(* Content-type: application/mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 6.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 145, 7] NotebookDataLength[ 857762, 15285] NotebookOptionsPosition[ 744024, 12911] NotebookOutlinePosition[ 855143, 15201] CellTagsIndexPosition[ 855100, 15198] WindowFrame->Normal ContainsDynamic->False*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["\<\ Legendre Polynomials and the Steady State temperature in a sphere subject to \ a surface distribution with axial symmetry.\ \>", "Section", CellChangeTimes->{{3.44393763*^9, 3.4439376583125*^9}}], Cell[CellGroupData[{ Cell["\<\ Separation of variables led to an Euler-Cauchy equation for the radial \ dependence (that has solutions proportional to powers of r) and a Legendre \ equation for the \[CurlyPhi] dependence. Let's take a look at the solutions, \ i.e. Legendre Polynomials, and their orthogonality relation.\ \>", "Subsection", CellChangeTimes->{{3.443971632625*^9, 3.443971733375*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"LegendreP", "[", RowBox[{"n", ",", "x"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"n", ",", "0", ",", "4"}], "}"}]}], "]"}]], "Input", FontSize->24], Cell[BoxData[ RowBox[{"{", RowBox[{"1", ",", "x", ",", RowBox[{ FractionBox["1", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"3", " ", SuperscriptBox["x", "2"]}]}], ")"}]}], ",", RowBox[{ FractionBox["1", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "3"}], " ", "x"}], "+", RowBox[{"5", " ", SuperscriptBox["x", "3"]}]}], ")"}]}], ",", RowBox[{ FractionBox["1", "8"], " ", RowBox[{"(", RowBox[{"3", "-", RowBox[{"30", " ", SuperscriptBox["x", "2"]}], "+", RowBox[{"35", " ", SuperscriptBox["x", "4"]}]}], ")"}]}]}], "}"}]], "Output", CellChangeTimes->{{3.44392973559375*^9, 3.443929751*^9}, 3.44393514528125*^9, 3.44396879925*^9}, FontSize->24] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", "%", "]"}], ",", " ", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1.1"}], ",", " ", "1.1"}], "}"}], ",", " ", RowBox[{"PlotStyle", " ", "\[Rule]", " ", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], ",", " ", RowBox[{"AspectRatio", " ", "\[Rule]", " ", "1"}], ",", "\[IndentingNewLine]", RowBox[{"AxesLabel", " ", "\[Rule]", " ", RowBox[{"{", RowBox[{"x", ",", " ", RowBox[{ SubscriptBox["P", "n"], "[", "x", "]"}]}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.443929744890625*^9, 3.443929745671875*^9}}, FontSize->24], Cell[BoxData[ GraphicsBox[{{}, {}, {Hue[0.67, 0.6, 0.6], AbsoluteThickness[3], LineBox[{{-1.099999955102041, 1.}, {-1.078408450229337, 1.}, {-1.0568169453566332`, 1.}, {-1.010001614411991, 1.}, {-0.9662886561456654, 1.}, {-0.9234331725984727, 1.}, {-0.8769453678520456, 1.}, {-0.833559935783935, 1.}, {-0.7865421825165899, 1.}, {-0.7403819039683778, 1.}, {-0.6973239980984822, 1.}, {-0.6506337710293522, 1.}, {-0.6070459166385387, 1.}, {-0.5643155369668581, 1.}, {-0.517952836095943, 1.}, {-0.4746925079033445, 1.}, {-0.42779985851151153`, 1.}, {-0.38176468383881146`, 1.}, {-0.338831881844428, 1.}, {-0.29226675865081003`, 1.}, {-0.24880400813550863`, 1.}, {-0.20170893642097276`, 1.}, {-0.1554713394255698, 1.}, {-0.11233611510848336`, 1.}, {-0.06556856959216249, 1.}, {-0.021903396754158182`, 1.}, { 0.02090430136471324, 1.}, {0.06734432068281912, 1.}, { 0.11068196732260845`, 1.}, {0.1576519351616322, 1.}, { 0.20376442828152308`, 1.}, {0.2467745487230974, 1.}, { 0.29341699036390617`, 1.}, {0.33695705932639836`, 1.}, { 0.37963965356975765`, 1.}, {0.4259545690123514, 1.}, {0.4691671117766286, 1.}, {0.5160119757401402, 1.}, {0.5597544670253354, 1.}, { 0.6026394835913976, 1.}, {0.6491568213566943, 1.}, {0.6925717864436743, 1.}, {0.7396190727298889, 1.}, {0.7858088842969706, 1.}, { 0.8288963231857357, 1.}, {0.8756160832737353, 1.}, {0.9192334706834183, 1.}, {0.9619933833739684, 1.}, {1.008385617263753, 1.}, { 1.0516754784752211`, 1.}, {1.0985976608859238`, 1.}, { 1.0992988079939825`, 1.}, {1.099999955102041, 1.}}]}, {Hue[0.9060679774997897, 0.6, 0.6], AbsoluteThickness[3], LineBox[CompressedData[" 1:eJxN1P8v1HEcwHGTL6HY3W4sFeXbupllRH7ouEgRnbKTo1sh1nw3rN0Z1c7I cpnFHWfL7Jpvl00Wt8KwyJe223XHnYvFObdz37mONGHVltfn/cNzj//geT6r ODnH1sbGhvK3f6ZfYb/k8SzjRx5ylM5yLiZ/81IdvhlTx//Oqm/AZDhdZFRV Y7bIJVmZhZgLJR4RxKuYSZ181QftFhitNZbtXsCsqyUEyw1mMD6m/uMk2wQ6 DOaObLoZQSXVrKrp04PC3iVWeqAOjLc/lh02sAHuNUryKm5rwK6vjvoDiRos IasbDAXr4K5wv3zVVQUy1yrncU1KMIRxvZ+euQLmcrJ68JnLoOfET19ZkQJ0 TFjU5/fLQAPpOf/poBQk+DgmiBVikNzaHsKTzIEZxADvSs0kaNphX3P7NAru Rri4es69A0esBryikAtO+y3oNx9xoo58XLwRXkEaAEVUbWx3yijoK5LFbQVN gUbqjM5K+AJGnjm3TeGKQYlToSttRgre6KxKHWyUgTGh7l52iQowLm3VKo9e BvHe9CcyhxWwdMyOHVitBCNJYaEs3Rp4a4jIk8atgxlMYa36sxpMOfmawiZq wCTT6fYdwQbInr7fR/PXgW+LfzffqdWD4uxg+xP2RlBGHE+i55lALy0urWvW DIYzD7dpPlsgRdMh6J3HzGW6+S03WcDygqGzPxCfPbjn4dSM2Rrb7XwZcRYX ZXmFGCAoGrvJwVQtiWjDXEyzqCxZgrg3cSpRi4jrzolyb8Eklx34lyK2uwRZ ia2YgkOpkYwotDA0qYiixalvNYj7b+gTa4jHW2yHfyESXvS8d+NhBpZsd5EQ wx+2dVARo++S2/IRKfGaJhbi/4+BfwDKGq4I "]]}, {Hue[0.1421359549995791, 0.6, 0.6], AbsoluteThickness[3], LineBox[CompressedData[" 1:eJw12Hk0VV/YB3AZMpUKoUlCSkoiDT+xrzFlSCKUhEgUCj8hIkThh8iYEJlF ZIw85ty44Zpd9x5TMlzca4iQ3vOu9b5/nfVZe61z9tr7+zx7nX3I2tnQlpWF hUVgCwvL/z5vXAj7LyGBCZYSNG1lnmW0GTPM0xvLBH7M5uzBLcsobf70C/7X TNDNC3vNurqEptKo/qHhTND/FxJJP5aQB/dJD58AJqS2F/W61S2huN5OaytH Jji9JW7j8lxC3Q+Fz0mrMqHgbdMj1alFdCUjbbRikgE1cvOiLN8XkNok3XXl KAN0QaQ44AkDvQgSlOudmYMkV9cQz046uqQeWtkQNgtcMWYMo7lJtLXEvmp+ Bx2GNhMVRqbG0bDR3Ojz/GlYcjMN/W02gspyBv1vyEzBHLuY1+QdCrrEwWaj WPQTou4hjbKUbrQW2engZTABpjfA6KM5CWV2cE7/6RwHMePf7hcu1qGHhPHw mQdjYHnDdt86ax5aKdtww/hGgWBPD3xFiQXPEe+uXdHDcKHajOvJegXIe2gV mlvRoObs2zWn6kawj7HO5reiwOoYz86IoTbYW/tLosepH6z/sTSQYyUDp07f 9P3CHjhc6PfCb60bZpSD03xLyFBY41ZR0dYH505Gq93OIYNB1U2tx719ECiW MqqSTIaytIKtcsN9sJ+tXHwzmAzkU/GikYt9oN8ykeZ9kwwaV73yePb2Q7Gh Vron/h3RGK/zU7b94GXH8d7VoBPS5e5L6f7uB0FxTp32/naYL9umkcM3CLO+ GS7Fte1Qev1AYobwIDRT1RNjstvBwXf64BuxQXic4Dd106MdMu9//vxIfhAG d64FTwq3g0Wh3AmS8SCk/KU3bjH5Dh1j7hzKbwbhGJWscrqnDSpYHAJYDlGA TenRXeEvbeBbw9spLk2Bofgd4Wvv2+AMh4O+yikK/GekS611awO3E+b9lqoU YLQ2PdETbAO5KSFpI3wdSz9XVNy91gq52ye+LKZQgBCfLJ/QSYQMnpkSIZEh CCwzqKFXEvH9UhRRPjgExG7Wy4Q0ImS5HJ82lxoCw112Vj9diNC/ITb44vQQ 2IScjFQUJALxscT0K4MheOFdO9t5vQXGOMO/3Qsegg7L0WyeoWZYifwdJs0Y AkHf16ctGpvhxMJQk8+vITB7q1VblN8M8/scHVs3hmB0ILfP1KcZhIjRXNe4 qbBk6Lo1S7QZFl6uOQmIU0FEk91G3aoJRjNObJgaUsFSWuqg90QDZGgdE1n5 QIXMXHm9ux0NIPLPGdj7iQqzMuiJwecGSDPZKDhXQQUvWdM+yfAGYNlVfu9O PRWiFUIiSIoNMOw9oeHWS4Vm5bm/os/r4fj5E6kBf6ggY1g2XCdRB7/Ub4ya XqSBS1c9X/72OnjolZfapEODCqP2C7ErtcBGKcs6bkADDZPJeIfWWnDZuxEx ZUoDC/O9VwVccUcRiKIONBAnbfgTAwFY7Ipo7qE0mF0O09hRXw26afIxVCIN 1uaKnWWiqqH/IkiMkWiwdbI/8aJ1NaxWK66NdNJAdFCS6ctaDb92Dz9tHaCB fk31W4ZaFUz4H/upN0WDj0H0X50NlRCvHauwkxODal9+8bnoSnD4CYRcHgxa PM7p8dhUQodxV4wyHwbDDoHpauyVcONdubDBbgx2Xdlv8EmjAqwW//WSlMDA RVg353VTGagGEKtClDF4utOl+2NMGZjui7xYScAghDv+b5ttGbAHEPaNqGOQ tj5mzLG1DPbUWSTuv4xBF/aE1V2rFM6tRq6oXcfgdHbeTZOvn0DTsO2EniMG K+d4+fYSP0JmafJLk1gMtq7+8LmT9BEuy0b5B8djIFReO5vv/BEs+vlTixIx OKPoTkJCH2Ggtkp7KRkDunX9ntbmAhAayzNQyMJg+pqTsPV6Hnx8wKEUX4YB D1liZeldHlhstHo7VGBwzGCgN1g7D3y+HBw78xkDe12N2A8xubC92+lAzRcM JjX27v59MgfcDPO0gxoxmFBs5o+0yQTr1289/3Tg8yt5siDOmwn7lM6yu5Ax kJI/RS4tygANAYtPw10Y2MomvaJsvocpk2u++b0YjEu57DySkA5e8kOkPxQM 2DOOMCpROlTYYN7qVAwkJajtuhNpYNfibBBAw+DOQe0IF4U0EJI8Z8scxmBU WJSvhpQKX47baQb/wIA1tmvWwC0V/Ka7RJInMBAXfEka25sKJQOknYU/MagX m9wj0JEMTrr2TjCFQe2u18K57EkgHaAynDCLAQvf3972q2/ApU2w/9kcBojH IXY5ORFkLnos3ZnHoIaVsFv1fALMd0wkCjExqFqc4e93jAVQtE5WXMLAbHFp wa8mBoyoXlIzuFcW/pCld8RAXvXD7W+WMVBY2BH95GM0vBNfWpn6hUEnU8RV cks0EHKerb9YwcCZeega6WoUpNnRb4mvYpDHUBA4uBgJBaFmSOM3BpcYFxa/ qkeCKfNmTRvu71ho5sjRCGgKV0q6soaBFq1Q6vn9MPj5MMpNYx0Df2rdRO+2 UEgq5XYuw10z1JV5tOAlCMhbtIhv4HmhrEi1MYJAh5wcN43bZZD754Go58D7 K2S71h8MCgb2ZTkrBEL4VaPRN7in+0/Y1XX7Q9f42m46bql+dETA/RlQCp9m n9nEwLrv6k8bYT/ILMYSnuC+8OGrvuMjHzg9e2D6M+6SvJnvO0u8IPD2+YQl 3DK5O66U/HoMcdzyWUf/YpCerdBucv5fcJzhFDTBvS/L5Mr6ExfYylGF+eKW 0llJVvZxBqvrOjzpuHdro5RAVgfwxSqia3FzaAantAbbgGUqm3c/7qmAZHR4 rwWwJcg0TONu8ZElfJK8BvZEOfsV3Abz3s/8LQgQdUrAaRN3o2vY8vNTUuhp J7nzL255aXVvzcc66HiO8+t13J8TX30RLDJFbyumSpm4HTv8LNS7rFDnX8KZ UdxPu85ZbOjZoZan/+4m4Q7vZdwqbXmAnikGXyvG3f6gW7b80CP0R8Kd8Qq3 idPHAgHMFV24rEa/j3vYOUz2YZI7Us6e0SLgvvfoXkGbmSdiVXFh2YGb4aIh Ky3sjV7y9or04+vn4SZW8Lz7KSLvFI58g5tFaVOI2eKHMD3Fu2a4G5Xo11OO +KOCerk3u3DrKrf0ro8HotfX4NAjfP92qpQJ5aoHoXxnQ1cR3N0q76+bpgWj oIZ6ic94HswJfr0lt0OQP7/SOzqeHzFVJ6E7NaHo/XZ1Jx/c46rm13cd+A+9 JBxN5ML9QP1cr+NgBErSC+Hjw/MoIi7AG54UiYhHOE1e4Hn1EueR+aHzClWe t9rcwPOtIrHqEJ0bhUbYP9j34PlvluyenreLQYbn0ovV8Ho5phP3/YhULBqY 6Ar0w+sp4tGN4tvjsYjpySgrX8TAtGbYs90yHnXqzf7Dv4Dvt8ksV6HZG3Ql f7nuMV6/+k8/0ieEk5CJ7/NoP7y+i9+7doj2JqH5M1ua/On4fJi/48INk9H3 a9UXXacxCNIMECjPSEV6Gqpt7Hj/qOi34ehif4e6leTe9o/j+b+vtTJ35x2i C/N+zxjD3x/FTZEST0OtPoFXjo9gIIxFpMUmp6NLLEGdU3g/y/ZIOuUel4m0 hhs6pfD+OMj7VCLqVyYiiT16F/kdg20pt3cXGGehH5o8nYttGDxsEv/9QyAb NSqzGGQSMTjPn1NrHJmD1MbX2qrqMfiWV3pF8WU+Ut4m05D9CYMNlTjVq5P5 qDEm9lV2EQayZA8Fx4sf0BDbHLwrxCBqVUk4g6MAVf1necEvD4ObmvU0Qf9C dM7UqGQ2DQN3559nvJSLkEKLe2pIJD4fV4mZQfsihC20zl0Kx+Cd++0Updgi ZEgQ9mALw6DNp4/zz1wRClWPVLINxuBQ2Nd+39RipDXDGzTmg49nZ3k9ZytB oyAt3WqP94P8MdmJkyWIKTQiJWuH98PCg2Na5iXoa2T47VAbvD+Xx+lwlZag Rnrrs9O3MXjcFLw/9G4p4tLqeKlqhI+P2tVEEstQhc/fLC38fK34ke7CXC5D 0lv2GOv9g4HeFCZlKF6OrLKOKuufxeuBYRIh8KQcSZgfq1E5hQFp86Jl7PEK xLhbHjAoiY/vO8qaFFGJPm1Z3f8HP+9JRpOaWcbVqEdH4MUcmQajVsIytc+r kbk8C9fsdxqsOmntHCitRl3k6drxbzSQfPl+kEfoC4pUraRCPQ28v1g6O/V+ QZd6/2mQLKbBcamBeEUTQMVDHco5ETRoWh9ftjpehyxvaTOTNGlg4O99z0mj Do0+o0fWE2gwyCVI8TKvQ9csw+1HlGjA2K1eGx1Whzh0Wpt45GmwX+5dSBO9 DmX1SR/bJkoDN5tbB6U/1KMRkmcacYkKEqQebcaJRnRa1vbqybdUUIs2MwnT bETRqyKNsXFUsDaj2h691Yi6QyIKVl5RIfXHuL9lWCNi4Wyazgiiwv7NxeqO 6Ua0fusqS4kzFYRO8p8qympCPkHzKbEEKnC90t/jcugrKqlTLfqXOgR0o69T i4Lf0Pyw8v43bEPAXcEw/n3sG2IVzlekblBAat/e+k3CN/TipH7qnl8UsBp5 kMjt+A3ROWXtn01SoNeRX+dg0zckdN2cuI1EgdqgW/mX/21Fa3auDfwxFIip WHR619OGVq1CkyliFFDZL7akH9uOiAXWDMsjg7CfvcFDrqAdxR9WfhMkOghr M7Z/djW3I+MD8nEZuwehtCpva88yPh5x37+dbRBiP7wJ+3CsA2n47pfqwgZg m96RFIWQDnQq1D0tIXYAVkNVGtGlTmRpzOss8bcfOrkd+Uy/khH/p3KTY9V9 cDHDx6QksgfpPI0rTd/TA+oKQqLsuv0o8NGT+UVpMmibYYu9ahTk1n/We1Oa BPwHzZ/2bKWh1MsnzJuqm8Clhj1MJmAYEcQCrtfVVoKKsqKC/9QIYjFXsYuq Sga9UukEsvYYSmUttlufzkSWnmVB403jqPvZ6ufhyVpkvP2tfpj0BLrnp3Ca W6QNXZndl7yc+xMNTf3VWAnoRmHNFvmmh6eQnBK3Q9RFCspzXn99NWgaqblc +K9kbRi128hxbOOgIyllbSCQxlGPNFwxd5hFdzPLkXLEJBKd3GWW2TKHZF8k 8H26T0dnPDeXTMUZ6JL4uoenHQPpT6Tm5nQx0C8mZa9t6AKy99whSYlmojKL BHbdlSXk9qD0wALukGbvL3G4/W7fFOZ+zUSpRxrcx3DHa2bxnMX9osdj2gv/ n2/ZhZhRuC8NB/fm/F5CUrlONZdjmCiq6HQd58YSGh0kmX6OZaLL6sThBpZl NEdyNezEvUnmzdyxZRmt1e7RncQ9f7Po/k3cu7JskVAcE4WZHV5dwE1w/XPY BXc1W9FucbZllMx7YlE6nonGBUzu+HEso9xNMp2AO+gsUbYNdxnTY8IEt61R 8prw1mVE6msceI6b5vkouhD3Rrp57QjuZtcqIo1zGXHFsX5exW1hpRl/jGsZ CYZkf9qRwERntOXt3HHLPFzKVMadtEVxKx/3MjpzJzHVCPfx7su9ZrjVrhMS 7+P+m9KQmYFb/9JEtD/unbYpj5m4/+9+BP3//cj/AGUVhkU= "]]}, {Hue[0.37820393249936934`, 0.6, 0.6], AbsoluteThickness[3], LineBox[CompressedData[" 1:eJwt2Xk0VP8bB3BKslRSqCgkKUqUpVJ5LGVLSNaoEEpZSiXKViFK2qwpWVok LQoh9ahElG3MjJm5d8YYuxYkktDvfs/5/TXndT537rn383nu576fc5d7Bdn7 zBASEnovLCT03+/erYlXMjKGsU54pUC8bQKnU/gSzNRh1OQsCFR8P4G5g7rx C5KH8VTnZrbBkwnsz+Wev5w0jOvGjCwuX5jAUHGt0IgLw+igcN33kvYEpjFb vDwDhjHeTf2qUOIfpB9btEndeBj1A8p7P1iMo+39XEFZ3xBa5TkGe7JH0aTv 24nfq4cw4ux1UcH4EMbHyWgzv/5A+imamtSXfrQ0vVz+IfE7em2n16c8FqBo sd/rQalvaHSoalPWqzbkO/wQxBYOoMcJUdlfVnVY+ohzfu+afuSPsZieNbmo uvPAj+Mr+zG7fI/4rzs5eONbp2uCUj9WyYtO7gnJxiCt79plCylLer0bt7+N q0v+8WQn+zBaf7SidcNNzKxS3dLypQ+FlEvHCob3YHRb4Ih5YB8aSQXIu1dm g+Wsmd56Rb0oFBYw/O5qGYSCYuiLx5S5ha3lM8rhQdjmRK0HvZg9FH9i36ly EPkRVKye2Yvaz64Z5LtWQBWTFFGM7UVl8/WSNoqVoJ9fel/UtRctvlh3fE1D UNl5pLdNqBfdDRs54WofYOJay5Ezdj2oGjXH3sGzDv74NYZGW/WgkfAI/2py HYybfI6L206Nax6uu11bB6O/qnNvbOrBa5xZbA3NehhyKeMUKPdg/pjx7iVj 9dCtfNeKGOrG9ASXNKuoL9D83F9j6/VuzK9lizoFNUFTgt8mk8vd+Gm36kzG 7SZo9PI1s4jtxiqLTf1q9U3wWcbDyyGsG1kDnrTlC5qhJnTPLX/Pbvx1pFFh /dFmeG1kIHFnfTf2Ccb3Ky1pgQfNswemWrrQWkw4wNebBj4mmdl+X7qQp1AV Pfc0DVSL1zkzarpQokBwOyeBBrlpjtWFr7uwzKFwxvWnNLi7Py/L7X4XBpd9 WnDlNw3SvxnuKQ/twtteZNl0bCtcFgupPKnUhWOXVCu+JtPB6oz4Cf6SLpR5 8adk2306SHy7rW4t04W+5jP3RZTQIb7pQ+oK8S5UI+a++8igQ0yq9HHaz05c HX466KwsAyJVn6zUrulEh1172JHXGXDMqCvpq38n5p8SRIqHM8EqN3z/iUOd qP3ZeT49gQmqIrLr/np24tPFutlX0pjAqt3RIOHciUuNbBobXjDB2PahpIZx Jx42Mh4438eEBfuPxB+W7cQFIj321XZtUHx26Fz3GwEyz1ud+ijDgiRu/O6A MgFGxxsuC1NmwWFYvnz0hQAdC6bdl65lwdKZ9lUi+QIU65V6td6UBbGXXk6v uCFA3eqnbunHWOCUEXLWy1eA0pK56a6fWPC7dPJk+zwBdpdEBjUcZUPuqxDD ITEBaiwNDbQNYYN12dBs4ZkC/DTCa3kbzYbs8q5bKr870KElmOeTwgaLyi9V Pu0dKGGoWsF4w4b0d7fnfHvWgWuy9dqMJTlg8l6OOfmoA9OLPv69LcOBb++v 3Z17rwMf3ano6V7GAaPqmA1a6R04j2+32libA301/i7B0R2oKJo9S9GBA5u+ bL03bteBrzPsYkLSOSD4UhogvrMDDb5+//48mwOJDdob5Xd0YGF0bxQ7nwP8 RtX6LZs78M3uAL3RMg7Et8wZilzegW0xujecWRxgMckts37y0XJ4U2DDQgLC OsJbpW/yMW7UOTE/goCuM1d2xF/hY3nEAGl9gQAbmaxX0xf56DI+YCOIJ2CF OWZ+Dedj6W6Fx/ybBDQUCnt/9OXjr8DopjWPCFgeGvcr1ICPMStuqgi1EJAo neY7qMtHfYevvDIGAWMFD1k+Wnz8WGA+5yCHgM/cT5X2qny0c/rZcLmTgFOm krFr5/Fx+TmnUK1RAm4sU15T9aEdy0evffggS8IhO2OpJ2XtKJi1oDtlCQlb L3iNZDxpR5cgzVrXZST09N17fSKtHSc5iztKVUkwKFa3XnW0HQ0GxX7XbCBB qtdKW8ajHSvy8vJX6ZPQtcRfRtixHY0+55mc2UxCUtRTkmPYjhpCFaajQILA SicgaUE7XiNiZplak/AqwmH32dntqDbjRqyOLQmJz0/pHZ7kYVhJk6ycPQn6 cmVTxj08VLV9f6bImYRLHVuTRst5WLD6c4exFwkHZPYHC57ycMHVvMAP3iTo mkc5NeXxcDDztM7GQyTwCt8pPrrCwza98dDRoyRsCDV75u7Jw+PbcyMbTpLw sE/jopsjD/O3lB6Ye5qEpa5SB/Za8jB4b5HhtjASRA1Y81zW83CzZ7FUQAQJ Zwsqe5xW8vDMz0PzAqJIGJLPeeu4hIfNU66q+86RwP7rF7hHmIdbGHbP5saS YONvY2Y/ysWrVsLrG+NIeE9uUNzdz8WoRPPOyHgSCt/8bbBp4WLup28/n18m Yfk6/v1dH7m4xP+3+4YrJKRmVUdYl3Px0brB+feSSIiOuqJplcPF7INTQS7X SRgdPD7LMoWLZlG4KvMGCUc8nLjmCVxMmFNj0niThPZmgxKzCC6K8X1rh5NJ cDBWurLjOBcPN/5+PSuVhLqimT7bfbhoXtioJpFGgqFK31ZTVy7usDGe94/y qplF34yMubh6/W7/igwSbp9IqQY9Ltoo3BqMvkXC/K6w24bqXJRbyhTblElC rMP+k9uWcXGFmNvbdsoT1SbWW6W5KFMcKRd6m4QgvVWqW2Zx8fKv1EXCd6h6 uS85ufkPiepZf2rPUHaVG2rd9J3EpNhJzW7KjXH0xxs7SHSNGrU1yiLB9HfZ BX0GiVoeBrqJlMsO3XHTqyPx6aRyxyfKmqxzOrpvSAxV/+c+RjnXwldSp4jE ta81nsrcJWFRuVXn+vskHo37w1lBOVFd67V2BomsA+/6/7PQrYU3ta6QKL2U xf/v+FMS40fWnSOx/OrNmv/ON3CGNNE8ReKxq5Y5dZT3f62SX+tHImPQ9vQV yq1u939q7CMxMXbSxoSyxZeEevXdJOquvL+uj7qfN1sDc1fvIDEg7+7SKMob ntifWbWZRA7dWGk25YfLNtqraZK4OKljazQ1X0uTFDRWLifxSx797AA1n9en /wmrypKYMnBMsIOyaFAXW0WcxAUb55y+Qa3HmfZPRcunCOzbNwnN1HoN2j5J UB4m8IVOmum/dBK8q657KnUTKHdlQ7wSZZZ2yGZFNjVuqCqznlrv99LQr/CO QPkpT4XVKSRsPL/inXwJgSteuubNpeqn8OfsjCWPCBxY+O9yF1Vvqa3NFouu E7h2dUG67zUSJLeXKMvFEvgtxq1O+ipVr8UZ4zJh1PE86ZNPqXr2S/HKX+BJ 4Epul13lJRJkeuxeWDoS6NQV/lc3gYS3+lAZbUmgXpgq3r1IjbMUmn+sJ3Cx 3u1HO2NIqJJn/K6fQeCYw8yXU+EkHD36QXjGbw5qq39vmH2WBLnKIsnNXzm4 fR9nvQj1/B7dl6T0sJWDko1l31qp510u29z8wj0O3lvvxmyi9oN3Q3q7K9I5 uNlbr8PfjwR/Y1W34UQONnwS9Zn0pcYFQkEHTnFQRjph8KcnNb6yInWLGfX/ Kf4rQ2o/el+wtmekl40+pgkOTtT+FvBXfkiDZOP1HqW3y7aSsNhafMKzmY0y HilCrE3U+Pfuuc1lbFyPcqtXUvvnYu27eoUJbHS5YvFIhdpfA0ukY73XsHHQ Z+HLZ7NIWCIqdDVTiY3Db/lhD4VJqHb6kU5byMZbN06G3ZgiYMl4faHRJAuF bvYbmFD7e7VBDH1pAwtznHmB4l0EyFeNrWAEspD37Q57CxJgZrIgqu0gCwMf M+LeVBAQXK3JYbuw0GTLkJ9uKQF1n7yv8UxYuPeSUbfwEwJCW2iTvXIsjBA7 vmnpLQIYgqeMibdt6JaiccM+mIBrsw5dVJZqw3mhnxT65AmovHheoCLShjTr 70NLZAnoE8/atvIPEwuaL6UZSxEA8xgj6p1MtMnJ9Q+eScAPOVMPnVdMPB9/ +O3erxywXq202ewAE0OifI2tyjkwe2fbwNFnDJyfOtJQs4sDNInSzdF5DHw2 Stu5wowDWfXJ8clpDHQOGo87acgBfSt7tTdRDCwW7dk1uo4D3pYNnvPsGPhL cfrzMSkOVJl/YD0fouOuquIxh0Y2hG1/VjO6no7NS2nBU6Zs+LrtYm5UMQ1n DEUd0ZjPgk1aN00OPKKh5Jp2/1RRFsQo3xUYZtFQvsj9z5/JNiofvVKZvkjD 5cL86of9bWDzqSc33I2Gmd47Xma9b4MX9mZ5YTNoeK4t1Hk6uA3OHJp174Rd C+ocGJyT38AEGZXZO5tYTbjt4vmHeJQBRulZGzJa6tBm0mfunLk08FBXUwrv +YCvzTYZ8+9/ge+jidul3lfi6LrEAb9lH+H3Jsl58nXPMdDcOOn0vzJ4PfJ1 ASsgFUs/rboy1JgNNar0gcFDKfBMQvfeqEQ2hgT16p/ZVgTnS9oH1haUY4ND 346HjpXwgrNrQr2lGlc0MCyGNKshdfRP4deZDfjNobZ/RKYeNM5f816nR0PD pcq/bFKbIDaBZ6hlycClIh9CtZ82gZDghUq2IwMnvvpMSdc0geVX03diXgws ef1YlDHaBPZihbLvzjAw9Ulm4hONZojTFQloeMzAObtW3dW51AypafaetnOY OH7ZsBosW+Bohmvllxom9v67Gqft2AIx2tGdq2lMZJ7osFju2QKVmzqnznKZ +NItpmFGWAskJAeOiP5iYuCaeubH/BYYMpbQeabchl31jv07xWggVtp61TS0 DVvEA+a51NLguEyOgp0yCw2tr0dF0GhgJrY8rkWdhYVJJUO5XBrsTNnjYaXD wviF07TvIzRwPnPRVsWMhUbLrqZdUG6FbP81l48cZeFT7SLlZ2Gt4NB6dLZL MQsTnUc3iK6l+oDiuckXgI0TGUvurdlIh4GEmOX95mw8TG6T3W1Ch/RfPuE7 7Ni43TPud6YLHegXleIEHmz8e2RR5fpYOgzmBLo9OcfGI5Gbd+zj0UExLubO uXdsNL8f4Vx8jQEySxr/CRlwMHJ2empOJgP2duatWmDMwVK/F4ykBwyw0OaS Syw4qLaud49fJQMKlfeTc5w4KPrKzk6xjwF3hemPoo9zsObTCst4YELAL2+7 zAcc3PGtzsD9BxNKlD7uPStOYLhNV5jlHyaY2Rz87iBFYPHz6TJ9kTZQOHnh pKosgaqndDZKy7eB8knNXfeVCRSZvq1Ts6MNsr965WpuJLBa6tha7TttUNK3 +qmDF4GmOnKKItYsMLxTz+Y8J5B0DvBrd2aBrNjTS1+o98zJ8OriioMsKJDb +bKogsB7H4N3Hj/Lglu55nucqqnzuzSF8gpYkDvPc4VYG3X+8PjWMnE2WP6r KxSbINA9p10xWZYNctINk+umCfz1Uf9I0HI29NHbvSxmkKgq1S2ktpkNumN1 Lg4SJMbmGK+7eZgN+zfVGjUvIdGsZiI+oJYN4hfkC+z1SeQN7KZbtLLBQzkr 8iH1ng6ReqSk2s4G0ciLswe3kvjAxbmUM8YG+pSyopMpiaJfX3aaq3HgRH7s ywu2JGZJSWqt2MAB845d0QH2JOrrep2Z3saBpI4HzZaOJPpGzJcuceTA3Mrs TvZeEmulAgxVYjlQe7x+lbMPiR661QlT1ziwLUrLl36IxHEXBQbrNgd2utn9 Nj1C4urcuqNXiznwcYbbnz+BJMbrqmVMdnJgTX5BS9VpEpVdI7raBjlw+IPI 36YwEssi6Fov/3LAq3iHWctZEvtqztf4UX2Lcqa0RkEUiRau7SNME+o9INN3 tjiOxAPW4j96dhFAi557b1M8df+g0zfmQsCehqyrzxNIvLfyIikXRICas/ad s4kkvl5cxFQ7Q4DGVrOSRipH0SSJZv1YAubtHgmXvUqi8M91H50yCWhzNZwd eZ3KOd0u6PuAgGOjw3j3BonarPPlIUUE2M0/LFNyk8T9b5lPUmsJMF9YG16R QuKpIqH8BzQCFuZ9jCtIpXLWPY3cUi4Bl4RfLE5KI7HiUmQqc4SAgbCoKi0q 17VE5F/rmSbg/JaQL98p9x2jXRoTp3KiQpz13VskCnlPxohSfVDNt/It2zNJ XOSsFiWnTIJazNIUkvI6K7swtTUkrC4p23P4NlUf286c0Kf6nLw9GcG9lPdp 3wswM6Zyok7dN9c7JJ5c0XjIieprglfveYOUL8uNe/pSOSFU1KR9cRaJueIq 7iFU3+KRk73Lh3L55E6nuAASZjSEzbxPuXnwlF1qKAmb97H+tlHuFdy1enCB 6mNW1q6fpjzNqNteSvUBDRN22YvukihXN2JYQ+U88lm0iSplzcplm5n3qJy6 2HPhf97+zFyn5xkJn8Wn5v53vHvucc2xChLcnQ5oTlHnO5GSuUq0hoQQ2g1/ JuVL8R+Xy7WQ8Gt3bk0u5ZyzgwpqJJX78tP1vSiXBS6R0++lcmZB9CsZyk2e pvPNflLXu8ZnewV1vz0OARJOU1RumrZj2VOeMk8T8RXjwo9xm0AeNV8yW95N n1rIhdTvfsL7KK9d93U8VpHy88LERmq+TZfLjqSoc6FGVkVSh/JeGfh+X5cL M4bppy9R6xU826+3BLigLNfcQKfWM/t7JcFw5MKxK/XLTdJJfMXvYXR7cMHh YrusD1UPja3zm0ePcuGC/OH2M1S9TJZ7V8ue54KG+z9eZDKJC58kvV15hTr+ xQrJAKreNLLLyvTSubBhuGd8F1WPrnFznjg+5YJv6KlZfVT9HgvTf+hTzoXg w07yOUnU8+bvkXOqmrr+a8Jca6reS+2LU1I4XLjG6nAOv0TlciX3SIYoDxRO /Ek3iCExgf4+pnUBD+RWxYUePE/V3yX1yy2KPCB27DsXHk3i4K+xtAZ9HugZ PxyNDKdyf/31oo++PNC50/Kq+gQ1P9Hjrz4E8yBJlq0deJyqd70Db99F8iB5 JC97dhCJj7LXfn6TygPJ/UY7Jaj9IS6ktqukhgele18r2Byg1mPNuq8vaTzw D5x1K8SdqteO5OEiHg8KBJfJJFcSD1p7TT8Z44HWEYmUpD0kGqlMLXqg1g5B B0dV6s1I/NuwYWdqXDusCnq7Zq0GtR4XMnYn32iHCMPu37vUSBzYJORyI6sd FnsbrDigQvVVeQ3eSaXtcENrbaStPDU/YYcj43ra4YGeY/Ihqm8pW9DksmUF H14HjlcEdVH7f8AMdwN1PtxwVIiJaSdQ65Pegc1afDgWv988nkPgg4jbPhu3 8KHQdkaeezOBKX1+wTp7+KBJ65na+JrA4LciiWsu8OHdogOvX14hMCA6p6c6 ng8ch9luCvEEHjYxNN6fxAe53+qfT5wn8EDN6bFrGXzwf2At9juEQOvGAY+x Z3x4bCfpa3aA6lN4zXrvSD5I0C9piWgSqJwdcG2vgA9391YHhKgRuNRL4utI Lx+W6q7XYCsRuKDHNFtthA9bFRaKH1tA4PT3UolE8Q7Q2Pu3UTDGQdbU7XYn /Q5wzjzzt62Sg6242WBoSwdcN6e/tC3hYOM5ZnKCcQec0pVPf/WEgx9nzbeq tO6AAkl2k3MWB1/MvVC8/GAHkLZq/uxIDl5e5pfw7WoHiGsvZZFbOWi4TU/n fH8HXHTYF1lVyEZFqYaT/350gEPcE9rBPDZO871Lw391QFa6mv3vDDZiTPLm 0/86QMJwPf6IY6PRlxHwlxWAUP6fOkUqj5i4vbB2MhbAb0a7d5QUG83CtHw1 MgQw46JFtbIXC9V21j58mCUAu8m18lVOLBRddqBf9Z4AtHapC9nuZGFtVZK/ 0jMBSHjO9tuiy0ILsR/BMh8F8MO/QM1mFgut0gqjpocEIDIiI+N8rw13lahn 0Cw6wen++890BhP397Xza2w6QeA7/W1jLZXvFFJXv3boBAlzb6GLZUxMOjej LM+jE86nDnf13WJi8y6CeTK0E8bYfb8r9jPRvidRZlF+J/iunyJuCBjotGjo qtvsLlCTc7bv4dDR1+pBm+3cLvC+dvDN6zo6hkS4K21f2EX1RS8dwsvomNb5 6elapS5wuOI1+DaFjqxnOQ1T+l2wVqJ5laUtHd0s9khm+3aB/487W/zftqJH WGlc18cuWOp49967RBo+X8hceeJzFyT5HskyPUNDoaej1cItXUBa9te+OETD uwLdmUpkF8xZ3ZPiYkJD3s6XUa4/u8Dkuez1d2MtuE/xeWijYjeMuy/KEnFv wb0fHh0pO90NuUlCHWsWN6Pj3Ds2ieo94LH48kT943qkixEj17V6oE+xPk4z rB4dRJZkpOn1QOX3kB8eZpT/JnfmGveAzOmBpQb8OnToTwwtd+0Bly3frxZL U/4YntuT0APp2cK33x6tRfsI9zGjgR54ft23vOHvB7T9rpA1WtAL8x13CeQW lGPxuING+/NeiJ5KEv2cWoaLRZJKP5X2gvKHtUqKCmUokBdqynxP+f3tL9kq rzDEouufMacXqpy1gmU1SzArr9AzSbwPhpavfPVAqwh/uG5buepwH1TtlzCO YuRgYs3+QpeV/eDxqujWjIwceBz0N3l33AAov/mit2NxLTR5a8+aM+sbHKNr BZF724ChjrbuR77DscCBdeoiAlDsk3Z98OkHkAlDdnGS/aAfNv3LRWUIFs5+ stOoeQhserILHrUOge2Jo6b+lqPgFyalStwcBpW9LjHpjyfgpH/Jsp+UH9AF omaFExB9wG2RePIwqP1NvDxCOX3HQ4mNlNc6G2XaPJ2AT9IwfIPyePoKukjR BKgVBL61ShkGvyLe4+OlEyDgNLhUpA7DnzyDEet3E/Cj4YR9C2XHaSyfoDxR tcS6j3LEPp/z+e8nQPqhD8ilDYOJ3nx5keoJMDoxtTKYckx6j9frmgnIktQc UU8fhouZ6Xs1vkxAwTTtmxHlkqtKpizKpcOhPc6Ul5TUaMY1TEBDWzU7lnJy 1ilxQeMETOa5V3VQ1jdw4mS0TIBY2oyKccqfZrW3mtMmQOZS/kupjGGoWRzf NEp5zbFfD7ZRnq+8pWE3fQL0D97KdqDcu2RH0z/KJk5Gt45S3u0b1PqEMQE2 lj03z1OeKVbBdmNOwP+/B8L/vwfC/wBEQiwo "]]}, {Hue[0.6142719099991583, 0.6, 0.6], AbsoluteThickness[3], LineBox[CompressedData[" 1:eJw12nk01P/3OHBESZsiSmXLkkjatHLHkoiQFomEVIhSJCSpt2gRUiHJvoVs RZRcCYnszJgZWWYz1saStfi+Puf8fv/MnMe5r+frPp/3eZ+vmTln5ByuWVwU 4OPje0a8/O/97KGQp69ejaLLXGrnw1F+0vzLHhFy5ChKv2CrV3fyk5J+7364 5sUo+tfV0EVr+En9Sb/uPwkdxQ5Bj50Ncfwk76Xbve/8N4pNwmamXBN+UhS5 2cHebRTns22kIrP4SG3ukvtUdEax0z1yxo09D2apSYxiLg8rGbPHRE1n4WxD X2cJm4c9euZds8qzcGlKjfKJwUNB41IxAYFZ8Df6WFfayUP3LfpwqWgGcobr PpQ38dDvl8+JQNkZWK75J6immIeu13yPrpidgprqI6odD3kYaL89l7/iD+hy hzymtvBwllT4byJpFHLO3dFVVeJhk1zB7vIHoyDVumL1+c08FMhcMpDoNApj X9RzqjfxME/3blaG+igkPXfnvlzDw44HR0MqPvNAyJ9b4jT9G13JYQgffkOQ 6tQTRtxvDNcV7v/PdAgeBolrkAdH0D300VlHAQ7ctj/AseKM4L6NXz1jW9lw 9ZBd7K+eEWyqfvpoLoUNJ8eyhNntIyjuHmavbsgGWVu93nEcwWK/mwIXw1lQ vOdGxOoXIyg4aVO3ZAsTuKzGCZNDI/iz8Jp6gUcP0PFPZpPmCEY3TqhmGvVA Q8wG+5M7RvBQa5f0d5ke+GB+ud5aaQSdhuaMuqO7IaB0PtVFdAS515L7xky7 YN2LbZYPWcPI9d5vX1lDByO9JyXfQoYxoWWhducYGZZ/iXBuChrGvPkTW38k kKFBM2b9r4BhNNwiS883I8PJrW99Jj2HkbQTn/nktIPd6u/7Vc4N4xm9HTO/ rrWBd7fAp9Btw9h0f9lfCn8LZNz2/WTVMIR8qzQTZypq4cqfey6XaobQvGR3 sNzuWlC/9kjKo2IISUvz97FSf8AHh2jfkKIh5I05fd/3pAbKjYoOYNwQhh8y WCdxrhookmOfFK4Nofux8e5zmypg8Qfnz79XDaHsYW0V0Y0f4HH1EnEHESLf a7O8q7vfwwpqqmubIGGzTTtqjxWA+HzvppKZQezprN3l9V8eyBmeDbjPHMRy UtxrlT9v4VDn0cNrPw4i3ymBOEHbaPAQVGs8YEu4yIU61fkaJyVqld+dGcSA MXeN93zx6KviFCBzgnClf6G1aCIGmKbsEDQkrrffL9S8NQVDoze+qN9B3P/G 3LYYo0zMVFthZSc0iHat2W2fJd9jz8kRxoPsAZRVti26erwMdy++uudeGuHz QasGliEGfxwO9ksYQLu4vOjzVYjqUsNqHi8GkHdd5fubmHK83T3oZec3gOEv didfEKxACZd+kYMmAxjgr1ZKwUo0vsvayRvsx3VSTfscO35gnIbjg0F2P3Zo aLe2KtbiWC+Twunux4RHZQU/btRitD7T71drP/K93OFgtKwOOUsZ1bWf+1HD v+1yguZPDHjRfTb1ST8G5PnND3o1YNFb2v2zqkTcV6hw0qwZFYzPj1xX7Mfp 0zSovtqMEUNMq0cy/diU5HLl/NNmvLZ9WKNYjMi3843K7x/NuKVwoWvtXy6a +BYwgkkt+Lpc4WDzTy7qC8KOz5tbUcThbRq3mouGWu1Gu6EVvRepr+H7ysXp RxvEfM624kmDvf3qhVys3JJy4FJ4K678aRQV8oZwgoN7y0wrBlCujh+5ysWT pZ1jK7+14Yj3uO15Jy7+PTZwzoLehjZS3rVeDlzcIlF/78J4G+4/dy8x9TQX xXeL3Pwt345jjOdmi4CLpemeofl329FxpDirbBUXeVEzr2e3k9FIaJHjnvw+ zGhQX/B3paA3SHsXZPWh4aZ1dnfvUDDNZ3/I9rQ+LN6BnpahFBQcufZB5XUf qqXXSoflUrCc3Cko/aAP+e4qH5ThUVAzoyh1sVUfeqdJZnc4d+BFRnPJfyf6 0LVSQt7OuwNfbByu5zPtQ9H0Pd3lQR04Gr55cla3D5frd0asTO7AbJ9wg99q ffjXrzLmF7UD5Y1d+ih8fehHPz16nkTF4w8ezJ2c46Coy86gYBMqBmDCqpY/ HDw0mfr70Rkq/tpF2ftzgIMBMqwkGXcqRm/Uf1jexsHyg9YHn72h4sqRTSpv MzhoV/w1NWmUilpb9mspJXMweyZZ8L85Kro6nDye/IaDD7OyEYRo+IP82OdN BAdTlhhkma6jYSBO/Xjmx0HW8q75ykM0nA1vdvE152DCy8tFW+7ScMa5wTvg KAc1hDaU+wfTcFq3LihIn4OOUf5vs8No+GeiMiliHweXT2i+DI+nIe9MMS1T loOybjWb/b7QcGRHITdPioN/RSL8X1TScFikYLJInIO7O6ezHtTRcKA0a803 YWJ9xj5TYx00ZMvGH6Xz2Jgz7PPm7ygNWTOvz/QOsJHLi6F2TdGQ0RJ9qY/F RqV/B6gx/2jYExhxf7yDjfNV9TEJwnTsOhcWPtPCxsnOyOiBFXT8pRkSt/CT jQn5T5pXitGRxn3wadlXNqadNXblbKQj9ev9mtWf2Tgtl7U0Ro6OHTF3yZKF bBwLsbPaokTHdhOfsc1vifGHY4Pa1enYlOe69dAzNtbu1jp9U5uOjY+c9+k+ IeIGzpX8unRscLhkYPiAjXnWRc3Oh+lYJ27ncNKHjU39d6DemI61wzbuZz3Y WCzzg1ZjSseaait/Ozc2+reQHyccp2O194kYV3s26h64F8c6TcfK4+YZN6zZ +EH/3aHjVnT8tvVYkfcpNg54fXKMsaZjxaKjlf5mbDy7rHNX+Tk6lncatAQa sTFgldb3ivN0xEK9nsd6xPUX+A4l2dOxLJQ0Eq7FRlIpKdf2Ah1LL2v9jdxL OF5Ue9qRjp9JB0Te7GBj0SVfoWuX6Php/d51yapsvA8B8t8u07F4bJfSW0U2 xqlsLJhwouPHOo3duTJsFJ2G5kUudCxK2aZbuJ6ov3l7LI/whztbzT+LsTHw 3Zcdn6/Q8f1pZduvK9g4a9WSfcGVjgXbFVy/LyHy3WRtHSCcJyznW8/PRoXx 0hpTNzrm9m562DrHwvKojcnPCOd8koqk/mGh0t/P5ALC2c8lU7p/s3D6iXHA /5zlKl7A7mfh5AOP0nDCmYdXlw8yWTgy15p+jHCG9MqG0V8srGgRPN9P5Euf EumcorDwRsXL+f/NJ61pycC/ZhbOn1qZ/IWY70Xd1wnOP1kYu2Z/piBhhQ/q lu3VLFznKbx5O7E+pmLFCp2vLCR7xCtoOdMxKepUZfZnFr5ol6pWJ+pjv7Tf d10RC08rP5MWJOone9tvR2AeCwO+rjn85SId422T46xTWcincPYM3YGOtk2a p77HszAhXM6DROyXtG7tsl0xLDwUOvXxEbGfsYqj3iJhLHTQDN3wg9h/66jA 7V6PWFhGkXZCoj+klq7j9P7HwrypcwdiLOkYPaR9osSbhZcs9Or+WdDR0rZl qaIHC/3IwR+DzOko0XSxPNyNhS1XPgZOHKPjy/ch25wcWGi4smnjXUM6nlSU ZbXasFD3o+LaWKKfxaPex4AlCxXeglEc0e8RvrQlkiYs/Gl+Ci0O0fH4kFvZ fQMWDk08URfaT0dRW/6bIyQW5pT93fVmDx1DdbYwqvaw0OB4mbU/cZ6eCHuV esoQ9Yoqf7FEho5HfZd69KxnoYvQuGq/FB1FhmJVTMRZ6KojtyJfgo4PG79F bl7KQvW/9MUTxPkOjFx9vWWMiYIZZw2N5mioJ5yqrD3MxDNblRPOT9JQwHdf 19s+JgZ83DxhQzxP7p07b3yvk4nZ4sf7l/fR0F/hnaJGNRM1l8d56DfTUCuS 1Pm6nInc0L3rXhLPp79L2iKWfGai9nC6c30VDX0HZxe6cplo8nbA5U8JDW8V GNKevmLiRstME8VEGrqTWKGDrkz0VdBPk7xCw6NJfrYel5kYEzqSutqRhgqC a9Xn7Jloszrv+R8bGnZ8P1wvYsnEosTax7dNaahjlr5sqw4THYJsZO5r0HCN rctDp7VMJN+RCHvCo+IQCpzhrWKi6enJwW1cKlbLvVb2FmHiyYVYn8/dVPRl 11UHLzCwbELuVnQDFZmu24TS+xlo+3phi00WFT/c5t1jf2GgWkpv5QZ7Kob+ enjcrZiBEkkj/r6WVHQCObk/BQwsHSxMqzpGxY2LLMoFMxhYHdj3VO4AFR88 fj+/OYKB088qukZXU/H0K6/bDpcYKPecFSlU1oFTRX89u1cyUCpcLjpAuAOT Pnpp84QZaBjxcG/oHAVNinlL+BcxcO36kJTgEQomlLBi5Kd6UcWYd0S7jYKG pT/LL3b3IktH8fSXOApGf41dPpTbi+VVQw8kNSi47+ehlGnzXiwY5QOGPhl9 ev1aVz/vwU11sw59B9uQ5fv08MOnPdhf9aPhh2obmorHfZwP7sFF+61y4je0 4eYj+HrQrwe3MgtEleZasT6b37HqUg+aWzefiS9pRTnvoAnvAz2YcnYy8sTu VozYJKta/q0b/dxdwrXlWnCnt0GujX0Xat40K2suaUTnlw4Za4hzurmysn1c ogqlyic3t1/twOFjt2u/y3zAJcaUgSu57ZjA9MsqeWAPg1rBSXc/tOBucQtv Q9UiEJdfYtzY0Yhi8qZJmVcrYfhu6o2C8kZ0yFXok3lZCdW/9GJeZjSihfK9 7/c+V8KtVwH91t6NOOFM4V8mXAU00dlgrmQjlq+eH9VIqIL4haFKfssGXCPK iv/4sxq2/mrR3t3+E3lXtmZISfwAUnTczlfNxPfO0qqUiov1EFhkXjZU8gN7 2zWpskH18KNN4Cgp6Qdel1ANuJxWDxarL9v33fiBUbfde99x6sHx8fbwPeI/ sPxeuuSmSw3w0K98uPl0DepWKBZ72TVCkx0jQ6SzGoeb/kVaJDaB+N0Xu20r q5Eppzw4ndsEVm8MyvOzq9GM2+kVUdYEDGom5cydaowSrJaIpzfBhIXH4nTp avRep5G+aW0zrDss6KhnX4Xvn2q9evugGexUlGT8ON/wGZPeXmvTAmmZO49d avqGezuM9AadWmBYFW6bf/qG2+QVfy54toCv+hmKQug3nF9GlhJ62gLPdz0O q9/zDcMlzNYFlLZAtdbIgvSDClxCixLetb4VVC2Ker5u/opxSnzxzj9a4UZr xcrsFV/xtfff6EVtrVB8svFQ5FQ5rtt/YtWzrlbQt+RGu9SV41h+qW3QeCvY 2kgdF/MoRw4+WErb2Aby9X/v/whEnFv6LlPOrQ2G/4Tor6ooxe3FzB3igu0w O1JwTTWiFEntErXkFe2wmNsRc8ShFCclF614LNkO0jSF0bsCpXhzld/diq3t YFpW+oan+xmHsn+H+Zq3Q17Q0GTztxLsb/2ls+hVO5TeXSM/8rwEpfZcMGlI bIca733HRBxLsPqyxsdHme3Q4xKYrCtYgqQpxdjmz+2w2myj+Xv9YnR8wdqa +qsdbkiavH1RVYSjN/vyLaXJ4C96oy3vZRFOLThUKSmR4fHS6IWfF4vQkvp7 kr2NDElzzFNCi4vwJKsxZbcWGVq7bwt4GRSir+ytr2usybA7I8va8vt71LNp /t7wnAxT+5atlPqRh8ePaguqz5Bh8TT7zoXYPFy18H559DwZJD6WD2dfy0OZ cKHu8UUU0NzjVQ8SeRg0tagjYCUFhhwq1tdV56ASW6fztzwFBk5clXSYy0Lz +j5DWSMKiLRsnppIzELdu559qccosNWcSg42zEJJ3eZtmywo4GyiH/nuZSZe GLDI7DlLAa6+1NqZ7W/xT8gh9c9XKMDZU70m3DENt72yaSt9TCF+z94ek1+W hr5LVCVtQimgtHNHS2F+Kg6WzLOHnlHgonrsM/p8CnZIxckxoynAUrohqvwq GQUtPPvk0iggmKrMK4FkfBU/bXfsLQUUNv9qNOEk4Y2tf866ZFPggoxh2I1d Seh2ZEmddwEFGJLSK8vqE/CWQPmtvi8UEIhsHTb3TMD9FJHmuHIKyIs/qmdK JeBy+eaEI98oUCHLXS/WFIf7HxnGu9VQoHz1C8lMwVi81fNkRqSFAnwrF8iN x19jZu927rE2CoCIS+SfuBi83MzQv0+mQJkAaa3O/leYvqxIH2kU+Dw+uKbD LRKHlu8+/JhBAavxibGAspe4xc3ktRmLAlNj/1pUVr1E34Dh/sUcCuwaW/X8 dt5z1Pf752bcT4Hm0XUeCvzPcei9eFLHAAWujcqdqD8egcJaQj8thyiQxdsl JjMejrVuAguqvylgxDs0/l0vHKtesxff41GgoftJWu+WMKQrmwnUjFLAoCtX 6cGVEGwZS2xWnaDA/V9fOeTlT1Dtd1iK4R9i/p2taVtyHmFE5Qpny0miX+hT Sj95QXiYX6Dq6DQFbtCW9m2KeIDq57Kst89QIIe6If3arkC0vX2UITRL9E/H tstf2+7juSPBZxoIK3WAspjXPXzlsars4RwFHCjH+xwlA9DJJ3LNnr8UOPTu u6nb9Tu4EN1+qpXwh6zBBtEPvuhDfRJ84R8FVDNXmX2YvIV0Yf90NuHkjF2N lvtv4pJSr0KreQpsSLc0m7t9A6tNDfKRsJLxVJzWnWv4g1kRI7lAgbWGEB8o 4IKJjjXX7QkLHQ6Orwt2xJp7+zTfEO7/Lw4UpWwxqmC2r5ZwzR110nuFE2i+ 52/QAGHz33737tuScP0qDbG/hCs9Qv482KEEc8vCQhYI71TR8zt8yxhYZZLj E4Q/xTz7Ip5/BjLuNRh0EnZrCrDVa7WHec8vwYWE/Vv32f49dhnuBUwUBhAO JfPOFda4wnuLR81ahBtd29Q/yl2HGbso2hCxHsureTli3R4Q2wfNTwn3XAtR d4/1gtr+t4WyhJ2uO+X8tPKBqB0CD1OJ+vBu6KurSPrBrNltw42EvT1lcx60 +UNT7LGpQKK+fAfnJUZrAqBD8+OLbmI/Kg8OnY5Xvg8fF/2VVSNsolVDnmMF gkiu3pLXxP6KahdJZOoFgdbBQfsvxP63aaecPpMUDLWnPmY3T1HAhhRA/nD+ MRzZZCDeRPSPrM5ViQtlT2BTLn3HJ6K/WDo2p1dvegqSrw7qRI5TwFVvH9mN FgZSdbBXgejHdfJiy0Jjw0FtO1uaTPSvr7yIKtv4GXhvtpz1GaGA9uZpl+eZ EZAUwAiNGqRAtULbwO/LL+HZQBpsZRPPI+OoBmWlSIi6cNz8MJMCYdfPFpxn RYL03nddZr0UOFPW49NoFw3B/Mbeu34R+205LJxr9RqUqt983k2cX1P/vCGO ZCykFqwn1zVToCDFo0maHAv71D57WTQS8xmdiQq1iIOuPpKZei0Fgg7/J/Yx NQEs75EDZJECxR2OQq2CiVDRWvV7VynR/1cMpkYuJEIqn9lvzRLi/hFL6Ury SXB7HX/asvcUkOwOS4qMS4YrcRc28lIpkOEdu8MrKg0unrB9nfaQArRl/psj JtOAk7Sp9X0gBZbHn1+bcyod1hSfL8oLoIB7lfwMWywDuv20g328KbB/zdvy U+FvYcljzuMjlylQm1VotudRNrR0y0+TdSjwVztK5zg3GyiL9Jndhyig3uK9 y+3IO5jUa47t2EuBiOmDkqlCOVDlJ/Dg1TYKWB+u6BK/nwuL00juVuso4HWt T9NXKx/iej342gbIsNxj8yDNOR8eXQ94p8MmQ6LX+fiDkflg8vPpxcRuMvy8 Q1nybyQfvJ31+Pa2kUEu5HvH3YQCUKt5pfC5lIhnpPs+WPQBonI67FSekEGe cbks/EcRLPZ2SM3bRIZidvKN0T9FEHx+eZ2jBBmO9XcrWch/hPDU5SeXrSKD N88yTOz2R1j8Ij92Ox8Z6ueP2EWqFcPPL0YO7b3t4L1hi0BsWAn8qbmfEJ3U DvUnuYfTT5UC13erpoRUOzDsJVXLH5SC93vbgzai7TB91UCUWlgKKSsnv0cs bgeFRyk0EYkv0MDWe9I81gZ+X+yuXSV/AbPl/Ucia9tATYkavccSYZHVATmd W21QNcf6Y6/2FQ65vDqqW9UK5vf9nK7qf4VqHccHySWtQBMWp/vafIWDsppT f961Am+tXvnzkK8ge008+mpkK2zUSHxcNfQVCtMjfXIvtYKn4zkZlXcVcDlC SP2mYCtsrm835G2rBJJuVZrWnhbQfW5lGXK4EpS2TQ+IbmkBB6tfF7ecq4T6 BxHFZKkWSGCz7tuFVMJEYZ3IAb4W2Dg/Xto0UAnrpdMN7WqbQWL7mh356VWw dhdJfYdNMwg/M11/Q+471H0wtJbwaoKhk9/7x8Vr4dK3LyqqS+tBe6PshGlk I4jXnTgU0lEJzUvdVp753gL7rMVTqGmFcCT1juWHcOJ7kJKAUfzSW6C3S0Ja 0KQDEjXHSW/WvUdDq+5xsi4dkmsUtr5Lr8Q1Mjb+7Yu7YDPN4YZgUAM+aqsI bF3TBQlukn+W5DYg32OVJ83SXaAfFSo2Q2nA3xOTUfWaXZDJOn8nWaURf9Y+ y6+61AVha7d5iv9sxCCv76zC6i7oqAmUSgxqwrn6ncaRQd0gomrZ34zNeKNM MET1vx5IyXxSd3dFG7oFJHIqH/aA9cKTacamNnTS1daxDe2BsFhZ+/3qbXi+ +tZk+KseoO0OjUHTNjRpGLCbzO2B3d8bkreHtaFiV9Oer509wL+Llvp0RTt2 /IvtPq3ZC/4CkvWlC+3YivsP8A72Qvq4EdNhJRkb7pFfPNLphVtlxu0zG8lY JSR6tNSkF8o1Ny3M7CdjwYr/Pshd6IXoUyQjHQ8yPtnk/GgorBdyyHJvaAwy amvt2XW/vxc8195RzCmkoPSqes+FkV6YOHsuRKSCgvM9jkV+E73wcEWg0OkG CmLgi/23FnqhZ+4ho4RDQdLPcXBdywCdUacd7yU6UNe6wOS0DgNerFM5b+3R gfLbjoa2GjDgwNTm8Xj/DhRY6G00N2HAI/MTl1oedeC3pNUnjC0ZcNQUY/kS OlB/wN2K5MaAmzEvVQLqOtDAZ/ulra8YsKHFNWdWmopKxt/T0+MYQJPANeIq VFy86Xy/QgqRz9Bhk9QuKn4vD3WVyWWAY18kedCAiobCIzfEqxjQdOlETrIb FY9GZd+d5zFA3KQt5MRHKm511v96e5IBfKKJS9TLqShysFNgZo4BAtFLB8Zr qFjXtSxofDET2vj3vNShUdFE6UoIdyMT7n+1M2fMUfFYocqrFkMmdFmYJykf pKEtt7un2pQJnmu0zx3Xo+HVDZFbPp9kQtn2CRt7YxqG3hMoTrZjguE5pYpd 1jRsOkYne3ozQf8C9XC8Dw17Ap5JO/szwcXCx2g6gIa890cunQtkgg2rHzUf 0nC11Ic/h8OZ4Lgk4/WFSBpacELEJTOYMNlaoeKbT0OH9Xo2y3KYIFp9tHvu Iw1vmMwkL7xnwt/1Gbscymj4vODiLi4yic9pE9POWhq2+WtblFCYcDryzPn/ GDRk5U+8eveLCSbqDBllLg0nWJm9iUwmCNvrvs0ZpuFaY8nrj38zIUB5JNNp moanJXlh1ktY0CQpdOvBcjpeOppGMVvBAuGap0/0V9PR646NjL4YC4aqBsI5 a+kYxazJUZNhgYV3MH+rNB0zJO5OyiqywJV3UXPTZjoWG+3RXqvKgrNap38b KdOxIzex/p8mC8g6xwOObqcjl2G5duwQC/aZfJKT3kXHmbUrz3F0WbCxeZTa qklHKT/foQZTFoyc1JBja9HR2vDEsoRLLOD6sJbGHqWj6+2lJ164soD2e8zu zjE6+uVgzMMbLFgZXD0G5nSMFVfbet2fWI+dzBmnU3TMPsK4fjGQBQPJOhP1 lnT84htdYvWYBQ5LL9iIn6VjV4+gkW4kC7wTA+X0bOk4IvY5XDOWyHeh10DV jo7zBtc7tiaxwNBpsmbcno4rfZVlZTIIt/56EnuBjjLvfl0WyyHGf37roXiR jho9z3OXfCDqo+LoGHqJjiSxo1NzJSzYKblKl3KZjuYGfMBDFly6nsJbcKKj nU9REKuKBeskJE4Ku9AxT4ys6FHHAmk/fVovYb6cP5X8zSywjR9ZFX+FGG+4 1jGczALZtzu7wJWO8Yzdi2Q6WTCfukW9kvCI38mkd70sWBzE4Kq60VFb0lPn UB8LEja6TnkRDs1/3lM7xII42TrdVMJdxu/vWo2xQENt4X0RYXVOizR3ilh/ Kf/uLML+AWNfvP6xoHRXddZ9wg1Sa84JLWKDYPt+QS3C0oU7/j4XZkNAjZ4S jch/1ez4a/mVbDBfXzVrRbis3/1AvhgbpgujXUqJ+a8MDKfCejacdn9uy0/4 nHSed4M0G0r//YdbiPVmFzdKnlNgQ9PkTq+dznT8a/G7aFCFDUkUhyvSRL1M hlee9t3OhoSFxuAhor6xwep/hPewISVf40MsUf8hOdMXUQfYwBLbQ1V3pOOh UrddSiQ2zG4P7k5yoGMnL/u6njEb+LbF7dQ4T0e1Jz9FW8zZIB4RbW50jugn xaFcu9Ns0C0xHtOzpuOGs6ojd+zZ8HiD4IVfp+noMnH06fLLbOj8s2KR30k6 fgp1UXvtyobyJmrN3HE6nv321qX4FlGfkDuX40zomHnux9Ijd9hQpKSy+qsR HWenuBnt94n1aGrfrzSgY4zalr6xp2yQ5QnbuJHoOFB9JOjeczZIXLN/uYbo /wP2lxVFX7FBYaXz3uj9dKS+TLuwLYUNERsfntbfScctGtUCpW/Z4O23OsVF nY7etezEo7ls8Pq1bc59Kx3XLSj0XP7EhpVG5Zc2ydPxjFOyTVITG7RFz0aO rSLOr8C3OQ0yG3oef3gusYyO07GMGKQT8Sv69PWLifPeLEft5LCh9lov98sc DckHEk5J/mPDmZoqax82DZXacSJVgAMGPlnCL7tp6HWt+/luYQ4Y1vdqh1Fp KJEi3XJcjAMhv6w40vU0PLXijWmICgf4yK0+GQXE80uYPv5sO+H9Aa4yWTQ8 Kbj+VdQeDgzJnVG7mkx47gUzSYcD4T8PRUU8J9wf4l1iRcRv9eaPXyfGs2o3 4XkOCP5TS1N0JuI9wt8qL3LA5Ma2q+p2hCmBK5quc6C4bHTu2zHCVX5JnEcc 6OjYHj+nRIwv/3RkKIwDnlShip6NRLx0emj0JQdYNfOlr9cQfu+5918ikd+M Vxrxj4onEl1/in3igOu/9VfvNVPR4o7NJGmAA/sWZCoPX6dii3fMawMeBxKe ng/2cSTinh0kk0kOiFcZK96zJHzl5BNLgT6oiUt1X6ZFxeNWJrJXpfqgcnkf Ci+mEr8rDx19fbQPAp33zzwK68AmDd/fCeZ9MPT4iMHQ3Q40Vyt+kXa6Dzrt pJ1k3Qlv3t2d79AHrupB6f/MCK9W86zxJa53W3zv4YoONBveEPcnsw/sgh16 K+5S8MP0ya3deX0gvoNf4bEbBdcJhhbVFPWB4+zLQXlrCjKk+BpfV/RBeM2S kJo9FPQyZC3o0PoghSqd2MMlY1xytn3oUi4knPjnu8WAjIty2cO3VnFBIemj /owGGZ0+SfvaryXiWz1evdpAxp3N4RG75biwPM7W0ZDXjtXznt9o+7gQePsi v3VUO45YaSkqO3FBvMbTaF9nG5646JUvepULapk65WPf2rDYPVdr1oML0WBQ 7pvVhveD5U7X3+UCV/QGbcynDSUKhYI9orhwJmF+4K54G2qJNnCxmgs91iF8 o9CKIdW22WcU+0Hw6aW7RteaUWM/f3jn1n5w3BQW9siiGduzkj3sNPph3aiD YsyeZpR+xj3gdLAflofhTbW5JsyzvvHj1vF+kG3i5K8JbMI23gNO5J1+yBB7 EfF6fSNu3PBOtr2dGL9tNuzOWC2WPzUTtKL3gzfrrXlhdi1e5Bvr6+zph+j6 IzrBl2oxh62Zyxrsh/D46tbpjh9IyivXmuAfgC1r/0tdXlKDjofbzoqpD0DG 1ZQ11RerMeva3IvjQQPQ42h9dvLaVwzQK/U3CRmAAFJFlqDEVzwpecfpSMQA NOnK/I34XI7zZfMHteIGwFzZ00tdqBzNVwowtxQNQELz33f5Cl9wIlt4Bx+H 8BKOr9eWj6g1sLY+5/Ag8N1qralrSsE1ZeSit8aDQJLedqZOKRk5z6ISUo4T 8fGr/1J9EzF8/3rPmHODENAV/LFxbywyHm7cEHSTiN/cbDex+ikGKW92PpdK ePvA2ssmT6DRUUNoudAQJDjeuFV7ugBY8WcNEkWGgKSkrFOo/R6maYHBmqJD UF56szxe+QPIHqcutd8wBAHnQtpu/i0Ed637K4t2EPGeKuHdBSUgKtEmaWc7 BHbWqha70svB4vutrR8+Evev8BwOSauBdhU0s3EZhmnJj+whmXZo8GTdar82 DB0uVe4XnNuhBpcmmN4chnXOY9Iy79vh06mTPFLAMEQHethdOkKGuHv94YqR w1C+lkHf60EBJ6pYy8jXYSh+0sDm76DC7EOnk/fWj0BA77f55ZQukOautkqr GYHlxY//jHew4MiLU8GRDSPQ9N/jI0UibHAnvSoMahuBvBnSROohNnyLll1z uWcEBF+F5K1IZIOT0fY65ekR2PIpeprPlQMFmSZab5V/g4mw0/hDES4cdguW yw76DdH9aj/zXAZB02d+4ow8Dyocyq8tnBuFAYH2vdKKPAiUyjlR7zsK8SFZ vkxlHjh55erlR42CcMIZvqvbeBAZqnTlc/MoUKsLlv23jwdpi+obqAZj4Cd+ Wf6dKQ/y2hVTDfaMQ0Vuoxn/bR60JLwtk978B0w5CZlvW3ngyvdTGvVnICYh yD2TTOSL+npd22UG+s66amZReaBfF2lOC5uBgMa9FdndPBjKzui5TJ+BguIG au4gDzKirCPoHrOw9slf4aJFo1C67/z97Zlz0Ln9zOWKXaOgkHF2T6faPDj7 rFKgPx+FDy/l7G9U85M8XQs3jRG2FQ03kv7OTwo4by259AUxXjx6Ty3h6MPp InsJy7M918n/4CfVrIbRCMIBjQ5LW+r4SUqZV8uOvhyFHLn10Tub+UkMWv2Z T5GjMH/rgPMknZ80Uu9h0Ux4ljxSmdTJT5otX2/CJay/VlvB7Bc/aXX6RZAg 6uh39t1wehc/ieTxT/EG4cqdTVlWvfykuGXbxlWiR0HaQ6P9C4eflDnfMkQi PF0T5eLSx08qGvXmWBIWfhuzSJLLT6qnVFIfEI7Y6UFy7+cn/U22Ke8lHBLp zpYf4icJRwl8miZ8ybkwqpGw+OOM96tejcLEhshjfsP8JFX3iTQtwj1HVSvb R/hJmhdiEk4SjuvsDrz/m5+ke5oUc4Vwp7eG0XYeP8nUiPP8PuF9Wzet7iT8 //7/CP///4//B0U+Uk8= "]]}}, AspectRatio->1, Axes->True, AxesLabel->{ FormBox["x", TraditionalForm], FormBox[ RowBox[{ SubscriptBox["P", "n"], "(", "x", ")"}], TraditionalForm]}, AxesOrigin->{0, 0}, PlotRange->{{-1.1, 1.1}, {-1.6774996598979774`, 2.2429368246225083`}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{{3.443929738796875*^9, 3.4439297510625*^9}, 3.443935146859375*^9}, FontSize->24] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Orthogonality and Normalization", "Subsection", FontSize->24], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"Integrate", "[", RowBox[{ RowBox[{ RowBox[{"LegendreP", "[", RowBox[{"m", ",", "x"}], "]"}], "*", RowBox[{"LegendreP", "[", RowBox[{"n", ",", "x"}], "]"}]}], ",", " ", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{"m", ",", "0", ",", "5"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"n", ",", "0", ",", "5"}], "}"}]}], "]"}], " ", "//", "MatrixForm"}]], "Input", FontSize->24], Cell[BoxData[ TagBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ {"2", "0", "0", "0", "0", "0"}, {"0", FractionBox["2", "3"], "0", "0", "0", "0"}, {"0", "0", FractionBox["2", "5"], "0", "0", "0"}, {"0", "0", "0", FractionBox["2", "7"], "0", "0"}, {"0", "0", "0", "0", FractionBox["2", "9"], "0"}, {"0", "0", "0", "0", "0", FractionBox["2", "11"]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], Function[BoxForm`e$, MatrixForm[BoxForm`e$]]]], "Output", CellChangeTimes->{3.443929762390625*^9, 3.443935150703125*^9}, FontSize->24] }, Open ]], Cell["\<\ Recompute in terms of w=Cos[\[CurlyPhi]]:\ \>", "Text", CellChangeTimes->{{3.44397175640625*^9, 3.4439717725625*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"Integrate", "[", RowBox[{ RowBox[{ RowBox[{"LegendreP", "[", RowBox[{"m", ",", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "]"}], "*", RowBox[{"LegendreP", "[", RowBox[{"n", ",", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "]"}]}], ",", " ", RowBox[{"{", RowBox[{"\[CurlyPhi]", ",", "0", ",", "\[Pi]"}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{"m", ",", "0", ",", "5"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"n", ",", "0", ",", "5"}], "}"}]}], "]"}], " ", "//", "MatrixForm"}]], "Input", CellChangeTimes->{{3.44393320003125*^9, 3.44393324471875*^9}}], Cell[BoxData[ TagBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ {"\[Pi]", "0", FractionBox["\[Pi]", "4"], "0", FractionBox[ RowBox[{"9", " ", "\[Pi]"}], "64"], "0"}, {"0", FractionBox["\[Pi]", "2"], "0", FractionBox[ RowBox[{"3", " ", "\[Pi]"}], "16"], "0", FractionBox[ RowBox[{"15", " ", "\[Pi]"}], "128"]}, { FractionBox["\[Pi]", "4"], "0", FractionBox[ RowBox[{"11", " ", "\[Pi]"}], "32"], "0", FractionBox[ RowBox[{"39", " ", "\[Pi]"}], "256"], "0"}, {"0", FractionBox[ RowBox[{"3", " ", "\[Pi]"}], "16"], "0", FractionBox[ RowBox[{"17", " ", "\[Pi]"}], "64"], "0", FractionBox[ RowBox[{"265", " ", "\[Pi]"}], "2048"]}, { FractionBox[ RowBox[{"9", " ", "\[Pi]"}], "64"], "0", FractionBox[ RowBox[{"39", " ", "\[Pi]"}], "256"], "0", FractionBox[ RowBox[{"1787", " ", "\[Pi]"}], "8192"], "0"}, {"0", FractionBox[ RowBox[{"15", " ", "\[Pi]"}], "128"], "0", FractionBox[ RowBox[{"265", " ", "\[Pi]"}], "2048"], "0", FractionBox[ RowBox[{"3047", " ", "\[Pi]"}], "16384"]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], Function[BoxForm`e$, MatrixForm[BoxForm`e$]]]], "Output", CellChangeTimes->{3.44393325428125*^9, 3.443935154390625*^9}] }, Open ]], Cell["\<\ Note the the result was not diagonal because the dw was not properly \ transformed to Sin[\[CurlyPhi]]d\[CurlyPhi]. Fix that and try again:\ \>", "Text", CellChangeTimes->{{3.443971817734375*^9, 3.443971869484375*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"Integrate", "[", RowBox[{ RowBox[{ RowBox[{"LegendreP", "[", RowBox[{"m", ",", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "]"}], "*", RowBox[{"LegendreP", "[", RowBox[{"n", ",", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "]"}], "*", RowBox[{"Sin", "[", "\[CurlyPhi]", "]"}]}], ",", " ", RowBox[{"{", RowBox[{"\[CurlyPhi]", ",", "0", ",", "\[Pi]"}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{"m", ",", "0", ",", "5"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"n", ",", "0", ",", "5"}], "}"}]}], "]"}], " ", "//", "MatrixForm"}]], "Input", CellChangeTimes->{{3.443933264375*^9, 3.443933270671875*^9}}], Cell[BoxData[ TagBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ {"2", "0", "0", "0", "0", "0"}, {"0", FractionBox["2", "3"], "0", "0", "0", "0"}, {"0", "0", FractionBox["2", "5"], "0", "0", "0"}, {"0", "0", "0", FractionBox["2", "7"], "0", "0"}, {"0", "0", "0", "0", FractionBox["2", "9"], "0"}, {"0", "0", "0", "0", "0", FractionBox["2", "11"]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], Function[BoxForm`e$, MatrixForm[BoxForm`e$]]]], "Output", CellChangeTimes->{3.443933273875*^9, 3.4439351604375*^9}] }, Open ]], Cell["\<\ So the Legendre Polynomials are orthogonal and the squared magnitude is \ 2/(2n+1).\ \>", "Text", FontSize->24] }, Open ]], Cell[CellGroupData[{ Cell["Basis for expressing nonhomogeneous boundary condition", "Subsection", FontSize->24], Cell["\<\ Construct the Legendre expansion for the function that is 0 on [0,\[Pi]/2) \ and 1 on (\[Pi]/2, \[Pi]] (so the nontrivial contribution to the integral \ occurs on (\[Pi]/2, \[Pi]] ).\ \>", "Text", FontSize->24], Cell[BoxData[ RowBox[{ RowBox[{"a", "[", "n_", "]"}], " ", ":=", " ", RowBox[{ RowBox[{"Integrate", "[", RowBox[{ RowBox[{"100", "*", RowBox[{"LegendreP", "[", RowBox[{"n", ",", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "]"}], "*", RowBox[{"Sin", "[", "\[CurlyPhi]", "]"}]}], ",", RowBox[{"{", RowBox[{"\[CurlyPhi]", ",", "0", ",", RowBox[{"Pi", "/", "2"}]}], "}"}]}], "]"}], "*", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"2", "n"}], "+", "1"}], ")"}], "/", "2"}]}]}]], "Input", CellChangeTimes->{{3.4439297244375*^9, 3.44392972884375*^9}, { 3.443930483890625*^9, 3.443930503421875*^9}, {3.4439361159375*^9, 3.4439361400625*^9}}, FontSize->24], Cell[BoxData[ RowBox[{ RowBox[{"coeffs", " ", "=", " ", RowBox[{"Table", "[", RowBox[{ RowBox[{"a", "[", "n", "]"}], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "30"}], "}"}]}], "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.4439353704375*^9, 3.443935402546875*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"fns", " ", "=", " ", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"r", "^", "n"}], "*", RowBox[{"LegendreP", "[", RowBox[{"n", ",", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "30"}], "}"}]}], "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.443935415046875*^9, 3.443935463953125*^9}, { 3.443935536375*^9, 3.4439355366875*^9}, {3.443935579765625*^9, 3.443935585125*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"coeffs", ".", "fns"}]], "Input", CellChangeTimes->{{3.443935688390625*^9, 3.443935704203125*^9}, 3.443935804109375*^9, {3.4439358395*^9, 3.443935840828125*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"75", " ", "r", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{ FractionBox["175", "8"], " ", SuperscriptBox["r", "3"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "3"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"5", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}]}], ")"}]}], "+", RowBox[{ FractionBox["275", "64"], " ", SuperscriptBox["r", "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"15", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"70", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"63", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}]}], ")"}]}], "-", RowBox[{ FractionBox["1", "1024"], RowBox[{"1875", " ", SuperscriptBox["r", "7"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "35"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"315", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"693", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"429", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}]}], ")"}]}]}], "+", RowBox[{ FractionBox["1", "16384"], RowBox[{"3325", " ", SuperscriptBox["r", "9"], " ", RowBox[{"(", RowBox[{ RowBox[{"315", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"4620", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"18018", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"25740", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"12155", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}]}], ")"}]}]}], "-", RowBox[{ FractionBox["1", "131072"], RowBox[{"12075", " ", SuperscriptBox["r", "11"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "693"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"15015", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"90090", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"218790", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "-", RowBox[{"230945", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "+", RowBox[{"88179", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}]}], ")"}]}]}], "+", RowBox[{ FractionBox["1", "1048576"], RowBox[{"22275", " ", SuperscriptBox["r", "13"], " ", RowBox[{"(", RowBox[{ RowBox[{"3003", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"90090", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"765765", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"2771340", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"4849845", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "-", RowBox[{"4056234", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "+", RowBox[{"1300075", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}]}], ")"}]}]}], "-", RowBox[{ FractionBox["1", "33554432"], RowBox[{"332475", " ", SuperscriptBox["r", "15"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "6435"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"255255", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"2909907", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"14549535", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "-", RowBox[{"37182145", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "+", RowBox[{"50702925", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "-", RowBox[{"35102025", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "+", RowBox[{"9694845", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}]}], ")"}]}]}], "+", RowBox[{ RowBox[{"(", RowBox[{"625625", " ", SuperscriptBox["r", "17"], " ", RowBox[{"(", RowBox[{ RowBox[{"109395", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"5542680", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"81477396", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"535422888", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"1859107250", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "-", RowBox[{"3650610600", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "+", RowBox[{"4071834900", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "-", RowBox[{"2404321560", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "+", RowBox[{"583401555", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}]}], ")"}]}], ")"}], "/", "1073741824"}], "-", RowBox[{ RowBox[{"(", RowBox[{"2370225", " ", SuperscriptBox["r", "19"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "230945"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"14549535", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"267711444", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"2230928700", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "-", RowBox[{"10039179150", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "+", RowBox[{"26466926850", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "-", RowBox[{"42075627300", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "+", RowBox[{"39671305740", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "-", RowBox[{"20419054425", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "+", RowBox[{"4418157975", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}]}], ")"}]}], ")"}], "/", "8589934592"}], "+", RowBox[{ RowBox[{"(", RowBox[{"4513925", " ", SuperscriptBox["r", "21"], " ", RowBox[{"(", RowBox[{ RowBox[{"969969", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"74364290", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"1673196525", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"17210021400", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"97045398450", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "-", RowBox[{"328189892940", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "+", RowBox[{"694247850450", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "-", RowBox[{"925663800600", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "+", RowBox[{"755505013725", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "-", RowBox[{"344616322050", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}], "+", RowBox[{"67282234305", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "21"]}]}], ")"}]}], ")"}], "/", "68719476736"}], "-", RowBox[{ RowBox[{"(", RowBox[{"34536775", " ", SuperscriptBox["r", "23"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "2028117"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"185910725", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"5019589575", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"62386327575", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "-", RowBox[{"429772478850", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "+", RowBox[{"1805044411170", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "-", RowBox[{"4859734953150", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "+", RowBox[{"8562390155550", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "-", RowBox[{"9821565178425", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "+", RowBox[{"7064634602025", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}], "-", RowBox[{"2893136075115", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "21"]}], "+", RowBox[{"514589420475", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "23"]}]}], ")"}]}], ")"}], "/", "1099511627776"}], "+", RowBox[{ RowBox[{"(", RowBox[{"66303825", " ", SuperscriptBox["r", "25"], " ", RowBox[{"(", RowBox[{ RowBox[{"16900975", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"1825305300", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"58227239070", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"859544957700", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"7091245901025", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "-", RowBox[{"36100888223400", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "+", RowBox[{"119873462177700", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "-", RowBox[{"267146572853160", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "+", RowBox[{"402684172315425", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "-", RowBox[{"405039050516100", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}], "+", RowBox[{"260382246760350", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "21"]}], "-", RowBox[{"96742811049300", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "23"]}], "+", RowBox[{"15801325804719", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "25"]}]}], ")"}]}], ")"}], "/", "17592186044416"}], "-", RowBox[{ RowBox[{"(", RowBox[{"255371875", " ", SuperscriptBox["r", "27"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "35102025"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"4411154475", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"164094946470", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"2836498360410", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "-", RowBox[{"27577067392875", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "+", RowBox[{"166966608033225", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "-", RowBox[{"667866432132900", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "+", RowBox[{"1825501581163260", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "-", RowBox[{"3463083881912655", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "+", RowBox[{"4556689318306125", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}], "-", RowBox[{"4079321865912150", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "21"]}], "+", RowBox[{"2370198870707850", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "23"]}], "-", RowBox[{"805867616040669", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "25"]}], "+", RowBox[{"121683714103007", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "27"]}]}], ")"}]}], ")"}], "/", "140737488355328"}], "+", RowBox[{ RowBox[{"(", RowBox[{"493099875", " ", SuperscriptBox["r", "29"], " ", RowBox[{"(", RowBox[{ RowBox[{"145422675", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"21037813650", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"902522205585", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"18050444111700", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"204070298707275", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "-", RowBox[{"1447043936287950", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "+", RowBox[{"6845630929362225", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "-", RowBox[{"22427590854291480", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "+", RowBox[{"51946258228689825", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "-", RowBox[{"85665759184155150", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}], "+", RowBox[{"99943385714847675", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "21"]}], "-", RowBox[{"80586761604066900", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "23"]}], "+", RowBox[{"42710983650155457", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "25"]}], "-", RowBox[{"13385208551330770", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "27"]}], "+", RowBox[{"1879204156221315", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "29"]}]}], ")"}]}], ")"}], "/", "1125899906842624"}]}]], "Output", CellChangeTimes->{3.443969064265625*^9}] }, Closed]], Cell["\<\ Note that the mess below was not entered by hand. The first line was typed \ into the preceding output cell to create the input cell.\ \>", "Text", CellChangeTimes->{{3.4439719171875*^9, 3.44397195384375*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"soln", "[", RowBox[{"r_", ",", " ", "\[CurlyPhi]_"}], "]"}], " ", ":=", RowBox[{ RowBox[{"75", " ", "r", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{ FractionBox["175", "8"], " ", SuperscriptBox["r", "3"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "3"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"5", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}]}], ")"}]}], "+", RowBox[{ FractionBox["275", "64"], " ", SuperscriptBox["r", "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"15", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"70", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"63", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}]}], ")"}]}], "-", RowBox[{ FractionBox["1", "1024"], RowBox[{"1875", " ", SuperscriptBox["r", "7"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "35"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"315", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"693", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"429", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}]}], ")"}]}]}], "+", RowBox[{ FractionBox["1", "16384"], RowBox[{"3325", " ", SuperscriptBox["r", "9"], " ", RowBox[{"(", RowBox[{ RowBox[{"315", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"4620", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"18018", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"25740", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"12155", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}]}], ")"}]}]}], "-", RowBox[{ FractionBox["1", "131072"], RowBox[{"12075", " ", SuperscriptBox["r", "11"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "693"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"15015", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"90090", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"218790", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "-", RowBox[{"230945", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "+", RowBox[{"88179", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}]}], ")"}]}]}], "+", RowBox[{ FractionBox["1", "1048576"], RowBox[{"22275", " ", SuperscriptBox["r", "13"], " ", RowBox[{"(", RowBox[{ RowBox[{"3003", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"90090", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"765765", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"2771340", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"4849845", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "-", RowBox[{"4056234", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "+", RowBox[{"1300075", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}]}], ")"}]}]}], "-", RowBox[{ FractionBox["1", "33554432"], RowBox[{"332475", " ", SuperscriptBox["r", "15"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "6435"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"255255", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"2909907", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"14549535", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "-", RowBox[{"37182145", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "+", RowBox[{"50702925", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "-", RowBox[{"35102025", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "+", RowBox[{"9694845", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}]}], ")"}]}]}], "+", RowBox[{ FractionBox["1", "1073741824"], RowBox[{"625625", " ", SuperscriptBox["r", "17"], " ", RowBox[{"(", RowBox[{ RowBox[{"109395", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"5542680", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"81477396", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"535422888", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"1859107250", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "-", RowBox[{"3650610600", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "+", RowBox[{"4071834900", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "-", RowBox[{"2404321560", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "+", RowBox[{"583401555", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}]}], ")"}]}]}], "-", RowBox[{ FractionBox["1", "8589934592"], RowBox[{"2370225", " ", SuperscriptBox["r", "19"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "230945"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"14549535", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"267711444", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"2230928700", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "-", RowBox[{"10039179150", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "+", RowBox[{"26466926850", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "-", RowBox[{"42075627300", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "+", RowBox[{"39671305740", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "-", RowBox[{"20419054425", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "+", RowBox[{"4418157975", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}]}], ")"}]}]}], "+", RowBox[{ FractionBox["1", "68719476736"], RowBox[{"4513925", " ", SuperscriptBox["r", "21"], " ", RowBox[{"(", RowBox[{ RowBox[{"969969", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"74364290", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"1673196525", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"17210021400", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"97045398450", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "-", RowBox[{"328189892940", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "+", RowBox[{"694247850450", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "-", RowBox[{"925663800600", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "+", RowBox[{"755505013725", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "-", RowBox[{"344616322050", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}], "+", RowBox[{"67282234305", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "21"]}]}], ")"}]}]}], "-", RowBox[{ FractionBox["1", "1099511627776"], RowBox[{"34536775", " ", SuperscriptBox["r", "23"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "2028117"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"185910725", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"5019589575", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"62386327575", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "-", RowBox[{"429772478850", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "+", RowBox[{"1805044411170", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "-", RowBox[{"4859734953150", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "+", RowBox[{"8562390155550", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "-", RowBox[{"9821565178425", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "+", RowBox[{"7064634602025", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}], "-", RowBox[{"2893136075115", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "21"]}], "+", RowBox[{"514589420475", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "23"]}]}], ")"}]}]}], "+", RowBox[{ FractionBox["1", "17592186044416"], RowBox[{"66303825", " ", SuperscriptBox["r", "25"], " ", RowBox[{"(", RowBox[{ RowBox[{"16900975", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"1825305300", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"58227239070", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"859544957700", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"7091245901025", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "-", RowBox[{"36100888223400", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "+", RowBox[{"119873462177700", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "-", RowBox[{"267146572853160", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "+", RowBox[{"402684172315425", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "-", RowBox[{"405039050516100", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}], "+", RowBox[{"260382246760350", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "21"]}], "-", RowBox[{"96742811049300", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "23"]}], "+", RowBox[{"15801325804719", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "25"]}]}], ")"}]}]}], "-", RowBox[{ RowBox[{"(", RowBox[{"255371875", " ", SuperscriptBox["r", "27"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "35102025"}], " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "+", RowBox[{"4411154475", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "-", RowBox[{"164094946470", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "+", RowBox[{"2836498360410", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "-", RowBox[{"27577067392875", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "+", RowBox[{"166966608033225", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "-", RowBox[{"667866432132900", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "+", RowBox[{"1825501581163260", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "-", RowBox[{"3463083881912655", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "+", RowBox[{"4556689318306125", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}], "-", RowBox[{"4079321865912150", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "21"]}], "+", RowBox[{"2370198870707850", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "23"]}], "-", RowBox[{"805867616040669", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "25"]}], "+", RowBox[{"121683714103007", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "27"]}]}], ")"}]}], ")"}], "/", "140737488355328"}], "+", RowBox[{ RowBox[{"(", RowBox[{"493099875", " ", SuperscriptBox["r", "29"], " ", RowBox[{"(", RowBox[{ RowBox[{"145422675", " ", RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}]}], "-", RowBox[{"21037813650", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "3"]}], "+", RowBox[{"902522205585", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "5"]}], "-", RowBox[{"18050444111700", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "7"]}], "+", RowBox[{"204070298707275", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "9"]}], "-", RowBox[{"1447043936287950", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "11"]}], "+", RowBox[{"6845630929362225", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "13"]}], "-", RowBox[{"22427590854291480", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "15"]}], "+", RowBox[{"51946258228689825", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "17"]}], "-", RowBox[{"85665759184155150", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "19"]}], "+", RowBox[{"99943385714847675", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "21"]}], "-", RowBox[{"80586761604066900", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "23"]}], "+", RowBox[{"42710983650155457", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "25"]}], "-", RowBox[{"13385208551330770", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "27"]}], "+", RowBox[{"1879204156221315", " ", SuperscriptBox[ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], "29"]}]}], ")"}]}], ")"}], "/", "1125899906842624"}]}]}]], "Input", CellChangeTimes->{{3.44393617084375*^9, 3.443936193234375*^9}}], Cell["\<\ Does the solution evaluated on the boundary provide a good approximation of \ the specified boundary conditions?\ \>", "Text", CellChangeTimes->{{3.44397196784375*^9, 3.44397200825*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"soln", " ", "[", RowBox[{"1", ",", "\[CurlyPhi]"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"\[CurlyPhi]", ",", "0", ",", "Pi"}], "}"}], ",", " ", RowBox[{"PlotStyle", " ", "\[Rule]", " ", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.44393051934375*^9, 3.443930526875*^9}, 3.443935490625*^9, {3.443935630015625*^9, 3.443935671703125*^9}, { 3.4439357093125*^9, 3.44393571265625*^9}, {3.443935892546875*^9, 3.4439359045625*^9}}, FontSize->24], Cell[BoxData[ GraphicsBox[{{}, {}, {Hue[0.67, 0.6, 0.6], AbsoluteThickness[3], LineBox[CompressedData[" 1:eJwcWnk4lO/3VoRE2SpkSwvZk2zReQjzzhgqRFlCeyJLlhaKEpKEIilZPkgh S2VJMllKkiX7ln3fxzIM5fd8f3913de873Puc57znvs+rnaecTE9v56FhaWc g4Xlf/+ylnDV9B90O2xT98In8iUV7Rn9ckj8yVHYLwXKdhgzs5XOtUXawTJD 8GvFCyrKWYQmvncX4YujlfP3WCoaFLy0lBfpAkn+Vh4Oz6koVLiS513RNbjq Mn7v2TMqSpWxiWd55w26lquPL0RREU19Rtks4RZcKKB71EdSUbthQGlK5B1Y UQvlb32M48lyy/qU+kN9odOLm6FUFKTS7J5SdA9q5xyTCoKpSFAroajmw33o fB3262kAFSXqOrItZQaBIruW/2Y/KlIkqxrvfP0ACq6vRu+9RUVFx/5FURIe QsCWBKs/nlTUZBcpHRf5GDx4j0kpOuJ8Dihq9FeEA/+cQVnlWSryVn/S6V0a AUNXU1g5bamIDWz3JBY9gZ12gXNuJlRUpVf642DBU4i+u2iSYEhFEYbSV6s+ RMEmM6cRr8NUJG4ymzeX+QzUXxfz71SgooHjFtbBb2Pgg9/YKGMXFaWfKFoT ff0c5MmZm31EqEjD9j5hmPACok3v8D1lpyJTJ+H2mMh4CLMQOK3YYYS4NaAk mpQAP79kzCTUGqGZQje+3ooEENdlu15TZoTyips/epYmgmkoSelsuhE6UpHw 71XRf+Dv2/Us09sI2Taqhs9mvobsiu03k9iNUATd5n10ZBbYXjzMb72Zgh5t jdWm8WTDVNBttQN/yeh3zn2Jg6bZsNpPqeCbICPrMZtB8Y5s0FtdFzv1g4yu Wm9yo0/kgEqNyaxfIBm9ZyyaXdyfC3rdcS39nmS09KRPrdMzF2pyingunCcj /+rC1Yp/uRDFLR79W5+MnupcCn7O+wF+Wh7MfrGBjNrazK5sPvEBcj8rvTJY JJC4F5jce/4Bvq5LVds9TKDX77YJOkt9BE8nU+6HPwj0SaIiHqnmwZEMUc4j EQT6V5R99+P1PEjVWf+57R6Bjpx8eV62OA8owS5qBV4Eqg6/JidomA/eh85e t7AlUPc6qfxhywKwfEbeRSgSaPcrnliblwXgp/Lc6cQuAl3SWvap7ymAfSJ+ 8QVCBKK71+kVXS6Et4EDG0LYCKS25fMe5XeFYOIa0b3MJKFb6a85U+iFQNff LvFtloTYBm7XhN36BLOFKPR6DwmR/RxzWGmfoLjgRr19KwmFiVo8vc5WBNk1 Z6Pe1JHQ7wJd70miCOSsz+41+0FC208oWJ15VAQe11/w2pWSkM2skE5LfRFU FwsI1RSRUMIjNknqts9wW0izLuEjCcl+6xg8GP8ZFr8w7d3ekpDLme+Vb/s/ A8/JQGe3FBL68C83XUKmGN5K+pY1JZDQUuyrsKdOxeDg3ZAV/5KEdNRD3Dbm FMM27aQDtTEkdLfB0/z2QjEUPl5qOBtFQt9cHNTnNL+ADv/aR9tIEtrEbSxy 6fYX0Ng6XPr5MQkdS9P421n6Bb6u7K/ze0RCUfq7e45zlMApSWGnNw9JqL1n S9k3oxKwNpMMUgshIXHflZRD4SVQbl3Qt/cBCZ0VHg7ObiyBy8czO24Gk1Cj 1ejHSG4aJJ6QEt2P8aKMnfQvRRqkuYm1EhgLMRpjOI7T4K1oT1gpxocqKFx6 12jQFpRQ8AKfx9uYWqv+hAa1nnfef8bxBvrWRym8p8Hxsk+DSqEkVDh72mpX Aw3kLRVezmG+YSxFEsJzNNjR2RDCGY75bNk+uFngK2g8Ei1ywvlqiF97y3bg K4ztmdUXx/XgUah1YZp+BYOQ1+/EcL36DskdnHH/Ch2v/dkuvyChfEoQczDy K3z42jH37xUJhZ7qL+nI/QrW88Oyf5JI6KD3C8p3+lf4KRl7yiOdhLgCGVuK +Ush2Ib7vXQ2Cf15ataUq1IKDTbHbSXw/QbnbrJ/5V4K5k+zvBpLSMj268U9 TyNLgTvlS3BYBQmp1JWNPcgthapduoaBP0moc/KWpye9FLobzq2Twf2mtG8i hOpeBpIBS56s87g/NYhjepFlkMS1HHBzhYRaDZO3auSWgXNFKpckK4HunrNJ 2EUvg8cNU+p0fgI1x1d/ZLqVg8DL+dLrqgRKfydzayaiHD5KVWWo6BDIrzgA DeWUw1MXwofbkED7OrR/1s+Wg79jidDWkwTy2ZbZk+ZWAXppq9uRL4F2PXq0 ydLtG1yoZSbsriLQ0ovROmrENxhJTltoaMDf61uDaL2cb1CjKaZxt4tAXpV/ JRVnv8GD+HjJ6hkCVbFeVdvg9h10BjMVBreRketNE4f3rpXQVWD41tmOjChX tdM4wythufbkwZaLZLTrjOy0bVYl9LJwZkq6klEzmd2Xc6oSZhVcx4z8yEhH +EuM7ZUfcDD9Vm7bKzLaxpPRnRvyA3QqTgttSyWjGZbYvZxvf4BFwH3FvZlk lDzi+SF3BD+/M1ey+BMZcRUo1HFcqAKROLnupAYyGkjfsd32fhWI8dcfsGkj oy/xG0/nJlcB17am5e4/ZOQWNDhu018Ff99pftcfxXxvNajkrv8J6etXbHZN kdFul683OKR+gqmtk8APOhm1WsRx5Nr/hMTb7BMXV8gol/LQhMPvJ0gxqAZ2 a2T08PCNKJv4n2AZYrljBysFnVO52Jnz5SeciP4YGMtOQYf3ntjF8ecnXJWy SOraSEFCIkccbf7+hDZVV+kBbgqi8+zPyRGthlMHJ19mbKGg6nUSS+za1fDr 4Nd9GvwUlLLADTbW1TDbutMnQJCCbo8y7+fcrIapcsL+yTYKOtk1Us0eWw0N h90ZZ4QoSKW+WcCmsBrW1z66Ni9MQdwV5VY5rdVQyCgC0g4KGirITWRfqoZh w+RqK1EKKslIGLHe/guO/ihqUhKjoJiEMKUctV9QrP2hsQJj96c+XuwWv8Bw Q8GUmDgFUYMdi609f0FDnedvNYz3+pxky3n6C9JH2l7yYcziamjE/uEXHLC+ 4PAOv992VjXSuuEXHKp5fpgH41xLqbZs+i/4THcVVcLxQ414Jdn5a8Dy4I4B AczvAvy7YL2/Bhris9eKMH90YCIz+1gNFFp1VEjj/ESk2+c3uNZAsJSF4imc /5xI5SHrxzVwaCrM1wTXp3pz3t3sdzXwy2rOgQvXL3V98o8NNTVwoG3UPBTX 128xgtd6sgYuei4ZNeH6W43dsczmroWNZUnHhvD98Py2HrQyqoWQ5KTRs/g+ hyrI8tmOtcDZLdtdj++bVqh+bUNILSRKNFE3rZKRR6LAuuzKWjD3faA1MEdG JlHriA0jtSBWOXQmcBrrbbk3KZO1DlS4tmYxxsjIueB82PpddUBpno0z7iVj v3Rccp1qHbCfqjpT3oH7vU07d02/DuSOdv/H0YzPXxFoXr1QB8tlKIWJ9f/m 4VIxxts60HlW+F9pFhlp12ZmLRTVgbT2OdeaNDL6a/dcd766Dr6t1Dh9TCQj P3/X87NTdVDbG9kq/ISMAsvFM8dV6sGZ/dTjGx5kRJzggrEj9WA75dQW4URG G4cW6kbM6+FSyDWJqHNkFMrxa37Qqx5Wp0+YnTUnoyeUW9o9n+ohIyFju80B Mkqoa/nZqPcbkvUEQqPwfDjjUGbbYPYbJCz5vMxH8Lyhv5uuP/cbgs5YVEv0 EChVIFCgNvA33Jsp39FfS6BMC1XrH1W/weqoYoZZNoGuDktMfu/4Df8e5ytm pBFI+fqmO98mfsPr1PdHJBMJ9OF5X1LZ5gbY+cFxy9lI7Ec6w8eKTRvghI+d bQD2Gz7OPj6fzzbA0qPFP+MuBNL5d3FzkUcDbAyY2u57mUA0CVApiG4AvQD/ 4p3Yj9zNli3Pe90AMvu14tQtCaSvu83iY0EDXA+VHvc5TqDvZyZv5LY3gKzh 34rneL4Gz7VuyhlvAMcl8ZMeugSiBJTHZa02gJr93NJdbQLVpLz4miHeCGwJ t3+iAwQKVwsyS1dqhBbJtzp07HeOf3cffIMaISk4t6ZDlkCNI+SNr880wsPy 6lEr7H+mn8sY3HNvBM16/0FZSQJxGXH4291thEfT00mKYgTaszr4+VBkI+Q9 2uJ+QYRAKLN8aXtSI9ycvcTRsJ1A1qf/U53PaQT/bDUDz614fm+561r3Fceb WsukCmA+NPuMjPpGiNHz0bTiw3riBiPBvY0g/ll+IW4Lgb5Jie8+P9sIkmvd 2UKbCdTTsGqnu64JAi9KvPvBTaCVgI4XYnxNeAlJfZSziUDb1D61LEs2gUTR QE8dF4H2D8cINCs3we66sLW9GFNjvI/moiYoVHN0/rCRQBfJFg/DjjVBfRL1 5A2M7zJVvzvaN8G9k/HdHhjHpQuwklybIMtNI+k1xgU29MO7/JogVfxzDS8+ 7zdP/c21x01wWjmbNwfjyS9ZeR3xTVD8jxYQhPlwuobR87OaoCvKePAJ5iu1 01nxaUkTHG4v2NLMg/vht5Gja20T1EX53TDG+Z68J5tK7W4CT8O2zmVeAl1T 3dgnM90EPYd46e1Yf8MGh8U2rDUBfDN8Mi1IoDfR3071bm4G1YT+aHVc73JS SlSxeDPQldIP5wpjf7t0r/65YjMUJ20TsBMlEPPNGR6vw82g+c/oiI4EgZS4 Je8rnm4G7uKuhpA9uH8wca6rzVD06lHpkgyBzl3tWh3ybYZjg5q1T+UJFFsX 6xEf1wz7Q49tM8f6/9H/RvatzGZ4UHrhjKcGgepUTk5YFjfDupMDCl9x/7FH bT3H29UMz8eahxoMCLTTcD5+YqIZ1EM1/sZQCKTN+N1RuYr5s1/dHnCUQG6n ws38RVugX8yau/IUgTrFNh2hW7eAXMncs0H8/TBqRm/XXGmBQGJ64ydPAvH7 VX56e6sF/sT9fPP2FoGIvvsqZ1+0QF/ryKv2IAK9T2WRamxvAWpI5uJR/L2G KC2y5J1qhT+pz+YMWgh005ssN+TYCqwq4psr/hDocsnLE9t8WuFiUaQleQif d/TIW69XrWCVpCFutUAgDpdwM/X+VrjPlUc+L0BGi3n9vhfnW0Fov7JoqwgZ Df1TS3u2oQ1MXinnIiky+hbWtcqQbgMWfgGjcWUyCngnm1rg1AYb8syH3Y3x PF30rRvxbYPHe6iEHZ5nZw/XM4Uet8FTUuaoijUZ6dV4H72R0wYCHx9wBF8i o3VT5Uuai21wKWrH1Gd/PJ8PCu1y5GiHE1nmUu+DyKjH94pxrFA7hNueI997 hPWBhz+JqdUOHmMsNhkxZHRbwc6o6E47TAg9FFzJwPubZ67neHg7sFgYdbzI ISPb4g0JO5Lawd7VLZw7D89z44z5W+Xt8NNsd+vJL2QkH7UmntHUDuWe4ndV SslItMuU3DnUDtL7Ob+1VJDRitNynPbGDgi+Pm5+t5qMxj5QK51EOmDjeFP1 /Voyal+Np7+U6wChks9Lx3+TUZX+nOgv7Q7Ibh1bGGwko0+hhqS/xvh5lb8O ui1k9LbxuZuCXQesDtY+Pov903PRyRe2rh0QYFDPT8X6FHwOfXvk3wEFITec mZ1kdD3jyUxxZAe8ipp3u4r91aX5IZGp/zqAGZ3++HU3GVlqaxmIf+wA/ty4 7pQeMjIMeORi8q0D9EccSi9h/VOr7nl+u6UDquUtAmcw3iuoWv5upAOUhm+P aPeR0VaboKk/yx1gKlzWaowxW3K70JZNndAg9+HNLoznxxWOgGgnvH3gIvEF vz9wwN/ZRaET3mlPxohh3HCr8Vn84U4YmP1uoofjl5ZJl9Ye7YS7Pjfi5DG/ 3E23JtbsO8Fzk0FaZxcZJZnVbFN274SvXbTdZji/yBc7de3vdQKRcp4Ibyej u/0eV8Kf4vOC+D4+bcV+Uq4yipbSCSUD+lscsF4PnB/wS8jrhNsbN8auw/W1 SGBx8vuO+bAY2jnXk1Flu6ilfWsnfBLSYUmpISOtrZp6aLQTYs6t6bz5SUYZ R08oSDI7gdHqzXGrkozEQ9yEWDZ1QdGRJboIvu/1a2+mSuS74L+I22d+FON+ 1vzWFq/TBQW7tAbbCvH3cK2v/I5JF5xIzHP6/BHf94jIC3DtgpGtDqdXcf9F /n5IKnnfBZc6tV4EP8f15ElTiS/vgtk4v0bKUzLyIpWL3WnqgvZGfY7RMDKy +rw6d5jRBdEeA/Ff7pGRVKpzwhetPzAfvrjCuILrd+PocvHXP1DiGf39nzr2 zx+uDMT9/gMtis7OB/eTUfRUUK1v/x+Qe5Ap5iCL/ctZWorOhm6Y2B5U/koU f2/G+02LiW6Q3Owx2s+C70tSIP1zbTfUSuQkC+P9xNBaKfplTze823Z2wq0M 60GUkb/PbDek9lxrbv9MIJMNpXKvNvaA0XA062AWgVRuMtedluuBZnblbI5n BLryLJjx60AP0A+Wp/FFECj5w7ZJHe0eMPOc+KTxEOvXtEqrmHEPqAc78Azc wfP67JV3XVd7YOvNGzebHAlkzzd3/bNXD5g+Or1d7wKBKr7cPPLidg9YrqSh egesp8IhrSfDemCGzW7KCs/PxW98/6lH94C7BVnV8gSBbDyeO2971QNalmFR N7CfkK5NW9+Y2QMtxa83qeJ5HOqj/Cv3Yw/wvd768hf2F/R9Bc8iintg//bH J8OPYH1qgTOuFT1QveT/1wcR6EvAd/mjv3rghXmD3FO8/+1WOcpQaOoBIRuJ wGYtAj3obv7K3dUDxdwLD/WxPphrDVlUTfRA7vU/synYj3wadt75Zr4H/oub NYzdTyCJqIXxoFVcn3Il1c9KBArQ8827wNYLcgYc+7mxXxmbZvM34O6FqbPW d0KwHh2LCzXaLdgL/Y19wepyBMqjCG5jFe2FG7J6/gLYz4guvejp3dULjTe8 34rvI5B/yq50mlwvBD+ny5zC+jZkmu4Zf6AXLghRZMqksT9gOYBuH+oFi3dP y20wzs38xGV7pBdGq0aE9mIsZK3XdMioF/6l7OKUwPg2Z1W8iFkvaCSc+0jC uP/jccdlq16wMbNbl4AxcbZNtfVML7QK7mqXxvHe8Tqs5Tn2QoPUY8FujAW/ jPyIcu8F4VDOuxWY340rrk89bvbCqtq7hXbM/4/Q0mmzu71w/oeqtATOV//b nX0qIb3g2DhTF6FAoLfXOOZ5IzFfC65HKrhevDsff5l+3gt/pPq51uF6etVs e1CT2Avy74j+VRUCddx6ZZb5Bter4NXLPQexX9u3Vzw0pxeeMuRzb6pjP9yc OeJY2AvbCrxSVjQJ5L6/2FfmRy/4a1YP3QYCtf7RJzjqe6HEkj5xRw/7l9Bq /qFW/PxCkMNbrO+cwx2v/xvphVqOY6HXqdg/Pz3rfnemFz5V+VaKHCNQg+64 tsNSL4xfHXPpNyPQq5fMenHOPpBQuntxwJpAB02FV59L94Ehs6bmoTP2G2sJ 364r9cHmL+VNJHcCsWTKRFiq90GzBHuulDeBqjk09m4l9cG9qyhc2R/7/WKL Y+EX+qC1TMH3UTT+/vKE+IVd+sBXd7Nu7EsCrc9qb0j07oP3jDIzWhKBkhJO W74P7gPl9WuLx/H32nfvwunmt33wIet9le0PfB7Fy0l0ug+8M1x1X6zh845o KKYw+uCNbEOcBzuef9rMaQWWftDgPr+ZyoPntcLta8DXD43JrvxT2A/08Qbe PHOgH+7G2fDUHCSjMy1RwWne/RC7j87uh/Vcpc6Sst+vH8Sf7Zh1uorP+yHM /Sm4H9ivjxzWwftQ0qe4xz+f4/Oktdjv3iEj9/d2x82T+uFoWXziXACeVxk7 Bbre9oN1f3KNXgiOF5cSPVXUDx0/twd74PmZG33xpHd5Pwie4nQ3x/P17uN9 Iiy/+iGo3Ocj9ys8P/0z4/j+9IN/jkPAutdkRL/hYhc71A/dg0c/HUrH+uS+ f+euafz+VbtMMt7vzpz7mKzKMgCG7/4WdmJ/oGLrfaGYcwDCVVj/2H3C/C00 ZQz5BkA7XLc5F+vBb5OV0RrhAZioXlfbSMP5kIrTLaUGgK5Nmi8vw/mgO849 sgOwxh4QcPcbzkdTV+nygQH4dFKrihvvl/wqrLOzhwag5YfXrrNYj/pkK3Jv 6g+ARLP6eMAvnN+uIA9W4wGI+S//uRv2F3dFyWqhJwZg98auDBmsb6ZbNy0J nh6AmZWlD2+w35Da/Ksw7sIArBvQpcw34HzZH9/a6zIAWYMcwpxNON+1YzpZ 3gPAsc7w9wDGkUv8a+p+A2BqfP1QCNbTs7ONNFowjvcnVmEJY/ub4ZYF4QOw f9EgTR77FRtW6lRWzADw3XeNU8b4VCjH/dcJAyBUWiTAhrHF1rId8WkDYLWh duNr/L7pq9u50dkD4Fo0FSOM8VFpLXJYwQAcrdnYYY3jU7MXuu/TBkBfz4nh jPWb0Mzx8q0cABOh3XuPYf4GpU48nnUD8MzULX49zk/PSCbZqRXH75p8d7+O jA439mud6xmAG3UZr9uwvh+yja+3HsH348nT9w/7M40hq0tmMwPwz8avZqGK jFRdtq1RlgbAMqu+5QvWe0X/R/JanIPA9f6vwQ98X7Jc5LL9vINwMWu8bNNX MpJ+wma1T2gQ7hQFPZDC/lAy5VaQkMwgaJU/f1GbT0ZiiurivMqD4Cew3eji BzISyad/4NAYhM8WhnzN2WQk8ONy3yJpEFZIDgLab8iI13TPjamjgxBDfvZP NYWMuDt6tgxZDgK5JsiWM5GM2CctdZouDkKSXJaiHvazS7yGMe+DBsF171k2 8fvYfz1fp5T+eBCGiuxk2f3IaFaquCLp2SBsOZ3BVn8T+1FV1bmI14Mwa+dw U8CVjLpOSpm4fsd86i0ozqfw/Sf8Y1XgGII7zn0bo2TIKFQ53yU1cAioafw7 nEoJVKXSMuQZNgTOAeu1rbHecx5k2BpED8FO23MGJ/OwXmmqUwdShkDOJVvV /y2Bbunly0hVDEHTVhmd3CfYL+i3xM9WD8Hcj/WHVMOwPhsytn1tHIL+9+N7 aoLxvDVS32A/MAR5sWqXTW4TyNE8vzeOdRjOL8TrJGD9T7NoOem8aRjqz1wj r8P6P3SSUastMAz78rm57mH9d7BV/9IhNQz6TaXhEyfxfLWzPJguOwy14cI6 zeZ4n3LwzripMgzdYTrnBvA8PnkhP1ZYbxi+RYS+cCMTKPpSC98oeRju2u8+ TsfzvNGREVxwfBj6plnqY/G8P+ai7m3pMAyXR3t3XMD7XZib5dTey8N4//hl HIL1ovqa9/lF12H4lyrH06ZGINL1fLMoPxz/zHjyEtajgJstVeeCh0Gc0htV hfWq1Iehqxo+DJINlUd/YD1jubO9kDVmGD6HPzBcwHp+2F9duSF+GD5K+w6b YD30uWf5Ouk15vtKPboZ6+en+97i7lnD0GQukRGK9XYp6FmUbv4wqF0s93Lb SyC1kHxuvpJh2PNmWuc+3m89Qlvu9XwbBoc8S63K3VjfwxjMrJph2NnMiNfC eCZ8u/ud5mGQcMh42rmLQApP1EdN/gzD/X3PD77D2DHK0l58aBhihLiiszBO e+bdMjk5DGaHn37pwXjo+TOT4oVhGEvRz9TF5+1+mV8R+ncYtiSdtfiN8ZlX Ldo2G0ag+ItZciTmk5DAeC/HMwK9NiVedzHfP0nb5VYER+AoV0FSIs5HNEU9 qUp0BDgS5eemcb5Wry2FY3ePQKi5lZwzrkfMG+/wy/IjcI9CYRHG/qA5/RmH puoISGj/k5jD9RR4l3+bU3sEXo3wKK7geh/LblloOTICHWdYypSxHwjLZTi9 NhqBZjHbq0/wPs+Vr25taD0CkZ9/bP2D75MotPy99Sx+3vHuWjm+78Aib/Kg 4wj09IThrR7rKS1fPeDmCKzpJY5cx37xLQ9/6t+7I6B823+DJfaTptZOgt4P R4Cly/bKORMC/bcoOXv55Qic0e/avvF/f99SCHl79MsI7N4zdsca9/fEzQGh H99GIOx67K8ovO8/rTwcpFeL8ymWMlj0INDg2bmzB3tGIGYT/eRuP8wn1kZs x/pROLgW8ZInhkCKI3kPn3KNgtna5U2mr3A9DvIxeQRGYelXxKacZOx36yua WXaPwm6tKOuCHAJVciiFDxmMgtWqntyXapy/5zrW3AejsEhY3t+zAetLqbWb XOQonE5b8SG48f7Bm9edHDsKX1iMTjni/T893fHzs/RR6FmX6PffTjyv+xo8 fX+NwnAg31KBDp5HSooDi02jsD7DODBBn4xe+gabuv4ZBf6XH2KvG5HRpJCO 0tnpURhNbDOdO0lGYUdTRwi+MdhVtG2gzx3vo3EslqXCY1B+1+Gq+A0y+jNm VXFIagwsEkMWtbEfUArckqR4YAz6TM0zRB+SUWvDZd60Q2MglhtR2h5ORn47 y2/v1B+Dp9uz0jyjyaju83VrwRNjwHZihEcbz9PrXA0/HtmOQdYss+BcKp7f JxU0OC6MAe+Y48NzWP9d53oFmV5jcNGs8eIAnt9Cutr3rt0ZA/5nQhMOeL+j hUXPTgSNgXLevkc5WO/5ZI1qumPGoGiV9Ukp3g+HOOL5KhPG4ExahuwRrOef Bunm2WljkHZnQDAG68/jMsOYmGyMJc2CaFi/zyXGdvgV4HxVI74WYT3TvDMl fpk2BnzPX2x6gPVws63emeOVY8DyJK1AGu+7BUJjIztbx+DQ0q/8ZrwfP1rU kefqGQOekfe9g3j/P9MY4UIfHgPJylTxcrxvq+UO5rZPj8FvwYB5V7yvbwrX XCxljIFfjvz8eD8Z9Tg/0kxfG4OIeLFC1UEy+mDU6/OEYxykJ6THKENk9GDf QdqtLePgO3tbQ3GYjE5zPGA9t30cpr8W2//B+MBgpyFVYhwKjifLWo+QEWeZ coiq9DhEe3JcTsa4KyHgl6jSOMjuEGEWYpx7u5V3g/o4TDI1v7/AOMhG3nzy 8DhIjlMryBjbaPk9azIcBy0fvfkyfL6yUGN7sck4KPzqsuPCeMOitHiqxThc lagSF8P82htuOYSdHoc7nHfMVgfI6F1ObbLXhXEoYQ+US8P53Xu8a+T0VRw/ +Ee3JM7/pLO3HMlrHO5NZ324gOujYPTzqtLtcViRS1++geu3fp9E7vbAcZB/ eW6jNa5vC/u1hbVH42DDupHC1U5GGQPfNEaixuGjoql8MPY3/qUiPnVx43Cd 20C+6f//3nC1pCBlHPL5JutmsR9jsdlm+ODjONT63Tz1Evu5Jk3HB27F47C3 /q2fHPYbb7d/qT5VMQ5uZ0QaQsvJyKzhvJlsE87f4wa98jMZyeQURvN3jcN+ EdKJlAIyWg3jaWcOjMOGn7c2W+L+TKV8tP85Pw7fDrqIHsb9y/zKdtVJcAKY JVoNB5+RUW38yRxz0Qn4Hk00tESQUbJvxrz27gk47KhrYBlKRiaa5rd4VCeA FnVHYQ77h8Ts/4LfmU0A+fyQ31fs14l4vf9mIidgM5daRu8BfF+VdV13X0wA J88/OXt5Mvo2e1poa/IE3BHQy6ndjf2Z/q1Hmh8n4G7xfxEPtmJ/Nvre+27L BFSufO+PXySQ9oE9VEHRSVDksI3bXoj9gs37wNTdkyAWGNr0NOd/+qb7VUNh Embiv6xIYT+h2WqrZnt4EuKKZ8ZvvMD65hstmWo/CfrrlE8SdwjkmbrbWuPy JCS23+e7d51AH2pzo6rcJqE66cxYlxuBDkjVck3fnYT2J3t3rJwjkPJ3jgX1 lElYH/7fQ1ZjArnMRClVZU5CG00+wIWE91Xh3Y42eZOwxlnB4MT6r+CEuv2+ T8JxvadQhfdFp6gaYYG6Sci88X1qHutJxhcb85TWSehfptaY4n1dlu/Gjx+j k0Daccc4E+vdZS0ONhv6JARK2ZzL2In182zU4SnmJDhzyT7vFyPQSOiuG36s U+DTeX+DuQie13k57/m5p6Czpf7Dv20EutANU8mCUzCnsy15QADvq5w1Mupi U9DneecrOx/Wh/02Z3/smQLGpcMT5zdj/bUei7NWnILIA8T8em4CnQ243jqp NgUZCmyxfzbi/S+TXcAPpmC9j2TYMgfe/5qfGvMTU7ifbd3M2Qm0k2VXcPKx KfA9eaJxmo1A9vtyStVOTUE1YahezYr12xT+VjpgPuxsXGPrCdR965e6teMU xMh9TidjLJ5i7T7pPgU93k2O4+sIZFszmnHn1hRcMWsNqMX4JcN7mC9gCvud Y3sXMe6QZJdKDp2C4v1ljnb4fRHKUxu1qCkYI57YbMLxTl2TelYZNwUBHsvz yxjHvMyut0qdgsATazvkNuD9vOIw9+S7KVDMvJD2CvPfPl1teCcfv+/VYGfO iZ+PKHEYLZmCqn5XWT0uAgmp5vqYVU7BB4kWYRdcn5jm5GfFdTi/x4Hf2nH9 hG48y5Vum4KU1AOFAbi+MTtCfkX0TkHq90ZHJ0ECCX/xGVkZnYKfwYX6Edsx X9Yz4nXMKZCOW658LI739xRzTS3Wafh9snrpohSBdhAk8+RN04BeSdrcxH5H 9JF8yHXRaaBUv5KiYH/yUkkipW/3NDy1r3myAfsRsd98NKrCNPSGtJszNHA9 tzMWJA9PQ9LoV4MbR7C/LRzlfWg4DT7Ee34O7F8lbDrlFkym4d66I47fsN+Q TPzq8MNuGv4dK3VotCKQlFzoLzf/abj67JzZBk98/79uj3Q8mIb/LPM/MG4R aJerG6th5DS8qLmev+Ue7p+PFpoi/01DDHd965sIAu2FnSml5dOgJcJgmGfj /usVoMn/mobLJs5iRwrw7wHsHdFN0xCQIneRoOH+/THOe2VoGlQ5j0SG12E/ s8/6y0a2GbihuV2yexb77fd7ZHP3zMA5uUXllINk1MwWrz68bwakNuhH8R4m o20WQgaiijOwsPJ02M2QjJ4tcdkHquHn204281iSUYzOTJQVaQboWYkNLt5k FPv90zrWyzNwiJTgzvuejGZ6sm9MO82AUYKC1VWs1yRm6myH6wxk+XOmvi7B /kT+Se+H6zNQnvHmv1Q8jymGD04l+sxATPCZgMt4Xifa3al/5DcDvZyz0uvx fDeJvPL1QvAMZP70dc7qxfMz3UHTLHQGJp3W+33F+rNSbpkD4TOQI8GmnjxO RmmMI4lCMTMQcv5ba/M8Gf3j1RLe8HIG+B6I3tm9TEYnZJUjZuPx+0qJuof/ Yr2xFfWvej0DzXdesv5mo6CTXvzLeekzwM1K8FM4KSjrMafbf1kzkMCywSZk EwWxv/k38vj9DFRTfdgiN1OQTem8vU/+DFiwMbTs+Sgot2Os9VLRDHzOCtOa F6CgjQs9x06UzEBFwTmK8TYKst/cUqlbNgNjj2qKHYUoKE/6F1L8PgObAwPm jUQoiFu3rEDk5wyww0+rmR0UdNaqUJmjFvNLiL9sKUZBn65lpc39ngHPT62p fuIUxPsoRbKneQZUGMYpVyQo6GLqi5jq9hlIOzHPJiRJQV9KIngL/8zA3Vss 1+5jLNgWFJzSNwPa2v/evMf4Ct2XJXII13dizC0J49JNHtdvj82A0nlKwnGM hfY4zjhOYbxNS+grPt/lsP0lS/oMCHL4V83g+N8sLXqOLM7A++KXH3swP1E3 6kll5gy4xPwcDBeloGshenWi/2aAaS/ouQ7nU/WfBrFx/Sw8njF6qCJMQZLF irSFDbPATRY8vXs7BXk179bo2zgLUue7lFsEKejXtEh2Dc8sTD3pMTfip6Dd G/lkivhm4fOS8D7/LRR0U4oj4fXWWeA7pi1yg5uC6g793f5UeBZuHkhNOrCR gqRPzD32E5sFs5/HKTkbKKgxqPvOqT2zcHL7uNUSvn/ZxCaGwb5ZIL6IbS/D /eH/6aeLisIsVBsOx5gtkJHiZL7dpoOzwFrO3P0D91cA+7sWhsYsPPpxazwL 91+HRPLRAe1ZsN6UP22H+zPYNByK9WfB6mHHB4lm7J+vBOa/IWbh7F0Uvb+O jA7e91GKps7C1cGFBd4qMurLvyThYj4Lr0uOz2tjP6stprsmeW4WAsXflDlj v0zYNLqfuTQLO03eJjo/JyPzFxeH/nOahV628+WHsZ+4Ihz2a6/nLKh/t0+1 wf4hdmvHC/nAWRA++0WPZkNGSzyeGhppsxBZNEFs4yUjNmPOjBsZs6Axnawl z05GvKEvJIqyZ0FC5a2f+iqeH1yl7IcLZ4HMPy2mMUIgC/YtTUeqZkHwtcea DJ4vH/6luR2dmIUDcd/UuNwJRNPRHgyfmYVmwa/uaZfwPu5Te/L3/CwcjGuf OWdHoH7mApz4OwubRqpT9LDe8zP0NltvpoP5lQbpJrxPiqs1+7/kp0P6NH/V GzyvZT0vL3Rto4PUUb+WLKzHunOPO+0l6BDldlHi1CYCuU53vr2gTIcrXH3m NtMk5KPoKp6mSgcuqZr7SyMkFOzMGjmqQQfpPSwlzX0kFD++74aTLh0+00qj 7VtI6K1s8USmAR0afg992PKbhPIuH7OfJtNhKON6G8cvEqoZ9iK5m9IhVVrG r62MhNr3chW9t6DDrwOjKx9LSGjwfJzighUdFHJ9XHuLSGgmWTlJzY4ObQFI wbaAhFb7y7ZeP0sH7b7Uq7IfSYhzl+WDwot08NFpsKXkkpDgmbFV5hU67DPS 5v2SRcJ64euq7UoH9PR4UGAmCcn18A74etDB339vdnI6CZkMS5Z6Xcf5V3mw 7X9LQq5TygkuPnRQnxqz2fiGhCIX0O1LfnSg/xgmFNNI6MPqMRuHADp8D/Ul JbwmoWZWBy2rYDqcDDH4bofxEpebkFkoHXKT1fc6YyzC779oFE6Hi0fv51Ri rC0c0aj/lA7lLt4p7vi805KJuToxdKhyOaZwBcfzk84JV3tJh8K9+8/mYj5J il+vKiXQYWBy3TEig4TKD9ZTZZLp4JR4elz+HQkNaffK7kzD9eQO2mGfjeuh P8spkkGHSRnTj724HrJG64b5s+nAl7THJwfXi2rKV7HpA8blMztrcT2vntr5 H1sBHZK55Ehan0ko3H6//98iOjTmN9+k4/vIvahrt1hCh7QfgVoMfF+NV4/r TJfRoWPjZTqpkoQWPR12jHyng5KH2d/+ahIS8nVb7vlJB/vKpuSqehKyeRjx 8XcDHSKzWGM9OknodmTik58t+P4qYI8a7p+E5zlu5R10yP7qVnkY99fA63qF vH46GOxgF965QEJO5Xypz+cwH/aoOM7//X+JnzsDIhl06FRoFe4TJlD27/1n Hq7QYTYrJmwJ+8/5nuPivqxzkACd+5qxf/X5GxFtLzAH8ZsNPPZYEihUjT9I +sAc1ASvu+yehv2wjtR5SfU58GO/76H/nkB1+ipHhA/NgXW2WYzqFwIJmpmu cR2Zg3NRqkPnG7GfcYn0njLF53dqzP1YR0aZafyXPrrPgfKcv4LTaTy/mkp0 Wb3nYGfc4/FZR7zvrXfecfzWHAw35FZfwXrOZfO9ZuLeHLy1VXyhiPf5C1t8 Du6OmoM/EqsjkTQy0tHet8X9+Rw8m95yzAbv04KXm0dK4uaAY2fV4TWs12Wl yi+tU+fg84Tu6/IpvN97Da5/kj8H15NyW+fwvGckRXb2FM3BbYH9kUq7Kaim FvIUaXNwpa46RE6Rgnz3xV6uqsTvk10sT+pSkLkF6YjQrznI6rpsfY9CQfL3 5kUv1M9BseEGlrNmFNTeaVK3rh3z3SWhcPAcBeVsXH1z9M8cFDxxtZNyoqBg tTf34vrmoPv846DCaxSkHs6qrjmO+dyvq+vwp6DNxdm8QdNzMM3GrngmmIKG Rm3HGufmoE4jlhkcRkFPjxTEua7OwRanRzpZz7Feup73/sIyDyeowzFvX1GQ Xhz/ce4N8zDU/Ufx8H8UJFJVImu1cR6SmmblLr2moNlFJ7Y0nnmY7h9p3JtO QZW7RP4s8M3D44tXgq6/o6CEY9/zj2ybh/VVjz5Z51CQt69HRITIPHzwsFqr eU9BJm93XukWnwcV3RPr6j9S0J6WGn2FXfPgIbEcaJ9PQausPuK3pOfh3aqS u08B1jflfUuVcvPQElFO21VIQem2zfXblOfBeUdN6AmM74bcSz+nOg8ZP7fy 8GFsla98P1djHsbrPaNO4Pf3D3SdZtGZhzuD+59J4fM5+R5qmOjOw5s95ERv HL9bR4P/pcE83KN+tTfH/PIcB8dHyfOwa2wsoSCbgsKeRVaom8xDVN0ro+RM CjpfDvH3Tech7aTH5e1vKUh7duJ6g8U8bHg2s5M/FfsR8VjTnda4fkffFT1N pKBxCknexW4ejmbcfhn/EvsR7/kNxWfnwe7BXfKBZxT0PDmxm+vSPIyc0754 LIKCXOtNCk86zcOeqthCRggFSci9cZr3mId/j/a8GfGhoEVLC0O9G/NQ+AKu qHrifgtglQz3nYfuS4Xpm50pyOePbYNcIM5n9jjZw5qC5kk6cedD5uFvaH6J kikFOeWIXowPw/VaPvL9HkFB1gEdTP5n83D94pn01QMUpCV7Sor5eh7EJNu+ XWbH/u+JxsSBjHlQLaWtSjKxv/i7Pc85ex74a4Tr/CfJSKSumdxbMA+J23Kq KQ1ktOxp7lb5Yx77X69F4gUZuXYfOLS+Zh58xv5pvAgloxFCYIP273mg+24L fudLRq07fsdktWN+gpTcPXZkVPD1KC16fB6sUhUuF0iQkReP0ZbzPAswnK5j VxRLoCkv2bZXfAsQdu29dfMDvM/2bPyvdesCZGpTaqfxvm7xvlKNKr4Ae3zW tJTw/Dl4yvD0AaUFyGXt9D2F962M0j0yzgcWwFf6LNGL97/d8hvoqeoL0CjC axsyh/Vsrey+CFoA9p6HnKYNJDSfrJu57vgCaFZJJKpE4fm4eaf3oRMLoMSj OAKBeH56s+h6nlqAjHCvexHeJNRAKWkccViAzhjfNn5rEqJ8ePVK6sIChK+Z bjEyJqFSsduXbBwXINvy2qNWwPN+Rnu11n0Bzss2drPuxfphJfpto/cC2HN2 1r8RxnpUtvL4yK0FiHZNMfjIg/Ux+tOu/HsLUGOwaMjNMERcLLGTM0ELQC67 dc1uwhDdvXwjXzZ0AaL6cm2l+wyRm7aG0aunC6DxZrhxV60hYrn69M7jmAX4 5PVyfPabIQqLn3nv93IBjshqP9tfYohE66kjbgkLcEZ7193BfEP0dv0b0bPJ +Pl1i0d4cwyRhuqG4+ZpC/BgfsH+w1tD9O28w32DjAX46XqK3JhsiMyfFReq ZeN6rqWcdI83RH2VwlPSHxZg9hRPU3isIXJlekoJF2APpfVran+0Ifon99uC 6zN+XzayxDLSEIXaKj5cKVmA3Q5dZLbHhmjH45CSibIFcG9yvq4ZivnQhua6 vi+Aa3qG2PIDzIeuJ1P7cwHUNovN6QdjPrvibWi1C+CWUBsjHoT5nFgJz2lY gHvP254GBWI+gZYVSS0LUJVTa+qPsWvB++UnHQtwjaG/iwc//290i+L97gVY eWN8SB6fF7rD6YxX/wIIq7F/6MbxRIwroy8O4/txEQ+RwXzSbu/+eXIc95f4 5TgOzFct22+NPI3jr3fN9sX5VPR2Hjg0h/lacF96iPM1F9C8JM9YgIt/WY32 v8B89KNeiq0swOiZ9K8uCZiP12zd5rUF2CwfupWUivm8Nt7AwroIr37xuuVn YD5tbzRn2RfBb8fBbtp7zGcT+9U+rkVQHz5kdLYIx7/6pbmcfxHq+sr3uVcb ovJ4kU152xbhr097fVeTITKt94LXIouweOBBX0+3IbqqqpT2QGoRgtEb9HbB EK2ef9h5c+8iWNi2f766joRCng3zOskugsnz7n/fcP+9ZsbfMFFZBH02zTIF GRJSk1/NBLVF8HyicllTDfsl25N9ylqLEJp3QLRBn4R6aLxGAnqLICFjdOfN WexXgvxFW48vwpIC/5c07M9SC7qO/TixCF8Ns7QnCklIdUzz/qdTi/CA1rI5 A/ubY8b0yZcOi3CSS8k6Cn+fDwTOlji4LcJuz6OaBYYEYsbrnxkPXwQ+y+z3 u9cIdJihE7k/ahFcmgVl3grj/cdEvdT7+SJw3RK9dEuVjDj/7pNiS1oEuYVJ hVHsF7ZabekTfb8ITwMJLd12MlIWbHcwaVqECdt7mXOf8b53pSHiadsilHbd DhFrw/pQWv21vWsRqEvcR3cvUJCOW8nOi0OLUB/x98gbeSNEqUnuvcNYBKlF paGcGCMUtucV37eVRWDNWE0cyDVC9T7PdLlZGCCsLMD+odoInZQLSYzhZIBn wbo8jjUjdD7YxSFHmAEWrpOfn9tSUVr3pQiGGAO6F1L5flyjogm1M191pBjw Lqv9vOkDKnIfNN9ZJcuAzbflE4/nUlGetslxXiUGqAxVdOZVUNHyE5K/xQEG RKs2l5m3UpGfnlZv3yEGcJbyPRReoaKy5wf49iEGJMz/XVPaZIzYZ+V1XfQZ kFYzQT0tYowoxF63jwQDIo1v2ryUMUaP4iUSV6gMoKT3yvQdNEZ1i0L1uscZ MLjXr1hazxgJmvCvCz7BAK0AC43zxsbIMmXT/ppTDJBlBP+MtDRGsatsDoKn GeCg1PUlzd4Y/TH7F251hgH6mmpu8ZeM0c50Bi3hAgNcR3msXFyM0bn1szND jgxgDx7n4vM0RmmnxiQVXBiQ6tai7HvDGI1n9x+7do0Bh8/9jMrwMUaKnF1+ hd4MOKYoIRVz2xi52zVnr91iwJD3bJfGHWP0Ma+2x8CPAbM2ofQg/PsSzw/e 0AAcL6Ii/TZ+X/t8KfodzICkylM3tuHz73wuchV6hN8XOjJDeBijUoGPCacj GCCznat6y1Vcryvv6pKjGGBynm/m3AVjRC59zTL+nAHIteOSnq0xChVOVN7/ igEdIhTnJFNcL9dYe+8kBtgIttrdMTRGsuG8Kx6pDDg+QNGo1DRG97ICo9zf MuB67em4PDlj1FmzquT6jgFOZVcuG4oaI7Up9yrnXFzPHWYvruH7CucZPXcl D+dfYWCptUxFY/J2a5c+MWDe6P5w9CAVxV0xUj1XyoBqxxRX1k9UtBjytcbh GwMUt3SUcidR0bG36pftqnD9S87GvQqmIrbRXa+sfjOg4YDymWPHqeg0Z6zG yWYGuO+unHU8QEX50rwNJ9rxfV8NPsEqSEWOF1Y5jvcxQOxiRWlynREqv++e ZDLEADphX/cmwwiJpYxoU8cYULDfqmh3kBGq6290I9EZ4PjTa6+XuhGSZTXi NlhkQKy6lDCFxwgFSH1N1WPi+0lbXxvWi/2tQ2aHzvoliKb3u1y8T0Hhfru8 DrEvQdclMYJpTkFj8c95NbmWQOHKgy8rUhT06s99A1X+JWiUfXeN8omM2GxO Z8lKLQHLgxr5nc0EOn2rkSyzdwncjxnX739OoPxYysAe2SUY36sx8tGKQI5t asI7VZbgqk+Wr3gbCdVbbLm3XW8JrH6I3UotM0SyXvfFthouQdJMQmjgTUMU ELWSz09ZgpHSQ/LjSliPGocneEzx7+P2YBJtgF4dp1mwnVkCZ+Ax6Diuj5Zc 1WbXXVgCtitn1h/+ewSZhmc8XLu8BLwrV531Xh9BG2pjaEy3JZg1ukjRY+gh J6qb7Kw/5hN6rSQlSBdpkqT+dSUugZyY0qmgLm2k+l9V8PeUJbiVkX0/kE8b Ka65C+S8WYILszWdkUcOIan8MpmAnCUQKd/5jiNJE22SPm8m+xXXpyLYv5us hrrY09K8epZg/9WUvfX/KSL/bwpmWySW4WY3+5HlvUPgI9XctSS1DK+KLrdP cNaUeN2+falv7zJw/47zcY+ilziq1fp+VFwGH/Yq6l1RTppZqmua9eFlKEgg p99oEKHtCXz/97XtMvzVr8qAJTnaDwPNNPRyGSL69bduyzhEu/79tuKdBBxv b8gemxBtmgy5/ENx8jL8k8mRMbmgQwukHv2qlbkMvbyPnyxsA5q+2fl21S/L kNJCT6uX16XNN761v1a6DDRH2cWfEbq0/yxmhnK+LUOudlC6/YIubb3VrTnF 2mVY0egxggI9Gs0+gntfzzIUH2I5Ii2vT3Pta468OLAMJt62R8j39WkS50SF U0eWwUBvkNzSqU+7ffH1nl2zy3BOXdBnd5ABTftq8WGx9UzwGmzbyl1pSJuY Xl9hzc6ETVkXTLYKkmgv3AijWC4mzHTsbHE8TaIxPRostwswQXz9rcfTkyRa /q1RV77dTJgocTURXyJoF/4qMo7KMCEmaiMHSY1M23bHwzdMnglpW2K60t3J NI+7aw82HWTCrYmn3nuHyLTdbAa8FE0myGv77jwkRqE13A+JDtZhQqPq0scH phSayoOt/20wZMLfZnmRpnwKrY/Lep8+hQnbZm1Kfw9TaBGhCVl3TZjgzrTf wL3NiDbzWO7zmgUTLrz7lXnQ2YiWwOemd9iaCTIcc79loo1oR5/kVfrYMaGe 9RKfbbER7V20btPyRSY4OHIOhbNTaaeFgqw1nJgQ32MvECVDpfHEVvd6uTJh /ebtQf0ElfZ5B97XPfDz+7fsuHORSnOKs5yau86Etp+/ehwDqDRRiTgPFV8m yCrmSL6Np9J+JvQxXf1x/SSkTqFCKk022Zlj6gETkqWv5PkNU2nte94/kg9j QuDE/T8qq1Tag9dLAlciMd/bbazULcY0jX2HY99EMyG2IielTtKYNvL2nuRI LBO2HG29VqFsTHsm/yN1bzwTepofGiuBMc3w3WaF8/8xocvXFQlQjWmLSubv /3vNhNTO60Felsa0lJznmn3puD5KlQ9OOxjTHFesZVuz8P14/5kyumxMUzYQ 31HzngmVms0Pl1zw+2E9m8rzmaCwJVz6sqcx7XNr0mphERPa+1ZSk24Y0+5K nZ/MKmHCfVtN7rc+xjTCSfpPShkTlDI+eAbcNqZtzhutefGdCb8rQUz9jjGt YS29JOInE/ydZSy/499jyFezg2qZ4N1OidDyNaadfqKc6NvABJ+YnabRN41p u7voEddacDz73+o9Xsa0sb0f717uYILwCQ2GmLsxLdvV+5pdNxMSs8etTjgZ 07w+aZ470c+EKXGSXuh5Y5o226q50TATFHsdEyptjWnrTL4Y6I4zoWBK5xbv CWPat2d+aurTTLA65Dx22ciYFtqrJ60wx4S7Ry9v60DGNFO5DUK7GExg2p5R dzxoTBPy/M4pvMKElfVHnortM6b9+fJgefMaE4Za3/iv7DCmJXNSx9hYV+DD 5j57rs3GNKWXdT9nuFZAbb/k+8ZpKm1+MPLz0OYVOKZZIx7XTaV9UjqR2cm/ AgWNIVeya6g0w7K2sEqRFTB8eXCu/i2VZjvWdzxBdgUyjrEtFVpTaVKqKXrR iivweqeyc6QhlTbie/FAqMoKlPef+z6mTKV58E0IXtdagfbf7yoPslFpDzUW Wo5SVkDX5+iHqRQjWmEgx+m1yysQFcl6NbWDQtu6S97x9JsVmNUzMH1+iEwL j3xo8SZzBQ5zfXB9Jkmmca0f15vPwTjUxrNnA5nG0vtmR8inFYjw8O13rCdo E6+kf338uQIybS+e/XMiaBc3BxWy1K3ASrCrMt2coPX5DqUYNa6A1lrtmrUO QWu1Sbnd27kCRIzrr+QtBK1cZJcyz9QK8CZvPHLvE4kGIXdFT9JXgIs22pGY SqJ9Wu7l/G9xBaLFeg5aPiHRslsTejXWVsBVaY37yVUSTY5gqbnHugq/j+nd l7Al0VLz7T7VcKyCbNStDyZUEu1ltPiTc7yr0MlIk4mXJ9G2s9++kyW4Ctys 3DPlYiRapGfXFabQKnQIa1+L3kKiBZu/1A/fuQobNnW8PbJgSGMtX1Hu2LMK 2VdeXpIaNaTdPmAttld2FYi7WxdyuwxpHvwii0Uqq5DhVxwyiefntP+NPnb1 VSg6cUPmeYkhzXG2teb4oVWw8or+spxnSBu01yh6CatwVWg+eUuWIc2+7tnr 4SOrEKx7lL3jtSGtAxhPVIhVuJ//psc60ZBmkWXh50tdBccHhRsiXxjS6sXz nCqP4Xx4HHb4RhvSqGFbTwmcWAW/A0ovRSMNad//ehicPrUKCyvDLS5hhjQ9 58b9b2xXgcYUnPd8aEgr7jwgPu+wCnnv4iYUHhjSNKhPuODCKgg+vPg0OsiQ 9r6IvvjAEccL+Bv1LtCQpihn2t94dRUi5w57eGCcFptTK3FtFQwStj4cwngX F99nR28cv1SFlzXYkPbqhmvax1urcOLHb4FKfP7/tXTm0VR+3x+/871okikq UzPKVGnAs5vc57mGkCkpQ0KSpAyZU2aZEqJUKhqVDCFxFBUZCoko6oNEVBIN uL/zXev352vde8/ZZ5999vu917KWBV+aU2lhU4RFcdRJ7XgDdNZG/aTh6Ski /LWI0rZEAzTnRcLhtOgpIufcnPRxHH+Mzujuj/FTxImQZS470g0QK8/YQC15 iqjJzvymdcEAhUrf1fI7N0W0le07Xo7z8zdilsKT8zgf18alOnH+fH4dEpud PUUoVux/G5dvgL47v5y0zpkiNqxRz24uNkAD22JfjdyaIuzK9bdP1xogx8Iv FRvuTRE2M337e5sMULcydfNU4RQxcrlUjN9hgFrovHDZiini+LpMh6SvBmj0 7vl9pgjn719/lc6kARKxVd0cVTNFONyXCNnJ4CN4YDI+3jBF5Nb5i1TL8lG+ 0zmXV++niI1bPK0IYz6qn7NiG/fTFLFiv4LmtC0f9ZeXKugP4M/DiQqxg3y0 SKK74/boFLGfnSgnGslHcU+VDaOEU8S/ZKtLkk9xfR8pWlHJnCZWJ+lM9Lbw 0ZOFBqxf3GkidfLgva5PWJ+PHXzsNG+aSOGkNQqYJHJbel9dX2mayF/1y+zc DhJtj9CT/LV1mpBvUNac30AiB83m76p8/P1r5z9XdJMo8L1Do5PhNDFrlVOx 2QiJHqw7Hflq1zSx89SHB6vmUEhxoP73bedpIujVi9UrTCikm2L35pPbNNHe Jr6lZC+FrPVHC2QPTxOrTIU64ocplJAmfijKZ5p4KcFiL46j0JSBzXunyGmi xfYQS6OGQgt+fik7HztNPNujl1X9mkLalwLTXiVME6WeitfZPRRyn8zeqZ8+ TbjdUBbN/E2hyKsaaj5Z08TDG2/l+1kCdGXnE96dS9MEQ+eBXMc8AerI66+W vTFNHLl9bNedFQI0vssv2/TONKHFGpaJ0RKguTSRwKj708QVl72tLD0BMrBR W/urFMdL0VxfmwqQE6tyntrjacIujHlZ3laAQu7vHHGqniamNixPYe4XoGLe sdxXddNET+qT9IRjAjQQdHKksnGaELD2NRUECNCCH4lr776eJn65zzvvc1KA BAeyA7PeTBPVX5rmd0YJUFDnnScxndOE4iI7j64zApRv/EjE/z3O3zezr4Fn Bai3us7U5eM0sVxixbeyDAGav74j3aJ/mng1qf459aIAbb818GHrl2nC7ESW 3awcAfKV/7VMc2SaqFl4aEQhV4BupDAPK/zA8XNcjZtvCtA7zvyi2b9wPFdm G8jdFSCxQMV//35PE54zISW0+wKk+23N1qGpacL95/6z4Q8EyHO/XkwHbYaI lHk9cKlIgC6/NXz1jDVDqCUue2VTIkAthrYyxbwZYvxR/6m72I+xkNu+q7Nm iIzBZMPsUgFav9bvevK8GWJw0D9CtUyA3G5EfA2VnCEMmyKvWWLOXJSq7blg hkgpmquxGHNDUk6A3aIZYkl52tNw/PsZVkG1QHGGsNJMnhOF19c4UcXbuHSG 0Fdc3qaC93ccady5YiXeT25oyBPHl+LYnSalNkMUxaXrWuD4a94MvWdqzBAO IU9ru+4J0AT1Z+mY9gwxMJFwjoPPv7KS69GrM0N8nbFofIPzY6slXdi0eYZY 62h5WYDzF5+79G8FMUMM69ntcsH5/Z6wJfo8f4bg6G97kn5egJSZps1RhjNE hKeW3f1UAbLw2yftu3OGkNkTluyTKECl9oHXzK1niOD6TRtnnRagodaYYdgz Q5TqvOZ8DBagRWSGlrr9DPF6DbHsoJ8AhWoUIzHXGSKAMs3LPChA96895f51 nyF0VOLe8J2w313QYjLoOUMod/UM3sP1aED/1l3jO0Oce63bXSoQoDktK/8E R84QUWkXNL/gegcDHfCIncH+crvHDXkB8i7fEWWbMEMUcLM6tKUEqD3HSUon Dd/naHVmKV2ALh67oPn9Ot5fvTmrooNCalLz3J1qZ4icOtal9jAKSdx7dOd6 3QxRsv5jduRxCv0lXb8NNs4QqZGb/Fe6UehFUOXxI+0zxGmT8HsmOynk3OcR GvR5huAZlhwLXUyhi4V1qWkiQoJ8eubU2goSnTb2eds5W0hU+C3YH3KfRB6f FeUWzxcS+xw104evkWjTQv9LV+WERFm8UG5zAonaw5ffuq8qJFS/lDr+cSLR 40UtX3+qC4m10YtEb9qQ6FpJsLrOWiHxXt67IcmERN5DbUWPdYVEgum+VvHN JJpjfqqq3lhI+Oe5uErLkOjX8BrGHHMhQZQdeP10Dom6I95tN7MSEuudiO4y DolulWnWv90nJOqNO3IiJ/koedf7WQv3CwnfFK9kh+985D8SvXOfq5C4f/Rf RMwXPjJQ6m3rOyIklsxe9rexm49WP4qTWXkc739ij3C4nY8kLXVsD/kLCWGr gdS+13z0b/TThfwgIeH9Ehksa+CjT9EJPT/ChETNnZ9RW5/zUZ3yJuV1EULi x3WdkpIn2O9U9Dv7xwiJqUe/0sMr+SjdKjnv0RkhwYlO6s7Ffinku+7QTLKQ sEg0X7T0IR8diB1U25omJF6fdOr4W8hHRktTj0RkCol83uMA1QI+0q4kHrzI FhLP9q+1KsnnIzmb4XGxq0JCKdYnN+sOH9HH0nR25gmJzWISSV23+GgwbmtA ym0hMRZ9TtH3Jh81LxuteHNPSEh2J5scusFHJVXnhQuKhISmQ82f8jw+urh7 x1a7UiFRQmkNO2M+/fP76UsVQmKyfecbN8yHzlx4/gkJiQ1WahbPMJuvIEWX 1woJWdurI0F4vY3VP40O1gmJg3Up4vF4P8U9lxLvNAoJ02JpuZ84Ht4vQcu3 10Ji6USdYQGO91vChKR2O85fqFh7LT7P1+/yT1a/ExJvmRulWfi8Q+b8Iys/ CAkNCxd6PM7H56Iji5Z8EhKPdqs+tivhoz7pjLrFA0LiCvnN3qcM34c/8l0w JCR+5aj8aKvgo553g0skRoWE+/nbBwMQH73L3hjCmxASqzQk76S84KMOmpMq 86+QMLFtV2Q28tEbp9iO6Wkh0Sal0VqE79vt7OHzfxg0sF9lX9jexUcuNfTv Eywa3A5tUd7+Ed/Xr3MG4xwa5LnW7xoZ4CMn68qfo6I0CFH2+vN1jI8co80F X2fh37fEmMEfPnIoG7j8ZQ4NsjWeaNUJ+WjvwrkmffNp4LL55X/HZ5PIpsf+ RqccDbJUbNYxVUlk7ErfW6NCA05oyVXbwyQyyjhXWK1GA/3K4PdqviQS1K0S rVpDg0Vyqk7SoSQiVc0flmnRwEwyanp5Mom2fssRv7eJBkPiU6+ZJSTa4Lf9 2XkBDWJyxepbaRTSudGxKN2IBk2LS8fkRSm0vtPjWKoJDdS6LAbtJbCebz6n mGhOA5Gi7oWPllFojbA/4LQtDVLumPVkUxRaEhWlfsSdBsqLDv0+Gk8h7/a1 IU4eNPjwwLJOLJVCaNmnBktP/Hn5TbfQLArtq9F11/WmQeI3H/XRmxS6KzFU qn6cBivk7gUP3Mf+wimdu8SXBudf7x188JBCmfSxayIBNBC12Pb6CfYbX0wv /ZwKpMFnRY865ksKbbhstPV7MA1mLXVukcD+o10/r6f9JA06XtVEXOim0LIE izX1p2iw5uYjlsQnCh1/Tw9+HEGDcSZd3+IzheYH2cldi6HBf4Y+s7R/UMjx pcjB9Dga7F/zp73pF4Xuyz18GHuGBr+dnz7T/Esh4UFnTkgiDbi201J7Zihk UiZueTSZBsNyN8UEDNyPeVVXnc/SoLWp9N80W4C+WnuMWZ+jQdrEar6viADF TjxL1D9Pg81X5EoK5gpQ547jHzSzaFBicfH9sflY384prV52kQaPKivdfksK kF9fU+CCSzifb0f+6ssI0DPtoHqxKzQ4Eyy6gy+L579Tq2SFOTQIuuvBFl8o QM4t7a5j12hwS/oz98IiASpUOl3Sn0uDjScalg0uFiDGUU125w0atLz4vOMX 1hcz9GFXwy0aFCwMsnuqgP3C3Picqjv4c4/Nh8wVBejbvo0/HuTTIKxH72QO Zv38ASL3Pg2STvwsL8R8ZvpswvkHNKiPk9oaibnbaMv7+CIapPedNZbDrHph VDWshAYPF59U8sLrBwxnBRwrpcHP75NzovH+dZuoOpdyGlgWsY474fgWxE7I 2FbQYCo54pEQn8e186qLcSUNIprE9jrICVDJSrNiQDSQ8S3vPr1AgNj+M8y1 T2jA2Kr08rA01vPnt81X1NBA3UCidiHO31Xp3VfkntHgi+LpY4niAjR2gPN9 9gsajPHN4+rmCNCW4kJ9ej0NBo/KN9aLCVASy/HM+Ev8HqLk2ak8AVpz9ZFK VzMN7ngqV5/Eehs85nai6TUNdqvESN2YplDDFukX1a00kMwMpGX+wX631+vA jbc0WC1beq/vO4XK1OWLsjppcDNeL4P4SiFe6EtGYhcNxA8S9u64/nIXL7/s 04P7gT1sXvueQp9su95t/UwDa4cCWsUzCs3Ss85z+EID1zv517QRhdYptB4L Gcb9pqXvbUgZhaL/q59V/o0Gb+cd10u/TSF1j3J9zd94vXX6muwECgUFn89R EKFDR2HMVJox3s9e6oieGB0MB4b+aO2gUPOW5M17ZtOhgd33/YkuhZQ5MW1p 4nTw6Gnyfa6K/UGCP2eOHB28JFRuXxKhkNRla/cpFTqEhl354PmMRPrhrevl VtNBA7HqjSrxvOK8k7lBnQ4OJvzrgPtNxUr+hWPaeD2jG/O8c0nkVLC+aWgz HT62+ploRpMo/uyDTJ4+3n+JwonxMBIV+6xxXQ504MVciuo+QSLepuU0p+10 +CQlL6PsQaL8J1JanUZ0GJvfR79vTqKOa8kzEyZ0yNm99uxzIxLRo2a/lDSj w4OZZe7z+CSyMGQ7m1pi/nJTbbMuiUJWn9TwtMbxhMtmKOiQ6Mbc6am43XSQ cbMgN2mR6F/r+Lnne+nQ/J7okl5FoqUlXk799nTQX3nw5bulJDLJ+LqG6UQH n/RGuU5FEvkHuP1TdKZDGi/u1vzFJMqx63uu70KHsF+eRtGyJGrQd0i1c6PD Beb5J5uksX9R7HYIcKeD3e60KhUJEskzbVZneNBhhTVnwGYe7t/9rX+KPemQ KXPhRS3Wg2DVhMB7XnQ4ZpT2Nl0Mz3NHyekb3nRILPQxvyJCooGHjNCc4/j8 KVaxn7gkWjhTQbvgSwcdz99P92A/ZLrdL/ycPx10sYOdzcb+LVaTlRhABzHV DPFJPF+WvRqOiA6igxV9wVFZzKPSudzwEDrkvfY6eJxBoiV7HWICw+hQKzSn 8zDbXJUT8wmnw+NXK7Tb6Pj+vrTFe56mg/a3/752YK5WT5zjFkmHDKMt86Tx 9yd8qCTHaDoIRG97x2FWqWDO3xNLh4ra3e834P3sGZVnLeLpsLr6wGx5FolS SX8pkwR8H4/bCzfheOsStNL5SXRYfLzRJwGfZ6bt64ItKXRQa/H8uoBHIq2F eZmbUumgkkZc78T5cHV0XLQ2jQ652fOUX+F8XchbmL06gw4RJZs7/+F8vhp5 o7Aikw7/NIvX2eF8bwoQLJHLpsO+qhvmpVIkOoJY1yUu0+GAT07BgwXYn3Kq ls/OoUPCIbOfHxaSaPZZbRVaLh3m67wcqFPG+to5cvtPHh3UjYc+RS4nka/C jdU/b9JB8X2blbcKiXpvL9IcuEsHzVfOTa9wfUmNtT/ouUeH+JZHTVtw/Qk2 JK/tLKCDuEYxvMd+t7CGvaGhGNf3jjfzEvG8H/l+VP/BYzocvKFU8tiWRI+W 3ES3q+hQti7graMDib4f3L/1ejWuJ7Mz9ctdSLR74u2OjFo6KK8ybpztTSK1 udVGIY10qCndFb8qjkSOloFNfs10uBNw+sFd7A/SstaZHn1NB1rdqCs/g0TC Fbd2Ob+hg7OQG1F8nUQtcNZW8J4O4dl/hs2qcb17H3CTHsH3aagzveYviaIN R103faPDay3Jz1/pFEpf6ue67wcd5j08XZuL+0VJe7RL7i869M7+dJAjS6Gf m+44r5/B9anvq6+vQyGG5DpnWxoDFs9Tu3dNH+vxyOP9IQwGtPwtPj2J+5PG pWanZxwGFBruGrO1oJAn86eD1VwGXH7Y4jhwhELB3YEOAeIMGP2YYhfsS6H4 YpZDtgQDmv1zcsaCKHTbVdp+QIYBao3O147GUKgcLu0TlWOATw9jm38ihepl V+5bs4gB1X3kT6tzFBp8uXGvryIDzuxk1aRdptDva0/sMpUZ4DXuIP/rOoW4 IYZ2lUsZEBs3PrMM99vlGnv3cFYxID3qqOHfItyfRQZsVVTx5z0Ku7Jwf97+ ydPWZDU+j72BrGglhfanhu1O02TAFu2LN41wf/c+LLK7XJsBgpjcAPl6CoUb pNh8WMcApcXMBeWNFEpWWGjD2MCAT2aON+Sxv7n8+6r18k0MmDX63sGwDfuT 12rWAl0G9GT7RhBvKVR1q9jKU58B31bfc/vbSaGmU/pWKcCA63s3eQRiP/TB 7rllyVYGfM4boz35QKGRdaaW77YzQDX5Wm5jL/ZfczotZgwYQHMo+3oR+6VZ g44WyhQ+T8xib60+Ci2sHtplYMiAQwbS/bH9FFLJPLbL3ZgBQRVGzLwBCm06 NmWesJMBlLNtZiTWN8oowvyBGQNM9zhFrRqkkM2yOebtuxjgr6/wMBGz20ya 2V9LBhTE3VtWhtnvrYKZvA0DmLCv5zrmyPs3TLfaMqBC5YXQEnNajKapix0D 3Fb8V1CH17/uVL4zdh8D9qiYaNAxF23etjPfgQG9G5bUTuH4aiQbTFqcGBCa GVZXgeNvHbEwmXBmwFd50dwt/2G9ffbeWM6VAVKqZEvcRwqNXXIx1j/IgAOv PNuyeihEP/HNyOkQA6JK/m7xxvo8z9zfKPIwA55HZVbO7aKQoird6NYRBhi8 ODF1HM/f6qxYw6ajDEh6o1eR8wb7w5IsgbQvAypDzXh7mvF5fzoJpfwZcOx4 WMiSBgqd0lApkgrAvzfbkln5gkKlt0oXS4Xgenk6T8armkItn0NbJMMYIGvK 3xT9GN/XUn6UZDgDQqpVo3xxfSlfevNdIpIB/3SZMZ3YP+t2X7guEc2AqabT pOkdClnLOttKxDLAeIUm/0oefh9nx57OT8DrzXI41n6RQhNRc9PF0xiwXkyb zI/G56ttNxTPwOdNXhktc4pCqoxsmngmAzxuT+Y6B1PIIUjNfV42vs8XlY33 juL340Xpzc3F72dYZEZ9N4Wyd5/6b1YJAy6F3f0rg+eF0jRBxqxSBiCbh0Gu 8jj/reLGs8oZ8C5k52CBDPZDJpdLxCoZUNfXmqyH5w/vrY9jRJ/h8ym/qrL9 RiID1Ul1XjsDvpQsLZwuJ5GDW2Uft4MBRvT9l+8XkSjwesR57jsG5LZKbPLN J9F9BUkm9wOu/6T1f/VzSCQnqdnOHmBA66/a7V9jSbTW7Hcse5ABlkQRZRtB op0JVQR7iAEazS2B/Xh+Os0zuckaZYCe3JCWjQ/Wwyn3IOYE7h+rmW+bHHF/ tTFc9WeSAXwTkxq7vSSqKVRtH/3DAG9X5pq5u0l03v2r+rtpvL7W9Vn9piRi PWvobhYygDF9fp2oMYk8le7G1NKZICv5drs1RaLtHYf/u89mgpSetKLHVhLd 0zZJyuUyYaPmoO06AsefuEbvgggTotmN1quwf4kYmjOULMaEeaYxpeRG3P93 fEuLms0E94WzJFLXk2jPleZtwXOZ4Hz7wrjYWhI9m7r33VucCc0NAz33NUmk YZN00U2CCUttzE1PqZMoq9BLsE+KCdljVoWnVpOIM9dscpcME3TvXTzyAM+f Xu6a1yhZJjitjOqdi/Wsq1bcjFjIhLdLl9hcWInvR2lseu1iJmjP37rYZgWJ CoJabqkoMCG8KNZjG9bDRR0PrBWVmGDad8l/3zISRWmfZUkvYYLKv1T3m9hP jSUcKxBbxoScHmuHpZj3Du3aR1/BhPq+YY/mJSR6sWOt2ORK3A1I1fO3MGtd kSz9qsKEU+4P+4sxX5wad/6kxgSbzRd3/MDMs3kj3rGGCaM9267Z4fW8C4sr GzWY4CfK653E/H5O2qGnWkyYGTJpfoLjId19F5Stxfn5oqz3GMdbWGtVm78e 759y+csAPo+8ko73tQ1MSJ4mEwnsB6ODZBQyNzHhDrup/RnOx8+3ky8TdZnw pWn/gSA1Eu3T7vCP0GcCnNzUar8Gx59QuiwQd7Nzf4/me2mQKHvHiVCX7Uyo ue1StWAdiUSu7FazM2BC3rui3nzsB45Pbew0I5mgOn/S2GsTiajCv1p6Rkzo me8a5g0kKprT1aNlwoQNdS1DBdtwfO6P4leaMsFtIu6zLPa744pBAxIWTFj3 KCPSwQT7qyC7syJWTNjxiRajh/1y/VtdEFrj8/2y/EBYkehSwvT5oT1MeHBx 29D9fdiPTIUYV+9nglYtPX/VUezHre3/lhxgQmg98660L4kUC4m8O65MCPbW mqcUiP3dQRo94xATtiYpxMbg93Tl7ckiz2NMSL/t1hqdhf1prUZPgg8TFjn3 xz6+gv1IUY/IPT8mTM2XThG5QaKSJD37b4G4vnPMRD/i99xA/RHxOs2ET34/ 59k3k+j3Iy/7o+eYcLT7RaYMh0L6txRik9OZ4Hsp3HxiFu6fGU1FBeeZ8JCy 6nslQaE5PmqiYxeZcE92Q7a3EoWWrBks8s7F7yV3+18dPN+YXLYXPf6QCa7U 7ipzTwqlJsxZl1rGhKRha/7S4xTqDHpsX/QIrzf/tc/bExRy3r2weLyKCR5f VMa7T1PoJr++R/IJE8w+SYWrxVJodN0J0XU1TDAuXKNkg/3Eiflv7X1eMOH4 /es2+ucpVEmLjD1XzwSra2+PTOB+y/q2tri4gQlXPwdciMihUMLLFNGJV7j+ nfafXYr9RFvZlnXSrUzw9nbV0rpHIdkb3+3Xv8H5WdsWPb+QQtdOmxT7djKB M/TkFL+cQkPe0z1pXUxgy261zMT6oO54R/Theya8kH+xpQLPi8d37ln3tocJ 0ubrgu88xf5HT9Rh8iMTykh5vjv2H0LVsliZPvyex9T+jGP92S7nVqwzwAQT Uu+z4UsKxfJkeq0HmTBd3hTuif1I80StqP8QE3y8tuvbYT2T7D++LuMrE3T+ uV6SxP7EtnWJQ+kofi/q5UR6C4UuVbfEdnzH+ZocLPmvlUJ9904W/x5jwt1T VQ/+YP+ikq3Ru+AXru+M/ZMdWC+PxPeIbpxkAi0gjn+yHet5QMK63X9wPg3n hY1h/uum53DiHxNKlZtPqWG/I3ikAj7TTFjs2tmggTlr9gLFo0Jcz7tSJliY v9qzaYfpLDgy3TL7Jv697oOxHjcmC9592rdsMeZ4Vm+VM5sFB8/nOjni/d9b NV5y4LLgTIHkkA+Ob83N8lA7ERZYy3pO2uL4Q/7l2duIsWB61ua6efh8Tcbn CIvZLFh7O+tG+isKKVwOVzCdy4KzWgMj35oo5DV2RGgozgLUojYhi/OHtu/t 4UuwINfxiro0zq94uqBqmxQLTK/tYPfj/Dt90blEyLBAspv8HYnvh5kw315n IQu+qxzzMMB+wKJXqK+9mAVLjm2VPID95DWtEXl1BRZoOk9u3P2IQgZvn39Y voQF91re5tRgP5q2qrhSeRkLdtN6XfUKKPQ5MCdbfgULAoK7ExLuUihaMXif tCoLVpgyXR5jf9vh7a4/fzULCo7ca7lwhUKraq3l56izwNm1RtYG12/9Qa0P bG0WpPM0V7mkYn9Y+Hnvr00sWPl9OG0qjEJ27Dd6P3RZ0HK1Ht4GUuiu9ZPF I/osqDl8XzsN+3OTqQvv+7ayYKOsdnLtIQol7TDf2ybA+Tp0+PAsS1xPHRV2 hbYs8FXwOGS7lEKLp5P3HA1gwTPXbfrJVbhffzIuSw/C+XIIM6eV4X75XESm MoQFild255x8gPtb8skW0VMsaGwN/1iN5xff5Uepa3EsqJUWbXI5g/uT2Oq8 +jMs8BvOs0iLwv3m+yDrRyILTjXpcvtP4nn3kQPSS2XBrSsjwn7c717tNNV5 e4EFf9ylWi86kejf2lnnprNZMGHF6hjF+r9c7sXYkissMJooZLtj/Q/qI/K9 rrPAfUFfyn9Y//Pq/oml57FgvAyp9RnheSr/4cHHN1mwP3JXoATW/1Un1JeJ 5rNg9kdvJgPrv8W+4XCN+yzoenFX+ak+icK25fVaPWBB/au+0hI8H95euV8/ uIgF2mKiUe83kKh9tsKFqyUsOKGkbbYB6z/957s/daUs+PLxX/tzbdxvO9Ks v5ezQOW90d14rP/Wj82LpR+zIOvIVEwU1v/wnDkSelUs2CFu9bEU6//dqHqv /dUssF8TTChhPevwiGyKecoCs1vdC6qx3jHNt6rdr2UBPSodZWA9XKMzE9P+ HNdT7+rkG9gP7F5U/nmqjgWTU2ld37F+nqb77ljSwAK1g2ceHcV8f0DzKtXE gh8mfj6qmLtejtC8XrEg2dlLXB4zp+DmvrQWFhxyms6lMGulHaioaGNBPMdD Ph/z3kAluf/aWXBgeWKYId4v2uG9n0gnfq8l79KVcDyFO86/Ue9igayhrbwG jveDiqW21XsWfJv9foEf9jMi88STg3pYMFO+e+wXPt/aXw2jOR9ZcNdR2+8O 1mv7d9FGdf+x4GmVpm4m1uvYqu23vvWz4CvpWlCJ5/fiazSe9CALQlLiLWSx fvfGVBzQHWJB0NDqOzexfosd8X/q9BXX25N5jCNYv9dbrFWKGWWBfqZjopse ic7I3+l+M8YCQVj/1V9Yv0uZbpumxlmg/mxxaBTW777BJRnKkyxYbxdrIzAk 0abCrF1H/rFg1TFvDftdWE/5cfU8Fht63bb05x0gkZOhg+IyDht8G53+i3fH /sZkne8WHhv6iUsxGUdI1GbZoxQwiw2G9s0t8gEkerJf+8SwJBtuehkJniRh /xTataJpGRseSHxOV3pKogWn7gcPrcDr75S4UFdHotTIiFaOChskr5c+D3uF 83FGPZRYw4YEFdlwqQ8k8s861X5/PRuUf73k3fyD6/ehasRZPhvEnauyxzUo 9Kqc1nWPYsN3f42UKjzvG1a+0WgwZINVpepwMJ73t9aGdrNM8X7cOKcmQzzv t7Zq+9qwof6zxb2EAxS6034jJsWWDZ25yoee4X6x4l1wT74dG5b8uObah+cP +Y8r4j47sIER+nGiAc8ns74FfrI5yIZ1nn/XLcf9KXrMdIPPITb86fB6dgDr MXNiWULyYTbo/Hg5HpqN9WSqeWP9UTa4/QpB+jco5Eu7njhwjA0Si0RRL56f fjAD+hm+bDAvdLK0wf1zUHRp8uYANnydF008xfOX85w/A9ZBbKgNskgswvrb I96kezyEDe4VTn2+uF/bSl1NSQpjQ37WXEKklkLtC/wH74Sz4T7V3+aO+73Z ImP9utNs8LBUPZOJ9aBBQTm1P5INNiJnnqdj/Xi6vIGQj2PDNTcZziTWH0FC j0D6DBuSYhuOaGD9evVrzHJOIs4/N9llM54/rfdyHDnJeP3vm3Vk3uF5v0bW YyaFDaLEiYSneF51VlvtN5HKBr0N5FsCz7PDZyF8NI0Nx5+OCuM+4Pnr364z AxlsaKyYuysPz7+/nVwzPmTieBSon8m9WP/qA662X8D5cC2UNsTzMlsrIb8p mw2sdT/prZjjz18pe3aZDS/nyhms+kSh+fTimsocNmzUz/lhjDnD7UVzyTU2 XNwZeB0wK7zqepefy4bCmMKrdMy5Ot/6c2/g+10ZFJOE11O7xPiRfQvXR6F9 +wje/wFHeirtDhtW+zVby2Le6LmKm5jPhnfLKwUSOF70Rnd+1H02vNgfn9eF z2egZ7o49AHe73z7O+9uCjVe27/Sr4gNtyOvMDtxfixm+WkfKcH1f2nflTmd FHp3LFbftZQNzPl/MiSwf3DsukjZl7PBNMivdRD7gcGtBRbWFWz4MFd2bQLW f89bNfY7K9kwPLcxn4X1P+jEsA/xhA1ZAvm5LvUUYnycCdOpYUPXnhdS5s8p FEPOj1d/xoYfdwO2itdgfZbZmKNQz4adL9QdxXD9LAo1uivTwAa1F5/ZJK6v qwP2pXOb2JBS0mVmW0yh+8WRTcLXbDB5uXIWC+v3y11tf3s62fB+oHbF6UwK mT/6zO7oYsN2z28O0eewniv/m/fqPRu4OmfbDiZRaOCH0gr0Eecv/fbIiwgK 0ZKO7Lr8hQ0+Ua8HZI5QKHIyfF/GMK7vm5tHlh2k0Gz7tINJI/h9mW5KldtP Ibk1j0PDfrDhn2SR9GMrCq1rEL3j8IcNG/amWovpUcidl8tSEuFAgsKrQTYX x8eIPrNNjANfo+Y+OyPEejR9UNplNgdmePLL5v8m0bcfq1feFufA6++II/sF 63lXseE6OQ5kGOT9snhJojdv0tusF3EgvdTkz2/cn9a/OrE3QJ4Dz0KKP9yo wPNBjd6RKmUOZB2v+roWz//B+bUplCoHNKyWOGqm4P5/I2+hx2oObDknW+Qe RyK4GnMtQZ0DtEMpnKrTJGJkGJe0anNAsCUmvsqPRJEn33Tu1eXAxbvDu3ba k9gvPXQK0+dARPm2J4lY30nf88M5wIErFwwif+N+LHZo7/Tn7RyYJTFdRWI9 T7LoV/Q25kCpy+a1YliPf5g8v5m6kwMGj0xMi7H+mlM3tR6acWBR1aqUFKy3 RdviHnXu4oBvaZHLNaxfUvqHt09ZcuCs9WjSMJ5PfTfsbJS34cAaz2nOQWWs x1qaVltsOfDJSlZdXoFEmSt+uUbu48AGxfrzWrLYnyi9/X7DgQN0es7QWWkS 2S0qO/HSiQNJZh5KGpIkqpTOYow6c6B1i7CaO59ECuLBcfNcObBRY4PvonnY b4jZS2of5EDNPfPMw3NI9Im95aLlIQ5EednUTc0i0TbakuX+hznQ8WKlbL0Y ia79Zd3LPMKBN1s0896Ikoj9a0Dn8VEOBF5cdVIRs8u3F6jnGAe2O9s73xLB 8/CXWxTDlwOpP0xfHcO8qi++Zak/B3r8WMrBmGM/eO7hB3Dg87s0q2eYv3aY 9h0M4sCTL4/LduL1jFu1DseHcGDzyZfxC/D++Y2SE/lhHDgZW1OghOOb+2Ii 5HU4Bw7eMk50n00irycd3PHTHDh2q+rtGD7P64ryJOkoDsgF7k0qx+fVenhB dmMMB5R/LLxbjfNxtiAkZ08cB/ZVDqtypfA8fdtBNeQMB0pWHFaLkyGRVe7W osuJuB6SqSdGciR6eHmp3tNknP9wf1/DxSRaKtweWH2WA2c8Vu4yUcT1sPdA WdU5vH7IYZ2IJSRyk8tdV3GeA1WXArzPYH/S5v/sWHkWBxglC2/uxf5jy9uB gtKLHNjx46epPfYbcqkr1hRfwfk7oh04jv1E5Bjfo/AqB7SStQ0iCRKNmbrd KriO31fKWeGO7SR6Ofvm8vybHNj6VVnCGM//QVEqCnkFuJ42/1CydSbRYL9g 7/VCDuxp6+oD7Bcstx/KulrMgcEkqTvGXtjP0e/IXC7jwNL8mR2tQSTqCVg9 73w1ByYfbuhySSfRVk8NetxrDlhx5H2Pvcb5bzAlYlo5MPWxKHtWJ4kWqh4N jnrDgZviki6FvTh/nwv+nOrE7zXu44ll30l03VF7LOgjBx4dmzzsOpdCPMv1 /3n+4EDmphHXPmM8rxZaKR3+yQHOWguRZDwPfBT3sz/0iwNuHgFGGnvx/Nr0 sMv1DwektEMr9T0odIjc2OZA5wL5wbrPMwb3u9zd8+2ZXHj1upcMxf1uOzvA dC+bC98L804fT8f99Ul5w24RLszTb1Pg4nmnabNurbk4F676J765guep2FKf fwYSXLBeuFc8Efdn/rp7mpuluNBBUslWuJ+jNcrZS2S5kJngI+aJ58Xg23va ZBZy4eYlv8JHWE82rTwnOmsxF7xsOFs/YD0qVOL5jStyYf2aFV8ufMHzYPaW u4PKXHhRVTe4fhTr28LA/7qXcsElWjb/8hjWP8nRnbUruXBL9L8TvX/xPJi8 IrJMhQuzUvY+K5rBejnHseKuGhf+uTmcsGAIUAa3bWWaBhfqd4ecG+cJkOXp 2faxWlzwT7rpOSYmwPrLPxeyFq//UvdR2RwBagoOe+m9ngtK2aIX+eICFPe3 jO66gQtiNQKFixICRPr91NmziQt63E0XSqUEiDWu5rlTlwsbQtIVMmUEqNrL 5do2fS74nSE+ELICFDJy6Z0OcOHU2Xclt+QEaJN75zy1rXj9pCXPOxYK0OTA fL7idi70i8bU1i8SoKL9RsGSBlywyIp3DV0sQF69EYU8kgtV3F6dScyr91Z9 maK4cH98ZIOmvAANdf5W+GHIheql38RWY8610rLqN+bC9GBX5RD+/v7WQ/Gd O7n4fTzWdMesaHr9SaMZF+79F1FyG+/X3fDhd/UuLvCL65zycTznqQXqJZZc aD76lO+N47V6ZnbgljUXPmgcip5cgPO1LS4rezcXVst/ohH4vM1VNa9T9nBh +M/dlXycj3jdGW7UXi7MtuNsmv+/fJXp6Afac2H3xblrL80TIPb6o8ePOHIh 4Hz+j5HZAvTkwa1b+/dzIfJPvBQN30eIel+v9QEucPtq1N5wBWjzncUyRq5c MJSkDhxmCdDvldbGcJALxutV79fRcL6uJ51ae4gLI5bZy4anKLTmEvP7oiNc ON22wiB4nEJDC/WWix/lgvmSPenfvlEoL8PXjn2MCzbtCa6rhimkmPLlxYgv Pt+0BfcX9kvv5ywRfvTnwrkJ9fkx2A9mxtmtaw/gwsor78s+43qWiGi+UhnC hfxP58/zcL2/oot0PAjjQot21OeGp9jfhWydkxfOhbixQ4scsF/h+BcHJEZy oWhBuPbkPewX3bN2OSRwQYHF2Sd6lkKJAVe5oUm4XjZ9VqmKpdDy2NuPLqZw IVRN/92OcApZ3ny0pCsNv8ftgVSLF/Z3n7t+Wl7igv5RcWKREYU8nBelGt7n gk/Sw0jraTx/Hl9Kuj/ggon/8FnVn1j/TqlNRRdxgdGg7z4+SKK6HF3nZ6Vc 8H40YebVhufzj3Zrt1RzgX73iITVbTyv7b3Ytr6FC4+u3XsrvodEfoevR1u2 ceFu9cd97mYkmhN8V/d4Oxeajku19eB5TO/C42sF77hwRkiNr8HzXua798fV /uPC2uI3jVfESaQ51L/SsB/XX/PeW2v+p29/RroPfuZCYvxE+VcaiSYXzGzP G+bCybmL1Tk/+MjCWl5KeZwLId3HaaOtfDTssrwOJnA9v0j+ur2Rj8J91wTb /+YCp+ZYfM8zPio4p99/YQq/5/jVQ33lfEReNzj/aIYLa5x0N1oU81FvkYnx OxoPRsNkts25z0dz2vYVy7B5MFKs4uiWy0fX/3M5uJ7Lg7yMyS2zc/hI96fn YksRHizue7CJmc1HbQy/18fEeJBxuCjFKJOPDs0PjUiZzYOUXi+5oTQ+YihH bSyYy4P81nkLP5zlo0zNxJFmcR7IRxs+XpXMR5pb0q+MSuD9nsW9bkzgoxem lyxnS/NgfkK1UkM8H7nX9FdyF/Bg0kotUT+Oj2ZvUFvJkOOB+glTI3osH92/ 7Z08tZAHdyWb7aRi+MhcoezvxGIe6Ha37AyM5qPxFOH+Hwo8GM71Oq2NOY1j 0DisxIOPUUt69TFvCIhfP7CEBxsU7lRnY+4aabnUu4wHTbtFA83xeiGOsiJd K3gwrf/9ty3eT/GNvfebVTygequ9y3A8T8jcrmZVHhwaNNhy+AwfOVd83V6/ mgeb9c4O+CbyEUdDO79GnQcvb8t8bsfnvXn1hEyVJg+GnNu5Cal8ZCSDwsq0 cbzCfSez0vloNJYzVLiOB7NrTn2bwflMmjHala/Dg91KikZlON/a3mcrbmzE +TtNO1qP76O9v3PZ1c08OP/7bo1WHh/571ZMvKjHg96rwQ3fb/ORXKPL73SC B4Mi6lf/9/eQj+GuY8oWHlydsnXwLMH3s3LT2qgdPGhe+u7E1id8dC0r7OJJ Pg8yu6dTb7/gI/7c55wgigcrj5VddGvmo/iJXZ1exjyQW24z0/Wej6RqD4fY WvLAuNh15OwMH5VuKPpsYc0DT9lIMppLIts7f0137ubB17dPD9Rjv5R9NmrJ 9r08eCB5m6a1lEQrna68WH0A14cdI8cT+436N581V7ryYOZsUNod7JcPU2uy lA/yYI39yNPVB0j0QOPRYZnDPPj3tVJ8HPsLXWHbfLoPDyrt93Ac7mG/7r0w 6J8vDx5N3L4bi/39yQHH/l/+PNiZ8CBkqI5EzxpHHw4F8YDs9m7b1k+inRd4 e9tO8+BYoOHuJfJYLzfq5uWl8oB5W+tEZRqexwmzhIY0fP5cl8TzeRSyM3Dx +ZHBgzONJ6/HllLIalfSts0XefB4te/jq1i/BYf7epqu86D9p32zjYIAaV2J XzBRgusptbh91g0Bupd3RShXxgMRl3HLtlIBUssvGSAe8cBLnNcYWidAyx/1 FsVU8eAJX+Ws75AAyb1Za7b4BQ9uqJ1aGKdiiBgi72O2d/Igzk4joPSyIQqd O+Z1sIsH112HPa3zDdGUFNcm4T0PzKtsa249MkQTyprLOz7i93pZqdf1jSE6 tspg9vR/PBBV945s/GiIvqvvGVca4MHhKL/ZH0YM0ZBuxJNDQzxwZyg9nGQZ IddtmTeTvvLgtkyIyfRcI9RH3UsqHsX1Z/vA87qcEfpg1blPOMaDJNZHxzdr jNCevaM7lv7igaH5QJnNBiPUsZ+5mprkwd8jd374bjFCLV6r/6X844F4/iax UHMjtNNv66eH0zw4lTKVst/WCDUEW9d1C3F9bR9o6nI0QtRpj/t0hgjQw9DX z25G6FnsyfTlLBEgywpWRhwxQtuS00IMOSIQuLNbutDHCKH02we8eCKQlSy6 60igEdLLRkbnREWgO7fDoSzMCJVfe6NdPksErnksrE2MMEI6t4fkeuaIwJPr pxx+xhihogIhnSUuAr/9EtkfzxghzVLJLyslRKBewyXVJtkI5VeuemUsJQKh PmuVbVONkGqt/kNvGRE4xXqj2J9mhG683JWdLisCd2MCLvzOMELLWtwiKhaK gHvQv4yzmUYopyPY4+NivN5u4wUlWUZILfJv6w/MyvQLzyswl2j7bWbIi8Cz 3ZKrnmJ+meAlugSzmL/VtleYx7fvv+GM2cb3VNIXzCFjPXN9MD9nPcn9hpl3 2c4vAjPrUveZX5gX/7M0yMUcxvfj0S8YIYMCsu/z/9b31RqTwvxqX63hb8xt +616FmK2nbW1kKcgAgm/Cs4pYj7iujl8FWbRuSv8VDBnLF6jeAhz7rLjz3Ux K7+8FRWI2XfXh2DAfMd/xbc4zOXratV2YK5uVay8g/lyQdaMEeahGAm7UcwV 4fLlezAf10l6OoN5vlJo9D7MM32zVOcqioCdZ9gDJ8wSwPmrjnn1EaVyN8zZ I+GOgBmcf392x7wyS/jCFPPustQkT8wPyCANR8zbAjblHsWsO/E7/ej/vn9l XPwY5mdXfYQnMdu29rf6YDY1G3NJwRxkfKDUH/O7Gc+mHMyZFR/0AzEfuDO8 rhCzs7vEgmDM33e7XXz6P55j9iUEcwC3n9WG+dTyWYtOYmYVO3r0Yd6z3ed9 OOYEpw+t45g756VqRmBeMG/PZraSCOTELVSIxJzz+G2OFOYE98rsKMxqhyxE l2NeGtoZFYP54YLXR9djDiIWUnGYtz4z7jTALOz7uTgec8OxerDGHLC12fUM 5t6mp3P9Mbe1Dm5NxOweBH7RmBXjarv/x+OrHn/IwCy17IZKMuaQtxsNbmLO ixVa/o95ESV3yzCf/KIT9j9O0dKWqsfsay8mSMG8qPde0DvMXpeiPf7HuWfU +oYwS8xc6fgfa26+afgP8///v3D0fxSjeHQ= "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesOrigin->{0, 0}, PlotRange-> NCache[{{0, Pi}, {-58.99386945356822, 58.993922942070455`}}, {{ 0, 3.141592653589793}, {-58.99386945356822, 58.993922942070455`}}], PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{ 3.443929816375*^9, 3.443930138234375*^9, {3.44393052078125*^9, 3.44393053265625*^9}, 3.44393517521875*^9, 3.4439354923125*^9, 3.44393554753125*^9, 3.44393563875*^9, 3.443935674875*^9, 3.44393571334375*^9, 3.44393590640625*^9, 3.443936206359375*^9}, FontSize->24] }, Open ]], Cell["\<\ Almost, but the mean term u=50 (which is picked up by considering zero as the \ value of the separation constant) needs to be included:\ \>", "Text", CellChangeTimes->{{3.443936232078125*^9, 3.44393625140625*^9}, { 3.443972015578125*^9, 3.443972087203125*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"50", "+", RowBox[{"soln", " ", "[", RowBox[{"1", ",", "\[CurlyPhi]"}], "]"}]}], ",", " ", RowBox[{"{", RowBox[{"\[CurlyPhi]", ",", "0", ",", "Pi"}], "}"}], ",", " ", RowBox[{"PlotStyle", " ", "\[Rule]", " ", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.44393051934375*^9, 3.443930526875*^9}, 3.443935490625*^9, {3.443935630015625*^9, 3.443935671703125*^9}, { 3.4439357093125*^9, 3.44393571265625*^9}, {3.443935892546875*^9, 3.4439359045625*^9}, {3.44393608796875*^9, 3.44393609571875*^9}, { 3.44393622434375*^9, 3.443936224921875*^9}}, FontSize->24], Cell[BoxData[ GraphicsBox[{{}, {}, {Hue[0.67, 0.6, 0.6], AbsoluteThickness[3], LineBox[CompressedData[" 1:eJwcWnk4lV8XVcYMZaokmZvMSahkn5CEJMS91xAqScqQoTJEJElCGSskZIiQ kMI1JJlnMoXMs2u4XMp3ft9fnvW873vOPmvvs9fa9yFi7WBwbSsdHV0lMx3d f3/pS1kb/hxzUpUZP696roGE9k+UnBR8cQH4woSiZTGmZcte/RV+GTY8ggaG 6kkoZwXaubKuw+VjmflXMB7htV3ND3eAZiRdlF1HQsF7qjmyvt6BgoLlstpa Eko5ZBZPl+UOCZL/zn6qISGy0rycYYIHHDW7V2T7k4S6Nf3Lk8MfgPdezW3T P/B+EuwSnuW+MG6Wf/5UFQk9lu9wTv7qB+P3jl00qyQh3hMJXxvyHsGs4Q8b 7XISenvajmE18zHspn+DmMkkJHNO4bzI+ydgpuKt86KYhL7q/4vQTngK5cz6 0nNFJNR+Ofzgm/DncILlENfuz/g8R2WU/3wPhSdriVbDOSTkrvSi1708DO4U tGzxzyIhBjDf//brCwiVrVhTfk9CNWrlP48VvgSd0x4H9d+RUJjmwds1eREQ cFjR5WQ8CQnqLeQvZkbB61aLJ6GRJDR80dg0MD0aSGh5aT2MhDIufd0UeB8D kUnGzKrPSEjZ/JGWZsIr0EkrZdH2IyED+z3d0eHxcDZjm2zULRJiV4bSyLMJ YHPZ+G7TdRKa/+LENfg9AZ4Lb1UZsyKh/OKOz67lb+Fw1buonEskpP494V/c 13dALpmt7ThJQuZtCqELme+ha4jt1EV6HC/F7FNk+EfIOir0RPoxET3bGatC 5sgGqjq8ivEmopacR0LHDLLhn1PyEIsbEZlOmo0I9mSDyD+689SrRHTblM2J Mp0De66/v4vUiegTdcXw+pFceDvXMLVwgohWXwwp9rrmwlhXH9MneSLyrfuy 8f1fLmgz7dC5IUpEL0/ZBsZw5sFoBn9X/VYi+vXL8Ob2S3lA7N/dKLpOQIJu oOcXkwcDdIZ7wxcJ6H3WLt5bop/hhOLhgO/DBFQk9D0eKeSDqPF2/7fVBPTv a/bDz3fzoVVwS/90GQGpE15fkyjOh/2VSnvNvhJQXegdSV7NAvj25ohKRhYB /d4iWjBmUggfapO4xKMISDyOI9bsdSGgGN389DACsj2x5tk8UAi8HOQLZsEE RHFuUvt64wtcUqdsPfOQgBR3fNsvl/UFDhZWz3l6EZBHxnuWZMoXuJf4dMef uwTEMOzdEOJRBKtmwpoqjgR0zscuh55cBBa932zl7AkoRMD45V2Gr0AYy6kx siWglsLT7jNaXyEy88iLtKsEtPuSNMn62Vc48e18oKwVAZkt8J3qbP4Ko/3b 2MfMCSjhGYOw7q5vAMECtk0kApKo6hk5Fv8NPC57ZStfIiAH6x/V6X++AZNU RX6hAQHl/cvNEDpUDJdCSwbt9AloNTYu5KV9MWR/nei8oEdAp5SCnLblFAOb YHPMdV0CetjqauS9XAy9ZzcmcrQJqMrBSmnxeAkIPtnsljlHQGzs5/ltvUvg ddAdq/6zBKSfqvy3t7wEBv7y2ZI1CShCQ3zgInMpSIWy57edIaDugR0VVTql kHU4VH0vxoJe68knQ0thSNrM6YUGAV3ZMxaY3VYKeakdt05h3Eaa+BzOToYm Ca4QPoxXDl0+WC9DhrbC7fbiGPNR26KZL5Lh0nbHs1YYn/yuzap2hwzT6vq9 9RhztqU0Kr0gw3hRKdEC7zc8tDVC+hMZUq36KLtxfF8WLEhirWSIzNjVsIZx CN1XoT2LZNg+e+MMgxaOZ8fuke08ZfBaM8RcEZ9XWfBOOsPRMlgOvyv6HPPB Id3oQDMoA9Hvhp3bMV9DJyWPzTuXwWwreph3noAKtB/TRsLLoHtg5t6DCwQU TPxT2pNbBjK0OzsdLhLQMfdX2j8oZWDDWS9VhPPFGkDdUcxdDhoyAb94CATU /9KwPVe+HOyyUrOe4/wG5rJZxjmXg0SNycnJywRkXnZ9/8vwcggwuKzxw5qA 5JsqJp/klsNImLBYxTUC6p3xcHWllMP8jVw6Xlxvsoeng3SdK4BTbaNoy31c n8pa+mrhFXDxkadaMa7fLs2kncq5FZBvbcgY6ovzf9UsQYxSAdU3qHvvPSGg jvi6zzSnSmDVu2+lEktAGVmHPObDKoHEdc04Jo6AfIr90WhOJdQoiasyvSOg wz0qtc0LlYA+Xw5m/UBAnrsyB1KdvoOI0T+2hBICEnv2jM3EqQo+XffS5x7B 9fhqokk3rApcDNpoExP4vqafiVTLqYKx19sFymYJyK36r7DMQhVUNl7gtFkl oBr624qMTj8gjtIR6cxGRI739aw+OVbDbTOx9nxZItK+rZLKEloNG9c/xE4d JSIxa4k584/V4Ejnb8ypTEQd55i8WGarYXWX8vJ+RESn9pREm9/8CbHtp37Z XyCiXRwffucG/YQ4a1l2NkMimqeLPcCS/hMky9V2vzAmoqRx17zccfw+JzHU wpyIWAulm5htauBZQ4RD8w0iGs7Yu9v8UQ1sfzK+J8ueiErit1nkJtUA49PJ DQcHInJ6PDJl9qcGvDtfX0l0wfF6tMrnbq0FY1+vLC53IhJ3KLvHLFoLaTL5 T67eI6Iu4zfMuZa1oA/0K5+8iChX+6kes08thHmkJH58QERPVe9FmMXXgtT3 jGfPfInoqvz13pySWpCoJamf9yMi1QOXxJj7a0GJS7J51p+I+PjV7cz+1oI9 fyGPcwARUTiO5OQI1MGHWDe9DqwHdVuEVplU6mA0doBX4AkRJS+zg5lpHdyd 5lRVCyIi7wnao5z7deBuLZ597ikREfrG65hi68BO6IvHkWAikm/u4DH7Uge+ Y1XHaRizf68k5XTVQe96X/y7Z0Q0Wpj7lmm1DlzEDGykQ4io9EPCuOnuekgd 7puMwjg6IUQ2R7EeLARJk0MYO7/0dGMyrod3W82o258TkW6gXbGpaz3YjZ+4 sRfjA54EhpyX9WC8ZN/AgjGdo6YOU149xEp/kuvE3/+6ohBu2loPgmO68QEY 55qI/sqm4PXvKYfsxjhYh1OYibsBn5+D8gTHZwP/bEyPNMDkha7NPhw/Ojqd ma3fAGaZM0M8GPMf7F5idGwADS7JKCl8/kX+6pOmzxtA0P2H6kHMT932/IfZ WQ1gk7kmx4j5S9ma9JOxoQFip10kqjC/PithnKYzDZB3YiPZDvNPmnxgks3e CP5WFw8t4vxwtJiOkHQa4YxB81IOzufo93NS2Xb4uUPE3DjON/mL0h3GoEZo em6Xwoj12uUtz5bs6kZIL9HYR8H1ohexRYtxvBG2X71zpALX08tK97OZ9E2w 51FQp4crEd0qvBayVawJ9k+tNqQ4ErFfuii8RaEJ/KSuHRm6hev9l0rupkYT RL6fa6a/iddf5+nYsGmCDasEg79Y/++rlu+jpjdBXG3vxUETIlJpzPy4/LUJ eAXlla8bEdHfyzGnl+qa4I/X9fxufXxeX8drC7NNMO54bjr4HBEFVApmTsk3 g6Lfhx8q2C9oXWKFSfVmkHHPn9ZSJKJto8tN40bNoPD9y3Nt7B+CmeuXRtya 4R81Pe2IBBG90PZQGShqBmP9DrasPUSU0NRZ26bWAgZvt1Vp4/5gbVVh3mrY AqEZLCcllnC/oWTNNV9tAY0jkqM75gkohSeApzGgBdTuDj1bGCOgTGMF0581 LZB5cHfH4S4Cuj0mNPOjpwU2f5juNm4jILm7bA+qplvAqPWXSGgT1tOYocSK 7a3ASfr8+MhP7Ed6QyeLDVpBouSjjBr2G563PD2/XWmFDU2PueUCrK//rm// 6tIKDGrUpyV5BEQWAvnCyFYQKSf3h2I/8jBbojL/fSu85HvT8CqDgDRO7zL+ XNgKKlUvXEtSCeiH9cy93O5W2Pnu35Au7q+Bi11sOVOtcMxzh1RRAgFp+1e+ +bjRCnuz73mexv24IflV2QfBNtiqX3otIYaAQhUfG2bItoE9Z7vgPex3Lv5w HklDbXBRgzh2KwLr7fi5be+t20DTetQlE/ufuZhDZ/yc2+D1ONl5ZyjWJx1m 38sP26CK6n4xKoSA9m+MfDsZ3gY9VczHjz4jIJRZubo7sQ2K7+b5TTwlIFOL dwpLOW2ACK8Si4Jw/97x0LGpDO9H3TROwXoSSrb88KG5DXRFSgQyA7GeOMF4 4GAb7LCIpDU8xn5DVFD82kIbhG46ENgxHmjduHx6SztUfNrReTWAgNb9e17t 42qHSZbWqq5HBLRLsahzTbgdQs2dHW0xPjIWzdMh1w7ctj8e8GCsG+1+IRe1 g9nez4rd/gR0/Zzx0xD9drC9eODDN4wf0hR+2Fm2g9qHRocijN9k8NCfdWyH LmWB5laMC80oqmI+7WC4w+I6C16vhaP5/ubzdpDlIwQSMJ4p+ZjfE98OFg8s yyswZnEMoRR8bIfZmhTKORyvqMgtmZel7SB0q5d5CuNTLTp2jo3tMK5N/paC z0fwk0jR/d0OJ97Zz3piPu4obBs6NNcO8/tY7t3CfIWMjO1j3GwH4Svvfrpj PtMiq4iD2zuAv8mp9hXmu/JsckSxYAesRV0S+oX96u9Vv+YYmQ6wuPj0iSzO Fy3NmsNNtQMENpPfxj3HfoBd+JGMRQcE9M/e+B6O66f4H5n1Nn6/UdPK8yUB Xb3dtzHq1QGplNfXtSMJKLYp1iX+TQfwaR5ik8D6/9n3XrZHZgdoWB3NOfGa gJrkCdMmxR1AJ0WJtMT1xxSx8ypnXwfout5cnEgkIBHNpfjpaby/5mtv3WQC UqG29FRv4PjpC9jK3xOQEzHU0FegEygh0kzD2C/07mNTp5h2QuTvtVoKvj/U hgnvhpudoJ5EZegrIiBun+qidI9OmGsYMWovJiCtoUfyV151gpO9y4WZCgL6 lEIn2tbdCQe+G6+/x/c1SHaFLp/YBQ6ttWuJUwR03/2c5KhdF2zds+Ox9RwB 3Sh9fWmXZxfkmf/MEMfzhtYF9XS3uC6QviiwI5NGQMwOoYZKf7pAjbEnKXcb Ea3k48621AXBfHzb7Tlwf/6nmBrF+AsOXuAjCnMRUVVI3wb14C+ge/Ik2ZWP iPyzJFIK7X/BVtP0O18O4H664tU07vULqrkPJMnifnZFtZnG9/wX1LzrcImR JiK1BvcL93J+QVB3Jb2GAhFtma1cPb7yC/JqONz7sV+ZP8YnZsfcDekmEmG/ 8Pw14HXzfCxfN1TL5CaVaWJ94OBOpJ3ohhOudDLGulivpS/rfH3QDW7BZ4K8 sH+57ZrrOhXaDXQZyTP1BCIyL2ZM2JvYDXKFylpMprifn/+w5FHZDaOHue2l LhORVMSm4If2bhg6seP0HisiEugzONc72o37FcOfKWsiWrdfe6OyrQc0vrlK nLYhosk83Wp7/h7wX7YbLb9ORN0b8ZTXkj0QfNli4xD2RzUaiwL1Kj1AsF+m OdsRUVGw5tm/53uAIeZfdgLWm/S2GCfpyz3wjzL2Iwf7pxiBmVfmjj1Qnmi7 LQXrU+BVVPXMtwfMvn9T9LpNRHc/vJgvDu+BRm2ashL2V7ZLo/yz73rAq7b9 RyvGJionzgh+7oFtvxrmDLDeafo/c9Cr6gHRJTmrPIwV6wZivDt7wGaXpPoq xgd4FSqzxnsg+g64CDoR0U6zx7P9az2QFmw1fQBjhqRuvh1svTC5s7uNC+Ol KWl1EOiF9sqCHb/x98NHfW85SPeCSZxbXQjGrR5tUfGqvUBZvXJQBOPyioPl jRd64XTJN71IHF8um8f0pmUvFD0SNZrF50k0bNgl59wLA7ctww9jHP5K5LSl Xy8ktciLa+HzP/zjcjP0JV6vIpCkjflxkqyOICf3gqVz4mM5zN/wtWGfhPxe KPVnqKfD/Bon0Nn7/MDx0L37mG9LRNXdAiaWXb1gHizoY4Dzc2LncTU00Qu6 uZtxbdeI6MOFS9LCtF7wnP7qdwrrvWCQEx8dWx/0i3jee4bzvXUzbbZUqg9a tCBn2ALX8/GqX/Gn+qCX6w1l2gzfhztDlQ/0+iBd31Sxn4TzPc7/Chz7YClI TtYb1194y9OzpZ/6QOH2m/OVuD4ZOFLl4yv7YFUP2e3XJiK3s5X7HrT3wS27 RD+Xs9gffdtYVKX2gc4JyoXfp4lINOVWQsmJfrivtf53/Rjm796FteKyfhg4 UXtlcy/2z3k3h9+09IN9VH5+LL5/kbOPG73+9ENkZUeI3E7sX66Qk08x/oaV p+rWF7bj+3b+iEGx1m/gZC5acqLD+RLmyfjW+BvGnxNa2PF8omkqG/l64DeY PD2yUjiI9SBCx9dz4TcYzh+/eaufgPQYyyXjtg1Ayp1aX0onnsfu07ZYSA7A TXq+Lr9aAroZFUitPzoAa/zWbYHVBJSUt2vmlMoApJ9wM3/9HevXnHzXvvMD IFCZzUQpxf36ys2svtsDwFqsUmz3mYAsuRbvfnMbgDTNj2winwjoe8l99Vfe A/DByyhhPBvr6Z6gLkLIANx9KOueifvnShXXO6XIATieIR6bkU5AZi4xt3bF DcAbyR8137CfONiYurUtcwCm+1sZ+XE/DvaUq8/9PACBrawNNthfUA4XRoUV D0D007NS1W+xPnWCteP3AbDZIHurYr9R4v9D6kL9AOilT+yswf1eXP4CVbp9 ANizdqjffENAT353lLH3DYBFAO2MKNYHoxOjxjXTA0BUmVttwX6kaOyWSNrS ALQ03BWrjyYgoYjlqccbA3BvaDd/P/Yn/mpe+TYMgxCZ6MfHhPHkHIPvGfZB oOZkwhmsR/pvgnXEeQfB2c6p8hX2L/navLvoBQZBZedb8jaMBVZfDQyKDcLk t5OXnmM9800WyyBLDkKl7r2XUhiPGmS4xh8dhKPs+18OvsD+gO4o8j45CJIm 2tZZGOdmFrGaqw+CyzUX9hcY85mqtZ/UGYTNFi7/5xh7s9TE8xsOgoB+bvc7 jP98vmi3RhqErLSPdE0Ya135pdBlPQj2QVwzPHi/LE6rzXy7QbALOxvkgDFv yfjPCOdBYNdkKBvC+N5Nx5cu9wfBe2/n/f/8WD/fqoXhw0HIvRr7Ygc+r0bV g8PyQYNwzO7ueDXG6XeYlzjDcbySjzRjMD+cIs9L5mIGwSHM6ZEP5tOtYdeT hreDsMskyckb893jEWeYmYb5MrvQEI71Gx0+IBicMwg1HruIxa+wH+7IHLf7 MghsZl9b/uJ8OR8p9jr0cxDIAjZ3SuMJqKtfQ4u5eRAGJO+tAK6HU8F13KNd g/CUViHXjvWdZazn/bvxQRinP6SpkoL988srzg/nB8F8RPUqB6631tNTKlar g+CmtFywkEZAca9pzYIsQxC6u+woJZOAjhns2Yg5OARiXtfHvudjv7GZUHVX dgiYLw9Nin0hILrMQ2EmSkMwtYOeGPbf73nMygd2nh0CNSVhrWgy9vvFxvqh NkMwPRhZoonvm3w+H/cehyEoEX4sfL6BgLZ+7G596z4E3euDhy2bCSgxwcLk U+AQ8Pk+WE/F93XIz8aiIx0/7ySOZA3j9bTd7AXmhkDFuDChfhOvp64sk0wd AqOICb0T9Lj/qdDmpOn+gECAPHMKE+7X0t53gOsP2Bkob3PHfmCIM+C+9dE/ UKaXxTTGT0TWnRGBqe5/oJ73Hj3Cei7fZKJ9xOcPPK99dldRCa/3cw97UeAf oFdxiRfE81Bi0ZvntTF/YJJnH30Z4Pn30+WLRol/IHWwsemeGu5XH0R4+tL/ QJaTwXWRM3i/N8mRs1//wOwIm8YJ3D9zI68T3Cv/QJAUw/F03F8fPj/MT1f/ BzSsS0hMF3D/9M18w9X/B8hdcuU+hnj+v+dwOXb0D8xTDva9uYT1yfmIiNjc H2At+NiRhOc766ufkxTohkGs85/ZbewP5M3dbYpZhkErZsucrDmO3/j4IU2u YRCsFr75C+tBi976RMOeYXAb9bluZ4nPc7Y4w0R0GO7Fid0fwv7BGT24NSAx DD70amqnr+DzHD8te+PoMJhL7bsWgPWGW55+YeHkMExf/RqWg/VoSOJ77n2N YeCceuVajv1FrthjF/rzw1DX3FNXiPXrocA5xeBLwxDuf9v4JdY3g51sq7wW w7Dq5dlthP2G6Pb6L29shoGOIryfhjGF6bnHAYdh6KL4sftjfSzf1D/10X0Y /OnEblAwDl/l3lTyGYa0A9/2ncF6emWhjUwOHAZdh/pdnhhb3g81KQwdBr51 UaNIjM3odWc/Rg9DoFqhXjTGxGDmR+8ThoF9sG/bQ4yNd1bsjU8dhsyHY/6G GBvEeedGZg9Dobl7HTvGFw6eOBdSOAyHxvxnMvH+utnLvx+Rh0FUJH9dEWOt 4zluXtXDcJCdmycVx3+m3J7DtQnHk1Z4YQvGajqHkuy78P6zbp1q+PyqbX9O XB0YBhXbjlZ7zM9J8/hm0/FhiCticnqA+VMeJdkazg/DAxk0dh/zq+Cwa1N7 dRg+dI7fvIz5l/F9JnWCZQQe/fqXOIzzJcF6ruII5wjkdS4PPsL5PPiCgXSY bwTIfRUaXNgfCid7POY7NAL7hurqx3B97JNREuSUw8+fPE0+ivWfv4CSx6w8 AhaS71huYr/J8/PG0MrZEfj3LntbnBERcRrsvzd7YQTqknQexBoQEXvPwI5R kxEQH6uQ8dcnIqYZk1Pt10egOcJktwiu51VOzehPj0dA+cWRrc/xfViK2SKb 8XwEFvtkd9Jjf7wgWvw9MWoEWGSNH9qewn5UQWEx7P0IrH6UK96mTER9BFE9 xx8j0G8rmZwvhfOf8I9emnkUyIoL/tq8RBQsV+CQEjAKB4yecChiva+R7xx1 DRkFRbUtcdJY71mOUc3PRI5CqEyuqFQP1qvjSrrDyaMQqUSIRe0E5KFWcEj0 +yhMsr4U/PUT+wWNzviFulGgXfXdx/8D67MmdVdZ2yhQfi1zX6/E/VZHidFy eBRMz79SOIj1386oYPAN/Rjk0hoF9bH+pxp3Em6xjYFtzpckOqz/owRqowrP GLw0ZXpUhvXfylyppEd0DBLtrLTcsP7HXTY5liGB368OFryJ9b/Xyv3Dffkx cPwhKO+M+zHBpiB2j9oY/NGqqi9MIqBI206uiXNjcFou/NAa7udtdtTAwotj sODuY3se93t9ByV3E6sxyFua5ziK9T7EyWT2wI0xSO8cPfAd60XdHfdrK45j 8KA1IsAe68nZuwWGET7/xetqsIH1yP9+Z83VwDHYkTyvPYL1qtyTelohdAxC bwy/H8Z6Rvdg9xf66DGwqNZ4R8P6p+qrJNcaPwbdL0ruHMTY08/kfeL7MbjS uFfnJtbLokfugs4fx8AufYdxFdbb1cdREacLxuDVUeuvyhgrBhWwc5WOQXgb Na4cz7cuwZ1+A1VjINcjue8qxrkhVNrHhjHcT9Yv7MN4PnS384MOHI+csfZs GAFJv1Ca0Osfg/KXdfydGNtFmFgKjo6BLjtj7X84Ncq9c2ZmDCSEtC/PYzwa E6VXvDwGywaJHcJ4PfHXBd+D/44BS/MRyRsYW8d1qpgxjoPF78MGPzFOSKB+ kuQYB8esyydP43j7E3dLrvOOwyFGs+b//INAslJijcA4+OtHrrnj85Lem+yJ FR8HTYnMCEXMR3Sae+gNqXFQ27/fhx3z15ERxXxcYRw4BTefr2HMk1XgzaIy DheWmKL+Yr71szuXO9XH4fYRHys+7AdCcqn273XGYSpEpuAc9gOsBUqmmqbj cK5/mHUO51Pri0nLziv4/WNlD6xxvgO+up8bscPxOv64PYX9wFZygZL//XHw eavvooL9YjoHd8rfh+PAV0p+KIn9pIGpPa/7U/x8NuuYPJ7v360IL9x4PQ5H Emef+v/3+5Z0UPqFknEI514ulcb1PX1/mO9n1TicVakfrcHz/stq1cdqjeMQ ahEm6oHn/ZEri1eODYxDHeM9KW6s9wGxZvv2bp2A2E2tBqY6ApIZz3/6knUC 0jfzGA83Yj6OcdE4eCZgY7T6EaEF+93m7x104hPA/aZGureLgKqZZUNHz0yA tPfbnZdH8fldt9DnPpkAj6SM8vCtWF/KTZ0kwydAts1LVRzrO4kz/3dS7ARc 9kmW+ozn/4wMu29RGRMw76NPbubE/Xqo1dWrfgJcKlg8ewVxP5KVGV5pn4At HQfU9UWJ6LVXoIFj/wRs0yOd/7afiGb4TslemZuApSb7tHu4/4RcSBnX4pqE cHM2Z6fjeB59Q2dSvmcSrMvklJ6rEFH/JOn7SdFJyNA/4xGH/YBswI5EmaOT 4HRYwjgE639X6w3O1JOTsP2XltUtLSLyEan0FtGYhJqnJm0ndIio6dtdU95L k/BQYokpDvfTu6ytP5+ZT0LXXS8zeaz/wgRpZWabSWBx/XwmF+u/4+IgL81t EvIOTx51xv2b77SK350Hk/BEh30lG8935JDIhenHk8DX87KqC+s9l4ROw+/o SbD453tuEM+Ho8zxXNUJk3DEyDjiLdaTohGKUXbqJLSBM6su1p/nFZrR0dmT YBSapj6A9enq29gen0J83tjqAXOsZ8cfzAreIE9CYF39o0qsf9vN1awvVk+C zzmjXh487xbyTY6LdE2C4Mao6U08Hz9bOSXFOjAJTEu/5p3xPG3dFuZAGZsE zquGO6z/m+9zR3K75ybhBqvafWU8r7OFHl8pp04CmbCLtozxwK1nxzM2J6G6 McQs1pmI8nQGPV8wTwHvCo/r/jtE9OTwMbLHjikouQsCURhbMD+hv7p7ClYH LOTmMD460qupKzQFvYcMIqRdiIilQi5I4eAU1Bb5KRhg3JfgXy8gOwURHBx/ zTDO9e7iZFSaAre/r/+cx/ixmZTRjOoUhLqmDIljbHbCJ6pdcwr2qYrQBvH6 cnxt3cV6UxA5Oiv7CGPGlYOCKcZTULDj2vPtGHe3eliFWEwB8i897I3jz8pp THKzmQJL+oqdbfh8fs/Fxi1uT8HOymEHTowJt9wlz7pNQTnVhHQU8yOtU3tb 1nsK/kW0b6hg/rYeFsrdHTAFu/Ry/aUxv51Md5Y3n01Bli/DfsZbRPRhuEp5 PGIKSLsP76rE/sW3nN+z6c0UqASIRtr9//eG26WFyZiPQLfxVexH6Mx2aT75 PAW2qFiqAfuN9uN2T5yKp+CF7SXyTlwf6btL6ojfp0D5yLMbmrh+DFuvGUq0 4/MXqdy7iuvrUM6XSO6+KeB79i7dANffRghHN214Ch6OnHosieszRfuzZe3S FPyJVdoej+uXVsZw2553Gv5efjMRi+u/MZ6QYyQwDVd1kiam8P1I8vqwpCI+ DUKfExIlNYlI77iRB4fCNAzUlEbew/7hbfa7wCzDaUiSv0O2xH5dK17t3Xz4 NDAz7u2Y34PzVd3U9/DVNPgzbe6U20VEVQsWfDuTpoG87W3XdW7szzQ8nh3/ PA1l/c3VlazYn018cn/YOQ3Df/8sXFgnIJWj+3V5BWYgyi+r4Wkv9gtmnwJS xGdgu3qVXU3Xf/p2ukxZegZWL/z24sJ+4niXuaK56gw0WKwuf6vH+uYVKZxi OQOJdHxSSdgvuKaImyrfmAH9mfLA098IKK8xN6LGaQZsLh5Zni0koKOijaxz D2dg5tyLZ165BCT3g3lZKXkGtlQ3f/fF85rDfIRsTeYM2FvuKi/A/Txrj7id Wf4M+PgPeTBg/Ze2R799fszAIZEaoRGs7/YRDXt4mmag49sV9/tYTz6UmBkl d80AxfPA9cNYbyS47v38OTEDSc9KUzqw3t04wcxgRpkBdS4Z+Y5QrJ9XIlRn aTOgyBhRtxBCQOPBYvd86GdBdbZ8q8Qz3K/zcz5xs8/C7JQt6cFTArL5DbNJ vLNAE2QzoDzB8ypLwyGlfbOwUFRq6ReI9eGI2ZWf+2fBU0FoRf4x1l/TyTem MrPwc4/4/S0BBHTF/27XjOIsdOzaen7OH89/mUw8PjALW1Q5f2z44fmv4+V5 bq1ZIEVlKUtgLEInFpikj+P5IDHp/pCALA/nlCsSZ8FG/N3eUV+s3wbwt9pq Fu7Tb2V0xfi3R72Sqd0s1O3sbxfHWDDZ1HnGeRbmv9p9XvYhIPOGiQ8PPGYh /7B9+RjGr6nuY1z+s2ChdYhnHeMeYSbRpOBZ6I+2+iyLv+fXfmmmGDELrknn sh5hTLwjGlX9ZhbUijxpGxhHv85uJqXMQkX65rMIHF/Xd1X2maxZiDI+anQB x797rk7zQQH+/uuErAQ+b3RYqdVE6SyMOCnvFHlEQHwKuZ6G1bPQ/XwqWAnz E92RFFXcNAujZ9Wv3ML88d2Lyj34axYMWmPMyjG/0XuD6sMGZ6H1it0xxSAC 2lPiOb4+gfmoNEusxvnhp7cWbKLNwssGz+Gzz/H8nmx0/AT9HNyQstk4iv3R Xq2zRklscyB8gVPm1H/+5plU0F2BOdhvc4ErGdfLa1mh5CHxOdCWG/u5FfuR fS1cZF3pOXA8cyvdA/sRwd3UZWHVOWheGkj8husx7ssE51PNOVBNIj7xw/5V yKxXcllvDsp9RI5dwX5D+G2Z1c/Lc/Dg0KCcXSYBiUoG1zv5zkGBTm7aQ+wn Euu9x3uezEFLhmn3ejEBiTk60WuGz4He9W89j8tw/Xw2Ps7/bg50A2yn26oJ 6ACIJJdXzsG+Z+seEvh+pgzykKXq50DhfX6ICL6/B/yZeiLb8f4tEUfFB3D9 /pzivDk6B/z+Iue0xrGfOWxaso1hHr69ZgudW8V++9N+idz985C70yO6hZ+I OhjilcYOz0PY1kRtFiEi2mXMd0ZAZh5oXjWLymJEFLXKahmgiN+3l5oKkCSi 6FPzEaSz87DW2TRRcJKIYn8UbaG/MQ9xYvrHA4lEND+QfW/Ofh4ONO2SLsD9 8iwtZaHHcR66EENrK57XlqReDObdnQfrjraLrbgfa2s+Ib71nAddjSPlebhf v738oPmZzzw4+q/y+OL+rhd+s8wmcB46RkryO7FeJGVYHTcMngc3xS1kS6w/ 65UmORCK19/xcG+LKxGlUtXf8kXPw3f5K/Y37xPRP84Texhfz0OgRgiEexLR JQm5sIX4eViJahKO98Z6Yy7gW/N+HqagYcuNh1if3LjX8jPmIWCL+Lb9/kT0 8TmL07uP86Dvs1Xm+yM8D6b9G3/+aR5sDqhuPfcY62X5kqVnwTxIPvTYlx2I 9bVnssv26zz0m5zdR3tCRNuWB/QvleLzmsknH3iK5/ftndWnK+ZhWXPM4lgw EeUfrEcyP+aBWV2Ntv8Znj9PVxTy186DX/w16VWMr5C+yDE3zsPNpsa8jBDs Z+58TF1smYcT5vaG6DmeX58lCw90zEPMekrLZ4yvp7yKruuehzaJ+1vZQ4mo pDSM80v/PJSd8vmihjHvr8eByUPzICi42UbE+CbFiy58dB6M3ZaVL2JczuZy 13tyHqLl9zcdwphvv9283ew88LHtCx7A6zuoWtqaUOYhyA9du4txlYnxgPrK PHRbNJDmcXwCTroEOdo8KNeNOGthfCdIrUng3zx4yQUV+eDz1LxT1tq2dQG0 VpPPxODzCxfLkJcZFyBAnFU2HPPj1iGuPLRtAcJyb0ffDCKi+jn+7AaOBaCe c0zfj/kU38Z16CvXAlhsBL8kY/7vizInvN+5ACyHBJ+pBGC/efLv7pd7FqB4 j2FzDM7fwUuLz332LUD6yKHkLpzftse/HxD3L8CHp67SGzj/Em/bqWcOL4D4 75Cng7g+fItqHeSlF8Dm3Z26NFw/MjMFl9mOLcBWa6/wYVxf/kxZnVTlBaga Ll42wfXXI5R0YVhlAbIe9VA/4voMNAiFYo0FyPx+q3sHrt/+mwEFaVoLIH9a uJYP1/exR56ykboLUECh3Wf57/elAlshB6MFaPt96H4c9hsq+05vCl9dAPXn bYP52C9rmbU5W9suAOfB9qZ8XSIyenV99J39Ajg+lLeOx37i5p6Q+gOuC/D6 ipyhDPYPsTt7XkkFLEDwkcsiljJEtMrhqqycugA/zd3E2ViIiOE8y4d7H/D7 7gb7dtHj+gl+JfQ1G6+/5xJ57z/cP1jLmVS/YD6eULcLLBGQMdOOdvWaBQgy LHrAO/Df//OlOl2YXoBYvSt7Gb8QEPmUykjo/ALcDLI8bpSH53HPRkLL0n/P b93N/UhAf2jLcOnvAjC5jBq8xXrPTVXbbrqdAumfJ17Y4XlSULHD9zU3BTrc t40Y4X4t4XpjuW8XBcIOkqdMsB6fXnzeaylEgZrCT88/YP1wnOtNt5GjYP12 kshyx/O5jKNgqgIFGLnG1DxdCCjwFn34hDIFXnL7XL7pREDxU4fv2Z+mgIWl lU72TTwvShRPZ56hgN2NO93MNwgo/4a+5dw5Ctwx/jbtZ0NADWNuZ50NKNDK w0uetiKg7gOsXz8ZU2A0Zulv92Ws99feyCyTKLCLqFo4b47n9yS5RMXLFLBX S4iUMSOgjT8VO+9eoYCgk6FSBImAWMRMnny5ToGSuAmZ/UQC4rWe3KDdxPHt F2T5bfKfXng5qjhSQLgmVb3CmIAkBziHvVwoQEY8hJZLBKQ3JlzudpcC2tdO POTD2HFWLsHBkwIC7q5Z/kYEFL6MvG19KLA2fEd8N8Z5G/pmVv4UuFpVItZk iOdReqsTpEAKSH1P/PMR41VWJz7DYAoQW/a+yMeYn9t3RSeUAnnvywnDGKvs CWvTeEmBoYKvBsfxehbCb3NPRVNgRCk18jPGPgdzQhVfU8DsRfQRIo4nUabs tmwCBSgrdIfEcfyVx5p1DyVRIF//o+sufL5RlUEJkVQKGAZUcMgRMB8aCyz8 HyjgxpvW7Yj5kNDZMsadTQGWZu6SLsyXrgHXd7Y8jK1XQ69jPm8TRd4xFFLA 4FGE2D4LAgq1POL79ysFJk1vnlrD+ci9fvrySikF2q6qv1nH+Wq7ffHUXAUF Zv0V1sSuEtCKq9Xe8R8U4CtK++eE88vn5bQ2UEsBuWE7gxFbAjJ7Gva5pZUC Pzu3nD9xm4C8w9++qO2kQNxQPPdeXD8JMTlOlT0U6BpQviqE62v4fbN0/h8K JHL4BYfex360kislZhHXk1+NHsN//y9RK+IfTsX775pmXwgmoOyWI9ZP1ymw aqJ7dgP7z6WBi4Je9IvQJDTLexP7V8+/YZGWPIug/1i0KDyDgIIVuR8fPLoI 1yt9FI63YT98SvSasNIiID+1E4m/CKhJQ159z8lFkOk6rMv/G9eTocEmq/oi 5GrzL8pPYj/jEO4+a4DXu/16bZiOiDJTuW0/Oy9C9Bp5l6Is7l/tpafp3Rch tOHH8t1jWL+23tp70WMRlm4QRz9jPWc1+9Ew7bcI7TJR53fj/mKzw/OYeMQi zO3wdjlnSUSnVA7vcI5ZhDoq8yEZPE/z3ugYL32zCP6c1+I3cb+rKJd7bZqy CBYrCYbW7ri/u41sfVGwCCoXidNruN9TE8N7B74uQukTvp+7w4mooRHyZciL oGhr831nFBF5HY69UVO9CP1JBZIfEnC/Mz6rzle/CF2zeZmnk4lIym9JwKYZ r/9uq09OGp4/e/WatnTjeMOeR/LnElHOto20C/2L0HuuUJYrH/djxTS/N0OL MJ/7o6L3CxEphdIrHZ9ahG9qtuMzZDzfF2dzPp5bhLtb6XcfqSSi0QnzybbF RbAVOO+l8YOIXqoXvnHcWASW/Kq4zjrcbx2vuZfQLYFEyh3dS414vnrDfZGd cQkWHRx2xzcTEX9NqQRp2xI0T67uzGslooUVe4ZUjiVYdXKxe9FORNVi/P3L XEtQ/emzukonESXo/yhQ37UEW0Y0+zK7iMjdyyUsjH8JSCcyH4z9wv4nXeTm b8EliElI9xnvJqL9nQ0a0mJLUPTcUz27B8+j9J6CHgeXwOTf7uOqvVjf5A6v VksuwbSW9UAYxhnmHc275JYgn+N6VTrGD4P8Mq4qLGE/FRQQiDGpQO5RrvIS rIwX1UhgfGS4z4Lu1BKQKdE6YXh9Fq6nynqnl6AtPKnpK97/9yll7tdnlkAt xVIuHceXbzcyNXFuCbhdXfXNcPwhUeHflfSWQNu2cX9LBxFdq4T4RwZLYCRV lMeGz6+yMH231XgJHuqscm7D/PAKxhqImGL+Dnaa1zQR0ZT2WSmHy0twyBga LjRgP+K+xFh8ZQmyNcqSYmqJKCbp7W9W2yVwkY87mlpNRI7Nel8I9nj/a/W9 Ht+JSEgyzX7JZQk2q8KNXEqIaMXEWFPt3hL01scfiy3C9eZPLxzqtQSOeb2X HuP68Ow3b5UMWILy1VTxokzsT8+eenMtaAm8q3p+78b1ZZ8jcD0+BPO18fbP 6SQiMvXvoXFHLcG3ozmX/sUQ0QkJoijt/RJsD7X/o+CH/d8L5emjH5aA38rS m9ML+4u/u/NvZS/BtjH2cbIbro+mjnODhUug/5Rgk3yDiNZcjZyqfy5h/3vS I+k8Ps/voye3NiyBquuD1+c1iWhci4dRpWUJ1lTZNDpViahrb0v0x24cH+v+ X+H4PheWXSBHTi2BdGukQu8O7J84dHZc41iGpfa4j+Z4Xp91k/gVx7UMP778 kp6qxPPswLZ3XTuXwVgwecwdz+vGn6oVdQWXgbvkwZso3H+OETUtjsouw68t syVSeN76UL7/0K2jy1Dy4kjSPJ7/xKUYKSlKy2DHESjz/R7uP5sVj/jRMtDP n2FIw3q6lHQ6c8vFZRAYea4fo43743YR95OXliGaafeSkDrun+50p12JeH+t r2XVJwmoVbu0bdxqGW7Xldg/kSYg7by4OFGbZah+kPY4+QABle/ztjWzW4au jC+a00K438+rbDQ6L4P8zsm5LTxYP0gCVdvcl0GOYXa8jR3rUcX6c3WPZdAp bEnsZsL6GFkkVuC3DGOiHmIB6yaIlS52Zv7xMiQNFn+RXTFBD2/cK5AIXgZt p19ZPAsmyElFWSfu5TK8brszGTZmguhuv3zwPHoZzE82LN/9Y4JC4uc/+bxe BtGdcbXRv02QQLPuuFPCMhyJ4yqj9Jig9K1pAleSlqGPbl0ksMsEKSswXjRK XQYN2n05UrsJqrpm9ejMh2WwKfwgbtdigoyiir8oZi/D5KaB1JdGEzRUvWf2 YN4yrH4IsNOqN0GONFfRPYXLIPHGhspXa4L+SbYYs37D3+/8+VvypwkKNpd5 ul66DOHZs+IPf5igvc+DSqcrluHLpOI3gSocD3l0se/HMhRe6gjZqMTxUNQO NdYuw97HIfdEMa4SizcjNy6DctN13ecVOJ5L66E5rctQXmdfo47xUIDJ98TO ZRjpup6GMHYs/LT2omcZijwSwwIw/jexQ+bR72X415aybxdeL3ivvbXbn2Vg 30vfPYcx//nqyOtjy5CttOMML44n1Vu8ljC1DMTneQ1+OF7FbJ/Nc3N4/y3K Xar4PN8He4+eXMRYkinvDD6vEc9xWynqMuT9802OxnwMaUS83re+DC457QNK TTget4Wm7ZvLwLyrKkisFcfz/jwjHf0KNNoEFpp24Hh+pR1fYFoB8rNYh4Ff OB42pttDrCvwevFNck4f3v92SUcl9wrYOg3xHh81QZXx/Gz5u1bAW3VmfHbS BBk0u8F7/hVYj9Fwmp8zQbcVZFOfiK6ARoKRcDvNBG1ce9p7/8AKZMjcsiig I6CgqDFOe4kVeF/n8OAPrr/3tPh7evIrIPrw9eAuXgJSlNrIBMUVKDoXkyew F/slc8KQ3IkV0OzZE3JDlIAGyJw6PGorwPkyubTtCPYrj30Fui6uwMaubZfb sD9LKezT/3lpBSzfmQiuYH+kMHn8URERxzNwk9kY+xv985SZ11YrIPUoKrMG 388nPFdKrZxWILzovYDZOwKixWtYT4WuQKBkFzF8k4BUqafCj0SsgPJNVt52 djz/6CmVu8eswKNT2/NO8eP+//ewKEPiCkTSViJdsF/YSdoxJPBpBbTVxd8I 3yIiOd5uK732FVjJKuu414/nvZutYS9/rcDgbfgeMo31obyurLtvBQ54BhwM p2H/4FQqcn10Bcar/7012kVC2g1Jgw+oK8C1vnuRoEtCIfvjuKrWV2Cr8T99 ZyIJNXtGnWanowJ79DZ6kg0JESSD3kazUOFEL12P3wMSuhboYJWzhwqShW79 dVkklPrbNoy6jwrz91sDh7+Q0LSiddkpUSp0mszIp1WSkPOIkUiNBBWYIbLp 0C8SylfRu8gpS4U9i9a3e4ZIaO3FWV/jo1TQ4Z+ykpgmIR+1E4NDJ6nAMBj4 PfgvCVXEHOU6jKigT/u3GcVoipgWpE47aFDB6LrbAVkOU6StdcDpsxYVfh44 JaPHa4qexQu9XdelQnK7I+8CvylqWuFrPn2RCs485H4eEVPEq8e9JfASFfap Sb7OPWCKTJLZjjQQqRDhUXntp6Qpit1gsOK1oEJ21O3LRnKmqN/wXyjJmgqJ Aq8KLyiYIpEMKjnBhgqFS0yZBUqm6OrWhflROyrQV7o+CjxhilKJk8LSDlRo LbwZXaJiiqay/+jfuUMFodwRbWNVUyTD0ufzxZ0Kh6J2cOmCKXK+3JG96UGF xa+rt19j/Dm/ceCMDxXuymiuqWO8yvGTM9gf71c9dAnw9yrXylFLIBUuDn9Q eYrXf/DtqyPfMyrcCRa5K473L+f5nGARRoWXbIyjzDg+pptZTUkRVHify3JX /qgpOlf+nm4qhgrChbcU3sqYouA9b+WOxFHhNkey4sXDmC/HWEv3RCrIsE5/ BDFTJBHKue6SguN13i8wLGCK/D4GRDinU+Hb9Y96PTtNUW/DhqxjFhXyBz8r iG03RYqzzjW3cjGfz9Lqv+B8hXJMXL2ZT4X4oUTJNxskNCl1edO2iAq05PI7 tRQSenNTR+FqORVsPhsUbukjoZWgsgarKipEPb5lxdRMQvrpSjcu12D+f+fo XcD1xDAhFkdqocLkHr4jqakkZMESq0zooMJx7uG7n2NIqOAgZ+ulbpxvpcr0 LUEkZGezwXxxiAohn6ytDGxJqPKRc6LeKBXuicuNGxmT0L7kcRXdSSr08mWa h6uTUNOfNqezFCp8vnaS5+teEpKg12E/s0KF+r1h7MlMJOQvWpaiRsP5MfK9 /mMe+1urzJ5TW1dBZ22h4FM5EYX6iLmdZFqF23nbxb3SiWgyPobzOOsqRH7W +O0VRkRx/Y/OKHCvgt3OzuP7zYmIwczio4ToKvhoXI/knMLzn0fbuUMHVuF4 asp4dB0BFcRqD++XWAU3HoElUiYB2f1S3CMivwpKJZ2qz+0JqNl4h99utVXI HA451TpogiTcHu3bqbkKF+/qa6oXmyD/iPUCbu1VcBncF7kchfWobWyaw2AV ml2zhQ7qmKC4i2RjButVyI8PSJxJNUarjooLW2xW4eGxI1vivY2RQeiHp5s3 ViHQq0DxraExYmyMJtOcVmE1+ej+t+uXkL2uk8SCL46n6svvFvVL6PhZ0X99 bzEfP3Q6rAoMkcK7msAfyasgJGn/1srfEMlsOvPkpK0C6dvRgmF9QyRaUHHI P2cVmJwCp3zHDRDbwWuGEmWr4HrEesCd2wD1MaWmug2sQlVmm/h9I33kWyVt uENoDbz3so+8IpxDnqIdfauia6ARuZ+HOqiF3Ly9bYcOrIEj1157o5tayE6x 0euzzBpEXz7ao+R9FhmmOKaaqq7BRG1kTWjyGbQ/4NPf9+ZrUHa7nnd+ixr6 eeZ4Knq9Bg4CXycnDBXR3R/eMg8S1iDgl2v3O9dj6NC5yrzipDXY2qnXmROj gAJ0L5SdyFwDoTlHe9YJeaRheK1boWQN7N8qmH3RlUVLbemWd8rXgO6S8cGm Qmn0znh+NKdqDZQ5/lz0kpBCW0keizKNa8Ar8KBpq9BhRLYMYz88sAbsXJuL 1hfEkONQR/j14TWoFg2idE+KIKGrAntSxtdgesWuKzFYGHlff79fbGENBjQs hHqr9iKV28Wq+7bSQL9N7mJ8KReantv63ZQJ4x0RezJKtqNXTlo6saw0oDs9 9MxgDyuiubSa7OahgXD/BRZmkS2owGPCkUscP9enO1UV8BFs/spQLxzCuK7G 30+sp3TXAxevECmMJ+ltqOnTpS4PN5+wHaOB5fM3lIbKjVJxhjOc2sdpQC5v 3Z3buoXc+igoMvAUDdB5v8uvDjGS5Z/sfMeoSYMmh/rEi15s5CFW08Ma2vh7 rsb9Ul7byWHBCR8f6tEgtJVZ0jKbkzz/XPLbpjEN5O7cup15g4ecwOWkpmqK 1zseHaWZw0u+8CK/2vMyDQIF0dPxyZ3krMjT7WvXacBiqC73WIGPbMH32FTZ ngarDMyvUjX2kDli6wbdHGnA6VioLHCWn/xtL57XXfD7T+91rZ7cS7Z/YzK7 eJcG1Ra3mUzEBMgCQm9c5L0wf05PGC/+FSDXJgzRHH1p4LPJ+XNrzT6yRNIt 5tknmL9TxE+MKkLk7v2fnkmF4Hivyi5FDgqRn7xf5bkZToOE1Ws75E4Jk5UP q8amRdLAdtePSDU/YfJ4up/weCwNVFSsGndWCJOjpH6mHIjH65vKKhZvCJM1 s7ZLX3tHAxdq2ZbzciLkFVmjT+/e0yDa+c++bnMRcnJOzPGhDIyLhQ/efyRC tls3lej6iPfrv/dVNlmELHdGcG/DJxzfGEF2qBR/HzLAVllAgzwVFJfULkL+ 1pW48eUrjufp3KugURHyQ9FrMx9LacDrNiKXShEha9kf7E+uoMG37JYOLpoI eXv+RMOrHzTQEtt06d0QIbduZpSG1dKAIf+t2b51EXL0udvZjxtp0HtD8szk kgjZ4oXcW69WGsxbBWgRJ0XI4n2UsDudeD+/c799ekTIkwc+P7zRQ4OrRoO9 7tUi5GxH9zuXf9PAvzzr5qUcEbJb0fGrl/7QoNBDYNuRSBGyCsOGkc4Yxv4Z vqLuIuQteiVnTk/RYKCIOn3aSIRcFeWjqDSH15/JS3svLUIOHlQ7KL2I86ua TLSnFyEbSDLyiVFpMO7+pC+1XZjM5/qDZc86DabZ2C+6JQmT+0uerG3fxHxe ec806yBMTmLRnWSgX4emE4F+h5WFybKvm2rnWdch+8mWmGRvIfLSSPi30e3r 4FPjtDK+IUgukr2U2cu9DuRkYzM/V0GyZsWvkGr+dZAb+hDz3Hgf2Xxy6GKC xDpYPhIlN/bxk0UVktUiZdZxP/C98UKBnzzudf1osPw6CAsePGn8eA/ZhWua 9+4JvH+k25ksET7yU+Xlzgva68Ay5JHoKruT/CWA2WLzxjroHz4+YFPEQd4p JmVnkYbjuftWNK2urzQ0/KlxWuY60Akxkgp1mkpZt06pLeVgvCrn3O77vpRu MG1vUBF+v+DM6RDtTpiOO1j/uRY/7/Fnl7akwPXtj7/QNa1DwsDswhc8Nw55 jSbrtOHz8dEx+RitQpdZsvdgL36fOn3Rhu0fVPKLyXHMYlx6rbHWhAFB0EMB AgWfd/PK6aEIRlS0NsjybgWvd+Df2+AaJpTdlTCovInf38Yh17hrG5LUomvw o9+AAUp3BrMMK0opuFzUwLwBlpmahbwn2dDrSMEXVzk3AD10dOVQ5EC7mbwf fOTFuBE2s8W2o3DXvps0vg3Qt1ati2bagQKNXmuEimxA1/uDaUOXOBF95bpc z/4N8EkU+Dqdz4m8j5ruOyCxAeQZQxNbbi7kws2/8lV+AxJoPOkvCrnQnO+9 ISalDThkcOybIj03slvoarh4cgPkzuuyyWtxoxFL5a+vYQNCVS53PXzMjSyb ot6PqeP1Fh/VHyzjRj1AfSGvhfdXz6UJL3Mj44/GPl66G5Cdd7TFQYwHNQvm 21frb4BwGFV8ty4P0g3ZSeS5tAF0VwME9zrwoB9/Xc5YEDeAIExGvsE8SO1W 25E0c/xcgnBZP4kHFfceFVyywucN4n4Vms+DlHVfsIIN5ut9hZlOBQ/69JWy 8sQO79fLo/+0hgfJSBr8abu9AY5XWCzM6nhQamxOo9AdHN9fg/e11TxIjJXr m507Xn/6hvdYKQ+Ku+eY+tkD7//5hlVpDg/im2h8SeeD179Uvngljge9IMj6 6vhvwPydHOroIx60vTrkVmQgxgZPz5ra8qAnSrPEweANUGZva2g7w4MY3p/X lArD+d0m6WcryIMe7MqUd4/A6x1hNZeicCPaI3ah8hjMxy+SvhLmz3X5JhtH HI5HaEjj7VNuNH+1lmqSiPMdErDd7yI3GlUPappJx+9Ls/bvbOJCVp8mvil/ xM85ugY2ArlQr+i5NL9PGxC9eiLxxyku1LKF5eGeb3g/I5l1z1ecaDYzxkKf jPkTbaJT0+RE20iSJx9X4v1olYIsPTsQytVbWqrD9XDtju3cle0oyzrCpqkP 8ze9N4ZVig3VbD+ozjyE81+/bVZKnxWNFBUKqY7i573MKhoO25AAT29XxuwG NKXtMLGIZ0ZPK0R1Hm/i/QYiWfMb6FGKQ97BEvq/IPc34PV881ZUvleTYZn5 L5ADLLedadmCaHduFFtzYiwN51MiN/9XcZnHQ/VGYXwGwyAkhVBEpCJkaZP3 JomsFZEWS4ooSSV7UhTZlZCQiopkj8J7W7QgiexZsmffmRnL7/z+/H6e8z7n OefemXsvctyYraS1YRERFVYfzI3mkE7g3tUz2ouIMhHv0j/bDHv8Ob71IPBb RdXQJ7+Qd5vNDzsD4OmGx4eyPqJc9dtBNUeBkzhLzx4twVJ9FfMZ9sCSam6V wd1YM/pkfZfjIvJXv6YTebEfW2iN5qy9CP14fi8b6Qzh8FhB5zvXFpGNZ0BK ypkJvKBr2WYXBLqVcxglaB6LTv0rjg+BvB4ZDqo7mVg12Tu2Jhz8G/me5Xey sNNckonWQ2A+c519Qss46KmywrVHi8j1ntfIYWMK+cTkIz0zeRFJucpk3OSj kk3pvR/WvlhE44W7d5R7sZHTR68nmWaCvj/bL0qenRSgcHvfyV5EK50a1I1q 2EldSwW1maJFFBnN4SrMRyPtOMpWKpRCHtpOyuATGumXbTJi9wE44oz0LmVO soB+Ja3mO/gbbfb5t5OL7PO5OVL2YxGl6HT2SmRwkaITEWqvfy0i0zecUcdF 6OShs0nej+qhX+KoQpQvnfRpzvwY3AzzfPxQXthGJ7OM3nN7tMF+FteXl+3g Jjs/fDc99xd4++XJpHvc5CqNpodmvVDvu+xm3MxN6rzqa9f+B34P3n4vl+Ih 3dfPyKqMwD5LchqWbHnIF9HsFyUnIO9Z14bpRB6yhXNVPt8M5JFssXn2i4fk 9ZZiseYXUWffmAMvhZfUHNumPbgA+TWQxmZ5XtLlzN7gJsoSsvEQvLikz0um NBrUfOFYQuSkJVvYWV6y1sBKpIC+hAh8QqvJi5fkIB1PP12xhPyD1xf3BPOS GmrXn0etBA4PtyiK5iUdXwQO31i9hLJ7LuhZPeAlEyTuq7qILiEpfRalLoqX rIpM9TopsYSUU513KdzlJZc4cj4ckoL+a4T+uXrwksqemL5r4xLqZLfTfm3H S9qO/DDZJA/+L59kjeryktG2f2LXKECe9x7f98vykp/rB9vYlZcQpW/HyZJF HnJWn7FxUhX8XMYsz9fwkPJlXBc6d8A8oyb1Jx/zkFbbhfOq98B5oWO0V/Y8 ZGjaRmYJgrztn9TPyvGQ4+H77sYfhPOdqht94rlJaXbTn3cMlpDpgNwnmgE3 aXb9tLC7yRJyzaGJHp+jk0XW3s+OWCyhmvTMmE8EnRysCx4iTkBeb6GLK9u5 SAm9uO1K1kto5cjk0Wh3LvKGcgHJ67CEUh5yXHsVz0lmP/vExXQCv6e5lr4b Ocku0VrjARfYV+5i2NIrGqlLHfvz2R36r/3xKSyDg+SvlWf4BkG94/e1MX5s JKG7g7gQAvN4aX8OGqSSbu8O3LEKh37e2cF7j1LJhlS7NTtiYf6u9ZnB4hTy 8ZVElfHnUD/W6xkjwsIKa1Y62ZUDq8V31omNY6E37zOff4f8r42K0jeMYKae w9jAD9jv8yf863kG8TefsquXGoCfxHRm1HVj+54LN3z6gekGhVdu/MCP877f j+VeRpRtERIdk53ottG1xmY+YMGuXQ6d3ehCv5TYulXLyP9FuqpYeR/aLe6R /FRsGZG/JIhdl4dRQ4Dcq+ytyyilpetbXcoUKpWoHZ5SgnqGS0n74DR6Vuir tENtGdlsLLncpziL3AZ/55dqLiNiVP1++eN5xH/kFq4w+r/fViHVdYtoZmgb G/+RZSTVpFcXuGkJ/Qls0Tl8DOqLhTw+yy+jV8UqFY2nwU/Gu/bBHQoRdbRt hfgZ6N80OzDLoBAeI3dNTjuAX69eioMDldDd0Pm759IyqlF8c0pKlY1QfH9P RP4q+Dvo8RBRbMRq8x1Wzh7LaCUZnbF+kI1gjXYlZvkso069qZiMvexE193w jgl/mFe13L/xHjvxXXq3tHrgMhpPCUy8/5udyC7ptfcIhnzEM/8GEQ7i4bGo 9PdhkOfGnEa0OQfhN645uBQF53kad5eFcRBnQwYUtOF/f7yr0fMIyUEYbrx/ KTAB8lxTMtMb4SBUy1DutyQ4/6k4MWE1jRCzHJrmfQr1p9LjDmjQCOpk7A6T 9GVkavhzSfcIjRi4p+0VnQF5XdNnHzvSiJ+yoyX1b6CfVpewgSeNKMTxy6L5 cH6h+IzpbRrx+PgB7ZNF4G/fapgTTCNuT43fTi5ZRpGRbBluwM5hiV+7SLh+ ibtLE27RiCOb9HjkypeR6+kKWRUPGrHrw5Th+e/A5+v6tBxohNSJ5IjMH7Dv jPunq01pBH3mUO3YL+j/2Gb/kBqNGAufXa3aAMyul5wqRCOGx9d/VGyBfh8v JZaNcRCDRw5ekm+H86UJ/9BXDqI//5KETBfMZ39IUS2Bg+gRjvu+rg/yX+Ol vnLkILo8SHfRwWWUXWM+kr2dg+hoGZARGoX74bzu2ePz7ERL0i4/+izkWyzR qndnJ5oodlvZmbDfEwmTP5TYiXq7kKbFRciTulSV28NGOMZcjGewUYiVTnwV 97XZiHOfqeOzHBTClNZUWzpEJc7OPNCd5qQQkYHHP22JohJ2FmVTozwUQqpp 0VH5F4WwvXvk0PAKON9i1890phA2xX0p//hBn/1Td4GdQpwSFzDuWUUhiJi4 oDOHl5Blh/WLZjEKkZLJNIuH70IjB+qpz1tAl1QOzjCbRIZxD/I+KADv1DO1 3z2BDn3fzIO3UQj/ksR3quvGkd7WI2+Lt1MIcmh3ElE4hLTHUgXf7AY9kOXP e6ML7byu8yX+EIWgSP26us/TC+940STx0BA4cY9r7958rNF84cp9Y2CFVrMB 609Ydc8DqYgjcJ7DajSsrRZvW+71um0FvNH591uHLixz547SJSfIc/sMHwqf wG4Nan52F6D/icItnjcnMSnbVWXuArrOjjUjl6bw6c+aTppuFKJzonS0fO8M fi00WKR0FVinu+CnxCxesHvIJeMO+1F9x3tqdhYnUCefcXvB+ZtO8lZx8/if afLUgjfUS9xW9LRh4J0phtrjvpDn5m1DL2kmbtBK72i4CfnFE4oiY1hYNtxs W8UtyCN77aGN9gK+2kb1LQ2Eej8p8s7gAl7lc1LsWTBcF5+X4bZyS9i2kvv8 w3vAVbIdLcVLOFvs7duQMPBLvtC0U3cZL5+35/SLgP5EBrarXMbGxYLml6Mo RHZW1LuUjfB/TMdP7WMohPJI6PsOawo5bHFh0uIB+J3vcLN/SCFDZr9EaMVD vdArW3EWhWw+cLVd5RHoBvXNezdRSfkHGxRlH4M+NHQvyIRKXu+p9hZNhn6+ bVljV6jkF1WfCt4nFKKmKd306n0quebW5rXLqTBfY8WxlTlU0r62wWHyGdw/ Tpf9yO9UMm/D7cLeNLg/Y76eDGinkmyXVWjNL2C/YT6nzcao5GGy/WjVK7g/ 33/4qr5AJVMEQlNxJug/CvPkaGzk2OldE7lZMP98m5A8DxupldWH0rKB43e8 2cPLRoYtxoTH50K/EssN9nQ28o/hvrbQfArhqq/V/IzKRm5NHN3qXwjcKijK NkclvYYeeV0pgv0I3BjzH6CS33frfz/3Dn5PBwyITQ1UUjRkVsSqBOaRPF7E wlTSofnpOaMy0AdKamhpVLJQ/nABQYKfbXql0V0qSfNYYlf7CHmlVuf+OUcl zb5mHNn0mUKM26kdLtlHJZ8KH38i9gXm59feOSdKJSfPco7zfYP6GxsL4oYp 5L6CPC1qBdwP6/t/ZZZQyEgO27DpSti3z8BhIphCbnv6fkvrT8gzKLdKQpRC +k46elbD71rKQDaHrWAZV+0T/vahDs5rXxEgVJexU6fr2ReNsA9Z9rkHEku4 WGl9/qNmqH+QwzV1ZxHTb1SyRbQCS4/0G4ws4LR1cinXOsB/itfxThoLd1m1 tmj3Q38eBWH/xnm8Yq9Fus0/4ND6B1c557G6ZN0VvyFgs4SFFqU5fLe7YsW7 MWCxgKx+txmsdOGdlso8+OV92ZRGTmAf3/hUSW4qQZm9II3PduM06zWX9vJS CTK62KvM8C/+uS9qzwk+0PvY3Dxs27E0Z/DvWEHgwksO77vr8bdwD05+MeBO ObNjKA+vSbFwWthCJfxJ9Cby2x+kFVCnIaYI+vRPvx8XOpGjvQn7TiVgR4Ws hktdqET+YOIVVeDe4XrvM33ILkejenAP9OfitcucGkGhMbkJdC3Q+XYU/f04 hgqubXOQI4A7+Fdc+jyO6LvlKHY6UL9/r0Sp9yTK+rhme7Mh8BPfT8svZ1DT s6ilWWPgyqvxfA6ziHqHr3L1YeDNxPvJdXPIzIBmb2oO/P2jU4LHPPJTvKns YgH5c38urJBgoBcCiwv3jlMJqUW3mcIiBmLVTT/4egpYlyNuYxsTbSx0teu1 phLEfEt0mj0LGccNb2O3oxI2gkZpf3pYyMPLkSVlD/pIUtYr+E5PPdnzVesc 5Dfd4DZbvYCqtGzun3SEfqEdmek74f1F6o+NlxPwbzW+FwmLaD27pWLcBegn ro66pxeRXm8do8AF8q7wHdaF91bfreHeb1ypRMplDT5a2BLKvay3+MIN6sP1 c+orl1DfW7YbqVehPkOxIIt9GYkvlVAS3UHfNel/B96rTHWuBzzwgH6i8/Tj 8F50O0SFI8IL/JKYVetuLqPimqHAuz6Qv375z6/EZTQqnMYV4AfnK3t/ueUs I5lTNsHe/jAvV0r9ctkysnwqxnstAHiA9sgTnvuh/36HutwGv7UBZ7o+L6MP ShH8jkEw/8WGub2ly2j2mn6k7V3IV5j0KiprGW0pYV91IgTy6H0164lbRtZs ZTFmoeDXcvCoFrxX3dfzWGMcDv1PyQe+tFxG38O3PzwYCbrPYV2Vbcto6few 6L5oOP9O1q1rYQltF09P2H0f/HfzWVZ+XkIOtrYSarEwz9bhUlbgEkpMF09S jIPzSsFNtwl4rx+pl9yUAHnJ4/qesO/dXodkxJKgfvXAqxm9RXSJ5HgulAL1 R3MqX/5bQM84sRxfKujhtQ823F5AfDGqWyhp0G9dvNynNBbSbh7JYKRDXqvC VBklFnKXfKE49RLmP2kvW5DDRJ0ZEip9r6lEJ+Osat9zBloz2ZDb8QbyZwXK fxFhoEM7o9Sac0BfPP7P4vY8yvtM21lVAP77LHrXGc+hoLZRrdxS0Ccr9ui/ mEbvZV6SGRhYr3hl+dQUGj9/Rvv5h//vJ/MsuT1T6Phs44G4cjjfanVMt2wC KQh8MPT7AXl+Cg4lqo8gW3Pv6us/gc3/no65P4RiH6mbXv4FTBpxyI3+Q8ub Xh21rwfeRClLiu5DtUSM1aE2YKzMzmPRgTzczjoKjwA31Urz6qSjuwajDrvH gFcq7r9cHY4fbrzucHoCWMqF+55RHi5suHsubeb//w++rvOc3/HU7kx7jSXI Ky65RzK5FbOtVre3orAR/vz0WIsjHXjVSOkZPzbgfD/Fv75/sXLyT7svnGwE OVx7v0S4F7uwT9kcE2AjKAOvr8YxhrDvH28bL0Go9y7aaJE8gkMLOGyShKBe NenFC80xnOEgbN0nAvrz+FC1bRP4HZF8mkeMjUgZPWFDH5vAFWvlT2+TYCOk 4iTOt7+axAOVu065S4E+EezftGoazz/7eDJBGvqFr696WjaNufwMTpZtZCOI y1Ht2H4GyymfOsG5mQ2uj7KLfvIsVufus9qyFfQJ1hkn1Tms0+ViZawIzKyU 3/9hDp+57388VgX6OaapPvg+j90uch9/B98dxOZfZj/3M3CAbrRluzroz85Q 9r9l4ChJcUu2naBrbllRL8PEKfNPLeR2wzwfSsUvBDNx9i8Fi0Oa0L+1Lmu8 n4nxq4JjLlrApb1rjBALV9/SOhZNwDz5BncuRrBw+8mv5oXwHtu5YLaeaGLh EXVT8xYdNsJGNvp3/toFvMDfbLakC/NSFB6WHl3AKwZszaT1ob9Kzn7joAUs /mHwqK4B1P/4lnoyZwFvSbhy1MkI8kQ8PN/5ewHvvrJwJNwE8gcbGtSNL2B9 w8AjuYfBz8lgWJm2iC1l+Y80HAX+2d89K7iIHZdiDzPNod59omCjyCK+3ih5 eL0l+FO+Db1fvYiDsl+YaluBvwWNgXkWcWywium5k3B+xF5Tg7GAn9u9Mwk5 DfUG5dxynQs4f89+kywb0CUcnsXhBfx5dZVxrR3MayKkHP9wAdeNmBnP2oNf 2/4Pao4LuOtLm5GYA+zHjqbvpbKAJ5PPGWmdB17REuY1BW8gnmOGds5wvuYY 0sti4ZVHPAyDLgLPm9bN2bKw1Faq4atLcL/Rd0Uk87OwEkeIQfVl6J/77o5F PhMbFz46JOwO+pwSj+0QAztO2S2v8YC84fw1l24z8C3lLflrvECX36JXJ8LA Ra+K1q3xg317iXaxbZvHtf03alf7w37YB/W4cubwyMaDd1YHQL2SR2/Ntjks nVw/LhQEfskOUiris1jzT+JzobswX0f8Su6QGWyx1t5KKATm+bexT356GofG TH5aFQ5+t6gXqt9N4dk7Ag8FY8HvnC3n9zUTeGV5g4FgHMynvIo2YTeOt7Il UQQTYJ7WwdLNx8ewjY+C08ok4NW5l6ach3GFq/5egTTIO+4VsGzQh5OO3+pe UQj9Tchji/dqcVHsobgVRVBPWr71cajGdXWCRiveAbf4mQzkfMV045RC3jLg 6O/pMt752E27NJjnC3BAmxLxnES6W+eU6A2Q70CtRgzxF9k4lvVwNYH+GvU3 1nUh7+eB8Vwt0E+Y1/uyXQ/KllzNztUOeT6fcNvn2o/EVqs00PqA7wVUj+qM ILXD8yG0AfDbMh598eUoMgnHiAbf9RSxtEBT9nF0m278kmMU9llUksowm0Cj C04+7LPgb5UgKfsF/l8tDTYz5mB/OzTcHcym0ee8rQ2jDPATjEFi7dMo3mlY qWURzhccdz7dPYM4vlT9+bkMujVpWHx6FrlseB1cTmWH98t1Z0XqZ5FO08Xu bBo7YXNq56J37hx6o2ocmcYFehMj1WztPBKL2LY3kZudoJhYc9Z7zaPAQf7B KF7gpfrRgYZ5NH5gLPYOHzu8z/kk+Soy0IknP/f7CrAT/jFOF276MdCXhTfj boLshNQ5Ofae7wykbBn52FEIdFb+zAMBJnqU53ro9Bp2gsjc8CDYhIk4BQ7P HRUBXfTQitxgJnJ1Unmmvxb8p8TG2MuYqLVc8DASB7+zj1hXh5lId8Pkoto6 diKluNRiYTUL5fjUvtoiCfWXXrpE72AhiaZcC6kNkNedfVjZjIXuqMZwCMuA nmDzutaJhSbDr+TwygLzcsxc8WahU4NHT1M3AZ+7ZbcqiIW+HVDjnZOHfNOx LZkhLLT9yeqi4S3Q780q/f3BLPR4Ydq+SwH8H1gaNt5kIbplvWDTNqhnu33d +SoLueUVlP1Qhrw5S0vstizUxh/r/Gk76CnSwmkHWUjPyV20WA30L6knLOVZ KK/8WHmWBvRPG6mUZmeh9Rt2uD3bCdfDqFOYv4mJ7vqISCbshv0cQnKy6Uw0 1ThXGaEJunTQ0SuuTHRatckjUAvyNL2Jo6kx0bfwIllvAq7va1JlcIKBkg54 3jinA+fvbBEaOMlA3E+OK5zUhf4Z9v9keBjo6sKu5sN6MN+7dftmc+aRfh5z +15D0J+tm3ozMYfy+Vs7thuDf3Pa84/Bc2i90/tQeVNg1Zv8nyTm0LSUT5+Q GfSLH1AYU51F1j4nY7iPAb/t7jAumkEVjZrEsgXMp7tPnWPnDEoOX4wfPAGs H/q2a/M0OrTgZ/ThDPDxr6iiZQIVWFgzC89C/+wg6y17J5BUHkrPdAC/7BxG 26NxNHueQo1zhnnGxD0ePx5FTxpv5rtcgf2K1ctWrvuH+sqVO8KvQT5Gmu7j yH6kkN/B/eY68D5vr0eLvagwcq/1mDfw6YfOpV+7UJU+g9v1NrCATtB10yY0 /97V+vID4M+XZZxPv8BaryRDoh4CD2vRng8X41tx1fk58cBv9Y/11HzC/NcU eCYfQ57GFRImxTVYZttAvlsa6PSj0ovi7dg4xZrn6tv/5zvS8Ob+EL4fzq9+ vxj0Hma9IPcIbvYptc5/D/prnatt10ax/XHxgmkMfoqnApMejeOXBys6Vn+E fRwq0Y48MIFH1T151D/D9TrfIMsxNIE9VzVaX/sG9fyFqys3TeEySlDIgwrw C5lm/iibwhxjagUFVbC/6ZMReabTOLwymme2BvZlduFCNLxP/C7epy5cB2w8 aqjbN4PXvhi31qiHfFFBYoftZvGz28YF7s3gR5zyGNebw4Nuix2xrdBfav+L Q3lzWMk2k+dt2//3B/uuuyLz+KrJCfXGDqjXfpUWcW0ev9vLYzP3F/KLfO/W +zGPl7cWh4j0wP1rlSSbvJ6BdcQcC3b0QT33y36f8wwcQhfptBgAf+vG4zWv GfjnbDmPxyAwf/i3O/A8W917VT1uGM6fWx6OkWZiqzoZm6JR8J88MNd/hImT P9SGNI0DD65vc/dh4p43NwvmJ+H8tXELjWQm3pKk3Ck6A+fFrwyvf8/El0I7 eHbNQX7i0oR8DRPne4WrH2fAPl242UzbmZjpuNfGkwW6RY9nZC8TH3q/hbi2 CH7dCo/W9jHxIz5RqcvLsD/3Q7VJnUw8bE2jXKRyEJ2vrd9tqGdizdzJDkd2 DoI48Sfj2ScmDuXoxPY0DkJKsc5MIZOJ2479SLbh4iBSVGK1S8OZeNvLdzdO csP5LZ9GTjszsR8r3dqSF/Rk201rtZm42ugBMuPjIPzPXROaWcXEkikBkqYC HITNkS8li20M7Dp5adlAkIOgWCaUaz1lYFLnVMdBIQ6CVFOYLrdjYMGHh/D+ NaCH5L9IkWBgu387kpEI+AWIc3fUzGP28FXWO8RBP302/If8PDbrXNZSXQf+ 9sZ3U6vm8LPtI+uVJCF/0LDWJuc5rNv4tV1OBvKaM63ux83i2M0FZdKyoPNS FjI3zeJ+79Sk9Ztg/jcRrb9yZvBdKd/TwluhnsOJzHw7jZvcnLRWKUL97Ih5 guo03lxusZ5fCfIMh+5kz5jCFee3t9NUoX7VBrny0Em8Iq//1MxuyEfza4uW HMcnafV7JzShfvrF9pqZUfza4uO6ES3QL4sPhz4fwcYLiW092tDf+Iuh/cQg jjxw5NTvQ7CPHqsT4vt78eqmkpN5VlD/XqBQXbEWr1uMOnHZC/z45S5li3ci vS6j4oc+oA/3Ww/hv+jqV26RMj/goofnH1p3o4qom7U8t8BvhUHynYg+5C53 Wf/ZPWBjL1/DtGH0hFcxvSIM+kvTGpzERlHV+ADHRASwdZVyWdAYknlvQ+69 D/UV8JIrM4FqTEx3NCbCvClHHh/InEIstRUPFpOgfsO15Y3a00hO7NukzBPI p3FTH9dOI58elOX6HM5P+jwNg+d/+ncW78N00D8MOHidmUW1WW/Pl76E+0c1 4kFk2yza7Kkky5MF17P9aRTGc8js9FCAcjboPbqvHm2aR/770zuP5YJf39lu +eB5lCF/Rss3H/T4svUmPfOogU8y8Wkh5Kt51Dyzk4GoUy2M70XAH29J0e4w kEJTrMX4OzhvZX/MqZqBLEqPFAiXwvkVbiQ/PP8DUvmF9mLo37i3vluPiV7f qXA98wGuv5rVyiZvJmq6EFQd/An8Cpx6/sDzjv2ItkJ2ObCkwEh/FRNt27EU 3PAV/Mf3t4wMMtFxiXf9C9/hvK1UWA+VhW5T3Q/IVMH8LUfCvwmyUHafylP9 aji/QfhwlBgLtVaOUFxrgC9O/dorwUKcOS9Px9ZCvtyjUpXC8LyPPVtS8hvO b7uxXZMH3g+8N4h1N0BeVfHRiFl4Htu0XeduBt72kuNHKxPlHYivV2oFv8RC tYViJmrfYq56rA3yaJ/ukYhiIu6VglE+HXD9Ur7l77NlIrWZqtHUv3C+Imbt 5S1MZN1y1/B7N/Tn+uZZNMxAIVjn1Vgv9O8Srtv8goEKnlHowgNwPvuiSz08 vzuDS85qDoKere1VAc9v3ksen+yGwS+9v1Qydx5pmKltCB6F+qIqodEj8yhs feaf+knY16zJLYObc6iI3XH3wjTk231QYqXAHOoZkImTnoN6z/zR/NhZtDvv 0dFLLJgnIWdi7f0Z1HfwXgWdgwbPq1oLdoMpZGdgIyXLSSOIw2kxZ7ImUZux uvs+Oo2wYRetGl0xiX6bd2zwWkEjUoRXp8mWjKOPZ1Q9h1bTCLK++8LFn0Po 8Y3WTdWy4LfJfYXapXYkeivbd3AT8ErLWRXxVnQ/KLCOcwuw+2uZRNyIQsKU bqBtwMVOU1ozNcjj0a2GbA1gj601f068RGZvtwbGHKQR/vRcaxOvJlzzjtL6 Rv9/XVP0e0crNiirV64yAN7a8WBGqwNrl9/4w2EKPP8hNW6qCyvX1am6W8L5 yV31GWf+4cyGF8HRVjBf4ctvCfB/sanFtyPrJOTX0/y31nMYr/+76V6/DdST 1kV7r4zhFWPeXZbnYd4vRvjL7Ul8d9J05zVnGiElKV5dpDCF2Wdlw6Mu0ohO Ob/4pZ9TmLnwc1fFZej/ul2giWsGu1OeR/Rdgf0F7KeKJs7gCXavXjZ36O90 LJNn6ywe4NkYtccL+q1jm3DYOYft+Rl9Fj7QLy5iMKpwDncIVmte9YP6MIvQ P/D9ZrXmaXSkP+S9NvV305N53CDqMZAZAP00XiZa8THwYQkjre+3we+10/PD Vxi4SlL6fm/Q//t5MjFfy8Cf5KrQ+nugrx752OkHz7vwjkPCYaAfiWLwfWHi mplJc/4I6NcjVXuBi4UtTnHackaBLuzX36cN3/uf115Yigb976aflz1Y2F5B 8frsfcjLxfWPmc7CQzFEwGgs+Ls0Ld74xcJurKNhfXGgx8/ZDk6z8LydQ1x7 AvgNyZzXWrWA/Sq8njYkgt/ghQa7zQuYtj08qzoJzqec07LZvYBD458Uf0mB /TH2fZI/sIBXUQs+l6XC/r8eVCvTX8Bxjt9+Fj4D/6nzb1brLWDJmtaWrDSo 17jsrkYs4LQdY71pL4A5ApUEty9ghWS2iaRX0N9ntvLdugWcyym8EJsJ53tH GVvYF/Aul81cEVmQp/WzxfkuFibrNVfdyYZ6z9CJq+9ZWHev6bobuVCvWmd1 IpyFfzw7I389H/zrla9KnWBhsxXXVS8VwvnZuq2/N7Bwy5UQLYci0AlpyStd TGzb+ljf+h34hYy5iD1m4gHtHDOLErierA23vhxmYpdXn61NyqB+8UnzAwoT +3gOXUMfgY9+7/5gyMBsf5f8d3wG9uYt1h6cx8F6q0KVvsA+ysxN5APmcazI rlTJCrgfuRmyF57MYYkbhq9FqmCfNEYJZfMcftpnXSRQDflq3fccypjF2QVB 1cu/oP/5tYE3U2Zw5dHfzI5mmK+1ZP626RQ+8r6f1tQK57+NrFuRM4mbpFkr a9rAv/Nc9G6+Sdw3sWET+ff//bkVrCsex5TIS0dT/oF/m20+o3wIB80FnI4b gnm9B4299Qcxn3Xs+cgR8KPc53/+ZQCLbSu94T8B/bVorw+86cXqVTyZNgyo T9xWkRHYjp3oaRwbuDkJyk4/4qlIJq5kuxu2nxeYQlvvE34BKSyeFz7HB0z/ c8f57Rs0NqEonyEIrCSAGH1f0NXWAgN1MeD8kwqB5i2ovv7hbwsJTsI//6nl LfZ2pFHjecprPbBxypFv9Z1o/vPeS1iakyCapWs+u/Ug36zyaP2tcP7qlrfp V4ZQ+4t08QuKnAT5JoFxRHYEEU+Dn4UrgU6cPaFVM4rY4owK61RBb2h04adP oKCb9c2nNDkJG8OQgDXC06jf+62dvxbwm7tvuaqnkZ57/FAqwUl0OivsGPOf QbzOpxb7dSBP0inKQMMsijTrlXIzAv/NMR7xWgw0Yfz15X0TyPdQftYcvr+P 6L/c/vYw1Et8e/faiIny999733wU9AnHzVcqmWiN1kWdBXNOIoVPvStMm4Xc d5r8WG8J+u4jUh25LNS0XeXYPivIK1MvsVtiASVsmnEIOg39GO+/ZDYvINaG xvEXNpCvA2cEKC6ikxLFnpV2oFdfq2V5LqIy4Udso/bgXy5CcuFFJCnoe2+l A9TPM3ZeXlhE/rzWq1XPQz6uVwWG25dQF23fY3NnTkJqbOL3OZsltJ8iI+dx Efx6+1pKgpbQMybHm4RLsJ/yxrUGz5cQbaZvR+ll8Detahl7v4TOjX0jO66A 33Whq3kVS+jbv1f6bO7AP/7OBP5aQpt7Qms3eoA/x2V8omYJhbS7nDjoBfx0 o6L61yU03GTac94H5v2q/Y1euISM6rZfDPUD/6aIc6OJSyjrx+rZLH/I/8bl 63fvJSTwbdbvVwBw7iHhrCNLyPVjE9f0bajP4aE/37CEfpW8ixS+A36JptOv BxbR9reJa3cFA7fePFmRvohicvxST9yDfavdDRCzXkTTGTZb/cKAuU+4JfAv omNp2vkpETDvzx+FDoUL6G3Kxr2fomAfxWPKUccW0MZlHe8PMaC7TCaoz7JQ 5KmzxfgB+O8xXXU8goUcxdLUS+JhPnpm9uEsJvrt8eXKu0ego+A/h9SYaF9j X07RYzjfePPvmnwGEru/aVvBE9iXSHS865N5FDR58ELeU6hvDtu1Q2AeTZo6 vsp5DnpqGB9xfQ5V8r2Uy3oJ+vXUR6c0ZpHPnS2S6Tkwf1jTh/dXp9BA76FT z/OArwbad7+dROY6zo+eFkD+biPfQ7MTaBs1UySlGPz2bCEenh1HHV6KK+M/ wPxstSr6coNI20WZeu8X1NcvjOvoNqKsKlMUXAfMFvE827MOiW+97HunHthi dCje8Cea7s9h3Gr+//c4oLmiAKPntqqTPn+B3ftHW6vLMN1co9tlAvqlGbPW enbjq3nHNlycAqbymWvb9+K/gtetnWegXuzReiHDfvyu+m2rAwPylFclvxEY ws56u37bULkIyndWyB/FCdyUdnyVNTvwbjGJfwKTWIfmZXqKBuw3ez9ydBJL fHxXdZwb+OMdZnfKNK7eo1l+RJCLsFk9lrP79xwOKbrG0hXiIjqdnm7tiprH B9XfqOxZA/XimzfXHoLvt23SSTJruQiiLsflw2sm9s048VtEnIuQmplycbdg 4d3yD3hWrIN6/kriG4uF8zbQr09LcRHkl96Nj1UXsWvSvtcD0qAzdqxt+7KI FcS9u/9sBH2Fyqc1Zks4bfWoSbk8+JvbagqcXMZ2UZuCirdwEf77civjGpax JL9tyWsFLiI7gjP2oCyFjOP6LR+rzEWkJPZa6EdQSPPbfNYh26GeK35QDlPI VdSDD/zUYL7CqrxHQxSy2te/0k2Di1jZ9bLGczWVvMcspjrsBD8ic/rXLiqp d31qx4ndXETNlZRPwSeoJMe0gouJJvh1X2c88aSSH1zPPduvxUW4Ns53L8ZQ Sb+R5JYdBBehvPPlxYxXVHK3U/NKBW3wZ9vlFlpKJef6Vh2U0uEiTLMiLTOr qGT+GUPf1bowX8F3j9lGKunaGZhH1+Mixr0pflc6qKTiKfxvQR/2Y9ARLtRN JQeb5yUnDMDPcLKspotKph3bfqzXCPJFlI1ktFPJM3XOoc0m4DfdIP60gUpK mT7/+OMw+O0+7fi+gkr+qWqf/3AU8po9Uuh7RyXj9UWVCs1Bl9jhszGdSh77 cvjsKwu43nx5QR4RVHLV/nuPko6Df9cG/vErVPIn/vwr+gTsJ6kjxM2MSoZq LnHdOQU6eTZFRgX2VbxDy9uai4isZxBT3FSSpnH56iVbuB4P/4l1tFPIj7mv Xp05A/uP+2lJzaaQfko9nRZnIQ9hXHXEl0LuyVwnYugA/jpRZg26FHJe3sKI OA/+9nlsj1ZQyPznkbfUnMGvtCLP/vEy3pbMPi5xCa5HJPPzi4glPCi+V07w MszvZD80ubiI0+PcT9KuwP4qWyYUzi5iqeh/30bc4f56nzyYsn4Bt/HLLP/1 AL/apQPSl1k44d5J9QYvqJfN3zNXwsRCgT+flPlBvbmmqtA+Bq6hcjfl+oO/ V994ouc8DvXT5k8PgHkO+4WxZ85hTo8Cr4ggyCO837VvaQbPOz06ahMO+7xF kga2kzjC6ynXjUhg4/6TvRYTWC4k4/3jaOCI8oPv9cax+cv3Mq2x0J/j1+lo tWGc2986ZZ4MfiYnPwtwdeML9hL3DbJBt/TZX7H/AWK/ulHPKRfYXmBz04ti lHBLYeFuPvCS6ocHvF/R91RN+y9FwAdTORq/1iO5vyfV9n2AefDqjd5belHn qce/NWphfkdenvLH0+j6xed3zX/DPBVfZfJrZxC/72vNqw0w77nDvjSOObQ3 sfRZTgvo/KT7BisGSmhpu6rQDfmO6x/4UrmIVAZ75Q16gUV087e0wPONMfLn fD/8H7hse+LYtYzmRJd00ofgfuNS4n88RiHMLNavkZ4GfWfuvOQHNmLonNx3 YhZ+P67dGjlb2YkA922+1vOQD3/ayRXNTuQ80OpNXAD/nZtO5RzmIPSe68a/ X4LzbbsulLyC78J8Y6MWCp2QmrhTLb7MQfD/Pl0gQqMTyk/MRjzjacTz7nPn NbjoROS1oM6tHTRCc8plnTk36GW/zKokOYnfbNd/XeGlE/5yxb81TnASzqtu BEbz0YnO2QnL0/BcY5O+sytHAPzLJ43Xf+QkElQiRn4KAvsd3Go/wkmo7Hv4 ZFQI/KL290vD/+Y302RzPmE4v76/e68qF+H0ubeMSxT6R+7mEzHkIvh2Ksiz idGJlRfndw/B7yY7wy1qQRzOF/CrvnLhIo5IFjNn19EJQrOWzQDu0+no5TMT knTCNGqm6KsPFxHLqftjaAOdGL/5dVEQeKdXqEafDORfodUrBPd560htcqcs 5DtjZdLkxEX42a7lbt0E/isXXE2tYG/11m71m+mEK+tvnSP8L33US2v9uRX8 PaOGtm7mIuxLhnUqFIEVqmKj6FwEp7Jq1mcl4P2B4VFdnMTLp54iWIVO2OTE B0i+5SQMRUj/YlXIu2Ll4MEgTmI0hHMwTx364U9cgqacROSS4dGsHdBvcHGv 82pOQtUtpuTFLshXNjdmWUcjGnqbZZ/uAd1dqqAulEZ4HJeKeLyXDs8n2Z1T BI0Q+3Fu/iGC+WwFfhSMcRClxGvb6H10okbdlLk2noNgk9+tducA7DPvlF1T Kzvx7JH/45sHIZ+GdLbuNXbioMBXTh99OP/DcaM7NzsROnu02dUI9CRfMUKa jVhTftHPyhzyZtze/EGYQhTtzO83s4B5ajXHZvmXkVUm09TkOJxnCzyY17eI kmLuyOicosP3x+NB7MlC8nZPvimehXqnfLx1+yyqqO9XkXcA9r+ofLFiGl3U 3/ZI+jywmFnAQasplKv8/qLIRTqRYiP9zdd2HGku/15FvQb+K+XPL23qQe1u 4j4sd6g/zPbArK0T3eyz7Z3xAL2pKI3kaUVffoy+HfSB/RTJhG0tqUAmifRT v28DX/E2OC5Tje12aaan34f5bMzlfjZO4g50OLwqFvTy38MqU9P4pO65axNx 0D9nV7aZ4Bw+djRy/57HwG/Ls66bsfChiz0d1c/h/N7lmdAZKrn9SajobCHc z4bHnX/485Bv0p8sixXD/Wyja30gjJdUyCrsQ+/BX+RmzcLDFaTc+878YAzX 1+fZ9vPp/KRYvdrhdd9gnrNr/1iaCZJs3G3BOs10wrIn4Ncn2hryhsCk6/lW OiG/98T1925ryIU1XJbhbeDPrJc+1raGnJVWkWv6SycGKHxUlCFMXtmsy7fY DfejR5TqBX4RclzpxPSGPjrhuKfEedxFhBzUDPzoPAi6EL24dJMo6bA/4WXk MPQrHb8yeEOU7NF/E1kwCr+fmuhrW+tFyfZjzaeXJ2G/G+kCGe5ryROnRg9s nIH66O0/yz+uJZvOsCvqz8H9duNM2FteMbLWVZEVzaITd13rj8/HiJEm17W7 3i7SCdH7PQ8l6sTIKl+L73+WoV5q+/V2fnFS//aFbCobN0GncJxDB8XJLyE3 H8pxcBNERdiBzT7i5P6oWD8DTm6iyburMO61OEk+zDjrSgcONYvzahUn9yaR hg94uIlOjXLOSpoE+e5Zveq7FdyE1NlWeT8FCXJHxqBYBz83sXLbOo5HJhJk fs4ylUOQG/7vvRXolyRIlaLV/+SFuAnTIJWnn0MkyKyyzTVGa7iJ+Yyngr9S Jcit5Vpv3US4CdGNLzg3v5UgX1QeTXq4lptwNPrd/fmrBClb6xhYIg7nu1u/ Jv6WIFObfC/8XQdc7fQxu02CVAhi1k0Ar+Tu1OwDLlS9vodtPTehXJ2qt7Zd gqwMd+WRAbYk88QCgKd1zrywByZzxW8bdkiQfpMdAteAd8qt1PAFpqecvB4I LDXf45IJvI5lrpsGTNF8t5/eKUHq5uj19P/vXxgT9Qa45nS5wTxwyvo8Zjuw 1QrtPLokN+GaGfGa468EeclhT8BmYFOPncVHgePWbZNyBlZWfLKnD1i68tUd b+DsR5Oj7F0SZKbHprF7wDWvN5/bDPyhTqosE5gS1jbtADwYLHRyFLhzzXRN G/DVHZGfloAj6Yz908BLPSu2CkiB7sZ+f023BClEcDKVgB09eX8dAE4aCbAl gCnSn5AFsPyj5W+mwN8qnt++Cpyr56NsCyxaW6cSBqw5O//w8v/1PM8j4oC/ PL22fBO4JmFbchaw6eHJc9H/93Pe8qkcuGXJpTr1f71nZrYZ+GzmkHoesNTR R+QA8Phxx8ef/ucrdw/NAXtx9XL8/r+fmm0nvUeC5CiwvdAD3CT9akgYONyu vW76/3xBKaGbgUVXnthD2wDX+9SfeWXg1NLG1DXArmZTM5rACs5mPHLAUoxK LUPgt6K/LmsAd7Ka9ayAtb8YNesCz29KHrMBrrpSQVgA1wh5aTkDd1Z/EvAA TknSFfECdvIhrt8FphxX6PMDnt5c2h4H/EJ+n3kwsF/jLt2XwDvNF96EANMD C18XA9MNMTUUOHq76poK4GyWlWk0sETnG58WYH+Wjn0McFqYQs8gcNy4QHks sMqelwas//MGtPf8r/8HYqzhHw== "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesOrigin->{0, 0}, PlotRange-> NCache[{{0, Pi}, {-8.993869453568223, 108.99392294207045`}}, {{ 0, 3.141592653589793}, {-8.993869453568223, 108.99392294207045`}}], PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.443936097265625*^9, 3.443936226546875*^9}] }, Open ]], Cell["\<\ What does the solution look like in the interior of the sphere?\ \>", "Text", CellChangeTimes->{{3.443972096859375*^9, 3.44397211034375*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"soln", "[", RowBox[{"r", ",", "\[CurlyPhi]"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"r", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"\[CurlyPhi]", ",", "0", ",", "Pi"}], "}"}], ",", RowBox[{"AxesLabel", "->", RowBox[{"{", RowBox[{"R", ",", "\[CurlyPhi]", ",", "u"}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.4439357434375*^9, 3.443935748765625*^9}, { 3.443935912609375*^9, 3.4439359369375*^9}, {3.443972123140625*^9, 3.443972138359375*^9}}], Cell[BoxData[ Graphics3DBox[GraphicsComplex3DBox[CompressedData[" 1:eJx1nXdcj9/7x4tKQoqsrJaUjLTH+937bvdO9iYrMx/ZIzubjMgmZGRviaxu O7JSIhkNiYhSRin96JzXddOvr396eD7O47zP/brPuc51Xec+5xgGTOgxspqK ikpZDRWV6r//7u535NzytlNcvB6EH+zSYo1LmwSZvWVwisvY9i5bWylPK8BH 62iaTBvUQDj6LrXcRHmNuFp/9ZkT27USTC7oWZ8LSiBe62hp78SuHYQHN1uf MVE+Jv7+UHawWbCNENr+5r2gtBTiT2pMmlW/2EHw2hzwNiYojXivGX2b1zSU C6oqf/6lE5+8rMul+dMEYUj0g1Umykzia+wnd/rexk24PGZHE2X4G+I9e5Tv Vz3tLjRtPm5/UNpb4sYu01a8q+0pzEx0sg43eU/8Z3HJRZnCS3i6pKYYE/SB +KaoSbXX9PQWbJ2e+aXF5EntmTe6UNjiI6z7tD+1vPwz8byS94XrIvwE6Ly2 NP6ZQew9hYvK8F/fc56QzuBFZSMveKXokc7gER0uPNM9ZkI6gx/L+3603q72 pDN4Rseg3qvrSjqDHypv+Oryckln8OhDXRZ8OSkjncE/3D45470g6Qwu3vyS 1a3UlXQGN6ruvzozVNIZPPah8e0GnzxIZ/CyF6OjpplJOoM/z2qYYq6QdAYv 0Rxh0s9P0hk85PYbsaCJL+nstywlp2XsC0X9SekPQl2SSWfwT457bY961Sed wbuednLy6WBMOoPb1/uWOnJVW9IZvKzFnkbHE61IZ/D5k7eNvdrennSm9pib d87u4Uw6g+/sdaj3VxsF6Qyes7Tj0cxRks7gnsVu23xqSzqDR6vK629ZIekM vqnTrllNXnuSzuA3nmml764r6QxuPX/gIXl7SWdq5/MH1fYmKUlnM599p56G ZiuayCMS5esSSWfwFKXmgCWiDukM3r1WsmvNOAPSGTyy6XxLtybmpDO4aF3f NTDaknQGv3I8vvBiog3pDN7K/J1ti5cOpDN4cPzcWq/vyUhn8M1Wjx688BVI Z/Dhq6IyvzZwI53B7cJma/lccyedwZ8ez/Rf0EnSGbzd5BUdok54kc7g6i5v LbZ99yadweNrGI1tuUjS+bDfoAktYz8q4orter9Qu0c6g2tr3LvV+boW6Qz+ bOSQ7UZZ+qQz+OTSds6K7iakM3grjyalr/0tSGfwwuTjM7936Ug6gy+/kBRm UduWdAZP9Xti9CvLgXQGzww0nWbyUEY6gz/xndTfYqhAOoN7H2vepWcPN9IZ /O5F5ZbjVh6kM/jnIw/brfrqSTqDdw94PLfvOkln8JkP+pzWqifpvMls5aYz hQWK14czT4XNv046g9czq34+f3810hncyEe7Y4ukeqQz8avz7R4dbUY6E0/e cujxcmPSGfz7krBlC5qak87gZoFNvbtadCCdwYN3XdLQ+mBFOoNbKM/mR2y3 I53BB6rvaex10ol0BjdWj5ir3VpBOoMne8Vq7v3qSjqD+1/PzrgxyoN0Bh8+ 8lJK2Tkv0hm8zaQw9cfDfEjnp4dHT3sa+lUxyCI+Jq/8DOkMfvaCpc8T00IF dAa/GzpDZjCiOukM/mT42J2Po+uQzuCJ408pvwXqkc7g9ePfppev0yedweNO d75SfseAdAaPHva12cxsE9IZ3DL6dVHOC3PSGfzIFtPv3TUtSWfwx2mf7bI0 bEhn8IjsiOd6vo6kM/i4p2b+uQ0F0hm8/W6DLjcsPEhncJt5w8q7ZHuRzo3b efT6aVisSMlqmlzjTrAzdAY3W683SXHlnAw6g9s+qj3CXzdeBp3BE9s6JnnP fCyDzuC1nIz31piZKoPO4FdaKI5sPJgug87g262jtE7aZMugM/jsR0sj553I lUFn8Nt3Nte9eC9fBp3BP55+ab70v68y6Aw+q1OS2c2GpTLoDG54c/HinP+q y6EzuHh2Sdak43Xk0Bm89qPNqz93aiqHzuCepglXMmMt5dC5/wkD65axpYr+ rD9fgc7gZ1h/joPO4PGsP4vQGfwR688idAa/x/qzCJ3BdVh/FqEz+CXWn0Xo DH6K9WcROoO3Y/1ZhM7gB1l/FqEz+EPWn0XoDL6d9WcROoP/x/qzCJ3B27L+ LEJn8NasP4vQ+f6WX8sNzVSEV8w+k87gusw+i9AZ3JDZZ9IZvCWzz6QzlWf2 mXQG/8rsM+kMbsrsM+kMzu0z6Qxuzuwz6QzO7TPpDG7E7DPpDH6P2WfSGdyC 2WfSGfza8Ar7TDqDTx1RYZ9J57zUccFnClWFS8zfIJ3BazN/g3QGT2b+BukM Pon5G6QzuBHzN0hn8ALmb5DO4NzfIJ3BnzJ/g3QGT2f+BukMnsT8DdIZ3JH5 G6QzeOmFCn+DdKb6d1f4G6Qz+PmSxD/+BukMvsmv5x9/g3Su0zRttGdcdaEh 859JZ/Bk5j+TzuBdmf9MOoNHMP+ZdAa/wvxn0hn8IvOfSWdwI+Y/k87g05j/ TDqDb2D+M+kMrmT+M+kMPmp1hf9MOoMHbqrwn0ln8Gvjl//xn0ln8ImjX/7x n0ln8KmH0wN/+8+kczt/Zd+noeqCLosHSWfwjyweJJ3BO7N4kHQGt2XxIOkM XsLiQdIZfC6LB0ln8HosHiSdwXk8SDqD6yyriAdJZ3DPsop4kHQGr9+5Ih4k ncHzV+79Ew+SzuBFdWV/4kHSGTxD1ebI73iQdAZvk5Wt+zseJJ077zjnFdin hiBn+Q3SGbyQ5TdIZ/DtLL9BOoPz/AbpDM7zG6Qz+AGW3yCdwc+w/AbpDJ7N 8hukM3jxjYr8BukM/uDTwD/5DdIZfFs3oz/5DdIZfEqHHn/yG6Qz+JKX+k/M FZLO4K8vZOv385N0Bl/g/W1yQRNf0nnCq1Z2Pw1rCjxfRzqD83wd6QzO83Wk MzjP15HO4DxfRzqD83wd6QzO83WkMzjP15HO4DxfRzqD83wd6QzO83WkMzjP 15HO4DxfRzpTe1i+jnQG5/k6MTtW456pco/ix4cnIwL7fFf4VD8yR8M+SZFR HnzvXNBF4ppFqrXi6ucpxnSf0WR82i3i7xdPKtY+8kMxUbe/qYrKI+JnTAca NxZVhbazvimU4cnE6/X6NFUzpobwLnN9/3CTVOK1Hg56lDtTW9jXqeOUtJiX xE882Pjkmm19wXLAaK9wkwziP4oKTG9pNxbWaNslxQRlEe9lfej6R0UL4eM1 taFpMdnEp7wLLKnbxVjwnZH0sbw8h/iL4QfVFww0Fw5a7JlposwlPnhYwNyM 4I6CRvpEDWX4R+LVLHpHDi52FIZvUKwPSvtEfFSg1rG7GzwF6Okw/rT76rwS hRvTMw56gv8qrNAzDnqCZzA946An+HGmpwg9wbWYniL0BK/G9BShJ/ghpqcI PcELmJ4i9AT3Y3qK0BM8iOkpQk/wJ0xPEXqC92N6itATvKxNhZ4i9AQfwfSk /jkrf43RqcW/FInKBV/f9v5IeoI/KF7ectoYdRF6gh/Z9KZdi6b1ROgJfqEk 9ULexyakJ/jyxxqf5B0MSU/wVVr3Dt552or0BH+xd4vfikYW9Fzg537e0Bs6 y4OeC9zyv+Dqa4q8ib+6PN7FSqYpjMzKT9xr7kPP2yTn2AWj2Eu/4zU//y7e 6hTngo8vaa2p3ivFBfWA83ooXgY/pa+VH3LQm8bF9JxmBwzN8hW5SRtHr20p EI8JLF7iGVeo8J3qslDp7EDjBeUnhH+pXlPuRhzllXvm6ic3k1P/B09h70sB jvh9U+1pHa81yiI7g/KP2XsUwFG+sE9asUd6qQLtBM+ZE7Y0LLsjtQd8e1CZ u/1MOxrXqL+3zZ2kp4NciaP8vn3G7+sukdF4R/nj7D0SR/k5iVf73mriRnYA 5fPGVrxf4ih/0Ejo0/aXp4D5C3YjoqH3e0fvLNIHcXfnPRuOvDx0gPIVKJ+z yfK9fEWhAvMa+K8NdRuHFZcpMK+B7w58ZPMrSo3yQuDTsyOftSjWorwQeMCG 4U6njHQpLwQ+NGfN244hDSgvRHY4wKGezhd9yguBDwqItsrWMqS8EHg38zfn PqqbUl4I3PNF9RuTV7ajvBD4s7kDhsZr21JeCPxmzJYmGcEC6Qm7sZHpGQc9 EV+vZ/2N8hIon870jIOe4IVMzzjoCb6N6Ul+AtlDpif5CeCDmJ7kJ4APYHqS nwD+melJfgJ4f6Yn+QngSqYn+QngLkxPss+wPz5snJL/gPLJTGey2yjfh40X 8itQ/jrTn+wedJ7NxgXZN/C9rP+TP4b6I7V6j15X2ID8MfCF790aaWu3IJ3B Vxy1ve89xZh0Bv+5YYfsyzAzmtfAv63qm3k4zJLmL3BvZt+ID4o9G5JbR1V4 z+wh6QYeyOwe6QO+O8asj25vD9IBvPPCL65D+3qRDuBnbPLFDFcf4pfnqHSN nKghFJ/wzjfykDj84Z3FVoa9i6V5AfMFnxfITwbn88IV2H9wbv+pfviBJXPV lqslK6l+rOcuKF20PSpQnewYOC9P8wXy3nlrPA6bpcvIDoMftA1590IUiKM/ bGb2mfSkfsLsMI0XvC/XeSN6lfxqR+8L+ZyP7HfpfYHvY79L9YO3uNO68/T2 7vS+wBe5aCQ02OJJ+oCruQck1z3jTfpAN64PjUfY/+jQ7TtPr3ci+wa+LXL4 f9VSFGTfwN1cL29Kz5LW3fC8p1k9NK7BeT00fmlcs3rIz0e/2mPs02iGlo/o v9K1/HzQEcXy2qv9rWQ/FMM0jIzXv7unAI9fE+jcJ+mnYvz4xDsbN2XHtVi9 zzzcJI+46/AnStlcV1FtosMiE+VbhZaul/6sseWK9FnrT47PchYDTGroKMPf ES//dmG1/mhBnOU6JSYm6LPCtIvvhYYnNAWj+/Z3vu5WUnvGJLQIipz4TTGF /a6ii02tKSoqInHzhG5u7tOKFWgPuDtrj4B6Dnb+2elGjRJFd/ZccfjdTe3W X+t8p4YwW7H/4bllPtQei0sz5pnGHlXw9gh4LlOl25o5qV8UGey5BDwXOH8u 8q/wXJteq4w6HehL9WPcJdq0uuZeQ/pdjKOW5Y9u1Mn1FZ4/2tzRXBlO7Zk2 po1r4xFfFeif8N9+tD7/YN9Zaf0a3OeX7d1LdSR/D/Xw9tD4vbuweZtnoU8U X+9++/rbzlB58Afmca1/9xMqD39P1afCXhHHuN7jXTEuBPHZk4igtFyFV+jJ udpRRYpD2++/2p0mEMf7ut6wUb0Jux2Jo1/FMS6C5z582ubdzjLFQVYPxSPo 5/KAjyVv9GxofgSv+Ujzm3o9Oxq/O5zDh2j/9nuuVu84ZHBnya4in7NVI1o/ MMWH7ADGi+Ybl2Zr90pxNHh2r5O7jmhJ71G9zou7i7M0hD4X57Rt8VzisNuq bis8pk1Wini/6Cf8/cbhd9FP+Pul3wXn75fGNfrz84KGy2IWS78Lu8T7FT0v vhuZdOK97Pc8Qu+d/O3Walfqt/UVqH/y9zj33MEPT4/4kB8u+aWps4PeXZUh zgKfU99TeXnkAxniLPAHQxZvsst6IkOcBf7l6Jx9czxeyhBngWt4fn61PCVT hjgL/EyvMW/i7+fIML+D+2++3W31hzwZ+gl4kdMsq7Ufv8gwX4Dr9EppGhX4 Q4b5AvxGr+7nLw9WkWO+AM8cMVxbN6KGHO8LfPrQW9/rL69P62XwS994e7Rf 37UzjReUr/dsWZPgpSZy6In57hOLaygPAK73Idj38wxNilvBD40sXhYSrktx K/i5wbfLOo1uRHEr+P6Ckkv3vzSnuBV85Z2ST+9EI+pX8OtyWPupX2GcrhSH lK6x8iZ/lfyoeXdDDQQrqgd8hllFv6J6MC88ODbOYcZNb/JboFuLvZ+8ehrs c8F4wTyVFOK2+YbTGYXp5rTT49NiiJv2iQgTrZ4ptHYcXKUMv0E8sNdRudzg rWLh+Ky4tJj7xIf3yni4bkS+oqxlWHFMUBLxwWnLoq44flPELm9bX0XlGfHv N/Z2GvuwVDGt4E5bZfgL4vGHdwxcKlQTGh+zNlaGpxOvE746JjRPQ5g+rNrJ oLRM4mfrdW90NLO2kNwgURZukk184LQ3ZsbB9QSru7vuxATlED/YS1vn9cDG wtp54/ukxbwn/vBUzU+ryw2ET1byrPLyD8Sf5U7dn9W5DY1f2Nvl7H0Jfjm1 JpooP0ntL/yx5MZEB8on4L03Yvpfgc6YTxszneMwL4PP2FA08nidjDjoD+7P 9I+7pe61P9zkDnG1H4XXagz8EIf3Aj6AvZe4Xf+J48JNEonPb6ujs9a5MA7v C7wHe19xA5MHLU2LeULce9vWpXtGF8fhPYLnsPcY10j+c5eJ8jnxtWPHH7jg oiLi/YJfZu9XTIraEhuU9oq4Zq9jememq4l47+Aq7L2LPjW2B6bFZBDfXBZw UO9sTRH9AXw/6w/i/ouB38rLs4jfL73ieEGpI6KfgHdj/YT8LvCVI4c1a6Lf QET/Ad/G+g/5Y+Dq7q9Wr13YTES/Ar/F+hXNv+DKCwtMdtwxEdHfwBNYfxPh j4FPu2NyePrYjiL6G/gl1t/IDoBPv7Y/addQN8rbw27Mdo/WCL9Qm8rDHxjH 5iOqH/PgcrvqQwO6SRzzrPfunH2njkvrvPCLZtXdtsl4QooLyoPz8jRetH/U bZoaelPhszeu9+/6aXyB11RzOv3bnyQOf4z7ezR+MZ+e+fEq+tpMF+IYpyOn bompYWhH4xrlM1a5ZI7Y5kYc5UclRYSty5KTH4h5fKuTcOi9sRe1B/7qWGZv 6blQf0L8s6Zvx3mRPwb70Ju9d/pd2GeVlX4ttbrZC3jvKD+PvXeqH+30n1u0 5+AQD6ofdiZiT9LWXYbW1K8wv4xgz0Uc5UtCK36X+ht44Oc+LXubyOm9ox7+ u8RRftVPZ+eSm25UP/oV15nKT/toknSxTF3Y0P/a+cYjJP8K/NvsBlsPv5X6 G/zAjr1OTVIZJXH4gcYLApwdt/vQuEM7A9h7J472nGL9hPxG+HUhj3c1Ozfu axw44gjOFWjnChXXTtGFiYqOiYt6/PZLSX/kIYOGmMzU83Oh94j+EGaTs2Le VA/iKL+raFOE0sSd+hXlM8PDT4/dJfUf+u6F1U9+LMb1WdY/6T3ieVex3yWO enay3yX9wfew3yV/A3kVi/SkzCVOSirfwPy5msZ2FaFlxIHgbFOJI67v39Du 9PlGkn2A3eD2gfInGO/pjkW9f/vbpAN9193VYcpvP1/A/IhxsYDNjwrMg+AN 2DyowHwHvoLNdwrMa+B92LymwPwFvpXNXwLmKaqfzVMC5iPwA2w+EjDvgKew eYfiX/DNbH6h+JfqZ/MI5THAk+sv6//SozX1B/i9ryf2d7zaV4u+N0N5mVGd 7v4zbKi/ofzJ0mWj52Y3lENnlJ/L5gvSGePIhOUHyN8AH5C1a2PAKDUROoPX CO9RMH1fbRE6g88ycd79/XU9ETqDz4xzuJGj3Zj8AfBbnSZ/U2vdgvKN6IfC GI8ums0diKO/3fRc4Wx9zobWp2h9ga1PCeAYX42Z/y/guWBXB7PnEhAXoJ7L bD2LOOo5yuIFATqgntpMB1qfRT0r2foXcdRzkcUXAnRDPXOZbrSei3rWsfUy 4qjnMItHBOhM9TCdaf0X9aSz9TXiqGcNi1+o/6OeBPZeKK8Cf+M2iyPIX4X9 6b+g9R0351qiRuM6Pmkxv+3DNGvZ2cKriqeZDQ3fZXnT+jLaI7D8A613gNdm +Qfy82FXbU9u69HCxYbmffqedpNt0p1UJ5pnwWvWDC++Ut+V5lPM4+qT0qN2 fvKS8rG8/ubrLDp+mivlYTBfR7J5lsYX+AQ2b1L94GvY/Ejtgb2twdpD8xp0 u8X8B8ozgNdn7aF5jb63ZM9L9SAebMmei+YLjKOejl4ju3TxpvKw58PzBmxq d92b/G3U07/bhtQ1kdbUHpRf5tT37bgxPpRHQv2q26JzExpL33dRnv9yf48D ek5UP+pJe6YYO3CGPdU/t8R44pzUasJTyyRL3W5Sfgnfvz06GrLWvbv0u7AD VpHd1thtdaC4APW76fVPUJ/sSPNUlHJd6YMQVWFN7OyP/f/K/+B3d8ZfT291 UvJPbMf6FG0eVU3IvFgt+7y1Uqw9a0JtVZWTNE9ZtX+vPc+5HtlP+A+P1DzL r602Io7yU4Y/c9zUzEjYfOTVEBWVeCr/7mPL6nkLLYij/OhbQwf1eNOG7A/K fy8vWKepY0Uc5f03FPVeeaKjoHf/WjMVlWQqb5g3c2uImR1xlK/9+ujy8ku2 wnke36F89N42WTrVnYijvEXuG42EcEfB32NTTRWVF1Tes434znubXFCptM9u Et9nh/KoZ4aGbpi2hVQePJfvF3v80uZneXkG1RN6dXV/nyJX4iivtnTst6wb rkIUn39RfnetZjqKbu7EUf7OGVVjl9buwoytOwvKy7Op/Fn1FUWJoR7EUV4l K3hd5hgPQcnzWiiv3ez8nnr7PYmj/IAUzxjPlZ5C096a78rLpf2AvWe1dkrb 70Uc5cPmH7IvXusl5CFO4eXvNe1w68I+b+Iob9jucOC0hd5CnM7kV+Xl0v7B HlfWPOuY4yOgf2K/VZd3/z1NealD/RC8eNzQ053uGVB/Axce1L0yq6Y59Svw 2hu6LMxfaUn9B7yzS1yfjVNtqJ+AGxu4DL9r70DvHXxRe8curR8603sHj+D7 1/B+wXt+UD/au530fsGPRVxp8XmPG70v8FCX157bStzpvYDvM/10q5+N9F7A l0UeiPTrLukPPqTakMc+fSWdwXflruiVGyDpjP1Wc4OT9r7vVod0Bp9gLDie 6NKcdAZf+PVXyrjvrUhn8LVXe/TXcm1HOoO/dm3kMUZhRTqD913dbfGGZFvS GVz75bZuDQc6ks7g0/n+NegMnqB5vFVXbYF0Bs+3Pbmjw15X0hnctMtK50OG ks7gGi1PnHmz1IN0Bm/okJGgnehJOoMbRUWO36Mq6QwuO3csSctc0hn7rb7L Sz3fjK1BOoMb1xl27PrCRqQzeHpki2qDLxuSzuB+kXu3133amnQG75z7eItn g/akM3hfbYf5Hi5WpDN44kfrzFbLbElncP49OekMrvB6cTiuu4x0Bj8XOsVY 64aCdAb31xzUY/FmV9KZ9s1FWxeGuLmTzvS7XweevJrmQTqDL+3/SHW+vxfp TPvmPge8CbrqTTpjHWpKpmp8vR4qpDN406YJF22m6JDO4Nesp01t97Mx6Qw+ YMC4gB2fDUhn8MQ+T2TJu1qRzlTPvMnfp+5qQzqDf15X+LmniiXpDD6D71+D zuCF1tPXh7ayI53Bu6Tsf9D0iCPpDD5znH7LzEly0hN86VfzC3XT3UhP8Bf/ NW1Z/6cH6QY/c1u7nrLGYj6tt4Ibbj/tb5irQrqBeyuntTS7XZOeC/w03y+G 5wJ/FZjZpERuTs8FXutxwefoRe3pucAjNxyY/CbIitqJePBANTffD9ejZWgn uKtj4ec3pTdkaCf4Iiuf/GC1RzK0EzyY77dCO8EVd+9+LeuTL0M7wT9/s2hf q22RDO0Ef7euQcu8XsUytBP+7RamJ+XJwVsyPUW0E9yd6SmineAn+H4ltBM8 jekpop3gGkxPEe0E3xWgFjdumRX5gfA/+XgR0U5wPl6oneAiGy+0DgXej40X EeMF/BEbLyLGC9XDxouI8QLOxwvpAM7HC+kA3sVn7KKFRnakA/itHjN7Xtnn SDrQviQ2XkgH+OdfmX0mHcANmH0mHcBfMftMOoD7MvtMOoArmX0mHcD7MPtM OoBz+0w6gD/h+32gA7ic2WfSATya2WfSAbwHs88i7DO4PrPPIuwJ+LqCCvss wp6AN3CosM+kJ/ahzGR+BekJ/h/zK0hP8PnMryA9wVcxv4L0BH/B/ArSE7wX 8ytIT/BazK8gPcGn8H090BM8nvkVpCd4GvMrSE/wn34VfgXpCZ6jW+FXkJ7g obfT//gVpCd43tEdf/wKEfMd+MOHO/74FaQzvlvwY34y6Qz+nfnJpDO4C/OT SWdwLeYnk87gnZifTDqDGzI/mXQGX8j8ZNIZnPvJpDP4DOYnk87g53ZV+Mmk M3irCRV+MukMvmBc/h8/mXQGn3T50h8/mXQGn1C75I+fTHoiP9+RxcWkJ/hk Fv+SnuCjWJxLeoLzeJb0BK/F4lbSE9ycxaekJ/g0Fm+SnuBv+P4d6AneZ0lF XEl6gvfbVxE/kp7geR9m/IkTSU9wDcHpTzxIeoLHTpT/iftIT/C0DatH/Y7v SE+sU7xcOX2N3xlJT3CeZyA9wXk+gfQE53kD0hOc5wdIT3CeByA9wXm8T3qC 83if9ATn8TvpCc7jdNITnMfjpCc4j7tJT3AeX5Oe4DyOJj27zvpYXGp4R9Gh QZ+nO5VS3gbrEdeiateY007KzyBv+enrnNRpehbk32JdsvC6rcrFNCnfsi6z qPR56FmFbptn84b+kvIq9fh6qN9EM1mtHCl/oj6qlkb72AjF8Atb+hqtlvIh i/5HPkTB2/9V/uvK9AQpLtbk7ZevzbiUYyXlN27w9p82aOi8ZoaUx1Dh7V+7 enyjE9ukuDiYt//4pJtRtru8yG+08BrzY3Xec8Wxa1ee/51PqKVeollqmKqY dfNHNcUvKZ+Qe31lk7F9nirkO+b3379Fyifgu7hcrbrntutIuh10PeHkFZek aNZm8EvBWdJtKV93qx6aFuvtLOk2Iu7xQCOzRwqd8tS0yap/5Z14nL6jUj7B hLe/xoTdS4zd/tKNt3/Ex+NHfeOlfMJbtH+PpqpeG0m3G7z9B1ZnRG4eJem2 h7d/9M8RzqbzpXxCCG//Sa13dz/NkuKsLa3zYrWj3igmH11+/O+8QY0adtc8 47IU016b5jvkS3mDGW/n3Z2Tmqkwmtpq6uIMU9Iz5+btx2cKMxQvZNrtI0ra k559onTScutkKLI3WPqeWWdNet5c3D/L0CxdYZYetKPfNnvSc0y8x9NTi18p yi8VLjZZKOVnWvF4fEalvMEG3v41V7uFPrKR8gYavP1qKzUbdMyV8gbTePt/ 9hklaM6T8gZvePs9n9U9vypXyhv05O3X1p/xqnM7Sc9rvP16p1ULdymlvMFw 3n7PblMzUvtJeQP9tvtn9En6oFg/x77X33mDFbU+z1+dl6t4urNmp9kDGpPO xbn2y2/UyFVouB0tG1tiRDoH3g1Z+9PwvSKzg19DXec2pPOzQ3e2WMneKazX dt40+JMl6ey9ot7uwD45ipOTEp73TbchnWPGDDwUOfGtYvv9JdYlLx1I5wOV zr2Bzg15+8/2Lrid9kDKGyzn7b+pdifm6QCBdP7O218Q+cjzpLMb6TyKtz8k KqD77BIpb/CEt19c7fzfn7wldPbg7bc93vS67jspbxDN21+/W7Tsnb6kc5ct J/QfhhQoLsyunfp33kBDM3lnbp0CRZrdvkHidF3S+cqMH0Ya2/MVb3f2bNZB tRnpjO9jfccM/6KZZ0w6Dzi+sM+ssZ8VyREj1/ovbkM631mdMPjU4k+KF6tM F+9NtySdHYL0Rr/bmado/fTk4BrxNqTzBsT7lfIGfrz9e5TFDQ+9kfIG6rz9 c1tcP1Fm70w6X+btN4u77dSsWEF69uXt3O3yptDOS8rD3OLt9HuutcXMVLKr Yfqrir80+qpwO5uc/CKngPIGWIfq4qZy3HeUGun2qzhZtY1VkWLuZYdv+b66 9FxPeLwfWylvsJrXH5b9ZUYdfwspT87rnzG35szt2lb0XGW8/g4Pxn7u0N6e 2vkoYsyzhid+KIIqvgO/pMDvNuTx+5//PZI3kON3H/Dydr/+rI8XK1CPTkvP c05epYrcSU3aGXzJi0M9fXl8faBSnF6Xlz+lvvTS0tGm5D9gvXhqto5Z5y2t yX+Y/2t13KShPxVt/b03l801o3m/x27DTYNflit6Zkd/abWknPIJWOeqcfOx 2G9ZHfKjroWM3bnx+y+Fz7BaJ0Pj9MjPuYd4v1Ic3Y3XH3vPJLtBC1tqZ01e /x3r2ys2BthTe+7ozndyvaAqHN9XYPN3vIz1qWEFy2o5zG9I7VmwYO8Vf29V ofN/HdoPcjIgvw7ra/3Dj9bal2pCfp1jwW234GQVwWefm+dlS3Py67Audn7B xryYAe3Ir8sf+vHW+mEqwpYD06dMjpPyBh9x3kWleDmet3/K+6D/duxxpudF +xM3J3RZN86F3ksIb7/srr2h61GBdHjfI888aUl14aXjlo1/x7k3Q8s/DPWr Lpxbt3n79+nNSIfd13SPf6pXXejfa1LakAsmpAPW7751PPxK82Ub0qG/lZ2V VmQ14ZGp9ayjAy1JB6zrlZpfNltgZU066OwZENOqXTXBvdSn3FXNjnSozePH yZXi3He8/frVvNsv3KUgHdD+yd8if/i3keLcSN7+8dGNfObOdSP/dg5v/yPD kN65D6S8QT/e/pEuqrorDaU414a3371+z2N1p0t5g5obBjYZ2V1d6NFF9/Hf 8Wx2QlDal0bqQpF2XsrS2VI8e7V6yI6QV2rCrq7vDYa3NCM98Z1//NGMDl0H dyA9Z07ZZxjxn5rg+SGqm6+RNenZ+0hMlrmVmtD1voGvxmQ70tMyKz7q3I/q QliX9CZNDkp5g7Y8ftxeKZ7V5O2PthrunawhxQto/xbfUQfyBkrxrMjbf2uE mqvzTimejeDtP7wq7NrJR1LeIJi3v9TYZE2dr5KevXj7V/Sc0qVTXSleMH9y R/N7sxrC456bav0dz+L7tAIt4f2eXEPSM8Pj06p6hzWEwO/5V017S/Es9jvM a25jmN5Gime3RtfTbW//O0osrFOt1zcpP4Dv4pQh3ic7h0n5gW4m9huVN9SF HNuJqtd/SPkBv/8Rz5rx9u9Rfdis4UlJT7T/VS/djZmqUvyVzts/YF2XlDGO Uvx1ibff7Yr3C43+Uvy1hbd/me/aiJbDpX7YqaHDj+XvNAX1vWH7VU9IuuF7 sAXXdKxezpHi1mpL/efsm6YpDLtcfdmdHlLciv0aQx+dzHmWJel24WuIilhN U2i2p8veljlSHmAj/351XfOcY4+OS3mASSOjFqeF/Y7fpzsY2DhIcev4/xG3 +vL2b6lZsvZsnqQb2l/aXjZ9o4ekG9o/XPzgazpH0u0lb79v1BrXQ5sk3WJ5 ++N+liXs3OJFOpwcWPJucda333axbc2vg1TI/znB+azpK+csKKtFXJhzKr3z ne+KNIPUrCmBquQXjebf7SQ+Dd03K0eP/KIWzu4FF8u+KpLLU3tMLG1OfoIh 59FsniU/Ad//zGTzLPkJp3h7rNg8S37mN5xfwc9/AC/B/mLOocNxXk/u2LKt Rfesibvx5zJ1Gj314A9z8n/yX6bcPjirRDFZnBakbFsYBx3Ak5kO1E8WcH9g EtON+skd7j/cZ/pQP6nH/Y0HTB9674f5907Z/Hty6PCF/2737duWN0trTu/d jn8fe4Wf2wDuxHkm53jeT7yeZux5iS/k7c9m+tD42q0oPV69bZlCYH4j+TP4 XqgT8xupX1kNPbP/nu4vxSzmN5I+HTmfs3n6jAEZLYjD//nc40OzvTcNSbf3 vH6vc7vujVgr8Vrcz3GLb7clamZr0jOSt7NsfLphwCBjGncDub8Xw/09lO/J /aiUc7PiB5m2J/tcm9c/aUjv2eETPSS/judPuJ2h/jmY++EC8zeIT0xtrjXM r1AR9n1ME/+6TtQ/p1Y6hwE8mPOgSjyaf5/WiZ/PAH6ec1fO0c5X50fV2zLq i6I38z/Jz8d3aFrM/6R6sH63lZ+3gP4wjrf/q4P67ruLXImrlDC/vVe/Zpv9 OwvEUc/oHW1fjTvhTPGICf/dJUxPiu9QPnSBWbfBkdL6Jp3fcirUxe9FOrUf fFp8v3NrahYo0N/AP2k2UT3xq1iBfkXlU9++Uf+iQfYKXDFgfvLi2Npkr8CL jCx3TzsgxTvUHn5+AuwY1X971Ga5oz7ZMfDq8zzuBjUwoP4AfjA43rxGqTHp D55ayV6Br/IInd7oniXpCV7KvqsnPcGN+489HLTLlfSk81uYnjR+wScwPeOg J/hbpifZPTongelJ4xHcjulJ44vOQ2B60nik9vDzE6An+DimJ9lD8PK5FXqS PQTfw/Qkuwf+uJLdA1/G9KTywfz7doGfq0B+Mue+nOdV2tfwje9rQP2W3L7x cUH8BrdvRWwc0ToR6jFk74s41n+XsXFBdhXf4R88I5Q66dYn+wnecHaQrWWU Ab0XOm8hTeXi8ijJ7oGf6heh0q+uOem/l9vPqNVJYxYdsyCdrflztWVxOnEn Hve1ZnkJ0s2fx4mj+XkL4IMrncNA74XXc+j5vWu2l6V4ZCGP485/P7k/2E9a x9TjcWWs0cd19YZIfvV+Hg82rJdhP93Ui/S8y+NHuxVbtWddlvxt+GntWX6e yiOfz79zo/L4/o2vj9D4xXcaB/g5CeB4jxv5OQl4LvCRzE7SuMB7ceHnJKAe rIPv5echoB7w5Wa157imu5EO4E9UpvcJKveg5wJfl9aqz7VvXvQe8f1zVmzv O8MTHaj94N58fsHvgncf6N7WSNWV7BL49BZXexuckNYF8FzprH56LnAvPr5Q P3gPVj89F/hcVj+9F/ilNlvqnh684Dnlf0K4P7PQbVVqzvg3cRTH8fG4ms3L pEMv7g+8Uxt3LGGYjOo34P7qJ5ZHovrhPy9n9RMfernlo9cbihWeLH8VBw6/ 0Zy1k9rzgs/X79nvkp7pF9k6zq23G4K2Lpa+zzTk6y/vlozuMXqWlJfGOlHY OZNVMXo+xIfw9YuZsfHPfH0lbsvXKYx7LCyNsZa4Hc9nXkqrGC/Eu/G8peZg ZeJ0fYmj/xe8rOhXNA/CP5zK8n5kz/EejbbOCp5W35b6J+L3xV1OO9Sq40Nc i8fp/d2sn6nbSRzrwtrV9Zb59POhfjKVx7NlM+W/tvT3Jq7B49Bb6Ud/+E+S 1usRLx+2SJlSs4lUzwYe311Z+L77b52Jm/G4jL8XqgfxI9efOL6n3Tx5ydjN M3wonsL3SPbdTEfs6v5CBrsNntGxkWdYXIYMdpv24/xs4PrtebYM4wj8Gt// jnEEnnfpwxGNtRpytB88aseNqfs76MrRTnCV+K8xHS61kFNeC+czZ15d++1A Q5pfwJ+/yH8wyq0ZzS/g438Ea13wNqT5Be+94Ooxg+rJUnyNfO/Min3BbxWo fwXfN/SK7+MGX4b92jcZx+8m8np2VOz//UJcgbg10GpMkZsW2be/88k6Y8xJ N+STdU7/2VerQ+MulP/uYb5fG3wp50WcQ8/HvJ6uFftnzYi78PbEWW70dz8l o3gTdqP0+5/9ZWnkd4Gzfe5v46DDAR4nPuD7o8EPcV7GOXQYwutZzvQhXsDt UiLTh+Yj/b/0STeucxkc8aZXJf8tgNffkOXh48ARb57Pt7Hu/LY+2YH9vJ0n K8W5g3k9zhX719Rpvvi7PScdDC/jfeF3Syv2QetI/gCvfwff70zfqWJfOed4 L/hdW/a+iCPuPsfeF+WX0J/37WyxfpFuTSo/kfsVZ4Knygd1kezARZ6HGb2t 2ca6HSTux/M/L8Ja+83cK3FVnue59XCNvf1giceOZHEoL0/96jJfT+fliQfw dXzDFN0/7SF+ga/X335UEva7PTS/Yx3nRBfVroHzpXkfeZuZtV89rNXTkfq/ D1/fecn3O9O6HueZlfgonucZy/dBg4/lvC/naCf8iqNeD+LqbZHWB9fxdn6P LrXp7edJvJSvK51asCpztI9Uvjlvv0dYaHCMpxSHnubzuMY2r1ce46R23uV5 mzF8XzOtr3Hem3PUU5/nc9xZ/cTncT9EndVP9bzj8yPXjfhHzrluVA/ysRfa /exooZT6wzaeF5X1dWwbYC/xNjwfu3xZJ6+2/SWOvGto8knNPg4Sx3dBKi1M jsRP8SF/DOtiM9h7J4544RjrJ1QPnfPJ3hfFL/DTZrF8GsXvsP/NK/bVptF6 H/J4fpXibuTrrjJ7Qv4G7PAnvh8WHHY7lnPYGdjhQSyfRhx2uyezP9Qf6DyT SnYe/IfWov90ptqRPYf/mc3yq6QD1iXtR9fON5ugQfYW+bpAbldRfjzPw3Ri 64NUP/xSZ1YP+RUoX8DyacTL+bhYyPJvxJGHEdn8TnmSVjxv48nybNL3Bnxc +7K8HHHU85L5A5RXecn921SWZ6O8yhZ8/8/Xx2nfFh/XKhMq8njEUf8k5ldQ PanYl8rXo8GRH57A+w/6Q2v+XAlsnZQ47Ewr5pfSe8fv8n2U9N7ht1v/18Wl S5JkZ5D3u997bWuPFdL3JPCL1Pl+TJTfxcdRIbNjxG143H2Z2THiiFMmjq34 XeKIa96x3yWOdds25y1l1islfxXrsGsProzZKJc44voB6x+VXV7uTfM78hi9 Rnc43Tdf8uexznui6xHVFSOcqTx+t/mY5KVxmxyJf+G/q7ZuVrs5Ne2l/A// 3aYJfn1VbzlQe7BOqvAJz1W/KrUzl6+H3knVzzv3V7xA31cfmLuwx+/yOF8U 3+O5CduWtc3Ro/NzwO+6JAs/q6W44DwT8Dsbrh9tflm6zw585pLGC9ucle6z A88UXsRGNpPuswM/IexZF79Jus8OfMz1h72+XpHuswN/Md9DmOMt3WcHXnIm 82SratK9geCaQWsn3gqT7lkDX1oW1DK/QLpnDXyH4LS8i4V0nx14PVmmf4yr N53Liu/u8nOTUsIP1yfdwF/pXdV/ezCZdAPfs+757gtrpPvpwPVWxGjr6rYj 3cBjsvRyWhlak27gdzfOXCYske6nA3deYbVtzGHpfjrwccMbXWq7XLqfDnxH iqGTyyrpfjrwS841G322kHQDtz1rF3Juj6Qb6TCh+5KJBdK9aeChaatfLmoq ne8HHrW7uc8NWx/SE9/XvR4e8DHptC7pCb750caTTuGPSU/w/BUlrwwOGZKe 4E3O11o7YUQb0hP8e8Jy3eHzO5Ke4Kb9+qrsjLYlPcFbrIh85XPHkfQE12je ZXTOGTnpCW57Oll1yFnpHjpwh40hOb0mS+dhgrfSv1FHo46kJ/iuwJpjni+U 9ATf/yO2YG+SdA8d+HS7L7Ma1ZbOwQN/lhJwvdtuJek8hn+H9spvvLytkTbp DF4ca196ZP1D0hnc5cqisG2WLUhncK1VKWeFs6akM3jSk5aK1ID2pDN46tWL Mf11rEln8KcFLzP3FdmRzuCHQs03j3/mRDqDrxg9vOaE0y6kM3jEf7V26ji7 ks7gip1+RztrSff9gXe33VTSKE66hw5cO+zo8S09JJ3BLbq9SA6+Id1DB274 n0x7o6+kM76Xe3RayDh8vgbpDN7W//vm14/jSWfwsyUhhQYvG5HO4L9O2YS1 r29EOoO30jcvGxBkRjqDB/nn56rX6UA6g3cOdmx0odyKdAZ/Ustvy579dqQz +M6y2XsTZzuRzuCrh2jN7DbLhXQGd78/JP6WryvpDP4pbIrb3YHupDP4+aK+ k1SHSvf9gQcbt3n9RCHpDD671qpJXx9KdgPrdyOnaVrXDVAhncE3qLvPOdTy KukMPuVA/6PPQ3VIZ/DezY/NsXNoQjqDF90bE//C2pB0Bp8zN94ww9SUdAYP +5kz4me4BekMnmh89OC3e5akM/joPOMzPSyl8zfAo8f2rmE6zIF0Bv94u+ma oS9lpDP42pW2LXvkC6QzeNeF3S/1iHInncF/df0VVxgk3fcHPu/enYwvXlJ/ xncLmeM7W9e4la+Azo3+yj8IOyOcoTPK/7wwP1dRqkI6g4deTkx9qKFFOoP3 M3g91+GNLukMfsvq6vW9fo1IZ3C3SXU+HpnRnHQGd3q7op6hvxHpDL4q6VPx 5+umpDP4nrJRCpuubUlncO2xlirvbnYkncFvtp5eWnbQjnQGj8zsuUd3lHSO Gfim/b9CaincSWfwCEv9WunzpXsVEQdlFBWeKl10iu6FwXeMw1g/p/OdwNey fk7l8b3iA2Z/qDy4ObM/V/C+wE8x+0PnmYOXMvtD55mDGzH7Q+eZgwcy+0Pn mYP7MftD52CDJzH7Q+ffgocyO0PnUYM7MTtD50iDj2V2hs6RBvf/VGFnyO/F 94rP2TxI+oAXsXmQ9AF3ZPMg6QOuweZB0gf8IZsHSR/wFDYPkj7gT9g8SPqA 72fzIJ3rAr6YzYOkG/gaNg+SbuDddlTMg6Qb+GmzinmQdAPvrlkxD9I5NuB6 p57+mQdJT3yX+JL5b6Qn+Abmv5Ge4J+Y/0Z6gjdg/hvpCV7E/DfSE9yE+W+k J3gz5r+RnuBqzH8jPcHdmP9GeoIf3FThv5Ge4N62Ff4b6Qk+54vWH/+N9AS3 TUj447+RnuADMnbM/u2/0Xk44Od3Zcb/9t9I5+l8HecziztIZ/CXLO4gncF3 s7iDdAbncQfpDB7N4g7SGTyexR2kMziPO0hn8LEs7iCdwVeyuIN0Bj/oWBF3 kM7gX1dXxB2kM3iiTdc/cQfpDN7v+pQ/cQfpDD7cYnLU1GaSzuAjqm/Wq/PZ h3SezPPVPC6m8zzB41n8S3qC8/iX9ATn8S/pCX6Mxb+kJ/hoFv+SnuBPWfxL eoL7sfiX9ARXDKyIf0lP8E7Hx/2Jf0lP8Bs+rf/Ev6Qn+LIY9T/xL+kJHpsQ 63VKJukJfjRCo6xnV6U4d83k2HCTq1K8Pzbrs1eQsfB1yLGPJsq7xBtvnznq 1cR2QkzjorC0mETiI/u0FLcstBYmL1h3yEQp5Q0Kkid2PKLhILTPbX89KO05 8eCvkyO/OcqEJJ4/Af/G9+t1DK++3EQp5QdO3mnRKnuwuxDm9VhPGS7lB2oL Ld3X3/IQ8koidwelvSNutOK9qpq6l9DpxIT24SZSfmDnqCSrti29hUPDXS7G BOURj9Up7nLE1EfAOWzgN0aGxSZ3U9I5eIiL1zU5kLp2Qxs61w68aEO/HJOC jnROHXg/o64ji0bZ0blz4LE7R0waGOlEebxalfbZVefnIoLrXLtxKlfpIQzj 5yKC7xonrn62x1OI4+ewgT9uEpCY8sRLaM7PYQMf1C80OviLN50nSfmKxwGl mbWUwrIrq5TK8EcUny7x1rtuvqmD4N66zfBwkyfEnzg4XY3RtRHKw27PSYtJ JX5A7UjgRWcHIZjnpWdU2teW0jlononyHfHc1R4Zd6p5CjbVZLWU4bnEo/ee Spg4zEsIj9HaEpT2kXidH1Pq7oj0Fj6NTTUJN5Hi6LUbnl71ra4ULPj5gYj7 +qsNG3RStaOQw88DBN9r8+Bq4Scbuh9kTKX9XziPHXx4u/43l0Z60n1MFLfm Huszz0C6d4n40hYTHi/2ER7ZDrVThj+T4s0xAStmHrIUmvH1iAGV9kPNqvl0 qonyoxRPTTK7P93FSxjJ7d7f/ryKVorsELd7f3MDtfcyQ273/ubd0gpl97nd +5uHJPyUreB272+e362a3JPbvb/50FE15MhXg9d9rpMct15TPpjbvX/as6Se /BK3e//UE9JIrs/t3j/ll7eQB3O79zePvGQiT+F27596NrSX23C79089Tk7y tdzu/VM+xU8+h9s9+PPmPx5+GlpXRSzidg98rbH6tm11fv8mt3vgbwa2y2g8 WFeE3QN3/aZz9ef5hiLsHviUemMjpyQ2E2H3wGP5vi3YPfBBtTqsDE62EGH3 wLMNF4z5OL6jCLsHfvj84RvlRnYi7B747QCb7N05MhF2D9y22s9OIcluojq3 e+D9d6WXfarlLV7ndg/xy2sLK6vvwxuJO7ndA7/4buH1fQoDcQC3e+BObRMu DGnVSmzI7R54cmzhjFUL2oiwV+Bxs58O6JLpJsJeUf0nxK/tt3qKy7ldQryQ cOV2jSmzTEXYJfDY1DN91b61FWGXwE/Luy66/qKjCLsE7sL3W8Euga/x1wyc fMFNhF0CnzSpXm3Lyx4i7BL4mKG5Oq+ivOh+BPjhIw/m/mggdBRhf8Brzk94 qtXQlu4PAn/M9zfB/oC/1nufZT7Jk+4NAT+4OKXt+m9eIuwM/NJtL/ymWbjZ i7Az4GV8Xw/sDPn5N98NaqHwFi/ydTH4XX58f034r9jSdsqFFBeb++2Y08D+ jOJqZm1T3/BoKX6/u/jp5vICxTM3V69zQdeJX3i2rPasSFWhm96cmcrwe8Q3 bthfvveclrAqZes6E6WUH/jovWlb4TEjITd0TAtluJQf2JTXbO2Rdq0FH4X9 kaA0KT9gOqRXwa/XbYVPfFyAx7JxIbzh7Uc/D2btj7vH2w++mLU/7iVvP/gJ 1n6xN28/+CLWfnEI9sdxfoXvj1jNnwv8NXsu8QN/LvBl7LlEJX8u8HrsucTP /FxZjItAu5FPPvR+EWfB700AL9C59eF0DTWxDj9vFnzUhJkdWsyoJy7h9yCA f3h59Mcrv6b03sFd+D6F6fyeAvD5Gs+V4wzbiZ/5+mDNSvsOOvNzU8EN+Dmr t7j+8K9MzyrX9/HOVgz9OPZBTFA2zXdRp2qbnOsg0Hm2yHc9lk28f3uaI/kP KH+bjVM6d5fyaUwfumcKfNms4dPGXiqmew/RT9LNj009fT6d7vtA+S9MT7qP BuWvxt2IOOJbTPdCgi86O8kn7UgH8ivAz7U4s76/hg2dl4v6nzG7R/4Gyj/v ad1F7ZojnYtrWmk/As7XBV9+ssJOkn+CehZUe7Ex5LFA/gnl8aK/fEjKku6F /Ht+FAPTZNDnH94jge6F/McPif8gM6nC30jv9lX2oAp/QxhSJgutwt8Isawu 96rC3xBGaMoRZ/3Tnl3a8iFV+BuRtvXll6vwN0L6NpY3rcLfENe0lM+swt8w 6NZKDn0wHp+w/Crd8wiexPoP3fMI/onlVykOBZ/K8qsUh4L7sPwqxaHg0Sy/ SnEoeBuWX6U4FLwty69SHAo+i+VXKQ4FX8XyqxSHgquy/CrFoeDnWX6V4lDw dSy/SnEo+VEsv0rzF7WH9U86xxi8J+ufpBvsyYuRuQ8suzUh3cDHm+x4/tHb kHQDl20NODzC25R0A68z/8XVyFsWYhN+rwq4XcPQqQMudxSfcPsD/ojZHxH2 CvP+PmavaJ5dUOn7f8yz4FZ338s+uPyO3y9HqSrDPxG32W9mGdfAh+zn9Er3 Qczk8RrlW/h9ENANcX3dqQH3x9z0EauVM3sLPo7Z27hq/LtucGO+jwB5KnD+ XcEV2DfYmYgFrg1jVzuRfQO/pxH31aurgjje40Fm98ifAb/H7Bv1W+jsO2HG Fvev0r2Z4JvZ75K/BH6L/S7VDx47L1intZcb9TfwZjuyPzvVlO5bBNfvm/fh QZI39X/wHLaOQ/0ffCVbx6H+D+7I1nHEz1XYz5N1k2T7jfZlT0jbTzoslO8t s+j7Jg7+JPjgbQndFiS4isgDUP/n9x6qV+KvOUd+ALyM34c4vBL/xfk63h7M CyGsPYoFPD6i9RoWHwn20d79X8RcJq6n27DFjTY/FYd5fAEuZ/GFsI4/F/gw 9lwC4g70tznuXXYnd1OKn3lcD74qYlzwUtGH7An8h85Ln3U+JZPuzaHvNFod 6mrpKK2zg9tV825Q57OPgHEH/2Hjg4pxJ+B3wXe9V5Z9mCbdP4h+7tO/op8I fjzOwnM9Y3GWYM3jBfDzg3bMVdR3pvwG+ZOMizP4eex4L6efPPoq9LMl+wx+ gq0zkt2A336smX+PPHsfEfkQ8PF5L3Y/2CbZB9gNn7S56l6rfcR87leA/+L7 DppxvwK8aHJs1tt33nTeO97LZbFRaMMyH/Egf+/grfo89z5iKv0u3tf4ORaZ v+0S+VH/zNdH39C9fv/M16EFdK/fP/6Aopju9ftnHn+pIse9D//Uf0Jdjnsc /qlnQC057sv4Z9430ZXj/Px/6t/QQA679E89EU3lsEv//K69Ed3r94+/NNic 7vX7hw+wpnv9/vndkz5y6PlPO1u70r1+6FdHmV9K9/qBv03X7Nt7gjqdGwBu lHkv+VaCNsWt4Eu7F9Z2WqxH9/qBN/p8+0BfT3261w+85NGnOqNnGFCeGXwb Wz+lcQ2+paDroUFbvMg/QT+PyYq7/CrIhuoBn36rYr2b5kFw3Os3uxJPrHTf H8ZjPlu3dQl5Uvr/1seHjjsrS6vCbkdGirIJVfjJIZPTZS+q6M/pRRmyE1X4 yemHP8lGVtHP81vmy1pX4T+LGd9kE6ro/waXvsseVuFXGxiWy3Kq6P8619Tk e6vo/wZKLXm1KvzqtU115B2qGBc6i3TkQ6vwt4f66slXVzFeuj3Wk1+pyg// 1ET+oYpxpHJcX96sCv98rZ6hfFYV/rlKQmu5ehXjSGeFtRz5fLz3QSyvRXlj yiewfigEVDG+8q+4yeHPo1/l2dhss96iI17j321OrrRvAvYZvF7j7WLaPh/x Ki/ftdK+hme8PLj/oV53fpendoJfTl034/c8KKgdTL4REyR956BxbJvPmrP2 wmzuZ4LvaB4fdnuJIByqwv6IddvJa1Shm4HSQS7ydqIe7DtAO8HVu22bk9ve k/LVGNcb2e/S84Lzekgf8PKuFfWInSr5veu53zu7kt9bVOkeNOj8JO30/fvT fER1rg/qLztaoQ/dM4j2G1zccfPqN2eKo8GLLOwKr3Vzo/UR8M3mM5+WvpPu HaP8DKuH/BP0E2f23Q7dL4byn1n9NJ+C8/rJ7iEu8Lp4puFoSyVxWhcLGVer V1cltRO8epvY8N/zsvC2Krs0M0c2qQp7ovK2RNauivl06ENV+fsq7En6Aw15 VBX2JD2utrxjFXZjaN168k5VzI/dio3lT6vI5+sctZRD53/67ZV2dJ/XP/02 Ui6Hzv/YGQNH+YgqxrXKdqXclfux0L8G82PjkGcGP3R8j8qlN3VFD55nBt/k uuDhbuMGospalmemOPrZVvG5SlPx0o8Rm0yUr4if/d7krG2ugbhv0f3ooDTp u5pRu8dcv9lFurcL/WdgYL72hL1WIu6Ngv85huXx6N4u9M8fbH4Xivn6Bfgh tn4h4P5T1JPP8n60jgkusnw+nTeIepyZnyCc5+sg4N/YOoiwlOsGfpnpRuuh qN+VrQvQPV80vpi/IUzl6yngvdl6iuDG9Qffx/QXcO8q6nfn+z6w3gr+gq07 0L1gqMeC+TOCJV+vAV/N1muEX3wdgewqe78C7m9F/YtZXpTuBaPvA4MX9xnt bEn3iKGeGokV/pKQ1+Pei5ig11Ic4d7o3txSQ+EC7z/gIus/dM8v6o9h8QLd 84XyPdRzboyZ60D5Q/AAx5Pp16sJxNE/BzJO92eBe7J6yD6jf7aodH8W+vNR 88AjOkO8RW9+jxXK9+H3ZCkr8b6cV3OIcA03yaJ6iut0rxPgJd2TBb7s3aq1 XtedKL4Av9Aj2eaCp3TvFeq3XbDzRp2+dhQfobzB97MpO1r70P1r4C/uHcj5 vNdH/MDfC+zqcNO1z19oCcIgnk9GXJm6Kbq8Wm5teu/gWYfCI4vWuwjQAdys r+6QEc1dhZ087sb6denL4L0H8tUEBbdL9L29+yhTP/NmwkXeH8BP124xwlAh Ey5Zqj6LCcogPud1d9XzmoKgn/1wRFpMFvHeWk7HuyS7Cq+5f4t1akex8EfX 6yWK13y+AE95eqYkKbGBMJrbGfCM6gtcTJYbCfBLx1Q69xV+Jnj5hcFt16Q7 CLBv4O2a9BBVH8jonjvwmCsGeot7CwLiLPAnEcO2mNi4Cco9j0dcDNpOcXqA +e2pQSUfFCGdDivWm8QST3fUch39TFuw/143KS3mJvH6y1eevb6mqXAi3ldj fNoD4r3qbFrcUMNEWLWzrGu4yUupfp3/Sq8obATYbfr+uVPNk6maDgL6Lbjl jan11lWX0T3dGKeG4w8tevNfRyGX9yuMr3g23sUevF+h3wazdYq4TnzfLuVt brBzOB/z/gZ+ktkZMZL3K/TnwgyZru4FFdGF9ytwM/uI626d9WieAo+bon9m xyhbEf0K/OC70r5hSkcR/Qr8fWMx4ribXEQ+HOuSc9t2cFoq/g5heL8CT6y9 7MyLCY3oPkpw99GN4gI9jUX4FeAhVw92XvJRmh/BVVKd0tMuyWi8g0cMjdC+ 4SJQ/hC8+bhvpxx13cQevP8gT7J3vmld9dzSuEW8/4C/si5YdCetsejI+w94 9v30klptW4mneP8Bn6tZM7/W/Xbiat5/wCdtfZSh7eJM8z74xms9x9jWUZDd A9/k0tR5ZE9XcRjPM1P5qa+ie6i6i1ciHQemxeQQf74qdEPD1R5i9US2/gU/ +YOawVLflKI4S76eBe67aLNeaEJjsS73K8AtVHNTnGqZisu4nwC+y7SDdv1J HcRyfh86uFlfRc3JChtxJp8HwW+4nTsbuVMm6vP+D/7TspljvpUgBvP5C1zV cM6+zM+uYgrPt4M3ezwr++Jid9GG3zMOfnTJtRldCzzEcD5PgfcZ6rquub2X +Iiv5yIumL9hgOrzpY3E13w9F7z9/ID4QFVTsS9fzwWfPiB8mtP7DmLO5IEp QWnS94G7j9bRv3LURtyX9uNzTNBT4ru0yz1vN3Wk9V/wAfwcxTV8/Rc87auZ lcW83/2Tr/+CR/XpVaph7Sb68vVf+n6v8Ws/44vu4sFCdYdwkxzit0dejnJq 7Clq8HgH3KGF3elnnb3EN7z95C+9zLzp6FVPiOTtJ7/x4Xm3y5caCcn8uxTw BH7OoRX/LgV8OvsuRVjLv0sBL2TfpQj7eTvBBxe8W7HN0kqAnuQ/s/aIe3h7 wN+x9ogHeD3gPVg94i/eD2H3eiU97KTpb0TfdcAOu/Fz7TBeaD9O/7mbBrq5 Cda8X5EflVTbr8DQRVjH+xXtT5G7jr98yJXK43ejWXkR5cHXsfI0TmEnm7Pf FRvy9RfoU38yO59nuP/e7mkx0veKGTaKDfH+3sIIzvF+jSwXrv/NRYsq4jUV LRX5yirWVdfaqcm9q1hXFffU/H95y4699cbHzW8uP1BV3vKpmfxZFfFaur+V 3K6KuCxew1XenK+L4XnX8HMYAvhzgRu5fjc+o6kQoAPee1PGaX0NfB7f1/9f Ffm0kzULZWFV5KMi0xvK86rIOz2KaC7Hd5547+/Y905CON+3TvkQvm+9jPdD lO/L+iHdcw3+kO/XxvkbeL/bFk82qNlKukcDfIPF2I6Di6T7TGn/b/piYfMF 6T4I8DqfmubVuyvdBwFuaTHxwpNI6T4IcAuD8ABdRzmdSwBe+b4MyifsKfhc r510Lhb4W79jU28FSfc+gLdWW6ttECbd+0D3iWTN1n+8XtpXDr44VXPw+Hne pAP85PXHTrTKGyPdiwE+++HxZl4PpHs2wTWqW5nWuSHdswk+3r15iHKNdM8m +JE1btsPm8r+5/e3eF5w1QVR1wR96XnBWz3PsQ7uLD0veMaN/kf2Dpeel8qr Zz5sM9ybngv+ec3Br8/br5LupwBv+HyVXoCWdD8FeJzd67XTz9nRc4HXkPcs FrydqP2Vv79F+8G/HvoesydRulcC/NWXGk9Ha0rtB99ukWi5u5V0jhb48ROx Rsvl0jlR8NvLLn8M2rVauvcBXP7T49L+cmvpfg3ODUxcbHdNsKd2Vv4uF+0E HzzhYD2LMdK9DOBRsmMLV8ZK5xuAn3g5zjmsyJvag3lhx+HAY3N8pPsRwA/1 3jV81Fjp3F3wyEr3F4A77lh9vGuRJ+kAexX6JG/Xmxv16Rwq8E7PL8fmb2hM 5wmAn6t0nj99LzpQtbaqtnTOIbh+4prGPhOk8yHBo/j6O8YX5qlrpYsKRLOG tB4EfqpvqkLvbXM65wp81aE1rQdrS+dVgl/n6+/QB9z4lb/iy3dXqh/z4JPe hz//2tJKOn+Ycx8xc6vYyoL0Ad86WvXnw2mWdE4X+MbDWwOjZ1mTDuBy/j0n 2gme/Pxa+ah5bvS7tC+seP2e/y5J596DT4h097aqb0O/Cx4XtbYsYrI91U9x TaVz6cGT+m8IjPKQznsEn+N1NW/jPi/6Xfjzt9V//th/WTofHnzVmpOvQz2d qH7wyue0g5+8veKNb1Nvqp/8/0rnpYOXZRcdWGwiIw5/o/J54LDbafycB5wT CPvWvmlfi7t1pXNowfk+I5p3wDM3bfVL7CWd+wp7Ms+kT7Oy9do0b4LbrBCO +6xqQfWD8/1iVD/47oaHVB/Plu7fAY90KP3vp6Yb/S7Zh44d29X6UpN+l/bR JzT1tFfVp3kK/OPIPv7/rTcmew6exfMhaCf4Ab5fHu0Ez6/f8lxPRxfpXHHO zRs07O8bL53PDN5hkP/L44FS+2F/YnMnDnUdqkbtB1fZs1D92hzpHB7w1KO+ R7f9akHtB/ebfiYiNEc6lwac7wOl9oP/TO2YOu6XI7UffFuv7e+rz5NT+8Fd uX+OcQT+lY1Taif8qHhmr6id4OeZvSJ7C76O2StqJ3iHZ296CxesqZ3gD7if hnaCy+aNzVrv4Ez2H9zk/qhDGd+l+9bhH96udD48+ANmt6l+8Nlfuq11G2xJ 7xH2qkOQouDecHU6tw38yH35PPu5DWg8Vt6fi3pgZ64v3nnp2h0tqgd8ycgl u50f6dO8AD7V8vacIYYmVD94FN/fiucFz3BvotCydaF5CrzB2559ci8JZJ/B A3+sPDmvqxu1E/Zq5dFl8Utt61I7wQ8brJ7yyqgltRO8eN1Ku21urWl+IV4g LylLaU/tB6/O95Oi/eAzlp/ulxgs3b8J7iSs3LOmXLqXBDytKMll9DjpHg36 3aCnV+RXpHPXYVe7bo0IvuyqS88F3slPRf+KhXQvBnhzz0dfWq2R7s0Ev9nv avcxadK9meCbhu2copdgQ88LPobv68Tzghc4fXM81UO6rwFc/8Xi7RuvSfeG gNc4+ex0bH3pvgbwgAYRiSe8pPsawJ9MLNrRfpAXPS/lSeIz6uxpK91nAW41 eIHV2BLpHhDwQXuHX9h5STpvE1zXwEGmlSDdZwH+svqo5/cjpftTwFP4fkzo AH5oyoDr5+9KOoDf0bHTMGor3VsBvlN57f2lcZIO4H37193aYo2kA/hFpdmV Jeul+xbB76109v8d70j30XB/abfVhd/RVBmdcw5ejd+7hOcCV/LvJFEP7NJB Vo9CWen782j+/XnTSvH4ikrnIqKeRfw7c9T/d7w8ptMTuue68nkO/pX2QVzi +yDiKn0PIOffA5yvtO9AVul+BPIz3dKWaExtSzrD7p2rdM427etJGd5lR5En 6UN5P/69q7LS96t3+fereZX2NYzn+xrQH8Ad2LxA9UOHX/y8ZbxH8OsqaWXX 9pUp4v7HdyDg8Iv8h2d1mmUvccyPIf7J+4yXSfEX7I/B12WNo/Wlc4DJr+Pf 9aE9/+RzFO/oHvO/eWOXQnq/lff3YRz9k28ZXU+OcfTv9/yN5NDtnzzM0+Zy tIe+W2P60Pmx/3xf97Sczhn+5/uBOWpy9JN/+L2acmWlvJYlz2uh//yjwwYz Omf4H15oRecM/5MvmupKHP3qdKVzU+n8E/79TF6l9db+fL0V5fG+Zrvpn/AS pHrQ39oO/WylPO5FdqDyd/54L+j/zutrJA3+HS9srpS/8q107iL4dhafUlyM ceFW6RxFlB/C4lbyD1H+ET8/B+8FXFN12FPrAW1JB6qHr0fjeVE+hD0v2Ss8 7xye90N5PO+igz0Xft0unfsH3dT0DyfY1bAhO4/y8UsWOYcdls7/hH+iti7l w+Acb/H/AHQcD5c= "], {{ {EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJw1mwf8V1Mfx3/3/s69J0ISRSFJRiGUGcomyg5J0aKUeIxIpMiKzKxktKwi oYwnESErKyNKKpUZSQrl+bx9zvN6/c//+7nnd+4+5zs/t1HXfiecl1cqlRZF pVKVfDJUKrUla2hjS+Ets0pljvA5klurfSq8l3boJbyT2mfaXqzxYyUXaPsm tfr063inqj+XPE/bp6vVUttB+24ruVS/PSd5n9py4Ubq30b4W+G52uc0yark AerL1K7Q9p4ac7nwjlyLrq2p5CKdd4nke2p7s7+2V2jsJMlp2t5V7TdtT5ds rrZS+ETtu4fw9xrzg9pqrkXyR7U1wlMk39Hve6r9qe3vJGer7av2odpotbXq f0FyZ7XFGr+Khyc8TbKTjv+PNv8r/Kr6dlP7Xdsv6X56Sm4sOZ9zCz8hua22 xwg/JllL+26o8W+pf4DaaPW/x7PRbw8LPyL5t37/S63guah1UdtH7WO1cWql Wh0d5yDG6RiXVb3vuzrOgepvw32pr7PkXmrX6Led1H8lz1ZyO41rJLxE/ZdX fW3vq+8i4VHCbwrPE/5e+HHJe7RPY43/Uvgrte+4F8kD1ZerXant1pJVtUHC 62t8EH5NY/6jNlJ9M3XMA9QOU/8IbbcVPkrtUCan2j/qP1ztAo2/T12vq+9C 4fuF3xA+XsfcXb9/p75ZekavS74fK5VdykrlVo1pJ7mbxm2qMd25huhnf7dk PbUG2n+O5Mb6vTbzVWOO1e9nSI7Wfu8Lb8IzLizrqHXiHUvuotZXuH3VfQ9r /Hoa10W41DHXCd8mvKuuoYZwZ+Gpkj+qDRS+Q3K90u/9feHjJDdSO0W/fa3t PpJDJWPh65kieWXp9XO25CesT/X30T08qnOfK7yVcFH4ep6TnFe4/xrJDwvf 5weSJ2nfHswr7bdZWqPM0QWF7+laydlpzLuSPxVei3dKvpjmP9f3lPYfwBzX mA31WzfWh+QitfOFb5BcqNZP+HrJjQq/hxcla6udLbytnlUtHWdhWuNL1H+h +m+SXKZ2sfBwyfXVzhSOGr9U+CLhmwuvK669n55JrcLXXFNjagqfJfyoru1b 4f8ID5NcrHaB8I2Sb2TWCfz2q7YHS94t+XLSIedp+wdtXy55u+TzmfUPz7RR 4XX6qOTPhef7CMnlhef7XZIbqHUVfp65mXmucu7aut/FSZd+U/g810l+V/h5 nsqzV7uRfTX2cb3XgyUfleyl/uHMQW0fInws5xJuJXw4z0p4ncadxPvRMzlY /e25NvXvL3yE8C3CBwm3453mXiPNc8/FGek58Dz21JiDeHf67TVtDxFewTMP njPMjdrCddGRzJOqdefzki3UWjOXtO9+wofxvljfVV/b/cJthU8WHiX8S/D1 v6fj/yF8TMVzdVXwdbIGT6h6jo3T+DXB936/7vFQ9R/Hu1N/S+E2PE/0ivDx wvcIrw5+Dvdq/J/B45tqnryq414l/Ivk0qp19jPYl6rtxmTJvhr/Ne9d8rHM 9nGRfvu8an05nrWo3zqpfxPWo+Qjagv127T0Tnm3BwXr2C80/pBgmzhX+PFk Z7GpRwSvg2/U/1RmHYtuPSp4vixU/xOSDZPd/K+Oe5nkpszbNFeZsxcG266V Gv+Wtl+VfE/3+7PkX6xByVfU/yx2T/3Tk15CP/0aPE9qq/+PqvX5dMk39dsw 9a+R3ANdj47Ss70g2A7/qr43Cs/bXnrOM4VvEN6M+a92vXBdyZba52aNb6B2 FffP+8VOCe8rPER4C+FNhU8Uri+8mfDJwjsINxY+V3hz4TrCxwtvJKzLrXRg Hgvr9JWThDcWriHcUbimsC61cpxwE+FGXCd6u/qvuakco38bCOsSKycIr1+1 f9ReuLbAesKdhLfHfgv3Fm4gXJc1K3yO8M3oQ+GeVT+rF4TPFr6JZy58ny5g V8l7mQvqb6D+bth64frCZwk3FN5CuIvwTsJNhPsK7yi8HTpf+Hc9u/5qlzB3 1L+5+s/Az8KHE+4hXEe4pvCZwvWwZdg34bpV+3vtko1jXbA+RpVeF6yPduo/ Cr3HeaPXGmtuL/XvITxA/bsL7yx8MTpEuJnwRcL7CLcUHij8cOk1+Jf2ba3+ /YSvVv/e6Ajhy4XbCLfCTgmP1/gThP9mHQgfLfw7+kBjjhS+TWPmYn/UamKH 1b+j+i/AzgtvINxVeBPh9YU748No3IXYV20foP59JAerf1fhnYT/wzyJnvP/ zn3WJ/YCvSjcVPjCpE/QhzcIzy58PSvQW+o/GJui/gXoQXQvvpzOWS+zfuwR jD9iXui+7hQ+QHJOYZ8Qm3ijtu9Q//6S2+t6RggfKHyX2sPCbUvbEfb9g/eq Y92CjtF5X67aRrfSeXbQvndpTOvSax8f7GHJGVXbpgM05kf17Zf8yVeqtl/7 B9tL7OZdwtfhR+EDc11qDwgfwbWrPSh8pOT5alvgBxb2ixiP732B+u8RPkiy UfS9f64xN2n7buE2kk3Ufwt+rPCMzPe+Svs+UFq34S9dL3wb1yp5g9rtwq0k X8mM0de1S9/HGI3/TLK92vpqZ1Stf6Ywz7V9r9rf2IzMvjp6+Rjt20rbq7Xv B5IjM/v5zSTXVaxbz9OYYfjN3K+O+Zj6PtQxOycbPTW3j4oe+0j4Wo0brvF7 S9ZV20p4Pj5kaT/9WMnNSz//P9T/Vub3RRxSI63No7Gbavvmvr5P8VPU1sNX UztGLWKTdJwjeY+lf2+nVkPtvtL2ZEryc5hLxDw7s76EN5CsWdpe31f43RJz YQN21jlHCRPbjNCYhySP4vkH9x9e2g/k3RF33af32FvXPU/9XxXW6/iovG/e ezPhqcE6rRt2vLSNPFHypNI29WTJDqVt4SmSoXBcuSDNLeZYI/WfWtr+nSbZ RW2S8JmSZ5S2l50lz1J7Wrgrc1bXdrGubVHpWOxHXcOn+JOlfW7i1Lc05mON +QI7Fb2u5ur3jwrHBVsJT1DbSc/lSclHWJ/Cj9Gndlm6zhu075Ha92P1jRe+ WviH0vN5G41/SHK0WmPhsfjwhWOKhqXXCz7wcN5jaf/wVsnL1X4VfobxOuYW PEfh9vjD6r8MQyfcUbhvmuOz0zyvV3oef6/fm+Weh7+gQ0vP80NZT6XXw2GS WeGYnWeCr8sc/hWdXvqd8m65Ns5xsORcXU9TXU9z4aal4/SBkl8SgxFvC/dM MQuxyw/qP0/9Fwp/L3yGcG/etdrP6V5Ya18ID5W8RM/vSZ3/s9zrdIz6h5Se 858ID2CsjtMEnZfWVDf1D+Z5l85XXFF6zg8UHiS5LfsLt5Tsj4+FH6fjXyo8 SfgL4SuFnxdekGLTUzLHp79ILs+83q5J8gi1DXX+O/X7TO23UfDYhyUP1W8d Mv92CHMcHceySvHtqdrevfQxqug09d2O7cP30X39ItlFcjO134TPlKzPXNf4 OpK/q+9a7JfOtTZzjgCd8m7mPAaxU63S8X4Dxuv9DVXfSMmVhXMArP3lOs7V 6B4d58XSMfd/JTcunWMYrTHrMuca0EWT1b+U40uuKnwN9xfWH/snHbIm+YoP SP6mvmtZs5ltIn4ysR8xBPOtp/BG0XHD6ZJR19FBfW9XPRdZp8TFvxW+znuT zmyROVZckWKTewq/715JVwxMc7JZegbHZ77nPzLrk83V9iCvkbZb5F7LrOkN 0NOZ45M/M+dc0JsNg/sf0NhCeAF+mmS/pJePVnub+ZU5RmVtci+bRK8v7qOO 8J+FfcIHJctg//MNfFid+yjtW6ITMvs52LMa2n694n5yOSdmjltapvncGLuq /T/henPrM3JxDwn/VdgvfUjyn6rn4AbBvveLwgs15nnt/yD+KsdBZwlvrfEj NeZz4XX4rsKfCa8Vvh99KfwPvqzwp8xbdJzwV8JVyX+0/0PCDSXv0fYc/MDc c6Ft5vu8TNdxtWTzYH1LzPSsZN3o/BU5sLcLr62P1TdQcor65+s4/YQfFf5A +ArhqcJfC58n/IjwbOFc91LVsf/Uvt3Vf6/6Z6i/m/A9wq/iNwbPD9bbILUX 1P8NuZHg+c/aIx4nB/Wa+kcH5+KukDxT7XrmkeSDGvMlS1uyI/6E8BboQu1T za3XbiYeU/9ybQ8XnoVeET666nnCvLonveMpkn8Xjvfx305C72bOK2VJ56B7 hhF3Cf+kfbPSOutxjV9btT6pSf6P+CrpnNvV/676V2r7DuJCfGzhm4jxhH/O bZsWVZxHuqvqe1mt/jHCXzMPJUerzWeKSz6M/RcOBEyldR+5zTu1/b66Vmnf ocIvCy8VvlF4pvCPwtcJvyL8nfAI4dmsUeFrhKcJL2HOCE8XXpbb55yv4z+d 7HyTzD7011Xb94mS56f1iI+0pcb1SDoQHdwj6eHupXUkeSbs1avCP+j4QzLP yQ8rtkuD1V6rOLc6KLOuuTEd/xv8Je07A58xeOxVaTy28RnJedx7shkfVWzD ORb52sHJZqE/Wcfnp2tm3bP+a1WsA9Eb6A/O2S+dt2caj87Zhhwy95Tb9pEb 3KTwOc9M5yW3f3bmvCf5bc6Ln7B16RwjuUZyT/jF5PZWZvYp9ffvMa5J9g45 NNk/7D66nHzeoGRnsS+dkq4n9iFXTz95h8N4Jpnjo0tK2653o6+FayJn8T3v M7Mf3iXpXuwWNmdZuubZaTyYvAP5h9OCbcy1SbeckPZlDeOfods7VpyTZQ11 JZ4W3kr4bF1znnTTxxWPvTSNx79oK3kH+YfgOsX2kttr312wv4WPxTGna8yq dO88lyalY3TGNA4+V4vg93tx5hh2vfSc8dt519hF/FP8OWoCd5CrVmuj/RZL tg32vR/PXWsgDiLfSu2D+It8IrUP4iZyr9hl/Hviww2ic1odon1p8r3kfbfU 9sE67reSrSUnZM5rkbOamPnc5KyezDyuY+nzkL98OrfNpw7SIt1jN8lt8IeZ a5KTcuemqI9skvv94UceouNcqv7bCtdZ8EvZnpA7L3uC9n8id970OGoIKfdB PEYOiRihV8WSbepQaxKmn3oNfuxj2u9Q7T85s37oVto+k0smduD45IbxzcZr zF2cr3RtpX1pTP+xyd7ekNbddZn1P35A+7Ru10/vtk9av/icrL9OOv7xpesM 2DjqWb0z5+151x2Sv4CfTj++OrFSb1Rq4VrN2Mz52SHJHx5VOG4iH0/dgHiK /PS8pCvQU8SKxEo8T3LhxEf4TeTayQ+y5k7XNRyt/usqPib1rjFpDZI/IAYk dzA5t99BHYe8IHkAcgfkFPidfOKG0TnUUyQvCl67DwTbevznS4N9fnQJ/i+5 9mlp3jKviS25H+oMLyRMvYX8ArmF4amf2OTW1N83jXkpYeJpfETu8zqdb0rm uXit2rPChwcfn3MRw7Km2JcaIr7brMzzg/iFeVQnxVBTM78PchWvZc5XUEMg xia+xid9M513ROrnuVN/nJl5PlMHII9DDodczsyEuS/iLt5f04T/f4/T0r2f FHx8apdPV52jJleN/iBHoL9/3/eczHbkrOC8V0+uvep4nzz9ycH3SN2TWIHa J7YQPUpd9RLhU4PlvsHz4cO0NtHNH6S5gT4mt4IefqFqHf9zmlOs8f4V54E4 Jr91DO7bLzgPxHm5ppHp+ByT/MNHmfUF64+4g3lJDu3LzLUGciP0k0/BB+N+ 8cOJKbHbA4KfLc+ZtU2cwb7EGrukHCK6t0WaJ+Re+pTWW59Fr925aS0PTTHp OYX7vkj9DaPn0bLoWiTzAR2F3kX/8m7I45PP7x0cz/8b1xeuaxPvkytkPi5S +7niOvvihAeke2G9kAcgdiFuI8Yj1iPnRTyNraceSL2UQALdNa309tWln9O6 9AzZj1iRmG1vjf02cy2enPw3mfUn+Xxs7fmSl2r/nzLHp5ckPwd/B3uOXf// fFmS3u+CdAxiKDD2k1wOvgJrnzU/POU6bikci1Fb4R6os3AN1DR5HvPTc/gr 3S/X3CbFzoene83S/XKc1ZnjOHQ/NqBBOja/bZ5+/yOdi3oNcd/Z2LSUsyV3 O0nX9lXmeuIxwfZzz2B7jl0nn0VtH7uLzW0fLPcKtsP0k5O8qnQegJzkiqp9 EOKJy4PzOdRfrtGYrSueV/gd+B/ERdg37By/Fbn9cDgY2J8s+fDN0xzj+rjn eeke+6f92beVxq7IPG/wg4hj0cWci5gcPwe9gZ9H3nBY2hd/hbzadpnr/Rvn fsesY/QGuvVJ9Z1YdT13vPD+0bWQV0rX76njP1vxetklxT6b5tZncCfIQdXJ bffhg4CZh9iCurl1HXP4yNy5CHKPm+Wum6NX8CHQI9cH6284IOQqN89dez0s 977j9Nvhkkfk5gTAMTgs9b8UnGulHrK5rr+RtveWnCg5tuK4sYHGHqJWP3cd FvwYPkkaw1iOx3H/f99t0/HfLezTkdPFL8Q/fCS4lsv1HKS2pX7bXv0QcphX XD/zh3w7z4Ga+6Olc/LUtI+vuqY8lmcRXCu5j7xRcH38tuDcZJPc+9waXH+5 N3dOn74RwftznLuFz6069p+V9C76F0MysfTvb0fHr7zHmmnu1cut3xqkZ0Md 4prgOAyeC/OFeYP9uKX0u0LvUTtgX2rl5PPXy80TIM9fIzdPgBopeEnFNVLG wB2idrBRbj7ADpkx8d6Q4HkKP+W0qv0T/JSby3R+ahMas7HwdPXtHl0vfFm4 lmQ99Z+m8c2E9xK+UnhnYgrhQblrhbujh4W3Et5BuF/uOUOt7UXmpvq3ET5b /d2Da07b0l86TieHtp3G7CbcP63LzmltMv8aoQdyx6r0b8qzCY5hBko21pjm GnOJxqwt/Lw31Jg9S9uI09U3SmPeFl6hMS1K6+p2hWNEfFb81evxG9T/JXGu 8AThOcKDhZ/AjjAPS6/d1oXnMM/tKWKOlC9axDsTniz8FetK+CXWdbLJ2Gby hNQuwNjodwpLaiDoZ+wNduL+FE8RV7EmDk/rAn9t76QTsIfYRerfvRLGLpDb w46iu9n34LTG4fvAaYDP0KfqHNTbyb5xXuzCwrQvtvmf4DwfPBx4EOyLXsNf 2D23z/BgsP0h53pW1ed5OXdOpU2yR8+V1gnkXiqpH109Kq0p/JmxwXaBPDE1 uH1y23NqZD3x7SSn6jitc+d/RgbHkdipxtE2+cdoHgDPo19wvIBvil86NWFi h5GleUfwjz4Pnj9vqW9u8DycJdwuul77jvCXwfP8bfwd4V2F3xT+WnhP9Jnw N8Hr4n3h74I5Hh8K76tjHMoa1bkXBK+j98gTB/MEPhBeJnyA8GzhWcHr5bXS +T18Gep49QrX7L4SPrZwjugv4YOEnxP+RfiQwvn537A1hfN1K4npuQ/6dQ1H F84p/an+toVzR2uwJ4VzSn9gKwpzEr4kNoqex7+Tfy2cp1pNjILuEF7Fdeqa GwrPEH4neM2iG6h/UwffTn0nRtePqQEtD+a9zCld78Tf3SrViE7k/TCPg5/b J6VrpdjYraPrnfiR9aN9ZPbFP/8huAZNLfrK4BoffMy1wcf8tDSnMuaJH5I7 fwg3rlY0j6NzNEeBnDC8kA+CbdDM0jVf9oWP1LTq936Ftj8M1ntvkF+M5iW8 zn0Vzsf+Kvx9MPfmo9J8D+qnn5fm5sH9o6ZG3RGdtl00n4TcxBnRXBRiKWrc 8Eaoz35ROt4hjprI+i6c411BPF445/k3eYhoXUatbffCud9lwnsIjxdeWroW x3v8VsfpFc1rpCbYsnA99/vSfFjyyd8Jd4/mWlHTJH9HHm9CcG4cezcf3Vu4 5ksenRrjRJ5/7lw6OuxryaaFc+mLhXdO+fAlpXUHOgRfYkvsSu4c3E3a3jo3 t/a4qtfvGG2PKW3f4cE1zF1P5LdbgjmHw/HNg23ZqxrbrLBN/1b4wdJj4CdS e9w297E4BsfiN+q3XOdb2t6n8L38WJqHOloY4syphXO5gXincK54rcY8oH3n CmeSMeWHdyfODubGnKWxzwRzeM4UPq1wjregnlm4hk5+/YTCufF1OubTwdye zuqbHMwF6iI8KZjHcobwiYXz5/+Qz4i2f5CATimc064KNy6c5/+mdC0APU2N i/rCOo3vKbl94dw+NfwmhWsECzVmTe68967BXNgxqHXhfQvXJX/SmJML65xM x9lO+G7hBervUDjHnrOWC9cZf1Z/q8J1xuXCk6J1FjpnSjCHp2vhGl/3zHXe J6Jz5ei9I6I5K/01Zl4w5+Ry5m90fpzj3yp8czC37Zbo9wtHDo4FuRVq6/2j /RjmyW3RvDr0xvxg3stAdGd0rp93ND061897f1Vtt+C6BtwU1ib196OiOUCX ad+20dygAcKHRHO2LirMhyDHQa1/fspzwQGAz0HsdDrvJ5rTcwk6OLquwHs8 MpqLc2lhfgz5l06lc6PU5MifwVMhVwI34Gb1z6qaw3Z5tG+HfhudakjohLHR tV7W+5joGhJ649HoWgXvd1x0TQj98EYwF6ifruHh6Joxa/mR6FoF6+WqaN4k NvSh6Boza/DQaP7Wxdr3smhfENt3p/AHVdcEr4/mMqI/L472KfFXL432/7A7 10ZzOrGnF0T7ZM/omNdF80Gxxa8E88TOVf+waJ4lNujGaP4ltmZmMPfpPI15 PZhD1RedEV13R18dHM11u1D9B0bz0hgPV5D4DC4Q/EZiOvgDcLeIO8ahe6O5 d8xneGXMQ+YjvAHyvj1K8w/I+5yDTYjmUQ0uzMV6U/imaE4j8R2cE/iXxPOj gjkJ5C7gElwSHUcRez4dXd/CXr9TdS4dviqcZ/xBuPbkuonZ4SkfH80/u6ow ZwY9vFO0bcae3hnMFYdTDbe6WTR373bJJzR+R+LC0u+QWgd82OOiuW6DNP7Y aF7jlfgd0fVRdALcLOJoOCpwj/CX+2M3ojl8FxTmh5HDgtNydDT3jvUOL47a BJwHuHnDdM7h0VxeuLLvadwB0bxA3mnraH4h87ZNNO/w/MKcYLh/cACPiebk sfY7cr9V19lXJv/8auGTo3mB4JOiOXlDsIHRNTx02m/BdWf64Tbh28IT6KQx XarmA5wq3LFqrvVpwqdXXbtvH83Pu6KwT4BvQH18UDSvF3/1nujaLT7bvdE1 XXzFd5Pvij/2VXTeBP48cRD1PLgo7wVzF5nP8zWmQ9U88PeDuYjoqBrR3zGM iP4mhZwKvKDZwZxG1i81S/zSoL6PoucZ9f2Pg7mF6K7ncnMV+BbjrWD/kHda P9ka7N0zuXP5fJfxNXarao46tp7vMeAIfRrMjUSvfhLMj0X/z9L4k6vm9n+m /v0r1rdzgjmW6Mk3NGZC1Xz436JzAazNXaK5rdhWYj3qlXB4VkXnFJjP5Bz4 bgeOU/NoXiy2e69onmVPcOF4EP9nt2jeLbb+wMKx52TJltFczO7C+0ZzdnsL /x0dm+Ej7RnNVe2h/gaFvw0Zi70oHFdOkjy8cGyLrts5mrOLDzA0mstOTPFp 9DdL8Kmuiea7E6esjc7XkJ+5OporT2xCjpIYFN7HAYXrv09Lro6OS+lfL/p7 l7uwvdEcYvyQN4P5rqyjLQt/kzJO8tnc9WG+qTkrmgfMvXSL5gePF/45mkPw rM7fNZofzL7E9dT9qf/3iylWV9/Z0d/MPCHcJ/r7nKeEd0j+J35L3+gYnme1 KLqGR+ywJLruRdwxPZg7zfPvoe2+VX9bdH80lwIf6Ypobjdx38hoLgX+zKho 7iN+Ed/XUIt6SXJgdK6EuKBVNFe7T+HvX6hxb6T+V4M5zPSfH1PuQPjK6O8E iEmx1Xz/AudnaXSdmDjo3Ohvop7EXyj8LRLPcHl0rucz7ftCMI+a+bNC/eOq /gZnn2jecy9sVLRvjW5fGJ2L5JsOfGO+Q4ObNy3FdORjfonOi+HnvxzM9+Y4 5HrI+TD/94vmqWNne0d/czVR+PlgLjdzfqfCOZYJ6O3CORbe4x8a3yv4+5ch 0d9IEF+vic4REx81L5xj4d53LZy34fgr9dsjVX8Lc070N1Ecf7fCcQpzg+99 sAMzo78RIB8AD3BRMG8ZHYvepWbF93DoY2pQfB+3JJh3jU0kV4t9p962rOoc 5bHBupwcId/AYSuon/AtHTWUz9Xft3TtCT5uV3IWKQ9J3Mq3hXxDUS+4HkQt ifoj9SZqSdTxqSXBYzsluG4Fp6pDcB23T7oe8vbk6smbENvCp4JXBS+HmsFD kj8F50jxK+oG8wkuDo6tiLuwnXzDxncWVwXXrMlVkrPkuzZy4IODaz3kEskp wpFeVvG3G+Q8N8TWBOeiyVGTq8ZHpjZMHMT3adT8bgzmaVM35bsK+NjExWuq 5mBTZ11ddd0BfnO74Bof3yMdHczxpY4C1wu+EXXnzsHziFoJNSbqETPSO2KO LK34exM4ydhEbCO860H6fV405xBeUf1g7kdXctDBXOdh6T3uE5yXOCXpUOJg dCoc9auFF+A7BOcoeEf/fnwhOTuagwT3kVgLbhLx0wfqHxP87d84yZeiY0hi N/hv2NUPo79bpN49PlhXwX2CGwm/nef9TTRvDK5O/2B9hF6Ci4Huxk9El1M7 WVRJ37OWltiKlsE5Fp4t+7Av30TCvYQ3BceSHHjT3LxfODZ8R0CdAE4mHCLy tDOiuebkOuB7kAf6XH2vRXPEyWPA4d8it76CL0FOkHmCDT8rrQV8S/KQ5CPh 5aKj0FXUWfhmhG9HyEOSV2Vuk0s8MD1DcoY8p7+ic63757Yv3DvfFvHuW0R/ xwIHm28he1T8zRx5pDL3nHgmmrNF7mtx8Dcg+K7PRfPAyKfB1cS3gY9JbYMa B9xFav0/pvX1YjRHkNh8QjRHjRwRPk7N3GsK/xn/+vdozgA8Ar6lgwsH/5IY gJzn0Iq5q9TRVqR8+JPRXDpygPCcmbfM34uic/rk9p+K5tiRG5wczXUj7wcH Bi4M3zVS32Tu/BTNg4UHCB+Q763IQcMd+G80t48Yf2I0T44cFL5B94q/a4SL DCcZPvML0bxJ8hjE4uRbyM/gW3ar+FtJagMXJd3Id2fN03p/NpoDR65yQHQO jjwbfhy1DjhuU6L5lORFsXVLKv4WbXB0HpZcLnx1dBS6Cj93/dz6bWo0X5O8 2bfBvCbiFL6pbprWPt+gUZOGK0FtZYPc6xxbAGeCefl8NB+U/A/cJOqQfOsJ p+v7FMvwLS3fzRJf/A8RgdJZ "]], Polygon3DBox[CompressedData[" 1:eJw1m2XAHMXShXfHFglO0ODubhcnuLtbgru7uwR3l+AOwS8XCMEdAsEtwd3d vufJme9Hv2+f6Z7Z2ZnuqlOnaqcbuMe6uxedTuebstOp+L993en04/82HFy4 1+nsBJ4evBN4UfDO4BnAO4MXAx8MXgJ8LHhV8IHg/4CPBq8MfpmLLgyeg+sf Aj6I8cXBxzC+CvhZxucFz8j4QeBvweuDVwGfDO7bdDpbdTudSTj+CvhP8OOM f83594DX4nqvgs9n/sten/Gtmb8SraL/B20o418w/27Gn+Y684BnYP6B4N8Z fxj8OeN3gW9nnKHOWPyZC/wX40/4fBi/F/wW40uDF2D8cPAb4KXA84MPA//D /KfA3zH/fvAu3N+M4F3A/wEPZ/4i4DmZfyj4b+Y/Cf6W8fvA7zO+PHgxxo8C n8X5h4BvZ3wU+EjGx6L/Gcfe9hkxvhf9mzj2HuOncb3x6V/A99+L/tjM34B+ f9rfzO8D3pD+8rR//Qzw2Mz/nGu8Ax5BG0V/B8b7MXYNbUnGz+XY1fRX4POe pn8a827j877z+uBVwYPAV4AXY37D+YfRH0VbifElGD+W8bu4pyUYv5Lj3/i8 +L8N4+syfiZ4+TrP71TwreAzmD8h8y/kenvTn5y2Lf0pOO9Vxq8ET8/4qeAz wJtw/nucP5jzHwafwPEJGJ+Nc1ah/4HfgfH/MH404yeDJ2f8F9cAx14CL0R/ dvoHM/4615uEc18CnwPuX+d9nQK+BbxcnfUxCHwzeBzO34j5K9C69EfSVmR8 ccaPYXwq7ncCxq7kM0eAx2V8Y/BSRZ7vMnXW98nMv6mX5+/Yisy5iv6YnL8W /Wnon814TXuR+b8xZyj9Rzk+C3gqzj8AvB3XmxI8gPGFwHuB5wTvC14WfJ/v HzxRmfE9GJ8dvDfjS4N3B88G3gu8FPge7wE8AfMX8H2C+dcZFzwfnTu5v8WZ eyzHDnEvMD6V+43/bzC+NdfrC16POfOAh3CcQ50+ZfCPnHMfeGSR978ng3OA 9wEvA/6c+WuCl2P+8eAvwGuB+4NPAG/J/InAaxXZv3cyziU74zA+L/he9w94 QvCC4N2YPyt4T+YvCd4WPAV4qyLjnzJ/DfCyzD8OPAw8M7gfeH/wN+D1wCuD TwK/A14WvBD4SPB+XG9BnwXXWx58KeML0J+Cd7gL/RdpMzE+G/NXYPx7bvYe 8PtF1tM+nD8/+CDwcuD9wYuCj3RNgAeCJwNvBp4fvA14cvAWRd7PFuAJwWuA 5wTvC14AfDC4P3jXOp+/K3hx8P18/uXaK+7nO/ABjC8GPorxlcA/MH4v+IMi 6/9+7r8PeOIy/uInxu8HjypiHy7S3tLf1nfOnIeqvJ/JyviPO6r4nbHBc4P/ YO4m7tVubPovXO9/jH/C8Tv0D+DbwW+BbwT/Bn4I/Bn4TvCDVb7vpGX8VUl7 HvwL4w/5fvk/ruuJ60/L3Ado04L7Mn8/xm/W/uoLOPauaxCsfxyzzPN7gM9b kQNncGwu+gXHnqP/M8cepN/Vp4F/Av+PfkV7AfxrEXv0bxP7+T34v+CHuf7E 4MnL+IcXed7jcm9Pg0/VvjL/bsbfK2IPFgKfwPi8nPeIzw88P2OTc2xP+pty /vvMv6qMPfiSeWuDlwefCN6qzuetU+R5v63NAS/I+BGuZ65xG/hNxm8AD62y X6cosz5+ZfxB8KeMD/G7c3w78KZ8/vjM/ZrxW8FvMH494wO0n+ANiuy/R6rg KTlvCf25dtH1yvkTMfYV598Cfp351zG+A8d2AG/O+I7076aNAR6/zHof4fdh 7Drmnw9eqc7zP5Px27V/XO8uxr/RZtC/mDY1c0/hOt8zfiN4Vv0b+BfwVfSn ovWjrc01Xm/iH/QT3zL+HngKv1vV7g/wF/pWbTCf/RBjU2o7aQM4/+oynzcN c16nfx3zP2XudfR/4vyR/P+wm3tciWsOYXxR5l/ms2B8DvAhjH3tM+X6PzH/ y24+cx/9M+MzMf9M+j8yfzD4E+Zew7wftCf8/4y5n8oHmLNfk/5frsk6fOkb 8KPgNevYJG3TSNpu9G/h/CH0Z6a9T3+bJnh5xj7h+rdx7E7wLLQP6G/bBK/A +KeM7+gzB/8H/Dl4Xf4/Dj6HdnOR96NvX4zjn7Xv+91u1vTF9G/k/27c2wMc WxX8BZ/xayfXWM/v43OiX7cccVfajtrP9v716fr2R8HrgG8vc625aB/TL/nO mzB+CWO/9XK+331K2quMT9/L+vNefqW/dpVrnd0N59qH+/+Y/h4c/5LxWfl/ OPgozrlLH1eFi35LO6gK59PX6HPkghtw/g2MfQhepAlH3qOID5c7r8ex67vh ZO/J9XqxHdoQudhmtJfdPz4bxtZoYptce3/2wkn3L8J55apbaz9dP+Cl6A+k 3QH+Erw0/U1oN/ls5KBNfJi+Rx+kb5PzHlCEs8uFN2LOjcz/CLwo/c3d/93w 0yXoz0DbBdzzHTWxMQdy/nyd2J4ttTfd8M8l6R9M+w68sv6R/nS0ndr9+zbf dY9euPxQrw8+sMqz9ZyD9dUcG8bY/toi5v6X5/A9Ywt1E+PMV8V+fsCcnj6a 6/8JHtzy0QXBx4GHMz69e59jL9H/vYi9nZt5R3fzzD02ELxvNz5lgLaqDt/Z jrFFmD8ZxwZ6fxz7UA7sHqN/ve+wl/VrfHOcnIz+pLQB7fuWi0/DPezYro9X OXdPbbr34vOqwyd3aOcPr8OL5cdngYe6d5j/ob4GvDDjd3PNJxlfwHcuB+b8 f+gvTlud/vu0ZbW9XOcvzr2hynpaTn9bhd/5PA+h/zvjw32mjL3Nse2qPI/X 6Y9Fm57+bsx/o8UL099S3t6uh/mr+K/36O/U7q+7m8Qbct0/wJNw/R2L+Gh9 tfbkHveTPs3vrn9s8Tt14grjCzm13NoY01jTmHREFc5h7GpMKxeRIxjbTtcJ d1iN9hDn7q5PrGKHtcfaGN/PKO5nkSL3YDyhH9Af9G+fjz5OX6fPlHvKaeW6 +ly57k7c78n0t+Q6jzI2Bv9XY3x8jj1Xh7PKXeUwxqL6aH21nEmuJAeRy03Q CTfRB8r9Ju3EN25Ie8Z71Z5UWYOuRWP6ydr32b/1UQ+1MYGxgZzXWGA0ZyzC KeX6cmC5sJxS7rwR7Tmuv5/7vUqMb6wvR3xVf0FboQiHuqkKJ1RLMAaRK6oR qBWoAbxWhVPKLeW0r/j8wScV4dDam+N4XhV4kO+kSXzpfj2e8cvp31rkuz7N sQ3AV4NnK+LT1+HZrsP1zqa/KnM+rsKhD2rtz3NVYmht1ewcuwD8vzLx9nCu tzl45ybrdcvWvrpmXbsjaFvTP4rxv/VvtMmarHnXumt+W/ovl9kbm9EmAN9T 5l4XpH1Ff0KOTdaNz5PfzFTGPmpf1Ua2qvJZq2s/fR6skV0Zu4E573A/t+iD OtnT61fh9Ae39vp58BFqIIytS5uzSQy3V+t/HqsSQxhLLNL6ozVoQ5n7sxyP e1mT8TOKxPDG8muBzwSvrD0Drw0+C7wK+CPw6uCTjVXkz1Viqj1bf2Zsakxp bGlM+bjXow3rxkd/pqbCPf6uPQBvT/9Q2i/d+ODZm8RQxlLGMC9w7mEc+60b nz9tkxjRWNEY9okqMa6xrjHkk1U4rLHOjJ1wWzm32oyallxcDWrH1h74/DeT j3bD2RanvxLtMvChzuddPKhYBL6UdgfnPQD+h0NzgG8r8r5/B5/Xrs9ZOecS 8D7atV7W27/yj240nqkZvwy8M8cvYnwW8MXgvcE7gKcEnwLeATywFz7zA/j0 lh/9xfjS9H/n+Av6K/Bgxg8G7wKeSxsJPgi8cy8+4SbwUWV8xTzgq8CHgHcF z1cnHj0UPLgX//Eb+Nx2vT0KruhfSRuiHWH+IN8dxwcwvx/4VPCOcsf2843f DgRf2YsGc3gRjVBtxnMeA1/UybXeavennKI/49tpNxm/kGOTG9s2sfXa/Gfr fMYTRZ6xn+0zerzIM/TZvVnmXfpOl+V6M3PsBvCeHL+UuTOBrwfvAb7EeA28 nFzSOEc+Xie+2R98OXjOOvHSAeArevGb+k9jxIddh3Ximf0Yv6yXPactnabM XpyB8evAu4MvBv9V5vPW78Z/u2e0xVOX2UuTMv8C8DbgC8BXyJGK8LXL5JK0 mY095Bj0N/AZOibvZf76PgPXW5n4c0Pw29rSMvHqRuB3wFeUiWc3Br8LvrJM /Lwu+HXwRWX0Sj9vlqKNaehf0MS3nA7+Wy24Tnx+XJl4cBB47064//vgU+rY L+3YB+Dj+b7jaZ+6iYcWrRP/H8P51zJ+ah17r90fqW8FvwG+uIzeulid+PTY MvHj4nX03ePLxLNP8H8Mrr0GreH66zD+GuMXltF3b23iC1xzN9NfqI6ecQTj 18gP6+hThxvbgS9poj+d73cGL1BHHzmM8avAs/cSf19QRJ/0fU1LfyufeZM1 7FrelvkXOhc8wvll9O0Lm+hd53HOaeDV6/DR88ro2avV0f/OLaNf39ZEP7+U +WeBrwbPWCQmNDYUzwDeGnwV/VXq6CNnl4nnV66jZ5xVRm9ZtY5+cU4ZfWW2 XuJj42Tj5y1o9xfZ808yd0s5dxEbNR79rWk/qsXwvMfn8zYC31nGv6ziWuUd HGhsRJtFe8v4fYz/wfjYTeJa41vX9Fn0T6ui9/odTq+iP4zHuX1pL5bxt+q1 k7Z8dJNe4jDjsWHc38Z+PvhI8CPgH6v4rjU4b4Ne7lF9XJ3cex+viX6ujr6V 66eOvd+K+Zv7vNTL5M9yL/Cm2kiuf7T+ro6uMGvLSc6Tm5XRd9aWA4N/qOJL V+f4+r20y5m7USdj1xbRx+cuop8dXyceNi5+t5f4S9svJ9iwjd/O6GbOxk00 4M1aPvdoyy92avmv/GcK/Xk3XPfDlm+v0fJP+bCa2Got35R/mzPZoeXj5lKM X0/rJqZZv0k8Z2xvTmIL+lMx//xuuKh6gfGmvtA9P0AtppdchVxSvWDFJr5U DvZQnXhVX6PN2KrJMx6idtLJsz+yjNboHnWvrtDElx7s/deJEYfSP6GMXuia u0J/UWUtrlBmb7pH1crknHKnhctwUX30q0V8pL57e/BzRXzoJHIp5g0v4kP0 Ja6J+4pwfNeKnFOuu0zLRfXhrxgrdOLb5UhymUXKcCd97juMD+nEF+uj1Tr1 mfpOYz7HTioTC/r97gCfWCY2noPrHcn3O0q+167Z7xhbuJu1rA97lutd0Ylv k8PJ3Zcqw+3UFIwVTy+jNcgZ3i7yGXIJ95D+f7Mye0tOKHdfsuWKxv9qIwtz /ONe9tQVxmOd7LWvqnDDFZm/bi8cVe41Sxnu6rEL5e6dzHUPyZ82L7O33LPq P5uW2cvaiHX4vDFa2yGHldvOVYbbGlPINecuE2vIGeV+s5bhksYg5kPmKxOb GMPIHecpE9vIIY1dpivDLeWsxkrTluGyckpjq+nLcE05sLHm0mW4sXvMvTZz mdjDGFQuOm+Z2FQbq7atz9L2ztLEHmoX3+yFX2mr1jOG5tjgOrZUzcDc6IR1 cltqJPLfZ7V3nHME53yrXlhH+xgds+ubm6yFLWn96H9WR7tTs1O7m6CO71Vz lG9/Dp7d89v99EKdfJ85KHNRz/F5e1eJx35h7EvanN1wUvfvxmV4sHx4UuZ/ VUd7+7ET/vw9bf5u1pRr6zvafN28Y9/1D3W0it9be/ppHS1SDVItUr3nmG40 mQWaxNTGbcZvxtqP9fLcfH7jgOdWg5L70f7h3D7qP1z70DY+urhOfxFjILlH k9zbv7QH6Q/rheNrX/rW0XvMJagBzcj48F7suvZ9rCY5L3Nf+4NnAu9dp3+A 7xj8M2ObdvLOZwW/zvxtqmhIXu818GCe3xZyQPDSdbRa9/i8am91co1qJmon crwfi2jgcr8d5XuMlxw7lvGJ5Sfd6FH/U0/j2DvdrIHxwWfQPuomZ3p6E81c 7c1j5l/VcFeuon+oxfiMfdb6RO2dGp/xsTGz+t2lHDuhE41JremSOmvFmNnY 2fubupMY31hfzXvPKhq1WriajtqOGuu+TTQk42u/k3rAsk208VHd5LvVc9V+ janfqqMZev9qTOZHrq+TCz/bPS136iUPbj7cRGHTJPe0qjalSU2BeSiP9eTX deae456vk2P4uAhHNffwUi9539H5X2NZfZD9bvjRNLQzO+H42t/T69y7nPdU 5m8OPqkbzVT9UX33xG40S3M/6qlqo2qUapXGeI9xf6d1Evs9r40sE3P9Cb6o Ti5WG6mtNOc8ZRXNUO1w4ibPYrvWHqiZHlBlT7m3LqvD7fRp+jY1ELUQ78l7 +wi8EHgP5kzZy/pQ6z9AG9mLJq42ro3SVl1QhxvJyfQfF9bJ/8iZtO/GSE8V iYGNnR7XR5TJwf5SZX2oyR0HnqEXvUt+IV+8t4w+JZ9wT98PPrtOrG5sflLr k/RNe3KsXy85B3MP+4Onkd8y/1L6+8qTetEg1SK1AUWTd+679x37rtXYr1V3 6kZ7/xl8TpWc8N9VcjJyWPn2n/yfl/Ov7kQb+7uXGP/BNl4y9r+19e/6XH2v OSk55ADfL/9vZvzmTjiJ3OSmOtxETiG3+K2KrVjL+J92S8sP5BByCXMc5qDd I+6V22h3dsI55B7m0MylbcexseSidbi8HF+uf0WdtSXHl+t/UceWDGztuzmK UZ1o2JO0+30b+ot14x/UlI2R3QPuBTVLtcvxuNd9e8lJmZvyHPU0NXOvvzN4 6io1QI+XeQd9W3/m2t2g5TdFnVyhMYC1G+qrxnzc7mi9dHD7/uT4cn19gr5h mW7i1avq1LpYwzEBYxM10dJH15w00d9qdRrw+/SvL6NRTO/+qhOjDaqSPzR2 G7uXZ2ls8gT9++vweXn9eb20G8vkYxw7v06sYowivzHmfa2IhmAsfB9tIP1r OHaue61JbDcG+ET6p8hJuF4f7ud55ja9xJrGSuYD1bfl+/LnO8rEiBdWiS+M HV+ps9fOLbJ+er2sXWMv85V+5g1l8jXeizUPpxSpWbIWwpyomrj5gvtbf+pe VYNUizR+aYrkQz+o83kT0t+83d931+lP1E2+4791agfM8ZrrNQduLlxNyloZ aySslTDmHl2L08uzNh58TXtMG19bxfivXP9Jxrev4vNub6JxmLs3Blb7WKtJ 7dI1tLWb2J81y1zjZcbvqnMta3iGt/ZV2yPHkmv5Dn2XM8o36tToPMX547R8 yRqiy1s+7Pr0+Rury6nm6KWG5YQiOXlrW6xxOb5IzZm1L+bwTyyijxuvWJNy XJEaNGtVXH9qBWoSs/aiSZzfxjeXNlnf5krV0M19+T6vaWPMMXp5p77bGRjv U6cm65IimoK1WmoYF7T83Nor34+5w5mYP24djchaCzUDtaNJaAd1ook+Jveo o1X5/seoE3+p9xsTyPdvo43ZjUZjPsQ17Fr2+VhrpiZi7d8TnWglalDWzlkz pjY1X5PYx5y29X/aL33vkvqIOhqPtXxPdqL9qKGYT3ykE21FDcnaPfOraktq ZOZbn+lEO1MDsdZETUltxBoX409jJmMna5ZGtvGotWxyRLmiGu/jdTQaaw2H dqLdaE8L7m2pbvz1lbSyGw1Xfz4mbdpuND71IveMz84crfH9M77fKjbB9/VR nXdnTtX42xoda3XUrKxdU+OzNkWNR+1PPu/atEbnX/1jnbVrjth4Ww1CLULN wtoUbZy2Ts1PffFdcL9uctjG/yPb+72ZtmmTd+z9WgNh7UWvju00pymfNQdq LnSq1l+8346bU1bPGAs8XTcalnrVPXVyzc7xWtbImJ9QQ/H+rEE8rUjNnevl pDq+/izmn+T+Ax/WiYZ/NvjEOtxFm6j9PKFO7k8N5YQmNZXm+Y1pT3a/MH54 J5rPOWoZdWItNYVzm/ChZaroy5u1/Pcq+oNpq2lbwNd1k9Nft/18bbffcVQd frJcFb3bWFpNRm3Ge/J5mvMx96PmcnwTDUgtSA1opl40VbVVNZhBTTRStVI1 l1l6yadbK2TO5LCW743OlYMPlD836buH3EvmV62FMCdjbsYcuTlWfaT2w/oU tTZzNOZqrIGxFsbvbD5ZfrVilfoWaz3UgNSC1HCN36xpNe+hZnMW+EzOP7CT mpEzm2jCasNqQDPTn0ib203O1/zQaXVykXLAU5poSGpJHjOelZPJzazJsF5r Td+Z/re179p7++YQzCWYk3i21XfUW9SXXmn1H3Ml1nBZy6Xmaq2pmtJbrT6i FqPGbe2TOQG1b3MmLxbR+M2lqElb22QOQa1aTXl4qwepX6kpv9zqSWrN1kCf WqRm1dpo/fvpRfJx49P/pI7ttYZDPU0+IbfQZ47Ziz/9sJM9WtfRpF8qkuNQ q7bmxHE5jetJjfzNVm9SOzen8UyrF5nrMCcyrIhmba7EnMUjRXIS5jLMoZif MX+jHmYNifa+V2Q/GWMaa37FsQfq6Gfme8zPqIfJP28q41P09+5Hz9WmjGz9 r/zSPbROkxo3a1/VxK19Mz9krGLMYv5ITf3eVo9Tazdnco+xQCe5FGs6rOOw nsP4ypzO00VqIM31qEeqZZxYJX6Qs1sjKGeWy1sTZm2YmoXahfU62rKdO9nf mzD2Qjc1WNZiqVnKvSYtYj8m6sW+ygnkBnIg+Y+cQ+5hzYrcwpy78YwxgrGC NQfnc/5rTWINfbS+WvvktefRB9bhoP1a/cDY4M82FlFD13+/3IRbyDnkHtpX 56rxX9Tat8noz9uNnqR+qnbvMe3dZsZB3dSkWZs2osla1QZri42hRhSJWYyt 3mziC9Vo1Gqsb5HrqXGodbzVJJ+oZqN282oTbukecC+80YRLqMGoxcjx5Hrb t+vp6zK5dWsgjAcnZM6GnWgyajOrNsk1W9N3Hv3hTbiWnEpuNUEve0ufom+R r2zZSc7G/NrDTWo11MTVxv+owq+nKcKvzImYG/Ec/Z35+w86iZetFzDeN9a0 Rt9a/U+a7K3RNkfuDp67k5ota7eWabJXxi1i3+TwcnnzH+ZzZuwltz9mlXoc fy8wcRENTi3O+ijXtvG89Wfq42p5ztHeqvcYq1tjb639c03q383Jmpu1xkb9 ZaIi9tiaLnNj/gZBf2j+2/hajeMX+k81qTWzRsxasaeb1DJY02Dtl/53Evpz M/9r+s80qcWwJsNaM/Np07TP7/cq+Xa1Qs/RX/9cplbJ3xhY/2F837eIpqi2 aH5wnCIaoVqh/n/MIpzlwzo5/E87OSYfsOZMvutvIAa1/sRnrY1SGzU/2aeI jdXWvug5nXBuufcnZb6LNUPGU080qXWw5sFaP2s+5T/GPIe3GrVatZrHuPTX oA1irD/4vSo5CXMTcoxx6K9Hu4jxdcFfV8l/mGuSw/Sh/7YcohObpm2Tb2rb tmj3hzH6w2U4plzTmvVNisTc1rJbg7tbkRpwa3PNF5jrMuadmP7EVWpzvd9v y9SoH1qkpt3adX/TYf2IOQBzAf7G4Ygi9ST+9sEYy/ow68SMvdQWjOXknOtz bGQT36FP0bd83MT2jvY54I+aaEGjbTL4U/11Jz5V3+rvKIzFjM+0mXJItYcN ynDLPi0ftrZHrvxmHW3QupunWvvh/rq5jc9HNfFt+jB92Qfg8zvxcfo661fN RalZW3+qpmXtye5VtK59aP6AyBy78YI2U9tpbYva/N60H9p4YsU6+onauDGS eqz5pX/KaJRqlY83+b2BNaHWhu7uM6H/AMcWYXxbbUYRzWqqOpxTrqsmJxdV e1M7tWbN2jVrdF3bxr+30n+3zNp2jR9dpSbWveSe0ue9V2YvuaeOBe9cRUu1 ZtnaZXOk5krVEPv2Uj+k75FTr16Fz2k75Gz9ubdHm+QOrbGx1kafeaRcqowv VQPaqEiNt9qQv4E6rIhN8rdR7zRZ3/p0fbsakvZz1zLaUt8quY0fbGV+w+MP 3HyG/rZHDUotytppcxfW85qr1H9bHzxM+9NJjtNc51RVcpvmQNSfHmmyd8yp mlv9u429rDVT+/usCdeTY8m1rG/y/RuDrFlFwxvQSU77Wua+1CR2N8Y31h+3 Se2H+pj5CfXnqspvgvyt25JVam30kcPK6GHWPRvTP1MnhjSW/K2MFnxIndja GHu11rYYqxhjDjXPXkZvkiMvpV2pE0vp/8znuWfcO9ZE3MK9DalTX2sNqvnH O+rEzsbQ5h+vLRP7ydfeoL9UHa40O9d4S9tRx9ZZI2a+U5unLVm0jC10jjlM P8Nz3+6l5lZ+Z3yuHmBsJweWC5svsc7Oertdm/yewNzO0Z1oyuafrMH1/ZnL 8vuq9bnm1NjU/+RTW5fhG+5R96ocYaj3XmevqgGYD7VGwVoFf8Njzbg+UF+4 YZlY8ag6ttocprlM47Mjqth/tS/3vHv3jDK2YCD/Z6uSkzI3Zc7P3J816T+1 NkpbpaaptmkM6PNdukpsqC8wFtW+P8S1bm+vb82v9VzaCLnX0WVsh/HUMVX2 u75te99zNzW71i+bs7Ke4tkyfMn48bgq+1/f6n5Qi5Xjjo7b6+Qedipji66p U3tlzZW1V4dW2Yv+JkyOou8zF2EOUn9ydR3ubwxg7de1dWyZNVzWcpmj0baY ozFXc1mR3KOa0Gpl6tzUSozBh7Vz/EHR4E7OVaMvqtS0qd0fXqfewxpG891H 1KkNtYbRfK35FK/p/nq6jo3QVvh7i/2b+DB9mTHvdPo+5qzWSY2p+X33nHvP /fVUnVyD2oE1ju5/cyPGtnLmTausaffPXFXWulrhbt38nma8Kj7E9XdpGd/i 95fPOsffAJq78PcTxhgbV+EwcpmNymgB/kbSmnBtirbFfOSMVXLe/jZv/ia5 07nbz/+8SWxoDGos+kWTWNQY1Vj1nia/bbHGy1ovbZ62zxqXm9p4QPsqp/T7 qRmrHVu/Y33Y0XW0T+Mda13maZLLnOP/7UMVPrtoa7+tCfe3F/4exFpx85Vy fTmF3EI/p7+zZlV/Y76mrJJjMR96TJ29ZA2CtQhq3Grd6p3qmc83qT2Us8hd jgFfA165SL63aO/3lTJ70f1qXZ/1ff4WzPywc615/i/9BarUKpvjNe9rfsC6 H+t/rCezJkNtRY1F3cV37LverhM+ZD7J3274jO9toqGrpVtTeF+Teu7pquSc zT2/0IRrycHkYv4Gc+Miv7G6q40J3HfuP2v3jbOMt9TczRHJMdwr1rTIPUa0 nMoYdNJ2LetP5KP6i1/LaKnyT+3NdXW0EuMXa0v0b9q/s6vkrsxhmxvXRmur 5bDa/5XKcFvXpPZ68ipr1d8nWUttzf2QNn42F2/M5Pq2Rs3fnllTaO2aNtL9 O1MV22l8qzZ9RpXcm7/H0RdoX7Wz/weiCRSC "]], Polygon3DBox[CompressedData[" 1:eJwt13mgTdUaAPDjnnuvR4Y8ZC49Q6YyNpjJUDQokigqSc8QlaFClCEq9JrQ XCpehQoPyaM8QuaXMZkylVlIlPT72v747tnfb31r7bP32WvtdS/t3Lt1r4xU KvW1yBJfZadSpdKpVG9YXr4wM5W6jJXz+RK7gVWQLxe11Y1mz4mbcqZSkwzw T/aFfKy6UvKnRHP2LGvCDhmnhr6X+zzAFrKa8hWijroxrCnbrn2wvg3YUFaH 7WYr1dVlY1kztoOtYvXY86w528mqsko+t7KZrJp8iPEaqhvG6rI92hfzymww u5KtYR+wf/l8lbVmk+TzRX517dkdorrrHWq8G9kL8hbqjuszgz3PdrEvWHP5 MHETe5G1ZCfUfRr3hq1jU9jV8imiD/uavckqyj8Wj7DF7I249/KKzj3aGO/z 3ew1322JqCEfoa4+26z9f6wse5RVZcvYD/pfmiOVauy4kShhrD7qejlep7aE tr7y6eqekX+v7wx9G8iX8prsadaAbdInHy+nz1b+kchlvM/YKMdb1E1XV1++ TN9abCRryL7T9xt2JRvFGrEt7BO1A9kq9n78bvKp4nG2gk1kV8ifFI3YcFaP 7Y3fjT3A5rIxrGRW8pxewwaxJ8RTvt/XrAobIr9K3Vp9N6v9lr3D2sf3k+8S /3BtTbRfK0rqu0DfwuoeUHeJunl8ISvD+rMr2Ddsmr4D2Er2Hqsq/1JdSRYT 7sH43sbLy8s6x/f8Q/E39j7r6vhzNaP1LSFfFM9zOrmGuJZm6rJ4SX1Lxu8o irAj6kaq+0nNAn3rxnWx69LJPI35+oy6QqyTvoX1O66tMJvJJsqfENnalp/v e7321/V7TbRRd0z77ca+gS8RF7KC6jrqU0jbUVaI/Z81dTxev1bq98ecMuZd 7KCopf64fLzoIN8varBj8pMxB+P51neP+NR4a2K+Gedl+Upta+U5+WTHm9PJ c52bHdB3qHy9ug1ikpq5zp1X39I+LxVF2QZ1rdV9oKaztrM8xd9kP7PjMYfl 2eIDtkmUdo5czlGcNVQ/ie3VrY6x1okW8jfiPrHD2s/FWhT3Lq5dVNZvTKwl 7Gl5c3EJO2TMK4y9V//pIg/7Sd1gxzvUzo51Us3+WMfYTjaH1WK9RWl2LysR a7kxD7OqxtvHZ4i8OZN7Hff8kHyOyMcuFs1i3skP6dvY+M+LAsYaya8XpdVM 0PdONQdETWP8LJ+mrmLMUzFe3VT5etFSzZvsNuMd4WX1H+hzLv+N5Yka8a5x 6vOZ/EvjlVLXNMaJ50NdIzVv8bvlv4h66k/LHxQXyzs6RzF1i/TZFM8fm8VG han5gT0Uzwn7NyvHnhPt2FOZybzbI0/H/HBclT0qHpNvykruxzS1XeOZ8d22 8u7ypcZbIrqwLew+9lXcA/VF9fuedWEL2QRWhE2O781+j/dAPIfyWeoaOW+D eI7EbPmz/HY1T8rLaNsd7yx+QJ/hbES8j533tM9O7JaY144rsGuyk/fBYPkQ UY5ViufN8Vhxt7Yzmcm54zuc1fcPcZGaBvruZ0O1DxPl2S7WN51ca1zzW2y4 vm1Zkcxk7dkqL6CuneO88T7V9g0rGPPVcQF2p7YcWcl4/dLJnIy52U1NMVFN TXWx3fk7qNuprre6NWomszJsLmsmn6ouLTLkO+K9pW51zHF1ZdXtYY/GXGXT WGX2I3uCbWezWHW2jw1i29h/WA22m/VnG+M8rFKs/75fN+frHvfYdRRg29T1 ULcs7om68fLtomdcO3ubzZFvjjWWzY41ly2Oe2W8ZVGXTtbQWEv3qnss1jB1 n7Aq6v6ubnmsrdo75Eg2Z/lFecfb+Mcit5oLxJS4tnTSFjUPxTtefp/xSuq6 xBi/OceEmH9sHWul5h6Rh7VmmlMz1N3L8rLbMv5aClMzWaaDiSxLbGV3xJxh 78ozY4/A2sU8FRfIb8lI9pLT43dS9w5Lx36A3a6ho8glv1Gdj9Sn8Syz3JKb WSzDn/nzoC/1nGuq6fg+0TM7mYPd1M1T999YV43/K3s51oh4L+jbwlin2Svs FFvFWrIzbBz7la2O9xfL0v89lh3PAmvPcrC35RniO9aW/a7vqzF/49mNecfO stfY2XjPsFtjryYud9yPlY05GM8eqx9rDqutbRffyNvHWp+RrIPj5NlikfaD cQ/U5Dy/78wXzwprJ/rGfc9K9texz/4q1qPze4sS6WRvGnvU/uq6x5ponAHx TnaOATE3Yv/s+KTaR3h/+R/i9VgL9Nto3NbGO8feYOfYJtaGHWZPsx/Z/Hjn ZSXvy7dYjvghRZ+Y9+qudfxK/F+A9znPatY4nby74x3+I1vLmrBx7Gb2E+tl zEvY3ax4zBl2UN3weM+yeeya8+/4YelkbxB7hF7Oeybus2s7xReI/LG+qCtm jIKZyf6kuHyguqu0D9CvpvG2xj1i1dPJ7xa/30Y2iF3NBrJabBvrE3OQdWdl 2MpYG1hRdisrxBawbqwIa8UKsvmsByvG2rDC7MvMZF9XMZ3sB2NfOMB3fjjW HXa/vJS6peoeZ9VYX1aFbWAn4/u5pocdPxTvC33vj7VX3T3q8qj7nHdlhVjn jGQPFHuhnrGHYW3ZRfF/H/swK9mrxp71r0kY6z+7TF2PeJ7Rqng/xt4ifmtW ma1np9S+xE6yFex6NT+z0exwRvL/5bXsaLzj0skzHs96Y/ZRVrLXjz1/hrFy qDkkRqjbF/NcW201v7AX2Qm2nF3H+okKrCcrx1brfyzWjdjPsMWxj1Bzgo1l R+Ndxpqy/jFX2cOsIvs23v+xD4u5wSqxdaxLrMesE7sg1vZYj2ItZ3ex3Gw2 68wuZB1YLjYr9tbOO4YdiT0Da3J+b/tCOtlfxj7zEb/bnxaW+kE= "]], Polygon3DBox[{{1754, 864, 701, 700, 964, 1481}, {1706, 1171, 666, 667, 1172, 1707}}]}]}, {}, {}, {}}, { {GrayLevel[0], Line3DBox[{500, 1, 470, 265, 1199, 16, 1212, 31, 1226, 46, 1241, 61, 1256, 76, 1271, 91, 1617, 423, 1286, 106, 439, 1300, 121, 1302, 136, 1304, 151, 1316, 166, 1330, 181, 1345, 196, 1544, 330, 514, 211, 499, 345, 762, 212, 763, 213, 764, 214, 765, 215, 766, 216, 767, 217, 768, 769, 218, 770, 219, 771, 220, 772, 221, 773, 222, 774, 223, 775, 224, 1029, 332, 394, 225, 367, 331, 393, 1372, 210, 352, 1358, 195, 1343, 180, 585, 165, 1667, 511, 150, 1614, 421, 135, 1611, 418, 120, 1603, 410, 1299, 105, 396, 1284, 90, 1269, 75, 1254, 60, 1239, 45, 1574, 375, 30, 1668, 515, 267, 373, 15, 369, 334, 614, 14, 612, 13, 610, 12, 608, 11, 606, 10, 604, 9, 602, 8, 599, 598, 7, 596, 6, 594, 5, 592, 4, 590, 3, 588, 2, 1030, 333, 500}]}, { Line3DBox[{1199, 1484, 776, 1198, 1836, 1373, 1200, 1837, 1374, 1201, 1838, 1375, 1202, 1839, 1376, 1203, 1840, 1377, 1204, 1841, 1726, 1908, 1205, 1842, 1378, 1206, 1843, 1379, 1207, 1844, 1380, 1208, 1845, 1381, 1209, 1846, 1382, 1210, 1816, 1847, 1383, 1572, 2007, 1644, 1645, 1590, 1646, 1669, 1384, 1668}], Line3DBox[{1212, 1727, 1909, 1211, 790, 1213, 1848, 1385, 1214, 1849, 1386, 1215, 1850, 1387, 1216, 1851, 1388, 1217, 1852, 1728, 1910, 1218, 1729, 1911, 1219, 1853, 1389, 1220, 1854, 1390, 1221, 1855, 1391, 1222, 1856, 1392, 1223, 1857, 1393, 1224, 2008, 1573, 1394, 1574}], Line3DBox[{1226, 1730, 1912, 1225, 1731, 1913, 1227, 805, 1228, 1858, 1395, 1229, 1859, 1396, 1230, 1860, 1397, 1231, 1861, 1732, 1914, 1232, 1733, 1915, 1233, 1734, 1916, 1234, 1862, 1398, 1235, 1863, 1399, 1236, 1864, 1400, 1237, 1865, 1401, 1238, 1866, 1402, 1239}], Line3DBox[{1241, 1735, 1917, 1240, 1736, 1918, 1242, 1737, 1919, 1243, 1738, 1920, 1244, 1867, 1403, 1245, 1868, 1404, 1246, 1869, 1739, 1921, 1247, 1740, 1922, 1248, 1741, 1923, 1249, 1742, 1924, 1250, 1870, 1405, 1251, 1871, 1406, 1252, 1872, 1407, 1253, 1873, 1408, 1254}], Line3DBox[{1256, 1743, 1925, 1255, 1744, 1926, 1257, 1745, 1927, 1258, 1746, 1928, 1259, 837, 1260, 1874, 1409, 1261, 1875, 1747, 1929, 1262, 1748, 1930, 1263, 1749, 1931, 1264, 1485, 1932, 1808, 1265, 1809, 1933, 1487, 1266, 1876, 1410, 1267, 1877, 1411, 1268, 2009, 1575, 1576, 1269}], Line3DBox[{1271, 1488, 1489, 1989, 1270, 1491, 974, 1272, 1689, 1934, 1832, 1273, 1692, 1935, 1693, 1274, 1834, 1936, 1697, 1275, 2035, 1701, 1702, 1276, 2038, 1706, 1707, 2037, 1277, 1750, 1937, 1278, 1711, 1938, 1835, 1279, 1486, 1545, 1939, 365, 1280, 1810, 2002, 1546, 366, 1281, 1811, 1940, 1495, 1282, 1992, 1497, 1498, 1283, 2040, 563, 1577, 480, 1284}], Line3DBox[{1286, 1618, 1619, 1502, 1558, 1993, 1412, 1501, 1620, 1621, 1591, 1670, 2012, 1413, 1503, 1622, 1623, 1592, 1829, 2013, 1414, 1504, 1624, 1625, 1593, 1671, 1415, 1505, 1626, 2019, 1818, 1594, 1672, 1416, 1506, 1819, 2020, 1627, 1595, 1673, 1417, 1507, 1820, 2021, 1628, 1596, 1674, 2014, 1418, 1508, 1629, 1630, 1597, 1675, 2015, 1419, 1509, 1631, 1632, 1598, 1830, 2016, 1420, 1510, 1633, 1634, 1599, 1831, 2017, 1421, 1511, 1635, 2022, 1821, 1600, 1676, 1422, 1512, 1636, 2023, 1822, 1601, 1649, 1678, 1423, 1677, 1823, 2024, 1637, 1602, 1650, 1680, 1424, 1679, 1824, 2025, 1640, 1604, 1681, 1425, 1603}], Line3DBox[{1299, 1638, 1662, 1639, 1500, 1652, 1651, 2027, 1298, 1568, 1661, 1569, 1499, 1648, 1713, 2039, 1826, 1297, 1578, 1660, 1579, 1496, 1825, 1991, 1712, 1647, 1296, 1467, 1494, 1990, 1803, 1295, 1802, 1943, 1493, 1466, 1294, 1801, 1942, 1465, 1293, 1800, 1941, 1464, 1292, 1994, 1709, 1710, 1708, 936, 1291, 1704, 1705, 1703, 2036, 1799, 1290, 1699, 1700, 1698, 2034, 1798, 1289, 1695, 1696, 1694, 1463, 1288, 1691, 2033, 1833, 1690, 1462, 1287, 1566, 2006, 1567, 1492, 1461, 1285, 1815, 2005, 1565, 1490, 1460, 1617}], Line3DBox[{1300, 1468, 1514, 1559, 856, 1513, 1469, 1605, 1682, 2018, 1426, 1515, 1470, 1606, 1161, 1427, 1516, 1471, 1607, 1683, 1428, 1517, 1804, 1878, 1608, 1684, 1429, 1518, 1805, 1879, 1609, 1685, 1430, 1519, 1995, 1472, 1610, 1686, 1751, 2031, 1520, 1473, 1880, 1431, 1521, 1474, 1881, 1432, 1522, 1475, 1882, 1433, 1523, 1806, 1883, 1547, 1434, 1524, 1659, 1715, 2041, 1828, 1548, 1580, 1663, 1435, 1525, 1827, 2028, 1714, 1653, 1527, 1560, 1665, 1436, 1526, 1996, 1654, 1655, 1528, 1612, 1666, 1437, 1611}], Line3DBox[{1302, 1476, 1752, 1986, 1301, 1477, 1753, 1987, 1641, 1478, 1884, 1438, 1529, 1479, 1885, 1439, 1530, 1807, 1886, 1440, 1531, 1997, 1480, 1441, 1532, 1998, 1481, 1754, 1988, 1549, 1533, 1688, 1718, 1719, 2043, 1613, 1581, 1723, 866, 1582, 1534, 1550, 2004, 1561, 1562, 1555, 1812, 1887, 1551, 1563, 1564, 1556, 1813, 1888, 1552, 1442, 1557, 2003, 1482, 1553, 1443, 1664, 2030, 1716, 1483, 1554, 1615, 1616, 1614}], Line3DBox[{1304, 1755, 1944, 1303, 1756, 1945, 1305, 869, 1306, 1889, 1444, 1307, 1890, 1445, 1308, 1891, 1446, 1309, 1892, 1757, 1946, 1310, 1687, 1758, 2032, 1721, 1720, 1759, 2044, 1311, 1535, 1893, 1447, 1312, 1814, 1894, 1448, 1313, 1999, 1536, 1449, 1314, 2000, 1537, 1450, 1717, 2042, 1538, 1722, 1724, 1725, 1667}], Line3DBox[{1316, 1760, 1947, 1315, 1761, 1948, 1317, 1762, 1949, 1318, 881, 1319, 1895, 1451, 1320, 1896, 1452, 1321, 1897, 1763, 1950, 1322, 1764, 1951, 1323, 1765, 1952, 1324, 1766, 1953, 1325, 1898, 1453, 1326, 1899, 1454, 1327, 1900, 1455, 1328, 2045, 580, 585}], Line3DBox[{1330, 1767, 1954, 1329, 1768, 1955, 1331, 1769, 1956, 1332, 1770, 1957, 1333, 896, 1334, 1901, 1456, 1335, 1902, 1771, 1958, 1336, 1772, 1959, 1337, 1773, 1960, 1338, 1774, 1961, 1339, 1775, 1962, 1340, 1903, 1457, 1341, 1904, 1458, 1342, 2010, 1583, 1584, 1343}], Line3DBox[{1345, 1776, 1963, 1344, 1777, 1964, 1346, 1778, 1965, 1347, 1779, 1966, 1348, 1780, 1967, 1349, 1905, 1459, 1350, 1906, 1781, 1968, 1351, 1782, 1969, 1352, 1783, 1970, 1353, 1784, 1971, 1354, 1785, 1972, 1355, 1786, 1973, 1356, 2011, 1586, 1587, 1357, 2029, 1656, 1539, 1585, 1540, 1657, 1358}], Line3DBox[{1372, 1570, 1588, 1571, 1541, 1643, 1658, 1642, 2026, 1371, 1589, 1985, 1817, 1370, 1984, 1797, 1369, 1983, 1796, 1368, 1982, 1795, 1367, 1981, 1794, 1366, 1980, 1793, 1365, 1979, 1792, 1907, 1364, 1978, 1791, 1363, 1977, 1790, 1362, 1976, 1789, 1361, 1975, 1788, 1360, 1974, 1787, 1359, 2001, 1543, 1542, 1544}]}, { Line3DBox[{588, 777, 1836, 589, 790, 616, 1913, 804, 631, 1918, 819, 646, 1926, 834, 661, 974, 847, 674, 2006, 360, 982, 517, 2012, 681, 441, 996, 532, 2018, 688, 956, 1116, 1987, 862, 695, 1945, 868, 706, 1948, 879, 720, 1955, 893, 735, 1964, 907, 749, 1974, 920, 763}], Line3DBox[{590, 778, 1837, 591, 791, 1848, 617, 805, 632, 1919, 820, 647, 1927, 835, 662, 1934, 1163, 848, 675, 2033, 1164, 932, 983, 1150, 1151, 2013, 682, 1098, 944, 997, 1160, 1161, 689, 957, 1014, 863, 1884, 696, 869, 707, 1949, 880, 721, 1956, 894, 736, 1965, 908, 750, 1975, 921, 764}], Line3DBox[{592, 779, 1838, 593, 792, 1849, 618, 806, 1858, 633, 1920, 821, 648, 1928, 836, 663, 1935, 543, 544, 1694, 229, 1593, 400, 243, 1607, 414, 257, 1885, 697, 870, 1889, 708, 881, 722, 1957, 895, 737, 1966, 909, 751, 1976, 922, 765}], Line3DBox[{594, 780, 1839, 595, 793, 1850, 619, 807, 1859, 634, 822, 1867, 649, 837, 664, 1936, 1165, 1166, 1167, 2034, 933, 984, 934, 1087, 2019, 1076, 1099, 945, 998, 946, 1878, 1083, 958, 1015, 959, 1886, 698, 871, 1890, 709, 882, 1895, 723, 896, 738, 1967, 910, 752, 1977, 923, 766}], Line3DBox[{596, 781, 1840, 597, 794, 1851, 620, 808, 1860, 635, 823, 1868, 650, 838, 1874, 665, 1168, 2035, 1169, 1170, 2036, 935, 985, 1089, 1088, 2020, 1077, 1100, 1101, 999, 947, 1879, 1084, 960, 1016, 1997, 961, 699, 872, 1891, 710, 883, 1896, 724, 897, 1901, 739, 911, 1905, 753, 1978, 924, 767}], Line3DBox[{598, 782, 1841, 600, 795, 1852, 621, 809, 1861, 636, 824, 1869, 651, 839, 1875, 666, 1171, 2038, 1173, 1174, 936, 986, 1091, 1090, 2021, 1078, 1102, 1103, 1000, 1995, 948, 1085, 962, 1017, 1998, 964, 700, 873, 1892, 711, 884, 1897, 725, 898, 1902, 740, 912, 1906, 754, 925, 1907, 768}], Line3DBox[{602, 784, 1842, 603, 1911, 797, 623, 1915, 811, 638, 1922, 826, 653, 1930, 841, 668, 1937, 850, 677, 1941, 937, 988, 1153, 855, 2015, 684, 1106, 1107, 1002, 858, 1880, 691, 1018, 1086, 1190, 2043, 865, 702, 1193, 1194, 1192, 2032, 875, 713, 1951, 886, 727, 1959, 900, 742, 1969, 914, 756, 1980, 927, 770}], Line3DBox[{604, 785, 1843, 605, 798, 1853, 624, 1916, 812, 639, 1923, 827, 654, 1931, 842, 669, 1938, 1177, 1178, 851, 678, 1942, 938, 989, 1154, 1155, 2016, 685, 1108, 949, 1003, 859, 1881, 692, 1064, 1065, 866, 703, 1191, 2044, 876, 714, 1952, 887, 728, 1960, 901, 743, 1970, 915, 757, 1981, 928, 771}], Line3DBox[{606, 786, 1844, 607, 799, 1854, 625, 813, 1862, 640, 1924, 828, 655, 1932, 967, 843, 670, 1055, 1939, 968, 1039, 852, 679, 1943, 939, 990, 1156, 1157, 2017, 686, 1109, 950, 1004, 860, 1882, 693, 1019, 1043, 1049, 2004, 1050, 704, 1020, 877, 1893, 715, 1953, 888, 729, 1961, 902, 744, 1971, 916, 758, 1982, 929, 772}], Line3DBox[{608, 787, 1845, 609, 800, 1855, 626, 814, 1863, 641, 829, 1870, 656, 1933, 969, 970, 1031, 2002, 971, 1040, 972, 975, 1990, 940, 991, 941, 1092, 2022, 1079, 1110, 951, 1005, 952, 1883, 1032, 1007, 1044, 1008, 1887, 1035, 1021, 1022, 1894, 716, 889, 1898, 730, 1962, 903, 745, 1972, 917, 759, 1983, 930, 773}], Line3DBox[{610, 788, 1846, 611, 801, 1856, 627, 815, 1864, 642, 830, 1871, 657, 844, 1876, 671, 1940, 976, 1041, 977, 1125, 978, 1991, 1126, 942, 992, 943, 1093, 2023, 1080, 1111, 953, 1006, 954, 1147, 2041, 1033, 1148, 1010, 1045, 1011, 1888, 1036, 1023, 1999, 1024, 717, 890, 1899, 731, 904, 1903, 746, 1973, 918, 760, 1984, 931, 774}], Line3DBox[{612, 1056, 1057, 1847, 613, 802, 1857, 628, 816, 1865, 643, 831, 1872, 658, 845, 1877, 672, 979, 1992, 1042, 1128, 1127, 1179, 2039, 1129, 1130, 993, 1095, 1158, 1094, 2024, 1081, 1112, 1113, 1009, 1137, 1136, 2028, 1182, 1140, 1141, 1046, 2003, 965, 1037, 1025, 2000, 1026, 718, 891, 1900, 732, 905, 1904, 747, 1069, 2011, 1070, 761, 1985, 1072, 1073, 775}], Line3DBox[{614, 1121, 1122, 1058, 1124, 2007, 1123, 1075, 1059, 2008, 1060, 629, 817, 1866, 644, 832, 1873, 659, 1061, 2009, 1062, 1063, 1180, 2040, 1181, 1131, 1133, 1132, 980, 1134, 2027, 1135, 994, 1097, 1159, 1096, 2025, 1082, 1114, 1115, 1012, 1139, 1996, 1138, 1013, 1183, 1184, 1149, 1186, 2030, 1185, 1038, 1188, 1189, 1187, 2042, 1027, 1197, 1195, 2045, 1196, 733, 1066, 2010, 1067, 1068, 1142, 2029, 1143, 1071, 1145, 1144, 1146, 1117, 2026, 1118, 1074, 1120, 1119, 1029}], Line3DBox[{762, 919, 2001, 1028, 748, 906, 1963, 734, 892, 1954, 719, 878, 1947, 705, 867, 1944, 694, 861, 1986, 955, 687, 856, 1048, 995, 1054, 1053, 680, 1993, 853, 1047, 981, 1052, 1051, 2005, 673, 846, 1989, 973, 660, 833, 1925, 645, 818, 1917, 630, 803, 1912, 615, 789, 1909, 587, 776, 966, 1030}], Line3DBox[{769, 926, 1979, 755, 913, 1968, 741, 899, 1958, 726, 885, 1950, 712, 874, 1946, 701, 864, 1988, 1034, 963, 690, 857, 2031, 1162, 1001, 1105, 1104, 683, 2014, 854, 1152, 987, 1176, 1994, 1175, 676, 849, 2037, 1172, 667, 840, 1929, 652, 825, 1921, 637, 810, 1914, 622, 796, 1910, 601, 783, 1908, 599}]}, {}, {}}}, VertexNormals->CompressedData[" 1:eJx0e3k0lt+7vkZEg6EUUhQNEhWllDsVJVKGUqIoQiFjUSmUzPOcmSbzHArb PM9jyEzG931kikS/Z7+fvuec3+es85e19nrXHq773td9Xfdj8955qKSzko6O bomejm4V+Xe+2iZE+g+BNu250ORSwnrKojjxQ/8lF7D0bzhzhhx/lxvfW3RM UVLid8IbA1cXEFDhmDxGjm94wC1bWqUpqZBuk5ct6wpnDsZU85Pjs95z1dbs upLowPKjbmc3OOV5T20dOX5xfuWlvjuGkj7FIRW61z1geOTplYFlcpwIoT9C MZFMvnF8C/R4Qo83vXYCOf5KlcvE7Z6p5D9/veGiscH8XXL8YY3noaSWR5Ln tQSn98n7ggNrfhIdOe7nGkOxOvssj2Ud1VkrxB9KuLY3P1ki0PHZhMMcgpQ8 DY3zHTM6QbD6vXpl6W8CfWJ9o7fvuwTqPlwpr5sVAqzT7HS+i+T+D/mcFH5m i0wWdjSul4wA27OuXYwFBHIotT1/+2UecjwTdkhmbSSsScpr2yo1in6ZX3uh +G4A8ZRELE5ZeMLW7d4F/Zr96B57Ue2ew2MozsE3r6X2Ljwt5hyWIHHYt76n bcpGUXIq7Oa5kBWuYFPIJLSH3P/sfusbjc6eMNpxgBgSd4XojH0WfOR+0gvL 7ilsi4DGi1elk3tdwWHm+86qOQLpeu2XUGD/AEuitXKFy25gwhm7fvEHgTKT l0Y398XD7R1VbDkhHiB8M9LEn0IgpgtrTqpGJEMai2znhkFPyBD8vfLWGIGs fAKIR2tS4ehmh1xhWW9wsDd5XTdC7tNxrdyAXyr4C70392LwhXcq1005Rgnk Zsotr3s5FYr5DAKlhP3hZ4Jj2YZxAlV8zLj3QywF9DUX4nKrA6FWr2ODEJVA RyeOSZl8ToTFpO4Bn6lgMC1WqVyaJNBBhqtVGyNjwSDJ7qLdx3DwXKx4vp8g 4/vO4feJ+DgQ3HGrsy8sEm5TPwZTpwjEs1h0WlX0IziLlcYEhYQDY03vosxK Ar1xukhP+NShzfqVycOpr2Er/X1tThLnarnD4XyP70i6it0Vo1dwh/YLmuPX fhEoz4klxNIkErQPF0SrGbnD2ksabZtJfGR6efikZkh8zsQvqzW6gztbod3e DgJtP7M8FngmCyaNZtl67Txg1YFdjHolBFooyjoYdzEPbIy9jP/IkHl7rtes MpVAx5ReTu/ULYAHyRM9Qqu8ILeVtyHwHYHe9j2JVW8uhAH1KV+lFd5wOKh1 ejKcQF1ez0s26RSBVfiqT4kKPqBtfd3bP4pAnBxT5Y+2FkH4wX2iz375gsj0 ZViKJ5ATnYHn0o8CyNn8ZM22LQGQlXVv351cAnmu8VEcnkSwIYVFrT89CFqr 11Nl6wnEfUTI9H7EZ+A3OJbcPxgCZ7c10dW3E2jLxHSQ0LVMiBabEt2zIwLs ekv2XLtCoMPTrau7t1RCRKOYc6FhGOxuA79lrzHE1DBGudbcB7ue3fY8xekA bF6l2+rIvP3yZnrsk4+RJL+Pqt2UhRdsWfSVqiTzMEDm8/3pjnjIuiTGzGXs BUztcp1lNQSaOOnmHPDzCyj61E4MaXlBx4TV6vE3BBICBcdYShE41FxR8lfx ghg6b76ZuwQ6v64okL2kHB5ON9xOueoFDZVMhc+OEGjdwqqKpGvVsCPQ3oef XNfBd23cEAuBYhO3eoi514KBfcud5SIv4Pnt/UxhNYHG1vi+q7lXB8ubuB8P KHtD+2DunnvMJA+0Tnx7P1ALT3qd/0ge84EOtayXyXsJFMR5eKvWuhoQ2d7v 8sXWF1QiT4u2q5BxPE/PP9hbAQUUS52oC/7Q7VgZtsaJQA167Rw3X5XA3s2f 31SHB8JshWDB6WQy/8NdVtA/K4ANqRpnCnSCYQXdCvdzu8j87GXY361QAx/F dkgerQoGL3HeG7rhw+jBUCCHsN8QfGFJZw/e7QShmR6RO0mcz0XoOKQxWkq+ PsgTEjfoB0qZh0bZukkeGPR7HRf5Caqc43LfpfvB4Wwjj4DXBFqvL97/uqoE 2Mu3BWkf9AP+jh9xPesJxGj9Za6qvBZqN/Zd9HngCy/a3c12e1DRxn7htWNT jeAoHMVxws0H8tNEhQv5qEj8VXu32vMWKPuSfXg2zRsMN9m6M3dQ0Pfng/TN a9ugum6VA8NvL0gNSXd4lUdBWUcqgd63DfKSTtnwWHuBe6ba8cxGCrK5VHb6 lFAbPO2+/mmNvBewLDtVX2WjIoEryupcLS1gUB92aeqZF4Q4JbjkP6aiy3fW RMc4NoHv8lene/zeQN+uPN09SUVXtXwsSi/Uw6fi3hPrNXwg9VU/o6kGgUb1 Nj2vkiDj8jVltfMxP9hIJ+ySu5FA9gl/zodH1YJi4iyv4vEA4PuQUbT70QAS 1b5wtFtnFJQMYmNqFVwhqTriKR9ZF+zMSvcSQy8lV5/6PkqYhQPTONNOcfL+ crK2GEcGF4LvDJdgYksYfNxWvjIon4pGBqsmL75pgJsODwwS94TCVaPFPQcD KciWWSHshexXCP5l9qm84Q2EPtZWuvZoAvkxcj3lPtoF6g2UUxaSgZCez9n2 0H0cTS34y86e7oVZ40tSbJ/9IEpyeHPK4hg6qWuhPyfSB99H11rmGftAVprl qaHyMaRzebX1UZs+gJ7ZDjkrLzgx2Wt1++cYohxkzn4n3gcCqGmLWoEHlN+E 2iN240hpk/7uANVeeO/XGsOq7QZb7pus9tCYQAm8fusdQ7rA534pa+dPF6jJ 8j2jYUJBpss6Ygvr2yE2Jlvd6qMLPC4Qtq54RUXsc1etS443QeQhE7biSlfY S53j7/tMRXxZv4K0Ghsg4MmnY6n6nnDBmhIrltOCys5NSF3ZSoV3pg5jvTku cPGlovpVkh+sP33QqJ7zldy1Tm0xLTwRBMXnftS9pCKd7IZnQ5RGWBd0IyB7 KB4kWCfeKqiPo+2lwi6O9r0QH6zY3fLzI9xz2LzC98AIMlAMfiRNGYTrOeX7 aj6/BWYfuWX+9CHE5hS9KdJ6GIZr7X64rosENPxweCfzIOp3Lk49QhmBb1+H Zb9sCIFYv7eVejwDaC/DA+7X70chva6Q55tQAAj5SSbwtfSjyf66I8pdo9C4 0Y1jzSEfSKw8X9crMIAOZDeZB0SOAqw5s8RW4QF/+irsbm0dRAHT/KIG30cg icWb/ry8M1lPn6Sofh5CHL92UMzI/XSyFby8VGEPcav3/qJsH0Hg+p6/l34I Pnmfd1OQtoN4ikScPe84OnX6eZ/Sz14IObRX+eEGG9CMo1QMxVGQAYfcZpa5 NqiqvpA3XmEDXK4H7RfTY9EusRmRPTMEFCzVL7x97wwjfh1F6YkzOc0Wy0dF LFsld9Iv//nzhwCH6oTLj6Jrc2QOvLvN/YiAIDWWl913yqB/foFetQ/luB+R GqzuIqD2zBoV/luZ4LV7u0PDxU85XozZ9g9/EKD+qG5I41UiMDDFacd9Tckp ZJN5rDJPwEalDX6+Au+hdn9pcOCWpJwfWmluLxcJ4Ot7vWX/jwh4Fmm3Xq05 PuehffwGiSUCTptJ+seHvwFEYVzFLxKfc5x748nTywRo62ncrdzrB8H7g75t no/PkWigvBoix3+LPhayrvWEsWP3XnppJOVsvOR1XIk8z3rR34ynNJxBuCk8 cYkpNaeqN2byDTle4WZMT8f1CtYJBMp4WXzKkejxFagix+tXxNcIsVvD3IC8 d0JjXo6Z7+nbo+T41RW7PBjozeD9r8o74k2lOSJtKZcXyPGfY695opO14Z47 9yVF5focnivz/cvk+OXkbXtW9F/5Tz5Dl4DZLZzPgn/zWbnhC85ncFkt+xzn 88YCD1o+rz/O8I7MZ3jVvuyM85m+s60H5/P+O7o4n8HW+iQtn7UoG/bjfBZr laQTSB+CKdSyAefz4S+iUzifjd454XwGV/MkWj5Pr5aRw/k8Y8hXQ+YzSFPc OXE+3+Qp58X5rMo4mEzmM5y9tOcQzud6cWtunM863tzNZD6DRttRE5zP9+Im 1rKT+Vy/7OtC5jNcsGQWwvncQ8/OhvN55V6fHDKfgVrZ2Y/zWUStzx3n8xYT Pibq9hFIDBFixfl8VGv3G5zPh0u2fyHzGd41c5TjfFZ8kqeB89mV4XMpmc8w uWkPP87n+FUxuTif1xXOURfSY2Eo4vZhnM8JEWeEo8l8/svPMPPqFB/mZ+a/ /KycfBnzMzxXCNfH/Ky7pEHjZ02LuVUkP0MFr9MI5ueAg86GmJ8LL23eT/Iz cP/a6Iv5Ode5lcbPG9MYr5H8DENnBgwwP5/PZZDC/By8q6OT5GeQcnSSwvzc E75wFvOz3ELxNpKfwVzg7l3Mz7d+1T3B/NzLsfE0yc8woLPeCvPzoPeLHszP MmzZNiQ/g9SwciLm5ztfXLkxP+stJjSR/AyH+M9yYX4+e8IrDfNzZOdTJpKf oS8xcMqB5OfKVmMuzM/CL6owPwOo64hifubNSLiB+blkKVuZ5GcIyHr/qpTk Z4806kgRyc/XUkJ9ej5TgWlLvYkByc8FzhG3Ukh+llC7uIsnpwUWPCRfqpD8 zN76tqGQ5Oe/egOsj03aYr3h/FdvON89i/UGWDio22C9oeqbSdMbKoJzWG9A VM1iC9Yb0lu8ArHe0DZjiSf1BmgyfpnBeiMnsVoO642kmefmpN6Ar0K76LDe KPtoRtMbZRPOIqTeAM5CtTasN/STOGl6Q+/uPqw3IFcjnhHrjWBpc3usNz56 tzqRegPOqqwVw3pjd+pzW6w34lZeOEHqDdhgufIk1hujlpEZWG8MP9LGegM2 SgpoYL1x6I7ZBaw3OIPG1Ei9AcPu15piSb3Bwmz3EOuNTZlHVLsmqRC2PJ/a SOqNJs8lCWZSb8iFqeve0yDgbKjZfOrJCtBaYb7PjtQbt7KeVchtJCBXMaCh OaYWhn/lbP0tHgCL7o/nH5gOAL2KEmTpjYJa6o58bdIv/9XP8OS7SSfWzzv/ 6udo+yCsn0G4P1UH6+dr5cdo+tnBzA3rZ5jdNf4Y6+cGAzWafv6xQXwNqZ9B UvqRBdbPl1fx0vQzd5zRLlI/g7XGeQesn3fXyWli/Rw/dKiI1M9grluVjvWz 1MpsL6yfk8ZvxJP6GbaucbLC+vmytRJNP08mnH5O6mfYtofFBetnxm5tC6yf ny2pCJP6GUJrWu9g/ZyvfG4FkPq5wIObLWUvAWo9ZlaqpH6Ocqf7gfVzrFmu 8oAKuZ8K1ckdpH7WOeMVEkPq59dXt9a5OxFwV6pKs/hxCbgqqnw+FhEIAaLX ecYzCGDtXvYxaM4HWaIVPtwPhgPWB08EWRIg7Tm11XekFFZ2faFqcoSAiLKr 7mL7GBDqMx0J9/pAQaQ6Q8vX9T9+EDL7ilz/px/8nXQP+0G45qbpif2ggLky zQ9m77fCfhB2Fv1hx34wfF8ZzQ9euLyI/SCYNx38iv0gs+mezdgPSj94gf0g 7P3tsQX7Qfa2jIfYD25P+WFO+kGQFFVvxn5QMiS6D/vB23abG0k/CCcud3pi P9hZXeyP/WArX9wM6QeBLrApCfvBS1r2ND9YvwJFkX4QFG3HNluQfvA+y7I0 9oMMa/Nyl+MJ2HN6hVoT6QfXXRXl5iT94CsH2XXWuQTovQ3mFR9DsHFj3bZ5 0g+mviLepDUQkJ6Uf+r+kc/AM3DogOD3EDj9Sr737AgB9vF3HFSyUqAiw2f2 sUAEPJa3PXWc5Ntnnq8fcznJICm093kFezgYnpXQbqgi4Pp+1YLtb3PQQIvG LfN3Lv/pbwAD2p70P/sbpzVYcX8D1m+6K4D7G/cSD9P6GxWi8ri/AfRfT/Lh /gaDiTmtvyEpyMBbNUeArdgPZtzfsBrzVMD9DfeaZdzfgB6f3a64v2HziG0L 7m8sD47i/gb4calsw/0NV/cj7bi/cTgoaNWtMQJanbtjcH+j8Xwfrb9hbyDm WEee12XikFO/XyqIEiGmuL/hauhgzzFKwJmbpdRbl1NhyMkyAfc3rjq//bVx nADfnMzxO2IpwK4R8CavOhA8WWdPHqUSsCGgf2ggORGq6FongqeC4YV9qlPb JMkPsZZFLbWxEH3ttZ76x3BIhtLBVwMEPGY8nDRhmAbmRcNt5oGR8J37Vab/ aipkG8mEJGxthWPWY3FP00IhIcmRSv0xBPtKfN3bZIfhaOZ113ubbOBvvw7i a80Hy+Q2/btfB4dixIz/JCv8u18H7aHFUQV3b/1Xv+7cP/06sL0h8WcuT0cy /2+/Dv7p14FrzCEL5/r7kn5/+3UT//TrgMHX66Zxn5Fk6t9+Xd8//TqIuqf6 zFHURNL+b7/u+j/9OniV8MY3e9ZY8vLffl0tC61fB4sP2qbD/N0l3Rn/6ddd ihPA/TroMOv5mfa9W9JjRoHWr5vq4P5RSuah+/GRoWr+fZAq4vcQ9+tG78uc byLzR+Zn/FXBRQOIL+2eEZKMgEPpzIsmU+T8vj/SxKc+gKfK9ctFOyPhQHfJ iu4vVBjaf2O2o4zUA3Z6MjJk3HcYJx2WspuAr3p7Z1RZuuDj44K5sWwjaJfy SuVTpKKtF19HCgk1wecdwWtSK3LgkjvjhJ/yMPLv0569kDsE78IPntrskwHH WngLb3zpQ82cIb27vMbgha1cshpnEkxaZHaJFXxDmx42/NjlNgGnbg7JLkh9 gO6jFzUeffuK1L7eEd73mAJ0ntPLN1ZEweuoS/fVM1rRNs/+w/7DFOBv1nzw 3j4Evrq/3ydf1IIa27Y3fNxMBdE0MZ9N3f4geov3DFdtC5IfFVe3ZKdCzgpG H+KuNzjMvXTXbG5FSvRMoUKDFJgzOzmx5YEbeD8KfVa+rh05iO5KvWBKgb2t vCxaIg5wN3R1RuDMNxScNrR03mkCnmT5Fe5usoXk1dqR3g196A1HQ4e07xhc kLohLaH7BF6IjuQffzmMTtVMu38g9emEh5bBvLspiGWyMnKuJ9AvBkurLKIW knqYWTm67sHFVR4YT/iQ6EvDk385kIZnwScejCdk3LhCw3O/R9RJjKfuy5cY TwjecZOG589QbhqeFnXXe0g8wfC8Lg3P6fGjchjPpebMWySeQPhvpuFJ/ST4 B+Opz3r7AYknbGRJpOH54lurIcbTL7pfkMQTVk5m1GM8mRvc/TCeKGbVeRJP WGq7ehPjyXNN2B/j2Rdi50PiCYuqW0IwntSYdbMYz4VnIQ4knnBHrDoJ48ns eoUL4+mZIVtO4gkaVSsWMJ5HIxvqMJ6aU8VZJJ6gory7CuNZGqKkjfG8fbt2 nMQTfGeeaGI8jcpOuWM8b/eJCpF4krwhLPaJxDPrAu8BjOf6TMsIxToCqKy/ VXXHsqFXWbrWwfot6PMcqfoSQYW18P7iiFYjBASc2LXzUjSYvzNlJGomIEeV 6IKqTtglsdos+nYkPGO0Gzs/NQYVTPItWRJ9sDMi9TiLcRg4xXFL5hmMQuKn jY1L+gNQIWXXtOXKG8jIpPN9e3cECivojl1IHwTtbWLxYtH+kJsmd5Chdxjo Q8sKFOSHQPwod7q8lQ98dL2vrJtFhf08wXvihhsgSGp5y8l4e2BMv6k4UUHA La+mzbwyuUhSiLuzIdgODiy9emC74wv6zcb63riegBE6kc7n4j5wdl7D4dAf Ann4OrxPNTGGkw/aus86uQCvdJPkWXJ8+/zxVZsvSEnWbzaU53riAm8Xnrc0 3/gEM6wLHV96CNTeNDL6KsEDvvCbZhC1TRC3xCMcbUhFu1YVqR+SswDBVG3X 0JsUdMFM8c9q03bY6TzMt2rIA3pjZY+PaY+ir0arrwc/HgAVVyg/WOYE5FVv FFtDRR65jI8u7WqF/uVzClzHPKFUP/XI144x1PS+TbVVpw9KArV7F1QcwCvm MY4XYk6SvY7jxcN8mxav7UPvuAY8CPTa6mvWWEYRBLwI6Hu5n6wnwIDjiLbV FMrhOIr029DiuK0vZl8hPQWlh90yO/SpA/LnFbiPscaB1eVlobmGQUQ3Kz11 XH4ESrhDM65MOEDoe2pSctN3VLysFuJs8B2YB1/FcAy9BGZ5pfb0+AmUWxvi /vreN1AcEfjRuPo1VGud7JT2GUUpK/sV90oMwEjrNrvkWRvwWGyUJeOIEmyN 9XEcGYyZ2XEco+R+HlwMnUC6mc9Us6O+AevyoTVqni/AA7Jvk/FF/tTrwtvJ +A7ukPyO40stlTxn920COQjfWgdRnaCUUN6/Jtce+K7d99CaG0NHNysu1Uz2 AiPhELF0Ixv0vgY2TdJ15aw4mJrwYZECN3s1TJB6KzBQpb/lHxlECaeTzgp9 GoE1s+cfV0mlQiKPUtzxmB6kkCNy4HHhOEwk7mD/WRgLtXmZSpudO9Be5Svn FTkocNzN4F7f3bfQfemL2a6QNuTtqnJiKJsC9T71So2/woG1qCzkA2cr8vfL XhBeQ4WFvfXJnS+DIPL6ra03YlvQM8f2eD9Osm4nvlsItPOFXDNHTqpwK0rY RFX6upIKsdfo5iIee4LpsttAWlEbWu9X8zEggwLKXwRqMw46ww+X3xqhOR2I R2btVVNWChy5LODbrvcK4vs7ChraexDnDxHBIwXjEDB4x7nx63OwgxD6APlB 9PNPJYrOGQHRQnQPXXkEcnXzQjn642h/40crBrteqJMwOEfHZATjV7MxnmDX 1vQb4+nTZUrDs+B6Ks43CKrxzsT5tntTFy3fru/jwnhCqnAzDc+zV0IfYTxl PLXiSTwhdM+AIMazYe8VGp4sIZtUSDzBQnElDc8NYjY6GM8ZiRWPSDxBzKn3 OMbzsrSzCsYTrviHkXgC45+7NDybt3xPxXiuGs3gJPGE76yGNDwtJtmWMJ67 92rtIPEEvjMMNDzjhIMWMJ6bnjiPkngCg+ebDxjPgRNqXzGeNXR+hiSeIFL/ UBHjaTq7PgLjyZXd103iCSPu3/gwnuWvjD5gPKm8wyfJe0ryTYQsvqePmifG 8D3d4nyTn8QZzO5qfcA4b08/5ohx9ny7e5C8L/D16/c7+L4YH3u0gO+L9Lp8 LRJ/8GmI34Xx53A5/BzjP1tz4wR5L+DWzYV9+F6cCM1nwfdCssSIicx/0FzK +4nz341vORPnv+Lzx2bv28chNiGgcZN5D3zl6hR7Kx8BKLyzWY13DCwNZ3xu mPXD5QC3clGVEHgsOmwZ3zYCFju8Bn7uGQRGM+Y5e/1A4LtcpsvDMgKKboFN +uxDMH99w4HRJV+Sb90Zp0h+vi2/jdIuNwSRA2GtWbWeIBqXAyS/gQzHm8uY 32xFjOoxv0kzj/uTfAg/lL7UYj68mXbtIObDM4c5JkneA4etja3yJO99rE/S xrz3OPdo9O5KKhw9e+4kj24DaMsdeljB5gWCw7/FT8UQwKxQf/Pqw0L4MXtk ycveG+b7tNkVlKhwumR9wWuDZnTJIlk2Y583FNPdPCLA3AJUT4VM9m1UsBEp bpHNyACOcJYc4QHSPx+V2Harph/0dFcdkFzpDVSxW7guwMPw1464LihE/H91 Acrd+RPZ/0dd+KpzWfm9TRsyEfKoeVxEgWMvnkQ2nrWCDJdVR6M0KPBZUmqq 70E7uDjFf1g4/hI0lfaWnSPrC1R8XvWQU0qyasMtg+caLhCWNPfmRvAgMjhH POJ6OoI0S49RqxafQPbHPVsmvo+j1fqxl4OUeuDPvru/nN1cQXX1OZbM/gmU ZLj9BfV1J/RlOX6f/OgCl27/yCX5GQzEONwxPx94+i4d8/Nd94UJkoeBhfni CczDZoJe7piHp1O0UrbUD8NHTuH1D28NgV/ZRh5Xdm/IaGjZTq4LXm0XRfG6 +0RgpQu57sscza3kurBz5KwWXpfJVn8Ar/vqQkPE4xUkvt1LeizHW+HEfY/1 X0m/lnNPvDemmwp3+az0+FrqYSb3wwdLcXdQOYY2hTePg/4fnSsaXj0go/my y/Ka93/wgbd6e69sZoD/wic2o/H+HdYxNLL3aWK/az8MGR1uYzFwBMHfLHau n8eRwlHts8NEDzz026pb8fo1VPwy5p6NpyDO/veNtUQbtG+5wMFXYQ/OJ/aY k/NA3XWNSDxPW7tGH55nvXWiKzkPFF925MHzqMM3YzxP3bMSfnIe4ADNt3ie kzd4d+J51JjM6VukRtCP5zPZjN8GYbe3os7gtB80/opRdez9jpz1oiYzPg1B j/WdhlVBJaTuW6UrZUqFK9uSXuhxNoHYBveT5ZAG+e8LS9lWUUCH60G4El0n VB8u0gzebwm2okaLm7aNw4l1qWHLq/rgzI4Dn2bdncEp3GKcWXMCfoccrQvy 6QL/C9fN2oSdoOdmafvM1VZobEg63fCbAu0GUj+eDJiByPHGe+S6SHftoA1e V0Kjnrauu44espkfRa7b5JUn/PtBcFCm1r4mCd5F8aSS+0EHmPjm8X44apqu 4P3I2t7E54Kn4TO0c7H81KedyyfcYnsBdyS0rZarEV0kEFfxGNW2xhoavC9+ 3T3fiHT6e/UaPahoLttnD8egMWy8GT1Nngtp/eSKw+cyZLwQh8/1Mse/lzwX ot80OY/PNbklVR+fq+ljKevihybY/Fmjmt6cCi+P6Ly1LtMF1eZekaSeBrQm f+ce92wq+L6YF7IbtQfuZ9ZrnWEAFV58kiPpOYocCOpaxQfG0BhiWIR1XWm1 4nfbB1dgpdHAmhJ1F9g+59x57wMVbX79NkVAsBG92/Lbuc/lHZz/ybTSl9KH qJq18neejCGpLzecXXyjwdDrx909QfVo7xeklDBMRbxLL49asGvDjJ95unpK N3Kpk0zOrx5H04Pf9/78gMAy2axwgJ7kZ0cl747mbnQg7vRq4VtBsDaarStQ iYoUdYfvV95vRiODXpv7Sb6q0N3c8b55HG0/NtsmRd4LlqLZFc/Je1Gqd9oy g24CtTzfIdzxsxv0P8VXbvttB+zNUvt584eRa1qvX7nJEGwH5m4r3mdQr3jo LDkOuw6feYLHgfpiAY87W323J+ch61X+Ujs5z7QrpQnP8+fnqF4eqcPzW8oT fmYMgsO31JZLJ9zAxiXXdqB5BC7U5LNQhQZBMnjuisgdF9DZXnJSUHYc6G8u tDIE9KITnLkhj2yTIZ/r/FUWgoC+k/faBN8lIl/R6EXf6QAYPTxWtNBCgE+Z SexkVybYOh5fq835FjYprhM/u5P0I7khP5cWqqHml2JNkVQsXJpbX9xb2wWp r7YX5l6egKXK/t2brntDZylbKzVmGM5o3c6JcxqCA/yHQiHREcqzaPEFBR0N Zhzfcft/4qtJ3EHBJP8cPepxjfNtPZxkdDJNSn0H8jFaHvF8g6DM5Kci0TIC bkayXFlL76DarHYtHI5CNuXXYtAvAjH80jLM+GgCU3ZNZzg6J6Be855UWEwn 7C4MeaQZagkKIe/jdk4TaNyWah1sFotgIG5H+3F/yL/V78xpO4H2+ad2GWzu QhECkRzDZ6ygeLR591NFCtridvNVytt2WD28+d1rlydws7pMdH1HcU5AW6Ow UyEBAtWrXy7JIwhJ04iyY/mcc3E9g6fdGAEuBWPPehxSwYSQ3N+dkpaz/GrD 19BZAkQeDptKlsSA6Ds+VxO75ByGArRD5BcBdU4uGY8vRINM57qwC58Tcu6c 211k/ZuAytcHOz/8DAW5Zzw76FTic5oG9RRqlgiwFilnOpoVAG6GvE8GdeJz bv7JqwxeJuCCCtVSt8cbHk3TxSEiIUdoS8ctXhLvA3uTv0i0uYGCsbm9VmJy TshVytEn5PildXOffvM6QKprecSLkbQcdv3ZkAxyfNNqV/t2sAURdcp1h1/Z OYnc2Se/4XmuOjCnjT8G/hspuh/iCnM8TnoQU+R4kqVJ8e0xA2hhtnZ6+pFA u9ZKsr/5WIjqP+3Qs9W5BV83Fl7qiKnKiZHpX7dE/l794SAH/aubMNUai30N qBip0XzNiu7LNF+TWaFek5I2Csr8D967rhyAWqM9kWvr3sOuAhGLipbv0BsS M89y9zv86aE/GlwdBTf0lxlEygbhPV2U6znFEXDVqP5MNxoGjQaqdb4vBmDD +/S1+uqjkKJgITVsHQQS7XEpu773Q6TNZl3n+lHoPcix2meLHzCtqHpI7h+2 WdbWhJD71683u4z3T+Vtl38hMw6flLPMG770onobVvmVS5bQ3bAuTIZ1BPza n4WdJnUXl1W6NI+CB0gM/RYi8wrK64dkjci8qrBPK/1O5tX81d+G5sbDwMkm cHNLyRBKzTBqkj39Bu5dkOd6XUqgWfVPNjd2vJNMaFUfD5fOg5ZH883meRQ0 KfL4Xd5wI0RtD7qefa4auLTP5u1m60MdSnYMe0rGQKrKmquiDsEJKrNh2FgL yr345tWDnxQ4s46w7LRKAyNvifTJh/Xo+l33IeU+KsxuWz/TvDUOzslPn+A8 U4UOBCmUuZwiYLP0T1/LE2/B/DX/6dFz5Si48oXUU10Cnn3fvE9DJxwaeG8X NXWVIlF/r6PFVuT4zbA6x2+B8OrxbmWZd6WItfhL+lFrAsSKhM7xtfhAmzeH 8ZJjGbpSpxp+3YyAN9v1SoYdPOBr9RnblfkVaHhVNf2YKgHbq0uUXyY7gn3s XS15ag0quTLb7shNQMLqvRe/5tuBelOqcFd5I6pjif6wIoAKvS75v7b+fAIb H2RIGze1I8PqM0+VzlOAcuj3YKGDCSQczt5OxgtliDsV4HhNtj/egeM1z7x5 LCO/H00I/64boozC6Rc+wcHf7vwHf/jZUfP/4Z958QrGGbjeW9FwPt/sR8P5 fJxspEFGBzAoTKk4j0/ApivMZhp3siAqbwfGH6IS/Wn4Xy/8Q8M/8Fa0lHJK I1jOmTtTnahQaNP1XmpDMoRG9qeRcYFrNkG0uDS39tDicvHLOJU/sgZ+MgwK 1m4lQGlqbEj+7AfgM5LH8YK7uqq0eB0If+CH4+XT8eCFs30FnPfzm3tyjQDL PSKbFgoi4e5hRhxHaOm1ocXRSOjofhzH++0JXC66ZSQfjcrUmBLw7cF8meVg MHRLKJaS8YWTzA9p8eUq4m3A8S1N9dz7KqwUBIT+yO8g4+sf+Lhc7Ig/XE5g UCHjDj+OptDiTufAJIPjzsVmzMQ4VQpPTao/bXhCgCenoFphmhfsSLU1IfMB Gv1laPlgtOdHBc6H2BrDdFGzcojYKZ+mpUeAnHiW1vZfLlCiKu1A5gm4f3lG y5NrC443cJ5cK73kYOZQBZ8y/F83AQH0Gi78FyLsIakw0ZDMHyirOkbLn8G2 TkWcPyFrT/v88quH793O8t3DVJgZpdNxZrKBlsLck2RewW3hqHc4r7yHBzdu I/OqULbWOqysBV7VLl+f2EKF7bdPHNDifgQboNiAzDc4FPLOFOdbXmcIXRGZ bxcZMp++4eqBW3LH9gj8HAdX2eysKcf7sPHTDt5P+f0gJSP0EefbpnWTjTjf hmxVpZ2EvoPReRdhUxay/q9TjWGpvA75DHvbeQsoMPa79d5L4zZQUS7LXasT BVJqwzfIegTZZ6O8ksl65J8d3Yrr0QPV47fjQ1tByN3PPZNCQfM7PljwP/cF O7EyBtG2XhjfIsbwS3QcJlikDS5XO0PCVca1+P9+d4Tx3d594pDkMj930tB1 F2Cnk15t8aILVU7KzGvpTCCrjWdWHrd0gE8i9x/kNTcj6yWXJ2anqXCO00p1 R683WG/U2aPDGIHoLbLPVi6S97rFznwb9Snkd3h68lfUwHVBlvkyHgKtmftw eFHKDqZfnqdjaxlDG3lCV6x82Af+X/a2qRe8hDcnVZ/U5Q2h94ceToZZDcOx mF7vZe0XoPGZfrlsOwVVLFYLmrt0gMAfYb0MKzvQ6HkmO7F/DJWKji5P3u+H KkuuztI3VvAr2PBJcAaBHkdryzLvK4BbzeufnuexB+KPdhrJt+jOT4VNmG9d D3cLXyT5Nq/XPvqqOBWdy85e+WhdCwSe8Y9aW2oDQ4yqOmTcUc9jAw0c98mn HOw47iLeX7s6a4dQwMve5OH7w2D4QF1A6p45iDNzHSPjjm6Oyp3AcX8pfuQ5 jrtvXWzFyVwC3Qv88/n6xXzo3sxfyfHIEiJ13u1GC6QvCv0Yx1M8Cj+vSXvl XLGEUc/Qu+S54JBRRTs+F0+c+Sw+1/vriiu/1Q7BtrWj7nhdocd95/G6ze1E a+q9UQhcOpAn8WgAzuiv87ArNYaSHQPV5LoQbBl2Da+bmWdahddlWhHWxKxD gS1i3lnb5dpBWFgsJNPuPjh17mMq306BS3sOTJmROBvq2BtjnCesWzh0fhLA 762ZorEhFB68E1FfbxAF54h9UdlzBKgpHD/SqB2J4laWv+lkjoRDH/6EZ+WO wR3pfWXSLn2QQnTldhARoMcW7QVHJqDCx794UawbtJKmJePPBUKiaK87GXfg mtXrwnGPVX6djOOejwrWk3kC57Z3T6wg8+TZPHsfzhOhcgld/P0r9mys5w97 YclbXGYHKxRd/jOOuH7Q525nO/Rf49rDeh94bmagX+pjYroDBFjcZGWgXLgP 0ez7t4rcGEMa44eCVPb2wxV7J7ePpjbwhLskgmGegnabvyhRNmqF7BGJobN/ bGH5xdCE0EkKesL47FDP6g74JVA+85bkjeITur+6Hw4jv365aZfyIZA3PDDr tewCgs3le8n54c4+Nls8v9Xt1iA8f7uShR2ZnyC/ZeomE5mfy0t77XB+Ktgk JpLrgrQL/1O87qOJ/jG8rkDR9x/kuvB8/DcnXndBMHIer1ukknCRXBdShgyS Xcl19XqiBPG6UjdkH3YxDsHrcydKe7hGUEXe4zjNbY5gINfFrWxP8vJjB2/7 taVQLNDvrLrlNXj43/YQSx4CnegRi3z7YTiVNdiwutnrP/wAxwVupu76H/xQ u238zT2JSEj/tEf3InnfD5s5hWzKNgYjk5qDBnEEom87UvnxRCF677psNPjS E67m7sf1Eek0LNDq41G2SVNcH1NerMN1EAk6uNLqIN3rclod3NB7gCDrHQpY 0Uurd8kcPN9xveOvTLIm6xpKM4qn1TWT7vyNuK6J2HzjJOsXUrw7TatfSZTl Uly/hiOmBMg6hUqYWC/hOsV2pK8U1ymVyVJ6sh6h8Ps/afXoSMTh67geuR/f lUzWHbTcbkurO0yCdeq47gwVHLMl6wtClRO0+tJdHs2D60udl6gzWUdQZm3B JVxHsqZPq+M6smi42fTXhzZ0pVhWNfcLBT5MitCPl5vBvcGsL9uO5uQka4xJ D5C4ZmsfaVQ3tgCRoUbFsa19SCi/ZyiGeRzaO8e0rLzvQc4+o/u8b4tzeAeV n8+Rv9+aP1FjH6sHNpyis45C31Hh6oBnuF7kEEWXcb0QDDfG/QF473ya1h+I mLtC6w88pRNeS585BC8SjSbyzIZBp7kiDrbEALljk+aUfvgkxb1ly49ReGq/ xta9ORouvM4xmi/pBU1tk8E6iXFo5PBU2ZUfDnZOnndUNXugUPvF5Kq+caD0 Df2+nxIETYZXxU84dgNlzME9b/sEyMevOqc/6gvL4hdEXcJJHy0zcz0o8Bvc P7AcRLR7Qo9texR/8xgo27v8FCDv9cMzgWcfR3jCqo33GYiaCeTHId6Pv09F KDDTvk/pR7/E+h91pIrR9H9V6zhN/ytpia8hz4VKpJQp+FxOJb60cz0P9sPf s1BanxDte9ZyQoY4/p6lvPOeOekXEMdXywXsFwQ2aolhv4DYjTAOSM9EiYaD ktcGG4zD3NGOk3kGo4jF9FMT/v711Um0EX//ulzjQE/6C5Sv1O+G/UXo1Aaa v+CJGDEkcUN9wzM03BYP8Chi3Jh4Fjzf3h1BoU+9T+DvZbU+a2jfy7Q9rGpJ P4LSSm7TYz8yH34BsB8Rd8u5ReKMMr/6/MA4f9AtWsA4hycmCjL0DqOLrJ+K 8fe1RftfKfj7WrTz7kTSv6D14XH62L/ontpDh/1LKZ3jETIuqEau1QPHxSEi +zSOS50EBfsIiO0soPkICRN3mo+oEL/ELXFsAnaGVi78Zu+GiLfUtw3Wb2Fy Ocopj6kMms0kbZjI+1JWGbWvRt4U/L59uZNHnospfFMG7j/sGrtYi/sPk0eZ nww0j6DZNHEu3H84uP7WRdx/0AoKj+jmHkb6y5FKn3Z+B+vmMYO0RCe4MrFK c7ppBMVFVCkVCw9CAPEmTcvbFuiMP8Vs/T6O3spOWVep9sA5NsqFE1EvQK5x c3HcMoFWu0fcVgx5hi41m0Rcp/OCwaoVO2OnKYjbg9rF+boV9jUliBGVzyEt x4CJrLPoO//JPFxn3Z/9eojrbJRL1zuybqIdFseXcd2cfvfLCNfNqzdTosj6 iN5P0oXwkPVxTH+zMa6PvSGKWeR+YFB0UhbvZx9FUhXvR0VXMZvUD2DKbWNv QeoHRsqBVKwfWGxzpcj9QNHPZ/vxfiaeX1PD+/lTctiUPC/kdRmexOdt1U5F +LyTRp5F5LnAma8s/hF5Lr7p/bRzJYBSpws5HpJzKuKr0B20Xf9r7NAeHxhP fbGX152Az6nch4VFSoCroqXlqY4bOP3effhmyCjMfjUOaBAaAPMMz5/fBT2B 55rzlIMHAWFPv7PnsZYAa0n4nIOyM0hUXX6c0DMBY7zRRne8O6GqX3ZdobAn RMGpIrvMCTgHBS4s4t8gbShf/4GlJ/AWG0kKkHmpri3NufVeD8hV5yX763pC c88S//SqCTi26X1T67duFLrtXeNJ9gjIXuttzas/ASc+yvsKPegCetVnLhoU P8j1iXevODQOTHoN+nOdvbCV9ZLu+0fuMHFh/67dDBOQrnlmWqajG4xmfjmY V3iAmmnh8y8kL7/+JOGxYJeP7JeuBx5nL4Rlb1ffwZs1UPu+0mRhF4EuaaCn 8Xy+0LWRTUXtGwENLA71x9wy0VqnaLoGbXfglqhO0cXvzq5ufsw07Qr3Uyq3 cRx2Bdb6qy4nSP1g5tb/4M0LDcnPtpef3uN0hTMHmMJYfhPowbrs9sYLISC0 S/zn90+uEM/onnKA/L3P2rp1x7O1JUnlVWbM6gZr5QY+Bs0TaMWFikC5R2/B etXqwXc+btDT4nx+K/n7Lp3IzCSJ+5K71SoVo03cQX+ihng1Q6AnMb3+Nb9i IGuvZH1PjTtIXVmx/je5z+EvsQ/S6h5KMtW2nLm+wxPm/tz10p0k0IVyihud fSJsubo72OmoJ7ioOUm3kr/vPAJ9Tkymkjo5RqOsUl7Av2KFe+0EgTzeGz6O WkgGzptuD9VOeYF64Y3gt+Tv0590DZrMmEous7OclIr+73d2hn/f2cn8/b+d APqfHEJjBOqJ9v39iiMVUpSplty2//u9mN/f92KaTzIS15PzhLBJilzttcjz Tnagu6nkDyZjsxwbRwmkbZS779j1VIgf+LnKYMwPfHax5ocuESgPsvjMqUN5 uzZYC3ilBYLZp6cdfuS64tRLnorPUqBxnbXGHf5AWDnGSjCTv9e0ZApVLzuE ONMp0c+tgoGlVLx+E4VA084Kr+xJPfHgDt0J4+I3oOJ8VPgMGUfe3NOPDG6a osh2K/Wrb8KAQ3rhYwxBoPo4hdTGhHjYwea7EFoTCq5hexQe/CBQ0S1eB90P MWh9SDvHaY8IWGxp9lci8X/xw1P37Jo4WE0IvACbCJDr27uxYZ6KVDVafx+d rUNGDA/TJJ+GgTzXAMMe8vdvX018kquNBXWd7IrC/ZFwcN7szblDI2hLNL8j dXIQ/ThrJn7ioCtoyjkamy8SqJjd6C6rQxhI7q0qr73vDvSK/oGHyP1UKPt8 tK5KgG/brd/zfHaHE/sOXlzXTyC1ySpHZJ8BIsoadGZSHrAz93myWj2B9p/h DNhx/gvpLybMbVd7grKXEe/nPAJRVnRZKf5G0LH7AWe2G5lXLr1j/knkuabl G60LC8BacC6o+IwXyASaXvj+lkBOT66+Nf9eCBetmW3/7PeGI3/fr3X/6/3a RKFlzZkocj8L9EHr+IoAHkjzrirxhVefswzNY0k8fZW930kUwnP6S42nPPzh zwXWbstMAoW5f5XZ8ykfkozT17/ODgSGayX8F8sIJNh0opdNNheyq0+fk7kU DGY6Lq/pmwl0XMVV5JN2NrwPrOfxFQiDzdd7d6kWEMh0WUY7yC8P5GQODmxp Dof0cLGjoWRcolR+pIjQ1YPDhqdnxOVDoJa7eLaVvHfSQ2VT6adjgJHn+ucQ Ey/IPVD9lvhKoKuR/W+z/bOgTNNCI+KeF8S11YuzJxPoa/JPN970AiiXOtmW peYFZ59+NJ2wIfM2xrDOUK0UWnLoHs5e9QKPXJNqZyUCfdx7JV2RuxI0OR11 R7W8YLG2PVZZkEAzx389qRisBkULNLbkSP5+z9OFY5sIVCpJSb8UUwsNm5RX Lrf83+/XYuk6BXWYCKSwkyFx/Uwt7JX3LWnm9IHejcf1y3kJFDTVX91hUwPK Cf4zx4R9gX9ln+jgOZLfmvc5zG+qgn3zkk8fhfnBlG3OKQFjAmUpKs44pZWB sEm3wQ6LABCYGfuTFkigudKK7K8riqH+nOivhtggMAznkU/zIdChisUZVoti WNi+c3j6VTCsOllnfzeCivzM+NkmrBrB/YhqCMuZNxBwgbXPd4hAdreEtKPq 0oDnyeZUhlw/WPnGeCA6kkBCH7mtl4WLYA74NEyV/YD5HsfcPBDozZqfZzYa VcFMtb5pS6YvqHIJ+FU2UNGbz6lPngk1wLqrlYsOyz5wjiXv2zY9Kjpi7jB5 eqQJHFaxNxSd9IEjhIrhehYquuyfP13f2wLtEpc0zr32hndu7z+/baWgnwKb nGy3toHpV84KkYn/+/1a97Z1SKyegtgm8mQ5T7TB1f4zUYJKXjB/S2TZeRUV PfXX0dMTbIUecRdOirEXPLIY2qSnTEWr5x7/EbvXDBnVzxlXDHvB1fo1oxsz yX3e8S5WGmsAjnrqn+FCbzjh+SKxgZtAC2ZxbdbNNfDwHlsFC4svHF8jpWso RyAVN86sVH8yf0LT1sxl+UHEc7Pyszeo6FjJbK6NZDNsfdse1kXqyePidwJf ZxNozVLxffpL+aBk9FUzfioM3Bavf+5aSyDXkUeGz7nqYMzH3yYtPBRsjx3Z e5uVihpnrrdX17VAkuJFmQM5wdD0wuYlsZ6C1j5y2TFb0gHzeoLqy25B4Cpk +0aObwJtM7a8mGbRDa0itksSlwOAMagzyuH+OPq2S8/N0LoXpnedXnF9rx+k fvyVqT07htgt3Gq+n+iDl6mpT9oP/e/3a6f/vl+TDagZefNjDDmeWkwIk+qD cdNy2TI2T3jTrCN2UHMc2c1UzJ3z7IUcx91fdv8m66nrkTWiayZQ4U1bl+Kh bqiVdtfP13MFzmu5C9v6KMhiccXK3sFW8DRfSpDd7gqSrnQZqd5UpDYT37Sv txHCpb/Pyde4gYWAsql9KxX5xKn2fUiph82vj/ypl04Am4CEN+qnJtBzffQ0 aqILCk09+p9sjAUBugab51dHER07M/3vFwNw95tqHs+l9//rvVjz3/diJr8v H0vnHkAu7mso22NGoVRxZpRPwRN+faJkxXwbQIKHNzlt2DIKsJN1tV68C8gs +ghVMA+hPo2VW29tG4FlXhe529oOwBDPXMBc1Zhju9ZtfFyIgI8bXNxO1VTD bNBAMVWnMMc9+ITE3gYCPM6e/Hn/2hfYvk8rmdiRnbNmac2SxgQBlE7xo/af UiD/73urE3/fW+n+fW+lUxpy0rkpPufZyOWBJnL8BY+scBaZ5zlnH1+JeZ+Y M8UU4nYCf6/RT2U+ReoiAQWpyvI1KTlKsqpNduT4O+altlOar2Ey6xDGE8L6 5fsxnt9CzWl47qn7jPGE/m5nGp4rWZUGMJ7RfKUYT9As56ThGcLVnIvx/Pd7 pca/75WGD/yRIPGE4xEOoxjP9edrqBjPupsF+SSesJ65yw7j+bVcYCPGU28Q 0p7tHIKNPyooWxlGgMehbk+EtQPQifvj+wKS54218X35sYVJC9+Xq7WnvpD3 Bdh/C9/G92Xjt4e2+L64JVH2kfcFZtfW1+H7ctxhgnZfKkNVXpP3hfR1Z9jw feEa69HA9yXJ0DWMvC+QeMdeAt+Xn/ce0p0k78uJHJ0P5H2BZc5Oe3xfvs7N rsL3JW538hfyvoAkIyrD94VLKd0a35d/vyca+vueSLzc0C6YOgZXdmpmycv0 wexlase7TZ5gFenWoaA2DsJ0efo/g3rB0EfmbDrFDa6oZjGT9wVC5I4b4/uS ZRFqgu+LWNMOzM/wUiv7Fubn7Wk8NH5e69WA+Rk+9O40w/zM65SljvnZsUcP 8zMwx+09hfm5jb2Bxs+//N5ifoaBSIHHmJ/Zavh+Y35u9GvsIvkZCtSpo5if e5g+12N+DtWSNiL5GTycA6iYn4XcLNQxPxebhWB+Bn45aRo/d2gPlmF+/r/e ++zU355P8jOIFR0/h/n5qFhlJObnJnt5zM+gdbVeF/Pz1NKTLZifexRW/9BV psJyImfuUZKfZ6/Lz9GR/NzQPEtsyKSCVfQxkxskP7ddmdLF/KzG4fymipsg eev55QGSn2VuvS5cT/Jzzg0OZzk5AhRXR0aJBFWC5yvXfV0kPwsFlGFdAUWt mlSsK9hWq9F0xQ+tBawr4N2Bs/5YV1xYz03TFSs8bhwndQUIOyY8x7pi5Xai FeuKsYRHZqSugIFXZ3OxrrA4LEDTFQFIr4bUFTAnVB2JdcX7TgGarpCkrIsn dQVsMH1wD+sKPnbpUawr+N3af5G6AqypeWFYV/BpxqzAuuLH33c9nH/f9az7 +65HKCnzMKkr4JPYMGBdoa3RV4p1xToNua+kroDzuXWWTaSuYLMdkxIndYXI G8414+dIPsp8YP+E1BXtlY4qT0ld8fnLySePjAn4lvbtYF98GXgmSttqkLqi 7AXLFqtgAiZqmFdc+VIEFqmL2YIJQSDwaEn1+kcChtQMBZ+qFYLPB7ZgjYBg KNadzTxPe090iTFmqRr6Aj7rXQ94AyePuGGdDGdv/lTAOvnpo/s0nXxIPw7r ZMhynPPCOtnbxpymkyX23sQ6Gb7d2W6JdbLMM/4VWCcrWJRjnQwt/SG2WCcf el1J08kcsYx8pE6Gs4maylgni7e8pOnkGJnxcVIngwGTYzrWyVxa6cFYJ48+ vyNL6mTocRF1wTrZfjTdDuvkf7/rkf/7rud4/3QnqZPBelPyNkZSJ3/TnxHB Onn1k41+FrEE3Ngj8cKe1Mkc2tOxkqROzthoMe+cSUBurjvbivR8OFtuF+VL 6uQxbvM9POUEnLKQcJfbmAsCNbGhqxWC4V12c/mJTgIyKAMW9GszIZDa9i5T KAzWusxRV5D40EUe7GK1jYVX5dxuKisiIFy2AftiCIh9vx37Yvs9dTRfrJe9 G/tf6M3bcQ/7XwPhyzT/q8q7Nob0uWBYdOgO9rn85pVD2Od2Za6dJP0sFGq2 XMF+lgguaMR+Nn8sHftWSC6UOo59K+c5Nppv5QjXwP4UersX5LA/nRNgM8L+ VP9S1lbSb8LrN6ofsN9c57RI85v/fr9z5O/7Hf3fy3tJXwlGoZ1ImPSVBu8F tmBfST/CVuFPzlOg7BE2+DQFWjdf23qX9I9LCnQSHBQCzmTGr1FhSobmF3cq LUifeMU3QCeIIPFcdfQ5BcWD4uEnxm6kH5S+cnPyLrnPxtH8UVBJgmndPRmb nkfAWV0z8ax3BNxtuKuj8bgQOnu/3JihjwR1e4VB/B7nJMcrycKhi5Ls+aYb U2xcgO2fPgPYnvIU+hGhJvnlb5/hbz8BCEXpnA0X70r2/+0n9P7TN4Bblol9 +ef1/qtvcO6f/gCgxnXzvdcMJJn/9gc8/ukDgOi3w1PXix5K3vvbB9D8x++D TdnjlsQDJpJ0m//x+zf+vtOx/9c7nRwrmn+HlxN/RPY0uUjy/PXvX+04sE8H 1vPtF8Tut0myqNvSfPrOB+XLpB+Hx/mRVlfZd8L+3Rqp2I8HWG0KUCbz59jL EBV3t1tAaW7u0SV995+OoiHOX6T+8D89b3DCF8KMH9iy+0bANP/ukJFaAo5M 3L8m//0zvByrT9j0LQwaeV4Vvl4mfYf2mKhztzPEFQu0bVnvCj8I5c4J0tev bldPcBQIhPMJsoPyrq7w6CS/0zDpo9d2dSnyd4bAUK1sToy6G9Dxrd/RRI7f O25+lXEwBN7IzvmO+7vD+f2h1a7kPHcm5qoSpwPB3Hoq+tAuT6gcmWn1WiLQ 0AhxIYLeG4L9uqfKJbxAsKPy6GVyP9YR747LBdgBt0uV8MGQ/+6H8P6rH5K2 JSaBiUqgHXyyqyPXJsPay/b0pjN+cD+pOPrcNDl+nWVPVlMMzJudZrh4NhCi dBeeaP0k9/n20u8JsWgQtNZCJXTB8Mo9TzljgUDhq4sGAx+8gcHIbwk7joTB gabMNSm/SB8d/b7yaqA7eH8eZFUtjoC9OW6VluR5lXbJa2OevK1ffvs0rzt8 15rwPU+uaxl/uFDbNg58czeU1wm5wyafjelaYwSKPR6x0UskFaZatZbznNzJ fS5Hhw4QiELwUOip6eAh6X+nUs4DytIzv+j0EohegkdkguMTWLVboYvSntAT 5fm9nhxXM6JWrf2eAVZ3qfUiB73goo6J/LpB0r8XvlmzEJ4OV+/IpAU8+O9+ QvvffsKTv/2EbYxnDtAlEmgg9UjOmd4CsLkWwrfY5Qvx1pv93iMCEX9kp0zs EMTk3kpa0eMPW0kbltZAoM03LZJNDD/DqcHiw5qaQfDwzJps8T4CpSba/95J lwFJWu80bQ1DYGt9hkrpKIF67HJ2GbOlwMC6TYf39ocD4/dyQ8pXArWy7uAe ssyE9bskYk9uiATv+6yzvTMEcvTNuZJB1nfB5fGBL3u8oF7tKbN0FzluzX5x nWAm/I7mdH3V7gmeVKc7FgUEOua07a6cPFlHTttXq0V4Qmjfs/g9MQTiFp9f YrcqhAvtKQ/bPT3hYZhM8aYgct2oD/xmPMWgb89rWZPrCUwPVjt1eROoTZo7 QvVTMQydrTYfOeYFHQOPKnv8CBSov4LLSb8YhCQ2HT+4wRt2/O0bfP/bN/jz t29AR9UvecFHIGnjW8IXH9eADRPrg4ekHjsRmvWli/Sbxn7KDwe9KiFnoc1o TbQvKN93jIi2IlDEBvora8dK4f+x9eZxNX3f/3goSYOipNBAoTIkpDQsRQOh QSmhUkKiJNKoEs3DbZ5HjYg0aXRKI83zoHme7j1pQIjvOdd59/Lz+f27Hvex zzlr7/1cz+fad+1V4BTfdCUsBEQ/nQ8VTEKRH7mhMr7Ie5jxo7kyLBIOv1PU +s5WoEj57TI72ffFYLZYsoH/QhQk3luKYixEkXVtJotBW0tAvFurVFA0FlTu X8hsbKEgdaJdpokbm6B3afeVU8+iwOvOmaKXoyjCyVwW8gzjpe0jnLo7DwTD kBN9wfUX2DielcjGve/h7l2Dy8cUgiBa/+SNqOsoUr9kW7nWoxpSrjocO6kR CPruoSNVQpif1+0sZsL4Q8MO5cmjDgEwvMDbWvubgrxKiP786lUDrEuWQUpH /OHj2v0Z6TMUZMhUYb/1rUYQ2S/KURjrD3J28R3OKAWxaiNTFjUb4eSI1sF3 iD9kEXmD7H/yBsWva62kfpORjx/SUjPl28Gcke9dOsY/z6wruOWB6XfNq84K wXKt0KiyVUJ81h8kFUc7DpVQkGfbi+R6nzfB77okizrGQOij33i+WBBFFAtj HWak6kB2NG+gvDUIlPu0wlyweRGvXO1RMlkJyxV3B9UvhoLx/ddld0jY/oqQ chSsKYd5pp5vwVcjQMTcQKDmLgVRiktEGZ+3QO2jIZkz7yOAz3zsVQOeN1i1 YSsTpoNEBF9csiiJhsYs9sJlbJ3QecN3bq06+H3GvD7DMBJo6sJIXA4UhGLu MIzot8C2k4fsvnWEQXz1i9uKi2REM6ntSoRlO4RqFSG37EKA/bsZFMdgfmhH Z2IOdIKnLj2/sGMQXD4QUJhkT0aOpJwLVGzrBJ1sLQrX9wCw5n9lfNiTjHwS b6+RC+4EPr7KkaYv/pBP5A0M/7n35le3StwRvWlkKSJe7UTgABSvWeN1dxsJ 7p78uqVhzwxSnXbfMMGwD2rH35DlKnwhdrU2TzEvGWnrsNiw6NgN9po1q0LI vmCyakHM5iMFaeYvf657rQnEx3ujjZz9wUadgXHTMRTR2ngCLequgVLJeesH 9EGwplkoVnGBggzQhEQ8KmkAq4cjxoajz8HErCv5jSQZuebTl/dlqgvcLusE pagmQ3Etp/VyyzTCIR/IEu3SDzkqixy/NBNAjMgbkIm8QQuRN2gWnFZLkxlB tjA55L+pmoCB7NnEcjESpNZ2lctojyG3bGLtaCfGoJmjjJw/5AVbOSbbL3hN IExLl8a03UaAbvVgznKnOwyM+77a3tqJRHfrvaT7NAP0NbOPt5tUwyoaGpoM tY7/kwcYHOkR+sbwFjFbY5Ya1ItCtq/qEd7z/nCPyd7ayI4CKRPOifq0LcCT Qsl+0pUB6oROVyJ0eguh08XDE1APTMferXVVYPoyBUs3EqcakknA8ViLded4 P1h/sNqNFE0Dc/mJ3ZGHveFSz5Sh+PdesA9Yx3dQYQZkLkq5sWxxg3cDpMMa b1D4Jm/PMihWChGWGl3aGXHgUW9ImcigABrXKSf7qwlWF8wdiJmNA5rHb+4y ryGD1EbzywfI3dCs8uSBsVEc9BE6epzQ0eOEjva9EMnmdm4KGL8zbbISHwKm lr1p/AwkWDzIfMpq/RQUCDY+8Q4dgrnsm1vyTHzA8s68lD6ml+knTtamYrhk UbKDkxsNAW9DsU81vihM9Qm+m/pdDqtWh1THhoWC7biPyO45CtDr5CSclGyE WKSOlT0rFG5eXpN3eisF9DiONmc8a4Oz0qGyRkdCIY7rF43gLjLUibCYTOh1 g7jV1mus4iHwfubjqZxDM7Am8HVSs3gfXNh7ilmgMwg4z8bUt1+dhiyTowfM vAdAabL253epQEgh9LIyoZcFCb1cnbWuZpU3GazKrB12+HQCksvYvf6QPyie +WBx9zEZeLcFm0kVdsJEu57j/U8keBibviEkjQwBbnzWp5c7oDfERp3ThQQ3 tC+cKsN4vicH+/tcLA7ut1MztPvtD7FxURsON6PgtpWe/0ZCAeg7icV/sAqA qFotiSeBmD7qtVm9Or4cytz2nzSuDIC2+a+WMlIocNUzb1r9oQbOR5WarB8K gEvrM5zPNVPA/VCIzR6RJrBguVHkXxUAlnsEGZmvU2CI80uh9WILbKndqO5u HwDPNna1G9NRYP9CIE8/Xztovo0RT1sfsKJz+f7Rubmd/iMGUxQInRQ/JW7b CBu/svfk0wZCsgbCtnGIAlI1Mqj020Z4v0FOqrE4EEa5WSuzUQpoiugJH1Br hEdbWF8IegSBMX+CZgI7Cpt2nvdk0amHV/M2Z0PvBsPO5fyvpFMo1O2URDTf fgSRbz/4y26HQHGnVpnDNRSe96YMjaZUw7uHq69nYOuHhashwBTTsxksdbSb MJ4W0+h11+eXL8gHMw9foKBweZDDLFwjA+Ibl5JH2/yAw9AwJ68NhZ9pt4MT kvPBQ2b9kbdXSEB+qawcie2XPT9EE854lkLfA+sF33oS2NbnLRQ9QSHOZXwt F20lzK2tfvJYwh9k23bUq2qi8Omt2uLzpQ+QNl1LjojAcBWTrVy7UYh8dCBe ZW8drFefDlT/6r+iZ+n+0bMD2s8GWbD5nVf6rbMuqRy+Z7K2W6QGgcjEvRuj 3igAr8RSxqEK2DWg85RBIATan5x8P+OH6Zo7hwM7h8uBLUVUwfpDKEza6/9M iUbh1qtLCaouZXD0+q1jjbHhkL762FmHXBS2mP1yufa+BGT3uQ0KeUSC8Whh /1Qr9txHI4fXyObDxMV5vd1Xo+Ajx+VYXNcMdt90xfVscYtuR6KdN8R8X8/4 GdMdFLftjhfN4yDxpPiRbSd9QLU+52zwPArbJUeFQeAFPNshwfzknC9cjYxL DhpHQesik729bhZEVXr0nvH3g8xa1vMSHSh8XG+i83VvPpy9YFWsju2Lzw3J pb/LMP8Uylcdj30Hb2h7TBwu+MOD7fkajzJQqGiLyA9ILIUki17P5yf+07OB /+hZzSsKhzuHUGiIelgUNZANJzVP0om0BcPTG/FWu/tQWLdGeNfnh7mQz/k9 jb0nFLTaVat+YXo/dlpEXpjtLQjH+W5aLxgBsVbcLgE92Lw7+oc9f5kL7kL1 +zyyosBwUTqGswuFaC0bhqG0t5DEwFw3Ih8LFvLbQA7TmwWyVS8QCzWQq6Pb leTlBR2sDCy7MfuZrBn9Oc+7UGBpz5ep4A0btw4GhmJ+3lOykTljlzv8nlz3 alrFB44xByb9xnSfmdpX1UaOUKD3Z+ILSveFjHmK9cASCleO5M/fYEkAjRH1 jSBOgmTX4BauRRQSm9RH18+ngu9lZMlM0R/8b4zyc2J6/EZc7bVSr9dgM05Z 3+X5n25d1bsl+G/d6qgzbJ6H6VAx4/GbVzBdxruZ9qOPSgjIsvx8rIG9zwy9 zNNN2P63uDc7oRoZBiwBmrVW2HooiRTeTj8fDjci2cTyT0SC5cN9jGe+oXCs cYz7i1wcBG3Wcgw+FgN9XHQ5tp+xdVjPprGjKA2YbPQ6p9Ti4LBABMe2D8PI qcOTd+M3T8Iix6WP3/e/hBmLprM/W3uRt581vaZOzYD0Rqv9+7/Gg276fH/Z +RakzrmsyB6Lq3uqcv2rxJ7Bl+Tyj/w1/ciaZb6AH6XTkDwtbh2QGAUcub9p n4kNIozLq8Z7lqZgg/ivk/2nQsGq8sQ0FmeRXZYaynicbb26ZQyPs3bJErRY nEXMt88L43F2YPPVbXicDe8y0cTiLLJsPrgTj7PP2RXs8ThrQdz/EEbc//CI uP/hDGGPJ+wOhF299WVUSccwsv7g1P4E7kmY99DT7/xpDyJL97edcP6EHKOr 25M5MgP700s5vn6zBS7GzScY9D7BKQmrraEYD9F6deJi++fX0MDlPoD5AURK XlD9ABzsAbgfFixp1DC/Qca5Uk/cb8XQT/XbQQmDGsw/cHh+3h/3jys3ry3u n4kYCXrMP1CYGjKK+yeXe04J908j8X/yGOL/5KrE/8m9zZ+6Jdq3wLuiuDFn Wwq0/Njynt7ZFWyIexuMiHsbJIl7G6IJ+8V/7Z/opbHvBd3fyvz493Jmmx7E v3cVZ2Ym5h9gaHXejvsn16HcAfdPUwgdzhvB4Xt1FM4bOxSYr+O8sShydQrG GyErfAeVNz7KX6byxtlv62ww3ggb9gIjzhtXh7BsxnnjW565YwdJEyAbdCkv yGEEHCmn1RO1okDLMdOY48QU2Bp9zuY7OQT31r5pPN8fDv2ix955qY/BkJL+ I87pMeD+WfRc1iocotfZHLvGNgWPDrtvnPMaAnK9XMrdEyGgvbaSJ89wBMJ6 KbKMqRPAxpRU6nYhBC4RfA/+uUfuRIzKdz6FKTinnBQgfGIIojn9C2kdA2Ez W6sgaywFZm8l2q/ybwZhT8fiISkPMGGl4gzCckPqYCmGM6IJf3DGpmcvJ8Y3 kDx1hvM431BM99HC+YZYx8sdaopTCPfr653D8kNgx6dyVF/Mc+UeBh/iHoYR 4h6GAsIeQtgHCHsVcT9DE3E/wwfifoYywt71z70Nx3yu4vwT+Rkxuwnnn+e4 5an889DZLDLGP5G5eFdFnH+aRddS+WcUcd9CBXHfAgtx34KW8hE3kYEZJHJQ Uzo44BPEbCyUjTB3A45StJtSO43U9RvK/37dD2Xrn3LsmXkCYeqe1yoOTyL9 eYq39HKHoYf85k7rSWcQ7eg/jPkT2SV7iQv350SSdyPuz/1dZZHttmTENfUs z8PhTvBfvt91fd1jCDL03bLj2zSSxuY6e8qoD36JWZ19olcALYks12wbR5E3 GYrHryuNw4S9e9eeL1kgGfuUq+jEICJeJyL4ZmAKuEbMl7jXvYJn8sw+V5W7 EIn2K+QafTKwVGWRLkckgMr5s4nkPR3INc7vvt8aybD90ZNN1sdjgOfVdqZ2 2nZkX5OdiRYDBZzubRkx6w77P/cnFBL3J5TpeF5w5GxHDvwUvaVMT4HGa0t7 8+dIkBBhFCZ5pgP5LhkmxVtHhtyEDyM8dV5w7t5uvtKHXcjiS+XgKV0y+CQf UJp/5AqGBF5F/YNXNG5+jnd0BxHB6ejEhKEpWF7a9aLN1Q72E//njyD+z29B /J+fWTTNTMR6BnFP2aPVKNEL5dI8aX7at0Fp6T3uT3BLr0Bxf55/pU/1J109 He5P+L5OnepPCKd04v5sD5rF/Qlyh8YFcH9+1Nah+jPp+QNfzJ9Qd56V6s+d 5QlUf+baLCVh/gQm02SqP3u/RHHg/owIoGfB/AlCofxUf5rwwRjuz3/vT3hI 3J+gbGl8CfMnGH1SMcH92R31QBT3p1L0YDTmT8gdeHIM9+c2RhUK7k+mRdW9 mD9hB0dSAO5PiUsN6rg/ff+5x0aCwL0l6cYgzJ9gnTkagvszRenDB9yf08S9 CmL/3KswS9hFCLsdYX9G1DVsJeoaRIm6hicMXOPYvoDB+ixOfF/cZkniwfdF wGdBP2wfgX0P61Z8HyGla07i++ihSHs8Nl+w+na+TwM2X0M9wz34fL2stffG 9gW0vHpzHd8X7Ye4G/B9Ud+i/PVt4AwM/xps18jrgdn9P66Hb4sHFmsmjtKI SajSiz29tHcYHnEV3KVtjoAleulSppgJoFvLLGNpNgKfyVkRxa6h8HE5RnuU dgJUueWZzXaMgpDxq8raqCDoP6Ajsc1kBNi+X966+AzDT8mW02/3k0DCxqwP 0+kwfOpKL67Ts8Nz3uE6fQ3rzj3FvGSoWXNlZMGxGw6pZzDheQk54r4FX+K+ hWTivoUThN2VsL8g7E/vbzbLd6SAYk7h1rM6LWDjM3VN9DQJ3vpJtbC1UmCz 24+Lr3ibIFbO+ohssj9oX73HXCKKws3WyyzL7rXwfq6fiRvD2/3KAgdPuKKw S1NHjKWzAiw3zG02HgiEV2rVbx5g+q5YTYxpWbcAciPYmEnxIcCs7Y7n5yFG 6PGIR58n6D4SpubnI7/SrRe4i+1zmZf73fJaIBW53SR93/9/5yNI6meNADnu cyvnIzrEPQmZxD0JQ//ck2BG3JNwgLgnwdrusRWGk1DRrnIex8n3Nd9tcJz8 956EEOKehP/dh7Djn/sQnuZs3M3WTwZ+epYeT7Qd1IfNrtGRvaDNs+/l0SwK 3FBwH9Jc1wxx9Yg/s4sPbI/fN/VuDwUOdtJKc+m1QcOpOWPOHyQI2yWObPCf ROzmxFVcZIbhR14V034LD6gg4ksrEV8qifhiLbvboOveDPIlz6M6XqUXJG7X yt7Y7Qosb2VbVKUpyO4mCSWTuVbQk0mG6NKnECJnUomNDwxbkuTw8WtOO3Dg 4//vPpP9xP6yJvZX2aPFW9j4cHTKNwYff6eAkxI+fvGe2R5sfPi6DBvw8bml cxXw8TtvMqbqskwiEyZdRc1mw6AW+7iJRqoUfO9NCDz4PAPal36km+d2g2Tx 8TRD+1wYSh4UwuIyPLShr8fjct7y1HE8Lod5bS/jezwN3lwm/FPaA/C5pS/d iIT5mc4ZzyMh6WQDah5Jw3J1Dp5HOrQ2BR8fgRj21/j4EQK3qeN/FN2N569g YfIBNX91NXqImr+6086Bvyc8eV5Dfc/aje7U9xyMv1KIPReJOvNgP/5ccym7 RPy5Io0BcblqKPLMfazOe/gDstVhE3OG7jPQEvZSHi5FkWt2RRPF3cXIjt/c 6hH9z0D0pppt8rNupCWnJOXmJjIyFumgmGMSD5wmavVBJ1Dkdb3NBV2hj0iK SfsHiR2vQfutYAp/F4pEWX1GnA5mIfmHjB6fL3kNRjftHwQ3o4hP6BcTI/UC +MKyPT0F2y87l6bPqOagyHWJPS0Xt5aC06MkyV4Lf/i0n+lZ6R5s3o0Vexiw daU7+4WTC1tXNAJqtTLaY+AYpH0fz/vZa4t+xfN+L8ReH3gdNQHG3id3y90b gVPDppYvznlDLk+OdAOmsxQMItrLhi3BFzkf8vrdM4iiK3DNeo2CkYjoBiH+ UoQl133W1CYRlMhcZ9N+YPrufe/xs7l+SJnDHP3Pc9GAylyXruxHofe8RrNf TTYc+HjgSB1fAljQ9hSx96Ig+PpI9p7kHIg3b16M6UqAyqUK+ncBM6Dh2mVR 4dwDLPfaK9fUZUBB2msV0yconDzMb1cfWgFMwRvX5xQ+g+65X6TeUBTqVVgO LSFlcO/gzfc/XJ8BK02Bo5dkH3zdV3f5w74ZWEZXRT1flwik8dVVft9RJDH/ 5bYD3KFwcjlzz6fT0ZBFypJf05lRdOXL0FUE++7RyfYPq2kSQcq/TP7+zVdF E0kZj2gx/af9M7hzFTkWDKYVlk9mvyzivuZ36CqmF9+bWEk1joZDxj/17xuJ +vc33vMbT3PlFy1vXa3Uidn9hbJ+NB2xgSKL8ZOO60uLFt1RWwpmN1lreG3b u7twOiLi28C66iJJY3fD75i9w1tK9ceCIXzM4fwqumYUODaSv0htnwAepBDd lxMLeky8JkKVw3DweflxMcFJOO3Jm1RYGQGf93bHGLAOQ51ds/mmN5Nwjr8s jT01BHxuvW5YppuAM3Pk2oNY3AnhrHBcM+QHXeYCX6xvFSKqpt4HX31E4fi6 cf2CvmdgQNRxRxN13I5EHbfHP/Xdjwh7vwzjJZfFXGQ4iXxMrweFGt3S+fLO cOBMLh8aa21EwroNaNb1UiBWYjX/TeVwwHvKxAn3r/iNnfAbSxBfTvav90iC uc0EfxIKIgLZYucLbGD01p96bSuiXnuOqNcWIeq4bxD2L4T9fFKu4c+cFsTo brRfpQUFar6sd1D6cA28VLadovUbR4q+SovNpIwCuGosNS/cBHLWgwnDsfdw O13qV08ApuNdBuR327+B489sFzH/gLa/L9U/OTx8Brh/VIn66A6iPtqCqI+2 /qdu+i5hzw5aq4f5BypGRqj+2VPvuYD757SS6QjmH3jYs4vqn1zH5h24f6j5 9pON0v/m2+cm/vC3SYK/2RD8bWu4/75vDG/Ba48RNQ8/nqwhjufhNVn1vT+O NEKvqZW4fA8FtjGZ8crv8gcnQucm/KNzpwSStjG9KQTWzfdOmjegcPs+14b5 x67U9zEQb5P+d77oX8e8x+YLVHK/juPzdeZ7nQx1vmT/1DtLEfXO5US9szBR By1C2KsIu+rChWfYfMEeh91P8fkSiFSKx+er5TPLY2y+IGjXqYVpbL7Waz07 0oLNl1BOhFbmUQrQZ9zjGyW3gr1h3fUzvQmA3vCUfb+ZDFaPZdovBHUjMSr+ S1eex8M7bgZ7fYyfNB2hn7UyL0cusjyR5BTKAP76ymp2h0lYNHn5ZOYCppsq W9KVJv3Bldu4ca3bENxWZDlzdtMULNLuSrAsiYJmkZTO2zYjSADf5LZXIROI F0NXVlKPN1QzrN67WW8AeZehkH7FfhpROG2RsO9ROFh7HSnRCZ1E2MWLSgRF hwENcZB86BgDHwMVmllSUeSCY9LP2U8lkP612Ofe4QyYnVU6ziMxhYQ1SyR2 aA9Bg9At3tN6jyF/f1zRxdJxpLpf/tP5u6OgZ7M6oO+aE1wi6p07iHrnnUS9 sz5hryDs+/5nJ+qgy4g66HaiDlqLsDcT9irCzqsk92HLFIrk+cp99nfLhO3i L08oRz2BXiPTzmsLZGRCXDRnybkdGLeHf4UPTiBmbED5wYMihyMj6E5U1IH9 9b7HCetdoNzW+JvNIgWpntIR8T3QCPezX86pyjtAw/Cc3U8JCvL6Vot5NX0b pGmzJZ/Yex+mibrm/URdsxBR1zxA2GUIOxdhf57i8h0bH9r8BLbi4wv+fLOA j6+THUbCxgeV3/xLVdj48tVPMvDxXYn6ZV2iftmEqF/2JOzKhN2SsG+6tLcz +zsKVYE37QZ0vcFWg4c+60ccWB4gXUzKxtbV7xaDZcMSeN2MijZaJoOf50mh QNIM3N++wGpU1QOl2ws7c37FgsVtibZTRmRgCOF5eWNfF2SZnVuIRpOg1s7L bHkfGYTrTij6H+2G4qSNsa1MkfBrYrgBm3coiZyswOe92fNdLD7vF+tbVbF1 Aszfl33wdSIT6i+Mr5MrrOX12HxBpkuOvx82X82Z4sr4fB0uMJJn0PuEXHaM o+bT/O/+yafJxHSMY7iHiOXKUXEvNrmZinskQnc7Erq7mNDdLx78cMfwBAEf MhVPIurDtuF4kkPUwy4T9bCsRD2sMWFf1f3/tV/O1HFKtG9BhvMrx/F8mqC9 fj6eT5PdY7kZwx8kutGNij+dB/wZcfxhJHDejMD5zwTOT2ofcmRGBxGeSDrR UKcpsBG23M9fcA0UDpzZvO3DMNAil6n51ZpaY2p+9VPQpytzDeOwmybJd0Fj FD4ObGxyYE6FTYQuHiZw1YrAVRepy+bMa8jIXZr9hvj5YIieDfV8EAVnfBzk 7CMGP3wcaVoT6jjOD18acZyYQpR7u9/i+bRrTRX1eD5tFb+r5EHSBDKgx1qA 599alr+r4vm3xh9Oi1h8R0KrVL/h8f3ghRYKHt9DJG6KX2ObQrICYAueZ1Nc +zoJz7M1sTsXeamPIZe3MTvhebltIh/S8LzcgU2JNzE+gIh0CMrhfIBO4tIz nA/Ib0r5wqcwhXhZDIfiebYnTQN5eJ4thzgfv0mcj8sR5+MveiS25RmOIJHu jHJ4Hi/qSuM7PI8Xo8AdhfEKROhJrwXOK864uSTjvGI3cR69QJxHtxHn0W+I 9WNDrJ8CYv3sXit6wmr9FDITTe+Dn5M+7yvfgJ+TfvAt2oPxUuTQvoQDOC+N OX3zNs5Lf5v/qetMI+o6FYi6zhFyotndNyjiFmmd3eFbCva3Nl3nHSIBkpad Hk1BEX17+rKYcxnA+ewV/+F4L+gn6jEniXpMYaIec/frgCEMxyD5Kb8jjmNW SX6/cRyLEGNexnAMOvt4WeUxHEOW2H1xHPudkMaKPRdCh5xUh7DnLuyIFcOf u1pp+Q32XJDbz/k8Cntuse8tQfy5vxV3GzUNoXCnR5rhJ3MOQofY2HVzBkJL 9m3lyYMoDGm8u1liVQuMvFkFrUJ+8EXPd1ptGOPJ+duV3b9nw5l7HvmlP0nQ /nzszZdPEyDQ+f5wncAI7Ll46uJUpx+I33Rm1JWYgS1neDmy9/RBkfGx0clJ X2jreeHq/WYGXrEqMEmp9QDFc3ygkUQC+VjStS9mmB94Sj4/fDgACwvoWJ4g CTxO3586oDoDn691K3M298LBw+sm0ixIEDh2p1SRjPHd2HBakZHXoNmeYbeh JQI0jzW5emP8f6v46+RL8j7Q8SX+w5NbMXCOdvrlLV8KoA3pD7PmmwFtRmlz aUMBfbHT6eYvFPEy9bTGz9dc1W5yWez0hm8pxiUymK6/H9HiZhF4Ttay7SxD Ub8XCL10erL5J4oEGbtqpe+NgiwGP7+j9d6gLsJihnxDEUuWsFptsUS4fdDv F+9nH9i/7uYrhkUUafq6tXOTYho8XPWIJiLYDzizvrk9+4wiXKYspurc6aCf d8b3/ggJtp6uGuZFUeSYz3Fb/Jzo5cOva/jPBQDdUP/2PjKKyGj61uqezIDs sTBZp41BYJbf2/cLs6878cA0bm0GqCZV0T6SxXi1Vu8jQ2wckwi1RXa+V3C7 5uc568Ew+LC5YzkBe+5959xsj97nYNlzcbmYKQpsQ4KyF+ZRhOElXejR98kg cvehcGh5LMSSY2Q+fUGRjFAToe6oODAT32t7ODAeNG2F1D1/oEiBna+z4NkY MJ37Fi8x6ANyQQ60OzG/BUzsuWfNYCBL+rw+e6bAB6S2i0m6Yc9Vc7hK4/8g Hd4Lvw9svuALpfG8lkeHUaSkZcOadxw5YHVI8HHWTj/IbQx0dWpBkV1lb72C LhSAy1zp3AVhEmTm3+QxqEARCevpTXaK76DhWg6D7TIJ2Cre3jpfiCIcs2bf VbB4x81dXNLPEQB8fK9EvuSiSHxbtjHnYAkszLPf2eoUCI4MJmd68/D51S3K iSmBZVJufO3pYHiS7HkxqgRFHvZxaz+WRmD9ztqsWtdQCJXaLdhYiyKr944w NdRjvBtaNb4rRkBIW16OdzeKLOzP0/129i1IM6m7FIRGQwHH6JWjA9h3ORbO 93zJBrFpU4ZnjnHAys4W1OOFInfWP/Rj5a8A/1vc5aM1MZAin6lni60TdiMR 6fLAVDjyPef3qkgSCO94HDyDrc9NxnkaNAy3ZB011PwvhpFg29RN03OfUMR7 quZmesdbkHqdVOSXRII0XrnLktj3brjnZbywuhTYT164dxYhQaxKSPRPH0y/ M+5u/bS3AiZu3LnMP08Ceuu93BduYfMyE1KrLV8NzWceG58/5w9b1VRTbdVR RG7UT1TvwEc4VcJw+EW/P0h3jYkpKKHIRVfxK77kj3Ch9z43x9sAcLB5nbPm LIpUeBQK2j76COHq5NLC0UBQCt9oEn8VRYa1i3yZxqshpVEn1OhRMMg2rGEZ dEYR4bsQ2LqvEn50fPALDQ4FhpxEpCgFRfJd1U7wWb6HI8HmYWtkImCzVl1H Vym2Dp8mvTod/Q4Sx7aYNkpEw/Z4e5+aw9g4i6ivGXcteLRY1b2rjoL0seCW 2Y8TiGVA8BrDYyMguFX2LZOFO/jVP4heNYkiYkUuzGLumfA0Xqh2XWAg9LFq VNljfl59x8DlY5ql7EmtXHaN9EBYxdOZxPwKRZIVBSI6R0thL43gRqfTgXBv +1zkzCUUobAXbTh/9QMYZO9Eo0cCwK/Xr/0FLYpsLN3Wn23QAAdWG0lzWAdA 6YbbwJ1PQcp6ePd972kCvi+yEjXbAqDuuQNN/lMKsvOBpWWfaAtQuvbcl8N4 vsMh8mCBBQU5xzfudOJVC8iTv1/jnfOHcuvMB8cdKQjslX/scLEF7vHX6DCp BEA5Y4fFtxcUhCk2/JT5kWbgSpLkoFmHfRebD7ffZ+y5bA90reUb4cVNhMVQ Ngho3u6bqjqJIrfeyisVsdWAwEOltZ/XhIDdF2GrDE8MN1iaTrjoVcCW1LTg SPUwiIqYXUzgQhH6zkc3+r/VwRRS7KT/OBxu25SfvBQ3imzSIvltCB4H1aYL bnatnqCpkW+8VIMiOwdTsqO2FcGG+bUqQTvDoeZMSInVMoosS8okhM45yC6f WT5lZRsOkUs2z+SwdfXks5StSs9H4KxJXatxOAwilJQemAVTkKDtUneuVzZD N8+V6wkDIbBFksa7boCMaF74KfJ+oB3Uz274+dMwGOhC49vnTpORgGbDpITC LlDKNM4fmg4Ew73mgXSTM8jDB8wLJJNPMH+M5DUTHQD+ejb++hUzyJOSkILM X58AqmPd1vn7g0We394zQzPIhq10kavcPgHHrnXMjh0kMFP2zGuXIiNhY/Pt 11d3w/wqBzmNxySIEHij87uKjPCg3TMh1zrgR1ia7q1EErQ9ZF84cR/zf8zB ca7YFohQPeCZrukPE79+qHZuRpE0O0UXZql6SDNe84vvdQDccH5TZYvN1xUh ZWd3bL6OyM7kOL0MgtKnqz65mg4gL9PFQgytpmFfDGen7k1vmGt2YTA1R5Ed WV/2utpUAde9iUcvWxPgnMvRQY7vKEJr+ePnlZsesjWaJpdqLZ+BxRcu8m5u ChI/nSzYEtEGPTYLfNOn4qGQYQ269GQGYREmaQV86YEtQ/0GvNUYLulp/DDh mEYcU6evv6MbhF+JwyEeayJhx64wTp9fk8jlXTG/x5OGIDNFYKN9WCh8kezW ZdWcRA6Jduh1ew3Dbq/bWeS4INhfuX26nnsSueaj/OFj2zBwHAzO3MMXANOM Ietn1ScRg2M/kZd+w7DRl8krYhMJmMr1TJ7KTCE6YxB9VnUIIt4ubo238oae 293bzJWnkeytS2/S3g6A8y9Ow3o5T0gaE0o69GwGaakY0hTw7gHU8Mp7uZ0e EJLlsa6Kh4L4y/gLrg1vA9aI0rOT5zzgrChlmf8chodRRq9u2XwElylFcYTR C/YNJ2hIvCcj8cJhAn2PO+Dy8/giJhdfyL7McqimiYzEfs8aD2hsB5LeJRo4 9QZYaGho1NyXV/rT8RL96TQj1hkGdk8iN1rzNBQrh2BMePubJKGXsDu2trvr /Biyl4788eLgGJyw2XntqW0ymHuH39hZPYwUX+hhKeCbhPMHPJesmBKgVHtw 44OdQ4gmiyVrrc4U5NEl5FspR8MVP4M2BelBhHbEqYU0PwUiHGpFH+ZCYfvc MYnuxQHELfplHzaz4Drn/VjnRSC8u0DHoqUwiGxS9k4RR6fAVrVZ/owQCQqW Q9NdDw4hJm0LNzU1piCf83rtJQdP0Lkf9PxR8zByse9avxXPJLw13jr5KvEp vKcXpXl1ZgwR3m7ETZkbA7WgLi/6d85gdiDzOkP6JMIReUirYcswbPbcMmO4 6AB2xU0So3sxPT5KOa93qhvyVS1d3qxyAJ9Cttti/R0Iib32E20GGVoXmnhT TnjBwCF735OTKDzgEj84dzpCNkk4IKKPJQsq6QvxdQ639LT24Os8cze341/r HNoMbL/h67yVWOenpLtx/IHIaO0XOP6wmwv8jT9Az0cOx/GH9uwf/KmskkjE 8Aecc3Vu4/jDwJ5PxR+BjT9w/AGv0eSbOP44HPtCxZ+KzVU+GP7A0umsHTj+ qKT/oOIPWzdDF4Y/8PXG7Qgcf4wUe6n4k1KtGYThD1xET87i+AMHTaj4o3Cm LRDDH5C0H8rA8SeMe5cnjj+Bq5gKMJwB7pr9jTjOOGPPxnFmakxSHMMZ4Nlp GhWK4Yz9RV5lHGcO7rAulr9PAXvbo3f5MZwpX8Vc+xLDmd/rrnk3bEZB77ZY RTSGM3mOoaJbMZzxWHTE4yD0Owkw4HEw86zo33EQvE5X2P8dB2NyJZOxOAhq lrp+eBwMzU5kw+Og/CHrKCwOwomNBnR4HLyX4EeNgzYMjh1YHARhK61GPA5y lftQ4yDHs6zjWByEZOvzAngcfFvPfBSPgz+O71+FxUFYP85qjsdB1ufSlngc jFXrG8biIDRdHr6Px0GOoHJqHFR52W6LxUFoU+q4isdBv+fNF/E4GCqXUYPF QcgOX5q+jcVBxi4XNTwO+lwPNgz+TAFvgyIXZQxX7RIcbK5jcbB7PW/EdgUU JN2Eab0Ya8BjfPaNGG0IHFH6vSDii0K9reGRAMYKqN0ldsNPMwwMhz0fNGDr xDPVPc+l9iP0d8+x6r4IhxKWPJy/gXFu4mGcv7HIPPubv8Hy9HZ5nL/ZE/zt YEAEzt+AJlVCB+dvNPuuUvmbxetynL/B6e1HL+D87aDAHSp/C/KRjsH4G1zY +aIc52+DH42o/K2oQmcrxt/g0LdT2Th/63jIQuVvwcJP0jD+Bv4Prblw/hZc ZkLlb1a9Uocx/gZM8g9P4vxtlaQvF87fIgqV32P8DQ6dtz1qg/G3ovTKjzh/ W7/cYZ9wFRsnqrTly1g12ERfvHwN528+22wWnFEwC8oY5t5bCRmGV+2SMf42 f0zy1/tUFGinz28cu/AeuHgDooYx/ka7xnGfby0KAqet2chvCqGnwcztq3w0 bL3c+JnpAwrP6VP3DKQXwb2jinGc56NB5WBCfNoVCjxUvlEjI9IKhqwjAgU9 PjD9UhTXHdAwJ2uE646FD6l/6w5gR2X0cd3hS+iORSZNXHfAaY7ATyRMd9zW GKLqDr0dmrjuAO/CvWgxpjv6cotccN2xJuYLrjtgw7GhO7jukHW7RdUdJRul eTHdAQzn7/XYYrrDYvzeelx33FaNMcV0B6jcdurDdccPU/H3uO5wrqDbh+kO 8Cq6KIPrjtNpvFTdEQNN+pjuADRRyTQL0x2G5uM5uO7QpHnYF12Cwuqnz+/x YrqDLVK+pQ7THca32rpGMb9xv0jMDKsuhAOrItYyKUWA+x2GHybY+jnMtb+g ftVboPMs73IOi4a0S6cdecZRiOtYsCoRzARa/yyvn4/jQKRDX3t1OQrtGbyR 6ezFUFEovSqDIQncNupeveHdBVyNXz6qKJFBQ/CS9gnVV9C0SwjXxdDIGMuJ 62LFXXeoupjyKArXvyA5sLvjJaZ/i4VTqfp3g4IQrn/BVsc6Hte/tR+/0vBh +pd57iWuf+HF2SYnXP9OyVivxvVvi4akO6Z/MbuRAK5/ua/ZeuP6d33IyRFM /wLqov+jBNO/kceBFte/tQvqvJj+hTWruDlx/VuWXiKN69/FWaEZTP/C1Le7 H8Mx/avcV86O61+JQNnNRtg4B5RZDe/zYt9jeqkc178Jz6s94rHnji0EGJzs fw7ieuSMIkz/rqOclVWeR+HOR7e5wtcp8GkbiWamLBbKtPcsl42ikJ1qI+Tl mAkP++Klsz3iAT0/v+352RnQ8ZQJr6/uBa71WwxiOePhgpiJ3q+nZNCxC2lO T+tEBGPqtzOk+cPTo68/cf5Ekat19avjMb/RGNPy+eR6w+7kXV2l31BkNN+n XBLzW5Jz6s5v1T7gXZdnyYzpQdl2VKFOIQ0OrZa7OXjJD75VsH9LxXQ0+1Rl 9ihXOsjdIm1lfkcCE7+Cc7sxva+/30pZFfMbXeVL0oHtASv1ekJEvR49Ua8n pRz63hL7vc5snuYmvlcgZuxYJO0eBh1XRoqy8bzE1VWrfg0/h5rgWC6DhEjo /cy5K2seRZ7eVUuKV0yBBgU9zVcqsTATPRhhM4ciNsd/Zr17kQIpQzdH8yzj 4fgllWNL2PuTqpxsLA0SkKcqlBqP2/Hg0EPnROM/iSjQ2YgclxkGfwaJiNPK PtBgCv32oygSx+CwYVw8G7pzSzRP9fpCyrEvp4bbUKSLx3Xng+h8UDKT3qlI 8YOMhQt11lXY7w2XftUVFIMUg16fcx4J6nnn3OqLUKT+UZ/K6yMlwDd3x36o yH+lzm7+nzo7SYmoTl1Mpzztffz73MkimG2tbxuyD8fipI7L8S4UGfwm0JzY +BZEM3gdE9Oi4A5tuNUHTNdPiH5OediWDROPJPfQMceBnd9+k1seKDId9zi9 X6sC7AIZTSOzYmHV2YjJmSUKErEqR2rEug5JjCSd53XLhyKpq+nvwlEEnSib VWIuB9EpaU7WMhJwnuDL9L+PIqqzqpySplVQ0X/82FUGfzAwtbcm6aDI9sEy 2gspH0CEa++1G87+K3VtCf/UtR3ekN5hG4Mi1rIHPny/Wwbc96eddjOEg+SW MRuVYhRpmhlR2d+JgOKdnofaXyLBoWZTh5QtZlcZ2XKsuBIGV7+9t9E9GooX b08rWk4ja/viOsXNB4Dl6UWjn78CYdljWudHJwXRH1CVyv3RCJCvHK/LFgCJ 2XFtNyMpyPlBg7nOxGYoTrl6zarcf6X+S5mo/5Ih6r8Eh7i1eLHvnXFzrso3 qILnn2ounJ8JgVO5At8ZTVFEfbxr1yHOamix/PIoSiccOseTbitSphCKZJrI RoVBWG06OqV+MQQyqhdq3fnICC193W1O227gW8jofMIZuFIP1ULUQx0m6qE8 LQ9ys+1GEf/d32z5hOrg25sNEu5mgbAG4/OsaZ9X+krHEn2l8XPh2Z6hlb7S TURfadxOc717pa+0AdFXGj+XvPu1taiM6CvNRvSVxu1q3M0rfaUFiL7SuJ0v sbHoLtFX+gTRVzpf5mpcdvvHlfqm68R5K/7Ym/cbV/pKLxN9pannoZ5NRaxE X2k2oq80bi/pbFnpK11L9JXGxynh7Cw6RvSVbiH6SuN+MPjWX3Sf6CutS/SV xu0D68ZX+kqvmv7TV5oO/17z2ZW+0leIvtK5q/h9il5PAU1y0+8i/0GImvia p3vzJWxl7qb98H0MmrTurBWTHAPmauHTjz4ng3xCywdP6RFQtq+nZyqbgALf VR8VrBNATEBIXe3eEAQyc9nE80/BORrDMLsv0WC0mVPl9t1BuPLu0JvGpikY nEm8ZmUfBseIuq07RN3WV6JuS5RzyEGGfQhadu1Mvn19Ck6IbpGiu+AFw+Oy D2LjhoFe2zPtocIkvNN/F+Zk5ApeNz4Geq0egzIDRV6GY+Mw5bbjdozJY/C/ w+ZA4zkJu19YL/kqDcNNlnXiP6QfwblLUXWrdclgTgmdNHToAo5ghu05g/bQ rcKhYqo+AwNzOzV+VfXC/ROaGtt3BcKNShUfW3EyhC48L7Vn7gYvjUjpk7Ux 8F2s4bpG0TQ072N78LO/H1xNQyJE9CNBhk9F+IXHFPjQ/RSL7B2EHk/fsnWs YWAZuXyUAZmEmpMeXovLQ2A5HZVA2hwMMXmPsh6+JkP2xuobZkMdcENxjfYZ Ow8w2Jd0+QXGwyUObbvO2tsEwYK7zdrBC2pKNUczJCkQYUWSf/StFe6OnZO7 eSYE3tOquWv7k+EKg9a5gLudMNO7y3F3SxBY9PWd3sZBBrRYK23gRTfE1aby RVoGgjVRb+VF1Fv1E/VWVbL7jzcqUmDB82b68TetoMortkWX1h+KcjJDL89j fG9GoUrqaCM4bY6qVeENgOKwk5VzHigUXb7u3Pu4AhgUxvumcwOhemgNl+Q4 Ba4P+/saBTTCDaGioIonAXB53P7F1UQK8Cc9CWQyaYZzeyM56OUD4DpR38RA 1DdlEvVNPD+d4JARisUHcTPFkmrYsLcw74x5KFgWZhsbmaJgtEHy4+zGath2 J+53UUoYfFE20kzBfr/Kw+rCoY/VMG0bdrDopf9KXQ8bUdcjT9T10GRMb9s0 iI0zortwkC4H1jL6dDp2Ra3U1/ws+FNfk0nU11zstAg/0YwiN6BfJuBiFniU bmDx6sqEzd/utN46SUaiJzPqO7y6oFLe+puJZwbs17i53unmJMLMnbdJ9uow /PhBo8j78zlEr29OLGcYQ2ZVhScfC43Dmse5w+YvksCUlkmwZWkA0XcTkvfn mYaSoQQp5h2BsOfZYwE37UFkLpBJPmh4CrzUdqNSpn5Ab923RklrCNEusqx3 lZwCCQ1osM/2gOKsDBdsXyBmHe778X2RUKqvh++LDTnU94e76yjU90et/7z/ yJEj+PvDFF1uA/7+Ggb61Pe3iQvA3x8ecztS31//PbcS/v5HCyEJe3+gf1A6 gb9/ELf0CP7+/UR9RAlRH5FD1Ef8dLfeg30XnGaiPY5/l9NzieP4d5nzD+3B vguGP0kC/l0l4p3f8O/qXc/ChH0XAGtBNf5dz7cUdOPflbVVKP78LIbjtX1u a+fTwAPRuF7OnwD2rM7heyVQOM/voR7wvgZYY75srLsRD6mKZfU7h8ngaUoJ pK1uBz/hp15v1sXB4qm0EUfDGeg+eDFv6FEvIPovS0nvoiCcqFNwIeoUKESd QrspHY+eyyT4SOp8kj43DKRtXHWST/+rO6AQdQc8RN3B/+5ZvS/w555VLuKe VbFz3+ylf6PIwCo7E7weYaT49Kz7sBc8/HH6p5A3GUnc+jv0q3cnfD0dYEa6 QIL7afckLjtOIe+6dp8MQQfh3rpYHTTeC0bLVV5h+xRJNS7cI4vt07mM+9r4 Pl3Vtgf3DyL8dq877h/9cn2qfywev/HWx3iX9GdTQ7pABPS7+zK0FuMhQi3U zeo8ivCRNpQwmVXD8lelhkqfTNBVk8X9iRS9k7yA+/POmjWbcH+qFs/n9PRN I70wJxJ0qB8SHgR3Lhi9Bk0NN13lySFEXSEoOrNhErY1qiVunXeDGPJvJeG5 ESRY6bJ4oegE7Lguarzo7wIO+ZnVGO4hBj06v+5guBc3tPcOjnvoZrlMruFx ZMtOB5mc06NwZmvwnTxRp5V6BEGiHmGAqEdgsnbmf5lPQfweG25lxHCyKPug YgeGk05vjb96e00jIrWSs+ynBsBgnbMAr6s9PHEOnHv5lIyM8JubT73uBIlW r4Mcdc6wFo+z6WMrvCKc4BWMuN0ILaL5py8kLR6YbftW+EY9wTfwOB53pGOF b1wm+Ab1f2uyLSt8g/UvvhHH0LTCN3YQfAP//fG2hhW+IUfwDSqfOdCwwjeM Cb5B5Q+LDf+/fCNuz398Y8PffOPGf3zjI8E3qPzkUscK32gm+MYF6zGxmiYy 5B1/MoHnV6tuXaXmV+t9EvD1A2HtOxF8/UTRG1HXz0L7Fjy/CgmH46n51ap1 i9T8anSIyKeu82PAzk2i5lcjPI2o+dVDIuomO6uHge+XMzOeX/1WMkrNr2bK Htn0YOcQxI5JUPOrFU2MhXh+1WDGu0NBehB+WW5rxvOr31WPIHh+lfaRvlT3 4gCkVmb34PlV39Hjbnh+dWKf4UYtjI9y30MS8fyqQYyNEp5fvRwql+N6cAjy ZFON8Pzq2vtMnXh+dYRJNOdR8zBYK9B14PnVjcU1C3h+lW5xO9urM2PwVBhl wPOrIWNB4Xh+Vb6myYYhfRI+tdtL4fnVX6u4aI0WHWDbmbvHR/eSYXDVVjE8 vzqT2eSK51fVnDkYfLymIW+zajO+Pt/zFR/G1+fxwbfd2PoEzvqAQXx9hh0d 34Kvz3tzF1/JVM3AvH5H5auZT/DgNMfsxfJooGVcp773yjSM152veOM/AKa7 6VNodSNgZ+VJcoLCFMYX6rr15YbgfSjXNqEdoTA3rXxfK3wSeL1MGgdEh8GM 6XO6umIQeObKfOe4MQn2zZUXPlsOQ0Zm1a8zov5Qcem6LIY/0LN4SQrHH+6p 0Ks4/pzz71sj7E2G17Uuljhe7T5rYoHj1f/+/89J/P8/ivj//7zd9Z/2YSh0 cynzCAuUg98ARd7sUCCw9zIPXX+AgtXTWfsM1SpEBHZMzbMEwSTRD8I84k8/ iGKiH4QC0Q9i++k//SBo1vzpB3FOO1hiOmIETg8PMYXZTADtawFtXo0gYNag 4i1Yj9qo4HjLXvoHb/9XR/CYqCO4SNQREP8rgHbP20f+/l/B41jOg6feTiHb uNc+HIvE/HB5lTSbtBfcfb3hDJk8jTjdIu2WOdYPDh8O5jR6e8ATGxMtDPfg XNw7YRz3os6ctcBxDypeVGD4Bl/RrN04vl2b+GmL45sk3Vi9of4kyGRK2bU7 DIO5zIn3Yq3+YJV6XgJ7LjyxYLyNP1fY9dBJ/LlaI5Ka2HPBvOfievy5+VGj efhzz40pcjlcJUNSvgNvhU4X9Lx7Gn+IyQPDeQ+trhoKDF7uVQvSawLBQV7j mDkPmC+/mt2ri8K8jiXbM+cPoM/ExiS+yQf0FNcJmitPg/Hq2ET8HMdD8bEp fo4TuY/++aFnM6CqdkUOP8fhNZKpwM9xVvk+WKzkoUBhAi0JP8cZZbt2DD/H wXE17tf8Sl9dLQI/BzSXtS9yYnzvVFfi3vV1EJTFnNct/gaK6mVFFZtmwOpO 60+Z5k8QWuHCd6jPDhyJvocyRN9DOaLvoRNhlybsxwm7G9EPcXX0n36IQUQ/ RHfC/pvokxhI2E/fGMTfB2HkyUnG34dpJy/1fWwPsOD6CHF0Rqn6iBbdT9VH 3geUXFfFTSM+tbRrXBkH4CJPHN+yfzrwigVUYPoC2awZx2KE6YtG2iubcX1B V8LOh30XkipXD7LYdwkp8W7Evyss9d3XTRQypGSymXBEtSNylpQQnx1BQNcu 8etr0QzcqljQd+fqQbYXXORXFIgEn9FlWtJ1FJFK+bVwT6IaebNmoSrKIQHW L5dWjd8nI0F6G+5NqXQiQ6vrjkP8W9i2Xed76/M+YNUu9VHWngSestNXUiQ7 wYN2p7LFAxThfdHW03CuCuF6cb5gCdt3j6yS3qgsosgp9c2bKIdTEQsZV8e4 3kA4PPfwWL8uiqABtzieYuvk7UUJNklsnQhXt93EdBbSGabI7ofpLNhM3o7r LMlCmGfOmED0S9Y/z7k0AiYWn++ZsjhCj63NOpaMCeBpOkPC7Q8cfnnj9uJ4 /+mcokm47Whc4Lh6GMozFtmb/XwhEcbNn8pMQZPEUCB+zug8zimAnzPKiZkl znWSMZ5elHasqh2pXTv8a2tQOoRWdobORlPAf2Py8QipZuTsd72nXuPp4HpI Q8ctfApmc+wCmVMHod+wd3SV7puVuoNpou5Agqg7YI/yfSE5h0LGtv5PiW9T YJflJx6Hjngoun+2tdGaDBy6gt3Ow51Id4ki7YHgUNgxa8ZIK0cB9sPhrmFI K6xT4eqQCMTi+K8BGet3ZGSXGl/2b68OxCaUT3GHQcQfnX54aKWv326irx8e 30sUuotOEX39PIm+fnhcpvncutLX7yDR1w+3Dyw1/Z++frjd6Urj/+nrRx3/ fENRK9HX7xHR14/6+2sNK339ThF9/fDHOj1oLNr7T18/Kq/gaV7p63eO6OuH 249vbVv5fz4b8X9v6nN1ulf6+h0g+vrhfigpG1zp65dP9PVjxfMttZMr+QpD Il+xHn8f8YmiVKKvnwXR169b9RvOS2H7+mEqL2VDzlJ5qdfj0VvkpXH4ubmA 03THKITtm7/rK5QGsZ5SUR6UEZDY82Lmt8gE3IzpqR7engjNHTxfUz8NgZ3r 2bXH2ybh9GxOlb10HARWvWk0jBgEMZRmw0DOFABfLBONVQS8KTrVyrp2EDxc Dflubp6Gg4P+Vf6ZwWAdZ3BRrL8DTiUn9uPnp+8NDYOTTnjB4fSzW8MWUFCL 1TStJT1Hkg/qeQTau0DB9asJ90Mn4aVcn7HZ4WHIpnmlVhrjBz/Hbu8Vf08G 04DzjJOPO+Az93nW5ce+sPbCn75+jERfvySir99vot/fJsIeTdgH/5zbIk55 /qL4uW0AcW6L+3lP3Orilqebjv59Ps6Gr6umryu81/Av3lvyamqFJwcTPBnP LxlIT6ys531/rWfSwYEiP4In1/7Fk/nQvpV17vPXOi8Z+o8/X/wrX+ck3bGy /sX+Wv9qSf/xapa/eLWodNPK+q8j1j+V3yo1rqx/x7/Wv9rOxhVefe0vXs0q 3LiyL04T+4I6fuF/+b2fBN/G9wtf93/7Zf9f+6XkRPMKD2f+i4dnuPy3j9T+ 3kcH2lb4efVf/HzAs3uFnzcQ/Bz3cyPz8P/ZR+wKg8am6jMI7+aI6eWqXri3 U1qZZ1cguC55c2DrEFmgj7jQgq1DiXVCvvg6xOdxoH56ZX/dJvbXptJdyeRT FJjVXfPd26sVQhKOa+s7x0EkUTcx5PKnbsKDqJsIIW3bEpNIAXPPJTFhrWZE vKvmE3teLABR12BA1DXUEXUN70zdfyS4TCEFqnwDS6ODoCSvv2VPfjhcWfo9 s9dzHOnT1q0qeD4KEQ85Pvv3BkGrYoxB1pcxRD5ThKdNeQye1ARbb1ztDI8q d/ptsJ5GRgcuafaZDED8TOHLtc/tqf4xeN+3gj8if+EPze/RFb9lEH6rJOoO com6AxOi7uDBXS5R9wwK8u6ygbc3TzO4zOkio4ecobXkXDz2XPB6M38Efy53 QACCP/cNUV8QR9QX0BP1BS1cLPzYOJAfpjaHj7M+uCYDH2ea4L0zgX94r8M/ vJek8of3DhB90ALov6XkfiZD8qTaLinrdiTe0LztwZc4sJO4bIn5B7h6u9fj /rnQdMsV98/OppBKC+5JpG487cxCxzCsqRS8JRr0CERE2x+N8pKRy/ZnIjoe d0Pvl6H5w/z2kKS46StLB4qok1ys917JBzq2LKNKUw8wPXLkEzYOpNcFiuHj sB//4YKP08+fbcZ/DoWc6o6TD2w+ws6HEn7vGL1gw/ITL2x8uHqUZIiP/22D /298/C9I6yg2Pohzjw0dxMYnD/UI4uPfMD/Gq9s0Df7o7FxqdD9y8UTJxPBn Epiuv+UaRZ5Asqu3ttttGIE7D0oeHuzDeKxdZsRd5wkk/XfA78MBIxApeKew P9b/j47mHFnBJX4Cl6j77k7bCp7s/wtP+HSaV+Jp/V/xdKDkv3j64S88YRX4 D0/s/8KTAc3G/9Mnl4pj9zv+T99banykH1zJ5+sQ+Xzq+6v3r/TzKiT6eeH7 lKZ0YiXPvzz1J8+P4zOfw1jRDqKfFw/Rz4sBHz8WXdnXV1fipgrOYyErdXk1 zmM5tyZReezI71slMh0j8NSUpPDm+ATcoW2QTTV8Bkdaoq4wtg0BS9VHijGm 73tOblDPuR0LBo/u7Td6NghdKb63+DOm4KcO3eyN1HBQydcLWMc7CGc/Uaaq 1k7DXr7yKRGmYCgtDXW9OTMD/XSBi2cuf4LIWw+H39H5w/2shyLadybhRhXd 5U+mwyCpIG/xs4wETnsD63YOk5H+bSIReB7vQrU4NY8XJjSPx3fEpCGNGt/b 1aIt8Pge9k4SP79ADmhuosfPL5akP5/Czy+COUyHHQ1nEPdvO4rxvB+/SGkJ nvd7wf7pmkbRNMJb0W+H5/N3vNYPw/P5ZRtNIzGegBgaGJBxnjDWtJbKE9w2 p1V7So8gJTxl6/BzkGCTHR/wc5BTGAZifkMWDzAr4n77IPtdBvcbcy337hce U8jv8/lH8XOBktnrpfi5wAXZmkWMbyDMzxXocb7hZ6tN5RsxP3PU1O4NITVr TannKQzsv4Px85SfvBaXMf8jb4qSUNz/+dkz53D/BxN1H7lE3YcSUfeRuPfh YQZkEvnMqk7Czx2MpNni8XOHbd7DDRifQcRveVD5zPfrWutxPiPwuVf59t1B xMc9ORM/r3md5XEVP6/xkNy0D5tf5KbFQ1N8fsf5r5Hx+X3Xk8at5zKJ+DRU 9+N5UcbVPh/xvCgp3OVO6vVJxLJeq+Pg/WFwT6tX8ncNgKAmaML4EqIsdGYH zpceCAyX4Xwp9ffUsx2bBxHT1++UQpmmwUVQ8eX1LUGQe1vPD1s/yLBy+wy+ ftoKto7j64fx8cIIphcQdxvdMlwv5DIoseB6wdw+yktCZxzR9C2TiRwahbjK gxfXpzvBjfgbvmZs08jwtKAjIxum41Qrk+ZS7GEh2SoBs4MKt5Y+bicNVeXj 9kHx9bHYOPDBmUEIH+eDSdZ1fJz/5XXp+P7kdbcSed0fYN6iNYvhRWYtj/33 dBjMNp3kPxUE7kSfrG9Enywrok/Wv/b/9c/SDllsu8hHBtdTd0+m2neDO3tC FIMNCRbu9/x6uIYMiOUceff3blD8f3VdeThVa/uOpFSSqUEqGmQooaRDPBJF pshYOjnGylhU5gwhZNv2Ng8lU+YhY4bWNrapzEMoMlXEXqZTSfJb27c+5/x0 ff++17re/a6113re536e+77f7fVaKnlE4JSyve9YjEIhd4mx/wQFebFbpntY LQxk4kJ6978fgxsqO5cMuoYgpjf3TOVkMBQMX+WbYcfyqt4K77L+1whHd8rw GrdC4BzbB61cE3DI+71i0ql+ZJe7ofPs90K4HaP16dMkiiDXz56VVMyDT9uv C9R1ksHINDHO8SeKBJYcS18SjoGaJxUiDB3B8Dcvz2hCCYosIM21S00UsNCz TNbfSgZdee+f6aUoYhJXVhH0lAJazsIi85QwYFLTEe+aRxH/9LOxrzcmwnOZ 2RC1CCIsPeN+MzmMIgVavle7agphj2dBW0UYEZqual8+dR5F7n9AXxFKGoGD kcfumjQJ8lJltkeposij7Q5b98Y2Qr1nwPkhRTK8/ZAWo2yEImu+LAyTdBrg dILHptFnYbDbZS3V6SuKOD+0/WKblgp6TT3PtGPIoLI5XTe0AUV4rj4+xbq1 ErLWRLpE65Mh4n7y5op7KHLtuqnbD7t6oJ1puZ4/TVrxfd25yve1xSb66V8u NMREoZIp06kdplSoAVszQ+HPXPn5fdj4A2m1Hywu7aCg+o3H620o2Ko2oB4x NMTXSKFVPqMNKjQKq22MSeDH+PGP8i4aQrGa8XqysRVeGoTFx2HrSfxMq5KZ RhH7nD/4hddkwUWneL9uzWiY543WPBCOIu0/GafPGNeCXozyq+exUbDxZn4T 0zwN2dzTQv3C1AL6lxezDGwjweeuKwOfEg3JEmhzsS/ugHyv4j+8foUD/xID q2rvBMLQESHU87QPLiqlyXQMhUKIxY/XrO0TyMY77bzE+j5w+rBwr3WOCObV 27y5N08inBWbUoU7e0Ei58RH86tEOFxiJL5RcAzJfyzUIVY3DJ6MXz7YnA0F s1c/UrHvHcsfmpTo33vjgm0e/XvnGW2i9ylAxp/lMr1P0UgZWO5TrPbhXIf7 cHZrHLTH4gx06o+20+MMh7SIKj3OJEc3SU5h32OtYkpDqVYW8FDRsJMm0ZC+ bfxXNQmFy4EnUphiauGHOMuNlDdRoGVcfl2nYwJOsbbYXaf0Qd7gJ3VnNRJw ER1k9Gcm4LYnu77YmT74Feai/H2eCBuC+SmKxyahOI+9qUGwF7paPO71+RFh eF3OUZkFFOSLT95x6o+D23Yery5nkcHbQrTLrAvD7Zof/RnVnwOP096+h0Fk SCoofrhIRMHJfZGP8q4Wxh7u9n1ymgwCjusjpdxpoDbzq8Lcoh08JHauuSRG AqqxLozfoQGXiUlaanA7+HK6t9SZkcApQH7DrVAavDypLZQy0gb2ykOjGrMk 8BUdolCpNOgO4grMtWmFhJ77BTenyPDYscGVjnOOjG2zMhEJBLf994wXHhGh Wn3efy/23CSLxR/wU3Ig+XgeQsgmwiNKYEBCGwqdnBU9Q+QyUOXaM9NRR4Sp GRHP41koMHuJ16rurwZ3Fe0eySkiSPLXxYVheaCmsJjxGfNGkBL5PnzRiAT8 tuI1JcooSJcHBre0NEIaS8vfzAZkuLDllm6KNgrX3n25m761Edi8q8pj8sNA 1J/PqegG9n957PAME6JC7bH3NzzcIsBjtkLaMhgF8nHR5uZddXBd4+/Mh6+i wDNpYAc7PX8qsnjzK9AedAo93GnUYKDwc58NwvI5Zobb5ba7nkCKhOyN6Y0E uP5GRKkPRcHoHDmq7lgu5CbwdVPjCeDNVfwHDGJxssa2/nVTEYTLC22/ExgC N4vqB1Lo59/4EYq6B8tAf3E0y8KOCJYx6aI5ZSj8YJjq1HCkQJSdzLt4XxKc fE32OlyCYu+VAeHIWwoM1g56/mIJA+M9ZVKfnqMQG/N9rY0rBayfX7d+MRMO aq9cs5Xp+DnY2JK97gUs6nOUiWpFQf3IIYW/mlDINuUYiVYrB+M/e0WvScbC vu7KA8+x9+qp8Yz5Xe9S2B5winLN+RHI1k1K0M9Z0CGcaVw3+xA8Ag518Mg8 BBnvESUuLH8dZyl2DzscB1EDL05e+foQ+Ag0vgoMP7/aRks/JpEMSld6fnUI E8CsmGHnOiw/rloMob5VSoc4v8A6s6EQyHgfJhWP4fOLvr6uu3iyge/1xT5T 7lAg4T6KOriPoivuo3griCW/bRIF4+ih3fR9pPi1ynWSURiEbXCOQbFxD5V1 R2yY86CtX/xsdWQEzO5zoKpi8+iG5V1h3JcDvG86I3pVo+EAxWfSAPtd4m3R +mzuTLAtNSkS8I2DpA1qQmzY+LDEsSQlhwy4li7I4bfwGGy4LMwyI4YRjaT2 ezXnxiCgIkJkl+sTiE8YP759/RCiuSTG72Q9DsWmHNQ99nFwH/c53IP7HLbg PoeEYb07slxDiIC5Riadl2I3WHKUzkth6+O1epwwjCC51/PpvJQ2K81gOi8l ZUZbS4BtBCmWTz4nQvsMvkJGDyVn7kOrAp8Fth5gJ7p50NeznU/2MH097Kq7 JbH1AGGRdXk93wYLG+jreTaoZITNA+uudMjR5/nzjlwUfR7NTQOcBCxu7t4w yWrHNQiDLgLhcn9Fgwvua5eP+9op4752RuLfpo7upyH2Ih8so907Ya/EY1vr AiJsdU4X/Jn0BYmXMzseuecDDBvlhaZkB8AtRV0CL8ckclfBeYG/shfaRKYN TvQ8gHc3q8Ww6yG30FOAfj0jv2Is/XpzxiAydj2cutsyQr9+69KFy/TrVW5M fMd+FxTNJWXovzul2HaX/rur/XnO4f48G76oka2xffnBtwT+DM4EhCG4NrO7 JREYGFO/DGD7QviWxJNEfQQcZLX2XcxNXK63iFm0r+C1ln/htTzL3/uq9HGi 2T88LsD7qpHsO+eucrT95seyjO/S+lbqBuJ43YCOy8Rkh1bwmu6/+Ff2GV9W cNk8jsvqcR+GMtyHwRT3YZhw7vhKSRtHptY77215NghdDehtYr8b5H3M2FSV Ng7GEtxr6OPnrt4Ppo8zjv1H11+O6/rbcV3/Mk+M1LdSTwvA62n08QSj1pV6 lDBej1qu60a1r9Sd1PC600Hd3CCXE5PIHe5RKp3vNLDJYpnv9B3XrSviunUp XLduTBFjx95DJPTNYQ76e/idrYxEfw+Fcb32OK7XzsT12mUsfD4+WN6o1xql mC8VA3IPzKvinzwEzUXqUjuWBx4f4/l+2yERIg72lth5BUNDa6JmBfY+eDZX eQzveArrrENee1MIwD129W3KLIq0WpC29Y1lACVMdJjrGBFI+VbHZqdQJDRs i+Wj19lwdlpqoVU2FF6MBV6co6HIRVmxXXG5uaCUsX2Yy+93/u1/z8toWk9Z lEdRhHjBzcjdIgdUPmRmhR+Pwvbt9fu5sbxrQsl1waslE7Js9KRYemKAu3+Q +8MMiqTJMBCMWtJgin2zTeqneJDkOB6ji61Tc2zQdJfAU1CPD5a9REiAmGOC oIfd1yhf2XSFdwKySXrrjHREIpzcIh1U9QlFEjcb9bOqF0B2p58s/0sCdBUy 8zzqRZG9C+s0tuwqhXl5zuT1mSHwitu5MPMNisjv0dubvqECLikfv+NzkwiK ZYGUiGoUqSPl7RRffAFNzFYpF7DnoKrh/qC0DEUsNROUlbF9SoGrpzMBSP+T fztxmjaSjOXDdrNMcUw1FfA1LG5CTSgaKLcDfHQ7UaRLd/19x4PPwSFlwEe3 PxbMPzqer3uPIjbhgj7P2Yuh51rXlnU9j8Boy8HkMWwe6hR1+qJUBZzWfWTY pJoACylC0i2PsecWqTvVd7MGNrVLxHlVY/n/2gXHzVi+/Z0tpoToWw9NOZtP PaGfU+z/w9XIFEW0n021oi1UsImiLTSbhILca2m/LRdQhL9zk6Le+Uao5fBJ 65j+h3+bhPNvn+P824g75P3s0SjCp9RMPL9YA9r7DvfwIlEwqv+CZWsRivg8 y+vailKAs36zlujZWNiUXK0QlobhGqtDWswq1aAusUUi83I8vI1nv4AW0xDB r5cNZT+0gnGaYUTcuVioX/T1khmhISVuhI9M6S1ArMwxFBMhQaxVg75jBg3Z ZmrP/kK+DUBJOjR9KhSUQ4SWZr1pSE6RQZy3QjswaUVaF/b8w8s9v4qX22to qT99DUW2zLIfsFanwp3r6pz5zyLAel1zrIEr9v9WxZttLq+HtYGF8YTOKNAz upTfbEFDBNZ1lFeMtcMpRqq+6y/sfiudxIZEJ5Ehn5BkU+lemBHyNBD5kwzT Q1ziF0cmkB+WHHHe7n1wJE+v1/IqCa7hfN2uVXzdxO4wcjk/ihSm7nS4ev8N +Nq4L74VJcMdtntOjDuGwbZh4z7PtDHoSiIDf1oClBwpWr9zaBB0G5xry33H IdU2sSONGvsbL/Q7zgvVr+lUT5sbhIGETPuPruOgTg3az8mExY01qTmOEsMg mSY67Bo9BtJLJRLHPf3Be1X/PR7vv99kmbxXZzoJe74wdO2W6wF1H2WlU3sf w+ONCYLM7BNwtMGEJpHfDxlhauHTbHHAOO83YjAxDqejtDgFzg0CtbLB34M1 GnTw/vstvP9eivffFR4GO2tKT8KwA7Obz6ZeuGec/1pw9gE0Hro/3apGg3dK wZPUBx2gHeSYF3IjAgb8LZGn+ZNgJmjRkdraDRJIgKUAazgEsKSH2ktOwoOE A219vL0goJfdzFVBBlbWW9XpIxOwo2be45trH/TEe6fWBJNW+JzBq/icn6Xm Bw9L0sCUzLrNe3snHNNS7mN8RwRdkSqpMhoNZMhcqsyXWoDxV7DbMy8SGBaQ uV/lYOP5piTZ/W0g2JzW6n6UBIlRA3eIPjTYuu78Ex+5dog10p7bvBC6wttk xXmb+Thv0/lkylnaZRQG9w8f07nYAFEavbsLuSIhzJDjupE7CvfG1NIKQ+qh 0WU4IMMjCkwjt3SPmKOQF9fa/yuOChpyFxTOB4cC9XbpoNcFFBrb3S55nG6E Sd3DQjIspBU+JyfO55TH+Zx3p8S+9vZi69n8IMoQSsBU+vT8icV/+JwLZf/f L510S5e8phwF88fvNQysKBBQM5RGUSf9lse64Hnsap+HAtznwZL6pnwttq8V Teqf5jkVB+0sgaJPeoN/8zf4G/c3WIqQNqopRZE8BxW5w0kUkPW8MNe/LhwO amtJc31Dkb/aOLguWKTCs6UWHd9oIuxqPYEcHUQRt0hCPrGxCL7vRQ9ZxRBX 9P6XcL2/Pq73VxW09HmghiJTDj5m4g8agXpmSZYrjwz9R4UQjj9RRLRt1PCg WANwLnHn5X0Ng4PcAqk/JlDEtyq76FV5Hmiav/I6E06GZEaz3PsVKKLUYWni IUWBR8U7XAO1yGDdROsQv4si8Ywmz5IOv4QbLqlD+bR/6iE8q+oh/0svf74j /yDqTkM+LPHtG/2rHQQ2bN6pJ0qCOs17EQpJNCT3jXoHm30bCLjwu+wvJIFK QbfFw/dYHCsgPyl92wJnQqjRF0LJ4FI0bGOJ7UdurEtPmDF8XZQjIyMvGg1a OYQrn7E4+fYHw8mUc1SI4PM7edQ4Cjhu8C4wtNMQW+Q8by5fK5D97HK8pSJB 35xFpk8cmz+r3mnkYCdwlvMqHvwQ/psOXR7XoZcUNhYxDUwgOoc3nKgM6wPt G0S10++JoKZ8426x4CSCCGR61ur3wunWxuZTjsSV/LxgVX7enCG77YgkDbms FzDuiX2nW18Jf6N/p1W8Nh5YvEKOn//1jh6vbhX+UKTHK6cilkNYvEIaPCTm 6PHKoa2STI9Xs/zPB7F4hXQw5W+nxyuVRltferyqa+lVE1YZQwyuPaV+ixkG gq2UE+M5IgjhedoXPE/LwvO05qKPmlGfxxGxWMYQqQuD8JnZ6y1lNBBMIva8 5JKZREgH0jJZNvQCdWBdpN7agN9wUzuOm7aizWexuI1UKNjdpsftSqLdDnrc 3hbJp217YBgRON2js5A0Bk4nbzKetfWHbxcsJZew7xdcE1IbnEpApXhW/bt0 NDg0Mak0uaLwpLhSri2/HtqMSDsz46JW9LkncX1uNK7P5Rfo6mLDvt9vuQLB 62/kwlrTKPbLMWSYE//iNYfFAWgw1OAnvIBxcpijuDUZ2h+95C24j+FuSml3 wK86eFQ6krZBhAwJuL61Bde3bsP1rQpWW1z/cKeBftKZGGmLdhAzu7SdqEWC j3Lk5P5HNBBjO+7e+7ANbglr/uxeJMHN9VWL8u00KDB1c5rd1woTFbQzB5jC wJ3AlbMJw92zO1iz1s8nw5063tuycURIdl1iKh5BIco2g2J4uxCStKX5DdOJ cDYIzeahonBF4oMOc0glPGpd65xdQ4SwoEO3A1JRaNKWeb/wohpoquOOS1PE 3/SkjLie9GWRd9BhNRRolY8XswiNcP7vwi+2DWQQ1jheW4HF7eqOkJctVxrA 0bH376jD4fBWsj/0tCMKPTb7pTuvvIQ5Ez7GI5MR4G/y4cFRMgoPXr35KUuo hRvWceN93NEwY97Wc+8nCsUD41+5pqMhpvzyVb/3wZB4WVVz698ovDk1R0D1 08HbUzmQRY4AnFatbIwYbjn/UdVik8EzyBee3CkxSADha9WfZt+hYGn/MsJP qwSWhAwz9jeFQKDs6OnCZhTq2kaJybfKIYi7u26vP3FF1xmI6zpVcF2n38+q tZGlKDjMn5g/mEaBW1UbFg24w+HlBHOADf38TaN7IlbNCNxZWGdweE0kcF4a 66p4iULH46eLVWcrIWQ2IBfUoqGVOJn0sw0F9XLRJM/+5xCr0emmzxAH6nf1 y5t7UODzNN2t5FAC9902bff++AiqmViPfsSeg3sJ2lesEAWb9D4ZaCU/BCA5 xmpheHXA8bLmlrAn0GtRakb1DYYXewt+wjcUfrAH3D19NRX2zTHfMq0nQHPD LjaeORR+xqoLjV/JAI8TeoPFJ4ggKDuiozSNQqfSJcIth2ywSsoN3KoQ+j/1 mKdOHrKYx8ZTTY0tz7HlQc6OTQqp8+GwzmZOf5GGQpKz7U/+rBzQt0z9Y790 FKjr+7VlT2HrryIc6FLMgt4gHeuc/hi4aJUrKDODwodd2hFvEtJBQ1l4h+xY PJj7DbFLYPPcnttj/+NONoy0z9hy2GF5vjiaVBKOwilt1QNL62thzqpUTtIk EZ5Wn+aIica+O4nLG9KSa8Cs9slG02uJK/Xe2VX13tU8SXucJ0mz3EGfB6Fu 991Mn2dP0YPleeJx/nkkzj8/gPPPa3E8XonjcXMcjx/FeeYiq3jmy3or/5kK b/xc7CT8XOy9uJ+DH+7n4I/7OazWQZTiOog0nA8wuooPEIPrDrxx3cEUrjso uG3N5EMYg9jvZtv/gmGoj+j7mTxKhmKcZ7trFc/2UOeORBYHFLS9siU/+r4E Vr0ENuON5BW+68NVvtl2OH/VB+evuuH8VW5c1/B9la6Bjc1aH9sXwElZy4e+ LzSwbxmi7wv+eD0nCa/nKOP1nOo+34xo4S9Ir6WTvFbLB1j6a1fcH0tZEIrz QGYl/8MD0Yn8Dw9kYYdQznsMJ37qc1civChF8tvekmMwvE4j8HqXYuPHVb95 zM9WgNwTbb+UT2FQOJPdno29h3uqbnLISacggmxBgzPrk1d4fQM4r08c5/Ut 99Ndhn87x3yZF6TX99s55qv1fZb/0ve9tWv57Rzz5f6+Q+vKOeZX8HPM6eMG Oe0VF/FzzFPxc8x7GELpzwfqn5kvPx81M+/l50Ofn+ja/pvPMH2eKa3W33yG l683bvnNZ3h1XYvzX3Util3fis8wGfcZXl5/ylDFHO4zbIX7DC/zFb99WfEZ fo/7DP/C+T9iuG/qIM7/qcH5M29w/swNnD8zg/dbNfB+awjeb80xz1p/dBSF o5VBf14VewbvmDvf7aEkwS57F46oThTW391wP6/sOTSmrQ3YUUoAZpzn/xTn +RNxnr+qab5Q0+IEGG13dbvG0QdNnxnjB6lE+IrXr5Tw+tVxvH6F5LLcxfAp ojnFt5+OT/XteZfx6ep+ugreT/8hpEnHrcjVLcgybi14RW2j49ajuH+OCe6f sw33z5nWtjrtbDWGKHIzCN63GYbEv9mQp1gcNsf70R/xfjQj3o9WlfMXx+4X EX716HMqdr9C6uez6ff737pfJV7368TrfoXHPLalYO+B7OFP5ya5w5GzoYYH 0wzD4GKX4cHPGB4mh4mL8IkPw4PsaO/rCyFw0jqLhecEhk9VZ/L5MFwZETm2 RseXCJLZz9kbvqKwZkN4dGdsEii6lB0ZT4iD/wMBFvOS "]], Axes->True, AxesLabel->{ FormBox["R", TraditionalForm], FormBox["\[CurlyPhi]", TraditionalForm], FormBox["u", TraditionalForm]}, BoxRatios->{1, 1, 0.4}, ImageSize->{360., 292.9753010185226}, Method->{"RotationControl" -> "Globe"}, PlotRange-> NCache[{{0, 1}, {0, Pi}, {-58.62167909940745, 58.62167909940743}}, {{0, 1}, {0, 3.141592653589793}, {-58.62167909940745, 58.62167909940743}}], PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, ViewPoint->{-0.45375531786854717`, -3.135296012095836, 1.189127843439036}, ViewVertical->{0., 0., 1.}]], "Output", CellChangeTimes->{3.4439359381875*^9, 3.4439721416875*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztvXd8Fde9L7ozs/eWwDhxS5x64nNPeffdc9+14957j22BBBLqHQkBoiOK TK9CINEESPQq0ZsB24C7MW5gpzhOfOI4ceLYcS9x9+/92lqz9tYIJMg794/7 9Pn8RnvPnlmz1m99v7+y1pqZu4tHVJYPKh7Rv7T4vNuGFQ+p7F86/LxbBw/D Xf63IpFvVaL823kR+gyRiNnwX3/a6Jf//3PC5/v5n/9wfX09GKX5sv3F4cOH Qf8iHm9jD40bN84cR/L6a6+9FlkpRT3A/6Lv4585jP7Hgt3mLCp5tZz0oFz/ rTfffJN+eaSioiIiZ8j1cd+jzc3NkTVy+AH5yZRPp0Wiift+//LLLycd/vzB gwfNdbF1vM/U58hdd90VWZtwuKkMlWgON5V5YuPGjebwg/IT1RkUa6qnxMok HJ5yZNeuXfTTb44dO0Z7EiqyLqHkBK1or9BhVAnWvDbzUFAR+tmpSJSuYipI V16dcIapC1czSY90ZmRVwuGmPqyEaEgd9fCHQurDh3t0ZOJBBnlchaS+ccs8 FMDItIeqoc2ks12dr0rQI+nKojsa6JGQxXpc3Z4Y/2brq5UyXazaNd+ulMP/ VRvpHAR8sdDd/P+K/7PODBQat59cDfLnLliuA7aU5A6i/uUflB4PhlcuJek0 +rbyZM/4F/p3Bv0y8+TOjXYENdbWd2jXmPCSY1YRa5zykkqJhuz7Lm2/TbsG HKfkpJNWd+0aP+7oOG5Rvq16iv30D7jA2fYCX3Rc2A3Hrdnf5MRz6J9vuyao aicKC2rxsC3FCzmOCz1Lrndu0u+RDs4J00RhR8dxF+8O+dXXY5K6/Uz5/x36 Fw3Y/Y+r1VlWM+u6XKtT0dC9HV2N67Koy3VhAnlBv7Y7jrkbp09jj6uG6Sd3 aSSo+2tX1dFyXHXUdLlO30tUR4dkCbtuoIsKe27gJ5QdYTQOK+xHHVWdmTDy 1As709a2X8eF/fq46s3q2omBfm7v+MSPQvYFJk398H9zDurXT+r/cciJZ1uF /YdzYtD3Z4ScE7MX+3HHF+NDzww5m41tD9p1xgnO/l8hZyvm8Ljv/BecndKO eXoQ/Y90roxEHuEBhrimKPp2+gmKukAV75zT6Wqcyrnnh9T1ZOr/v0LO8U9Q TtB1J3N2WC3+n5BzoidRzv8MOSd2EuX8R8g5KSH7evwXlfM/Qs5J7bicf3bK oT8CVIfldPvfWM7/HXJO9xOUExTz30OOPO1EtYi6tbCf/6+TKSqkQWHl9DiJ cv495JzTT6Kcfws559v/G8v515BzvnMS5fxLyDln/IPKOTNk32knKOe/hZxz 1gnKCYr555Ajz+747EiMxlh4aCci43M8iqJBsBkqo/EYOu57HdW5q1ftYYar +D/+0ZXMZzPGR/9pYIiGr77b0ZXPC7nKOce5ss+DddombWcKjXzR6JUZASM9 0C88cNbhpX8acpnvHufSCQOn9Fm1bK7OV40k5kUJpvufQgr/3vEuSP/NqBxp 2A8u6A6xdamFJ7ygq2B1vKZHebSRuc65QPKghL1uWEPP7fi6QY6ig5jmdyd9 sqOXQuMOhr1C6vKTkOt+/wR1ifimLwnTpmyzj4e6/7+uhgyQJ4Bdyzak5qp1 tRo/DrnkDzquhkRwdHW+mueUnTDafLxqxO3esPb+8IRdQVem3ucaKOTMuDOx UA/vvA5+FHLJ41SD1XN8vIedHaZpiWci54WUw7UNdoU5jDAInahE3VeyEUic I8I8dhhtT3gB0XtJK18AijeiqvBDcGRY6HRSF/KDC7XSZc2lgo6PhxT701O/ VJwuFaWPwbFh+VWYK+uK+kRS6Gox+sQ/ff2PulBim3x7qbi91OchxYYFBu6l /GSmJVygm9Vc+3by4Z+EFB8WPx2ndb6tBistVXBR3ErgaG2PGtPYD7p25Z86 nWX+8DB3FM5pm86F8CesSYzq5NMn2WkOxzzJKOKdkEuHBaSdqU5Ik3XGkncW i0Q8rVDxxuR97doTp92B7v4aUrGwaL7zlS1tk8qmWu2laO3oV1O702w1eP/r IZcMS04634VUDa5Km6FFcauZc2hfndQQBfphyBPd4+YPIbULS++6dbnGKB5V O6oc0Gp3F40xC4vbscFTgFABGtaSvBJSo7BktjO11O7dxDXEC5ZyFdsgCYvJ vU0aC2DAdioSNb+Ys3xjaAIdSDVeCqls2ABB59VcRg0QCdqAZGmDMJwqCNgy cj3ZJBVtlE9apIMaXyCNRfpSOIX7J9EGDaFNA/gXdwaCWmE1i/u0W0x/0JWL 2xKQYloUt4hKpXbobEexOHzTFDHAQTsIWZsSkHU0pAFh4z4ddIyW4iKrfDNA 2WZqJjau/QW5MinUqqQGdVNDh41xj+cdeij9RN88a72ZXDFVFyNOICFVfDqk IR0Pjh0fdTHbOCO2kR5d0dpzrESxSCTqNjPYRzUuoroXbbSnmVZLY4s2OgZe mhcNaCvCZx7+B7bQd1uILaOtT61klFJnMj6pjZsYoQFyfW2a01AS37Y1hZqk s/hFHA1sFJ564l6CFpYI+ukajB3e+2hIk8JGbzvfzH5bsJlb6Bs206NWclf6 Ch7TwhLTELEcbRI9RKlJqaHA5MaZZiZ5onhyvMGNlq2DXTFpZdrDh0KaGTaQ 3nnLSU1X4dZzH1NPB5ePKKSFV8WBM4roDKbgmhpWJEIN1m5O0knMwtwz6Hbc TDvT1sZGq02Mum91wVW/P6TdYZMTnYdBxVbWA1atn4Bhi+U3noh6iUkNStrx 2LO4YIDHuW1yrUJsuUqqC4hWCItZfLHwxkSr5oVuRL4Ezd/3j9NAVLoE2+0F TBC6i2FjUJRuTgKFmjiD35iQoqjNdnGrGjCjAtxXaEFh9qXQVk1BUWviua5y PPXWbWIFAw15qiHXZHGLdoRoI2wirPM2v2IbME4YK1vBrJFrry6PtGVsJCto k+MHoqSkCJuORP/WXjun6T6mkPKLtaMRTJFmMayYuGWLF3g+MdlSOSU57t0S ooewqcrO86eSdLONaodbn9UjJEqyF0Y7bhXZxpKGNoFvFRRVEBS2JpXhq04K HGR1o61Hxzp6VYX5iaQLMKS96hhbhpJnVRXWAl6K4yxm6ZoOTxQFVm4HEtEi UnIbF4ZwKxeJGIaWtdds6WYXbSWMveJNxmwXiZAiiD2sjUJR8MakonqQaoWr Uav+QlEm7whIGmjUtYwa9EeMD3UgKP3PnlYa0i+5Ias60tOFIbqVyVUds0pc 5hOREf6IS+D+O8CoGCoS1OyzdmNQhnom3RqxSsX2bTbxQHEgKQLVQmuvSE9i 6wrU2bE63V85pyo0ntJpvVpMJ2701A0af+PERB1pV0negXZblMmZF/SHkosG Gy1d3DXdardE3GCCdKviMYZjpGKxmSj9toExCgmKLlWJGAyblJ5bWLQpCbkI yzZLdEejUEDxpVF5HPIJwYHeyVbQt+5JJkLF0wuY+Maq3qC6JDkiirUDMvsf 1zE0qeLSL6iEggsHQcUlQy0oT0nfcq2qnUCC1UGN+0ka75escY+UbTJ+UTmB ebPl8iYDvUJVd5Q+tVdyKusxSgp2NejTDi0/X5UdpW2cTmKCJPj3tkSr0U6/ GnAYryqRaYw9LStagnbGEhtIrud8hWPuzwZCxcVDYeClI2j3Jaeg7JjU14La d0EdEQsddy20tcxlFE6RmtHX4C5UtZVijhOKN5mosbAt2T54pDVf7LCBcow+ af6RT0lTASVSBcaQJ/m9tiChTLAnHCKYlIrSjUDL1kGTUTEKFiWzjj0KfFjR c1RtWT+rgtKLhsDgS0fCkMtH8QVPRdsRmY8auAtggErVLoa5CbXUcrP2fdK+ pxhglYv6I56Bd6LePVZ8lE13USCiJ4a79EEbiJMraBXFn0bqjrooJ3OSLxIx hChQjmg3+hKbscmKmLzYN8abDTj3g4t2JmcQQ5aZgDxqDIsR7gnCIuKQAi/R TcSsqo9DBtqcwgurYcAlI6DmsjEw8orRp8oE1fHA3UCCdcTe8ah7kB076Vd2 rjucsQCsR4It2gbGSHrUVdxLHnUSUURoEYgx/45VsjSJkbJPS7I4+ex0DUW6 J3sAwyyXLEVBXKR2SUJDG7ZzzsMdUsrmh4niRAflDDZuUMAPbDODZQprLQXS zu8HuReSRRoGwy+rgQlX3Atjrxp76mSROg7aAzCIOwS7hXsFW6esoZ4h8ahj HPZYvGAXlW9Tu6VSupW9g08d4zNjMHXdnMAYKNwELl1Qz1aD+QR9Nk95Ng3O D+jiQ94Gqkme7rJgSeEOjLkORITHLgtl25bQZ8GYGhtTDc5sAMwpOw9qBAn9 VsdlmPC6QnEpBr1Se2+C9l5fNHFlaOKGXDoKai8fBzOumgTjr6499d4T1VRT 70kPcgfi7gG7HcsX0Ktyp9BLehJ7MabdaDuNG2Z6zaNOoxEJ7S7uqk2GRAXc aazU/MRQiLshzp0n+KKeymNu5XGvbgD+ZKxmXtC31jWJ52eLqOJLAFDIqYeO zhv/VKzZXwkTjUMSYVvplvZsY1OIWzaE2nEcvnMgX7nNoDwh6JW7CrpBb7SK RRdVw0C0iqMvHwtTr5wADVdPgynXjIeaa9lCnlpkJn06+D6AapI9WKVBeyBg pmMvY7ZDK1Skuv22k9HfZnuXfFixSIQdmM8dGw06FKWAvFiB9CwqPF+E3JVN fzvo0NMSO5SP4z6MBZFFe+JFjLHUk2yn+W6nRSTolFjfhEfqAcR5B91moqv+ yX0ntyF0h57nV0AeWtFKtKIjLhsNE9GK1l89BRZcOwNmXjcRaq9ni3oq3SdO KxUG79X+Qxl0n/Bz4B52e0ROsbGpCTbW7Uu2JdSL2JWEV2wR2dgyEY94KtFM TDqWbKuKdDn2KLk46te2QPLbtEOpk1ohsRs1LMzdCKdDLnfoBoORvCBQ9+VQ 9oz5rW4X60CtzbR0rKrdhM1mEzKWBqmbr72sPRvINreXiZfbwBng6L/dBA2m v7kSQ7S/s382AMouVrt7RS3MRLu78JoZsOS6WVB//RSYdENtZ/o7ql7O+V0O wmsO2Sfrn/B028V7OLLZ7TI1bqIay9R+JMxT2mCnklK2iRUuEfGob03QSl2r VKUx0E3iMD3qUnWYea1CQo+6UHsj13WP36Zu1fAYP1nJ2wC2/z3bvUr8gnZZ cmEw+sgpQTCQYWetJOQxYc8WkwxEJKUhLvtqg8sTgztfIh9JRInHZkSATq3a oVWpYu33gHSMirIu6A/5Fw2CQWiPx7A9ngiN10yDZdfNhuU3zIZ5N06DaTdN OFVeq9qG7gfqcpbBJHtR3dV7TYpnOh2P7r9LKl2pzNY+F0b7zOiy7cxmUhFx uoQVUrxVbHWRSMwkFmKhDZN96vcodbm6z1wV1r/0P3Vtzgan/2P0NQo56+lX /YX+Y21zJaASIARneIlkVwU5PlkTTQsJGW1RODj5qZOclJmxR7ysa9SV7uSV NSmr4Ly4Ynsw3sayQ5NMHrJATHClSrmTvo0mvh9kUrCMsCi4cAAUXTwIBl82 kgPmOVdPhaXXzoJ1NzTA6hvnQNNNM6Du5kmnDA2hxzCExlARj/CBpxBCqveK DNrLjoBC7PvsiACZBwQHllCxU02CgYkxC6HgYEO7ReMztL7JEzueWvo8RAvb eWPxBRzGNMi3OGHA9BLBAgFiQLLeGBLet0GBE1f/4NoMyWtt9OdZ6xGV6J4j Ns6Ui3kKbLON/pJCNM7rojpgoDDgWDXiDG/vULvPAMCP5EMH7HSSkjzumTM5 caKzeuP/HJRCxEUZhgBliIvSS6th2BWjYNJV98K8a6fBquvnwJabFsCGmxug +ZZZ0HDrlFMP56TSw+8HGHY/qQXhgW0est+xIfvEhniMjyjhg/3IAJEU9fP9 FCHlRtgDlrFeKC5Q5xERrMQMRgJhY1wogDHWxEyf4PG5rRYr/FnAlEt9nKMg 8SCbrUX2+sRwX79H6YOgRnB0PLx41qp4OkjSJlAxGTsbkc2mHkHU4FyYY0Pf upMoJ2NRsrAmgJIgqpKDqMpgcNlCxyPkeAQdVlhG4O4FOtkoBSilCJtKhM2g iwdD1aWDofzywTDyyhqYilH/guumw9ob58KumxfB5lvmwcpbZ8OC26Z1mN2l nBg67j3OIx4AGE5yP1Z0GG0IQr4LoQjjBwtWIyMQuk8gRGUM4JCkirwT2hwK o3YlhUzkineoSxJhw2Mm18juiO3xCEw09kHxiEoBpYqCpfxNHGWy5LXZ6IUA RYYnhw1FDqUGBk8xQo0xP30ROtkiAqe4+CzxTyYUtXmIp6kGWZkCHdhXeBfZ tVA6fxWM4SmcfBuEWrvJWIr41heV2/FZXeexDdR/iz0y/qi/sUeeBZVPoMKd lIUPFG2LMvkuB5/QFTmHCzUmKh//90OpxAxzIGJtKGJt1KXDYchlQ6HyiiFQ c3UNzLh2AjTdMAPW3zQX7ru1CbbfthDW3T4HltwxA04VbtLEkQ8CjHiQmo2g wxqr5WIR10YbY7PwABdzEgRRtopYowgOsx0KhCpVKniuoR8rpnxHktMifitz S1DPJWT7i7k7irZaM6YmLEaYMybMgE4cnqItAd2+Ai8bwYOQYzPm09YnjHkE O0U6AVAlDJMpAlaybLF2cXRuQiblSUCezyFafltCIiZAlRIKnTExDZo2g06r cGYkqknKfzm/F2jG2OBVuLKDR6F2YDGEzDiB0sz1uK6Ss1Cf4MmNv9kiU2h7 DmQhHPtSNKUQHXp+JQzDpGokQnMsQnPC5aNg1BXDYcBVQ2HsNaNh1vUTYemN M6D1lgbYd9ti2HN7E7Te0QjL75x1AnieIdeOuE//iDtW0IErH5Ai9Rd7eL8D Szy+el8QcvFRCE2GJQUKhEgRUtEunvASZLKHLd/J3pVcC3O6LHksgTLubWIN DSwLtwSe1YElxUAU6uTZmZlcca34Q06r2sGkwgOI9t1Ax/Ul+9jXRmGKTAGl B1nrzVQlf822x2VrBOeJlc0loOdudAfdUtjP5xtRaNK5MgRkHXHUOmIVYzxL guxdkrx2SBUD6kkUhxjt0GrSYLODUEEmm1AKkAfuktEvpstV4qERo3K5H0Av SgJRyHyWolShDEQZdb48Kmzc+f2h9sJqGI94nYJ4nXHFaKi9ahQMvXo43Hvd GKi/YSK03DwTNt/WCPffsRjuv3MJbP35fFh9Vz003T2twwhQgWvuojQglb5M 3EffvBNGivKcg5qDAKNURh5AW3xA7HFc1IIwp8Riv4SOhHQ6CZEuMMdCBqjf ryJRtFfuZvtLaxVImf045SCol+0Q4bJLyemXbA9yzi0geBbxCc6aVLAn5rnA XEFyK/t2NrNRwrCJKrMQyghTK7p3PV4ka50D4Wgoyq2x9Y2BVSMryQvHAu5q chncEhiz3bVgNmZWp6k7QHXcRTUDOSJTglFrc2U4ik1uWCRgM5NI8gx7FSud LO+AYGoyQLdPw/es+QusAYwRzj1CeOQnNovJ1LC0UMMFwvpwlDEotYj5iWij 6dhp5w+A6RcNgRmI+forEOdXjYPJaKNrrsVs+Pqx0HDTJFhx6yzYevs8eODO xfDgz5fArrsWwoa750LzPTP/63Avv40+BFBDItjH8xD9eITiH4ZzTDLsAdpH sYixm2aMm6gwCGUgU2EAWfwqtvgW/7sV/5i79duVYO2ll/F/KYmywCM7T8HH NrH0hWZNBpt1GnbZZHlAkkyFbBNx+GTFPWJCVDo1cz26r0xG/zo6hrmxzkle 5Yco/+AEJJ4JizfY/IokFsIG32EDD9UwVztiQ7dkNkikrAMNTAeOw3jCtXyb WvqYSwQTg0Q425K5wqgdudOUKyaz8DK9SEGxTgRb/OsoavUeJ16WmyK62VCZ RnjI5qdrTJKhnMA4RZv9E+ZGsfqDSpTBKCNRxqFMRJmEIfaECyth1vlVXEbj +QOh8eLh0Ig8WXRVLcy/5l6Yee1YuPf6Gph841iYd8tkWHVbHey4cx4cuGsx HLh7Key9pwk2pzXCyp51/9VcGfMQMF9GC1/wPGSMECbOhBkuhIFhJJg7Dn1A wiRKG5U76EIiGkQRT1Kh/x7LE46IXI7wYWWU2ZTucNmRwuwoFHZAAQmCJZ/E zC8RURBwuYFw9OMxP9Dqb+RQxwjTRCmRKWJIhx9PJ9aozvBT8E0IE0smDPOF k0xPxzlzEodK+T8PRuTx/V7t5jED+uiasU0SFvm6DIQOMlzhlQilujCB4qBt NgaypNG5uQoZkNDYUv2GcRv9g0Bd3EaMGBPlmd0YsURcvpn05THFah1T/Cfr O7A1acoUYkgfZYmJ6HNMkH8elCtJTOBUjTIUpQZlPMpUlOkXVMD0n/WHGRdW wZSLq2D2RQOh6YJBXJPmS0dBM5JmxTUTYcl1E2Du9bUw5cYxMO3mcbDw1imw 9o462IUB1cG7l8Che5bCg2lLYHvP+bCuFz/34Di8OdO2poOHvgX3n7t0Gov0 QIrgPiQIqsxxKzBSwir8DXnisVeJuzQhlnAhQyipGEybah6xG4Qh10D0LwMw qUDvIpM+cajQ7iC2cEAlQVVAFBp6wH5mL8KjCeRH4olcQckzS6fyNtlBkxxE XXYrC6UCvNCdeJLlihIlYjjiQ5915lGC+Am/rpV9qpw+ypsobY/nbaKaJdNJ OQmBV8y6GiP5rZaIiT6m0PoYXX+a6GMisnTHNz5GBzBD+cPUcZdwmXCLnY0u r+tPWUMVjy9UBVGWTXR3mwYNFPZEdG4dSRS1HDrHok5GaVItiTKddDhfQ7Bi itCoUv8K/dUjEYGGoAxDGcGZSD8YjTJWvc90lDqM1GajF6pHUs25cADMQULN vGQgzL10MCzRNbXrLhsN666eABuvmwIrrp8EC28cD7NuGgczbqmFxbdPgQ13 zob77l4ADyGhHuq5FB7q1Qx70hdCa8bczhCrC480PLFjkuPHPQzEPjwe+Sf0 85l+ow7ZqI48FXIv0iPwUEo/KoEoOIQEaYjsg2oSpN4gSu+RfzSihiys2stC cyj3cfi9J4gITepRvkvoSEFdCQlHJ8Vkf4t42KRwW+C38u0wYB4lA3mUuOdy ukNeK6ctMazK2mgZSKzjeXJlIf/vY3nYe52J+nqvNVrCT/wtxrSMEkOZlkpN e5F1Nm2KJAxRbbCDWOLWoglujUdE8/gWyGR3VmAWwQVreWw+VJTITCFm1CWm hH88JVW+zaxKMGPthpt+CBl5SpSTecM+Xf/nEw+TKOjR0hf8ZfDepB7lGRfR TQ87ZkrBYO9Et8bsLHACwHLj6v7durbhykoqohb/T6CYEGUKyjSUWShzURqQ oY3I0Pno9uYjQxdcPAjmXVINcy4bhLHiEGi5TJZjb758LGy9ZhJsv346rLtx CjTfPBEabrkX6m6rhaV3TIXWu+phf9oCeKTnEngEWfpIegvsz2iCrb0bT8DU sxJdoPOYkuOwMa4M4DjxIc2rhIXCQFTmiIMytjD8QBAqMgEf1HBxCKdaDgfJ WPLoA7tBFSJif0tEASiRsYKE5hv67bYLJNgPbrd+kDFUoDm2+kGmn8/Mi1rm ZYsfRA60Slk+EcwjvnhEMJ/YFIWMtWZeNWMNVT1DaKbE40OQaXwaOuDMdYnc 0ASMRyQ8Gf7NNvNXif4vqhOpZuBMzIbgtCDwe7JGQ1efBuSK6PK60q1mAlwX 9bCfo5qU00iZhIk7jIcO0qn+7opMQy6dZ6CzB+zW1Sc02BCsSElkWoyYhgfQ KjMi2mAzUjpkrwmnyPP1sImWGXjo68xVEL/KzJyFxI9Cz//BHDPeb6Tj/e5V rkV4fKIfzESZrVybhzIfw8yFyLdFyLfF6BWXIOeWXlwNSy8ZDE2XDYH5VwyG BVcNheVX8qJ82IZh5x70jvfdOBM23TwNVmKetui2CVB/+72w7OfTYPM99fBA z4XwaPpSeCyjGR7r3QIH+yyBnZnzT8C7n5zQ48mCkNpHwcq4R9D7PQLdFe7E MGKX4AP5hfuUXUwuDi8j3V0XBwNNlEnUCuilIODxPcsuFCQXlJOQq+M4p5Rj n5Idye5QIs589XR5GnEaN+cRz9BhENOQZCxZJIj7TBJdLNJng43zeq8X8hHR kDpEtoy1Sjsf0vlj+ho5LX0NWNdJ+zJEOmYqR60RdqG2HWaAj4irrjESStSc ZKIyYHX1myaTYdzcksBN6XqXm+XbdXLZ5wmWqF3SpRLVNZk6hG3W3vJUmM+M 9F1G0oDtHs4s9ugSQRH2gmR579NEfa+6Q5+me2W4K8V1bkw+pj7+H2RHQXz2 cGNk1AMvhn4u8t+ZgeMdbzddvR2db1i4AGURCbJxyYX9oRmZ2IJMXI5MXIFM XHnpEFh52TBouWIoNCEbm64ZBiuv5Ts3YOc198K+G6bBgzfXwY5bZsD626ZC yx2ToPHO8bDi7mmwLW0OHExfBI9nLIXHezfDE31a4NHMFtibtfCUGSkD6Pc+ Biy1jykrhZmoAeQmBqYPU2D6EAemD2lgeohoKDob/ICNOwN/t9/xd/sMofvz jDt6PeIlCzMyYCUlMmyakZNQspODUApAOckvcuaVzHg7MTIXJWcT+z2P6MhO j5Izh418+T40p9N7vRmZTidfmE4e0JINeiHNevG3Xqvt7Ez6amAOqkSJgr4T nHIwupYq2metKTzLTDmZ2NMOqpjVhrpMNEgJfVmYGKzpF8bxGLuyTW6t2SLL HfmYUlrIUcajrko4HmM3q2D7OQud2TVW7rTNYpfoLnivoiHFDkgXOEJPHSHV npbqDhaJGtbts8v9IrKoC034vuSeu8AyrdZh12SNJYlhM9TX1aHUU1xJvk5Z RmUtxv9LkG1LSS6shOaLqmAlxpqrkW1rLxkC6y4dCuuRcesvHwGrrhwOLVcP h6XXDoc11/OCc/SB4+GBm6bDwVvrYO9ts2DzHdNh1Z1ToOmuibD6numwo9dc eChjEbJtKTyZ2QxPZi2DJ/suhwezF58y60R54x9H1j3OzPOIevhjO/Jh1Ins g9EPa1RK9FMKUhEjD1FmeJAQMlxdJ8kwFHKbQx6EbkpSxzsqEaNCwICEHjMw TgyEUhLlYLGZ7EIC4s+FCDFKAwu2gXWQeVttAN23LfCFVMVMdi3iBXsjFZB/ JOTI1htPmC4S0Vi0Zzs6xoiORMpVQJ/4m+aI6avNwewi19IP1h2muO5QYlYz WmOWM0ScdZ3OPJmztCvi60oJXomQsAQs6rpCqbzkgCXBzSE6vmlywJjNAa3I nSV8q+NO05j+7so8c2fRbiuddY58LqeI1XuFolHiJFOSV0VJt/1PSzNyaI1K NXJqTShEtaUozRfI9PAy/L8cZQX9v6g/LL9kAKy5tBo2oJNrQ8ptunw4bL5i JLRdORLWXz0SVl07ApZdPwLTvDGw7QZ5Q9fBW2fAQ7fPhgfvmA0775wJG+6a BsvumQxre86A3ekN8GifJjiMtDuc1QJP9V0GT2Uvh4dylsKeXA5DLzoR/aLJ 9Isq/2j3hCeABDWGHPSIgHh8gvN7FIR+cRiDEaqhINGPzh9FIzWGex5RzyPO kaULmEfB6oOkeE4KBznzb6lKFeP8yjUkDcJRfZAPEq9oByeAHtHOI855RDiP wlFK98j1qfvL3mRnkMnj9SEhvm1w+RZ1+SYesBf7sZ7ow5B3zD0dCu25GlKh 5ypSAnHOZRHuFbQTEWPWQWqQCr3XKAvZI8q4qXu+585cu+6RxmWC3JFI6JmF uG3gBKQFPDpqxmSM6P29Jig19wSIl6SgIrgdRCemU8PIGNxNslMo6Unm2H+X VXCV3JISCBNP6BcxMw1CQZ/o54fQT9tP65+H8erEYYaN/w4tF/SzLFuprFv9 s0pYQ4LObtUlVbDqsgHo4Kqh7fKhsBWd3I4rRsHOK2tg29U10HZtDay/fhSs unEUbLx5LIaV47mMh2+fCY/cORse+fkc2HdXHWy5ZwasSZsKG3rNhPt6N8Dj mYvhSN9mOJLdAkdylsHTucvh8bwW2J+3qFOsO/Fw58QnASYy9ZCAzD/8Qb0g O0GPyIcdM/ZRzgyFf8pBKqBGeOhZEuJFR6A7ZP+HMuwg+z8sB7mIvyETiYcc pXLXcBo5iCf2BiIpB+xnoWkj7hNKHSv3smOMGOdZrF6wiKPRQnaD5P7yt1n3 x/lhLo3G5NBIYLZ9yEpWm/jCzFa7SASJaGnYSynoEQPxtzTN/9KQUigepK2y ARt+ZOaR4GfcsRI3+M34zVVUAnE13QgFqpQwxomTJmG0o6d25DTq+kWZVAxN EOXeiVZw6egzG/VuX1ndar1jsROu8t05IeFquROuUhlOyOpJuCo5ohOq2hxR g21ZpxbRSYqBZpLCt/xLcn+Gevt4fSaWjdsYLZEQ/p0HG5FnG9Czrbt0AKy9 YiBsvGIwbLlyGOy4cgTcd1UN7LtqDOy+Br3ZdaOh7YbRsP6mGth06zjYfftE LvmxO+vgsZ/Xw2N3Y+p2Tz3sSpsFG3tNh7aMmbC/TyMc7rsEns5uhmdyWuCZ 3GXwTN4KeCp/ORws6DC4jHeSZ93URBGnajWnG/cYuzQKKR8lpY15VEA2Gnk1 mjI8JBXuHvWwRJcjRTziVeT7MPyQsgplKAn6uCEHNNNGZlWTILuQWTCQhFil zKKQs/8+sKwyISe7vT1mlpwGPTHiTFXvaCiVK5RiD0cXQ1JBX8qJsihPyuSb a/ogGHtvVEGwZqwP0Gd8mnLKt4Ri5ujKSfyEuk1bAfTJClOQ2bXSZGPErpiN QB2GyZiMxwmhQNiZmYi6/s5OQzCbJBPkViRRStPlAmprobmnOMoLJx1/5ydR KuoOh8rNMHxbTIXcg74DzI1VkcCh+TrPsNtMRQzcY1aUqP+KBElfwCI8ZMhe yfOkqnxPH691Hno/HsJrTHn1/fAHlFQ/hN0YCu6/ejQ8eM1Y2H/dWNh9w1jY dtMY2HTLGNh6Wy3svYPvK4In0DE9cXc9PHHPXHi051zY32s2bEXibO4zCx7I mgdP5yyBZ3Ob4dm8ZfBc3nJ4Ln8FPFewEh4pXHqq5NE1M5MPA8skEnJYKBOe 5JgRxj9Br4GgFnWHEUgU9j3EkEMBQ6gMYsjgA6AxII9kWoKwCxrALqgKSdJ/ P5OEhitZtRU6jNWPtY80oaQMe6R0tyRmJSjFJNSJRdy7lJQVbGePJGM6hDak C3mfTF7I1Icff9Rb6ZKxQSQdTX6v9eyGIuyCzGwx+x/xM0KSGHHE/rpcKbJC yUMRJFFIaBQJKOMRYyR/Y764iZpnRi/X2ck8mhoMnJIzfEKcSaAMFaTLyIQ2 PDFnKKODlMEK+GKz2DZuczMzkUAlldEQpaGMb4dKIr4dJZGbQKrkMQ+77cSB 3pm8x6qmHXXYAeFlq/cGEwdmps4MUUbk3hS9Fw6vIPerDA1uJIh4iaRSF0Z3 uoxgOI0wRDsHtt02DnbcUQv7fy6EOnzPbDicVg+HkUyHezXCoYw5sLt3HWzL rIOD2fOQTEvheYzyns9fBs8XLIejhSvgaNFKeLK4pTOEMkFxyL2+WK8pT1F7 Jj/lMOowNgEphbsdUpF45LUoFVPfRZUfR6MjY2mDXguvMhp9V80jIqNIHjZ8 TGGvQ4SqEkLx+RzL8aAH0ak7ex0iU9luIVTJ7oBQRTsl4Soks4l00uHRPARJ 7laRHERUNiKr72ZDtBRIR0Klb1Ai6ZQ2+Z40xnga+Qakk+XOSuXJcubOctOV acvceTGfvxPP6AiPzmDa+QENYyYNE6e0iglG45rtJgg8WdZi3BGeqYwywx68 uN7TfKvN3H2RH9zyJqSKW1IVG5HAznhcm2GZ+6HKeTWPSaz6cfxcQTdZSGBn OMX1kEm5KnJFfD/MQIdU5tEOe82NW77hD7sjvbsGmcT3CfqJrkhvyaEThsud YXEmjc+rZEeKaG+eDkcyGuHxPg1wf+Yc2NG3Dh7KmQ9H85vhaEELHCtchrIc jiE7XiheBc+ULOezTkSR0/SlA1OOABFC6PAUVhG5gL0x8bDjY560YxNPmNyI ao6coNzocWEDBXFIEArkRot4xAhshHICRqqM0DGL4TyRPYyXl5CPGiJCquM8 qfqARHKDVMhJnaEWs3i38gOlUKdqCogj+ZwKtePHFuYHxmmcpqP/kTDN+B7z wBlKadZKeKbpjk/+xpPIi6mAJNCYiukggke1mCXw+DVGvPACXqRS0MbcMLzo 5Y5PrNVQLZ68iISXoZjF9Z51OH5AC9+lRMTcVpXMiYiJzQwryrbbTKddWFax 0w3LnPE/dTkmSnNZIbct+GaATy8o10ryMgEx2MOIY4m7jsWuDDfuxSeCxIgg HvEjSuTAbPtBvas2Di8ULYMXi1fAiyUr4cXSVXC0bGUn465kD5E8ODDtaYBp R+hlV/RLDMYi9hHsLAp3VIgBu0dY1zMV6fjrcEpcCObY1kPgQp2RLrFYjCHO LhwNAgu72CrSQX9e5luJ/qNiH/sO6IdSjsouu499Bw0o7ZGXj9KAN3Z5FkIg c5NIHw63enOQkuF6BkRYz7U6Ce76gRVs35cHDqIFdzazkINoNoBk0DuEWG79 g7oHOd2An/IVT8fNE2eQJVEx6KeyMvXWKOseNoJxC3IHFreJV+zn26ekmFtZ gyeocJAlSck2W1Z5YPxNbk9OYKcJ4ioDBvANN8Yt9A9GuyNJ2JfbvqXnB6lb 0PxlsARTNAG1nyXiJXqESNRFPIlvUd9NUD/yQVM4oh5G8WBSDUFn9AEhQdg4 WKehLr03naAucPdh6hHgQMkjp4AxyqSnJFKaqDLhsPgFOnE8/r+XhMKl2ieA ucKI9wjsWA+C+2DNPugMteqoOW7XQIP4BxTxNLaCuqokCUBPAZP1s+Uu8Mm4 kUMQoXkhDorJMRSQYB/nk4HL4yGdXI2wc7ayY+hhQL72KzT8KKu/tPejpLXg 9+avSUx3pi0lcC+hzVLrE5p5oKwFknwCR1LEKGMTPY3PrDtYHeTuGWtMtNXb LHCKuU6A1yr2NWs35AYtlw4OG2RVS2ESI/hZE3zzdwkl6PxEirLt9qHf9m4n cgByj29F8LyxXebesw6oYPJ0KmCgJhtmtEufrBKT2zslkaDjyObL/QzG0kct 5pWKFAqNMmJgjycg7mE0omoMxwu09WEsfh8r05DSWWHP+O4sKf4DOHHB7xcZ LCz+HNKaPg98G+2yofISIIkYk4fYsBYzGqDhTBcNEpW7AXMwgiOTFokDowYI EXN/Rd8NyciKGzDYZFSjZicPjSaHB541kL4+iYLDgh3udJ8fDIIaZPCNt4KH qIsHGxmoXbFr12hGnmAR43t6qx2xAbPxRDb1lKdtkDE0EEkhiPgaLUcSEk6x kgoVBkrHcIkxVMah1GI4ei866wkPK3HCXuDSRVs661mAmSIezHgGN9OfoSKn PSM2durTVI8pT2NDJh+hH8i+0okTn6IfaBuDCU+pnUUZT/Ik/YaW1icri1ca hznqOA3Gx1IYjhEJ5aOPSQheozKKYxSJTEY+ojH4w5yhc5OH6zzGMFQECQUp Q8h4S4RykNcYUiyuMuiAmHhS0T4JRcgux2jbXYhRRU5rgFr4FGXkCLo2idTJ LFFc9A1yo+kbej7m4q8TuGFJ1KIk4qCEFg4nk8iNrl0SSbapi0wlpLDM6Wtv 75OoIFdHPNsN3/g64smzeMVbE2bxeN7A3F5exvMGJp5Wu1oRPOJvlx234TvX fbOoLOH5HglhhX8cwvg2kFYiEGksYwPWxKxh1eOGuyM0vgbTB/CTRBQHScNj 1Ja6BBn/iNRzEvbfZJRpKDMQa7Mek74MezFbF3lT9xwWR0K8EfI8K+TxiDtY wtRnmD3EHZj8tDH2kyhmmUjhCpLGJ7YwUfD4WgxMkC1cOvFlLCeyY3mSb8zj GsTzJB/Sxie+eEyYKEOVXRD+H0Gx/QhadIZk8YkllLMqV4ZyHjuE89ghOtY6 WPLYg+T+DmCybZyJGUoZ8bBygZfV0AWlb2qwOjWcV49+XGcfMOE+rIHWU2Ym ARmzAKOShSxMoq8pMF/0TcAdckjCH08JFDE5a3KIbmcSnFVlGe5ADXNH7wOP mBlye6O4dIFDG/E1/DwZwxzzEJASjb1KecLbjHHyqrDgcVr6zBEzpqlT26Eh t0fU8DXc5gxTn8ckboQJIgOX4k003mbCG49iaHE/KElky35FR2I8yxLxKGez R7EkeSggCZU0ATuWSYKdORVlOpEEsTYbZQ5isBFlPspCxGbTk+p1wt5E2lX2 PA/MIBSfaIQmdeZz4ohmqExHmUbyDDVq6jMmzjJ0YhGPxNuJR4B4RbSKMLk8 Jddhc1EmmIhPDKNAjHj2OAt5W/JMo5lw5JlqZBQ1cpZ00bBEPqkPiph9jl+S fR6dYYihnkT5U/OYuQYpipRzlqpo0tNqudgJT+btlGeShypikDYfw/0FKkQu pJWd6g4IRXzygqAuJTSo66mLwpJHPyVYy+TZNzeq99QZ5WwMntwl1051x3j4 OQ4c1esTwbi4YgrgSrYlLCkxkRyHbrTwUsJ6M75jDIkbyXtB7BYzMZsVnT4I 6MZ2zn38mRnTSaKbPtvFTmbLrf+GblHdOnQj8Tnc/wGxjSM3l2dsC5FjEx2e TUGZhpibiVKH+KtHaUBYzkNZQDxDG7oEgdyCshxBvRIhsQYh0PqMNiXstcdd HCyajfxDwW/IRA9mPU8nkTubqTLjOWYhagR5SOHgs9KYqYJIDgefBnZn3wNG HZInSpCOM7qjjHY6Q1EfJQrEyIukChDwqCiRTWk35gnTUWPF98G4J5U9UbgX VTFe484JlO8j2XH3RNTMpEDC+GLCP8OTIAHxA560cPJrgrawPPhMJgntS/A6 ZvwzMe018VrCKFCeuRmAlr+Y++EcchRtVc8j6x9L9Al7ZZr66u1v5cFYUFRz XipI4zWzBlTWONIMgARmlgNOYOYnjvrHbBBmTJlOncXE+A3XEU1JXbpL2nIw EfB0GqcnBPhHGfAeIR6N21TszxmI7TrEdj12ZAPKPMT2Quy5JuyuJQivFpTl CLtViM0NKFtRdh0FeAD/H8LfDhyRGOC7pw7/eiwWBVU1+yicy72Swg7Foomc yRFNdNi9TOCIhkA4/rAVDng4fvPIq2jp5GPGcfCG2+6E5R6ixDGPm0MU41ji WPZD4wTvJHTakzYTGS8ejVBvkR+lKmqPIuKNeAR8M3897Tmp/PTnqHjaRoXT z1uJwky2ALOOyqH4n4zAUXDCv27GOQju14bg3jw3KuK7mI+Yx5OYp/cETiKa iPstCbgvTcZ9LBn3ysoKXumZlKx4QbaSdFFd7SsOIiKTAFHzxC55ppw+Wjfi u9GZSfZl/L8dO6I6Bmrmj1MsMcYkE4MH2JEeaL7Ha4oy4ZGALFMfDxgyFzt7 HnbqQuywJdhZLccAVryAXuBFZMYvpLwdvwTYj/IwylO47zn8/VlE7jOPib88 8xRYYsYUZ+N1kSAk5CmOUqxG7oJwI/Cboa4CAcaegh0FRmvPUqxBCdAURyar XZ7MQwqEYd8STQ06gTtgGntPh2l4fO2TQc+qI6k9DN0kpqs9bPqH8hA6oZsc MsFGiBxbmeuzw4hS3fDXqY7XiDssmi5CnpCC1Rm27agFI0wb1lB3CdhRcxqu pjV8AWmNKPO+RPkqYh7qltYECYGaoBqd0NncD/rUbCfRz5MHD2qu3gFtSgN3 Qec7tEkeIrXzY1F5TifSw8wrDjSPDxbxQ1jhW1bolZwoKq5eZJh5kKibqWjY JDqQ7ZhDwhSTxI9jpmD0FDkXatWdTEF2TH9C2DEHu7ERkb4QfcLsp+Q3qgL5 lMW4fyV22EZE7fYXvoF9L3wNh178Ep57BeDI0Y/h18e+gV8/+TX86uDXEX0d YZq5g83SJPVE1IkmUAc/uy+sn4sknfsCfZvD23okZv0xFvI3x2gfkapOBPfN OmrOVThFmGI+McsX1FlWibYdVsWIToxmMztgXcZTVG3a6sJ93ZdCWxNZtQ+h nqazJidRVy/qUx1MSjPduBhmxAw1DLg5ipgSZ0I/1wVthbpjEDGnk07YFx+j URzUkq4fQ61ZYQLN+QzS5n4uRJr3ZZDlLG6f5dDu5eAuSDR5Sa/jhG02TNR7 MPWZtOp3Il5An3YOx9cHj1YFz082g2TiZOwijCDykkUYcWKQyUEiOiYmU25m ti2ZSMM4+xhmZxwswfQRqkKoH5rhYxZyP0QgSjyIQLOeFFczTgcA+rX9Hfqt fg+q17wDI9e8DRM3vgPz7vsQ1jz6Kew+9jXsPvwhrNv8O1i68ClYufAIrFtw BJZOvh/Kbp+sTwloz59uIfyJdYI/0qoG5I8R5BJeAdnkdUimqCWTgs3waVZg nvGb8Ol5cHBLyjpN2sDQnvy06QodXsAfcNtdPZV6Dv6WKvHcZM7IHH6Q8FhF jIjiEW1TxcrMoOsbepihd6y0Spyo0c1hBjf0BdJJvbElhh2o3zmkETEyZG7Y 7LxAzKZtNKBNA9Km8Us7ZmBcjjCGCeOmPEqZiFkJki5jAMKX9TbcM2Nq5qmi uW3WSUX0EaQF7R4T71uWyYrzeFjSTiyxz9dzvE1UfY5LE99O0XFcFpNALIjQ ghE02sb5LvhhjgyXJF6s0VmQtfozSF/0HvRs/BtkzHkD+rW8BaNb34dZez+B 5se+hA3PfAVLdrwOszAmGzt6LwzIWwHV2csg7ZIxkHbRcEj7WTWkXVBpU0u9 0fJU6CD92IixHUnDL7B5yAmPSRGlng5M5THcXc8hx2y1qvS/7ph4mO5qMWdq 7M+BG8X/khxQkDNNBtsk0Y86ngY/GYnDFIVznL7G9ITpyZmGPuVNyGa9Gnu6 mRxCMkeP4WXqjtnxCIo0j1liCebZO0gT8QfcIg1eTHCzL5J2cav5FX2Ps2aY AfXIgDnkODDyavzKTDuGsMCOMUdkZYnOdKqr6R44jSQS2Dy/Few6J4cBUcuA IlntZ1Z1lAar/MK8TDxsDibwUnKb8GDlQTxkGCumjyi2ZKCnG9G3FNqmOCs5 6Ax6EF/5Ts0cz4SJ+z6DeU98A7P3vAu1S1+CQRiJ5WEN03pvhLTblkDaDQ2Q du0MSLtqAqRdVmMtP6tcYH/SkJfazhPI4zfZNvwiyWBHCSsMHwk0NB4/CiLP Y1sIfXEKTUz87uK0mwTpkhXrPiOcJsfofMUxFhmzmDUxjWEXCVvp2S+Y4xGn ccKpwDERrHHaxojGPeTgBnuIujxEm2wTXOEL8p9VPPtTRDaiei6iuuEra9sN onVVhwQgurh8ZbDCVSDYo/2wlUKZnv+WoxPzeTpHwkWpSQ9GqyJ2omRr8mhZ sGovIfkIoic63KTrwXBVxHedQsTXJ8cEC1b3SY7KGVJ3YoCA/zTGNz1tr1Yn wmiElt6PQikLFUnXJdLRRKlZiZc2+HlIKz4Eabn7IK0v4btVWgr62KewNKAT IE4RW4TQ9Qi5XmC0fTe+FaSwe2c4e441rJOgQMZmfEKgCZrVlGoQMZMCh5mJ dtZkDxwGmdGgWeoV6jhgqqOrMYNmUxyRaGzrX7BWWIytDTBepObjNkotYlYa 6Ip7kkYzt3oocx0HhhoP2GzAHkaAuChM/ehssuEY+M/9KmJuQbCBf2C86f4J D3qtpLIU6c5DYHq4g1UJaKfr5ibm1zoZyG8HU6TLqyhkUFZm0k2Q0i+42TXi BwvwnCe+d4DtYEZQW+/kBvvM2Oxgvac1qiZ+sMya86NUxRV8G6bQfNbDkjzT RF8NJdjIhhF0ZyyFULu+gQHbvoGKTV9D2cavoGjVF5C39DNd5RTY3MQ892Qt 94JfASz4JR00/5fYinm/JCypOQ/kxcCaNZA5nEv9PedFCfKjDh41mBHKxl2C iO3FnsWtAXmdxBAcRzC+fcJ3ErQN3OuxAnNEInxxvQbXZe4vFN9RF98kqRbi Kdw6dVi/BP7m0danBkeF//MsC0gJ8g23Kcn0YBLg1kRqabPQyM8mI0+DR196 6vqcCQtGfk9BPgFfYL/Krs/TZLBbAtyduQgX7hHBu+9iPSKTdPqOuCBWMWNE FcFKO11cpZac7vBxk2GagBBrPjAYbJX4nh+i7YQzgzn7HbzfpsUG8DYW4zM8 eu42cydOn6SUGAf19AA6OmESZriTn1CWnB4CaX3cZmeD8IWIaxWfQM745t7G A1x8c6kmVHeMp0WxiW1nvxDkeFF1AgHu8YfZJqxIFV9Ur0mwmGWplgKYrpIi hqK9UeZ9MYFj4y/NmYpYEh1Fnf8rcyZ+ouZhDDLfIhw/8bdU3mLzBc4sfPo8 Kl+Op3JNmznMOd3J7hnZ9RqUzzfDoT0SI3IdwiFoO7GLfbxXhrnTLtVd3mHX EzKyNzuGPB4Ae1sws8bVlvtseD0phyr64BCzUsSx5WLJq2hFxwC7ftoJVXSc NAzTDGTzshA29voqhWp9+l0KP0X+RzxIRKFMjT6hZqLAmI38tMOYvD2FccER NH1Po+D/yXvegjHLXoAhU+6H6nHbYfDozTBk1EYYNnwtlOfPh9L+m2AQGsLR Wz6FGnQCQzd8YYw9ug4Z8TKhu6WGiYE6JIa7jmPRr8GIDwt/Tb1MPFngCAHL C/gSWD3x5hIGJyW3kSBmlvQOUa4DKXMSo6mENNB4goaAkRGFfntjbQz4fAeu ccuFFKq769V+RXEmbaPuPjEG6PIY6D91NMNAp8ilUWP0lGC0clmAcTo0uNkg mjxGaWaM21luF99RxjeVVGzeY1TKUwBl253Xt/G7IHcG8wAhb+TixRXBEj8v sN4xMzxjhYKVVAW7wfSgfUoFtfYBPQbos46xn+h9IcSMUbr+bMJjYOy1gPwI R7A014lYR6XPeloQP+dZ7DgMcReij1+CvduC6l/5EsCaly2CI/re0aAbHFgz qr9Fn74ln04McmnaopcY4HgQbRnnVnWpNhbwybxGkzw7WeAU2mpy2EDhMyI1 HgTM5lib7jY6gNTZnsYEw2rR6wut5ltUzg9Qqd5mwa8tirHW8g23qUxW+YGa Q9/itPWJvxyGnB8G5nlfCyJPTwTySnAXErmr8txEU81qSgKKqfiCYD44Yme1 nLiDH3CeCOAovzPARCBop01gokGHEfd2L4WuvLdOW5YwzzWQ7tAfwHCvuk/f aKPSX95ot0cBzo+ytU7dI+BGYTpPuExDI43ohdkI1waE63wJYtkJxoKwIxye x8ejumpEIfdVe1MUJwT4QfAdWLzGX2rmG1MwMer0hzht43ScPu523q+wqkkR AX+bT9cw6OqmIFqkfCB2dFeOEGeUO1JjDpqvplbYGw9oBKPxaw4D/OOgqlfy fQbO0EVf88poupMyiGhdRAmg4tbvlwqgzNyog6mYOzZh1z5zVKuOYSA9iD8A D9s4EV0DLe+B0ZfB+Iya0+0bYQhHdLh5i9Lw/V/DqH1fQc3eL6Hmvi+gZs/n ULP7cxi953OzkmcKrSyZzCtLpqBtnC4z2PL2sqTMrYNXFnTGl0tBTdhlKKgq 3Ma456Rv1d6JgYgaI/KrwEpxZXsQagzi8Md54vd/ZePC+c4ZmtfyrwynRDtF uPJoazy6Ww0lwCKqZNNLobVnsN1BbbPT7XWf67CZTsUvMLHnt4OY8wSAo8vY gLPVDgKc0HqZGDPqjhfY+1Lah5mehpl7HNhpK9WqiUf1CWkR39gntVH9CXj0 8qEz+WUR/fSp9HR26davoWTTV1Da+iWUt34Ola2fwYCNn8KgjZ/AoA0o6z+G Qes+giGtn8DwbZ8SGKWnwvB28mZMC1r8GyDBK+A2St3GZsOkXBRVvsTCSFBV 4CePwRINnJoJw0LCNovOmCLM+G5CWIrgeeFLrsFyvC7uSglBWEz4sZh/oEaY 0xismQHqosHwVSMjzgxHsYVLSm4iktgkDFWFTbRtcqcmUszMQpDZKOiEKAHq nCW1vk3YI74N+cSzJeCOv0YZVVF+CrR5W08lQRSxhel1uYMufk0hoqto4xdQ tO5zKFz9GRSs/DvkL/sE8pZ+DPlLPoLCxR9CyeL3obTpPShd9C6UNb0Llcs+ gAGrP4LqDR97UL3xkyScne5AxuyLWSUfP4d3MboEw0QVH5b8hnrwN/ip6SUz 9LPoJc1hEsOibhZ9KfrrwpcsNAUlbpzIAF70krVcTQoQ/I8H47Y7gz6RAp7U BWvFp5UkYKj+C5Mt020TUXUAZtzH3I/ZOxw7oQP6aLFMuGQwU9reUDmQ8XRs szLhbZb9d6uLk8aYH3ihttK1kg4hqHyP4zXzCkCGy1Yxm/xC1dZvoGANwmUF weVjhMtHkNv0IeQs+ACy570Pfee+B1mz34HMmW9D1oy/Qc70tyBn2puQN+st TIEa3k6CR48QyJzWabu0FEGCggfR1mfQJHg6h/ZN3JW4ZbcTDQEDWxblUwdQ SbUgTHGwgWAgwYovCfa97KTNg7jOslAsre4LU0dIW/gNjZELULoJSNDIZKzm Z0uGgSQiFiYaDJ8ISMwyOGcMUI1KPBkhJhyPsuvRVcn2LXiVBIhKWi5TYSL1 c/k9KXQYv+xus77CuVVeM5eNlcxZ9QXkNn+MQPgAgfA+ZDe+i0B4B4HwNgLh b9Bn2lvQe/KbkDHxr5B+7xvQa+xfoGfN6+rU2yOgR6cR0Pyy4zl8gkGUVB9h hhriit9Kkc5nTbd3Fdyf/Gt3OtXTUpYqoghfMUVZs4MyPqMmMAJxNAJI/gaM lRdg3y4CM4ktfdydnYhrBLLWgxupmLs0zJsECxLXnRtb4ExH28hYh3r5lbUS HEelDzGuSDFvVtb3UJVsN8POZ9pOzMJaZSLy+iz/CjKXfApZ8z+AvnOQxbP/ hp34Fnbim9iJf4WMCW9gJ/4ZO/F17MQ/ddiJp5+4E3VdHyo0hXTrq9IdH4AK XfKyGTI1rsCjT8zs9g5DrRkfEJRmDEU32np0QYOf3zr4mRz0YyqkTcdEei72 4TyU+d8IV5vsqL4cdroEBSHRp+3PRGPON0sn3rymtxDYaIbWUe+wL9dj5vZj k46futNutDPl+nLWUnl5ER9YuPkbKGz7Cgo2fAH5az+H/FWfQu7Kz7Sfu0P6 os8ho/Ej6F33DvblX7Ev/4J9+WdIr30d+/JP2Jd/BI55QJ919Z1Os7AFtYiC JEJ9Iml40075cYnuxGAbU71EfsT+p8gSP8WEg8HpRLdmQ7wYXYELqg86KwVJ h4RrMB0F7sqRiGEesY5ufM9MZlzYjGI0CNfMMz31Tijn6fw60VFuX1qu78zF CtH2DPPSUI63Ijx6gs6z9SvI3/Ald1EeddHyTyC35WPIWfIhZC96H7IWfQh9 Fn0C6Qs/NWxPr/0T9BrzR+yh14J+SSTbt7vcV3HaRq06e4R0WIw0bjyLMoX+ Uz+/LOfiDy36AxXq0ZbZ2pQQGDVgV8wH0zVmyrjnskCX5iYG7iG1i9n6VNak qQKZBDP3TpsJAylEOqlEwyTL7Lh9dytGwkWmNyikaaPe+ALysDdytTdysDey tTf6zsdwpgE92Rw0gnVvQQaSp1fde5A2631Im/YOpE180++oTxL4E0xqySOy gsOX/Q5IsPK4ZQVqDNLyW9dKkbJ7qMrbWa64c7Dp4FTdt+y3XH5w8Cq6uFlt 63QLM6ZnM3C/9MKgNX2lHdU2bsrM3qhJ83WxCdsfm1gXcWJtch3Nd7hXBEzf 532FOhLO77ZoEy7mrP8acjEZyV1B3fARd0Nf7oZ3uRsysRv6YDf0mYH2ayra r0lovyb+GbvhDUirxf+jO2TIGZ3vDWuK4/TVD9FtN9rGbDdFoeV3+JV6MbFP eR8ftyngQ3f0Ke2V3ouUvhyVjorPwECwt3kxR0qgePUlrDWxWDKo4dqsoq12 JQS/idVXP6MvKnb8zFkcWBLZmHQrv4Ss5k+gbxOqewGqu/FtVfebqO43VN2v Q/oENEa1r6FBehV6jvp9R+qWm1r0BuTwGVt9Y9ny32FY3V51UdqqN2//azfp meX2h+UuwncFCO9uFd2TFI3Ou1cLKhmVnREoGvqssWOdxi3onVH8CBwOxfID CyTvPCedd2edF6oUbAlGynMwUcrZ8BXkrPsCctZ8Lsg/DTIWoAdGJPepQwST Wqf9GTIm/wnV+kdU6x9Urf/JR4fp9awT69XRCOknlbbRJB1aFKSqsh3l0vGe aH+5ovdBLhd1OfETY7ExwA302itRr8bA91kD5pn4Eavf1lD9npWsX/5MKM/R N2xkr/8Kstd8AX1XfQ59V3wKfZchWJs/gqwlqNEl6DAXf0qP0zH3qqRPeE0U Ovb36Dhf0XDN4OK7XVZjN6uMuBhq/rr8FXvcK6DfcMu9/UiSqUmb/FnEhI1G ecR+Otsoz2F/EFLqK610oJlfkUxPKjuHVUTxo3lict91X0PWauTxys8ha/mn kNnyCYbyH0Em5mWZC9+DzPkIvIa3IaPhXeg5Fz3YHJRZ6MWmv4m1+4sT9SWC 7pxOaEsgtAK1oOJZRSTzVL7htps95HBI0QA2a2J1LVJjiVjr2RIYSydj9vTl YJntZrLO5bxVFxPwozgpfaJnFuUjR3NXf85wymz6EHqjx+/d+A70nvs29K7H vHUWpjwz/gLp098weoI0tIFp4/6A7qZjonYCYaqcFaQDB0i/EyClWOU8mwQk MONqtNBoRvB4DmYlaWmxzF6TlmjhUS/REmIH9eQ8I988Bor8C6b0xivwYrQ9 8qZpetR2KcZIRWtpyAcj1aUfQDZ6h8y5f0PNYCI4BZOHSWi6JvwBet77Kjph lNGvdASk73WadgoiDHlWvJK8z6Mts+HFEM2YxaBpM1ELs01gKGGMXZBolmSt 5KE5j9WTwrjJ0cWG9OhkepfwQNTC0D0mXe4BA2g51eYvod+Gz6B01cdQ3PIB FDS9C3mNb0H27Dcga/qfoPfEP0D6uP/sSAvndloLK7HFK7nFuO1um/1SSLO7 a2lpU7/EdAhMzG1uik9YdbxcGKMvtqS33UE5Nrc/NrcaqTEcO79mH0Dt/QAT DwBMOwQw6YB5pGMMChr/Cjmz/gSZk34P6WNe7pAC3+9yO1Noy018JaSJPUwT R6DJmo0ZXyOQZRDcngNZehMMOXZqagY2MwubmYf7ixHi5ehIqpDxgxHTw7d9 BTVbP4WxWz6CYa0fwoC1H0D58nehuOlNyJ/7OmRPf5VrFniMH3WiMVG3MSSs sddCmiL5mo4Ijn6fI8Je6A96Y/f0XaNNOhMK0Ijl8JiM+ljsxUxkdU4z5vjN f4dipGP5kneg/5K/QlXTn6Fk/uuQP/s1yJ76CvSpfYlLCZsR+uGJG8NVeCOk 6mfYX/HMLNR1AcKoBFlTsRnMPB2pndRPXCtEa1NN7wpGn53diKnT1DcgY+of IWvK7yF38m8he+JL0HvML6CDqh5f7++FVFBCpFTRbfXb0GsyWvaFX0Ee1rUE 69oP61q83j7ndfb9n8DEze/AqOV/hgEN/wkFE3/VUV1+3OW6nK29nVb4J2ui +4x9D/LmfAbFK/E0rE8xKqgcO3ok0m8K0q4OKTcfg4fmJ2wCPWz9R1C+6C3o O/2PHRmVn3S5buLVvwNpPY9CWu5Ltn7p1X/FjvkAShd/DtVYr1FoHsYjZ6bv Bpi7H6AJ67cC6zfLrCgKSHJelythHhGRduNB6Jv5HJQNetWuNOxV9irkjEFk z/sExmJFJmNF6lBJ89E+NWNFlqJMQGSVr2Tihw1C/vQkKxSDXhdtg7KfH4Jh pUdh/NjXYNa8j+wgRU/UVuGwP8LwOR/ANLQsc9CqLMKKLceKNWiOFVabrqvn e9pHWVfthaqMJ6F24K+hYdpfYM2Kv8MqTAUnr/4GypolBKisfhVqZ70LDRgF LsUardQRkLBpOf72T251ElPi90PqIm4rFfJufAgG5x6FySNehUVz3oM1a76G qS1fQT96cEvd35NeSR02wxP2IvkE/J64MuJbukHxnYdhROlLMKP2DWhe9ClM X/gFVNI83NRP0LC+2qFv8kP2HacKH3Soj27Q+8qHoSL9GIwd8Aeon/o+zERu V9Ho8fiPIW3Yq5r4gRrN+Klf+PvaEdk3HoGBOS/DhOFvQt2Mv8PACdjmmo8g beDvoYN+D7uRoItX/wFvU6DwzhdgaMlrMHXcB1A9Bq869ENIK/9P5W77y/wD Gv4DLajXFU9DWfpvoabqLRgy7APoVfV+R1DjqzIQf9q1a/1Q9ZV5w4vQP+eP MGzAe5BR9m6HzZP4y3+4vr7+oXHjxjlldPqS4uqikHfH72Bw8d+gT/7bdAkO aKNOj7715ptvmmt39RrmuOJef4KsrLc0v2rfHL0UNeX3L7/8sqP+Ll+q9/Wv GN9ibzd0L6WW8vmDBw8e2bVr18lc6ie2l1NDLqD8f/21116zXXPSF0jpuAXU L482Nzc7KQcrkFr1Pv4lpj8nvig/+zLqBCN0gSN33XWXxuF8Afr+m2PHjvER 53TtAv/aobJOM+2g+lPdf3H48OEnNm7cSL+SIvkz/k6fu3rZfwm57BlWwZEo 4xv/6P8jFRUVaquplfSVv519EqoMG6J0lqawKqmt/E19FLWT2s7fEgbfTnzR fw65qBThczsMhcMu5QU9TiblZC7P7t0Z7fJNnzEWvUCplhRhTtEdyPWo/A9D LvXTkBMFFMw62k9WxL0A73da2vWL/lPIicIwtsIGrXqBOH2nHjYXJntD557d mWv9JORa5wZdZJBjGsMoMjZPLQEzqksN/HHIRX8QXNQUqBeNkYYNrkgBXKFO tY4L5etc0ZnDfxhSr8s7fR3nRNYLbS/tzNkS9qS4lzWl2NI6VdC5IfUPg/4l yYV9FFIYkzLakWe4uDNFnBNyYli01KnCzg450R2dcLTWTlkdtq/DoOqyzhTB LoVLuLEzh5vnoblXvL4zJ4al7Dd0uoJJJ3aqqkFYf4tzeNJBYRAMi81v7loR YUFoF2txWkgRt3atiLDY8bauFcG84RLu7NqJYbHeHU4RHXZbGFP12uxUfkRH /ybkxDBW/lxOZMv5Qzr6UMiJvm3jPXJ4hj18Xcjh7tioHK9uRC82yNZyVkcX 64R9u10Km2mrMjiksDD3nFw9p7A1trA+TmEJrjBYEqytOWBbc6UW746MdGBZ taNfstc7L6nyHaUbWtEP7Ilx50QTkvE+36kjn8uU46cxcvUznZ/6/5/zOfKt /xf5Bh3e\ \>"]] }, Open ]], Cell["\<\ How do we show the actual circular geometry of the cross-section of the \ sphere? Lacking a \"PolarPlot3D\" function, do the transformation to \ rectangular coordinates by hand, and just show the relevant regions using the \ RegionFunction option in DensityPlot. (Look at the details of ArcTan[z,y]. \ What happens if you use ArcTan[y/z]?) Note that we avoid the point at the \ very center of the sphere. Why?\ \>", "Text", CellChangeTimes->{{3.4439370910625*^9, 3.443937111015625*^9}, { 3.44393715375*^9, 3.44393731859375*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"temp", "[", RowBox[{"y_", ",", "z_"}], "]"}], " ", ":=", " ", RowBox[{"50", "+", RowBox[{"soln", "[", RowBox[{ RowBox[{"Sqrt", "[", RowBox[{ RowBox[{"y", "^", "2"}], "+", RowBox[{"z", "^", "2"}]}], "]"}], ",", " ", RowBox[{"ArcTan", "[", RowBox[{"z", ",", "y"}], "]"}]}], " ", "]"}]}]}]], "Input", CellChangeTimes->{{3.44393633390625*^9, 3.4439363701875*^9}, { 3.4439364315625*^9, 3.44393644946875*^9}, {3.44393666940625*^9, 3.44393667203125*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"DensityPlot", "[", RowBox[{ RowBox[{"temp", "[", RowBox[{"y", ",", "z"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"z", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", " ", RowBox[{"AspectRatio", " ", "->", " ", "1"}], ",", " ", RowBox[{"RegionFunction", " ", "->", " ", RowBox[{"(", RowBox[{ RowBox[{"0.01", "<", RowBox[{ RowBox[{"#1", "^", "2"}], "+", RowBox[{"#2", "^", "2"}]}], "<", "1"}], "&"}], ")"}]}], ",", RowBox[{"FrameLabel", "->", " ", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.443936900203125*^9, 3.443936901*^9}, { 3.44393711684375*^9, 3.443937121953125*^9}, {3.4439721621875*^9, 3.44397219509375*^9}, {3.443972255234375*^9, 3.443972257234375*^9}}], Cell[BoxData[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJyNnQuwXlWV55ke0g0DOE1gKHmoECIaatLlA9IybXtQEwQcLElZOk5opBxo UbiAEakZAYmI00RssCOkW1NdCKTSAwGFkNyQBxzy4JUHkJsHeZFcbm5u7uu7 x0GNSnjM2Wvt39rfXl+fdiyLL/+799nPtddea+211z7tq9dOv+JPDjvssLuO Peyw8Dty8dL3/mDk/37ixuN/8co771Tl3u6uXfX/y93yO1LOnXjBnIkX9Bj+ meDVhg+T/z26EvxDTS/Ad+r3hl/R8g3fLel95RPy5wGrH0z9YOoHUz+Y+sHU D6Z+8I+1fsP80i7/S/vAtA9M+8C0D0z7wLQPTPvAtA+8WNtnmHH04+bbCfa/ tB9M+8G0H0z7wbQfTPvBtB9M+8Hbtf1FE915OvDj7vvhf+kPmP6A6Q+Y/oDp D5j+gOkPmP40rRtPx55u/Dz4fvhf+gOmP2D6A6Y/YPoDpj9g+gP+xH94ZSTw iZGLl9d847WnPB/w69KvA09Xfl58v+gPmP6A6Q+Y/oDpD5j+gJcGeKgy7PmY 5yt+Hft14enKz4vvl/+lf2D6B6Z/YPoHpn9NfNjzRc+H/Lr268LTlZ8X3w// S3/A9AdMf8D0p2kf8Xzd81HPl/y69uvC05WfB98P/0t/wPQHTH+a9iHP9z0f 9XzIr2O/Djzd+HH37fa/tL9pH/J83fNFz1f8uvR07OnAj6Nvl99HPB/2fMzz Ab9uPN35eZPyT3mlDH+c8kqr/BMpr7e8cE5IGCr3Sb715TUhQ3ervF/KW2T4 VsUFeLPmN3ynll9Q/pvvhP/tLSif8QefEeCcfvudoL8FGPoC8x3tPk9xAWZ9 gWkH/aad9PNqxUVTv0lvGof1AZ64qBjR35Jf/u5/Ka9pHEkH037GdYfiAsx4 MM6MB5h5B/tx9r/QJdiPs68HegYzzrTTj7MfV8bB9xvs++3nmfXCOLJewKwX MOslo9d6vYDpH+V7OqS/jDvjRLqnc8aTchgn0pkf+kU76Bfj0NRP0pv6TXrT OJDeNC7ZPLTtX35dezrweolf157OvF7g17WnY88v/Tj4fvt++n6BX5Vy95X/ Tr4btF/+fpfkHy4+I+17rbhKvttvv/ydfJ9VXP5EcUk6+Fr9zn53aD0F9VIu 6XxHuW/JeBwofPua6qVc6uF7MPVQL+X6fGDqoV7dbsaKp+T32RK8SNLvNyz8 sGtF0Vv/3vDRl2WdTfrtWMl3SzWf8tOuFYYpBzxTcQGmXPAvtDzD27W+gvr4 O/VO1L9bu3y9tN+3i3pJp13UQ72k0y7qoV7K9eX478BN4+THhe/8vLBemuaJ 9ePnDcx6AtNP+kP5tCPTW2rM9+Cmdvl2+O/YZ8DsM2D2GTD7DPj/t53wu+Xy 9222D4HfL/xstPyvkm+HtYP2gamP8Wb+aCf5weRnXslPPyiXdoKZL+ohP+WS P5Nn6vzUQ38Xaf+M/4Pp71Ttb8E4wL/B8GvGRfn+aEE55AeTn3LJT7+a+k0/ mvpJe0+V3y3WvqZ5pT1N49DUTzDtpt9NdABmXpmvJjoAk5/5ahpHMO1hXJlv Xy9/97/IB4zfB/W39HQAZtzQc9iPGA/mifUGn/L0xzgw7mDqOVy+f9nqYzzJ DyY//SU/40l+MPl9e2g3+cHkpx/0i3TGl3T0M8pl/BgnvqO/YOiAcnx/kGso h/nie35ZF2DmmXKpl3KRt8DMP/X4fPzdzw/tJ923n3Ej3Y8/7Sad9vp+8Xff H+aNdlEO/SEdOQg5lvn19l7oGUx/yM88U57X/1mX5AOzX1MOv37d+XzQGfI2 9A9/ACN/Q++kg0O5rZOekfnovasqeuTvc0Sv7u6qil+JHFgWYMbT81nwNyTj qzZv9JP+gD1/8X8HQ2d+XDyfAjO+vj1er/HyubdDIEczfmDoE7mZ8QTTbuad dkEvYOYPDP17OqE+5HLq8/K810OR32k/mPFDH2L8wI+H/w7sEb729LhRk89Y V2DoCww9gT1f838H6zhtLqVbF3TKeY4+yyNkHp6O67AqoVfwdMUFGPoFe7nw F1p+Qfk67psL2sPfaQd/9/UukPK6KaegXNrL+qF94FMErjVM/f+g9Vg7fL+f 1fqsPZRLe6mf8aU8+DL1wUfBSl/743gdsHWHvKN8ezTy/52G/738btd1dGar vC5k/8LOxK+ifKL03CoPyby8YvWpHHOgQ65aFvpRlxPo/YYzWx1yjpdTtfz9 Je0nny+X7xZre4srtb0F39Me2km7H9P2yPjU7XHnzZU7X66s//Ax1q+XbyiH 9Us68h2Y7/08/melI8PQC3yN9Yq9BUz5Xn5CTgDTL/gn6x07EBg+BKZ8cNO+ 4uX330v6S4aRd+BnrGPGw+P8vGiz0Sn1MX7wdfgx4+X3cbD2d8B+4fPUO1P3 G7OXkA4fJ53954/psewrfh8Am/zkys3t/i1bn+w37ANqN2oVPh15w8sptn7i eIHZv/geeQz+dK784wWjB+aL9n1dvtta0B7Wnd/32BfB7O+MN/2gnD+2T1EP +ZHzoDvGkXEN9svLbx4roSv6j1xEf1mPYOiN/MgD7LseM75gxpfy2DcYb9Yr 5XvMfFAe6ZTHvkN+1h+Y9cR4MN6Mv7ffevo3PSvSKfIY683LMWDWmdqN8X8Z jnyyt+Tv5KN82rNC5RmR+8pxo9Z/6J99kfkkHXonnfkUrvpGZfMDPzkkvwst f0+UD8DwO8pnfKEbv+7Ano7Y973cAYZv8B31sx9QDu2hP9AX+adHeYL2evpB bqQ9jEMsz+RZ2rVCx8fozdttoWf6Q3kXyQebOtYV33m5Bkx54GlajmHonXmj PtYFmHo/r/zL6gWTTjlN80Q63/v89BvMeJHfY/gp5Xv50Mu9ub+I+rvM2jkU 15ueywfMfogcghyFXIQeQbrIUTuHrFww5Xo9BLkKuY98YX3eUn8H/4Xfertr t5ZfUh+YckKuqReNmV7I/sJ8f1P3GdsXscfAj7ze5/U86qW9tBN+AIaOKJf1 QD+wfygf2m3yCfXAN+GjjIu3s2bnsm3+aMiLnLexD8Jf2X+pX+cpyYFNdrZ8 3+60k1l/Ix+mX9TDOHk7BvzOrwv26yY7HnyE8uBP8FXW+w3y9422/9Ju0llP Xs7w+xyYfc7L5V5upx1NclST3cbsunF8yN9kxyE/dOblMsYFPkK/m+RoymN8 m+QCbweDD3s7rLdz/DE9w6fzfZNeAGZ+vBzuz9+9vOb3GdaTt0OB6Sf5aTfp /ryddpOf/QhMP6Bz6A9+4u1q0B/j6+Vy5nt63Meb5BL4ELhJjqQ85R/DMb3X 5DJ+SUc+M7qM8wGfgR+wjukf/EL5926jQ9L5nnTkQdpDP9ifwX+r679RDgJD 78wbcgTpzCPpfh75bT9vvmDOWPltyf+M7c85X61Krx+zTpUMOuUZ2gkdMz/Q Mfm8XkH/fTmk+3po/xXa/qz8+VuSHwDfe7kTTD+oHwy/Jz9ykJebPfbjAmZ+ aI+X+9pxaL9fx7QPOYv1Qjr8i/lnfXk+4OnLy7ngdvqp22Pj4OcR/gOmHjD8 g/UPHdEO9j+wt7P6dOgTDH2CWU9gb1clHfrO/RwPmJ0NfublMDD8AD0duadJ LkL/h08wLuxvyIV8D/bn0aSDSacdlO/PhTwfp3z6yXfYT8G0u6lecN6vnYa9 nZJ6+TvjiDyf23lHOs6TmG/kSTDyMeuA79knqId14c+F4fu5Ht9vdhbqA1Mf fkjkZ/8jP5j8+EN5OZr62ae8XRa7APnzc7RR03exFzEuXj7ydrimfvJ35HTs Hrndr1Wit8B3wLQDvuL5OHoM4wPGbotdEzubzwdGb2Bc0etoN/2g3fTD+6X6 eaMdpPtzLe+nCvb+l6R7vzX4E/NCftpBfvpFO2iX99traofXF3N7cZ+NJ+WQ Tnm0y/v9sf+wv7FOvV5DP71cu7NOnnLPmJ5fb+0xeYNywZSLPAg9kw86A3u/ Vepj3Ztfnfxu6zhv9X6FrDvWby4PPrrS/HNiOymPdOR/2se6oT1g7+cF3/J2 dNpBubmfRMvsP6xHMPNG+72d2vtpgpv8MsGMF3+HjrS9m0zORG5kPuDTYOib caNe8jEf2F2Qz5h/6Jh06BZM/9kXMztRTQdg9BvqZ3woh3zwbzDzw3esH9Yz mHXHuDFe0A/98e0Cw5/Yd5kv2kc6/aQ9jKv5acX6GFewv79B/dTny2Oder0Q u7ekHxwwuoUvgfN7MwMqVxwcsHXn/a29nuv1Wn8uAEbuZB0iDyCvIOewjvw5 treDMg75vYbBOM/9No9+P8SeA+Z8ScsZLN8WetlXUB6Y9Qadsz6ZT9rr9RXq yflVy9pNPyjP3y8gnb9Dt7TH+3V4P3ry873fp73/vuc73n/fj4PnQ/4cukkv YbyZL13nQ2Y/AOt+8prZhaHTpny+HG93QL4kv/LpIbMTkI4egv2C+sF8d52W Y+0Hk049lEf7/Xe0j/bq+nvZ+Dfrh30r/r1A//Z+LtAb34FZP+gB+T3szbb+ vB8C9gLqYTz8ubgU/z09F5g+bsTolXLCepzRs9v5PyR/kXa96YTvRP+ao5+z etvt53W6+tMc/Zyz++105wjpnP5UbV9xqeAni/MlXzpP8ucCtAtM+uNS7h6j l/O0v0WuX2w2PQ4MP6A8z6f8OXyAUy4aM0z9rE/GW/1r9pe5P1qr9H7XjLc/ 14Yucn/MdA6S8/Wdhr+u82n9IH9oz+QrBjrObRl/9a/Zb3wIetyp/TU+4f3E kGvByFfMo/KddaW3Y5Mf/g/GHkG/WS/IxcjJ+blNFccH+8U6o0/KoT3K99YV 5Afrvro//v2AjXcmR7wZ/aves8vSMznkzeg/9Z5dVp7S/QGbD8rr1vwF5Xk5 h3TKgy+xnyCneL7F/kE6/C7896KaLll3K3S9GH9Tutsa130tn8Z01hP7KfoC +ymYfHwHn/yd0NNzZp9kvP25DeuX9lAfdEF9YOQT+AHlK32uMaz0tsbklNxu 3lv4cwjKA9OvRTp+Hfe/GH8w48339Mfb1UPtU+t1BR/x7eYXu6/KPdzLXGP7 jcPln0n7n7fvWQ/Mq09nvYJZj4Gv9B8xrHxjXp/5JcHXvV3N+90vkgLvNz5G e5l/xoV5h6/Ax+D/rIuZWl7HeRj5sc+Sn3Xv5x1MftYx7YF+w/7/4JIxWVfz 3tpk+wrtpTxnfzd+5+eFX+zw0Lf3K6K8i6Vdq2zcPqnY6qG8X0o5L9q+6O2P YOQ76BUMvSq/5L7rNpPfyQ8mP+uGdqOXgPN9eleHHXW8EMqtcX+tOuyknBuB KQ8909u9vV+kt4Oz3pEDkYO83RK5nHzIgV4uDP9dO260DPcGDw4kPoleu1PH s9gjv68YXUPn0Cnrj3Z7fzvWI3II+hF0A/ZyM/SMvn2ntlf2pbq9he8X4wX9 5fbPYZNHvb8T7eQ8xmPyc75COnZPj/P7AZs77oN7fQB5l/7nds5B8z9hXsHQ M5jxot/MD+0G5/456XyX+nM76aD5u1AfGL0MTH+8ndTPI9j7wTEftBPszxOb +uX93pgPLx/7+9mMv9ezsOOQjt7OuQbf5/3tt3Mnvifdnysjz7GfQbf+Xq33 t/Z+cPANsPdrY12sELzQ/k49Uv1NyW8MufO/SfuWmVz6XfnwyQ77nz9XBqMP kf9jWp7JrehZ6GXonaTzy3k240U+MPKZa19B+8mX3aO7qbJ6KK9dLwx6IPIM 37OfgZ28Y5h5Iz+Y8QUzHnzvxsvSqY/9E8z+7NMp38tZtI9+g5F/3X5tmPyU 7zH5qY90WY9nP6V+ms9W7n70OqtH6XuD7B9Hnq36edfnN1i6ruMNRX5/ep3J ach1uk/i/xXvh+wajedXyc+ac0rSdZ/eXvA9mHTdn3bY/u/v4Xo9Fez1WvRx 5AB/z0X5BPmSfk3/wLRf+TT32LYXfE97kZe1XVutfexXyO2mL0h5yY82O6ca N2L8BfmI9AmabvsBdiG/btnnvR++v19HOuNH+5CnwE1+POxrpHu/nfy8tL/0 dlqwlwPI7+24YOQvxsPbicHeL9zbjcGMBxi5Hfsa+4W3E8NnmC8v58O3vV3Z +zFhFwFDH5SLncP7NYKVvntMb9Pzwi2GvV/zIi3f9h/KI937gXAeYN9rfUb3 Km9sNkx+2kc6ein2A7D3g6E/pNMfMPyU8YEfgrFvIz/oeu03ew1Y18MB41/b JP8rwtcnf1/lyilPbjd6Qp6Afjxut6sFzHrRdnAOcMDOD5BftH7iDCWs6+pA wfekN9278/6afv/xfuOkM36kw0fgK+xz3s8LOdDvi97ujt3cY38fK/xOvoLz gYFIL/s77mnxd/IhT3r7TH7ffbfJm/Bp6JX59/sZ+hjj7O3sOV+P5/E1XbM/ UN5ipSeRw2t6snSv78HP4dOsS8pH/kL/ph+U5/cn6Jn9z98La7+XHOicdkJP /l6l55/wV9qRr+8dNk7oj4w/dhOvN7NfkJ7HQer0c/T2bu9XCD+m/Nw/bLfp R/4cA/r150j+/pI/FyL9tDBrB9P9JujX+9X6OAXQv6+H8cBusjL83L9X47Vt GrH9inTGC3qVYtrkUvYbxg29J4+zt8bo2vu1niX5Fxt/Efzu5WX4mb61Ko/X 9MhfE870jU9Wuf/FJ9M97qZzFvZp6Ay683oZ7YMv0Y5e+e6XHfdWaR/5M31h ezpfYnzgi/QHesMfKcAHl4wV2AP/XNe1tWebzNcCs2dBp6Sjn9A+2gOmXvRZ 5HUw6ez7YPgHGP7C97ldpjK9hHTWl7djY0fx56a5P0Of2T2wo+l962SXYT35 ezlK19jT+nRf/FGMz/DpfZau/KqvIH2Hpts51Xatz/Yb9iNvp6S92LvY/9lf dR3At2K/fxTjR3w63evFXkN+2kd+2ifSwBHDuv7n9RXeT5bxpT2HpLyF6VxJ 0u83DF9mfvkOPgHGToRc6/03fJwL0n2cHeRa0qFn8BxdH+bHhr18pq4Py886 h98hf8MP4ZuqH+BnqfFdan5r6fydfPk57i7D2JsZL9YL/IX1xDqAH2L/ALMu GC/kINJZz2DkLbC/R4L8zfiRDuY8gvp0PjdZeU33pBhf0sHwN7uXrOXZOOR6 aNqHvf0vjwe6pvDyOpjxg9+Bu7tyOZN0MPsY9O/jk3o9i3T4O98zH7QHTP3M J/m9nOvtYswX48N8+fsJPt4l88X4MP/QG5jxgS+78ejg2yt0fDr8I6kP+qR8 f+7JeFAe2O8Dmf0pjVfJ/sf6ZhygO/KVUt6Ltr9wPgV/Zj9AnmTd5n6JnX70 yKsew0/Zb3J/+ZbJ72D4PnIP8rm/R8J6YXzBjGf0Q9B2bk3xzRkHHZeeKL90 3gueq/KCjW8THwPn9+KGzN4Mv0Ae8fId9EL95EduIj/jg/7C+RX6Bt8bP48Y +qc81h/2HvR1f08Z+w/6sr93zHrx5SFn8D1yAOsaOc7Jq2avZ/7Ix/j7e+Ne 7kL+RO70cpaXw3xcDfgL9ZHOOnLpHX4xlA9/8nEPXH9s3+N7+pP75azukF/5 Hv7i7eWU5+VI+E8e13NNRzxY5iOPf7ChzO9dbTA7jvit3aR+j0euTXYT7Lze bgvGznKefm/2XvR3f87IOvB2L/QT7KnIR9SHXeEMbV+J3w/07O9zg6Fb5Dzs rd6vPr+ftNvkbfgu8hT7Pfwwf4dg1PwW+N6fW5KOfE8/PR/xcqWXIz1fAvtz +Sa+BEYPhA/J+N2/V+Owb0r2Wy8n+Lit3l/E+7Hl++X6Dnso/Af+CD/E3oj9 Dgzdsc94+yHjgD0Q+yEYuqce6Mufo6FPsU7Rc1hn2A1yewnnsPsNQ6+5f9IB w/l9q92l90ODXtHrsP9zvgtG/yI/ehTpnPeCoYc8LlSnHdzfA2M9+Xv57KPs 72ZX1PSOe/nkn675TX9kfPy5Pu0H5+fVnfdMWM+MJ/uut/OBsWe1++0G/gd9 6Hz0xnEZFr+U7q69hn0cA/Zxv56b9D4f14DvvV89+dH36B/yC5h0H7cB+52/ V678Fz13JMrfrxrme3CTXuz1Zh//CH6JHRp9E8z+49eRzwe/wp7H+PhzK++n Ac7jtLbMvpf7I79s6wC5O18nKR35xcclRJ6hfvZD+J4/52E/dPKQ6WO7tHyj C9Lz/SnJX+z7jIfXq8DoY8gftBu5t0kOQy7xfkDYebDj5H44ya7j01m/pGOn gh+y3r2fUR53NPkdUR7toTzvJ8G4er2b/jLf0DOY9cP4w9fQZ8kPJj/jTv58 PltGl96OmvvtD5kc4+UML4dg/2Z/Rz+mn/7cinknHXsqGHma/PQPOsO+4u0X Pm4//aQ8T6/ezgKmXNYp37FO4XOc2/h78bmfxbBh5D3o/2QpeJ7pKfhVIsfl 7/mle91zBS+w/ufniy13vujvYyZ7GOnQdX7fd9Do2ssB2p5BW2fUz7gi5yD/ UT/p6Beks568f1l+XtxXeP8yMPqr1xcZV+iNcUd/Y52G+V9xRdIfoAP2a/TV /J4f95LTvav83hj3mwfTfX5dTx1xKv05HPQIn2e/Yp+Sc4yfD0h/61/bt7w9 lu/Ix3fse/n5baddkHWGfcbPS5OdAH3Jz1OT3SAsg9YD0a44YY2dl8NfmU/4 Hdi/30V+5pf8YPI3ycn5PYJkN/JyRn6vbLe1A8z6zd93GzY9ED4Apvz8nbNO OSo/Jx2wfYnx9H6YzIfFT5PvtjXyJY+RF5CrvB8F5WH/8/FBm/gk35GfeskP Jn8+vltsH/R+ILSDc3ddVyn+JfTo7Vh5HON+Gx/owcfJ4PwavghmXVMu6xGc x2NI/i/MG+sRnL/nlPxRoE/v94P8h7zJPOXy5GhjnH7vF8f4+jiBjI+Pp8I6 y8/ZEv/O7+O37NzAx5FFPwipM24ejXLsLtMPcv1rpMjHLZ07wf8oH77CvgO/ w47FOObjl+QF/Kj4PuePfc5/KMmT3m4n8AL2qdUdcQzb45yHeQDn8faTXs++ nr832zL+xbryei10ltvFkt8U898Uxwfs/a5Mn4/r3K9rbwdm//P8Ezxd8Byb R+Q7MPJQLk8Ml7797BPQF+1mvr2cp9UmrPM2ZvOavzsx2BD3ZqfNl+f3OX8/ 0EFH8HfowN+jZfyph3r9Pdk8HtwW8y9lnNrvmaZ9anvkTyMdchgYftp+7yrd Q0/8MY/jkvgfckh7nNzQLx/nKL83scvOn/g79IHcNE/yzTN6yOPZ9zu6HHDn VQfMXsx6xF7MeORx7jvjdOTnY/DrR1dibxV9Z/6yxnvlyGn8Zu8pLhnR+wnz l9n5V/a+3xL3vl+N1T7FvbHhyP+IwzNsfyef9mu48TufL3+HM93LQN6WOHCL x3TcD9f3h1tfGbF9Ez2I72UcH4v0cWW0Tz4W/Y+vHCxOv0D85XW/+fwGu7fn 9SivZ4HHS/5bzQ4BvWT+USfo+XNrXbpnTPmS75Kq/NMw7Fe+UNIe/Pe9n1WY ty9ujXGk371c7S8n6Pl6XX7h2lO49ti9S/aRMC6z96dzLfqf+X3W4yL89awU J4TyAjzyw3reccPRA4WPIxDaO3fyiIznzP5es18sUr5rGD6MXQpM/+HLTv+y 9G2aXnJPVVZTm98NWH4/fsD0mlO1/fo+xNH6jnWdbn6ofO/vwYLFXvH1qIdd NSp+cuN/Fvfn963tuEcs/jFXKZ5Xfwfdsx4Cuu2hFM8U3P6OcD2eop/U42n6 GL+kM97wa3+v2d+jan93J8wX5aO/sn+J3PjmJj0fWjJWfk6xnq8sGStIBwd4 +KqqGA3F/6LUe0Enjbn4aGmdif2lzifNXJXiZpAvlldu0PJ0v31vHOefJTlI xmNBZX65IXvw+xZ+MDSa619D6f0e5XdDcf5fs1/+LvPVH+9V1uN8hmLlK/W4 kV/HOdrb+2P8kskjZodX+usrKRdMOuX4fNRH/dLsT1Z2jhXW7cyP6zntlI3p XTFh8zFf/Xddjx+v4v5DPPsxmw/sBewLfr0hR7Jvyn55xWsm58k6qOcZPtJ+ TyHQA/NHenZP4dTkd+PooXD0oOvstGifeiDFSaOdl+r3BfQE/UCPMi8XxHP8 3Xof/aIFKV7CE4rz+9IXp/gSYPgq65h1PUP2izuiPFiZnQx9B7kCfLp814p+ mPo+9sn1OCIPdyk2+Zjv87iRyW8TjL3N05nQxdd4j+Z546vt5wT1fqP2o3cv L+N+YXZ++DLfXR9+j3/ezhfgy+3rN9Sn5/vPF5drfjsvoBzoj35CT9DX+YpN j5LPH0pxV8HoZfL9fXH/Oy3eJ3kg+TOQHsbp8K+qvDBp4aDpP4xvmJ8XpnJ/ N9ntwneXbyNOo9o/a2ztp73uPMSfv9jfV0i9C02vJf0nOn4l8yX0d1nl4tul e6jkZ7zJz3qDLuAv0A040P/G8Xp/dMbdL5bgKxRbe1l36IlihyvHohwQ35eq 6Rn6vlKx1FePt/DJerxt/v19KuQl+i34a6kfpNNPnw6fIf18TZd8i67Tfa1n 5eaOuDXUR376Q/sDOv6+dB7DvNEPN39RzyHuJOfjxNEcdPdEKhnvR97ulLvY L+fI70zjL5y/EL8BOQo9iPNh9A+w2oPSeWrwy51xc4yncjNxOFR+qbHZVUgH k69Lv/fyu/F19GP66eX89nvQB/+00vG++KWOOEOiB1zTo3bf+WOmH8i+dniP e68g6UWMh+wDP1iu6Zt1vGt5wM5LQnemvlip3DlpJVj1zA+uLMiP/BD0mRve s0v34Tf1/L7GBbjdn++WWu4QufOMsfKNgL+5NY/TUfMd7HXwGeywovfcGnFX et9wguIi87voSvfwSQejP8O30EMXa/mmf07U9hSMB/134+felUr3zMLPlNmV nw/zh2W/2KDlFcxHfr7E+n46rsOqfE9YrVv0ftsJ/1zZ/DBflM/+ousZ/9rk 7xvbF+lrlaVLO85t6XlKtaMEP65Y5YRzo197nQ4mPTTj3Nn5OIR20C7Pd/P3 DxIf9vGckA8/K/tKn94X+h/D8v5e1ze3Kh3XdKV8l/gMGmey/9P79J7433Of Y5+dw/1Y0wufzjke6adpevGY1qf77xlj7l5wn9nf2uXZc3+T+KKs76rq0Ou8 3ADdNMk14M/oeAj91+Nh/af99J/2c16HPxH1I9e4eH9eH4p2t5fNX5Pz8ob0 0qUbneV0h79h53e0DzuE8I939Lx9/PnbSvjPhcpvSvgPGP4T7KazhtL7K8hV /h5vu39c0B/QJ36i2Pan6dpQa994wY12CLOT4N/k5Vjvd+zlsCY/ZS9Xy88F Uf/Yva5knOEfuh+tMn6Sx2+oMn+4W76U4qsK/12Yv9MUMPyKdQ6/ojzqC3jS Y5X9nXKhQ+hS/LdW6nur869L/uKMI+fM5IfumujW5Ve7Xi33/FjLN3rzcS75 3rXP7Abhr7O+pP5nQZ5DfkaeRr6T9XjFa2Zv1fXba/ZQ4guAhW6/pPdhp/9w h+VHXgFLP+4YsXhupOfnaSO6L39J6bsuz+yG5EeOE756X7o/Df5j6x49UfyN az1S6p01XH4g5BuLcVhnDRfgsI6uH63K/xT2sYcfi3JRVX5OynmkmCrlzxd+ d9kfquJKqedBk/e8ntp+/tf/xmBBfadrfSpvrE/32MJvz1zdHx65KD9vrL9X u9769J7jeZpf9oM6v/WP8gNdznhXZfc9vJ0UuoEOw59nf0vfd5uycLPJtfQP f78sHtikPepPd86o+vsML1H73muVxqsZXlJGbPEAcv/U5F/B/aaAbrmnMnra rfSk9PsXGs92xbwRk59Jv1vTZd+o0w2TP/R33mCil3eFZry9SN+lHKpsvu/U +bb5YHzDV7fdk96LZfyZL8Y7v29TlQfld67KUzVdyToarQroivEd1fQypls7 rF3S323Gb8HoGSJ/L9qm+8lIy85/OccReWzTSHlmmOf79+p+1T2SnYOH75Zr OWVTPWD4Opj9Cxzod+/bii//7DY7X8Tf7MfaHuETdXv03mj3SBYf7d+qp/2d ytA/yqN/lEf/GA/qZzyon/HI/fA7zj06/JLQj+A/rDfd3hN235XufMX4GfTD 9+Dw31r/Kv5n+MfFL6lddTDtD9TT1I6ZEzN9ILvfFPQf7yeOHIrc5v0mkeNI hy/B17wfOeUhx8L34Gveb5vyyY++gHzQFHejHQc9ZLLqJaW/N4Nc0B6Xo85f oMdIvZdUxcEwbV9Ldg0fxwOM3IAcgTyyVOURky/oB/oC8jHyMvoD9pBg1+9Z udnob4XUt9Ds5siPYZ2ccNJY4e35yINyv/eN5Nd2lWLz3+K8E78D5DlvJwUj 74b9tpZ3hc42jlc9LtijaCftQL5BfiI/9izs3tjBkbeQh7CjwA/A7e9p1Hym hO+IfFTL4UtC9lqOVroiXtKILqvuaLfY9bKs8/nL9N3RBXurciwMy1uLirg/ yHqt04uYrvamZ3U/mfSjTWBZjzW28cfOIXzlM9uU39fjtlPHr2D8SKe92j/i d0Q/ntv36Py8L8ZRmbRH9flziOuNH++IYa0/+hXU+zX5KR9/G3DmV1CXz/4u 47y9X/WR8yJf2N6v6+q8QaHX1x9QuXv8hDUF+zX7MXTBvLOvnSrt+7nZyXzc U/Ydx98MN/h3dPBR6AT/CfQr4iD5uEjcw8Fvg3sG+EmwXmgv/B0+Qfn4c1E+ OPTr0O3xvurEzbav5/eSiLO5teOcgb9jx+V+CfJ1/o45ceaJ/zLSMe/gPG7M SAddsX8ir+XnRs/E+1oJw2cZF/iitgO/3XSvMX+3mfOqZK8Ba3lpn/L7lu4/ +6J/31Dcn9I+BGYfUnlzX2xXys8+5Pcl3a+47zpY0B7SweyLKq/ui3alIduX 4ZP0Hzqiv2DoHH5ufhETVZ5nPwJDxzqOyAnp/jNY9MV7x+zeG3QPnfu46awD vy58HDH0CzD9oJ3cq/P37LiPzr09f4+P++Ssc/z8wNil4e+6L79o91jJh/0b rHT5YsF36Cnsl9h9kXfy+M37TI9hP8WOi/ySx2veZ+sVuVTtG3ttfUL/Gncg rYc8zm/SH6EvT+/QH/QNvfp3RDkvYJ3nfuwjLn7rBhtftdNstPEln9pfNtp4 Mh7ezs14UT/7ldLN7nz/m5OwP0dg/xeu93aKnyJy1kiS4yPWeK0nPSPf994V 7ct3RfvwSc9kcutFXUNW3yIpJ51jzJyYy9Vg7Pb+fbPFWp76jaxQ+/Heua9l 77WH9yxFPjhD4z7P+ubWsj98/4FVen5a18t3lIO8g3wh9PBQK48n+lCyy4Gx 48FfQvqsX6u96cEtyd4U6P2Fc/R+7PgN6ud5y4295k9HfZQHHQR8y6/VPlOX Z/YZzhXl+1er/N33V1Ve/vrN6b35CVp/Qf205zzFlg4O49Y7V+OH1+NTMl5g fsnHODZ95/PJurpI9Z3uufssvhf2iws1vSQdvF2xfQ8WOWlfet8CnPs5Dop8 2Lql3+x83i6KHZD9WfSDeyrdd6ZFO9+0PuFDM6bpO4Yzpg0bvlax8qFp0X9h Wp99Dyad8q7T70vKC82ecVnyNwFzDny19q/w9w34u/CVP1+V1l3MR7ofJ8af /pKfdJGnPpX8McCcW9B++k+9PbpBCP+76J0kl4Z+nlzTWdDbemq6C9+vmK3+ sZOuGCnBExTbfiN+a6dWZfv5aY1Vj57dr/vJ7Kgnz+7X/WL2oO5TF6f3W9rj PUzurrJ4D5OxJ1yc/Az1Ho6e703hPHDCat3HHoFeW3aPWemzVbT7yX6kO52X hXbOG3tN7Zuz9N27jYP7ZD1ddsyQ6neD+u5jOw7r6SvHDHWcy1Pe3Vqe9L/G hce+PsoL/f7nBcnvDD2S/Qc9z2P0zjA8p24bk/V58MR0voO8Jefereh38kjL 8PsV67y11K8ipKPXSr/b9GL8Ntz8ifxX6/sF+r7oU+WYxZ1y81vE9oocUbdX 183s3gJ6wy9I1sN+lbcOVSk+3zbp/wK1c/6u8vnN74jvkcPELjA12W93Ki5u D837iMr//Xd2fF9QP+eLsk66Uly5UNrAneq3dPJHntF1Y/d69J2AY95Kfr/t 8mT7uWXEZqeUn3rdsn75+2LFZlfkd4LmV/71rsrsaGD0Sv4eenl5/Xeht2t6 SvwfhI/UdB/OF14Y1Pcoa1yAST9dcUE6OIzzCfc5e9Z9yV5FOhj6gx6hZ+gj e0fknZbRD/Qe6c3uv0B/+BGRDm7XC1d8KLcn1NjsM4w/4/UTHa/s/kUYv/Zz 13Aeh/4odqa7KvtF/xO7YaSPG7p0n70h0lONtR8zelUOmaXnTa/XfFR/9T7Y I+9UHecc+PH4cy3OEbBrIK+rnp70bfz50bv53sfhwo6LX81PReCJ/lWXVOVs xaoXXlIZH4Yvn6b7l/krgNnPGA/Gp10/DvIs48d4teu3QT5FT2uPkza1W+lx yoTkJ9IeN7+eNzvHlfXedi6L/uTv0Xqcv+vceS8XeZp9in0r/Nx2jsYHnj5u q8b/Oa1Sufn/bDS8RbGWd2qVvbf+xUe0v+NPX23yL/Lqj7V8sdfU5RfEE5P2 LhkzfXCZymeyvmv5QPSNWj4oxY68e52es9V6nNwzeFX9VmtcZuftDya5fLfi 3E+1Tp+o/Sno3xztj+m/cr/+NPXXmRLvBwT5G3n+Y2GCPnqr+sHX64Bxodz2 +A5BPhH/8rf3mv7l/RB3KT0U7X5CJ9T13hH0mQ+ssnNgzoXD+M16R8ub153W C+msF/iF95MD+3Nj0jkfEj+cG1M6+UWuO1bvj5z8VpKrhC9fXK+/kO1U9fNb 8Xbad8Qfp96Hpobsv79P+eIbVXlumJ7r5+h4vp3sMJHP1PMTRmb1J2Rd1PhI Lb+g/KfDfH1rTsH34fOh16pyXejH8BJdT7sqvWd0aGnhvje/jti+4nBtXxHb V7jyTS7s0v7K378+VJU3hWF/a5HVP6z1x/tZm0X/nHP7WNl+DhvOWTnH51wf PwGP8SMIw/X0HYk/YieGv0a5xPwsZL86WJUflHY8WEwLn73rl3q+/KvK8iPX hPyX/SHOUzy3D99zbh/lWeNvYT+bemmf9uesYTvvYj0L/zgrvT/Bekcfm6Pf a/vPGrb48tl7Vtv71f/gPMXjD2n6rEmDJl9l76pv71f77nmqZ9T51V9x0qD5 TTCetA9/IeyDfxG+79pYQoft96gOCV2GEVj9lLS/xvjJT9TyLO4Xfpzib7R4 zPaDzbofqFx45nbtz33xfseS6P9x4YiOx5K4bi8cMTuDxfcIP7WcElo3ftuY Xy9FrK+gvh6Vy6W8RTU9j4bvL038LNJvAf3G9aN+CYeWlpHei0uU3i0/603W z+X/ovRay8dTFZcRCx+67Z6qbLdXB/8A9G7SwZmf6Jz+sskPAjqAHqEn9nnh a+z7bXrkPwb81iYtb0mKnyj87LIkTyBfoIeTDkZPRx5B/vB6fNzfs3POID9B P+jH7H/sh+jLcg/yfXofecbtGh/jr87Rd2imT9LzhzpdzkPqdKmvTlf/o0n6 Xtoki1sxZPoC+gR+FvhVyPzWfOIboR8130DvgV/Q/nb+ENLhP6QfrvxE9rdt v4n2vxUPGd9lnyA/51vgg/I7tzT5M+4TJn/Kgp+ZxlP6c4eVD58n/QYtj/TS peu+8s69tq+wD3AOJnacm5M/G3x0eUi/V+8Bzn0j2jWXPaTyyG8q0Xf/6jdV 5mc/8quqXBnwu36Z6fV1Ph3nev2E0bjud5Xte+xjlMd3cV3bfQbqobxxyv8L +L+rr3T7g4z33/86+t2c9bD9xr+X7r6K3lfsHTE7fbfiKFfsNfk2f+c92kO/ onLMstmKz7hipI3fKl8T/W2kyt5NXPtG8q8N8/mHN6Mc8uI849OUg927ARcu v+2v7NfwP/b72J6iPb5kWD/4LZGOXf2/h3bV60r4zWiHfb34L5pexHRvj6f+ Ev7LeJDPyVdmdxe54Y0O+cbs7jHd02/h0os3NL2Evl35+Xu+RV/+nmzRZ/s9 8gL8ebfyZ9UD2r5r18tCeuBzPfEc/eQd/SpHFMmvnH0R+/l0XQcF64J7sfl7 finuvrRvb7Kr+3M93sXg3I/82OVJ59wv+Je3nn7FztH9uyx5XJmIaz1J7OG1 XtYUN572E3+e9nAOyLkg535gyvNxAem/P6ekfPrjzxkpH0z/srhh4zQuTd2f jncy3Px4+UT1zloPEvmmu7J+Ms7LdHzN3yHzt6n1P9pNP/J4ZltKZ8/VOL2P xPPD01dbudTDPHrMPHcr/RXIaWofXGl+TO34hQ1V8Tch+wlPqn11XVX8i/zj KcuvdEFcdeKyVDHu/nq1c5yTcKRHu38o8uUt6X2znYrtXATs45XSH86r0Avh 19uVX5teCP8Gkw6dEZcGOvPrDjqU+q9P9y/8OlU+t9zGByzSxZY4vu9eLvQy fWuldtl6n3oztOfsh5Vur0/3Tyif+gOdLERv/dac6DcF3faY3Qt5mfFlPBl/ +AH9Zv1yHoC+D98mHobIE/sejHERuo0/izw+tNTigbBviNzdWmp8nnTK1fgN 3QXlkp9yOTdXO1eKPxHtxnYOixyOnxvxp9VOpvHpx0/coXzb4tXvyPyS+iek dxL5fqd+X/B9u59ayE99xGGhvqmaP/PrrfO793i2F5RP/n/Q9tk9tXY/2fB9 e9y2cA4t2S5I5+piF9o4qnED9u0qicdEvrAPzd+n91POrfMRr5vvpb5nEt6h 5RWURzmUu1vzZzjUf57mt3jgpFMe6dRDvn/U9sl6Kjam73w5YZwuf3a0oD/k d/RvcjPnDNhHsAdJce/wbsYGlRPPqQyLvrc/xQcZP1HletaX9zMLdHPk5zar veTWMZPHJf3m9G55l9ZfwBdpBzjMw9xzqg4/M87NKS/Q4eF1feGra29NccZ0 nnS/rttTxPZYXCL0A8bf09FPdHxL5gN6Efq+QOO0TV7aa37sIrfV+pM7rxH9 5cRu1WfnfWCV2WfgL2FdvT57sNRfjYdXl69xQZYqHw+Y+qifdKGHO+L7Lc/G /vwoxr99dsyn2/mfzO+xq0p3Hm2/4u947Cqdr5t0nz35oaojTrTsI0dxbk1c p1GLSyR0flw8D1+2syC/zhNxnThn2an85LjoL7Bsp/Kno/Af2GlxqLO4R0fh T7BT+da0bSa/YTf61+xcAbefw4V4VmK/eDieK5y4L45H9JM5KvpHzR8yPyX0 8iyO2sJ4P7b+nnhafD9Bvzc/OurP4s49HO/TnpjijX1Dvy+oHz8o6ud76ud7 6ud76ud7xmfiBbldDIz/Hva2Tyq9mF9Q/l59emcqe6+q27131Z3iHmNXCfBT NT/hnJlzv0zunqZ+EvO+WhX/FJr1++fhT3YuK/to0vf9ebDG6/jgSr03+2Kl 8/bxqO9uXF+Cf6i4aGo3OIzXzPV6j+bwX/UZvlNx/q5Yt8ZbrtNL8oPJ78cx j2Mc/Vun7lX6GUl6u0xTrcf3CX6uxA+1R7H5r3LuJH4J5aCe47ade+fxzIln uVe/69X30Gv9Tuah1u86/GqxK9Ae9Bp/TwqMvkh50o5J8XzsUL+L7x7jDE3d q/Q/kuwYtA89x9sfwbQf/XSx1qd2x0P9RmfoIdcovZW3K73ZOST2ynFBfv0t fvFjZZPfBH4VnAtereNvdOzrgc7Zx9jXxL5wc9rHhFwmEr9pi+6bX0449OPe S6P/x5lbzK+D9nwqfH/1xiy+cPDPwV8H/x38dZCT8/h46d1VzpnDn4feSXYV 5F7k2nUqLxtdt98LCPZQ7KXMO+fy2FOxlyp98t7BqGGJU/WNiL/zqspdXxtV uWdbOoe9SrH5bbrzxTKPV6jvfM9apnES5x2X9j15t/Oo9J44+dmXSBe9+KvD cX9Qv7KAlV+n+DnoQddqekl+MPmxl05V+cPuwaOnQR/aD9X7Az30Kj2YHXOF jNtCuzeM3wL9Z9+lv+/X/rj4jPpu+y31Pn+Njo/ty+Snvdhv4/1u8/92/hKl u89s+xT7lsRXmLC6wN+Lfvp+C33X6yLwk9aZ6sc979Ixb3+1dcP3j2v+gvyk 63ohPlDEXx4rXP4iq7/O7+p38cSH1F55UvQ3e1jlktZRSQ5BbhC9eX7nO5F6 Xyr6pz2s6fX3tl+x7/vvkSP4XvzPHla5InzPfsT3Yi+a3/nOJu3ne9rP97Sf 71UfeNb2K3BYBb23VrqfHf+s2ql/gP7yrO1n4Ji/6NH8RcxfoO+iT+I/I3Q5 a8T0TfRh8Ts6xuSb4t+6l8W9rXDfifgIoR0fej3drxZ5438v13sPm6viR+Ef 994v++Pdb6RzGZGvD1boVXbO7uksrt8Cft4kR3jcJKeIH/aN6R4p7W+/L/z6 W+m+b/v93smvV0X7fd4aq31/YYo3wD1ZmZ+3W+bHjl979J+z+yDO/83sJcI/ Xq68v6edU3AfMfQvnKfizxPw5TcnPTT8bDya+xvpXh3tke5sinrTX24qIla9 6mMad6pusJ1LhO+r+So3z7ymx/az9jizD9Zy2qTAt6al8xbkFv+OzATNr/FP pu0tOK9BDlO7yZ7I94l7vkfjf54S4y4+vkfl6OPi/bjb9xTZ/bo5e+K6J87u HuVzp4yqfPX4Ht3PjovvmN2+R/nG+0atfr4H8z31kV/m91C6Dwc9wxejvFK4 /algf8Ifxt8rAeOnht8a/jCMVx6Xfa/6l81BTtxrf6ceMPWQj3oon/opH0z5 tKepXDDfNZVLOZTLd039pL3k9+9m6jineIxgsau/nuJ78F2X5ivId77mM0y5 vHtCucqvXi4oF0x+ym9qB5hzeORG4i8jL8AfwIs0n33Xo3+3uM34NeRxI5/p uJeHXyb36vy9JDD36rin1HRPzt/r8/f0/L08f88JzD077j3l96aI0/eM7aeu P+a3QX78Ucmv+lkrzs9OlTP+OschXe2QOwrSweRTOXTUsJyX/XWraPq7/47y SAe31/uvtePc8Ofkr1bEfbZk30Wu45wr/Lf/U1HOe3GL2Ym5lyX76G1qn+o/ 4lWzExIPnXSN1/uqe/9xt96ruU3tZeF70vmedL5n/fl7Z2DspNxD4/zM3+tt v9/4+s8OxN907sn5nOhJX9D7fXsH0rmpvxcMvlDLi7/pXJPzu91ant4/Gtgf 10Ovxe9W+3+K563j8Vo8/xu2/MQ3JT+Y/Np+/NGI3z4c7wOnOOC6Ll8rKZ/8 lEd+MPkpn3MlgV3Qjb5jEe6Xgv05lNDtvcRJ6rFzKjDp4rc1cZn5Heu50XKL BwEOaP6W6Cc5cZn5MXO+Rn533lZSvrYff4blFs/BlS98YMtv4n2K5Q+Z3R3/ efqh626T0P/0JQmLPHjWw+aXgj2Gc2mJY9p7QPaJkz/XeQ5+t6bLvlunm/0D /3zmAT/lC7V+w6wr1pnUf0R8769eZ7KPJH8f3S+WPVTi/wN/0HZvtvrBcp/l a9Ge8uvN/p5uxzuznBv6c0Ew6fySDt4WfvY9WHLe6PPxd/KRjt2F9LmabnzJ 8yH4mj+HkeLOSec0/pxbzl0+rveTJm9cL/dP69+Cv/t1gz+6nC+cvjreH+2L 40Ucyb4oD8f4RPfm6+5X89WOH+Rt7MP+XjiYcx/OpdhfsGuwj2DH8O8ez4ly AXZVaee3E+YdGfZT7K3e/irp365KyqUeyvH1xPymFyBvez4CvyTemfCxYyO/ PHbEzlmxR4E5h1X7zPa4XlrGT3lf4wwtL/6O2Dkv9p78/Q3sPdtj/9M5NPWD qV/naXtJ/aRTPpjyyU/50KGOa3pXAaz3IaM/6/T1ll/nLb2TACb/KZq/yMtL dgrm6QmlB8PMa/4ud7RL1HQA/WR00faOt6cbygdjH6FcZy8xewjlOPuIyenI GcjlyPlg5Hz2Ffw3m+oFs6+cIxkfs1/KgV6hL+gV+oL+oGfoD3pmH+M+pEzn LOT2NbI+X30gYfpJv5v6CRZ/pq6UD4wcFsaz//WXRL9e9uaY6Y3E18JfQ+m7 1+mNe40uZN9p01PA6Ck92nCLq6F8Kukbeq7RZ/FlmW/oCTmfv7t7Z4Zzv7Pk vw3W8lIcafh5zn/2R//+5DcEJl3LPWD5kRvxI8zfKUtympfr8CMkP3Jbk1xH fvyiSG+SM7Wc/SXtxe8IrL/7Y/sSZty0vv1x3g8YZpzpL+2hf01yso4778EN GOa8hfYy3mDkfK1vf7QfJIxcpt/1x/FImHMz9lHmfU6UE9rPAcI7LGDt52g8 d0/+Mu3nACE/mPxqn01+LpTH+15glctHC8onP+WRH0x+ytf54D3H/XE8eA9y v60f3mlFzgbDx/S8eaXh56S+p+z7SzW/yelg8uNnCMavELkQPqr8YIWeR8xP /obEyZXvx3NOsj6uv17Tj5R+k/7D/kR74Kdg6vV+kbQPOuQXOgR7OgT7deT5 Qu7327muwLLfHDcYf9EvO+kWHPjy3uMG4+9+O9dFn0C/ASNfoU8wXsw/4wVm fKAHMPTg1y2Yc9RDghca35d2HPFqib6C/tKt2OQklV875SbkIt3PkhyGnMZ6 Ic6etifafbvTeiWOs9Iv7/nsMvk/+mfZOyVxnzWM/oMcBt36deXXUfs4vrAh +atRPpjykdso3+W3+4Ds3+RHz3HtN0x+2k9+1h2YdTdR16H5f0EnX5YBfczo Asz5EvqPtn/Y9B/islMO8ZKQd7Sda6Xc//VPCSufH4r2lD7DnNPpOA9FPtpX gDkHzPlOaXxHx/HpgvL4nnM9Xx71c+4I9vnAPp/vB/V4OVzlvCiHz6jsXfY8 DluSw1XueU7pYUZV/JkM6PMmT3MewvkK5zhg1jG/rGPwTCnnfpPzwMh5+B3z i54ODqXd1mY3Qk72cjGYfbFp32SfZB9kX2zaN9knyU99Xm4HY39Fr0aPBkux E5EXY/z7KWMxTuuWDruy18uZRz9PzDN2XOpRvrWloB7q5dyJeq/WdKMv6LFp nUCPrBOw1yvwi0NfYr/BX4d2YE/K7WspnX7Rzqxf3Z36FfWKP8/El9RO0Er6 CXEc0E84V0JvIR/nR+STe/hdL9k5jT+3od/kA/t86FFgxk353qMreQdgka4X 07fBnPOynkgHkw7fYl+lXOppKtfX68sFT1cGafyR85r8Hd1B09c478nfFU76 G3oY+xcYOZJf6mM95HH/0zvAjC/xAdknwaQT3450MPXRb+pD32bfBpOO3w7p YD3PTHZbMO2eJL96P3rO/E47r/Lf6M88a6z8j/KPJ0xewL4NZr4pH3mFfnN/ ArkOzD57quT/ue3XyEGZPbl7V4HcNE9+59l8gRkH/Jxon4/TSvwB1j3Y+7sr feC/nPz+wMoXx2w/UJy/MxQwch5yHXopfqHg/H1x7nOleJXYB8Dt9zKCPK58 td/8q6Df/P3eUbMXwu/z93JHzT7IfuLiXVp8RugYOzXrycfRBOuwpHsPyHN8 Bx2hX6mcsd72H+gbugEjn2m5q20dNK0T8sXvzN+N/GDya/9WFeSnvZndeGLC 8Hf8BbBLqR6cMP4D+DvhXwcm/jZxefGfYT2y/8g9qK6lOk4vVGUl9S81uRLM PrZO8xcxP/2K85Tse/Ab7c+rZg/HLxSs6yX6hbZGsjhXYV9if9T6xkxO4zwF uxn7B/sB+we/+TvQj66knB7tqJUDRv5jfbW/sxXWF/Y1lX8SP8Qfn3tUYO4B 6vrZEum/ZX7cxDPDz5p4Zn5ewfi16XrbovHFd7XsXAg+At/w9hf4JHwRORK7 ff6+UMLwNc4XGS/WM/eZLC5wxHmc+vXGD9Dv4Pesc/Q61jl6HfUgf1NP+3vI oR4w+z/ljhd8q50bgeELlM99T8pn33L7lbULeoX+lW+scfxlrY2H1R8x9bf7 Y4f11x4HpR2zHukX7aVc7ldQLpj8jB/5OaeG/5NvrvwusHysM8Zpm6bbOKEf sb4oj/UFXUKH0CV0iL5C/FDkXPgGOL9nMebk3iGzPyu9Jn0Mey4YPRX7LXo8 +hL2aLDQVyve/x2v7+HUWPWx8YNGj4wnGDsh+wT2OsYV+gJzLsz+hZ0lP+9M 52fkV3lhs9OfEkZvQR7x9xK8nZj5gY9QP/1Br2M9g6EPzsHY99ALWT9g6I19 kHXP/DCfzA/vxIN5ZxfMO0jMP/nBvMsEvTD/pFMe7aRftBNMO+knfBk+zf6r 9ad4SD4OORi5E79d1hfjDmZd448Mf6D89nuNoXww5bf7C4f87e/HhfztccZC /oNS71xrZ1OceNpNe6i3qV20g3qQF3j/QfedJB+QD7scGD0AfkDcNurF7471 Bz+GTolvCZ0iv+TnyauN3qAX9gP2NfQwMOvSnyMyfrSbdQ6/pd6Zmt8w+gn9 gP70PckXDHs7L/yF/oKhb/gV9A2eJ3+YZ/NN+/gOzHfQDe2FXmkHmHbw/m4u /z9v/YD/sn7h36xP3m3Iz88TRv7G3ki51CvxIrqXGL2yL4KRdwXOr4pcD1hr 7x7p/KV3Y3Q9jNm5rJcjwehdyJXodehp6HVg9Dr0NtrDfNFv/MpYl8w3dIYf GfTF/EKfub/pC05/e972XeJxQQ/MH/JQ+7vRYb8F+/2Z/RXM+qLc9rhgoVza 4f1mwax36Cqzxx+W4tkyX/QPemZcD9eJ73gnhHRtx2qjL+gJ+Uznodvoh3FF HgOjz1AP/M2vIzDzRH74CPJ7bl9KGPkd/ojfNvQKPYPzc5/FVp/ytcctnfaR PlU7bO3BvoheRP2yr4z8VPeFtU+UNyguwKK3rXmiIB/Y52sqx3+H/ift/+ky G0eRx4ZT3I+zFKt+3Fpq+cC2biTwwHdVX/i7Wn6TQA/fLcD294Z8tJP2kW+B 5ivIB6b967X9xfekHctMzwl88eDsQeGXB2erXlnjUv/eb/Ycyd4V/cdYP7vX lRKnrvWY0aPcB/tKioe6WLH5c0BXxJN37y/rOrikKnm/jHcCRC360qjRm9w/ HFR6C+9f895EyD/jL9X+eGTPmNmbeA+7W9uv/GH3OtMf/LuiYOj1ydCP4583 OeoRxfb91Zrf+Cf5ZX85Lb679kBl5fG9xC1eMGzvfvIOJ/KoDOtz6V2zCYqL 9ndrw3sbvP9NOu/eohfxzsLlAdf10o7rFVu/6Df94n1m3oPmfehuxdY+6uOe M/eeuX+G/Yl2+HmlncSVJs60vIM6bsT4v3sPvMj8wcdpPN46v+0HvIcncYuv fMHe1Yv0Vrr3u7XfZ8b701+I93zPjPEKvrDT3v3jXsduxXYPhLhnyDfQKe93 wk+JY0E85fB1iK9MvGXiKzOuzKvci/5e8u8/X7H550uc8HVxfzjhST2H+Oiw nmdd2hfvIah+Onlen91/4z6cu29b8v4o6w4693TPuhF+sVX95afcE9ffVvWP r7HF0SUOLHFXpZ9nbrf3HHzccOJm+7i8fEc5sf+6j57wZPZ+8pErKstH3NfQ 7Vvua1kc2EA3099J9z9Jpx7/HX8Hc6+be97ufVm1lx5aqu8r7qrUvvrm0jJi 4wNCxzUfwN9F6OzM/cYXeB9Y7OpnDatec2mfxo08Qu0V9fyaf812/b5ofxcq vM/b/u5TeO+Xe+XcM2c8oSfsKsTLJ74v8YCJD0y8X/eervL576g9onX0c2IH nfCQ2oOPvGm13R/lXim/3OPcpfxB4y1c/JLGU/2tnjvd8NGXS/5OvqZ1yjqG D7APETeO9ct6NvtVXI/wPd6jZFx5r5JxbeLbfM96hV5Zr8yn3MN5IMZ3n7AG XPBeoVtvFh+n/Vx6ypPb9b7093X/C7979e8a/+qVSO+nvKJxh76fviMff3fx 3VTueffyMmKjR/hN5C8F92uJvwEfbI8LEd5jkHtaA3tEDyjHjRbuPUv//rHF dyDeA/EfiPcwUelD5/ujL6s88rP98VfjhtRY5Ra796T3VbhPFe5XcR+K+yvc b+G+C/dZoD+/j0GP6HfEZwndu/ZW9U8+/HObNX7AwB6N5zlu1PQ74omg3xLP k/ib6Ln8Ev+TeJ7t34W4I8Qhce9zlTGeVUE8K/iY5wvwOeIUNsVpdPEjlQ+O RX/J2x/VeKZ/s0D1zN9XFo9X4gXGeMcT3opx6sfP03fO6+/C5wNjVXG24jJi je9+R3r/gn3dyw1+3wf7d4Skf7UcsEP4Z/6uUNinOBeT9XnsKnvPgfcWlun3 yn/O1Pcepl6U/FYiNn8Qmbe1A2qvuHHA4ucT/zvyT30H7ujn7L4x7wVI/JR7 VN6YXfMF9L/3ivy7sSC+OfHMiW9OvHP0UOKDXR6+O3WO0MWytyvaUxDPn3g+ xNch3g7xfaAzLxdCh/m7K4kPsM+E37U1H5D74gP6HniN9X5WzSeILynxm89+ 2N/3svtuou+ueIh+lPTLxVP299uUjtcOKN++ccDi3nHfiPv83P8nHgD3+6H3 7yq9y/r8zRtR//39fRonvGe3+U1/U7H5d4X8149WpdD5w48xv1J/Pb/xftiT wtdb61S/+OLWaJeq+bTcI/38BuW3Z1u66pU1375Y03Vdn1UZHxU+ty3GBfpw 9Gc95oDhCYoLvqd8+Cv8lHun3BsFcy+V+LQiP52T7u3KuqzXCePOurhO6y9p j8g5V6R4vNxLpT7hOzWfln2h5tvTFBdgle/xUx60+ph36qO/7BfsH9RHf6jv Ki1f18eZ+02Oo37S4QM7tb8F8YeJ19s0btTL+y68H4Mft4zf2sri0+IHIfHW z452qZou6Cf8RvTRY+J94Q8nLPV9WMe5xiXpTn718m1Bfr4X/nhvukdLvcwv 8VJlfex7sCT+JnEbiY9J/EbWCeuGdcS6It4n31EO8TXJRzkunqTFd/xb3Q/N ntFu3+g6ccDuuxAPkfiGxDskPqLI9Tele7FP6Pd2n+M8TTf7rYz/8JC+0/dM Xwm+WrGO7/BQSTqY9GDPvuV9T2sc9aeqoimfx031uvuL/v5jQfw64rcRz414 dtzXZJyZd9Yd9ABdzlU6sDi6Ihe1vdsV1kn5oVHzEyE+FfG7iJdG/BHiexG/ inv0QjerIz+o55P5YH78vfnTNL+PD+XjUVG/5RM6PUHj1Ey+Y6z8f25sFLM= "], {{ {GrayLevel[0.8], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxMnQW4VUUXhk/vc+65J66KhdiBYGJgoQgqGKCioKKSNiLYiKKEoKioYCsG ImKDgt2C3YWK3YGFYvvr/733W/fB57lz9zqz16yZ2Xv2zJpVs8agYb2OyaRS qfFtUqmsrp82plKtSqlUx3wqdUo6lRqhtLPSEfp9uFJVyD/pukjXb5RO1r2c yqlYavdCKrW38vZSOkb5Q5W6Ke0hwhsoXan8NYS3nFIrpbOUN0FpmvLH6jpG 6XLBq+vesoE3SMRLyr9W+T+q3iH6/aXgz5X3ktK3wrkeGko9lFbU74pSVek6 /S5HXStFXk3pAuX3VzpYaYes61pNaUfBnZWuE3yGkBsbVF5pzaCxvNJBun+g 0tWCJ6k9rwr+QfBsXWcpzVRaK3BXULqKfiu1Fby50rpK6ylNVt5gpYFZ/15Z qbXS2lGOfuyoNrynvj6p9Lf6/a6e5TtKG6X8jHiWm6TcPursIlrH6DpSaZ2g Qb83UFo1+rhhXCnfNu389tHecrzHdaMcbdo0aNOuibRXZQYoLZfoXen3ZLVt s6iPchfrd/+0af6Ydt1bK/2jvrRPu70dgh5lhqX9eweljaNP9GfbaCt93S6u 3N8m+sO96ap/mK6nxjNrjHffOeqgXb+mXaa70iVq20Vpt+cXXQcpbSV416BL nV3iPW2h1CPaBb1N04b3ULpN4/x/+n2pUlmV9qYPSj0Y62m3929dL1HaU/Bi Xb9X2lLw6Sp7iODBSj2D9o5Kl2tgXqb0vN5zb/3uFm0eJ/zDhXuYUp/Io70V 1bul8rZQ+kvpz6B3YLSRth+vsscV3Ke/9U3/pfSjnsFo1fGb8C9W2jxt/L5K ierfizbTduEcpeuRSsN1b5DS4JSf98D4/aPwf1DaL+7Rbtp4hMrso+sApaMF D1HqrHSS0olKXXh2akdG6WDh7FTU2FB9ayuN1jvtqnRn1AOdfaEZbaR/R8b1 IKUT0s4/nDGS9njdPtq3b7RpmsbqYKX3df84/T5E6VClY6Pd/L466/r4fo6P +4dBP67Qv1E0pivtIzod0+7f0Hh/m8W4Ga/7q6pfWaWTot209+S4HqV0YtDj 3jaqd2ulQ0XvtHi+PG++OfrC9zIm2kG50dE+fo8KXPoxNu5T5+mRR18PE+3e Wdd/Vsp1UG5Lvbeb1NbhSofoud+i9t6sNEW4Q5Tm0tasv63xSmcEPep+IzGd CUpnBz3q/F3j62eNt5+UnlHZ/ZTuUf45UZ62X6N7VyuVVVc33d8mbTrrCL43 Y9yJQY8yr6quNZXfSXgL9HGvrXG/SZO+QebbjOvvIZy7Mi63m+BbM+7rs8Lp q3S/4PvVx7+Uf4fS48rbizVF+QvUloLu7an8G5V3itIbgj/R3P6Q8t8R/J7g aYIfFlwV/fHCaVC6QXlfKW96xuskayFz6CTln6c0VXBZ+EcKzgl/JdEpCp6e 9lrHusd8Vcl4jdVSk3o58fs+N+W1kDmN9bWtyjYKuCft9adHrFsnqf0nFrzW /qTnP0PwDQWvh6x/rKG0ifmdNQx6K8TvWbEGMs+zNjLns2ZMiLWavErkUYY1 nPWcNZR1Dnxg5vIOMV6HKn//rMfj1rp5nfpzcGIa66SWrm9rp5auk1zXjPrX DTz6tnrKa9UdKj9OabTSXonXzWkprwPM28znLesoayj9WS+1dD36MeZ5nsUa QbdV1MnvVYNW+/jNOrNRtGOz6Nua8S1uHHQ3j3us77umvV6wLrL2dRR8r97X +syhmaXrbsu6tW20e/Woh7zr1a+jlT5Pm1/YPPrQsv5RpnPKc3zLusR1j2jH jqml617nuN8+1qKNo71dAo+1CJg2sw6yJu4SbWJtYY3ZUW1fTm1fVild8/rN /Pq2YBjGoUrnZryOsY5eJPyVMl7r4K2uiXfB+r59jA3Wxl2jLycUvD6xBrFG 9Yy2HS76hyltqPoeVP7KGa9VZylvAutj2u1jnWFuf1UDtGesvZ2Dn+N9staz 9rOOMr9ulfVa0i3KsTacl/G6ytyb1Rr0kHD+Shm3W+C8LvovVLwuUp41YkDK 6yLrXH/Bj6qdm2fME1BmUOCxJh8Y72lIrHusK6ybrIesO6wBzNnM3aylg//T t8FB6/C4z5z/V/AVrH1/Bw/CGsq6ylrIWsW6yloDDuva0GjzpbEuHRXtY605 JuphvWAtaVnzWtZArsz7faOttKVlPaPdLesx9w4J3GOj3cOjjl5p41MvawVz dstaxHVC4PGb9Qa+bmS0razvaDP9/iL4kFGBRx2nx2+eDfMN8+bhWa95d8W3 cWC0vYfG06fq+2sZ92l0yuvLCVFudLT9jKB7o/C2yngthx+Btz5F+f3VnrcE /xq4/12vJkbfWB/HR1+Yz88J+syL50Z9a2a9BrL+sd6y1p6Z8vrFunZByuv2 2HjOY9X+qhaIitJ3yl+o9AfPKOs5926epdrWQ2W3VBogOv2VVst6rWR9vJAx rbH6O9+U0uH6Zt/U9W6lgnBP1O9fBX+tRaK11pLOordu1msz62//uuYTrb13 Cvd4pbOV35N9mBaYXYXbXffG6vqZ8tYXnRcEJ0pjBO8Zeybm9blqwxyltWiH 7i/R9Wdg4Vyges5knlH9mwnnDbWpj3C20L1PlX+V6r0SXk55o3S/pPs3Kr9J besGr6v0pXBfVPqO96/v+mHhPi68q3XdQdde8Gai8bJwBihNVN41yrtCaZrK X6f0hcqer3v9lK4SfKGug2Jeu0P1TVF6TfDyKvuq4NtZY0Szo9KBgm/St/y1 8F9ROkLzx5nqzy3CPV3pdeUdojRVuHsrzVe916v97YXzitr7kdr5tPKeUtpU qbXS66prJ+F2VfpS8CsaDxnh/sX7F/7RSssLb5zewSN6f8vo3h8F81jwQ+fp /rn0X/CKSpPVxlf4RgRvkvG8d6bubyx4I6Vn1c5dde1O3cKdpbSM0iOiOYFv UvkPqZ79lNdVqa523aC89ko9E/Nk8HOd1PeSxmyRBO8m3I2Vzlf7X9S9PoJf 1vUlpQ1i78H8xzpxmp7hiwgnlC7X8/lVfTpG7cqI9qvKe0XpBrVlulJf3p1w 1tUzfFl4pwnvDfV9J+Z9pQN0fwulM/V8HlM7VhHO22rDCro2CPcU0VhbeB+p /ltV74eCFyhNUjpP6SaVna2+z+L7YQwI/1D6qnSX6G2qNg3VvWHqx3lqwxze s76LfYTXU3V20/1dlH5hfo/vlW97ObW5u8rtpDRfaTuV24Z3oHY9p7KfCHcP 5X2q63bM64yn4M8PVf7tyrtN6RTRflv5R/Oti84But7HHMweGd5a8CTR/J/w +ur+42rjY0qrqI6Fav+fujdM+UeI5v2id5/SLbrXTb8HCN5VNF7nGdBn5hna xp5T97cnKb+Vyi8WXBTuacxvSqvEHpV95gFqw2yV+1I4hwt/mJ5zG6VD9Qyu U95DGX//v8Lfga/0keB3lL5W2d3pt3DmwHML/zFdH1VaoH7sJbpNyltV77SN Ugf152j9nqf7Tyg9lrPs5mnWl4K/7WdYIxN/288z/wunSl08U8GvCV7Md6Hr uKzniAtVz1eCz1LbThXO3KzlRvMEP6H0vfDHwzMp7SScgcIfoFTS783Vpq2E 843w11TeD2nLAnZV3r66v4HSB3oWK6s/qzH3KT2XMV81VDjvZzxXHJc3X8Sc cH7G8gHmoouU/61oz9HvDSmr67rwCsrvzVomeFjiMfSu8FOCv0tbpnOZcJ4V ztWC94dnZT+idIfqfSFj/uZz0dw61sX9lb9Y10OUDkQWod8rKm2hPu6t6yLV kdc3n1PaVr/PYK3Jen1+SHX1Ubn1RP9J5c9HHqHm/JG2zOENwXcp727hLhE8 Q2PkBqVhynsq5zXvfeW3U/vXT/xuF6re69W+1UX7SV13Vt62PC89y3lK+1C/ rh3Yiyk9ozbfqTJZ4R+m3/dl/S3dKnojYpw9ovwHsv4e+il1UFoFHrfg7+oD teFBvpf4No5lztB1BfXhM+X/T/DfSomeQUFpT+WtrrG5mlJH1b2v2rBY1zWK HkfM68sofSPcVkrvK28DXddW6qGyZ2luWVNl/mZeE40Pst63j857z7lIZSu6 PsjeT23oJ9yNaQffotp8MnOn4EOFf4hSg8p+nPU++ZuU9+x8Z8xNq7FexNr6 eKylrN8bKu8P/X5b+Q/oWd2f+BvaXu05P/YMrKvIRFkrz9Izn6D0BN+M8CYk /v4mMd+rfSupTGvWPJX7UOlb4f7K2FX+ysr/IONx/6Te/wWxdh6r6xpKnzEu RW8zpTV4Brq+xLct+HnhXxFrAOOOeXec0qXCuSTxO2yv59pOaUWlLZW3hdJa KvuB6r1T99cWPFt5zwh+mvGjNm/EXK/5fL7y5yX+nj4vev+wu9pzjto/Uekp 1Xm2yk+N+XwD4bVPPH43VP4Daa+5lwjv4qzlCRuoze2VFgvvAtW1jnA/Z+wJ /2Clf9Leo6wWZe8Wzlyl9zRnDFD9mwnnZZUZJHhrZNPsP5UezVp28bpov4bM jrVQfdhIOC/q/nGi8QPllH+l3mMP9Xcr3Zujdrwj+ASVP1/wVYInK/9K0dhE 1wfVjtGCz1Cax/6LOVm4ddFpI9yf9bvCeiT6dyq9q3b2Uv42ectNdlS56Wrr tqwJgt9TWlH1XIPcQPdrPE+1Z6LSAyp7ja5XK22utq8uOjMy5jk66nc75mv2 W7p+yzqp9CdjS/WvnPXaCM/Oujle9W0QvM7vyKt0nal0aODCc2ycN+/FHLiT 2jNT7eygvKGq/2ilV9Seqcq/Rzjr0k7BE5VeYi+s6xSln0VrF7XhOXho4WRV 16f6/Q9zn+6vC4+o/u6uvGEZ81QZjZ2c6vqR+UDwt7qXFfwgY0bpePBU/6W6 1x++TjSO1nVN9oHC7cr7ZH5WXZvmLfM6TuX/zViudZLuv5s1nz9ddPoIbwv2 NBnvBZi7WonmMkq/C3dn1nldFyh/dbWrS/DrJWSHCKZYnxO3l3G5R6wdrE23 6J131vfyhp5VjT1y3nKwL8QXzRH8q8rvDx+r7y+ttIxweisvEc5KgpcIboSu 6t0udE4rZf2s1oLn1zNYJJy3BC/JWk8Ev3GnrvPThvdQP+ar/E/CG5Ix754o fa/f72W9F1qsdr7BfkPj6CJdpyj9C7+b9X5qddZo0XlddC5Tu+4X/n1Ks9Sm jsI9iflC8PbqZyelDkqX6/fgjHnogu7nlQ5mLdC9vrr3i+rvq7R81mN1xazb x3vsp7oOJqk9/4r+P0o/6f7jqvMxpY9V/ljmb6UVVOZLPbtvkAMGr75u8AMr isaFKnuB0m6q6/lYwzbMeM+yjtJ7ojcbnZ/qWk7XZZXeUhtHpq0fQiZ2UNp7 Gn6PRT4Jz8Q+TdeJad9fSfAGasNJauc/SgvTvofMDDkUMihkQBtF3isV8/0b pn0f3r9ZVpU2DjKjTM2yJ/IOTlsHw57+36rxKZfV/Y30ezPBn7P3VHo347Ls NTohK0B2EOV7x/5j+8jvEPDGovF2YjqvJN7vsm8foDb2Cx62X7QDXnZsXJEt DKwYD33M8UrHpa0fYH/CFfnLQYxzZMjsIxPjbZX2/mmL4I1PYV3T/dVZo4XT XddtdW839elf3ftAMALXDeN5LRDOm4llCAObrIui/Ucq7wiltiq/tt7JOJVd i/eiNv5PaaHe73pZ7+23Z7wIp53g9Vkr1c6C6hufs9xrx7T1O4trhpFbvSDa hyWmeY/Knir89dTXPXS9V3nXpi0LAhcZEu8V2R9yv7cSt5/3Mo15Hpme6uyu +tqrbFv2HVnLw5Fbj9bvXdL+PSFtnTS/0SV1jef2hGg+rrS80p58W+zZGdvs r3l+wrmZPVzW8utRum6o1F1wsWYc5HsPCf/BxO/nRNHZnLlH9U/V9cKM5bwD 1M6N9XuKfudVNldz3/qrD8vp3ka6V6j5HjJJ4J7Rhj2jHp5nn/gNfIbKXBT0 36hY5kibhiS+t1va9YDPvpi9co/4XnIZy9eQrbWN7xT55y0qe7PSyuijNC7a KL3Dd602dhDNTZU2iX1tr/gOese3UAyd5s20U/NWVc/iMpWrK00Q/vXxXpFn Ii+cmSyl92LVuskWucB+8Y4OUZsHx36fK3pBxtMM5Aas+YLrqief8XtG3n9Q zDkrB9xGdF5n76N0VsYyYr7H3VP+Fg+O+eG0tOXwyPz/Ul1/Ki1AdqVn+ILK XMnesOB92v7/+bahcWrac1//oNcv6B8r3OGx7iA7QdaPnP/UgNshC0x7P9cx 4FFpy8e50ibk5KNV7xkFy4sS0Ts98s9IGz40xif2E4zVbVmj0pZTj477yKEn ZVyG/O2y/s0+sGPWsinqPbNguQ35Y6L8EfEND4l3SD6y7F4pX48KGJkLv5Fv HxXf6JB4Z0cHjcfQu0VbjwvaA1LWQSD3Z74fUnN5ypxcMP7UtL9HdFb1lOdm 8HeIcsNjHI6I712ozbSPi/ZsGjg7RNljA79j4NAGrscHfv+Yb7k/Lm1ZOWOy WdadtkwbnQN0Ng0c5nfuMT8x13SJdGKM+Utz3gseFXknBc1z453unPI8Rft3 jkR/mNPGB0y/0GmNjPHTP8Yea+7IGIvtYjyPinHVP8ZSx6CDrPTkGIOnxril DvLQ9Q0KfL6FLnrYOyptVV86Lpt1N3ovK+QtXz0yxsoRMV7GxHg4LMYo469l /aO/6FBGB84Jkc+a2EuNOFTfWb+in8+49NL746LsGer76ey3C24vfcmlltbN OOfe+HhWPLPx0d+COvcKcmTdOFDvqK/SQVoDJ6jem8XvrFDys58QZQ/Q+D0r Z74EOxp4k/XjGZwTzxNZNfi8t1VFZwe1/Td0jshT9Xulor/vc+L7OijoMC+t L5yxOe9jsznLrc7TvVZ562iwA9kr5FuXCt5V9NZXGzcWzdfUti1ineYZXBDP Ye+s7X3gtb6La7uQ+UyJMYYMaXK0fxPkMMhnVficrO11uHdp1jo+dFpjCrZB oTy2B4xVdH/oUC+KcXJ6vGvoXyHcywtL+4DuCV3dQQGjezpU8+vyecs71qlZ DnI59Qrupf79q2eYhCyOdbmDfp9SsIzvp7R1gF1Ep1F5+ZBR3Fzws+PeFXnr Bq7kvQhuozRD8KOi80jidXKenuEitePk4G2Qf0wRzSmis27ect1yyHngTybA 86CjVdoP3l6/52VtC0C7Hk95LZoW46csnAalIapjN727dnp3m6hvt6m+vOCR yJH0/F/S9dac5WSsaUNU9sms9Vf83lFlOiFnVNpE9LYX/o2CT4OPKljeMrLg Ne4GwTN174us808Tn7+G6rpHNO4XfL3g8Urd8pY/3iyca3OWn7JGr6v2fJW3 DGU4e+u8v/NLRL+r0mfCuSlnfclMYPVlX9EeLpwThb9e3s9uMvI0pQ/5/gpe B1lXkC+yn2KvwR6UNe3GlNebWZF/nWgeg2xEdB5Sm6ervZOQ0esZviparXOe uwbG2EYuCh10E3ur/Y3Ca6PyFbWnUWmonv8gveuv8+ZjWsdYEEpqbMHjmzbt q/y7Rfsrwcfp5unoi5Q2FI2ddL1P90Zh26e2PKT7j+YsO7uX70z1noV8SHgv 5CzXQV6zd97yyrmCX8pZdoIM5DjhP617c/W7i2g9E/KpswuWM1C2prpWy1lm AV30VrR7YsGyBugMhk/PWRaxodrVXbT2173n0CmgL1d/19Tz6Kb8PzXm/1G9 Twi+nXlL154Fy25YVJH/IJN5N+S0Lwj+GJtG1nHdX0btOTf25MvrulzBcvsx ej7fJ95Dr4heT3R/0O+K2vMiOgmlLfMeZ4/yzmqW9bPf7qr2dMp7r36d6pkU sp6acKpKJ6ofrZXXVmWfFP7XylsYsu91Yzw171vVvhWUZuv+aLWzEXma6m2t 9qyLbETt+Uj0S0pHCe9s4f2aWK51R9Bhj3+2cH9m/ladaeYB3hnzntrZNW9Z xjnC2a9gOUgaXT9jTfC5ovlHYhnO+QWPj1fSHpuvxvhkjL8ebX5U7XxG7bys 5O8Yuxz4nP/VLJdDLrSO2t9J9P8W3Uk1y26QWSHXgWaT0lPq0/dqxwj162jh DlHaRfeLWts+UhuW1bVfwXIh5B4HhUwJ+cybKnOn6j9cZbrnPS8gp+2kMk+o 7rObLAtmDWyndD/fQd7yohtV7zkhM0LeQL/Q97HffyfWSta6hbHeDRHeRqq3 lcoOzFnHclXGuO8G/v9ylgXwe0/V/YbacKyuFxa8RjKfDNS7yOS9N75b+SME r41eIfFeGJu99WJ/ir7ptJizgcuiNVz3anxPgo8QnBO8TsF7Ueb8PyrWH3/N uqr8TWIfvTLMEfMhchHBRxa877244DmRufEA5Zfy3tftIvovqv3DdD1ZeVsg y0eOwnhhT6Lfl2kMJHp2BaXdhfeq8M/V9VLkWtGG/fKWtS4S3Lbg/Sp8V6+8 5xfmK/ZErBfYGe6pMXJA3rJU7HOwaWlZq3+J9Zo1/ocYk6yn2Pd0FXx1Yr0w vMMhgQOfgB0SNlHwmd/HGsz6u5LGwGvqz4GUyfi7zMfc/F3Mz+AvDvroeoGx a90qaNK2zXJeS7FlYl9LGWyN1hL9NZUuVB23FLzG/xZ8Cf3Croc90S/Bk4zJ WRcNzsMF28L+HvwHtjXY1ZxdtX5rSdp52MfAm2Dj+lO0E301uiX0SvDrwPCr XH8PGN0benGe4dDEe3zaf0nQpE7k8MgFkQcmjA2936LSSWrDiVXL07GbZe90 e8o8EzY68E3wSdjl0DZkDOgH2ZugH0QPg94FfTf5C1K+pgJnisbws8I7Hfl8 wTwZtka3F2wbAHxk0EcOgI1PLuCRamc/taljzrar5MOTXC74ssS6Fvg9njvP /Ff1Z7DqGqQ0VffWL9jmBR4QuvRjjMb0A6K7MOhlg+aG6B1y1p3/EjTZX2yp /DfytlvZOrGdBHZlx+naWmlqxrYk2EFiA9mL702/d9Lva+E9BDcK7pS1PAi8 7bP+jT/COTnrUNA7fKg58AF9f4epznOz5oN5r8jKsLcZz5gJnQj6hU/0zD9W mso6zRjTdUzedkN/xlh6omC7VdrwAzLngu1EJrPeZ6zzol9cr+Mb1LN5X/V/ J5yj8rbdZ54cq7x94P/gv3P+TpDfTlSnO4nue0WPN8YMz/k6lX1TOPsIZya8 IfMgMnrRH6Z7rZCZkafUK2teFZ4VvfnFOdtuoDveNrHeesfYr7Jv5Vs4AX0C /HTGNmyMpdvYJ+as7yT/1oK/VfTN2FEjD0OvjS0FtlH9hJ8reV5eL8bCqjEe 0L20iW/hF43hJUp54Z2d2OYEmncUrM+m7vd5BkqHKv2i9EPBNhcvoA8s2P5h p5zlmtgE/10Juw1k7AXrONCzfKj3+YHSzaybyr869BQn5W1Pxry9me7fq3vn 6Pc4+Cyl7fV7Jvw47184l+u9lNSOIroW0Xgka1sm9OPohtBxtA6Y54b+nDmR +fBTte0TpWf0u7u+qRtFo13RdpLgzEhZDr9BzDno+ZnrmK+20fN5qGD91C9F 66VeEny/8joWrO/FZoDy6wQ/smHQYd7+NuhiB8JzwubsmpztNLDLwhYA2q8y B2asR2rRbXeIscG72ST6yNyLbuqmlPX2mwXO/Kzt5BgL6DTBn5myzQA2aG+m 3A/sOOnb47o+VvC9F6Ic44c5bfOAN1N/b87Zdmpi3u8bO7FReianJZbbPVXw PfT79+j+91nrWOcV/K0CXwZPzr41bxsdbBbuoC7lP6x38anydxH8onAuAD/j +WaScO7N2X6A8fZ8wTpy4Ivzts/ZKehtHeP8osQ2SPxeq8FzE/YwL6vsWgX7 CR2heenjxPZa7TR/dhK8nVJdbahpfFSVhgvnk8Q2ItsntufoKjpNwu+s3zsw Z2tMPaH8U5hrVPaSvNt1v+Avdf2CfY7g13S9U3R2qFo3zzz1IDZy6vsu9F/t elvpNuG9VfAeGxv4Nwu2O2HuWKS8b/LWs1+nMv+Dd1XaMTEeuq1dC9bV7xrj ZY8YM7zjHjEG4BFWirH9Wsm2Jrsw/8Mf6Xl9VvQeiX0Weu2Ryj9R+b8VrWfe Mr6v10su3y1jfTj0/+ad5m0/hHwFvTVXZCxfFGyzwvu/Km88/NP2KFjXDfxW znpr5lh07T1jnKwa75j326LXpG136Pm/Jvzf9R7v0PM8Xm28VnTfhZcreB2Z EPMwcoOcnn1W6UDhtlNaX2mR5p6T1cdr1Jfvitb/8l2V0tYZ9o5vk3r3j+eJ zpr8YtrzDfnopn/MWWdKf/bN2h4HW7e38v4+gS/PWQaBjdy32I2one8XrA/s E9/yI2rXCdhhKP+DnPXWzIHsOZgflk1bBo4Ok31Bn5znDtaJLdSPE1X2prz1 jOBj2zOX8aPfR+j3ZwXvU2nnWPV9mspkSx5Lg6O/Hwtnt4Ln7e3Unm3RGytt zPyBfCTrZwA+tkz75ayjpc9f6Jm+o/SV8BaK7jtKy+re4qz1++B0STwmsNu7 Tc/hVqVE7V6gcm8qLSfcu/KWQdHmc0M3e4PadoHa8btw11Kag+wH2Z3S3+rL X/BM8LKh08Xm/yBdDwiYdbZfzK/3IJfIO//rgtda9l+dRX8HpS2U/qjZrhSZ CnphrshVuIftPXtbdMXA6Iuxix8W4wfZzLHxjmbFb2Bwh0RZ5u9hMZ8jMxkS 9NGtD4/8DurTKeprsWibEWii+0C+jE8F/P73mme+LZgf+kDfxdnwxMI/Qs/1 8KptMjbV78fy9tesIz+r2v5ronC/L/heRfPbMQXrmXZOPLfhm7Nl1b+xe71C 9C9XOkx4W6htizQ/7M+3pHfwTcn2ENPhddF3qa6jBM9HBqL0q+AfC+Ynuifm o/FLulj0LlI6KvKx0RyVsR4SPlN/qRtK1nmx7h+DzFn0XlY6VfBTefO78Oro kuDb4U0pi7z/NNaXvNezYt46TuigVwQfPuqFkmWB1LGR+rRhg9eQjurjd7oe ULcdNffh645RG1dIbA89VfSPFbyl4AuEuzXPAtmQ8hfpuqRg/REyevY46IbQ T+zMXKpyryXW4Vwg/F8K5tGR3aFLQt7PvgB8ePi/1MYNYqwim4cmuoDN1M4l qvtzpbtFa25iHx10UudHXXW1JV30OrtPYp9R9Kn3JNajtvzmumvsX9k3wkdt FLrW9VOWSU8Kmq0S+6ByD1k2dSGH2TXKbhH7UcZq+9hf4hPC/hQ70wczS/2W 8bPCzwn778sjf1rRNoOXBe4Vkc8eCz8K9lb4fSHzQOSGrxQ+U/hDXZHYt/n6 uH9l4ODjDJ08823G9/OxX4MmPD96AOqED8FvmvIil1q2aJvuq6Mt10RZdBrk IZPZqmC7KXyl03X7Tl8XfcPXjDZS57QoS7mpURZb2unRzoEl+/9wb+uC90vQ wQ4W2vNSlvmAfwXtTOxXhx3ynwXbnQOzfsIfsp5ip4Xsc0bIDW4IeIvAYb1d V21eR+lFPcRrRbOv0sfKfwc5Vt62jqfr3ssZ88PL6H4TPFTWOmx02fiZ3Ke8 e5UOSLwOzow2dNbzWy7svZs0XutKp6mvV+r3wozp/yH83/P2R/ir4P5gF7p7 4j5hS4+9J/3FRwMbbOAH4Q2Uf2fGNtJnpYw7gfGQtf009+gHNuX4Wt6eNe6s SLODJj4ks4LGAvaAeT/3EUEDPw58TfDpAHcVta1zwbZot9NOeMWC788J/JeU 92Ji+9Z/avb9AH/PxPb62Ht/qHo+UHpc8HPKezbxWH476ExO2SYGu37q/7vg cvzeMfZZ0KTcYzGWKDc32kBd9wedhXn7XfBtVQu2O3+A56MP8r6C92b/FGzL Sj46sYfiG3w37/LYNK5QsC8I3xM+LdB/RDj/K7gc7WuT2H+T8thxPxLj/zv9 ux79in4vH74FjK3VEvt20gf0S8/GXISMc158j3yXTwT8b8F2jzw3/DvBeTJl v33staexp0Mmr9SKsYr8J7GPx0UxLyED+z5vu3boYOv6ZJS9PWf7b37vm3gO hW492vaycJYwZvOOyXCbxvSqSm2w/Urs19FiR84VPpw2sDd9KfZ08ILwbB0C hiccVfN3hj3k1po8WqHLzfqd3hXvkX7wEPBVmZWzrwV7u1SUY+/P3o489neX FW0viB0r+zmeN+smPlD4LmCfyXfwenwLs3O2+8ZvK5fYpheYsYy94qfMn4nz 8Ampl/28iJvwN/wosijBvRM/O2yJX2U/pDQW3V3B3ye2kSOztt8G7pPYdwob rtFxxY5rv8T3qKuksg+z/kc5bCixn0zgrbP2HW5Qe97UPDOkyT442KZhS91F v5/TvRX1PHau2p6bOQgbUvpVE53P2KcpDSuZ9oLo70dq96PKe6Rk207ylxf+ dqI1WPd+UN6Ikn1U2NOgU/o85sBztBhMVLoWmUdiffXRKcP0DRvso0r2CWfu PVb0Pk1s0/+O2thTaTz+GkX70HySsf0vtpeptJ8z+kbWa+Ys8lkvDkyMC010 d8AjUu7rW9Gv89Suc5WuYYw0+N3js/dD3t8GcT9ez9mmmW92WT3nb/O2F11V 8IKc7Y33KdjOGD8O/JjYv/6JTEN5i/NhUxr5rEFfqL+f8yyRO+XtN8J3xPqG nTJr3Iyc6fF724LnHWy28Q94O76FbeP7A/+G0PN8r9+b63ltVrfv7PE5y2iQ qzfb+Wa8j0PWTj5ym39F55+8bVPPCntteG/2EOy5+EZ7F2wXDM6M2HuB11rv 53/YpCq9obn0poJlh8fHfqRFNsQVuegJOdsn842wR2KvxJ5xsp7/D6L7Pfon 5M152wzTLvwimGuxG/4t5tsc83DOts3sudA5Nqa9F6TN7B+xqyUf+Tn08J2g Xtb7n1rwC7bNpW8NiXVxwN/lbOuLbcDnOdskY2+QsM4XDHPF7hmfi0zBOj/a w/fIZvzhlG1++V4/E3xwwb5IyA1/zfvdY2PMeo7dNGv6gIJth9GNfpGz/TQ0 i4nnDsryre8e4+CBnOun/Fc5+09RdyNrMntL9kEFX7GFZu3jyjP8sWg7ae5V Eo916m1gLEff8a9ivLdOO294zD8stth1U/dFenc/Y/OsNEXwpLppNxUsB6F8 h+Bx6CN+O+jS903b1xZbPnRPqxSsr+WbwjeK76aN8lcs+Jvk98CC7bTBwd+r Ib73lUq20Yc3m8CcodSUtf4NGTJ6vUEF20Hjc1VL/N0CnyXcm4v2gVoSdKF5 ScDptGVB0GPtw4aadZV9+hoF+0/y+5awy14u9vHLBw77XfbV7Hn3DxkCY3Kx ntUh8K85y5bIR37FXpm9Mfvilj05+27s46G5huCvNIaXJakfI5S/Sta+BIcn 9ivEVvbhxFd4+0ML9k8Ab0f15Qy1dc2C10zKsW6uLHor1Gz7jxyRfS1+atgQ YyPMvD0w9KTYEr8kGv+I5rI502gddMBdLfBZx4CxhXtYc+1DSocXLBtBXvJW yj4ElF1bOOm8bY+pA1ti+rJd2jpWYOyTsVXGnxk7ZHhC/IWxvcGGGhieEX9B 7HKwN+Y5oNOhzPB4tsxv9AW/ZdqL/TL2ydDgul7QhN66ATNOGbesI/21nmaQ gSaWebeNstgCY+sLm8J1g4DZkwHXYi+Jvg87W/bu7P+xAXtUz+YRpWMLxqV8 t9gTs5fGBoy9JzB7Umxt2K+y9mEnDLy77h+VWH9N37GVBt4hbd0DdcEuNeZt m8v3t0l8g/Tri/gm+R6RGSA7wGYVvRz7fvz4sIlFHtA3bZ0yMLbNQwr2EaBv l2VtB0ZsA+LYUAd7ptWCJrKIAyKfeomlgF8j/minZ/0bGP9mYGyM0Z0iX0C2 gKwAezJkAsRbAN4lZTkBOIfFs+0U/W32G81af0dsMfKRnWCDzru7KGX7P9pL TAWeIXbt3EcGsF088/MDRm7xM+tIzTZoLe2ABrS3j3qv1fWarP35J+h7v7Jk v45Xor/Xpexfy31iEOCDiA8xvv/0mfgSxPPoGvl3xvPBv32HeM5bR9+xoV8/ +gJu16BzbcDwk3/m7X/YvN/M+zf+Neg/d465gj0f+0f4YvhZ4IdStrXHR+D8 lPO4B99MXrfIZ9zuEWOe9Yl1Cv4dPh15MWs9e0XyWR/hB3YL+i8EHnt09rLQ ZD/bLerle2cfBH2+J2LeEA+glLKf+l4xZojPRj66XZ4T+fgS4reOjSN2jbSF uphvj8lbn4k/O+V6BE3kvfsGDnEEyCemyxV6f6NyLsMVuxToIgsghkJzfI2C ffmxNyY+DHFviE+CLzZxivB5xD8beFzk9w54bMqxG8ak7FcNfF7AxBe6L9py YLRzp3h/k6J+aEED3AOiLH7kfQPeP/LR0+0VY4nntl+UpQ3QPijo0/b+0X5i 2dEvTX/N14OjjwMCh3z8kgcEjE/moCj7YtDkXRA/h7g6bVP+TX3LBu7AwF8v 8MCBNjSviW9hdIznHaL9lD0kaK6Ssg/9Yf95J4dFv9hfot9k3SPv8MinHOWn xfd4ZHw7xKc6Ir5N9j3YmrL36RL54CwIOsQAIU4Gvrr4v1+sAXh+3TrVvhWv 09T9VtBn78kelL3omfFehsY7mhH5zXNCyvm8U3zTj4nxMyzqoiwxrvg9Psre kHWMjylhH8s+cVjkgcN1WJQdGjSpFx71uOgjdnfoQB6PvrNf/ZQ+hi4PP819 1a+7EsPgUJb97GcV66TZv++kfedoPYO1lerK+7BgnRByGmRMyGqQoeJ7gtwD es0xP/S7o57flkrvqh9fhH7g5Kx/43OO/xexDQfFe5+CvDexjpH2nhJtho/D bhBe7je9lw66v2nB90dGm7EpBAc/PtZe/CJYf4k7SNuQ9Y4ImsyRr8WYoV7y RkRdjMfT45vqHDDjFH8haLJWIvclJheyUurAVwjegJhUxLpizkAWhwwU2esL WcPzUoaJCYZsiXmQ+FlsOcAjD1kTsSqJOUAskYbAnxff0QX/+X7PD3hc4CCr mhY0kd9Oi3ZCk+vYgJEJA9MPbF7QXcHrMn9iW8Pcu2Lcmxyy0vPie0RWikyy JW9SfDt8j+cFTP1nRb/6RZuZa5Ank0+78L2lXup5MnG8UOomrtoV8Y54b7w/ eC3k/ZfHe+TbnRLf4JCAR8b8w3hi3llNL2SVmvWBjB/2AzxLeAR4G2Romxec z7iCv2QNxe6HOJ3EeWC+Io/5GXse8Ikzg/3QdgXv7YHxkZgYz3BQlGVcIa+j LtZ3YmoRqwtdQ9uA14u1mP4+FHlXBc7AlOMxDUiZR7gs2s79qfEcLo38XWIO nBz1Ug6+hTl2apShTvQtUwPmvdLmAXE9J9pPOcoTT4m4cNfHeLg1698NsX4B LxdjBhzymJeYu4hlhLyaWELMD9Mjn3dEHveQWbMWwN8wHyMj5B4y6mFRhjZQ bnrQvCPKXhjtwffvuqA9I+hfEWOIOYE4q3ybrHFc+Tb5TvElwqeIbxfd2y3R L/p0a9C8JeCGGGMzon/0mfutYt64McZqS5ly1HVz1Eu8CtYJ5mp8CuDD4LUe Kzu2wj3RxtnRvlkB12PtnhUwvvPYWTO/baOP/lGVP7rJfCjxIJiv8HXAZwr7 9i4xBo6Jd8GzgyckHg7rL7zoJWEfDV38sijLs4Ffo53s1+jbHfHMiUlEXc8J XidxnET0G+g+7ot+EXcQ+OOU+UvuI5vFxwL5PHsxYiHAK7P+Eu+Q/M8Fr5U4 Fs/d/3kWK8eYvDbG83qJYy22xNrgijztQ+zetaerFu0by75367S/V75bvnF0 AdjyXZZybCfgf1lPVaZt0f7rxAxGPp8RPpPov6J7Rt52g+RfnnK8R+Q48MjE SSLmBTpo+DFgeCJiGRLHgpgwJyErKJn3nFGynhj7MOL4YftKHJUD9H73Vyqq vpWFv1KDYwMRswh7DPxBDi/Zlpjf6MGw2UBOC+9HPA74CvhEYnTAZ2LnhryO ueWAwN8i+HraDw9PvBnKouM+MeR71bRjCUGHeJisXaxbLesM8LyU4xYRL2Nh ymsR69YzKcusX4znAM8I/HTKPCDxPphXn04cG4ffxAJhT3VdyjFCWJuZx35I eS4Gn/gi0GdNPDXwGYes4cT5gPdj3gUfuQfxSomrQUyYNRLH0oIuPBd8HvFY iIkC/8eaRQwa4n+8kzI/SL/GpRyLZkH0kZgQ8H+sO/CAwOyp4b/g7YgzQ0wd 4ke8l3LsHtr2QspzwNtRdqeoi28QW9534t2ht8J3CXskYoHQTnhRfGnx00Gn f1vNMadoO7rOD6L9xGtBXrlS2u39MNqMfJh8ZJjPqNzTStvE8/u65Rnm7YPW 0paPoi+8/49jLBFXCpjYLytobC7f4Dhlz+c9Vu4P/E8C59Gw4yDm9lVF2xQS 6+0EfVO/aYxfr3S84J/QL8CHitY6SmuXPF6+jDHD+GCcMBbWK9nejvhWz6kf zyrthe654hg0+D79EfjPpuzfDx3GIzbN38S7eKrmGDH8XhFGSX3pUvL74f3x nrGHWxTj4YWaY8QsirHzXYyfw/KGia13imhsIBpT1df2mrDrSqsKPhxdXtEx i/Ex+jbGxoyKY75gjzhZOP+G/8mFgv8pOvYWcYGQ07ZCV1Ixv46+ZpeQ336S cqwI4j1gt7M45Oktsnlg5OQX4zsmvDNzjj2Cnwp7CvQtS+Jbxh6YMcZ+Af87 ZGHIAUZpnbmEmBsl81HgswZhb0Ycj4bgt8GHN+Yb/TzmAfw1Gc/4KaJXR7fE fDWv7NhAf+rebGJjKN0Wfih/xLvrXLU94l/xPsknjhYyS/xS8EkpVu0T9K9+ d63aHhI9HT4k+JLggzIr/DJRBvet2reT8nexnoaNUblq36d0zv516GXRyRL/ Cd8TfDMPFs6mOfuetGu0D+ehWn93UHpS/ZnYZNk79mArph2zBPiKkCvyTFv8 GfEbxD9xYbSTvmBbST7Pn7WLeli/mnXIOb8LxjL+JnwX5BeDJn6O+IjhQ7RL 1TrChliH4TlYl+8NGH9G/NlYp1mjwWmMfNZh/NpYi/F3BGbdvlTvf0rdttvY FjEfMRcBY4+E/2Bn9f/psv0VGUf1yGcu4Rkyn3ypZ/ZM2X6M+Mpgk47Mc2eV fUH55+i6q9q+ddl+hzeq3odU726q9wHBZ5ccIwo7eeTWPLf1Gu27eEiTZajL Bc0BxP7JhT9Oxb6RPCPsn7GXw38K+TwwflrPlx0TZKcm+7dhswlvgL/RCvEu BlftT4gOZKba87Datjt2pmX7EK6i/D2r1oGi9+wjeLuyfSIfxIeu5JhP36q9 b5btW3gGcoaS4858pXZ+WbFP4N5qx1tl+yJiC9PsD5hyPCvg+9We3YTzCrbA ut4jOreKziil9QSv22A/QmJD8d09JPx7NN7HK22luibU7X+4pu79rrzflM7E b1X5L+n6nvJPKVk3TGypx4T7e2K/OHSh+CyiJ8UmFh89+CV8EteOurALBRde YrLacKHStyr/JPNV4jKnYHet37sp9dOzml30N3ak4Gfxb1BbNlL9zxQdBydT td0ksZJrxDit2ieNOttHvUPV5+fRQxY9ZzDPMG8MrNuHDbu0e2v2qcPmsCAa eaXr8/a1QB44Xf0aJzqXhx8jPlu8c3ReT8Tcha8cPgIrR/4xTfZPo/34JKC7 mpVyPBZgdFjbqp5tqub9mTM6xNzC9wGMj9vQJvuSMXaJ24PfB75FyChpGz5z 8Ijkv60+HVj1vEbstoG6ti+67LNqf2elF0v2VYBvnM1aX/U4Jgbf7eiadf9N lcnXvS5iT96JcVv1PA0fgd0ivAQ2kqyjrKELVOayuu+h/0EPhP/GW0X79sBj LBfXr4TfS/16l80RPgqifUnFvkpvFB3rELo9K7bRx26+V1zZd8N3d44xhs8N vgnoArCtho/nO/0o7PS5hy8M+Pj44DeEfRo+RNgl0k50VcxbnWKOQoeA7wCy 984V++pQhhhZXaJffQJGN01MWvDRHe1dsd8APgDrNNhfgPh72DJ3i7UAnxTu 45sAf71LfBf4m4CzbuiRsPlEl4T/CDDxbbCvwU4aextswfHlwI8D3xPo4MPy mOp9ue69BfpHbMSx78XPA3x0+Ox1eFb4MfUPmtgGtDxr5NA8u57xbOH14Pnw ZRhUt10m/UI30qyPQQZLfJSK/Qz20fv9QO+3UXj3C7+z2vKJ4I+L9tOAT+sT bcOmGP8G8n5Mmf+jLvjGQt38FjYk+4h+r6rnV2QwvWI8YL+Dnc+roXdF1o+c n/fDe8L2Ab01tu6tQ18ADnwRNuXkY88Pv4ROd/XQfw2ItQO7a+wfsLuA/v5R FjsI8lv0w9hvo8/9I8YHYwNb7r6B823IuZBxHVW1rTNzGvfBw667a4yzNkH7 oCh7jHDXKzp23PFNtiHme+uu/G5Vr1fIzw4MfNY+2o+N66t1f1f9YhwxnrAl Zi/bP8YV9l/YZWJ/gu0KMPoZ7NywmcFeDvtK5nR4N3hFbESx28G+Exibna4V 20RiA4QdJlfsFbGLxN4RmwHsdrAhxE4JfgMdFrwH69LgmLexowAfu0n29dj4 YefwR+i8sKvE1nWfGKvYMUKTeNT76vl8WLbPCXY9Q2KugJ9BvvBAjP+jYq5g PgEH2zn4KGx44PeWhD0Ptno3EqupYjsfbOmwqcOO7oFoG7aCu1Zsb8U97DSo C94JOzXsA9FXsFdn7kU3i43H8JgTiAmD/yc6d2x5sLlpGV/Hx9hjnWe9/yzm DfRt7OWxhcDGAvuK3SIf2xj2muxzmZ/BPzHysbU5MeYc9g3YpbCnwA4HGFud lYMmdkvYz7CfZC/J3hEYuxF0y+id0Tej60fOAl8EvwrcHIssa10JNgXIitir s8dkv4tsh/0Ufojo3ljT/q7aloEyr0X72dO/EmV3jHUPfNblu4MOe2j26OzP WZsWBMzefb7eyzylcxL79eLf2xwbhHms5BgB1+j+Vfr9UeL7+A/jO4zvGXBX 0bys6lhsxGoh9isxV7BnmKNyexcdcxnc0YGPfRy42E5kNR53Vj2XF23HQVl0 fB3iGcIzXFJz/Ef2ZeybkHGwXx5Rc+xW7LWJt4ZuGBuA89TWcxP7tLF34H6z Pbbas5zq2jXxOMcGGxkXMmrkVsistinYNrg5fjnxE0uOici3DD7rwpZRF+sg trbgoiuAL2QcwnPy7UCTtRWbRsYztov4syLHQYZzc80xzfl9QuL47+h716j7 nCrsVU9MfI9YtIxb8pDhrFV3/H1sN1mDWYuh3Z5YHiXbmy+p2geOe731fI+v 20eWuO3Q4ywVYpOQh88svBIw/BKKfb47YhfhX4nvK7au+K4Bw2Njc849fNHA 5VvFF/YuPbeZ+AsrzcjbVwo/KcpdFGUZ57Qd2Q7+spfGN35EyfI7yhAvjhhp 2GYwXzJ/Yk+O7SfwnJRtCLErnp9KNduEYS+NvG4jPYchJdtdIotAToT8AVtq cOAlkLMgb8F/8+OSeSN+4+uG71tL3GzicrDfxBcSOsiaOMuNfPgibKCxhWYs rJrYNpryxJ9hrCKLwyYanCdSjoXPe0bvjD007WdtWT2xnTT2yh+G3fKjcZ9+ YieJreWM6C/7WvbhnH1DrG72vMScYf/GPo74NtRJ3axTxBEBnzkcG8/roz2/ Vi1PosyeFfOX+D8eoLFxd92+NsTfuSXmKGIPE8sbme2aieWG/GYeA+fLlG2F sRlmTTiy4nj90GAtIP/FlHkq+Fh8S7FzxscV/mR1rVNHa9wOKdu/lXzsnbmC hw0FPkC3RnuwcZgVZdfA70nlhpYdM5iY18g2+xYdRxt5Ff5Gd8Yc267q9Qu7 WGLNzIl5cnjFcefJI44EMinkUdjOggtvhQyL9n+Y8hxL2V9Ctgk+McPxZ5ob NJHHIZeDV9y3Zp6Y38h+H4vxgB4AfQHrfLOOIOfziYitAgw/wH1sIrGHRHkI /InAdRPrG7ABRfb/cMw5D8fvz1LGvT/w/w57UfQPbRPrDFric4OP3H7txPoG niNr28NBh7jOxO0hxvgjec8pzCfIQojrwvrOuRH0CznMpJh3iKdNvGrsJ9DJ npz43Ah+E0MaPdCZKcefJv7S96mwh82Z3xmRuAz3OEuDuogvNDJxvH7KY8uK TJC1+9TE92grcXaI60K8GnxssWNmb84e/ZmA5xH/R+mkun11wcFvdyBy1IL9 n4nl8VzgwythUwq/dIVwDi46vtHlgYNP5cqitZLSnJrPpOM+vrkHCXdo3XWf WLLPLvf21dgdL7g/vkk1x0QmBvXJJecRJ+luzYHz6pY9cA4decQ7ukht3yhx 3KJra477TMxqzhGgndh4X1VzvGliLa2CDEy0RorGwUpTRH/jxHKd16Jf7IeA OeNjQ9W5gdKSms8TIZYCaxwxs5Fl4N9KXGrkHfj/nlqyLy948JLwndics+8E B/5zWbXhG5V5R787CD4Jma/quJZ5vm671/V0LTRZjrlK2KVTFhtXymVDrot8 Elkutt/gwh+idyBGOLYfSZNxiN3E+RDkI3Njj0j74f3gAeEF4fcyYYNN/sWc tZE4ttHmVceMxpe3Glf2NdgzfxpjjzhCnwQ8uOgz+ZAXNQn/u4jv9nLNclXy ifkG/mXCP1B9noyMIDEvynjGDpk4OcRbgE/GvxZba+xYPolxT13UTzuwqcaW Ghz2vydFPjjwI/DZrJn457IPh98uh1003zp7bvI5q4I4ctiKI6ftFmXB7xf5 8MDYmX8b8PJh4/1E2rbm2J9jVw+PDN+M3fWigMHH55oYPuxDic8F/HjaV+6x HyXOz0+Bgw354oDpy9fRnt6BTz4xnmjPy2n7NSyO8Y8+hzWNtQNba+IAsUfA 9npJwKuGDTZjlVhBv0Q+8baAn6YujaWviVXTZFkbMjf2qn0DZs+L7fPvAbMX BsaOGhtlbJXh/xeVbbu8X5NlROQje2HPiywG/9D34hnyrJDD/RU42BFjrEL8 JWJDERcFeS+xpICRg3HlXou8/3+Bc3LF5xm02Df/E/mpsE9mz4KNMjByOeKF 8ayIM7ZC1AsOexr2OeDuobbtXvX5RZ/FmMSP4N/AAR+ZfSbgX9WGvnXH+iNe FLFM4OGJO8Vegn0EvHYh8l+vOrYj9xboelfR94gNQKxb5O1ck4CLASMv4spv 9vjs94uR31nf0Q41xz7h3BPiURGralTFZweV4pvDnpi9Hba/2AAjb2yMe+xT iB9DPrIR9i6NkY/ssxLw9qqnU80xtJC5lwKfttFu4hycUfH5H5Xgf/Hhhgfu rf7uW/UZOL+Kxi81x4obW3Jszqa8/Y+Jc4htwzTRua7iPdjVFev/loGXUZm5 Ncd54sw4YkIST+m2gPdK2QeE+Wm5tM9YJMYhOpQ79a4+THz+0x1FxyJdFtmD aI+ru0x/taVfybERb1D+9IrLnFLxOUK8e+73DrqcIUIMM+S6xGlsHe0nviJ1 w99yjg79wh776qLP2GkdCZi4f6Q2URa+G10n+0Ty0P2g9zlWNI/Mu23YcbSJ fHjplaKP8M+rBk10pdCBl+YsLM5C+SLlMyE5HwP+ZCa6A9bvxLGIibdIbDDO 7eTsC3ikGyvWZa6T99lEnIPBmUecQUk8SPRKxIfkN/zeLHzNSo4XCR/YNnCI bUj8DmJ3cH9ElOf8IGK4oYf6UPkfIG8pOa9d5HM2UfvoV7eK9T385oxcYioS B4M4OcAzg5ejLPwVcRc3jPxHauYhiM1FfBLyieNxkvJ2zLvNJ2tsPYodR92x NTaONnNeLjD60L9qPl+N/sDLEicPOdjqKrOa0hO6/0rJ55nhW0MsvQ6B07pu 3og4gI8XHbsRGL8f4i8iE1tO/MOySqNLPqMN36p62jEatwgc9nDs5Yi7yHkJ WwaMjo589necwU0MlH/gn1XniiXr5s6LfOwQNq059ih7rHlFx3ckXuSqamcb fAtr3r8RuxFZ4ksln/mNfxsxHbeNfHymiPX4JPIBvZ+bSEXndYr8h9XOySWf Q7BTo2NEXl333m77+F5WqZv/ow30kX6xh31EZS8u+UwGYhTvGWP+CXwDSx53 xGbEr+rzlHVrnWMMnFyzPo53DN9NPvEbT607PiL52zY6FuQ1ddveEw+SPctG NccJZR/DWoC+hzXldnTaSkcWvb/ZKcb/fcJdreTf8DbYHMEXDah7XWdNZ20H JmbjRSr/TeKzazg3jziNxG5dP+yViOXI3oF89ObovNCjo58ir3vk096u0Wb0 qbsGnQtE57S64x2Cv2uU3ST6wvp7scb8RVXHQbxOz7NtKWwxso6diJ0YsXP3 iG+ZGIz48ODDgi9Oj/hOe8T3DLx+wMRmHMF5RyXbiaAr591hS8B5aMQ5JIYq +mFkAc2xZ3OGP4t9EDjsYc+qm8eCvyKvV+QTU5G4jsRORF+7T9AEB5g4iuxr 0eGyt3019LnkE6ORePDEYyzE3H5lyvN776CJDw30mcOPKPqMJsYZPB68HTwb Z4sAL4q6egV94iwyrxKPC/z9A6dY9/kf8GjEsTko5rHvSj73iL1a87kgefNs nDUCDvuyjYj9Uve9EVXHHGS+Yh7HZgV5ET5rxEVC90E8QmDiI3HtF/nEKwTm LCH00tTJ3hDZIbwhPDM2UMT8ww7qAOX9pjKVom3KsC3DpojrwICJTchv7M1+ i/iBnHdGXMNDAod4gdhGkscZQtDHJuftouMDHhb0BueXlgMfXSr2BocETGw+ 7IovSdm2GBi/oSnq7+SqY+ONrDv+35GBe0Tg4AcEjC4MPhObA3hIzjwBJkYf cmn4UXhRYl4SPxP/FOL2cS4KOMfVbPMA/b8Dn3zi8OHTgt8Ksfooi3/94Ogb z4S8oUGTWHfIDfHBghdDNwyfhg0F/Bm8FvnALTLPYwMmLh9x8+B/iEEHTJwo 9GTEG0L3hJwSeSVxh/ADPibaxj3ykWEeUndMI+6Rd0Lg4xNG2+Dl4BnRi8MT wlMzftlfFGNNfyBlfQj7vS8CH5g4e6z34BCLFX9B4vXBJxPr9ZTIxx/u1Jg3 iBMIf00sQWLycWYFdIjDx7klxPpDp4nOGFkoMQUpC79NTDtiHRBLCn6CmISP Cp6LzYl+H1NyDGjsL1gjiDOBHSi6s7TGzmF1x+jjDFNi7DXLfwouAz7y7dEx 9ojDNyZgxtiYGFech3Ja9AV7uLFBh/vjAoc4fmOj/eg3D45903PRfvQVxGzk HLMf4rs+K75l5g1igdFXdK7ENiVWA3wJOMRKQ+57dswJ2KIBI7dEH31O9Jcz 8oihh/6aOKjQwZ8PHTj56Auwe8UWttn2s+CyiPHgucbH3EUsOnCwleWMkZPi vRP7jvZ3zth+kxh42HCSNyn69XvZ57VdkLc92IWRT1x/YGw8kE9eFHMF8UiZ O4oZ13letI1YeZMD58vI55zTP8s+s2xK3rHGocNawHmAyIzROe5X97k/gyqW gSELI5YdMcaAmXuJDU/MOmx6OS+eWHnYeqH/x06AOITElsO3Ghk1cvUrA0ZX iL0vOoW9Aw+ZPTZ00IEfI3YgONgD9yK+XMF0ie1Bvfg4czYW9KGBjIuzbNHv EH+Oc9WQXxGDjnxkX8iwsJlA3tVd81W3mm1tiFE4PeoiBhwwPr+Umxo08Qea EW3+IrGMjXvHqfyxVcsAOgd96j1B9e9XdJm1q46LRuwJZHvEfPsnZFbYNyBz I74mMHIezgO9MeCNsMMp+7ysf0Xzen23m5csw+EsUvQgB9UcV+5W5sVGx+R6 VfD1Rceugxa4Nwf+54nlUvx+o+Yz8IiVsKaua9Qcz4+4d5yhR9uw18Nuj1iI xHjjjC/ixTXHz8g7PuDxFZ+ZR9+QV82O9hNPDpizTZFFIasijhyx66AJT4v9 4JzIJ94dbUVm9VbNcejwV89HWWRECJ6nw+urLe/XrRsgtiPv99p4/tQ1N+gQ W46z55HtjBDuksS/0UHfE/lp0bxFNPcVzZOLvk857Kiwp2IuOlX5I4v+TTy2 J+IbJ2Yd9lnID7k/rO7fl3KmrugeyJm36kevmm05uVIvsk1iwhHrHDs94oXh 1855dn+Kxnn6fVXJ9iTEh8PWhdhyyOuR1aPTxf6YPfJXqrehuDSuHFdsU7ED hD62NMwPT8Q8QN6Dkf910THpoPVl0edDU8cNjY4fd1fdNpDEXEP2gqwDGPnM /cJ9krEneE7VsZWxn9pE8NEV3xvS6NhzwNhRoVNZGPwSfBI8APbU6JmxjXmg 6PF7Z9r6KeLVoes/tmK9DucKtNFzPYjY47yPqs8bgO7XcY4ePBvl5kfZv9SH 8/U8p+p5Plj1uRQtcei4IkskHh523th4n9DkWHXoz46qWAfGORZ3Vx1LFB3U aUWfSUwZ4h3OjTFMLD36Be+H/oXYeOiquL4S8Kaic0zF/eScOt4vtk/ISPBd h8fGtgS7EGxCtgq9NvpubLGJS4dtNrHvwOfsJ/TY4OBjd3WjY+HdU3fegsjH j414W9jSn805tCWfE4vvAzjYuuA/QYwwbJg5CxIYv4pRwqsVXTd6XOjcHNd3 giZ6efxP0FcSj+rdaPM5xIAt+RxRdJrv5a1vBee9wOccc2JtoTNtsfunHvI+ jHziVBCfkTMN8AMkzhX+dsSbAg8bAK7vB9yii8UGhnhTxMEgLhO6bHTh6IZa q235xHZ1xIjiLEHiUKFDwwfm7eCvmu3uMo5XhM096yy2ysDs11IRb5bv67mw swUXHxTovBPlPg98YgIRH2F9eNQmly8X/TwWxvNh3f4y6Bxccfwq+kDbF0X7 R9Z8biwxhLCh4d6MlHVfiyKPOCfojFl/0RsDI0tHZ00cofmhC/su8i+p+vw2 2nd95POOsOugHuIh/Jh3WZ4ttkuMVXz2scFYGO+dMyuJi4IcHtsr7LGwOyIm EDAyE2QnyFJa8pYEDjFVFkfbiEODbOXJlG2XfgkYnQTxd9AxEqfml6ADzpKA 0asSW+eTlHXv0MT+h1gw1JtLWz4DfWhgn/V7fHfEHfgz+kUiH/kV/SX/45A5 ICsBtxB1YY+EbvbvgIkZhByskrauljZ/lrI87Legj40T+K9HnX8FfXD/DXxs H7CnZB3nvFHi+DCusEEmtg96Ls5UBUZPit6Bsjwn8jKBg04MGB0TeqVcYam+ iRg++BWi7/sx3i86LHTVPEPoZAP//SiLrg29VTbqZVz8EO8OnTVl0X8RIwh/ Ley70EWXov3dol/os/he6Bd2IMMDB30WOiJ8D+AB4AfQaTHPYwMGTfgN6v0x xhs+kvmoC71V+T90gNFh5YMmMPpt5OLsTRYFffK/KvncWeIuEbMIG7jPU7aD A0Zmia0ccYuQScKT8r3xrbWqWn5Zi++PfGw2OQuYOELoYsBfprDUlhMYnhZ8 9F58j+i+lg0cYiHVol7O/sWOHz0d8ZGA0fky/xGPizmQvOUDB/0bMDGU0Ce3 Cph3xffG+0JvxnfLM8RWDps5dGuLA5/2YNdO+9HhLo6yzTh54/N9QXOlyAd3 lcBH9wtcCbkacXOQrVHvqpHfrNOL50PZNpFP3CRiIBFDab+KY1USU4m4l1yJ oXlj0bZ25bTP7CX+ETq7BUGffs2seT7lHnsvYgmxF9tf9MbUHbOomvgZss5g twdN9H7E1ECugdyAfTq2azvEXp54QNjBAdMv9vLov8BZP2SEyA0/iT0+MPJD ZD/Er0G+hFyQmDXIBjkjnbaxZ0T+Rj6yOOzsqAu5AefJU5Y9YDnxOMR+81xs Dos+J5rzZTivCl05ZwERl4C4x5ylyxm1nDWE7SE2i/SPs2s3jPyM1qY7iLtb cqwFeHf4duKgwpcwz5OHD/rAjOOobxRwh8in3Lslx6HeRL/vLznWAnX/iC1c g+9z7vGmgY/POj6t+J5jr4CPK/6t/AZmH7d6zT7w1HN9zWeREy+2bc3ntmLr xxkWyCaQLUC7Q9CHL6L98Dw8T8phu4g8A3zkGNghQoO9P7j0ucWWcOvoO3FG ifWJbRptw1++IehvEzgLA4ZHw65wu8JS3O3iO71TfR9Qsv4N2RH+DMgNjqvb Z2N6yuNx28BHLkc+craL9SwXJT6zfY7oHFmyLR5yNcYqNqgn1k0T/wjy2kc+ a8qOMd9y7RwwcVOBsT3mbDTsgbAFapcY/oI9uGg21X2/FfaZdY8z0k4x3vDD JZ4OsTQ4S6hr0IH2DlEXZ8GDj06N9RPfP9Ya6ukWdcEbo0fkDLhP6t7HEhu9 OdZ+wTLbZwNGXrGpcDZRKtd9Phx0bko77jrx7tmD7x4w8y06JfRM8BLohbiH XIL7uwc+MQbBQQ9Fe7tHmzkvDfjutMv2CHyuPQOeVvUZYJy99WndcgTi408s +lyuvQvWMxGnEXsYrvsETAw4YObVq7A/SUybttCm5riIojGw6PrAozw6q8dr ts+BPvEDe0f70b9g/4FNwqKA0cWgtyNmILpjzgDbL/B5Pn0CZi0HB71fS5xB 8s5X/ZPYQxas98GGBt0NdjeVKHsD9g+JaeX0HObVjD+z6jO3+hZM+4Bow3sF PydkOOeK9iFFt+nToI89DLYV/aMv3waM3QqyCOLFYGPD+oXdCevdTwGjs0C/ gK058ltiw4APH7R8zee+YwMyv2abH9rJOjWwBT/KVmPNIp91Kqt+PVbzMx+u Pg2r+oz3b8qmhz0JNgvYSTCHn4o/XKN/Yz+CPQn2IQtV7oOGpWdxcWWtGVrw uR/Ioo8v2A4AGwD0/8DYgTc2ODY8sgp8JvD9aLF9AEaWXm1wrHf2rMREICYU 5sNJg2PgEV+POPRDo64xaufCRp8xhl3DMZHPb75N9q3j8XNu9D1sJYZHfhfR PU7wjim3j3aT93TFZ5lQB/Hc6Bfxb/MNjjNHTDfKHR997Bl0gPeq2OaVMz+I wUL7sdf9DD+vknWKnKvJmamwsJxBx5m7U6OvJwV+8/mzBfvw4iN8SuCPKvjs OvC5nhb48MPMUfC9JwedobF/xwYCG4a1Gw0zX50R7UBGylnHnDd6Y8o2DCdH WWweoI+tAvfBww5hSvweHG0YFTi3By3ocB0d+Jz3ODbysYUYFe3/qcHjCh7m pOgXfYH2mMC/I8pTJ/o6aFIP9v74P2DzzxnKnDt2U8p2w2tELANsFtANtNgs AKMj+Fzv4umS16fuFdsucJYk52aeGXSQ1WMbgQ3kxgFjb/BG+JViW4KdAnYM 2F5uEDD2DMvXvfaAR+zE8UHzzKiDMx+wTcD+gL3b9KptCB6hX9g81KzDJyYT NgHIn9GPo0eHz0dHjN4YP0fWtQujPfgzArPGnS8aO9VcB/od9MToiLFlaK4r 5TM/oYOuuXOj6aN/3yPw4RU50wb5PGfcIL8Hhq9btu61tuWcUtZR9MLoZ7ED wAbgxfAnJh+dLfpgeEXOXOOsMmLpcy4aZ6WRh37jkYJ1HHsGHfA5Aw09K3J+ dK3AnCXXJ2iiI14LG9Sqnxd6atrDmj4rMX3iWtN+9BMtvO3U6Au24JxvRFuI Q0RcsPEpx/oCxj6fs8U45ww/OOhdGTSxu8f+fmrUNT5x38ClDPSIZXRtYSnt a4ImZzbRX3RE2HHwzpE/QG9a0DxL9G4o2C6Is8qAkaNynf4feEbgYE90fcH8 CfpN4gqzL+CcK36j6yRWCbHtkCui67wxcDjbDDrLZHxuHed+obf8seQz1aBL vBHqRTz0bdH0Oe8MHx7OCmQe5SwydJ97xfx/c8DoP8nn3Cryb4v3Tv4dgcP1 9oDf0/v8scF60faJ24zNLXXeFG2+LfBbztq7LcqCOzv6CO+MPg9+m5j16BTR r80p+Pwt4mwQ2w+Y+H53Rln4KM40mxM4dwWM/yl6UfSj6DrRJaJTRB/K+3w4 xjA2WXcGHXR2+K+iyxsRZfm+oDc3aK6f+N1jt/9ryeerUR6d3r3RZvSTD0Rf 0E/SL/YHH+hZ/dDgvtFfcNBnTkx8lhvne42LtjEXPYTNYNF0r4/xxpg5NfrC fhD9JWeDoeuEDjDzG7+h1/LOb4lnzrlhnFHHPIk+hnN8ms9qytnvAr0nOMB8 c4ytR+Pd8U08Ed8FeY8FzvzI57tD54lOFF0e+lP8Z9CZcn9elMUHZH7gkz8/ cFrqpm3oBJ+MdwFN/LrYTz1TCJv8nH2++D0h9IdPR71PB862MX6eCzpcXwiY ck8FDnWRj48GY4J3QJxV/Hyfj3FF2ecLS88yey7yOWcGnW4mZZ0selj23egk idXXvC6UrYtFD8t5ZeBwhiB79JcDHz3tK5H/SpzpjI4VXSswczs6THSonPk1 qslns6HjpF7oIJPYB5v8xPnIeTmDDB8uYilRFt3rYI2rQdiJEXsg8dkG4G1e 83l+9OedgtuP/g5dHvpa+BD6tSDy0cW9HTDnSwGzf18Y5cmHB0efCh9OHveI qche681oI7ENuUdcRNpDPrYHbwc+dC5OPFbRsfJun4l3h+7xvaCPzhLdJfpH 4jCif0X3+oO+u18b/Jt9HfpCdHycbfV+0KSuT6P99yi/Oz7a+r0aMoaiz2aq qGxj3bpT9I3QQR/aVPOZTOhkoPdB1Pud6u1a8u+Ngj7PjL5w1h1nqt0r+s8h Pyr5OySP817Wx5aswedLL6z5DCnO5OKMJupB74O+ED0iekZ0qOxRm/eMBbeX tYl9KPnY0mMjAT46xw5Njq3/VeB+G/joaTjDCD0R1yUBP1z1eZwtZ01xZV37 ourzqii/Bs+4uPS8Sa7M7cSVWlywj8+l6vdPBdvHzsXWruT39zO2kSWvn19V Ha8M3Rq4i6MN0PsxaKJnZ1xNjbZ8F+0B/+egvym+G+yPiAlX9XlO9OkP1fN7 yX1DDsDZrfAtbTgrr+Df6K/QY+HfzVlQ0JyYsZ7//Xi/S6J9tG2Nqs+CpTzx hSjbHP9f7+5CpdlVr6nMw81n9WZ9vg/xZ/DrBiY2MHG/OXMFH2qu/CYuHOfn /BX4/wQO+fiMk4/eAZ/ufyIfm2zsudln45eKrgv5D+XAQdaHzot8ZPXXJD7n mGA6xAan3ubzaOrO4+xi9FucU4IuDD9OzhHBl5OYecTOIyY6V84RIf4A10zg AIOPD93pTT4/Ev0Z+3XayZ6dNkAf/gcZPHJ/5PBlbBmU3mqwnAd9CXsofHaA 0ZUUAp89eLP8P7GOgHONkPMi40X2jqyTvqMrAIcNGzIGZBzIGZCDgoOcHDtF ZPfw88jsgZGjI09Dzou8Djk5MnTkA72DTjbk5OQjV+fMdnyW2O8TI46yyIdz 8ax4PshpwEFug8yWs8mQ5bbIqZFdc05NU/Sl+RyAxDYtyKWRPc9Hlib49KJ/ ExOUs72IEQq95YMmea0iv/ncp6BDfATuEU8Umxny8fdl/w8+9xlnjEXGLDFf oUl8xKFF2+FiH38Qe1rBB6Z9LjEwvtjv1xwvd8XEZ2K1jnzkuciOkRvfkjif mCT4LOLb+EnK8QyIa4C8FBkgMDJGfG7xvW3xxwV+ImU5NDSJo0veqpGP3RAw 5U6PfSi6fnxw0Wuiy0AfBIweGD/c1SIf3DUDHz97fCTRyzfWrLPHX3J64OPj +2C0H//OhprL3hbl1o6yd8VvfPfBXTf6yzgHhsanNZ+vjP0Qej10gfhGomvG fxMd3yMB48cJfwqf+kXKvpjA8Ktc20U+vDryU/he/OH4Dd8OjbZBEzkq+NDI 6pudpe+vb8l8e/so+0TisYUtAbJNaELv+ZLjGvOukbttEt/X4xq3/4S/Yk40 Z4vmQcKdr/x0xXjPVCzf2TSx/IO4YPAe+IcyxrDNZpzxm/3URzWfVYx9ErwK +MhjkGlSD2sivqObRVn8M/BlZY3givwbm+dt4IlqPvuw5SxqxuHNic/aZjx3 DPi6lK9bB3xm0XSgDS+H3SE2eJMSw/B1rRp8BuOXKcsi8Lto4d+BZ6Yc7x0c bISIsdwx6LfUTez8SayPSgXkAYnt9uAP2fcjC8BOD76RfGz54Kc4HxSeCh6K MyrgeYjJ2TXq+jLqJlYqtDtFm4fiq9jg8yPhW8nHzvC+iumwh8DGD/rwdLR9 56DJeWicVUYMUtYzfrOmVBp8TiRnRK7Y4PMi8aEmViex47GBIa97wAPUhv41 r7GckccZchek7C+9R8Csn3/G+ggt6IxLOZbubonPgNstyrLOct0tyu6NfF3p 5bLLdYt6ibvbI9pPDGHOY2ybsk8y/bov7vcMnL0T40xLOR7K3gFPTXzWGGcz 3htlJqZ8hhZnac2P9tCX22KN5Vwx1sHHKoZZezkXcu+gQ3s7x3t/PvEZkNQB DE3sQ26o+Swq1mLO2gJGFocNCedLUT9xOTizivOquL9/4HD2H+cGYqszWNdB ic9GOT5tuH/K55/0CXxwOfcCG48Doyww52CQT0zsQxLTgk5Lm+AZOMPqwMBH dsz3h16V68EBPxAw8Qe4HhT5tKF/4nNYuA4I+lwHBkzsU/BXiXZSF+dnHR9l wMGPEXzitJAoD232gsgEORfjoWg/Z3wMpd+J11DOpjkssT6a66EBg0uf8Xk5 NHCIpc2VMuh8OZ+F8zjQ53I9KmB815mb5kbbDol2to0yLee5HBH46I4Pj3of jbax1yNeMXVzxgS6Y+ijU2ZNHxrtBxf484CHJEt5BmzFmNuxFwOGN5mv6/DE MRaIQw4+8e0Zd71j7FEH/aG9xIMdljim8bFRFp0112EBd9RY3bK29BzWYyMf XoA4ZczDxETBdhwd61OJf7fAxEknlgpyFnCIPYDcjzzicD+TOK4ucQdYU5Ct I7tnXSC2ALEISNwfEPjk4x/EdUTA0KVeaOMTRD40iI9KLAJ8atBFcCYf+gje I7EI5sf11MABd2TAsxuN3zFjfQZ6DWgQI5R2svZRnjLEyh1DP5XapVxuVJTF Fvr0wB8R5dFNjEwbv23a/hJjouzsxHGAkJ9wf1zg3JEYZ/3AHRvwmYEDPDF+ A5MHDN/HMyTWA+syMlZkrZzLih8IdKifM0rJRzaLXBT5KfJKEmWRW+J/xLN6 MuidFTSx60dewVqG/AZdO3Ih5GfIv2amvJ4CI//aMnDoI9fzAkZ+AAwN1knW 0cmxbrNmI1OhPHTZt7H2kc+aiP/j2VEXay5lmYc5LxT9990hd6Gd+CJwZuht kc/+nr3/1iEPQfaBnAWZOLoEZCDsMcFhjX4r8pEjkXdx5LMnY7+Gbw37Y+Jo nBnrOzjUw5ghHz6H66UBQ29K1MX+lfzFse9Fjs9eGFugKxPbSbKnZW/LffKu iHxwyS9kfM4p9x6NfSV2mdBAdk07Wct2rbkM+ORdE/mUuyrKsoaxXrasn8AX xpoIPv1mDieeGmsTcwjxrJmLmG+nJZ6fW2KuMc+zXhBznLUDHyFw3o+5jjjj zJPIx4CZA7HpvyHxmfU59vyJz3jirGzojMz4/vTAwVdnRuJy5HGPc6Z4/xfG WCVvRuTDj5HPGOFsatp/dsaxw2YGDmdLAbN+sn+CB4UH3CrgFr70loCxiWCM tZw9wvm0n6bcnhuj/a0Df+WgfWPURblboyxnUPB+CynvsxjP0H5D1zcT61z4 dmbHd8T8wHzB/IHOBf0K3z3xVMBBTsu3Piu+94p4rERpYYPPQ5mTWB74e3Vp Ht/FnBifnMkwN8bA8/iWVHyGCnwW+fBjXO9uGSfsu2IMYLd8b4wT9q7wSKxN jDFg9rncvy9w+gYMvwK/QLx1eAb4HWjC85D3QIwl2nhXtBNd5v2Rv3e0hzYe HPjQIw7/aWH7Db2Hop3onjjLDTuiFxLDa8a6yrm5rK3sxx+Jscr10YCPDhhc 9MKcQ44e+fHEMHtz9uiPB8x6yxkDpwQO+zfW9xUCBpe96Lz4pngWPCP4N/Lm Rz77W84n5pvFb4v1l7WY9RYYn0KuT0X+CQFznzWWtbglfjkwayvXZ5Kla+4z gTs4nhXvgbH5bIxPrs9FG4ZH2+jfuBiTrE1XBs4V8c6fjzHAmH8pxv2LATM/ 8+x5B/BmY4T3MmM75TiNLwbOK4nz0UPdp3G7khasnsjsE987N8oBc2YfeqNX I588YPi3lrr5TrEBeC3eBe/ttXiP8G18dxNY61P+Djnvg7w3Ip/3+Hq8b/IX JP5ON1HZt6hL8MYRp/ydoP161DVS7T8F+XjZuk/KUifnCoNLLPOBFft27S46 P9U1rkVrzZL18u/yXpW/acgGsK/qWbIO4iP2gCr/nuDdBLcv+zzag4kRqOsp /4krwRUb2l7K36pkP5V9sWGpO3b5PoJ7FiM2qup9P3EMLmJcgIs/S2/hHF13 jGlipIP7Y/ClvHe++3zQ+yllPvyF+NbQU2BbhTyZuA34A+P3h60YfULO3yFk FeDdX/EZiZz12FT2ecn96pYBYLMA3/6vrl8rXZ527Fba9bNo3l72mZrc64Pt YsSRQLaB7Qkyitfjm+UdvU1spYpj5U9Vv7Yt2pYLP39iDsyDVxfN5cv+vQ6y uCbb7q6svJXKPsvkmrLPNfk+8bkm5HE2VCfldRT+a+wpBC+O/FllxxnhN7a7 xKbGtvb6qu3SiMm/a9CjDfg/4SdFXJwtGx1n+xf97iacP/jGaGfdMeefT9v+ nLjZ2H7vIJxfI38N1bt62fEd9ijZ/x/f/051nwVMO28t+7xeyuxVdAxr/K6I B/Fn1PW+6j+naLuxGWrvNgHfVLXdGOcIbN9oPcs/ghv1DL4QvDt2f8rfRSld dCzKf+M97ql6ly37d03XjO53Yf+OvLvomBhbokco+vdWgrMln0XQUfB3RZ9X fDo+QVX7VnJWAHnExzixaL+9gzNOlOP8gh5ln1PAc9yt0XTBm4V/etnrSg/l dxP8JWNK103KPldsh7qvQ0XvDuHfW7bP1gj1d2KjfcCIVYwfCX4oxJ/GTx0f q9OEf2rVPqa389zK9hHsqXJ9sU1TXSfpd1K0v9632F8J3l91vid4QozV1wRv rdSuwT7q+Krjk0RMfmJhf6XndpbqXVbw1aKzQYPjKl8geFvBPYrGu0v4dyr1 0TM9Xu9lm7Jj4nP+JHbL2Jw8XvEZ65zLfgLxOcqONf9exefTE4OW88RXKPqs cOpbpmiZ9HOi/azS/Y0+33ylouMacmZ3m6JjAY6u+9zv1kWfd80V+QlnjK9c tFylT8XnUnCO+HYNPlOcMy/QKRADAT3CGXWf0U0Z/MbxH8eOmrO5wEUXydnR qxftJ8JZxKsV7W/SVe3vUl5qD80VWTf+ePjl4c/3iO6vUvY3vapojtH10Lpj 6jNHMD8wXoilfELGMTM464eYG8R3J44GdpiDGhzTnNjlbRsdR/22tOcPaDNX cB4QPt+c3TM4fObwcyOm+ga6zhbO98ofLviAus9bgR4x1EdqHF7QaD8xzjnp UHQMHs5C2aTomJ2HNNhfkb4d2uA4lcTO5qwTrsT3OqzB8dqJmX5Eg33PGGeH Nzje9hbBe9EufAeJqw4uZ51w1srGRcdrJE4kuM1nnFTMd27X5DNMOhbtC35a k2PDYVfKnMQcyrzE+Sa8a84iuUV9v7nqOeZxPedlmowHTebwx4R/XdlxcPm2 3xHcquw5lTWKtY8zO/jmuc/ZJMydzJXMk/OF26bs33vounvZdRPbfsei47iz 5rAmcuYC5xcQj44zATjTgDMOiIN4b9WxMLrq95ENjlHIPc4m2LnoMw7+jHmc efWHmPeZ87+u+GwGYhqyPnBeAWsE8zrnDDC3E7eje9GxO95WG1crmxbxhonF 8S3zqn4fWPfaQTxa4tYSk5YY/MPrjr1PnHDmZnxd61Wfc4DfLPMC8wPx9B8t OSY78dhZ/+EZiKWOnygxsfAVZY2iPurijIM9il47iMt+bN3x1Vdu8lzfq+j7 ewXOUXo+l5T8HHdgnNdN9zjBc+sel8TPIMYu8SWwtSfmBfb2OxIjt+7fXRoc nxe8MzQ+Pi0v/c11StjyE7sBe358wvENJ0YusZNpF7GRibnbp+iYYZ+wXhdt +/+Z4HFF2+9z/gO8A7HEu6reW+qmyxrNeRfELuZ9896JS9mt5FiY7N3wkcZX mm9ietkxK4l3eUL4GeP3e2jRec/nPFcR1wf/NuJTEruSmJPEwuwXOMS53KLJ +XeWHctpQNH+w9DDp2py5BED89Qmx7jETr1f1Aed3+p+H8RZ/LjqKzEViWc5 qOgYmN+J/t5llyHOCPFMiAN2S8XxaJiP55Qdv4kyzHmcecZcSBwzeNQz645z RLwj4lz9QDwi1btGybGIhhRtAw+fcnTReRNFc+Oy10bsN4kjhC1ozwbrStFf /Vh2DCN+E0MIW0/sPLs3OPYQv69o9LqJzzJ+6sQpwFd9RqN9rVlrt9bzebDs 9fiaRvvxMs9iC4NPPvYwxO04rugYHMyXjFP8mHcX7Vl10z2+wXMl73tU3X7v +LWfVXZMAXgT/OvpE2v9R1Xfx+edK/jwgPAa2KvAb9zc6PUA/gQfeHzdsVvZ g9hTdbfvvLJ96ClDbAHqgfeBpzs1yq0qOqs1Oq5eP+FvVfb83r9sffcKyDwa /Y3xDQwoe727KGsfLM6Fx4aZb4P7nWLNRB/Nunlbo78NvpnV9DwPK9svYc8G 6/bQ6/EtcZ/vMtdo/xnuMcbHxzifVLbPE3Tzwmnd5HsDy/a1gB+aV7X/Bnb+ g5U/qGxfDuz/ueLrAR746DAPKduH4ZxIwOhU8YPAbwLfB3gsyuDf8VTVbcfv AH6XMvhN0KdDyy6DjvW8ouXGd6udi8tLx9wFMWZ/L/pcPngSdNBT4pvCnuXC ouWC6F4nx3d6oWj0KRvvXtFcpvE/47vo/Q17BfYg7D94djxD9kznM/+VTes+ lVsjnu8Ryntd7+CyouVG/euW/6za5GfHc7y27H0OdOHF4M3Qa5XUtlsFX1n0 +sk6y5yJzxr9mq7vcazoPNRonE9KjglOrK12cYX3WFBx/EHiDhL7mRjQ8AAn RrvYK59edz570jcavN/m3t4l3yOfmFOc10NMKng+eD90cayZnPXDuvlFzXZZ 3yu/CzoR4lbo921V893YuF0F31c23k3EiSj5Hnsh9kQ/wM9WHXOW+IyvlhxT byZ0yo4FAt7Oor9Vk/OxF8GHERuSl0uOVUe98JstsegW6zncLLhJ/T2n6liQ xIE8En+Xip/1NVWfV0Ys4TvKjrfBXndo1eeNcdbYG1XH9LxTvzvo2c/R9Xz1 fb2acZfLek2bW7S/SPtGn390rnDGq73PNzoG6FtVlwVev+yYosQS/UttuVt5 NcEnVBxn5ImiYzLcp+st7FWL9u/CtwsfL2DssvdrcHwKYlP0bXBcCWJKEEfi QeoS/I/gRwTn8vbfwo8LO2L2IvcGzYeLzse3i7WOuIjETmQv8nDkTyJWZ9H6 z9MbfO4UZ069qfxpRZ/pwZrE2sRe/66y98asl8MbHNONeG5zy97/g4ePEudl wdv3QHdf8u+n9cxGN3ickZ6K8XZ3xedXsRe/q+IzqNjrs/ZSD/vpvURnz5rL cKbS7bqerbLLVR3HmbjNvRq9P6ll7WNF3G32DsgVOK+K86R2qfn8PsbcWLWl UvJ5VCTw/9/Uncf/NlX/A7+fz/187r3v+f02ZU5mGTNHyBTSREUypDShlAY0 D9IskSQajWkeJU1SRJlCUb5CkwwpmTL/9vO+1ufh98d57HXWWXuffaZ99l7r tdYyV3xW7aO/2Nq9YlHi1B7RT8xB/+GjBolj65hYquK1ivV1Wyd+15ctSrxR cUfFrH3vIPFVf+cbGWdtIF6aHDBywVgH3NVJ/LirF8V34ZpFWUve1M26Yi4X k/WFuai1izWR2CQfqvasa7fqJM/TVnUPLq/7cHOTOWmcOqeP0xf/snvGWV+p Y63inwaDaf7+x0XJw3R3J/h+MTd+OE7pXf03PGY/+NSPjeMbwC+AfwDaHGPv To7h39sJzvLGduyBTvDrYmucN07pHd64k7xE5szmCzcvSpyv7XqJ6yXO133j rMHIPbs903sX5X5ZM1lnmT9bp1mvwYqKby7OOR3J1f3oR/6uz1Xi3zoKXkgO 9M/1or+w/8xeYqtZH/95EL2FeeJ5vcxB7b+qYtWZ351vfOvl3Md2E6fGmvgt jffmXs634yg5JY2t946ztiQH4wnr6V9PH0NX85/WtyPMfXrZf6gT/OgdixKD QYwGa/PPd+Jrwc/i0nH44jbs3EtcJ/P3F/aznn9oOsf/XXXvdp5F0QksM4z/ v/0Ptv5d20+7Txrm2LHj6A/uLvndR8lv4hn8Zpz4FGJTKH2PdAXiVfy36AfF 5elGfl9xmMW2bvR9jXdi2+5v9AndtL+ATbv1/6he9FmOkZW7Rw6f+4veb5C2 PjGOzousfyJ9hjmE+QP/CzkSxZF7qPEeXhQfty924uOwDdtTu97r+9nvtvY6 /je+FTFhYVmqlMsIBv6drV/v6EWvTSfpmV48FZ/Ch6p9uj5jzk/pA/vRwU03 +feYN/ZCf3yc5w7fS+etPTq5F9cxfH2X51H/6eTo9OQWne3kGL8S8fZmi36k m9yQ9n87TnxMsTH5lYj3xycFTwxNvlGfrn4tPu9sjuG/r/Xxvb2c79Emc8Y4 da4Ypx0xA5WdavOxJvO1cfb3GGXsltPnt41/V80FngeP2sm/4Td0kvXP/984 ORfx39dNflZrx883+uRxnrmx2bj9mxr/jGlyb321kxi5l7Q+n9rkt63x3brf uaz99cea33qf77AcO2JxKJcoeqpd61nj2m/bkp2srR4bJzfPksWbFP9l9f6z KYvdu3QnsXxXaO/OLb0c8y8ddpIfy/FlSkZOAzG0r7UmbbIf6GX/45Pk43Q9 y3eSiwD+9iWDxI+wv88g+3IViC2xfMlM95LDwL5YuSt04q+nXLFosXjE5IHp OsC/qZN928rFF8ebbmGpJvuNTuLi/t6cYZIcmfbNSVfpJBY2PZk5q/mquYy1 qX/EXu3+vHiUuLTP7STnC3uNvC9oejblGkWf7B5Msr90P/9g/1//0jU7+Z9q Ty4TcW7X6aSkN7u3l3i1+kGXtk7x7+klNq59cyK2I/+anflC1TX7h6/byX9c zKft2vaU6cxx1u9Eh2R+TQdn7n1fa3PZ0snRIcmFaX7t2/CN/KHeIe+SeKzs K+ws/tFriKfWSXy9Z7c+/LCTGHVip4l1vjjO+WyOwzfS19DbXFd6E/qTP9Y3 5lsTT9O8gK7K3ODLrZ1vjp9Yr1tf31BrXWteMfLopfxr/WfNxc3JxdMTq2+z olefZO29WfV1o+qPObJ5tRh3YtptUfQak+gd7LOJsaP594lhJi8XHZh1Pz3V D2rMe3on/7vF+rNO5i10G+YZ3h9zD/G+JtMpn1G0+cU2ncwx2APNITxT84pt 69nd0e7zKb3E7TAvoF8zNxBrZftO1uVf7iS/tLGUv68YxGxnd7W6O3XiP8Mn W1xmdjExP/BfPZ31HF2YNd389q6+oJf9v7d382+j5G9R0mfRZYnrwK+HTY/P Cd8Tdj9xnbW/6yQ6BvMzczM8OXbxxULWt+c1+hNtGw/SN3lju53M2x2X95bM Jt3YrtitxG9+QdsumJc15vOLvrS+Sd8je6a1onXiLt3k/HZsN8+uk/eV3koM ff675zT+z8bR8Vj7WQOi6VDoUvj1XNVktupmzmIcYJdlk8Xzb/Nfu6LRm3Yz /2XnZMOFo96sm7mjeSP9ihg31ohXdnPMXHLtSdbt8pawibKNwqh/spu8a3Ku aZut5p6p/Nf0338QlnzfOhcM+P5Vd51J9Aj2yb6s5M8v2j24oJ8cX7A9O7Tn sP0g+c8cP7Dkf9ZPPrTPlcxBjT5tXtb9r+xk7c9HWz5amKD9Wx9+UTo6pTxm aG3Le6otvFcVX6wVOcu+7dnVMTpYeh/6H7j3k0tG7NLdWxuHN/qNbdu50TsN kqtMvJWDqx08OSMPKZnXdZLvzNxpLq6/2Lto8xC5FeVYZG8S/38uLu9rql1t XjgOn/yPi69fh3VzDP/Zg/RLW+sZK6ufl3fzHltXrc822so3k2nf5nMHoc8c JQ8k+9d65rqNvn5e9MF0xeb+ZzT+4aU7Pou+ope8Rl9o2xGdzLHfUm2re3dr /8ySEbNKLCw+8SsMw6NXfhWdg3/QMPYJuZjFFlXKj/SPcUr5ktD/ZYvpJTfR OZ3kPvLflwsJTxzQr1Rd7X21yf6gk2N8cMSMkmv6oWHySNsXo/WoOte7O+Ev aO/5Tu2efb2T//qkG/4qM1nnr7go7+09re7abbtonLzX8l/TM8il9oFO+QiM Yn+X4+PbvcxR7B/TiQw9xsXj7KOf1A194/zka5MPnB7jwtqHTaJ7ObrRxzb+ Pt3UV5fsh0v+0EHk0fIp8E28td2Dy8aR095avbzPl89LDrSPd4K7l3/to3Ut l9e1Xdzkj+1Ehv7k1+Pso5fvhv51k/lXu9472/YkWP/Wh736sVWqr124o327 qa/u6wfhOxcdB1l6j9tb/dvadlzbH46zL2/Ccq28ehxaLgQ5EeSEumac/cen sp3QSYx3Nh62HnNgeaZOKHk5gk/qxAfzz62PH+vlP3aJubD3airlSUXf0cn+ W1u9fXqRu7bO86lqc1Xzyf4TebWV9AbWnF+ob8Qam52bXoKdhP3FXGU1tuZ+ jv2hlSf0UudT3awJ6WSsH/TRf5a9wtza/PkRfe5mjXJ8N2tX61Prry81mUea 7K79rNOs0bxfp9U7dnAv74T3wbvunTeHvc41te2Mth3Sy3sw9w6cXs+andhx sWHP6iQ/M951RZ84L2Mq+5ZxlW35rJJ5tLV3cjdrILLyO5N/Un3bvusbe8n9 rA57L3u0+Q975lfqG/9sL/Nd/9pn9DPPNsf2vX6tvtlfdDNPdW2f6eX9WQnW vpf3xvvCJiQvixgecmnIqWFdhvetov9BF95L/44qefyd+1k7WTd9p+S1N+4m R70xh93pO8W/dZzcOTMzmQ+au4qtfMAofst8ls0VzBnMGc2tzbHFJ913FJ9b c5+LW9t/rrWLtdFFnayPlh1mvgZTsM4gOAP77Gb+wcuWHdK/xH/E+Gic/GL9 m9iZ/IPEPZXvW+zTjflyte0Xnl8nNlr2WesW+WnkpvlpHcO/sBNZx/VJnHEx xvXxV9XPXw8jr94Z3cT2Mq+zHrqw6m7ezrnZIHWUX+qnrTO7iaVl7gdvZX5p bklHbn1Mb2PM+02Ne/Bc5qbfr+/6kvqWxX7mR22uteEkeit+b+LeKc0BfAfy zLPFn1HfhbjIcHPmf+Z+lxffO0znTvcuvulG3RzDNxf0nlqr0eeQoef5ZTdr GM/7s930/+zSTV1V12IfLW7ooiZzdSf6E/EE0Hw/ldcUvfFM3jHxatalg2r0 LtM555V13mtLHv+Ubvj6jucYG4Fn/sl+nrGcJPJsiTNjDHqsE1zTncP44ZvP w9Kh4dvPrHHEPcP7U8mI4ScHoTh+0/3w1TNfMW8xhzFHkxPCvM7xG6quPAz/ V+OJ8sai5UK8vsaNVxdfG+ZZ4hOZd7EFsQ3JFes9v6mOr9hNLOCbS/amev/x yZvnm++b92vjr9XPVSeJdfTnkjeHgiUyj7ql5NWVD/WvJe/a0OZ7cp2SX22S 8h9Fr9JNzAKxYMQfpQ+3BjFnI+M8Yp3dWny6cjJ8oJW3Ff8rNe9z3DvvH3ZS bWIQ+Pepox3+zmIS3F7fhVwo8rDwrb+96uK7d+6TuMgrd+NvT45O2nrCWkOc E30Xw4A+3rrE2uHrtUahn6f/pg8n63rR1qTKu4v+b7U7pw//b9Hqa1cfty55 7enPv+pc/yp5vimX1XvoG6Q31+biGAXjvM+T0ldY99Kh31+09a+4MOLDiIVA tyzmgDXXnJzj9xafH8aaveSjopuiX6Znnjv+YNVVPlT012ptR3bVbtp0XnMF ObfgCcXFQouRdc1Uvjt+1ubdj3Yi+0jR5tXKR4pP9vGSt0af182367pdv5x5 D5e89uWb0n9xMsmqS95Y4r8l39vj1Y7/C9npkp9f9Foz8R/lcyoGnTilYrrx CXOcnHicN/RyTGyo28aR2XompX0x4P7cSyxU8VXEprt9nPh0ePb5GooxNVPt r1bH8I2Hxkrjm3rkn9/a/0atfb0LN/UiYyx1/8W/8Lz1vV/9N64YX6wvxPR3 7Ci6kXFkfjGb0r64e+LT84/lGyvO3p3jxNrDsy/mnnN2qm98ZAfFf3udyzim HvlLWvtPnslcAs7HumVc84rru4mpYJyRM02skU1r7mHdYv5jLoRWzzpsye4T 8cnIi4cmVgm+fyUf52W6mR9an1k/qLeFuKrDHBcLw7fvW1NvqaprTaOutY/y SdWOOSfacb65y9b9sZ5Yrpt1x7rd0OaWyuX/P3rZkjH/xFfPOGTcNk+5rsbw C+q8S1cf8FYsvnFKn/lA3VLj/s3FW7muxfixco1pt9Q4bCwynqHFWVGu0n1i vFqlxuq/1vvj+/UOocU7Ua5afN/3qvWOrd7K1bqZX6HX6GbupFy9+BsUDUNr nrRG8eFq1yv5x7vBaXvWsLnr1n3DW6v446K9QzO94KVvree/dr0DynWKv2TR S9S9f2o9rwOK1r4YQ+tX35ar8y5b/V2v+KPqm/d22/m53sZeXK5fNP0ljA4d 5hu6mTMZq7WzQd0jOAx4DLYd80S+CnRd7Ef4e8zLfBC+nx7L903H5X9hPsVu Yh7l/7NpPWsYIlgjumFzHzYU8yL2RfZNdjC2M/Szp2PbYXtiV4Tbht9mR2Lf Qe83nXvz9LpXxnV6uo+U/VHdvRv9zEXBQ8M8Wp9t04097A2j4Izhhv236W38 x9lg2GKsKc0lYUPNRemD4RdhF78yDh4R9hC+CQ6Kntuax9rHGmIx1q0bnfDv utFRmpN+aRy8GtyQOai5qHUJ/TdsGf03PSW8F/23uRgdrvkY/TE8HB3yqeP4 ftBbsw/QKS+OzTaOrwj/kNeO4wcC1wk3cWA3+hT4UL4iMLPw4y/rBs8tPyf/ Crp/ug3YDjoNGOeXdINzhgehB6EDoYOB+aBPgPWga6BnoC/crxud4ZHdvMfe 4fXrHfOuyl0Pz70Yy90LRhwWCZ6UXwocrm9oXN8UHNDLu8ECwcbByFmnwhHA J8ACwOHB47Grs0+zU7Orw4nA6cJsssGzxcP0wT/CQ9JbwHjAe8BsWI++rpv1 Jl3jod3oBulKD+9GX6oNGFb2AVgHmAd4B7ly4AL1ha2dzZ3uAabpbd3YZNh4 j+gWpqqTe+T+wG7BSJ20KLb2t3ezRoCReWc3diq2RjZH+ht2Y/Jsx/QubJB0 L/Ai7+hmHUPXDitD3w5H865ubEqv7wZTwj55WSuPrneeDZwehA6E/QdWgw2I XesD3WBI6PuP6QaTwe4hx4k5IdzER7qxdbBvyEdi7sauAlswhyuAY/jrotjU 2dbpaeAd8GEb2JCP68beQmfDzkRvw07GXnZq6SfYaegoXAcb6mI76zj9Z79n +2ebZ5dnn0fDCbDDs92zzbNdsyWzI7NxowV/cf8+W/fwt6XzYWOGQaD3ofNh q2azZs++tPRBcApXlL6FndkzPKWeoznI57qZh8CvwLHAxbBlsWOxYbGDsoey mbL/sQOyF7JfsV2xW20NW9XO8axO7DPW89bybBrsHOwa1uhndWOToW9gY6Nz YMOxnreWp2f6cTc6R+v1s7uxydAX/qSb/z/biHW7NfviWDbd2CDoNsRSZ0Og //9uN2tBeg6x0enN6cvlwLP+Y+tgt2CzoE/6QTe6Y3pdMd3oD+iEz+1mDsUm QC9AJ2AOe14381j6s/O70avSxf6om/mOuYd5iRhZdE7yv9JbGnv40vhX0AnJ 4UpnRKf4827WanRedF/W0OxHdATGZrqiX3WjL6ITuqgbvZDnCQfgP0bHckk3 OhN6bPov/wE6lV93o5fxP7msvi//20u7+bfQh8k1S6fpXYM58P9kr2e7Z7OH jYTn9M81l2ZP8r+1lmGv8t9znNzcf/vakp9t48Dvu7GJsI38oWg8xw6dZN3K buEfeMpMjvHxsX5k67qr6pFX94F++376iVvHRmdObL4nF88OTWantt3Q2lnY yqlW/onPgHVM+76W6sXHCfZ2tV78zeBt+734OfIVEntbLG64xLUbvzMJbvA2 72A36+J3DhLL27HN2vuzadsWTXL81pK5oRv/6EfnxecYDQf7/kHia/cm+f7g zOAy/tatOWWr+5du5qPmnE8pvuvl6yZ/GH8KMQydix/Q7nUM/6m9tA1Lecgk Pmb69btxsHH+FSu0usuP0ha7/d/qvPRkt1X/xZAWS1q++3u6oeGx+dTzGeMv xrfePn3ylsOsGfiXwbqT4Xf/wUFihQ8m8Z3nU8SfSExVsVXh02A/9Vuf/9dN G9YRZNXha8/nHk0vvXkv7cGaPrnuFUydc95R5xXLVpxbODTXe283emC48nvq WrZv7dzd6AdngpeBqTI2izsp/iQMGN35g9UfseLJw67zTXyo3h8Y/ruqn8+C vaqxQr3/VV05LPDh29cdxreW7Yx9/i/1rPkYPVzvJ332vF7mHubU5v18M/HQ +L5R+Bu4ia+Pg2HyT5jtZd5vbv/j1rf5vdjeh734QPJ/FItoMknsKXplOBhj //EzkSPjnwPDBKPhfwKrBENh7aD9x+q9hvP2bvt2+en5fvlXy7kr3+7z++H7 3vnk+d58a0tNci52Xt+LWAPa+01dg/7v1k+f/7kw46u4gsZY36t2+CYbA8Qc dPwbM/HtZefyfHznnhH/1FV78YviC8onlD8v2SV68QVW2uc/6DkYL/5VvlP8 vOaw8LDrc750/PX42xozYJqNG9qYVB/4+C7biw8Wv1512y1ZjP19UvG3adf4 yXH8W/kvLlF94CfGX+z+8lfjj7ZFxQGFJ+fHBvP7lLqu49qxlwyjlzq6l5Ju CvbZWGYc48fFn4uP2mbtvMeP4xesbyvUdY37eTbuuetYq67ltF74npdcyp4v e4p3eb16n617rH/YwdacxFdk416woTCifE34w8p3aQ21UR3H50fCb2VBjWeb 9DJGfbN9O8/mR93L971ZL2MOzCjsKH9Y2HPjgjHBOLFFL2MF3xd+PfxdYXX5 ofBbFGudHyrst3ECbtVYYUyCnTUufQuGkT9gL+PfMpOMh/w42Vl2mpdxAmbU WKG9rarNE3sZC4wDbJpywV/K9jSJz8lOvbSj5NfCZrNj0cZ1fp7GdngpuCl+ jEe3vrx/GJ0TH8Dn1ffFh5Av4ZzvKt9CPD5nfOK873A28DZ4fKv4WLH58/3g AwK3zu+F/wv8+9P78WH2nrDhwwDwm2GDfUkvNlC+H3xAYM/F5+ezCyfvWvfu 5Xrh0uDT+IjyjdJ362X+T/RrdGvva9fy3mHyaH5gmOuU+9G6iu+Q52bc5Ttk 7OVDwpeE743/OV8dvjT+QS+tNo21fIqMt9p+zzDnU4f/jnceRvjIelf1fZvq P38bfje+R/p8a0XrRLr8Q4v2fh1S7xh9Pv2+9aO5kHWUNRT8BByFtYV/+Bt7 +Y+b47+rl3m+f9cbevl/aeOwasc8ir7D+uCt1ab5lXf/4Hr/rVfe1MtaBm1t Q5/x9l4wwIv70Mv3SBeBR8dBv6HNt5cMTK5zmbPp1zuqb7Dfby55vHdVf/De UufVpnasBelO3lY07O6767xwQ3BH3pdlB8k1tdjnqvHe34utm07lfUWr957q A+zn0TWOLcZS9GI3hpmDnfN9s5Oz6dN586PiN3Vs3Wft0OXA5MHmGWOsdT7c Cw+G9IPVpvkg3y3+V/r2vhqjjE/GMVgtOCd4J9+NtchxvVyf79h3DU9knXF8 L7LiLz51khiM7Gzsc5u07UmD5KO1vun0Yp82llpjfbSX62N7ZoOmJ7b+OLHG E1gBmAE2AWNwp+quPkj71nef7gUbxM7GLnxKjVf0QOzobJPsS3BC7FCjknEP zZXYzs2X2Ev5L/nnbNlPHIfFcR86sZ8a163PNphE1prp870c5+clhoX/nfOx 3RsPNumHf1fFuCDnv8pfFfbId8PP+su9zFsWY8F6+e8YkxzjH7byILgj92H3 fmIdGOfhhuCB2LqXr/b1Qd/5U8FvqgfbZGx78iB13Gdt8NGC0Zv0E/vDPEHJ PwqW87p+cPn0B/xh+fn4D2/aTwwO8wElDJB39gP9+KwaY5X8f/z/392P37Ix md7o3F5wl1f042dijX50P+cwxtLx/KAX7KqYEHwq6Hiu6sfHg27p/f3cR2P7 Mwaxc3sWu7fx78LGv34quoef9oL/N14ai42ZdFo/6UW3YS4gHoE5zjOGiYkv Hr6Y9+jvtXdja/9kGNa2vQo2wHcyFZ3Tj3rRnZDdahJ5+jD+Hv7b6pE/t/FP 6uU9hCdboxffe/Md8zX+5+YsbNwX9YKjWLkXX3rzo21bvV82+iFz8mFk9GH9 mfD1GW+7SeruNkwOlSUa/dd2r37d6NFM9CgX9+IzwIcH/7SplM+cRGabYc73 ura9sh8+2b+IQdHkLmnbju53L+tQcSmsS+V1lQ/2N8UnR57/Cz55uWLZ3C/r xUbJVqef7O/bzqbO6VPhPWuS/u86zPk+Okm9nSepu8sw+9qElb2invsuk9Dw sXsNk3dnpZnEU92t8bYTv2UYuQ9PksdAjFWx8tDyHKzQ5PcchpbvQPnsSfjP aeXVbX/FRr+I3rlobV9ZdV80DP+fre4Lh6nzxkl4u08i79ldWM9UO1fXufC2 mYSv78+fpP8vhm9s9McmsVk6Bgvxt8b/g+/FfZ9Nee5USny+aUe257jHJD5T tut6yWcEP3xN9fO2fvgrz+Q8+DDDeOrim+OLB2GtQI/7p178OA6cJO6v95+t ko2TXXLXXjBPc7qf/+sFFyV2C5lnli2V3ZSdlO3yRf4XM7Ef2GfHlGtsr0nW sNsMSm4mbbxwknPJRUaOjBg22mSHVe45Sfu39NO+tvlg8MUwvt3aS06z+2cS 50DcA7Ee/tnLMXy5uG8repdRziX3Gd6LJ+HzKbm5F/3xB/vp85dbvZsb/dlx 7hXcvzr8SuRT0/5BC6KLuKOXXGkvnSS2jf+pGI//q3tFr/zvXmwRdNV39WID ubOXuubt/KT5TfPtp9f8by9+FgfNJp5WdzrxtV7SZP+0MLgP/1BYjjcN09Zp sOe9+E7QB9Op820wT9+tF98JelM61L/34m+yZy9xDcy7neuBRr9iNv4ED/Yy bovb49r6i3J8n0lkLvcPGmfM33eS+EPW7HLNyUcuF/mg6oj/g/dI2742m+u4 v84lfpH6gpT1BvFVMP8RD/Oheh88x39Um/KcP1zt9Adp07OQp1oO63/MJv4Q Wgyi4SD+DOYteHJdk/ldo380zn8N/udlk+QGnc/Xte1vPJXy5Y1/zrzMsx7r ZV4kXpc68EJwQWh1zbOm+plD9qvuJlPxh3i8l/8mnQcfA+se8bd9h89o7S0/ CGbd3My/zLcpRuhyg+DjzeWsqxb2M7d6cWt3UaM3nAqtr/r5ol7iBVgzPXWQ 69LfTj/yZNDdfuK64XWKpv956jA6jGHjDcyrmvyyrVxOLIjZrLOtw+d0Nmjr 8b2nIr/ZVHQY5ijmJ/z1+e/Dxy1j/d6P/8sbWltP6ie2yU39+Iz5BrXh3Ju3 dg5pMkv24ze0ZNVFq29fLJR5bAP9xLtQb1R19Vn7/IBm2n1YoR+fI+XyRZ8w jJzrOnGYY7vPplyx6FX6iRnBT2fBIPLa9N49Wu+hfi1dfTui7a/Uj9/HSlUX rb59MVi2n0ksYj4FYhOIUQAb+KHGX7WfOFLy9x3knZwkj599cQPw0HwS1ygZ tHqvaPQj5i3tWtbqJ7bSx1qf1+wnPsA6o+SmlcuEjDzrjvGhXKPahOnesB9c 92rVJh9tvtr20dpeu9o/2TvTj0+9PPCvbvLLzYS3bvHXL77YTa+ZJE+u9p3H PnqDop82SZufads6cJaD9FeM0I8MwhOTQb5cdfi2iwvlHNp3jfK1iANw8CS5 7vjKiaG0XT/6UXpLMWvgAay56Zusu9XbuOpu0Y8M3abSvhg3X2992KqfuDRb 94P3hfV9Syvf3LZ3TkcnZy1hHUGnRWdBX7Fh69sGo9SnP7NusWZxb9ar/tPb ma+bq1vr08FZ77sO13PtOLn77Is545rEhaLz3L5kXC8fwe3r2jeWH7AfbDAd KXlYi81GydUkPp2+bV3XQv5pbdux7X9lkFLcBuvdHfrR332sn2t2vbfNpv/8 EsS50x5bNj3Zc/pZt9F1WQtZB9Gx0bXRp7EBsAUs1i31gxGHD6dD3aMfPSq9 4wv60YW+TNm2/5uK7pYOV/w1+myx5Ojo91PP85vJGEVXK76etbzzWjuz54o1 IC4FvDvcu7hvf2/X+6627dOPHwDfgcVxEGfCW2omMq83v2392bef8znXYDb7 y87EHspPWxyjx2bS50fL3vqifmyv6pG/1fyhnzY3LVnXuWGjv9/e20Mb/Q5Y zX7oi/wPWx8Os8ZpfXhFP/TTZlLvwKoLo3FQ/4kYANYG1gWv9q217YrWzrGt fG3b3t/af1O9w7+u9t/GX6lkX10yl8+G/tpM1gp85q0XvF871zumH+pNz6Tu wXWuc9u1/EB8orqO19V1bdR4h/jWm8zT6viVjT68lW9o2+8affFs+vf9uiff qzre4V3qnXlt9VU/1Xtj246ezjW9qd5VfXhD8eky9+4nbh2Zt9a131m2IjGR ftX2395PbIc3TULrs3m6WBLb13HHxIEQ58Dc3Zz9fBh4fkHabsffVefFf/Mk /eHz7Lj4Dz9p/B+37Z39+FUqzyls1VE1FpF5yyTXeNVs2hRTi97UGtv6Gqbj ff3E4aJbtZ7fs3Si1u0Hlm7V+t/aX84tubd+Vu3pq3hdeEc2utNkXlexWV4y L/PND/Uz53Sc3BHTmRcf08987GfD5PoSFxItRuSRTeaiYWLe3TST3Fxva/Rw Ud6Fj9a9xXPsPdN5hp+o+3bBMPm35mL8KcW4gA0/vp+8rkr7500lx5d2xOpT V3zAj7Z2Lhwmf4xYYDDl5NedDXZJDDXrCe2cUG3S47sOMSjgjD7dTywi1yLf zFz8PqV4SvQWJ/Wj1/3PIPnx5nLsKeUYpG+mdxaPi4w8fLeME5tMv8RrOrkf vnr6LH7ZVTPBdqlLXy1211n1rvJxeW8/MW/YouTGgktkA2QLFMtLTC80m+CW o+yjlV8sGXx5FD7X9r/sOfeT4/hLtY+mj/xWPzGk+EI4duJsjqN3no7++5v9 xJ/62SDtwcc6j/Od265361Hy5ZzeD+162En5f5zdT+wQvDOLL47XV/qJ/0WP /tV+4nPB7n2jn1hQYtaJwwWD9pNB2obFfc8kORLEqnLPtPvdceLdifkFiycG qlhjsFRyIpAX55POj82S3u9855xERyTPtHzT8i18rx/6A9Op53xLT8JzTB4i 5feLFvtLjCpzwPdOEivU2uTUfnKbeYbfqXb0mW3z3H7+9WK+iY1lfg03J/aW deQlw/i0ePbicn2nrlc8UudYlt5slFhVO7Zv5Ap6p2H26cpcm+v6aT8xrcSz IoO2Fvi5+zoJLk68Z/LWp86rz3ePsxZzLfRL6w7iQ/vJmZTqotW3bw7MR43P mph5MHfO4ThMHh9dfo7iwP+ynzwT4sFfWPQv3O9JZH9VMmIOwvQ5hs/2dVE/ eLEbh8k1Kx7K2/qJZwTjxsZycT9YsEv7yYd+y1RyoqPnz6Zd5+UDjkfuOyX/ m6Kt8+hJrfUu6yfOlLhSNwxDd2tf7Ck51eHIruwHr0fPal1qTQoXdk0/eD11 5WJXRwwXfZcX1xqdjtU6ne2DXWQON4pmH/l9P/Ff7qxrR4/a9rd+9Iz0h+Kk iJciPyy7E9+/L5SuhU6ZvuWP/cRVIXvTMPSwbTf0k5P99qnYWNlX2FbwHHuo 5OWsdQ752B0TW4WNhd8jOwnZ/yt5umT6BboFNhdtspXQa9F5iYdB/6n/YnXA rtIT0RHxR/xLP1ghx12nWB3KvxfNrsKPjh3jr8PE6dh+kjgd4nXQa9IJWZf2 SoYu1TH6M7oheqF/9lNXvQvqPTyVr0o//aR/g8tbZhDfnVuHyXMp1tLfh4nB 8YJJaDpB8TjY2xxfjPHuhEdHeHc/cZocf9i19uOvgfeffv1/h9lH39NPnk3/ XHkt0fxN/tXPebWNR44Pwr1Fk79tGDzTe4qWR3MO26SEJyd7X9Ul+7+SlxdT fkz+JkvTz/Tzz11ykHNo//F+crf5l7mWh0qG7MNFP1S0a1yce62f3KRK9cVh Y/cYDIIBlPNtehA/I8fnVaw2PMfMN9DzS0YMEnoBegD6ttlBdG5iBS0aJGYs DMvCQWJ/yCenHb5K4ovQBdAD7DNKHf6tm8ykrhwgnr/3QLyWNSsGkTbx7ig+ exr9FN0Uux/9F93XKoPotsyj2A/ZwNi//jNMDtq5mBFKOWHd+6UGuf9kFseV mOSc3erbZBC+emsUX0wk784Sg7wz9Fvsf3Rc7Id0T4v1Tt7fQWJKsPuxS729 bH1sXexccLsrDYJxNgdcpfrP3ki3Ra8F48kWyA4I38rf+JSaf/HxM2eDt+XD 7J8Az8t/2zoMXpCM+ZqYEOLy0AfDWq44CAbZNa1R/sbw5msPgk/0n1m3Yi/A MrA7sjnirTdIzIcNW7nBIN8veqOKq4C3YdHu55p13/Rl4+ozrPpag+AijQPq iL2g7fWr/U1L3nXc157RvcPEg9i2bdsNgoHlW8rX1NzJHGqzotXbpM61ZcnA VSq3KBm5mLcaBPvKzsnG9tvqvz65LrjLTasP5qHmpXJcb1VzVPNPmM0tq/1T 6l7BgMz5vprr6TOdPn2+a9u+7q3NNW1fOv9t67pcL5nTKg7GDkWLUSFWBfwk +4A6fJLwdi6+vm1d1wWHuWPx3V+0/DzssDvUfXbPPVdzDM9sp3oWcJ4713Pk MyvnhLn9LoPQ/GetAZ6lzzOJZbHbIPgi2C3064svBgf7tdwU8mSLhbLnILS5 +ly72iP77GpHnIPdi96t+HwxHxwmb82L2v4Dw9TVn2+zXZGZyZzbN2iOLXbo 8+p7tI9+RsmKp8E3k+wLSkbf9qh+6uOeRbNrkoePUj6naDFk1HXOPUremuWH M9mX55xekM6RPnDrcfou/87LBolFJf4nrLY4V+JePDxMzAv78EBi2ottzg4h /hVZMmixL9iAxYKDRVeKDdebin4dVmOfum/agWV9tNGPDJ+IQ6d8VcXa2qfa 1C/9E2NAvb2qLv7+1ecDmtyBg+Qo2bxoOu3967rEJcB7ecm8omiy4pZaI+/V 6KcsSB0xujzT+4d5t/Rz37qWTzT6IN/LVNbXh46yrz3typXyYD//V//eV7um QcXVX5g8luKV0a0cPIhO5rWD0PxQ5vbFAsE7pPivGaQt7dAlvW4QfxaxOsTs kFtWrFMxT8UFdfzQkuHnoh3n9H8l57+sPe2KE8u/7rV1rt4o9el26HEOG8Qv 5g2+oUH8Ygaj8Ol86F/w6Xn4zoiXivemQc6lP9+ofbnI1Xt9tXlEK986iC+M eB748uL+eyby6mr78DrvfTORl0/ZnBT+2TxWjE+xPunlxAcVJ5S+kY+Hffo8 sUqPqHO9fRBdGV0cvRda3FBYbJhs6wi6Q3pFcUbpbsUNp78djdLOH2tN8Y6S h+FGW39ozznETuNz+IbqPz3hkdU3bb97kPhnruP9dS0w1/bNu/mluDZ6Svi7 owex1cDLfGAQHKRvWv4MNgi6yffUfcD78CB+Uc7jfPSf8M5w1NbBSrhq619r 3mOK/tog10t37bnqv1gv4ivT6dPnf2KQOLZsB3TJaPpk9ouPt+2Vk/DIfanq fdT3MElOm08OEpf+uKLF5Th1kHwkJ7bzrjaTY2L7OH5cyZ/cys+WjDjKzsdW wi7ysTov+eOrzU+18oRB/GRPGiTHyafKt/ZTxT+h+OyeF7Z7/ZlBbJGvHuZ8 J5aPLppvr1gi2r9zYWRPKflLZ9OWdsh+puS17dzsq2RdJ5unGPNizfNxO30Q Wsx5PnFfaPQSsyk/X/RKrT+fGyReH55j/Oae49kMEnPvS4PEEBQ/8P1w54PE BmQXOEdbYn/Mpp0758UPUJ3b/V+GodVVfrH43iPvE1vV56o/6uqz9u8g0+qc OUjupCcPQ4vX95Zh5FwX3lklc3bRa8w+YbfQt7l7oU22o4/UOyMmouvSX/XU 598nRrW67B38/s6uNl81zPP1rL3L3mlx/+l55IOhI/pWK785SMzqq2dC7zmd PAbsRmxGYlp/q2TYgfC/0NpcdRT+F2YTP/l7g8RQFu/vO4PE6nf82yVz3Uz4 a1f53aK1941q83vF14ZYgd8fJIb/Yr+dQWIAwh7+cBB8s+PiOIvhLCczGTZu 5Y+K5vdOp0af9ueZ1CFPx4a/WJ82k//Uo9Opd/4gNmi4yB8PYgs6v9rUF/V+ WnXpCOkK6QZh9+XpkxdP/mL5eOTicfznJcPvyDGxLi8sGTylffl76InYEdkQ YSQvHkT/jfcrz3GS3MgXVPvsjb8svpyocojTocGKXjSIHv3culfu69NKhg5Q vAD9o+eU60XOF9chTv6lg+jkVm/PerVRrg1NRg6XF7TtskbvLZbLIPRXG/27 Vl7Rtv3G4TlmzuCcl1TfzDkuL/lLi69f602l7jMa/+ZB3lU6SX13DWJ2r99k rhxElk1V3HB21WtaeW21ucdU9vXxuGFk2Gq1rX/Pnco4aSw2jskTgjbGntXu yV8GiWn8yWHi4G9Udmw0u7b7TuaKut6rB8n55nqvqT5o7/pqnz32T4PYZPkG 3TiILZE99IZB7LzsEmI9s2uwA8ibyBbgPtwySA4n9+Pmoj2HP9az0Je/Vp8/ Owzf85QnSztsFnJgaZ995OnDyLuOf7fyLueYSfmvotno2NXm5ghocwb1/lbn kjfl1kY/1K53uWHon48zP7i90fNb3+5s5R3uxUye21X1bvgns036L8ujI5+O 9pS3VTva+2fRnt2VVZftUV3zlNurfXkl9N/1HDXOddiXD2KZ2ewvNZW1IxuG 9SN7Bdr68p5B8iEZ/7Wn30eO82x/V+fFv33uWobJDQCH/MWq6x8En4wvFpAx +MRBxmHHnUOMWP4t9zZ6u9af/w2S88k/4rSi/bPub+V9g8jikRPvVrz/+4v/ UCsfHCRm8vzWn+lh8vuIA/tQ8feajcxLYSBH4Y+q7sNFO482xXLmR4avjbe1 /Ue8S1Px5Xi80Wu35/5M8agH8YVRPla0mLD2xWR+2UzkxS6bav2SK0sbD8yk n7BtZB8peXmQ5lf/1SOvrlJ9sdDEYp+qdnYdRR7+TTlT9HCYHElLtueycJhc R2x/h7dydhj828MzoeU2cpycfEf8HBeRM6cdhubzyBey1+g+TOMox+R/ma32 tdMdhk9+QHYY30k8xw4Zx4fIvXKfHO+VDH9m8c/FfZTbSf/lizmvrmfJdt6b Z4qe5Pi4aO+1nBe+WesZtPddjgK5Cq6vb3HJonvVNzmDyC5RdfH0+9DWxsbD yPuO7633UHzv24eJPamv4oWIbbLTwnynvn/xhZYfhvbNit0uhvvyU+E5JhaR WDhiromHI/aOGJfi8IhRvOYwsdzEdBGnUgwZsTHJ0N2JaYlPp8cfxrzQnFDc XW3SPZqn4c/NG1cuWv6WVYfJ4WKetsow8yW8pxTfPO3JxT9wlGNiuuqb2Jfi XurjGkXzKSJvvrd03R+xX9RbrequXvJi04mdaV+s5bVL3v1ZZ5h9NEwBbIE1 KD0HnBtdh/ifZPhZK9URS9PxdUuGHxkaLo6eRAwsOpYNW7nBMHoA5fpFk1Of /oYvA3m6FjLqwATuPxX5p03FH99z9c6+ZhQ5+EPvxjLVf2vEjev9gXuAmbio 1tOu68p6P8lYm4qvtckw8SG952jxJg9r7b9+lPeMbzAfYcfpGjas/pPdtOpa uzuX9TveZsWHs9mi3lklHydYfflVDhgG9wX3DosPhw/rvlXRFxQNDw9vTwYP 5l872oZnh2uHlYfzR8O3f6P1fedh8jz+vI7hz8nB1V8/jAx/z6Xr3+y/7D+L fmt7r77a2jmnbdsOQ283TI7X49q92N69nQ7vmcXH22EY/0fxQXYcJverc+yk jen07euj7PNT1fZS0+nLs6rPVw3TruPa047cfDtW+9oUk4V8l56vlc8fJu+e 2B9ouV/5HfIZgLeHtYe5h9e3wdnD2MPkk/n0gvgoPrvk+VzA08PSa/+51eY7 6h9qXLqs2oHhh81XB1b/wqLV1bY2+ReKpeJePTw/9Xatup+dSftXTwdr/4Jh cPv8fNHb1TU9r/qAt0fx4fPR6sHjw+XD3D+35PnqwufD7sPY8w9wXfoL/88f AIZf+cKiry4+3L77vX3d82uqHbh65YurTbHC+K6KJ8Y3gd8lnzylfTh/eDgy UyXL35X829q78NJhdKTvaPTb2/aKYfBhyo3LX0A7xy8IPmwf7+1U8Fvq4mnn qFGOwZkdVG1sW/3QB/hMOXXU23+YbxAOa79h9mGxDijat/n+OvbT1v6BxoZh 8JxK+3BuypcPg0lTb7+qq1/71nX9czZ1NpiffJ4vr3ZeXu2grQXpB/1D3Qf9 h3U8zLc7jD8pPQb9CN2IOZ71Nt0H2VeW/MklQw9yfmvrNcPEFpAX6OBhcgOJ OSC/46fHGeuMTUcVRvSVdf/Ue23VPbhodX84yrFJO9d3R+mbPFOfrv6Yc5I9 pOrKQyUf1VXjyL6+5H/S+nZooztT4R9WMnBmh9X1wkrxJYBrJ3No8flxePe8 j851cF0LzDtsPZua8o1F/6P4sPF8F/g4mLPxLTA/MzdT8hMwZ/uZvHiNfqT0 LfQpp9Vcm77GXH3/2cjw4f1S8c3H8Y4oPmwT31Vx6OSkOnKYvFRHlgxaaf/M cXKCHlX0A3Ve83MyR1WbfAJgSuBJ+JvwPeB3wF+A/4Pj/Coc41tBFp9PBB8F 8o7zH+FPwqdATDz9/EVhW95W8njvLf5DJc/XgC8Cn4Q53rurHT7A5F238n1V 9yO+ibadP45vMB9h2C4x8/hEX1JYL7T4eo5/oPjWM8cMEyt1sjC03B8fbOWH hompq7RPVhtHV91jik9+P1g9/Z9KXrUPlfyf6165h/pJRsxn8bnkFoV7h3n9 WPHJyMcmF5ucbB+t6+Ir+vFh/BT4JaD5JiiPLT59AL2AHCn0EGwbdBTa/ki1 z9eBvDZ+MArfuQ4qeToM803zTjZHugH6gs8XLsva27obPh9eH45fvks0rD5s Pkw/3D/9LXy78UlMsU+VjLEK37h0tLjobfvSMJh2mPi5eieVjDEPFt24R3+I NnbOnZvfAd7JJQP3jiYrboY86/QJH2/P8pRGbzmb8tRhciwqTykZNHmxHZZq xz4/jJ5QLrwvDqM7pIegj9D2SuP0favZ5GknL245WXXmeF+odmDc5VuXF9K1 o+U5ojOBj4cLF4/x9EZvNpvjp5WMnEhobTh+xjC5IM8sGp5cjuIzi4ZZlxtd Tsnj2rk+0bazSvb0kjmj5B8uWTmW5Fd68jiyT5vNs/Su8hPRztklg3dCvcMw 5V8bJpeo9vSD/kf51aK/PRuZs6r8etHfKFobdDl0OnxX8Rzjbyvvk74tvqZe +OTdr3PqWvi9qtupZ35qPVO6Iu8tPCGcurmpOSPMMAwzvOshRcMay3EhL7nY gHjfL5njR+FPFgU7ja8ejC18LVwN7C58NazsYUXDCCvPLT7sM9px7X232jQG i91gHD6vaGM2nDK8MoyyDZ55DouNhmEmqw7/JJhlGGY4cSW8Mqzyf6uv+rnc JPKL/wmT9B++9tVVl/xHSh52Cd5ZO9qG+YUBnsMZoeGFYA9hEE8pbBF8L3yR 4xeUDPwv+rg6fmHJwNWi4W7po+RVpfuC7YXxhR2C7bUPB/Spqg+XJOYDeXot ujE5U+nHYIV+VXXdp/PrXsE+a1N7MJewl3yn+ODyy4XPFI8chhOWUnlJ0TCV ZOAqF/vwljxcJ9rxL7f35LJhsJ2Htu23jd5hKvEH9I0ez3F8WG73yznE9exU XXzxSMVXtX4fVD/hP70z3673U0wYue2tX8yl0dZHdHV0ef5Fp7c2T5MvYRgf DOsfax94SryjZxLnBCYTLpG8nJ58guAp0WSV1xafjxLacWspbVp3/KGVvx/G f2fzBaGPmcn6y3dnPSXP53UlQx49lwP0D8W3tvjjMOsL8XNgL+E24TdhMeEw f1/yMJzwmPovtpM4Qupar6l3Q9VVx744XmRvrOuFx0Rrg74aPhAWC74SbhJm UuwX+El4S/tocaroweROnsubjD6k9GDyWNNHwS3CL8I38tf4S9HauKnanMt7 TU/FrwEWES4R3pE8H2/P/4p6B2Aetek4XDD+T6rvt1b/jy1cI/ziXXWMnwF8 Ihk8WELYwjmcPhqGjc6D7oPuB/YBBpGstvSNnzTZ20oe7+/V57WqLp0J/JK5 BP3Vv4aJES9e6KULktMJjhdfjii4OMftw9TdVTR5sXQW4+4myRl1V/Hh7/DF 5RKngR6NDg3ODg7PcTo2urYjC3MCs/KiqvefapPuTd13lA5K7D/6KPH/0PRR /C1hxuCmlPcNn8BToeGu4EvgTORks09O3Cyx/vFhimCL4FHmZB8ovrgT+kkf KNYVPBJsjPLBovXbvrhxYhHC88DVwPSg31m8h4sPe4N2XI4u+By4F9gc9FEz KR8tPlwM2vHHW/lY27ahW5sKvdG8lI6tW7ypUWTw5o1iw2LPmld8/rFktMGG tUjMpnnhTZcM3sLi073xAZ7z/0XT1z2nbTON3q3JvLbk7bN7zY5yHH+22lEu KJoda0HJynFsnDXGzlQ7z59KqR/sa3xx9W3Duo7H6z4Ym9WFyV+5lSuNEkcI zqU/CtZl1fZsuqPo65S9oldfGJkrC++Df2jVGxSfjhEeBSZmMS5mFGyMEp/u cdlR8uqIwUL3qK7zW7+OR1nDiuGPtg7m1ycmIN7/4P4bvXSru+QotLhJS42y j16i6KdUG5NqE2+x3MJqo+TlFFuq6NHC9FU/xRYg45xiNImRN8dbpuR/PJtr WWMqOX2Wrev6V9Hy/igdEzNT/MzlSka95YsWCwytPb6O4vrN8VYoGc9qxXpe Gy4I/fLp+K6sXPwV65mKvby4bNurxuE/uWT4VK/Z6JNbnzdeEL722C7ZktmU 8VYp+Ze6l6NgBuAR0DAJylWLD1eAdlx9tum59QraPFa5etHeG+8WnNjh7Rxr uKdT6dca1TdxrvRBH/9YY+uNcOOjyMnNLWaNXN2uad1WPrVtv5qKHy4/3o3q P8tn2X/5nfMjMzWVY/j+83dXfXV/OopPK39APLmv5L26f5R9tNg3+Or9qJXn tW39Udpbp86142x4580Ep8Fvd8fClvCN3WY2/rL8Zh3/cSvP1+dRZPH50uKT 5xfJR5JvrTb4yOqn+OU/qjrk8Tar/qu3cdUlt0mjPzqba/zJKPt8H8lrTyzK zUfx52ID3G4UOyNfri2Lf3jJvLHKLUZP+H+Rgb8QP/Ppo/hbHVD0/gvjL8VH C9bDxm/LcXW0c3jJblV1zQn4Ghmv8LYuvnvnPp01kzGNjPmqPPI7jbK+g3vT fzbQbUaxs87ZWNEP1vU9c/SEzRTtuuW73370xLp1x6LxHBNzWH3tsuEeuyDH 5MqBk9umzrVjyaurtC/+9EcXpJ/y4HiX16r3mQ1WnBF2WDnKd65rsX58VtH0 c2To6JS7jp6wt6K1IRezfNiwnZ+hBx8ll7j2tCOOteO7lcy5rf6eo8wDd6u6 YkezteKzvcLK717y8rk/Z5Rcukr74mY/r2h8cVGeVzQemi/M3rOpIz98p41N i8bJ6c4fRo5gccJtePfMpC/Oy4eIPBl5e+Xv3eP/q7dH8V8xqrnZgvT9hXVd 4n7s1+gDp+OnIXes+M82OWTnsMlo2GbH9ypavkq0etcsSP5nMWpeMor/Bv8I fhv2+W5o48VVF2/v4u83yXhqzJRL+iVV1zxcP91vPgLa1N5O9Q6Ilb1/q7v/ KPEi5M6SQ2u/4u1X/ME4+3JvKQ8oWj4utDbYQNlQ2VY9U3mL2UON5/omJ5dj L6tnjbdv8fEOLHl2dnphOmH4jVfUPV+x9WGebSpzUfZRc2o5ONDmpfJsvLJo NsxXj2LH1AY/BFh98x/zIXMccyp2TbKHt/KNo8SMUg/fXOvw2keLFSkPgX8f /L829XGuH2zBC6t986vXtTqHjLLehb+GpaZTtMbFN9eCrX5d0WyfbKDyw/jP Opd/LlsBm4Hj2jm45JebTZ/lSzX/wof11gZ59gV68NcXTdZ1ynHG5sPmwX4B 1/r2osXwfMsotiRxRN88ih3tTVXX/TmilW8dJTbU2rOh5YbDP3IU33M2IbYh sUMeb+Xn2zaayprtTdUO2SNGT8SYOrLotxZfPrjF96+u1/nV5devbfYntp53 tfKdbfvDvNhlXBc7ls11iQMxNR2ZeVWqc/l03qn3jPJesR9pU9/x3tu2FaeC PT6qzgVP+e46lzbQVxTvXcWfhl2Bba3nvfgZt7rvqzZ/6b1q9+UDvpeZ6DPp PelM6X3RxvZjRpERD0Q99b/Tvvc38FNq9GqN/+1RaDYd3zV9pvH8f6PUl0cA Fu2Yaof+kox/xdz55v4z76/zau9D1b7yw237N8yzeq6XHrWVH6lnKobIx4r/ UCsfbNvHR6GPHcVuxY6Fvnoq7Wn3t1Ppy3HVZzFHPlz8jcdpY9WpnFP798yP npW86/hsK08m39r+TNHnT0XuBN/FVPRCdJR0Q7ZPjqI7OrxkzAmVnypa+emi xSY4aZT8y5vM5h2+cibYEu3QT4qreGL1Td0TS/7EahO/Mz/vk3dJveOrrvNo X7xZfXc98smKlfDZuq71ZnNtruuRVj7ctlO8uzMp5aX6cys/5xtsz+h7o8iz uYjz8r56306q69I37Zw6iq3Nt/lY1WcbO7Xa/v10nq97eMso7/Ko8VZtz+Up bbvI+zqKXs8c6Yip7KOf3tr5YqN/V/MoMsY838UX61uD56R/ozc7Y5Q8u3LD 4Z1efHo4+2Lq0LPh4/E7Uud302nXeekS914YvnbOqjbJfqJtX2n0Ve05XDoK DTvhODmYGbxzig8fgVbvz63O13zX84PPOavahKWAqXBc3Al2TLZNej+4DW3c 1cpfj1Jfe1+t9vHVhbugA4TP0J7cH/Jt+16NwcbibQsfYSw2DhuP0XATvtNv 1/fynaKNA9a83ynau/C9epfw2I/ZgtnntW+cX3acY/hscd+v94f9l7z2+Ayd PYov0verTTKu4xt1Lb7vH9b3zobGlqY9Y4/rWrVs3GSMB4vXMaP4EfP7RVtr 8Fu2ZrG+sP6wDiG7fJ2bbe684pPH+0Hxzd/V5St9+/y8p9eIfT1K/63frV+s f8juKT7nKLaqC0ahYVnZlH9W38QvRjmGb31jnWMd9BLxL0axB8Hd/aJkvGO/ adtt81MPn95+5XH22bleMBM578Om1eYm9V3+rL7NX47SPiwr+lej6PC3bHUv HuX6YAJ/VTK+TXy4EXnuf13Pxbt9afVH/pJLRjmu3i+rrvw6+qxfq4zDZyPT Bvmb6jv4ddGr811p229HiRF87Sj5UGzXjPK/+G/bLnffW3nFKDRc5R3zU+/a Vl45yjH8NcehV5/J3Paq0RPzYfPaveseeQZiAuxhfBmlPVjHK6sd/vbqmgNr D5/O+fx67t4r/VcXtkdfrx7lf3ersW8Um53rcF371/Friv7vKDJ0C8o/lPxh bbt+lH/W4VWHvNgEP6l35qq6Fn0Ti/m6UXLEaOO6amdu39rNGOz/Zxz+4yjt v77J/GmUffQW/CgafWSTv3EU+oj5ib/8p5LBc0x+FvQNJSP+8o1F499a7fgf +K/4350zG9r/RXlT8eWVQTu+/oK0uXAqcatvHj1x/OaS/0sr/zrKf8E/5S9F yzGD/txs/jO3FH+XNg78bZR5u/LvRYut/I9RctyoQ96/SWzlW+sardXUoUt3 n8jfNZ21gHYcp7szLhgTzi6aHu8/rby7bc80vx0nv/alRa81Tu7tdap8UWtz t3aOO4qW3xtNd0cXd2fRvpu76nvEo8ujx6O/u73op45zDM3X4t+N3mtedH3k tSeOtnvonn292vRd0iHRJdFD0XX9t95P1+F6tLd97aN/XzLeMeU9Ra9ZtDbW b/25bxTdlPLeUXRcB1XfXjkv+Wrx5WT8d50LXz/uK3n3/0/1vO6rfmrT/0xe AThAc0bzRf8O8z77r2v384FR5rKr1vyRjOPHFN/82DzIvGij2cQxnxlnnMQz 1zGWfmi29ufV3Kfq+b7MZc1dl5nJefVhhXH45revmckcCf2KmcztzWHMB82f fCuL1xDjzLUeKz557zP5L01n7jNd6wLjq34aY9VX59zpjN+z44zh6k3XucTh nz/Of2Txv2ic/wjMJ/ktayxcMM6YNoYtH0eXS+dBH7LPbLCaZIydG7Zyg7Yt HIcmQ9eh7BRNB9KZ06W0sjeOrkMOtu4446p2tcFv1XiLbwx/2jh16ApuWZC6 8l55Zp6rtc9+1a425Xt7oJ719QvSf77bvg85IXyDciWgfTfWxuO6xmeMQ/Pd 3qXVnYyTV2KJcd4xNN4SRTvnoPq2Y8nvUPoNfP3yXpJ3fNe2LTVOvgPl0kWz PW1d533SOHMp86gHFmYfbV6GnpunkcGDrdTOzgsyhzG/Ma9abhzafMb7sGrN tw9YlGP4c3Lmdebjq9Y7o71lqm/mdmjn8a56p72T3lP6lKfXnMe8xLzHBrtj LmTeAe9ibqNcpd5V/XC+OTzyU+q8j1b71klwsKvVe+idX7HeYe+8drRt/fbk atNcgDxMrrwC640zPhhX0MaWNcaZH3ivDqp9tHqr17m8e2TMM+SwWqvemTtq vDY+K42zxthNxxmb/Bd8O6vXfEa9tauud2/tGutvq2N8R6ydV6pv0Pn05+wa /7V/R41/xtC561i/rkuukXXHeX8X1jf4Uniwon138sRtVO+n93rdese8t0+r 73DuP+RaFtU3vLCObVTf2gbF16b+rlx93qja0f4m46y3zVvMYTYbZ87g3rhH 5hy2TUpm83Fk/Ov98zcv+iOtf1v6HqeSn2a7ceYSymcWve047bjn6m1RfHMP tPbIbl78zavuZlVv06rLVvf0Rp8xL9/fM+r+iGuw1TjHjR+OvaVk8S+ezv0k 77icQNtUm86xXV37DuPUIa/css7lPpGnx9CfbcdP8LatdswvzDPMVdTbvu6J dnaotp7btl3GscHOWxgZ59q+ZNC7t3K3cfCHzxvH55GtmM/h7sXfucalnRbE V2LncdmFx/G/Y3N+gXehbdfxDxjnGD5/t+dWHxx/fsn4v25c1yhu8bPGiSPx wnHir7Gb7DpOn/Rnr1a+eBzdo/jNO41jK9YX8ab150XjyJH5fz2eFtY= "]], PolygonBox[{{4178, 4168, 337, 2012}, {4175, 4163, 301, 2007}, {4181, 4179, 2202, 2219}, {4169, 4180, 2219, 342}, {4167, 4177, 2012, 334}, {4164, 4176, 2007, 304}, {4166, 4183, 3426, 310}}]}]}, {}, {}, {}}, {}}, VertexColors->CompressedData[" 1:eJzMvHk0VtHbN06DImQoJUSDkAYpEnEhEpWSUCokMmWIolTGZI6SlLFSGiRD hjKkzGOZb1Om+zaegyaFinefc5/v71mrtTzv71nv+8f7l9VnXV372te+ps/e hzXmjkcs57GwsITxsrDMRz8j6rVWi/g3wkP/NPnhwdegX8t2Oc+tFx4ucVG1 XEiDr296GyoEy2BxlISMCk4H5WOWdeMVNKhbL+xW+qECzLl6u5IvMkDtl7LK xKpW+Nz3YstsVyXoaXou10tlQJTVhjz5ra0w+1bKx1G8CnY//eQZWsAAdUq+ m5I/Qslr0YPrCf2dVsJXCP0OS9O6Cf0xpu/VCHvcOqxphD3KHbzbCHvcHBbg 22g0GJF7ccv4ewXcX2KzI92TAdHFObXfGK1g9yRwlU1cDazNnFilpdwPQYHh r8Tj2+AcXubvsOYTbN9Y+MuxsB8WNq4YUeJsh8iCSzfFDtfBtKFn/kfOAdDc FRx1V6Yd7M2mjA3D6mDoieitExsGgO2rACn/aIcbKS/+xoOUf5h7i9R/grea 1B/P8p7U3++bT9qzSDqatGeCY4q05xJl/zhlfzRl/8+rIi3xiq2gqpzPvepg FVQfeFZ+q5QB97+r9C340gafLKSf8YrWweDj4MPTk/0QPcQvPk++A16a8xj1 GDSA1ln19QJdAzB1zPtJBV8nHNsv//5dcyNEX/g2DpcHQdTo+7vgW51g/LLP eUNGE1RPLBw2bBgELa1XQdW5nfDu4cSy7qkmCDi+xPno+CC4GzLldycz5Y9R 8l3HmfoHDjD1K11k6r+FM+25ZcO0h8eGac/8Eab9a48y7d8Yz7R/0U3mfmMu MfdbdYy5X6vDJ+8Y1dMgWSp7PUt3BWyJsZW4c4UBlpy5++xftoMhr3PZs7P1 IM+zIdTi2gDEyOfV6Td1QqSpd/+eDc3wnHuR3F7WIYj7Vp2au78Lbuv9aP6T QYOXD1YdFmYfBjO5iOdLFLvBi9b8y1ivDVzNw5dGpw3Dazsdj/CCbnj6c2hy kXw7DOZqdC3mGgExns6Dtwe7YZvE16+8nu3Aw21SdHPjyJzypyn9PpR+N0p/ AmXPXcqeV5Q9Dyj74yj7X1L2W1H7PU7tdye1X/wA0z+3RZj+yb/H9E+AsZ76 Rod2uJrrIWI1XQcOX6YdH+kNwHfdpoq2811wUM9BU3OCBhesvwkNrhsG0SKJ iXD7HijYWXfz5oZOyAxaJZbfPAIbPnlP+Yn3gqyX2yP1pC5wKqziPtSKAccN WoPhrV5Q2HO8IIq7B9J0ms50OOJQESYgoVXVC7UCyzjune+B6/FLtzIKcZh3 L4Eu3NkLdzuVE6LDe8C+5mfPROt/yX+k5P0o+SVz6P+PPXKUPecpe/5j/7t/ 7P9J7fcotV83ar9RlH/uUf65TPlHJVI35sHCHhCcV7tcpKAdxt39uh7tGYEo v2rv4A19YFdyMeAkdy9sHfQcVBEahSOHlL1GWvrAUgqPK5DqgzRNBTkN0VGw 7U8tLZahQwPHZfVVuX1QaDwYfnjNKLwavBIQc5oOdXfm6d9ZTIdR/tlY+7Wj sGTVITc3dzrIs5Rb+KH/p2L3O20G4ZwNqvJrfehQ/XZkumU3Hd59vesovW5u +f/or/9H/3/safzHHn3K/rP/2H+P2u+5f/arTvlnA+WfH5R/zoha0j8q9EMq TQN78Rfl87KHwdKbR8H+5dNI8V39sLFXY6f8TD+MLI7y2/zf4A7/l3Hp/yH+ f7ru/3S/1hS+5h/8mdGejZP5w9BxLbX2aggGs9IKnu+TcNBs9H1euH8IRv7y DywdG4Gkja/WCcMoBLLzJZvFDML4vbi6Vw3DIF4z0SygNArOLgmW/mqDcD2H Z9MR9WEQyNnrzrFrFLacb3yUyoPwzf5Crd+HYOjvFofRnaPQoMKS2fhrANYU FbEPVg9BVJKs8UmE193gnpD8MgDBixNcIguHYIVYVMzW/0Z+Lv3/scf3H3vm sn8Ptd8har9PqP0mUf5p/8c/LRV+drZRGOoT4v2vN+Jgsfmd7vYGDCws9NPX aIyA38DLa2FvMRjbJ7Vkuy0O60tiZg0vIT0PT/64fxGDEolSN89SHH7/EVra MzMER5uw+JUHMZg045oa/o2Dcnb/zdScIViyRm33CTkMJkTPBXxEeeHC9vGP wO0hyHsZllEviUFF3dTRpE2jQK/L0j58YwjEZdaaMdZjsPrmhhF829zyc+mf y5657D9N7fc6td9xar/N//jHkvJPqdp9+V0XcDgiupTfEP30U2g11nLEwO1P AXT6YJDePyrYtg4HRrHVB+sODBzoFSZPa0ZgOPTrXoFBDAyzbsazb8bhY6zW /ZzDI3DZbcPwhwIMonrGH4ZZoHpuYdHJPm8EkisDNvslYnBS6pvwJ38cxs6/ ORjfMgzbTgY6ckRi0F/r0K0egwPtQflsYcUwvFr208s2HAOvsHGryw/nluf4 R/8pSv9c9thQ9g9R9h+n7D9H7fcVtd9har9p6kz/PKT8I0T5Bw/6Yeemh4Ns 0ED/O2sctsLbm20eGKxbz9W79AMGulsl5KIUcOi+VfI7qBADvS1OB5wMMBiK Mr72ehkOEhtFeIvGMVCul+AJ5cTAQ6lwjeUfDGhmSmdseHC4z60d8LpvBHhP 2F9wGsOgR1SGQwrZlafco7Uc9behtr+9/cMYsN6J7VGXwuESJc9GyY9T8tKU /kuU/m5Kv99mpj2PKXt8KHveb2Dav0WGaf/rcKb9MjeZ+9UOZu73rTJzv/eT LgXrOOOAH4oXSXdBfnim8Wu9EwZnfYRpSoI4JO39YjxjgMOPqc5ijnsYLI/e 7bCiE4O6/jvp0Wo4JCxpXuT4GoOPgk7KhTkYpDhdmrkih8OmTdkHcooxqBGP yXiXjEFkJLf5lW04NGoXVK+oxMDWgikfFsiUL+Rgyu9WZ+q/XsHUPyXL1K9r K0La8zuCac/S20x75jdeIO1XZ48j7Wc33UvaPy0nK3YzB8VRz2qxqiDk92vl SiJ6GDz8UR0964qDTMfdSfWLOJiEJAqyO2DQYHrIETuBg//0l71K59D5ihZm bnRHepb/uayE1muPdjNnQXm42tX+udQ15N8/PxwIef6WBlI+LW6QlN/6MZrU r+V2g9Svc+stqR+s964h7HH97U7ac+bDftKeNgfT7AMraRBrE93ud6IMjDjt bPyn0Bywu7Ah/D4NclrPGHGIVEDanq8Ms6MMYOw2vP/oawtEzFaH8TaXQi7P j2HjLjqErNmiftGUBufr3aWmjpTDqVzWbUHSDLh6NkmRwNXk9y8lcM6BbGkC t49cH0fokYPFcYQe/9YHOKGH7Yt6HmHP9kvRGGGPVXz7OcKe2+W+pD1OyyMN CXvY3ctJew5AgemtshaI2VZScRBKwe67hKbAe8TvnOMerRNthSOPrtsHjlbC L3/6KbUMBuSZxpL4lwEvEu8t6yPxuNMuIfkraNB2tcA//HgZ7L8dsmItWhf7 OD9jxfpW6N14irt4phKiD8bfzs9igEEfE7d0YOJwgonnd5zSe7a+BVJGaMYa nMUwscDIab8uHYC7s690MQ20f6+76S9eBofi8zrjxuggE31HZGlZG7AUfFPZ 9fIT1L1dT7/a0Q/bKHwhhddTeIWH3LiCaw9YPZPzf6bRCfseDHwb6B2BGgq/ QOEHKZy2eLIuwXkY+A+/XpjhggF2tXuSuwLl1fKNPJMnGYC/L/B2jmUAP19R mKTkKMjtERfSXz4A1qw1+JTpIBTN2l2RlZ0bb6b081H6cUr/21IZuZGPGAxE 6tXJKeMwI6usZIj6yVx4WHFIilM2DvHHXo7bEvFZJCESh+Iz9B/cgsLdjM5a Dx5DdTfoYeMuOxzyRWtvX7+C8kKfic8EMPFna5h4teOdve9ZR8HGS1A6IBGH 2jje7u6tGAhL1nEGGeOQ6VTmUIrk10w+XViJ8igsl4kHPWTiftlMfKmz6Dyv dBwEXT9vLw3AIWdgf2qjPgY5dmlqiTdwkKzgWe7ujsP3vLdui6wQ/vUNiVcn 8JO47UgWicemcokdqEFzgalNV+YttC+2ihMNWsgvQp02h5F+nvH8o1lIv+Xn ZtZhpF/LeEp+2Tscpp+pcP8KQf3WdXbxNl0MvkvlGDXcxyH4vHNNtxcOZy12 6jqazI2/SMmRI/QMnWnkIvTY3w5jJ/S4tH21JdYNDBU0INb95XicXBc/YaO2 8zgN/IQypTWUy0HLaI2ghAQDROt9ZY9LoXxxbNr06W4ZZHEfqPdZyIDOzpLs PecRXsU6rz+8HBrYJjAuBQZkHDrmtJqXBi7ZrUdD1cvA/YLMhSs/6LBRazyF kO9S0KYzkPyzsMJ+Qn7f2XFS/+pQnS2EfvxFFKn/razmHsKemPqNsoQ9LCWO qwh7rDkrBX9epIFRkau64sNymD1XMmmsxIDuWXeyPvTVfy4n6oOkxZQGUR/s KHkzSp7VnilvaVo8aXKHBgrRXC1THBVgML9QPfcwAxwXXSTrw+udxWR9eJ8b StYHbkemfEodU96ImynPVs6sA88eMevA2Z+GZB0QuNDHOHyIBjXb6xfRVpXD vEdi+DYxBuhSeNgOJi5F4Ts3K9h3hHeAkkbPpZbvDaDbYBM9LjIIyhSuSeFH KPwcxQsk/uEFc+GlLc2czjsx+CIeNZvBgfLM69DItr8YFP+DJ1D40oCQmA0J OJRHP3iX5IND0e4sEc6TGHDPgZvaMvMu2oOZd0oPmHl3Uzr8gDGKM/nOomuc V1Bf3YGXqZ/FwFuWift3MfGubUz8fRoz71iDmXn3sIqZd66uovYWt1E+u1mH WXqgeXG6+GTxaTSX0NaReNqoDYl/mF9E4hG6G8i8E4o8T+Zd8kw+mXd12UcH etE8+H5x+Nswb5RniV0TPqcw+Hp03yCBb9vbS+LzvM6T+ExCuGdqMpqXT/5t aEL5XW4iE+hgiME5ibzTXyNw+Ka3aXwYrdsy3XCDF61bxjKom/oaB29WWrZn IA6p3o6r247MLT9v0QVvQj9neHwjod/xo1EAob8iLejsBA8NNCwNE2bUymDg w/1YE5RH/kOBX7sVabDX8PnTD41lAG9PbGjiZcC8ohSeDYjfvP/YJ/7nOg4e 9Y7Bw8cwKO/qZClG9aFK9durdlQffpme3+yK6sP9RyK/RtNw2Gm23+sO8vNW i8fCy49iENzZP+gqSIMe/32fbpuWQe5OpT/HplE8V1qTuGdkZC2Brz5M/03g Cnf+piWivj9YYP4wWr8cIq5vaXyB+r4T9xvSfm2JH6T9go/fkva/vzlJyhdo 6ZHya/9uJOX1Ix7fX432deF68qE19WVw95moxgG0rwBqv9rUflWp/d7TZspz X39BypdeYMpzlTP94FDH9MPuT0w/aC0aVhp4goNw48vOAYTTRAXWsx1HvK+f iW8RSSFxw/zlJI6JtJN+KzD4SvrtXYwz6beTm1Q78tH5PuE6r3QdnW+OSTxn IzrfKrGjJC6d5Ubi6x0iSbx9wIP0c9UnO9LPjLpLpJ+Dcq4vbW1sBbqY+fax 0zUgp1mRoratH7ZX2p568qYXvC5zVowf6YFMriM+Qk/RuZ46cvreajRnBwQt rTBC813/ka5ExG+qy7VWDs9rAW/hN7XDd4sgoaLqdYQ8HQwqlxzkamuBrdxN XXc8SyF5YAHGX0uH81bvm+xQPexc+trheEI5iJ04WT2lyIAN0UZSdM0WCP39 NazBsxgWje1Zl2RJnxOfS89FDmtFYl1zr3nxxLrPNLDPxLrxr15nuSxsgdhR N533CUUQs2Plz5MKdAik/ND7jx8+09UK6n63gMNls0OXJkshUsgs0KefDrKU fzwo/2RQ/klIdLTKamqFYZ6+4XGLGmBZU678GekpmsNvNSkN5nlxQzDWm3fn 9SbEqzbkiDhKIH69T7MuJxfxxbtea1uDUb3quOaRcQjxhcLwC71Iz+OwIfse pOdAo8caX6QnN+nOCy7OURB7OvniF4q7w/zxR9SlMWDPU+W/jepSRIVdxQWU 72KVZ4ZfoXwXWyRdXf4T2RunE9eN6mjltzjeqh0YWHoFDm0rQ3NApfJwchgO GZrfFW/qYBBD7eszta8ZMea+Pv5j/7X/2P+PnfspO+fSPyvqXjl6B4d9V2pX qXgi/iG2yOWBGQZr/7GzgrLToTCpJnDpKARiidJrnuFgUN35JENq7v3OpV8n cb8LA/ktLmpIB9D5bXvjK9i3EYOf5tWyWg40+LAvzNHnRjlAWU7sDzmiz951 6Z9uhi9+tP1LrhTB8uwtlV9l6HPKn6VH2BfuaIUlJ8fmv1Kogqr87dLnPzDA juqP4v/0R21JtWIrfZTvi8VsLWxQ38l1l/2N+Fd03srnhz+1wqXjPx22HKkB wTYRGt+WfmgILN35xK4TLrCdN1V1agKgbe5+nTMI+n/WF8uPj4BiecCT2G8Y pDXRZ0JF0Lz412yXmRiqG8tu8ZmhubVE414S7Q4GZyg7Z08w7az439ip84+d Dyg7y2MU2s2r28E1LFv2Wmw9YHf03m6IGADO7e8/ui1qg4CAXQ4uy2vBIF26 NdCgH5aonlM69IsGcm/NWhedqQTXDwcU99xF+Xsx0NwipQ9OWJ+fXjjYC5v8 C7r1Vo+Ci/C78ypedFgXB69rd6E+9OOwtdi6UWioqVNuHqXDlokv33uH6dDv 7DiZID76f01Py5s63StHGKiOr2+/F8yA8iaPExiKcwwzk8o0YoDRj47aPxEM sH11ppkd8ZpLV2SGOCsZILWnIXGVTj/ks7joJ2wcBbYHHp2fRAdg1XeLO41O g8CtnJrqiHjN13NjrFGrBmC2NuWBo/Ug2J2pktNDuOXn1XtUnvfDJs+cKr2M ARDkzcvJ24r0d3YnJ17CYJFgW5ATOs/EqI7pP90YeKXcO9HCheaqBR0u247g ABnnqsXjMLC3tz+aZoWDb/uhWQknHKJ8A8cYFzDIwwYl1HRw2LQnc6fRWRx0 g5tfLfPBQNfvR74byqO/p5awnEN55NEzlpWL8mhrZK+abxMOMVv45ZxRPjW8 UZFcr4Hi60Ebqee3RyqpJ/RbB6mn8avKO0LPvJuXST3DrcakniKpA3sIPdUr Qkg92tqxEoQeK3ppxUDJIEwfX3nh7PIReB7kJM2+G/Go3bfecn4bgO3iOnnx RUOgK/L5keLO0f+xvE/SjKGdFup/YuabLS1xeKW/tO24L+Jlht/Wux1uhSw+ r+W896tAOrReGG9iwH0p8ag81F8sWVurHB6UQ/SOhLZtaG7/rTtCyi+TtCDl Pw5Vk/J8lyPvEfIHq1o/EfKN3I/aCfl6Ki/8qbz4RuXFciovHlN5ceKfvJCn 8sKNyov/1+LwIhWHbFQcPqbi0JGKw/tUHGpRcehOxaE/FYe3qDhUkzy4YXiE Dpv/7preivqrDGf4yE2UdxwhHqMXrw+AZO099yC+IfgS/44vb8coxMrMW2ju PwBSpYcu7F4xBE8WxovVILxN+sE7Zxri1fqjH89Fonq/uPVaozoGbRKvDqyw ooH+2l716/blwL9uqe+gDAOClCxZU1NaIDXi6PLSoRL42ZAndP8VHfir9Q+5 aLdBWMSz7wPTtZAVFmIy7NsP9WsXKZYrtsHh5PwjveW1ENo3E3r/cv+c7zV1 whsv6yb3g+GJEfdHWQOQdcmsqBz5bXR1e6GiajesqLP0FzrZBhZvi5O/ZQ6j OEwPMyvohFLl+7YnZ5qgJerYAvGviH8dDvXJXtoOvN8rlm42rAPLxX+fqi4d gOkHi22O76TDOy672FclfWB+W3fGdc0oOFezS2EefeDJxnA2ju2Fs2Fnn6qL oPNyiuKK3NIDLPNT9AP2d4D5ohG2HddGoDdnb9FXxUGIzFzdULBzGFw8uzkZ CqNgHao5z+z7IDTkPfnNazYCjj7lZ1Yqj8LkS6tFMgsGQW/gpWJx9xAsPqZ8 7THKr9mgQfnZ2WGYlkyktzzCYH2+oPpbNG8eSL3PqdQ0Amft3gnFDSOe/1nw yWMpHC4oiO/aPTACnCHrxePHMUhskCuIWIODWvv5fpWiQTC+xMGzlncE7v2J Tp5SGgW6zPT8EeNBuJ5EeyxkNwypf7QfxO8ahVtcQaKuUzRgqM8E+9pWQmSJ 4dmyKAYs2iL6bfAVDda0X1ujalUB1svWOZqdYcD++qVC+6P64NGjhbrXi3th Ymf1YB3yj1n1mKarEx1srCc0nMXokJvfdLBk7SgoGmwyYjDokHrbWf96Bx10 eM2r7FB8SrwUv3GmdQSsxJYvZ8EwMFTsLCqXwMH06a98fi9UL1tcPbG1OJgc T5142onBLX/gYekYhEzR62JDCiPQ02a+LoioVxs38M6rHQTzjKn2c2tHQE6l zl0B4dLlnHsDTAfhjPaGHf7Ow2D/eyLiLdpvdaaWvWhrKzBC/+h8cqoBjjxf 3z07EN9eGapdFd8KY/Eca5yeV0PIsjUak0v6obVN1+01RyukHvpb4ppUCU0+ WesZiQxw116lXZHWCXsqgjRdh5rAd4HeT52hQWhZazWu/KET7tXHJi9b2AxO 136f6ERx8DZboOG5cS/8HYxy5TLthtbTb4ZY1uFwx2VT0kx/L2QYs2yrfNgD AXu3FLcN4P/fPYDkP3mRIl94U9V2AOTlDM84oPWWh1esXovy93WaWUxlxxDQ vE/JW6qhuhJxYdWjJaPwbiVLvvXnYWCUfZXQjcJg+bNX3Ar3cLgaatbfxDoI o8fvSE2j/ydkcLzgLorD7mk9RzabQZD3xavLvYdBocd6+gvy2/Pi+1Y7xmjQ OOBz1WRPJdCSFwl+DmNA5avMol3arWAiKbOA4VkFszyTAc2fGCBdowSyL2hg uOHeyW7DCtgw35Gb14wBe9Ymuuw7QYPX8+n2FzTKYWBby8IYSQaoxWdkG1jT IPpedADtfDlMrP21v3wbA34aLXfx8myFMLsTyo92V0OmLnRNTzDgSHZr7bGt vXC69Wy7XUUXGLba/xAZQP3IJnAl4y4O/A89YvvRvCq+6bhtoSkGnzhNt22P weH0r2lXA28c3obEKtafQnn259qP779w6DZozNrzAM11taX39qA5OefYue8E HrX8EokXWKjeJ3CTnPhrf6NosLuioiRsRQV86gqz19RngNLlwgdcx1vhtMQP hbHsKgguaFecaGdAo/B3F9qNTjAdel8fmNAEDvdxlvqqQehOHlwn5EBH/KRz +3NhOtS8/RKajfJlc3HP70IaHS4ee11wtowOSgETK0RRvsxVr15FOmwNjh6A LpuWtIXyQxAdqPBdSW50zrrkm3To3Gs0r9e8Z33m5YfD+HYj/52IX987ZOLu bDAKBRIWu88X4rBxIP27GQcGLErbv/NdxuGMyyqpHxdxuDzVyC1kj+aQ1xv6 7qK5/TGbd2CUfzlYX78ft0meAZjqKi2iX1x8fmUr0S9eRq3zJPpFYHTvkNkF hDee3PU2phwiL7FuV0F805ry2wzlt2TKb97/zBup1Lyh4aK262AU6k+G0smL Ea9vcLqsF47OV06PvpPAsyOyXxB47QGBIwQueDpet8SZBuxfNW1X3y2H1e+L dgrvYoDQLrcFjuY04GDBxY+cKge7cq3wh5sZsMk0kJ3Ao9Vv7iTwF2taIwj8 8avAvwbqLSD0uvrHJZdi4PjyQkriDB083/OtPMFHg8wzWVfb95bBh+cPWIwn 6PDFhZHRY4bqakzDvGGjcpDJmokP3MQAdSr+0/+Jf8PeIWHxFSiuODZh3kZl 8PP24ec5k3TYKfSDxBcv0yfxD67HSJzP7nHly5U0UHd88b3xZBnwqCmNV03N jV9JYOZXdywzvxrWMfNrjbSpQ7zNZ9gS6FxIk2qB7f0pSbK2KI52Hm/maekD fXpBn6lkH3xqGVIB0VGANT8NFGMH4W9XdTBn0zCwKWnWCKH+Mlfe/bDpS5dJ x0FH9+v7F6ifVeRH7Pylj8GqAia+wJaJB0Qx8T8C58k8tfvN4kbkaaXbHTJP ZTfzsGYg+aSrk93NSH7fr9PaBUjeUqmXhcAXNw+ROMy6knhr1HBDC6pzoTs9 8WAUD3zPjf50m2Cw+WUFjcBfLxcdI/DDk5LTBP7Ve3NozxIaDLnUTx6RKYMT +7xP1nyhQyzFH69S/HEVxR/rKP54nuKPKhR/PPIPf0z/3/DHwOPT7xRmUD36 6/PZ+BHyE2dP0oVtGChf/11E4KYdrV0ELlu27AmBr5oB+8qDqC/LTOb4LS8H o0P+1atFGeCwY3rF8a0tYHSS3fz8tmLwfPKo+6MBHT79vT7PTo4Gydcrusvf l4FVbanJDBcDvpw7dSOpiAZ7VTkUh5MrQHL52VbV8wx48jTzzXqJZtBL6N51 Sq4Qlry2OyIa2zcnfpvr7GlCz7v3194OIT1cYnbvCD0LZ1qXEPY0C3XsJOxR 1xSmEfZMrF331xbZs285by1hj6vDX2PCHo2oJndiX9rYtkFiX6tf8zUT+yrx arkdf5QGPrRLuvs2l8PjGlERfB0DjnqY7EkooYMUdylf8lM63JlKdE1dPwri 9KTWAsSPtLHid36IH10W/zTEjvjRnZ5Ks7NxOLzAEjV5fRB/OiWBN51EfeHH zABR317cXSxO1LfrT/YvI+rbXPXw44o0Pj/UD5Rqb8UJ+eJwcmeckOMJDDbm irY9TcBB4VcFrR7pN7M6u7MB4bPafqzx7u1wq2R+IRdPPTz68KHe3HgAeJcl 3/z7sgU+vsiaf3KgBEavGlsKo/nZo/3LYHLKAIhklpz4cHQIVFcG3UlG9Xwu +w9Ya5Hrpsm2kOsGPThKrusm97RBGv37hRBv+Z9LOFiejnq7yGZu/Ey5+pK/ J2mwhePwc3Odcog7t/9zrRSaA/fUaA4ItMJEmtqOvrpKuBzo2uf6kgGSW7x9 g3EaFEYMf72nXAn2Cp3uGTcZsNaDzipv0QrZGzs25n2uglOem97W9DHg5c99 kjENNPjge9jUkl4BD+xNb7ldZcCE7fnz6qdQHg5pPU85h4NAfh/7rcsYeN67 oOl1BQd7nmrjYlccSvd2Zy44h8FF7imuxGgc0h/OPyuO6oO0jk8tL8rflIhF HkUvifd0Fn8ZfxyGrAoMvxtg0N2d3fObexQyDgzRvqK+F5IUqPhNCoOkA3LX CHneY7k3CHnJWCEjQj77yt+9KzfQIPFEcq5HcBmsyvngsGs+A66IR5D+KfW1 ekH4R3fIl/QPO+WfGco/7pR/fv6zr+XUvmKnGs0/uhD26brIXkD74EmQd3PE oNa+n9yXkMBfS2Jf8suDyX3xfTz2rryqBX7/sCr9frAUTBa2S3IW08Hh8ELz iD/N8HxFwKk+ryJIypT/JipLB1f36j0rn9IgJIjriMCBCrAIv8VOP8WYE1+v f3hyGeLRJd/m5wotq4UHGsanNRCP/kbxLDGKZ1lTPGvPAVPVpUJd8Ndnrcop Exo03RpPGxwYgrTDn9Pu7egFpT6TjSntXdCwROO7xygG6yhe1kDxsg6Kl+VR 8/C8IeY83E7Nw2dK/pxSlKQB7sCXP3y7DE4pTSi+XcCAG66cGwLdmmF14zcF lYz3EHFb3TWhqQ+OyH3Wa4qmQ9oD6bbrFnQw6LwSlrduFO6v83zuLsyAax67 PZp2MOCcSKZs2ob/4nde//C72hWLbEcfDsNqSTHVS2jOSMsS6PucgcN5xy2s lYi/PfqrmCBSjMHlnLtNJ9G57pGr864zGIDWPQe/RJUPgs2Py60vtiPe0egc u8J5ALbErNm4aGIQFodOdh9C83nAOuc2V9oAPFpjEjkYNQRechlXEuTn5onK 9QunBxVHQX+vhUtUNg6fdgz1aghgwL2Zq3zj/FEYDIrkYn2Mg5ht0CXlrRis dV+z8342BhvEm74KyuFgTi9YqFSCAeMgx9+fXDjEPvM22H0EB65Wgc0r4jAI 3bJLFv8xBFlpP6fKtFGc5RXZmLKMwgzFQ6f+4aHrKb52luJrRhRf04+7/ZYl ggbZS4c+72SrgKcs11eVHGJAWoiRrolYC7h8Xs5j/LcI9D/Ev9PaT4eskdN3 FQ4zoMLNet4vfwZs9uff2CWB6pv637HN9ThwT/o9MYjAYcCD0/mRJgapXn9I 3DKHiRc3M/EQUaujF1HfD1uk8vgDsi9UguVSK+r7Ag7tF6bP4tCjMn4Mc8Th rtZWG/mLGNyMd5IduY1DE9ch6dseOGwdYTj4n8bgfeIrkv/aXbsWQvDf3Vec SP57xVSSnFej01vliXl1SttTlphXO0uVTT6PtQCN007ZsboUkjy9L1p30ufE i75WWqxCc6OdIk/2c+diSLnBo/XXnA6s/BNnCFzot/RrAt+Gue8l8BMjz+zu ttJAsFBPS3ayAq6FX/iQ7MWAi3YpxVMGNJDWY0ua3VYOyQ99RHvWM+CNc7r1 gTwahHH6qhy7XQF+qvz8AucQzwrML6963AJ7ZX/db6ssAYkXrsbHn9Ghj5Jf y8WUT6TkOUBFMORROziIWO64YlAPDZfPzndxHYA2ir9YU/zF+R/+8vcf/vKL ut84/M/9hmWam4roDdQns0tCxtej+XxVWsq3Ngwit5aWpzMwmMw1WX1ZA4eF wqqn76RisP+fe49R6t7jzSeRzhc3cSiK3XVb4hoOZy9uCnM4M3e/2H7k2INF kyg+JsQ1dVDf9uTJqVBEPC6ruo6ME+vFOBknN+5tJ+Ok8VYLGSfKXOfJOMlX ziHjpOZhwuqhKhwetHhvUCG+A0nRaDu/D4P4hOGTM+9w8H2zb51mKJpnN/Ks qzg4Nz79JEaI0DPfykuc0ON+I76d0DPXfVqdrQnJI0y9WVgJHhHu/YDkEe+c 9rnbiTdDJ7ewjZlUIfj7cMsPR/eBGnXftZK677Km7rtajk4tKa9pAx2J9t13 iz+BrtW+l3I9/RAUaSB6mLUdnpf12a9TroOlPuyNaxYOgBt137WYuu+ypO67 JCm+oETxBQWKL8RQfMHgH76gTPGF6X/4wvdUHvOMGgzyJu9evLQbhx2TlXFH c9G5P3yXeypmBK7qHn6Y1ILB6RVJh1bvwaGKqs8iVH3OoOqzC3UPtoS6B3tM 3YPto/RcofSYU3pcNNVTgiRHIaFoX7pbGvL/W++lnqsxWPP/s35yU/Xz2+bE Y8b30b9/u1TkIB5xcNKA5wnq1w83HC/Z+xoHzXfK7ScD0Ty4if3HIlSX8ucb kfLYHWNS/sqKS6T8vJlj0wSvtE1/PUzwyuiJcxIEr8yOf7aC4JVdehpXCF4Z zGdI8sp8SH5bntMCYpcKjXqXlAIXLpOSnkWHdxQuQeHcFL7JqoDRifjjwcUi 81iNy0BldGGjAuKDHqzbNr993QLjZyqbSv+WQPE19jJaBqo/mqfJuvqdfzdZ VwvK5pF1Ve1WXTGxL1VZHnJfKSf3kvvy5rbXt83CYecsw5k/CJ3j/NwnfEcw 0KTqzwGq/khS9WdDxO+DUqnNEKwmVp3i8gE276qMyvndB0uo+nOeqj+NVP2h UXGr+0/cHlLrUV5n1QVcYd25j/toMDu9NMFUeBjweFml31GdwD1f8LdhQRP0 38wv72wZBAOKL2z8hy/wHtNi1Y3AoNPG6OtRVF/OjXZXcjRhYJPEsmTFDhyk 7h7j+m6C8AvbXs0LweApbXHkc7wFNIssMsqKS+HKfPtdne10qHCPPndYhgYL ux32Lk4tg7Oy4QLWHAzIYZ3211OgQRS7wc/PVWUwo96osJiHAdrjU7f8t9Mg ZepinnxuGYi8CI9+wTk3bvz91G2Pa62gkcyj+lSuGhrM47Nu/WDAfB0mv4ii +MWT//CLOfZ1XtFALFlrBBxqauwLUL59tZ+1jrPG4RrFO4T/4R0W/9Ttj1Td fkG9F/BS7wWnqPcC8fcrFuk/Q/l6+khvlh8OCQ8es30xmntd4ZPcDyJ6RmDN cT/+PDQvLr6fmiWM1snpfb9NDOXt9jUpZ+MAh3ZfCSUhlJ9+EdrOZ5Rw+CVk K2J+GoeI4I2JBQFzr6sgeP2py7sWWFIwc2/ZulKwezTMZp5Lh52cS9Nl0Hkl ja0Zvf+qDD4qqlbqofMKpephKlUP+ah6+G2OemX0xPm2NYp/D8FNn/lQ/O/X 63LgR/E/V51xGLK9e5d9FE5m7VcQT8IBV3605NQmDI6mFFdU3sAhwGbd2A13 HDQe8Mv9PIuBXaZbrcD1Nvg2nFdXV/YROiMio0VT+oEtvVWz7U8rVAcVNvt9 qYFvStWK/Lr9wH4il1v7cw+4M3A17uTPcDA5nK3UGQMPf61vvzo7YSPHyDYd uWZQM/EeObZoCAaofFlA5UsPlS+cz56LDAd2Q1XT0hUKnW1wwnS+Ud7QMGzW 9eCsrRwBG12W/LUDGEgIeNYe3oLms8enMm9vGQbri6+DWU6hOppqGBc8gIPh oSgseXAYDsU/Uc2NxmAg9u6yBDTHbZr0+2zEi4Mdi2HhSX0c5gVoZ0fEoD5O zfkLqTn/JjXnAzUPH6Xm4Y/UPLyUmoeHqHlYlJqHaaJl9usXt4BaYsI+oedF cEmfl0VNkQ4Ht9x1IHA9cZf9BN4Xkkji7X3JfO0WLbDo94ZlXlgxjLMLqNlc ocPyoqKa7Q4twP6SVXoBZwk0vZWN+u1Nhxi9F6R8pv8aUn5sfBkpL+VvX9QY RAP3wt7nlcPlkM6uLr5QhwFDqquGvYJxeGfkd1nwKppLFVxs2ywweHaiqvQm juI7/MSQaywOatPYNZNdyH/jkZ6XhnHIDN1v6hiDQ8fR7ID3ihiIWqRqb1wy CqOcHbRkFD8VARtknkljUNJq9J14rwlcVyBOvNfsa5wh32t2sylpEHx29CVf OsFnT8vVnyP47JZNTDuFfHtIO99XqpF2blzKtFNCi2lnly7TTtENd2qyYRQM dmf0b3uDg9fH+MsiyzBI/FujLoh4rKzHYbv96OcI65lkA8RnZcJOjKho0sBc Lk6+4VcZDP0KWrFakAGirtEHq1B9250gUL06rwy+sq/2bkP1bTUv0w+zbkw/ JAnhpB/GTJ+R89uLp6rk/Ka/PYKc3xYWDZB+CPYdJf3AyOUi/bB5bXgsx2IG CIduXzLDz4D33pa4AuJ97dslsErPIeBO4TPOWYuBVbmAchviZc3bYMtM0gDs +LlTl01nCBpYwqOvy/3X73NJ/fP+cuVr3Kd5r1qg1eiG79BwCVgf/MPahOa0 FdS7ZwL17vmGevdsot49T1DvnmHUuyduyHzXmLBivmtMH2S+a3hQ70o61LvS DepdSXNcwgIL6oHcyemMhyGdIOm4/vbMzAik+XXe3M7CgA0S1hqWixhQe11O egnaL6uP+6EJi2Gor1xzah06j4cfMg9s+Yj69DW9e1ZNxPeXYb+t7+AgdLo8 REYDg6syplbcQm2Q2f3x6q3jtaDSmiuhe6YfMqPk/BVlWmFgh+bXn5JV0Gpl KqDxjgH94jrkO9qzJQv3E+9oJs5+5Dva59ll5DvRg51Z7sQ70eeTL1YS70Tj Osc+e462QNfYvI7UslJ4vnJBo3MHHRjNZj6rOGkgdvbudeFtZfCsUGXlxBc6 REco1l19QwNlow29twIqwOzrJwNhWwbY/3aWGpaiAd9l84/F98pAouno7OBC Bkjv51j8+lcLHL57YLnkSCkcna2ejuujz7mvOyslAoh92bKF/iD2NX8d+wpi Xyv2a18l3ndMPMXfE+870iMJ54j3He686bH7Ea1wbIH4BX+faohexScttKAf lOKteZ/Et0L8F93XY8+qwf1eklDXkn4Qn2pqN0B94KCFUfgLftTPbAWnxb/O zXe0j7nlcU1ioH57pHpUB4fIUenVQ0kY5N7Sb2s6j8PKewu6Al1wWF0TnH7c CQP/W/ofvqM8SXtmxol54/AnflZzMaq7TsvTGt1EEA8K+9NsZYTDnhvt68Tv Ir78qLsl3RaH4yNZMZJIn1Xy9m0hLhik7f3g3ojiwLjq+1E5TxwUz2ze/dIM gytnRG0l/XEQOZ50NQn1o9/719VVo370Y2l7vckiHAQ0x0zZD+PwYcLi8pIH GNQKF2X2H8UheKdeBd0Ghy+fVAQOX0Nzr/QZmj2qI7kT3yP43HBQV/XYG203 t56M086knt8P5Ek9KwPM/1s9xgvZpj2TkfwyoekS1D+Tthk1+hoiPuVzOI0/ HweZQb31B0JQX85zfSJwCIPPPC9I/6SGTpP+cVL4TPqnxyqM9A9IxZD+yY41 Iv1zSSic9EP9eDXpB/+aL58IP+hE3bpM+I3F7ybpt+1OWaTf3gRKZHyupMFF 4YQ0ltIKUDR35dZ3ZcA1ief3J1A8s6nKDMsFVYAEx5td51E88385JibuS4MT FrFlfJ/K4XJO4lS8BgOefw2uJeLfJ7qBRsR/jcmoPhH/WupP0gn9knztrwj9 VxtWkfoLxVWjCP1Kjz72EPpjzrIpEPqdvQb5CP2p451RhH5+jm1fCP2bw971 E+935VWzkcT7XQKL2APi/Y426b+feC9jNQg0Jd7LXFSi5Ij3Mskx5r2Efg3z XkIqgnkvIX2QeS/RNLiQvJc4HcK8l+Cg8kWbypcoKl9S/uZ09C9B/eivgL2l TBls0jy4og7lu7nGr+sr9rRAitiyb4KuxXBsWndzKuJBCtT9JMd35v1kKnU/ qUPdQ7L7Mu8h26h7yEe0AVXjPDRHPDCrTpXHoXXqWJVgEQaO1D3eQ+oez526 xztHzfkbqTnfjprzj/0z1+lQc1382l/cmb9QXGWzWW1B/ej8sjEFM9SP/lD5 60HlryaVvzp3mPn7ncrfySpm/uaFM/P3HJW/RgnM/C3p+cmb7oqDdrNUheRF HM58i9y3yWHuOF9m7tcy1IzDqK2TyzCKx7b61T9998yN86Smx2W2IX4cc9R3 810ctrXyxNSpYRBMX8NHrCuwWYFc91aKD7nuScE12zlu4vCqqHbmK8o/i4N4 QPYZlKcTjbXXG3CYaFvxpxzNc3vHZ1sWa2Ig8L2c5Jvrs9RIvllqyEXyzYO5 MiTfNDlXQfLN3P1Mvtmsx+wL7Wzzyb7gI8LsC0sYzL5wNIrZF6IrmX2h9k1L IfEe0xGZG2cXiqM+kXT+zkHkd7FQGSN0Xu3LVXm50Hl5LrZTEELn5ZfFlC+6 w5Tnj2TKX6Xk2yh5L0p+PWsTua+yz8x9bRhh7uscNYf/oubwz9QcvqDo9qvz MjjcsFxWm4fiyTBKp/FxKAZK8sGlj1xpEBqunnM7sRxcOx/qNymhuWuzxlsC X1IZHkLgUoMs+wl8YIGiFcEff+/L307wR8OPFXwEf7yR+8yE4I+y00lnCf54 y6lSiOCPzievJRI8dMnG5wyChw6URe4heCj316+vCL5z6EhTBsF3ODXXchJ8 Z6P4xac709pAS7dcStPsE3De0t6wrqYfTPJHznFubwO5m3yiLCm1YNUr2Lzx Qj88+Kxw6vt81DexlE0K7LWwzKmVhVe/H84IKTya5cYhxJbr7p0jaF4LvR73 IBaDVRSPE/uHx12fg6/Nxe/G2g55vEHn9alWQM4XndeSyk3vL6Dz+nZQhW8a zS/xK3ji7t/G4ZCxJHfCXgxExtK2EPHZ3XPkLxGf/LrDQUR8doUE2UkjuQ/m LSFHPHA4oZ8y0Hkag7d+oVXmzxFfqQjx5kF5dHo6ba8r4oknLlkbvkNzJC+b 2ugWgj9ufab/5BgGXldSeV1mMXD+6bfJ8iAOi7zuDUYlYrC1YOfmh2M4XNnl WyERh0OJHW+3kwIGT1eUVxD6l6tMeBH6v4Zd1SL0WzmX7CP0D9/IHCL0/4kp OU7ol9HJUbdH8muED8/yI3k/jt+R55G8AUNrqh31rd/NST0haF9htUqnVSzm 7muLd8xjG0T1xML0Su0AqicG16WnuU7N7YcShS8ThH5Rj8BuQr/b+jxzQv9c 9rSIB10mzuWPped24lw8hA4XEecid65qKXEun7NUYolzeflYbSlxLr2PzbYQ /lm4e4D0j7l1SBfhn+o9qmknzWnQxTpuzXeqHJ6PBb26s5kBLe1qQXk3aPBL oMYvpKMcerZIOa/XYoDyjeQRl+ctMHLBJ5W7vQSiGicGEpLpc86Bc8mLrNMr JdZd7y2TQax7WfB4AbFuE7XuN2rdbmrdue4HfgWwWkeYtAB3XO7Ey+ZiqK51 5mNxo0Mq1de+U31tM9XXLKm+lk31NWOqrz2k+pQH1afaqD4V909/cab6S5rw xld35EdhF6et7AZUt8wGVL/vWInBLmr+jKLmz8vU/Cma/eDcs01t8GFYaabs bi0IL0hYnOLYD7Migmpjiq3AFjesuEW3CtI0rt6rLGUA6+FHuxZMd4HGzcup bH2tYHEv/s9932EokIu32LxiBIQd75bfeoGBff+Z94Yojuaqe8PqulvDWFH8 dX/QFtRF8TJ/bOzJIwwWnfq4/ZQeqhu9ERLZ1jg0vSg62O+BwUvqnciKeifS o96J7nHXkrz7zFVxkndX/9xF8u7e2rTy/j8YVCiW6QUfQHHL3hmR/xjVkXe/ qt4q4lC+UDFICtWZU6UnHrMHYrDtVfeR/D04vH3SnbnRAvXbvZf1WPyQ3xLC E6PQ3KZem5kgdgnFe3Dc1a22GLzY5Tiz+xkO7AsOB7xCebpK4mn/FIr/Eaf4 UKlUxHNrVB79RfPgzYGyqu6jGNw6Om5hifxQ2LQiMwf5waA14OgL5IcUfVY7 bWRHQusH14UOOLQ8S5EqdsNAMOtNBvG+e+VO+qknaF1GxgrJazYYtLb+Iu3x 2kUj7bl8wJG0Z9ee3bOEPUNn7pD2NO3fT9rDOvY4hLAnPgp7SNhz8ZV8NWHP UJXDIYJfR+xyqSf4ddtWKx+CX9+W9SC/bzxe3yJGfN94JFaA/L7RKjqH/L5R JtKmjPi+sXLNLPl9oxT1vl9Mve87UO/74deY7/tvJZnv+z89mO/7Ch+Z59JP ncth6lyEqHMppM7FmjoX25BZYRU7HHYXl5sbofmoyt/z+EE0b8v8c1721Hk9 viHQFh+AQ8O83OPrrqC8WLCddz2awydu2mjUr6aBtMXbrTLOZYD9+SogPEOH 4QNR5P2J0bwD5P3JxjdZ5P3JfAmevweq6SBUoyd2Fs0f83njnVrWj0Iq9R1d zz/f0f3n3Tbxn3fbDQ6jd/jWDkCwzppzFy8MwrOgVb1XZUdBMeZQyJnJIXh1 w61vTAf1D6PjvfUzOGwNX8yWvWgAzlxgMVmlMwipRU6L6dtG4Yd5pOlEAA3u 2RxbqUMvB4/AvWOZ+xhgzFvZ/kKDBocuuhp+migDuSrfxdkrGVA8Ne8Wn0k7 hNKWLz/XVQeLP8zj1987AHH2ZmkXjNrgUlX2z2jpj+BRIiT/IbQfHidPmqw+ gHhuW9TF74FV0Ogkv6SrngHRjA6fXNS353POd7m8CYfa29if+k+Ih6rFcjh8 R/XbbzvvGW0cDvKz20w/w6A0YMQ/bT8O3k/kcuvP4lCKWws6eWNgfr28dTXq Izzm1ut1UR95eWzl89uoj4R6OkW9eIT4aeD1zw2+OHDtuIlfMkb9y2aEzJd+ GQEyX05zBpP5Mju0jsyXX2a1ZL6EbYwn8+X469iUX4jv3blhlxGJ5tJ3lx7/ vG+PQeGIj7kmygc78xrrhYiX8ScXyD22wkDTMpCU9xewJOWrVqeQ8iGcIuR3 qt4dYvOI71TXeoaS36lGX0vn1XdsA/dDReExHh9hZU9okn98P+SxeaZ6WrdC ovmdA4/xKuAL79xS14942cND/N1ibdCRELqvyr4Wrlwqtraw6gf+juIi8/Wt MONAW1ExWwkGK4yPfs1iQGbtsKOKNw0a6uwMXCvKQWxbKb5vDwOOTMc/3p7R Amq7vVWuTJZAaacpa1k6HdzCeQS+s2Igv69kRSfiE6+St4HUchx2deVG3EVz zekJnXN2gqgOTfHq2A1jYNTPPEd16hwvUed435rrmMtCNM/zc16xPISDT8/T p4OIXzftFH7w8Rjis++nw7ah/FMPYU8Ju4Ly60JqfgiG8pIl8njRXjRPtWyW 8nmJgeXy6DE9ddTvZ6s60s+gPNY1SX6E8vHZztPf7FAdC84urspH9UpikUPq KVTH2sdvM9obWsG+CK+/ZlIDG0MnC8Nk+uFJfsvIM1RnLp3YKXAE1RnVq1W5 najOtH5PI/1v7/Se9L+WJ9P/uiFXSP/L6QSQ/tdc3U76v3BVBKk/ymiU1H84 mam/T62N1K8mqkrqz1OrIfUv/M3Ml4I2Zr6MUPky6MU8xy+bmed48TTzHB9Q eeRL5ZEXlUdJVB6dp/Komcqj+m/y/myOOKhWhetHO6P69H6DV8x5DBKAmUf6 VB4tWcbMo6hwZh4JP2PmkeYwM48UrZjn9ZCPeV5ivczz2pAlRJ6XciTzvD6W Mc/r6B7meU2O3yHP6xfOPC+PfE92OVEcNu/YefCPEQ5sCmmppyJRXVVNHziA 8kvTRfgBG8qvGo4d0R9QfvVMMOUPaTHl9VYz5V//fUXKn8gQIuV/csmR8oph 98l4eN/AjIeOIGY8lE6Yk/FwaH8JGQ/7wZ6MhwWTX/gXs4+CR/LJjIknOMyI vKfHbkLz6o+/Rw9WozqQhQ+Y3kJxqu3srbEPxf1A1q0t/i3wJKb4Ta95CWhN 1wwERtDBXej8zuTbLcDGcTWzMagEPgqHx8fG0EFtTfTs4r3NUJsicVSI7T1o //U3ak7vgzfy8x/OZ6fDKxu7Rbvd+2DCr+6OtdgodP0ZuWmY2AN7L2X2Bvd2 QozUEyO9NcieZDHWfDTXpC1KO01D9SNTe17fLdR/32vsy/ONROci7izkhPpz /muFvafMMNjRx8Phl07MwSd7y1Bfuh1xwKFeHwNHbGjR2Xk0+KrI23pyaRk8 tdg0vXaEDh1NzxnR3C3QacEWf6ewCKRTXcqqVejAYxnDebKLBt3rD7/U4KwE DeUkyL3OgHTjXVVn1drg6NmwiOGuWgjW+yyv5tEPm79GuHVktsNWlQpNvYv1 oNV/5JieL+pbSY1rzVG8nS1oXWmK4k0w0undLIq3gy81vqSsbQOrG9zd/Bdq Yb9qR/Zz635osbVVpT9phZ6PqSGri6pByccGJnj6IQoHBe90GixzF7un7VQB rt69M9stGeDzsH2B9zkanJj0XmLkVQ6bFv6xztoxN37/bWDBH9Y2CMlaesRi Xi0wjrN/SNVD/eiTTlbIvVZwuhYdmx9RDS2ZvpciF/WDtZKhXrpcK5SE6G3+ pVQFreFd0kJFDMDzjnpZQwe8WbTimMLZBvi156VxOmMAAg4o3a7i6IAGVday PI4G2D1THZxdOACSn+Dmpd3tUKet6DObWAd3a55fy9oyAIGUf7Qp/6hS/gk/ duWn2hZUN9/obWBF/UjYWPFOwk3E19JOXjj1nAZOG23Nf+tXgK4c7nXFlAGl gZqnlNAc9S64ZLXn02q4kOZVH4HmKHX9IrL+uwo3kPV/Yv5xsv4vOM08R72r zHP8a8A8xy0/GZrLeHFwtGGX26uPg6LkgZn0GAyMrUtaS3NboOVWp6e2QClY HzcVqcmhz3m/bRgvsS6ysgV6HRzDKrVLoUXG7uWOIvqcf7/OuHxZX8RUP/Ad f73QcvsgLLQcCwlHc4i8Aq+E4lgbHBgQ4vwhVAdjzV3DOb/6weXWts8PEd/L vPZ++yfU3+v3ft/bj/pQxWMBI5PEzzAQs2pK9WYLFMZOjVfcHoIMocVRZ453 Qk/8dlmfw02was9F2e4Xg2BcL24zWdQOQx7pOzpC6yH7gVbY7tABuDeVMXwg YARels6bt78O1S/BhOFnqD46/v6CPxTFQJrn/Kqieaj/P4CpzkU4zBfsrJtA 80JLnGRaiATinYWO+Y4tiM/a86vHWrdD+OqCxHdf6uBF/EGOvIMDcKriz2Kr X21QcChh9ZB0HUyevZ+3Eflj9bPymvyNbRDXcfuMYHgtXC/45Kvv0A8DFunP RXgxWP5TvGnkLwYaMWs6TnHjIB2TUZN6A4O/W05+EBXHQYdvbCS9DeXXfbbV d5vR3J204YQjoPnk3qDA8WwM7KoyuhUQHw5XM2U3QnUlMy6ju+U08XczmHbe yMkn7Zx/kWmnXfin0Ac6bZDPueL6zEwtPDmhKFBwvR8MJAOefYppBc+dXKuX JVSDdd/hfT3s/SCeXEvK77rIQ8pHse0i5d/du3TP6iHar0yQQ9GmT7C2gJcr 90M/LPp+NKB9AQ4lz5/7yaL+EmKjJrLpIQaG9zoDuFD8jy2+9WL8JA6RHKt4 c1D8L5OZsPtyFNXrQcETgzY4yJvt195/DQNhgb+kP0damP6MjWP6k/+HG7mu yA9/cl0rbea6NCkVj5GFzXDpsuQKTd138MFClrv0eh88djtiRsy938aGVxFz b925anLunT6vEKW+jwYnzTteHZxXDvVBPxx2CzHgrN1wuFUTDaZYGs8lDVfA Bv0u8bxrDBjgCTGXd0G87tvK4ln0U+2T9qE8R3QuTcHf3B+ivqidHGOP5s+N Dg0/WE5gsGa4Jp3gX1nfzJn8y8Cb5F8yWRdtnSNQnBXK3itE5/UnQ91ah/j7 JOOff2qiuFf98UprIeoLZa8H1r20Qzwu8fkvAmfv+0biReeDSXzgqbsdocer JJDU41hda0XoeUv1o7R/+tFcPOiTu3wW8d2v0Y3HT4jvfgUTHNYS3/1O71l5 VMyQBlJ5E+/9ZMuBr+fbrt/rGXPiP7Y/Evd/SYMXvTncv00qQKPANDzzNAPu iri9XP+0BViV7J+zNZRAblKjCcsLOshT86rQJ+a8WiHDnFdjl4d0ZaK8dzPU u3ERzZ++mljOKTR/5szxPV7rT+/FL1sQ/1orGLwR9U/3C7G+m/ZggDG8SHym bCWJy44zcS161kMzL8Sfv+kknUHngh3Ycb4ZnUtQylGPAMQjVF5HeZSjczTb KbM9wHju+67ey1tIXlC6K43kBbaedJIXxObpfKZb02DiiGNHqUs5qAk82y4t y4Bu5Zf1697TwDFzh8qWxAp4h68Uv+aI5kw2z3V8mjTI2DrlJf+rDKZoRxJm EP/ab/+YlPfxFyTlcxz4SfklR+Xi59fTwKz1mXTn5wrY+1FQ/PgVBvyk/J9O +X8v5f/EhSNkPBsINpPxHFLIjGduSo8NpWcfpafyfdHY0Qs4dCU56Zmin91y peOKKM412Jjx3zPGjP8FTcz4v/ORKX8pmSmfvpUpX2qSTfr5utB+0s/3ljP9 bJrhIjB4GYdPY6KDiq6ITxkqLsw/h8G13IskrhorRuK89rtI3C/wCHkuHn/u kudC37SNPJeSD3RG5z0cnKYyv4WidUrdpTQ+m2BwxGD8M4GvUz3zhcAjhbS0 CNyE9SIZhzYMSzIOuaUbyDh0OXAr8OV1pPeuoVMDWn8ry+XUIXSOrGZt5mKI b9pU1z8l+OaBU6GTtxDffBqetD4jHOX7sQUFTSgOP715i/mZozlcjKWIPQ6H bNu35t9QnDhXhdvOnMSgWdX1gmQJDiJTMgtnUPyalGjR3Paj+HnD4XMgHvXj X4nzTXxwGErlbbRH8rGJ33379Wggtvru4bp15RC5oEJ+3loGzFsbU6bQ3QIc Z7Qd2CNLYSJB769NPR2Kg0qvE/I/ljjpE/JyQSd2EvIp/C6BgldocCm389HK 1+VwZY/J5V8qDHDq8yHx0Qz+RAKPMrUhcR2t71lfUJ2sTQjo3YXqpORzs6fp qE4+iGPii2oCSbyln4kvdWf6R7CJ6Z8Hekz/sK1MJP3zUGY+6Z+RvXmkf8Zb S0g/PNqyn/RD5M31pB86zsV4E34YaPMg/XAoZA/ph4SgCy8PO7XAw5vfFp/i LwHZPeNv3HzpwL/2QJCWzSCEHFttJeMzDD3Bp1y/7Rqd8/58LvlfO8o/2JqN gvLLjjeCxThEh51vdV2IgWztpO2PuBZY0Hyiki+jBC44SG8JTqRDXfZVZeL3 TC0c/QyJ3zNdW7ODi/g905+SNjaxx2mwyo7lS6JKOShvEt7mIIH4+53ogruX kT/DjtyipZQD9mLLw0FlBtSkfRIVvk+DoinPGxeEKkBY8UYP91GUd5HneP1t aeBpOR3vdrkcFPaFNehtZ8B83qzw/0XYm0dT+X3x4yVNykxvaUKlDJVKImWb SaYiQkgpEhlSKZmFVMpUSWkmIlRCkSFc8xT3GiK513gvEVKJfuc89/n8vmu1 lu/3z7vXWfvsc5599n7t4ZybdB59Ryvv+6uSKNDV6H3/6m6Eh8PXX50fT4UD zjmJX5JKILULzno/osPml9wL1z9FuO7IPPk4Sgnkypt+ZiTRwf8jx4JlFBoY UpK7Dr4vh+FLud02nsjO5LxpdNvaAiMP509t2lQJJXMvSK8uYMCM8p3c58ot EMNITn1rXAlb12xL1C9jQFZMunXV9iGoUbA0UXzDgkT5jCDP5Uz4odHzZM1+ 9P00+B8+cmTB+Ist3XP8mGC9S33BPeS3Nu/nlDh/lgWS0vILPrqg+CstsUT6 FguqBJXqklC8I5co7S6A4p31a9cfaEZxmpJ/AnUH8mvT/dsvzEP6o+x2Myku FMVN0u1QjeytZydDKO4EE96uF0kq2EMDp6HP3IUdZXDQlKLQKsiANTxFOfi+ wBsT3nZ8X4CaM7Ic3xcQeMhyxd9L/Ufigqfoe70XztiBvxfP/RmLq0Yonvpz 1PjxCgokBH6cayXGgF+qO4JS29C5HeLe7I/kzdazvmanxoQ9W5uHa1A8lmhg yr3dmwWnesV/8SB51At/BBTGI/z4o/9WcACu44cyI5G/sId6P0yftttK0MOc fVmYPmdcqUMByWOua1ynvocCSoI5jZJInhPn26qdrtLgndynXiqTAt+Ouei7 6jHA4XJN+xcLbOe3eEcABVaHrrxzf8P/0ZML/+jJwWihFYcRztFSWnsyEeGc zw73rQ0RzsnSE1Ooa6OBi90XJdbfckiM5wxUDmTMqidTe9nj+2zY49eR42s5 D1y3ONYO2+3DLr192gjcr39/H5vuhWuHh/iWI5zRY7kB9iF/ISIy0pDmxgQG qQ9WpD4MSLH14Xpt0PlkGgsCM4J5/JC/ZhZ/+fVOnQn8lmw+/CQf+eVsPte7 qiQCUlgw1HJjxjUE0bM8ZybMmBBXt4HQHy/7B4T+WL3dRujPPJ81IR4Ip81V uFHthPxIT3XPO06E08IdbgkbXWWBln9P+yJkxxJq+vO+ITsmTtY1KGRdY/X/ o67xvz7JWrJPcozsk8yQTKw4/6UFNs4IyVqGVwNVkY/bBcVLs9UvZutXnK2u MVs/5/OY1NMGK2ggI/BtyeTxMrjltTLtyRQdKkn78560P6Kk/ZlNThmBnQWC 15vh8ms9zg3ThcD3ZXTTR3o3CIrcXLxkBQvGdDMb7pixoPx9o6rybSb6zmz6 BEkvI+nAP2ASeZwG1zNcJBUdKUB/Eu7avIUBc1+MskxjaKCfl9RL5SqH3Mcq 218bM+C07/PGgkga5HYcH22fWw5zaqcjuw0ZkHLo8X1rdO6SLfvucKNzF7s+ XE8Nrde5b/jLziss4LX1tTND9D7LvsAvx5lgdIFvsuY2C0bsc+K2IzxQTnV4 ambLBE5y3oPkvO/IeX3OseddUcye91Q5e94Ect5n5Lx3yXnHe9nz9tmw511l xZ7Xh5WVEnaFBsc6rA30eihwxXHPmZV7GWC+MnC/Nzq/BiP67XLI/rQ1Tw6b ofMbET5XcRjpIf2TwNAepIe2jhIez5Ee5m0YOF2F7Ab//ATlMGQ3lm7zX3Ad 2Y08xVaDWM4hgJhN3y88ZUHjx0288ZsRXjowYyj4gAUubsJGD5E/jQ8T+CiE /Ol/XVm+TGQfZFZfpi5+TgGfXYet3iP7UPXc+hC2ez+X5Ophu+fulTAH2703 i9RXdqjQwNukJOfh1zJ4MCJLfSQ0O/144iKDGR4aVE4LrZJSLoNSOdmF09+R 3zk8Q2/+zYQUvb267Sje7os/IJD8jAkC50sm5ixAceJY5psYFCd2r16g8Pwh Ez7E3yDy/JvzDxJ5/lz7rUSeP+mehxFe16+du4l13XftLMbryvosLhqL1i/o 8df1HMJxivZ/Ze9bzE6vOrBNC9dxxK+e2YbrOGeW+f2H6zhPr0g2yq5phShl 9c0Mhxq4dHJgx/YTPXC3qSOLA8l5rWaNXiySs/CxtksSkvPm9z1bvLSZoN3C isniZcEL3vet534wYcdpHU5/ZGc8UpG9Rnam6JBb+gzCq5fsS37EVFGhi+O1 U75xKeSm/j12D8VZRRuZg1PaNODkqsromC4DiFrRYibKgKdHpBSFVlLB6tPb QNfhYlg31+2vhi4dJioDCP3Rb95H6E/SPbb+DG9l64nXIraeeG9i60mi/2hV L5KntyUlKhLJM6VIfVKP5FFxSz38tBLhNzORiA3IXu7i2CN/U5cJNVPqjYsd m0E6U22O5aVC6NSlbH5f0Q07ZVSs7hvQII1f5TxLiAIGDk6Nf1czIOZbXgZz igmDFp+YO/VZwJMvnCCLvm/ilc9nll5hgu+rZfYD65HfvPVw0ZMW5qz7WevZ vHWBWiv4mES/iOuoAUcRX5Npnx6INnNdsw19l9/iUgk/0HfR2//pmwL6Lu17 xRs9ONuAf3e36G31erh8fc3Pgwt7IS9au0hQsRXiCoSLL32ogVDBkpjX53uA EfmSr3KaCWpJez1oSE6PxRaGZk+ZwGe0fQP9Fg06lnmP5QqWw4qvoX99DzDA eaW/ru0wFa4ldJbnVJRC31+bFt7PdNAn8dLYP3hJYkTqPcZ7++2pYRjvhSaf f4DxnjmZN+sh82Y0Mm82m/5Hnno7dhThKv4fXxPeI7tCPebzJOwAE05cdKdt Rd8p/lzIgb8IV2fe0Xmrj/zaqRcrDo0hPZffYtMRi/R867zYcQ+k5wvJvDfj n7z3ztfQQvBRriL4ROxgZmE+a2J2mmE+RYV5nzGfwG6XCcyHN4Hu8NmdBsqh bX8moyjgbLt99wVFBjziMXPE9K5LjjOYblUTRNDNzzSmYjy2YYQijvFY++ea XRiPOZL2gUraBwppH/TWFk+ekxsCT89GgZWvWWDId/DYd1Em9Lux96F1kr0P 7nbsfdh69MuvD9Es0LgsJNaK/PuD/PwVG/E7rrPoyWx6W0dx/5C3pxUeL1l1 Q6axBkbHV3xP8+6BY5q7xnZGITwwEvQO9x88Yj3eS0P8taXn/8bzPl0tTswb Xp9KzLsvXVNAH9H/hhfXvkL0fQ19sVaIfiRknzCmnx8uqcP0uxnXYjC9ap28 voU9Czb8ZnZwubLgW5/Gn2PnmLB/W4KGnykLckKHE4pOIpybLjzl48OERST9 IUlvIOnR+a+PXe2iwYO7cUUdghVAV2+z0ghhgHjeZit5xFdZrSM+2YMFEoF7 foa4M0F4/oLpZVtp4G8oUfYusww4Odc8HeNCej7M5uOneZfgo3iczedFDpuP oCqbT3oQm89t8h2hbPIdoavkO0Im5Ds5DuQ7ORbkOznX3YU61yO/5jYBq6Yw Ts78tZ0D+cezn0FaB+lnWJFnizXSx8cFOZo6SD/Ddtf7VccMwbKGq0GRTSxo mZrW+zs0CFTfE1J4/HYtWWL8JzFRLTw+eLT2Fu4znxDgJfrMZa57Xsd95joP 5oT2IfyctfTJ47AhCohbaE2UIfw8994f3fXSNNCupH6NiSsDK/MUVYEFDBhS YzrMKaNBj5XWhZvZ5XBuO7M0/gwDWMuVrPD4y7pq4rFoPIejtwEef7mUe3X2 QRoEUAa6/9tKAVdRZ93MdQwInlAl8vlmeYuJfL5ETguRz//dv2gdzvN8fdES iPM8IwWviTyP5nfF60EPaJCe6RuZu7UcaC6ewjcOMUCXpL8n6W0k3aB256H0 j83gNP46YOn7IngXOrZlHRcdLl28v+pBLRX4Pwc7GlmVwgHhZN2CUjqsc9YI +8+NBr3LbNY2XKOA/SGXsV07GTBK1jsKyXrHb7LecY2sd7SQ9Q4g6x0byD5z w3/6zO+T+Tqvf/J133snHOZ/YsFPzYLO7+gcTIwOKNWh7zI6C912PzsPE3qH nYf5Pe1F5GGoS1d7PqlA9ujtou6GmyxQEfHVn7cX+ZVx72Ul4ih+P9KquuMl irfanm0IE2dC2h1pIg+jFkMh8jCUjz5EHiaiI0bU+QWKvw7GWHxAeDkmOvDd NRQv/DLobhE1p0HjeikWawcFrXv9vhfrGVDQt0nHBNmNyl9enwcFKbC/U6u4 CtmNg0HMzgfeNKDc6yhjvqFALm9i90FggOW517fi7qP4qJuezy9TDhtfRL5X MGdAQIODXXoADVJXDS/7W0GBjfUXDO5ozD4+g+fmV8w/XZOnHvPfczWAgflb y6isMzGlQb5w0oyaLAXyfFyXZ69lAGeDBiFnjUwpIWeU5kFCzuN/l7XidRUc 7SLWZblXj1gXhcwzXCDzDDvJPMNseHVx6zPXqdM0eHkzRH4ijAIcpjO6ZxQQ DuS4VbfxBIorU7YOaTtR4GWXQS/IMWApOT6bHM9Jjvcn9VOM1M+DpH5yXekd Lzs3CPK293jPVCI92DJ6PxDFPW8zC6QKSgYhS4lL/QyDCW3e1udi5FhQw8vW B79stj4MLmPrg9h7Nn4WZrDx8/0DbPxsJHhY91UMznv/UJf2Y8GRE2dWvD/C BMtcKzb9GZueFsGmD9jJjcejeKHdzYAlgeIFCQHhpS4oXnh5OJ3IV2j8Uiby FYLFkkS+wjL4h3HMPeR/25sVq5C+6TJTF25HuKtvdQ9BF+GpJ+jOb98Q9Cyd kPZahGPVyqdaOxGOFTjqn1+I4lD/d5uqLqP1aJZ8+16K/HL2KoHKOOSXhd9T 9PyQPvt8Co1ZjsZvfNdQXIH0+WLGy32Gl1H8KxhotwjFfQOqlJ0PHf4Pffgf OtVEKvpyBOLzdPfaFYg/ld9Qww+d29W2hpV43vO6z4h5F24+R8wrYZbYhuW0 Fc0k5HyRxSDk1BI4cdL+Lg2K7ArEB9eUw8r9zXETKH68wZ9civOTKgl/nXB+ stsv6Q/OT1rccCXGlx7pIsbr/Wknxgvazb0bgvTWO1jB7D7yy9kvjzR9Q3o7 1fTthDU6n9N9TyuOIvl3v9v8URLJ73VnrD8fyfPGZsv2ViSPz7NNB8uRPEba Y8R4OnciMf7Elk3E+DERHWuMbxUG9hH49n3O5HaMb3XsCyNvv24BHY6TsWWj VcBIERu+JdoDsmTfsgHZt8xD9i0fJu/D6pH3YT+R92FFyHd1esl3dUbJd3WS yH7mGrKfeTnZz7yWfC9Il3wvyJt8L8iO7HO+SvY5z4lg9znPdn8z+J10rGkx FSy2Gp6PlCuFT3F8nSvy6aAV80WZuZQKWyy4w7Nzi+FFQ8iJe3voQLkt+W7p URo475o69MeKAiFco96HNzFAr5ar1h3h1W0hf9aYI7zK1/P2RQ3Cq7PxEXGr UTVMpMIP1S/zV9WVgMGvY6knk+lQc2aqDPNxDHFdiPlMpBQmYj5l5Lwn/5nX TDeD634GFY5uHDWY+F4CZV1de55n0OFutseBlZw0CFZgTBkLl4Gdyr555kw6 pLnsmEvb2AK8/F0qWryV8GPvmTcCuQw4yWu82cwc4aV9igvfOKHzVJZwQPES E+bKT+uGSiEcMK/4lIsVwhcpG37k32TCTPDaxfgdhHdcocfmITxmYvARdJCe 7287YDR5hwUnHauLbqHzzjk37nSDDRPMpOZpvKphwUXN3fqyCA96dPYMbNVh gtMs8ya533t6Ffk1prr74zXo++6siFkWjb7vUv66L7GI/6vFNRrnEP+VK7SE pxF/5YyzlpahLOh40702G+ktQ7bELesEE3zW1R1/i/Q8RLczk4r0/NSND6+q kJ5XMIvpjcgOPJsnd3YHohv2bTN6iuzAb41x0y03cH+UaoEJOr/zslQVtqNz 3e0Tt/DwZxbco+wX4kP27NSHB7seqjLB9HNe2KM4FpR7vrlch+S5FTYucxnJ UyLvtQTvj+18Q3u8Py/+ZKvg/fnycFIP709C4KFCvD8JD665Nfxf5J9tvbPJ Odt6xRRO124/RoO6Zq0LM7YUGNjt3imzmQFvleoYB02QPneOHmzYSIEAJ6VV 85Ef9HHMPKN4hgYLYloMXt2mgPfGiy0uSgxY6y2868RtGki07CkKEC4HfUW1 1e0ovlPxkFLF9KTEI1RMLykJkcB01dMhTpgPnWdyE+bjn7aoEfNZRcpTRsrT R8oTnt/vXXeCBX9enuTsQHjZaVFc8t6zyI9l3rt243sL+N98L11QXQ27VeIV W7R7QKzbbeZEVguo3MtbI/CzCkTTdj/6vKIHPN9vL2yMbwGxaO4vqx9UwRQl y7N7cQ+0jNXvHd7Igq7H107sQvqcdmJeAEckE/5+vmCbL4TiusFLb3xN8f25 47I8d5lgdaNbZPWSFjCu3xk9kFQBf3zeC295yoAx+UAl6nrEf+5f2ifOSqg/ +O34j7cMoP6Ve1LShuzAvfuelL/lsMswQlA+kAHnj83bKWmH/IuvX+4vFxYk s7i+NZ5H8eZMSoYj+n3+zrUDfCgueKiyv9fUgwkpDKlpk0PIXo/FpSw6xYKk 36P3y7yZoPD1bsRKdxSX9sic1D+D4pdNUWqpbkyYulHnsXYAxU1PkzhM8P+0 mfc87t2FvrtPTIPPIDqfR2eCyhA9zN/r3D5EP7VUtxbTN1QwAjE9oO77eUzf UWRP8BlYEEzwsdsq/ATzuWESVjOKcI4083zF4EUKmJTtot5DOGfS61UIRZcG G2+MTazgpICT7uPPcSuQnnBsJfZB/il7H1qM2PvQHMHeT79a9n4mkPt5jtwf 1j/7o0/uw0pyHxrIfThA7sMuch9KyH3gE+vmHuAcgj957V9wvirwF2/42c1M eM7U0115igq7u5680phbAgpyFQZ1fnRw/lKZcj6IBhU53bVb6ykw5mf2p0WT AWfHvZSeBDcDv/nf7povhaBX+Tm/qaMbLtLe2ftr0iCjXeel8kQZPJxhyd1B ccc2Mq+bQOZ1hcm8Lvfb7Hs5j1ngr+kRTgtC341x46mHJXPWd2IfPe9/8zub BbmOsQeHw1mQ7911i2WMzrXjAya+l61iN08Z38t+EHVaBN/LXjf4tRXXOxzd 0z/ieoeCu009rndcP94xgOsaowbLUnFdoyti5hGua0TRsz4lVVDBe8uV61x6 pXBuhrtOrZgOUwpDn/D96H5WYBS+H+2eOW8+vh9Na2xl4Tyb9Z6dujjP9jZ8 oTXOsx0m+5wPkn3OCmSfc7wrfQDn3wrGdqTh/Ju+0lEazr99KO3ftR3piTyX g6YIBwUOSex9shXpSfWGZq7/kqjAF2CjTmsoAb4P2pU/kB+8d6aJoF/gOUzQ XYBND3SyUfJo6YDNNlsfhw9SoU5+ybNlOf3AkA8Oy6CiOEdWY4lsLNLntUF+ 0hpony+4E/SGod0E/UvoVYJ+4bMv8V20jGyJ77L5cDLxXeYcMMq9gOjRS3Mj ixE9T1C4IQLR/Xf7cHaj82D/IOEj/p8avzarfvw/NWfFovakILrZsikpH0TP lzHoiUd0mcevsjCfhozgm5jPPLPXjZiPY+KQIh7P/fH0RjzeJ96uD48P/CCo MLKVBvV9Rze+fFMGc3QKDK8tYUAg+f7DNvL9B03y/Ycl5HsRAeR7EUbkexGv yHpiNVlPTCLrifb/vPOwgXznQZp8F8KRfBdCinwXYs4297SqKnSu2r4tCsd+ 3kGqbwnCexb50wZKX9E+p5w6lI78kp5H/SEPFYR7D2xOxPdc3P0Kt+B7LirB TT/wPZdNq9218fhncn0H8Xgb9W2H8fid1l+fY/6/TzotxPzTb8sPYP5KFydM BLfRIKfHTHtjForrZYb/PEX7kL1YY9MPOxQHDU8PpSH8I9ua+Vgf4R/DVlu3 ZeVIP51+59/SLIUiekjWhiI6vDikJ47Pr3FBXwQ+v1snO1Lx+fWS2+qLxy88 snAYj1f+ubsAjx8ti36O+1ffKesu6j5aApPrvvzA/asbR78uxn2hLc5Dnbgv dJ7pjSncF3rnbKIxlnOxS/MuLOfXrru/sZzxsnK7sZxNlB7xl0jOJUe3pGE5 /5atcb6aw4JNhbTbq1FcNX+8qOgFOtei5qzsGbQvE9c1dsUh/35tF2tlLfLv T/eM0j6gfekc+WC+GeEHr9tCV7kRfvgaUEbwKbfgvYP5iKmfJ/io+3xi1jxn AZfFk8+dKF7hVNf4mWOO9K2jNQ/z19nTr4z5L+fPFsX8q12XBv5E8cuIxZ9z agg/iOR3le7DOKci9Byma/GsP4PpP98trsL0u9VXI7cZ0sBXzOjQ2DIUh7rG ZjiuYYDGd/G+NoRLn2u/M66woUDbsp9Hh9B6W29K9Y6oIT+4Pk3JlIXsVWeW f9UyBpye+SOe5obioqqfqhuQ3db9GiXbiey2HqfiQ+HzLHgyFmysd5YFt2WF dv91YUKnvlTYQhQn5muL897D79MGmu2SQHHiBbviUEy/NT7Dg+lF94MJurW+ nPdBhH/Sp7cceYvwT4jR11WTCP+4F3pVYv+Vwf/pA/ZfP/mFmrD/UiXraJFk HY1B1tHaD49LXEZ8iqa8NcsQn32Hj5d8RXx8Bh4pvUb7yTl9ltsf7aeui/C3 b2g/3+x8wxn5hAVH4zrerAlG+j/plMmPzruVExdRL8uzfUvUy+KvOxH1sgTL 1bnFwjQQ0WwKzzxQBvy0l7c/TNLBdb3hfpwnz/h2qQ/nyYs23ujEefLHK0o+ XkN+Knrsuqw38lNJX7fV9yE/FXCFfsTEnwZrFOWGNEspsLFWPPeJOgPsP9Q/ wOOlH1xJv4jGr0wefovH+5PjV5LjN5Dj35BxwQYyLpgi44LLninb/Xe3QLbb 9T9PTCrhfVjaMkYZims2X/RvMcZx/ZK+K45onx53F4r5Ifzv8Xv5slwWfPz6 kaqP9HO9x8RDF6SfpybN2y8ksaBxJOGsC9LPxRt89u8/xITElZYE/VfSA4I+ JXeJoJszD+yVyET7yer7/iwM4ZfLS1OnTZiQXnfx0+dqhFvAcU0POh9LuQ+H RaI4orFWOV6miAXF3179mLmOcN1qHt9afSZI29qENCCcP/IkdQ7G+epTuUyM 8w35z7jLPcXvBjR1mqLvNSNzSKvSgglDq8puP0Zxrnky36Qk4n+Xb+1fHOdq VqVL/6ilwbMq02851HKQ9d3c1neBASdUtj3vyKCBVUV+Hd/pcmApf+QqsmeA qJJ/BK4Paiqe5uZ6ToF45bMncH2wO7g0a6qHBq60Ul+KZAVcNvLsEQ5nIDv3 ce2yzzS4YSixwpqzAlz9y7XFgxgw/e7T4ZwGGuxY+/W1cVc5pL2Mlm3xZoCR 3i2zG9FIn79dqd6wqBz4l7oe3GjMAL6u5PBlK6igWqxuNT1YDPySX7IideiQ fJk977o29rwCxux5j9wwWpVWTgPe2i2XOwrLgfeq6cylswwYJ+WJJ+VxJ+WZ 7X2V8098TzYmMeGw1XxvWTkWtNXPy26tZMILMzvY/w75peeLnc0VWBDUtDfo ZjETVg6/DkzJYIGSZP5cX/R9T8t0mW43ZUI7iYfvk3j4NImH00m7sZK0GzKk 3XD9uWTOhlcoDrL8RP+D+Hw7bfMlDOmJVc/iqQ0FLNB4K8lpgvShcNsC3ywD Jtz5OuB7tR/pgW20mRj+f+KmeW+llZnAWb5jGo//INxFjPeV4vbB42N+RM/D /JPr5vRg/vM9Kjow/4791xZjPBDnZ1iK8YDm8/96MR7YFJv2BdvtRQdNLLHd Pn/ifii2298v92pg/GnaZP0E40/lsVd6GH+G3+1YhfPec3XUibz3f6p6RN67 cBNnVnsEDTiOHFCsnaSAVkC+Y5s+AzKzfXdjHBX/anAvxlEU1xNPMY5SesB1 ccyZBqeEFPh7AihQclO6bf4OBgSTeGk7iZcaSLzUQPaZKJF9Jrxknwn3P/lD GzJ/eGOW+mzp+EOiPrsp9CpRn1Xfo0vUZ0VXFrDvkRUmEPfItP84EffIxnzW NmD8Ofr4djDGn/M1oQbjT6HIoCPLFWjQJ5qwS/JjGUQUNg568TBgT6js6RYR GuxSf5V9yroMJI47xA/8osPk4hBifP7rRGK8lU8TMf68mwIx3jS3iRh/4PBp YnyG1BZTjwQqCCXxPil/XQJMO45U+hM6iC8QWWiJ4t9WgWVvv6D4l2X/l3MR in/dxI0J+7N/ppewPxtKuQn7o3TAm7A/GU5s+xPZaEXYn6d5toSd8RZJI+xM pg3bzvTfuhTcivxy59n4d93Ivr3aZlj2GvnlJNXQ+5UPkX68MK/dhvZngcTE mBHyL1u4k4LweENVU2I843MaMX7De7YdKCftQBVpB2ars69LCHb/LkeDCcX8 DOXMMujT+zXeysUAGzLvXUjmvfPJvPfSYyIzceY08L+dx5e0kwJ5NwWSOCUZ EKHF5YTzVOqK2rE4T+XgYluB81S+ox1xw5w0SA7wUZQVKQPFIzHVg0w6mH0O XF2WRgP9dGUt42PlkMybnh9zlAGCT/QabdqosGbD3Vjp4FK4LxEmPrd2dj5D qudt1Opa4EjytNqv/dXA5fflv0Wbe+CFZKnWcTGEG89eLbJDcSGj6u6x5hgm PP7nPSsm+Z5VMnn/tIm8f+pG3j/l/SdODCLjxISxhaXfUbww1lsrro7iBQcd jk9LUbwg8ybdIAvFZeKKGXI0FJcFJkS/XLKfCXElCYufI7ysEG4lt9aaBcEW /q3uEUzIVHrWiPn0r7eQxHzEv/ZXYz6ys/CR5Iyk6V5D8QAErj98iQWh4YUt fvZMeEv/1WYynwZKritMry0vg+Jf8j+2suiwoF3NDuf3Yj4c27JfuAy4Xr3m xvm92e616f5TFzYi68Jckq0JMR0s2FI5st8L4ZSLxTpyQqpMmFHItq7QHoJx AaPU6+9Q3DP93vw7H/Kzp3tUDRE+jMz0y1iE8GFY5p8ldxA+fDD/t480+p13 ZODSfoTjRC/eKNY6xQTTlbs4XHDcNXAv1BHhNOdaNU8HhNO0yLyxKpk37ibz xruyJ36LjraAkUZZVDqlGqwVth5p1EJxcskaz8MtLWCfXh34xL0azpecdDgt 3wMcs+QnvzN7046tYsHrB3NW25kj/HDxivTmWyjOIvHMCxLP5JJ4Zp++3VTR HBroPeFY93xxGUTxbfk41U8HHRLnfP4H51j4zzW8i+Li1dd3TtehuLgton/d QxQX3w6e+bIuhApPYrspWrYl0BK0W6Yuig5KynEGeHzLePUUHv9U+wExPo4c n0yObyXHyz5UXHtgoBlSrT+tHNpTDK6yIwm319Fhifbt57KfqXBQJfeuW3gp OCctyNaqo8Nbsn60j6wfpZP1I9r4w188CO/ZjnrzmJdQYGJwUeIZhPfiudvG uvRp8PpnkL61AAXq7eiO3qsZsGBRyRLeGyzotV40pYu+p2P+0jQ19H2zclbE jSM8fE61w5WJ7NuHr6ub05G90pe0UTQXRnFfWGUwXwoL6DKam5dvYMLwMdu5 0qUsOOPA22+C+O1UPn6Wcx8TPj2/QOArZenJHxhfHdyvReCrxeIP5keiOPGl fdmdaoSvndTeLt2H4kRlJ8a3YhR3GIdcsBsQocDCBfobalHc0Uyuy4Jc1xi5 rshf7HXt2RRKrCtxIYNYV58puw512Zldh/rxH7sO9STmI7Fe553s9YqOsteb t5293tVC7PUar1pDrPdz5vGHl0ORfZYQjiq9yALKzs/cj5E9WdCV8+DrKBVu Ol14x2ouhS2WNjtCO+nwa3c+sS4B13piXZolz4l1vXWjitoF0yDcaUmM9ScK JC8wWeqjxYBkI9X5F88hP37bbu78JxQw2JiVnq3MmBVfHXKWlu0/juIRw/Cv N9C5t3y0TS/zLBMmYmM4NLxY8NfFveEl/n+EMzMKXiieeiNiGvPmPg0qUmhx rjLlYKP77vVecwb8sg9uuITmXdssnceD5n1mtSIpF83r+aZkmOMxwodx/tOO u8rBp+aGh7ElAxzfr3fE9f3k13wXcX1fRl+oDNf3qR0msZg/Q2T/fcz/KNfp N5i/bAdrFPPRHrm46CTis7SC4on5pP33aPuyrzTYZHLYq1C4AjQmvgw+DUE4 ucrlmdTtZkiJKDuvJFYEbZbDH1sHu0F6iYBHK/KXbSvil1y7gL6Px2o1HUcm MH5/247zJ72C38Vw/uSmgYoBzp+Ikf69+R//7sC/YS6PKg1unYz+XdJTBl1B kau9hBnwksQJPCROGCRxAkv7xSWtfirMsT/zOuBNKeQuqNlWRqPDhTvsvoil E4+JvggLU3ZfxA2yT8Od7NNwIvs0pMl7jk3kPcc75D3HTrL/ahnZfxVK9l+J jDXQ8zxoILdA5wHnLQrkMjTm/qfEgGMP+G85eqN4sJ4RIvOGAifsuhZuAQbs LnSyxfXxl23z+HB9fM5iIX1cH19YIU7wOX+q+x7mYypcPgfzmRm/EoP5KNRH BWA+4qtqFmA+zZMyfzEe4B+8KITxgBQ0EXigbKf7Bnyf91xByyV8n/fSxf3R +D5vaZvTWYw3eK7rf8B4Y2PH20mMN2Q2lLwp3obwrdOW9eHZZeB/t0tFbCkD BiwTW7Bf+3SJUx/7tRCXqHHs1zZsL7y18w8Vnm2RmOz4VQo//nA2VvbQwYpZ d/408lMfRhl3TqFzHGLRp7Me+anUKZd9m5JRnGl9O2UG4aWdYiIqEQgvyfef mh+DcJQArfh6FaLbVqf3NyK66JfpL9HI//5oY3FVI/97JtzpuSjyv/MfPeqM RX5uiWJ+fTX6br0K7q+LjBCftpVnsL4tFx4n9M1pMFEV69v/6r++/9R/ryzl 08X15dfND6JxfdnSfnEJri+P3Eg3c7rHAt05e5Ty8X1rn7/NWihekLvKZY7p +8ytCHrrOypBn60/n2uxeREnmjd+5bzNIwgniDHMfuXgeWHKehda5xLeXXlz 0fhfEwfXJzsgeytwznnwJpLT4ElAH5Jz7VKuLGcUj/zYsOLEBMLnkzuL6pho fetHBU6aI3yesvauGO7r0Da6ZYX7OvYvq8/GfR32//RxPST7uE7q2584iey+ 7SYVIUc03mDuy4dz0D6n8EstvYPr4EdVF1ejeR1UY+5FHp1d/tnkPG50xR2v y82joBiviw7RK/G67upU5+I8eUylgjnOk68uTo/BefLOU+v0sD68OydF6AOz 5AWhD8OSIj5Yf/K7ku5i/fl57YoW1h+Kd3EX1ofIU5uXYH04e1aA0AdO7oDv Gg408OB9fHnNaQpsXs/LWLCVAcNGusXPjGjwQIlz/cwKCjyeP3nTRQzF48fO Bl13pcHl/vHNo+EUOGksNdaqwAAedVGfxFs0+LFfbqZXAOHhtPrDpgcY0Pbe jc/1Ig2eCs79RMmggJE9R4qfCqIrp4w1I/s5XjyWSEf2U/63wEY7ZD9n8xcF B/+MYzn37NaIwHLKPKrpwXL6Zd0Nx/L469fqYHkGfm/+ieXx3X4lC8svQc/4 OY3kt0mdG4bl/5+cE6Scz0k5mekrb+8IQnGHzN6F+nUUaPjbcDVFkwGuE6dz sJzvhX63dCM5o/g9Zo6Yz76uFtKeh5D2vJG05y9J+7/lH/sf7Mu/0mVuCxyb a8alEFIBwv7vTtneR/6FptyRj/yZ/YnONBrC+Q0HzfbEnWaCW8BNAhepZz0i cNG7nrkELko7OHLybz4LqssurR5B+Nrta7zlLkMmqNNteY1Q3No1sPiXDdL/ PztlEoSQfz8qpeSEx//mjSXGC6p5E+N9tqkT45XmzSHGr7msSIw/KPwzFNe/ Ytptf+P613qx0A5c/0qWPkrgn3OmfAT+qftzjMA/mR2luzREabA31tzM4mgZ BO7gvtX/G+F23ef+l9bQILEhIDHIswya7gS7xszQ4SSZb1n7T77F/GzbnAVn 6XA26sGlsg10aMvOZnVKDIGv1oIIbD93Vla0YPuZO9Fdhe2nXKcfU72TCt01 /BdfRZaC/QKe7fn1dKDJDcbDPsRPMCmGK48F4OCa8J2HCc6WS+ybBqmw1kRP 1CG/FNa/L/KKaqVDoZTX1dyvVPA815OWf78UcsLWm8p+ooO3z+3Lg7FUcImW vLL6Vgm814rpZNynA+/HTSrGKVT48dDj89KOEshcMlKwK5UOz28tcW/8xIJ7 +8+q7IxB8Rm11eaMJooj7s+4YbrEjBtBT0z8QtCDn7tuCD1Pg0Nj3P2piRQ4 LiRI9dyNcItTmma5Bg3MKdfs338vg9t5ChXLRBggYl5Ce4j8juvNZceEkN/Z navgsQj5nTe3MwpzoxDd4RCf2vxyYI0rK0UZMSB1+JE65jN6xM0a8zH/VEb5 v/H5Xx8gg+wDPEb2Adb95+ljiuR2dZ6c4kLxzurXxmI9KN6Z7T6+/hSFsMMj rb8JOywTXOqI7bDyNrftD5D/WvZZWrcO2TH5iwG9NciO8f5eS/T56Da9JPp8 fP96EX0+14JPEfn5mM5Oc5yfH/vgS+Tnhxs5BnCfT56HPNHnM9UoSfT50AMH ifx2wSsvIr8tUXaSyG+/Ezfr8IxmwY1MlZOFyM6P3DtltBfZ+XMLDZ7rLqRB ZfLvFguxMjBlqQ5HDtFhy5qaK8NvWWDxQbM/BtnPkxOB7+yR/ZztfUKvK0cu FqNzkf4tpDAEnYv2yaeShXpMuBXsZ9CB4q/DrmXrF3KVwatNuT94BuiQ4dCq 84GXBj8FpbJL9pRBMoN/PGiMDp7TxwfmXqKC8CmP3vm7S6DrSvmJ9Kt0uGvO 5ywVQYVLwzanN3iXAPficznud+iz5h/aK0MbMR/jl6xbmE/S+rdmmM8OGa9Q zOfLltQazGe8KacK86k61WyD5Uzj4z2K5fy+uZ+DF8n5kpRzlJQziZRTIUmO lzsX+Xujlsa9CFe8sJhKc0d+asHzrVFr36Dv8lH0UuIV5H+/Byx6doAJu9ak vR9gIHwT4793MI4FO4JPqVTtZsLy2FoLZicLLj26em8Q+a9gOcNnFwHZk+oB Icz/eU9hE+a/b9LpBeY/n+T/nuQv+f/g713fdhTzN1x08wHmv/iy6iPMfyYt YLIP6e2JSzYxvUhvvyRxfilFejv4MljkYTPCUWZ+WxuQvgtVF197qjH7+Nn6 bZY+DNqc5of8VF7XFMdHFN9xiDA3ozjuXq+eDKZbVaaOYPrSo039mJ5F9qs4 kv0q/mS/SpL/nZw9CGdfMPeUSjuH4vU8m8sSzkwI2i5Q0x/ZAkmCxarPLlXB YWPR4kGOHoQ3pxYnyrNA2KY6T8KWBVej9ROKrzIhWoJyLuVPM/gc+PtwW0Ax WO8Zk5bbhuL6or3jGyeb4fLK8FXcp4vhe3P6tf2b6VBXZqu4Zgjh/K/vBJMQ jtN6fo2ySokJghExCpgu8EGcoNsesyzH9LiAi3vGeYYg1pm+71sSknevd+KE FBPGyX6StWQ/SQPZT6Ir72m3HJ2XntWfDhui8/KNZ0n/EuRHLl4VVLg/ZwgG dKRXbHiC9vXyXc2jckivjERH7BcMoThvZ4TQMxYcWsVtWbUJresYnN7hSoXU 3ff4g3lLYEpozvOMQDrk2cTdXHeMChb5bskRPR/hy2BbyY6LdMjZXRBTyjcE HZeeXwhHduiTR9Sm9UjO//3P6bl//ud0tv/z+t//RlX8879RQXWHiXdjZFwc iXdjPOXoxLsxR40tiTpLdbjMMK6zJDp9b8V1lh2mxUm4zuIZr1iL6yyaMZ5E nUXeQ/VpXDsNFojslknlqICFeZKUikAGqByzEZN6hOKOzL7oMzvL4T/tXzbZ FgwQFRqILUunQrNrRviSkRLwlV18mT+DDo4rwoh8+zXJVbtwvr1ISfQkzrcX FsURfif/0EPC7xSkyBF+58gpDiLfrhOxnMi3/6xeR+TbGecqso1rv8I6IRPx +15dIBW34s9N9P1MDsU+OKPTBQNTVQ3zHrfD7vVz5kk9HASPosnB6cVfwCP6 UkTNdAuUiS7QbIoYAHltm3Q36AaB3mHPwwpfAe67ba1fMQRnK5/0JmZ8BW3V 4LDFWl2w0qt5vDMe+ZM0/yvON/pheaXp6uENyJ7WZPC3IJzwRGDUu21bP+z6 fPcXb9kgxHrmt4arDMHqQJGnHE/6gbNeXe7cZibER+8r4kffcbHemFMe0tfr JZp3WvD7DG8v84mjeCT/TGzGIT0Ur616Px2xmAJ2KytqXq9kACf5/uQ+8v1J B/L9ybxZ3p9kPCs8EdSG4qhaFy+PW/i9cKPJM2pMsH0mcQTT23oVz2G6frj2 b0zP877CHxhPBZttV1/eTC4BPY/sX42P6CBwK2Y9pr88oTKO6WlPahZ+QvSK hNIRXAe/G7m3E9fBdRct/YHr4GWkX3Ym/bIE6Zftux4T9VxLo3NEPffFjBBR z3WKek/Uc3dydxH13MoXDkQ9d7Ta4AKuL8N/N2xxfXmVV+5qXF9eNLJ5EOep CvY9MMB5KspX3bU4T7XhiihRHw8PeEjUx69+/U7Ux+NCpYn6uJpfBlEf57r2 lqiPtwRuEx1G+O2s4pLEQ39KwdKh4L99vXQwIfOTJ8j85B0yPznb/0e3kP+b wE3+b4Ij+b8Jiv+8cxhAvnMY7K1B1E+HfbOI+qnfSy6ifmomPje/6T0L9q7e J7kT4eGL2Stat6G4OFLjet9/JiwYZWWW7z3JAmOnPb9W+zLB4ouxIwe+l95L k45D+FzNzFRxCOHzS4qdc76j7590/MqxgfMIDxv/ybjghHBRhk69GbLnah/L w5o24j7D7GJsz1VN+1/ItlNhxsXj1I+QUtjF9bMmEvnrEyVzYziyqMDS7TMC jlLYmFKrU/CaDtatXgSf6rdnrmA++7JaCT7bXrUTfDL8tAk++lLfCD5n6S+j MZ/PghRDzOeFUwzBR25u5jxbFEf8J86RveZqKeyoX7DiJM6vnjnzfflGKsQ9 Ob5FReQjWCxP4Mk2psOc1ae/3l5GhY2xUb+t2ouhPiBk3klNOmwm/89i1T// ZzGffMdy9T/vWCaXa6+PdWIAy+AK34FXDJA0yufw2jgEqeT/hsv/87/hTeT/ X2z/5/8v/vde5dF/3qt0o/+Mxf6XaydYYf9rZLvUA/tfy0z/YF9kn3wzqpe5 If+y8XjXnU6kF4oGrdwijSzgf7095wnCgxKCe28oaaG4KS2A+O7FvC+J774z Xp347u8ErYjvbmjQTnz3wY9GxHdXfD5EfPczVyOI7+56YoL47mdTne9ZvGPB pnuBOTkIt9Rcsnn1GemV6VO1B5i+xsYzF9PrXi/PxHROKftT2H+tOJW2EPuv l9Izz7D/+kD6L1vSf3WR/uvN0ur5HtY0kKmUO/NrHwWely8SEpNG/mJEUXrc E+H5K5b6ufcp0PH8v8xnuxjQS9ptKdJubyLtthlpt7+TdluVtNtDks7PAiIH wPhdn8OMDxPCBDqllZDc7b/L5Pv4B2FCRiW07jkTOKSMH79GdqWWtM8ipH2+ Tdpn5ix8WmfhY3JJQFEW4Wyr5ZOfkxDeEZ6OW+JxHNmx6aPzuyJZkGYo7KiE 9jv0+IKXMwi3uxteG7WOZUHjiaCAY7hP5u0S+dPI7r2K1K3G91jffKUQ91gD d6YT91gz9ql52+ewQOSWTzw/zl8eqNmej/BkdUKlgWw2so+H1wcko/mnlxbx 7EU4f8LD0iSlmAXzatbc9o1A8ZwdbdFaZDfCPwhF9KE4OuFXmlQ/sht1Xiwu LRRHZ1nJEPJn2f8l5PdviSDkT1/kQsgv8VyEkP92z1xC/rdjqYT8hXsjCPnf LJvejuV31/zvDvbjq4K1orAfD78QGYL9+DCZp11M5mnfk3lapej5We4/UVzc 5C1ZwCqF0YsC02vpdKA/FSXywF47HIk8cHR5GJEH5m44TfSHHPrQSPSHhApa Ev0hLZ16RN32VZgGUbdduYVvHNdt95P9GLlkP4Yg2Y8xGm+6u2fbZ/Bf9Vgi hrsJCqNWejbc6INbx9xMJJe0Q+AteyOrJY0wJKi+aLKgF9adlc7E+dJDaiki OF8a/unQbjHif8RMWQU9VNjyxIKS96IUdJP1fOZQ6RBZbJP2p54KgwMOSleO lYLYpqkuRwodWmMOnRZ6TwVJ1W+llv+VAlfxzkPzcugQtPnijcliKlitn1Qo 31YKI7KjjhH5dFgka62tMYLOUc7Dln31pcB/qvfvsQ469AmcfGG6nQbH6XLv LueWwb2fV5tCkDw6/+DSERKXXiBxaT+JSxNJXDqfxKWvSVxqQeLS2eJBy7zS 7WEfEN/zc/JWIX+kez9RYNoAnZulXG3HkH8P7YjyeY/8e9IVCZ9+5N8bSofv eDBQvBbQnLgjqRQOGfsoLWumg8O0x7q0BTTYXfl56Z7VZXBSmP/xOhS3fl22 xDRCkgX21X7JrpYIb9y50ykQxYQV1+7abnJmgeNTJdkkdxZ4rdOV6vZgQiss 8d+O/OoHecPBl4ksOJUQz/tUhgnT2lUavE9RfKHEWvfxfRWk5J03T+XtgT0b Gm0VhZGd5J6Xm2TKAjHtZ/y0OCYcIPujSsj+qHVkf9RWQ22zYj8q7Bm8k8+/ twSEOTlOHIigw7bHi1ouXaRC9MdXw3kKJfDqUO/E/XA6eKe9Jcabpq8pwOMX zxizxxtpEeN/FF/+hsd7TvP9wON5L8YkpdJZkGJfes0fxX2xWh77LPYwQV/W c7NTD7JzeovWCN9lQTb/5KtIFA86vJp/C/uLS5c0CH9h9ngB4S8ujHgT/uKV aBXhL/aHdBP+4mxoB+EvJlfsIPyF3mYdwl9wbT1BzHtwIouYd3huKDGvxbbj xLwN++YR8x6gTBPzvlC3uJrvQ4PGv8XOOnkUSNTWjmlUZcB8+TVOeQlUuC5p oVn5pgREV3rl//eUDin/9BcFk/1FTY3ji5/p436dJI21Diz4OMfsBkcAEwqG HuymurFg0cPpCfkzLKBIuRdXuTGBevy2lTg659SKjAVP8XtaYS8Wb3Bkgmu3 JBfmk742h+BzNBoIPi+E9xB8qpM/E3ym3O8TfNTSLQ9jPkYDowSf2iWmBJ+f ZH1NjKyvPSXra5c9b/reyUO4f9mOTmH+aoj4zt0+KNYDQuUXq98O0OC/BjFK 4fYKiA+6vC7rGgOazdjvXjKy2e9edpPvXraRdUA5sg4oRtYBdaLZdUBRsg6Y 48muA1JjZd9gPB9svZPrBsLzFsuM6jGeN/2YtATn7bM1hIm8veLmWiJv/2LX 6a/iyP5bxu5fmIjs97eTm94Z7J89T/XF7o4JP8Lbyzu1bo0je77r5/qd85A9 d44eoWI+ZtMN8zCfkNiuD5hPp4kkJ67XPNA0I+o1ls/VBnC95tLKwnZclynR ptThuozUg/dvcF1mJeeLmzgvHRzQNbKvjgK023qhOC89W/3UnrQD20g74EDa gSvk/jeS+3+T3H8pcv/tyP1PIfdfK/mFv0wb4r/F+dur6XKY9+PemfIABlz4 0HT4QzUN2l8onuKoK4cfCzZWHfJiQN/U3RW/pFuhRd1rBfNmDSzUtOv1OY3f UzWwmFfaAlIXXu212lwNQQesjJole6CWKzJC7joN5I5cbpzznQKOYyLyL/cx 4LnDT9l+UxqUqyir6W6mQNn1KNqadQzIVlp7od39K+T+OXoyK/0LVL659Peu BgvO84XKf1PG//fulmHjwIAXPG6lDiju1vp9SCwrtAW43A3UZSyq4EPNN5WC KYSTw4v63Sg0MOKkDkXmlUPAPmpxgicDxJp4NtLfoPPQfdu29woLZiTnyhsd YMLY+VOZSjdpwLVRUffGHwro7F50tN6AAeEZ6pYLEb666DtRGXCXAjdfflP7 q4T8IDl+Pjlemxy/wr/l5+9QGtg8fHaQ/oUCTX+2fefUZcBJgXsqI2k0iHjn X9x9rByM/T8fenWUAXfdrLhqLtMgu8NS0qiFAu9XuX66pM2A7lq60wDCB/P1 hXqUkb77V8e3ciGcyesU+FYK+Y9n3dckki6x4NzWetEV9kyQbT+fmoPW4xQ3 bhqAcIh00+66ZwiHhDReveyO6wTr9r09icbXOes/cPm/jI+/1ly8ENk7SpL0 wntIzy8nqstdRHr+h5Zvw3OWBoHZE85CCRQQ/9m/IgfhzKtxZUG2VjTgTNJ7 VKJJgaEiE+UXGxkQc0VrOCMK+aHQMAE/xCd1+PGyR4hPw5RMjAyK7085/mId wPdeGa1PmlA8/nPvaj3+hUPQceD9QkPkT72DXdb6In/6V8dugUslFTzUZ/Rz 9EvBt7PmRHUxHW7/OfvxuhAVVHe6mWk2FcO8Hh++3+oIJ8Spcy2oYsGW3Eox XYS/9BcVu9vronX52n2sMxwCUYmA4l0Ix3FMBPyy4EY48/qnD3JuNIgba63f eJ0CcTPFL/R3MmBd0CkiP1yeYt+K88O0Q2ZEfjj24Wjp8a8ofhcftb57rxSC Hs/1HG2kw/XvlUTe+B0nO29MGQ4i8sacG5tvun1kQZV07qtChCc35K9WqkS4 gt+ft/COeSsYy4dYi8jWgkOUckTb9R6Y533DQ/NZC6gfvWL8o6AKRJo9n1zm 64GcI69Zb/7QoMV+xcPqsxVQZvd6H89dtP9NX34WDXdCZzlV6UxtC/zIkTTK 8B6A/m05Ri8VaXAjme+uWHUZZMRXu+zlYwDDqpFn3TQVFggwtIWmS6EwxWGe O4rH1bmSJFWHqXBAYEmIfkUp7OUXmvzVToebCbuTHiB88MD/Y+Y63L+nWSLw +hDCw9NLK3WQHbMLFKK8QnYs+IfhSwayY4cZzprbClhwt9TYwwzpafZ3ze4M hHN036sWv4xrg94zwa782g2QWjQmoujWC/1qlTSDlyw4eavY+k0oC6Lutyuq H2SCBvf8a8LJNBiMW2c616Qcrn04NKlry4B38hE3N4vQwGGRPOcqqzKoNFNT 8vhFh5r0UK6+AioMeYcLiW0sBVXJR1wO7+lwufdDehDSs6YzDlkl+J3VC2VL TU4ywXptm7VlJsL3o86JOWEsYBmaXWOYoPOyuP6sXy0LPoS357pF4f9/X/+n WZsJCp1XEs9XNMP75TwKG+uKIGRX8w15HjqMjNtFPeNF+yPEw6o6gPC8kbu2 2T0mKJ0QqU7bg/blyetn64+yIFK4d+xtKMIn12c2qRxD+L/MxjP1NPJ3km6N 3eeY8FLlKMFHYRObT8pmNh+9kDkEH8u0FwSfLMoIwYcyHEjw8b6+g+DjF5ZE 8BEi9eowqVcnSb367wJbr2Ks2HpV8ImtVx7b6UVO4jRwr/x0Ypd3GXw6d6vm 2186bJ1m29Vt3my7Wl3HtqsKpF09TNrVINKumkYL+Fcco8HajyoLFx6lgMuB fYKxm9H32uKqyamI8FDpZU31IyyAVWrmquFMEK/r5vTFfXVUbzEX5Mfj0s6c r0d+vDVmg6c9vo+QVVd+HMWHE2u2KwnaIn8tx+bzmOTzaSXJp5bNp6SZzWfp SzafxGg2n4Q3bD5+Ymw+lsFsveJRlCT0CgQsCL3KJ/XKg9SralKv6p+GEHrl 2x5C6NU9p4eEXv139bpJUhETNvMKv61AcgluTpDQKWDCiGVtzCoOFtDUFpbp GiJ5TKvWnnjMBJ6gW4NlaxH+zm9xDrRA69NridkfzYT3fxxuvmpHeuGawXNB DemJ4vTOe6/RPqi7TamuY8EjjwDxF2i8pu6xHlE0fo7RTP+wPAu4rQoWK9uy oI/V+fPRVSYEXJ7mHEI46af9Kbk+Dxbcot/fI++O9ic5aU8u7ie4+ZVORXae Mramcxuy815uyYKGCA+7uPPKLEZ4+EewQt0XhIddMr8RfDzKTxB8woWfEnwW rrlG8Flu10Lw2aknS/ApT5MVwnyUdygTfI7nTtViPrbB7vLmD1qhqufEr5j1 deA/pJOpXdgDbxwE70d+bAE/bdtrB6WqYbESxbNhfQ+UH7AWXBqJ6LanM55d qEJ+Rv+REUcP6KuvLlsvSQM1rvzktKtlUB7Jw1Sfx4BV/AXEuV4UyD7XdSfY 59q+s5V9rtvY5/qTC/tcL6lkn+vRSva5TtzIPtduB16IWZygQbHGlu/DThTI n3But5NjQKvxycdJP2iwVYS1sOhIBQTu2OFWE4v0eX4QbHlAA37THw4xcuVQ I3u32eQQA6buOEifRzjh4RWthAX3KHD0uy7NAPnH1yMWxn+zaBA5V2zOgF85 xK3Yte+wIwPWfD2jMRFMg6zfOlVHmtG83WOyPVoMkL2t0nL7OA3GtWfqDB3R OfLg42zbwgAh1XpDVYRfo4wMPx5C+s6ajvijfAr5l2DzMTdcn9JbyviA/PvK 8HdyU8fwu+Qq9VW3WbDHenH3NqT/Y2Ky8eZI/w8k61498hXRudVP56Hz0aYU VnJEBenDNtfpeeMs+DyYGjOWwIIjfFzSCxUQLpqMfvn3BQ0cMzKn1lqXg/pw pNVBOwb431m4r/oZDa5qjfZG65RD5amjub8OM0CK/F8AKfJ/AbTI/wXwI/Vh dy9bH26T+pBJ6sMZUh8WkPqgQ74Df5J8B/43+Q58Mok/55L487MGG3/miczJ c+wYAHrZ6AbD20xY9vwljyJa3ziNRuCWI+LGLhi3cKpMEbhlyaKQZbWyNNC5 XX2o6XEZuO61eTeyENk3sk6x7J86RfPZB95j6LcvX6FFR3cnDNw3gdoRJqSf czPU+ob2nykRbIPOQezYMfMNikyQjCpey1uG9rmYf/9DFFeuvu5Tex/FlR1n S1baoHhzQay97nFEf0uxWjWE6P8lW4/pCdFAUWpu3S2DMpAoZvi+/UGHX5t+ 8z55hfQ4bFBdEuE13brvevuRPn8SuiOqw/oM+pMbr/cbNUOjv775CoF+EHzV fnT+cDsULLFc+Sn2E8h6Ue+etO2D9XUBMsYfqHB7JHt7nEQphLlEL9v7jg69 k8LnY3KR309YeW2tQCkY7NDxmXhLhxsxQ05qyA9dqxdX5zjJgnheNT4/XyYY fq/Q3GmH7LCszcm/LmhdbZv2VZ1HePI8G+9JBbDxHvMHG++VOBlaX01hgQ/9 o8MZ/D9uT61PjpqhOK7ok5eBPA3mtfkM9eaVgV7a94wd3AyY3Lfh4pzPVHj8 RHySeqUUmmKHkyXr6LCcO3QRSLcAh/hCZSmhStCviM/jfYdwdVWLX+xvhD8T mrqdTlfA/oJBm5t3GNBpVZG3ppIGRXeKDvWWloMSM8Er4BzyU4nqIZ1RLRAU tLBgyq8KBMJDPW/P64H1FV4zuxRbgCHtfaJSsxImi/eV0j9i/L/AfZCrBeZe o4zuSKoAVkIHhespA95Y3J9zDZ2vBO7wu6vQ+SpYcXmrJzpfW0XVulbQqLCr 6aDIJ69SsNWLPvC2ig4XNMY5BcyQ3T5eP6TjhPx7+J+rFZeYoNns3J0q2wIn BE5lxq+shMPlBZSS9ww4nDSZJ+iP/Av1nB9TAp1Hi/SJpM9MFBex/cU+0l9E /T/8hTjpp7aRfoqX9FPfSD9FJf0UN+mn+gL3i1OR3m4qykntRvr5uTL7uSbS z/3kvnmR+8ZH7huHd8Cz6U0tkEubLtksXgkdv6rPZuYxZv2/ktn+j2Dy7iEb DRQXzLnV3W6J7Pocu7NTFSguGLh4O4dV3wqSgh3SHI11MOwk27SG3gNFZ//c ilIZACd5XiczFM/XnrZPPvIFnbcDD0z66pH8+Z3LVVAcc29RtWCxFhOecs23 XrSICl9oQ+m5z4vBcek17U276PCZEr4o3YAKwQqnxL7d/Qjb/wtoFztFh7Ue y13fhVFhT9ARE3XHErB1vr36YQwd0h/tH2mb2wZBNaJVQir10Him5mjQ/F4Y XH763fz9rcDyM85VFq6F5nPlWcpXesBK89Nn++AWeCKV4fnMoAr+ShULnvrF gKDbioOmyI/7JxukL0R+/ETV7h+9yI8r+vVQHx9EcV3/hTYJpCe13j8sp5Ce RL08H+qeR4PJR9QIk1vl8LxtpTDDmQHe63gsklxo4HSt7YZZMAWcr/poBu9g QHtXbW/ndyaMK3od3L4XxR+8Lld2JTNhu+NoEoUH4aHAvcwAdL4Fps5n5iKc Gd+78DUv2n/Ra0MP96L9F0jTFf+K9r9tskFN0qIVBtMm0ny31kLqwLmh0Yge iA60Y97jbIXllLaqy0tqQF5SUibMpAesFxyefI3iQdb7EMNBLQqErKyO7UXx 4CEvpm2cB5JT5MbqK7EU0OyyWzKjyID4rrnlE3Y0mLu2+3qqFQUObAmzwveL +4M7/NYgnBE1/5zwk3MsOLP8FK+cMxNS3K/ckEB6FbJ16RsjpFcil8Jqw5Be Sau9TUlh0KAWety2S1RA1Kt6TqkrDKipvfEjvQT5WQV6wMyrchB4ZrA/3YMB f1pS5PPjkL8Wmffy6apyEF6tuMzfFOHA8Yag61E0aC65uSuJsxx4Vf6KnzFi gONWjbjYURqoLGBJrTGqgMKze6X3RDHgZp398vZJZGc85HcN21eA5u2Voc9u MYAv6mhAxMYWiN3fLL6XpxI+2Z0s/JLDgKNvvW/7I73k8Lc7UIL0f3TZOR5N u9n/x+eItuzDhofIvsytW7cjCJ0X84k6fSvk9z+HdEMcwoM/fnkYy7Bg4HDH nyMNTFg3X1snZRLFE80Jj6r1WCCbYpwqlITsg1KPjN1WFG90iqYsscH/r1Qa pnSdCWuVG9ce+48G7SvO3Lc4VAapkpvV6D/pIH/kcdsubRoksj7tV5kqA5f6 7RvrljMgr4k9b9QYe17ZI+x531/XJOb1PcSe1+rAfmLeu18YxLyVhex5C7TZ 895XvqAwOEwHA42/kwlMOqi00nQT1w/9//8XI/NPf+BsfYNFZUORmTksSL1w 0VgGxaGct9JT7hoz4WzYlQt/D9Mg4JfqqlN6FFgs8CSqTooxK/9eSpPq47so nm27K47/lyM/7KSUgA0T/BP/EHQOyecEfWuqOUEvdngothfF0cvPG26JRXF0 0vkRvqsojq72OCuB6Tuvpu3A9GerdglgulZJfNeRjTRwnlmY5BpdBvVqr/c1 cTKA05ZNN05YQNATf78i6HKPUy7NTWXB+dx90iPIb04t/692rxmOd3ZeV0Zx t6ek9auXaL07IuulBlHcPSR9nGXUh3B7orNoNpK3KthgWY4yE+6db0rI96RC bmZLXaFECXw7K/EzOoQOTNshkXtbh8DQkfuTz2sWOLwe53MVZULdqdhSl/+P sjcPh7J948YVhYpSEcpSloSsZSvOJAqVyloilLXFXohUki1EESJLCyVL1lTW YewRZsaaZYYwM0IqIf2ue8bv/eN7HM/xHu9fz/F8Oo/zvpzr53O5zSgR4Yps 3cLugzgwjlOW/mNOhoLnDzYevkEHXzPbF6VNNFgvuv/wgcVJ2Jcrz7FnjAgN 90wNpHPqQOyn83kDIorDtyGOr9U0WPX7z3WNKFSffXejbh2nguq95Nl0JRpY 77ubcR3VQ3lWVufrB1RwxxumhcoQYVdvRvVecRywjgsmiRqTYZ2z4JyAeRf8 iJut9Ygqg7hXZrfHOUdA+eeVHR+rupC+udGz7eonEA/1NpIwGfl/tmcxxd+/ 8BX1+wQBd2pDIwxVH3n36R4F6KlnYrDzZKnHRGLniaY/jsbOg2v7yS1J6Iap jzJvbjggvuoe6CKrNAqCl85zsCV0g3DpP+PhmGaIVKU772cfhe/Xuaal99Hh TfcBJYsiGkRK1hfoCyAe6J/8YHDbFHTYJ2kcZaHDKqLQa73CSdCuKmumIv01 oTlXP4b01/vgn42Y/nJJNgrdmUSHx+xGpRZE9O/9NjVPqZP/mRfDlF6xm/9Q f3attcFn0KDllpoaRYEKgXu5Gxu4ukDaZ3NJ6MNSsDM+ampLHIYnIhPCmL1m h401Zi/u6qqB2TfsM+IvF6cDnd+RXTkPPfezq7qyKBW+JK2/sCqGDgE3JbJP dNLgmkWgZcH3SSh9veGWIB3pfW/h2y+TUX3y40dF1KmQ5TT+ZMCECI539r0c L8RBXJIe2143Mti9qqr8cJEIW54PUhO+of07O3k61Y8Mzwe21Ki4DUFU6Oxj nHw/UBdE+7x6JsH9ULDXk+sTcOHnXDGbN9Lzn4N+H0V85b/whG1ij1gTJuFP /lnvUAIVUtlv454doYHh6mOf01HcZafsn0s9p4GC8pv9Nujnva9tVlvnOQDR Dz0MAg8Q4c4BYoCp+zi4LOzVWJIlAq/Y30X1PTgID7GrlTAhw/hXIgPX9jq2 jOFJGj0M3Hi24OCds0QYZp1NW1eLA4NzwUWunmRIGRMeUEI/rwy52q5qFAdj W+5+AfTzUtj0G09Mo5+j4mFJCdIRh8obevNVEX/2U3NjQXnJCeD1TsnA3mNN UtiuiPRCtxkDH0wRYeBC2yIZeO+mOD4FbyKY7fT5elK8Ftb4CV+moH7vyXko useTCDy4OeXDQrXwTJGWdyOYDD4k6ZwlH8S3G11WBSvWgh8p/1d0GBn6Ulbt 4TUggsnc7bPOUTg0r6LmEpzIsPUTcy4J1DDnkh03cy6pZFsO+LkRIC/q2ExR YhU4GMUtvW4bgcjvjkYHNelQJjtqZF1KA9LtijJ1XiosWQek02lIf641Do9H dRLxsntZGdUJj6NJwOwqEhyZKOdq5sLDUiAn/ssEGZoeMOuEx4BZJypDzDqh 9TLP/4rAPP94D/P8Z9h5WCdGaUDn83QBNA9VdLiHLQ4ifsXBxDW2MfHPh5m4 rwPzPOc4medRyGCeJ0jAPVnuARFYy3ey6XrVwlHXYyFcT8iQ2nj1xFAjEXS6 s2c+G9SBpca22841ZHjVKxe4r5kGL+txz8xjaCCnXp5udIwKdXe33cJw8zQH Bu5mrZGB4WouJ4fxNzphaaY1XCugEGhkvc1zV4bB9kyBStciATopy4/1b9XA wTLxJ4mKZHjobvp0604KOEpYiKgfpIBbvTJXsyQdOnZZN/et7YaU3EPbBBMb AZ/J2qaQTgHvJDWJCo8uiMO/Enp38gM0vN9ZZio0AhOkkf39ZDoUvuGhTk2h cwZmUB81TQKr/jeSz0MadHjYplcHYL8nNXqSivj1Dd6uM79uYp+f0/5+EvGx VXZlX9ouU4Hg4adp6EwEjp/7Q2cXcODNmXYj9BYZEqtzWs9fJ0F05w3H1Ay0 f02XJJ8foEBpAEfwYcT/dcy6Dp1D/Ics5BbZgfgPzlPu2Qe0z87OzZbK+iOe 80nkYeUlxBMqv8mZ9tIAyjq4L8ajvmj/nR2qTYWw2ym+15H+couuvcKH9Jeg hTsxAOkvt0VdsyQHEnyZDC7+crkeypIH8qIVKGBbG7WJO5kIUpXHg25k1wJn TLXV/gwyCG39YIrZ+zqlFmL25vo3GfaOehy/xcNJoLEpucP5G+KxhaePh+sj XXmZid+LZeJ9rUy84hrz/G9nmeefq2Ce/9KqjfLY+R+3DzLO/0t9jHH+fyVb /LDz71mkMs7/wO4g4/z9Uhs/tfagPNq+z8683gIF/oen3fePgl1sGJFLkgZL Kpfaj5xDc9ir79rxWCo4/S3f0iKM8kixbFPNQXW+8Ph5/y4qNHNZ0RZqCSD5 dCIqsrIaNh28rM61ngwqZyaEheyJ8Pnl9oPONBy8AUObhJuID5B3v9lj1oV4 t+1jakgZNPzITwW0N/k3sr1NSaVDV2P4T9lupPvfVRVJTkzCAQFcvxvaR/od GTKeaB+JD+9X80H7SKqU8Lujkga7rFU4H0Qi3tTcQ3Y6QYXdx7WK7wWToPkt IcWYVA8bwp3/6utRYGH/yy1e37qhw/2XoMirFkjB3WrhhFH49h/1GRFeIerE T4ODShrVpUgnGQ3kJjsnIJ1sV3eHdBqd72vK9FcnpGuf0O7m3qLCGmVT6Sg7 pIdvyta4X6NBt55ojuKN/95fPee3Pv7wlgRcnnfGcy40QPs3cnG37X/3EUuS x0es7/JlKYMCqO9KjTtxWN/tX+nryZW+nlzpa6WHi8Ya2xH/duiPz8K+F8NV ikfyCRWsDP5Az2sabN2ku1oNzVUu7ql92uZUcHTmSpiQIwE1hctb6g0eepVX jV3mpADfjFOnxXg3XMlSjNV43QL9lycevkFxU1dOfLoDxeeLs1jsMxQffp1J 9wgUn1YXfQZvXFhzkcEbTXIaGLxRP6bWNjefDntOlX0eGKCB7kWJkDvDk0C2 PKlv/oQEUlMfWk7wNsBN6T3P2s9QYH4Fd1/Bw1fwJIttPZ/cSWDiKQXhsfXg omLGfRH7vPcLJys1N9Jh/cTONvYsGoQ/2fG+aw/1/+Dr/gfvxsnrXwhBc/j1 fMN7PxrUdG86UOiAdE6i84wb6ru1efc5PMbrQXXLoYJK1HfHomtC07G/Q/B7 dE4c9Z0HTLY0ob5bdu7ciPU7+UD1bazfYyiajH5PHVLoaXrbDUb7Rgx39jaD +ZWg0DZepFsdWHVmIwgweXXZXO1PFRjY08p+j4yAP//fWY3eDuDbreqw7nIu 4ndc1hrLQ/Djdwu3WQEdTBPjt13+SoMYs8L3uKFJEJqOFTI5jfpCyDSDp4IG NMO9J9U3IN6Vwz3D70qEPg/CP9GNtTC8Xjcj+S4Z7l5ebf1MmQBZSnF40QeV 4LUtqIf8YgQWfij+qUP6arP01U17z9Pgqbrr7U/R2O+DnPplJ5AOWaUoaYb0 +tYF+8sjGlSYWulflmBm/zat9G+Mv2YD1ncn1EYHsb6774ZbZ4D6bu+DB/Ha qD8V86r481DcqP9SnTahuA3u2lO2qRb5DdTc/gvx9tjg1b53DZHeiW9g4Fey PRj4Cb6PPhiubSlCU7mH+nH5uWq2Lw1e7PSzEXKigpDNUpoRmmuzLvgFKx8a XIxX2zjgTIUSm61kzN5xddo+zN5OM+QSZv+iqNkxPpUI6VSzM1WltXBF7ths /gsy/Fyph0sr9VC8Ug+vN05ofOClwwC3QpjiGxrkFXF20iSpoEMRuzS5lQ6U RgkNGuon7ejU7/q7qZB42Kn+6SQBfitYXnU8XAPsQiTDQAnEuxoexGBxoEzy bsPisMl0wAWLw0+egnaX/SSIaQpWqq/CQ9jd6gPLXBRo4tvgXJiJ8iFEfXU7 mAYpoa2hqhZUgLy/f9eHU6Ezx+CpFprTSXusIhW6qXAxKfvKIxk66P1IKPVD +v6ry/qtYkJUeLZSh8f/pw6f5V4QUe3shrLE0IiKCy1w348c064wCscyvn7M iu8F75KglLZDX0DqR4Mg/7Wx/6wTulh4PJ8IDVjorRKz5jTAf+gwvhxHhVJ5 /xucqH7YXVMsDFD94Lnz9GZR/TgpRzDwFrcMBv7ZJIuBXyzJPJL6mQQbFF9V hhMaoOyna/0bXwpUXk7lF/GmwQHzPx8zvNBekuKzHrpGhRjQcaRUjADh02YR cdYReL+0d9V7tJ96LtXoYPmlHllLqET5FQib68bym7gyN878z9wIDJK3b3xE A0tSVGI/4gnfoxrdxBBPUGTpeybdg/iZc92tf3E0aNznfZX7MBU0/mMfzb1Z xTlwGvF4WxKrz2ukL3pzBjZdI8Now9M5w1NEuP+mUW/NCxwUHEpf/HWFDBZr 38z1I/vR1YLlN5B99YBtG2b/rdRwErOfnabtwuxPNdrOYfZNLsppnbM0qMw/ xxv1jAatA+R70SpUMG19uc7iB+qfQ3GaHxAu8MhFyQThdn/XH3uJ5sNjPYdC WTQf3GPcZrai+eB693AK5udFyoWtmB9Bmf33MT9myZrsmB8jB4+DmJ/GUzPK mJ+ElfhcXIkPZSU+j9nv6TUj3og7Ph0ojXjjfaelk48Qb/yvOlyDdOj8SwII c1jLvTeuhsVD2lyHf47AnYbPwpntRFjCiRRdsKuDX67plbL1SL+8U67/3UCD tWOaGdh7VRc0Yvaf0qeCuPQg0V+vC9ayPikcEywDt3/q1geWh4FjyuzdhUcj QBK9KqBWPgziagPsH4To/4fHOv0Pjx2O5Yj4XEYH7f6R3vEhGlR9WzvlMjAJ d037NkR3E2Go+Q1xIKAOordzKXxsQf07Vdz+NWgMJCYmcp/wjMPB+p60UqS3 awNz7aJMSdCxQ0IrXKEepnLmMh+LU4DIM6+8DekrY/eQr7/uoDrhj7k0fx7N E63+aSsHIlxNLx6sncbB3zO8vb7+ZKh9S5dQRLopr96d3xrpprXaG4wDkG5K NJNu6viG+Kj2hYoRpCP45MO9Aw5Q4cA5Jn7jMBP33svEZwoul3AjfXFedUH5 ONIXjjGk/idIX5BD4kexe5v5+7v5sXubKdVzAti9TaVVgAbfLiJkKe4cMmbF QUWuJt3/OBl2GRpIXy0lwukovyuv1tVBn3U2u0cxGbi3ELsMvyBdmzCUcgHV RXvvTq44XSr8SRPP9Efzzc6Wp7kGzbdcfPLsz4tUEDNXDk1cTYdUAf5n7Uj/ kvKvhN+SpwJeu03A9DsREk+zPd3YWgdLA5VPP/Wjvni0FvfuEdqP8oUje7ZW w3CbRpXz+AhohXvs6XSkQ+mxSyKxdTSQTFvSlliN5qEQcc4G5YUjMPx666Zx eKJmVlOE8tLoaENPKiPBgppKl9eDBsDL6l4edaHAk2amXjj9i6kXNp5n6oUb w+zfjOs7wHW1IeeOSznw8Z6O68z0EET88tkpJDwFcYkdC5bo5yh+yT3rlz/5 n/rC8Ms3ierNdJBcOvhJGe2F4cukRm0pKqy2TxLH8O0trR8x/HLzlSYMlxas tpBAe+S7Veq9Nwh3ZVdVyUB7hLXG7ttZATpsfj1FdshG8/LtPo0TElSw4Jod /mREhN9enJVbMnCwirb2WiyaDzFsg1uEB4nwUrcu/u3jOgjKalY3/0IG1ZJ7 Pzch/SiW7Tz59yjCBf7gSdVkcPH2erFagQTbzT41/cnBw68C/iuK2OdO7GDi tSIfGbimFxM/cCDzuj86345EGR4BxBtTr9njXRBv/Lkmi4GX9jPx1i1M3Pnc 6yOKaI9fHY79yRJNg2idOxRPtMf5TtjP+yB92nXEwOsa0qf3x97MKSB9qvxF 73AImj9X9vsvNaL5Y2kpsx7Q/Pmv+IuvMjPbiOqsmV110w+kE6XsfibXIp34 84WXBFYnxnc3CmN1wuuK18HqxHDMZVseN9JTh/zf8GrgYd33Hsu6WTKUtJae 8vveBY0Jrs0qBeWg+iZ36Z/XCBR6brUfLCKB8+h6/L+bqH46FqdjHClQnzC1 5imqKyflpD3eqK749ob4Y3XFVptwBrN/+bIuGLNXs1gmY/aDQnt/2feT4Nyv pVyPNY1gWHzC5mwQBfGGdqnMCBKw6zm2ZNHqAXdd432iAQWur9Sh1Uodflip QzHezvOpSCdL92y47nODBl5BMw486OeNH3apiXWjwamK297Cnkh/+On+nXBD fX1Wf3tAEQ3WJ+eY14YhfjQ9RPU/QwXqKlDD9mkbSzAe26f7LKhG2D4dKlfR nRgggSBPRWjxukaYOvbusfM9Cry+GD+xGfl/6GjU+cODBk/Ya3TE3Kkg85Fp n8/OtGc/yrS3XbH3WbEvXbG/U39ho9k9EnCYZ8qodtaDJuzW99alwNNVSh9+ NBPgmMU98RZSNfx47Zb0YyMZTjxi8nClp0wevn8jk4drZLcdcfFAcRa/ZTT6 uB4GdIWm+9Ee5wxj8vN4HyY/1zrM5Ofp5iriD9Gc2svTc6cR9enW3QLbNFGf 7ppee4SbTIOw7VofDRNRnZSWHErTpMJJ/5oX29FziVruTvpId8vi1CqD0HPr H7SVJngRocJK1f/Qrlqwzsjm8LtPhnlJ/3GWJQJMcVmuGkV7kMc+kqUM7UEj 3CWGfRNbrR9mbxRnw7B3YH/JsI9VnmDYPxZ5w7BvG7209Tyaz3nuilIf0XyW P77zRQGazwZnK1VlkX7hKXn1axXSL1fehcb2I/0SLHDxTTn6eZ19RD/tRT/v q/wnShXo5z0YyozP/JsARnz09jLjk2vAjEP/BmYchmWZcdhqKfrqeWoP8Lko fH4m2QZsyhsv+1eNQvubWPo7LRIk8EdErRvGg0Fxp3/QVgqErdxbPl65twxa ubecmcosFm4eBAXDqvLEE73wNbSpLpoP7VOx5R33kB6JK1XKi9tUCw8cQue+ IT3y1vuQEIb7WAjkY/ji6lIGfq/KTSDjDhEqjU/zxxvVguyap4+fR5PB2SCe EZ8zk9qM+LjIrGfEZ1P1W0Z8su6mMeLDsjaGEZ9w1xyx9ToEGJfXlXH6XQlz LtF8H/NG4MnKPe38yj1t2so9rflpguLCJNJXr77+/Y54aS9pU8UWxEvtmrWK Ygdp0ONgeXlXAuo7z6lseUB8afKyMmbvp+mwjNlvyT9XjtnbtuQVYvaXSmUY 9pZBcm8xex0S54PnzkSgtKSkSCzh4EVuVQj+Fhm8df7GY/d+8niZmSNetSB1 1TMIu/cTEzs0z6JOgMLX7t2P31VCadOvirdZ6Pxp98XpSIcoR6xmfYzm7fyg w9M6Myqw364cPdBHgwiB4uW8eMTTNnw12qlNhTNzChPSesPAuycqon7bICxc E6lQXEuDGQW2jG/2RFBru3J9z3cceM7LFEkiHjK2Ri909wwB4vQJTdJna4DX /z6HgDQZ9fnxRxjOVyQ9g+GiHbqbMJxSZPtymkaAE/Jyq4MMakB5vK9+124y lO1wedb7hQgseHu2SIc62HI3oZ+tgQwm1709N0sQweJt5dViLhyMsdSyx59E 9b/ZZB12vyR8SK0Fu1+SfNaSid0vBds6OOa0EMBxi0nn6d5q2GCqJ3B9Exnw LvO+1K/fwDF9h+k+mIT8nlOs6QfpoPntT7TK6TEgJisaKVd9A3uDhb/RynSw ac/ZcmZiHPIOng4eR3xFMExkbeya/8Yz3r2u/fWRBgVaDoGHHyAey26YJGZE hdgCi+grLTRQyTHLq0T7y7h/ohN3lAo7D3e8WjdPhDUf3OotqHWQH2sX3TdC hmTfRVF5PBGMPrKJz2vWQdmHabUvlWSQ+xdeh/lPtXnH8G/LP5aI+Z/zko5l +Lc6mo/5Px/0qgPzP6oTFDH+tRvuJO7mcgptgdR94zYc6qMgfOYr5RnSTZqc UR5hBOzzZITvYbrpdNeFbxiu3XfkJobfoA8FY3j1jMnfbjSXHw6ufjaE9sVB 5wTJUVcqDMgYvitHdbvBHKoVUN2++pvjvAPVrX+peMrfLhLY+nzZn09tAEfN i0nityigZOH1CMOPbxHdiuFCqx8/wnBNNbodtqdC6nl9sD3lmrP/EranLmu8 q8f2lPEGnRvYnloMHl/A9pSS3vX9SVdpULiNRhBF56pbFinV8qAiXTjvVhtB gGgtzVWJ81XAt4keTBoZARVpnsVILxIIf56eM02uhzUTe4asNCjw/POTUDMX EhhbiHZ/9qkH3U2HS+SVKf9570EMyvuD+fFlEZvG/ASdVxzE/MSrX6S+lEF7 8Fvztc/P8PDvysgjUXYKDHFnHzBOJEJuY8a5P+m1UF1hqmaQRgZLmpRxH+KB L3Nz90eiuRpjE8kfheZqXkhBgwbqw6ev/SRzsPdS/M4eWW9DhbgV/7wr/pdX /M+s+B9f8d+64l/5xwETzL+X/ToVzL+V9GaG/7vfFy+8jUB9pMouetujFj77 Hv73Lp4Mg8JPGfcb+N85p7H7jbWckoz7DV+hFoaedfGoYujZpcGbDD0r88Sl k6uYBpprtZLmEE+wvX+W7yDiCRXWay5huqbhWuthTNcIZo5mYbrmttVljX+X UNyitPgPOtSDU6Zt9TV5VFfsPD0Pr9Dgnv5RiwZ3pC8W8QnFKI8T91/vw3RQ ybMahg76+USboYOuFNx6K/8Y6RfP5aJl9HP1yec/+4nis7v1mPIy9rnfzcF5 OrdpcJbVhUP7AhUK/ZwYzzUJ3sd4rkzaBcZzWTw4boWNk+C7r/y/LPlG+J6R ajscQYFLaywYftgHwxl+CIoXGX5crZK6v6WRYB+Pc8xDlQZQYqkLCDtLgew9 SRMYPnfkfguGOwWUhmH4w5V5q7gybxf/L/N23fem6R14GnD1aVJfIN57ZOJd 6hMDKrTeZnOyscG+3239sLRZPYgl5XjJy1JgKZ+VgUsYczDwrRxM3FM3VE8V 6ZgTb24bnUc8znp3g8wRASoEkOuU+BRRHeCLX89a0aA7TFfEMpIKS4nWtVJ3 6SDwM+/Iuc80MPt3eu3ZX5Pwpvp0u6wB0hEZSTO5aN48NeD/cHUj0omrcJLH e4jQpitzzfV2Hcxpr9t2qJUMEts71zz8hfR26F621lTUr897ucj7qBCYe6zw HuJJFp/lx+tQPBXZSHyx1lS4NuWDOy5LBK/8pXaSJA4ih9d7vjEmw8gHDdfS dUTok93yg7ugBv5OskttOkgGMiFw2wM9Ivhmvl8tfBcHogeFB3Y4kOE3tcBK 4x8NdAdP4/MzEG8kr9ZcpYjyVf7m/al1dDhnaWdw8RUNHGyssjhlqfBvmHme 4EHmeYTpRMZ5UiwErh5H84cyRGg9j+ZPd/2nKBU0f7RW9gLpf/bCL2eK58Hj iF9ZFI9af6LB6gVLizvcVKSrT1bMnabD9D4W5aMVNPgLohYz65Euc8wmBZbS QeW39qDYEKrfNOmHnl8n4cAhyerzVTTYpUNbLEM6WG7RdY/MCSp06h9MnG2l QXp+SpU26uPmd4e28aJ5Li/xnLO4kIZ06FzqHdR3wbNmkUTUd9s2jFpy8ZDA Pbjz++nDeCjwlvd0nSPD7d/b74IcCW77vPvbnYkHh4O65+c4KCBPEXLkQfXJ rfLvowGqz6dzQxukkP6qO6j+4TziSdHmWrNcqO+ipWSNFFF8csakuUPcSDAe FDRnElUP0vaJJmGqFMA7Nnnmo36cdSp+tQfNK+swazr2PXSfqss3YPYJ5ZHf MfsntQnGmL1eCmGBxZUE5pn5NznC6qH+pbPcDRUKxHoJeWB+iFaSDD/5RcJT mJ/dAmqsdwioH+FHJx79e0ZBqm+BDhVOL7xzhHE09wPxv9YiHtU2l9dyHPE6 41/SVQXJ3VB2/1LHnoxm4Ap/NRK4bhR2RYuXYfXwYyGcUQ8HWyUZ9bBqn06d UCsR/Hq67LaY1cEp44fe+bVkINwauIbVYfbc5xmsDnUv4XdjdWixJvlpbzEJ HnGbWjoHNsDZ3QKBh50oEFWpsenS2hHgU/utJNQ7BPGXOqUuIn1uwclzqWmR BqHjD40j0mkwGGV/I0KJClKGwfhT0nRgrzklsvEd4i3cM6mFQmhfN37aW6JC hMTa8vwNhjiwlZX6uHiODPL5ju2Nrwmw+0b042WbashsOjgy/XsEzKK9NfX2 k0DSTWv1sSo8nOqRDaFwUUC6PX7fYSDBQZ/HeixkPCQ3iJPHEQ/fvPVODr8u CQJHjmid+I0H3G2CKqsABcy2WG7bGkaEuit0QT/nWmiLytk5+JgMXe9Sjr36 RACukuKLcRnV4Bu9bKu0hgyGGhA2954Ae0liTz7FVYNzd1xh4moyTMaomNu8 Qbzl117SkYFaiLqmtUnvLdLLqvRTci9oYPhOaw/2993pxwzUm88inqnTE2+J 5p598J22smjse5BeR900wL7fgWlvsGKfsWJ/+n/sJ1fsC3M13qdQUf2tHgiW TKZB+ULlzSZ1KmTG7mdNRP0Wv86F4ov4iZvAeakPWlSQeOZawCdOB7MMifDF XBrcndaqCxBFfLuAdeqkBMoLQen1xTwatDrNk2dEqPBRvjimMpMGiRfHi+4F o/O4mvIpWWD3mRkfPdE5/xqcMLqMzlmTwC76Fp3z2gZmPKtNmPGcC2PGk1LG jCd/BzOe4nHMeAocYcbzyB9mPE8MMuMZH8M8v8bK+akr5+dIZZ4/feX8Qivn f5DHPL9IF/P8a1yY55dYuZezWrmX+7pyL+esXN3Jq0GDuOjk/lkbGpjaqAoY h1GB63/u676s3NeN5cYXuDvRYP+7X35OiJetYk05EeVFBSf/fd7ffGig5qqS NepNg6oNPeFyV6nwW7iSfYMU0imHDzZx8eOAR6pEL+cUGYY3qIRj731tVpEI xd77Gvn4YgJ776s/7MD9NT9J4Dr0jWeLZSO85NsYn/mYApWNW4SlcSR4oVJM KMhpgCqar0mKOwWWb2398uUeCUwrg0JGu+rhlMdFnRZdClz1m3TIRXXIqlpk aPK1Frqm/tH8UR2e0an8LDBHgwE/jb6FZzSgL3dc/Lsf9aPJAyofJx0mlq6+ XHhJgx9vQzTj0XxI2t52HrvnCVcIEVEtKAfcFrk1LN4jMNj+kXH/9iophXH/ VmKvzrh/a9nzxAq/hwS1I69bDRLwsDugObxtDQXUSjZ8HB8kAnFP6MmrT+pg Y8nazNEvZGhdscev2Eut2JvUcjHsdxIiGPajnuwMe1nSfs1NDahPq3Pk7hyp g3ZxrnNi1WR49n70ekQ24sOb2j43oHluNNWVcwvxDQcFJaspHA1Oqa15NRmF +o4/YSDGEPF2y6tlrc00OLf2bSn2fUBXP7osrTtGBTg9xvCTqMP08/010w/r F0WGnzv8TD9WOkw/loa71zr0k2D7pQdj2D3VnHHoZeyeati4YdQ/F+0je5ah ZvsG4PHfqsx7kQL3paTNjr8ggoTk1rGdDbVgttzoz5JFho3b1C9S1IjwU4lG TD+DA4/mL+vvnSfDl0fmix/QPri+fcxJFtVXjqRapogLFZTjNQOSSYhH9ad9 8EO89OoyNFUhXpr5LnT7ZjRv//J4Dp5A8zbtm9var2jetlrvVPAUpsFnLb+s j+Y0UN/RFlIUR/1P//tW/D9Y8X9lxX/1+X8vdHxRn5sKObBdR31zfY/WGlTn /lzy/WxInzy6qQzf0X9/ccgHfkH6iDtB8FI8pQusU0+u8nUoB/PChiSLqyNQ etSJH7uvWPu8bCt2XxEqMfwIu68QT9/CuF9aNjvMuF8KYX/HuF9i675wL0uJ AO6DtuMewZUQfuDYJlWkR25LeBRucKbCUdHFLM3tNFgotJyaH6PCt7/8yZi+ 3qk9OnwX6eux+6bVmL4+pr398eq1RCgUubXjXXoNFKjPW1erofmjI1iX8eIb lHO9Ho8angB86tjA8QN0mCTU2dg9I4K20x6ZmMJaEBKUuN79nAx/xvafeoh0 gUqkstNOxGOlq8K+DiEea3nPZaxAggR1lzMUhcPxcOcXq/zsagq81Bp/hulc PwtqNqZzrbI7wjCdK+/Bw4vp3A6b+IXfSOduFYtRwHQu0dm1fj+NBvrJGw6c RfM89a79+ftonles/F5PY+X3en9Xfq+nWTekRMghQM1VHN9G12rApe542LAw Ak378h5j+i7GR3Z1G9J3g+HVFZi++6/fG46+va2j/JoIAVoBfXt7aqHkTNp1 j2wy3McXNGG6LO6mxG5Ml7kve+pguuwYaSQW2wsJi8eLsb0QafiZF9sLIS2+ 77G9wFIHJ7G98D3XfSe2Fww7W60/obyOWef7dCP+yfVDRtIX8Sv78rUSXggv Okiyq0L4TZNHdxIRHnB0/ZtOBxKMAH1j4pV66C2WXChVQLo1oFFuGfEi+zNp MdPY9wCb7HLwQ7xI54HtFWcFEsyLO+6/kIeHqpFLWb7rKCAa47173J0Inzcp cIzx14IXa4pg/D0yCGkRU8+h+fVs67kGLtTvAiEm330RD1Qsi7Z/xUuHI7Nr adKIJxqH5xX/lKSCWZzKKbtxAogoSu7K1qiB9UvDPN/FyOC08t7yzv95b/nm pIl/LNIpl4dk2HuQTskfp786g3QKtwszv5Yr+b2/kt8u90/SWBwgp+ISFod2 f7ZALA5dPKlC27lJQN2zkW+LGh7i8kTPW82iedjSlao4SoSLdwqnW1/XgUPy T79kAhkE7y6WxFQToZQo0EHdWwdsq0MnYj+RoWxXF8NPd0E9w4/Coi7Dz2i2 Ksf7SSLkpIb6s5XXQfZl3/BbPWR4l/67EPOjkp1Sj/mxue/8DfPzjFA8l4P0 lYvVt/QuxMOna705HREPF6oTY/B5c1cqg8+XbHNn8PmWpzwMPr/NO5rB51+2 GzP4vHnoqMDSOlSH3FERanvxUHiT1CozjfY+a1ZFMdLX5RfNE7HP7xFoF+yf Po3qx/tzOrsQHVzHbk2lvaXByKlA00wxKhw+cuAvxquJSWvvMXg1nV8B49XG XZIPY0TpcDecl7MtB9Wvhb4fzy60x3mn274cH4LLkU/u5Bb1wY2TJYlFmZNA aPBTx/gkS77j3FHEJ+tINvcwPqm5OKGE8Uk/9epDGJ+8av97GOOT+2t6OVad JEJStfmxDck4SBQWCTh3mQzJkW1fvLYT4eHBI/t0aTUQcPHkfOdRMqzjLG7D 9i+4PWDs327yJcb+nSa00RrZ6BCbaXcrAvWNCKuyf5AcFZpuGRG5FohwVZly ymK2Dva8MnyuSyHDB1ZXAc1AInB99HE+fLQWsulz1XORZDR3fJ1F/xBAVDHp K9mrBmoFHtgVypPBrUT55FfUv+/osrlk1L9GpGura5CuTxwbOOToRIKdcUv3 t3rUQ+a6otRORQq46NxVvY3mmKLh5MzVMDzwmAs9/Izm2KYc7hOUAMQrlD9d fHS4Fl5LsV1bjZ5b7eD4ohvN7cLcOdVoVL/CN5/G66K5zV60w1pkEx0cP+3e YJyF9sKY6gvXPdj3VhuUJxvRoaZwt1Ag9vf+WloSyxuoYNrHuas7H/ETN3+1 yFC0j5QjKMImSNdEu/cnIh2+c3E5SOwB4mVCSeonsM/p8ksd3Iv09v6ECenX d2kgFmjfz3Ee1VtVWms72n+J7ts1w4MQn4lQudV7jgrn75KP25qQoPKRygFP 2Xro/za4oVqMArNdElx7LEiQnTYVkaBeDxuPiyk5S1Kgm76+w86cBLLJtH3f VOohaXXE0IAE0n1V7tx5NkSgPDGNXTWAA7Xray1u+pBhs7CnjK8cEborDAoc 5HDgLmsZqGhKhqC/6eu+02nQwHLElob6fbX60tsqNSqMO59+e3cZ+967p/c8 kX6XXjILNUb6neVdofQfVAe5c26fn6D5OS3aYuGG5meRvNYYoLr/ZnhpgS0E 9Ye/ZPdexE+6Um6eJiPesmr4i+AYmmOaX3jOmCM8R3q3rj7COxp7PxYg3Cb2 rmkywt1tlIY9qmkg36n5kQ/xGYdjw9G5x6kwaLnXp78D8ZlInlvHKA3A36bv 89KfAusFEvNCs0iw7pBvwLbTDfD2cNHvUWsKnDH5kc3hTIJW/nO9ul71sO/X Px5dJQqsEjsb+jyKCPtNqje1+9eC57F74fUJZNjaZ+8fdZMIb6sX73pp1IJL gutR6wgyHKk8HnXWkghbW8QEvJtwELz1a+ZHLzIk2o2HYH7sNdU3Yn601u1n +IEhU6spFH81gkTZAIp/ypw9MRPF/2hSaqeCOuq7P5CZbYyDd6cKassQj8Lf ubIZ9xXpAeM/ewee0KDzQ3P+A6BCSRs/aeMo6oeut8u/UN2287DIfjiIdHGy de+772gvFGaX3E1B80zuSskvVcS7pGIZfvYOr5HD/HT0f2D48T/GLt6L8ht4 ctFpFOU3XZBrXRPKb/AmlcH5BdQPqYLeuqgeC6lZJhOIj20iLG72xU/AY5Nd QlnRVHgScCLqFsq/yttExdFvk7B3U0i/zDQV+kv0zxFEaVBxQCy98QYViLaN XbvR/9/bkvTaeogKP8gVtfemxkCgSc949tM4nFK3YpdUpQOs3Nv0/M+9zf9/ n9P9P3id1+MP26RIEFbMdsw9Fg//enpG0tgosM6ro+P6JhJwjhR66R3CA6jS X62ZI8OpI0sa3v9Q/esUrBZbg4flvIIxnnEyVBw1UDUeoIHSX6e7dig+odtt AxQPUSGdx1F17w9Ut2szfmajuXeoeNrWUYUKMrsP4v7GEkHXz6N6NqIWrrrv zyA+RflNbkpvPUWEuU9Zag0vceBi8FP4zFUyqHD3r1vYQwRqWUQBThgHb2ZE fDnOkOG96qX0+UME2PQkPXh5vBIccG809XJHQO6uWUXyWaSzTvw66lKLA397 b84gTzL4nCn9ft+ZCKHGj0VqFnEwbCt+peAW2o+zHPX9e4mwvO9Ij54sDlo3 W8ThTMjgKJGfwYr09dHoTrEfT2kQtft00Ebs/StjvpMly1j92H66h/K3/06T w0HUv9S3hwYWSrphw8tdMVF/m6FJzc53fscoCH099LrxSjd80dtxI2qxCeKu 8fR2jlNgyvgN+c+2bvhQ4fQqrasRsnN0n6jlUEDldAlbGarD1WttBINRHR67 9/z2D1SHrPJaF1V+oXleICiah+af/fTY/vVoj8Rp22e++od0u3ntSBc6z9uT pWXtClR4Nyq4eqCNCJlS4wNpF+rgyfD7wmd4Mvzw+ndy9QwRLFJCpCgddbB7 Nv7w5AAZ4njXBnuPE+EJOeSjVHEdbO/6PPeNhHigaO9tjUYasJnfG8l9SIPj fSynlfSRfrTfv0u/ggZ8syOFHGjv15r2GAucpALf08LK7WjOGK6Ze/sH4Q9b 3icQ0Jxxyn774ZEuCfEDY8k/83i43CFfeBb7fmFXyaMtZiTIMPcu7NtXD7Gp LFu80LwNYc2eWzxDAutSl8cJu+thVXXKt7pdFNi5ifdyRAAJWJd5hBI/1oNG cOrZvEMUWBAJZcwHk9guxnyw1Q1jzAe78Jhf1k5EOFXvRP70GwcPHZucRgLI sNPhlxjWv9tzfjL6d132Vkb/LjnbnbVHedd/EV22BeGv7as/kRFPkyFwyQ6t J4Hjmi2ZpxXw0Nilxd+CeAv/sec/5IaI0GtiH2ibUAcL8ntWbetAc+yOCvv8 FBFs3izONjfXQcagtNLNfqR/afzeIsHdcGjxu4ncqWYY5W5VnfpDAe9R2eg5 n27g3LnW4atEM5RrfeewnUFz2C5oZwniCdyhjyj30H44qWRx7gHiCSENNoev /0XzXch8tSDK+9kYkYZmVIcGaRKOKcM0oMl8KGtPoEGZV+1tXS0qlN3NOfKj De2L6M8lNMTHYPSki7weFRalFcnNn4hwPmfH7zNCdcDz96+SWhkZom5xcBT1 EOESx77s7jt1oDbLIxDWSgZjMiFgpp8IqbnHeYUi60AgRoirve2/+fB0jFVp 6QUS0muSR4aM6+HcYa6x9zIUsJu+b7c8i3Ro7GvzZDQf0nbMnvdH84H0GXfH 8jQRpqrH44ozcXBUgY1QjOaAazjfNew9T2ePxCzsPc/HzhH3sfc8H5/1NtVQ IcHi1ypCAg4PiZ72Wx9yUyDgdNxkxBIB0lLjHBpu10BfH6FAUImM5n/7+PKT QTAxvvCkeK4H7ruHhqTPTkBNmHXAGvIE8AfG6O1NpIL+LpdLRUgH1/4PfmwF v2Cv7aTKQoeHnFpSa54jvZylNxSN+i6YJm68zE2HZ4Kfs2bReQdaR3fOIP7z oEHk6Ik8GoTzsD/gRDyHzzCxsQ3xnLVCEr6PrIlQrmmimEPAQbrbLWGWG2RY jhMTHx8mQMif5W/i4jXwosUh31aEDDfXS10850SDsPHFIhs3tD/usFUmeFFB 8tpT/I1KGhR4KaddRX1XPh5QEYN4eHSSJUOPCOzSYeiRuaezDD0Ssjyom+GL 5rzAh+x/OfWgW8fz6bsmBSJWcL4V/NgKvnuslkMuhgaKpoFcywE0GGyZcjlp R4Ug9lP8RHMiRA6dPqxZgQMrTpM7Oh5keHCm9cE5RSJ4loiNu6jhIKfS9ZOq ORnmnxa9JfgQQW5Dr81fhVr4nnwn0iuMDKKTemH6nqjft7SV0J/Uw12xo72+ 6hSwWnnukZXn1q88t8phsbV3mgb8j+XLR9GcPHGyKMcdzUkNuaMHolFfOH5S NtuF+qJDeEdCFeoLWwpr+GVUJxGK+BmdWjwEeV98XYDq5AuFN8Ua5clOm3Lh EqqrPp0fwVaori42GQWsMqbDK2LGlzQ059IzDsz6rKdCVLxEDnZ+I7qdHXZ+ DrYvjPPj7NXIPxGvGGVPL9ZJokHNR9sdxohXHPylz8DPkl8xcIuBswz8w/Db lKt0InB8vmHvhq+D7yWl/+z7yMCl056G4VP3bd0wPNeMtsoB4dqQvcFemATt PjwDpW540Ki+ztH+lwx3m94wcNLIRgYu58rEtVOY9SbIyqw3f2tmvdXL6DPq xGAtP6NOBmsyGHXSOzTkEc5Kgm22oqWmW/Dg7EoKmJ4kQ/lYR9ojNEfmOTfe 80b6VKKvn28Z6dP4tEGGvQ37Doa9cRSRYe+Y/GBE+j0Nivfcd1hGOk6wxmUV 6RQVaoQjGbicKRMvDGHiXJWdRou1RHg5vOd9o3odhNx5PTJfQQYT/k3yHS00 sGYjxw6j/DdZjB6PR/oxZ6aXdQ3Kb9ByndYc4lda/3qCllF+6zP/FBkqE8Eq i7VKBnAgHJEpHmdBhmmD3QLUJVQ/c3pJVEwfSCqKrkN8bCuHcarGRRL8U9i8 l8+mHvoy6rIU5CjgPnTE5VwEDdafUHq+wR/lU9Dp9eQltGe/FvCfR3tZvrdI yAHV273KlzuF0L5ICL92yuo8Eapzy+yXWnEwUuKp6uFNhociUeePRZDgjttt 8QvUeqRnNPnNDShA4GPi4meYuEIYE+eqYD73kTbzuSekmc/V7ixiPFfiTjHj uWqDLxjPfZV+fsdvQjfsjm3MOOncAodq+MwrlUZBITRfRk6YBnO/g1+8MEf8 QVHbszOOCldW4umwEs/KlXganVT7zf6KBreEz+yYRbojtNiX/Teqf5Pb7wNw jjT4VMx/UQ7NGZzVvEU/mjN3QmV/Yfa/Oua3Y/YN2TMM+9u6FnW+GiR4txxx zroDD7Mtd80f8FDgW8+GZCzOk555O7E4D0X6vMLi3CHX1IbZC7t8vYXZl3D1 WmP25lf93XVQfP69FVt3EsWHEnDuuTGKT7jRDOd5FJ+drO17uVB8tl6T/z6B 4nOW55sRFn+RxyMXsfhH3N7KiH8R736HrNYRuF00FDwgOAIbPY7u5Rahgyzl +Xk3ByKs5345xTaDA+oqu5b7/qh//xS/zUPzxNRY1ZKE4uzEK88SjObJ9vf9 /dxeJOB+/WH8aVI9HJffE8amQQF986/6ax4hfjDKt+/pLRrwbO4yvGmLzvNM 5qV5NdLjmje2fCuoBptp85JbHGQwrVfbEr6LDvLNfXo3cmlwxnDKS34nFbQ6 ZSTu4IigL7Cc9WpfHVQqCG//Xk6G9YspHEatNIh8pbJ/PdrXerMS1tYoX1Mq vx+z93VD8Z3xjVS/Fhh+cTvopMooxAtdDAz/SYKc9Ey/4fON8H5L+Lo1cUi/ m8rdw/AbGsYRGE59NM6F4cZhPJJ3d9CA8P35OC+qE6u7YvsexVOh2OnmVzW0 Xw43RoWYorzjJyVxmSjvSwJdBUnuNHC5Vet73RPxYu68Ck83KthIuWQPk0kQ yil900ekEfzFblU/DaXAz3tiZwSv0eCVR3mUoQeaq9paZ9Z4oH43srnJbdoF nF2reDRul8HZ2MREH44RCBIrGTxPRHxF1ERiE9qvN6vUFox0qPAoMd1nRIMI D2JDMqLPonx5tYZNWpHB4vZXBt5xzvI5husdnmfgf7gjipyR/vqixFvKi/q9 8Yyozx5lKmSVfL72dKEXZFxD/zyZ+gLkLt8is6IxYBe877E1C+mOq5tvHCPU wsRi/UjWGzJocOz3wnCePzR/DC/o/kXG8B03iYxzVk1YM86poSPNOGdxE43x 3ANN+xnP/R02dwN77ptlnMLDGAK8fTGSW7WhGvYZnD49OTYCvCfW1cYi/mmc W/O0FfFM9YIR1knU1x4Rt+swXOkmJGP4Rs4DDPyhSlgw3pYIfkEPHVqHcDCX frgafBHvcnK1aUfP5fXZOKeKnqt99rfPIppv/Cv32x//5347oJukXtKMdGtU xvBd7PcgmZeCeI9Robxv0cW8gQhD+6SLfHTrIFXzjo1pNRmiOQ8dxOyPrnMb wezxiafuYvaLXe1pi0J0cCvQOj77Fs0HTtG1GmJUgK+sLeJtBCASZXxGR6ph +Itcj+JmMoTY72jRRXVlxnuAdBbV1aFfbvPpqK5Gst0jm+QJ0NWnpnXXvRLS VKrVlTNGYFd5smAd6tc/Ro96w3NokNQGW67uosJmzZAmzI/Jn0Ii5ofmI/kH 8/OxV8U/Wx3tEasIRTNTHDheO/9nI6qHV1PejD69sHVOGetTn+7Vx7E+va5l ot9cTwS2s/MOMTp1oFUnQpmtIgOrWHj49Ee0pw61Xj70gAa3fb0vSRohvV70 xsDsGtLZVPKminoatBs8sdP4NwnqKvwBFBSfXfvWG8Wi+KyLTGtkQfGZn3Z0 xfxPxNpSMf+TkSPLmH9lCYpw0QYSrG1hKVBSxmPfd81lO0OGfXNPfcWLEb9Z bNi9FIb6sRQ3rXiGCnebRR4mvUa83bhcUOw+Dd5LnDOwMqdCK899N+y585y9 Bthzk/QOt2HPHeSRuCU0TwSBt+eOJ1FRHj2OtI6PkKFzjE0O46Xra68kY7x0 KSFECeOlhPdhGl3aJEgyuXp/moqH6msW50r5KPDPjtPyAeLPI38y6I2IP+u7 fF21HfHnMIvNSbLfhiCfjZ7o3joAx7X6XbJvU6FQhO/o4x10eBLXeN0P1YMl 7gBrH6qHyi1uWvadBPj6gvV27kw1rB3590WOlwzdf2+STyBemhTC7j9pWg9l JxbddmHv+bSEPueg0UCk5/peA1T/d1mvxSUh/aXSysSVVnCnFfxil2V7eCKa G3P8s/WIn5RvyT8bjfhJwo5VRodRvmOFnrXk3qDBuAa7Y4MLFdioDwgzBSQo s33raujdAGR860ZVBwqULbvOqgvTofXoua3sqN7SPkwKCqPzv7C8Qn4+TQS+ 8z3tT7/UQUth5Fgm0ssbHxfmN+cTYZS1PfjJj1qozelZ25hPBpmDRQw84HgH A58U62Xgpy+u0fLvpAFH/LtAwcc0iH7Vt5R4BPGiB+wM/MnJAgb+LLeXgWce dGy+/JcAl4tS6B1BNdBPHln3HsWf42mTcxHKY3w1J2svyuNs7EutzdLU/8QP 2u+0wvpa9v7fIKyvuytrzbC+7l/pl23WzH65tdIvXPuzm7B48qgoT2PxvPfi 4Hksno7/M2cOr8yZ/+pTQYLQ9o+NqK+jSQ2b26thZsh6/iI3Ov8K/mQFH13B A3y0l9xbifDltpWmmnkduOp5vqTWornx4OjXtU00oEgscfx4iP5bTqohojqv bb3BqJ+A3/M3sfrRPj/PqB/+CAW7clRv04ejWIZnq2HQb13tFVRv8usfyt9A 9WmUeBDnhuozJqt0/TjKL19u4T7svUpL5WzGe5UWsjcY71X+GZTtCchC+/H8 iFQt0gWxHc9J/ajvfpxmY+U5QIIvKQX6V7rw8NGhIOMX4i39hKa9sahfkhZy 9n5F/ZLpGC8ggvJVM9yrvYTyslH4xPwMyov6Z7aNs6jvlA5oX77nToIhH3M2 fEw95ONf2R9QowD7Zy21umUaiPZmFIch/XL0+uH3+xG/dffZs3tplAy6siLj uqj+qvZekPGQoMNS1C1+oRwKHAk6ma0qNAp7nez1l/bQoVJpX/iuScRXcxK2 ZD1FehHPYemlQYWTEeU171G+ml6SPt1H+RL1+ZrkgfIldDrj5VVDEqwv1hc4 w1UPb+83el4XosDA+sPXGZ/b866HB/vcnrWbTR9in9tTs5/pXyGX6V+hjulf Kjmu+yo3EUoHcn//rqgB1oU4obdaZLjCIW90t48AZu0XnUe5asC4NixpRJAM BzTesKVIEcHdumthjSAOphe+ym45TQbfK2t+uSN9nbV2Kpcf6etd3YMvvJG+ tiXe6DyM8J0nuH9zIHzvZE5NOMJ97Zi8cV8IkzdqX2fyxteuTN7YzcXkjfkX mLzxFCeFka+jKWvksHx9Fspi5MuTlMu4N1CxnWLcGyw3f2PcG5SmzDDy2F9g wsgj+dkCN5ZH+7IDDL2/sZjA0Ps/4vsYej9u5e81VFb+XuP7yt9rpPEemRlP 6IKbYWnq4hYfQT5yrFxKbQR2B4bZcKK8PBv3P3Qc5eWGkfreapSXznpfJVFX OsQU29uvakD8qyxwanB5Ep4lL9fPn6VD8snGwB9VNGCb8OM4x0GFHR4PL/wL JsJ7V7w1zroWbgnOtRXFkiGxlImfs61n4CaGTHx41VOFeB0i6AxRXDtuoDkg 16zMcYkMi6ySjHskmRPMe6RNx5j3SPF4Oc3w3zT4S5zyEk1DfODKjp8e+6iw alS2QGYPEQbud+76tR0HDUu2njdQHo8omwi8ekkA7s7n1xPPVMN+CkGQ4+cI tC1bTuprdoOQN6ebrVkT3Mik9LrXU+Bm49HxuFM0GBmivfNEe/6A8fV4rcD/ /jyB6glj3jIOAuwx6+pssq0ALrFYvor7I/95DxC5dcfLXBmkA0btmoPeIf7z QmGETwjt2T+r/eaRDk03lemvRDp0x+5Iyi+kQ6lZcfv+KhGhySwVJ6iFg+4T hfNWSFd+IOz8ZGFBBJJqfyRrFQ4+ty2fTvUgQ8+v9y2OfHTQE8x1ufyGBp29 HzalSlKBfatkIv8YAWaHpUxLlGqAQ8j4ivEuMnzD66tkI57f4uE0uwfx/Mos 5837Ec8/M0n57lxDhH+m6WV9CnVwy1JsSBrpAmmzWTXMPsXe8AdmP1KrxoPZ a787u4MLxXMkeOBvpGkTEMymhY+ieC56VjffVO+GdbL9fyT0m+DU7c8H6mop 0L36Rz/G8x9NrWfwfLYSIoPnu6zc2/wrZt7bxK3c22iPBR4a60H1P6n8KJmK 5tjYu+Pr2ibBYUZjfOduOpTz5tj9y0Pncr2QJypChe7F13sFED73747vEsKd +7wSxBEePfRIvwrNk98jLHbR+vUgVcMi/RzNk5J+0aD2BgKopUcuj7RUQ5H7 Jf5KLjJIrPRFyv/0RWRj5K3nQXRo5zR+2P2ZBgmVU+fyfk7Cd1c5bl40lxrO uj1+juaSTXiYvR+aSw5B/gvf0XMDLyyr70dzTMo4MrcWPdfBm2n/1JJpTw9h 2uOkebY3IR67SP5zRny0GtQJXuyvEI9NuXa0UuEKEU5mtm9bs6YWzmsrPI25 TYZ8B/snZxHuTAkXfYTwao8+o1yEvznEtL/HzrTftJNpn+iwSYsuToR2vljO fVw46B9RHb55kgwuh5h+Tl1g+ukzZ/rp9vV85veODlV43cmdX2nwMj2TXXJ4 Egqcd7CeYCHC5gsvY4mRNaDVUCBdsQ/pWa7Tbn+rOuFe+J1QV79iyJ7BhTml DcP6jTKKL7Z0gdwz8q8jZaVgT6/eGdg7DKPXd9Iu2XZB3bBULQexDIwrH9mJ 84yATJZZ7WZcJ/g8rWmkhRaD5OyY1WD6MDgfZTO59bwTZALOShvkFEGESE9Y TsQwbPWSVdgR0gn2fW8rRr4VguvH3C8fbgz/53n+y//fxRMc5RQ6nBH8Tlb/ ToPEByeV5Zsm4fz9/MOVXFNgGraubmwJ8ZST31naSyeh4/BZn/xmOpScqPYZ HKNBbWHDGifCJCw7FXM65tPB67EEG36ABp+fXQ1IR3E7b7Ij5WM84sOqG1NV CDToz7p8cyd9Eh6ZiduzID/x9AvVL5AfXLbrtxLkR8ywnauaiw6Ujsy+UDTn lXctHglE/KpM0fmeTG0XWE8vs7AGf4L2v3k8D81G4On736NC3p2wdo2ZdYVL Ifw7bufDe3kYogVP52mrkeDFhHffqyY87BbF8f7dSAGNE6duDSFe9KPesOUx 4kVGn7bDLcSLQq/l+Tijn3NcStymCvs+4c5WpSOIdx3+LHMDw5+MZlzA8O6b N5UxnKXtx7mufURYXNaSuXMEByFyFQKvz5Lh5s/2Xcd46cDJxROwHs0lhfGD 0yK7qfA4iskHhl8x+UDWdSYf2Bga0xcqh/RW3KZjH9hp8K1Nniy/igZjfKeJ z55Toef75s91cjQ413Qi9mMLFcImrJV9xOnwdOcc1w7U7+cWa/nOiKK5xxko 3JPdB/m8RdG1uzphi1XZ528K3+BPoKTH7Y0DQH8lrLc7kgBpjzs7+qXHYevB bV5K+r0gYDS/Q/RDOxin/pTNVB2Did13dCiJXWCbOCE+b/0ReHQDLvSgvfnj 5Lig5ykiWPFPuUS+wAFuu1Pg5qtIxw08Zszt0phkxtwOryhgzO3Jgr8vHbC/ a//zYLoKnVNP7fUjLzSXVBr7GPeKF/XwjHvFvGfMe8XYhWxBwx80ePFElF78 DPGQor3LZ7HPDaBqMt4zVwjfvYy9Zy4pYMV4z3xdDftz+80k6FZQl/ynhwfu tJvOtj/JsO3eNN5EigRHWFkf6T7CQ5F2WlMzGwWMhhYcsPfSSaE/GO+lu7yY ZryX3um1Q1+nEOXjIec7S6QHB6SNgjiNqSA2Y3RzDeKvryTPBM4gezPxWdZj Zmj+43dbYHnfxha8E8s7xyx+G5Z3vSs03ZfFBFhv73FEI7waflrfOKjHQgah 9vdnj53ohg72lux/kU1QnhhyI6+DAtYeJbXHSGQw6qcoZtYhPWCqarMD8cwj 7Albt6qPgqmd5zbB5VEouesqgv1+54zVQ9WnkmS4vVuUUv96BMxfcxzj3UmH iZU4D63E+ehKnD265mdz8EQ4TFLc/Q7qgL3P5pw00sUbbpxMcrxHhyTp6Z8C bTTYd6wg0BzN8wCRJLxOLhFyX2y/2jRZC88eurxZlUcG3qIEUex7YYmskg/2 Yd+DnDSjn2NDhQqFi6zPrpHgQmq+SX5IPSTw2acpqlAgI9RX0vgkEer+yBH3 pODAXtFM+fFlMjxcTnwWaYnipoaXkG7GQeZhMRjyQntn3SnDlq9or6nV4LTo SF+O2wV0t0zC+pVzJv7POW2j60Juo7khF7DXvw3NjXOK5MAANDc+UYQet6O9 Kc/x2yIO7c3UKKvVW9HeTFmZDzwr84HlBHM+hGddmx2b7wCpzwMqpHX58P2+ F6FhyzAU0pwdRK7TweDBZIkZ0kMt/675li9O/uecfHuRoE53QfxweJGahKcB 1TTqXjULFdRsZrbzjnXBbivH+q9u5WApeSDO/toIqG0Z9Ov6jHTukb8LHOfr IFDneyMF5f/BhmlCTCMNImxWr25B+uvKgw2K6/Wp/4mbvdYx+v9Y+/JoKr/w 30hRkiizQpRMJRIyPKSkyJihjEmUikITDcZUGmSMQqYKoYyhzPNUGc5BMp0j cs4h81Dq7vc95/7uWt+1Wuvete5frfW0fd5n77OfZ38+e+/3eQ0RD7xgOOrr JlwFnvfX1T1GPFA4YPnHLmS/2UtoYUH2nuLDrt7InnpP/pI24vNDnT98MT4/ anb6ZAji85+epOJxd8trCx53u8Pl8bjLfmzV3o366XCTnz00jgriE+tbycoU WGLwHLb/8JzKG1kfF6sIsPPp6Ooje2tA4HhKrw7idUHp0U6uuwhAlbS7n7m7 CoQbhdm+mpOAVBYw/RzpkRuv5cswPeJq+EUU0yPX/IxNsfZ6oa1HsPbLqgd+ 9aD26+Q11ysivWbyvnjeCvHMNR9vKl5FeUN1wvonpl+mX6/NxPRL+96zrzD9 UvttmA1rTzw3NYu1ry4dUsLaxzH4/LP/8HlRRTvSWxTHNtxErt5fQ9DMff0s bKXB2ZqtOP+0uN6P88/91/7i/DPJoRDfx2Zqou9jJ3ntxPexh5KmisN/dILy w5NKXzQrgWnB4n2NBAlCuHTvt6wlQPUL2TbrnEqYggPvRNRJYKn2LlQbrReS ASIGa1B+cp1uH9yK1os7e16dP7wWPf+h51eHl2gdLFSjrZOlgMD6rfh+kVPl Ar5fFFs+ge8XbUwSwvednll54ftOC2dv4vtOaoItgZn+nfD8wQvV5a5yoPKp inv1DoHSS+Y38yVEaDlGasmIqIedevEXH50nw5ZVcq3xLL2gVufmtOVjOzwm er/Wdx+B+WCHXN8zX2FCSUnsTWYbKGbc4QxnGoGYrhLhfVwUKJbtNp5ZpsB6 srmwyXqULy9nPijxHIPhXp3t7g0UoGieaew/huLDq82q5QMFsppNQmSUqbBx 5Op9zwrUr4RXqvkLA9AgOPTMdW0f7Ai5+t44hgKK03PBi3sH4Kl4Zlghev6j DNbFv3fHIPn38MpEliHIbH4/tY44ACPSW3b84KKB3cA2FqMH3+FXpOud7SKj wENu7R/dQ4O2hs/cO2uG4ZemWtWe/u/wOq2+wk6eBpnbJg/F8o/AYHaOTeiK H7Dmb16ikAriK8Gt9leFfwD3FpuGOZT3i1PWaLwep4JziVPu43OjECLW/3BB iAL8rlYbf2j8u33Jl6lmx+c/oDwJdib4UeD138Jzx/OpEFZz89OW4RHEt8M/ SB9GfJqFRbFGnQain85d7TYhwloDbdeX4nVw6tvP0kUxMpwUrJGR7u+AnOQG 9kqtj+AQNDV19+wQzLS2Jji5dgBPFaU9flMxtLdf8LzKNwSGC+djHx/pBIeD Yce6eMphlahQwsr8IdjNZWyoxU+F2alX19PNqeB9s87T5ykF3g4nRWH3tBT0 3w9RfNH8ST3AZW9HgfwqxdP8ejRomvY+vVyMeInMEthsoED02SqO7LM00H9A +iKP8t5YJjOnMRMFOt+NuG7qHoHTP6zl25TGIC126/gt1K++Becc6kgXGJXG PKp81QzrG86E2cEwaFcvWfNdGYJQidZwmUeDsH6NnDjnZtq/n9vE7d2M1sm6 AxzBD9F6V52jlVqE1juNvxS2KKNOGP2l2WUiWQ7+T1Q+hrwfgsWEVZrXCjth 2Udra1hoBTyeNLrwiIkEpYVsjX1ovu5T8rHuM6CCIOujVUdTKOA16mhY5NkJ gquZa36nlMM+h92Jk1+GwE72D9eRQQKcuzfPuu95DTRczf/1rY0EGsX7i3nL OqGeVbtvQ0YFREYlwI/VJKBJnLuvJ06DbrvyxoIsbD+hR7QH8bQno/kaFwU6 4UTU29XrCKUgsO/CnZthQzDiYcByyYsITPdPqk8+qwOWmN+Bh/eRgXPn7zoO ZF+48H3b09g62BvzpHYl9v0pk0JeZcQTqPa8lqaIJ2x5XErBeILEUfZIyY2d cLK8fdwyvRT+9p+Y5H40BAbZR2kFrn0QGfTna+8oESq/ZsmStvwAq+Orj3N2 DgDsvfHB89E3iBITU1ByofxTXzi8OLFdCNnf1FCCviJ7akwvL2Y/f5A7GVvH rwuvHsTW8cL13BbYOr7L/+9sE7Lf/234CrOHeDxLxuxv/eg83O6WAc7D5Qbp PLyYwfOdGTz/C4Pnb2P06wyjXysG6P06QqnQ26dMg/OJg+dsUVwdDgmoHOOj gLdfSR+7DQ2ceV1iUyqooGbPK3SelQIfPXKCuJeo0JBkmbLwggrHWKfvGCtS QN04wgG7J7NHfyV+T2bo1hdb7J7MuuNcD8fUCECM05zbZlsF3e2jW1PsSNDi /c0Huz/T8tLJD7s/01jQ9xm7P/Mv/uDzD3/+pY8mUhLr70bSYAun+tHPHVS4 8oJrMh3Z/6Uf303/Mlx9ugMi7/iH6U0UQfSI1pN3G4eg5FIIZ1U4DXg9df+q IJww+QdKV8bHIFbfCsd3iBHH8d/dUMDx/5VPvOs24/hc5tcfYPinKlNCMfzr g6pDO+8SoUdgoid6AOn9y5vdpPTI0Chw28HhAcYn0v6cukGFr2VRRy87UaCP 7IzriC5O2bOYjngqyYHriNkjYj4DJwgQYpi14XN9FXRsFg91Rvyw6paw6GYH Alj+2ie4+msViF9UqN90jQScQi/w9pL6LtxY+58aN/D2xsUaB7aMdsIFhWHf UtVKKI+c1CwTJ4HAGhMVEZSPa7xUPH4/p4JEsB9fhgoFqhj3WwQY91sMGPdb tDw/pj6qaAfld1keJ2/lA7tocnQr0tEbX582nzpCBP5yZr1U9jqYjDVoENlM hkS2fHI0mk/ft2uRxQJQ/jTdlulsTQGmtOgFY/Z2SK8P6x+9/xa4BdS/F4kO woPCfPx+uEXXRfx++KfmaPx++DJ5eOaBC8I3Lz6z2b0OPHd9U9yH7HbuVjPp rOOwRvV6fT+av56Ke/bdKx6D+Pzv9tujqXDv6euCX4ifRy38ep9oj/RLSJtq F8rLVWmJ9qTHVDC1tH2vc4QCBayqpzsuE2H06691NS/qQGs4SE9HjQxf9Css MXuK7/a+amT/0LgeMDvrk1pn7/tEqN32nho2WgcRN5itag+T4caGhYfqUkT4 zK8Qdi6qFhzkRrPdVpH/Z3x4/zM+/7tffP/p12WO8OsyJth3f2psD4vVwZeq K1duo/Uu6qgObo+YzrbB7McKNXH7a22Ye5+Bfq8y0hIR6bKREx36rmi9vS5d h49/p4IuPv4XFDfj418sI4Xfzy89K4Xfzz8W6onfzzdZMYGPm7NNBj5u8doL +LjdCrxLu4fiv96f6baHP4qXgFlDUxsKEBvu4HbZiRW4feDwHG7/pLEu1D0M zaeozbpnb1FhRcVD+9KTiE8KD5+ND8HeO5UzFkfz38igVaEZzX9hXr5wrP0t I7FDWPuVnfJ2WPt/6Zp/zUPNWxe3G8wSodhHIIPNpgHWRrGodkeQ4co6wQnW ESpUMpXxJ8SifvE/t+hSo8Dcae8bPEQCRGgs93+4VgO79SY63jWRQIgrdxDb /1xbe+Autv9p5SlFwPY/2/JUn0ZfJgCheLa1YFs1sNf8lJILJsFa89MfldcR YEJf2PpQYSV4Rq3T2qJBgrqW2Ee63URYrXewIWqpHlpFukIk/cjQnGa5z5yt EzaeNbHcZF8KKstJo1fvDEHAaMIz3RNE2PA3o2Faqw7CowtahyXJ4MywZ/6h 228z7BeS75jcfUYFbiOenkt+VOgbK+XLsKWAM+Ne3A7GvTg9xr04M1jaq+GN +L/n+wTLK1Tw4fN3jzxPgedPZD383dH41pu9rPJA8aGt//vUJQpsEZnbMHAe 5UFtnqqhS1RQ4XARCvOggNRqheaTnihvLChqrPeiIt3m2PvKnQKDssfaRjKQ rr/S/4Wd2ASu+fOLu7B6qvF11A2ySCf7La7XtUF4lLPU2McU2O/zyNdShgru h6JU2ZC9/vnWPzRkZ2bkhwJGftjIyA8zGScGKz4QYPLSeWn5zTWgcdFPencR Cfa+enToHtLDu6yS7BrQPCr/Sxm206UATyS9vetWentpB3r7Z4xx28oYtwbG uOlX5bnphmP3i+xob9E8NC+LF7ZD8zDkb8wgGftOjbPf6VBk/+z24PM9ZE+Y +Ynzk/rYOE2Mn/zaezEI4ydFgZxDWHvZ6Nd4+6x6S7x9wdyhG4tIX4lyUmD8 IRXsLxtNkQ0ooPcqrKHzMxXYRx5pqaDnezebTzQcpAB31Fhh23sCcIcsN/tx 1sDFPVdMLxSQYJXH7oBplCePvWk6+NuzDjhq2BX3KpBBuikCxymLe4zjsBKP 4TjjX/Jj5u5TocJS4ATFB8WB0LgD32kKWgfV1C8j/0of7Kovu4rGIdEm6p0r yg9MOofmUfyHk2wDta5R4fnPn8ksyK4+GWzdE90FXkphLsZPmkCjq1KEn3UY to0P/sXqaySf3ajRgf6ObLSjgoDyBhfDfw6G/+4M/+fviO9uvjgEdwXMFdOD BoHJykXzpzANQDZn11oxxNcGovbPZ6Lnax26+FWMAgujkTUD3TT4YGBXFkuh woZfChXrPo2By3Q+/rsve2Tjv3uTUw/+u/9rXQhunMLzs1OlCJ6f466R8fys 2eOWuCkQ8RPNN0f+tKK8lR+VcWN2DGQ5ra5500jw7UijkPEPEvzRf/c9DvHs SCJf0x05MshdYb+oYkyGpm9t2RslaUAcDPYl8ZHhWWyAhRf6/9harzOR22kw ekXqmNJxMly9wp/mEkWGn6/3xXHvoEGYBfCdaiDDVhWWzalHhsFD59yRRGka zAxuI/IIfIc+/Us1LM4jMHxm+oKeAuI95YmnFgjDwNrSc6jx13dojmqLqEV6 TZ95w6bR18Ow536QSd2773CqtbK8aBcN+16ZQ6QeAfjvrK9UuFcFjzrc9oW4 kKA9N7nS9S0N7vlSteu+USFVKLAtYXAMKKQgvA6hUfUFvA7hIxq9DmFB35lP HE1E+LN3t/rWhnrgHQ9p3HGVDJt2vo5rGyCCnYbHpc5NDRDA0ud6+Q4ZhgSi manIbnh0Z7kcTwNYRzbqBCN7/Or2TyHIrqEUrdq/sQGSHxJf6SC7GwOfhYFP otHxCbJ0/HWqdPzklXR8x1V0nEl5Ok7NAzrOnSX5DAOU19KUFg1YL1PBLdtF 57gbBfzzThCFUX47fuVsdSLKbwbyW/yeoPy2GHhDeQ+y643MPk5D9nfn1NiC kV1vkY4DDJzfDJyDuXScict0nK8MnEdXhC9vQvYxj5yFeGQ/wZq0PxLZKwLo +APf6fga5+n4vzaG4vUVX9+1wusr3v0QjddX5C6+J6yyjwg2t5+u9v5SC4aT ggp2XGQwkn96wF6aCKyppAC72FogRo+uUFtNhs8eJWdkrxGA2fhV1dud1VBq bBm9fJcEUtUc0YuLnXBYdoafeLUSWCeFVhnII95YQccXjKXjF8zR8dk/8SjX CxEhsHqQJcmlFiTTxRcWf5GAfTf9uZGv6M+1fkp/bsuBkJTNL6lw1brfYjEQ 8ShBRxOaFQVWbBvglX6L1pfaOzvN7qJx8lP+dv4YBQbubvxthfiJr4fTYiHi J1pXNfUjET9pZuBc+Q+O9z16+zxG+19X6O2zPrjUyiEeMPvqnZUFWsfdo2u5 92HfVR9qySByIp7wwEdc7TUVWh6OVz6WosDm1M01WPuDETp4+5lrJzZi7X17 mhLucdCQTk6zv/KKCnZR/IJPpSmgOBabjuGc2MmD44RvvFaF4UjfvhB7L7kd irSEIp9m5oFMnseV/JBBOEKsGHu6sQMSe8QezL0vhFqrHUpXewah/9os1WAF AbhGnh/EzsUCdokJYedir/dakD3SumBR5u9H39YmqHt+YPbyxmG4G7zq9Yns LvgcHUNcQ2qCtMvil57zDcOugue5h3No4NJUtuDcR4XtDq3aDQNj0HX8aO7Z ThqUdxqEbh6jgjJ7QPe6L2PAN7s6WeANFdRrp5QX0LiZT57+rYnGLcmTbWku kQo2yZPzUYgHcivscmo4QYFrOo9vGWP1hYtnLO0Rf3OoH1hzHvE3dS7f1dh5 k/cN5W7svCmVpK2HnTd9Gc/3MNxAg1pZhzJHrE67ZvqDE2h8JGyU515vpUGg a2K4H9L1R4tj48VQ3o4sT0jC/Mm1/oz7kyMXgfvzorsGf+7m8dVW2HPnzerx 51pHJPM36BJh7UmuOdnlWlCpsRJVFCTD3gPWldj7YhvecJ7C3hcLXWkyir0v lhHASW1E7QVX+BspovYrWb+e2YPaNxRFXcP2i+5UG7th+0UmU5Vl2H5R2dVf Tli8JLLEFWDx4peYF4HFi4W954VwFgJMHa20znteCaJDx83LlFG+N+OJwuJI WyOCB4sjKYsLLFgc/dq9KOiG8uqZ1uDd6XeroMy0/IU7yqv/2t9Tr+HklRGi AdlGmoUZjccOE5/2GxIUOOrvlrbzWQdMOV9YM+VSAolMjyIqVIcA/rMeiTPW Iw5fWky2HAHG5rnK02Sq4PWkTmfyMRLMpF8m/Zylgnwty3R0AhUChmOtpJUo sFOU7qdfKN1PdV26n6lZ9Pbn6ujte0n09tYcmStePSEAyjhtR4KrIbiO6eNw LAmN364T1WiduFJcpX4X6YNTTKytf4ACvcRDuN03pwm3fzD43YLbLU/8jD7U AdGZnUnRW4vguP1xc+a/g7C12343zzwRmE2EWTQdG+Chxai7IFoPN37PSum8 R4MVIY98fyD+Yj7GXjU6NQampw/TRFEeljpSU7CAeGad8/re8ygPc5fbNro2 E2GjYEdzf0s99E5+X7/lGhm+swa0zacSwct65qCMXj1sXxY34bclw6cNN7y6 UR7XMtMdHEA4K4lMgw8Qzqo/YmOCiK9kuvCxzSP+Uzm+YOOCeE7t1PC6EDQv x749vit8nQraLTs2fDtDgdxK+nP3idOfWzBNfy5/4NqPJ98SIWFlKenk+XpQ 8Ts9fdaJDB6cdH/yLtP98WKWwP0JYfgjzfBnK8OfDdP0567soz9XlPHcuogr xfonkT5lL1G0PV4HQba5xA5ZMpzLvd92CunQe9vkzxxAOjS7MeZ6AdKhcWUa BMzuf5XjMmZnPqV4A7N79kz7ql4iwpd3ob4VoXXwN/Bn6WoVMnCRh/yNTxEh IE5N39GhDqTjVrJr7STD24RDt3pciXBFPKo4xrsOnn046fVAkQwvzlz+G22L 1uWRAb+bBnXQviWoep80GVZnz+D4rJHhOP5pwUkcX8+YhOO382jg+Co/6Pip vno4/sfdMTh+/glHHL/wJh3/pPwgjp8qR8e/t/l3xQzitetnHDgpiLcWpCSv 3IB4tUFu5ekHT6lw+nCdoKcvFVzlxI8xIf7ppvpJlRPx0j1BMwnx6Hc+MjNR t8WBAnKq9cPuaD04E1lvsQnx/1Gl6Pc77ND4S9Dx1ebo+A2JdPx+8Soc/6cb Hf/X0lYcPzGFjj/9mo6vU03Hb82m489/oONXrqDjszrs/5aK9O/UdrXmbUj/ dkwY9tYj/cv8xKMXs9/qmW3C7JNsb3D7XQtW9nUGXSC39KAo914jCASnS335 QgaVvLo9WBzN7ZjhxOLImfeoBxZHY8mBbj/8iRCRlSav01oHpn1nVl0+QIZT 78mkzY+QLnhV9XgB4Y8apBdknqKA1acAvP3Jppd4e5oevf3Lz/T2hGx6+zX7 6e2JS4cKM9to4JSvKL7nB9Lv8jKXdNvGYDTX7vWiBxHaNj/6SYyqAzuTsAJt VcQPjwckD1Oxe3rsA+HPET/fdilcWZUCw2+UA9xaumB3vX99on4zsMcf/VUm O4zixGDvOEcHfHndzfzwSSH8ytyY7EMYBNmXdusD3WkgaaWbs7Ue6dCC4d25 f8agW/Hpk51dHeAcdNV194aPwDV+LfaF0xDM6Y5VxyO9mhmm23kV6dQvVzoo ly4iPXKZ8utlURek3/wR2r26GZy0vx3q3jIM6+Ys+YMlqfBsT2B85QkqRMvy nk9+QoGZPD4/A1MCJPtOpPxKr4KMcnElezcSHO8xxO2GB7NTMXuQ/xHcXp3r 5qDih3jyBaX9J+vrYOqhffoBHTIk5Zv1vkHjuRTLprHjJtJ3snlpF9B49uTu +Jw1RQXLpexWP7Qeeij3ML/YSwFD/ws4TvWh3TjOgUI7HOdmKR1nPI6O47+D jpO0yxDHOeT9AccJOd+A45QkdrwZ3kyEYa946m+3Wvh82DzgyjIJKObSJcEy RAgp3et1Or4WctLP2LCzkuG0UyTnkgoRRnxusexoqYV9jbHptzaQgSnPQLn5 FQESpiP0jnZUg4/XzJYr6SS47UjI9SJQYaTvER9/JOJrI3ZHD+pQIGDJVeZu MAFyQ94fFXBC68jltP76cBKA/RqN7aOdwMeUpdqjWgnjXurd1eJoPPdZHLua TYVst59P+BBv1OFomvqAeKPz2MOUO4gfMlUlnxAOQro+RepQKeKH4VXpvR94 aCAl3HdWIZ0KxesVUinb0XpbVpmB9Xdi7fdRrL98LRH+WH9DrvdwYf2iyZ5a h/XLeKfiG6xfLNn096xlPtLfsx79YYy/Zz33Yxd+Lpz0gn4ufOkZ/Vx4zzL9 uSd30Z87OrMbf+7X6f772PdH1j3qSca+P9JYtTcb+/7IpS52c6xfqn9lw7B+ TWdfx/sl8YJJeB61azDvNY9GvOjbAUuJCsSLGh+N4P3NelWB95fsw4T3V+Bt Cf7++Dr/ZPz9cVtPSfz9cY2jv/FzberLNvxcm3tQDz/XvuWggu/3jke14fu9 q9tp+H6v+2L9kW3Ibnht/wQB2ROylnZi479F7Tazcgxab1xa/2ag/NaQ+pec h9UhPPvH+a8o4vPq3pKRVmh+1rVYhEZQINbYEj8HX+Cmn4Pz3uLEz8FF5JrZ u8sIMH+/5OyEZA3crEndY1tC+md+WJp0b3FA+VZb8fH7IpRvVS8aGJiifMt5 xKBIaBDxCm4xn1SUd3eX2sfc1qTAtFvJM11lAtxbMP3JfLQKuDT71E9ak+CN 9uXi2F9UuPn8lZsP4rmChLwvLxQosOY/9UBmGfVANLkviLFZ0EA8S0giuQz9 nZDD6Oa1FNBac3aTyxYaSHvqi/FmIl1gVTa0RpwCr7ZtWzA9RIOIc46PS4qp YGtulpO3Ac1Px2RH9yM0OHe6SqKmBLX/sH3EiJMCslP0fpky+iXO6NdQ4XyG miQNVtbILbEinfSA5aYEjwgF9i3In6muIoDoq0uPQ5VqgPNsu8OWUvQ7Xlrb odKC+rP2ccvKMMSvjnUanzlEgdKJa0e/jRIgNE0z6UlBDTSddRqW7yLBCm5V fB94OWsQ3wd2FCXi+8AOHc0K53uR3n8r8ssT5ePrxnfHRlvG4O3h+ZzPgd/h +tUyU+GNo0CsuSHxcQ8NWjRE09ae+A5BZvdeO7aOgMrQRECVIg1MPtLrkAyE 0OuQNHrS65DUb6Cf4wvH08/xzzLO8Rvn6XVIBv7o4HVIwtXodUgCFOnn+NyM c/yXjHP8B+b1WuYon4TRSmM5UD7pvKjuZIbyScyJR67KI1S4sOPAeBZaV4ni Sxuq1ChAPvXmJHmYCj4ckv0ayH7EWnjmBNJ3U9fTc4M4icB+58/cX/Va6OF3 l7eZRn7qMGvtzUO/t31BwZt7aL7v35/+3JQCp7IIb97NEiHIPaPwrG0DUFot w0UjyeBkv7T35hIV9v6NVhFG88q7OKFYVJEChxyUVg+iebXd9sqLcDSvhCZk hvjRvNrZnwrBXGg+3Pu+vgnZ73YecG3dQYEDuw33YDhGxFxlDCdco60Ew2Ef 19LA2nOJC+Ltvd0sz2HtbaBMJO4yEbbOlXWxvKiDikCRi8JqZDirLtPih+bB +ngJa3esPnx6o2IBmlfb+7Zt8/xKhffBkucqER/pX5f8mA37Ll4SHWelUQWO c7mRjpO4n44j9oKOw/+ajkPkHmXLGPwGlpYiHuFLBGjjInU9KR0Fw1HD4Yyn KM8cnb2Um1AN7IK8cR0JJNBuLDftb+mEsMD21Ot9FcBuKCp4lIsEe6rfn6k/ 2gnPUrUerxMrh+xHZUcPFQ7BhDFrc+hXCniyrGq+oE0Fi/g0q4xcCvCKqoc9 KOmA8y6i/RyHP8BsrQCTn/EQ6J/XdHy1jwDZRBGpSiu0ziZ+Ya6wJUFCdMWx vplOCD8tuYPHuRJmQ8p08mVJQErdeg5r/9mUXQ9rX+rItQZrz31grL9zrhMO qrxQop6vhKuiHFJ8O0lgeWf3SQyH6uRihuF4wk0DDOdf9xP+Vc/cOEev+PQw EZTOMf38KNEAkYu5N97cI8NO3V+FmP1b0d8RzM5cxOOD2fVli4l33neC0u76 rRBRAYmHY54ZYPU83U7lY+85PmBN8Mbec/x49d5H7D1Hlp/xi9Hod9RsZ5mc SqgDsfHiL/zodyTPrq8NvY107tU9Ci8qEX8LmpgW3E8G+4p821U+RHh2RPpW W04dnBpVN/ihSQaJy15B7HadMDwXFBdzvBwqkyt25lcOwb2cTZMYvraOaTuG T3UtbsLw9QTfmmE4BhbG1hjO9Y+7D2I4YZQdAQFo/iSEKNKw+SN2Jcw9H82f 2KyuEpXHVHgrShq0QPykOmb+707ET5zupn15H4rWDx3aHAHZN/zhHfd3pECU A0sQhsMk0IbjsFz+6IbhrOzd2oa1ZyrimcfaOyYP0LD2FTFq6kJGBJhIb0wY TED5x/dOm+h5jM9cbmv71Qkf2HaXHrhVCTfv1D5/uhvNQ2azXyRkN+nZ4+qL ffchR/RNCrKrjb30HkJ2J/k78j7IzpleG5eM7I3j6Ti+eNvRRAw/rqwDx7d5 1o/jh0UllWH4lXu54jB8A952HD9WY+ochj+U743j95au8MHwIax0N4Zv3rwq HsO3cRBP/DCN9K13dv1XxNPuqqpslUQ8zUm31E2NkwbNR4PXYN+/qzaMqOhE +WTTV49qJWRX7iJvW4XsfTZG+l3IbvD2us5eZD/ArG2M2c/POHNj9oy0rTj+ WQ06vkMIHT/r3FscnyvbH8d/GxCL4w83OeP479sGcHxq1TEc3zrDFcfnWaGO 409nXcDxCy8Pv6sZIkC6NZ+UY2INLOqFN4y2I153fMHMZIwAyh4GFgklNbC3 g8lmbzcJtLpST9vME+C1c8fnpdEaiOSO5js5RIJytc5Tvyup4OlJnolBfNb3 LefBP/oUWF+hmX6rnAoTBwlHah5SIf6q8YLQUcQHZJeOyH9A6+4ztSzzB1T4 8W2sY40R0llX6fuu5p70fdem1fR915HpkdW9aP3NnBX7PITm1ZvpGT4hNK+S +en70ot69H1pnwj6vjR/bF3DijNo3Rleat9/EfFZwcmhci8KvCv19dikRQSX TaKOX4drwbGmLPUGD9LR38vvOaL1t4czruh7Xg2wuaXF9RBJsI6zoorLjAA7 djA9T8usgtYR0a4fSBf8SZP7aX+WCscGbGmFCD9i/FiYOMIP2sP54QnSV08s xR5suUqF0MnF3ffPoTgaLexeCKPBXofy0Nl2pAedo5s/j4+Bqn1OtesJGjwc qvEXqKCCk9rD+e1sFLih6GGo/+A7GN/0DxUVGYXAczsasftdwOAzUv/hM5UU q+a3ejT41bWsLI94y3fJfYt8iM8Ur51fu/ZPJ5zXmNq3GFQJexUI+yUVUZ43 +Irbv1U+we1BOZW4fbZtlYzvehrYfByNqn9Fhc+LwS+lpClw5IwWbg/T/Y3b V5dcwO39Yml4nY2SBIn3WJ2NZukHeJ0NJGqHFaeIcOXipZSDJg3whmR37k0Y GTbw9W9XqByEDa/WPbt/agB0qLTpYLR+X0mpjhtSoMECf17+WC4VnpL3NfQK UIDnXWJxx+NOuOpsFFq8ugJO1s2m5gwPgR1JeouTeCf8cPt79IBQGdSVCyre iBmCZNpVvD6MRIMfXh8mv14Erw+T8aZbOc+FAOfWSIidm60CvoCLZ1xvkiBw ypyUkUKFT2rKa24FUuHFkeL5sOMU4Ja7ntv6rRNuU1SCSDyVcOJPppivMBq3 licPT16mQkqSxfB7LxSnKkefVrpRwHazwmuMbxzVvPMK4xsvr20KxfjGUdnf XVhd01tntmpidU0vkeN8sbqmBmV3m5iOdcAt1lE72rUiaJd+WlXCOgQs9ktn ptQ7QXk1+3mmljK4qTAt75ExBCVtx5SeyBLA/vSDjhrJKjhUEP2wx4wEfHIG 8Y3HCMDlxpn2MrcKHn7TzxK5SAIZ02Ku80w00Cu/goQv4jtjgU9XIb1jV5bj 8GobAUREPhqXcFaBz/nInD+G/663I6WglbxSmwaru7pJL96juH4gZHt3IwUC xeh16tob6XXqvu2k16kLzcgcny/vhHu32DRi31XAvNKHS2psJNifS78/dntC C78/lvmEfn/Mxplev66hiF6/rmKZXr/uhWbQm7StNNCIOP8Z23/WTRs3wPaf V22l3zcbtKXfN3tfTL9vRmjPE/3FTgTXns+nsuVrYTSZf23/TxLUrff6OYri 2pPjrkAx4tXLohwbVRGv3pb9Q/3BLAGM2SLfvxmqgZ9/TQYEB5FudcqKx+ph fnqfS8XqYQrmbsfrYTZf3fHwJOILf6fagjbcpwL3dY4IXsQzDWvJKbMov9lt +j1PRflNY/Fb+ncDCizqzAY3oPxW5s1Rfxfltz0BdjtrDCmgwmxauAvlSRYl jjxzlCe/j7ycO47aS608U/SiAOnG31az3gjfKLUjKtiEArof4nH8nUVkHH/g +DKOX5vDi+N8vLCYi+Fwe1fgOAcpP2391g2AdtX0erbOHpCyeNtx9OgY+PPN 2n1q7YTSx84uHwYrQGnfyU+ziNfdOfeFonWsE1S+P175ULkc2iceBLaXDIH0 W4l6VYNOmH/kejxJqBw8aRMSuwqGYIO2olF7DAHUveZKCpKr4VtshVrKCxLc u2qzp8+CAEUZQ/v6i6tg6DDz4chLJCiW/9F8eQMB9i2F8LLVVoLH1YAQAS0S ZF3YFseF+K1GyTI5EfHbL76HtPcgfqvCNJwiO0mF2zUVrExovUv4WrDyKNKh NklHjpxjo8Ej7ztnK1LRupl1UoyE9AVpJNEQq8eoO6KrjdVjNEoWWI/VY4y/ 9uYDVh8sv1dXDqsP5hsUnYfVB/OKP5eEvZc63iq8HnsvVd8s+BL2XmrhXnq/ wJjer+hwer+Kz9L7le9D75ecFr1fCmKMflXT+3X3PL1fKYx+7WP0i8Do169l Mt4v12p6v7i/0fuVEZgW6430dvQHUxZ+f6R3oq71NtlQoPflmXxbFA9GZTz7 igIQrz7Ha/fsBAW2ieTudH9BBa2JBuNNyK4oqjB2zZoCzddsn2E4PGWPcJxP 85I4zoZ3V3EcrSpBHMczixPH+VogtwvDGfw8heOY7fn1A8MJT2k6WIbWu8a5 2UWWt1Wwl/lpwyl3Emy3OboibD8B+FR3pxz2qoIzkXUWJqcQ7/qoNGrFTgA/ tuorWnmVECPBn+KHdGJUrSWfZhQR3j9xm/Hhqoe1NRnLa03JcJ+oMh2kRoRM 65cTzAQUpyvk2vS4ybBY8MJf7QcBNhllq3cX1oBIxE4hTxSnZnWjWz4Eo/WV tKeU6I30Mh97yj1nCijHh17IRvNgfTUtsgPlbSPJjHdbUN6miUg59qB4mbSv GiCheKk6aj44heIikuFPPsOfNQx/7jH8SWP4M8Lw5xfDH0GGP6IMf7LXNen3 pQ1DpOUixTT3O8gUvLUt20WDsQOnqLsvDYOs/J8VB6y+AzNHWrzXzn/b4waN iIKT36E/yotPsGIUcrfsE1FSpsGFe7qXjIq/Q8+Y0DznWbTu90tbzirRIGWc TQqr5xmTMtSC1fNcYRJyHKvn2RsnNoTV8xw+smoRq+f5fM2fbqyep13MJSL2 vnnpfUP8ffOhM65d2PvmHFtThTt0iLBwmz+CPFUL9xqFhUX4yUDaG9fsCkSo Wud28SGpFvpDq11XIV60q0ThR9EeIthYcq1yKK0FT5N9I34cZOBk4CwzcO4z cMgMnNr/4CRpitycRPOwim3GbwzNt/AnAVLH0Tx0s19j5oz65WKbQHBG/bJz 7RDLQf1SVaO3f8FKby8YTm/v95je3v0CvX3nMXr7mAvbyTTES6z6T0pGoP7W b6ky32yFdPQOqTVZGkQIZC5v9P9WCzFntnc2byTDw8f7B5MlieAzNnCuL7QW lCUcrhqxkKFXS4e0SpEITzUOVHu+R/NTVeqK0Toy5PoLs2A49kPyRRjOcWrM FwzntFVrB4ZjuDpMC8PZ6pbghuH0D8zw7ycQ4Q1HaxT/z3qwsTF5xXabDNtV Csr0eokwFkvj51jVAI80bLoOBJBh/tTr9zGI78ps7glsQjxhvuvtLSakE/OP pJ1/jvil+cjTLDFkl1z89HoY2Vu9KwV8fqNxiBPTrk1E/N9x2kBdgQI59Tyt MatpIM5xcdd2FB9VPYT0XDmkR/rp/gSz0f0xsab7s06J7o9IKN0fezW6P6uc 6P7IM/yZZPgTwPDnAMMfTYY/V5ONfsfvIcD28NnwOp0qeNtyKzrgOAnuv56q n+chQKV4ltau7kqIilS8vaBD+ud7kQp3X4gfgj5wmZZ+aBFHBNF3u7ltVvyA 1efOTx4Ro8Hjr1961qF1XyXl2oVSxAdGODNtqxEv5jfQtQlBPHKU5+IcC+KN Jq13gvzHCUDVETVTbKyB3/aXnu/A6iVGPq5NCiDAWrbZkQcW1XDxIscw+xMS 1B9ePCFcRoWA2wXiRihvxF4yyC1GOqWr5QvT6SEq+j1rDm+MocKZ+GebqBoU WPOZjj98mI6/+yQdv/EJHZ93aQbHj79AxzfWp+Ov9qXjj12k41/8QsfnHqLj Nz+n40f1L06f2YHy+ce2CQ5rKnC4TaprPqEAX2Z0QZ8KFfh9uDeHOKD2V+W8 ++5R4MlVMQ77gwjf9KhlgRMVOKn3iw8EUmBM+TBeT/VBEr2eqnEkvZ7q35vO eD3VN52JeD1Vp3l6PVWlaZ/1YWto8FPiZr74S8THzulttEfrbHWtAH7fMnCs FL9v2aVMv29p79r/4t0c4rVZG1S7EqiQrJbzt30PBX6sUMbrsvKEOeB1WSfb duN1WZcv1+B1WSs7ovC6rLSMSbwua/ey/uzCOgJ8cSDqjBRVgoNUM/tLDRJ8 ZtzPbGXcz1zLuJ95RC/bYLsuAQ4oarB98K2CwpJ8087TJKBK8e3NUiJC8Wf/ 0HcVtSB9ISFGbj0Z1rzrUhuWIMKfPU5/TYNrQSYuJfkkM8pXq+yPt/IS4euu i4rHLGphfOXnLO8FEnyUi1CPQ/mkKGNe+zrKJ+xrv17VRvnkoZLfV0mku2aI l4+Zonz7auY0rcacAq8Eol+2vkP5KN3vQv9dKqgKLHi+NaPAxnKqEubPCrOJ x5g/O+L9cH8O3+JSx/x5ViK1wgz58+NuM+7PcJWbFeaPcq6sPOZP/w5J3J+v Ug9xf7qOzeL+xOzsw/1h1jXE/Yn76oT7Y117A/fnZZE07s/UHVvcn4CXO7ww f/prTFuwerySJREnsXq8okOcyVg93uI8ka3P/hBgSEYqSpa5FkJW1sVfGyEB zwm2V9+RHrN6eVcm7B4VQtREzcoR71WOE5puKqJCnfEf73shVPBqUZASNqbA 2TjlVKy92BuaNNZewf0n3l5S8tAk1j6J3xFvr/qGRRprv/YzucvEmQiFi0sv Ol3rQNgj5KONPBk8XnWFX3mAdPrQdl7viTpIzq2/JaNPhqx+nsK1uUSgVF+f TbxcD5b7Tj7Qcyb/D07ef3BsuT7nYDi12wh+GE6nzIMIDCf2MAcBwzFkkzqZ hHDu5UgkYTgfCmguj6KxOmzFLlt80bwW7d3saY/mP9NEMnbfslvQ3xa7b+n+ /LgNdt9S7EAsx75bVMgo7WF/g/S+S2iHQLMrBbLO60hlzlCAaVr+RsthKix4 jlw695oCS6Q840cEKhBdBJJEIxGPVfjerqqD4lqJf2fZMhX0P94xU0DrXk3d is0ZSAcZ85xaOyhPA58WaQ9A49qjztNXKUiBG3yKE9e0aNCQ2ZvkgXQZd12W by3SZSUZHHj94QOJx/D6w35O1nj9YZObQUPXf3ZCc+G7n60WldBtOrccL4Xm VTC9/nDrML3+cN5Zev3hx67fvZe4adAzndCjm4Z0SvJjwR07KMCaaPn21isC GDyOzIb2aqgUMUyCdJQ/jz01bpBHca1w5eulvVXAwd2c9sWCBFd2Bp8YjeyE 2Ignu3qFKmDbm62z8z+GICYgV6Ad5RMh6eEu7DvaaqdHTbDvaA+5f280m0L5 66WF1ylsvyu1qaEe5aXnzFK/JAxpkNC62Mr0kQrPokVvvOSgwLVriqd1NDph /O5y+p5PZZC/qVYoA+nlq6Ppk+GbaHAgSNX5E/L/scj69IuSaP4rSLo/QXzt eXdR8KccKhgMsKocF0K/lzdbiYkRDd5XFgg4I3wFc0KZCMI35ejq0LEmwB8f 54dSjVVA+qR86o0X0jsJt4vfChFAKPbXXR5aJUxb8W38c4gE5Mad8nnB32Gi 5tf1cr5RuHFfckUrWp/+dS6z8FD0V9QYCZx/P5zJICP9Gbya/eE22v/zPdV/ 3UctfZpZZ/qMDMazWduTVgzDGh/rKxFS/+/3UV2dos9mkKhweb54qy9apzQz R7qPo3WKs7VMoPY2ASperu3Ycrgahvu2sZs/IkFi3djjAVnE8yhNBiE2VGAr mv2u8ZgCalJOV2jSKE4ubfhGRutad2P07c2hFHjUltH5ZKETwt1XbJjxqARH C8GdRrtIUC50eL1oaRfsavzs58LbDPYTEev+iA3D9fTfAeaID+yddTy5AfEB wx/jb4sQH1hXsY2ZdQsNWNyr+OYQL/YInKHuEafAhaAvgTftaaDZwPa8Eenm QqMK0cFVyB/qWqNRBwIIC3Ol13+rgucbCRHJ2PnXpTbxXhoVsvNebvz+nArC ydUSDSoofrvUJaO1aZB5aitPG4q7J5sGdHVR3JUeMD/mDTRIPelRshnZ3dIr QlU2oXnL+M5CajH9OwtRjO8sVDK+s8DD+M5CBeM7C339Tj9fy3SCqYHRi9pj ZdCU40PVTxgCa80QWZ5PRLii86NSglgPZm+WU5avkyHx11MZ7B6V5LGR8kj0 74vMM62TbhTo/JbZlnq7CzKeHd4jodEE80peW3nmyKCY1xQe5N4F1uuOnt6w qglaz7yoLBsjQ8clvZxzFl1g4cL/qjazEUz4PSKFusng9vDaFs0WAoR+cB4I sKgBPe7s3XXVJGiNW3EQuz9gGKF2Dbs/4NYTuQO7P/B+acNoxFMCxDMf8D2V UA2WZwe8qhNIoHVB4RdfI8p710c+LoSivLdJgf+THgWO8Fi/x+4bGMRsEMDu G9zPs9LH7hsksToVeyMd3dnpN1WNdPRujTmpVUhHT3zOVK9FcdsfVLq8G60v Hqndd7XRuvYs+rgp86dOuGuvG3lhqAIu5pyNF+AmwbvyeVFiMpq34lt5lZFe CIx9rjeF9MKXgeDC44ivfHVsaChEepnvLr/KLNK/fSOe2fmfEM+DO3JdYUgf u2xm0telgEL35ExOD+JjTxWO+SN//qTrpdkhf0gbe19YDFNhoKM5Zj3KY8O3 r16OVadA20n++8LaRCi587n80o9asJjg1t7LS4a9daO8BYZEOC4qk/eBvw7q RqpEakTI0MrSb6/2gQDmB+wu2AjVgDT1SFLbexT/vSYrp2IJ8Hxs1Ydnr6qh Mdak5EIiCVhzLHnfexOAWEKbuq9cDXc//3xad58Et55pvcX8j/dvxP0Xyq1Y gfl/hVNwAfP/urCWOeb/XFTfK8z/n5nXcf9zWd7g/i9EJOP+y309ao35s/Lh DVvMH1ZVngTMHwffR78nkT8Wcn4pmD/SDaEFmD/Oh40a9yOeZnMmZuSxRDUc p/16PHmHBNsv2as6Ebvgc0bQ0QNuzTDPxjdVpjgM0b/rXzi3dYGAWEjAD5tm YF+RsUZTfhhoWTrbpr90gY5UFM3SuhncozcPUHcNw4v71xLzN1OhZaeYxw1L Khz0zfdcE0UBykDHOWsRKphtWyO4xgr7Tp3vTYNIChRVsz/wQ/Y9Sa2feZDd 8NP4GbXI/xMXaf+Ii+P/l3HRRtPzytxHBdNe0vltJ6mwjctDhhPxcKUdt+1W aFGBN+ozheKIdM2N2sg3dyigHRPSeViPCp9a79tnn0Z6dluWzJw/Bdr/P+HY MTmexM5f/A9vxM9fyNk7dLHzFwcRUhp2/nK+sBA/f0kOvI6fvzCRb6Zj5z5J 0Zac2LnPNk77auzcZ+vfEVPs3Mf+RIwpdu5T77rfGjv3ya3jdt2D1uWxtthl K7Quq6bc6iKgddk5Tf3g0gIV9Ji8dz17gfigksumVkUKhKSLuQitpcH24hf+ JkhHPJG2ChFDOqKD8X768n/eTx9TuaO/TboLmsPZij9tbIQT7xtSl4vIUJHP ta29hQilu6fGqtvqQbw/zUQI5T3nV7+L70tQYcPysaKq41SQnrf9uhhGgeBD uhJyLgQIq+A4EzldBdkbHl5nv0mCAa5gPB73XTSpxOJxb7EDHo8shZfweHzH +zAHi8cl1Yt4PK68Z4PnjQyHcR4sb2yQGMLzRoVzAJ433pDr8LwRfE8Qzxsn HNRsHtoTYIW/sjR3N9Ijbuyl2VcRT1hqtyeqE8Cr287P1qEKtA+zRRyxJ8HB Ly/PcDV1wmIKm1hRRwXwpZuFHOMkgQFjvyuMsd9VxtjvkmXsd61l7HeZMfa7 vjP2uyYY+111jP2uYfPv3PcRn1wSIceJIl63xzZ5pBLxOqM+g0Q2Nhr8HVj2 f4HwlPNuHuOUQ/pRc+9g80Ya9B88yPIQ8SV/Of2uBsSXeDWOf3uH8gOH0JPV cig/hH2ti7yE8sMGY6czk7NUOM17XOQpGo98BY7N2H3jScVnr4nzVHhXtlN3 H5oPCdTVusZIDyYpqHt8rkFx1pV3d+TAMHSP37/4QBrxHIPA/vP1ZCh3DfUX ODwM6dY3M58h+/RGqqYA0zBIh4Vc2JEyDO0sQee/y9BA+Lc09ao1Ef2e7X4C B+sgBaocP+wgQ4nG0SDxZ1RgHuLUMPZDcfFtpVaXLQUUt7ws27OKCPOtM5Ki ArWQrHlbQJhKAveGr23vPamwcVvIfhm0bm7nDO33dafASdZ++Rz099PqHsod 16hwU/aIsuZZtI5HrxmnInzxkN0u4ej/Kaw9LLcQfiN7nElgKQEK/OQeGIrX gM1bmY8XitHv63TqvjXKk4QnrNdDU6uh6rLL0kqUJ32ktxSdR3nSIf9KkRjS s8rcQWycSM+q3yO7D9V0wsYZ2+ScygoQC9k/kc2OeN+1L7kkxLfKu9yjhpEe 0ZHUCXaxoyC+d4MjCvGSgIvcLU3IH8f7wVoKyJ+E3fdTteyJwF7btme/aR28 Iwsqn5Yhw+8wme+Op4nw0U0zJ8qlDq6d2tKat4sMTn9f71ynR4RPY13eoUx1 ILbty25eITKcbXQlUeYIsNtrX5jnSA3Ihm9axT1Egp1lZmq7mYlg7PtOPXV9 LZQ1h/ctI356somOM6lExwlfQceZ9qPj7L2miuOAAx2H2YGOY6P0FsfpvUfH qUlb8eNBIhXel4jFeAZQQeN94egCtl/9Vcvd/APSt8eWNzg+QP0dUN69aEiB Wb3dX58jvlWktuOMRAhWL9FwKhnpyi1Cgfg4uMZ+xMfBJo4XH4fVdqejeCyJ 8PxaS2KPUh0Mffny9NU2MgSW9jmn6hAhp/rstv1TtZDNs0HvDx8ZzlwczWtW JYLUkdRgls+1oGFDyufmQuuCQsSixSkifJOyqbnmUAd866cjD+wkA+1yhLyb LRFCt6wToerXgUfuecfN0mQgZ9D7deEDvV9HCun94ifT+yVoSe/Xu156v/bv pffrhhK9X2YJ9H5JUBXsruVToaP1lRg/0qOXgw5ar0P6Wn9MbFcs4kUuKb8M xDGdbrTzoDniRZ5PO/D5Y0W6iM8f4QptfP5sfrhRH/v+EGGjboEKsrO+9Kw1 Qjq3fdlR5/5TKtxqDnfyQPaB8B96zMguc29P7k0U/53MvJP8aL6tb4q/txXh fGEfHV2B8uS4hPvLCdSvt0ujWqaoXzU5rILaKO+XDS1IrQqiwt8rmW7frCiQ r7LjjZE4EcwTMt989qsFyqTOswNMZNjzXSDuYjoRZHn3a7y3rId3mWdJ6g5k GHh7oi8/mggzu5LyonjrYdIICS0z9LsE9n50DETztmXnwVPtdfD88ReFWwfJ UOVdLciF/NuhkHw7HsXv/HHqyTsofj9+Oc2phfKq2HVt+yyUV7dl6KpUoLyq y/zVNBHlzb7M+FWfbqB8P08NHD6F+BvDHxN+uj+iWXR/br6j+8OrQPfHwZju z+oguj9zn+j+sIfS/alk+CPJ8GeB4c9fhj/KDH/YGP50MdH9KWL408vwx3Gr Vrgg0iP8DvLBqSju46N1e0VU0fob+fe5wikC1B+qDSgbrgIflUsp4E0CDo5S XZHtKB4vuXJFh9RCbTfLCc2VZDCvTvQw9O+Eg1Xx8TnEcvikImi6u3cICiB2 Z8ajDqAuBfONbSgBjbItEnPyQzAwyTI0HNAB5wXlDZhqi+E3/yE9J6kh8ON7 I1eO9FWgy9WKXagfWx9udpgxR/oopyfjuDINQjXtSS5onhbvac7p5aOAS5SM VEMwDWY1KTH7PlNhMqmmuH16DDLyLK5ahiDdrftTyvULFVYlD/5QmxqDP7xZ 5SvRuPkONLHHonEL3alq+wCN27J9w9WPaLxen45y8r9CBVnXi0vW5yngZfZx 5eqtVJBhv15MRXyP55PjW8EICqxPuWjbJ4niQjvzff8JFBdJ+mY3nlBAxEf9 1u3XVMhb1s/HzkciDzEJ4ecjPzeRVigSQVrspoPj+1oQ+eA+pb+ODLcZ/Q34 T38X/tPfEkZ/TzP6O/N/2d+IKb9WnzwqTIXkjVah+GWNm/O9ieJays5jSAPl h2LOkL0nUH6Y1NlSutKIArn3Sp+lhhMgor7Abd+jaki/SXtq8BzphT19gjIR BFjbZp62NrQavoqFnktH9obP3i1C3xAPY2pjNUZx37rxufERLQpsjKwtnuil gmuHhbk2sveBFqcdslP2BVjdkSFA6d2H7dskqqD9++e/W8zQOmX2svMEOwFU WrKkD+VVglE46Y+/OglSjr1OPj7aCRpB2gsP9lXCw3KtxVFxEgS6Jff7/KWC QGdqfC3iIY/G+MgkeQokvyDVCiJ+6LwgfxTjhyUrtrZj/ND82ev9aTw0kOm5 NSCTjuza+y/MbKfAH5WjDs/kiKAt4LUvPrUWMqYLmPyw+niM/ahjjP2oasZ+ VANjP6qWsR+1nrEfxc2ICxYPelw0MuLChhEXdoy46GDERTEjLlh+0eMCGHFB YsRFICMu/jDiovTz+pUF7ES48bd3bdmuWrh05/OVrJ8kOO+fRjy9iQh3bfpM Z47WglgznG6YI8E+crCZdsl3kLs+GRvhOgoifS09S0o0qMm8ocw8jvTOV/Xa qefYfmobz3sVCviwtk97ORAgP+tioHJvFczc+u1neo0Ei3x736aVEMF3Ljz+ eXg9iHV3J1qeJ0NZy5NT96tQHlh7Lo4pux4qdkUtD1wiAzyqu37Shwo0kWae IhRHZ2+V+3KjONpflvqmDsVbiAJp/dfLVPiYw1KvfgHF9bPu+C3eKL/Vx/O8 za4DHvV40UOaZEiQj/+ha0KEm89i6l6L1cEBjjVlYWJkOEYz/MXyhAra+v02 P29Sod5N6pODI1qvLe73+SL9cPBP1nV3xJ/Vkr/ZWthQIMXMVXKpvBOMVjfN Jb6rAFsuTyYNNhL0rZarLvQhwAkS0wYWtWp4UR1xxCeEBJP8b30zzdE4kDRS SgoQz49WEi+7iHjd8tbei3IEUBciPPkkXQUVtX0frh5DOI94zQYz0e+++eBA 1ql6SJK80vvKkQx3aapVFe+JULFcn+p3rx5WGW1pMnAlQ7i77e3qHiLkfWNd qP1bD+DusKToj8aNb1UN5s+4xiQ35k9pvKw+5s9FJ3l3zB/u4VMumD9eSj94 MX8WWyNbMX9KpQscMX/OxFjlYv4UXxxXYka8OjNJzHMKrc8/syQOlSNe/cHk GDyZRDymUDZiKxonxW3lkyLKFKjecG66+w8VaojuCaEojm4nvXSTRXy+ukZp L4YD51VxHOZiFhzH8YOZBoYj2uAXjuFo1adOYTihHybHMZxfI5NxGE7hx1cX MZwa/eXbA2tosLJia58GikezEw3jaige1/v1WFK4aVB41rlVG+kCX96IoZ3Y PrBbUeaBn2idNeTIzI2jQtp+04k8hD+79OpwIwXla9dYRyU0b/U1LAIL0DrF d3Cie2Ea6Yfi2m8TyJ/HSv6S65B+fFtynxaNxo1HrijuIhq3OZYbi9lo3EQX y22eIv97VcOmJVD7xjUVFcIIf89vDicfEgE+NCqt6EmugZKMvTfOdCB92v70 VncTAb4R0oozTGrgwK3fD5urSEAyD7TvQHly8A33+m8oT0a8+nzlAsqHvDuW ImVvESHsvcqTho91cDehNV5Umww7V6V0V1whgsv9A41/kutAq3C/zJgaGVw+ 1hzNekwFv+OlvLfQfNZ7InJsCc3nHqahHWJhVGgrHBM1uoX0OsX19uBJCvyq E3qmFEiD/G1lh9d8Qjqoqmj4wuwYDPA2FGJ1kNLOz7zC6iAlnLzmjtVBEpmn 41ecp+Ofv0rHP2pEKFJC9kwu4UFzZJeFcSt5xAcCzRZx/607lXD/t66l+19T 7vo55jYR7PfrJ5VV1sGWopuGYvvJkAoeN68ZEGDmq69qYVQVmJXlxeq6kkB1 1byJgwoBROMiIwjGVdDrZ7JP0oYEZtJJTs9mqPBqtJNrO9J33OPT5lVI3829 jsrX+EWFods5Z22wuqbl3TcbFZDOkr3MMl5DgJg4ciGPRg0o2oteSS4jwZ6h sedxeQTYNZetNLCiBhTSFU2v5ZJAypXrvp0fAZYzTuzIMKwGSrC6gNdjpNOd Nqzzb0bj4JrVXYvyx9P2p4rFhyigcLjHQbWNCnE3N3RmhVPBQMclUfogBeRU YiMkSGj9WlCTNUPzn1X+hnaUBgVO6cfi98GmIr3w+2CCf1bh98Hct75xGdhI BK/VAwYSBrXwdZ1W3DmUh0dBiiV3PRE2dV40Ft9XC6YDfzbXT6H1rtRPRXGe AIeN3F+cG62BzrPSkgeQfhFWGusLPjECOu++Tt90/QEOnQGnnqv++15HQ1W2 lY/Rd/A6tH/XuY8jsHKfLSlIkQZmxunZCobf4Zmo9xbrkhEQjjU4fQvZS0sV Vx851QmHk4M3E86VA+2OfL5T7RDozAkE/UF6c/1FrdvzEjVgUXg3oQrpTdun dHuQFOB2y8t0+1Gq3WOs7noeu0QdVnc9V7fMDau7vqH2ZW4Iil/3mxo2TSh+ W8I6N0ei+Gqtlyyg/qZCZdQKCSr6fWMHpV3WoN+37tzZRxjOabm2Wgynfr+c O4Yz92A0B8PRWv/HGsPhbJLeguH0SYvkYTgiS6biGM7fzZvOYDgtjtWqza0o v1TsN7uP4oaYyvs0VxfNczO6fccHur3+Dd2ey+fMi91zIOcwa2H3HMIIXobY PQf9H/t5pFfSIKBMv21FChXeVMnXa+xCfFhE88gWpKNPLJ8NYSuvgEP+EZu2 Ix0dfHmEufJFJ3BeXnsyWrsCnM4MijydHIIdrN0z2L2FNl8mb+zeQjyTVhh2 b2HiYYatgygBlji6VU8uV8JPG7Xdh/VJ8P1kjrNsTBdMCa/7ORLZBJOTTnmr 2IbB4vUNQS0FKnQ7vWCysKNCupJCWucDpNf2f/tzB8VjWoLH7lsoHg+IpG/a hOLRd/ZO0xlkX/Rlk+VBdtuJvz1/UPw2hMaNq6F4d6+hTlmieF9o3vFEDsW7 XJLAj4PI/m11na41si++LOeXQvaKKmE8rmOjLVWwuObPuIbH9T3Ym123F83b EFLoYf0qkCirZ2OzJoGPajge1zK0z3hcxyQs4XEd0D4WV43iWiYoxfkeGmc/ xWccj9A48/CHOkSj8f+rvyn7E7L37FpM3IXs7f/Yx/umbs3aNofmz08OVhL2 XWWnWp+aPRS48p/zuFDGeRzRPFHTS44GYUVf1gsh/Tpo3pOhL0wBln/c9xCt D19pgNo3sNmkcKD2JRVf3tmi9mrJ+h1vEY//Ga6pIYX0QXic7EYvFwpQI5fq nQwJIPZBXsolrgqWLsk9fXGOBJfm/1dlbx5V0/u+AUsUzXM00DxooEEpdJMM SUqhkUKToUFSadBIJdI8aJZEGhQKieZBiaZzGlHnNJ59ooFK0/vsU+/7x3et z7vW76/P+txre3rOs+/7uq9rn33ua4OGJAcVhPasW3cG6QCnqDcbHGUpIPTC tzTrFgGsLhUMNKrUgDirv+XGeySwizj2bb8VAdx22ocvEathzICF4OFBAvat imy477PiozsPcd/nfIZ+mu/zyQfTx3Af0ut9b9/hPqQ5r3R4cB/SGi9TxYNK BNj8gFrItQfxAT+OUUkT1O/G5k7oojyUpxanpGpXw/iMoNVRlIf5K08qdmcQ wdRU9aCkagOUnTlkzGKGeO82lc1tLkRYeulRbPawHqh5nIwf1clgaG0fYIs/ l/S+SM9xC4PjL7YOUh0oEFtUOc4Xi4HW77s3/qI+pXRo6c061Kcs9K75nnwz CDYcwefKpwdge5sQh/82KlSK256o5icBN2eB10TUINzcl5vzUYQKBzxWjHcF kMBDjtfEaC8JxKanKZLi//fri141hFpHIn4qSHzL/AvxLZOrsadlqeC09h6y 3P+8h/x/fX6oKcX9zitvCMTHO4aCS4dhUSzrUctO6n++v9ejOThI/34YiJ46 UfEOo/D8xp60acTDB6ip26OvECFAuI8j7VY9mAk8TTBTIcPFaGH35dNEkODN rohTrIeUM7sDdkqQQUj1yDbpeJTH/I8TnvphsANquHmsEU9rzHl7BOHjk/ci pQzo/tSebhYgId47NlARICVAhHiuILc/F+og8cNhu45/JJBOPSo3JEIE1/v3 ei7fqoNzca7jUSskqF6B/T9rUV/sVc+PRHhQf9W2tfg4BRpE1zGtzGPAwsMj OZWBwa12p4NmKiif1/yCW9b8gmPX/IIPnowrUNjWBapf08WUxxvh4kXBwNgi Muyb+HuSQN8FLhKcxokRjdAu2abEmU4G9nW16Ts8u+CxkLGCiHgTDHn2CbX/ JkPlM96Qq3ZdcLars/zy0Ge4e1xPwZxMhk1v//RH7CDCK6H1TBuS64AFxtws Gchw9Df7I8cRAlwVZZ6LLqqForRuT0UiCZJ6DhiduYj0Gh3vQvkg0ptWr4Wf 3EJ4da1PIjKSAKYHWAQCgmpgcnS4QvQRCUTrdTbI/u2EFgF9gZgrVZDxJiQv VQHpvgMSFSkfCOCS48hSKFQL474SXPzvSDBR8UjTK4sAjtIrB4/W1oAp2bjt Wg4JSjvG6yIeEyAzpcSbp6oG+I0mTeqfkuCwuNjF4GYC9O2cXVwyroXhQrVn OjUkYNXdVgwtBJDcMBBPb14LHNer9vjUkqCojnoiz4wIloOZu3q16iGL8sXi ljQZuNQvuXDeIMKFizZZOxJQ3EDP0UiDDLxdlbGOtkjXHD2+KYBaDWTmfOyb N+I/IpfdTx4mwA6s1OOLbzUUaTpm7rdF/f1FjZiwFBUKLhKvPStE9xfLCYzb jvqLmk4s/REqLGy1L9V7j4GO3a3p45wUULLuPU85SwWzIlvKxCeEw/RlAm83 U0DOe7cyCemFvrCZW/jvK4s3cvhYIL1AWdbp4/iFwURHP4M+ytNuJ32CFtKb QyIMk0ElnfBoyCX+wINKCPtGfD+4Dp1DC9886UwnnIuZBa39FfBCS2LTvw+D 0DEztaNQrBMey5V9NeP7BOqyzxmWEgdhXZedeRnqB55Lo6ZdKP9PBlzxarRA vML1waAm6t/9tfvMTYMxODrZlFBrRoFiRemPP7MxcPchMw7h/vXH+pM2obiE KsuFCH0ihIcvXHjLUw9dC6/0/mwjg9PdctsJIIJsHj2nyVAdrDQSRi7wkqGc mpD2W5MI+U0i2QvtdWDSW/T9BycZFvZ/HFq+QwCFXMnSyvM18FXorBfuX6Mp ukeXDeF/zaPF/VVKNRCtvnI2JYwEA5q5Ow+eI8BGC5lvPK3V8KCJ4zyXOwmq ZlujZhBv0Ze1qU/Af8+rI3onE/GWWMcvwiH96PNmCrbeSMBA6vGm/QIHKMBp vV+1EemjuEf8DLg+qg9MW1eK9JH8oRTa9wjcDTto3yOcE1/9HkHNOzHCOhrx aqXTPN/CauBwfo+kQzIJetapBOyyJ8DP4MGtmdPV8FQpjcDqS4KnceK1fxCO yTMK7Ba8MgqHXXtF5xGOJXF3PbG9T4C/GouXNtysgfiAKlXVBBLsnePpeIH0 kS4XHYch0ke72JjmDJE+kt5cFub/AwOPhlBLIcT38lMsvqoDBU7eH6/Yin8u V7KpAe5fvzV1rx76XN4X1Xrw92TqX3Bm4O/JCL1ZssPfkxlUkMsqlUH6V2o5 /KJANaz7Jz8oeYoEeXGWLfj7HpuPxf2ddq2C/WqzMvj7Hi7MPgy4X7n56Vma X/lx6PLD/crPdsWLX15HhbzwL+W8WRhEnX+aeGsX0svSJ1zw+UWPZKM/4vOL +NZ/eoDPL2I5Gshh/LkLKlsWnrQfaAb5b0UTkTuGoC0zu8uypQsmPA7Ffj/Z DIIOij72CkMQsIYzjms483cNZyTXcOb7Gs5kreHMGFEvqzCvE6TMpLW4rlbC xrrPWv/mB6HZ67cWpBPhbFH25uZdDWBqM8ZtZUoGnlnnjoV8IvwrZWFhtmmA uKIjvu8vkuH48OnY3vdEGGrUH/wa2QAL34h1dVfJYO7+7yC+TtIWdR58ndgd LHz4Ovu3Kzfh62xJHKMwoXVOztS74+tcyomLw9cZVn4+jK8zofWuHl9n5MHj b6XVXRAVZWvTI9sMzJ4z+pjkELCKqhenIR7752S3zc2EJnB0Ob7pLOKx2Ds+ ob0oLyVzTW/lB2CgLhizbH6OAhPUuQc+KO42depENYovhHfn7UdxjrkEuzNI d73u0xYr8Uf/fXPnaM55CmjJtSdvQDrrtX/RrLRuHXhSU8Vb/5BgbkY25L4s ESI+j+YFJNSBY3cB+elGMrxxvBk6u4kIqlRtFVWpOigTl6+smCCBv2l2dzTC VQ2TlcJAhKuk6CZPe4Sr9vYXNVyPIr2mVr3l1kodLAxWLD0XIMPZ3h97ypKR Pm1/2R6I9vk7uUQ3Fu0zks7scTWKV3K2Zt5B8RuRf4IjUfzHheM1n3D/uZzS iOAgDEqT+UQGzZF+kfp96tlSJ4yo7rfPDq6C/uTk2EFlErziGOwCYQIoMp50 C5iqgodTp2L5dEnwozf0zCj+u4PHb0NGHyB8vYjU8Qmk0509Q2rKcL+T0I9K 9zHgDd4ipGmA8E30aPltFF+X8dhTAMW1DMWszVC8vEnyXOIy0jt7T1d4PUb7 P5P/TVeJAgxnNPwMkd65zvY8kxXhJfeduGh5pHes27Z84D+DdMOFdR2fH5Ih 6eD1xH/SVDjysEW/KoIMh+2OybliZHh8clZM7/+HX20ympqpeTcMn6t5bioh /mOS91dxCuFG2K4DVBWzEbhR0VFp4TAGpmxJWbFI53ZbBPuESY5AiMne+6a8 Y3Ap4rew/R4qqKnuHM78PQxvvobVmlSMgm26wzllpH+NG5NoOHarzJSGY/yJ vTQcM/KQUC6MQnxba4ehfUgNSPWL+FFQ3ekpVMocCieAmnL3fq7rNcDQP8Ti EE+Czkux/wjGRMBaj2lE76gHSXNxgpU4GZ49eTPZdo4IdD1pvsf168FFV1DZ ZgcZxJs3nFBwJILz/ttiBYH18LhAyldxNxm+uW0eG0b5uZ5ZGNM8UQeWsYU7 Xf6iumZi4K9BusJkyPUI/n4Ri+0WP21j1B/dhI48Q3jEISYE0qh/OZwvsStF /E3+yqurlqiPelLYuljxuaOVZq5KKP8/XnHsPB6H+i7PdrFziAceFimpdsd5 YNrqc9RnbavPUZm1Vp+j7tUelr0URoRLJhOD9eR6MHZ4yb9eF+Xz2nNU7f95 jvpr8mnSv3AMUsc42LR9kO6uFht+bEOBLXQmYz92YDBrpWn60wIDrsh3UeKR qB4TjrSnXUb7TFwcanbBIN502pbRDenr+JX4o7kYiJkPf7G8iwFDvW4duwkF 4nd5nLRB+vdTBZnqhPQvm5HGXz2kf8+WSvJtjOqE5txLM31MlRCp+uVB6PAg fHS4lRzC1wk2LMEyrZUfYZjZYJdr5CCwfC5JxHmOdiULH85zPGbcfuE85zGT s0PoGQIMyNtla5agvuAqwZntQoJTJZ6zPMNdIDllLmae2Qx3781s4tYa+v/e I2pde49obu09Iqb8vdEjdykwmxNmriyJ6uJc8kRiN+oLv4b0/w1QQNtMSjnq EKo73+7pppcUOOznXP79OgbjuQ47HtxA/bpb9tAZFwocJY02yaD6itXxsMGf J7BZlVtoofoKCgkUv61MhazNG1QbX+E+1/XNmwXQ9VVcaRPmVFgaS/c6XInw 5j3nMIWRAqXxjwwUMnrgOqPSDstTrbDdxyuiwW0YCBas3t0VROjsb/qbnd0A f1oiWxedyVDi1891HsOA024u1w7haxaB38AN8YEc9kSv1EkMFlXPP5NKQ/zh 0pS7AOqDwcy5wQIhBChQ/rKcfLEGsib2f/WOIUGKcyad13MC1AaX9Yn31MAN tVTFJy9I/+f9V7xtykj2okLuR5W0ziYM3tWWcpbNjwPHEX7f7TepcGVx1oru MwZ0kybbdy2OQx7F8ddwNBWOPzVN+NWOgXiuVnvXxDi8XTuHG/9zDjMn91w6 db8byL16F5xILbBlh47YaPEQ/JybvOnZRQSzJqUtn2cb4I771lfx/mTYvHZ/ /67dX561++uasSj0AunbJQ3pESl3lNcbo0iEawgPjZl4SD3oPF/oWkcjHWbH ZiKgexDpo9nPu3Yi/uAr23RlPeIP5lsyImIQf6B7+fmQ9SMCKAcXDGdk1wCx 5OIJxkwS7E5IVraXJcD53BWWWqFq6LYa0slEvGXsoVzlLYsRSISihPXXxmCx XWokE+Fh1dv9J45LjcBeSrRJBN8YmNzaFXQV4aFdYw2Nb380lvDC+faJtq/e ON/e4zZR2YDue+NLb6176L7vvVcVpIPu+32puBNZiG/ZJ/wo90L9VHdnEucs wpPe2Dqz8XcY9Bw5mRaD6v7uv6h7bIYUADr3BV90P5jonlYKIJwoKMdsM49R EM96GH75KRG+OVwtL9FtgBtMW7UczpGhcBoTjLpDhCuKueW3ifXgVJby2ugI GZqrnLhbrxGBSzDOxTGgHtSZP+dRVclg2Shlw3uQCJnq2kOmY3XQazenqcRH Br1jb/32oz4nVP68LB/hT6L/o/1cCH/2hmzXv4xwr7VYSM8e4R7RwU34MsI9 8m6iTzc6932HA3/g71N9r+HWnER83qw5QpdegQhF766bPsiqgzujs8J8m8iw bTvDl1sIlyamre47IlyyguKj82cp4LZ235f/577vm/f/ofQcgworV6V16Hq2 B3RK9xGOCRDyaw/j31N8dWB6jfCb/HP4Ov49Rd9aPY6u1eP8Wj2OmhvHkHcR 4dBFPg/mojpg9u/b/Y0J9c+H/wKTzAjQGt3DZFVTDS6WC9X+N0iQqxHzW6q3 C/YzJwmaejcD5/KlBzZqQ0BaW0dpbR3GtXV6HnPoGaP7vaj+I+wN6hdtXRtl DREPkRIhJhUhfcSTaLWlE/UXLPJH1xekj35fCOz9YUKEh93hGx7tqYc4JtHK 3VJkeG37m/oC6aCrZfES23nrwdvkEgfTdjIExXwvrjVFeBvx0vN2ZTVIRL4Z priSYCWV2WWHDQGa868ZCo9Vw+6wgW9ULxJorJ3bp7VzY187N/fUE31R3wig +ntDHe/FWnDdFtsiXE+CZ+Med0NyCWCW4CHwpb8GpN8YPrqQh/qywG/r5FcE EDEl7j6/VAMtLG0dVcUkUDZb+rzcgPC3jW/+USQGJWfZOPV1KfDNQLDtQScG fxSttjbFYjBtU/gh7xAFXGSKsyPakP4ctdNpisHg3NBWpw2HKdDespq3+wqe 0/L2buZq3qZMN+WEXCACs8yjRAXzetBXqPizLE+G9VHVGuKIl/Lq99hlozqy TViuLEd19P3QwOgftO7+0dLr+DzAvPq7fuwXKGBAXV1HlGt1nR8yq+uIhL2n V7tOhAeaV86/iayHUTF5vQ17yIAdWs3/nLLV/H8QuJr/DzJW/66O0erfdYpc /buXZ3ekNdIh3ZstXid/EoNnHlaV4Y8p8NqC+bnQFgw2HUuPTzuDwVMF8tXw RAqkz9edV5VAOKDbiT01Q/1Kqz1cJIYCK0bcr4zKCCDlo2igsqUWhONDBHe+ JcFC1rZU5yl0X7KYb/cQa6FWXXAd5TsJ1POSlIZGxkGRI6RP7jfK+xJd804R VCd7xTMbPShAuNDYIY3+P4j70fPzPylgHknoSA2hwIvrv0WdEd4emU84erT7 v/EzIvD4Y14RKnz+af4mOx/1qejrK8fEKFDCzvlvpwwVZGz0Xc1eos8rXFiU s40Cljw+Gt8C+uDDhsP5TfEdwKFy0/hY/Qgc+rj7xOyXHnBeLA2dz2gFL7/j 5L+xwzA1dRs2pvUA9rD+SIp+K9RKPnqoc2MYNmtqXXtzdRDc952l9/UdAOYE x/A2ISqUzB8VnqIfBG65SmJf5094zf7PYBqfbzsyEVJ4ahCM9vxUzTcegB1z 9/M00fUMOrm3jpMRz1b7rPAG3bc5FbMErv1I13CGvsa/33zsaFSIf7959+Fh DMcNlSSd38abqCAUTJ/xLhsD1YGQBKo8uj6fTZ/sSwB6lQ+XYrRr4LnMBqf1 D1C/wGbaUhBuvG14/vAKwo2w7dP8QQg3nBpy/T5wEGBPg9bvpboqMLEIRDqa BAl5ag/9azGQ5xOqdXmIwUz3q4L+4xRgjTAJf4z0BdONtoOtKO827rQbYtZH ecsVaEjX0QUFXF+e+V5sBis+mbzzSkOgJ8i4IYlpAPzfh2dnHPsOyr8i5dyL KXB7240PvCNESDtbr5myoxHuHLou2HePDP0WCp59bUTgfsB5+xi5Afi+6npm +5BB9P5gpsVVIuy4srnF3KceSno3qI+okOE8ZW5lm1kXPA5aydxR+hm+sF92 oetFOClYIJs2SYS31rOT+wwawVFIYuehaDL82fhj4A7qL9wH6f7Y+9fDw/7l 9reov0hvVGkoQuc+cbjudweqF2bZO2RfVC/xz33cWtpHQH+pVN5MYRzMpj5I W++jwmUObl9rlC/J9Z1Z1lvHoajuYyo/igtzXtI6d34E2CKoH5+6jEFGYmtV MerLY1G5+wr4qICd7hkJRP0k9ppzoJ8U0lM2HqOmilRwK80wsEd8/9rlGc0h Qcp/9n39ow5Kh4Y6weC5p8a3nVUgaxnpUi5Kgvx7EBeT2glnt73dF6JWCVf0 zT9Y/BqEvqufQmQmusBbZ3ydS3kz2LynilccGoIAp4fWdUhCSs2pS/fENUPB hfXMFXuH4EFcbx6hqwf0wxy5B161QgZI8CSnDIOs8B2L6++74Se72PaOoK8Q 0SIybNQ+BH/PjJYoI/7+4Gqt7Z9tGHxdGj2D813bjfXzn9oocHoL025fLaQ7 RD3s0kpR3f3H80NCTXm5YzfCGe2Wn7yILzGZ3LP4jfjSwfxHzp2jGJhKfF7e g3Rzgv+/uM17//t54LOpl1ua0ggwcSzdaOl1DeT/ZWQXe0ICbsmoElEXAvwA w7J3XDXgbNReejaIBJsWVvJ47xCA3/lEcbxFDej7qkdxRJOgd/bQw/EBDK6c DHUbRzwofQPhl5gWBeaUY/406xJB8b0373PGejDIDk86JUQGX5+mT7i/0Y1r Fbu0kX63XJ49thf1zeNdQpulUL+QffnclolQD0/t6NwYUb9wFGq5bhRHhJ7Y Jv9jbA1QIXTA2vYUGRzmBqvksogQc0pM5bpWA/j0t7CLWpCBL/5gjLMwBk10 93lt8d8dJO0hyMRToEXiQwVTKdIPzzDDtHuonzQ/4TM9RQGr4UgXi2cY/n1f 4ds7iA/HkQ5iqJ/+nXYLY8d/X9eVKZOO9tkUfe3SR3MK3HDnNj80TICg49yt d/JroSvlR68lgQRmj7ycHz4jQOilcqkZQg2k/PhgtJJLAsqpRdmLCQQgZM99 25OM+qwr9gNLI0Gx493eM8pE0HamZrCX1IFmI/ljOzMZJpV3EF+guIPbnUzN 0jr482xEnoOFDB6vw+jC5YnwSceJi5JZB/4P6eMqGcmwg3FqphTtfzArIoyI 9i88dvJrFdq/xI+hqGQUJ1fv4mpB8aKLv+9+RfFRu5bATFRXItdtPnsh/hB8 xtl3BPE06l65ZJ0NVGDmZN9shfQURz6ofVKkQKzA2f1lBNSP3x5I3Yl4Intq xitJ1PcluSefbhJGvGXnuuDKySqgV3za+OsYCRjVxVL/PiVA9bFwX7vWGmA0 qVz58ZwEGXl5e/C6Do24M4zXddBejWC8rh3mDSXxOnXqv8aO12nKFIcDXqe5 vpYyLI8JIMfopX2yogYmI+bvXX1KAlnVK0RdtL72V88C1q81wCKWHW2H1k+T efjavAuDbPU9su/RPudufo6+qk0B9X1nDs2g/eu/0svURvGb1A/SLGj/v1NX +TP5USyNPxtMNtL4s9r9hh6iFREkt+YyGJ6uB0nm8z5f5fD4Kk/2fr3Kk5Pt VnmyzxoeMh1ZxcMhmVU8HIjJbtuwQIHicz0T43oY0LfVMMdmU+CzR1d55GYM +ts+VNUYYtDp11HGnk4Bxq1JhaHPiDAPt3z5TzXAc+3Xs0PnEa/m4L0a7kuE hSVO4aSyetC4k25WeIAMaeLcH5Z4u8A8dFPkuy+N4Ops5tb+ggwZ6T+nvtB3 QdjMygHviEb4VfvxFHM6GTjbXJ/AbQK0Sd5jaD1UA/u6BTO0Ub87p5OnWd/Q iXjg3ZKq5kpY+KIU/ZYV8cPDTGobiZ3w1n/FQ3e5Erh4L9CV8SPeEmDS9iaG CKcH0tLzNzXAkUKzC4cMyWAt6ya1PZ4IFqm9FhycSA96N2r9QXXKqLd7Bzeq u+Rhlu2ZuP9JBenUaVR3r7Zc0i9FuCZWDSPyoRhM5pJ0M05TYHJNb/au6U2+ Nb35TsXveHNpD0gvkzSdvFrhuTi9y8U7w7Dsad40UNUDektfBl49aIXoVqlc +QfDYMQS6Htq/U9Y/pd4OLmoB3RPMkouao3DJtKOv0sKA5D5Zvjtm+rv8DR5 4ZoaGeGA07vNc4kDMKkt0NMr+BPyO72+x3phoPaH49vgeDc0yGQSJfi+gcBA ZO35P0OQmnv0bod8Nzz5GW5mnfAFVK4IMjY7D0FmnpL/9qQucPn3jrssrglC zSyzFhmHgKV9atI3gADGJ0rPbzGogXUvP8nde0gCn+hZVpf7BOCdJybI3KwB e07Cnb0JJOhe09cH1/S1/5q+1o3fYy12DO2HtHjE+O8XxJcjohYDh8DoRLD8 6V/o85TbOV3/2gVafS/Z+X3GIDFYjaHD6CdkvXsaE9PYC1N7z36UejkOWRtr 9jw71Q27b/Y2uvC3wO2okLH8sCEQ6bpjpQXdgOW+inIgfoFu31NzH3yGgNDI Ot7BSgbhF7xFerivWJtoqTnqT/8VfxGotuXVGBkMzsxQHt4egvPp1P5zclRQ JmzhTgwdAkbHuMA+32HwcD2gsKT4f7+e4eHBg+42w6DB71Yu8mMEVIHl9DpV KmgEbXDL3UCGBy1jsVFsZAgNktGQRPvhO/rO38kc8dNXxdz0X0cgYSn1c60K Feo543P7+Mlgy0Y0v6xABi2eyAO4X8x/+cL8l89LyM1kz+MbyVCjlVIYzU6G mNMMP2Sk/js+5Sl8s1d0CGb9oz987hoCD/n7j7LlqTD+Q6nE2XAIrA7OFmWK D8P5oUyXNwpUkBRpkmZGn9ffeM9zt+8jEJNGT1pC+z9LelW8znEYYoKoH7ux EdAul5ZXRuew84+D/sA1FBfep5+D4kV0E25KKJ7Vebw0A13fOJ3e3UNFfC1i Y9tu1f+ee2NnI2j1XIEAJyUk+WLlqiEhzcEt/TQJauxrjtQvY5CaoG57D/XJ 20TrZlUlCqSln9UOmUb90itgsTENg8gjEsyghnjIoaDw0e9dEJAkzeoQ2gzp qqPWmzSGgK8i9HKZORnKi0Ov9CQivKivChBEOgT67c+rLmHwVs5o8wa0/ts3 f06MofXBOq7WUZkAahtq/0nvqwaVByo75k1IYB7m4xD6qhNubbdwGgishMBF Q6HPy4PQ6H5g295wDM7P2amsR7rvn19DwRzSfV/Oi+66gXhYi5bXszLEEzSE voa8jqPA0Svvr+WFE+CxhekJf9cacL2gvqk4HvEcpwen5qQJwHr4hFYjfzUo BCtdSzckQRz7k9Py/Z1AWtEcLOCuAgsK1wY2IRKIn9vca2ZHANd9w7klv6th 6ADngrsPCbZ0cA59MCDAi+zhRu7H1WBBr+ESfY0EuyIXjDUFMThl1xf/7CwG jc4ynFIJqP++2mxjhhHgY2FmZ2FVLQwHO/Vn9ZAgTGM1bsqYQYuL7FyNi2RE visJ7oKLX0ZFqk42wbZZq5Qn86iPHDx4nE4D9a/M/ifx1hiIMj1ZbAmjwIm7 nbNtnzAg6qttvo90yvDPbpID0in/7zo2/7MOg+BM9vs8Ilhffi5VYNUAQo03 qrou/Pf6U6qsiWOKRPAfYbkpk1sHi2x0w1c3k2FAdh66n2MAGw+v34N4yCOh CdWDiJ9UryxwcysRodufXSG/qA6eRsWSfzORIWAtPu23GvdYi9NXXRwx20oF rucTJLsXGDTnqWrqS1Jgw8aDd8TQ+l/lv3EtIP7DKFHJGYPW/6BT+bL8B+Iz 5pyVuxBfvVpLuSwEiD9HBI1scSbAYnz2dxH2GkhbfpicEkgC04wD3fJjGMQn iEueRbxaZPzrtUFNClwr/PhujoUIL/ds1xFVrYPCa8cOR02S4HrJlzLBe0h/ Rce81R2pB64vV74G4d8LXO5+UY7yUEAv9YMCysPclV9KH3HfvbV9Etb2uSS+ uk/y2nx+xf+Zz998i8EZ90d7z+VF80frE/ei+aPJP59/raeC9Gk+fYUcVMPW +zkScaYkCD0qvZWyiPrs9JFHlEy0fxklESZlCizd5mltDUZ9/FNQyFBHPRi6 XjrUfBjpO03J8I3JBBg8Xfr0R04NKD+Dm96ZJAiQ0RLwfY0BW+Bpk5owDJ48 McV8jBCfkZK19dchQq1bfeHeP3UQeEdTKXELGabEdwfl9WDwksSq6I90yluT c/cvIJ1S/fUPm1RnF/wuk8v1sGsGhut+V+SVh2D97iKhnHAiuBVpPX6G1cPs 3jeFScfJwKqtw1PIRoTdu0LSeTXrIGBDllntFAlS5tsvttzAYMT+5A1lN8Rv OdLVPJwp0Dl5TCYZ6eJxV0MrW1IDaFyxivJAuvjMtTvVJ+QJwCgq00qUqkb5 wnMj15gE0UVC5zVXMPglcbPuJcKZef/2fXQIZwTsIwqXEY49+df7dRKf5899 /t5mhGMKW/fQB3RisBmm2+tikd4pTr9VjPjkVNy/mbZLBGB/5yVAHamGwjc2 Z156kaDI2qTGHvFew+RB+6uI957j9uFJR7xXTazab8twJxzhGFh8o1wFh+O9 zY3FSHDC6M2nv2Wo/o988tW+j0GedlCKuAEFOGFoawLi5zqXE8K98Pcv1vEc fIT4+dW4l3VsQgQoqZqLtZyoAmcdfvkDiIcvOp+cTvjVBlpM4qdVYgthkv/3 Zi3WAZgd4ZF7gXhYBTFYuc0bAy0WbnkNWwrMJtlm3AnB4KwAb3Qt4j0+2n2s j+0o/zmXsvRb913cV3Fv5MkC3FexiNX2Lu6raO01bleQS4AOtdd6p7/XQNPE CuaTR4JfQelleL3M6OYcx+vFxuLREbxeNi9yd7C+wUAnyP3RDMqrP49Z+fah vHqmsPuCviARRL4L9P+1rYOypOysrAUSFPwVzjB6iUGNBfsra8Qb1Vv3vDZH vFHNddPtsFEivPDaufJsZyPwZqVfGAhH+ROrF7sfnSNPBb2NKaq7cV83cjCq u4A74kYCToh/u5ZH6LlikHJQy2ijKzpn6SsvBkiIb2/Y4e25vRGixG5XJoeS YZmBszvyGgaHdI+aNlzH4MhiXeIbdP0Ma8bXG0UECDg9Kf3zTw2w5bDthCIS jJsvL7VyTACvQv52KupjPtbO951LxiGbzvDlLjsMth3exfHMGQOujV5fIm9S wDyJXjcxlAh/WP0uMgzWg13VcMCNY2QwW4vP/E/8tch7sRBjAmjmSFYfLKwG 40a3M/ucSbASs/p52dc+7++1z0u8z/5Jpx2DVlbWZUaUt2oHI7uLdSgQJ2rz EY9TSO1LePwHSz8t/qx5F83f8LhjI83fsNNw1d+Q/2wmLysnEW78814w1K6D DYFfDjrPkOC8yHINhwXSUwUTTcWH6qGAfId0Q4YM3qrRYYfx3+G+3BxnEYBB TF/p+sZzSG/Knvh2opsA6qzvyq7718IjZqWIA19I4N2iLm401gnewd+EqPur gD3pV1qCBAlCougnheowGCs3pDx5iPIkLDE94TjSC75WihYPiHCgi8QcN1UP hfcYZZv1yHCzSkWahPSIxDOf6XfcDaCqHLpy24gMXhrn9pjwUsFT43MwB6rH xTgdxa3SFKhoEuK/f4QAt8CabltgNcxndPUJ2aH6bffYGPkXg2l+9g1f0jHA QujZSKoUSGQfpPktNrmt+i2OHFj1W/yvunvPZPid4TMGE/+WN01HYtD9q72K cAzpaJuutgVxIujqvzeSDq4Dy+vJieV0SN/pBo275WPQY0RmuIbqst6q1D7r DAXmU1ymXr/CoCRtT2IAqpe79mUJBFQvy3sT3z3b2wWx5Od5JYafQWm78tMT dWT4Gx6gfflIJ0yb9nNdYayAnqi25S3Fg+BVoPk2lYIhPtt/RyoF9Z9/n7w/ a1DA5tgNmw9Iz162ifbqQnq2+uIT8VtIz85kSOT4IH5gfYGzqQrl1cu6lKk/ lyjQSzpY/m2BAA63rA0852ohVtA6LHAI4dieI1eOC1DBh6i4pRT15dwP/l4D EhToCNu9n6OBAN9e5ykG6NSC2wSLuXglCT6lOr/70oTytj6v9F4UBmFvLy8y ofPJKQoV5FpAfZHzxg991L8yRlwYvqP+tV7aPx/HZx5feRo+MxJ0w3F8nlT4 IGB8EuHwP4t82dRqSF7hlYu9SgKqWMcbpjkCbH+dsWBKqYWrhRNJvYMk2FdX Z30xjQDTL+Tlol7VAH21pHtXFglaWlUMI7sRP+hVdhBF93lj4b3vP1H/4mBh rsDxWbi/l4bPSz2WNHxO45/Ow9fPOlbRh6/vs6MoBl//v3CAcHM1b9k+rObt YvBq3rrzyvQwtnUCV6pwwC+sEnpH0w5p8JDg+M2WTEZhKjgN357IyMOAZOh3 JkecAuuYVJ/geHhe+dprHA+lFWyKcTy8VrS8qIbuo33R3BLuJ9Lzwn0E9xNJ +nmllO46Aap73hfV8NbAe51LUjNBJBh+aCCc30CEn1933umvaADH8NPLPjfJ 0MXaN1i7iQikefGIEMk6YEwr60udIEHkhj0ZvB6Ih0wHGx6/iYGnPM++FUcK ZEoweIePojo9dfSMCKp7Rkpl6Y69FFDmf6pdl08ERY/hKsNLDaCA8RBjL5KB dzFIF/c5faO37Q7uc3rCbeIx7nNq9n21T4V3rPapBxyrferA2jzkkm2r85Dt 1uYh1yl+pflzPZX+pYr7c+U+nqT5c408zVq+/oUAlhdzDu8xqYVJYZEcSg0J gtT+Gl1BfSfjXLkrN/o7Igd/ZXOhOjr1r8ge0P5r/er+MqD9f50pbD6B9i8S dVN6FJ1bC8euTcNbasCNPlUgPpgE9/IYpW3Q+TgNF75UkaiDA7Wh8mbofM56 BU5GlmBAPi1VfBOtT77w6lnEKQqoHjv8rfQ9Opd4f7EuxAdXen1vF6P8mf7R RqeNeB1XfNyNQsTrTP2ltlgjXscc9/LX2RsIh29PGAgl1oPcvt2HgzTIsMPB hzb3b1Jvde6fpfrq3D9NTx3aXL77e8ppc/kYf9bR5vKpO0fQ5ol1tn2jzRNT T1mkzRNL1VqdG6Y8tDo3LL50dW5Y/RcW68DeTrB8yfRkiLUKrpvYPB0UIAGd nG/oMOLbd3VMGuNQXbNe+ajBhvg29yUumt/QT8/gE7jf0E7lqzS/IZev/THh p6igVcArKvERA49G85siLIhvGNo/+MmMeJrXo3mjXXWgM/bcsvk3CezCT9F8 Z8TbxWi+M96XztF8ZyY1V33bIW3Vt52uaNW3fUAtmubD7mXaIYj7sG+Tv0Pz YV8cXvV/36iw6v++6daq//vbujM0v3XvzZo0v3UXez+a3/p/+exIaHuL4n7W 6rW9Sbif9b8HobtxP+tZ3vVVLmc7YPEJmaEn7B04rCuPv755ECT6SCTcp0Oz jcER9+l4O8WXgvt02G3TovmD0KXtpPmDxO1MpPmDdKe7htH8r5X4Wcs9ayGq luU77n/9mjFlL+6TvkFD0xr3SVe9FFmK+6Q30t+5YO6AwTF5l9fWLoi/aFZ8 SnSjQM+t37JXBxFfnThnwovqPnw6wGhsPwWOOKnGx7tSwW37pwWZRvTvnrh1 GC2Nw56Hf1wYrYjA1ThwxPtUPfz1K1+/X44M7xV6PE/N/YTDF/Pfsm/+Djk9 dgE1ieic9diHxVGeFNxe1Ft5hvpPxrV9oShPOOsUO+mnO2HidaZgllUV2OQc aLCXQ3Wh3yh9GPXZu99SbzOhPrtFkPuIKOqzBocU93elEEFvFKyvyzTAirFS V8FZMpzCFkQikP7pjB3KFUb8c1cTKS3InvKf8aCGwk7tdVRQKW6axf2hPtwq rLyHeOlFBqx3gY0KDxUMCJM56PqjhfumZCnQXplYKidLANvq/N1/BatB30bJ w+MUCdQeZoS6h3ZA+Vi0XOXQe3h85nR6kvwgPOQRyi6Qo4L80MWmoCIMHJ/s GuQTRng7ZHs6ZrETGMpkFAf9q2DkTdbodmUSiFWorJ936IQE0x/VSX4V0Oam qXvp8yBsk4ptLgEqnNlXPKT0FoOAlrRbwjwU2BrceqqmFoPi2+XnQtD9Hb/s YvwJ3d/QZ05Tw3NtINTSr0ZkegkTd906G7gH4O+hoaztpzB0fpwZmej+z7zY ObjOjwIWThxaVAkCfFaK3qzKWg2Go+oD3ggPZR9RPnoepoJwjMFVYYQ3j6Vm JcM4KXC/+LH0ST3EJ/QwykvEQ7dgk3IpAagvcDWsT3Miwm/VOKOXIfVA4pxL V1Ijwz8NdtFWxAtZ7+nfV0U4/c//g26+Nbrva36RK/dW/SLPrvlFGjsNcSQ0 USFllGEdcRiDkB3G9jc6x8Hy7kvtT6wTcCaMqXYY6VHOk7/WfSsdB0bXZpof luW9kzQ/LPHtSzQ/rFHNnzQ/r/LsVT+vv1mrfl7Dlg2RuP8UwR4+0/yn1OV3 4/5TrERiCe4/5br+hiPuP8V2zbgd959itXYXS13pBOmafbOu4VUQoT4Soa1K Aq3LQvwLrFTg3CKnloLy5Fg7pmO7gwKGLeqmhdWd4DHzKoClrBI+hEzvlGAi wc0lb74aUSrsvdR9YHcBwu3ObOlQUQoYi/e9LlRG+8vl1fA+j4FMR9HzrPsU CE+OiA4+QQWGn0FT7h8wWBYU2HyBjQJ+toU8BcbdYM5xKf3WthbQ+ef+fWv4 EEQxu+8Cn0G4En3Zjz1xAF5RPrCroH7P/vHN0aiDVPhw89P2byh/EozdRo9x UyAk8/oXi0ud4HT6+G/uaxVwKbFb5XrdIPRpK2qZ9RDAytF+J39wLWyXI+5e Qry6ncnu8DHtTvC3UP0pNPUJJjv/iCoXDkJJ0er8fyxmdf6/rubq/H/+Q6vz /Mvi1ub556zO8x+8dkckMogAhovX2E6crYHZ/JbG5Uh0v9Lr+R0yvsPwuewl 9SNdsJ3QfTVdZwySHTUj+08TYH7Q797oq2qwIP9clnchwcy9vwOdk0iPHAvy 0ED8jc1kuzKdOgVq7TeRm8M74TiT6qWSuQpwV5Vy7x8cBIt/226EmnRC0v5v LjPaFTAlwX9f9OMgvIvZGWv1nQiPBj2nDFka4X5+0fsPwWTo80m5/4N/Alpt H2keRTixniD8/MircXhcZ6NT8L4TPJO0ij4kV4LKyWTpb/Qk8NqyNKXZ0wZz Uup2TFcLQLiU9bzm8k9Izd/EWy5BBW9PAwaVQrRfjxFNFREK7HRzrE8e74Sw A46O9tpVcKu6R89PkgTb1V3/dZwmQuF7Ob+NivWQPJRgxiVBhoD9z6+cTsXg 3QPdY8yBiK9ZCM31WVLg6XPDk/h+5Gc+tuP7OXUuVhHfTx/lMa3vzy5+pPV9 g8dytL4fqhz+O9UF6cFtDaFPIuph9DL1cpI6GerLmoVl8DoVbt+5iPgDG4cT 3Tyq013UiSte94hQcEVhIXoU6bKQCfM6XTIkbHpRcCUc8QrzXl8CpR6UPdXU nY+j/phimR0pRIR5bYP1FlfqIE7hXufdRRI0n3Wifa5x2Eb7XLvk42ifq2p6 kZMqT4TALVJ8B7LqQP5EoT/DJjK004fQ9pka8462T/tb47R9Rizt/yBmTgSx sXYmjwP10CMZltgsTYYbUwy0+A8/Hlr8lvtFWrwhpUHA8hjS9RyCDk/X10Pa BodzJwXJsHu+sSkI8d6t0SVbriPe+6NxJk8H8d7w3S9p55zzU492ztv2baWd 8zXrXhq/6r+aSONXukViNH711KSRdm4RC620c/sX60w7N9sv9rKxiP+JWot9 uYl0q8Vlj8ZspFu/tqvddUX44rIc33wlCAMl0973GyyQ/qo0pl0/+VKQdr2G jT/ten72Uh4DxPNcNyb3bkK8JbXvRPkvxFuY91heTkPxbOsVA3EUZ8xgVmnG n0s/7aHNZ/7Ez06bz0x3/jVtPrP+2vxkg7X5ye/X5ifP7Erf2pDTCQ6DfLIb zCvhvQcPMeTvIOiYGb4g2iI+KZ9rfc8ZA2dPasHbm6i/xFW6by3oAtPN90bz vjfBFn7L1+/5hoCuLkTKWgmDAbMpI2aEY9q3+5Y0HiCcYRO9LoP61K6p+IvG qE+1H3ots1EP6dC+Jw8FBvD5it/5cZ7mt+HdNn/E0wwkel+GIx6YGe18XxLx wKCPKmZNiAeW1WbSrteI7KddP2/3fvX6kflB/LlBD0lZ9dWhergXmDiHPzdo MPSMwZ8bcH86m4g/N+CLO7bcgM5Tf239pLX1A9fWl9dpPP1IhwrNHX+g/R3q q9+UP2Oo3z26lH/7rQAR0vrMt09eqoPXE+br9i6Q/nPO6sZvqz7sY/WrPuzE NR/2/se2NH/qyLBomj91qaYhzZ+6NZuVUfIJAT4doldNqq+BLsXTfeQcEjA3 BXk8J6K+WBjM5heHgW/Nj/n32hRYXPNnl6tf9We/vebPLkmNKzFhoYKrpp4l Rw4+B85USlSOAs+3cV4wnsPAqlgg9FIGBsyMTV1bUD5MjIsu4H7iA34Gc7if +LmtRZdwP/HFv5oPcoKo8Gu5aLy7BQNz7eSw/D8I9/pWv08JWvs+ZXnt+5TA zNvUNqSbTgmpmqtY1IOdfnGfigIZKnxW/ZT5x8tpfsrsPqt+yuprfs0f1/ya X6z5NQ8XfXwag/jDRcu9J+4j/hBJx2+6A/GH6rAFKybERx0PnBdORTq0Q4iT 3IB06O7ZnvAOVHfJEgwvd6P1mLZ1VL5Adae3ZJ49H0GEJwMVp9Xm6kHR9dSN XyfIkH+284wY0lHPC5WjniA9KHNd8pY70oPlY6vXZ6WuXu9ss3r9vf2r1x/N Wb3+qs/q9YGX2euibDAQNNz7ShjVBU+MTOFxd7QfM28nPx4COC+/8ePqqII5 rqGlX9okuBqh5YzHD7VZBuLxXB2nZTwelNrMxMdIhSZr91SDbAyk+C3W+yhQ 4ELsAi2+lekuLT7OcoQWDzh7gDZnNbl4lDZnlaOY7iY+Z1Ut9kEZPjfVgn2I Njd18pcLbW6qfVqUIO5P2rtQQvMnzXMNo/mT9r92+oD7xoqXpXnivrFns06c w31jpx8qVj01QvnTRRcZiOus87MJmcyoTr37bZT6CPCu3YIr4F4trFxmYNb9 SoI2WS7KCOpnbNEPhPejPCRM7A28h/LQpWvn/Ts6w7CvdoL564sRSE57iR1W oQLzd8vbSYhHmf8Z0rdDPOre6W8rgHhUuz/h+CLiUXy+jSk4j7prwFFmg3jU RMYBetyfcf96r3Tcn7Fx5jYJ92dc6G4QcD3TCYf/Th8p3lsB/d7r6HI/DEKF a2Ub7g+YfbyfEfcHDPX5sh33ByxwK5EYvIzwf1FSQNOjHhye2I31K5Mh9c4y La+kwYqWVxl17LS8kn7pTsvny75baPl89m0eLZ+fdvqpX0DnyyB4c/Ydyjdj 9RiWf1YU+Dg39Qb372Nz3/kvvaoe/omnjuL+fQkhQzQfPa/LIzQfPf2uSZqP XrY3p4zsESpMFZiBKeLVbbVfhTURzpxvs5U1VCFCwC0ZVvd3dVCcdPt5EAsZ /h9hIMCY "]], AspectRatio->1, Frame->True, FrameLabel->{ FormBox["\"Y\"", TraditionalForm], FormBox["\"Z\"", TraditionalForm]}, PlotRange->{{-1, 1}, {-1, 1}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{ 3.443936905*^9, 3.443937127015625*^9, {3.443972179640625*^9, 3.44397220009375*^9}, 3.443972263734375*^9}] }, Open ]], Cell["\<\ Let's try an alternative color mapping. Numerous built-in choies are \ available:\ \>", "Text", CellChangeTimes->{{3.44393691184375*^9, 3.443936932875*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ColorData", "[", "\"\\"", "]"}]], "Input", CellChangeTimes->{{3.44393682871875*^9, 3.443936836078125*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{"\<\"DarkRainbow\"\>", ",", "\<\"Rainbow\"\>", ",", "\<\"Pastel\"\>", ",", "\<\"Aquamarine\"\>", ",", "\<\"BrassTones\"\>", ",", "\<\"BrownCyanTones\"\>", ",", "\<\"CherryTones\"\>", ",", "\<\"CoffeeTones\"\>", ",", "\<\"FuchsiaTones\"\>", ",", "\<\"GrayTones\"\>", ",", "\<\"GrayYellowTones\"\>", ",", "\<\"GreenPinkTones\"\>", ",", "\<\"PigeonTones\"\>", ",", "\<\"RedBlueTones\"\>", ",", "\<\"RustTones\"\>", ",", "\<\"SiennaTones\"\>", ",", "\<\"ValentineTones\"\>", ",", "\<\"AlpineColors\"\>", ",", "\<\"ArmyColors\"\>", ",", "\<\"AtlanticColors\"\>", ",", "\<\"AuroraColors\"\>", ",", "\<\"AvocadoColors\"\>", ",", "\<\"BeachColors\"\>", ",", "\<\"CandyColors\"\>", ",", "\<\"CMYKColors\"\>", ",", "\<\"DeepSeaColors\"\>", ",", "\<\"FallColors\"\>", ",", "\<\"FruitPunchColors\"\>", ",", "\<\"IslandColors\"\>", ",", "\<\"LakeColors\"\>", ",", "\<\"MintColors\"\>", ",", "\<\"NeonColors\"\>", ",", "\<\"PearlColors\"\>", ",", "\<\"PlumColors\"\>", ",", "\<\"RoseColors\"\>", ",", "\<\"SolarColors\"\>", ",", "\<\"SouthwestColors\"\>", ",", "\<\"StarryNightColors\"\>", ",", "\<\"SunsetColors\"\>", ",", "\<\"ThermometerColors\"\>", ",", "\<\"WatermelonColors\"\>", ",", "\<\"RedGreenSplit\"\>", ",", "\<\"DarkTerrain\"\>", ",", "\<\"GreenBrownTerrain\"\>", ",", "\<\"LightTerrain\"\>", ",", "\<\"SandyTerrain\"\>", ",", "\<\"BlueGreenYellow\"\>", ",", "\<\"LightTemperatureMap\"\>", ",", "\<\"TemperatureMap\"\>", ",", "\<\"BrightBands\"\>", ",", "\<\"DarkBands\"\>"}], "}"}]], "Output", CellChangeTimes->{3.443936836453125*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"DensityPlot", "[", RowBox[{ RowBox[{"temp", "[", RowBox[{"y", ",", "z"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"z", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", " ", RowBox[{"AspectRatio", " ", "->", " ", "1"}], ",", " ", RowBox[{"RegionFunction", " ", "->", " ", RowBox[{"(", RowBox[{ RowBox[{"0.01", "<", RowBox[{ RowBox[{"#1", "^", "2"}], "+", RowBox[{"#2", "^", "2"}]}], "<", "1"}], "&"}], ")"}]}], ",", RowBox[{"FrameLabel", "->", " ", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"ColorFunction", " ", "->", " ", "\"\\""}]}], "]"}]], "Input", CellChangeTimes->{{3.443936455703125*^9, 3.44393651171875*^9}, { 3.443936546203125*^9, 3.44393660371875*^9}, {3.443936698515625*^9, 3.443936731359375*^9}, {3.443936847*^9, 3.44393686828125*^9}, { 3.443936961140625*^9, 3.443937044625*^9}, {3.443937135125*^9, 3.443937138296875*^9}, {3.4439722893125*^9, 3.4439722950625*^9}}], Cell[BoxData[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJyNnQuwXlWV55ke0g0DOE1gKHmoECIaatLlA9IybXtQEwQcLElZOk5opBxo UbiAEakZAYmI00RssCOkW1NdCKTSAwGFkNyQBxzy4JUHkJsHeZFcbm5u7uu7 x0GNSnjM2Wvt39rfXl+fdiyLL/+799nPtddea+211z7tq9dOv+JPDjvssLuO Peyw8Dty8dL3/mDk/37ixuN/8co771Tl3u6uXfX/y93yO1LOnXjBnIkX9Bj+ meDVhg+T/z26EvxDTS/Ad+r3hl/R8g3fLel95RPy5wGrH0z9YOoHUz+Y+sHU D6Z+8I+1fsP80i7/S/vAtA9M+8C0D0z7wLQPTPvAtA+8WNtnmHH04+bbCfa/ tB9M+8G0H0z7wbQfTPvBtB9M+8Hbtf1FE915OvDj7vvhf+kPmP6A6Q+Y/oDp D5j+gOkPmP40rRtPx55u/Dz4fvhf+gOmP2D6A6Y/YPoDpj9g+gP+xH94ZSTw iZGLl9d847WnPB/w69KvA09Xfl58v+gPmP6A6Q+Y/oDpD5j+gJcGeKgy7PmY 5yt+Hft14enKz4vvl/+lf2D6B6Z/YPoHpn9NfNjzRc+H/Lr268LTlZ8X3w// S3/A9AdMf8D0p2kf8Xzd81HPl/y69uvC05WfB98P/0t/wPQHTH+a9iHP9z0f 9XzIr2O/Djzd+HH37fa/tL9pH/J83fNFz1f8uvR07OnAj6Nvl99HPB/2fMzz Ab9uPN35eZPyT3mlDH+c8kqr/BMpr7e8cE5IGCr3Sb715TUhQ3ervF/KW2T4 VsUFeLPmN3ynll9Q/pvvhP/tLSif8QefEeCcfvudoL8FGPoC8x3tPk9xAWZ9 gWkH/aad9PNqxUVTv0lvGof1AZ64qBjR35Jf/u5/Ka9pHEkH037GdYfiAsx4 MM6MB5h5B/tx9r/QJdiPs68HegYzzrTTj7MfV8bB9xvs++3nmfXCOLJewKwX MOslo9d6vYDpH+V7OqS/jDvjRLqnc8aTchgn0pkf+kU76Bfj0NRP0pv6TXrT OJDeNC7ZPLTtX35dezrweolf157OvF7g17WnY88v/Tj4fvt++n6BX5Vy95X/ Tr4btF/+fpfkHy4+I+17rbhKvttvv/ydfJ9VXP5EcUk6+Fr9zn53aD0F9VIu 6XxHuW/JeBwofPua6qVc6uF7MPVQL+X6fGDqoV7dbsaKp+T32RK8SNLvNyz8 sGtF0Vv/3vDRl2WdTfrtWMl3SzWf8tOuFYYpBzxTcQGmXPAvtDzD27W+gvr4 O/VO1L9bu3y9tN+3i3pJp13UQ72k0y7qoV7K9eX478BN4+THhe/8vLBemuaJ 9ePnDcx6AtNP+kP5tCPTW2rM9+Cmdvl2+O/YZ8DsM2D2GTD7DPj/t53wu+Xy 9222D4HfL/xstPyvkm+HtYP2gamP8Wb+aCf5weRnXslPPyiXdoKZL+ohP+WS P5Nn6vzUQ38Xaf+M/4Pp71Ttb8E4wL/B8GvGRfn+aEE55AeTn3LJT7+a+k0/ mvpJe0+V3y3WvqZ5pT1N49DUTzDtpt9NdABmXpmvJjoAk5/5ahpHMO1hXJlv Xy9/97/IB4zfB/W39HQAZtzQc9iPGA/mifUGn/L0xzgw7mDqOVy+f9nqYzzJ DyY//SU/40l+MPl9e2g3+cHkpx/0i3TGl3T0M8pl/BgnvqO/YOiAcnx/kGso h/nie35ZF2DmmXKpl3KRt8DMP/X4fPzdzw/tJ923n3Ej3Y8/7Sad9vp+8Xff H+aNdlEO/SEdOQg5lvn19l7oGUx/yM88U57X/1mX5AOzX1MOv37d+XzQGfI2 9A9/ACN/Q++kg0O5rZOekfnovasqeuTvc0Sv7u6qil+JHFgWYMbT81nwNyTj qzZv9JP+gD1/8X8HQ2d+XDyfAjO+vj1er/HyubdDIEczfmDoE7mZ8QTTbuad dkEvYOYPDP17OqE+5HLq8/K810OR32k/mPFDH2L8wI+H/w7sEb729LhRk89Y V2DoCww9gT1f838H6zhtLqVbF3TKeY4+yyNkHp6O67AqoVfwdMUFGPoFe7nw F1p+Qfk67psL2sPfaQd/9/UukPK6KaegXNrL+qF94FMErjVM/f+g9Vg7fL+f 1fqsPZRLe6mf8aU8+DL1wUfBSl/743gdsHWHvKN8ezTy/52G/738btd1dGar vC5k/8LOxK+ifKL03CoPyby8YvWpHHOgQ65aFvpRlxPo/YYzWx1yjpdTtfz9 Je0nny+X7xZre4srtb0F39Me2km7H9P2yPjU7XHnzZU7X66s//Ax1q+XbyiH 9Us68h2Y7/08/melI8PQC3yN9Yq9BUz5Xn5CTgDTL/gn6x07EBg+BKZ8cNO+ 4uX330v6S4aRd+BnrGPGw+P8vGiz0Sn1MX7wdfgx4+X3cbD2d8B+4fPUO1P3 G7OXkA4fJ53954/psewrfh8Am/zkys3t/i1bn+w37ANqN2oVPh15w8sptn7i eIHZv/geeQz+dK784wWjB+aL9n1dvtta0B7Wnd/32BfB7O+MN/2gnD+2T1EP +ZHzoDvGkXEN9svLbx4roSv6j1xEf1mPYOiN/MgD7LseM75gxpfy2DcYb9Yr 5XvMfFAe6ZTHvkN+1h+Y9cR4MN6Mv7ffevo3PSvSKfIY683LMWDWmdqN8X8Z jnyyt+Tv5KN82rNC5RmR+8pxo9Z/6J99kfkkHXonnfkUrvpGZfMDPzkkvwst f0+UD8DwO8pnfKEbv+7Ano7Y973cAYZv8B31sx9QDu2hP9AX+adHeYL2evpB bqQ9jEMsz+RZ2rVCx8fozdttoWf6Q3kXyQebOtYV33m5Bkx54GlajmHonXmj PtYFmHo/r/zL6gWTTjlN80Q63/v89BvMeJHfY/gp5Xv50Mu9ub+I+rvM2jkU 15ueywfMfogcghyFXIQeQbrIUTuHrFww5Xo9BLkKuY98YX3eUn8H/4Xfertr t5ZfUh+YckKuqReNmV7I/sJ8f1P3GdsXscfAj7ze5/U86qW9tBN+AIaOKJf1 QD+wfygf2m3yCfXAN+GjjIu3s2bnsm3+aMiLnLexD8Jf2X+pX+cpyYFNdrZ8 3+60k1l/Ix+mX9TDOHk7BvzOrwv26yY7HnyE8uBP8FXW+w3y9422/9Ju0llP Xs7w+xyYfc7L5V5upx1NclST3cbsunF8yN9kxyE/dOblMsYFPkK/m+RoymN8 m+QCbweDD3s7rLdz/DE9w6fzfZNeAGZ+vBzuz9+9vOb3GdaTt0OB6Sf5aTfp /ryddpOf/QhMP6Bz6A9+4u1q0B/j6+Vy5nt63Meb5BL4ELhJjqQ85R/DMb3X 5DJ+SUc+M7qM8wGfgR+wjukf/EL5926jQ9L5nnTkQdpDP9ifwX+r679RDgJD 78wbcgTpzCPpfh75bT9vvmDOWPltyf+M7c85X61Krx+zTpUMOuUZ2gkdMz/Q Mfm8XkH/fTmk+3po/xXa/qz8+VuSHwDfe7kTTD+oHwy/Jz9ykJebPfbjAmZ+ aI+X+9pxaL9fx7QPOYv1Qjr8i/lnfXk+4OnLy7ngdvqp22Pj4OcR/gOmHjD8 g/UPHdEO9j+wt7P6dOgTDH2CWU9gb1clHfrO/RwPmJ0NfublMDD8AD0duadJ LkL/h08wLuxvyIV8D/bn0aSDSacdlO/PhTwfp3z6yXfYT8G0u6lecN6vnYa9 nZJ6+TvjiDyf23lHOs6TmG/kSTDyMeuA79knqId14c+F4fu5Ht9vdhbqA1Mf fkjkZ/8jP5j8+EN5OZr62ae8XRa7APnzc7RR03exFzEuXj7ydrimfvJ35HTs Hrndr1Wit8B3wLQDvuL5OHoM4wPGbotdEzubzwdGb2Bc0etoN/2g3fTD+6X6 eaMdpPtzLe+nCvb+l6R7vzX4E/NCftpBfvpFO2iX99traofXF3N7cZ+NJ+WQ Tnm0y/v9sf+wv7FOvV5DP71cu7NOnnLPmJ5fb+0xeYNywZSLPAg9kw86A3u/ Vepj3Ztfnfxu6zhv9X6FrDvWby4PPrrS/HNiOymPdOR/2se6oT1g7+cF3/J2 dNpBubmfRMvsP6xHMPNG+72d2vtpgpv8MsGMF3+HjrS9m0zORG5kPuDTYOib caNe8jEf2F2Qz5h/6Jh06BZM/9kXMztRTQdg9BvqZ3woh3zwbzDzw3esH9Yz mHXHuDFe0A/98e0Cw5/Yd5kv2kc6/aQ9jKv5acX6GFewv79B/dTny2Oder0Q u7ekHxwwuoUvgfN7MwMqVxwcsHXn/a29nuv1Wn8uAEbuZB0iDyCvIOewjvw5 treDMg75vYbBOM/9No9+P8SeA+Z8ScsZLN8WetlXUB6Y9Qadsz6ZT9rr9RXq yflVy9pNPyjP3y8gnb9Dt7TH+3V4P3ry873fp73/vuc73n/fj4PnQ/4cukkv YbyZL13nQ2Y/AOt+8prZhaHTpny+HG93QL4kv/LpIbMTkI4egv2C+sF8d52W Y+0Hk049lEf7/Xe0j/bq+nvZ+Dfrh30r/r1A//Z+LtAb34FZP+gB+T3szbb+ vB8C9gLqYTz8ubgU/z09F5g+bsTolXLCepzRs9v5PyR/kXa96YTvRP+ao5+z etvt53W6+tMc/Zyz++105wjpnP5UbV9xqeAni/MlXzpP8ucCtAtM+uNS7h6j l/O0v0WuX2w2PQ4MP6A8z6f8OXyAUy4aM0z9rE/GW/1r9pe5P1qr9H7XjLc/ 14Yucn/MdA6S8/Wdhr+u82n9IH9oz+QrBjrObRl/9a/Zb3wIetyp/TU+4f3E kGvByFfMo/KddaW3Y5Mf/g/GHkG/WS/IxcjJ+blNFccH+8U6o0/KoT3K99YV 5Afrvro//v2AjXcmR7wZ/aves8vSMznkzeg/9Z5dVp7S/QGbD8rr1vwF5Xk5 h3TKgy+xnyCneL7F/kE6/C7896KaLll3K3S9GH9Tutsa130tn8Z01hP7KfoC +ymYfHwHn/yd0NNzZp9kvP25DeuX9lAfdEF9YOQT+AHlK32uMaz0tsbklNxu 3lv4cwjKA9OvRTp+Hfe/GH8w48339Mfb1UPtU+t1BR/x7eYXu6/KPdzLXGP7 jcPln0n7n7fvWQ/Mq09nvYJZj4Gv9B8xrHxjXp/5JcHXvV3N+90vkgLvNz5G e5l/xoV5h6/Ax+D/rIuZWl7HeRj5sc+Sn3Xv5x1MftYx7YF+w/7/4JIxWVfz 3tpk+wrtpTxnfzd+5+eFX+zw0Lf3K6K8i6Vdq2zcPqnY6qG8X0o5L9q+6O2P YOQ76BUMvSq/5L7rNpPfyQ8mP+uGdqOXgPN9eleHHXW8EMqtcX+tOuyknBuB KQ8909u9vV+kt4Oz3pEDkYO83RK5nHzIgV4uDP9dO260DPcGDw4kPoleu1PH s9gjv68YXUPn0Cnrj3Z7fzvWI3II+hF0A/ZyM/SMvn2ntlf2pbq9he8X4wX9 5fbPYZNHvb8T7eQ8xmPyc75COnZPj/P7AZs77oN7fQB5l/7nds5B8z9hXsHQ M5jxot/MD+0G5/456XyX+nM76aD5u1AfGL0MTH+8ndTPI9j7wTEftBPszxOb +uX93pgPLx/7+9mMv9ezsOOQjt7OuQbf5/3tt3Mnvifdnysjz7GfQbf+Xq33 t/Z+cPANsPdrY12sELzQ/k49Uv1NyW8MufO/SfuWmVz6XfnwyQ77nz9XBqMP kf9jWp7JrehZ6GXonaTzy3k240U+MPKZa19B+8mX3aO7qbJ6KK9dLwx6IPIM 37OfgZ28Y5h5Iz+Y8QUzHnzvxsvSqY/9E8z+7NMp38tZtI9+g5F/3X5tmPyU 7zH5qY90WY9nP6V+ms9W7n70OqtH6XuD7B9Hnq36edfnN1i6ruMNRX5/ep3J ach1uk/i/xXvh+wajedXyc+ac0rSdZ/eXvA9mHTdn3bY/u/v4Xo9Fez1WvRx 5AB/z0X5BPmSfk3/wLRf+TT32LYXfE97kZe1XVutfexXyO2mL0h5yY82O6ca N2L8BfmI9AmabvsBdiG/btnnvR++v19HOuNH+5CnwE1+POxrpHu/nfy8tL/0 dlqwlwPI7+24YOQvxsPbicHeL9zbjcGMBxi5Hfsa+4W3E8NnmC8v58O3vV3Z +zFhFwFDH5SLncP7NYKVvntMb9Pzwi2GvV/zIi3f9h/KI937gXAeYN9rfUb3 Km9sNkx+2kc6ein2A7D3g6E/pNMfMPyU8YEfgrFvIz/oeu03ew1Y18MB41/b JP8rwtcnf1/lyilPbjd6Qp6Afjxut6sFzHrRdnAOcMDOD5BftH7iDCWs6+pA wfekN9278/6afv/xfuOkM36kw0fgK+xz3s8LOdDvi97ujt3cY38fK/xOvoLz gYFIL/s77mnxd/IhT3r7TH7ffbfJm/Bp6JX59/sZ+hjj7O3sOV+P5/E1XbM/ UN5ipSeRw2t6snSv78HP4dOsS8pH/kL/ph+U5/cn6Jn9z98La7+XHOicdkJP /l6l55/wV9qRr+8dNk7oj4w/dhOvN7NfkJ7HQer0c/T2bu9XCD+m/Nw/bLfp R/4cA/r150j+/pI/FyL9tDBrB9P9JujX+9X6OAXQv6+H8cBusjL83L9X47Vt GrH9inTGC3qVYtrkUvYbxg29J4+zt8bo2vu1niX5Fxt/Efzu5WX4mb61Ko/X 9MhfE870jU9Wuf/FJ9M97qZzFvZp6Ay683oZ7YMv0Y5e+e6XHfdWaR/5M31h ezpfYnzgi/QHesMfKcAHl4wV2AP/XNe1tWebzNcCs2dBp6Sjn9A+2gOmXvRZ 5HUw6ez7YPgHGP7C97ldpjK9hHTWl7djY0fx56a5P0Of2T2wo+l962SXYT35 ezlK19jT+nRf/FGMz/DpfZau/KqvIH2Hpts51Xatz/Yb9iNvp6S92LvY/9lf dR3At2K/fxTjR3w63evFXkN+2kd+2ifSwBHDuv7n9RXeT5bxpT2HpLyF6VxJ 0u83DF9mfvkOPgHGToRc6/03fJwL0n2cHeRa0qFn8BxdH+bHhr18pq4Py886 h98hf8MP4ZuqH+BnqfFdan5r6fydfPk57i7D2JsZL9YL/IX1xDqAH2L/ALMu GC/kINJZz2DkLbC/R4L8zfiRDuY8gvp0PjdZeU33pBhf0sHwN7uXrOXZOOR6 aNqHvf0vjwe6pvDyOpjxg9+Bu7tyOZN0MPsY9O/jk3o9i3T4O98zH7QHTP3M J/m9nOvtYswX48N8+fsJPt4l88X4MP/QG5jxgS+78ejg2yt0fDr8I6kP+qR8 f+7JeFAe2O8Dmf0pjVfJ/sf6ZhygO/KVUt6Ltr9wPgV/Zj9AnmTd5n6JnX70 yKsew0/Zb3J/+ZbJ72D4PnIP8rm/R8J6YXzBjGf0Q9B2bk3xzRkHHZeeKL90 3gueq/KCjW8THwPn9+KGzN4Mv0Ae8fId9EL95EduIj/jg/7C+RX6Bt8bP48Y +qc81h/2HvR1f08Z+w/6sr93zHrx5SFn8D1yAOsaOc7Jq2avZ/7Ix/j7e+Ne 7kL+RO70cpaXw3xcDfgL9ZHOOnLpHX4xlA9/8nEPXH9s3+N7+pP75azukF/5 Hv7i7eWU5+VI+E8e13NNRzxY5iOPf7ChzO9dbTA7jvit3aR+j0euTXYT7Lze bgvGznKefm/2XvR3f87IOvB2L/QT7KnIR9SHXeEMbV+J3w/07O9zg6Fb5Dzs rd6vPr+ftNvkbfgu8hT7Pfwwf4dg1PwW+N6fW5KOfE8/PR/xcqWXIz1fAvtz +Sa+BEYPhA/J+N2/V+Owb0r2Wy8n+Lit3l/E+7Hl++X6Dnso/Af+CD/E3oj9 Dgzdsc94+yHjgD0Q+yEYuqce6Mufo6FPsU7Rc1hn2A1yewnnsPsNQ6+5f9IB w/l9q92l90ODXtHrsP9zvgtG/yI/ehTpnPeCoYc8LlSnHdzfA2M9+Xv57KPs 72ZX1PSOe/nkn675TX9kfPy5Pu0H5+fVnfdMWM+MJ/uut/OBsWe1++0G/gd9 6Hz0xnEZFr+U7q69hn0cA/Zxv56b9D4f14DvvV89+dH36B/yC5h0H7cB+52/ V678Fz13JMrfrxrme3CTXuz1Zh//CH6JHRp9E8z+49eRzwe/wp7H+PhzK++n Ac7jtLbMvpf7I79s6wC5O18nKR35xcclRJ6hfvZD+J4/52E/dPKQ6WO7tHyj C9Lz/SnJX+z7jIfXq8DoY8gftBu5t0kOQy7xfkDYebDj5H44ya7j01m/pGOn gh+y3r2fUR53NPkdUR7toTzvJ8G4er2b/jLf0DOY9cP4w9fQZ8kPJj/jTv58 PltGl96OmvvtD5kc4+UML4dg/2Z/Rz+mn/7cinknHXsqGHma/PQPOsO+4u0X Pm4//aQ8T6/ezgKmXNYp37FO4XOc2/h78bmfxbBh5D3o/2QpeJ7pKfhVIsfl 7/mle91zBS+w/ufniy13vujvYyZ7GOnQdX7fd9Do2ssB2p5BW2fUz7gi5yD/ UT/p6Beks568f1l+XtxXeP8yMPqr1xcZV+iNcUd/Y52G+V9xRdIfoAP2a/TV /J4f95LTvav83hj3mwfTfX5dTx1xKv05HPQIn2e/Yp+Sc4yfD0h/61/bt7w9 lu/Ix3fse/n5baddkHWGfcbPS5OdAH3Jz1OT3SAsg9YD0a44YY2dl8NfmU/4 Hdi/30V+5pf8YPI3ycn5PYJkN/JyRn6vbLe1A8z6zd93GzY9ED4Apvz8nbNO OSo/Jx2wfYnx9H6YzIfFT5PvtjXyJY+RF5CrvB8F5WH/8/FBm/gk35GfeskP Jn8+vltsH/R+ILSDc3ddVyn+JfTo7Vh5HON+Gx/owcfJ4PwavghmXVMu6xGc x2NI/i/MG+sRnL/nlPxRoE/v94P8h7zJPOXy5GhjnH7vF8f4+jiBjI+Pp8I6 y8/ZEv/O7+O37NzAx5FFPwipM24ejXLsLtMPcv1rpMjHLZ07wf8oH77CvgO/ w47FOObjl+QF/Kj4PuePfc5/KMmT3m4n8AL2qdUdcQzb45yHeQDn8faTXs++ nr832zL+xbryei10ltvFkt8U898Uxwfs/a5Mn4/r3K9rbwdm//P8Ezxd8Byb R+Q7MPJQLk8Ml7797BPQF+1mvr2cp9UmrPM2ZvOavzsx2BD3ZqfNl+f3OX8/ 0EFH8HfowN+jZfyph3r9Pdk8HtwW8y9lnNrvmaZ9anvkTyMdchgYftp+7yrd Q0/8MY/jkvgfckh7nNzQLx/nKL83scvOn/g79IHcNE/yzTN6yOPZ9zu6HHDn VQfMXsx6xF7MeORx7jvjdOTnY/DrR1dibxV9Z/6yxnvlyGn8Zu8pLhnR+wnz l9n5V/a+3xL3vl+N1T7FvbHhyP+IwzNsfyef9mu48TufL3+HM93LQN6WOHCL x3TcD9f3h1tfGbF9Ez2I72UcH4v0cWW0Tz4W/Y+vHCxOv0D85XW/+fwGu7fn 9SivZ4HHS/5bzQ4BvWT+USfo+XNrXbpnTPmS75Kq/NMw7Fe+UNIe/Pe9n1WY ty9ujXGk371c7S8n6Pl6XX7h2lO49ti9S/aRMC6z96dzLfqf+X3W4yL89awU J4TyAjzyw3reccPRA4WPIxDaO3fyiIznzP5es18sUr5rGD6MXQpM/+HLTv+y 9G2aXnJPVVZTm98NWH4/fsD0mlO1/fo+xNH6jnWdbn6ofO/vwYLFXvH1qIdd NSp+cuN/Fvfn963tuEcs/jFXKZ5Xfwfdsx4Cuu2hFM8U3P6OcD2eop/U42n6 GL+kM97wa3+v2d+jan93J8wX5aO/sn+J3PjmJj0fWjJWfk6xnq8sGStIBwd4 +KqqGA3F/6LUe0Enjbn4aGmdif2lzifNXJXiZpAvlldu0PJ0v31vHOefJTlI xmNBZX65IXvw+xZ+MDSa619D6f0e5XdDcf5fs1/+LvPVH+9V1uN8hmLlK/W4 kV/HOdrb+2P8kskjZodX+usrKRdMOuX4fNRH/dLsT1Z2jhXW7cyP6zntlI3p XTFh8zFf/Xddjx+v4v5DPPsxmw/sBewLfr0hR7Jvyn55xWsm58k6qOcZPtJ+ TyHQA/NHenZP4dTkd+PooXD0oOvstGifeiDFSaOdl+r3BfQE/UCPMi8XxHP8 3Xof/aIFKV7CE4rz+9IXp/gSYPgq65h1PUP2izuiPFiZnQx9B7kCfLp814p+ mPo+9sn1OCIPdyk2+Zjv87iRyW8TjL3N05nQxdd4j+Z546vt5wT1fqP2o3cv L+N+YXZ++DLfXR9+j3/ezhfgy+3rN9Sn5/vPF5drfjsvoBzoj35CT9DX+YpN j5LPH0pxV8HoZfL9fXH/Oy3eJ3kg+TOQHsbp8K+qvDBp4aDpP4xvmJ8XpnJ/ N9ntwneXbyNOo9o/a2ztp73uPMSfv9jfV0i9C02vJf0nOn4l8yX0d1nl4tul e6jkZ7zJz3qDLuAv0A040P/G8Xp/dMbdL5bgKxRbe1l36IlihyvHohwQ35eq 6Rn6vlKx1FePt/DJerxt/v19KuQl+i34a6kfpNNPnw6fIf18TZd8i67Tfa1n 5eaOuDXUR376Q/sDOv6+dB7DvNEPN39RzyHuJOfjxNEcdPdEKhnvR97ulLvY L+fI70zjL5y/EL8BOQo9iPNh9A+w2oPSeWrwy51xc4yncjNxOFR+qbHZVUgH k69Lv/fyu/F19GP66eX89nvQB/+00vG++KWOOEOiB1zTo3bf+WOmH8i+dniP e68g6UWMh+wDP1iu6Zt1vGt5wM5LQnemvlip3DlpJVj1zA+uLMiP/BD0mRve s0v34Tf1/L7GBbjdn++WWu4QufOMsfKNgL+5NY/TUfMd7HXwGeywovfcGnFX et9wguIi87voSvfwSQejP8O30EMXa/mmf07U9hSMB/134+felUr3zMLPlNmV nw/zh2W/2KDlFcxHfr7E+n46rsOqfE9YrVv0ftsJ/1zZ/DBflM/+ousZ/9rk 7xvbF+lrlaVLO85t6XlKtaMEP65Y5YRzo197nQ4mPTTj3Nn5OIR20C7Pd/P3 DxIf9vGckA8/K/tKn94X+h/D8v5e1ze3Kh3XdKV8l/gMGmey/9P79J7433Of Y5+dw/1Y0wufzjke6adpevGY1qf77xlj7l5wn9nf2uXZc3+T+KKs76rq0Ou8 3ADdNMk14M/oeAj91+Nh/af99J/2c16HPxH1I9e4eH9eH4p2t5fNX5Pz8ob0 0qUbneV0h79h53e0DzuE8I939Lx9/PnbSvjPhcpvSvgPGP4T7KazhtL7K8hV /h5vu39c0B/QJ36i2Pan6dpQa994wY12CLOT4N/k5Vjvd+zlsCY/ZS9Xy88F Uf/Yva5knOEfuh+tMn6Sx2+oMn+4W76U4qsK/12Yv9MUMPyKdQ6/ojzqC3jS Y5X9nXKhQ+hS/LdW6nur869L/uKMI+fM5IfumujW5Ve7Xi33/FjLN3rzcS75 3rXP7Abhr7O+pP5nQZ5DfkaeRr6T9XjFa2Zv1fXba/ZQ4guAhW6/pPdhp/9w h+VHXgFLP+4YsXhupOfnaSO6L39J6bsuz+yG5EeOE756X7o/Df5j6x49UfyN az1S6p01XH4g5BuLcVhnDRfgsI6uH63K/xT2sYcfi3JRVX5OynmkmCrlzxd+ d9kfquJKqedBk/e8ntp+/tf/xmBBfadrfSpvrE/32MJvz1zdHx65KD9vrL9X u9769J7jeZpf9oM6v/WP8gNdznhXZfc9vJ0UuoEOw59nf0vfd5uycLPJtfQP f78sHtikPepPd86o+vsML1H73muVxqsZXlJGbPEAcv/U5F/B/aaAbrmnMnra rfSk9PsXGs92xbwRk59Jv1vTZd+o0w2TP/R33mCil3eFZry9SN+lHKpsvu/U +bb5YHzDV7fdk96LZfyZL8Y7v29TlQfld67KUzVdyToarQroivEd1fQypls7 rF3S323Gb8HoGSJ/L9qm+8lIy85/OccReWzTSHlmmOf79+p+1T2SnYOH75Zr OWVTPWD4Opj9Cxzod+/bii//7DY7X8Tf7MfaHuETdXv03mj3SBYf7d+qp/2d ytA/yqN/lEf/GA/qZzyon/HI/fA7zj06/JLQj+A/rDfd3hN235XufMX4GfTD 9+Dw31r/Kv5n+MfFL6lddTDtD9TT1I6ZEzN9ILvfFPQf7yeOHIrc5v0mkeNI hy/B17wfOeUhx8L34Gveb5vyyY++gHzQFHejHQc9ZLLqJaW/N4Nc0B6Xo85f oMdIvZdUxcEwbV9Ldg0fxwOM3IAcgTyyVOURky/oB/oC8jHyMvoD9pBg1+9Z udnob4XUt9Ds5siPYZ2ccNJY4e35yINyv/eN5Nd2lWLz3+K8E78D5DlvJwUj 74b9tpZ3hc42jlc9LtijaCftQL5BfiI/9izs3tjBkbeQh7CjwA/A7e9p1Hym hO+IfFTL4UtC9lqOVroiXtKILqvuaLfY9bKs8/nL9N3RBXurciwMy1uLirg/ yHqt04uYrvamZ3U/mfSjTWBZjzW28cfOIXzlM9uU39fjtlPHr2D8SKe92j/i d0Q/ntv36Py8L8ZRmbRH9flziOuNH++IYa0/+hXU+zX5KR9/G3DmV1CXz/4u 47y9X/WR8yJf2N6v6+q8QaHX1x9QuXv8hDUF+zX7MXTBvLOvnSrt+7nZyXzc U/Ydx98MN/h3dPBR6AT/CfQr4iD5uEjcw8Fvg3sG+EmwXmgv/B0+Qfn4c1E+ OPTr0O3xvurEzbav5/eSiLO5teOcgb9jx+V+CfJ1/o45ceaJ/zLSMe/gPG7M SAddsX8ir+XnRs/E+1oJw2cZF/iitgO/3XSvMX+3mfOqZK8Ba3lpn/L7lu4/ +6J/31Dcn9I+BGYfUnlzX2xXys8+5Pcl3a+47zpY0B7SweyLKq/ui3alIduX 4ZP0Hzqiv2DoHH5ufhETVZ5nPwJDxzqOyAnp/jNY9MV7x+zeG3QPnfu46awD vy58HDH0CzD9oJ3cq/P37LiPzr09f4+P++Ssc/z8wNil4e+6L79o91jJh/0b rHT5YsF36Cnsl9h9kXfy+M37TI9hP8WOi/ySx2veZ+sVuVTtG3ttfUL/Gncg rYc8zm/SH6EvT+/QH/QNvfp3RDkvYJ3nfuwjLn7rBhtftdNstPEln9pfNtp4 Mh7ezs14UT/7ldLN7nz/m5OwP0dg/xeu93aKnyJy1kiS4yPWeK0nPSPf994V 7ct3RfvwSc9kcutFXUNW3yIpJ51jzJyYy9Vg7Pb+fbPFWp76jaxQ+/Heua9l 77WH9yxFPjhD4z7P+ubWsj98/4FVen5a18t3lIO8g3wh9PBQK48n+lCyy4Gx 48FfQvqsX6u96cEtyd4U6P2Fc/R+7PgN6ud5y4295k9HfZQHHQR8y6/VPlOX Z/YZzhXl+1er/N33V1Ve/vrN6b35CVp/Qf205zzFlg4O49Y7V+OH1+NTMl5g fsnHODZ95/PJurpI9Z3uufssvhf2iws1vSQdvF2xfQ8WOWlfet8CnPs5Dop8 2Lql3+x83i6KHZD9WfSDeyrdd6ZFO9+0PuFDM6bpO4Yzpg0bvlax8qFp0X9h Wp99Dyad8q7T70vKC82ecVnyNwFzDny19q/w9w34u/CVP1+V1l3MR7ofJ8af /pKfdJGnPpX8McCcW9B++k+9PbpBCP+76J0kl4Z+nlzTWdDbemq6C9+vmK3+ sZOuGCnBExTbfiN+a6dWZfv5aY1Vj57dr/vJ7Kgnz+7X/WL2oO5TF6f3W9rj PUzurrJ4D5OxJ1yc/Az1Ho6e703hPHDCat3HHoFeW3aPWemzVbT7yX6kO52X hXbOG3tN7Zuz9N27jYP7ZD1ddsyQ6neD+u5jOw7r6SvHDHWcy1Pe3Vqe9L/G hce+PsoL/f7nBcnvDD2S/Qc9z2P0zjA8p24bk/V58MR0voO8Jefereh38kjL 8PsV67y11K8ipKPXSr/b9GL8Ntz8ifxX6/sF+r7oU+WYxZ1y81vE9oocUbdX 183s3gJ6wy9I1sN+lbcOVSk+3zbp/wK1c/6u8vnN74jvkcPELjA12W93Ki5u D837iMr//Xd2fF9QP+eLsk66Uly5UNrAneq3dPJHntF1Y/d69J2AY95Kfr/t 8mT7uWXEZqeUn3rdsn75+2LFZlfkd4LmV/71rsrsaGD0Sv4eenl5/Xeht2t6 SvwfhI/UdB/OF14Y1Pcoa1yAST9dcUE6OIzzCfc5e9Z9yV5FOhj6gx6hZ+gj e0fknZbRD/Qe6c3uv0B/+BGRDm7XC1d8KLcn1NjsM4w/4/UTHa/s/kUYv/Zz 13Aeh/4odqa7KvtF/xO7YaSPG7p0n70h0lONtR8zelUOmaXnTa/XfFR/9T7Y I+9UHecc+PH4cy3OEbBrIK+rnp70bfz50bv53sfhwo6LX81PReCJ/lWXVOVs xaoXXlIZH4Yvn6b7l/krgNnPGA/Gp10/DvIs48d4teu3QT5FT2uPkza1W+lx yoTkJ9IeN7+eNzvHlfXedi6L/uTv0Xqcv+vceS8XeZp9in0r/Nx2jsYHnj5u q8b/Oa1Sufn/bDS8RbGWd2qVvbf+xUe0v+NPX23yL/Lqj7V8sdfU5RfEE5P2 LhkzfXCZymeyvmv5QPSNWj4oxY68e52es9V6nNwzeFX9VmtcZuftDya5fLfi 3E+1Tp+o/Sno3xztj+m/cr/+NPXXmRLvBwT5G3n+Y2GCPnqr+sHX64Bxodz2 +A5BPhH/8rf3mv7l/RB3KT0U7X5CJ9T13hH0mQ+ssnNgzoXD+M16R8ub153W C+msF/iF95MD+3Nj0jkfEj+cG1M6+UWuO1bvj5z8VpKrhC9fXK+/kO1U9fNb 8Xbad8Qfp96Hpobsv79P+eIbVXlumJ7r5+h4vp3sMJHP1PMTRmb1J2Rd1PhI Lb+g/KfDfH1rTsH34fOh16pyXejH8BJdT7sqvWd0aGnhvje/jti+4nBtXxHb V7jyTS7s0v7K378+VJU3hWF/a5HVP6z1x/tZm0X/nHP7WNl+DhvOWTnH51wf PwGP8SMIw/X0HYk/YieGv0a5xPwsZL86WJUflHY8WEwLn73rl3q+/KvK8iPX hPyX/SHOUzy3D99zbh/lWeNvYT+bemmf9uesYTvvYj0L/zgrvT/Bekcfm6Pf a/vPGrb48tl7Vtv71f/gPMXjD2n6rEmDJl9l76pv71f77nmqZ9T51V9x0qD5 TTCetA9/IeyDfxG+79pYQoft96gOCV2GEVj9lLS/xvjJT9TyLO4Xfpzib7R4 zPaDzbofqFx45nbtz33xfseS6P9x4YiOx5K4bi8cMTuDxfcIP7WcElo3ftuY Xy9FrK+gvh6Vy6W8RTU9j4bvL038LNJvAf3G9aN+CYeWlpHei0uU3i0/603W z+X/ovRay8dTFZcRCx+67Z6qbLdXB/8A9G7SwZmf6Jz+sskPAjqAHqEn9nnh a+z7bXrkPwb81iYtb0mKnyj87LIkTyBfoIeTDkZPRx5B/vB6fNzfs3POID9B P+jH7H/sh+jLcg/yfXofecbtGh/jr87Rd2imT9LzhzpdzkPqdKmvTlf/o0n6 Xtoki1sxZPoC+gR+FvhVyPzWfOIboR8130DvgV/Q/nb+ENLhP6QfrvxE9rdt v4n2vxUPGd9lnyA/51vgg/I7tzT5M+4TJn/Kgp+ZxlP6c4eVD58n/QYtj/TS peu+8s69tq+wD3AOJnacm5M/G3x0eUi/V+8Bzn0j2jWXPaTyyG8q0Xf/6jdV 5mc/8quqXBnwu36Z6fV1Ph3nev2E0bjud5Xte+xjlMd3cV3bfQbqobxxyv8L +L+rr3T7g4z33/86+t2c9bD9xr+X7r6K3lfsHTE7fbfiKFfsNfk2f+c92kO/ onLMstmKz7hipI3fKl8T/W2kyt5NXPtG8q8N8/mHN6Mc8uI849OUg927ARcu v+2v7NfwP/b72J6iPb5kWD/4LZGOXf2/h3bV60r4zWiHfb34L5pexHRvj6f+ Ev7LeJDPyVdmdxe54Y0O+cbs7jHd02/h0os3NL2Evl35+Xu+RV/+nmzRZ/s9 8gL8ebfyZ9UD2r5r18tCeuBzPfEc/eQd/SpHFMmvnH0R+/l0XQcF64J7sfl7 finuvrRvb7Kr+3M93sXg3I/82OVJ59wv+Je3nn7FztH9uyx5XJmIaz1J7OG1 XtYUN572E3+e9nAOyLkg535gyvNxAem/P6ekfPrjzxkpH0z/srhh4zQuTd2f jncy3Px4+UT1zloPEvmmu7J+Ms7LdHzN3yHzt6n1P9pNP/J4ZltKZ8/VOL2P xPPD01dbudTDPHrMPHcr/RXIaWofXGl+TO34hQ1V8Tch+wlPqn11XVX8i/zj KcuvdEFcdeKyVDHu/nq1c5yTcKRHu38o8uUt6X2znYrtXATs45XSH86r0Avh 19uVX5teCP8Gkw6dEZcGOvPrDjqU+q9P9y/8OlU+t9zGByzSxZY4vu9eLvQy fWuldtl6n3oztOfsh5Vur0/3Tyif+gOdLERv/dac6DcF3faY3Qt5mfFlPBl/ +AH9Zv1yHoC+D98mHobIE/sejHERuo0/izw+tNTigbBviNzdWmp8nnTK1fgN 3QXlkp9yOTdXO1eKPxHtxnYOixyOnxvxp9VOpvHpx0/coXzb4tXvyPyS+iek dxL5fqd+X/B9u59ayE99xGGhvqmaP/PrrfO793i2F5RP/n/Q9tk9tXY/2fB9 e9y2cA4t2S5I5+piF9o4qnED9u0qicdEvrAPzd+n91POrfMRr5vvpb5nEt6h 5RWURzmUu1vzZzjUf57mt3jgpFMe6dRDvn/U9sl6Kjam73w5YZwuf3a0oD/k d/RvcjPnDNhHsAdJce/wbsYGlRPPqQyLvrc/xQcZP1HletaX9zMLdHPk5zar veTWMZPHJf3m9G55l9ZfwBdpBzjMw9xzqg4/M87NKS/Q4eF1feGra29NccZ0 nnS/rttTxPZYXCL0A8bf09FPdHxL5gN6Efq+QOO0TV7aa37sIrfV+pM7rxH9 5cRu1WfnfWCV2WfgL2FdvT57sNRfjYdXl69xQZYqHw+Y+qifdKGHO+L7Lc/G /vwoxr99dsyn2/mfzO+xq0p3Hm2/4u947Cqdr5t0nz35oaojTrTsI0dxbk1c p1GLSyR0flw8D1+2syC/zhNxnThn2an85LjoL7Bsp/Kno/Af2GlxqLO4R0fh T7BT+da0bSa/YTf61+xcAbefw4V4VmK/eDieK5y4L45H9JM5KvpHzR8yPyX0 8iyO2sJ4P7b+nnhafD9Bvzc/OurP4s49HO/TnpjijX1Dvy+oHz8o6ud76ud7 6ud76ud7xmfiBbldDIz/Hva2Tyq9mF9Q/l59emcqe6+q27131Z3iHmNXCfBT NT/hnJlzv0zunqZ+EvO+WhX/FJr1++fhT3YuK/to0vf9ebDG6/jgSr03+2Kl 8/bxqO9uXF+Cf6i4aGo3OIzXzPV6j+bwX/UZvlNx/q5Yt8ZbrtNL8oPJ78cx j2Mc/Vun7lX6GUl6u0xTrcf3CX6uxA+1R7H5r3LuJH4J5aCe47ade+fxzIln uVe/69X30Gv9Tuah1u86/GqxK9Ae9Bp/TwqMvkh50o5J8XzsUL+L7x7jDE3d q/Q/kuwYtA89x9sfwbQf/XSx1qd2x0P9RmfoIdcovZW3K73ZOST2ynFBfv0t fvFjZZPfBH4VnAtereNvdOzrgc7Zx9jXxL5wc9rHhFwmEr9pi+6bX0449OPe S6P/x5lbzK+D9nwqfH/1xiy+cPDPwV8H/x38dZCT8/h46d1VzpnDn4feSXYV 5F7k2nUqLxtdt98LCPZQ7KXMO+fy2FOxlyp98t7BqGGJU/WNiL/zqspdXxtV uWdbOoe9SrH5bbrzxTKPV6jvfM9apnES5x2X9j15t/Oo9J44+dmXSBe9+KvD cX9Qv7KAlV+n+DnoQddqekl+MPmxl05V+cPuwaOnQR/aD9X7Az30Kj2YHXOF jNtCuzeM3wL9Z9+lv+/X/rj4jPpu+y31Pn+Njo/ty+Snvdhv4/1u8/92/hKl u89s+xT7lsRXmLC6wN+Lfvp+C33X6yLwk9aZ6sc979Ixb3+1dcP3j2v+gvyk 63ohPlDEXx4rXP4iq7/O7+p38cSH1F55UvQ3e1jlktZRSQ5BbhC9eX7nO5F6 Xyr6pz2s6fX3tl+x7/vvkSP4XvzPHla5InzPfsT3Yi+a3/nOJu3ne9rP97Sf 71UfeNb2K3BYBb23VrqfHf+s2ql/gP7yrO1n4Ji/6NH8RcxfoO+iT+I/I3Q5 a8T0TfRh8Ts6xuSb4t+6l8W9rXDfifgIoR0fej3drxZ5438v13sPm6viR+Ef 994v++Pdb6RzGZGvD1boVXbO7uksrt8Cft4kR3jcJKeIH/aN6R4p7W+/L/z6 W+m+b/v93smvV0X7fd4aq31/YYo3wD1ZmZ+3W+bHjl979J+z+yDO/83sJcI/ Xq68v6edU3AfMfQvnKfizxPw5TcnPTT8bDya+xvpXh3tke5sinrTX24qIla9 6mMad6pusJ1LhO+r+So3z7ymx/az9jizD9Zy2qTAt6al8xbkFv+OzATNr/FP pu0tOK9BDlO7yZ7I94l7vkfjf54S4y4+vkfl6OPi/bjb9xTZ/bo5e+K6J87u HuVzp4yqfPX4Ht3PjovvmN2+R/nG+0atfr4H8z31kV/m91C6Dwc9wxejvFK4 /algf8Ifxt8rAeOnht8a/jCMVx6Xfa/6l81BTtxrf6ceMPWQj3oon/opH0z5 tKepXDDfNZVLOZTLd039pL3k9+9m6jineIxgsau/nuJ78F2X5ivId77mM0y5 vHtCucqvXi4oF0x+ym9qB5hzeORG4i8jL8AfwIs0n33Xo3+3uM34NeRxI5/p uJeHXyb36vy9JDD36rin1HRPzt/r8/f0/L08f88JzD077j3l96aI0/eM7aeu P+a3QX78Ucmv+lkrzs9OlTP+OschXe2QOwrSweRTOXTUsJyX/XWraPq7/47y SAe31/uvtePc8Ofkr1bEfbZk30Wu45wr/Lf/U1HOe3GL2Ym5lyX76G1qn+o/ 4lWzExIPnXSN1/uqe/9xt96ruU3tZeF70vmedL5n/fl7Z2DspNxD4/zM3+tt v9/4+s8OxN907sn5nOhJX9D7fXsH0rmpvxcMvlDLi7/pXJPzu91ant4/Gtgf 10Ovxe9W+3+K563j8Vo8/xu2/MQ3JT+Y/Np+/NGI3z4c7wOnOOC6Ll8rKZ/8 lEd+MPkpn3MlgV3Qjb5jEe6Xgv05lNDtvcRJ6rFzKjDp4rc1cZn5Heu50XKL BwEOaP6W6Cc5cZn5MXO+Rn533lZSvrYff4blFs/BlS98YMtv4n2K5Q+Z3R3/ efqh626T0P/0JQmLPHjWw+aXgj2Gc2mJY9p7QPaJkz/XeQ5+t6bLvlunm/0D /3zmAT/lC7V+w6wr1pnUf0R8769eZ7KPJH8f3S+WPVTi/wN/0HZvtvrBcp/l a9Ge8uvN/p5uxzuznBv6c0Ew6fySDt4WfvY9WHLe6PPxd/KRjt2F9LmabnzJ 8yH4mj+HkeLOSec0/pxbzl0+rveTJm9cL/dP69+Cv/t1gz+6nC+cvjreH+2L 40Ucyb4oD8f4RPfm6+5X89WOH+Rt7MP+XjiYcx/OpdhfsGuwj2DH8O8ez4ly AXZVaee3E+YdGfZT7K3e/irp365KyqUeyvH1xPymFyBvez4CvyTemfCxYyO/ PHbEzlmxR4E5h1X7zPa4XlrGT3lf4wwtL/6O2Dkv9p78/Q3sPdtj/9M5NPWD qV/naXtJ/aRTPpjyyU/50KGOa3pXAaz3IaM/6/T1ll/nLb2TACb/KZq/yMtL dgrm6QmlB8PMa/4ud7RL1HQA/WR00faOt6cbygdjH6FcZy8xewjlOPuIyenI GcjlyPlg5Hz2Ffw3m+oFs6+cIxkfs1/KgV6hL+gV+oL+oGfoD3pmH+M+pEzn LOT2NbI+X30gYfpJv5v6CRZ/pq6UD4wcFsaz//WXRL9e9uaY6Y3E18JfQ+m7 1+mNe40uZN9p01PA6Ck92nCLq6F8Kukbeq7RZ/FlmW/oCTmfv7t7Z4Zzv7Pk vw3W8lIcafh5zn/2R//+5DcEJl3LPWD5kRvxI8zfKUtympfr8CMkP3Jbk1xH fvyiSG+SM7Wc/SXtxe8IrL/7Y/sSZty0vv1x3g8YZpzpL+2hf01yso4778EN GOa8hfYy3mDkfK1vf7QfJIxcpt/1x/FImHMz9lHmfU6UE9rPAcI7LGDt52g8 d0/+Mu3nACE/mPxqn01+LpTH+15glctHC8onP+WRH0x+ytf54D3H/XE8eA9y v60f3mlFzgbDx/S8eaXh56S+p+z7SzW/yelg8uNnCMavELkQPqr8YIWeR8xP /obEyZXvx3NOsj6uv17Tj5R+k/7D/kR74Kdg6vV+kbQPOuQXOgR7OgT7deT5 Qu7327muwLLfHDcYf9EvO+kWHPjy3uMG4+9+O9dFn0C/ASNfoU8wXsw/4wVm fKAHMPTg1y2Yc9RDghca35d2HPFqib6C/tKt2OQklV875SbkIt3PkhyGnMZ6 Ic6etifafbvTeiWOs9Iv7/nsMvk/+mfZOyVxnzWM/oMcBt36deXXUfs4vrAh +atRPpjykdso3+W3+4Ds3+RHz3HtN0x+2k9+1h2YdTdR16H5f0EnX5YBfczo Asz5EvqPtn/Y9B/islMO8ZKQd7Sda6Xc//VPCSufH4r2lD7DnNPpOA9FPtpX gDkHzPlOaXxHx/HpgvL4nnM9Xx71c+4I9vnAPp/vB/V4OVzlvCiHz6jsXfY8 DluSw1XueU7pYUZV/JkM6PMmT3MewvkK5zhg1jG/rGPwTCnnfpPzwMh5+B3z i54ODqXd1mY3Qk72cjGYfbFp32SfZB9kX2zaN9knyU99Xm4HY39Fr0aPBkux E5EXY/z7KWMxTuuWDruy18uZRz9PzDN2XOpRvrWloB7q5dyJeq/WdKMv6LFp nUCPrBOw1yvwi0NfYr/BX4d2YE/K7WspnX7Rzqxf3Z36FfWKP8/El9RO0Er6 CXEc0E84V0JvIR/nR+STe/hdL9k5jT+3od/kA/t86FFgxk353qMreQdgka4X 07fBnPOynkgHkw7fYl+lXOppKtfX68sFT1cGafyR85r8Hd1B09c478nfFU76 G3oY+xcYOZJf6mM95HH/0zvAjC/xAdknwaQT3450MPXRb+pD32bfBpOO3w7p YD3PTHZbMO2eJL96P3rO/E47r/Lf6M88a6z8j/KPJ0xewL4NZr4pH3mFfnN/ ArkOzD57quT/ue3XyEGZPbl7V4HcNE9+59l8gRkH/Jxon4/TSvwB1j3Y+7sr feC/nPz+wMoXx2w/UJy/MxQwch5yHXopfqHg/H1x7nOleJXYB8Dt9zKCPK58 td/8q6Df/P3eUbMXwu/z93JHzT7IfuLiXVp8RugYOzXrycfRBOuwpHsPyHN8 Bx2hX6mcsd72H+gbugEjn2m5q20dNK0T8sXvzN+N/GDya/9WFeSnvZndeGLC 8Hf8BbBLqR6cMP4D+DvhXwcm/jZxefGfYT2y/8g9qK6lOk4vVGUl9S81uRLM PrZO8xcxP/2K85Tse/Ab7c+rZg/HLxSs6yX6hbZGsjhXYV9if9T6xkxO4zwF uxn7B/sB+we/+TvQj66knB7tqJUDRv5jfbW/sxXWF/Y1lX8SP8Qfn3tUYO4B 6vrZEum/ZX7cxDPDz5p4Zn5ewfi16XrbovHFd7XsXAg+At/w9hf4JHwRORK7 ff6+UMLwNc4XGS/WM/eZLC5wxHmc+vXGD9Dv4Pesc/Q61jl6HfUgf1NP+3vI oR4w+z/ljhd8q50bgeELlM99T8pn33L7lbULeoX+lW+scfxlrY2H1R8x9bf7 Y4f11x4HpR2zHukX7aVc7ldQLpj8jB/5OaeG/5NvrvwusHysM8Zpm6bbOKEf sb4oj/UFXUKH0CV0iL5C/FDkXPgGOL9nMebk3iGzPyu9Jn0Mey4YPRX7LXo8 +hL2aLDQVyve/x2v7+HUWPWx8YNGj4wnGDsh+wT2OsYV+gJzLsz+hZ0lP+9M 52fkV3lhs9OfEkZvQR7x9xK8nZj5gY9QP/1Br2M9g6EPzsHY99ALWT9g6I19 kHXP/DCfzA/vxIN5ZxfMO0jMP/nBvMsEvTD/pFMe7aRftBNMO+knfBk+zf6r 9ad4SD4OORi5E79d1hfjDmZd448Mf6D89nuNoXww5bf7C4f87e/HhfztccZC /oNS71xrZ1OceNpNe6i3qV20g3qQF3j/QfedJB+QD7scGD0AfkDcNurF7471 Bz+GTolvCZ0iv+TnyauN3qAX9gP2NfQwMOvSnyMyfrSbdQ6/pd6Zmt8w+gn9 gP70PckXDHs7L/yF/oKhb/gV9A2eJ3+YZ/NN+/gOzHfQDe2FXmkHmHbw/m4u /z9v/YD/sn7h36xP3m3Iz88TRv7G3ki51CvxIrqXGL2yL4KRdwXOr4pcD1hr 7x7p/KV3Y3Q9jNm5rJcjwehdyJXodehp6HVg9Dr0NtrDfNFv/MpYl8w3dIYf GfTF/EKfub/pC05/e972XeJxQQ/MH/JQ+7vRYb8F+/2Z/RXM+qLc9rhgoVza 4f1mwax36Cqzxx+W4tkyX/QPemZcD9eJ73gnhHRtx2qjL+gJ+Uznodvoh3FF HgOjz1AP/M2vIzDzRH74CPJ7bl9KGPkd/ojfNvQKPYPzc5/FVp/ytcctnfaR PlU7bO3BvoheRP2yr4z8VPeFtU+UNyguwKK3rXmiIB/Y52sqx3+H/ift/+ky G0eRx4ZT3I+zFKt+3Fpq+cC2biTwwHdVX/i7Wn6TQA/fLcD294Z8tJP2kW+B 5ivIB6b967X9xfekHctMzwl88eDsQeGXB2erXlnjUv/eb/Ycyd4V/cdYP7vX lRKnrvWY0aPcB/tKioe6WLH5c0BXxJN37y/rOrikKnm/jHcCRC360qjRm9w/ HFR6C+9f895EyD/jL9X+eGTPmNmbeA+7W9uv/GH3OtMf/LuiYOj1ydCP4583 OeoRxfb91Zrf+Cf5ZX85Lb679kBl5fG9xC1eMGzvfvIOJ/KoDOtz6V2zCYqL 9ndrw3sbvP9NOu/eohfxzsLlAdf10o7rFVu/6Df94n1m3oPmfehuxdY+6uOe M/eeuX+G/Yl2+HmlncSVJs60vIM6bsT4v3sPvMj8wcdpPN46v+0HvIcncYuv fMHe1Yv0Vrr3u7XfZ8b701+I93zPjPEKvrDT3v3jXsduxXYPhLhnyDfQKe93 wk+JY0E85fB1iK9MvGXiKzOuzKvci/5e8u8/X7H550uc8HVxfzjhST2H+Oiw nmdd2hfvIah+Onlen91/4z6cu29b8v4o6w4693TPuhF+sVX95afcE9ffVvWP r7HF0SUOLHFXpZ9nbrf3HHzccOJm+7i8fEc5sf+6j57wZPZ+8pErKstH3NfQ 7Vvua1kc2EA3099J9z9Jpx7/HX8Hc6+be97ufVm1lx5aqu8r7qrUvvrm0jJi 4wNCxzUfwN9F6OzM/cYXeB9Y7OpnDatec2mfxo08Qu0V9fyaf812/b5ofxcq vM/b/u5TeO+Xe+XcM2c8oSfsKsTLJ74v8YCJD0y8X/eervL576g9onX0c2IH nfCQ2oOPvGm13R/lXim/3OPcpfxB4y1c/JLGU/2tnjvd8NGXS/5OvqZ1yjqG D7APETeO9ct6NvtVXI/wPd6jZFx5r5JxbeLbfM96hV5Zr8yn3MN5IMZ3n7AG XPBeoVtvFh+n/Vx6ypPb9b7093X/C7979e8a/+qVSO+nvKJxh76fviMff3fx 3VTueffyMmKjR/hN5C8F92uJvwEfbI8LEd5jkHtaA3tEDyjHjRbuPUv//rHF dyDeA/EfiPcwUelD5/ujL6s88rP98VfjhtRY5Ra796T3VbhPFe5XcR+K+yvc b+G+C/dZoD+/j0GP6HfEZwndu/ZW9U8+/HObNX7AwB6N5zlu1PQ74omg3xLP k/ib6Ln8Ev+TeJ7t34W4I8Qhce9zlTGeVUE8K/iY5wvwOeIUNsVpdPEjlQ+O RX/J2x/VeKZ/s0D1zN9XFo9X4gXGeMcT3opx6sfP03fO6+/C5wNjVXG24jJi je9+R3r/gn3dyw1+3wf7d4Skf7UcsEP4Z/6uUNinOBeT9XnsKnvPgfcWlun3 yn/O1Pcepl6U/FYiNn8Qmbe1A2qvuHHA4ucT/zvyT30H7ujn7L4x7wVI/JR7 VN6YXfMF9L/3ivy7sSC+OfHMiW9OvHP0UOKDXR6+O3WO0MWytyvaUxDPn3g+ xNch3g7xfaAzLxdCh/m7K4kPsM+E37U1H5D74gP6HniN9X5WzSeILynxm89+ 2N/3svtuou+ueIh+lPTLxVP299uUjtcOKN++ccDi3nHfiPv83P8nHgD3+6H3 7yq9y/r8zRtR//39fRonvGe3+U1/U7H5d4X8149WpdD5w48xv1J/Pb/xftiT wtdb61S/+OLWaJeq+bTcI/38BuW3Z1u66pU1375Y03Vdn1UZHxU+ty3GBfpw 9Gc95oDhCYoLvqd8+Cv8lHun3BsFcy+V+LQiP52T7u3KuqzXCePOurhO6y9p j8g5V6R4vNxLpT7hOzWfln2h5tvTFBdgle/xUx60+ph36qO/7BfsH9RHf6jv Ki1f18eZ+02Oo37S4QM7tb8F8YeJ19s0btTL+y68H4Mft4zf2sri0+IHIfHW z452qZou6Cf8RvTRY+J94Q8nLPV9WMe5xiXpTn718m1Bfr4X/nhvukdLvcwv 8VJlfex7sCT+JnEbiY9J/EbWCeuGdcS6It4n31EO8TXJRzkunqTFd/xb3Q/N ntFu3+g6ccDuuxAPkfiGxDskPqLI9Tele7FP6Pd2n+M8TTf7rYz/8JC+0/dM Xwm+WrGO7/BQSTqY9GDPvuV9T2sc9aeqoimfx031uvuL/v5jQfw64rcRz414 dtzXZJyZd9Yd9ABdzlU6sDi6Ihe1vdsV1kn5oVHzEyE+FfG7iJdG/BHiexG/ inv0QjerIz+o55P5YH78vfnTNL+PD+XjUVG/5RM6PUHj1Ey+Y6z8f25sFLM= "], {{ {GrayLevel[0.8], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxMnQW4VUUXhk/vc+65J66KhdiBYGJgoQgqGKCioKKSNiLYiKKEoKioYCsG ImKDgt2C3YWK3YGFYvvr/733W/fB57lz9zqz16yZ2Xv2zJpVs8agYb2OyaRS qfFtUqmsrp82plKtSqlUx3wqdUo6lRqhtLPSEfp9uFJVyD/pukjXb5RO1r2c yqlYavdCKrW38vZSOkb5Q5W6Ke0hwhsoXan8NYS3nFIrpbOUN0FpmvLH6jpG 6XLBq+vesoE3SMRLyr9W+T+q3iH6/aXgz5X3ktK3wrkeGko9lFbU74pSVek6 /S5HXStFXk3pAuX3VzpYaYes61pNaUfBnZWuE3yGkBsbVF5pzaCxvNJBun+g 0tWCJ6k9rwr+QfBsXWcpzVRaK3BXULqKfiu1Fby50rpK6ylNVt5gpYFZ/15Z qbXS2lGOfuyoNrynvj6p9Lf6/a6e5TtKG6X8jHiWm6TcPursIlrH6DpSaZ2g Qb83UFo1+rhhXCnfNu389tHecrzHdaMcbdo0aNOuibRXZQYoLZfoXen3ZLVt s6iPchfrd/+0af6Ydt1bK/2jvrRPu70dgh5lhqX9eweljaNP9GfbaCt93S6u 3N8m+sO96ap/mK6nxjNrjHffOeqgXb+mXaa70iVq20Vpt+cXXQcpbSV416BL nV3iPW2h1CPaBb1N04b3ULpN4/x/+n2pUlmV9qYPSj0Y62m3929dL1HaU/Bi Xb9X2lLw6Sp7iODBSj2D9o5Kl2tgXqb0vN5zb/3uFm0eJ/zDhXuYUp/Io70V 1bul8rZQ+kvpz6B3YLSRth+vsscV3Ke/9U3/pfSjnsFo1fGb8C9W2jxt/L5K ierfizbTduEcpeuRSsN1b5DS4JSf98D4/aPwf1DaL+7Rbtp4hMrso+sApaMF D1HqrHSS0olKXXh2akdG6WDh7FTU2FB9ayuN1jvtqnRn1AOdfaEZbaR/R8b1 IKUT0s4/nDGS9njdPtq3b7RpmsbqYKX3df84/T5E6VClY6Pd/L466/r4fo6P +4dBP67Qv1E0pivtIzod0+7f0Hh/m8W4Ga/7q6pfWaWTot209+S4HqV0YtDj 3jaqd2ulQ0XvtHi+PG++OfrC9zIm2kG50dE+fo8KXPoxNu5T5+mRR18PE+3e Wdd/Vsp1UG5Lvbeb1NbhSofoud+i9t6sNEW4Q5Tm0tasv63xSmcEPep+IzGd CUpnBz3q/F3j62eNt5+UnlHZ/ZTuUf45UZ62X6N7VyuVVVc33d8mbTrrCL43 Y9yJQY8yr6quNZXfSXgL9HGvrXG/SZO+QebbjOvvIZy7Mi63m+BbM+7rs8Lp q3S/4PvVx7+Uf4fS48rbizVF+QvUloLu7an8G5V3itIbgj/R3P6Q8t8R/J7g aYIfFlwV/fHCaVC6QXlfKW96xuskayFz6CTln6c0VXBZ+EcKzgl/JdEpCp6e 9lrHusd8Vcl4jdVSk3o58fs+N+W1kDmN9bWtyjYKuCft9adHrFsnqf0nFrzW /qTnP0PwDQWvh6x/rKG0ifmdNQx6K8TvWbEGMs+zNjLns2ZMiLWavErkUYY1 nPWcNZR1Dnxg5vIOMV6HKn//rMfj1rp5nfpzcGIa66SWrm9rp5auk1zXjPrX DTz6tnrKa9UdKj9OabTSXonXzWkprwPM28znLesoayj9WS+1dD36MeZ5nsUa QbdV1MnvVYNW+/jNOrNRtGOz6Nua8S1uHHQ3j3us77umvV6wLrL2dRR8r97X +syhmaXrbsu6tW20e/Woh7zr1a+jlT5Pm1/YPPrQsv5RpnPKc3zLusR1j2jH jqml617nuN8+1qKNo71dAo+1CJg2sw6yJu4SbWJtYY3ZUW1fTm1fVild8/rN /Pq2YBjGoUrnZryOsY5eJPyVMl7r4K2uiXfB+r59jA3Wxl2jLycUvD6xBrFG 9Yy2HS76hyltqPoeVP7KGa9VZylvAutj2u1jnWFuf1UDtGesvZ2Dn+N9staz 9rOOMr9ulfVa0i3KsTacl/G6ytyb1Rr0kHD+Shm3W+C8LvovVLwuUp41YkDK 6yLrXH/Bj6qdm2fME1BmUOCxJh8Y72lIrHusK6ybrIesO6wBzNnM3aylg//T t8FB6/C4z5z/V/AVrH1/Bw/CGsq6ylrIWsW6yloDDuva0GjzpbEuHRXtY605 JuphvWAtaVnzWtZArsz7faOttKVlPaPdLesx9w4J3GOj3cOjjl5p41MvawVz dstaxHVC4PGb9Qa+bmS0razvaDP9/iL4kFGBRx2nx2+eDfMN8+bhWa95d8W3 cWC0vYfG06fq+2sZ92l0yuvLCVFudLT9jKB7o/C2yngthx+Btz5F+f3VnrcE /xq4/12vJkbfWB/HR1+Yz88J+syL50Z9a2a9BrL+sd6y1p6Z8vrFunZByuv2 2HjOY9X+qhaIitJ3yl+o9AfPKOs5926epdrWQ2W3VBogOv2VVst6rWR9vJAx rbH6O9+U0uH6Zt/U9W6lgnBP1O9fBX+tRaK11pLOordu1msz62//uuYTrb13 Cvd4pbOV35N9mBaYXYXbXffG6vqZ8tYXnRcEJ0pjBO8Zeybm9blqwxyltWiH 7i/R9Wdg4Vyges5knlH9mwnnDbWpj3C20L1PlX+V6r0SXk55o3S/pPs3Kr9J besGr6v0pXBfVPqO96/v+mHhPi68q3XdQdde8Gai8bJwBihNVN41yrtCaZrK X6f0hcqer3v9lK4SfKGug2Jeu0P1TVF6TfDyKvuq4NtZY0Szo9KBgm/St/y1 8F9ROkLzx5nqzy3CPV3pdeUdojRVuHsrzVe916v97YXzitr7kdr5tPKeUtpU qbXS66prJ+F2VfpS8CsaDxnh/sX7F/7RSssLb5zewSN6f8vo3h8F81jwQ+fp /rn0X/CKSpPVxlf4RgRvkvG8d6bubyx4I6Vn1c5dde1O3cKdpbSM0iOiOYFv UvkPqZ79lNdVqa523aC89ko9E/Nk8HOd1PeSxmyRBO8m3I2Vzlf7X9S9PoJf 1vUlpQ1i78H8xzpxmp7hiwgnlC7X8/lVfTpG7cqI9qvKe0XpBrVlulJf3p1w 1tUzfFl4pwnvDfV9J+Z9pQN0fwulM/V8HlM7VhHO22rDCro2CPcU0VhbeB+p /ltV74eCFyhNUjpP6SaVna2+z+L7YQwI/1D6qnSX6G2qNg3VvWHqx3lqwxze s76LfYTXU3V20/1dlH5hfo/vlW97ObW5u8rtpDRfaTuV24Z3oHY9p7KfCHcP 5X2q63bM64yn4M8PVf7tyrtN6RTRflv5R/Oti84But7HHMweGd5a8CTR/J/w +ur+42rjY0qrqI6Fav+fujdM+UeI5v2id5/SLbrXTb8HCN5VNF7nGdBn5hna xp5T97cnKb+Vyi8WXBTuacxvSqvEHpV95gFqw2yV+1I4hwt/mJ5zG6VD9Qyu U95DGX//v8Lfga/0keB3lL5W2d3pt3DmwHML/zFdH1VaoH7sJbpNyltV77SN Ugf152j9nqf7Tyg9lrPs5mnWl4K/7WdYIxN/288z/wunSl08U8GvCV7Md6Hr uKzniAtVz1eCz1LbThXO3KzlRvMEP6H0vfDHwzMp7SScgcIfoFTS783Vpq2E 843w11TeD2nLAnZV3r66v4HSB3oWK6s/qzH3KT2XMV81VDjvZzxXHJc3X8Sc cH7G8gHmoouU/61oz9HvDSmr67rwCsrvzVomeFjiMfSu8FOCv0tbpnOZcJ4V ztWC94dnZT+idIfqfSFj/uZz0dw61sX9lb9Y10OUDkQWod8rKm2hPu6t6yLV kdc3n1PaVr/PYK3Jen1+SHX1Ubn1RP9J5c9HHqHm/JG2zOENwXcp727hLhE8 Q2PkBqVhynsq5zXvfeW3U/vXT/xuF6re69W+1UX7SV13Vt62PC89y3lK+1C/ rh3Yiyk9ozbfqTJZ4R+m3/dl/S3dKnojYpw9ovwHsv4e+il1UFoFHrfg7+oD teFBvpf4No5lztB1BfXhM+X/T/DfSomeQUFpT+WtrrG5mlJH1b2v2rBY1zWK HkfM68sofSPcVkrvK28DXddW6qGyZ2luWVNl/mZeE40Pst63j857z7lIZSu6 PsjeT23oJ9yNaQffotp8MnOn4EOFf4hSg8p+nPU++ZuU9+x8Z8xNq7FexNr6 eKylrN8bKu8P/X5b+Q/oWd2f+BvaXu05P/YMrKvIRFkrz9Izn6D0BN+M8CYk /v4mMd+rfSupTGvWPJX7UOlb4f7K2FX+ysr/IONx/6Te/wWxdh6r6xpKnzEu RW8zpTV4Brq+xLct+HnhXxFrAOOOeXec0qXCuSTxO2yv59pOaUWlLZW3hdJa KvuB6r1T99cWPFt5zwh+mvGjNm/EXK/5fL7y5yX+nj4vev+wu9pzjto/Uekp 1Xm2yk+N+XwD4bVPPH43VP4Daa+5lwjv4qzlCRuoze2VFgvvAtW1jnA/Z+wJ /2Clf9Leo6wWZe8Wzlyl9zRnDFD9mwnnZZUZJHhrZNPsP5UezVp28bpov4bM jrVQfdhIOC/q/nGi8QPllH+l3mMP9Xcr3Zujdrwj+ASVP1/wVYInK/9K0dhE 1wfVjtGCz1Cax/6LOVm4ddFpI9yf9bvCeiT6dyq9q3b2Uv42ectNdlS56Wrr tqwJgt9TWlH1XIPcQPdrPE+1Z6LSAyp7ja5XK22utq8uOjMy5jk66nc75mv2 W7p+yzqp9CdjS/WvnPXaCM/Oujle9W0QvM7vyKt0nal0aODCc2ycN+/FHLiT 2jNT7eygvKGq/2ilV9Seqcq/Rzjr0k7BE5VeYi+s6xSln0VrF7XhOXho4WRV 16f6/Q9zn+6vC4+o/u6uvGEZ81QZjZ2c6vqR+UDwt7qXFfwgY0bpePBU/6W6 1x++TjSO1nVN9oHC7cr7ZH5WXZvmLfM6TuX/zViudZLuv5s1nz9ddPoIbwv2 NBnvBZi7WonmMkq/C3dn1nldFyh/dbWrS/DrJWSHCKZYnxO3l3G5R6wdrE23 6J131vfyhp5VjT1y3nKwL8QXzRH8q8rvDx+r7y+ttIxweisvEc5KgpcIboSu 6t0udE4rZf2s1oLn1zNYJJy3BC/JWk8Ev3GnrvPThvdQP+ar/E/CG5Ix754o fa/f72W9F1qsdr7BfkPj6CJdpyj9C7+b9X5qddZo0XlddC5Tu+4X/n1Ks9Sm jsI9iflC8PbqZyelDkqX6/fgjHnogu7nlQ5mLdC9vrr3i+rvq7R81mN1xazb x3vsp7oOJqk9/4r+P0o/6f7jqvMxpY9V/ljmb6UVVOZLPbtvkAMGr75u8AMr isaFKnuB0m6q6/lYwzbMeM+yjtJ7ojcbnZ/qWk7XZZXeUhtHpq0fQiZ2UNp7 Gn6PRT4Jz8Q+TdeJad9fSfAGasNJauc/SgvTvofMDDkUMihkQBtF3isV8/0b pn0f3r9ZVpU2DjKjTM2yJ/IOTlsHw57+36rxKZfV/Y30ezPBn7P3VHo347Ls NTohK0B2EOV7x/5j+8jvEPDGovF2YjqvJN7vsm8foDb2Cx62X7QDXnZsXJEt DKwYD33M8UrHpa0fYH/CFfnLQYxzZMjsIxPjbZX2/mmL4I1PYV3T/dVZo4XT XddtdW839elf3ftAMALXDeN5LRDOm4llCAObrIui/Ucq7wiltiq/tt7JOJVd i/eiNv5PaaHe73pZ7+23Z7wIp53g9Vkr1c6C6hufs9xrx7T1O4trhpFbvSDa hyWmeY/Knir89dTXPXS9V3nXpi0LAhcZEu8V2R9yv7cSt5/3Mo15Hpme6uyu +tqrbFv2HVnLw5Fbj9bvXdL+PSFtnTS/0SV1jef2hGg+rrS80p58W+zZGdvs r3l+wrmZPVzW8utRum6o1F1wsWYc5HsPCf/BxO/nRNHZnLlH9U/V9cKM5bwD 1M6N9XuKfudVNldz3/qrD8vp3ka6V6j5HjJJ4J7Rhj2jHp5nn/gNfIbKXBT0 36hY5kibhiS+t1va9YDPvpi9co/4XnIZy9eQrbWN7xT55y0qe7PSyuijNC7a KL3Dd602dhDNTZU2iX1tr/gOese3UAyd5s20U/NWVc/iMpWrK00Q/vXxXpFn Ii+cmSyl92LVuskWucB+8Y4OUZsHx36fK3pBxtMM5Aas+YLrqief8XtG3n9Q zDkrB9xGdF5n76N0VsYyYr7H3VP+Fg+O+eG0tOXwyPz/Ul1/Ki1AdqVn+ILK XMnesOB92v7/+bahcWrac1//oNcv6B8r3OGx7iA7QdaPnP/UgNshC0x7P9cx 4FFpy8e50ibk5KNV7xkFy4sS0Ts98s9IGz40xif2E4zVbVmj0pZTj477yKEn ZVyG/O2y/s0+sGPWsinqPbNguQ35Y6L8EfEND4l3SD6y7F4pX48KGJkLv5Fv HxXf6JB4Z0cHjcfQu0VbjwvaA1LWQSD3Z74fUnN5ypxcMP7UtL9HdFb1lOdm 8HeIcsNjHI6I712ozbSPi/ZsGjg7RNljA79j4NAGrscHfv+Yb7k/Lm1ZOWOy WdadtkwbnQN0Ng0c5nfuMT8x13SJdGKM+Utz3gseFXknBc1z453unPI8Rft3 jkR/mNPGB0y/0GmNjPHTP8Yea+7IGIvtYjyPinHVP8ZSx6CDrPTkGIOnxril DvLQ9Q0KfL6FLnrYOyptVV86Lpt1N3ovK+QtXz0yxsoRMV7GxHg4LMYo469l /aO/6FBGB84Jkc+a2EuNOFTfWb+in8+49NL746LsGer76ey3C24vfcmlltbN OOfe+HhWPLPx0d+COvcKcmTdOFDvqK/SQVoDJ6jem8XvrFDys58QZQ/Q+D0r Z74EOxp4k/XjGZwTzxNZNfi8t1VFZwe1/Td0jshT9Xulor/vc+L7OijoMC+t L5yxOe9jsznLrc7TvVZ562iwA9kr5FuXCt5V9NZXGzcWzdfUti1ineYZXBDP Ye+s7X3gtb6La7uQ+UyJMYYMaXK0fxPkMMhnVficrO11uHdp1jo+dFpjCrZB oTy2B4xVdH/oUC+KcXJ6vGvoXyHcywtL+4DuCV3dQQGjezpU8+vyecs71qlZ DnI59Qrupf79q2eYhCyOdbmDfp9SsIzvp7R1gF1Ep1F5+ZBR3Fzws+PeFXnr Bq7kvQhuozRD8KOi80jidXKenuEitePk4G2Qf0wRzSmis27ect1yyHngTybA 86CjVdoP3l6/52VtC0C7Hk95LZoW46csnAalIapjN727dnp3m6hvt6m+vOCR yJH0/F/S9dac5WSsaUNU9sms9Vf83lFlOiFnVNpE9LYX/o2CT4OPKljeMrLg Ne4GwTN174us808Tn7+G6rpHNO4XfL3g8Urd8pY/3iyca3OWn7JGr6v2fJW3 DGU4e+u8v/NLRL+r0mfCuSlnfclMYPVlX9EeLpwThb9e3s9uMvI0pQ/5/gpe B1lXkC+yn2KvwR6UNe3GlNebWZF/nWgeg2xEdB5Sm6ervZOQ0esZviparXOe uwbG2EYuCh10E3ur/Y3Ca6PyFbWnUWmonv8gveuv8+ZjWsdYEEpqbMHjmzbt q/y7Rfsrwcfp5unoi5Q2FI2ddL1P90Zh26e2PKT7j+YsO7uX70z1noV8SHgv 5CzXQV6zd97yyrmCX8pZdoIM5DjhP617c/W7i2g9E/KpswuWM1C2prpWy1lm AV30VrR7YsGyBugMhk/PWRaxodrVXbT2173n0CmgL1d/19Tz6Kb8PzXm/1G9 Twi+nXlL154Fy25YVJH/IJN5N+S0Lwj+GJtG1nHdX0btOTf25MvrulzBcvsx ej7fJ95Dr4heT3R/0O+K2vMiOgmlLfMeZ4/yzmqW9bPf7qr2dMp7r36d6pkU sp6acKpKJ6ofrZXXVmWfFP7XylsYsu91Yzw171vVvhWUZuv+aLWzEXma6m2t 9qyLbETt+Uj0S0pHCe9s4f2aWK51R9Bhj3+2cH9m/ladaeYB3hnzntrZNW9Z xjnC2a9gOUgaXT9jTfC5ovlHYhnO+QWPj1fSHpuvxvhkjL8ebX5U7XxG7bys 5O8Yuxz4nP/VLJdDLrSO2t9J9P8W3Uk1y26QWSHXgWaT0lPq0/dqxwj162jh DlHaRfeLWts+UhuW1bVfwXIh5B4HhUwJ+cybKnOn6j9cZbrnPS8gp+2kMk+o 7rObLAtmDWyndD/fQd7yohtV7zkhM0LeQL/Q97HffyfWSta6hbHeDRHeRqq3 lcoOzFnHclXGuO8G/v9ylgXwe0/V/YbacKyuFxa8RjKfDNS7yOS9N75b+SME r41eIfFeGJu99WJ/ir7ptJizgcuiNVz3anxPgo8QnBO8TsF7Ueb8PyrWH3/N uqr8TWIfvTLMEfMhchHBRxa877244DmRufEA5Zfy3tftIvovqv3DdD1ZeVsg y0eOwnhhT6Lfl2kMJHp2BaXdhfeq8M/V9VLkWtGG/fKWtS4S3Lbg/Sp8V6+8 5xfmK/ZErBfYGe6pMXJA3rJU7HOwaWlZq3+J9Zo1/ocYk6yn2Pd0FXx1Yr0w vMMhgQOfgB0SNlHwmd/HGsz6u5LGwGvqz4GUyfi7zMfc/F3Mz+AvDvroeoGx a90qaNK2zXJeS7FlYl9LGWyN1hL9NZUuVB23FLzG/xZ8Cf3Croc90S/Bk4zJ WRcNzsMF28L+HvwHtjXY1ZxdtX5rSdp52MfAm2Dj+lO0E301uiX0SvDrwPCr XH8PGN0benGe4dDEe3zaf0nQpE7k8MgFkQcmjA2936LSSWrDiVXL07GbZe90 e8o8EzY68E3wSdjl0DZkDOgH2ZugH0QPg94FfTf5C1K+pgJnisbws8I7Hfl8 wTwZtka3F2wbAHxk0EcOgI1PLuCRamc/taljzrar5MOTXC74ssS6Fvg9njvP /Ff1Z7DqGqQ0VffWL9jmBR4QuvRjjMb0A6K7MOhlg+aG6B1y1p3/EjTZX2yp /DfytlvZOrGdBHZlx+naWmlqxrYk2EFiA9mL702/d9Lva+E9BDcK7pS1PAi8 7bP+jT/COTnrUNA7fKg58AF9f4epznOz5oN5r8jKsLcZz5gJnQj6hU/0zD9W mso6zRjTdUzedkN/xlh6omC7VdrwAzLngu1EJrPeZ6zzol9cr+Mb1LN5X/V/ J5yj8rbdZ54cq7x94P/gv3P+TpDfTlSnO4nue0WPN8YMz/k6lX1TOPsIZya8 IfMgMnrRH6Z7rZCZkafUK2teFZ4VvfnFOdtuoDveNrHeesfYr7Jv5Vs4AX0C /HTGNmyMpdvYJ+as7yT/1oK/VfTN2FEjD0OvjS0FtlH9hJ8reV5eL8bCqjEe 0L20iW/hF43hJUp54Z2d2OYEmncUrM+m7vd5BkqHKv2i9EPBNhcvoA8s2P5h p5zlmtgE/10Juw1k7AXrONCzfKj3+YHSzaybyr869BQn5W1Pxry9me7fq3vn 6Pc4+Cyl7fV7Jvw47184l+u9lNSOIroW0Xgka1sm9OPohtBxtA6Y54b+nDmR +fBTte0TpWf0u7u+qRtFo13RdpLgzEhZDr9BzDno+ZnrmK+20fN5qGD91C9F 66VeEny/8joWrO/FZoDy6wQ/smHQYd7+NuhiB8JzwubsmpztNLDLwhYA2q8y B2asR2rRbXeIscG72ST6yNyLbuqmlPX2mwXO/Kzt5BgL6DTBn5myzQA2aG+m 3A/sOOnb47o+VvC9F6Ic44c5bfOAN1N/b87Zdmpi3u8bO7FReianJZbbPVXw PfT79+j+91nrWOcV/K0CXwZPzr41bxsdbBbuoC7lP6x38anydxH8onAuAD/j +WaScO7N2X6A8fZ8wTpy4Ivzts/ZKehtHeP8osQ2SPxeq8FzE/YwL6vsWgX7 CR2heenjxPZa7TR/dhK8nVJdbahpfFSVhgvnk8Q2ItsntufoKjpNwu+s3zsw Z2tMPaH8U5hrVPaSvNt1v+Avdf2CfY7g13S9U3R2qFo3zzz1IDZy6vsu9F/t elvpNuG9VfAeGxv4Nwu2O2HuWKS8b/LWs1+nMv+Dd1XaMTEeuq1dC9bV7xrj ZY8YM7zjHjEG4BFWirH9Wsm2Jrsw/8Mf6Xl9VvQeiX0Weu2Ryj9R+b8VrWfe Mr6v10su3y1jfTj0/+ad5m0/hHwFvTVXZCxfFGyzwvu/Km88/NP2KFjXDfxW znpr5lh07T1jnKwa75j326LXpG136Pm/Jvzf9R7v0PM8Xm28VnTfhZcreB2Z EPMwcoOcnn1W6UDhtlNaX2mR5p6T1cdr1Jfvitb/8l2V0tYZ9o5vk3r3j+eJ zpr8YtrzDfnopn/MWWdKf/bN2h4HW7e38v4+gS/PWQaBjdy32I2one8XrA/s E9/yI2rXCdhhKP+DnPXWzIHsOZgflk1bBo4Ok31Bn5znDtaJLdSPE1X2prz1 jOBj2zOX8aPfR+j3ZwXvU2nnWPV9mspkSx5Lg6O/Hwtnt4Ln7e3Unm3RGytt zPyBfCTrZwA+tkz75ayjpc9f6Jm+o/SV8BaK7jtKy+re4qz1++B0STwmsNu7 Tc/hVqVE7V6gcm8qLSfcu/KWQdHmc0M3e4PadoHa8btw11Kag+wH2Z3S3+rL X/BM8LKh08Xm/yBdDwiYdbZfzK/3IJfIO//rgtda9l+dRX8HpS2U/qjZrhSZ CnphrshVuIftPXtbdMXA6Iuxix8W4wfZzLHxjmbFb2Bwh0RZ5u9hMZ8jMxkS 9NGtD4/8DurTKeprsWibEWii+0C+jE8F/P73mme+LZgf+kDfxdnwxMI/Qs/1 8KptMjbV78fy9tesIz+r2v5ronC/L/heRfPbMQXrmXZOPLfhm7Nl1b+xe71C 9C9XOkx4W6htizQ/7M+3pHfwTcn2ENPhddF3qa6jBM9HBqL0q+AfC+Ynuifm o/FLulj0LlI6KvKx0RyVsR4SPlN/qRtK1nmx7h+DzFn0XlY6VfBTefO78Oro kuDb4U0pi7z/NNaXvNezYt46TuigVwQfPuqFkmWB1LGR+rRhg9eQjurjd7oe ULcdNffh645RG1dIbA89VfSPFbyl4AuEuzXPAtmQ8hfpuqRg/REyevY46IbQ T+zMXKpyryXW4Vwg/F8K5tGR3aFLQt7PvgB8ePi/1MYNYqwim4cmuoDN1M4l qvtzpbtFa25iHx10UudHXXW1JV30OrtPYp9R9Kn3JNajtvzmumvsX9k3wkdt FLrW9VOWSU8Kmq0S+6ByD1k2dSGH2TXKbhH7UcZq+9hf4hPC/hQ70wczS/2W 8bPCzwn778sjf1rRNoOXBe4Vkc8eCz8K9lb4fSHzQOSGrxQ+U/hDXZHYt/n6 uH9l4ODjDJ08823G9/OxX4MmPD96AOqED8FvmvIil1q2aJvuq6Mt10RZdBrk IZPZqmC7KXyl03X7Tl8XfcPXjDZS57QoS7mpURZb2unRzoEl+/9wb+uC90vQ wQ4W2vNSlvmAfwXtTOxXhx3ynwXbnQOzfsIfsp5ip4Xsc0bIDW4IeIvAYb1d V21eR+lFPcRrRbOv0sfKfwc5Vt62jqfr3ssZ88PL6H4TPFTWOmx02fiZ3Ke8 e5UOSLwOzow2dNbzWy7svZs0XutKp6mvV+r3wozp/yH83/P2R/ir4P5gF7p7 4j5hS4+9J/3FRwMbbOAH4Q2Uf2fGNtJnpYw7gfGQtf009+gHNuX4Wt6eNe6s SLODJj4ks4LGAvaAeT/3EUEDPw58TfDpAHcVta1zwbZot9NOeMWC788J/JeU 92Ji+9Z/avb9AH/PxPb62Ht/qHo+UHpc8HPKezbxWH476ExO2SYGu37q/7vg cvzeMfZZ0KTcYzGWKDc32kBd9wedhXn7XfBtVQu2O3+A56MP8r6C92b/FGzL Sj46sYfiG3w37/LYNK5QsC8I3xM+LdB/RDj/K7gc7WuT2H+T8thxPxLj/zv9 ux79in4vH74FjK3VEvt20gf0S8/GXISMc158j3yXTwT8b8F2jzw3/DvBeTJl v33staexp0Mmr9SKsYr8J7GPx0UxLyED+z5vu3boYOv6ZJS9PWf7b37vm3gO hW492vaycJYwZvOOyXCbxvSqSm2w/Urs19FiR84VPpw2sDd9KfZ08ILwbB0C hiccVfN3hj3k1po8WqHLzfqd3hXvkX7wEPBVmZWzrwV7u1SUY+/P3o489neX FW0viB0r+zmeN+smPlD4LmCfyXfwenwLs3O2+8ZvK5fYpheYsYy94qfMn4nz 8Ampl/28iJvwN/wosijBvRM/O2yJX2U/pDQW3V3B3ye2kSOztt8G7pPYdwob rtFxxY5rv8T3qKuksg+z/kc5bCixn0zgrbP2HW5Qe97UPDOkyT442KZhS91F v5/TvRX1PHau2p6bOQgbUvpVE53P2KcpDSuZ9oLo70dq96PKe6Rk207ylxf+ dqI1WPd+UN6Ikn1U2NOgU/o85sBztBhMVLoWmUdiffXRKcP0DRvso0r2CWfu PVb0Pk1s0/+O2thTaTz+GkX70HySsf0vtpeptJ8z+kbWa+Ys8lkvDkyMC010 d8AjUu7rW9Gv89Suc5WuYYw0+N3js/dD3t8GcT9ez9mmmW92WT3nb/O2F11V 8IKc7Y33KdjOGD8O/JjYv/6JTEN5i/NhUxr5rEFfqL+f8yyRO+XtN8J3xPqG nTJr3Iyc6fF724LnHWy28Q94O76FbeP7A/+G0PN8r9+b63ltVrfv7PE5y2iQ qzfb+Wa8j0PWTj5ym39F55+8bVPPCntteG/2EOy5+EZ7F2wXDM6M2HuB11rv 53/YpCq9obn0poJlh8fHfqRFNsQVuegJOdsn842wR2KvxJ5xsp7/D6L7Pfon 5M152wzTLvwimGuxG/4t5tsc83DOts3sudA5Nqa9F6TN7B+xqyUf+Tn08J2g Xtb7n1rwC7bNpW8NiXVxwN/lbOuLbcDnOdskY2+QsM4XDHPF7hmfi0zBOj/a w/fIZvzhlG1++V4/E3xwwb5IyA1/zfvdY2PMeo7dNGv6gIJth9GNfpGz/TQ0 i4nnDsryre8e4+CBnOun/Fc5+09RdyNrMntL9kEFX7GFZu3jyjP8sWg7ae5V Eo916m1gLEff8a9ivLdOO294zD8stth1U/dFenc/Y/OsNEXwpLppNxUsB6F8 h+Bx6CN+O+jS903b1xZbPnRPqxSsr+WbwjeK76aN8lcs+Jvk98CC7bTBwd+r Ib73lUq20Yc3m8CcodSUtf4NGTJ6vUEF20Hjc1VL/N0CnyXcm4v2gVoSdKF5 ScDptGVB0GPtw4aadZV9+hoF+0/y+5awy14u9vHLBw77XfbV7Hn3DxkCY3Kx ntUh8K85y5bIR37FXpm9Mfvilj05+27s46G5huCvNIaXJakfI5S/Sta+BIcn 9ivEVvbhxFd4+0ML9k8Ab0f15Qy1dc2C10zKsW6uLHor1Gz7jxyRfS1+atgQ YyPMvD0w9KTYEr8kGv+I5rI502gddMBdLfBZx4CxhXtYc+1DSocXLBtBXvJW yj4ElF1bOOm8bY+pA1ti+rJd2jpWYOyTsVXGnxk7ZHhC/IWxvcGGGhieEX9B 7HKwN+Y5oNOhzPB4tsxv9AW/ZdqL/TL2ydDgul7QhN66ATNOGbesI/21nmaQ gSaWebeNstgCY+sLm8J1g4DZkwHXYi+Jvg87W/bu7P+xAXtUz+YRpWMLxqV8 t9gTs5fGBoy9JzB7Umxt2K+y9mEnDLy77h+VWH9N37GVBt4hbd0DdcEuNeZt m8v3t0l8g/Tri/gm+R6RGSA7wGYVvRz7fvz4sIlFHtA3bZ0yMLbNQwr2EaBv l2VtB0ZsA+LYUAd7ptWCJrKIAyKfeomlgF8j/minZ/0bGP9mYGyM0Z0iX0C2 gKwAezJkAsRbAN4lZTkBOIfFs+0U/W32G81af0dsMfKRnWCDzru7KGX7P9pL TAWeIXbt3EcGsF088/MDRm7xM+tIzTZoLe2ABrS3j3qv1fWarP35J+h7v7Jk v45Xor/Xpexfy31iEOCDiA8xvv/0mfgSxPPoGvl3xvPBv32HeM5bR9+xoV8/ +gJu16BzbcDwk3/m7X/YvN/M+zf+Neg/d465gj0f+0f4YvhZ4IdStrXHR+D8 lPO4B99MXrfIZ9zuEWOe9Yl1Cv4dPh15MWs9e0XyWR/hB3YL+i8EHnt09rLQ ZD/bLerle2cfBH2+J2LeEA+glLKf+l4xZojPRj66XZ4T+fgS4reOjSN2jbSF uphvj8lbn4k/O+V6BE3kvfsGDnEEyCemyxV6f6NyLsMVuxToIgsghkJzfI2C ffmxNyY+DHFviE+CLzZxivB5xD8beFzk9w54bMqxG8ak7FcNfF7AxBe6L9py YLRzp3h/k6J+aEED3AOiLH7kfQPeP/LR0+0VY4nntl+UpQ3QPijo0/b+0X5i 2dEvTX/N14OjjwMCh3z8kgcEjE/moCj7YtDkXRA/h7g6bVP+TX3LBu7AwF8v 8MCBNjSviW9hdIznHaL9lD0kaK6Ssg/9Yf95J4dFv9hfot9k3SPv8MinHOWn xfd4ZHw7xKc6Ir5N9j3YmrL36RL54CwIOsQAIU4Gvrr4v1+sAXh+3TrVvhWv 09T9VtBn78kelL3omfFehsY7mhH5zXNCyvm8U3zTj4nxMyzqoiwxrvg9Psre kHWMjylhH8s+cVjkgcN1WJQdGjSpFx71uOgjdnfoQB6PvrNf/ZQ+hi4PP819 1a+7EsPgUJb97GcV66TZv++kfedoPYO1lerK+7BgnRByGmRMyGqQoeJ7gtwD es0xP/S7o57flkrvqh9fhH7g5Kx/43OO/xexDQfFe5+CvDexjpH2nhJtho/D bhBe7je9lw66v2nB90dGm7EpBAc/PtZe/CJYf4k7SNuQ9Y4ImsyRr8WYoV7y RkRdjMfT45vqHDDjFH8haLJWIvclJheyUurAVwjegJhUxLpizkAWhwwU2esL WcPzUoaJCYZsiXmQ+FlsOcAjD1kTsSqJOUAskYbAnxff0QX/+X7PD3hc4CCr mhY0kd9Oi3ZCk+vYgJEJA9MPbF7QXcHrMn9iW8Pcu2Lcmxyy0vPie0RWikyy JW9SfDt8j+cFTP1nRb/6RZuZa5Ank0+78L2lXup5MnG8UOomrtoV8Y54b7w/ eC3k/ZfHe+TbnRLf4JCAR8b8w3hi3llNL2SVmvWBjB/2AzxLeAR4G2Romxec z7iCv2QNxe6HOJ3EeWC+Io/5GXse8Ikzg/3QdgXv7YHxkZgYz3BQlGVcIa+j LtZ3YmoRqwtdQ9uA14u1mP4+FHlXBc7AlOMxDUiZR7gs2s79qfEcLo38XWIO nBz1Ug6+hTl2apShTvQtUwPmvdLmAXE9J9pPOcoTT4m4cNfHeLg1698NsX4B LxdjBhzymJeYu4hlhLyaWELMD9Mjn3dEHveQWbMWwN8wHyMj5B4y6mFRhjZQ bnrQvCPKXhjtwffvuqA9I+hfEWOIOYE4q3ybrHFc+Tb5TvElwqeIbxfd2y3R L/p0a9C8JeCGGGMzon/0mfutYt64McZqS5ly1HVz1Eu8CtYJ5mp8CuDD4LUe Kzu2wj3RxtnRvlkB12PtnhUwvvPYWTO/baOP/lGVP7rJfCjxIJiv8HXAZwr7 9i4xBo6Jd8GzgyckHg7rL7zoJWEfDV38sijLs4Ffo53s1+jbHfHMiUlEXc8J XidxnET0G+g+7ot+EXcQ+OOU+UvuI5vFxwL5PHsxYiHAK7P+Eu+Q/M8Fr5U4 Fs/d/3kWK8eYvDbG83qJYy22xNrgijztQ+zetaerFu0by75367S/V75bvnF0 AdjyXZZybCfgf1lPVaZt0f7rxAxGPp8RPpPov6J7Rt52g+RfnnK8R+Q48MjE SSLmBTpo+DFgeCJiGRLHgpgwJyErKJn3nFGynhj7MOL4YftKHJUD9H73Vyqq vpWFv1KDYwMRswh7DPxBDi/Zlpjf6MGw2UBOC+9HPA74CvhEYnTAZ2LnhryO ueWAwN8i+HraDw9PvBnKouM+MeR71bRjCUGHeJisXaxbLesM8LyU4xYRL2Nh ymsR69YzKcusX4znAM8I/HTKPCDxPphXn04cG4ffxAJhT3VdyjFCWJuZx35I eS4Gn/gi0GdNPDXwGYes4cT5gPdj3gUfuQfxSomrQUyYNRLH0oIuPBd8HvFY iIkC/8eaRQwa4n+8kzI/SL/GpRyLZkH0kZgQ8H+sO/CAwOyp4b/g7YgzQ0wd 4ke8l3LsHtr2QspzwNtRdqeoi28QW9534t2ht8J3CXskYoHQTnhRfGnx00Gn f1vNMadoO7rOD6L9xGtBXrlS2u39MNqMfJh8ZJjPqNzTStvE8/u65Rnm7YPW 0paPoi+8/49jLBFXCpjYLytobC7f4Dhlz+c9Vu4P/E8C59Gw4yDm9lVF2xQS 6+0EfVO/aYxfr3S84J/QL8CHitY6SmuXPF6+jDHD+GCcMBbWK9nejvhWz6kf zyrthe654hg0+D79EfjPpuzfDx3GIzbN38S7eKrmGDH8XhFGSX3pUvL74f3x nrGHWxTj4YWaY8QsirHzXYyfw/KGia13imhsIBpT1df2mrDrSqsKPhxdXtEx i/Ex+jbGxoyKY75gjzhZOP+G/8mFgv8pOvYWcYGQ07ZCV1Ixv46+ZpeQ336S cqwI4j1gt7M45Oktsnlg5OQX4zsmvDNzjj2Cnwp7CvQtS+Jbxh6YMcZ+Af87 ZGHIAUZpnbmEmBsl81HgswZhb0Ycj4bgt8GHN+Yb/TzmAfw1Gc/4KaJXR7fE fDWv7NhAf+rebGJjKN0Wfih/xLvrXLU94l/xPsknjhYyS/xS8EkpVu0T9K9+ d63aHhI9HT4k+JLggzIr/DJRBvet2reT8nexnoaNUblq36d0zv516GXRyRL/ Cd8TfDMPFs6mOfuetGu0D+ehWn93UHpS/ZnYZNk79mArph2zBPiKkCvyTFv8 GfEbxD9xYbSTvmBbST7Pn7WLeli/mnXIOb8LxjL+JnwX5BeDJn6O+IjhQ7RL 1TrChliH4TlYl+8NGH9G/NlYp1mjwWmMfNZh/NpYi/F3BGbdvlTvf0rdttvY FjEfMRcBY4+E/2Bn9f/psv0VGUf1yGcu4Rkyn3ypZ/ZM2X6M+Mpgk47Mc2eV fUH55+i6q9q+ddl+hzeq3odU726q9wHBZ5ccIwo7eeTWPLf1Gu27eEiTZajL Bc0BxP7JhT9Oxb6RPCPsn7GXw38K+TwwflrPlx0TZKcm+7dhswlvgL/RCvEu BlftT4gOZKba87Datjt2pmX7EK6i/D2r1oGi9+wjeLuyfSIfxIeu5JhP36q9 b5btW3gGcoaS4858pXZ+WbFP4N5qx1tl+yJiC9PsD5hyPCvg+9We3YTzCrbA ut4jOreKziil9QSv22A/QmJD8d09JPx7NN7HK22luibU7X+4pu79rrzflM7E b1X5L+n6nvJPKVk3TGypx4T7e2K/OHSh+CyiJ8UmFh89+CV8EteOurALBRde YrLacKHStyr/JPNV4jKnYHet37sp9dOzml30N3ak4Gfxb1BbNlL9zxQdBydT td0ksZJrxDit2ieNOttHvUPV5+fRQxY9ZzDPMG8MrNuHDbu0e2v2qcPmsCAa eaXr8/a1QB44Xf0aJzqXhx8jPlu8c3ReT8Tcha8cPgIrR/4xTfZPo/34JKC7 mpVyPBZgdFjbqp5tqub9mTM6xNzC9wGMj9vQJvuSMXaJ24PfB75FyChpGz5z 8Ijkv60+HVj1vEbstoG6ti+67LNqf2elF0v2VYBvnM1aX/U4Jgbf7eiadf9N lcnXvS5iT96JcVv1PA0fgd0ivAQ2kqyjrKELVOayuu+h/0EPhP/GW0X79sBj LBfXr4TfS/16l80RPgqifUnFvkpvFB3rELo9K7bRx26+V1zZd8N3d44xhs8N vgnoArCtho/nO/0o7PS5hy8M+Pj44DeEfRo+RNgl0k50VcxbnWKOQoeA7wCy 984V++pQhhhZXaJffQJGN01MWvDRHe1dsd8APgDrNNhfgPh72DJ3i7UAnxTu 45sAf71LfBf4m4CzbuiRsPlEl4T/CDDxbbCvwU4aextswfHlwI8D3xPo4MPy mOp9ue69BfpHbMSx78XPA3x0+Ox1eFb4MfUPmtgGtDxr5NA8u57xbOH14Pnw ZRhUt10m/UI30qyPQQZLfJSK/Qz20fv9QO+3UXj3C7+z2vKJ4I+L9tOAT+sT bcOmGP8G8n5Mmf+jLvjGQt38FjYk+4h+r6rnV2QwvWI8YL+Dnc+roXdF1o+c n/fDe8L2Ab01tu6tQ18ADnwRNuXkY88Pv4ROd/XQfw2ItQO7a+wfsLuA/v5R FjsI8lv0w9hvo8/9I8YHYwNb7r6B823IuZBxHVW1rTNzGvfBw667a4yzNkH7 oCh7jHDXKzp23PFNtiHme+uu/G5Vr1fIzw4MfNY+2o+N66t1f1f9YhwxnrAl Zi/bP8YV9l/YZWJ/gu0KMPoZ7NywmcFeDvtK5nR4N3hFbESx28G+Exibna4V 20RiA4QdJlfsFbGLxN4RmwHsdrAhxE4JfgMdFrwH69LgmLexowAfu0n29dj4 YefwR+i8sKvE1nWfGKvYMUKTeNT76vl8WLbPCXY9Q2KugJ9BvvBAjP+jYq5g PgEH2zn4KGx44PeWhD0Ptno3EqupYjsfbOmwqcOO7oFoG7aCu1Zsb8U97DSo C94JOzXsA9FXsFdn7kU3i43H8JgTiAmD/yc6d2x5sLlpGV/Hx9hjnWe9/yzm DfRt7OWxhcDGAvuK3SIf2xj2muxzmZ/BPzHysbU5MeYc9g3YpbCnwA4HGFud lYMmdkvYz7CfZC/J3hEYuxF0y+id0Tej60fOAl8EvwrcHIssa10JNgXIitir s8dkv4tsh/0Ufojo3ljT/q7aloEyr0X72dO/EmV3jHUPfNblu4MOe2j26OzP WZsWBMzefb7eyzylcxL79eLf2xwbhHms5BgB1+j+Vfr9UeL7+A/jO4zvGXBX 0bys6lhsxGoh9isxV7BnmKNyexcdcxnc0YGPfRy42E5kNR53Vj2XF23HQVl0 fB3iGcIzXFJz/Ef2ZeybkHGwXx5Rc+xW7LWJt4ZuGBuA89TWcxP7tLF34H6z Pbbas5zq2jXxOMcGGxkXMmrkVsistinYNrg5fjnxE0uOici3DD7rwpZRF+sg trbgoiuAL2QcwnPy7UCTtRWbRsYztov4syLHQYZzc80xzfl9QuL47+h716j7 nCrsVU9MfI9YtIxb8pDhrFV3/H1sN1mDWYuh3Z5YHiXbmy+p2geOe731fI+v 20eWuO3Q4ywVYpOQh88svBIw/BKKfb47YhfhX4nvK7au+K4Bw2Njc849fNHA 5VvFF/YuPbeZ+AsrzcjbVwo/KcpdFGUZ57Qd2Q7+spfGN35EyfI7yhAvjhhp 2GYwXzJ/Yk+O7SfwnJRtCLErnp9KNduEYS+NvG4jPYchJdtdIotAToT8AVtq cOAlkLMgb8F/8+OSeSN+4+uG71tL3GzicrDfxBcSOsiaOMuNfPgibKCxhWYs rJrYNpryxJ9hrCKLwyYanCdSjoXPe0bvjD007WdtWT2xnTT2yh+G3fKjcZ9+ YieJreWM6C/7WvbhnH1DrG72vMScYf/GPo74NtRJ3axTxBEBnzkcG8/roz2/ Vi1PosyeFfOX+D8eoLFxd92+NsTfuSXmKGIPE8sbme2aieWG/GYeA+fLlG2F sRlmTTiy4nj90GAtIP/FlHkq+Fh8S7FzxscV/mR1rVNHa9wOKdu/lXzsnbmC hw0FPkC3RnuwcZgVZdfA70nlhpYdM5iY18g2+xYdRxt5Ff5Gd8Yc267q9Qu7 WGLNzIl5cnjFcefJI44EMinkUdjOggtvhQyL9n+Y8hxL2V9Ctgk+McPxZ5ob NJHHIZeDV9y3Zp6Y38h+H4vxgB4AfQHrfLOOIOfziYitAgw/wH1sIrGHRHkI /InAdRPrG7ABRfb/cMw5D8fvz1LGvT/w/w57UfQPbRPrDFric4OP3H7txPoG niNr28NBh7jOxO0hxvgjec8pzCfIQojrwvrOuRH0CznMpJh3iKdNvGrsJ9DJ npz43Ah+E0MaPdCZKcefJv7S96mwh82Z3xmRuAz3OEuDuogvNDJxvH7KY8uK TJC1+9TE92grcXaI60K8GnxssWNmb84e/ZmA5xH/R+mkun11wcFvdyBy1IL9 n4nl8VzgwythUwq/dIVwDi46vtHlgYNP5cqitZLSnJrPpOM+vrkHCXdo3XWf WLLPLvf21dgdL7g/vkk1x0QmBvXJJecRJ+luzYHz6pY9cA4decQ7ukht3yhx 3KJra477TMxqzhGgndh4X1VzvGliLa2CDEy0RorGwUpTRH/jxHKd16Jf7IeA OeNjQ9W5gdKSms8TIZYCaxwxs5Fl4N9KXGrkHfj/nlqyLy948JLwndics+8E B/5zWbXhG5V5R787CD4Jma/quJZ5vm671/V0LTRZjrlK2KVTFhtXymVDrot8 Elkutt/gwh+idyBGOLYfSZNxiN3E+RDkI3Njj0j74f3gAeEF4fcyYYNN/sWc tZE4ttHmVceMxpe3Glf2NdgzfxpjjzhCnwQ8uOgz+ZAXNQn/u4jv9nLNclXy ifkG/mXCP1B9noyMIDEvynjGDpk4OcRbgE/GvxZba+xYPolxT13UTzuwqcaW Ghz2vydFPjjwI/DZrJn457IPh98uh1003zp7bvI5q4I4ctiKI6ftFmXB7xf5 8MDYmX8b8PJh4/1E2rbm2J9jVw+PDN+M3fWigMHH55oYPuxDic8F/HjaV+6x HyXOz0+Bgw354oDpy9fRnt6BTz4xnmjPy2n7NSyO8Y8+hzWNtQNba+IAsUfA 9npJwKuGDTZjlVhBv0Q+8baAn6YujaWviVXTZFkbMjf2qn0DZs+L7fPvAbMX BsaOGhtlbJXh/xeVbbu8X5NlROQje2HPiywG/9D34hnyrJDD/RU42BFjrEL8 JWJDERcFeS+xpICRg3HlXou8/3+Bc3LF5xm02Df/E/mpsE9mz4KNMjByOeKF 8ayIM7ZC1AsOexr2OeDuobbtXvX5RZ/FmMSP4N/AAR+ZfSbgX9WGvnXH+iNe FLFM4OGJO8Vegn0EvHYh8l+vOrYj9xboelfR94gNQKxb5O1ck4CLASMv4spv 9vjs94uR31nf0Q41xz7h3BPiURGralTFZweV4pvDnpi9Hba/2AAjb2yMe+xT iB9DPrIR9i6NkY/ssxLw9qqnU80xtJC5lwKfttFu4hycUfH5H5Xgf/Hhhgfu rf7uW/UZOL+Kxi81x4obW3Jszqa8/Y+Jc4htwzTRua7iPdjVFev/loGXUZm5 Ncd54sw4YkIST+m2gPdK2QeE+Wm5tM9YJMYhOpQ79a4+THz+0x1FxyJdFtmD aI+ru0x/taVfybERb1D+9IrLnFLxOUK8e+73DrqcIUIMM+S6xGlsHe0nviJ1 w99yjg79wh776qLP2GkdCZi4f6Q2URa+G10n+0Ty0P2g9zlWNI/Mu23YcbSJ fHjplaKP8M+rBk10pdCBl+YsLM5C+SLlMyE5HwP+ZCa6A9bvxLGIibdIbDDO 7eTsC3ikGyvWZa6T99lEnIPBmUecQUk8SPRKxIfkN/zeLHzNSo4XCR/YNnCI bUj8DmJ3cH9ElOf8IGK4oYf6UPkfIG8pOa9d5HM2UfvoV7eK9T385oxcYioS B4M4OcAzg5ejLPwVcRc3jPxHauYhiM1FfBLyieNxkvJ2zLvNJ2tsPYodR92x NTaONnNeLjD60L9qPl+N/sDLEicPOdjqKrOa0hO6/0rJ55nhW0MsvQ6B07pu 3og4gI8XHbsRGL8f4i8iE1tO/MOySqNLPqMN36p62jEatwgc9nDs5Yi7yHkJ WwaMjo589necwU0MlH/gn1XniiXr5s6LfOwQNq059ih7rHlFx3ckXuSqamcb fAtr3r8RuxFZ4ksln/mNfxsxHbeNfHymiPX4JPIBvZ+bSEXndYr8h9XOySWf Q7BTo2NEXl333m77+F5WqZv/ow30kX6xh31EZS8u+UwGYhTvGWP+CXwDSx53 xGbEr+rzlHVrnWMMnFyzPo53DN9NPvEbT607PiL52zY6FuQ1ddveEw+SPctG NccJZR/DWoC+hzXldnTaSkcWvb/ZKcb/fcJdreTf8DbYHMEXDah7XWdNZ20H JmbjRSr/TeKzazg3jziNxG5dP+yViOXI3oF89ObovNCjo58ir3vk096u0Wb0 qbsGnQtE57S64x2Cv2uU3ST6wvp7scb8RVXHQbxOz7NtKWwxso6diJ0YsXP3 iG+ZGIz48ODDgi9Oj/hOe8T3DLx+wMRmHMF5RyXbiaAr591hS8B5aMQ5JIYq +mFkAc2xZ3OGP4t9EDjsYc+qm8eCvyKvV+QTU5G4jsRORF+7T9AEB5g4iuxr 0eGyt3019LnkE6ORePDEYyzE3H5lyvN776CJDw30mcOPKPqMJsYZPB68HTwb Z4sAL4q6egV94iwyrxKPC/z9A6dY9/kf8GjEsTko5rHvSj73iL1a87kgefNs nDUCDvuyjYj9Uve9EVXHHGS+Yh7HZgV5ET5rxEVC90E8QmDiI3HtF/nEKwTm LCH00tTJ3hDZIbwhPDM2UMT8ww7qAOX9pjKVom3KsC3DpojrwICJTchv7M1+ i/iBnHdGXMNDAod4gdhGkscZQtDHJuftouMDHhb0BueXlgMfXSr2BocETGw+ 7IovSdm2GBi/oSnq7+SqY+ONrDv+35GBe0Tg4AcEjC4MPhObA3hIzjwBJkYf cmn4UXhRYl4SPxP/FOL2cS4KOMfVbPMA/b8Dn3zi8OHTgt8Ksfooi3/94Ogb z4S8oUGTWHfIDfHBghdDNwyfhg0F/Bm8FvnALTLPYwMmLh9x8+B/iEEHTJwo 9GTEG0L3hJwSeSVxh/ADPibaxj3ykWEeUndMI+6Rd0Lg4xNG2+Dl4BnRi8MT wlMzftlfFGNNfyBlfQj7vS8CH5g4e6z34BCLFX9B4vXBJxPr9ZTIxx/u1Jg3 iBMIf00sQWLycWYFdIjDx7klxPpDp4nOGFkoMQUpC79NTDtiHRBLCn6CmISP Cp6LzYl+H1NyDGjsL1gjiDOBHSi6s7TGzmF1x+jjDFNi7DXLfwouAz7y7dEx 9ojDNyZgxtiYGFech3Ja9AV7uLFBh/vjAoc4fmOj/eg3D45903PRfvQVxGzk HLMf4rs+K75l5g1igdFXdK7ENiVWA3wJOMRKQ+57dswJ2KIBI7dEH31O9Jcz 8oihh/6aOKjQwZ8PHTj56Auwe8UWttn2s+CyiPHgucbH3EUsOnCwleWMkZPi vRP7jvZ3zth+kxh42HCSNyn69XvZ57VdkLc92IWRT1x/YGw8kE9eFHMF8UiZ O4oZ13letI1YeZMD58vI55zTP8s+s2xK3rHGocNawHmAyIzROe5X97k/gyqW gSELI5YdMcaAmXuJDU/MOmx6OS+eWHnYeqH/x06AOITElsO3Ghk1cvUrA0ZX iL0vOoW9Aw+ZPTZ00IEfI3YgONgD9yK+XMF0ie1Bvfg4czYW9KGBjIuzbNHv EH+Oc9WQXxGDjnxkX8iwsJlA3tVd81W3mm1tiFE4PeoiBhwwPr+Umxo08Qea EW3+IrGMjXvHqfyxVcsAOgd96j1B9e9XdJm1q46LRuwJZHvEfPsnZFbYNyBz I74mMHIezgO9MeCNsMMp+7ysf0Xzen23m5csw+EsUvQgB9UcV+5W5sVGx+R6 VfD1Rceugxa4Nwf+54nlUvx+o+Yz8IiVsKaua9Qcz4+4d5yhR9uw18Nuj1iI xHjjjC/ixTXHz8g7PuDxFZ+ZR9+QV82O9hNPDpizTZFFIasijhyx66AJT4v9 4JzIJ94dbUVm9VbNcejwV89HWWRECJ6nw+urLe/XrRsgtiPv99p4/tQ1N+gQ W46z55HtjBDuksS/0UHfE/lp0bxFNPcVzZOLvk857Kiwp2IuOlX5I4v+TTy2 J+IbJ2Yd9lnID7k/rO7fl3KmrugeyJm36kevmm05uVIvsk1iwhHrHDs94oXh 1855dn+Kxnn6fVXJ9iTEh8PWhdhyyOuR1aPTxf6YPfJXqrehuDSuHFdsU7ED hD62NMwPT8Q8QN6Dkf910THpoPVl0edDU8cNjY4fd1fdNpDEXEP2gqwDGPnM /cJ9krEneE7VsZWxn9pE8NEV3xvS6NhzwNhRoVNZGPwSfBI8APbU6JmxjXmg 6PF7Z9r6KeLVoes/tmK9DucKtNFzPYjY47yPqs8bgO7XcY4ePBvl5kfZv9SH 8/U8p+p5Plj1uRQtcei4IkskHh523th4n9DkWHXoz46qWAfGORZ3Vx1LFB3U aUWfSUwZ4h3OjTFMLD36Be+H/oXYeOiquL4S8Kaic0zF/eScOt4vtk/ISPBd h8fGtgS7EGxCtgq9NvpubLGJS4dtNrHvwOfsJ/TY4OBjd3WjY+HdU3fegsjH j414W9jSn805tCWfE4vvAzjYuuA/QYwwbJg5CxIYv4pRwqsVXTd6XOjcHNd3 giZ6efxP0FcSj+rdaPM5xIAt+RxRdJrv5a1vBee9wOccc2JtoTNtsfunHvI+ jHziVBCfkTMN8AMkzhX+dsSbAg8bAK7vB9yii8UGhnhTxMEgLhO6bHTh6IZa q235xHZ1xIjiLEHiUKFDwwfm7eCvmu3uMo5XhM096yy2ysDs11IRb5bv67mw swUXHxTovBPlPg98YgIRH2F9eNQmly8X/TwWxvNh3f4y6Bxccfwq+kDbF0X7 R9Z8biwxhLCh4d6MlHVfiyKPOCfojFl/0RsDI0tHZ00cofmhC/su8i+p+vw2 2nd95POOsOugHuIh/Jh3WZ4ttkuMVXz2scFYGO+dMyuJi4IcHtsr7LGwOyIm EDAyE2QnyFJa8pYEDjFVFkfbiEODbOXJlG2XfgkYnQTxd9AxEqfml6ADzpKA 0asSW+eTlHXv0MT+h1gw1JtLWz4DfWhgn/V7fHfEHfgz+kUiH/kV/SX/45A5 ICsBtxB1YY+EbvbvgIkZhByskrauljZ/lrI87Legj40T+K9HnX8FfXD/DXxs H7CnZB3nvFHi+DCusEEmtg96Ls5UBUZPit6Bsjwn8jKBg04MGB0TeqVcYam+ iRg++BWi7/sx3i86LHTVPEPoZAP//SiLrg29VTbqZVz8EO8OnTVl0X8RIwh/ Ley70EWXov3dol/os/he6Bd2IMMDB30WOiJ8D+AB4AfQaTHPYwMGTfgN6v0x xhs+kvmoC71V+T90gNFh5YMmMPpt5OLsTRYFffK/KvncWeIuEbMIG7jPU7aD A0Zmia0ccYuQScKT8r3xrbWqWn5Zi++PfGw2OQuYOELoYsBfprDUlhMYnhZ8 9F58j+i+lg0cYiHVol7O/sWOHz0d8ZGA0fky/xGPizmQvOUDB/0bMDGU0Ce3 Cph3xffG+0JvxnfLM8RWDps5dGuLA5/2YNdO+9HhLo6yzTh54/N9QXOlyAd3 lcBH9wtcCbkacXOQrVHvqpHfrNOL50PZNpFP3CRiIBFDab+KY1USU4m4l1yJ oXlj0bZ25bTP7CX+ETq7BUGffs2seT7lHnsvYgmxF9tf9MbUHbOomvgZss5g twdN9H7E1ECugdyAfTq2azvEXp54QNjBAdMv9vLov8BZP2SEyA0/iT0+MPJD ZD/Er0G+hFyQmDXIBjkjnbaxZ0T+Rj6yOOzsqAu5AefJU5Y9YDnxOMR+81xs Dos+J5rzZTivCl05ZwERl4C4x5ylyxm1nDWE7SE2i/SPs2s3jPyM1qY7iLtb cqwFeHf4duKgwpcwz5OHD/rAjOOobxRwh8in3Lslx6HeRL/vLznWAnX/iC1c g+9z7vGmgY/POj6t+J5jr4CPK/6t/AZmH7d6zT7w1HN9zWeREy+2bc3ntmLr xxkWyCaQLUC7Q9CHL6L98Dw8T8phu4g8A3zkGNghQoO9P7j0ucWWcOvoO3FG ifWJbRptw1++IehvEzgLA4ZHw65wu8JS3O3iO71TfR9Qsv4N2RH+DMgNjqvb Z2N6yuNx28BHLkc+craL9SwXJT6zfY7oHFmyLR5yNcYqNqgn1k0T/wjy2kc+ a8qOMd9y7RwwcVOBsT3mbDTsgbAFapcY/oI9uGg21X2/FfaZdY8z0k4x3vDD JZ4OsTQ4S6hr0IH2DlEXZ8GDj06N9RPfP9Ya6ukWdcEbo0fkDLhP6t7HEhu9 OdZ+wTLbZwNGXrGpcDZRKtd9Phx0bko77jrx7tmD7x4w8y06JfRM8BLohbiH XIL7uwc+MQbBQQ9Fe7tHmzkvDfjutMv2CHyuPQOeVvUZYJy99WndcgTi408s +lyuvQvWMxGnEXsYrvsETAw4YObVq7A/SUybttCm5riIojGw6PrAozw6q8dr ts+BPvEDe0f70b9g/4FNwqKA0cWgtyNmILpjzgDbL/B5Pn0CZi0HB71fS5xB 8s5X/ZPYQxas98GGBt0NdjeVKHsD9g+JaeX0HObVjD+z6jO3+hZM+4Bow3sF PydkOOeK9iFFt+nToI89DLYV/aMv3waM3QqyCOLFYGPD+oXdCevdTwGjs0C/ gK058ltiw4APH7R8zee+YwMyv2abH9rJOjWwBT/KVmPNIp91Kqt+PVbzMx+u Pg2r+oz3b8qmhz0JNgvYSTCHn4o/XKN/Yz+CPQn2IQtV7oOGpWdxcWWtGVrw uR/Ioo8v2A4AGwD0/8DYgTc2ODY8sgp8JvD9aLF9AEaWXm1wrHf2rMREICYU 5sNJg2PgEV+POPRDo64xaufCRp8xhl3DMZHPb75N9q3j8XNu9D1sJYZHfhfR PU7wjim3j3aT93TFZ5lQB/Hc6Bfxb/MNjjNHTDfKHR997Bl0gPeq2OaVMz+I wUL7sdf9DD+vknWKnKvJmamwsJxBx5m7U6OvJwV+8/mzBfvw4iN8SuCPKvjs OvC5nhb48MPMUfC9JwedobF/xwYCG4a1Gw0zX50R7UBGylnHnDd6Y8o2DCdH WWweoI+tAvfBww5hSvweHG0YFTi3By3ocB0d+Jz3ODbysYUYFe3/qcHjCh7m pOgXfYH2mMC/I8pTJ/o6aFIP9v74P2DzzxnKnDt2U8p2w2tELANsFtANtNgs AKMj+Fzv4umS16fuFdsucJYk52aeGXSQ1WMbgQ3kxgFjb/BG+JViW4KdAnYM 2F5uEDD2DMvXvfaAR+zE8UHzzKiDMx+wTcD+gL3b9KptCB6hX9g81KzDJyYT NgHIn9GPo0eHz0dHjN4YP0fWtQujPfgzArPGnS8aO9VcB/od9MToiLFlaK4r 5TM/oYOuuXOj6aN/3yPw4RU50wb5PGfcIL8Hhq9btu61tuWcUtZR9MLoZ7ED wAbgxfAnJh+dLfpgeEXOXOOsMmLpcy4aZ6WRh37jkYJ1HHsGHfA5Aw09K3J+ dK3AnCXXJ2iiI14LG9Sqnxd6atrDmj4rMX3iWtN+9BMtvO3U6Au24JxvRFuI Q0RcsPEpx/oCxj6fs8U45ww/OOhdGTSxu8f+fmrUNT5x38ClDPSIZXRtYSnt a4ImZzbRX3RE2HHwzpE/QG9a0DxL9G4o2C6Is8qAkaNynf4feEbgYE90fcH8 CfpN4gqzL+CcK36j6yRWCbHtkCui67wxcDjbDDrLZHxuHed+obf8seQz1aBL vBHqRTz0bdH0Oe8MHx7OCmQe5SwydJ97xfx/c8DoP8nn3Cryb4v3Tv4dgcP1 9oDf0/v8scF60faJ24zNLXXeFG2+LfBbztq7LcqCOzv6CO+MPg9+m5j16BTR r80p+Pwt4mwQ2w+Y+H53Rln4KM40mxM4dwWM/yl6UfSj6DrRJaJTRB/K+3w4 xjA2WXcGHXR2+K+iyxsRZfm+oDc3aK6f+N1jt/9ryeerUR6d3r3RZvSTD0Rf 0E/SL/YHH+hZ/dDgvtFfcNBnTkx8lhvne42LtjEXPYTNYNF0r4/xxpg5NfrC fhD9JWeDoeuEDjDzG7+h1/LOb4lnzrlhnFHHPIk+hnN8ms9qytnvAr0nOMB8 c4ytR+Pd8U08Ed8FeY8FzvzI57tD54lOFF0e+lP8Z9CZcn9elMUHZH7gkz8/ cFrqpm3oBJ+MdwFN/LrYTz1TCJv8nH2++D0h9IdPR71PB862MX6eCzpcXwiY ck8FDnWRj48GY4J3QJxV/Hyfj3FF2ecLS88yey7yOWcGnW4mZZ0selj23egk idXXvC6UrYtFD8t5ZeBwhiB79JcDHz3tK5H/SpzpjI4VXSswczs6THSonPk1 qslns6HjpF7oIJPYB5v8xPnIeTmDDB8uYilRFt3rYI2rQdiJEXsg8dkG4G1e 83l+9OedgtuP/g5dHvpa+BD6tSDy0cW9HTDnSwGzf18Y5cmHB0efCh9OHveI qche681oI7ENuUdcRNpDPrYHbwc+dC5OPFbRsfJun4l3h+7xvaCPzhLdJfpH 4jCif0X3+oO+u18b/Jt9HfpCdHycbfV+0KSuT6P99yi/Oz7a+r0aMoaiz2aq qGxj3bpT9I3QQR/aVPOZTOhkoPdB1Pud6u1a8u+Ngj7PjL5w1h1nqt0r+s8h Pyr5OySP817Wx5aswedLL6z5DCnO5OKMJupB74O+ED0iekZ0qOxRm/eMBbeX tYl9KPnY0mMjAT46xw5Njq3/VeB+G/joaTjDCD0R1yUBP1z1eZwtZ01xZV37 ourzqii/Bs+4uPS8Sa7M7cSVWlywj8+l6vdPBdvHzsXWruT39zO2kSWvn19V Ha8M3Rq4i6MN0PsxaKJnZ1xNjbZ8F+0B/+egvym+G+yPiAlX9XlO9OkP1fN7 yX1DDsDZrfAtbTgrr+Df6K/QY+HfzVlQ0JyYsZ7//Xi/S6J9tG2Nqs+CpTzx hSjbHP9f7+5CpdlVr6nMw81n9WZ9vg/xZ/DrBiY2MHG/OXMFH2qu/CYuHOfn /BX4/wQO+fiMk4/eAZ/ufyIfm2zsudln45eKrgv5D+XAQdaHzot8ZPXXJD7n mGA6xAan3ubzaOrO4+xi9FucU4IuDD9OzhHBl5OYecTOIyY6V84RIf4A10zg AIOPD93pTT4/Ev0Z+3XayZ6dNkAf/gcZPHJ/5PBlbBmU3mqwnAd9CXsofHaA 0ZUUAp89eLP8P7GOgHONkPMi40X2jqyTvqMrAIcNGzIGZBzIGZCDgoOcHDtF ZPfw88jsgZGjI09Dzou8Djk5MnTkA72DTjbk5OQjV+fMdnyW2O8TI46yyIdz 8ax4PshpwEFug8yWs8mQ5bbIqZFdc05NU/Sl+RyAxDYtyKWRPc9Hlib49KJ/ ExOUs72IEQq95YMmea0iv/ncp6BDfATuEU8Umxny8fdl/w8+9xlnjEXGLDFf oUl8xKFF2+FiH38Qe1rBB6Z9LjEwvtjv1xwvd8XEZ2K1jnzkuciOkRvfkjif mCT4LOLb+EnK8QyIa4C8FBkgMDJGfG7xvW3xxwV+ImU5NDSJo0veqpGP3RAw 5U6PfSi6fnxw0Wuiy0AfBIweGD/c1SIf3DUDHz97fCTRyzfWrLPHX3J64OPj +2C0H//OhprL3hbl1o6yd8VvfPfBXTf6yzgHhsanNZ+vjP0Qej10gfhGomvG fxMd3yMB48cJfwqf+kXKvpjA8Ktc20U+vDryU/he/OH4Dd8OjbZBEzkq+NDI 6pudpe+vb8l8e/so+0TisYUtAbJNaELv+ZLjGvOukbttEt/X4xq3/4S/Yk40 Z4vmQcKdr/x0xXjPVCzf2TSx/IO4YPAe+IcyxrDNZpzxm/3URzWfVYx9ErwK +MhjkGlSD2sivqObRVn8M/BlZY3givwbm+dt4IlqPvuw5SxqxuHNic/aZjx3 DPi6lK9bB3xm0XSgDS+H3SE2eJMSw/B1rRp8BuOXKcsi8Lto4d+BZ6Yc7x0c bISIsdwx6LfUTez8SayPSgXkAYnt9uAP2fcjC8BOD76RfGz54Kc4HxSeCh6K MyrgeYjJ2TXq+jLqJlYqtDtFm4fiq9jg8yPhW8nHzvC+iumwh8DGD/rwdLR9 56DJeWicVUYMUtYzfrOmVBp8TiRnRK7Y4PMi8aEmViex47GBIa97wAPUhv41 r7GckccZchek7C+9R8Csn3/G+ggt6IxLOZbubonPgNstyrLOct0tyu6NfF3p 5bLLdYt6ibvbI9pPDGHOY2ybsk8y/bov7vcMnL0T40xLOR7K3gFPTXzWGGcz 3htlJqZ8hhZnac2P9tCX22KN5Vwx1sHHKoZZezkXcu+gQ3s7x3t/PvEZkNQB DE3sQ26o+Swq1mLO2gJGFocNCedLUT9xOTizivOquL9/4HD2H+cGYqszWNdB ic9GOT5tuH/K55/0CXxwOfcCG48Doyww52CQT0zsQxLTgk5Lm+AZOMPqwMBH dsz3h16V68EBPxAw8Qe4HhT5tKF/4nNYuA4I+lwHBkzsU/BXiXZSF+dnHR9l wMGPEXzitJAoD232gsgEORfjoWg/Z3wMpd+J11DOpjkssT6a66EBg0uf8Xk5 NHCIpc2VMuh8OZ+F8zjQ53I9KmB815mb5kbbDol2to0yLee5HBH46I4Pj3of jbax1yNeMXVzxgS6Y+ijU2ZNHxrtBxf484CHJEt5BmzFmNuxFwOGN5mv6/DE MRaIQw4+8e0Zd71j7FEH/aG9xIMdljim8bFRFp0112EBd9RY3bK29BzWYyMf XoA4ZczDxETBdhwd61OJf7fAxEknlgpyFnCIPYDcjzzicD+TOK4ucQdYU5Ct I7tnXSC2ALEISNwfEPjk4x/EdUTA0KVeaOMTRD40iI9KLAJ8atBFcCYf+gje I7EI5sf11MABd2TAsxuN3zFjfQZ6DWgQI5R2svZRnjLEyh1DP5XapVxuVJTF Fvr0wB8R5dFNjEwbv23a/hJjouzsxHGAkJ9wf1zg3JEYZ/3AHRvwmYEDPDF+ A5MHDN/HMyTWA+syMlZkrZzLih8IdKifM0rJRzaLXBT5KfJKEmWRW+J/xLN6 MuidFTSx60dewVqG/AZdO3Ih5GfIv2amvJ4CI//aMnDoI9fzAkZ+AAwN1knW 0cmxbrNmI1OhPHTZt7H2kc+aiP/j2VEXay5lmYc5LxT9990hd6Gd+CJwZuht kc/+nr3/1iEPQfaBnAWZOLoEZCDsMcFhjX4r8pEjkXdx5LMnY7+Gbw37Y+Jo nBnrOzjUw5ghHz6H66UBQ29K1MX+lfzFse9Fjs9eGFugKxPbSbKnZW/LffKu iHxwyS9kfM4p9x6NfSV2mdBAdk07Wct2rbkM+ORdE/mUuyrKsoaxXrasn8AX xpoIPv1mDieeGmsTcwjxrJmLmG+nJZ6fW2KuMc+zXhBznLUDHyFw3o+5jjjj zJPIx4CZA7HpvyHxmfU59vyJz3jirGzojMz4/vTAwVdnRuJy5HGPc6Z4/xfG WCVvRuTDj5HPGOFsatp/dsaxw2YGDmdLAbN+sn+CB4UH3CrgFr70loCxiWCM tZw9wvm0n6bcnhuj/a0Df+WgfWPURblboyxnUPB+CynvsxjP0H5D1zcT61z4 dmbHd8T8wHzB/IHOBf0K3z3xVMBBTsu3Piu+94p4rERpYYPPQ5mTWB74e3Vp Ht/FnBifnMkwN8bA8/iWVHyGCnwW+fBjXO9uGSfsu2IMYLd8b4wT9q7wSKxN jDFg9rncvy9w+gYMvwK/QLx1eAb4HWjC85D3QIwl2nhXtBNd5v2Rv3e0hzYe HPjQIw7/aWH7Db2Hop3onjjLDTuiFxLDa8a6yrm5rK3sxx+Jscr10YCPDhhc 9MKcQ44e+fHEMHtz9uiPB8x6yxkDpwQO+zfW9xUCBpe96Lz4pngWPCP4N/Lm Rz77W84n5pvFb4v1l7WY9RYYn0KuT0X+CQFznzWWtbglfjkwayvXZ5Kla+4z gTs4nhXvgbH5bIxPrs9FG4ZH2+jfuBiTrE1XBs4V8c6fjzHAmH8pxv2LATM/ 8+x5B/BmY4T3MmM75TiNLwbOK4nz0UPdp3G7khasnsjsE987N8oBc2YfeqNX I588YPi3lrr5TrEBeC3eBe/ttXiP8G18dxNY61P+Djnvg7w3Ip/3+Hq8b/IX JP5ON1HZt6hL8MYRp/ydoP161DVS7T8F+XjZuk/KUifnCoNLLPOBFft27S46 P9U1rkVrzZL18u/yXpW/acgGsK/qWbIO4iP2gCr/nuDdBLcv+zzag4kRqOsp /4krwRUb2l7K36pkP5V9sWGpO3b5PoJ7FiM2qup9P3EMLmJcgIs/S2/hHF13 jGlipIP7Y/ClvHe++3zQ+yllPvyF+NbQU2BbhTyZuA34A+P3h60YfULO3yFk FeDdX/EZiZz12FT2ecn96pYBYLMA3/6vrl8rXZ527Fba9bNo3l72mZrc64Pt YsSRQLaB7Qkyitfjm+UdvU1spYpj5U9Vv7Yt2pYLP39iDsyDVxfN5cv+vQ6y uCbb7q6svJXKPsvkmrLPNfk+8bkm5HE2VCfldRT+a+wpBC+O/FllxxnhN7a7 xKbGtvb6qu3SiMm/a9CjDfg/4SdFXJwtGx1n+xf97iacP/jGaGfdMeefT9v+ nLjZ2H7vIJxfI38N1bt62fEd9ijZ/x/f/051nwVMO28t+7xeyuxVdAxr/K6I B/Fn1PW+6j+naLuxGWrvNgHfVLXdGOcIbN9oPcs/ghv1DL4QvDt2f8rfRSld dCzKf+M97ql6ly37d03XjO53Yf+OvLvomBhbokco+vdWgrMln0XQUfB3RZ9X fDo+QVX7VnJWAHnExzixaL+9gzNOlOP8gh5ln1PAc9yt0XTBm4V/etnrSg/l dxP8JWNK103KPldsh7qvQ0XvDuHfW7bP1gj1d2KjfcCIVYwfCX4oxJ/GTx0f q9OEf2rVPqa389zK9hHsqXJ9sU1TXSfpd1K0v9632F8J3l91vid4QozV1wRv rdSuwT7q+Krjk0RMfmJhf6XndpbqXVbw1aKzQYPjKl8geFvBPYrGu0v4dyr1 0TM9Xu9lm7Jj4nP+JHbL2Jw8XvEZ65zLfgLxOcqONf9exefTE4OW88RXKPqs cOpbpmiZ9HOi/azS/Y0+33ylouMacmZ3m6JjAY6u+9zv1kWfd80V+QlnjK9c tFylT8XnUnCO+HYNPlOcMy/QKRADAT3CGXWf0U0Z/MbxH8eOmrO5wEUXydnR qxftJ8JZxKsV7W/SVe3vUl5qD80VWTf+ePjl4c/3iO6vUvY3vapojtH10Lpj 6jNHMD8wXoilfELGMTM464eYG8R3J44GdpiDGhzTnNjlbRsdR/22tOcPaDNX cB4QPt+c3TM4fObwcyOm+ga6zhbO98ofLviAus9bgR4x1EdqHF7QaD8xzjnp UHQMHs5C2aTomJ2HNNhfkb4d2uA4lcTO5qwTrsT3OqzB8dqJmX5Eg33PGGeH Nzje9hbBe9EufAeJqw4uZ51w1srGRcdrJE4kuM1nnFTMd27X5DNMOhbtC35a k2PDYVfKnMQcyrzE+Sa8a84iuUV9v7nqOeZxPedlmowHTebwx4R/XdlxcPm2 3xHcquw5lTWKtY8zO/jmuc/ZJMydzJXMk/OF26bs33vounvZdRPbfsei47iz 5rAmcuYC5xcQj44zATjTgDMOiIN4b9WxMLrq95ENjlHIPc4m2LnoMw7+jHmc efWHmPeZ87+u+GwGYhqyPnBeAWsE8zrnDDC3E7eje9GxO95WG1crmxbxhonF 8S3zqn4fWPfaQTxa4tYSk5YY/MPrjr1PnHDmZnxd61Wfc4DfLPMC8wPx9B8t OSY78dhZ/+EZiKWOnygxsfAVZY2iPurijIM9il47iMt+bN3x1Vdu8lzfq+j7 ewXOUXo+l5T8HHdgnNdN9zjBc+sel8TPIMYu8SWwtSfmBfb2OxIjt+7fXRoc nxe8MzQ+Pi0v/c11StjyE7sBe358wvENJ0YusZNpF7GRibnbp+iYYZ+wXhdt +/+Z4HFF2+9z/gO8A7HEu6reW+qmyxrNeRfELuZ9896JS9mt5FiY7N3wkcZX mm9ietkxK4l3eUL4GeP3e2jRec/nPFcR1wf/NuJTEruSmJPEwuwXOMS53KLJ +XeWHctpQNH+w9DDp2py5BED89Qmx7jETr1f1Aed3+p+H8RZ/LjqKzEViWc5 qOgYmN+J/t5llyHOCPFMiAN2S8XxaJiP55Qdv4kyzHmcecZcSBwzeNQz645z RLwj4lz9QDwi1btGybGIhhRtAw+fcnTReRNFc+Oy10bsN4kjhC1ozwbrStFf /Vh2DCN+E0MIW0/sPLs3OPYQv69o9LqJzzJ+6sQpwFd9RqN9rVlrt9bzebDs 9fiaRvvxMs9iC4NPPvYwxO04rugYHMyXjFP8mHcX7Vl10z2+wXMl73tU3X7v +LWfVXZMAXgT/OvpE2v9R1Xfx+edK/jwgPAa2KvAb9zc6PUA/gQfeHzdsVvZ g9hTdbfvvLJ96ClDbAHqgfeBpzs1yq0qOqs1Oq5eP+FvVfb83r9sffcKyDwa /Y3xDQwoe727KGsfLM6Fx4aZb4P7nWLNRB/Nunlbo78NvpnV9DwPK9svYc8G 6/bQ6/EtcZ/vMtdo/xnuMcbHxzifVLbPE3Tzwmnd5HsDy/a1gB+aV7X/Bnb+ g5U/qGxfDuz/ueLrAR746DAPKduH4ZxIwOhU8YPAbwLfB3gsyuDf8VTVbcfv AH6XMvhN0KdDyy6DjvW8ouXGd6udi8tLx9wFMWZ/L/pcPngSdNBT4pvCnuXC ouWC6F4nx3d6oWj0KRvvXtFcpvE/47vo/Q17BfYg7D94djxD9kznM/+VTes+ lVsjnu8Ryntd7+CyouVG/euW/6za5GfHc7y27H0OdOHF4M3Qa5XUtlsFX1n0 +sk6y5yJzxr9mq7vcazoPNRonE9KjglOrK12cYX3WFBx/EHiDhL7mRjQ8AAn RrvYK59edz570jcavN/m3t4l3yOfmFOc10NMKng+eD90cayZnPXDuvlFzXZZ 3yu/CzoR4lbo921V893YuF0F31c23k3EiSj5Hnsh9kQ/wM9WHXOW+IyvlhxT byZ0yo4FAt7Oor9Vk/OxF8GHERuSl0uOVUe98JstsegW6zncLLhJ/T2n6liQ xIE8En+Xip/1NVWfV0Ys4TvKjrfBXndo1eeNcdbYG1XH9LxTvzvo2c/R9Xz1 fb2acZfLek2bW7S/SPtGn390rnDGq73PNzoG6FtVlwVev+yYosQS/UttuVt5 NcEnVBxn5ImiYzLcp+st7FWL9u/CtwsfL2DssvdrcHwKYlP0bXBcCWJKEEfi QeoS/I/gRwTn8vbfwo8LO2L2IvcGzYeLzse3i7WOuIjETmQv8nDkTyJWZ9H6 z9MbfO4UZ069qfxpRZ/pwZrE2sRe/66y98asl8MbHNONeG5zy97/g4ePEudl wdv3QHdf8u+n9cxGN3ickZ6K8XZ3xedXsRe/q+IzqNjrs/ZSD/vpvURnz5rL cKbS7bqerbLLVR3HmbjNvRq9P6ll7WNF3G32DsgVOK+K86R2qfn8PsbcWLWl UvJ5VCTw/9/Uncf/NlX/A7+fz/187r3v+f02ZU5mGTNHyBTSREUypDShlAY0 D9IskSQajWkeJU1SRJlCUb5CkwwpmTL/9vO+1ufh98d57HXWWXuffaZ99l7r tdYyV3xW7aO/2Nq9YlHi1B7RT8xB/+GjBolj65hYquK1ivV1Wyd+15ctSrxR cUfFrH3vIPFVf+cbGWdtIF6aHDBywVgH3NVJ/LirF8V34ZpFWUve1M26Yi4X k/WFuai1izWR2CQfqvasa7fqJM/TVnUPLq/7cHOTOWmcOqeP0xf/snvGWV+p Y63inwaDaf7+x0XJw3R3J/h+MTd+OE7pXf03PGY/+NSPjeMbwC+AfwDaHGPv To7h39sJzvLGduyBTvDrYmucN07pHd64k7xE5szmCzcvSpyv7XqJ6yXO133j rMHIPbs903sX5X5ZM1lnmT9bp1mvwYqKby7OOR3J1f3oR/6uz1Xi3zoKXkgO 9M/1or+w/8xeYqtZH/95EL2FeeJ5vcxB7b+qYtWZ351vfOvl3Md2E6fGmvgt jffmXs634yg5JY2t946ztiQH4wnr6V9PH0NX85/WtyPMfXrZf6gT/OgdixKD QYwGa/PPd+Jrwc/i0nH44jbs3EtcJ/P3F/aznn9oOsf/XXXvdp5F0QksM4z/ v/0Ptv5d20+7Txrm2LHj6A/uLvndR8lv4hn8Zpz4FGJTKH2PdAXiVfy36AfF 5elGfl9xmMW2bvR9jXdi2+5v9AndtL+ATbv1/6he9FmOkZW7Rw6f+4veb5C2 PjGOzousfyJ9hjmE+QP/CzkSxZF7qPEeXhQfty924uOwDdtTu97r+9nvtvY6 /je+FTFhYVmqlMsIBv6drV/v6EWvTSfpmV48FZ/Ch6p9uj5jzk/pA/vRwU03 +feYN/ZCf3yc5w7fS+etPTq5F9cxfH2X51H/6eTo9OQWne3kGL8S8fZmi36k m9yQ9n87TnxMsTH5lYj3xycFTwxNvlGfrn4tPu9sjuG/r/Xxvb2c79Emc8Y4 da4Ypx0xA5WdavOxJvO1cfb3GGXsltPnt41/V80FngeP2sm/4Td0kvXP/984 ORfx39dNflZrx883+uRxnrmx2bj9mxr/jGlyb321kxi5l7Q+n9rkt63x3brf uaz99cea33qf77AcO2JxKJcoeqpd61nj2m/bkp2srR4bJzfPksWbFP9l9f6z KYvdu3QnsXxXaO/OLb0c8y8ddpIfy/FlSkZOAzG0r7UmbbIf6GX/45Pk43Q9 y3eSiwD+9iWDxI+wv88g+3IViC2xfMlM95LDwL5YuSt04q+nXLFosXjE5IHp OsC/qZN928rFF8ebbmGpJvuNTuLi/t6cYZIcmfbNSVfpJBY2PZk5q/mquYy1 qX/EXu3+vHiUuLTP7STnC3uNvC9oejblGkWf7B5Msr90P/9g/1//0jU7+Z9q Ty4TcW7X6aSkN7u3l3i1+kGXtk7x7+klNq59cyK2I/+anflC1TX7h6/byX9c zKft2vaU6cxx1u9Eh2R+TQdn7n1fa3PZ0snRIcmFaX7t2/CN/KHeIe+SeKzs K+ws/tFriKfWSXy9Z7c+/LCTGHVip4l1vjjO+WyOwzfS19DbXFd6E/qTP9Y3 5lsTT9O8gK7K3ODLrZ1vjp9Yr1tf31BrXWteMfLopfxr/WfNxc3JxdMTq2+z olefZO29WfV1o+qPObJ5tRh3YtptUfQak+gd7LOJsaP594lhJi8XHZh1Pz3V D2rMe3on/7vF+rNO5i10G+YZ3h9zD/G+JtMpn1G0+cU2ncwx2APNITxT84pt 69nd0e7zKb3E7TAvoF8zNxBrZftO1uVf7iS/tLGUv68YxGxnd7W6O3XiP8Mn W1xmdjExP/BfPZ31HF2YNd389q6+oJf9v7d382+j5G9R0mfRZYnrwK+HTY/P Cd8Tdj9xnbW/6yQ6BvMzczM8OXbxxULWt+c1+hNtGw/SN3lju53M2x2X95bM Jt3YrtitxG9+QdsumJc15vOLvrS+Sd8je6a1onXiLt3k/HZsN8+uk/eV3koM ff675zT+z8bR8Vj7WQOi6VDoUvj1XNVktupmzmIcYJdlk8Xzb/Nfu6LRm3Yz /2XnZMOFo96sm7mjeSP9ihg31ohXdnPMXHLtSdbt8pawibKNwqh/spu8a3Ku aZut5p6p/Nf0338QlnzfOhcM+P5Vd51J9Aj2yb6s5M8v2j24oJ8cX7A9O7Tn sP0g+c8cP7Dkf9ZPPrTPlcxBjT5tXtb9r+xk7c9HWz5amKD9Wx9+UTo6pTxm aG3Le6otvFcVX6wVOcu+7dnVMTpYeh/6H7j3k0tG7NLdWxuHN/qNbdu50TsN kqtMvJWDqx08OSMPKZnXdZLvzNxpLq6/2Lto8xC5FeVYZG8S/38uLu9rql1t XjgOn/yPi69fh3VzDP/Zg/RLW+sZK6ufl3fzHltXrc822so3k2nf5nMHoc8c JQ8k+9d65rqNvn5e9MF0xeb+ZzT+4aU7Pou+ope8Rl9o2xGdzLHfUm2re3dr /8ySEbNKLCw+8SsMw6NXfhWdg3/QMPYJuZjFFlXKj/SPcUr5ktD/ZYvpJTfR OZ3kPvLflwsJTxzQr1Rd7X21yf6gk2N8cMSMkmv6oWHySNsXo/WoOte7O+Ev aO/5Tu2efb2T//qkG/4qM1nnr7go7+09re7abbtonLzX8l/TM8il9oFO+QiM Yn+X4+PbvcxR7B/TiQw9xsXj7KOf1A194/zka5MPnB7jwtqHTaJ7ObrRxzb+ Pt3UV5fsh0v+0EHk0fIp8E28td2Dy8aR095avbzPl89LDrSPd4K7l3/to3Ut l9e1Xdzkj+1Ehv7k1+Pso5fvhv51k/lXu9472/YkWP/Wh736sVWqr124o327 qa/u6wfhOxcdB1l6j9tb/dvadlzbH46zL2/Ccq28ehxaLgQ5EeSEumac/cen sp3QSYx3Nh62HnNgeaZOKHk5gk/qxAfzz62PH+vlP3aJubD3airlSUXf0cn+ W1u9fXqRu7bO86lqc1Xzyf4TebWV9AbWnF+ob8Qam52bXoKdhP3FXGU1tuZ+ jv2hlSf0UudT3awJ6WSsH/TRf5a9wtza/PkRfe5mjXJ8N2tX61Prry81mUea 7K79rNOs0bxfp9U7dnAv74T3wbvunTeHvc41te2Mth3Sy3sw9w6cXs+andhx sWHP6iQ/M951RZ84L2Mq+5ZxlW35rJJ5tLV3cjdrILLyO5N/Un3bvusbe8n9 rA57L3u0+Q975lfqG/9sL/Nd/9pn9DPPNsf2vX6tvtlfdDNPdW2f6eX9WQnW vpf3xvvCJiQvixgecmnIqWFdhvetov9BF95L/44qefyd+1k7WTd9p+S1N+4m R70xh93pO8W/dZzcOTMzmQ+au4qtfMAofst8ls0VzBnMGc2tzbHFJ913FJ9b c5+LW9t/rrWLtdFFnayPlh1mvgZTsM4gOAP77Gb+wcuWHdK/xH/E+Gic/GL9 m9iZ/IPEPZXvW+zTjflyte0Xnl8nNlr2WesW+WnkpvlpHcO/sBNZx/VJnHEx xvXxV9XPXw8jr94Z3cT2Mq+zHrqw6m7ezrnZIHWUX+qnrTO7iaVl7gdvZX5p bklHbn1Mb2PM+02Ne/Bc5qbfr+/6kvqWxX7mR22uteEkeit+b+LeKc0BfAfy zLPFn1HfhbjIcHPmf+Z+lxffO0znTvcuvulG3RzDNxf0nlqr0eeQoef5ZTdr GM/7s930/+zSTV1V12IfLW7ooiZzdSf6E/EE0Hw/ldcUvfFM3jHxatalg2r0 LtM555V13mtLHv+Ubvj6jucYG4Fn/sl+nrGcJPJsiTNjDHqsE1zTncP44ZvP w9Kh4dvPrHHEPcP7U8mI4ScHoTh+0/3w1TNfMW8xhzFHkxPCvM7xG6quPAz/ V+OJ8sai5UK8vsaNVxdfG+ZZ4hOZd7EFsQ3JFes9v6mOr9hNLOCbS/amev/x yZvnm++b92vjr9XPVSeJdfTnkjeHgiUyj7ql5NWVD/WvJe/a0OZ7cp2SX22S 8h9Fr9JNzAKxYMQfpQ+3BjFnI+M8Yp3dWny6cjJ8oJW3Ff8rNe9z3DvvH3ZS bWIQ+Pepox3+zmIS3F7fhVwo8rDwrb+96uK7d+6TuMgrd+NvT45O2nrCWkOc E30Xw4A+3rrE2uHrtUahn6f/pg8n63rR1qTKu4v+b7U7pw//b9Hqa1cfty55 7enPv+pc/yp5vimX1XvoG6Q31+biGAXjvM+T0ldY99Kh31+09a+4MOLDiIVA tyzmgDXXnJzj9xafH8aaveSjopuiX6Znnjv+YNVVPlT012ptR3bVbtp0XnMF ObfgCcXFQouRdc1Uvjt+1ubdj3Yi+0jR5tXKR4pP9vGSt0af182367pdv5x5 D5e89uWb0n9xMsmqS95Y4r8l39vj1Y7/C9npkp9f9Foz8R/lcyoGnTilYrrx CXOcnHicN/RyTGyo28aR2XompX0x4P7cSyxU8VXEprt9nPh0ePb5GooxNVPt r1bH8I2Hxkrjm3rkn9/a/0atfb0LN/UiYyx1/8W/8Lz1vV/9N64YX6wvxPR3 7Ci6kXFkfjGb0r64e+LT84/lGyvO3p3jxNrDsy/mnnN2qm98ZAfFf3udyzim HvlLWvtPnslcAs7HumVc84rru4mpYJyRM02skU1r7mHdYv5jLoRWzzpsye4T 8cnIi4cmVgm+fyUf52W6mR9an1k/qLeFuKrDHBcLw7fvW1NvqaprTaOutY/y SdWOOSfacb65y9b9sZ5Yrpt1x7rd0OaWyuX/P3rZkjH/xFfPOGTcNk+5rsbw C+q8S1cf8FYsvnFKn/lA3VLj/s3FW7muxfixco1pt9Q4bCwynqHFWVGu0n1i vFqlxuq/1vvj+/UOocU7Ua5afN/3qvWOrd7K1bqZX6HX6GbupFy9+BsUDUNr nrRG8eFq1yv5x7vBaXvWsLnr1n3DW6v446K9QzO94KVvree/dr0DynWKv2TR S9S9f2o9rwOK1r4YQ+tX35ar8y5b/V2v+KPqm/d22/m53sZeXK5fNP0ljA4d 5hu6mTMZq7WzQd0jOAx4DLYd80S+CnRd7Ef4e8zLfBC+nx7L903H5X9hPsVu Yh7l/7NpPWsYIlgjumFzHzYU8yL2RfZNdjC2M/Szp2PbYXtiV4Tbht9mR2Lf Qe83nXvz9LpXxnV6uo+U/VHdvRv9zEXBQ8M8Wp9t04097A2j4Izhhv236W38 x9lg2GKsKc0lYUPNRemD4RdhF78yDh4R9hC+CQ6Kntuax9rHGmIx1q0bnfDv utFRmpN+aRy8GtyQOai5qHUJ/TdsGf03PSW8F/23uRgdrvkY/TE8HB3yqeP4 ftBbsw/QKS+OzTaOrwj/kNeO4wcC1wk3cWA3+hT4UL4iMLPw4y/rBs8tPyf/ Crp/ug3YDjoNGOeXdINzhgehB6EDoYOB+aBPgPWga6BnoC/crxud4ZHdvMfe 4fXrHfOuyl0Pz70Yy90LRhwWCZ6UXwocrm9oXN8UHNDLu8ECwcbByFmnwhHA J8ACwOHB47Grs0+zU7Orw4nA6cJsssGzxcP0wT/CQ9JbwHjAe8BsWI++rpv1 Jl3jod3oBulKD+9GX6oNGFb2AVgHmAd4B7ly4AL1ha2dzZ3uAabpbd3YZNh4 j+gWpqqTe+T+wG7BSJ20KLb2t3ezRoCReWc3diq2RjZH+ht2Y/Jsx/QubJB0 L/Ai7+hmHUPXDitD3w5H865ubEqv7wZTwj55WSuPrneeDZwehA6E/QdWgw2I XesD3WBI6PuP6QaTwe4hx4k5IdzER7qxdbBvyEdi7sauAlswhyuAY/jrotjU 2dbpaeAd8GEb2JCP68beQmfDzkRvw07GXnZq6SfYaegoXAcb6mI76zj9Z79n +2ebZ5dnn0fDCbDDs92zzbNdsyWzI7NxowV/cf8+W/fwt6XzYWOGQaD3ofNh q2azZs++tPRBcApXlL6FndkzPKWeoznI57qZh8CvwLHAxbBlsWOxYbGDsoey mbL/sQOyF7JfsV2xW20NW9XO8axO7DPW89bybBrsHOwa1uhndWOToW9gY6Nz YMOxnreWp2f6cTc6R+v1s7uxydAX/qSb/z/biHW7NfviWDbd2CDoNsRSZ0Og //9uN2tBeg6x0enN6cvlwLP+Y+tgt2CzoE/6QTe6Y3pdMd3oD+iEz+1mDsUm QC9AJ2AOe14381j6s/O70avSxf6om/mOuYd5iRhZdE7yv9JbGnv40vhX0AnJ 4UpnRKf4827WanRedF/W0OxHdATGZrqiX3WjL6ITuqgbvZDnCQfgP0bHckk3 OhN6bPov/wE6lV93o5fxP7msvi//20u7+bfQh8k1S6fpXYM58P9kr2e7Z7OH jYTn9M81l2ZP8r+1lmGv8t9znNzcf/vakp9t48Dvu7GJsI38oWg8xw6dZN3K buEfeMpMjvHxsX5k67qr6pFX94F++376iVvHRmdObL4nF88OTWantt3Q2lnY yqlW/onPgHVM+76W6sXHCfZ2tV78zeBt+734OfIVEntbLG64xLUbvzMJbvA2 72A36+J3DhLL27HN2vuzadsWTXL81pK5oRv/6EfnxecYDQf7/kHia/cm+f7g zOAy/tatOWWr+5du5qPmnE8pvuvl6yZ/GH8KMQydix/Q7nUM/6m9tA1Lecgk Pmb69btxsHH+FSu0usuP0ha7/d/qvPRkt1X/xZAWS1q++3u6oeGx+dTzGeMv xrfePn3ylsOsGfiXwbqT4Xf/wUFihQ8m8Z3nU8SfSExVsVXh02A/9Vuf/9dN G9YRZNXha8/nHk0vvXkv7cGaPrnuFUydc95R5xXLVpxbODTXe283emC48nvq WrZv7dzd6AdngpeBqTI2izsp/iQMGN35g9UfseLJw67zTXyo3h8Y/ruqn8+C vaqxQr3/VV05LPDh29cdxreW7Yx9/i/1rPkYPVzvJ332vF7mHubU5v18M/HQ +L5R+Bu4ia+Pg2HyT5jtZd5vbv/j1rf5vdjeh734QPJ/FItoMknsKXplOBhj //EzkSPjnwPDBKPhfwKrBENh7aD9x+q9hvP2bvt2+en5fvlXy7kr3+7z++H7 3vnk+d58a0tNci52Xt+LWAPa+01dg/7v1k+f/7kw46u4gsZY36t2+CYbA8Qc dPwbM/HtZefyfHznnhH/1FV78YviC8onlD8v2SV68QVW2uc/6DkYL/5VvlP8 vOaw8LDrc750/PX42xozYJqNG9qYVB/4+C7biw8Wv1512y1ZjP19UvG3adf4 yXH8W/kvLlF94CfGX+z+8lfjj7ZFxQGFJ+fHBvP7lLqu49qxlwyjlzq6l5Ju CvbZWGYc48fFn4uP2mbtvMeP4xesbyvUdY37eTbuuetYq67ltF74npdcyp4v e4p3eb16n617rH/YwdacxFdk416woTCifE34w8p3aQ21UR3H50fCb2VBjWeb 9DJGfbN9O8/mR93L971ZL2MOzCjsKH9Y2HPjgjHBOLFFL2MF3xd+PfxdYXX5 ofBbFGudHyrst3ECbtVYYUyCnTUufQuGkT9gL+PfMpOMh/w42Vl2mpdxAmbU WKG9rarNE3sZC4wDbJpywV/K9jSJz8lOvbSj5NfCZrNj0cZ1fp7GdngpuCl+ jEe3vrx/GJ0TH8Dn1ffFh5Av4ZzvKt9CPD5nfOK873A28DZ4fKv4WLH58/3g AwK3zu+F/wv8+9P78WH2nrDhwwDwm2GDfUkvNlC+H3xAYM/F5+ezCyfvWvfu 5Xrh0uDT+IjyjdJ362X+T/RrdGvva9fy3mHyaH5gmOuU+9G6iu+Q52bc5Ttk 7OVDwpeE743/OV8dvjT+QS+tNo21fIqMt9p+zzDnU4f/jnceRvjIelf1fZvq P38bfje+R/p8a0XrRLr8Q4v2fh1S7xh9Pv2+9aO5kHWUNRT8BByFtYV/+Bt7 +Y+b47+rl3m+f9cbevl/aeOwasc8ir7D+uCt1ab5lXf/4Hr/rVfe1MtaBm1t Q5/x9l4wwIv70Mv3SBeBR8dBv6HNt5cMTK5zmbPp1zuqb7Dfby55vHdVf/De UufVpnasBelO3lY07O6767xwQ3BH3pdlB8k1tdjnqvHe34utm07lfUWr957q A+zn0TWOLcZS9GI3hpmDnfN9s5Oz6dN586PiN3Vs3Wft0OXA5MHmGWOsdT7c Cw+G9IPVpvkg3y3+V/r2vhqjjE/GMVgtOCd4J9+NtchxvVyf79h3DU9knXF8 L7LiLz51khiM7Gzsc5u07UmD5KO1vun0Yp82llpjfbSX62N7ZoOmJ7b+OLHG E1gBmAE2AWNwp+quPkj71nef7gUbxM7GLnxKjVf0QOzobJPsS3BC7FCjknEP zZXYzs2X2Ev5L/nnbNlPHIfFcR86sZ8a163PNphE1prp870c5+clhoX/nfOx 3RsPNumHf1fFuCDnv8pfFfbId8PP+su9zFsWY8F6+e8YkxzjH7byILgj92H3 fmIdGOfhhuCB2LqXr/b1Qd/5U8FvqgfbZGx78iB13Gdt8NGC0Zv0E/vDPEHJ PwqW87p+cPn0B/xh+fn4D2/aTwwO8wElDJB39gP9+KwaY5X8f/z/392P37Ix md7o3F5wl1f042dijX50P+cwxtLx/KAX7KqYEHwq6Hiu6sfHg27p/f3cR2P7 Mwaxc3sWu7fx78LGv34quoef9oL/N14ai42ZdFo/6UW3YS4gHoE5zjOGiYkv Hr6Y9+jvtXdja/9kGNa2vQo2wHcyFZ3Tj3rRnZDdahJ5+jD+Hv7b6pE/t/FP 6uU9hCdboxffe/Md8zX+5+YsbNwX9YKjWLkXX3rzo21bvV82+iFz8mFk9GH9 mfD1GW+7SeruNkwOlSUa/dd2r37d6NFM9CgX9+IzwIcH/7SplM+cRGabYc73 ura9sh8+2b+IQdHkLmnbju53L+tQcSmsS+V1lQ/2N8UnR57/Cz55uWLZ3C/r xUbJVqef7O/bzqbO6VPhPWuS/u86zPk+Okm9nSepu8sw+9qElb2invsuk9Dw sXsNk3dnpZnEU92t8bYTv2UYuQ9PksdAjFWx8tDyHKzQ5PcchpbvQPnsSfjP aeXVbX/FRr+I3rlobV9ZdV80DP+fre4Lh6nzxkl4u08i79ldWM9UO1fXufC2 mYSv78+fpP8vhm9s9McmsVk6Bgvxt8b/g+/FfZ9Nee5USny+aUe257jHJD5T tut6yWcEP3xN9fO2fvgrz+Q8+DDDeOrim+OLB2GtQI/7p178OA6cJO6v95+t ko2TXXLXXjBPc7qf/+sFFyV2C5lnli2V3ZSdlO3yRf4XM7Ef2GfHlGtsr0nW sNsMSm4mbbxwknPJRUaOjBg22mSHVe45Sfu39NO+tvlg8MUwvt3aS06z+2cS 50DcA7Ee/tnLMXy5uG8repdRziX3Gd6LJ+HzKbm5F/3xB/vp85dbvZsb/dlx 7hXcvzr8SuRT0/5BC6KLuKOXXGkvnSS2jf+pGI//q3tFr/zvXmwRdNV39WID ubOXuubt/KT5TfPtp9f8by9+FgfNJp5WdzrxtV7SZP+0MLgP/1BYjjcN09Zp sOe9+E7QB9Op820wT9+tF98JelM61L/34m+yZy9xDcy7neuBRr9iNv4ED/Yy bovb49r6i3J8n0lkLvcPGmfM33eS+EPW7HLNyUcuF/mg6oj/g/dI2742m+u4 v84lfpH6gpT1BvFVMP8RD/Oheh88x39Um/KcP1zt9Adp07OQp1oO63/MJv4Q Wgyi4SD+DOYteHJdk/ldo380zn8N/udlk+QGnc/Xte1vPJXy5Y1/zrzMsx7r ZV4kXpc68EJwQWh1zbOm+plD9qvuJlPxh3i8l/8mnQcfA+se8bd9h89o7S0/ CGbd3My/zLcpRuhyg+DjzeWsqxb2M7d6cWt3UaM3nAqtr/r5ol7iBVgzPXWQ 69LfTj/yZNDdfuK64XWKpv956jA6jGHjDcyrmvyyrVxOLIjZrLOtw+d0Nmjr 8b2nIr/ZVHQY5ijmJ/z1+e/Dxy1j/d6P/8sbWltP6ie2yU39+Iz5BrXh3Ju3 dg5pMkv24ze0ZNVFq29fLJR5bAP9xLtQb1R19Vn7/IBm2n1YoR+fI+XyRZ8w jJzrOnGYY7vPplyx6FX6iRnBT2fBIPLa9N49Wu+hfi1dfTui7a/Uj9/HSlUX rb59MVi2n0ksYj4FYhOIUQAb+KHGX7WfOFLy9x3knZwkj599cQPw0HwS1ygZ tHqvaPQj5i3tWtbqJ7bSx1qf1+wnPsA6o+SmlcuEjDzrjvGhXKPahOnesB9c 92rVJh9tvtr20dpeu9o/2TvTj0+9PPCvbvLLzYS3bvHXL77YTa+ZJE+u9p3H PnqDop82SZufads6cJaD9FeM0I8MwhOTQb5cdfi2iwvlHNp3jfK1iANw8CS5 7vjKiaG0XT/6UXpLMWvgAay56Zusu9XbuOpu0Y8M3abSvhg3X2992KqfuDRb 94P3hfV9Syvf3LZ3TkcnZy1hHUGnRWdBX7Fh69sGo9SnP7NusWZxb9ar/tPb ma+bq1vr08FZ77sO13PtOLn77Is545rEhaLz3L5kXC8fwe3r2jeWH7AfbDAd KXlYi81GydUkPp2+bV3XQv5pbdux7X9lkFLcBuvdHfrR332sn2t2vbfNpv/8 EsS50x5bNj3Zc/pZt9F1WQtZB9Gx0bXRp7EBsAUs1i31gxGHD6dD3aMfPSq9 4wv60YW+TNm2/5uK7pYOV/w1+myx5Ojo91PP85vJGEVXK76etbzzWjuz54o1 IC4FvDvcu7hvf2/X+6627dOPHwDfgcVxEGfCW2omMq83v2392bef8znXYDb7 y87EHspPWxyjx2bS50fL3vqifmyv6pG/1fyhnzY3LVnXuWGjv9/e20Mb/Q5Y zX7oi/wPWx8Os8ZpfXhFP/TTZlLvwKoLo3FQ/4kYANYG1gWv9q217YrWzrGt fG3b3t/af1O9w7+u9t/GX6lkX10yl8+G/tpM1gp85q0XvF871zumH+pNz6Tu wXWuc9u1/EB8orqO19V1bdR4h/jWm8zT6viVjT68lW9o2+8affFs+vf9uiff qzre4V3qnXlt9VU/1Xtj246ezjW9qd5VfXhD8eky9+4nbh2Zt9a131m2IjGR ftX2395PbIc3TULrs3m6WBLb13HHxIEQ58Dc3Zz9fBh4fkHabsffVefFf/Mk /eHz7Lj4Dz9p/B+37Z39+FUqzyls1VE1FpF5yyTXeNVs2hRTi97UGtv6Gqbj ff3E4aJbtZ7fs3Si1u0Hlm7V+t/aX84tubd+Vu3pq3hdeEc2utNkXlexWV4y L/PND/Uz53Sc3BHTmRcf08987GfD5PoSFxItRuSRTeaiYWLe3TST3Fxva/Rw Ud6Fj9a9xXPsPdN5hp+o+3bBMPm35mL8KcW4gA0/vp+8rkr7500lx5d2xOpT V3zAj7Z2Lhwmf4xYYDDl5NedDXZJDDXrCe2cUG3S47sOMSjgjD7dTywi1yLf zFz8PqV4SvQWJ/Wj1/3PIPnx5nLsKeUYpG+mdxaPi4w8fLeME5tMv8RrOrkf vnr6LH7ZVTPBdqlLXy1211n1rvJxeW8/MW/YouTGgktkA2QLFMtLTC80m+CW o+yjlV8sGXx5FD7X9r/sOfeT4/hLtY+mj/xWPzGk+EI4duJsjqN3no7++5v9 xJ/62SDtwcc6j/Od265361Hy5ZzeD+162En5f5zdT+wQvDOLL47XV/qJ/0WP /tV+4nPB7n2jn1hQYtaJwwWD9pNB2obFfc8kORLEqnLPtPvdceLdifkFiycG qlhjsFRyIpAX55POj82S3u9855xERyTPtHzT8i18rx/6A9Op53xLT8JzTB4i 5feLFvtLjCpzwPdOEivU2uTUfnKbeYbfqXb0mW3z3H7+9WK+iY1lfg03J/aW deQlw/i0ePbicn2nrlc8UudYlt5slFhVO7Zv5Ap6p2H26cpcm+v6aT8xrcSz IoO2Fvi5+zoJLk68Z/LWp86rz3ePsxZzLfRL6w7iQ/vJmZTqotW3bw7MR43P mph5MHfO4ThMHh9dfo7iwP+ynzwT4sFfWPQv3O9JZH9VMmIOwvQ5hs/2dVE/ eLEbh8k1Kx7K2/qJZwTjxsZycT9YsEv7yYd+y1RyoqPnz6Zd5+UDjkfuOyX/ m6Kt8+hJrfUu6yfOlLhSNwxDd2tf7Ck51eHIruwHr0fPal1qTQoXdk0/eD11 5WJXRwwXfZcX1xqdjtU6ne2DXWQON4pmH/l9P/Ff7qxrR4/a9rd+9Iz0h+Kk iJciPyy7E9+/L5SuhU6ZvuWP/cRVIXvTMPSwbTf0k5P99qnYWNlX2FbwHHuo 5OWsdQ752B0TW4WNhd8jOwnZ/yt5umT6BboFNhdtspXQa9F5iYdB/6n/YnXA rtIT0RHxR/xLP1ghx12nWB3KvxfNrsKPjh3jr8PE6dh+kjgd4nXQa9IJWZf2 SoYu1TH6M7oheqF/9lNXvQvqPTyVr0o//aR/g8tbZhDfnVuHyXMp1tLfh4nB 8YJJaDpB8TjY2xxfjPHuhEdHeHc/cZocf9i19uOvgfeffv1/h9lH39NPnk3/ XHkt0fxN/tXPebWNR44Pwr1Fk79tGDzTe4qWR3MO26SEJyd7X9Ul+7+SlxdT fkz+JkvTz/Tzz11ykHNo//F+crf5l7mWh0qG7MNFP1S0a1yce62f3KRK9cVh Y/cYDIIBlPNtehA/I8fnVaw2PMfMN9DzS0YMEnoBegD6ttlBdG5iBS0aJGYs DMvCQWJ/yCenHb5K4ovQBdAD7DNKHf6tm8ykrhwgnr/3QLyWNSsGkTbx7ig+ exr9FN0Uux/9F93XKoPotsyj2A/ZwNi//jNMDtq5mBFKOWHd+6UGuf9kFseV mOSc3erbZBC+emsUX0wk784Sg7wz9Fvsf3Rc7Id0T4v1Tt7fQWJKsPuxS729 bH1sXexccLsrDYJxNgdcpfrP3ki3Ra8F48kWyA4I38rf+JSaf/HxM2eDt+XD 7J8Az8t/2zoMXpCM+ZqYEOLy0AfDWq44CAbZNa1R/sbw5msPgk/0n1m3Yi/A MrA7sjnirTdIzIcNW7nBIN8veqOKq4C3YdHu55p13/Rl4+ozrPpag+AijQPq iL2g7fWr/U1L3nXc157RvcPEg9i2bdsNgoHlW8rX1NzJHGqzotXbpM61ZcnA VSq3KBm5mLcaBPvKzsnG9tvqvz65LrjLTasP5qHmpXJcb1VzVPNPmM0tq/1T 6l7BgMz5vprr6TOdPn2+a9u+7q3NNW1fOv9t67pcL5nTKg7GDkWLUSFWBfwk +4A6fJLwdi6+vm1d1wWHuWPx3V+0/DzssDvUfXbPPVdzDM9sp3oWcJ4713Pk MyvnhLn9LoPQ/GetAZ6lzzOJZbHbIPgi2C3064svBgf7tdwU8mSLhbLnILS5 +ly72iP77GpHnIPdi96t+HwxHxwmb82L2v4Dw9TVn2+zXZGZyZzbN2iOLXbo 8+p7tI9+RsmKp8E3k+wLSkbf9qh+6uOeRbNrkoePUj6naDFk1HXOPUremuWH M9mX55xekM6RPnDrcfou/87LBolFJf4nrLY4V+JePDxMzAv78EBi2ottzg4h /hVZMmixL9iAxYKDRVeKDdebin4dVmOfum/agWV9tNGPDJ+IQ6d8VcXa2qfa 1C/9E2NAvb2qLv7+1ecDmtyBg+Qo2bxoOu3967rEJcB7ecm8omiy4pZaI+/V 6KcsSB0xujzT+4d5t/Rz37qWTzT6IN/LVNbXh46yrz3typXyYD//V//eV7um QcXVX5g8luKV0a0cPIhO5rWD0PxQ5vbFAsE7pPivGaQt7dAlvW4QfxaxOsTs kFtWrFMxT8UFdfzQkuHnoh3n9H8l57+sPe2KE8u/7rV1rt4o9el26HEOG8Qv 5g2+oUH8Ygaj8Ol86F/w6Xn4zoiXivemQc6lP9+ofbnI1Xt9tXlEK986iC+M eB748uL+eyby6mr78DrvfTORl0/ZnBT+2TxWjE+xPunlxAcVJ5S+kY+Hffo8 sUqPqHO9fRBdGV0cvRda3FBYbJhs6wi6Q3pFcUbpbsUNp78djdLOH2tN8Y6S h+FGW39ozznETuNz+IbqPz3hkdU3bb97kPhnruP9dS0w1/bNu/mluDZ6Svi7 owex1cDLfGAQHKRvWv4MNgi6yffUfcD78CB+Uc7jfPSf8M5w1NbBSrhq619r 3mOK/tog10t37bnqv1gv4ivT6dPnf2KQOLZsB3TJaPpk9ouPt+2Vk/DIfanq fdT3MElOm08OEpf+uKLF5Th1kHwkJ7bzrjaTY2L7OH5cyZ/cys+WjDjKzsdW wi7ysTov+eOrzU+18oRB/GRPGiTHyafKt/ZTxT+h+OyeF7Z7/ZlBbJGvHuZ8 J5aPLppvr1gi2r9zYWRPKflLZ9OWdsh+puS17dzsq2RdJ5unGPNizfNxO30Q Wsx5PnFfaPQSsyk/X/RKrT+fGyReH55j/Oae49kMEnPvS4PEEBQ/8P1w54PE BmQXOEdbYn/Mpp0758UPUJ3b/V+GodVVfrH43iPvE1vV56o/6uqz9u8g0+qc OUjupCcPQ4vX95Zh5FwX3lklc3bRa8w+YbfQt7l7oU22o4/UOyMmouvSX/XU 598nRrW67B38/s6uNl81zPP1rL3L3mlx/+l55IOhI/pWK785SMzqq2dC7zmd PAbsRmxGYlp/q2TYgfC/0NpcdRT+F2YTP/l7g8RQFu/vO4PE6nf82yVz3Uz4 a1f53aK1941q83vF14ZYgd8fJIb/Yr+dQWIAwh7+cBB8s+PiOIvhLCczGTZu 5Y+K5vdOp0af9ueZ1CFPx4a/WJ82k//Uo9Opd/4gNmi4yB8PYgs6v9rUF/V+ WnXpCOkK6QZh9+XpkxdP/mL5eOTicfznJcPvyDGxLi8sGTylffl76InYEdkQ YSQvHkT/jfcrz3GS3MgXVPvsjb8svpyocojTocGKXjSIHv3culfu69NKhg5Q vAD9o+eU60XOF9chTv6lg+jkVm/PerVRrg1NRg6XF7TtskbvLZbLIPRXG/27 Vl7Rtv3G4TlmzuCcl1TfzDkuL/lLi69f602l7jMa/+ZB3lU6SX13DWJ2r99k rhxElk1V3HB21WtaeW21ucdU9vXxuGFk2Gq1rX/Pnco4aSw2jskTgjbGntXu yV8GiWn8yWHi4G9Udmw0u7b7TuaKut6rB8n55nqvqT5o7/pqnz32T4PYZPkG 3TiILZE99IZB7LzsEmI9s2uwA8ibyBbgPtwySA4n9+Pmoj2HP9az0Je/Vp8/ Owzf85QnSztsFnJgaZ995OnDyLuOf7fyLueYSfmvotno2NXm5ghocwb1/lbn kjfl1kY/1K53uWHon48zP7i90fNb3+5s5R3uxUye21X1bvgns036L8ujI5+O 9pS3VTva+2fRnt2VVZftUV3zlNurfXkl9N/1HDXOddiXD2KZ2ewvNZW1IxuG 9SN7Bdr68p5B8iEZ/7Wn30eO82x/V+fFv33uWobJDQCH/MWq6x8En4wvFpAx +MRBxmHHnUOMWP4t9zZ6u9af/w2S88k/4rSi/bPub+V9g8jikRPvVrz/+4v/ UCsfHCRm8vzWn+lh8vuIA/tQ8feajcxLYSBH4Y+q7sNFO482xXLmR4avjbe1 /Ue8S1Px5Xi80Wu35/5M8agH8YVRPla0mLD2xWR+2UzkxS6bav2SK0sbD8yk n7BtZB8peXmQ5lf/1SOvrlJ9sdDEYp+qdnYdRR7+TTlT9HCYHElLtueycJhc R2x/h7dydhj828MzoeU2cpycfEf8HBeRM6cdhubzyBey1+g+TOMox+R/ma32 tdMdhk9+QHYY30k8xw4Zx4fIvXKfHO+VDH9m8c/FfZTbSf/lizmvrmfJdt6b Z4qe5Pi4aO+1nBe+WesZtPddjgK5Cq6vb3HJonvVNzmDyC5RdfH0+9DWxsbD yPuO7633UHzv24eJPamv4oWIbbLTwnynvn/xhZYfhvbNit0uhvvyU+E5JhaR WDhiromHI/aOGJfi8IhRvOYwsdzEdBGnUgwZsTHJ0N2JaYlPp8cfxrzQnFDc XW3SPZqn4c/NG1cuWv6WVYfJ4WKetsow8yW8pxTfPO3JxT9wlGNiuuqb2Jfi XurjGkXzKSJvvrd03R+xX9RbrequXvJi04mdaV+s5bVL3v1ZZ5h9NEwBbIE1 KD0HnBtdh/ifZPhZK9URS9PxdUuGHxkaLo6eRAwsOpYNW7nBMHoA5fpFk1Of /oYvA3m6FjLqwATuPxX5p03FH99z9c6+ZhQ5+EPvxjLVf2vEjev9gXuAmbio 1tOu68p6P8lYm4qvtckw8SG952jxJg9r7b9+lPeMbzAfYcfpGjas/pPdtOpa uzuX9TveZsWHs9mi3lklHydYfflVDhgG9wX3DosPhw/rvlXRFxQNDw9vTwYP 5l872oZnh2uHlYfzR8O3f6P1fedh8jz+vI7hz8nB1V8/jAx/z6Xr3+y/7D+L fmt7r77a2jmnbdsOQ283TI7X49q92N69nQ7vmcXH22EY/0fxQXYcJverc+yk jen07euj7PNT1fZS0+nLs6rPVw3TruPa047cfDtW+9oUk4V8l56vlc8fJu+e 2B9ouV/5HfIZgLeHtYe5h9e3wdnD2MPkk/n0gvgoPrvk+VzA08PSa/+51eY7 6h9qXLqs2oHhh81XB1b/wqLV1bY2+ReKpeJePTw/9Xatup+dSftXTwdr/4Jh cPv8fNHb1TU9r/qAt0fx4fPR6sHjw+XD3D+35PnqwufD7sPY8w9wXfoL/88f AIZf+cKiry4+3L77vX3d82uqHbh65YurTbHC+K6KJ8Y3gd8lnzylfTh/eDgy UyXL35X829q78NJhdKTvaPTb2/aKYfBhyo3LX0A7xy8IPmwf7+1U8Fvq4mnn qFGOwZkdVG1sW/3QB/hMOXXU23+YbxAOa79h9mGxDijat/n+OvbT1v6BxoZh 8JxK+3BuypcPg0lTb7+qq1/71nX9czZ1NpiffJ4vr3ZeXu2grQXpB/1D3Qf9 h3U8zLc7jD8pPQb9CN2IOZ71Nt0H2VeW/MklQw9yfmvrNcPEFpAX6OBhcgOJ OSC/46fHGeuMTUcVRvSVdf/Ue23VPbhodX84yrFJO9d3R+mbPFOfrv6Yc5I9 pOrKQyUf1VXjyL6+5H/S+nZooztT4R9WMnBmh9X1wkrxJYBrJ3No8flxePe8 j851cF0LzDtsPZua8o1F/6P4sPF8F/g4mLPxLTA/MzdT8hMwZ/uZvHiNfqT0 LfQpp9Vcm77GXH3/2cjw4f1S8c3H8Y4oPmwT31Vx6OSkOnKYvFRHlgxaaf/M cXKCHlX0A3Ve83MyR1WbfAJgSuBJ+JvwPeB3wF+A/4Pj/Coc41tBFp9PBB8F 8o7zH+FPwqdATDz9/EVhW95W8njvLf5DJc/XgC8Cn4Q53rurHT7A5F238n1V 9yO+ibadP45vMB9h2C4x8/hEX1JYL7T4eo5/oPjWM8cMEyt1sjC03B8fbOWH hompq7RPVhtHV91jik9+P1g9/Z9KXrUPlfyf6165h/pJRsxn8bnkFoV7h3n9 WPHJyMcmF5ucbB+t6+Ir+vFh/BT4JaD5JiiPLT59AL2AHCn0EGwbdBTa/ki1 z9eBvDZ+MArfuQ4qeToM803zTjZHugH6gs8XLsva27obPh9eH45fvks0rD5s Pkw/3D/9LXy78UlMsU+VjLEK37h0tLjobfvSMJh2mPi5eieVjDEPFt24R3+I NnbOnZvfAd7JJQP3jiYrboY86/QJH2/P8pRGbzmb8tRhciwqTykZNHmxHZZq xz4/jJ5QLrwvDqM7pIegj9D2SuP0favZ5GknL245WXXmeF+odmDc5VuXF9K1 o+U5ojOBj4cLF4/x9EZvNpvjp5WMnEhobTh+xjC5IM8sGp5cjuIzi4ZZlxtd Tsnj2rk+0bazSvb0kjmj5B8uWTmW5Fd68jiyT5vNs/Su8hPRztklg3dCvcMw 5V8bJpeo9vSD/kf51aK/PRuZs6r8etHfKFobdDl0OnxX8Rzjbyvvk74tvqZe +OTdr3PqWvi9qtupZ35qPVO6Iu8tPCGcurmpOSPMMAwzvOshRcMay3EhL7nY gHjfL5njR+FPFgU7ja8ejC18LVwN7C58NazsYUXDCCvPLT7sM9px7X232jQG i91gHD6vaGM2nDK8MoyyDZ55DouNhmEmqw7/JJhlGGY4cSW8Mqzyf6uv+rnc JPKL/wmT9B++9tVVl/xHSh52Cd5ZO9qG+YUBnsMZoeGFYA9hEE8pbBF8L3yR 4xeUDPwv+rg6fmHJwNWi4W7po+RVpfuC7YXxhR2C7bUPB/Spqg+XJOYDeXot ujE5U+nHYIV+VXXdp/PrXsE+a1N7MJewl3yn+ODyy4XPFI8chhOWUnlJ0TCV ZOAqF/vwljxcJ9rxL7f35LJhsJ2Htu23jd5hKvEH9I0ez3F8WG73yznE9exU XXzxSMVXtX4fVD/hP70z3673U0wYue2tX8yl0dZHdHV0ef5Fp7c2T5MvYRgf DOsfax94SryjZxLnBCYTLpG8nJ58guAp0WSV1xafjxLacWspbVp3/KGVvx/G f2fzBaGPmcn6y3dnPSXP53UlQx49lwP0D8W3tvjjMOsL8XNgL+E24TdhMeEw f1/yMJzwmPovtpM4Qupar6l3Q9VVx744XmRvrOuFx0Rrg74aPhAWC74SbhJm UuwX+El4S/tocaroweROnsubjD6k9GDyWNNHwS3CL8I38tf4S9HauKnanMt7 TU/FrwEWES4R3pE8H2/P/4p6B2Aetek4XDD+T6rvt1b/jy1cI/ziXXWMnwF8 Ihk8WELYwjmcPhqGjc6D7oPuB/YBBpGstvSNnzTZ20oe7+/V57WqLp0J/JK5 BP3Vv4aJES9e6KULktMJjhdfjii4OMftw9TdVTR5sXQW4+4myRl1V/Hh7/DF 5RKngR6NDg3ODg7PcTo2urYjC3MCs/KiqvefapPuTd13lA5K7D/6KPH/0PRR /C1hxuCmlPcNn8BToeGu4EvgTORks09O3Cyx/vFhimCL4FHmZB8ovrgT+kkf KNYVPBJsjPLBovXbvrhxYhHC88DVwPSg31m8h4sPe4N2XI4u+By4F9gc9FEz KR8tPlwM2vHHW/lY27ahW5sKvdG8lI6tW7ypUWTw5o1iw2LPmld8/rFktMGG tUjMpnnhTZcM3sLi073xAZ7z/0XT1z2nbTON3q3JvLbk7bN7zY5yHH+22lEu KJoda0HJynFsnDXGzlQ7z59KqR/sa3xx9W3Duo7H6z4Ym9WFyV+5lSuNEkcI zqU/CtZl1fZsuqPo65S9oldfGJkrC++Df2jVGxSfjhEeBSZmMS5mFGyMEp/u cdlR8uqIwUL3qK7zW7+OR1nDiuGPtg7m1ycmIN7/4P4bvXSru+QotLhJS42y j16i6KdUG5NqE2+x3MJqo+TlFFuq6NHC9FU/xRYg45xiNImRN8dbpuR/PJtr WWMqOX2Wrev6V9Hy/igdEzNT/MzlSka95YsWCwytPb6O4vrN8VYoGc9qxXpe Gy4I/fLp+K6sXPwV65mKvby4bNurxuE/uWT4VK/Z6JNbnzdeEL722C7ZktmU 8VYp+Ze6l6NgBuAR0DAJylWLD1eAdlx9tum59QraPFa5etHeG+8WnNjh7Rxr uKdT6dca1TdxrvRBH/9YY+uNcOOjyMnNLWaNXN2uad1WPrVtv5qKHy4/3o3q P8tn2X/5nfMjMzWVY/j+83dXfXV/OopPK39APLmv5L26f5R9tNg3+Or9qJXn tW39Udpbp86142x4580Ep8Fvd8fClvCN3WY2/rL8Zh3/cSvP1+dRZPH50uKT 5xfJR5JvrTb4yOqn+OU/qjrk8Tar/qu3cdUlt0mjPzqba/zJKPt8H8lrTyzK zUfx52ID3G4UOyNfri2Lf3jJvLHKLUZP+H+Rgb8QP/Ppo/hbHVD0/gvjL8VH C9bDxm/LcXW0c3jJblV1zQn4Ghmv8LYuvnvnPp01kzGNjPmqPPI7jbK+g3vT fzbQbUaxs87ZWNEP1vU9c/SEzRTtuuW73370xLp1x6LxHBNzWH3tsuEeuyDH 5MqBk9umzrVjyaurtC/+9EcXpJ/y4HiX16r3mQ1WnBF2WDnKd65rsX58VtH0 c2To6JS7jp6wt6K1IRezfNiwnZ+hBx8ll7j2tCOOteO7lcy5rf6eo8wDd6u6 YkezteKzvcLK717y8rk/Z5Rcukr74mY/r2h8cVGeVzQemi/M3rOpIz98p41N i8bJ6c4fRo5gccJtePfMpC/Oy4eIPBl5e+Xv3eP/q7dH8V8xqrnZgvT9hXVd 4n7s1+gDp+OnIXes+M82OWTnsMlo2GbH9ypavkq0etcsSP5nMWpeMor/Bv8I fhv2+W5o48VVF2/v4u83yXhqzJRL+iVV1zxcP91vPgLa1N5O9Q6Ilb1/q7v/ KPEi5M6SQ2u/4u1X/ME4+3JvKQ8oWj4utDbYQNlQ2VY9U3mL2UON5/omJ5dj L6tnjbdv8fEOLHl2dnphOmH4jVfUPV+x9WGebSpzUfZRc2o5ONDmpfJsvLJo NsxXj2LH1AY/BFh98x/zIXMccyp2TbKHt/KNo8SMUg/fXOvw2keLFSkPgX8f /L829XGuH2zBC6t986vXtTqHjLLehb+GpaZTtMbFN9eCrX5d0WyfbKDyw/jP Opd/LlsBm4Hj2jm45JebTZ/lSzX/wof11gZ59gV68NcXTdZ1ynHG5sPmwX4B 1/r2osXwfMsotiRxRN88ih3tTVXX/TmilW8dJTbU2rOh5YbDP3IU33M2IbYh sUMeb+Xn2zaayprtTdUO2SNGT8SYOrLotxZfPrjF96+u1/nV5devbfYntp53 tfKdbfvDvNhlXBc7ls11iQMxNR2ZeVWqc/l03qn3jPJesR9pU9/x3tu2FaeC PT6qzgVP+e46lzbQVxTvXcWfhl2Bba3nvfgZt7rvqzZ/6b1q9+UDvpeZ6DPp PelM6X3RxvZjRpERD0Q99b/Tvvc38FNq9GqN/+1RaDYd3zV9pvH8f6PUl0cA Fu2Yaof+kox/xdz55v4z76/zau9D1b7yw237N8yzeq6XHrWVH6lnKobIx4r/ UCsfbNvHR6GPHcVuxY6Fvnoq7Wn3t1Ppy3HVZzFHPlz8jcdpY9WpnFP798yP npW86/hsK08m39r+TNHnT0XuBN/FVPRCdJR0Q7ZPjqI7OrxkzAmVnypa+emi xSY4aZT8y5vM5h2+cibYEu3QT4qreGL1Td0TS/7EahO/Mz/vk3dJveOrrvNo X7xZfXc98smKlfDZuq71ZnNtruuRVj7ctlO8uzMp5aX6cys/5xtsz+h7o8iz uYjz8r56306q69I37Zw6iq3Nt/lY1WcbO7Xa/v10nq97eMso7/Ko8VZtz+Up bbvI+zqKXs8c6Yip7KOf3tr5YqN/V/MoMsY838UX61uD56R/ozc7Y5Q8u3LD 4Z1efHo4+2Lq0LPh4/E7Uud302nXeekS914YvnbOqjbJfqJtX2n0Ve05XDoK DTvhODmYGbxzig8fgVbvz63O13zX84PPOavahKWAqXBc3Al2TLZNej+4DW3c 1cpfj1Jfe1+t9vHVhbugA4TP0J7cH/Jt+16NwcbibQsfYSw2DhuP0XATvtNv 1/fynaKNA9a83ynau/C9epfw2I/ZgtnntW+cX3acY/hscd+v94f9l7z2+Ayd PYov0verTTKu4xt1Lb7vH9b3zobGlqY9Y4/rWrVs3GSMB4vXMaP4EfP7RVtr 8Fu2ZrG+sP6wDiG7fJ2bbe684pPH+0Hxzd/V5St9+/y8p9eIfT1K/63frV+s f8juKT7nKLaqC0ahYVnZlH9W38QvRjmGb31jnWMd9BLxL0axB8Hd/aJkvGO/ adtt81MPn95+5XH22bleMBM578Om1eYm9V3+rL7NX47SPiwr+lej6PC3bHUv HuX6YAJ/VTK+TXy4EXnuf13Pxbt9afVH/pJLRjmu3i+rrvw6+qxfq4zDZyPT Bvmb6jv4ddGr811p229HiRF87Sj5UGzXjPK/+G/bLnffW3nFKDRc5R3zU+/a Vl45yjH8NcehV5/J3Paq0RPzYfPaveseeQZiAuxhfBmlPVjHK6sd/vbqmgNr D5/O+fx67t4r/VcXtkdfrx7lf3ersW8Um53rcF371/Friv7vKDJ0C8o/lPxh bbt+lH/W4VWHvNgEP6l35qq6Fn0Ti/m6UXLEaOO6amdu39rNGOz/Zxz+4yjt v77J/GmUffQW/CgafWSTv3EU+oj5ib/8p5LBc0x+FvQNJSP+8o1F499a7fgf +K/4350zG9r/RXlT8eWVQTu+/oK0uXAqcatvHj1x/OaS/0sr/zrKf8E/5S9F yzGD/txs/jO3FH+XNg78bZR5u/LvRYut/I9RctyoQ96/SWzlW+sardXUoUt3 n8jfNZ21gHYcp7szLhgTzi6aHu8/rby7bc80vx0nv/alRa81Tu7tdap8UWtz t3aOO4qW3xtNd0cXd2fRvpu76nvEo8ujx6O/u73op45zDM3X4t+N3mtedH3k tSeOtnvonn292vRd0iHRJdFD0XX9t95P1+F6tLd97aN/XzLeMeU9Ra9ZtDbW b/25bxTdlPLeUXRcB1XfXjkv+Wrx5WT8d50LXz/uK3n3/0/1vO6rfmrT/0xe AThAc0bzRf8O8z77r2v384FR5rKr1vyRjOPHFN/82DzIvGij2cQxnxlnnMQz 1zGWfmi29ufV3Kfq+b7MZc1dl5nJefVhhXH45revmckcCf2KmcztzWHMB82f fCuL1xDjzLUeKz557zP5L01n7jNd6wLjq34aY9VX59zpjN+z44zh6k3XucTh nz/Of2Txv2ic/wjMJ/ktayxcMM6YNoYtH0eXS+dBH7LPbLCaZIydG7Zyg7Yt HIcmQ9eh7BRNB9KZ06W0sjeOrkMOtu4446p2tcFv1XiLbwx/2jh16ApuWZC6 8l55Zp6rtc9+1a425Xt7oJ719QvSf77bvg85IXyDciWgfTfWxuO6xmeMQ/Pd 3qXVnYyTV2KJcd4xNN4SRTvnoPq2Y8nvUPoNfP3yXpJ3fNe2LTVOvgPl0kWz PW1d533SOHMp86gHFmYfbV6GnpunkcGDrdTOzgsyhzG/Ma9abhzafMb7sGrN tw9YlGP4c3Lmdebjq9Y7o71lqm/mdmjn8a56p72T3lP6lKfXnMe8xLzHBrtj LmTeAe9ibqNcpd5V/XC+OTzyU+q8j1b71klwsKvVe+idX7HeYe+8drRt/fbk atNcgDxMrrwC640zPhhX0MaWNcaZH3ivDqp9tHqr17m8e2TMM+SwWqvemTtq vDY+K42zxthNxxmb/Bd8O6vXfEa9tauud2/tGutvq2N8R6ydV6pv0Pn05+wa /7V/R41/xtC561i/rkuukXXHeX8X1jf4Uniwon138sRtVO+n93rdese8t0+r 73DuP+RaFtU3vLCObVTf2gbF16b+rlx93qja0f4m46y3zVvMYTYbZ87g3rhH 5hy2TUpm83Fk/Ov98zcv+iOtf1v6HqeSn2a7ceYSymcWve047bjn6m1RfHMP tPbIbl78zavuZlVv06rLVvf0Rp8xL9/fM+r+iGuw1TjHjR+OvaVk8S+ezv0k 77icQNtUm86xXV37DuPUIa/css7lPpGnx9CfbcdP8LatdswvzDPMVdTbvu6J dnaotp7btl3GscHOWxgZ59q+ZNC7t3K3cfCHzxvH55GtmM/h7sXfucalnRbE V2LncdmFx/G/Y3N+gXehbdfxDxjnGD5/t+dWHxx/fsn4v25c1yhu8bPGiSPx wnHir7Gb7DpOn/Rnr1a+eBzdo/jNO41jK9YX8ab150XjyJH5fz2eFtY= "]], PolygonBox[{{4178, 4168, 337, 2012}, {4175, 4163, 301, 2007}, {4181, 4179, 2202, 2219}, {4169, 4180, 2219, 342}, {4167, 4177, 2012, 334}, {4164, 4176, 2007, 304}, {4166, 4183, 3426, 310}}]}]}, {}, {}, {}}, {}}, VertexColors->CompressedData[" 1:eJzUe3k0leH3LxGRIRRNJFKpyFAq0i4VMguJJCqSyBAyNkjKLBIpChlCgzIk kiEyntE8T+cYzos0qCju+57zfu9dq7X8fut3/7r3r9b6tNvv3vvZ0+d5ThvP uhy3W8LGxhYlxMbGgf7Jvla//efHGtCnvz1hp10FV9q9C9/RxoBG9XZiP02E 7YVhcyP1FNhbHR5FAgQOKxaL7ekhgWGy+dyaL80Q1Ccr8yoLAWub5HdH7pDh tX/qlmNfWiC0beXJ7xUIdJ6/WXA4jwz9DaGeETtbwUlH56diLQI2uPzbf+Rl e9atxfR7xU/NY/qbkoOY+hOLXrpg9liPf5/H7Hml4ByN2XPPwqSpZpYE7bOE vNT1LcAd4FUs8gKBj37sRvzbqHD/8T1D+Qvt8PFkeP1OtgnIi18XtDS7GfK4 OtlSnneChYRi64F9E7DBs1/rcGQLaM5+3ODD3g1qXX2psqcmYP1ntuzUjha4 leR4a+mVbtj5N/u3lf0ERD/tZcrb7f3AlE+MY8mrrpBg6k/82MPUf9Kfpd/b bDnTnrArT5n2+BEjmPbcx+3v/sd+vn7f8bFaMvjqvROVN2mFaKmU1IIGBLZn 3ByqMmkBjXHJzyefd8FK3uUa3scnIPBzqVzqzzZYe1psLCStD37EHakZKZyA Z9fbhE5XdIBihGVqxLYBsIvoaEZmJ6Avqzo2ua0TMnj1dUbbBuBzrM/DPv5J 4BgPPnRgVxdwKz0ksvMPwtp8owdmQpNwOZMlT+FhyRfj8tdvsvTHR7L05+L6 3xNZ9vhfZNkjH8+y51gMy37DRpb9ktws+105/Jj+1t9k+UvZwvLX136z0bNJ Eux2U66z5G2BJWYNYpo5CPC/3mJ+rrMV1j0Pv0D+0QPKR+cdgsInwPAQD8Q6 d4Gih9xwn9wg9IgazvuITMJxpcYNd971AqGuaJuk0DDMamWq/FaahKU5avbN F/rh1sSU4+hhGhicjvvzU3MS1u+2uxsw1w/7yq/92j1BA5Mz23vZjk+ChOky 5UzUT8WKggPHpOlwcb+61B2zxeW5cP23/9FvgdtD+ceek7j9Kv/YL4T7K/mP v0fOsOJz0p4Vny8mrPjcqubeq2/RCtdOOidaKPeAAPfwCzOfCRC5FdotKdAH TzV+flfSGIaydJulO1Qm4SzBxXPd/kGYMXTuIluNwNOqm5EzFyfhxtsfzX9e DoHg4IF8zwejcHs++/70nknYo9/g3h08DMtXJDk80h4Df1sVqUqxSRCO8ib0 /BqGw7Y5hq8zxsA8cWddJdckKJY8ux27ngYH1Lsvbv00Bsr73pNc2P+P/JF/ 5BfTH4jbI/SPPedw+3/9Y/863N/0f/x9hsfnFR4fETw+wk/2HC06PgADZl9u 7zWmA/2hSMztk5NQXnFA8GE1DV4Z7pB6ZjgOWc9iHu0fnQCzFzueZ1wfgeWp 4XtnoxgQLLOrkg/V4x0N0/Mqo7CEsObHnz4GPFQS6Fy/agISyw8JZCeOQgrb kiS/5QhEuRGk63oReC2x9sj5plFYqPIqTt6IwJKGcxlSVQgU3w524ekZhc02 C5HuWxF497z89qP3i8svpn8xexazvwr3N+8ff9fh8WH8E59l6+a+bXjEgKnj vfrsoQhcXxX16JHGODgrNNveRvHxG5uQrhAEyCLEjiX/BX4Zx8dwnPT/Gf4/ 9dcexxEc78JxmT9rV3LcYUBL4PHxtceGICBz0887nX1Asnh/YB4951bnEuFn P0bAZGPuDFvVEBjtH/xsgs6TxMB80vOnY/CxI8/Bz4YGdRY8P/rHENh/5I3Z gso42HWZbJDZQof4jY/Gc3sQSE6vuPXu7jiUzbT/ko6lg4LuebpXGwLqBXMP jN6Mo+fsuWVdPR1Mwv4EhrcgIHHQPW3Tx3EQkYv/KtC1uPxi+v9jjzpujz1u z2L2/8ffDtxfM9zfrXh8uvD43Mbj89xy2eZ7SqPAUfPF8kJSG1TaxTodEW2F ziG4314wDm/CpPxFFAeg1GIP4ThXDwTLVb7aM43q4TgtpGUxDKM0QTPJ9H7g DYj4VKyDAEM85tdMCw2cmwgGCeMD4CARciHPD4GFPvOP1/PoQHr/iM/y+SAY CL9IjohDQCqrmdtVZgSe3VMoEhMYAvHSI0cykxBYWeZSXX5sBBJ2dDWmyw0t Kr+Y/sXsuYvb34vbP47b3437+w739xPu70s8PmJ4fAh4fI4FphquVqBDkdKv rSL2JFBdfuGRcT66nw0KfPI8OwoZm84NnznWDqJ3ZMQKr7VC1sMsw9jBMahw vFBgsKUXOh577G/e1gk/muuTrVPR/IiAP7IL/aD/1SJlqLIb+uGUqeR6Biz5 tPSawp5B8N8yYuLh0At1kU1dxmcYEHimqP7s0CCskSyRX2vcB8co65bWejBA kMzz/OzaIeC/3Tvl8KhvUfkBXP9SXP9NXP9i9rzG7afj9n/F7W/E/WWXYfmr j/u75QYrPvzbWfGJ4WLF59W3bxUiN+kQ57ZDuvsuGWg6WhrIeQoI27G73iWP QHX0oOTcwVaQdrx+NkujBQL2+p3SaRyFPdZrl5yt7oBECePZG3ZtkMRjclvc awxKqzV85bZ0w6bs8fjOtnZYMdXV41E+Bpax4uDi3QOGhO+eb/I7IEPi1cid ljEQJLp9cR/uAU1bMc7svx1wGJe3vs+SX8DlP+P6j9ew9F/H9ZursuzpOc+y J02KZc8fa5b9iC/L/j4rlv2rEJa/x06w/D2uyvK3z+lFT8IuOgQLZueoe5Gg 55mpsHQZGTgtrzSt5hyBB8Rnw0ZnqHDbWqU2PZAKGd/WK0fGjMBclU10u3UL CLQJnTMuboaB5OiQ/SMj0JrTcG8sshUytBUW/ri1wHutiEvKHKMQf7Jnm8m3 Vlh66AHj18sW4J2OYsonq9Ux5UOb5JnyRuXiTP2DqeeY+s/FiTD1v1Z3Y9pz US2Jac/OT4pMew6bFzLt/yFcz7T/gKgD035zi9ish1doMNygwUdeaIS9/DfU BgNJkHOxYGOKLB3Kjsd3dxmQ4P2mTu69GWSwXS5Q/c6BDjXKYfMXFMnQfbhh E3EnBdzXdUXoe9PBbH4sxfIiGQ49v1lfZ0yBl+n9THmzS9fZHVB5WuiDzZi8 4uQWKUy/XbBSL6b/1gB1GaZf6eyedMyeuEyzeRJqTzNpQQWzR/Wcq0RyGBFC IjflOf+hQODxTdRQPbTvtxrbs/mRANq4MzdZNcMOl64B0UQERCm1h7V3EGHf QtuKTfEU2OHx9F2gEgLn4xG7EHF0n1x79X1rIRXEORDfK/4IyM+lWWF4j/iH DAyfkez0xPCmo9v1MT3s7qS1mJ60KwolmJ6Late2YfY8W/HtA2aPBnK5FbNH M7rVDrPHYqNBBmbPA/E6pj3mzzy0xSoJ0Kmr02i8GeV3lWc/3VqFwKO2xK9T UWTwZtNzOPm3BW78NJM8gM6DhaQEJn4qQ5uJd6Wy8Kgz+zJVQ4nw1e3Ssu+z FIBtAVWy6HcL9nEt7Eokg7PfLD+ZrxXYyySInz4hMGPLwoXfsfA/VSxcgCrC 3avUBAjVLW37NRJ0cKWdupnFgBp+DiszOyIY7XLkqqBS4EenV56oBgL2x0q2 VP9pBlEROV6dzV1Acz5XE3p0Ai7i+Docp+N4p1GrVZjhIIRW7BBad2UEZCaX ODhemoQhHL+P45txPPHu8B/BWQbsypipnXYZBk5r3QOu+f1AfxtjPfFwHFZy NyQ3jCLA49kY8qOaATO5q+zE0blTNhuwD9mGQPwbsuyKstFF8SRcvzqufzmu /wU1IPNQHtrHdvgXr2pqAWve3jVHUX8Ww+OujzkLX6WBjfmjR7sFmuDBvO6K kDskSMRxDxxPwnFu7azIjy5oX50/8i1VhwznevJpG4ECHMdZ+MjGo0xc9hsL V3Y1dIsLHwbpVUsfr9aog8qBxoH8RALoZbdLf7lEh+TQjde+7ydDF/X7e4oK BUTM2pi4bcV6Jl7MmGbiEb9M13kE0wCRpP74rd8E81EbOWQek6Dm7VmCwlI6 vA6Pq16WQIS2sIc8FSfIQGozYOJXJrmYePf+y0x81887LpzKNBgKL34g8r0B ZKO0Zy12kECp/6jesjvonM7XMLIxaoJCNtd7DFS/tkle9rEzNFjvvjPsUU4j /FiZ9D37AgnmFOaL5Eg0uN1ajSRdJ8DwCTuhifnFccHhxJeYnsakC48wPUO8 Xb8xPbpradrYdxtTDmlg39U0GQvHvqv0/Ihu2yoSfK7Ku+WfQQVLkTfx4I3A oMDr55kFRBCykd8oJksF4Wgt/aUnEQh3eG0QoEyC5a7y+v40KkxZakS43kV5 hp+mz5gPEa6KuvAnj1Gg1Slme4EWyi92NR7G5B/18qhg8llvDO9g8qYmxdmY /lO7tKUw/QXzUUz9y/Wj9DF7TuhF38Xseez2NQGz5+ual7la+0ggOXpSun6a Cl7Ju1YlhiFwSpeshfUH3vLHDVh/uLhVhdkfZnD5Lbi8Ny6f99pfXc2VBHS3 EnaGbjO85LgiG5CAQKqLOrM//Kh0YfaHA5rXmP1BlsySJ6ey5G8uY8n/fcLq A7lJrD4w8iuV2QcMeuYaUnlIYNb56nREOBVojx2049wQiMXxMRxfnsTC96be 3PD3bTvc2YdS0DP9cLWNvpdGQfk7jkfjuDeOX/qHLzTjvGAx3A+4THYIj8HP g6nsRuWd0H7PYYH+tw0CcHwex7tw/ONHxpe4jzQwj2dfoKoSYNoy62neKAk+ 4fglHP+J4yI3WXW39hSr7uYEmph1J8Hp16XITodx21eBJ/yIUFz4XYXXgAwT 33yZeNbESyZ+KZaFW+xm1V3uTyKz7txDJZl1955gcsdwBK3HuGNdt/oI0KXp 78cQJwN1uyYTr+AXYuLB7I5MXMtAjVl3e8r84rC6c28f+I3VXdrVYvGqOhoo rpDZy2lHAJf1sbtMZ9B586VyLYabuHdvx/BLdYkKGD5s3lcSmUCDNsOCZ9wP m+D0xq2f7fNJ4Di8/57fIA3Gdn74fr0B/e7ZDK8rYmRYyemck3GdBko8eUE1 ik0we/V+MXfs4vJ39s4XYPp5Is3CMf00b62PmP7oHTzHgtA68l7aF6aE1tHb /aahD9E6+iDfnN3bT4T171w72MypgNziXE05h8Dd1eYCjc9p8CxqtOd6fxP0 XvPjutFAgqDOdN/TaH+Ia45Fzt0gQJSXq6DcAgkMqbFU1bs06FbZs8rcDI3z E3XN4GQSGL3ytAmIJELcuYVO3wUKSNeOPTDRR+C19qEzGJ5fUtSB4XYxcUz8 WcGTZ5Xo3H/9vu60UREVqGnfP8Sgc991mQ/T/r09ZuGY/dTP7kz724MeMuV3 x5Yy5U9pTDPlbxtc+sLeR4TAJItTXGZUWHZ9jGGI+vUR91fiH3/fJTgy5a26 TzLlz+uz5NuWseLwwIAVh7aLrDg4FM81xmTTIMH/ZmPRUBM0VNCMQhvRub30 NxN/fMyLiStLDzLxbc4vmXEbsS5ixk3smx8zbmbfrf390fO1ydBIE0PPV323 yS5iDAmKKJJMvEb4UCqGD/9YUMbwtt/nKVicvd4YrsDiHNueeQSLc5Hzg6kH XFT4Un+grkKxHRQuyxSPz6L7iUv32uiWYRi6+2B5ZMgYxH1IBy6+SfjL+bM9 8ScdXgydG/VUosJ9h4qKCxeoIJr9VjWrrxEG1Jx6q2RIUP2tj1p7jwHnO+jN 2VME2HTAg/DhBAXW5dem/NiIALnAcHfSXhJEXT3HOPOFCi5Sbn/3o/3QeBvJ sSmoCTxOliXvbSHBrom+yv4yxqL4YnruS0xnYN+1RJ4kYd99yb0/Dvtu1+fH HgitEVYLSR1yQutwLIet91osAwrwOEz+E4f23LcHzh4lQqkmx0FiHgUY8kGn Tu9D5w4enwE8Pg/w+MQm/2yzXUYFQd0GSc9d7WCmz86Qn0PgNx63p3jcwvG4 NS6svRcWgeb1xRNCIewjINr6N5Q2OQjpJmxJ5Rdp4EqLf/i3tRGyfW/bvPYk QSZxOu7LDB1OTh0NE1agwk+fXR7f7aigOfki66bTMETci5ET/1AL9kUT4R+P EMCAcsaugk6DfWHlySo9BLhsq7NcDu1L+6O7pj68HIY/NzcH5BPrIOjXpRL1 GQLsKw6I5NSkwW5DkZftGo3wIYWqRjxKggjcr6W4X6a4Xw24/bm4/SK4/Wm4 nbq4nVO4nYvpr+cMf3GxD+2Tal2j1WUEWLkjz/eECBn24HaO4nZexe0Mm3Ud y7QdBvFXlcEbo2tBjf/v15wti/u7mP7SWvnR4YvDML6E86P2m1rYss/P96M6 AW7+vV5N2InOfdvtIc97qPCmPZzqHIwAXyynL62hERoZRzSrV5DAYMmNoHPh jEXlK9JvIKWlZBBzdz/VivLTZ8vt3eh1CDji85GBz8dWfD6eWqljEOWPzql9 uqlp3mR4IlalK3yKAj5rs7Yr/6WA4JrO4MfS7VAz+DTo9m8EhrKiem4FdkKy o/1xicwBCIskhOTxTgL/qBpR7MUYvOE4Yquwqge0465bZrp1wNp1N8o9vtEh b+1BlWhpKkj5m0afsqbCe9xOPtzOtP/GTgvczmHczke4nQuG/Tqxa9tgamMf X9CJXuDefW+/wIMJ0KtgTCS7UWEwYap4gdIOy2UknSm8E+DVvWPslDoZblRX CEzfaIFpgd7sX4UI5IwyaOPbRuDCCzo/2yUGOFQR3PdnToAAP9dh+Y5ReLyE Xlm1GQFrGeKjglIEtnw/UUZ4NwYjurdeWaL7nP0lqQoSyndycT0OuJ4L/5d6 qpF9nQrB43Dgr5j/3AAC6nucknooDOi4Yt/cHj0OPp+Df6TQEZASm80UaGLA gX5TSZvVDAhoK7BSfI/mTb50/m1uBhw9KW5+LQUB3+UqdR/XofvW1Q8vSjJH YbbYy1ThKcpzDOcT/DchsHR1TozW21FIvmGSli2BgNm2WL9gC3Rvu+K7cN1/ DOQj7x3V9B2FQ28+1A4mt4Ngg8ju9DetYL11+4UMiRHws76773kZuq9GnG6O KKWC/PWmbj19OhzucL40TSABacFPd8l3MtTVIN4D9+hAu3vSSamaDF9HrE/c C6HAPt5d9iLoPjOoanQ/tBfdn+4RxhPROhI6VSLhuoYGC23Gp5eFNoBDY8rG lbwk2LlSwAfToy1OYuqZupPJ1HNUbedZTI+/ROYtTE/ZWicapqfW6fhaTI92 Fo8upidyZ/E6TE8I12jeWzQvCkL7Hu48NQZSD9vMczhpIDWlZ7u0FYE3lAnl uZJxKJST0htopf+P5SV+b4/3T6CDete9T+PdZFhXUHXsdzwFtvU4nto1Q4b7 otz8F+NbQUE0K8GVgs796l2hC+h8Id690a2A7u0hy0Neu6PzRX+vJVP+Ecck HybPmZTOlHdqnw3D5A1sj/Zj8t6cN/Mw+ZVGrLrgl2LVBS9eF6fxupjD64If rwtvvC5u/VMX/6/loRKehwZ4HorieRiM5yHvGVYefsPzkB/Pw6Z2Vh6G4Hn4 JHdAof3NGAzWpN0sv41AvQFb+wpN1N5Ok+k01O5ldJ/9J68woNtbu0ahbgQM Ges7rUsQ+J4kHeJxmQERbX4v31eOwH6d0mN6K7B3zW3bN51vAB+axZbsOSII fp52+7oZ3ffOeaa11FPB6VqbSPxNlCfmc5NLggigs4vt2UYaGXyChuoqOREI dfciXJqlgkq/g79oSgfofznyePOGCQhaZm7L1k2FzPtW1RpXOiCL3dM2Ze3E ou8shULWj1eie4fxxpvvUzG+WnBDv8d7DKZau2qrL/fDKfZThr26NDhfHEn0 15oE7y+kCF7VLojmkyo1XTEIF+/p8EUITcJe6lSpT1wLFLQfajrB1w3jvdu4 9ltNwKMNL9IvHxlF98iHXJ00BuS0aX6t45+AaM4tLw4X0mGZUlEKiDLgzomd PZafJuDEpEzFi5cD8I7LMOb5ezo8ihijnz8zCdeXVjSpjaL9Xj37PQdq9+N9 m3bn76bDksxf8XHoHqS//qrfufFREMjJ358TPwz8jfI3IjrROL25JZSaNA7q zZfu1bykw3k+Z6ljGxjwt6BG5RgMglPqwbfnr/SicsZPOlrHQEM1um83oweW Hr5qpLakExIMNdv+vB8DTqer0ReseqDz4l+hKjTeaq23qDxoHZis/COfcmYM ovqLU0J5abB2B+3J3i8IlBJSRm7zjUMe+1NpzikaBG/xXUE5RAaNlZn5z++0 wKoB2vnUIgSUTMvYIJMEFQ0aEo3JzbDm2gfebDS/X0l+ID37RYdMKXsebn0G bG8S0PN8PwEJjWGjv9+Nwv1l3r8KViOwS9320mECWr+tbFzRGWNwVPulw/kb CJxlj8qqRPm4HteciSNpDPT7n7ep1vfA8U9J9d8YHbCySnZw2mEUxC+IIlk2 7XAh84FLZ3grnA98t+sZD9qvgtzqh+XGICFkg7oJZRjuL9VVfs83Ae733h96 oo/yYIPcd2Vfh8Eo0GWJzTQCTe79lQ2c43DsbLwQYZgGs78GvngKUqFB/gfv BmgHo2fblff/QcDiHm1FQgIFpksNE/nC24BPpQ1ixhHos9ksF21HBimep3qB H1rg7YWjG76i845nXia8UrwLPFpXb5VgGwT7Ltvgaysmwea3vOw7jS7YsOnh SYNVg3BX+odAP5qH8b5E3nNrhqGx1K3s8OQoDEseDl25dRLyC+OKrBRokLRK 86J/8xiY8z1/6j+/+P2A7sp7yWL5COwJVtJVesKAU+4KH6U5RqH7wgqD7rMI CDrvFN2uQYdTOutskrQHgXPrcCLRlAFuF9gCPGoHoftnRlTRjj4Ye7GRONOB wCP2hH2xKePAFSci8+ctHY4+OyD/8RvaH4vk08a+j8HTOLZaEpEG+veK3Py2 kYFLUOL3jfMtED2lErENtYPzxNFPiiNkdO9+srvxRitslRG+v5uEwKjlMfBL IsHInj8gGt0M/uyhMSpPELhasrPo3GoS8FbsotJzqFC60nUwzQeB9ztIbH5b SfCkcaJajECF51b1Hs6BCNqXteyLzSlQmL6t/Pi2NgjpLfOc7Efj8WJkY1bl ECgfXLcsL2MU9JHHHUt2T8J7vT2v9TtoIPurbp17OgG4he5+3bycDOeMLq8a aqAB9SvBjOpMgKfaW/jkfpOgy/CBpVjOMJg9DmGPKa+DDjM5A0+EAKJG46cx /EeJmSCG071Wm2M4h4iOXOlVElx+IT+017wZzpLWJic+RGAgftZlyTIK3C+U rFFD+3gLJ/+XVS0I1Kx/fCLuYyc8+DlbKlk/ADsP/Hn5G+U72kpop88fhUD+ qv7HoijPiV+qOYjGTT+gs6QsbAySbki4vPZAYLM2pdrmFLJov7JR+2G3tRzl 632Fh+wMGBBFNvtulTCyaF/64OTTNvOMBiq8wdVejU2wsqjDhKuaBP6bOmv/ 3BmCdBHygY881SCnbqVq298AKsdWbWjYRIfC4eU3r6mT4KHVn125j8hwnIgs UVRA/13RRW3fXipIJ1F90tC9XfCs0CVsXrh9br+PzQuDjaIrsHmh57RWynQP CW5yxr54NkEFO5c0rZBQBA4ksOImWcSK2yAet434vqGD7xvS+L6xfVOJFVc7 DSDKT0LmKQG0lARsXHnI8MXorw2GB4tIK2B45kClHYbbH7fyMN+NnpeibdOl MXRv/5nqfwWtp1Wr14bs2kiC1QLko6nonK2cC7TwuIbOmduWURiuVLHGBMO/ /0GsMDwu61P2cv8mOO23Y3S8gQSELWXP/EsZoLu/5OCMPxGW39a/34VQ4GKZ 5elQbbRPkm9fPbaBBPQzA6TI91TQ5ryywyEAAS88/5f9k/+7RZsOVd8lwgdv +vELvykgm+dFqNJFwPLTKBPXH+AwwXCBg9eYuMaMPEdYOBGkduyzuYjym4rH 9oENeovjB+RZ9dVGZNVXwGlWfR3N1hptKu2Ga+8sTwig/HOZ37HHbJKTID5q FDAeMAIdrYLn9kYxQONLXc+8zwQs7Nq0LZRtAjjfZSepP0H7A0eNZKI1bdG6 S1B4JnDpDg3eFA+U/jZuAisXi2EXtC8UyaUxcc+7PUz8+sqTTFxdRoVZpz5i dFOsTkO4updjdarUfMe1/TYNBgqkkjx0m0Az5par6SMSUOfXuGF4VM6NJxi+ 3lHLDcP7RoQ79lNpcP2t5h29cAJMUuMtuTjIcGxhpA7Dd16w08bwNYePamK4 z4d71X+ciBBLJFYPdlHAbuFtkdwRBPxw/ij8D3/sx/lj0j/8UQjnj59w/mj2 3/DHRt77uTHoXqC+z9g606UO0pArMVveEaB65fqnGB5w5uk2DK8153XD8EO7 KnaUc5PASd+rK+wuFRRv7n0X4YrtlcPiqvpNoPW8l1cukQQr5AK+vn3FgM1Q ut+RSgT/aT7rAm0q+NYF35exQSB74vR9eRIJ2O9whV3tboYbP3pNP2ag/eeM T0JNRT2ES3meXdvYAMl93faUv+OL4hy5xVqYnvGiaDFMD8Xc7ximp3BkbmEf ak/uytWMHag9t+4cH8fsmevy2onZM+76zRCzx0JiJBqz56r5dXXMr6langXM rxLF0xWYX2qGbMk7VpDg2yA7p3siFVTFtllv8UTnMsMxsPD8GAivbBjIPIdA pu+cQSYq771w903xahq69+1bs/JOA1QbVhVs4CGBil9yOE81DdoLhz84GxMg X2FHxMIUCVLeBqlh/Y2is3kE62+z0gvuWH9brB+OjhwuOV5CA7Wn8QpbZQnw PN46cm6QBJ95n4RwlNEgzjSg0nAXAeL/aHg9oJOg1+HRcYkrrTCifF/+gGUP mGx6T9geMAEuymzaXLcIME5+V2c0RAbO6svGuuj+PCWa2TL1Cd17B+PWnZdn QEPTKbrQ5ZFF7be/Js38rqt0QDn2Xbp7kif2Xf6C498TBOngbBmrVj1IhG3d XN/cncmL4tssTX8FrCXByaNpYdavqdD8U625zhft20WzaZ3XUF46pr/88VAL PMuQOJCPzhsLHb1g3i1kkA0+02d8pgW836xOz3yLgIfsp9ubNlAgbqbLalVL K9j47vx9ux2d16nB8oenSfDJebO7vkAL7CKtr3ueg4CymnfsQzs6bGorMFDa TIYfx0a12GQpMHE5zVt6Ax0+2c6dVZAlwUf3h7vMo9A9Q8SzL62JBt40mT4x TwLMvBA4HTxHggDnNbdU4miwYUng0m1hTWCU1RnJeEWCUc/kRttzw7BJ1/DK sfhaOCohKaq3gwC9Mlm3MXnakfUrMPkHw1oxmLz/pq9IygsidGjPbrsnSYVX FvduN5uhe45LETM+5gTPcCw+5SLuzPgY4/H5hccnHY+PIu6XOO7XNO5XYecr FSFFOpyMfE+PvkiCVj1HB9dCMrrvvWH6lQ/S/Zhf5Cgbpl98Dzep+jYSoOhU SrmlIgVsJVY2WaD7dXB6YxQPqRFkA16HbV9FgqVj6rNBEQzgfNywmj+eBF6e Vmb2wc3w2svq26FkZFH8yZr6JRRXKkymhnI2kNshxSf2N3Yv8B3nWWdxnmWH 86xDrfQedd1e4Nx1QsOHMgTNw2ltQ/KTsF62lLGtaQg2812MPf1qFP4mVOa4 KU/CXZyXPfyHlyXi+zAB34eH8H244cEFp+E3RGDTGC7ZspkKwYl8CkfMUb7K lTC2gNZzitqaSH23Jqjsc3jwVZkBRYraepcFx2D6ZoqT6wEE3nR8jpBG98yX TSst5sXG4ZL9jtjhPAQaCwSDJwUQiMH5Hc8//A7CsmS7XzPguFGmnkX+EOyp WoDC3f3w9kkc382QcTD2PfzD9WM/OEWpljU4dcOFQIL9n5cInLd1u3W+ggED SjoHTBVGQWnnFxH+QgQgWmr9yhgG7AftP03TI/CV/du0DREB7rueJV6j4yB4 PDvjudDIojxxmUn2lqedQ1BTVpJxwqYGKo1KqNQPjbA2/3HFjrvDMHW22oW8 sw4OHSQbDkcSwE198uHY2AiMuUW4305oBf0THT8pV1vAco7LxlJiBC5m5akm fKBCTnwi92gJFfzXJunHGCMwb6y0Mus7DYoyBHwOL0V5DM5DOQpZPNQD56FG OF+zwfmaNc7XKk4dXGnnTIJBr2i+dK1mEIx8dVAoAfUnozZDZ2sTlEjaqU65 k8Bujdea5HQGfBlbzYi9OQ7T0y82/upD+/XeciPbFgaM/PnMTZamQWhE7wrB ggYIOs3F/UeMBIkn65m4tukoEz8fzMPESzj5TsUFo/U+ndt4y6AJTJDnUcaP SbBnqW/ydwM6SAzd4xhqRusrpPpi8k8yNMTxL31Fo8HHNsqm6nYCdJT0O35Y RwbtJTVM/htouaYA47+Vm6eZ/DdEUGUjtq8u/fwiB9tX7xVvZu6rUy+OBF6R IYI4p7fkYBQFfuQ+3ZOusDje2bbqnbdfE/Bmfa41wN7zwpqDTNG9sfjnskIM f7EksQbDm/cdZeLaaeXI878k+K1Ckvsj2QJO+42jbr5AIDR/VWa7ELo/X1u4 u5BEBVnz3xJCXgg8lDW59KWcBJoepT9uVDeDgY+4l98zBNxbrhkSLxNg2E/5 XWsTGY5u3qtZM4/GH5evx+VP4fIVVL4nI9WtYLlJsfpHaw/cmDwn7xMyARSc vzzG+YsCzl90cf5yC+cvP3H+8p/7jTD8fuMAfr9x9SrXkW7LUah5cm+jqHw7 fBt6fU76citMBNlSA6+NQCE5S6lPtAU+H2thfxTRDOH4vYchfu/Bj997uLLp nPT7SoP5n/reL4SIEDw/pfNdjrzovEiJ/rq2M3sYuH5Vit7/iPI7Rx45MoMA VVejmXliFzDIzJPqgBlmnghuIXFgeXKx9+UGLE/GHPdcxPLkL6887eQeGoSf dxnl4moEwSY72S1KJMjTsnniakUDvoWGrU1PGsHiYLtU57nFcb28e5OYnt9b rAS5UT01VrO7MT2L3aclxfR7YTzCAQKJTB5Rs5rJI+6HciUHf6iHFbSUGOGq BojWOGHy/M84HMLvu6rw+y4Ev+/aZHZH8C1vC3wIDBXQVOuCy5uOvnisNQGx UreIyWifSJ1bqLbq6wIld4cjjeYTcAq/7yrD77se4/dd5jhfuPsPX5DE+UIn zhcO/sMXluF84RnOF7hUx7KcCkegJGFS81lfC5iwN2mFcrfA5JpI8w75cUhS X66r/rIPMg4fsBhX6oLDeH8+hfdndbw/J+L3YCvwe7BB/B7sK67nFa7nLa5H /czejQSRYdhuF855Tv8zaB3Sjuc3bwIPvH/O4P3TDO+fp/D+6YL3z1d4/9xW PXMijUyDyvSI1uzbBNAIVc8ZYCPD+aBT25EbNMiuy5lavqcJdqs+7Ci5j/Ku 8SFzTP5F7flOTH5M2y8Xk4//Qk/FeGUoD7kP45Ve+gmpGK8MDysAjFc+DdgT i/FK4jERJq+8EtQ/+zSJAMtPjxfcX0D3obtNbFHL0f0ZxwVxPAPHV65fuBAa SgSP3aNV2nMUeC9uFQooH+xRndr7NJYAr58/F/7+nQz92rc+U5chcFNdgtlX 6/x+Mfuq/4lKZl/NrOWUw/x6TYicwfyq4aJ2YX4tnFmic9iXBi9pknyu65rA sUYtjBhGgqt4/xnD+48m3n9ozy/83iLUCHPXX6wpu0+Aga0zAvYWDPiE9x/r f/qPDJ63H//JW45nq2OEZ3pBabdqoMOuYbD1jx4/unsStsyXfBOid8JWwa8r FfsHgHYzk3pRYBIGcL4ggvOFDJwvOOgpqsrsH4Ufm6XWNn5sA8fLG7u3bG+F uhQV2u1qOux2d7RKuUYBY1FxSYVZCrwTS7NZKkmEW0O/lcVDKaDtJZYmuxOB 4Ry431xDhATCcPQJNSpoiW+nFVghMGg6InKvkwjIX4EgAyMqqFyyub7mLMor bRz3VBKIEJRiglQepkLcg0Or+60Xx/X6tv+JMqEABKQX8G9qAz1rHmmjfgTo OL/4ivMLU5xf2ON+TeJ+2eN+vct1uHDm9Tjk3H/3hk96AJ5MOLuc+db9v3nH cZx3NOK8wwfv2014357B+3YT/l7w0pb1XrBAZ70XCATepC1No8GBQp8Ex09N IK2qGOBUSVr0u0UtOTFlVWOg4RJw/FhID0je6Pq4srwDIk6tjPd4OgK958/W VES3wLwpu1tKWzPoprY9DMqnw3h3W8+9QxSYDJaLXttCWfS7tQ+71Va+JABP ZuSwgBAFciGWzrcC3YdtZsyC0fPKaVzqyoGeF49S852n6Hkl4v0wF++Hyng/ 5MX7VS3er07h/aql4etHbTT/Qx6FvApG838PWau7Fc1/wPuMCt5n9PE+0xC3 +4G8xzCUI+s2TXXXwtBwH6exBQG8jvfxtHHSgbdXYH1QHBHkr+7X/GtGhlXW 34bmrzTD2ROt6uonO8Fxtj5mj+IEWK95npp4igp+KZtfNue1gy23eHc49wSQ iYxAC4khSFHyNlizYRQOKh4UD9SfBBV65a3ZG11AXV4QtrB3EHxjPBOUV07C GrxeJP+plyWn9ZSvV/RDxTpSelE2DZrabtnnoHqos/uv/6WPgXnrvOWUei9M qW47Ka7aCUqnskrGZRGI4m390KdBg0+HilfVOQ5A+d2YPxNHGGB1/l1oxZNB yE0UnXr/oxc0eh0O+omOgM3Qfm/TFCpIZwxf+5BNhUF8z/fH9/wP+J7Pge/D b/B9uADfh0XxfbgL34d34fvw1vK01EikEX4Fpnt6K5PgoEB6lEEcAwgVz55h uEx4zVUMPyqlGI3hcedX9GwmNwH5i7XtCZSvzddnFhZTGbDKR2b17lF0j830 Fm85QIZGsfsnlnYyYO8dPqb86xZLpnx7aQZT3to9/pObFQkSSkPp6+SbYUK+ /FJ4HAKav00COn/TILpu33iSJhHKFepKuFF9Rm9U9WIIw2Cy89DfLJN6eJMW vS5ElwhLZx7R5NuHQd+4q/2mXz18tGS06tgRISb675OjLsPwKqNd7n5tLZTu zsjfqkeAG7GaHNh7TYCNiBT2XtNJEV+Ovde82LuJjvFZ50cfpTE+615YcAvj sx8LHjDtdHkawrSTJsyyU87ZlGnnCI86086bcvVMO5XzlXsyG4bgEHeGkpZU Ddju0zpRGNcIPucVKs8q0KG5dbmfxAUSvE3u+PEtnww5OQb8brNESNRN+b7d nQqfT5x71OSIgKxeeqU9kYjuvYEf3I5QgfhiMxf/GQTsE9WYcfCePsKMQ5JQ LDMOxoa/12D7G0dasTC2v1n7OW/D9re3O4yZcRCY5d+OxeHiwfY3WBxyqiY7 jk2OQbPlgkMeygMDazx4s2UQQJYw9m5KRUDEOrW77/QI6F/lzN4IKM878e75 kSoETo5yE6L3MTD+cKDVf2TR/8+VZ97rEYrO7/TeJ/J/0T3t/aczKnPonhaL v3sewd89DfB3zzD83fMN/u75HH/3NKlmvWv4pLLeNfbi7xor8XclX/xd6QL+ rkSY1+q/7DMI7e8FW9jiR+ADLSVttf0k3Cm8e0Sndww0215JFKK86wO/25Wz 8giQdl6SCkTtOiX8Xlb20TAI8ZyMEOjoB+MPNKhZQ4Mfl8QvO4c1wN2sa3fv 8JJAhUvpsVoiFSI/dh6RX9EBjI5Cu64V6Jy9FWdu/ZYMPygKo++UWqH8l8iS wFoE/i4bYb6jqRH/MN/RRs7vYL6jfTd45oq9E3XZXv+JvROtWSbAfCdawX+4 dJUUEUjh18INwtE9RHHXaDE6N5tefHoR5kyEMUOpRN9uCrRclvlgegSBrrzj 19aXkGDGt9K2uLQZvt+brUhKQ+CCt3wabxERpt3NjkRvQ3lQYqKq/UkESs/9 XbdfjQiU/ffoXJkU0P3oOhGvgizqV9CeUAvMr51S0gzMr1wba6Zfm3cHb8Pe d0q1OPuw9537T/KSsPedpZXP3O1uUoCn9Py6tRfb4NCV8ooNIyifv2dJ10mg gJWVsmVCWBvc+H2kNngcnfuBc2duU0eh9vyqwJN9HVBC2Z561LMNGDjfeYXz nSqc71RVGb+6YDwCZk2+UaMezeDTzqGpvr0Zbr25K5azmw7bbziYi/qSQFRs eLVPORk8Lb1dL9egfGSLqu5ucwI8FtxX2jNNgoIgqqzaLB1i3tUvGUbnWpOC 28RGZyoceFn9RVeTDhRX1+CGAvS8d2wzKx0mA9Ja96CkjwbBGSn+a8oJcLsk UfWTCBlWDNAiZjnoQICdhaZRRFBtCnVfb4ruic9ES4rkRsCgP6a16juqVyW7 8WIPFUrHdtqt8qFD93Lp3VudyNCzLfZhALqvzP19Nv17PR2sL22kOG0kgVAy j+jT0MX15LwcY+rpECvbg+kZPbb10X+l58WD22+kHtJA2dCf3/lRE3ActOKW Q/17++TH1dt2NNic7KB6pboRlvvcXb/UlQQ7QweY8bEX+suMz7NPUcz4OD6+ MY3FRzxLMASLz1VqxQksPl+gLxyLw3oF8kssDo0rDFyxOAyd90vE4iaWPB2G xe1iegRgcdMLENDZ1EeCmoDmWbZvzXDivLvLryw0/9/sY4iWkuCApXe6Ulkz RGws/FWJ5rPxAynbID30e390T4iLNsO3JZOB8rEIGK2v8sbyv6HL1gLL/1dL tzDzX+8s2zFMv9J99d+Y/qmDOkz90ldV6Zj+JcrTSZh+yrJfPzH9wbcOH8X0 3+Ix3IHpFy6uu4bp/9FlyY29311yohpj73ciEwf8sfe7mz0Rrth7WfJDnWrs vayREOmLvZdtz2HdS3RqsO4lEtRZ9xJKUax7ic07WfcSnzRY9xJzFax6mSth 1ctBvF7iQsy6eNB6/9JWlPuliwINqtY6imi9Lxuy6RwNaIL9CrWDtCYSUPI6 vsyjPKgOv5+US2PdT2bi95MG+D3k8n/uIXd/0v7R0jsCCReHnD66toLvkNOK nDMtUIjf45nj93ge+D1eOb7nr8L3/AP4nk/F97rr+F63C9/r3LMd9HtzhqHP 7kptfVUd3B5pvhw6SQCpSlb9+n5m1S+jmVW/Ybms+n3vyKrfFbys+v1mxarf fkVW/X4TZtXvwshy8ZPb6KDbd4juZEyC9yL5wp8zyZCN57ksnudseJ73DqRX iK6iwfjM70I27waoFXOwOci5OF4v18t1lIcGo0tesbNrNcCO1NNPm0eJcCEv cz323dRlncPYd+vvdghh35V4OZ07/Y0GnqevF8itJ4LVFfKTTYpk2ECjX03f QIMAC1/d6rQGGG37mWYnTAJN8TUOGN/UaeX4hPHN63vOMfmmSdgkk28qTmUx +ebX1Sy+KSzBmguDyay5cEaFNRdek1hzYdaDNResvFlzwThiwpLnFA0U/14s n3vYCFL3Tn36ZUuCC/pb+q6h53XXo17gwvomeJV/ymZDOAlC41ny97c4MuVb klnyTrj8Y1y+EJf3q2D5VVbtw/RrSxbLr9X4Hn4B38Mv4Xu4oYFXHCeBDibt ciJSSRQQMY1KLeRD96w/VyLWq5KAW73PJ/IbFXRmj54QCEdAbZXxNQw/HFtg geH5PewGGD7y7m8wxh9lfxACMf4YcDZ8AOOP67u4Xkaj/DFSgSKG8UcSf9Q5 jD+6B2gFYTxU8GebBcZD141RcjEeavdXzgDjO74Uzl8Y3xl7G8vA+M5Ajpi3 P7EZ1nSUvBMa7IQ1NZIipAMTkPkgtOp3AxXOUbKUJU51QL/+2DtYPQFnyD/5 TR2pIJ+xSYejth02pq1l/8AzAaTssKrpdSOwy/yyzNd8KmzTSj6RWUiF9ziP M8B5nCzO4xbja4vxu82bN4rKWdIgQdzngeODRnhcIZpGtiGB77cjubnbaLB6 3Xr7AHIDJK9eY7EDnQMtdO0iLD9TjlQuYPnJfsW6EMvPOs2JpeyjNHCqU847 N0iAn7l/9DokyOAs9qak6AkNbsRDbmFhE8hU/Smb/0CCI01VX6Yz0f38bbsZ pb0J8ksDazjrSMD2hU1vx8EROCtCuLpsTzNs5c1b+nxpM8C2kmaJ2mEwF5IM Gd9bD5dllqSAKhHOsO+rwPSfOSNbhel/GHG+BtOvFLN/3VdUf+h7xlIqqt+8 0nEB0z8KpVLxqHxLXMHdnah8uNigEBWVH/7xWC5/hgbGkpzOCzuJQO9St5Dd Q150rk38erXyAdpPgvSupXag/cS61q1D+Ctp0TgspNjvxvRvT5h+hulvf7zP EdO/mD1cfH83Yefi0i3cjJ2Lk+dCIXYuVcjIW+xcnJo+3cbORfea6TnsXCLe SZCx+GxN3uKLxSd5yDQei8/ma8e+iKN/b6jcdsi9jAr3tM8ucbiG7ld1c4Hf TdC6DOqnG29shnZuA+9j9xFoVPfdr+9LgKl44nG+TjJ4uxBix9gX3wMXky8W 1+CVQL+7JovLB/tu8qZ7K7DvLsG/e+Gf7y52PyC2SUj3RUUTrHjh601bheZT 4M7560QGPMTn2g98rjXhc00Qn2uH8bnWjM+1fficSsfnVCA+p67i8+UbPl9i 8Pmib5XeIjY6BM7fxVO2J9QAUVwge3ygETjw/dMc3z+v4/tnI0dIbzHqZ0Zw velWrQ7Y6FL3Qkt0Ag7Y2sRE1pHBQv34ps2mrQCT19cSGhDo/9EnN72hH7a+ /TngNz0MCnM+hQmHJsF60nzw4tw46Lu7m54aGoDemfgFhZ89i/a9L6qSnYfU UP60VaPUVqYZGkRSU7+gvKh37Fu70U06/OiPulYUQgYvBTc/NzsKHMXfid7g 70Tn8Heirz0HmLzbJzWWybsHuB4xefdI/s7LEpojgHK6ZWf1mkHvUYTHU+Fm 4I+nDgoW0uFpr7aquBYF3il5xXu3U2C7sUWNUAodSm6IaJTOofvZbZmu19kU MMkV2/JoFR3Wea/q/cFFAh3L244RvmRYV3vkhk4aDTR5Vi65U90EnGVDDrWV aP+x2OBZEkGDvufbyJudmuCtY2Y6LR3FazNVNqJxSCMY9d9F45DrPSz0A41D V+2rK3us6HDVffXUDU4yiHZM14aspMDuGw55c0J08K0K3jfyDeXzla4tGe5k aJfdshmzR7OnoBOzp7nT2wGzJ8SmJgCzR8nxw89g1B4x63A7zJ7rqlu9MXuW nfrYg9nDY/ruOWZP0YqtnzF+vbtfrxLj18vmbbkxfl3wsob5+8bU3RuZv29c +4TC/H3jrqgF5u8bi/aM6GO/byx7Ycf8faMV/r4v98/7/pGtrPf9xu+s931l /H1fHD+XNinWudx/yDqXo/i5OPaxzkVZmXUuNr3UdUuP0uHENN/M7jy0v2yg xX0bQL+Hn1clfl5G+HlFNe/dFMNGB5kLOUFdXkR4endu9IUeGV5mRR97/YgI dwny72/wU8EJ/FQmjRBYyI9n3p9EvKxj3p94fe9j3p8kb+45be4+BsEiHvaJ FxGoE/B/vA/98z+/o7uM/44uAv8d3Tf83XYp/m7Lh7/bFjoXTQqkIuBHovn8 FEMgnuixsjR1FJq3wvROQwRsleezfo7RQCfofMXvuQEQ9x8XVohA+XjNCaRe AQF+wfMNfK2j0EMS/nLvJAn02j8WHt3aDBJ8lst+o/2H/5PcLMdvIgw1Oohm ofvvEgE+5KIjAqvsLSam9rRCilu2oih7D+SL2jrZeEzAt233jDzFmoH24iZX S2MHDNM14Kr0BESGSx5WnCDD5iayU0sI+u8U3lSsISOw5wBZSWHzKGy9TAz6 7toGvva/M47OtYDj4ZMpclYj0H3PPD7+UTNoXHMtLdFA+YrMmZshkXSQXDLf r1BMhhtdMtmagRTgrD9z0/EXDWxMyw/q7ifCCYTjAE2VDA/vj3xMy6dB/Lwb +xV+AiAyG0S4O0nwQ/0ts15+fPNh1suU519mvXDvPsOsl0jxnxNYvVyQ1GDW i7LBh41nttBBP5xxqVwT3ZtufQ7VTSGD2kzT3zPL6BBgPvWH/pIIT1btq3lz mgxcx8aZ8nSBCCdM/naibBgm3/Cdtwr7napkUbUy9jtVL+ehWOx3qk26bT3T 2uhepye18axYJ/R/IVPI2yYgR1ny+LKtFLiqIt3mM9gKM+MRsu0dKC+7f5NP J4MKQ3rNv8ylOmBD+FO+DOEJEOpofEpKJANN1+5WCX8rJHm/ner6hEBJWLZZ rDYJlv/12CO3Ao3j5/TohBiUT41s/dgXRYDSVLOUn1/IsIsrLaiJG4H6mMsz pMgxmN60cn/f9W44G2r16B1/B5yWMUo6njMKPC5NCuyGHWC8bKT2kXgbXNvP OsdfF1jn+O4s6xyTbRvaFZRG4KGfURqVsxluCj7n3T5CBducKL3fLnQgawke c9clwxyUkp8ABXSv2neFXB6B/PaD1KCeZlC7bjlQ7dgM9TcDNlo/owP3jMH6 +9wUMBPatXswD+0dvIacJ9E+9vtcVr3hFBEm3t4cPuRGBmvR9XyhnFQ4ecVi eY58O3zmVyt+PItAV7KhgS/aZ2Y02S1t0T6je+Ro3yTaZ3bKtzLjL5ksyYy/ Sw0r/pF/VzPjb2ixmhn/p+3hzPjru7D0H//N0j+/lqU/qd2Uqf/YZh6mfrHl mkz9eQ6seon0ZNWLmBirXuyNWOcYQ6cyz3FZIOscZ/E6msLriIbXUQxeR9v/ qaMtUys+7tpPh5set2aj7pFguiBz5j2BDLparDqqe8Kqo6JgVh2dEGHVUVH5 X2Yd1bxl1RHpPOu8Vt1hnZevKOu8erqimee1KUKEeV4LbWXM89o1zjovQ08N 5nlRfE4xz+vVtFC73AwdEP54LXM5KiQQln/SPY/9P9PVJ3ai9RXUvazhHFpf Vw/sFPVG6+vPJZZ8m1wcU547h5cp/31CnClv/mkdU767WJUpf+H9NWY+3Dlp wswHoRIVZj5sndNh5sM1tTBmPuzq8Gbmw6GD6wzGPYfhVx05U2K4FrS38K+Y OU2AIoekSnEVGjTqX/VE2BrBbyoYuaFAAtFj/cWNMgQw//tW8egNMoR6vy9r HWeAWk7pjQ0aBHAZrM6xSiZDbbdeQsxXBti6qK3+yt8Akre/Hf3u3AgP7ncS koUZkF82HDFAG4ERuwMC8ei+JaYZlGByaAIOBXWomWQPgnW7JcXi4wi8aeG+ S7CehEYt8eFEMTpwxVy2lRZA56iJ0oWxa2SwX+tGfNBDg6Ftc04qRQS4PNDw ZXgFGdJfKLidD6bBBYbA0mL9JtBdI8a14jEJsrQvv0wyI0LI0MGNAlUUSCmJ 5GhUR/fJ6AeC1/40QuOWXXH2R0jQOGbnlfWQAWGio1dTeMjQ2vXnHIcyWhcZ QNR+hYCcf1xVyRgV7hjbv/h6pwM0Jm1rctZPgOLJ8p4eRisoltce3LyiFx6O 1ZmJR01A49VQ62NovklFNinOofmWkBWl+gvNt/snud/wZKP7SHly7t8tHZAp n5e5S2QCVCZ5NhtmUuBx4fa8PaltcFVnenklgoB8zYx+ai4JYgWMucczmuG0 oMOSqykIRIZktSTLkWCfq2oZRwcVNgT68u6/vThu6yTw+5A9mk86KvYDFe3A n8e1WQrlj0ffVDdnhlGAe8fuD5HebaB5VmZ5xigCGrlcl9+UkUFWJKSv7nAr RETV/VSoR4BK4FbfsLwd5LJa6LTyPjBZISTbVDwB+n4mB5clt4FylANf5Po+ uKMjJhP/fAIqDB4GHf3aAsOPRSqkErrBtfCgApfjBDzwZsXnRzQrPkbZrPjs bJfJX0+lg9mXiySnVxR4Ps2ZQhGjQvabS0KVj0hQVvYyKSAC5QU7xDl+JCNw D1ny0SWeAqujKEoGoW2gekt+jz26RxXl1jH7/+ogG2b/py28YfZ/7RDWOWrZ sc5x1xfWOSo5C39YLYbmZ/e5mZA0KrwVDv6yMpcKP61/LlmSTgBGz8TLS2h9 WW81JMbwL36/HbmGuC+4jgAXxcbD98hT4F61wZkwdB9x/uf/Vf3n/WIs13lV pj8Cv584zA+i/55Xo6f32+QoJK8VJPIZtYDPdcW5j2ldsL6pDxk3noC3Bb3V w99pYBp29caCFBFmvzGqVJRRHir2O8/3QA+YHrAPsts7BIZSV5Z0bJoEU96K s7ctOkGSs4Y9OWoAPv2yvyjLMwl3znIFS/K0gWDq5iHV/b1QkdPl5RU7AffX N12z1BuHK2/lREuk+uFkhJiw8MMugOwhjqxjY3Cm2io+5E4XKCuUC9O92uGC TcLyh9qjkJSw+XUg0gaJcTqfDTVbgX8Hnb1OvxW0PoRIs0n1wFNb93tPrk7A KiHXAuFzLVB7+IqnQ3kXnD0Wk1hmOgEvX2bEl72ngooAuWHroQ6gDx1Ueb1q AobOZJb6XhqD4/XEt3/YukE4wIWYVd4OnkG7PMMsRuFI5miZlWw7yOj9HTxy qRWu787WL0wZgZ1aKT+OxLVA55NcrjOdzbBwR1GqbYQG3MXcywoHCLBqZeaO FJR378yjMe2U52TZaW3IsjNYZMa6+w8VjAojz1U964CAXmGnWxsmgGpxheEY Q4GTGaZJZYFtkP4w6ljmGAKXZL4y5Z/U32XKz2mz5J07cz1qXjdDnt7+Z01v O0F4tKsSVCdg9bFvQ/eVR+C4KiJG4WmGga7915THqWBsNtr1AM1/465aV2m0 j8+Kfljas5oKlh5Zzn+86cD/gBZJuESGyqUrt2iZoHztDSuej1U8mPE8YcuK J/ftHOZ3z+ioMr97ooD13cNnJYrbXeqh/o94OodEA7y5mHvxysg4BLUkTmN7 7/JLAsXY3muhf5+59555Gzw0xUaCs1E7fIV8qXBgv+SWFicEOizMP/z9ToJ6 p0t+DJEWYE+MT92Ti4BsfJD1FSU6uNl2xN69TIK7wr8+eKBzdV3CNjmzdzSY M77sVrmeANLKiuTfvShfo0W8xfiXwr4v2hj/8umV6MT419k6nyGuYRqcvznQ TCcTYPvDeunba9B9MYC764Q4HdSaf7q+lyKB48X0fMcwMnzt29GB4QnJho4Y fv1s4msMt9TT78f0bFMo/ozpSfkdsgHTU4TPo1F8Honi82gxHpT7K1ka+91v QcXbLOx3v6YNEzXY737HVpkpLRMmwdo9hlHnk6kw/71m1XavxXHVv4b1Rqkk cC0VTLSOb4asJjufySfoPnb+/IVHHgS48/qz9wKVDO7qXYGn2BAoDGXtqzfn WPuqPb6vfvkwvYwP3T93a6tUchh0wPQCtYcd3T898N/jrf7F+j1eJP57PA1z zoVCYRqYXAuSkr3cAGpsTwWF2Ukgk8vNxCUMYpj4nNczJm6fqdNRI0KHfReb jc6j5++fZrs52osM9WJ94/wFNFCZqti0XZAAzvv2mMR1Ln7fFZ4fM4/xgu8H PJaMoLzAUJr+GeMFW8tXH9omS4I6JGdrOJEKQSsDZJsCERicdxCarSeB9f2t G542o/OuT9n4dzraP6fV05fMEuHz8tHMQjcqiJvWeb5C+deGhpNM+brtK5jy C16KTPkA29z9MxMkOKp+L9SUpwV2vI/ctyMHgQN4/D3/iX/Kw5PMfA41cGbm c3AdK59v4XoMcD1yuB4V9pHitp1o3gq1HdxuR4IhBlfVp7dkmHrFyv8L71n5 H63Nyn+RATpTvjGplSlPSGfJ5/wvwr48Hurv+78sWVJZ25BKIlS0kFLHXops UbaIkoqkXSRUpEUhkaiUoiilhApZs868ZsZOi2XGNhJSUvjd+5rX55/349H3 9++Z8zj3vO7rzDnPs9z7CjMl91nClSD3mV/Dhdxnhf70ptbFHDg+S+zNdS20 fhnH4mQsA7ZoppL0WeJ/sjD92rFWki5XxCbfi2TkJ/K9PFXWI9+LfNKdoWUs Nhh+vqw+cYUGTOk3Qv18DPigYiisiug7oixDMf3349wlmF6v4ULa4a5lRaQd vmc0kXa43ODYghIRlKfUnQnqzKHDG42nnu9c0boZa/s8UL55KWwiUBPlm1bq rw99Qvlm3/yoN7FcNhxN6bp5YIQG3+X9dCaXMGDd8shvy5CdZOzM2DLPjgYn btQNBg8S0JmbpOxkhuxW8chtRedqeDEs+mD7dgKeDGsLbCxig0FYqQ7LmAbz Dn0JBC4BazolgSFGwBdbwV8W0SzQBe1Z1se48HVqk0PbBA34rz7x7/JAuKbo 6nT5pSiPS5PRw/w716r9xvzBkSUk/9lTBgcTgQDN62MKepMseKg87e2s61y4 /sOWpFuMKi7E9NXV4iSdaWJrfAn5SQORyKXayE++978d9wv5SeZvHr1vdhRJ t7vFo+8/ytufm6y/5P4MpLwi96ekJ4Hcn28npGPw/iy5HUbuTy//s6V4H9jJ fjF4H55IFt/H+3AyIEoQ78PKpW6A90H2bUYQ3geFaMV3B/trYPdnB4HdRijf dRMN9G3pg1VTTxylD3PB+obS64AfPZDcNcDSo7P/WT//H78Vxf+Q4p/aps2t 3dcBVy71/1UKKIGL3vckmy9UwdiOd97DKG+YmO/v2v+OAcHTS2lqY32Q5PV0 Az5n6loTth6fM51iOIU8ZyouqDd1x2yUjx3QDbmYwoK7XpmZ509zIcrX8NqH jQR8893evPUPC+bQuNunR3CBr37esZlnCBAtH1DOcagFIc8r/UO3ubAmdrXk SjUC6lTybOpZLHjyaL1H13kunKlJl9y9AfmtZu2nOj9Z4NHS05d3Fb1Hwd/j 2cjOVoa92LXpNQMu7ltntGq0D7bbdyVoedPAL3Nz8JJqBrzccuOZ3UQfONHt Kl2bCLD2mLPUurcW9hboqMuncuF4UHdaWxYDVoSbSIdo1cPY37w7beVc2Fz7 bLlEFQNsf06/4WVXD/KsT9eEqrnweM4resn3Dvgd1jFb8X0ZWMyea6L6uxoc fJhbvgZz4O7ShPC3KD7ttTA2fYrslC26+fkaFeRvkwq0C0wJCMlJ3iT/EL3P VdG5ES0o32HutKp8ToO279y56jMZ0PN8xvwZPWzoSgmY9Y5DA7uYzWf1FjLg JpuVNcTHgctmp/v7w+hQLC4o/smKAZ6F09/86KLDMa6Q8qXdLIDNH7wK93Gh re2aJD4vkNU/VRSfF3g4fpg8L1BQtFkEv68tcWbR+H2pSstk4/c1zC371CtC QOHJ2cFLr7Ggf9now/e+yK9yJtT1p7GhVfi+SvD6KhA6wDH58JUOVyOv+iyZ woF4z6a0j8fosNXp1tN8lDd/lhqQUatkw0ya76ZXHjSojX8c8uUnAdoLk+Qw /fyr1Q6Y3qx57wqmh6gU0utlCIg4tums/2MW1Ppu2oHvr9NYI9731JkAufDO 1OGVtXB0LP3H2xguBIlqqKQg/a++WrVKK5UFSs7Jsi8Rvz9lJ/v/Yydzqxx2 zUJxb3Byj9UOhHOu9NXu4CCcQ++8oWGM/OJw0PL3XOU6cPFQqtF4zv2nnWzv 4PFnBPL4l1L82lfu3H9o2whhw6YaN+d+hY64uh9fShCetxe866rNgRu6mq46 QQSo/Zq6aXUJigsiPHtgJvDsoS6LZw8vMh50Jc1ig2nWCWLPnirIKqiIavtN B38XnhwrK56cUn4+Us5yiQA13QTkP78YhJuk1sAuG0f1Hbko/jgKkvYjqORA 2s+wty5pP8n5nvt9EE6z0QtXXylPg5AMxxG5LwQU9c6J2T7GBt0896QvpnTo ZA13CQAD6FRfI53qayz+//Q1XKg5ycD/zEl+Orn35IsFLLglzVkibtcI02LP hZ2b4P6zf/GvecV/9TX+Nc/ZG5QbIRhNh7+iRae3CbBgx9GQPTe2c2Gyjud/ BCj/M43yP//S88DFfDP5vCp4vEdpvWp7DZSEVHscM+iDvdw50W2THGBbjjxb bskCTuLi9cf9WGBP0fMoOo2in9n87qmEEgFzOGvEGsvQ/7TF6+KNIISLtrse WHoE5fVvBu5XbauF71UyEmfQ/9Rt/9yiqoPo/6usVvDWsBZKHA+6PY9F/kd2 5SLVqRxoW/KQX8GfDjPevXP6bc6AnTX345ZPIpxWJj21xYsOxy9ZOCebMuDr 403nT9Sz4auZuk3KbRrCG+lbdwoxoJtaV59ad5Bat9eOt27XTN661va8dQup dZOVeOuaUusepvHWdaTx1q27zFu3NvuRVbE98tsK9SUSqrWQXpVzYCn6/xp9 T1qjhv6/iTkVxArkf+6FMw56o/+vsNhRWguKp+sXu/SdBjpY8sfZtG5A+F/A UUIE+Y2bs09qL0V+4+JS+28vkd+Qmrtuovh8J2x98WUwXL4Cqspmhkudp8FA eoMQs4ANUbMzZGs20MAo4qkiXw8Bp2umMl8i/zB2bzKxD/kH75kyqX3IP9Db Slqw3zPWYAZgv9d15MsD7PeM23/deN1Lh7wDn4eP7UHvVeVQYrDHv+l+3uyK tON0MF4Zeluskwna988zTEy4sDIiwJ27tQtYWvQzD5xr4brmopz58rWgWW3W wdHogppzuxtXTamFM38j/Rw7WUCf0U7W+Wcy9xvhOr/XlIVA1vnjvKfh5yoW ZMrg51p/qHQRfq7M35WB6c/ZUCZqdC77Rw2sLrApFmb+m16RcW4b7uPQ83Tf 4z7O64N82riP85qxNbv0AQv2l8jfny7fBEfd/+ovlOyH8R6gtyM9FwqcXr0E 6Rlb9/amNdLz3tOuqWoD3XDZr8LxrkEzvBw32X3jZQOkyF7Za4z8zL4bZnzB KB88HmqR1onywbf1cRuP02jgvLrB8fhqJqzbsHm0A+VZ+0Jkzd5O0EGlgy8r 9yQL1ux6qfX7EBdM/ujPyZavgQtTVe9l7idg3lX3yrcP+mDgCs9+DnWUk/ZT a82zn9VsB9JOxqJOkHby988u0k4evA1yFcxmQ53ZfhvrOTSY4mTZib+L010c 8UltHRsep/Rc9BWphoTr6+v0VxOwwO9xcgXyv4pbn4XILqyB6l6d4PPL+iB5 z4uGcCEC9t477zn3EgvihdzEjhzhQrDJu4X7tnSBuXv2zogdtSDJVdeInVML 8Y4dyaI7uoEuYSUdL9MI7h7Lbhq51P9zP58ZJQYOd7Pgo8nYaEloE5x88JI/ Qq4fLgzaZBHoveSKH10ph97L7rMqnYvQe+mw3SisEFgHMZOCvco9LbBkxczo 4l39cG+fW7FHPcrnRTnCrINNsOfD+Z3V8/pBZdAhXNSoCyY65y/lGtVCSlzA +bkza2HF50T60RME5Lb6iny0qYXz2eeSDJE/FLtVdVd3CR1O9PxmxUYwISN2 3MZSgwsnKbyk+R+89M5e/zLGewLzelkY753S22KO8V4kVTfzoupmUVTd7F/2 vyI2dsepsyiu7Ydn2So1MLT8tOn8GwQwLE7JifaxoaJTV+/3Nxpcfy0U2LuY AcUJ8uJhz9gQe2SD4K+BGnD4EhN/jiD+WfcWXDcyD8sx+FO/FssJck87g+WM fZ0yG8spkkmWx3LW7vd7gOXkWrde01lDgNOhheZiXSz4uqXKoeESF+QPHIjA dG0ts+2Yvsd2riOmi21QK8F4DBaJaGE8Jn3uzhGMx4Ip/2BO+Qcdyj8YZgzU L/7TARpDrxrku8rgyJH8nUPSNXA1lLcPVot5+/B0Dm8f/u55EzK3gw17BN7E iqL/0+men/nGcxn/tJN/2a247/P+xe0s+P5YvCoooAlOLb1Rclm2H2YuPc3X 3MVG/nffj8I2GujbLRN6tIABf/L1yHVX29Ji8Lpnt9mT6xacXLk5sJMNx9z1 y+tYNLi0dmy+0nwGRPcVbcT0rx9WJmH6onf2MzE9vWeHmIwtBxr9CaK9lwDD ff60MQEm2HdclxY4w4Ejmm8Mgn0YMNViz4JQWyYIdvLoLat5dD9LHj1vxzPF ZQgvb/uZ5V2vUwd9Ic8VRzK4MH33gtGKDRzgf7MsShztF1hskmXWMCBmYPGK /HI65DRrvd+9kQXLk+RjNjhzQfAtT86XiDeknNFInhxZD56cn0yenDpXnpxc 6h6hJOoeITvqHqEG6p4crf/ck5PtcS/xOcJXpwpltkaa0WGNiJVtPcJXppka PzWQfer1fp6lO7Ua+OJyH8cj+8wTJWzeF7XDukc3JKY2FsIn9yXXqukVcCug bhTz09Nq52N+Tw+jp5h/wPS2EZ4zrx2OD8Zz5h1QFYHnzP+GW59/tpsAvnPr Nvhp1sIsew23NhR/P+Rotd/NRvggn1WyXI0FTROGWRG7EO71/LJ2UQMB7oOH RQc4tSC1hvPwYwoXEluWz7qH+GdE3/6B+QuXXinE/EVFcQGhEgiPmp8YtExE 9MxO6DzBhZQ1q8h6/pLFu8h6fnaSNFnPv8KNfIzrPN16Vk9wncdx2dKTuM7z d2PSUdswAh6bebzNOVwLLm1d07h3uMC/iUd/SdFdKXrX0fucIsNqICrv3Dee QocGd8Oj2vv7oLf96MBQHco3lrxrPLiBCc2vTb8OzOfCS4UV66evQv9Tp9/9 B5C9O52mHX0cxoVWqt+xgep37KD6HbZUv0OP6neEU/2Or9SceSE1Z55NzZn3 U/U6Fape10PV6+JWnJshs4ANMm3pZqaJVcClHVI0FyfgDkVXoOgDFP21Fq8O 43WeV4d5OYdXh8n79rBs2waUr281ytw3uxrsus/E+2oT8FmwfYij0gmm0T6z m5I/gvLHK9tvXa+B34NiZB1mg/IVE1yH8dq7hKzD8MlVRrneZoP7ZfUo74Qa cDy4dOBcFgFxQxliG6UIWH/nb+2P+ywoFTv1gXWSC5ImpedXIL8hXrTR3i6M BU9Nj6pvQn5jjvYxIUM9AojLp4XvI7+d0u2ldvA6FwKPRiY6nyfgwof2Pfme KN+sPiBpi96XiMblc2dRnuPkeuvPNYlauBSd7/Qu6t/8KduyRLH8u817Z2H5 3fvXLMfyM1e23qXPQvh56aBn+m2kj2rfzR/HUd5n+pXUc7/KKVLPdaLBpJ4y Pd/J52pIDq3Dz1UdGk8+1yqqzkBQdYZUqs7wL7z6JNR7LB39z84s0MoM/oL8 /06aelcoF5Zq7feqRnj+bPr5tr3lCOfX3A35ifB8OsUfRPG3U/wjlH1+pezz E2Wfrres4k7v74VnI103dTy/gqeIpuzPny0QWTSbTv/WA0GzPowLenyGBp8C 8VW2zRDG5tkDU5FnD5MtlD3E+5L4+fKII4mfw8RiSfxs175/ePFXhHOOssdL C2nQuGdtznZpBviMeZL0xj89JF2xSYukz7M0Wy/RgOJLbspn9QQaRBpn9SsL o3xB+TRZr3B/02WJ6xWCWeVkvSKGIX879iPC7Rly6wSdaHBfUrnj0DABTX9s SLqt7jhJv/jIh6SHfhiSupzHhqc+M9fvWkWDjh2TOcNsAmx8iqoX9aN1JQKn P/5Fg1t57RtzlBggOHvu2LsSNtzYUrVU3ZIGtPZTibEDyF+0fFy/TZgDv8x2 dFg9p0Ms365zF51RnkvReyl6NEV3KovTZg6xITOMbScvTYenJey8lysYoNzm R8frflApnI3XvXw5VB+vOyaYPhvr+WSevTHWc9/NR++xnhpXVGSyA1A89U0O zd2NcIuRteSueC5UKV3YheuTyl4r/XB9Mqy8RxTXJx20dUn+ndJFJP8nDVuS P6BGsNIb2W2o8YHqVmS3RcVeb12R3SqNut5gCXKgaZtYwu0EOkRVMH4r7mLA x43hjflIH6H9u/6uWk2DBxUpXus5BLwa2kXyK75k3sH8fts+kPwT2s9aML6d byUfiPFtiUMWE+PbpJqJ9pxiJvRf6wkXrGkAekb/97HvXGBTc8sK/5lbtqTO wxpT52HNqfOwQdS9OuPUvTrC1L06h6l5ZiNqnlmRmme+QN0XdJC6L6iOui+o jppz3kLNOWtRc87/Or+p6bYhODmbBrDAVnCdLBNq7Fs9n0hygRUrnW07Wg3n t4+U/wECtDxr6y/G9YG+3iPHdwsJEOEzqbifx4I+hzPqqwK5kKP0nT8a4VWR dfxze8dYkKj38cjQtX/L8Vt3+/XlozRgRD4urmEw4LXBoFLVZB80DG74E4Xk bLt5QRDLsTs4zQvL0aPWFaLW7aXWta0lVo5cocHkp0o/GpcBUsJTSt5N48LM 1tl76u3pcLeUz/zyRyasNlKbP7yJC1Ixe5+JJTNAqavge7JsPTAX7Ni4oYwL pu9L93kc40BPgGBWwU4G/LqlFT13MxOGhf+ELvrMgd0toffG65mg9vaPVvNK FrRMFizp7GXDvFseTY4I9ybxD97NRrjXcKnMqwYmG1T6Z61+cpkGM/M1agP5 GMC5bL3zyQo2DLfbFAu0V8Hj5h1d55cSsJlat51ad5had/Wup3OOybFh5Yfm yAu3quDArrGF8jMJKF6oJyVUy4ZZIh3sqOs0uHb+soWMAAPa/cdWhfJzoCql UE7iKh3kj/W/WmDDgPpjPrr1yM4j1A1/RCM7/9N8t9ge2fmCrp8Z2cVsyK/7 IzmyjQZ6NS2t678R8NTv2wuTQTYYf5nRISBCh2kd8zRs1NBzTRyOnzoVxU2n nsUFS6pgW8unzxlMOsStcX1RSrDhDrNnUCoE5dHygxk5kwRkKAfK4/25FWH5 Du9PTaF2DN6fyPOPPuD98d247RDen026zhy8P//S/1/P+y89//W8xbUlSsqL CRBbea/y0QcWDLQHNIwi+6moW74/Fu3rjSWzxqVjWUAUN0ttRXHQZSU7mbOW AJrz21kJvSwIj5+WURjOhbnbDtwIOUmA8J9jh11ta6HpZgy/F8rv1urxJ2L6 8s8+wZju/Ou4IKYfeR17G8uxnvfm1x0kZ+3x5lQs5wOljyClTz+lj760ev4u Cw64pk29tLWegN/+pUWnR1FesLl5uYkJC7Lc9l7KjGwEtyQHrz0C/XB27Hym H7LvRVEPJtKZDSBGN8kJH+SCdx5th28UE7IeTzMpD2mAMO/TG1N7uHDmfeaU 0C8c+MhalDTewoQ55Wl3OlaxQPPdK7vImV3gGfT5V88FFlj6Pz/sj3DBz5pS PW8PBliM3bWn59fBm23nf0vmof912cqPzEQGLB3yyjOUrAdaC3vP9lL0P/W3 NlqJ3ufEb6esKuU62GqhfGX5cy6MTmr5hTtx4P2Xc8dSBBmgcbw1RVeGCeYL d42OAgcqK803zb5HQHWwVc5gPXpeEXuROb4c8NnovfW4BQMObuocmmmA9OVU +u/S5oC70Rk1uSACbs9cHLyohAHBqxyztJs6wWLfx7Sqc5WgFaJ7UtyTDnkj XTC1rhNWVWXn7jhcCYmb6gPKnOjwde3yrZh+mbWtE9PP9jrGYfrUwpQ3WM4H CdWXWI5zWrYflrN6e11qJsI5U44eHuivZYFHzTuDlRe4kMR0+hg9FeHznMYc b38W7F0TlLLCmwvTgnj7sHKqM7kPUyx5+9BWzdvP56O8/bxG7edfan8qqP1Z R+3PHVHePlzQ4+2DqR5vHxrYvH04Z8jbh5nUPqTyB64vCOkE0fIRtuW8Ckh/ MV64K4gGq/bd9I35WgPjpgqJ77QYIPKz8/D3hj7oV7gSstKcgHq9b0sU5tRC 4Gq5wc3RyH+mGMpsT60C9Vcut4ayakBM07aiRLcP7qRWb74zSoe/WUnN646w YIrLDVtzlHf4U3XdKqquW0HVdXuDreeefo3wuckMoXwxhJ8XucRUNxH/vCe2 4FHGzc1H2aAa4Bywc6waEuqW68sHE9C90lscn8suejr4C5/LPuK6MQGfy86s SKrC/Y7d/f7Hcb/Df96EFe53WC8L1cF9jccLRXbivsb+GXJKuK8RNqBg8bqC Br8LKkM8VzDhr9ydH7FzuDCZEXgOn48en9mrg89H+0aa6ODz0dtPKynhOtsL oU/6uM5WMDt+ENfZJKg5525qzpmfmnN+vSnSFNffZKdZZuL6272KybW4/taV dn24dQryrzltuj1+LHC1vkuv9OLC9wNjlX7HaRAxsLS4hcWAjYp7ba2ncOHx s1GSHjZHiaT3P3En6aWlg41Psj7BmVymeG5AB6xNNp9lvuwbmLUt+JsqifCA 1l6xAe8qYBHpppNovdNr7En6Nj67GZge8XOMpI+c55+H38uTOX0i+L2ImJnd wu/l7KeTXRuyUJzyV63smYXiM/3rd2YzAXr1zIKiChTvYloz+fbRYOvDojc2 +Ds1zRkHj1Sy4UHQ/DTmfhqIZV7dr/uLgILRrCEs56dd5SiWE3NoaBLLsTdb 4of5LzsKdWH+3eW9ZzD/ut20irpKOmx7lloeCyzYISJUV+OM/Al1/0MTdf+D P3X/Qx11X0QydV8EUPdFPKf6iXMv8fqJblQ/8X/3PERT9zyUU/c8NFL3Qhyh 7oWYsoF3L8SPn227b65hA3vMLfbaWBV4Jfyo811BQM8PZcvWwU74mum4aIRd CS/MT1XNe4pwZU/QN3zOZf5aNWH1uDLY8fIpF59zGdj9ZD/mT/pdE4L5bW2O i85H/CsWzvbG8sN2GjOx/EeRf7ux/Bl/dVzVq+gw4iP8cRjtQ+LOR35stA83 fC5E3EP4Zz5sf7MP4Z9recXji1G8uLQtOL6+lAYrxr35zVWRv7A+/yZ8NhcG Dj1sMkf/X+7qZ3Pw//fUxhm5+P+btTP6PeY3j7uvjPnPdRMFmD9N12AIz6/W L7jjjedXV7xRoOH51aMXt73Cc6HbvxxaiudC6wvaBfBcqEWAxC6sp9IV53ys 56TEoVNYzzt2ffexntfMPD9hPdP2EUKKSE+nzIMTF46wIXDv1HPTh6thuD4h rDCQgNmFrKQPCA/kXSuKNEV4QLfnR58L8ptZavazbXrYsO9SzqpPXTTY7PDE 4O5CBny64f4Xy/m28fZJLCfIhH0By9lTb6kfloToYgdM1+XXwM+jFjWHPiB7 /uwfheVPrV5qjeWvlvFowPLvbb7rXYbwg/iqKJ14MTqMp49/OKCO8p3A45cw fbad2Rim60tf+IPpOrMSq/WFCbg3xNp6L5wF9dtVQmpRfnEqru1y7iICygKX st8XsGD1ftu/79Hzgkqr4LYhOswOjc04f4AFPw558d305MKB+Ia5Tus4EJM/ xeUDyterHGqf7CxjwGKBMqb3Mg5s/p54X3E7Af4nAhXLHzGg1qbC5y/KE5U0 a5QiX9DgkUf83AKUJyp8FPHFdINn46qYnlW0eT6mHyhlTvAXsGHFjBfDJ9fR YKnEDelvXQTkGc96hOOXzYcDXTh+ZW1K18Pxy5/qo83/Tx9tRW1Cok8+G/yU ljBmadHgRMdNY2Ukp8lv1Ys0Fhs6o06LzI2ggXCgy6d4fgYYfa7bWv+SDVpZ aqm1U2nAbcz+aIzwy8B5K7JfFh90huyX3RQrI/tltE3HfRwvItzWzT9UNsKE mOimNXVbuVDiGvwa18m/vRLtw3XyAtU+e1wnj7DcpueI4tSirs2ie1CcytJT 8N2O4tSJmSXjaSYERNy1F7GYUQtXvwsrWUYhnL+oaMQB8V9fPXHbFfH75U/3 wPzHKP5r/+FfTOUFG6i8oJbKC1YKbOfSqxlQJJx/c4Z9PSin8A+aVnNRXhsr HBrCAaO48MwZEQxgHD1TIOXJhDPbK1bXHWaD2Mdl3jO41cCu/PM3EOWr0ioX pZ8+YsN0ZcN6Z3oNZB0M8/9ZSsDUM4Ek/f4JZZLueyqQpBsfse+LDWNDRj49 55V1DSTMMZ2SnkiAuMYstr4mGxYtMqn8yK2C3BWhlhP43rjex7ee2LIhVV/D 8PX5alB/GeVd6kBAWFzdwDuE85mNgy+mmdHgdsTxCD2E8wND13SzMxD+d3Ss qfxdA3bi8i/TWQTye69dNNfh+wa/O15CeW559gMtU5Tn0iVqWa97CJCKEnPo 46sDT7FpdpefckGxy1LTIo2AT0/CVfqSa4El15holITvY/Fj4/5grrrzR9wf 7H30JhP3B5mzkgmfeQzQl7yswdpaB+dF1WQfvOSCArFuah/C9TU357b2qNVB 6fWc0BiEl7bGVY16DRDATSuXCp9eB29DtvW4p3FBcnl14dXDBDxUPxPgZloL Goe5GhvjuBCrEBJnLFsDi1cOS87fR4Dhm3WTsx70gY8Eb90Mad66hdS6O+ev p6W3ov0IXpFiOoDkLD4UF5/KBSVKnwZKnzJKn3/dryKdIuK0U6wbzj2+q6ck 3QA5HxbQuorqQD+ozxPausCWmxXq6VcPzbKJt/r31sGgUnizWDgb7Hc0VuTt qoENW+Of30P411SBh4eXfuTh4ZhzPDzMus3zG6ff8/xGiD3Pb6yJmLfM6wIb grJ6vSOMa8AgZKqj120Cvgiliw44suHUCeeRV4nVUPXo53l1dwI41xRrxVs6 wVz7mtSJsEo4nLl/m4A3HZJ0evgxf+AcuybM3xXfdQbzN7TNX4Dli/621cPy 924wMcPyL56UfIHxwJTH130xHpCipyRhPFCibjhhjfx27pbPtFbktzWK3Rdj v80cKfDA+HNqUWIkxp+Lvw8cwvjzhKszWff+vODXd1z3fmZUQta9R6RKTGv2 InsMOCX1an0t8B2scay8xQW/JRdGMI5SUhHRxziqJymDIHGUbd6gGoqf42Ur YlY2s+CO05z54Re5UEXhpbP/wUubqDmTa9ScSSc1Z+JI1Q+TqPrhLqp++IDq z8ZS/dlcqj/r4nTcHfdn7/0qHw+So0GlaPMT3J8tJYby8TmyERP/8aMzaLBj VYMEPkfmc7F8C8afe8dmBGD8GVn3ZQjjz70jY+pz6+hgHKSwNHArC+wZw7/j XRFudN9z7yfKh91Wub1uGUfxWutSZ7cZos+Yuhzza48pkfzH/EdI/hGWH8kv siyA5H/fHkHyy8sc6FjmQgPrCet12nkM+G7lfTNorA/23ew4l4Dy32e5+xgK KP99kuTcaobyXykFN9L/ZOcNk/6nNXcH6X8Sb88g/c/Cq0D6H8WZF0j/47aL QfqZtzpfST/zsPUw6Wdu9sxe6o7i8uHbQ7cf5NWAhXyK1wYUl8PHLdacecuG ksqo8McId9je9D/S1Ebg86cqmP/Q0JtkzF84vOgI5k+i/MCRdJ4f+Ej5gX/1 2QU4mpJ7y+nwa7/wlEldFmSfsh1bjPDJK6ruPe8/dW91L9maJikCJDY97NZH 8kwmvjgsO8UFd9PN868cpUEi8WwljcEAt9bX+rhOtTIx6VOrI8qDlqapvKxg QmKS3rMg4EJgpIYcJxk9n4D7V4M7tfBqxYkCy/so7luOzewbokGAPExoOjCh 6nHTl8bF3H/KqVa9cEoKvb9dFt+KvRQboV/8Gi3oNxd83pmOew5z4Ho07fc+ RRac8rvao7+bBWep+6zaqPus3lL3WYVQ508rPHjnTy9Q50/TqDxRmsoTX/0v T5TY+qFZAuGNK/kScQer4KzgH27dJB1WyealKxxjw7mI+zsbxquh/qJf5aYQ Aq6IVH1ZweTADc7mutnpTJRvNf2ukmHBKktODJbz4CGfWyySM7jV3f//kuN1 5FKq8Cgb1CruRl7VocPEyjmts9Yj3GUQElaP8vLtluOebysRvm1RaSpB+0Nk xl/E9b2LG2nHcH3vV67iElzf+9e5ti1UX9iI6gufpfrCjz/3Wq0Z7wTu0mna f6Wr4Gtu7/tzyG6eyreeeZDVAbqfLu3/W1YKOb5jL145VEN3xDR5m2E2PF94 fMq7OXSw2tNbV7mSAQJip/YZyHLg2dzjoQayBJj9HgprC0V+Tt/n+qdPbKib e+GdYw4N2ifd3htKMOAuVTfu/k/deNG13vf6hix4bve2eem1RjgeO/HgG38/ /H14+tSPWSzY9W51yidohHRWwBSLv1wYpOqTO6n6pDJVn3SV2CB7cIwDcdEC UVeR/WtrZ5td8maBMoVnsik8s5TCM6s4j35GWtHh1CuzgsJ8JhwKVlj7Uhfl FxTO2UjhnBoK5/xuoHkGo7x4/7pL9iEoL/aOqb7RhfJiGQfJ+I2KNHAQ/KR6 7SwDRo75tCqiPCIsv2Y/5n8qcWoX5s/fE0ryz6f4d1P8Pyl+q4ZG/+v3q+GF 7m7DE6V0eN901zAiqA9egS3h/IsGokKPG/t2o/y9oZSYtYQLKlT/KJjqHxFU /+jnsR9qCxDeM9dpdPMTq4VHs7slNiC8N2uaT2TSNAKMvv9tVg1lAeNw0upB Hy7Iyfj2RuK64vopcoum0+GjvbfuLzUGFCrcj5TOY0PzC0dJXw0aCBA1JnZs lP8qGHXdsugE9dCZORuMy+HOVw9Ng181cOsasWm9KRt+fIhTVLashiF1xZVy WwmoFHzoivHVlsIqF4yvGp63aWN8FdlstKrqeyd4HFf8eqmtEt5Neda7MYUO ksuay4dR3iFg2h4w7woLFi6SzVrry4Uh6rm2/Oe5fqocIZ/Lw2GSfK7nMx6Q zxV7mteH2rgnlexDMfx5faiRRUfJ5x0rESKfVzLZh3zeirwk8nlN97mRz1s8 Rief13Vrp8sifg5k/I6dvjGcDm/WZ7MMrBnwRf/k0w515G+X71SriGXC4WEv 5WerEK6W7dLEz3WAdvczfi5G+cse/FynvksGSlkQILuMbTA6rxYuPf/ceh3h c0/xnxa9OgSIZbblKA4j3Pj5ImcIf0/tH/hqdp/ii2NWHDhhcvN90ye0v6uO SIuPM6DsxaOEjKUcsB3yWr7ViIBUjYLS6nsMcClYGR2D8FPcD/sMyQO14E/f 4O58B+Vry/mL+9G6acJ6M9TQuh8PFZf/QOv+MOkTP38V4a1fNcUXT9aC9uKd Ai8TuGCXvEsL9/d7bypNx/39uetGyf7+DGGDGCzfkHU6E8t/lHCZlD/KODkH y6lY9rQGy4lQsBTEcgyK3w9smYXiMXPrRNiGOpCslO9WeMGFuT9Wh/ypqwL+ 6e23ps6hQbJrVPZG0z7oOTjlR8Z0Dkzft+XWizI6nBY3GO/by4DuvLASXD+5 nDujGNdPjDfdYuH6yV4qvj+l4nsqFd8N82/tSu6nw72X+9Ki9rLAkza3c/t+ LsyjcII5hRMGKJwgJfk7Q1OGDqNP75xMCGQCU9WQsUadC23+vLmIogO8uYif dry5iExqTsOSmtNQoeY0yqhzjn3UOUdf6pxjDzV/lfif+Ssjz0MW29cSkH5x pcuuHoRzzmwIPByOvyMw48sEEPB4QfeaWVNq4cfouyGj6+h/XXDQH/fHFzi5 juD+uM77RWR//Pu6qO1YjrOwmzOWY/yl5CyWk/1R9ROWc2wORwPLiTV5PYjl nFf3oWE84K12og/jgSeXbjtiPKCw39Qen+ftlmwNxud5x9eFXcPnedcb0GUx 3qg8AqIYb4xcHfmL8Qb7831aazUd+vhk1xbos2DfPetrjru5YNNYGozjmt06 thuOa1O7YhtwXPsxO7zBxYQOjDSV562ZTJC0d41/oMMF6/vRcmkoTgmc4GR0 z64CF7qyRH4FHRJONJvtvo/iptCnNQdya+BPuRn3Uz4BR4dcL214wIbvkaOp ioU1IGF70N65kAD+2PHCMBR/3bpt6kMnqyHm7UmoRPF3IEDKXPUgyvuMfQpe NVbD7IkffzaeJGCkOGoQ29ssocYL2N709/z8he3tX/3fs8si+N6XsOHCki+m uL98ZxEtFfeXf87IN5tfjvzJCyEJxd006N18mk/2B/JfZQ+2YXqbma8Ypp/J /TsF0/81n+9Y5uk0geLvDr5p9EtydHi5jzDV02TAgeiQJ37CHPg+uXPnvQw6 pLYnF/Y6M2DFUfcz3X1sUDbnykUj/DX3xehh6SUMkE53rH37ig2DUS/2PhNB +O6tywStkQDbVdOD8FyHePkJIzzXcSlMuB7PdUyn5rhMqDmuTdQcl2fbX8nQ BOQ/u/z6Tj+pgeBgjmZ2LgF6mT9+dnNRXlaZ4vX2J/KfskvmeCn9W/9/6Wnz fMgfP1eHwRLxu+i5IsK37MbPpXb75EVcJ79wQ38jrpP7W5er4zr5zphWS2wP 0Xz+xtgeoh+nDWJ7GLRYJIbtR6sh+xC2HztrGXYesh/5Q7cLsD04iB6sxvaQ F2Sgi+1BSw69SmUC8iIe3N5axYL69asVs4K5IGip4zVdlIDm1sznh66x4NH0 04doKB5pS0xK7NFEeWeL8e4pbSwINzcNNQ3jwjdNK5GR4wS4T22PELGpBa2k wu8at7nAr20CVZsI+HXuyZXgcRaUpdQPJ0RwgXNmqLgZ+c8uw7C+M8h/ii3b m7Yf+c9/xYs46+1BWM8F5YvvYz1vDX1egvU0c6DNx/oUT584gvWR/jb3Ctbn gUuIE9b/avL2a1h/5Tkdblh/LqWnK6XnWkpPt5Lw84/NCDiplVJkObsWlkue iVmN1rXKWmKK9VT0CV2F9ZT1WXIb6/mv55oc5vlzmijPnydS/tyQ8v9DlP+X ovx/1Sudk7YorrqcyNO/fL8Omh+6x81+i+LF6MvSCHUOOK5mJ7rYo7z55Jba +HQGxF03InHRGrObJC46bVpI4iJXhXeHL7uwYXIgVzQ1vRq+68S9m+pJgB+L n/UJ5a3m7pPfRxfQoNxcuvvFF4Rbdzd6Y36JjhlCmF/B0/Mt5gdjV5J/2oPA IcyfrnqD5G/S+1aO+1/9r5e/x/2vPG/HVNz/Su3+SOKflt7jJP7hxs4h8Q9D lrv8xA062PO3yUVNZUHXokjlT+ZcEF7+LcgukQ4SSsPm+gjnLpguH7THCuGB /3yPuJGqt5z83lC6pagblA4M1JfKcWHXqp4ojQoUv74KFGH/ee+aWSz2n1EW QTex/9wkeUDp/F8anJgn6O2+lwmz9l+6cEqJC0efho/npXQg/EKz3XutFLSI X8Z+a6vB4pP82SBZOnx7FC1jeZEJu8UT8vuXc0HrQrX5DEE6rLZxkzrpjfZ5 25Pj1cpITqq2waKtNBjoktr/+TEDcn9nmhb9QDj2hug5rwAatLQeCzJvZcD8 ltu9Z/m40NS2L+WWLBvyz71+NRRVBYEnTpWOiBGgbRJB0u8MO77GdLWbz0i6 2CYHea0NKP/23VTUOcIC5vc781KvInv4Irml7icdopzOh9gdZsG5tca7GQdQ nih9wCIcxZ342bbnPFDc+fM6/4MRijvxR6cMMLwIyCmc7vrRpBZSzw25/YlF OFxO2BDLqeJTOYvlTCvudPq/5Lyg5gC1qDlAR2oOkG5Z88ekjQ3bLiY8DSqj wWnZrin1Mox/nscfua7PxH5YJv+3I/bDm99H/MF+WPTLqty5KH6V9Yo7RH+o gRUXUrJWoPjVfFyDnPMp6Com53w4My+Qcz7NBifI+vzTPefI+jw7SpKsz4ez 7Mk5n/y66D94zkfMwJOc84kJekfWt6dZPCTr2/F/88j69pTnSYaTHWxYcUdF 5yODBtl7b3HPzGOAu5WT05M9dLgzP8iumc4Educvwdn6XJid2n718gk2fDbL mPJJqAYGrrdM+l8k/nk/4d3SW8Eum9H/oidd8NSWagi9rj/v/mYCZqybt6MO 5V8+vSetRAqYsCNjRnwxyr+k90QrX0R5u5Gk0kV+DhPkl8ZJlptw4eXqXStA lAZml10MJ90YwD05XmDZ0Qd7DI1i+LRpsLBKaVFEFANmyMR+DB/o+2f9Qe/k yMgmJGdn1CkhLEeVL+4FlhO7saERyylhfffEcprvizZjOUcqGwKxnsIZXwOx nvdicx9hPWdRegKlpyylZ4i7vOPgYTaMp/kuCeFWA8xnZCUHEFB2b2+6biCy c+3V1T1qNXCoRubVYpSva7qsy3PhdMIdQf1jdm8qQfl6UqvVFTpIixRqivzu BAO7Ur3X/FUg9Elt8Y48OjwJ3maK5dffiGwORvKlad8TsfwqSn4GJd/3/yN/ k1aMDJb/6tCfqldI/qulz+ttkPx9l8t99JHdlqmdCTm4gA4nbPJvMFG8Prhd CX7LsEHPJS8tzb8KTiWnN/gIEv/k/9e8jd20WYdsjFF8ltz/ffP0WphdkP1d DuFVWcU9ezF9o+JODqavSckdwPRyal7l2n/mVY4l5YXlK3BAT2rLMmc1AlRk Cxye3GCAw7K/RzrOMqEpsc2Q4d4AB0MTLOI5XDjx837OuhKURziMCY74MSFJ R+yq/S8m6C6X8DMgqmHauxg+TxkC9N0OX7h5rQ++b3slnFFUDesdzGL+oPzy Zp9z+JfwPqBXPr5CVHcCvK884WpWCb6aEmwW8r9z7+tGYvpn56GrmL6gUPgH pmsU+d70c++ESqmzIumx5RB/vZZ+RZ0GddQ8ybL/zJMYV4nxHUZxZPHon7fj KI4kHhkL34PiiNHr668UbnTCczGdtFLLCrA4ZOapmUyDPOsZXgsDO0E0y9Vp 2bQKuPZzzrJfx2iwQELV7kVvDbRU5guc1mfA1UOzqzKb++DRssy536trQLei 2KB1EQNGJ/iUo5l9cKzm1kvCuRPeRfEfWhtUDjNV4zT3yNNgO/Wd07vUd06V qO+c/ut7Xv/6blSHhTR5b8zme4nkvTEHb1WR98a4NS4m+yymMVPtcZ9l/5s+ W9xnUf7iqYH7LPJy6sq4z9KUlEX2WZIPh7d38yM8vqJvyj7VOihcbKLm85wL d/YOnC24TIBa+eXTn47VwrOLp3q8Ub6Z33rFozOcBlHZ5ekJvQi/jgy5qk3j gm183VZcb998TUoG19vPzfpJ1ttrlkSQcWf923Qy7tC35JBxZ5HOK7LeLr91 Hllvb6iXIOvtCVxf/eEpbPjqLj7f6VkPbBiL2hQh+A3ei/g8v8hpA/MSPcaL MQ5cqiJ0I92/wZplOcRXza/AchoIEpvGhjRubOOAwTdo+GsvtE+EA3vO0EZu hfWC1vpfgws/98Plt4K3Iko7QWTyUcKugB44TgQvw9990HAxEnVHcWxDTmVU 6vIusCZYbroyHXBOskrFhcUFD39n51vru6FfOPpmz0QHrDhfJdeL8MSs+GXi BoMcKA+3KfnwtR1CuX3v539kQ8pw6a1JexrMmx8SWzKE4mVAo0MIPwFu0m+S Lp1jQadab77uYZTfUfdPLv/P/ZOu1P2TNtT9k13U/ZMmEiPLC9Fzzp4wYkbr VkGzYf7WOe10qD1/3QDTE1UzlG8i+tSdP4IxXeNxsXDfThocyhW8fiGLAbbR f+eHjvZB99GV60m6T1gxpl/V9FfBdNWEXk3cB2+sixTBffCT+5/l4D54FxWX X1BxOY6Ky9J+K8l+LkvBi+zn/j3lSPZzDUfzyX6u9sfqFNzPTVa9TfZzn0u9 FBAoYMO1RQJip9bR4NiwlxzuLzu7EIW4TpWU0++N61SSywxf4jpVwolGsj/O JyNF9scHDliS/fHUS5/J/ri/WDzZH5eR9Cb747Hb2J8WbaHD/tt7a96+ZkLi wBd/+fXID1D1yStUffIIVZ/83/ejxanvRztR34/up76bMI/6boI19d2E/91z uJe659CMuufwpOB1sn/qoFljgPunzelHyf7plkOJp009EH1JZeW98mpYF7zn 7XRfAnwnl7uYnuXAmLxQAfgzgM/zmHiqExNy76aHG67gwEldfe45FwLsC9ZZ 2bxA+V35YSn5ORyoOFSb4ILwHPuqgVDDWQZM1J0Jj0P+XE68Z98c5M8Vqt0z sT+PeN15j/ODBv2N78AcyXWZjD7lrsgFzfS1h6tv0cDN9cW49SgDlMc2RLwU 4YKjbzYpZ0PjAQ8sR419gZRjGVFKymF8iCfljJ29Qso5aHXAG8txMGz4i+V4 LRcg5ai+FBhrQnnERZFPRT4uTLCe8StbE+URSx7JfnbcUIPiY9RqzTCUD396 +435tA9u2nV6aIjXwFOLp3k2KB8ZM47aKnKvD9L/8z2LYOp7FknUPZaXqHss P1L3WL7tzHvR/KQX/DYM9XHbuXB77vru0Wd9sJX6bvg66rvhztR3w//3/QsH 6vsX66nvX/z3vsqZ1H2VlkZqD3JwH1x+9uQoir/1KnsW6aL4q3f+oezqLWz4 mb5Xv3NbNSy+/Trx3RYCMoKCJUcXonjt0CKi/6QKeisrrNWkCaiZ2EK+94qZ nuR7X7LlOfnepzbeJN/7m9a+Pvzeo9kC5HtnEVvJ9/7cxIZ871nyP6bh9+4Q pMhlH0Q4OfDLjbyWahiePtVF5xQBqzZad2D613grL0yn3dOwwfSZkgoWOH5N 6hiOn0Lxa4asagWOX0+o+KVHxa/fVPwymy6sMVOWgL6UFeM3XiJ7MN15a64/ F34tO/hMZB0BwUGXfZYOsGDIapEX9zLKiym/zab89nrKbxdRfnvHf/327qVR xpV94Mkpyzg90gHrO6pNXu/5Cu9Tcq2j+fH3vCP7jUfb4NfDY27HpD4j3MXz zwaUf7an/LM2JecwJWcTJSefknOLkjNJyTFs5zP98ZcNy3axLrY70cErYQar 0ogBuqeUKvq62RA/6TSowaHBD/03TVILGWCWEndK7DMbngdf0FyQS4PYz89i QiQYcOihrws+x/rJl98Cn2ONWMxux+dYy/qCNk4cYYOHyRIlvpFq+KmS98f9 HAELUh/pVh5nw/xNEe8KBGrg+lYPmzMXCAjVEvsx1YoNbXIvFDyPVMMZR6L6 0g4Uv1+q5tSiPNrC6jtf67NquFvhYLQP5dHXv5Vvwfrrqq6+gPWX2nCdifUH zWmk/jvtW75j/YUcr5L6z+FbTeovueDLSqz/+2dKpP47NbmHcBw/OhaYieO4 bulBNxzH51N12kmqTltL1Wlf7LhkILmRDl0ZqfvHUpkgdbfIfK42F0TlTpN1 4FIlY7IOPMtXnKwDfy7SJ+dDWtZHkfMh26pXkPMhExPT1+K+rfyau1dx31bL /5Qv7tvOpeYx0v4zjyE/Y2rGd/5mKGqKfPHKqQ2YzW7XGALfQGfdgoCyuw2g +8X1Qbr8FxD3mjjw6kk/bNr4oRTXS1XOpqvhemmCJOcyrpd6yh/u/T2TDunR OyymnmaCbeHb5SGqXEhPzpIsb6HB5Scb1ibqM4H2ZElMmBwXouuFPxY/okHr Yv6rOsIobwr8kv1xBheK7ug5aaF93Fdh/atdjgluBzcpzpFCcac+cgpHhQ4y M3uyr0QzodvRc+UtTS70HGvKMqKh/awqurnRkAW9YaqsPKTPVgqXalG49CGF S00pXFpE4VInCpcWUbhUgcKl8RQu/Vc+6FqrFPbVmQ0q9Xddix5Vw+uG1dIf 9xGw+7v7eQbKi3O/HDocWVwDOcZ+5kuLEG5bqyRcMp0O4ynJcnHHmZDMflyU tIwLGwV/dy1zpQP7LQwa0JA/F2iweqbHhU6n6Isz2RxQLXr8s2WACYLWWjk/ NrEgeV9ucgOKo8v1HfT3PiHg/pIvX1d/YsA0tSmDKj6dECevYiRfXg7Pw482 tCA/GmQu3nbhIROs5C7/DU5ogJJXRa2aXC44bTT/cHRGFxTry/V0BrFAa+fI UVEUl05T81F81HxUOzUfFf5N3uKcFA0WucdvYnkx4MUjJdcGdh98Fj/XfG4a DSwSrUUFXBhwStWlZmt7HxjwrbbE/MeLPwDmbzD3Jfmz0qVbML/7jUGSf7fA JZK/x6ByYn1vJyx7ctLMpqwSmn7NP5ISQwfbFvsaemcnzNU5eqQ1oxIs7TmK i8Po0OfGT8aL7+VHJnC8eJyrRsYLBctMMl4cFH5AxovX3uVkvJi28zgZL7Qr ksl4IaKSQ8YLEVeHSbyusVz1dryutXKiL173TcAlct3k8NW+eF2t7e5L8Lrh EQ51nw0IkBrIEFKbVgvDd9621t/gQrjp5+tfXRA+ex1s9juPAfXS909kjvWB MTVf5EbNF7VT80UlZxcSFlc5ELKCbrT6JQOOOv3d6oXywJ+fb9r81ebARPGq AM8QpF/RMnpoKQMs3Z94CE/ngP3Qc6vxQjoELT8dF+jOgD9NaXQsR9VJ3RDL GZgYN8VyzNT9d2A577K9z2E5xIQCA8sZdm3fi+X4W/UZkXK6Ym9iOZuo/toT qr9WRvXXXhuffexezwSdDKucJT0NkCIcL1U4jPwPfdFfNRTP5P9M2X7Grg7G 2SucyzO5oNXKu/eyeoJ376XvGO/ey64eXh9wjQGvD7hWg9cH5M/m9QHzhL3J PqDRJl4fsD3Z2AXj+foO+TSM52dN7ijEeD7PPGwU1+3dv6gfw3X72VdhHq7b 9y5ufdGL/H/Njg8mJoI14O5mRH904d91quTj9+fPbWdDYFpHQkcFDWJYuqu+ zWZAq0YoA8speK9Kw3J89wr/wXJ+ptldxf0asaXuubhfkxyTsxv3a0RZ0+1w X2bN0nuduC/DKPkttOkkAR1hy0/iurTuo9DnuC79mTgbvfr/6J9qUX7gM+UH rCg/8I7af0Nq/1Op/RclePvvQu2/AIe3/9I+LmWDU5BdVEd79ishOzsxy3ni GRei4gvuyLIJKMrN+Dr+pxZ0WgU9Wp5w4cbN7Psb3rHgaJLZMrZ+E4Qu+FpZ JNMPpzMPmjR0McH9qZS6D38jHMn69HvXTy6MeOpn7NxDwEkDs76AtbXwYP65 QhOUh06mxTmGiRNwdbCVteoOC2Yr8nF3neDCm1LOU9bmTihz1nl9S7oH9m3s EVRZ9A3G6kZsVuzqBflbzzy6argg4BzNHOzrg9HQpsz3nkwoDlz8d9iwAYbP s5+e6OCCnnvXOvlmAr480BE83FcLtuW31HVSuaCfKqfc7c+GqPOWhN7iGsgf ifDljyDgTfCl7gf7CbixT3jd6KZaOLNhfKUWwjfXbb7lsLUIuLSvTOItlwXz n9b+MUP4KpPiv/If/pG07vLLdgRc429N0FZC//dLSe1pN7nQEJ1xdOMjlD+8 tztWdqcWtl78k+t8nwu31n4UnmZNwIo7x357LqiFC5fMxifRe+9/kZ/QKs2B ARWbF6YCKB6HN3b0n2bA/kLNnL8jbAiT/sVtUqXD93wVo9trGZAtuDho6gSi Tz3Q5rOXDq4u+lyZzcjP8x/5+uQXni+V5XRo0aFkz8Vl+jr/5v+aMnvUms0G 80i+S5sbaDDNaoaMgSwDdKpE/i5DOFNiebjMIYQz5QPLxCfQPsTZLFwaNJeA 3AdTNimmsyAl5MKBV35c4AiPWe/hsOHiD127VBTPv9qpWqfLMcBe5WTlWBUb 6sck7q49jPJQgkk3+41wiEN6hVBAJ7iVnX90erwcukZSF9qj39s3JF2Or6LB 8oUd87w1mHD1rlSu3FwudFdf5V82vQaOLX74+48N+t/f/lX8JLEPtgQovP+j xQbxhE8vLwhUg7B1v91TTfS/2tza9SihA+7v3q/n4VIKiaMf7+XPqYb5wW8s VFcRIDnv5VhaOwvOB5z2yg7jwviZFLI+fG2ETtaH2w+KTcP14Q2/PQo2CdDB 5tTle/FeTHBsFZp5U5kL2t49ZN34k3MVWTee86CTrBu/kHJ/E7edDWkLL288 4FENR2SUys2tCAi5c0r6w5xasLN4kmpc0wRmZYGOIYr9cCR3VpfgYyYcmzDL 2Hy/AUz2v1oQieJv/jnVa1e3oDw+8uy96sg62Bg9x+lBDoojwerLzaW+Qn2q wa3x9k74eq6h/bHeN1gmW9R4ooUOsTv3RupbscCp483PnSivnqNQ2fUY5eM2 O58rbcliQqNzEF0f5eP1PWdaBhTpoPvuvbFJBBNSPRbt3oDyLemrD89YpbJh IsbVc3dzDSwPeVN+oQLhmRvXDsgfYsOY3Z87D1ur4aOXZc55lNdotzjw0x3Z sLI0cfnKxGq4YTMlfqo7ATHXah6EvqqHjjdW743ffYJDo/v58kP74RpT5+r+ G2zYormifv2pGjBbPbHhDMIpP5a8/qN+h4BXShsFE6/WAsvzdsvnu1xorYgo t7lChxdTFLMX/GWC9oFfoSfNuHDg4IxfKS9pkG6tWN0izYSVme8Hp0kg3Chr 83qhBAfm5jtHFiFcbN+Xb1RxhAFi0xu294Qi/G9dXv/FogZ8DHKnFyUQ4BFk 56OqzoZ3EZ2z0huqIEjcvkVNET1v66wuAetqmHL77P7IBXSQDbg+R+5QH+hp vlnsM78LVvfe/HwxgwX+1oYaTq9YIBajcXhFBgdM+QSt8Vyoe4uy3qkKJozS dF+l7kT6ZOgeVfxBwN1VGk63RZngczGLlGMYHEXKqWrRJ+VErvUk5ch+qCbl lKkmkXL66pxeYznaPSYnsRxx6+TdWE44ZVeulF2ZU3Z1IotnV8dHeXb13INn V1oNgprzHtDhmX+6tKU0C26sOWH03JoL067x/GpHGM+vNl3g+dUtlF/to/yq HeVXXS9/yPyymIASZ9Hvy4tY8D3A/L7zOS6cLqwscXnPgcinMl4fnZHeRwJO 63KYUL4gNPaMCgck7rTDW4Sza4rDX2c9RPFU+eTw/Vo2lOh6MsSjaChPzfLv EGDA5gKenFcPeHKWePHkzF/Ek7PvIU9OazlPTrQaT46qGU/O9gqenM+yWaRd Pbu9ibSrC9d4dsWm7CqXsisdyq7mN4qSdmUYu5C0q8MT70i7ehF6PkqZ6ILj NlwZYd16qJDe+ekx1EHBjCVSP3W6IHO89cDbhbXQ63dgvvwoC2hq66Qv9XFg sLWkWlaIBdOcNvpLmbPA+2iVll90F7xXLfVZ4lYHUcqJHKt3tfDbuzbtUC8H 6AXpkQv4WfDg4wG9lK0suP5++0BEMQceHWtyjj7FhLxd7M1dI0wY17R8I7ue Az07bz4QukyAQ0ALXbmSASaHxrLS/rChot6/7akNHR4yfppM6DPg/fO3Wral bOizWeGVYk2D8KpT3/Z+J0Dr4BFSjpCI8EMsp61gEYHlZMSsf4Pl2CRv6cBy fheEbMZy5s5cvBbL+WZ6Yx+WY7p1BxfL6f+RNhyYXovsdJex47NmWLTb/1eC Tj98CTub1djJBD6hVbu4Ew1geGGqeNcIF06svkfMC2DCVmZAs8KeBghQOLfd jsOFQMkta4qf0WG9inbo64UsOGdbc+eTLRfscqzJ/7XXiAP5vx6Q5P2va9p4 /+t91VXk/1rd7S35v/6lsoP8X6c1NZP/6539tuT/+nNR+rjQUgLW3dI53lHO AqUEB9E5wVywD+s5PEWXAfqXH8WwA+sg2XmmcOkbLsJhd588DiVg0VnTgy+9 a+G4/csZzDsoXsy1ivLRJsDYTu7P534WlBsnGMah+PjDIq1sKIuABQpV64Ze 18LX24O7mh5wYQ+n+amJJQG1QWUCH2VrYfz5mZA8FPePqF55NU8J2Wf7kwU9 ZSxQVXrafTOICzfnz4icJcuB3pBDfFfnE3DMtvz50VAGvOlfm2eH8EDehc+D mkvpYMRimK1cwwC62matgHo2DKorzyu+TYOt6TFGrkIMWNUqr+g22AmdkgX3 xzoqIZF2Yx8zlQ4mnQcK7bM7ob5UiLF3uAJmy5Q6Wcygw1a9ym/aSQRclGGd zY6pBZNvI+9L7nHh1WZDltNNAlo084/bh9TCKuHJtJZELqhS3wVQpr4LEEd9 F0BzhGcPlvU8e1Cj7KGBsodf03j2YEDZwwfqHvh06h74xdQ98OIU/sy8z8Of xyj8KaTSGU/f0Qdn9k85e7y8Hbp/Pb6erf4FxJuWkbjFw7SGxC17JhtI3DKt ZN+V5fl02LT9oq7SKhYY3giStHdAeQrVp9hP9SnWUn2KWx4+LW2MDlAt3XxL /1U3lJsH5Oat+gZiCQ1VCmWdcOnnwNBDjUr4MX3xKs4ahBuEftGPmLDhhs8W v9tG1WCuP3uLqwkBfJ16U+NQvrlTIvdyqHk15G5orjEwJUCFr6/jfTAd3kXC tW+DTLg+r3xtoynSR3tHW08IGxSYhLA51EDmt2+VHrHI/saEWhzQvmgLeD98 bdYOG+OeHgqQ+Qbte7a0LDnRBLn8Q3JLBr/C6D0X49sD/cDos897/4wGV4zi B16KM6HnWAzfyCwuLPZPFZJ4QIPIzKAX2wSYkHwvcU2pGPLzDwvlN57jwAbH TZoGIQyY81ON3ePKhGg3lbw9ThzIZBwomyvIgMy8r1M4yC9qGfDwnlz7RhLv PX3Iw3tHuwOs5RLYwM69HFyUUgPCCieCluUSYP5Tc+VTAsVjAx/HCmMWWD8U sdvnwoW1tHlfv6M8bYqcjuzp3UzIX1MlMaT4/yj78nCo3+jtqBRZIpFCshUJ WZJSh1DKllBaFKJEhWSLQqkolSwpQookCcmWPfuYfazZwoxtBpVSlvQ+nzHv 74/fdX2v93r/vTud55nzOct9Hx+DBcl5LtK/X1PgVP9Bb16ZNtDpe6b0tp4F NpuvflUwokD61x2mW++3AuHM6MRsEQte2pvvyO4jQ0Vyhz5pqgUKuw818iP9 IpdxiPE1mAq9f05Wk8+1w/bMM8uGsD7z8pXzrxoKbJAcW11k2gbrCnZvmsGx YJR7ejP3OQq8lbXjVq1ohfZblkJLy5EO+sOk72tnQPX6i3Wzz4lQuTYqwG0l BQ7Zlll/HSOCqU1xyWsrKrhv4Ct9LcMC95Iv2cd9h2APNbvomBMFJGro7+6a U2FTSpjzkncU2IRbWpayuQ2aN7hVXWhgwYYapYHvriOgc16M9cahA/wynnh8 iWwDL868aOLMiwTOvJjjzItWzrxI58yLRM6cUuTMqWecOVXNmVMlnDk1wZlT 4oqgt9yIAdLODcNRu/AQbLReVtaQDBs4caNx4qbOiVvU98inn95TQFSTEV26 FfE72rNQCrr/f/29kv/6ewTVNWuLc5EuUMuXusd9iQjnu1ujRv+QwXLWe4fZ mlbYdPyR6C6TLrj0dqJu0GQcyBk0l1FpFohIGbeFCzPgoEEofRT6QbLbuO+d PNI7zW98koub4apbW5ysBBn822Q9DrIQ/y4U/aaqSYYbp+3f7o5jwopAhwye pwQ4eJMimT5Khk/7027L1DIhPlSK/FyJCNJ3l+oeCUPP69QXo36kN5821yRV +LeCjO3AccH+LijeuJX397FxCBd69UGarwUyzwSwyoo74ZTPJ1rgpnEojW3l 6nWkApdE0p0E3XaYNHc94jmAeJfbo7JftUNQz+gqSURzb+s/y8pff6hwZFK+ 5JTfECRJUftmXCjQF1QcX2ZJBelV/+QO15ChuEXuumhTC2QvV6lrTWMBbd3s B141Mqwtd2nk6aaB14SyFvcdpDcDSuQC7Yfhd03HJuMXSP9OJqyKMW4BesZl 9auSwyA9TfOrL0R67YZVbU0RDfpb3j21wjNg/LxRUJIHETz/3ZeuRrqs0sBf 98/6Fni+5OyujdROuN1dQ5tHfFLETT8+350GavrhX0VxHfDh5+G933nHYdmH UcMRpAc/H6UELMmmga/kUWMWpgf9PO7IaiPd8+2h7dwIDW5EjscejWABt0eO MPb7xd44gWzncmSPjy/Bfg+6g/D7+zKZIVBKfbDkhAoZdN2Zo/seUyDBOuFU XS/SrSzeAskyIpQaXLK6JkIBS1mHFQViFLgk1+5fuL8VDm4jGu7KQ7rs7f6s 8y1kEEgkarQMtMApDfrcmQwWPJsiuJ0KJAPpb8X+nFNIjzPOP5RPYAH5jK2O 70UyiA0IaO3Z3wLfLMjV40jXK6i+1Lu+nQLz5zothTxa4Vv0CintAhaEDUsy ru+lwNA53Fj6zVa4Yx7yWQ71H4/85/a+iIeWvd4a/Hl9GyRmyw/LY79/6idf 9WWQAcbPrnaqUYjwxWn3kkMS//13fBJWhTo4f0J9ZrMFv5kCEcYz47aX9ZNB VEneylR1BMpcNT4KPUR5tT9++RR/G8xUn3O1PDIMVSHWSVv8W+DKW97nO7a1 gKLmg7i25iFIc9vrbRFHhUKSes0vxEP/CD/UOB1BArWf8mTeWSrU+ux7PG7K giPHjPf1zpPAqiDsR+VV1BfWEnb5ubOAb9fiua/SF88dd188N0vFjX3u/boz 7HOnpYTZ57ouf8g+N9XegH3u3gQN9rmdcbwTS0tHYbLpso0VygPbW3I5z5G+ vvy//l4MmfN+4H+9N8jlFa8j6MmAH2t4xDZ+x8PMmVQn2RtkmD4V+jsE8aQg o6ZR51wadFRs92u+9t/+bdrUTr8mMKC+Q0pH1ocI74V7P0bMkWFFfr49hv/U 3qCN4XXlOmy8p77PgvsgCSa2vDfIRDqaMJ9fewLpaIKZszWGDw9e24/hnxom 6zDct7PfwTCfBJK1QsmRijS4YhsldfoYC5r7vrLx7k+CbHy/8CJutbD16qN4 Btjae9oyYgnwNpJWtjqfDDjNH7cMke421oqNNuhB/Sysp64Q6e46IxWX4V46 ZMqUBJ6Ox4F5Wp25uR8JyI+lweYPAV4W9n//ZUmBY5Ghxhd7mVDxKVUx+vcg BP4JkjnaUQ/ck8ZPnFcRwGF2Vy3VhgBPGsQ3wEsyZAbhv9XnMeES3KsslB6E c7I+XFa2NWAeWn9zfz0OpvfYrv0rRAK9qdg3ogFI3z6e+96ojPhqTebKG9YM WMVtJFlwDQ83fscK9RwjQ+TyAnVm4xDgjKRrqPeo0CWzrCeeiwYtF75dphoS QHV4N69aFNIPxGO3ZbOZoF4jvIpY1QjCbl9ObbjXABm90z1VXmOwI3Qi1aCu CWhzq0zC85tAa/nt3t7isf9ve2nRa9lveCkQdNBGX1CzFcQ0Q/sP5rBAcX7Z Iew+bxy4B1TRfURXGwZi9+EdDHQ15UX67TX9b4t2B7ivPvzCao4FldI430j0 ecYSN3QO+rZD6YjeZOAI0imguidxchCe84t7WxXVQ96lO93803hQPL/cOEW5 H9SVSuS2+xei+dKVrnyvDvUrrShppL86My/2CSP9RZp+skIV6a8Zddctsh8G 4KzxPt1tMdXw80bDPstXTf/5XOxF1/a+jqFDwi3lEZczTVB8eFt6OuJ/y+Db Zx7+RsgymZ+Y4a2Hz19bFJz1xyDkcMA4Zi/sP7P5HLL/svoiEbPPrm4KSN9I h9md3tzXbjSAd0BibaMvAeh2ASsjiQOwT3XY6c/Kz9B9UsXAe7IJ7pGkjfrw dJDrfBOUZIaDfLHwY3P7SbC09TRXWSYBLLLTQ3zmyZAS9OT0dCMTBnjkXJ2I BIhrmc11kaNAgaON0R8qE+oTBDwF9g2AnG/myMuzwxDmZGPq6jYBa4VSjFhT TIjYmP1d24EOI1GJh0mZX0GUg9/h4EMcPD5F6QSv1hjwKK/upTX2AbeQgctX oy54PGztIhxFB826ulP3DjeB4fdbIqvSiFB17W1qAq0btP/UeMjMDYArfmv+ F5kJmBe5mHfuAAE6Wh+EzMeQocn9SoHke3SPW/z5GO6/3+QmhqdsorPxn646 Z1UKCBBa8broOeKFC+K+M2vxTJjq9j+xhkCASu7VxVyyFDi8IrzhOfq809Ef LEc+0yFgpcIqCzkcvN5oFXhABfURbpdR+Tj0eT5fKY9zaQLeTcbu6XlE6Pbj YeNk8lgpht9sOOCG4Vu2Jl6/PEOA77IPSZusKEAN6Dhagup9ZoPnwOWfBMgc FT1MNUU6WXrHt5M9TGgk9CXiuYkQ5JeSsfYkBZYknt5s0s+EWwdvxSk8IsAd RtvGHV/JsNJR50t+NROKshf7kpqQB7svZcks9qUKke/yCb7NsNJ1U7+tGQFe FQb4a6gx4UD6pOsZ2iCINf/dZryvHm65Gu1zfouHDQTfH24EOmQVWT/6aoED 3gyJ114mJCh+aIYLsSEBxe6Fd181FcyN1XRv7GFBfYMsO0/CHy/mScDhxTwx b1u8f0TI4v2tkxbvT3jHM2w0SAcTk2xLv0wcaBs1j/27SYK/mYt4kt4i/lZv EW8qWLzP36OL94l0XbwPxfXipIwGEZQ/t/icfoB00F3xR1oTTHhTmPoIcERQ ylziM69KBVfxh7Pl4iwYfmIm5r6DATom/Cu3ceNBImZl+Ig6GVxPfJDAcMdV smIYfvxbXCSG72x8N6iYUA9y9o+j+f58Boszh0xdukah8XHpdg0iHlw+pVTu WIN42HyX0TLsvc1j9oJOm8ZgUErv3l/EPw4qC1uReVnArPlV8RT7fkf+JyOh ea3QSf0iWFOK+M+6jT2/ljVB5C1q/vj6RvBevVnQPmwMVIUEJh7j++FBvWnX r8JSMNScDZHXa4DBV1obD40zIMVEUNv8DxHEqJFGEwoU6PLVdVstPQRnnywp s1Egg1NB8Ol/kRSw5VvTtL6bAOMOBvYziB+d2XzftqiNCds6yw/V65Ih+dGC avsPGrhsrtrVd58Fx7WyJEoQ/x9Y1nNbF/F/X+G1k/6I/3trl660mWHAhsf6 Nh37SPBNZkvYgB4F7uYnrbVawYBDOiXnR/Y2g9aLb2NPB9Fz8Z9l3kb665Hn 2fTVyUQ47XLcpBbV2efuK052imToPP/+wMMmGlz2e/N9XygLhIYsdY2OE6HD odVsqpACKhnWp+h/mPDRsd4Rs984Avsxe/79h9j2F1Tun15xkgxa1j9+zGxt gZ4Ay8dH41ggdm0R121cxF1vL+KyBov3X8FYvP/FXYv3D/eXY9+fHFThgt1/ SDRzFLv/4/P3xrD7N0VeSsHu76F3cT92/17+Q+I/RGhg1ftF6IxRB/iXhNVX zbMAR5tk6A4NgXCz5XfBn1QIPl4YH4q9TyFRZaWgQYfRdSTzrc0N4GWqEn7y DQEmXKSu/dyPh6l1Ob2CK0igS9fJFXNlwnWGkBqeQoDWnk/LeTZTIH8d7csQ jQl+V948ul7RCInibm7qtxuA1usrthHNzT1C4rsEUwegK/jwUwezapAXH31/ 36cJ1ovPbd6aNwD1v6m7tz2qhs772+1LXjSBemRKxpfjDJCL1v0iGoeHzOJk 9bMOiJ8sjxT2tEI8P9lY4K5UC+wvNP44GsMCca2HX/aq0UD674ABl0cHnPiq Y/9ryThs5+RnKic/D3HyM9JVaS0PzzAcVMqV0TtHA+84vrDOOzRwc906oBky BJGUrUbFtymw6oAY37KzVKAsUyPuOz4EWoo1y+lIz+w+ZlAgLkj9z/k1ZyB+ sRTxHsHBpXv/xbdAoemo1ULKf9dRGs/PJKzutKK6C7G6U1eZ4sXqToNT12s5 dW3GqeuLublnvf8NQbdd18qXFjR4nSP+7ZY/DR6EuA3tT2YAPwuXWJ5LgFM1 5x6tLiOD4cgc8UwNCf7cEH/4VocGmpbaFrUnEQ8/HCUlsR3pe9bwp2avDqAE b2vfzTUOqy6E8hWi+EybwY98Vxo43e/dczycBjH2pWzeaNWb+xjjjZtXxbJ5 43KznwSm+wCs+r3fTMKzCrQ8osa2DDfCjrpHT876Iv57b1vtdlukH7LUL5zH fn+Kg5twcBUOnrVjIF1EC8V3OiC1ZIgGxxpjN3wOZ0H2F92CWCc67Pi4TPt3 DIqb6IVgRWUi5HBwfQ5+jYPvnev/eG3pELQd2xVbcZ8Elyl9r5ZbU2DMOZ+e hupuf6/ovmGVFmjd1DdzCdWdve3xaw9R3c35ePIFGZGgkCXxx3EPBdq+hepg 9b48duwQVu/ht1pPYvVuMN76NQXx8rVbjj1pLGqHyqjDLwcmkI6GuFvWn5rh S8D9O3tQPzNtnQ7ONWDCO/czcrlr68B4lczlHdcrwWg//1Jrr1FQngxNrz03 AGbh96+XnaiCPQMyk8c7G0Hkj85rUuwgjD1c/3Nkbx3I2q50rUD9PoznkLjb GOLxZ6XObjNAfZqL8DzlCxMCpPS2R3zFweqS+j5fATyENIU82cnDBLGKtLtD HUPwjj6Zrl1LhaOXNyldkafBJfuWc+s76WBtla9yJBgHujNh49XnSRDCqd/3 nPpt5dSvbPPETqzuJPYlmmB1t4pX5hNWd+ESF8XrfjFgS3SwxyElEjyo1Pm5 UZsCK4TzV702Y4DGlgvjtqfxoP957mWeBRmUn37mxXDd76cZGN7zwOkFhp9o WLOljW8I6cjn12OrSGCyiZ9H+CwFpJu++U6sGYKR0E9RP5ag/y8rcH/IlwJZ 0Qp7MPv4U0zROGSvilvQxOzNHtutnnUkwnHNFae0qihw8uyYrvEcE2ZnF/Ph p+1iPnSTF/OBMLLrhZMFHcqUpj7s0W+EWed/4isxfuMyVjV6mA5qFwmBxYca 4fybeR3iLAH2fvQyKXuFB+/KXye08CRQ1srUvBjKhCuDwnJYHFQ2K9Rgcfhx KllABsVh9OhA9QUaCcL873Z9NKFB6YG5KwoOLChc8ap/Oo0BI74Zk754AsTf 9HPkqSODp1A6FFmNQN0HxW36Ah1Qrn9js8aJNrBzepZ+ko8OsX7vPu9URPyZ JFZctocAwMlDkf+Vh14H/xkeXE6DticSUs1qHaB09alcySwLcs61dhtkt8E6 H+PNLXk9sGaveQTp9vh/5ol3+++mq9Mo/rXLeI6q0uA+iAUOOdOgx3AyIRzl z3ifyKoNoTjoVdHbO+pKArmwKjb+QNiKD8NfDVXswXCTjTcyl4ySQaB4yWQX Vyu4LZOL8njLgpaM+rwlqkOwr1ts5NFpMtweXLhfnUMBgZb9hBcWw2C65dfd uGtM6LLafb4uZhxs0q8XzaDnyxR98VcTPV8ew4xN2PP9v31jF6dvHOX0jT1K NcJ/BhigmMa3PoxABKMpvwPr11FgJ/Fx7g8+BkQMXtSfNm+GU1r2XDbjSFdz 5hGZM4++cubR4EHl3zYvCZB3LEjh6U8ydE2Js77VM8FYUG25fzIBGn6MXr3+ DfH2AoXBgTomuNdw1WH21zdqfItH9q4El17MPvhiNdMP2ZcMMo5j9ra7tbox +xjdVxcFSunwpu1aZDk3DlxZf77sEieB+RJHWa8SOhy74Ga9er4JhvSGV4yJ kED/n80ENWYQolRTDSm76mApf726xBI85F1r9sH87D7t9QHzIzFwcwrzc+rN vArmh5LhHIz5kbxqI4/5Gd+yGJ8vLxfj0/ljMT5XXSs3SyLeeGKTk+1GxBud c0z1FyKZ/5mHK008am/MNsMbKzHTeGcikI0blu2wZoJylbPUry9EiI+TFC3X pwJ3JmHWXJIFP8cFLJz2IF0vWv1eYCMe5Nof4vfsIkOWkfOG9vhGUG9XXRDS bIC8V6fPPD43BhW7aHp/xlEefk3i2mnEhNEp1kf+svH/5LHr5QfHQy0H4ISk kfHzn5VgFr2VtSyxEawv1YR7TxDh3+hnEW9bNL9tH6e+2MSC3fLc6jc+saAA F7rG9ioT3ireY9zADUN+/VZjG2Ey0CJP7hl6TgPTzKu0Rh8WCMymCy+pZ4B6 Yk2puy0RjN1Tvxz8Tgb996G7B1uQnlH/5GOhjPjoZt8vFS3ouV+9nHkT9ZWO m6rWw0g32X3LPuqIdFNeO9eEZQ8dMj782lcXhQPFHxdceb1JcBq/iBfcWsQJ tEU8QzCOZxOZDnFaI/NSJ3BQkPH1SYElCQwVTl/D9jaOovE0bG/zIPTxHWxv U6agcOauCgFeTMu/80Bz2jpB72D9ayZ0GnjlVD8nwnlKcEDGAgU88mRWHlnF gu9GVd+85RhQ57ZS4UF+M6ySKzALFidDd9SmgN2ov+Gel8teViAByZ/WNqVJ gfRTGgvfIujgsXPMUF6nCV7mvlJ9EUOE/t1ryhIUkU76OdW44TEVPC0utPxS Z8Hbxqa9lwnNkDxAy21dRoRswsmJ4f1MsO6aNK61GISq6ESNu5K18NQrZdeq A0gH7pgsP42eS/ztm5mbfZiwHm+nGtc8DEvUzHIvlZMh4fFvHp2qFvAqujTy 6xULghmLeoGQuagXZFQX9UJTRI6v6HAtzFM2TMgVVUD3SzzPM+dRuHHgAe92 8X5IbhibW9teABl/TYQljtb9p77Im+SzTTtGh7c5oRVJ5xoho2DaoI0f6be1 Escx3OmmFQnDbd+0mGF40O/bxpbWdHDDMSYybBph1cXzB3ZxEaFnt9rO9YZ0 eLH+50E/4UbAhzz/2dxKgB6je3vFkwggmVeVwTOJ8qnj5qObqD+IVJ29k7JA BIWPPPdTz1FB021ceJUiC7qmxQ7rNxLhlQXvoR4VKtyN8nTUQPoxU6EQJ1pP gr03fxPu7aJB++axO6GnWJB0sICN+zydZuPVzFE2vkqwGX8+BfVDSrypewEB 6HPB6TEovrQnjWy86OkDNq7wPoiNv35WUqiP5vj4Ufe2vFN4sFVP7VFCc9zO 5/BgnDYD3vMv21ay0AzltW/7cGpkKDljJd1bTAdnHtuO9zNNMMX1WNhBmPSf 8U/3spNtkxqC698afG/Jk6GgLMY4BOnE6VT7I1ieiGvKnsPy5ETp+EksTzZN 7wwcQfXhR9OQ2DNIhSv5mteF97Pg7t1b+27vxMGtZW9kr77BgYxW0gq7jjFo r41tS8pHPPPG9m+X81pgXaFUWshLFvzaoz2I5VUjPtMay6uXPguTWF4tTduX i9nnPvEtxOwNht2TMXsDx0fBUcspYJ9epTKo0gpn1H2k379ngft9e6EtaJ5V CLqq5aq3gLSN3QMC4pn1nDyc4ORhFycPj31kimusH4Jl836fPVG9iSxZmv8o jAIJFnn3n+0cApcUzWVJYWT46meW1VNPgfkVexkK1xlQ2d8scm4zAR4IflXJ fkQGS8t1rtg8jT98u+8hOv+P9WFmFZqnEnebg/ORLrxnrUJ/vr0VuPIdrijk sOB6q/3FGt0hmNVXSMKFk8GXb/X+800UCAxdtBc1XbTf+mHRXr5t0f6I4aL9 wKpF+7r4b/Hz6PnjDVNqWiVawHdHhU8k4oepR9VNFOzwcL/Ci+vJVhLEBk0e a7zIhHXHF3m4H36Rh6+RWeThaRpW3iNojt8q6psIHqGBqhi9Z0cEC0bOLvLz S72L/Pwy/3o2P4+YLrN9O8iAIGUd2fNkIkS4XNrEK0GBDtuizVtYdKj+ubXR kogDQ/OMP+QE1I/iN676eYIM6Y45rd1Id1uWSX6wRucyZMINZn4TAG/62zjO kgIOxyQvWfcyISmizeUFmoN8n+Rbs9AcHBs2PiX7gAm51BB9zH7Dgz4jzP6r V8tFzL7Devc5zH4n6RHb3vySI9s+ciD9fjXqz1uu80dXP8HBbFbw12FfEuxQ /nCw2Qn7XnG3a52xjWBTSKguRvrFxXRwwgx93r6y67bp+0hgV9CxgqZHgZAV i/HpPLkYn5SFQXZ8uqTL2XF4RVmMw6PExTjwuW7zkspugRxfSd5D779A60d8 2EfdcSBV24kfGiPBV95LLdyONBgySr3nfI4FDZy9pe7/2lsGfnPLLODrB2XP wwqZCww4ePc5j7z1BMzxHbS7wiRAskO13P59FNA//rR2GOkRlWgWG78j5SGP 4fJL6tg4OWC/ofQ6IpQ83StY5kWBd6VJTuuHmWCxjp8dn0LWw0dYfG4+HOzF 4vNGiMWOT7HYiUAsPuVdrp+x+Cjy1hc85mmGotW9+QeQjjhIjd6WuJoJTzl7 Wn7OnpaHs6ddIPMtXKeh/pxJOiDkioMp6s2KYjsSFAj4b1zymw7U7zmCRnM4 OP1gGbGviAS2retmMHummaUmZi94dF8eZn/koPYmzH6wjLEWs7+TkU3F7GPU 9975ifTeHdvED181KHBbvafpRxsTQnNm+7G9H0kx8jy296upcr+P7f2Wb7e8 SB7Hwb72183ZSngozQ/63MHLhASevf3MBAasb0pxakH8sdJmZ/zjIjK8Fbta enMZA6QD8u32azaDbqHuxJpuEtjsKvI+/m0QmsLOSp/Dj8DuAO4uDdUJeN+x 5HYljQAEXF74OiWkQ+z1ND0QD1mz3Uvzaz4exl6ryIdMkGCjf7FHy20mJHqk WGD4pqUT9hiu4iXvh+E8abFzgZl4cM1yu+PeQYKguWmBhZtMaD07cZjZQ4SR 1u3JA4ZUqGac5JaSYsHRhdjiQU0UB6GsLINgMiS6XCE3vmHCi2QhD2y/VHXo SAO2X5J+V9SG7Zdyf6tsmDyOh+jyQKqTGvo8b5JPGF9iAu1tlv3OFeOwbqas j1duFP7eEntKb6RDidmWdW3ZLNg+9cxTvIkJ96/X1ofsGoF1mnIHHxxHenS2 /JjHuiEwSedff0J+4D9xAeW5W30uDNh7ryR8pB4PjPG1Ndc9yfD5qtOVFA0G xK1sZ3r+aIaXFxLfUreS4e/68s2iemi+HPL0YGVQgbbUjUndwQLvl3x8CtVE 8L7Mc/mwAhXk98qmGKxlgXLmnlDMf7aN/XXMfxm3WyXm31Ut8QLmn+vxlQbM /zOHjmTMf29A87W7UjR4srO8/LBNB3zOTHaxXmBBpdXQwL8RMjxupdZ8Qbrp 8foXVzDdtO/4uhEMlwt73YzhxEoXbwz/RaTPmGkOAbd/9/c4LzJMuFiYWpZS YGR60/5r03Ro0HygJDGDA9oXM5mAQhLsmm9u0ZomA45Klata2wqZ9zV7XN6x 4IB/QRWGj79+tBzDhU/qfMFw2X/5vNicmml0e4TNKefnXLHYnAoQOh+MzSmG hUjHczSn5LWDo7A5db9iIf42DIF8l9UvvySk8/fLS063In3xqSR8oKQZUoX1 fcy7UB7IXnv92IAJW7//+3BfhwyjUimV6ydokLHpZ0rGPcQbXTX1ppTJED41 r3qMRgP1Q9PF9bdY/7n3uP3dNA/zszd7SRnmJ3oFD9uPRVb0AetSpEe93jpI qdGgUqUy6zHKD73oZZIRR4igsjwsAY/m5XGJwi6B36j/87la9zAYoHBETep2 JxHcosV85zZQYJb3bdepLgY4l/yMm8tG/Mv5hMmoAAVMOf6NOf4rOP5dOP7t OP6dOf4rioQOY/4r9lsJYf7ldRK9MP+ls89IfepESL139iAv4j25Sb/6useZ cLbuqxC23/jAunsS2284ZDex9xsHNlex9azRym0GmJ71Pd/J1rOfpGXMzgYy ILYqlXe9DAG+nLjhYfWADG5B1P2Yrmmv6tHHdM2j0JMtmK7h+rMl0h7xre2f Da2O19HA6Yv0FtUQFpwcP9U3aTAExmpuK+Rfk0FrvYjnri4KcF25LoTpINw8 +QOmg/atL2/HdNBZ49NJJf0MEGyZGjyJ+OmL69/jPcQoIBNDtO5rZYCkn+PH nfFEWOZ+ZvVDHgqoXFBgn4vX0GOf+2dEkn1ua3TEoVLEu520/mkRjrSCJNMn 3P0DC3BqKWw/vtxJ+ZifHNZGtp/LE/kKO++RoShoa4ywdwuEJL7BH3/OAlev HyYYvtBp2Ijh2WcYFAzP5fTbq5x+2/P/6Le6e262G+9nQPnKEZthQzzcOTn3 UXE/4oXLhcyzpMnAbJwo3VtCg2errfHC11kQuFyQjd96w2LjOWFH2Lhk/wT1 6uQg1Gzx2v6hsB7uWHsw03/hYTQj3eg2fghEkm3zquOpUGFxv+AKLw2iaMXP 6uYH4Pnc8ZiExs+wddhvxsodB4des+LXZg1Cz6STMyTWAWOtvODlvXgIp3sQ jL8R4dizCW+nY1SoWnPzx0ZZFmjqUOLcc+gwJbraMYzaBE/5u4WE/hBhxwET v40UBsweyN8UfosIGysHZ9SXUOD3reUChcYEELwl2akeTQZ6BE/M62yk15xm Iod/4OHHOl/aDqTbjetmgS+eCRFl26cu3SFA++GcLVNtqK/06AQfqWTCrwSL SM9YOqS8jeV+69QEJcZ86z7nEAHPPMzH9KLDZW3ynUhaIwiaGy+ANRG6Xx9g 32dHTi77PvtHBtj3Wbu712YK9Z+6qrkUxfVkWLuidIP2Hcr/zAV1zly4x5kL t6XPl71NG4TzZ/akpoXUwYMjr9J3b8PDuhNpYV3Rg/DmD+ExaUcdCAtJbr/5 txkuba6QzTuK5oNYM0NsXRXIf1xyw/h9I/IbnbbNjgE9s6ctZB/i4fGDC2fk Eb82YSYu79/GgJfNn8zre5vhd1BXiJ8CGVTmn7bEBjNA5INoVNB2AqzBZVAn UfzOnxA/VRlAgiKDTZZeo1Q47VqalXmABfTpA5fKqknQp2H6l6VNA437xTir k0iXJf4QeprEgAe/AptGsgkwXKBqrlhKhmbCr/YbRKRP7YMzXvkjPem9rjpr ngwRs7zFsRpkGM6kiT4cpMHzQwnh3++yQI527PWWrwzIl1RL7kHzim/t/Imj ohTYRDpQiNkXSYoLY/aO3ml3MfszLWvI+epk2Lj0r05UH8pbE/ORsTss8D// KAvzc+4fKR/z4xwz44j5yTjKteKEGAMs3SPoetebYcnSyVvfl6M+ovC24m8X HSiP9A1M7+PA1lVLOdiDBN/fS1caxFKh5HLq6K3b7XBSr1N/fJQFUymtK7F8 uFabFYLlAz/dbBbLBzcp7yY9KhH+9u9xCNChAn+buQdLAtXvjTXsPGR9CaVi efjiXyk7D1/EPXz3ugDNr3USMcEfW+Djri5eIqbvrico7vJC/Uq6o2cp3xj0 v7nSQ/45DsVTrz3lU+hwhIv/08pHTbDCn8/AE0+EH7U2YCKI9Luzw63rOxpg 5thcnb4JAcpqPdScziD+/5Jg6ZdNhj2DdtKZH5kQ7ZTlNrIUD/EKtYHx6Lm8 6LWba7Blgvu5/mghGgnmvdatsjWhQVfaApXfAfGEp2Zt2UwSmMbYNwU50cCB qy+7DvFw611dtSKzJHi9eVdTgxcNPj/q6M53Y4GQZ1Z/AOK/p9X/iO+5TYGD z5mpUiwmqEl3cLtp4GGQIGh1oYsI0v8iO645MUHdd17EAvHLI6U2BoKoD9/i 3rF+4QwTUnMt1GODiOBzWvadXzcFPj/cWh3OzYLjjNS7rBwG2F0R3Dc0Q4CA v1VRBTQydJg5N9w0RvPuRXFmhT4e3u68eHyTMRlOceydOPZBHPsujv1ljn02 x95wTqc9hEIHo/eSIeQzOKg08zzpbI3y/pb0OdIUHU4l66jyTeCgUGiftnUO isulp9FZm+gQmZnb13OnAT7f0JbRDiKA7kLI+T4pOsgzRGM2+jWArZf03Ior BGgwF+ChpDGgLNXzb2czAcx+Cb+h1ZIhK7LUWRTdc/9Bmu65aQIIZLD+xFDJ sPLMYjwPSC/G81X8YjyFNRbjKfdnMZ6Ryx6w43nq4WI8cyYW4ynFuxhPrbuL 91d/t3j/1+sW73/fbfH+m5MX7+/it3j/HJ5Q9v13rlzLvj93+OL9Bzh7OU/O Xs6Ls5fLUVJkPigaAlOVhCUBZlTwa9lQXNJFhZ+cfR2Js68T4uzrvujxWt8z HYJ08/E3KY1kgCPxdVu/UeAFX+NVdYUhmLRKPj22lwwX9VdqRDynwErd2w90 dxMgzud2Bf9dMhgcEY5qesuEkxEH+LH3vnaL95Zi732FVKboYO99WTTei07a SQGbmM7M5oBWUOuu2WFUyAK33AeuQCEDdenoQ5HeFnh0tL9v+DULNkhs2PbX EvECsd/mdhtaQM6y8MmHGBaqr/1vba4TIVv1prJRDwU6zz2zLEd5ePHhDHVt ER1WDdK2m/5oAi+uLdbP+BH//pkmXuZDB55fISJnBhshWTJD95o9EcTSrR2w PY+cEZcTtudhbqsWwvY86y49Ye/f8niUJ7H9m/3dGPb+LTiaq/0j4r8bf7RI aivT4GiUNsHCjgWRaw5oxywhQfnb6xc/ulJhr86LmzGKLAjh2Mtw7I9x7B9m H2Tb214OYduvH1+0lyhdbtVQR4Qumed1espUcN/HirgthvjVL9L4wlMGKCfm 1XYkoHg/TVn/9yPqU4YtPMLmDFgqme8h7IAHfNH8jD6K17nJc/8eaDGQPsZt 9Z5tBr38BdMLqmRolCCy/fCOZrL9dG5IYvuZuNjK9nOQWcT2U268wPYTfS3n BbanOtabcRrbU80cd5TD9lTrc+uEHBGfi15GrLme1AKflyUKRbxgobn5NCL+ EhFs8+QD7+Mp8PN4tbzXAhNEw0qiPjsT4JeJ0ott+WTw2ZL2XaaQCdoFakST tUOw0HVIlYj6PldyfWtnAAWO1PVZ4oQYkKFy2obXqRmWN9z6Yo76WvnNWF2n VDqkpydetX7aBN3m8u1eqL+fuD8c8v33EOwg9q3O1qTBw8N/SuVdabCd4/87 x/9M0qJ/c47/aI7/P/WL/gNK7N4elx8Crc2WUsO7yWDBNdL4MYECX//e/jyk MQQ5FtOjikiPlT+QdvL8RAG7/kKBLCkcHLOxsHPxwMGo2PSSpZQxeGz/SR/b VyTVRazC9hVC75iO2L6ihPKIvV+6LxvegO2XaK572PulurmL/5R7cRDspom7 vBIPd1ddWx2znAmdTxr4nyWPQBK+T+nwpk5giufVdHG1g93JXDqmr0dt6m0x fV1MKlyB6evyyXOfzIbx8ELV5fbANjJ8d78q2BfDhKOrd/54xT0OZteKVVUe j8Kc9womtxmau2dGH3KfIULnC00PgXIK1Gipt/vMMlHfFxEq5GXATub3Z60m zRBe7n976RjS2SpBvzLekcCwZtfTuxtpEMAMMIqyRXMnUlcU07nn2j6ewHTu 2K+1Q5jOfbb5LUsezfvXF8gWmM7trZSMx3RuywHXsxkkOji6thUp2OHAIN7t pYcFCdo4P9c7yPm5XgTn53r6WQ5n+pFOk6K6qjY+IMJXgYNrQu1Qn4nbYIrp u2FqpgWm7w7brK/G9N1//dxQX06Omh1ABO4j1386dVLAPvocfwUXC45JerRi uswwUyYI02UnXLn0MV3mJuLEjc0Fx6+7JrC5IBW2+RU2F5oFoy5jc+EnK8YJ mwudl9bxxKK5cP9nyaYrZKRfkqTul4SguEaeKzX5RwYn5btLrREvvXRQutU+ DN3fRGCVL+KlVg53hVIU0XNaIeUjj6PBhSNu9y6Eoj7wUcKsRZQBElF7NcZ9 m+G7ZJzN8FIy8JXu2inSQIKcCnHBp7tp8C3gR0n9KRYYJnr5HPtOgGe5oQER JhR4smZH261uJjzdckKJksKAjxZa4jJFBCAq8FJkKshw11vE8YUFHdwDTxbs MWiEO072Mdk/EV+P/qign4wHkxaxqsgqErgPaeBZwUw4z3lvmcV5b/kL573l N8RUvlGkUxg7C1nVSKecLu26pYl0ihzn+d5yWXy+5+IWn2/Vv8rvR1AcGhPc 7mNxALvdUz4oDoP3mpICr5BAYinP1ZJ+KpzPut2dbcwCpTQX/kQBEizsPhgR 6UsF1Wc3z8gqs6BROGhZbQGao4bUcF0JKgibz2sriqA4nDVLxvyQeB6z/Xx0 yWT7MQ4Njdq1gQSyjXbNy29ToU+46fWXbSyY7OD/W4P83N3BCsH8pCT/1MT8 iObY4h8EMSAilnJnUp4AlbJVTv0PyVDwLoHN51dyBbP5vMqwN5vPxxBleDA+ X/Gx3xLj80r3HoRifF5PiHGtyY0EtfKDlpGdVJD5+WYkxpAFbx3nfe0CGDAu 4n3vpTgBok7bjsYincknGC3wWocO1G25vnP9DfCzz/XBevTcbp9ZScN49e3H RnsxXr3Sc2wU49XyL/TsUlXoEK16sMD8YwMsJcXRYp4RwOZPhUPMj35gOA/W 31w5DB7qv1r8nCeA5iIcgfHJE4lZSzA+mVZ6mIzxyZCdW6kYn7RRm63F+KTy wYp3GJ/UOWzSQX5KgI+B58YDx8jwZrtc6bFaJlTWlgiqSqJ8O5/FL3yODJ9e 5flbvmRCgdU8CZu/+308FLD5q+KoYIrN39jbXJtlbtFhTXFh4cD6JsiMLg06 FUoES5NSbz4DElzI+s6nkU2FTMfDDdt2suDOh5zGHSJE8DY31PZ1p8C0U07W dQYTru2nXwhvwIOMP8lPlp8MJ8eHgzXuM2H1u6SiM50M6Jaq6SxLJ0KcUMR6 WEWBo6siXkRtIUPog6RiYyIN1ggNGgbcZMFmxS1/lVEfUz3mT+VGfezv8m75 y6iP9b9895wuSITDmYU/J86jOrq3624cnQkhQiK8H0bpYLpQH7qhFgeJgWYX d8aSoCvssE7bGTrEMoKHnoQ3gmes4FK8LBG2fOLO25wwCIYSh91X29YB7+Mg p9XCeJBoKCPcCEf5k8/N8DxKgNKYqhP9yWSYjYjCLTnPgNJM+4b4ZjxonRM7 wXWFDK90nK2CKxkQsqCi7buLCEelCIdjRsigMCDUdbCIAZ1yITqX0ZxRHehO i+lBn7MubE2/EBl4Zg1CKM9oIPPZRGrhKgsY5rNb74mif1c79q74FQ2EokTf Rfgh3aSzszEO+3nDmzsOeak0OHI6RnsZwl+dyBztqydA+f1yZfcNFFjytfwI k8wE6UD7eWFTAniaXvMciCfDy6hnalI5TAh0WBpwEIfikKYyzDDAgb578ZiA PgncehJvvHtCB76gNdLj7k3gNvS3qgLV2/CaJZNXsxFvSXzdnTWJ8uiYzOHz ZDLc07eXITxhwJmnrMLKxwQQ8Ymx5/+A+mqd2NnxeAYIi+yvcntCgDnh808f Ih4hObthJeEZA7z8rLTUkgmw4+pXfeFCVKd9f7OabRjATT1mJBmCh86twuLP j5NhxCwxHvedDBr3hj0lhFph3fuLI+VZLKBk6HxbmUCGbZVXBRn3WuCkYLRP fjILmoO7Uo8pkWHqWF0si0QDkUeB3xkofzT3/81S20mEwCqDZcQYxLeNtRa6 Jpmw/LNCjCwvEXYs0xskO1KgdV8479JBJpyZJ84XlxCAGXBmxRU0V654/flj TWDCMsPht5ifSsf1SzE/wydH/mJ+FuallgY1EED47LalwpIUaDM8+WMthQkO s9l8wS4EGDnzpPcX+vyn3vu42iAe9Y3XNPHODB1uUNeolC1vhkcWulppFSTI WPlJbJRBB3slyyi3jziwCbEYXXOPBE90zWiEWjrEfzrforwVBxfu1945tR3j Ea0JmJ/C1m3KmJ+zW/9pYH7et2dG3kPPN7Pvc+7UPhycslpuUYae78ATb3wu 4mMzqzw1nj1rgnLx6y5GNCI4WlzYYOHPBKPzcR5ucoNwK0nu4POMPmD0Tqm7 F49CRMnXTj3LHqi8t02g92knFFe/NdsXNAIvNFVmuF93wES66vqZwjagfoe7 cq0s+MldnzdYPQblKjzLc3uH/mdvs42zt7nN2dv8X1yNg4dz8Cd2f5Y++kCC wKcnF/AKaM4mD/aoHGPB3yeTqmb+JCh8cvLX0DAVQol9VkYHWJBp03rDHs0r /9hCgROliM8zl22j7Eb36MiZ/veXDsLSLVdN1jXD52O+V1JxJLjo8TBgugTN U/ufkroLTXD1Y4udpSgJtPMe8TL3EaH2X8WoVgriVwc+bsX9YCK+XVpTlEKA /lQeZQrKxzvbKdt31TPhPXinzQEBpqRuD6yPJEPs5nhlsXcor0ItU324muHM b2mti9Z48HSPXrJDiAmKI23angUEUP5mXk9fSQGfVqcbW/BMaJ1ImM3uJsB+ vHtlnAYFXL4n3elrQ/xzn/HpqIMECPnxo8LkCRncXh+g579ngpIN86kDDfU3 fUH3uPM40P63Z+aCHdInzeWlq1D9ju5VyDhyoQmEMnR+CX0kQrUtF28ljgpF n+54JrS3g9zEFUWeHyyQDbAvY6lT4Qt+H/RNtkGft5OXchcL6mJ9RMRCUT8e WTv8Z6gVdBipW3irWdBVMnCrCOVhrErRUaIyDh7bVpbLoDz8W2vz7mYuHTJW BZ7lbW+C8MtT32ZniVDSPe+4MYYOVksWdmnZN0GUsXncrndEyDz4o4a7kwi+ LeeTsvZSwWfz0eG6DSzA5UjwliuT4JOnhFJIHPb9dR4EMQ0WZDmqb3yzlgRl D5oPrQ+mAm/eii22KixY0/0sMlqPAd5lXc65G/AQtsvWY7MuGf7ZLRlKO82A HtMwv29v8CBubqhORHNvesBt+ostA2I2JE+FhOHBrUkmDns/WzE8fNu+ORJk VpyR4/OmAWlLWgGPOwtOFDmrdYsgvto7w7X5BQ3K3a5/SfZlwW+VhttbBFH/ W4dzVHpCgz2JZ+8IoL69LXQVb+o+MtCZT4sylreAb7+CVEEUC7YPPmP3h7jl eez+kLDuOrs/rHjEq9HSSQDDj2HnHqpRINA1zGAdeu41F3rZ9RtNfp6H1e/R 7dHs+j1AkD6pTqXDHhf3TW+ccJB7KjV3ly3qA2ribXMXSTD0zLGhv4sKt1Yc 9t1mxILk7wdP6HORQO490+HiBSoY3S1p+ox0q9z2jL0FCiQItrv7e3MUFcL2 ZSsXqbOge8+yPoezVNDe+sS2f3c73HKNImUOsCC4K5egeIgKK4MuHvq6th22 Xw6QGetlwfDGh432iCdE7XXWGdjQBBWee9O4bhLB44rXrm/PUN2lexB8Apog afLpoRsVRNBRS01P+4b6UsWo0OhXHOAaLya1vcZ+z41cl7aZASbLi2pYtc1Q 2RFUKSlFBu343cf/ZRKBK2J3XTE/FWaCreMnBVGfj8v6ZvydCK64tXFX7BBu ND3gIsuCgpprCoYzRDAuWxI46UCFjUPHjsbKs/6TD/8czLPpQucorpKihRXR YHL6rO6LIBZs8JE7FP6JDqcVbZLiluAg6ri2eBvKv1r9rU/WphJAzLCWZjSF 5szY78JnqA+0rflOwd7zFLF68h57z3N6iacZ9p5na8cyzwutJPijsxDYcogG npdNlfMQf7vYVaX4m4SHmGqnefG1ZLiw1GYq+AET9qwav29J+QqFWSnHO8sY UKTHPdlpMQHGenKaMmZMmDaBGI0PA9DRN2GbLtgHRhx8ioPTOPjMqdzsU4/p oIWTqx62bQKBzx8oNzOIcNlfWfXEWaTHy0/0KMU3Ag/XlSwdFSIwkzN1zR4w 4Lgad85xN9SfKB7PD6eT4dwLa5/sagIceO6QzlhLgf7wEt4QEhNije1iDyA+ LfBqeE1SMgmUDpw9FxXIhGrl/pdVpkPw070926mJDHk6tTtefqMALelU/PQJ BsiL2k9nP8ODQpLeiz5HMrgIvGXrkR/lDWw9IqT3la1HHl+dqyXuIcOZut2r L8zRIIr8TGTNQxY84eAXOHgMBx8P3/F7LZMBw/o2LsqTRNAcV3GYlaUAmSGk KpRHAK2jjVV7llHg5FI/52kcE0QvnFdUOUIAs9OV0pdTUN9WPJkmkMcEFw1J r4vcRBDXaQ7MOUGBD0c2Mbb1M0EnZuDjnDYZZMKXUBrHaHB0ZaoaAeWRCefc 3XsXzz3KWjyXceOm3vZqOqgEeTVsl8TB9M6H/e83k4D+JTjgJaqLlQeGfDT9 m8A6CT+RXU6EFuErNQMoT8q4E51sTWnQPr7NlIrypLgtdnghnQEH6n5fLyej vOssk3WtJ8PRbT8qnzwaBP+XF57uU6qDSyaV/ZU/m4GvTuMKdv+9qlNB2P1d z15i3/9vgxRZcpAOie8mJClvcPAxnet67E0S1IsPkzBc9ecqNv5rnUcQhlec OFQ+sokE3QNHK6QjqbA6fiQ5W40F5gYr6jC80PdRPYafDlyeiuE8j3ZfTU9A 89NldrcLPw0CTRxPpB9mwVaPXWzcUXOGjQ/MOLDxIoW37HxTOr2MnW91tz3Z +aZVfuoplif3+2/OYnlytTEmFcsTNbeaD5fRfHO4QVDir6eCh3v3YNReFvjZ 3REWbGHAQDVuMOcREY55G76XRs85xKaKbX9WB8e2J8Z0se3V8tOi87wYMCRX +2z0Nx6MNfMNbULIcFjqFRs/9LicjfuuyWPj/oxLAqqobyELQWVZNCcj3zlc EUW6o5u44ux2Bvht41OyGm+GZ7/2Fioro7wscaQdTqSDetqKR1uDm0C6Y3Sz 2mciPPR0WPiF9MOXuyXBYWlk2Nk5dOrUBzTHlTRvpyL7F3oV4tdCmiDxirbL ihoi7Gr6Hakmi/hv+Kv0oioaJDUbX/57gwWXLr9S1ZplgMBCB6/sQRJsrjC2 bd5LgRtOJm0ddXTYttS2/roaDqbuuK7aokWCSdmaAN0yAozmXgpdv5oCv/RV urmJTPDa6BB21p4MEqaK68LVWmBdmLtdbhwL7AQW8Va1Rfx86CIeVbF4bsSe Lva5oxf3s899ZrqPfe6N2t3scyO07djnqu3c2zrPR4Ol+WnfHXd2gJZI5cro OVS/TY8so/8MgbqTTOCENg2s2sEd+/7vGE48tVUW47mdE0/Dj8L1Sm8Z8PDs 1NllAwRYpiX19G8z6ruf8nRkzIfg4OYkSSsimuvKmydfTFGAz8u6CbPfi/f2 wuzXmF17jtlzrzUvH+gjQcrZA9t/2dKgv7rV/MFZFry8PBGOxfkHTigJi/Pe AOGLWJyvKQu2Y/bakmlmmH3C8l4bzL6u6bfVcRQfKI0r9UfxGesLbXmP4uN4 VO6cOoqPG19iLw+KD/2u+toaFB8ZCR9/LP4ieL4QLP5SqyhdWPw3H9q+9/PF YdhH8H5ZepcJa5tE5uxujcOLT3syVrcSgPzUo+iGMgXCA68aNLcwQVY59U4R 6ifUIvmQ09I4+HYnpFxMiQQmn3XmJnaQ4YuadQWBRQNd3D6+I/dYoK5Bf3uC wQBFfZsr59uJIOnzxsUM6cKOX1k683vw0HbcOPnfFBGshHE5r1xQPz9JuHFD kQ4dejN+PQkN8Eb0rKNsBAEUt2YkRHwiQn/71FlTaSocpf2s9V7Dgr19+8x6 1RgAxo7Plg83Q78kX88mpNvzuUSbgtbS4B/e0UbTpAMipu39N/1lwan6W4Z5 uhSw2/Pur1tgK0ivzFK9VMiC9/JXzTFc3Cqd3x3hQZsU1DG8KHlNnN/8EDx8 d+QC05AGvh74vdxXaNAh41MqaDYEMzoVEoE4MuA8JO+YfafAHwvnWI0dQ6DY Z9I+H0gG57vkqBfVFJBN/24uiubWB67O7H1GrZDJ8+HofC4Lwih7JE7uHYID u6rlTZ6RYUE5bYs7jQKGl0oO15Q2wtafPGXOwQ2wZ+XQJQfPMRjpD/PLXsMA ScerLMUrzVB93MzsFDcZnleam7y7QIDhSbVel2IyGChonPYvYgJ9dJCNH75G YuMCiifZOJO4IuryKzr4uStvp7xogu4Df5kT6Pm0SD84fi2oHc7L57pyjfVC xbuTbxPSxiHgY0LSmC8Rzq4LfurdRoEtho++zy9hwYh+dSqGt8wNP8dwCZe8 Hxh+X1WGfc/1I9Qx7J6TF+tMsXu6h7Y/xM4t+6qngp2r0koYwc7VpyTzbGts hl+G3vuzZgiQXL43yd+YCb7zJxpdm+nwozjiX+R+HOzoVWkRMiRBQjmhBsOT 5t+yMBxsZhswfF0T90JUEwFsXduNDkhTQCQ46loG4rczxr4Dqi/psMmzeuRV YhPMvCgyftJC/J/9tgVnv/2Xs9/2qw1XatdigEfNRNDLuWYQyiFaN6uS4WX9 E6pvPREUJY7p/Vamwu5lEr4FYixQ2s4ni9n7T3fbY/aagrUHMfuawTS791p0 6LS0ns5ubYCLmsKVijkE8OGmTC51wEPv4UMDFnok2HGgyHviMhOO3lN5/g3x loK2lG+CKK8yXO608qG8Giu5aiDRjgO1Uh7rCzPNEGvrNZK2lAnmut9+SKnR oXiovOd5RQOIe3hU7XlBALjXnYL5+RPY8xfzk8r/uAfzE3z+ZGD2OQJE79Hf rlNAhkN5EX9fFzLhlonSO6xOrX/F+2F1+nLFqfNYnRpUpplJ1RFBrxQvF65E haWhnlLH0OdVV7wy/MOFAU+/ZY7ubMCD1fCV8nhPMsSL4W5c3zUIjS7r6H6N NaBpkWRfsBrV5ZrT0gdQfO6I7LcxR/cvEpG14UPxES6++xbz32AVeRfzv/vo Gh3Mf637bU8eDzRnhT5xC/RS4d1fJaUypCM0R7vrJQMZkDEY/f6XNAF+/Yv/ 8QPpXYnPPGv5UhjgSXOuG8onQLwpZY1YOZrj4jeNsXO1OyKmsXPLwmLCsXPN f6U934fifofYh5N6Q4VKfXJC3w4WpGh/TsV46ceXUWVbES+t+azZvxPx0qWs 6zbLfpBQPVrF7kRzYqC672OIK+LzlBV6fxB/1g2bkZVA/PnuFj4IQfzZ0iXg gKLGIOQLvNH3VBuBT1upzg8PTYB2u99OAV06pNxV8MEPN4CF5djynk8EyCBH fwp2w0NP9oX4uCMk8N92xLjZiwldj9/5xyJeujDvoCuIeGn84bc2yxEvZcx8 ndQk06FExeHsxRM46PmrazRiieYdB29QWsSn5xbxZZaGl/kpDBhfUayje4sI YXMF/uJLUB2rNXsUrhuC5pmlYVJIX0bwfKyyRnr7swp3ZHIOGbb+4z55IasF JF/1xIyksiDit7slS5MO7ReWPYigNsD7nR6N0tkEeHJgtW4LmgOenVOk8Fgq BBV67G7fzgIQsdF2jSSCGe+nbJNxCrzR1lTp4mFBda4tG8+pLmXjba8X8Yrf VqteSSL+86/5lGl8M1S8eedgj/TtfT1TNu4nnsvG6a9esfEHORe2bqTiwT52 g7+TOOI9xbbvxR4iHeRdbKnvTIf3H2TGBhMaod/21ckXqsT/xDX0Ludida3/ lH8dVtcrDtVdxOqazKmXEU69OHDq5e7r2WAsnpMblEOxeGoVX4nC4vmX02e0 OX2GJ3Wxz1hy6vQzp06lOXX6sdh6V9YRPGzd0Ev9sZEE+9RnQw+6MyGCg5PW L+I7OPiJvhQPfhoROj7Z/LXdSYUNe2xkFdazQPLGjJ7YLgb8Ib7ydhLGQ/eD 4B4q0glyrhns/Lm97Cg7f3A3Mtj503JVXfC4OzrXrcXxrA0J/BiU5zxXEB9Y LU44j/IzKLZmxnC0AVqdRapJpQQgIJ6KvVep9zV7Dnuv0m8Flwz2XmVqwY/H IS8ZIGr6vcfgMwHGBWM7S6rJcH5FTcaxfhLkv9/iHHqMBhW/TDZNId5iehQf z0PGw7sePectqF4E7hUrh6F6ue2slOyA6s5Q2v2BEaq7VPcUpgmqO/1zB0QJ mmSw9XcmKgzRYHVlqtTzcBasfxlm2hNHh97m07LRrk1Q0L0yLCafCEYPBrma 34yCUtOhOPtQFvzCR126b8qCBhOTP7m/xyBiPVN0Tz3S58erllfuZEKmcuJV qTY6HC6qnJq4goMmk17RqjMkYO257WiEnlfmqlPb9SobQGadfHkael7lCtcI 7cvIsHlsQOn0TRpsd/Df8fsyC9ae853CvrfHf71GP/a9PUfuz1/FvrfnwKZF /xejFv2nqy36P2f4ZV5wHg8M380x3wzJYFG7XfbeMyZYpOooh97Agyrzwoz4 dRLoNpz5YODHhNPRf/lT9AgQc2juUXg44lkaDdu2ZjGBv/iu/esoOugdMPk+ daQJLMXXGSekozm96c9GXaS7ewKtTtkg3c3DE3dfDunuPfmLvNHi2SJvfPx/ KPvycCjfL25ESYjIlhShaNNqK6eSogWtUlmyKxJlKWuRLNmyU5FIKiLZosg2 ltnHvi8zthlCshXe55mZ95/fdX2v93r/PdeZz3Pu+3nucz7n3Pd9povFG0PX sXjjwmQCkzfmUvcyeWPeQ74E9H3BgA/zfaU8rme+L+2GFWbd4MzrDGbdIGi/ NbNu4Jc88Ap9jwYfdJ6j71G7rH8MfY9FjwZ3o35V0+lgF5rv36/O/4Dm+9Hs +xr32Pc1Itn3NYbm/jUIW9bDZvkfw7SBOphUr7u3/vUYRPi/fWCzjwrEyGPr ROswSH5XK3zzHQ74r4a28qoNgkv9Up7ejyroH9co38rXCK/l954ZejgIr/Ww PUaEatj3CQip3xqhoEFVrl8OD6JhQuPK3iQwwVe85BujA5+bGlMurS3MlCss seTHjrrulfXFwWORP0X7CGg+Zqd++TsdmudTmHWksSIqs47EH2zPrCMdfvD7 ifknKpBuf4gbqqmH9MSEG8NIXm77Ra1j+SjyHd3fcXk5mAjYXIOjoch71P23 ziMfiU9W3hEGwxZ4qHbre7x8kQ6/eeZlXfAkoL8Ke+l/owVWclLFgrAMOD63 ab+s/xAUJX1u1Ygkgf4qzS029uT/7CfQWeocXu3WAK6lKhHFuxrhgzBZ1Wh0 7D/rAA8KMqmr+aiwJVTEpl0eA6eD1ZLake+vtA6zfjuShxZ9Gk+VQ/JQbyFO j3tIHipgH3b3IJJX3v2m0FH4lggX7yc92Y7kleVBP85d+IKDLdorf6N5SKC+ UcVYv5EOen58B06do4Jx721tb9U6uDwqOGQ2gYP5fVNTyQlYKEi6xRX5lQCt GjwPLHzoIFngf6Z8Dw1amvIrzQYaYW/gacM3ikRQuhq7o70IDyQj7VmnTWTY 3+RcX7SBATpFR06g+vd2Wqai+q9NVHRQ/YuyqsIzOBL4p1Pyaq63AM9B8nVX ZD5zmjMfh9ci8+x0XPCNQQtkXU+eu9HIgArrNeUozz8oHaWI8vy+Y0NhKM+v tGPVbWZMWHUbH3bdxvHUNq9Yej9s/1P6YlNxGUy+PnX1WAQGwt4fdtgnQYWf XC1N0WYY0Mi5XkCwwMF9tarEc4g8zu+lH7c5BkJ25wRLWOIAc2NU6ADiT0qF blmUf6bAtRRbRiriT7DipHo7QyzwNG4pUthEgOYukciPt+kQxV4XHex18YS9 LrY4clsrzw9AkNvS7OOCSpDvjFq9aNoAzoeb7p1G/NKxcy5cr+43ANVLKV7F nAAbtxV2OSLPPT7ldeEI4sfkDp3j/Yk810mBpV/Gw9I3MGDp5ypqhCTfwoIy pu5fLhBgYVVPuYkTHf4Ecm6FQRzgfwh0Rqij/ZGjoz600UGIWtr8FpEXlj7o WETkh2NNhGsR+fuNLP27p1j6DF6W/rqjPxaeHcDBrRCn/X0+iN9N0q36/J4O uU9ZOC5GLBxnTxbOz7LTVCf7Aej2LebEWVcAh4Nkm19fHVimVU+otWOh975u yTgSDwfDBNasiUTyTTHDiE/6SH41KhqX6l4N+zdslMzlH0Pe064ud6k6JM9f qsvaUQv6Maczr5wcA6Mbuzbt7aiD2fnmGt4KDOSVvR/N8RiD0BiTeMIl5L2e U+8MeVINEzjOXeKCY/DheMi3KR4McJ/w4hDrroLVXSeVmuZHIWxpf9if8lo4 vk7F3Vy3CoQdlMSKaaP/ac9/4Xefecporu8Hz5slHXqppTDp8jubeBADExOV KYpn+uGjhWRmsncRbJ/u/pDZUwP5E8liTeIDsFBQ92xG8Qc4mOkEEXnqQNT8 z2S9wwBktX49+OV+BXybjNjjNVoHfutXygrLBuCG56wsX/lPaBov988qrwct lzbDeckBOFUgtrFQ7Qc8Fah4E7auDskvedcetqVCYpzofqVMZP54CtvDD+OB O+b3gzJcPYgr9K88R/whLwfx9d7SMdDNCK+Pj66FmalD+VJjlRD/TJWQ1D4K ds0mnLc7CNCzhZtTwZACHfKKTYIWDAgZlry95hIWQrbrFxRuJYCr8WK2BcKL XvXZbz30igqe0zWGq57VQ9P5rb+PYfBg2rBVAZWbOFywQuVKfpUrqNy89qLi j+s4kHP5Kxn8ngieHRnFVvl0uGGZ2FNjQIW2fTMOyzp18MAgnb9iDgdlB1h8 4G7/DSYfaPq3jckHWsQnrH8pjgKH7palLr5OMI61+bd7Zxv8iTeykRUbgb4n 6ZVnVVsh6v0R+rG2ZlgwVPnnuRXB0eQ69/sxBqoSlRLWPMRB2E+Dvml6G8j0 t0Rjg/tg/iKf0OHOcTiZLMN5f7oTHI2aXvA/GgBPuTPL9yQmoPHhM6H3/C1A t9jgPFDeBQ33BCamHMeh6MOpR97W9aBz90km30gd8P9tyChG4uZ7da2wttc4 GGB0raJOEsHMs0trqQaJOy6hTL+tk76N6bf5xhKZfttyoMHDQwrJW7c/nuO2 x0BsQpPMmB0OLkqZMeuK62v/haN1RQxpgFlXdLIOu51YQgWVU1YXi/7VA5/G 14UrIgQIzUlmnjNPkk9nnjPfY0tgnjPfse4FCCH8RtI3bf8cgww9JzzdonSR PPr9rxCFfALwyGrRHRQpkLCwPHfFiAF/U82E0HPpR39BI3ou3aa+gnkuvTrK kGvOjwZaxJ+9aqo40NbLMmuIIUKNx3pu/3ga0G/J1uTFIPl2bNgGjnyEt2o5 bkHfO3zO3IC+94HqqkL0vWf4ZM3Ly2JhPkhrb1EhHjhELD9UmdDBfu2YYPIv EhimZMh6hLWA19yqSFcSAyZlEtwaQ0bh03SWzqkHDNj6vtyMhoxrdPnU8L1k JO4l6nkMBjOA+8XlPFm032OFrPZJuRFQflykONVCB0yMpq391nGwZs/zIHue X7Lnuep6zncTZF5XhD5kvlQkQ6WxP2f8RgYEHApqwPwZAJ7noomvP1bCsld4 bey1BvgnxJ2uHIiHSQs+08whEpyoC/ityMOAtuCPo5W9NDiXdaZdtQIPz+1y +fAiJHDL24VTVyFChMbQn+c9FDgu8/XU+0Ak3rXfv5CciAO3vZV8l+hEgKcm 3BHVdGiUfHxTHclTzc8P314UIEGfbcBqdxwd4k+m0i53IfEuNVM9Q70Mee8X pW/ZYCCQbed6tp083iw7J04FXreXQOS6UfINO3/AitX3p+Zr6mC3U/xcGxI3 A6p/ip/9VgaP8ZU7/yBx8xzbP/xj+4cEtn8Yso7sMbxVA+9HvY/qm1XA1rSJ wIWnCO9vmSoHuUFwsrTsmLesAnVN4odyQsN/+kltb2zvJp1ByD0xcsd7pgok Ctz6lHY3gjfeu+S6bAMo+2Gearg3wKO7Stnc5DEg06UD3Frw0P3eK31Wkwxp FRx4kU0I3+ALffNEkwZfozM36YljoYGHX6oU7av+H/KI5yIHLmvhIK1gG6dx CBHS36iGpiE88GHxt2NrEfk68SHztYh8ld8F0XBE7q4k4HQU5fO7r6nbIHze 92yI+F6Ez8tcf8NcdwqcRcx1N5I/ylx3d0gDJheqqUBW2tWtqNQAxt0jXOtV CJD9HzwnS+Dony+leFjrrmHwbAsZcmx9ZqtFGPCMK7LG6jySd1jo37yeRISH SfIJ5Z+R7+FX/sBrhA82VQpYovnIWzVNOTQf8YnySUD1byY77EL167RbQlH9 F4Y6VunxVKi61k6adKoH0+ZufqNiPPS073BC85eduqYaM0j+EsN/9QGav/wq Hn2A6heltYpNIfq7I9zUUf00Np//wubzWmw+XxXn6PMkZAQgy6XvLjcD9moa G8UPM+BHawWTf3IXcf5D+WdiIYt/VmJfMuvYwSkbmHXsT00PmHXsbO6rqvve YMGo04yBrSWAHfGfwzc/hF/RngrK/EbyoM37y+5pEKHnwTo5yXg6xMoIXe5A 4kX6dvzRS6fqwOjMy95ZJF5Eb42q5HShAs5dtmiMUgfRNI0+r0t4SEg/yawX JW7T2IbWi85WSzHrRQ13PZl1J4rqnVK07nRC0q0PrTt1VS3yPHzbCBU5x1ey P+Lg03gVx31NOoRozfpcqkTrHyH98ZgmsPBYpZGbzoDCuxs/rbxth6Ypyi4n 0X7wDwj8FjE7DuP7GxMumrfBi0LOc6lb++DG94233GrHoS3N777anVHQ23s4 V5CjC/YdfXJcoqINggJGvu9xGIPCKkbUuQd94NryW/XUmi6YnSBfcu0chv6H aTWvrVrgyy1n3/PXmoGv6UHC8SuDEFutO2l3bgQ2Srg5X9SZACO1OPHAn/1g xCHHoUMcAuWnJAec+QT8CBjmy3ekga7SxjipNWPg4abhb/RnHBxSO0cSyxhA m6vMOGxDB6v1T/xbioaBR8K80RgYYDhsUvXoPANW4buzT50dBalCYZ3MXgZ8 /zj9/KHnGEz+cKamPR6C8GC/LWaHGfBcW0+l8BENwgusf55P7gfzj9O8grkM 6DZOdj/2chje+4euveI6+J/6tkQ9H6cSOqS/X9K+1DAIf8SyKsNP9kHqWCnJ ctU4NC+N47uFR+Gt9NO6eWQdFtics6rkJ0Jr3msblWgKzJj7TOvdZ4DG55ZN 54QawO1CDe+/iw0gT7144yZuDD5dDblpNlkHmJvEF3t+YeDa9S3j333GAG8i 1icl2QjyoVsiPjzFwl3c+64PG+lgcaG422L1MMjEZOoF2yJ5Aa9Q59tnFPhw Vra7jEAD8ygvoQZvPKxyTei8skwER0ORKxF5gyAhy9cuXlgDypftjOoMsOAR IxG8qDsIXqI8lkHc1fAmfzw6SLURFo6dHKXwjYOO3ZLF4QOjMHK02Xga4f3V fxYn1FQocMVKn+PRvTboCccFSnGOw9vHUonqr4dgsvfhOnsuOtS35lhPYsb/ 87nEjcp+16Sp8Ouh7qrGexgk/l9xn3RE1ufU7xYfhUZQ1s+MWk7BglXqlUV+ STq8POx2K10B+V2zM0YHiV8C9Pb1y6Z0OF6+9ViH9jDsW69frXWyCVyj7Q9/ FmgCDusDNYk+jZBzQpV02QQHRydWYm7to8Mbx5J7i6sIcPuOmMBFBzKEPtS0 fbydAd4XhAoc1bCA6z8zrzKCh+xrdO0tVsj7/ijmtlueCuNalpMnojCAebbz 8PgTHPicMC34m9IAD2Kkb50LaIQ2p0OQMDMGb158WrJF/LrYS99e/DgFDDoJ W2JCGCB9uydj/DARrv7gGG1gUODIunaDC4iceutWVyLCEyTtVsyaEJ7wJVaP i3p8DAJiO9W9IxvgBvnUFnPLRuBtNd1rMonw/BOXC6WWeyDNePDEKnUqfJ18 9OPFoQkoKTpo2i8wCBlnqxcfC48AJraqcNZg4j/ziwKu6qVpRB609dHqG4g8 /Mk+yyJEHmB2q+kSEsfpj0XMXyJxfNs/iWOmSBwX/Xvi1xVEPp4l15SNyFt7 FamWiHzATorJwy00DJg8HOPF4uFr2Dx/M5vnr2Xz/ED2uMz/Z1zmLTWHRIcG YU0/aRU5ohai9odOBHRh4e/nltx79wdBM6gyOvJrNTz2nn91IasR3F6u5vZJ R/LWnbXPD2fUw9WEx0a1HXhIWjxgiJ6TsbfzKETPybzPcd2OnpORKhJ1VHXA wf4Q8w+SCF/85HRUWbmYDgnqKc/Q8zMlJQbV6PkZ8fUrX9DzM//FH2bZ9mxn 2/OAbc9/5UfenB83ulQgeSj2Wd4T/E/gMiLGZNXX/2f+qG1ini83WAcXpTOk BSkY8FdeebsV8WcHdm/CztYMwOSZU8aWtJ8QOfdB+35bPaRaRIih+GlxGgUo fsSVg/Eo/n/5E/mwI3ko/i1RSQkU3y3Wnok/UBBpP3uVCM6i9RXtCk2QrsDT XxrDgMXeYjJpjgY5fwtquNQIwLW76lQCkmdHbV0JRfOIiOFgLjSPGDB+yswj roxj7ocX46A7q6bjID8JLN+1P+BC+OGzuQkxjxocLPp29jEkEbmrz4ZgIh0u vORwRfXDeoS7UH3fNXtdUf2+UAWThFdYcBf119xRTgBzo46/P3zp0D3Y7JZf T4XlTdzcHtAAZxNsfnlqEaCbfb5FkH2+ZZB9vmX1q01JGwwx8OQD/63ER9VQ v9zcJSwwBr9CHtQCNxFSDPm3bnpMAZ8bT1XS7zLgkkWvrEQpDcIiXx4/tAMP BvnhfNkDRGhwMzhVHF4DIv/0XevKKyA2KO2q2YtRGPUzYp4P59I7yDwfvpmz jnk+PHJfja//diJ0rl7qXIulQNT6gTNDj5E8wFDfSNSkHzKHK46GSRVD6e13 XebCteB0JumibxsNgtPFY6XS8DB2c6PLBj5knpzqC5a1adAjHNfhqoGFU3pj lpLaRIh+wJCRUSdCvcTjVucpCpQc77D0D2XA8eELgqg8WUP9KypX4qi/jsqt M3v9im8QQa9hCsuN9tMP7R+8F8sAvtGatbcKCACd9yWwOyjQx/DhnkbyrP87 P6//Z34i2OPq+J9xaegVDtDXEcGWcCfJLooCjyRwuCYXBjjPXWLKadSkRFS+ 0TaeKX+1kHTSOYEGlIJSr7AEHLgcPnwOviK8cvwdc/7f+X85hs6/u6A2c/5r fX4wz+eTVc52oOfzhfkKmOfz9zz0Y85b7stPMei83amZdkbnbUf9M4z3Txp4 afy7/e0EHj4ffKUNSB5jvTOMKVd9vuEOKr9yJ50pF2rJ6dg1TIOsS+GbZnrw EHR5hef7ZhLYL34oj12gweXft4/nniTAD6waxfkoCarJh0iofuiK7sxvRF9G QX+hDNH/r7zmv77Du5OTK3uR9eTz1/r4+0fN0NG8Z8G4kAFm0e9CML1UoGKX i1eSGuCb+J2ZjIcEiKm3fEEcw8Nidti/2AtkZD6LHdO2MkD8ciwPWv+8TRch ofVPt5OD5Wj9c98x/gLHRRzsWtk3q3KRBHYuY6tXeuhwBpMmlzyL8NjwtBcK WkR4HFq+xJ9Ah6OWIpvEV4hQEOVyUW5bM0i4JVGKspG85k6CEd61AXCuPRbZ yo3Qt3bNksjoGMCzmSYFcSJQf4mbaGdR4Gm7qt6sBxLv2PJEttyFLbemGK3t aKBBq29pUJA9HvgfZ9Dr54gQxD4XN3KFdS7uNPtc3EGxlN2ickOwL21ZsfwA EXozJnIrYklQcXb1alHNITinPXbMP4wIuy2aLupgScC3e9s51eNDYBAopxP2 lgh3pQrome0kiBPWUBPcPwRC3X7mmx0RuxL0dyQUk+Cn19Te+nwyvAi667Oq oBXe0/flvpxgQLD1fZpq2xAMndgdV/mTDB9Pj138I0eB0wePMIbbh8CxW7eP hCGD7heFR28VKYBn+wdptn+IY/uHWwben4ay8OAwJxX+mp8MefcDOkYEGdAq GYqZ2EGDa9xz3ScbGmH9HafRFnR/V4yl71/K0j9nxdKnkFnz5uXNmjc9P9a8 BTC6miOoNGhKr4iSacLDyQ6NN0ekSCBsqvSinEYDgfCnlWvb8fB7jCeBsokE eRbuyyg/uRexpx/lJ2qvtLai/AT7oDQS1U9OSihD9RMyNsWh+nbmWzN0rtIg Y5e4umYgFgQFvz+NQ/yIUYiv56A8DdR7Dnb6lTSCWKfDzzuSRMiXStY/kIqH aOHebYZcZNj/frHyBD8DRiPqQ48qEeFpwA/FAgIFLH+GfGlF/KRrnwcTZ5eW JBPHadySiWNGG/8h/ZcGOnkCe98bEOC79Gu/2mMkaH/0DgMSQ+C5NeL+fSFk 3XpvWTL0IwHnwwMXykSH4FoJpaR5FcK79+xxy/QggYji6fWHQ5D1oLs355Zb K5wQ1pBwGmEAxluL9gvxJzHBelEb3uPhz2YLXQ4k/uSy7Y9g27+PbX/kkQlx QsQQ3NYb9PGfHYO31PRUsYZxKNd7W6O0kwqh0oe+quVg4F7OGuuMWBzE4Y89 f0fvh43z1/mzistAfiF1/d0IDNj9EGK+d5uqv53oe//9sHEEfe//FRecR4qZ /rmJz4bpn5fMPJn+2c1WUa5hdgDSXdSScJ8r4X3R0PozNxpA7LVwwEb0fsS1 ex1rgxjw6GRV0SFtBji6t9RgNMbgik5Ax4afSD5/osB8/i8d4qseXUwVRHjB 9XExPLLO47Tk09aKMsCL9BM7Fj0Gc98qfs8j+fPN721HLZB8+eWznJlqCTos mYYf4P/GAB/byPbx1XSI0CyXIKYg/p58WpAT4dPbpGMOJReOQNPPSH7ly0ge 90+Hl6DDgGil7xsndo7C8fYFvI4MA5rTvqV/NGaAbIVAh7j3KEjz6ejdD8WB Tu27H7pdRPgaYO2WV4Hwyeujxj8cBoBX8vSOJ2hd2iR3i8kowm96JJl9CDmt +Zl9CLNuODP7EB5cM41L6ifCq8WZtsLZJmh1eiN7NQuJUz0thDJBEuy+/ZD2 VaMZQibdN65D8sCv5jJuU4i8JsPxMLdmM9QbmI1sQOQTRm2rlBF5xp475a3q zbDqxvLJP58ZkLKahV+2wML/ycbP7GThn7Vh4e9g45teYeE0KLNw3lxn4RhY XV53YucQbDeI6/96mQi/v55Xr8lC/N8AXyXHkSGwvuF0vjmSCMc3v4vTw5Pg xZLe2QbE7x2XxZcJI/KWmNdEMo4EB21ZOCHGLJwTpSycHTQWTqk1CydoGwtH Gp97RhSRj7rZOG+KQuI2bWrvA0Ruz3GGie++k4W/NpmF/+pk4wDaXzF4oFMZ 7a/YYDDfg/ZXTPX/0nqslwAnBXlV9K5QoJw2J3HLElnXfIc7dhcTIF3uV1bN TgpcquIpL7jGgDOfZDc2cuBht8464ZlrJEi9yfWrtI8OZ5dOjqbUY+Gh+X6b G4LIeD+LF1eH0iEujoVvJ8fCHx9j4X8K7Dp/MIYAvKEYmTAeCjgNcfEP6iNx ip/13Ch51nPJ7OcKnf98eigL8beHz8Qy+nDQOeCs9LaRCOe/V319GUKDFrNJ F1UzHPRvX3AsekMEfeXLUi8TaUBVd7pp9QoHHrXrvhAKiCDCxrFg4/Swce7s YOmL7GfpT1Wx9ONWa+HuDlBBIYBStJLRAK6XYvdW+hFgw74L9wvMqXCvqvPG wed1YIURUJNTQPJ13HESqk8z8qhD9a96Gmmg+hFl4ikDtlQQz6rPmcmqg2sj QVdM1PBAWOB3R3EStl29g+JUca8/geIYzMU+E1iNgb27Totc6K4CS9ukis75 Udh8fuv6m1J10KG3v/DujlqY4p1er39yDBIrFIrRfbHvYcd80X2xmkfb5ldH 0oFbseVIXg4ZhjMokkbZrdCevZHeMY7Mf0xv2K9vZBDg9ZmoK2+FPbvNP3/6 xQDehNsydJsBKDRd+HvjRgU8xzxe87O9Dq600V+FLfRD5Lq/LyZ2fgf/wL1W n79iIO1Z1YmT8TT4rBKanB2Ng/ybx5c+fiHC5+jPK+RCGuxVufjwsRgeUi5f s5pB/IHM69IklUoaEK0nqlN08JAo/ah7D4MIXf64Leh+0+3TnpHoftOGraVi EYfxUMVxKVXbjAr3s+L2qgYi8tkVFW1ZPHide3FJRpEKS45P6vQTMTAK8Z+2 BuEgsof7JGpPwM3yVNSe6tFfy6g9298LM59r1bi7En3uAcu4LvS5pC8R/44s E8DkXdyLg24UeFN9YqXlDgNUpBTE0ftiMk3fNuAUKFA3v2UQvS82tFnM+zii 73tgww11RD9fbVa9DdGfo5dZo/Wi3Ipse7ReZPbm9G+0XiSfPrAOXS8SD9TW oOtFYq0XA10vE4v0e1WDWHBd61q4VZkIyp03uodf0KHXvm8IXUei4ZmW6DpS vnOvCF1HMnDzwQbEr3p3CvT0dyLxtfELTzziVwPZ9b18dn3PmV3fG54uQngu Fd70uhRxLWIg21koK60WB6qcsfKf7JB8O2lnIW4CySOXdSTiU8bAmR2PItnx KJkdj7TaJBa36uHA3sfchhxLBN2OloexOXRQVukUupGH5HG/ajxDOupBId+d qLWEBw0Rlp2dn1h2Wpaz7MyWZ+nfqmDpm8aw9J/W7qe+AuR35rs58pNJ0GT+ wmZwig5tvlX5Kf+oIF1IEY/Z0AgBxHTPqVokz5F4yJR3HEsRQ+U773Y/QuW1 xwkKUUl1MKn890inGgYKgxMWDGzHYGOkeszgERIEhp/EaPo1A4F3T/0Qws/l 36lX9lIHgJ5z5c8z60pw3PGo+fTOBohX/PUnE/HDP3Rbm+WQfFoSL+r59gMJ eqp/X71LJYKC4+32+cUm2Nzs++4nEi90OLs3FMUQobhR5Xb/kybYgtHaOPqK AUFz6V76u4ZAr2NTvcc1IgiIyr0V/ESCJ8UHf34XGwKpRFGjtUheFcR4sH2N Nwn8tsiKlgoOwWnXZ62hXQTgD/AVi7hDgksNrOeaurKey2A/l1B5+JT+ByJo PCmVtnvbBK9IUvdk3jCAIcSy59wgyx6XepY9ivMse/y6WPZYb2TZQ5ZhPdfy Huu5kU9Yz12lq3IHt4UIBttO7M8spcBkVqVmrjeS960l5AYj/FF6N/fpH7ua wN6M55c9kodqBj8qRuXrdr+4iMoPbVeaROWndI8U30N4f/HtwbBbNApsuvsg 2x7hNUEaRsFn5Iiw5uaapckKCuz6+leZ35cBagc2MmJ3EuHswXO9uU0Iz1RR itoSwICRs3c4j24iAp4U6TGTRwFeoYzt+z0ZcE3/KBM/Np7GxFdfYuFPl7Pw A9x5mfhrllj4EbpiTPykx/pM/DYMC3/YmoXPvzaKia8pw8Ifrz4r6DxAgyml GfPLjQiv5txxy1qcBKcSVmLkm2jAM2KgLhCJh+e3n7UdQfKeRTUxT2onDV6/ iWvenYuHW+KpK68R3nBSGbNdG4/kTUk/Dn5yx8NV8x+YG/8QO3JZ+DnNv5n4 N4e2M/Er1JeZ+D0aZ5j4tJinTPwDdFEmfr96FBNf6dprJv5IcQ0TPz6lmInv 4lzGxE/JTbAMQPJf0ciAuANI/vt+MW/uLJL/0nq9rFH5y0LJdFSe20f6i8qD 19porxsnAbGEf8/L4BawWSUnLUpiQJOyXjK6jmbzh0noOlr/TqMBXUfSklGv eM8R4dSXXYMWG5tA5m62jHQ0A6Yo+7BVv2kQKLDpKFWKAFZz8tEVKiSwNo9g 6htJKTP1U3ex9O2SWfoB7pJMfUkvlr7vn0kxYa4BsJwKMn3q8h3idNfV+TZi 4LesmUbiISLwKc9EzI1SwHN4yTY+GMFZIjX546hgSakvPm3QAAu8o5e/6hIg z9sn5OwCkidu3hr/bXMbPOYMnJ+cZ4B/tec6S/462NkuuPoHXy0cj0y45n1s DPo1q+ikw4NwRMWw6FhJFZRqXonsXd0IJcEetqIr9fB6rPuIzZ4GEDEzJL2v GwPiV3MJpcNDoBs5XdfhSQSx2s7+0J8kEDvXbadHRJ771u/w795WSOp6xmib ZsA7JZGRhoEhGO+SLPk2TIblygsF3BoU6PhKINq+xQEOs21H2R8ibNsSN6+J oYNqjhEJlXtqfWXK/0ApU06K4qwJ1CWC65NoPSmhJqD8Sf8S94IB5z525bhN 08B0onIpVJgAovNXt47tJgH2ofE6v1IqTPf9K0ngbgCVJFvOuxIE8JdYqUZx LOsimDiF8SyczDgWjux1Fo5wIwvnejWVD8V5xSdZjOKQO/ZwoDgaM80WdxIJ 8CvpR7j4Ogooh/omGBgy4NfxtW28pQTQ5LY9i99DgaNDkde8kbzht4Bjigri d+oSr3PyXkTWtVT2bIgF8l19euev5oaHScEhs8JmErysmDfAcjCg9sCOU5Yi NPhjuu7a73uN8EO1cXCekwjPIsMzsxTx8P516NjexyToF+fYIEKnw9o2RZ5P r7BAju1euVBOgNuruoyrfenwWlP0bP1z5Pts/NivYYeD9R1b9rxJR3hjGN/1 lPc04A/eq/WmE4m3cg5bxusRXp945+51fSrk1Ut+23SsDlxlnOWmf+NAOH2/ OTpeQdmpUHS8aQqYeHS8Cc08Gei4ZprPrUHHVXPp4Dw6rrzMUeY96yWDNcx7 1qv91Zn3rDOl1jP3hQU1zZn7wk2+Ecx94YCh28znEvvFmM9NOerEfK5PwbHM W4h8x+/qD+qInOqB9+KZwUFIeY8uOq6Rh/5t6Li49yjvRMfV0zrdhk2igd8f mbJLaTjIPTfDZVdEBCXn39fQ8Z5x+qCOjtdGeXYzOt7YLxnM++OiR9yZ98e7 +lOZ98fvlBUx97XP0AeY+9qWnw2Z+9pnr0sw673P19ky672bv7cw6723g5s+ ZyHyjMw0vvOI/IlGZWEVIi+I4zMRJtNAwVB61uUZHhodxje6cpJgA72ql3N6 CLTqorxvylDAt0K0av8NCox9GWLug4ceO8LcB8/U/s3cB5fvEXV9moeH7+Ov 5YpEyXB7d/zTJSHGf/oH98Dab0epNNCdvry3gYwH/+5nr/GSyPfi/vi22jQV dnln/XEZboB39/4lCX0kQMkHX/1acxxgzTs+TOUQQbO96QZfAR0YqYmtxSlU 2Ec0n3GKqod3b8wnlnB4aGP3Awlh9wOxZ/cD6dvrSVEOHIRg77pnB7hq4M8b zTi/zkZ4IjhTZ3aACs0fTBZPEDGw/Lfg8LuPOKhqbVg7mz8Im9p61fgramCK 52es6lUsiDRNGJ76MAguBbvFqPE14DDVkXziCBa6nrLGVfOLNa78Lta4BFYV HegXpwJBTET7tCkG5l2Uvs/fwsExvpL7e0vxMLCaFP9Xhgy+vZyCb0SQeGdb 7bRNBfEbJn3q8iONcEh9xtdnBxGkbFV53osRQAVPV1b2I8Nr35o1ybsY4Hsk h1kHzo9Y543WgXfwGDLrwPN0gva3wX74+9WJPOdWBgPXnEn7H2Fg21XllG/f GLAcXX6jwoUOf98ZbLCrG4ZyyvNaPiTPvv1JsfvCNzrAbXn/v4ojIHOR1Yck 9wmrD0l2N6sPSe4gex9/E2sf/wZ7H/+cC6sPidMEqw/JUhKrD0npNtY+/kAA ax9/zQRrH9/nyK99NYg/ETzFdzbYpRGSaHvEvbiI8DzGLv9ALxVEpB3ISQkN YPp0V52kBwF0D/VcuDRIhc93vonmZzXAiNHRMEV/Ary6QcxYcCWA7ETSeSca Gag/KItvTjFg90qJP5cPDbirQ3PnlXGQEmxQ24Tk5YQme28uDRLIaUbdoHk2 w6v03GMPkXjanGFM2veWCpIRq0yaU+qBWOogf64VD//IkuBpQoVBYfM9FJ86 uNo2o+oljYftWem5rjeoIHsuN9zZrQ5U10kYCIvjIXT0YzuK4zbzxBfFuXqi RAPF2S4jWYzqP1FMyEb1X+/dYInqRx7MXWxXQ/je1Tr+/kkK7JR02m0ayoDv 9kNCM0M0wL8Ky+HtwcPW/hu/7m0mQZhLSGHLKhrsNy895K3SCOunb8yd6iBA cw4LZ/P1eibO5A0Wjs1VFk7qeRbOYQwLR6LkzbxpQzdUMnZtTggahKypcTkR 5Ql4o6bwmGGIh8eJXUfEckgwNcbY92qWDlv2Ttn338TCSf701IxDBBgc4rgo chfJm+KXkvhlG8Gg+sx8aBwWDlCad7eI04HXAjuIiR6G4fLUSS3LZvikm/5w qbQJlNomah4V18Ob82OyFgn1IFI2Wn6rYAziRgXipexxoJ15VrQR8Y+bdAXi DIvo4BD1PZ73OxbCya7NixxEKGn6FHM5iA4ztxc/ofoDL+J2ovrfGte+RPXj dknvHfiJhaP+QVOyq4nw6x9nUmYwHf4dtitEcdRS+GZRHLVH/K9QnP86n/Bf /cx9Hg91qkmQYIHTqWxZtxk6yopo9/MYoOu+tRWV07i0ClB5zTYuprxiUjkJ dmBh8H1aMKEGD74JVfDVjA63bjuGo/cchVR7fqL3HF2L8P7oPUfD1DdvKMh7 1Msrj6Ag7/F12mLBdeQ9mmzv65TRIUKnqh7Xb74mwFnyOQkjPOHzmy3PAwB5 79Y1uutWKBCMuavAFcEAfc7gFAW9RuB9WNJQTseC/OffIvVydKgzkIpH8XX9 zB+i+AFfNXJR/NDwal8U5+CpgD0ozqLNZxkU50P+zu8TyPdDejGXMN2Nh73z Clh75PvJGMYT90zR4IOTyR5nXgIUfrmXr7CTBI5fLcefMGiQ2PrPTuQPHlal kswG5Ulw64JlEYrzy2zZD8XZ5WpTjeLITY3SUX2hyh4LVN/zYasJqi/ie+Vj UDIO8ty49puNE4FDzfnbxho6HHC7XrUHjwWHI7ZSB0SIsLF+1ZVVYUhcs+jb YIzIb7moCJojcue4xAFBRO621dL0CiK3VPWUuYnI38a87BVA5Ge57D6h+E83 Kx5A8Wm7ypj4vT7m1Sj+8Tfem1D8L1fOMvGjVKRFUXzKnO96FP8z6RcT3zHl mBmKHxdiswXFj13fzsRf3P1ySrWYCiaeipNLs/VQGytTnbaeADbCmmPJFlRY G0LauDGmDnjiAgjqynjoJ/SEZSPy0DzVw6aI3GHdflF7RC695SbXJ/T/FHLC 8UaInItxZdIKkRNtXjPxY/L2MvElQ+SZ+HcP2jDxGaYBYij+pT3zTHzZm9zh KH7PdQoTPzUrjolfOBDCxFcKMySg+KlHKEx8yiDJM20NAeR0NYIP3iODkAgs ++1AeGnMk0tHkTzhSnnNj3l/MtQFcjyO3c2AsLpwHxsNAkT/6Z7e9o4MuEdW iSaHGUD5y3WPyxDhsV56LScdsIhfS3fefwnxw/mS66uNaOB7mRDn8BwLmlav h+NMiHClW8pulzUNxPf5cnJVY8E7th0T5kSE/Y2suquLA6vuyt/Lqrs+rakQ /IHkcSLBfknRWDyU6iqGYZE8bospqy7d/4ZVl7Zl16UzHo9ZR50bAhM9DT1D LBFWD298ZD9NAttwW82v4wSwjtry/K0VBeQ2hWtcsmUAz853Fx5uJMAI176o ER8y+NQ4musi8XeHf/kB/QwcXBjdOloxR4TeOTKmAskL7K6JHTHTG4KX56c9 WyoQO5VIWs50JE8scTV8Jz0EVS9inh3bSgTitGXBaDAJCIdP2jjUDYCzmeOj 2F8/gR6+4sDXi8Sf81K3/D0G4fNz08CE+moInFAsHy1sBM306L8JZQwo1G/s OGJDB/or86KeomF4yuYzvWw+w/2PxWcSBx8Qvn4eBFxgxhu7nBqwnMmsIJ7B wvufoiYZFCw8ML2xmlOSCBGvwtUfh9OBz5h4E5U7525gyrN/eTLlyst3/g5Y IXHZK/ls4Ks6CLl/XeeyCh4exBUsovLYM5m6qJyS6ayNyjFZNwrQPhs8TZxk tM9Gz45BZp+N0nUhTjUIr9Uf6/m+dK8Zzjg6DVgXMOD9E4LS5xEqtL8pfHsl cRTuM6457lo7ASG7dP0Sfw+CB8f0nV5MLWxae1+rggMHJ17ejBmuaoTu7Yfb 4idx0MDru07/JBIveqXXBBY3wCip0su5uBHcg2Yzz/4dgwELMrM/TIO4BbM/ zJ8CV2Z/GP3De1X2tuHgdkTcJgKSX10UsDmX0UyHvjtPn1vn0KDR8ox5FML7 /xSYfs0iESH/dejczgCE982of5cLRvJlGrUV54HEkWrLDuvdQ7CW0j5qeZMI fy9c73VC4qdfQv19lG+k9QqdR/lG9v0TgPKN+KmFerSv6RmtEu7t94jQb2rm gvY19SjrI+wqqQPei7c4aA8xEI5pfPbRaQy+Kd22C55rgMpd2yOvaiH+5k2Z hR8/HeJzcETTUzjwGtJXpL4gwv3V85lN2XT46sBQDcvCwYGbVo3a/4jg80kq YbSODsecKlOTwxA+Y0kINTpVD20bQ93vv8ID//CpiYuHcLDHKwaP8SOCQ+Ka jbuz6GDzP/12Otn9dvhXvwhOxgxCz3YFuo9wLeSp0rW7Q7Dwyp/Vp879MqtP 3cwLVp+6Yd9cVaGjWLggdkCRbxrh62+XtSyt6aBzjHV+TPU76/zYwiXW+TH3 EVb/urYsVv+61dzLzP51rT3Tm6QVqRCffSleJxED928HlEoFIXHiK+u8mbMV 67zZmlTWebOKWdHzWo4E+IL5YrWjiwzXSwxfwkkG0A77F1YjvHpXOOmdLsKr m2Tvdqch6/qgj++qCYTfIBRyldUbMiSvPy6hcIgBCiURa9F+mA7LOoFoP0xd izJTtB/mGbnlZNNHNHCdm9bv34SDstzDijOhSJxp4ki+cJUGklqZeIdAhDf9 0nz+Dv1f4c7PugaWNCDiRzl1y7Bgt2zlJ+hIBKGivgLfizQY3XO1Os4NC/sD bc8HXSXCsZ3rm73caGDiLO5Yvw4HbjyVKRWBREga7mDid+nvJaP4lVvMw1B8 bYvEQhSntvISBsXxmjHVR3HWF2zmULLoh4bioe/jFkOwJvERb7bxBNj8kz6/ zwwLwT/iDCIQ/72d/9evrwivU2t7JMq5rxG0eAanXIqxEOnx1HWfNB2Srq0p OLS5EWSJXvcsw7HwqCqmsV6MDtqpXiPV6PlcTi8Z6TwSBF2KFrOao0P4G7OZ jzk4UOAqMPmK5JlRFzA+Bg102Fi9YZ0wJw42ejd9OqFHhJDt/AdHkpD8wv+3 xWoeGhzQSpO3O9QIlNem3x50E4BvsfDO/goqVBvLWAtLNEC5x7N13AoEuD38 8xHZnQr7v/t6rGbUgd32oCMbLPGwIv1xI9qPMfQWJQDtx1hz3lUG7ce43ctt P9ofjOT1cgfaH8zj+79CtD9YTL9/PXovVbPUXRa9l3r1kf5B9F5qeSBrXN5D nsxxRZ5jjcvflzWuhe6vzHHp6LLG1fiKNS7by6xxiW1mjQvHHtdH9rhkU1jj kuUuYo4r2Z81roZo1rj0XtS9aKimwS2RsSw7hI8bN8vs+viLCIkqI7LRBUi+ 2bTO/pIwHrqkXxFPdxLhmUjHYFwpDe47dlacQOJ3iLRY/9VBInicTIhEcVYf aU1FcS5IqSihOEk3S5g4Zl/07FCcOFNTJo6i2c0BFCeSI/sbijOfLdaL4tTt zuRZfIcDGj+H87MFxM/4KyUeQvxJyZuOtBQvHHSHnNkchMTTJ6d4+TPKEH4L A3muM1iQC+Bp6tZE4ojnxKwbkic69GvGSz8gQoo+zbPqQhM8PJlbK5TIAKUj eUvuAwSY/v72W/41ChRnOHUdt2IAXWuDQaQ4AYyVn/zZ+pgM1vayrh3IOlUN a7FN4xoCXlUV9eynBOD3f/tr9wUS/Hs76Hz0Iw0GepWPeA7hICAud+Yujghn LVY83yHrhXNeJhf7DAsSXtKnJBA/fYdtz0u2PR5sexTZ9vxi21PEtmeSbY8p 2x4btj1/Mnh6rLcwYCg679FxYyQ///iBx8ZzFALborkkuumQ0tx5IM+ZAXlV 6Q7He/9brvldfrqumQG2a3PpEd/HwDL75pb5tiH4vH+HhkQdA0REZp20JOkw R3bq2nJxGJabVWbQfp7XDu+cRvt5qn0RNUL7eTKClHej/TzDlFboaD9P7ahv d9F+ng3Uq/HoffM4ibMz6H3zKUNcH3rfvIGTx2t6lgD6GarBrncpcOFRklG7 PQNO5S2PCzMIYODQs3XYggK6BU+4+m2Q+JW4PbKARIBLI38daaco8LtG+1qO GQNwbJyLbJyLbBw9Ns7F/8FxW7uaE5NPg+1xlt29a/GQaHdav7eNCHGXPeS1 PiPfs0DNeZE5tM/9mtFGMhFERNn6lSx9khtLf+SHO1OfnlrJ1OfNXs3U9zwY 13gsnQZPr30RCqjHQVUZj/2GaiL4Hu/RqR8mwGnvKI7rphQQ5DWOLLBmAPV2 rolzHgHyC1yfvJKnAA/Wr6fnKgN24sVdn+AIkHfn4AGnExQIPR1eF2TKAMLc bXUUR+eg0W9jBEerdPo5itN06K8WilOe23wLxbl0UqYFxdFJnYpunkfiAAi8 KZBsht5Xs831nxAcfMzEJR4SmGrGTTzb1Qz0wlsyGTmI/6HZWPYdGAKJPQsn Mu8TwaXCvDqyjAQYG9Jqf7Uh2O68ace5ACKkH7WO+FRLghVn3yPLLxF/osFT uSWwHh6ItHZm1+KhyiWF6OlNhaf46t8+q+qBkjIrqOWChwOvWPbEarDsucO2 x7yOZc+nfSx75gpY9qSw7Xm7m2XPTrY9mrYse+pdWPa80WLZo+quFa5xHQcb NiSeWcokwr2NHA3H8ulwjbItM0MQB+uOPLuWa0SEq4rTfq9e0//zXmRy/p+4 qJc9ELbtUo8EJzKO46k14/sm4Ef3fgVzZSos+0yRZz5gIOnnJvHgaBxslTII /D4+COK1qSsxn2vhV3BlEf8UFpb3cT2JlifAA+HJbTPhZGjuiBawU2GAAM3M THAzHs7YzIn9dSNB5fE14fdH6JBB+H1E5Cba39iW+8xrLPBlPVllYkkEilXx DtUJKnBuuPWiraUBlofD919JJYDGYRb+zEYW/lInC39HJwsfc4OFLwgs/N4G Fv56PhZ+ehoLP9WYhf9i0JyJv1jPwi84+PdDWd8QPF0olDfuI8PmEWfJ4EMU 8Ob6hrX4NgQtS7Ydb6+SQb9l4OlQPxkoWek7TrwagspLKmICEyRwFbI7fiuN DAbb85n9VBvI/cx+qlUHfJn9VCU0I5n9VDcS/jL7qZ4IaGf2U739HpN35AEV znUFpip118E/ARrZzRgPlg6ZzPOWLwy5StDzlqdMHJnnLTsvX//N9ZkKicWT CWRiPRS4eXycncVD9fITZl9Wyyd5zL6sasRcZl9Wr285zL6sPvILSmhf1sUS HLMvq2z79nD3eSwc+jVStuUYEW6sMRSNSKDDTvb5TEX2+Uxb9vnMf+61f1ye 4kAjNMV3pJkI+psTZwXK6SBnWPhrfRMBAj2c7a31EH8lvJty0ZwBn5xetH36 gPi9+n8kh80UOGfsgOW5woBvU28v/npGAFsTU96AeTLM3pe0Cj7LAO9BGl0z gwaiZj7bY3E4OP00fMCihgiHI2qGFqNpsHaqPFEgEAfyyS05J3OIYHS5Xcv3 KQ3Kq/+1cp3BwRLx8URXEhE6S88z7fl2k4tpT66/ENMeeR+ZdtSeq3FRZNQe r/gXTHvowZcMUXu4FkZ4UHtIee6WqD07Sv8y7TFitDHtMa7/yLRn23arYdSe m3cuvETt8ZL8+Bm1Z0u18jHUHv1P97tRexx/6Uyi9phmmcui/XhPzvweQvvx lgvu0kf78RbHXCjVPof4eYX5QpkSMvx56XBVSxORq/kbL/rQ4NQ7P7l/e3CA X1lo2YrkHy5igyuvHWhg9dJLdmAACwkGGdeDHhJBXUPZDNU//PCXOqq/UP+8 B9V3yo3lSUH0yx5vUkf15d6etkD11weMrlpRIMJ4AOYWsY4CbcnPtm14zICZ 9SUSLWZIvPpxh1ftQBNkevQ/EIhDePvbLlnyZyLC78OFiz42wZtLelqTbxgg yMZhsHFa2TgKrYxrKE72dnl7FAfTfccHxbG5LWSB4oDcaRcU52cx5TSKo2Yo aq/ZSoOW979/dL7EA09Wgos5L5KvzW/KRM9bdhUu+WcaIPM09PEcet6SdJzx sV5iCOy71WItNhBBeWRrvvdjEnDsey5xyngYjJxXVylFNUF05sIxmyNNoFCa HSgiQoMSv+XS906N4CPXvjacE7Hb5uUegUQqdPolhtS51kPVUnrP5jI89MYe fdG2MAjutyiZ1f21QM23MvQWxkHhpI/t2fpBkPNYPOctUQttg/3PLSKwUDds yOw//PnCCrP/sG3TGWb/4SeKXmsPfsFCNO2y8fQYwjsZVwPNntLhz3ZW/+HX iXLM/sMnpw4x+w/fT/hGnrpKhegdQ/kllnUQc35laI4Pj+TRndcfuuJhI3fF aXoTCQxmkzcncDBA/Xc/X60hDvoO+2ROvSLCwzVruz7m0mFbZeDZQXIjxMjs PXpXCP0/Pj8ba106FB4zmdXvpoJ3nsGxn5ENcN0FS1x9nwCv6va6JJdR4X1h 9Ou9axH5B4yz9SYC/K44lFnyehAy9g195bKrgaUAbITBZiz8FeWWuDDfAD0r qT3LgIV1Z7aMFiL5cvlaq7HZC1QYKR4wEjWoA92rDb4pSzhY2SMQML40CIMp zlm507XAiCl45CiN5HP5KkeFkweB5M6R1natBg7oOmk8EcHCFdOBO/4lODC4 pCejLkACHDn5mg6ODqsz/Gt/Ir/r/PxwKduGCBgdR7x7Gh2UuQtv3S9lgPbT UwJ0RzqIaS6scFcO/+e+zNC75ACVL6OgUVJ8xf0pA87HCxx1QJLS/99zqv91 HpU3Rbyob2AMxrlXEUdwSPxb7nslfu3//zxqpHZ/l9YYFXR111+xrG0AsD2F y4slwG6fqrggETxcjnkh1e1Agi4zykg7jQ4ulbelL7cg/OEer8vCNyROFbaf bZGhAId5+FJPBxK/uEzX6DWS4eequlM/dlBARZ6/a0ctFnQdF2c/8REhQifn MTmEDpv7e90j2snQWb+lmD7eCkJ+k4XqMwxYT1irAQgf+Mb35roDwgcsbqb2 qSB84MmL3NGQg1Ro4uUX3tSMgRNVVo0YJH+bzHSNK7IbBM0S4nHpoGooJW/x iX3eCGNmz0UdMTg4FDOtwClNgn1H4nuESXRoMZW/FNBAhQd9zwbaTzRAyCAp 5eMxAqwyjNAk1gyCwKr8ekG+Wrj87vIDQSQv9+B/Km+FHYTygNffLynUQorQ sd6ceCwcYf/Pgjz7fxYG2P+z4ML+nwUJ9v8sXGP/z8IFgov3KLYB7Ey/KlUP NoJQ9KH2Lg46pMKJzX9GiRA1KXLg3KpmWOhNG4z+wIC6CYrljT1DoLRYH9WM +LmOKvMrz3JJsHpdysDqa2Swuv3YE6PcCl/7PBYW+hjwV+NSV/xhMgw0ttyw n2+BAE6TjVxdDHiRnbU3jIsMr6ZjyVwfWkBrLOT8qSYGfJX0fv6cjIfnW7bJ 4FXJwFBvPMwlxYBDSvcy0PMDx6Mb/dHzA08C9xuj5wcy/nWS8pH8c8YyalVH NsILXaOKwmbpUPUnZKZPnQaFmdXhT4WwcPbv3oehh4hw+quYGnreYLGgeDN6 3kDq6xQRPW9gU6grVb6KBgb5uy5vUmmEcyu2X9Z0EGD5wambXk9oIKimyPHs KA4O4mQEmhA/V2yrP5FjhvAHO8bxJE0CBPe/P9p6lw4WKeIrf3NpoCq55tPZ ZRzM+m0/K4vwBbk9r/CzP2ignclx+pgaHugRw3Zdw0TgW+8SYLWDBrIj+7PX 1DWCcm37+80yRIi/bya9ezUNapcoC7s1GoH34o4nIX0EuEKrzeGnUcHfLr2p LbcB1pe90K1B4nduyKwtTBLAMyLG3MiWAryXSnh57Bjw8yr39CAvEc75DDbN hVDA3alUcDeSFz5TjONJfo8HzjrD/VrryOBI8jwbLsiALb5dzc+u4qHjYt+e dV9JcCjk32aFeWT9Ku6ZEF6DB4MHjUdSzEhQUWOV6zJAhzX5M49R+3Ve96Wh 9pdi/TNQ+29yhG5A7e+IFyGh9l9nEG1R+3EnFz6j9hsGJbWj9o9+w5xF7b96 9dJiEmLPyqKxImrPUKadLmoPuO+tQe3p/LljM2pPafddSdSeu2t/JL1cwEEH +TvuIpKf5z06PVGD8LSPuqtJUwIUIIv1XWk50gZDR4QCuf4xwMj98krCKgrE iNkPw+42cLirNOyxiIz3XFVUFhcFgsv+HWzd2QY59o0XryDyklVYpY8LQ1BU IDXdo06B+eeatOE7FBgwV7Zv+jME43fVFcV2UcBQzbw0yBLJ2w4axngi8rEf 3HtalZG8vuY9FwbJR3nY68Lyf9bFAntd9P7Hunj5P+vi5Gf7tF2FSB40EvYg 4DTCl7aK6BW1kYF+dkKqJmsICKY5ywtSZBD+6ab84TsZuPhuqrjFDcFPj32X M5D1smunfE14NPk/cUbZOPVsHIH/Bw4v4607uv+i+WP0D7r/cnRjtye6//KJ U1UI3X9RkL6bjO6/zL+XHkX3X5znI+zRfZ89z5tc0X2fPW0nFtB9HwO+QUN0 3+fF6X+l6L7P/A49P3TfhxF4SGEJictEku67ar4GmPDzOHZHmgAv9fKShzKp kPFclO9afj1guCLejQwi38emIIEoF8R/6v+tPNJSB6mZz7r+XcbDGvb9dAP2 /XRO9v30UpnAnz/fkSB4/vj6ki0tsFo9UjOtlgG91OYHxsi6PHjd2tx0pQli Trt9UkH/Z3nsWmv5KDI/x7mjCzgQvidg8kwF4dcVautlB1pwkL9K7LjjLhI8 OsN540wzHWTc19ij63FLYOEtdD12tK1ai65H2TDnKXQ9VsR9pKDrUejUHeZ6 fDCyyPEP8RtHMzryUb9xnO/zedRvBMl8ZPqNvHsaTL8henSR6Tfo7peSN1bj oOv2fe0HEiSQEQ89vYNIBw/M9E3fuziwv/BwfeB3IojbO7ysL6ZDaY48zF3B glpC/7EZRQIIqFyc3+tABx12veseu961k13vkkln1buc+lj1rjx2vcuSXe+y Zte71Nn1rh3v3gR9QfhkQevVtW4e9eDR9niu7Tse9hjPfeB5SIV88+yFlck6 WG/z87aeDR7JC6aLLS5TYX7jhe7NxnXgc/WuvTQ3Hs7nLyRPDlLBrVx+O3xq AG/LW+uwAQTYdeGPi3EeFX64DmD8O+rhfMoVT40lPNTdU3J1+kiFrpWE4ys/ 60H2+wmbW+N4UN3n3R8nSodBj8XoOIQfTf92v6suQIehb2m0dHE6jDvGm7gh /EjW63d2Ci8drgaJ/pw2psOBXY7pq9MYMGG5cKo6fQw2rDw6+lqCCO/KUvZY fqIg/tysreohA/Fzt/tFsDSA8Pg3r+7i4afpV8e7C4ifj9dpCr5JADeZZrpd AxmOh+cOf0a+P2Wv2fva+4bAdbfwOZ3bRHjb/Heuu5AESsHjxl+FhmBk0cCp GOHJmSZ+C11OJNhTRalJraeBg0t5q6sVHijtaSqKs0RQiydcPJqDh4r5Y881 hMkglUSQkRBigIzRY6LoFYTvWliu+H0hgfrCMr58jg4Z4ukrq5B89vcP1cwK 5L1mn/uqNID4ySvrAy7u1cPCjn8urY3rCFCSqxPxxY4O0QTKhzkCDfy09du+ ++DBZJN3Rvoy8h1e49/3AoPkdxsO4Sdu4CGXmJtu9ZsI+3avD9bdTIT7uLPD 5wopsOvzoKChFwOOjhg7tskjefXk5zumtRSI+ySt7ezHgKHsDMInDiJwhe+a fvKQAhJ3nJ/mOjAg72S26AV1AiS+5VRdSicj8bywXfgwA/ZoeftsukKAzXPe RP9KJC4cAPf3RxmAcWTh/ORh4YjqsnBWv/jExMHQOJg4Ow+wcAIueTFxsEte TBzKby0mjm+JLWwupkHCjaiYjk14OHr6en9ODxHIyzJVxVY0CH2QFyNXiYVb H9Wbp+8SQVPpQKH+PRpcYnxzVZ7Gwu3cWKyHDxHqP65hzkNRhyZzHvpje5nz 8FTkQ+RhESI8TssUGE6lwAn1sUNENwZU/x/KrjScyu9rNxgSIpUMKZKSSmVK pLtkSpIyFBGlVKikKKUklCGlASENMjSJSHORynhGx5gonGM6x1QkIu8++PS/ rt+H9+u6HuvsvZ+91rrv/Wzr3p+8JeA3HX6dw0v+HmIhObaE/fogDzmD5yfr 1tMROjiJtdyGhZX5f4tkXHmwfW0buG0+A29/5XInfmSBWSwSIhnAw5+Ltr4i 8sT/p7c/LzxjwTvw5UTp0zyws8bmpbNubF6ua8fmtZgzNi+1qWPzGgkdm5ev 69i83tS9HZ3XkX9j84qP2Hp19ikOquToJW/kCA88feX3jQgGHrRJXBAMIvz0 ZWZSLkh+8Cguj4jl63qWjO6fub0qo/tn5Uyv0f3jvO5IsXElB0U6IicbbtKQ duz0jtnCTEQ4r9BbUs6Bd1TLF9UoGhqWs3ONBZhoXSKvLkPjgCluIzpIcJ/l +Uma84cYyFbQGI7J5kBqeB9dRoSGRw/b/tyuZmCa96QfJx5yIHl1XsP871RM 9RvWlyhloPf285rPqaTu9LS6msiywMHU3F5rHuq8JSKHCG803nZXtCaqHO8N wos3En6yK2dmxqITDNgbDqnb25VD87NcZHAcwQkob5TeQvZ70GPnYdlyKIj8 cYq6TnhMAfPJEqlmiOltoqGPjqxsxkmJY0wccBT1/TS5GcNtwxLFkXQcP7di c7I1E/6TVk5p7uWg31wrYooyHR6aFedXazKx4PjYeDRsxsbTOT6e5Bdj4zEy GhvP3vHx7F83Np55IWPjsRwfj8r4eGTHx/NifDylO8fGc4szNh7FgPHxTB4b j8q2sfHEaY+N5z1LftJ3Chs0iRH3WxYlyPO6nzpoQofNGad3UlQqWFdnSU6c T/iLtOOtW2VcLJZoVM9Op2O6Xe65+4osyN9v1q+x5WGhyZKEy0mluGo5j/32 Ialrz+L/aehzUf7HzoK5sRi2Nz5lGaQXgZHwYKNabDuiXn+KN1xejHWB7x3p x4tgUeLb0HalHUyW70uDaA7EX6c1mUZQIcUT0+nLYMA25+npLE4T7O7T69dc LsD57DaxgFoKLih9KV7HbcSqHNHBgYB8rB2saXFeUwKt3Dwf9R+NuM7o/zhj Wz6Oxj5++nxuCX770YrMybpZnN+yah6Jy2XFZ6ysybqV73zq0KbYjNcOyqqX lzMQ/KNSUPs6E0Yn60cSuwgOZO1yL5zFwtlFfm5Dtiz4K+y4NtLQjCkHbON/ sMuwQfyz6UZdFixiO71PJ3GgGNKUtDSfCvFpI0NZHxlwDw5X9KXS0Sp1XXaP IckPfSnuIbt4YI3Pd/b4fGeNz9d+fL7u4/O9Mj7f0PH5rh+fr9H4fFeNzzdx fL4nx+c7MHdPz+IzHLDMLb/6LqIiIGxxXNYVBlgWntKT9nGQciAoatsnkvfk NGfaHmHAZvoOTqgRDW3JO27x7jLx4p7CMv1fhFc6akuUGdOwZGSbtXkS2U8r taZFE3vZ4tSAJ//YcLmp/3aGfCnMdy8vPUIh+yvh7GvtETaede+4a6FQCp2e SyHfyfzjhgPolA1UFATzJBZHMbDqusWQYjoXHo1XvE/1kjr16OGPRn0GLjgs 3HAylgu3St98tdsUDL5s3+ycR8cjE7W+5gBiP7UvOvk6G64v1no5OhfDdMDl wp10Gqbt851wneBDjXTXKiOCD4/MuzhrEqmX7NoA31hLNha7hn+QWV+ESX+f PY3upcIlKfX1IuL3SI2mILRY4Hm4bmxy4MF6/DxKfvw8ymr8PGrN+HlU0/h5 1Knx8yid8biYNx4X88bjYtV4XLwcjwuT8bj4Nh4XB8bjomw8LuLG48J6PC4s x+OiO+Flw3VPOrr7Ttoeqy1D8awXM6YbETxw/obGSCAdd3+8HNH6WYb2F1+s 2jfyELvX6qFNEQ+O3zRfPSQ4aKO1toiIVQsYP0s/i5ew0bYhy7VzXQm2PNHq OAQ6eJ4aKVYFVEja7+0tk2NiE1dO6zPBmTlntjOekf376CrFMrmgHLKbjTVv JvMgzkudKFzGgHL5gXX4Xg4LM+EwwTQedvcarPaY1ww90yRhDTUSt7oeT39d YULqSMz5UyrN4L3vMukFA0fsv2SqJTIxpOUqdWAtwa+CN+lPh1j4bltS4naZ 1M13Ni/ExRhQHBg8lXmVBe0FDSYt3jxMeuNfHM3loG2+5+Y1PTTcrAq/n6LM BNvi19+4j4SnzA7fsXwDDV0DQ+L7uAzcNhfOmmVAwel7Q8WzfhJcHdT6fu8+ Li5/13AMJXVFz3qhsMEeJipxrnxuExdJ1nNT3z2molh23qIYUs/+bTWwP1/M xfPD7iYXzKjQMxOfqh5N7Gfa9T2eclHZ8DZobgrZr4tO18QmlOOzuraS/V2C Q91qjj5+y4Cezqt3Ue/LEcRSnZB9n6/zLjqoPomJ73G+xqWLKoA4hXPLnhI8 cMd0F388Z+wcRfjjmfhqegV/PH+f/jnFH08gy3QgmoynyshnM388nUcnqPDH 80gvsnkZGQ+ltESDPx5/ubgLM5rZuFTrfVYupwRX3gfeCwmn4+/qR+oDH4g9 q5v2T6oEJ35VpL5TouPqDZncW9FsRBzdF3ZhP8nH5fIRzVk0/JjwNoTvZ7rc 11N8P++vqd/h+5mg3azF93N0XnEr30/r+/CXfD+p6UJUvp+0HSqf+H4+/DuS yfejJzRwzOwYG5a652dq1xRh4/uv21oJz9f1n9mruJ2NDU7D0mf2FsHjUoWG rygN51h4LPCJjX79jvhPyiXQ9Ok4eX0pHS5DNKnfDDYWqRquuupUAqfTuQHd W0ldFao54v+SDbqn+s3eX8XweB1u8UScjl2v0o5dJOtW/XFvkhN/3Z4+LjtG 1u30dT/hJjJ+3ZiR/iQy/gS/uI2BZPxq3fPP7hGh4+xfjWBJ7zI83V657S/h rVmnI1cp0Ml+6o5tXKRVhm+Rk+dIyfLAsFyjNUTy5PMUg7n77zHhN9fhoQPJ hxXm+m/3byB4NTOOu1mY4Iq/F+4oXeXBy0G13lCP7OdIafb3Xyx0zvxhqHyJ B12f2ty8Lg7uNh2MCZpER0F3u67+YiZme2z6o9jKgck0ufmtjTScMmqQE5hH 8nH2fF/X342oMJPpU36aD52P3R06DiX4LthzkN8HSa4+uXhK7kc8PrM85UFu Mc5//DrqP2HQbdT/0EjbqH/Oy+mlq3o4WDh5gBM3hQ7Po9wsjSVM5BvpjY6/ MSh2dPyzPMfGn64VvGGJMQO02TbeoqLlkHNaNCB9jeDequqeKdFUDAd9uHmi meDOUNOjWz5xYbJjkOfvSoVI7Z001jOCz1QahIpyuFDxydlxPocNHHANzOcW IzTxooIL+f2Bm64nvt5lI0+1Mlkxphg1rodEhZg0OKrang3Oo+HEa6NvKQvK sFPwZdGsWTyc/FF1ihVNQ/UKkwDzfiZcYxbfOCRCcMiBnvQTs2l4s9hJSvQo E/eYqs28Zi5cDm2PcNQgODYwNmpnTykC214I+S1hQKl4p1WUIgf2rk+brqWV wvmbyua7BMdj85T0Ri4b9+5v+LCcWoKpm3SKpePpuBzOsuDfB6swPjR6H0zz 29rR+2Aqs6eovzhHB6N8j1dVdxms4r77RZE8PGXnXdWfx+jI3WC627SpDFMP PVKaacJDT8Dy/gl6dDzD25mvUgi/u7rzx3rCXzrNvOUUu3lw5zyYqybeDnnX VSp15P39172O1TbXdu5P5+GOn4PQcCkXLaf9P9msbcV9Edm1s4g9+fiDrvk0 Lm67uvksWd9K+Epx1Qy7UnStvHF9tTAVfxa291gt5MJBKzfJPYMGzWGVJ6ek ylAmI7bPnfDNMosPo3Yd4TF7fI3oqF0q0FWV33d904bnU1p+lKDLkLG5guDv 5R//XFyUz0bVuQeV6oolEOVpNRqq0aGRbxJwK4GNEOWXRvvOFaPAYGPXQD4N ts3OS/h+6jRnzeL7qb7HsOX7uTRlYzjfz9dm/OD7mT/9QCvfT3ReQgjfz3vD /l18P2ck1k8YJH5CJf666y/hwJgZtJTKKkXPN+sErhIDpRiz74gLHrXHK9iM 2mXtf5vw7zlckdvfwb/nYEBt6OffcygbXsZVD2Wjcl+G21dShyvF9eTbL9NQ edH26SZTCvS736oVCfN1mHkB6oRHz+mtXZ7cUYrsVFcD04000Lj3g7K3cOHq U3Waf2+B3Sm6in9vQfLNwGf+vQUHW8G3W1Sp4NTR7/R6M3Cv/qz/nRQubi64 wP15qQxxd6ghgaeqMDXh7NqqVh5a92Yuphc3Qzw/0F7wchmMvUwEwyYT3H2T SpUi8WjZX7S3Zmo5Pk18WTOVxKMzZeW1DiMGFsY7moYTe0/tkeDfJH5Vqf61 C0i8v1LO4piSeCufmb1ThsR72dSqYkFi5yx2lykk81qc0vymU42JtZJCo3Fd dL0+lh/XewfFR+N6h+lR+0hnKvzOvViSkk7ifWJsy/PnXKgPNo3G9aYNC87z 4/q0icBcflyfUxb00LnDxqG9/9ZbXylGzl7Fw3cpNBxMyl2ZStZfYcvVT1nB xdCTUev8+IUGof/oM7khOmn67acET6p/dl5BJ3jv6m3b1j4a8se/x/0c/x5n Of497vbuc1HnBdiYX19sOyheiPkzP/yUVKfi0/h9D6mAsfseaeP3PVL0U1kj 5Pk/A133JkoWwvlze6LLcioMbsek7hNuJvXKd1lDGh2yKdaVUTsJH9rdTCmI o+JAwUqDQIIzfoRWN8V/5qLX32rokzMbXa8Ttm0KLULHtgLVhPk0DDlsOH1A gAYXf+m1pY5M1Dj9TnzVwMWD1UUntn6iIr/994/7s5lYsUz+9U86F5Ly65bx dZ9jT4pm8HWftfwLRnWfBbUTV/J1SLsrnwnxdUiffc+u5euQPp01cLNjKxVl 30IeLrnDwCHdiitDBJdOOzLHbL89FYrzE1lzyD4sroyVFSb78GdTUmtBKAP0 p0+2crzKcXHz5M75t3hI1M5R7dFggGGkGriNzYKdgqjAAv53wvCTl6UkmuGy 9ozEhO905DhE1m72ZIJ24kqWUCMHTqa+xxKKaSgQfPW9UpqJGEr6zun6LXhd 47RFzJsLWTWBmsO3O6Cx6rXa4ORWFAods3xN6nHUC9Mh7ooO7N1oUiNf24rd z36qJizi9xkvjHrwlvf/fp4m1WQkVdmOVbI/Zt0r4wEUBfndHlwcHr+H3DZ+ D5kxfg/5/3t+mLJ8SeOx+Tx0h1oaKe0gdVFzoTHFt+0/7+8Vbg+wFyQ4/KDg qdp3slzUP5TkFWxrgfsu9+w1pP4Ecr5t/MVioebai6rOIB4u1mpVJEky0P7A SftQAgvTk+d07PfhwXfZV+n4Wg5+tpkcHnhKQ8Xhvm3605iYsv6hgucXDl7+ FdwlZE3DKu9/iUHdDIjcvrBTPYoOlY3B9SYTWZj7doRRTOKps20dlX6Xjp6h pYo/pVh4PXLZ2mYbD69WH6+aZMrB2rtmdb9NKPjHq+pWNmXgA+N1+ptkNr7n /xTRSCX48FhN84FaGhTH9YKr/kcvOHjqZoGfkUzsrBHW3DFYAbHio/Y/83lo GZaYbbudici/5yZJPajAGo5hXjlZ17pl3vODzcrwfv+pqwdnVCFll2vb43oe LIyfTnytTPJhh+zzv7WVsNGbpq1Vw8P64PxV91/REThr107DpSy4nJIsrSDv wXVruosCv++y63qum38Z1NpbT9xfwsO+PStkekqoEGj77PCe4KfHr+XvCJdx oW/y0rJzDeED7dX+1TeZ2E81T1vUw4XnWf/+VXkU9I1cVnASYGCwJEtXM4yv A35wXsRDgsMMP2w0ECuDoFbPV/o0HthNK/2uetAgarVbal8JE2+2a2Y0DXOx IvpPu8VBGj4pDBgNFTLRsnXPYmNij9ddcSOfQUPm6YHIFu0yvCjkLg4heDKm Z/cD4QoarsioNnjplYG7euhehhwPz3JbYvdLMxCp9lopI40FV401+y6f5CG+ beKlF9oMGM459k27nUXywnf3NLKvG8Vsrl8ro8J+5U9K9SImNH+8E1IoJ3np QNPnXUFUbPp3fWY2i4GugEsp/h+4sP/q4Ogkz0ZByd+6156FKJNjn9riQcWe PGyZ+qoJI0H9R/oYX3BimfZPld0U1FFjzfcHNcE9YuPWD78/4/IW9xiZ8lIs 2vRu0vYmNoqqqnfnPyzBHfrqoyuC6IiYFjP7UwEbrSItXDPNEsgPvCxK0KGD /jl5orkyBW/a/tCN35J64FZ/w34XqSNB9XZTtUtR5+7uL/SRAtspsjc3KXBJ /o6rLXxRgnNV2kfePy+FonwHiznYjhPzImgF7zm4Vmw8bK1JQ7Or5Wxjfr1S 09v3JYOD5TK/BIwGqOj09lUKJPMWCPrFuf+IAwk1gaf/mqig7D+y+h6FAT9G hssJYQYen1y3tOciC4MKXb/3eRFcNSv0oF0HHVMfZddjLwt1Sntvrd7PQxR7 erFwAx0XLRtDl25nwTB67bY6V1Kv3lb1fSf5vj+wK33xGSaCp78z5+vX9Ecd FP4ziYZ/E1WLN5D6YR8WOMmG5H+nkr3bPT5QwfgQfOyIFBOmS8JNbxG8Jvsh jPpejYPOXVPcPzNLcabvo8UGglsyGgqddg2zEcO5cuHRrFKo+s472F1Eh9i9 a94DhB/lKS7UukP4ka25W/gA4UeXH1BHvyNocdeOfkcQmTH2HeFhhqj7/vU0 +L14Lx1HePh9p5U2Lj9J3ptT49FeSUXjlIOSvkuZcKDfv21RwUVGWFrRepLH smkvlVVluFiuVimTadWCeDHLew80aFiQe+VuJ4n79QZ7b9l3cvHNOFr/JuFH I1NetQzdZeKt6wonEH7k9mBrhm4/G9eZwRHqQyXI5oq5nCDxvMem80fWPzbe aVmoq8uXYiqvs+kchY6VUvP8+PdkPsbZL+Xfk6mZu9qRf0/m9YWojB9rqEgN ub2JRuoYN6pQ1uAx4R2rhEr49z2yDpc38e97OHrm+/Pve9SMOJ3l65WL+FaC r1e+MLHvKV+v/LWma8XHKIL3Xikw91kXI4kW8aMphfDW4Mo0fv8ira53lvz+ RXuOzTfm9y9S2fjb/uvPMjBlXGWEZlbDYuYbzt9+Hta6pDxZ/bcMWbObR5IU q+H48aib3gAPG8fzjPJ4nvEYzzMnxvPMhAlXRvPM0HieeciNCBMXpcDxkq5i wUUaotwGDr3dzsXlY/HlhRcIL9Ft3d10qBxfBP3+VibwcGhF5gnbFAZqBgqS 2hPKsVf6/abdd3lo+F19RiiPgeCU2EuKn8tx1+xf1o5kHuYcbvnK91O22M2D 70fo5YEhvh8BxYt7+X5mXGgL4fv5o8424/u5P3j0HN8P1T8wiu8H8ruz+X4e Jpq3LeKUwX3pjYeuI1UYuSxS8bOPh208WuP3yDIs9M8533y6CuvNNH0GCY6V 9RV1SC/iwKbKMyvYhYaTqwSn/uhlYNlKxeiGQg4uv7TrWuVEcHbPEgH6L1L/ znHfZTE5CMxIftIeQgO1h2vxewKpdxP+rL55lo59q5RSYzvL8GCn+9khM8Kj CzP0Fr4g9r2KcYmLWdin7/9tEakLcwfUCuj76EjNVp21obwMRyf4zNU15CEy OGiVGcmrpbndPp4kr057nGl4huTVRcnpE+tH6PidLn6v6wQLU3sf1pl58iBj 3R6uX8KBzvW5J/vdaMibcfJK328GDMJr7ZWIvS1tdlM4sV+UvXWijNitT1xs PvuSg2d19+aZy9Lw3vTMy691DHzt23/geRkFZsIeQhNlGHD22H4YlwkO3JXe GKdI8vbSn+Gf3BnQb98dEnyf4DevxWKn7TiIL6y4JXORgkdl4jPqdzKQtvlW 92k3Dvxv/RY4WkyBJG+//ZajDOhKMNfY7udAQedtXR+FgqDi6ABvwjO812/p OxDDxhRPtfkV7sUQvrK/QCSHBsvNylYvL7Jh38yNbF9G+PipGzcfRhL7Cquq 4Ih27NxDf2XJ5mH5ouz5vwku3aR/ImVZeTvaDp5/Zs0i+Ixn+kfv8H/jq/Qf Pnf7Cnmo3XNq4UI5LmKHTkhus25B4Yp1S0q7eFittqptj0Q7mBdUSyg/OXhR 63W1sZHsa+Fw44p97dgTKx8hsq8ZpslRbx4R/vtpwVVThw/tWNMxEDqZkMOA lmmjeSxX6eNoHotZqzGWx4a7ZmeBhuJeum9RAhOXst62t5K4U5DT3P1tOQ2N Vzwf9IUzsSHQRCSmg4u8y0UROhKk3ueEqOy/yUKWevTQ3eMk/y86mx4iz4BZ VUnT5SwWVkX4VNmf5sFx4KDeMXUG+nz1xQu/snCEyRTODOGh6ZCtbsE5OuId JE+3dpdBfrpC7Y2NpI5/eyoadJ6D5kOyL5MMqDi0aOmkuhiSzxuNXNZ85uBD 7CtVeUsaGra+S+F1MjDtuzclgMYh856emHaShnj99CnpQwyUiLzoN60nODBx 5NvMNzTIxd61LJvOhKfu2DnqPrGxc9S87WPnqHOFj0b52DOw7VXevVuLy+Ey +VOtXDQPw6/HzlErxs9Rr46fo055Y9X34Q8HDI5r7sO1dEw7a+KeqM+EnffG qH9kvZ3d17m9KS3DX5WDSpNJnJ1L7sihmDXDv119Z9EHBvoFI3JWtjNRYnxk R9ctDrzijLcve0zFTOmTa43eMPB0l7u3PeG/ikmBP/+RffmxP0M5ifDfZQNr RSoLSiF1JoDEDxW/vZ72yRlzUfSj9AH9ZgkeXymeLOFTigfJRq1JP9uxJX1W Ih/niOVvqeLjnNBvbiJ8nPPik9Ly3eT3bmjrDWr9YyB/XpbzQcIbOuJUW9wI XjR1Ohf/yr0aM/t2rQib0IEn4/eIyv/nHpFljmaQiH0r5hfnqYQvqsYvO+PA xe6VUNpetK4quAU9GVNfxC2rgLyhOOUAyZevBypEb2g3Y42AZuwnP4IzPvVX muQxscc4lacRysbFm70TucuL8e28VlXvZRrOX1GxL+ttgmND8Z5uSgFWpjyJ ERKgIndS2NdW3yYoWH5P/Jn/GY4VZ1ITs0rhKCh2YzivEvOlp4ddptfhSMRj /Q+hHZjevP65N8EvKwvuhFRVlkM832jjylQeRC4bdSyms/FIftNNBbsSrJWJ OzxvMx2VIYtkWR/YSHsYzXORKkEmmDftlOiYXmG2MUGFhkOPmh9JnmNCYBN1 bTHBLbtVPdY5nqIhfXOuyZyvTHh5HkjvmMj7f4//R9/ku2Yzm9AsjYsz1D4h p7Vhi/WjEiTOtr3sqNKEw99WqP7w+oQQq7wm6eoSMJ4tUE8uasSrNv03/t0f UeOs2nLnezGcxtdB+X/WgWNh5zUtpBy2Vzkd3Ue/QnVCV1yeZgfCRtbTPYYZ qD1mEX9bsQJ9nlttTqaTOjX+fpePv9+/4++3LDUi5oByM4JK0k+G6DKQax0m lkbqdh830TRWkIOAdQNleatKcXPN5QkD9XRMvj5lg+9VNnatusfYaleM7E4V l8I0wo88w30VbWkwU09wjsxiYtbmdcP5/VxI7f4ZdXUtFf6sGs34cAZy1L5a ZBPcUnkqPsyxm+Crp81u0aLt8Gga2lrQwcGUW9/fSzXxMM1x08Nre9txoOiJ rrNrM77K/JvAx9tTp91x4ONtD8XLnny8fbLV/2MdlY2Krrkh76xKsJ/yb3PK Rjqyrgea1LEIHpYXvMUh+2+/8STLuslM/v+1bF/nycHHK+Uv7BsocCtvuyBC 9u8PoZ1O93U5WLf/bYcLwSMjV8V+NmgykGl/6mtSNAPld24nGgWXw3Ela67Y bR7eukUVhm0lfNZLtDhdoRzr57hc6LjO70tzKnQiyZMrb3B9K2pYiDpe132U 5MnFtrWFy7rpyJ/1KdVoPwuSPum6Ew7wEOrnf5vWx8Fx9oXay4sJPvM0fqul zYT41yi5tjrCc3MjYiJe0SCVVKtpTfKe4MHvqb2ZHNzvW7N62T8qJJraj82u IPhmT+/LzA90yB15HJepQeq7fUmTvwMP1HdzJ1mTvJSsGrEq5QEV2zTFCrxf M0Abf+++4+/95fh7V9Q5LWp1l4O0xLfy6gSH+igkl5WQPPeu78aGiZ/YCLpr fCZHuQSr+2Xsw5fSMWc8HtePx+O08Xj0s/T5sZ7g9EfO+Y+/rmEh6bhMsqwT D/bmDIMDOVQETW6z/DaFid5r9lsXUrgoVoilvJ/FwlDPe+Nos2o8zL2ntGSY B89xP7fG/dwZ93P0KV18D8FXz/u3hlk4Ez76OXDhaYKvOi2rlnAIP/L3bahn En60l+tTcIjwI5Ht2l3LZxJ+P3V1558kFrJLY/buOMHDn+uz6QmEB1EVU6LX hrLwddHCb36EB1lPnDzglE3FF6Xww8+ECM7XasiJLeWCautM8aETfG78wyR8 ARNnlj/y3cDiQm183ejj63Z+fN0W6Oc/y/tKg7Xh3T0h68ogffLCI8zhwd38 GK3Xn4YduRHb6r8xwRNon39/Eg+z1Nm5dtdpkHAxm5zay4SRzf2XuVN4mF2d 4WthwIG4ytv52XMpmDmPHaqox4CWWK2KhjQHrmqPomL9S5GmJTXrnSADb0+I lF2Yx8ERJ2EDk/ulCHeIvr5GioEtcmP71mV46ui+bZYc27e/jtEtZisykDig v9zoHQsHBO7cqD7DQ69O/G/LMg6uCDyx9Q6l4WH94O3CiUyoLZtz8lAjB2JF 3ueNS2k4m9V2zWU2E+qeY37k28b8LJ4w5id4l6CHJ4kniUu/Du7gkP3fLmWz P5SH10Fj+//esouj+//n+bH9Hyk09rsc/cejv0tLHPtds0cPn7/Wa8E5l/76 k8rlqG0QeFs4wEKv3TJujlALHA9+DMw+wIJ41KWBHeR9Wnj6Tgtrb8aOfW6z QiezICF307bFnIXUWzpWTqk0tD7QePxtShkEhMyTe8R56Fp57Mt6dTrSLiye bxBXhueKrnlimgTn1P9a4fGqDWde/6hZs6UOL8KXidffrMHzj48sDP1bcV1z 6cCkVFJPU9TlBl5UYsbRkq8u21ux4a/M1milaqRKUTwi3Cr/M3+K+XVoK6uz Edt9a0/km0LYTzxRlZhIxfua0NDWmQTH7iv70re1EDZLOhwmOVBxlpXSav78 K36seZKd9qkBulPePo0U64R6oV40b14Vbu//++Parnqope95WRPTgbWChf+C 31UiY766XllRHfxzdFRmkjrykPPG7FdgMxpkjZ7P4Lajes7q6EWUDgh6ra6x IXny7vrU2AHBdjSrur+O6OtAnmSe5Cz9ZtgER0+5mdmO3G8OJ19VdiC3syR+ Sysb3L5jC3d9KAFNwyzlfBQdIz/FY/jfN3XMJDbwv292xCqt43/f3Pene7n8 ScLra+hszY4iHDj0WarCleDBpCe32NNosHr4ordzP8G34XoXo9lc3OpOP+BF 8kbUla1DbJI3LJKMLqmSvLEry8opdyIVp3UtGv5uZEBooht1NsHlsbMU85aa cTCksra5eBMFS45LyGabMXBn5a4dNts5WLM73icxnAKFTP3VE50Y8JIIPsET YgG7t9831KjGscedh/sHefi7wOXYDL8mSMmbb/hzsBURYX9M/qITy9OGQl/J M3E1Vme6kWUFRPK0Rv48I/vEIiG2pIcBtfAWL1mJCsx+6tn6/jEPzL0flLSX kv3fO2Hp5EoW3qhpBfkG8xBkaHd8Idl/qf0RU7yzKvHn+SpzeYL729WU/11e ycQW/bsSakcqoBF6Lm9VDg+EPpYnLyP1qO79aUlSXx7IvbACqS9WOidlrzM4 eK90c5VhIA3VOudajo8wwD50hDVrWge49GMSzPVtEMm+0JNE6uiOTXZC20Q7 cPhCj7no9jb0Tk5dojHCxjfVhRazengYuHNIJk+oHRdPpMK1hQND37xG901s LNGfL9GtWQRl0fcaM3lUWMtPiHszkY3475dyvScVwmqOn1TiQup/1v2MVpG8 yBgKpmp0tq3MpEPxilxB2RkuurSPi1I4pThmuVTzli4Nb0pll1/ZzMXcoguX VAxYENl54eDPoGpobaGtFJrcgX2hBU8jVFjo1M123utSDXGTrp3BIzy4tp6w OqFTBcGp646HnqtHgOEzQ834DvQyJ77IYJfj+orO8omTarHH0+767/UdWNFv anMnuBWfXv9kTf1cDb2IJ9o6xZVQdZqlvu1BC47aSQlPSK9AsXPQvaJWUv/H zw8Z4+eH1ePnh79jW7OVppJ8GFVYe928FOY+aweVuXTIfHiXoPaVDYMGiQdv gkpwWW7YKcH9v88DhQrdPgm40HC/JC1/3gcm1tmp7ng3yMXqTendv8l67/q0 dKRxAxMLFCR/bK3lgmfv1nJXkYZpmlqvCk4xcX7rVuNDbVy8LHE7+LyL4F7d 2/ME60jcfU2r2ZZMh9VtD+nKSQz4m0+PkTvLQqCH0+P6QzwI9FdfaX/Nwafu p1OtlUle1HAflGlg4A9lSfFjKwY0DuxycJ5TDh9RhFFIvYioNxHWInzmvE36 iSbLctyQe7606CYPkiE1fu2XGUjesvvHglMkP8c0nhBL5CHu1zNXy8FmOH5v EF1M6rjKiu6vmw6xUKl8KVvDh6yb1Qy6lxAV5XtXbxIKYUDntfdzbhIHf0u8 J//7REUHbPdtzCc4RGnRxQsvSH1fbXzMaBYNH56c7Iz8xkDK15FBA0mSt/2C E+z9yrBm0O3RVzUeApMs6mUJn3xnpFaUU8WE3jSv3C0Ezx+TPnc6dzMN2fnH j794ROoK01Ijt4+L3hFpD0YpHWtXVEgkrWNhissZI6ldPPRRdx5KptCh2ZFl GbSeBeEkI1ULYj9Mr1AOfU/wieG6QJ+VBJ80HG1dQnCXetvr5NJ7HKSuC6da 5xI+WFl1uDCPgexcd+EFZF7Gw1d18/OosM8+X2vwkYGI0zynqgRSx1+n3k9O pcLF3GsO9RUDV0Tnrs8NZiMufdrNBKVi8Bzo1c9DaKi5a5F6UYqDFBVOzd5D pTjBCblTNoGBM47OJdMVqTj6cd8vDXcG2u4rODrf5+K0rXvF4uM0XJa8Qb/A YsJETP7cmgk8sNeod/HjOrD2gSE/rjk2ojb8uFYsXZ3Ej1P3nzce8ePUNvr3 e36c/nUzqpl6gIZtsy7NTi1gwsZHS7djiIvs6lpWgDcNdu2i2vlMgiMNriwr GuFi+hLxaafEOdCfsE3Qe0cphlyNP8v10pEs3ytbOZ0Dm1n/SoLdCc9t1jpR PEKHv94Yfk7SHMPPuTvH8PNs4eZfk+Yy8PupjEDNSxa6lj76luPPQ3jJGE4+ EDCGkzdGjuFkY+2xfOihMJYPvbXH8mHMSo5IgHkLgr96V8g6lqOn33HdUrKv jY3CTsWrtqBbKf6xWyMLI596bxmWsVCQtqp7SjwDCrnHp3HCy+Ew7ZpPNsH/ aoGiIvcMGajj3nyZJkjiokFFISeK8JnCPyF//JlozXv97suPClxcuS3OM4+H LQPi+Ru2MzHn39Lm/rQK1Dm2LS17Q/DnsGnFFwkajBizDeoPMPGvN0qIRerd 0XlLm7daUSCnqjKzT46Oe5SZVinuXEgKyLOOHKNAKl0k4Po+On6kzxZdc5wL /QrTiG+HGZg4dWfG143luJ2tIbaRxOPZ53+9vh1joOJwXdWereWQ+rh5rXAc D/8czpyXIXFXsldMT4DE3R13J82mYAbkpp6Un3SJg6bY3LkT91FhYmtvEXOf 8KNxvrl5nG8uGuebn+eKZfzuqUTOp/eJtrL1sNN5ZSIY1YFBb+WknilVeBzt iF79euQdFQ84cr0DXo7Sshs3NUAssioy26wZE2UYHv3bO9E84PC4J7cJdzP/ dB5LbkVycaWru3Yn+rTMDZVj2Jjnt+WTjm0bjP3uTjs9qxOWl229522sAMfn pYdVXC0OLDR1a7LqQKbgis2zclkIbSmSyjKtwfXu6Ua20h049zBgafWlMiwW o+jZn6qC84tJxqxWHpbN61b4MpsGNxfJHU5Hmai8s0R0UgsXTLlXFvkaNERe NWwWuczEFd33t106uTg1zq+/jPPrX+P8ep7EIjzrZ+G9vOCcwVs1SGYGUz/M 7YBq1rFtPTN+QPri2ZLXpO4WrJFZlL2uE19/SOyZPqERYiY9Qn9nt6D84tJf fvs6EW9eEntEtBw7zK2Pv3pTg1kP+5rSlTqgonrG25Dg5m6Zyxu0A2tQTpl8 Y+KcDnw6EXxPbrANYm6bD9Qk8+B1wnDz6nm8/7SLhOg+uraWi5zzc04pPOFB 8bBn4T9qO1i1R2RP/uFCIWDprvj9/P8fWMkTetH2/37++6Iqo5QsHgwq551s fMDFsOUdgx4J8j7dtY+7tbShZULY94xbPKzqj9PzWMzDoplXXyln8qAnIUl/ 9JqL83Uf8+YubMVL+Ujna9PacfVX7IQisr70zmtrps/k/acuzH/pvJQE2Q89 aW3DKY3MXWtJHcpvPLj2tSrvP+19l8xmmpzjQjr7xJNmUue+hkYMiHq0o4Xl nPH5BRfvLJlLmAE8fLkt9WZAph3XaffPh5P5Op8teBT9kIsEj2bReslWZA8s uVT4nIddlDqlm/FcCGsEV0wbbsF7+vTnucS+Mq/kIYXYbdKS1tkQe3iCzMUu YvdvNtt7KY6L2dc9BNP/tvxn35sDeJc4fSMVvTUBM/OjGeDOkTG7+pSLwSBl dmU0G6xBoZgTB4pRve+nw/lsGopVFefWvyI4ZCS06ulAMQwVxae7TKej3q/0 1EUFFmJ037+3sqlG/sPb+6z/EX7tuIcqFNsOScX8bTZtPPgcpu/MLObCvDRm z/t4giv+Ltta5F+Mf3e0piXn0VBXp/e5zIYKi4ez5ZFE8sVxSnfBMy5ctq7Z 2SVPwYqmzYdSHtMQ9e1o8HZHksdOGMudGeSAMfX2i2Wb6HBdr73THUw4RLSc 6+lvhg7tu2S6JguXrf68XUD43HcLoa7vK2jwkC9wF7nEhK1KeOu3DrJ+r2f+ mqJPxYseA/maCwxM/ZBo/u4R2ZfWTQkJ5ymgmFQJM0LouBO54oLLSS4Cb9JV a8qpmCA9JX+DGhNPftvJvSvnItlsrclswrcWlXdlCHUx4LEl8er5L1x4ZWa6 HhtpRtuO2ilJliw8zZjdHXSShaODSqmYR8fK3rlKm8LKoGMdmvJLnYcQquKo /fRzhVG76MQx+9oFcm8v7imDzb0snXi9KtT1To8Ia+ThqXH+Gqk3zShcuPP6 edsylM65U6HTUAbbBXfTvtpz0DBlzdeZ0RQEB99Z4erCAMb92P2Pn5VSC6++ Jeuu/KrKZySW1LVpHtv/3flv/1y3vzTnT3RE9klffrSKhcYl2pafd/KQxXFv NrnNgdMVSsL7TCoazfdfkXzHwIrqurDnRXRk5VSesSF4vGWPyi9dJx4iq8bs guP2N+P2Ov3lunIb2Lgr17vxxPQiUM7d6i2toMIw9UV1wF0OvNVdTXtfU3Fr Y2391FwGiuzopqd+s+GzLnCF7EAJhn1KF/i9oEN9Qv7IwXYqUtYrmC9bz4SC okvMna9cXKlM85KrYePQoyO22wJK8CKvRjh/Px17tu2JyzhCR1ex1du8+jJ8 0s6xbzfiIcypWa/XgfCmPw8U6paUI2+9zmvraB42q53mWgxwcPOGkEGKIR3T S9wnsNYwMZQyNk7LZWPjNBgfZ8Z4f/7L/9Of/965+nK+Plol+14kXx/N5zfn Dl8fbeSYy78+OyrOR7wOCE5mQPVrs6NjFhefNDVD7iUQ/nvgw+xT54oheEV7 n/AnGuRk5ZcNb2Fgt3T/5h3y5VDe8iImi+ShQwQpvLSjIf15xo61z5nwWK5r pEHyr/bvM60q/P93oBgpui2iouaN3sr0KwycS/1mlvCHDo2M/FpdLxYy73+1 3ezOw511I0vXC3FwKeCeaqBeKfR2tpjk/aBjatPpA5tECN5NZQ+Xa1fDQ9Lq 7ta/PJzq1vu9aBcDSxzDRTJXlCNW6VYYlawbR+D4sdZjdBx43iNp0FSGSYkz T0834eHV1wyd6Sub4Xz5TXPUQQa+Wrgf8HrBROnNC+obCC9O2bXQe/O0Cryg zSl+SHixxNYF4i+MqTi+xqBmxTUGen5Ou56azsVME8EIrxts/HLE8MM9xRD4 GDszP4OG03KWxu4v2bjuE2z28FcxQr0db58Wp+O63URhB2kORtzD2GvOlKJ5 UldQjyADAR4ZMrdpVAyERsnzv/cU3ngXNYXFRe4E5c0mFmwslY3POLOqCGms oSUunWQ/Zu3ITrhJQf195zNXntOxPaNjz56zXDTtOnD9+z4OZmamF7UWUKBr /bHqjBcDFzsY+z4EseGcFZPrrVCM7wtvhQsE0XBJwunxQwUqluvmOSbvJ3zo tZbiyyQuzCiZMk7mX2DywG84VD0P1bI+ijkBbRgWpQdQ/nLg2e5mH2ND8qHr lCJjQybEzrOdlSY3wz8sTtQgjI65z1+yDLcx/7MvpU/PyNRRXcUnenp8XcVw jg6Tr6vI/GzyyOYMDWHq59WM6phguMVteT+Jh4utk2/z4yVl35o8frwYdf9x 4McL5ZmkuetpDnp1Zk+UI3zCIv2t59ZIBuJXhRwSvE54kOhp200CLPAOHt0R ZcmDjM6Ss3PDOShwDNVe6kTF4T6NbdPuMWB8Pcz87VwmRLVHtKjbKrCU6xPq QerlUgPP5vl/OLB1qRbcqEdHY6yl9EY9JgwYBrI71zYjS/vjArM4wgNVk1U9 CF/xTOrZPHMWE4nD1emGRhUwFMqyGyK4QanL8XvX+mbc1ya8KpUBqblSXnq1 TCQHv/0gdJmGopJimYldhI8MCzhZCJP6/lN+WvS6Bkx67rXXWP0lFLbbnJ38 5QuEjl18U2LVjJGPyWKnaxmYHzyYeOcvE3/Oh3czthPecPba7/mLyhHZZuLw 7QbvP+2RTyjxRwh/u7apaHfvH8KbjSOpEkVcbBqfr8busfkuvDk2XyH/+ZVb FDg4vELr+ez4UpTWGnGMJBiYtEq3mm8/UFf9jm///VeilW8X/Vw0qm9ow3o3 qm8ovm1M3zChvfLpBz86PDMlYr3aytDP9PR/aMpD9cxN0+fJMLDj1GCvzWMW lm7T2XfWj4fnLbb9D0s5mNxpHNHsSYMNLgX/IOP9fNz3iGk3DQHR01bs3V6G hoLUvYrzeTAtqzx95S4FYj/tN/h8oeOyxe0NlwlOet7MrDQ24cD0n9i2lg0U vJWWeL7QhOSfwgvTMncz4PlWSXySTjlWSuxqso7hwZN6m+7tw8AC42Mihdbl kKwNuLeB8BGjiaYtMVvYkDkh90rfuAhXbx5eadhPRXKowc9DF6goqXu86Fcl AwnL+85uy+VigWdHjEcGX5/i0b7gsmKYplRISfyh4c6sMb3FLzWmo3qLbtd2 j+ot/lfcBYt9XyOtx4Gbus6xPdMpCJ3nWFemTepEgrL1oQd0vFlW6SQiz0LA v6DUAzY8TNN982fqdQ5KD93oUDtPhcy1HO3J6QwYarPmRAdwELou6O2ZlVQI qx7W7Cb5zLQ8fdn0UoJXfotGedpVQoFVFylM4SGz7ZD392ml8Jibkcg7QsEy geW3v0tx0f93VdU5JslLz+acYziX4K6l18691nQcdlGR9CZ8dm6avuHrczQo 762+b0bivC1KyU+/jwOVxPfzD6vQwT3JqvylyUT5k+y1e4zpeGkyeR39WRna 1YN3Oq3mIfZkv+OydWx0Gc/6YidYhJCDn1f3UanYNySwtfALDWvtEr6sUSuD /TReWIg0D3KtziORWhwM9z5ZcmywFJ5mfZsOEn7+/vyN1XvusZGSknDc+mYx vm1eUHW0jIbl959v4udnTQtxV35+ljAOyuDn57ALgVoJcVR0aUzkbeMy8FfO d+jyZy4+in+wmLmGjilP82J4aWX4mRTcV6bDw7cM7uVJzuT9SescEX/PRFTl iiqfQS72rpKVeCHCgR1VLL7CrBSSc8NDJrfTEXrc6Ro/P29YsPMzPz83P9tZ yc/P6ntrdPj+r8w+G8D3f2VDeBff/3/lgWcvxvatXNLYvs0SG9u3Clnz9Ofv p8BM11XwCMGrGm8Wi/zw4kJs2jXx1FVsfFuW6fu3oRB/vx+IlHtJhepC76P8 fOh3p3gCPx/+7l64np8P23SWHubriex+qWRw7CJ5j1ENS/l6IgdPWBnN66Ii Zz2NtsyEiVvnkzJba7nwlNejPfnGgFKQetrGrnLYz/e4Gf+Ah2KxyY62hP9v 0HQX+sgqQ+ZX32fShjycn1xQdmhxM0Q6E+8qWzIw7/hZ5aIUJuob8UOylo2b mvnGPhdLQH1X6yFwiA6tf3P2NxNc8kvXcOuGhHKs8ootsbrLw6Dyr018ndOO 2D+pfJ3TV2ffuPN1Tl3nj9Up84j9o3XK4MZYnfrYPNYPuf70WD/k7eP9kBOC Ekf1uTauVdPk63OJbf03qs+V43bOR4xFQ+DK65PtdAl+ntalrCLHg8aB45s2 nOLgYidJ5PJU6F9dEkmPYGClyqMPw2T8zCvr1m+KKIHtAS21AFK3NiQc9dne Q0VcZqBfmBkTMTN0KoO+cSEz/5DL3r10fDWbP5JXVoaBWEd2+Xqyn2Uz+9N9 Ofg4c7pitBjZ93X7fCZdZCDPekJi3kEO6jmxccOVFFBPhbhkkjwVLK2dmEhw 3fPSf5nbCa47dch19haC6/4oz9IT02FA+PpZLredhdbFq7Urw3gwXFMw2vcv 8fe50b5/C9Y2jPb9m7N51mhfvly9itG+fJzf5qN9+d5qXRvtJyb5KWi0n9ik n46j/cTMlN6O9g2rdG4d7Ru27t2EFn7fsKfDVOvAsxScEy3aKnOG8Dfqm/fr T3ARe3z2zr3rCS8LoIm6TC2CeTEzTodJxZN5z1P5ekNu4ffb+HpDZ70/T+fr Dekf2vt7/o0m4PMNMYU1X8CcrZbWNYGCMFPFgiFPOpqwv6CxtgzzuV9fLiN4 QFD+6KjuTGDavlHdmQexjDHdmWtjuu3fGdmjuu2hwfmjuu179KbL8HXYVRsl Gvk67PNfUkd12K0+jum/P1AZ03/fvmhM/32BUuGo3npie8Fkvt66w1SM6q3/ l87O9eMP+/h61rceta3k61l7lqT18/Ws/7osrV2aWwSNAUFO8oVCDDs0/LI8 2g4H8dQzfJ2Os+Eqq/k6HQpn/qzg63SEdq8d1QeZu+O8Fl8fpCX+6m++Psi1 s7uy+PrXHiEX58ZsLUM+/ZgvX/9acuLqTL5OekRF8Ce+TvrBDz6OfJ30Jv9n qXmbmpE9L+ztnmIGWhxmIambCY3kLcPKnWySD8plwypLcCNVtFzpLh1mq5wG 1y1rAgU71G9e/QTfzfrTDTpK8Dj68KRJCgwUrr4m+jKHBeZDpYjF/jxUqkbV +dk0wfaRpMLnTa14OClX18u4E9IXc3oi7dno0PsWHHG4CHda7pj9nk5DMsX+ tu8rso+Npe+C8IBJzQEKsy5yYUjdtZBO6myj3YLmBSZFOFE2jVtN6mxG8+Jc SiADa66W+u1xK8fW36fPySbwsOr3pnMvhJsxr0aRqvKIjmzt/YvWOzL/0z74 RUJ29VU28r2ewsa2GDe2SPkpp5G6vDu8drcrGy2+S55tjC1Cjs+ctRZLabif H9Pyz4CKwiWOe/6FMVAm83tdxGMuYqyaFgXrFWOBm6nZm0tFeLK3IGvoWjuO 5KSxhaayIRoxw61mQSH0wnTja9ZQcTRT+7AIg4KQBxMOLJnFgH3X9J7gSC4U ZV8emL23FCL7bmZMUKHim+C38AVqXOg+16xLK22CnXCqhun8AhxebWr3gvBs Y+ecL/amHExv3LLO2YyC8xYB7jdNGWjYF1VvtfsL7rSdMbB0zsO8pM4LAyFt cDhSZvYjsBm3F94KexPBxN4txhsfuZVhidWHgYuaVGTfPqLx4ywDLnfMPmU8 4OLhiaobb143YabOtYC+qi/wj/pj9WQfBUn2sS8PX2nGy9Sz7fvfMcHU1L+g F1yGB8cPUVavYODD9y29l+pZiH+6yeTBBR5MAvVa879zoPPZirUqj9Tt3o9T aDOYWDSuF9k3rhd5fFwv0rTt83JlmUZUSjc4Bi/+gPZgv7PJQkXo7My/s9C8 AY/3yKYlnHmJRT/rHqXVf8FhmbpRPSyTquejelgFUZ9H9bAMqzGq5/XP6eOo npeoKmVUz2uTwjlNvv7UTMsll/n6UwJ3fWz4+lOfJtY28vWnDKWnKntdLcaD rjCxf1QaJiSrGF+souB96JYhRbLfY7mbE6OucPHuqbVtoBvhfbx5kmuSi6D0 cdftR1o0dHvfbc4n+LKxJOGu8QQ6alw3eK/az0VvW8PPZlU2Ls87Il2TXIgd /hGWMVeoUIkUnl9a1AyHlKVpzuFlmCkt3bt1Igu5MwWXl9xvwosX2jkTz3yB 64/I1gY1CiZKjhjekyiH0qBOp8jHGlgLPvXaPL8Dt1SuCQ8/bYbu3aRzayW5 mCFw45rXlw5UG/wMbvzShCWb9eMcphYQvqzmgwsURGYw02FXipXLO1/FCFPR qKrU7riQC+OLTzbX/aThqN3s3coOhGdF7phbQXC1xtxS3WcCZH8+t39j7kDB woCkwdnkd6ZfGev/H64z1v9/KG2s//8vxlg//wnHx/r5rzYe6+e/XmDY9ccc GqB8f02JLxNlh+kjbq1ciNStFXns+x2B2yabKp0lf4cbwzP0OnHQ4kgn///z tc9c9PQZYoBZ427/m/CUFtUXp5Q/kPXvWVsXKlGCDU/ODQXMI/nqndau/tel 8FfUfONXS4XxMapd7HqSzwdS58xeXYqMDpGz94opaH+3PtNtLhdHlpgVPxBh Yjh1lfs0zQq0/07ibMzgQXW/oPEdtQYYLX6tvPLkC8xzrE1RC/8Ciaz+dVeW UZAQcee2DJMGjcycwEW7uUjzcFbOnPUF6qKKh3XO5GKDidhk66NtMIwbCkqZ x0ZM95ulp84S3MXo+l7kS0XC+bNm7+5TcKlPcqcWhQ7b7CeanoFcmFY9zzwi yUC1a1DYhAQW6mhaI5t8eBDS2Om3/gsHy+rOx9huI+tce/+0eTcDdlaH7fnj uVQSX8YfD/Olayh/PMcsBEbr/q1ih9G6v7N/+WjdVzt9pTNTg4Eb394LlzSx 4Ibv3RNCeSgZXqPCbOCgb/4/r/dFNKhly827Is1EsfPZsFc7GcjX7KwRWFaO +ycWc7yiSf2aevrJIycGIj7cMv+1vBzGGi7cN8TuxZtwfn4MHfEy3GXxwiy0 780YPriFh0aJzNF5bVrjNzqvfA2N0XltEpLq9vtAx28XbTdfDRYWyoV0HnIg ddY6fHScWS1Zo+O8cPjb6DgdqpcnDEgzsD6C4cp5QHii1bb59Sd5mDHEjefb vezXjdrF1i8btW9fMLxdYiLBhRMSrGxOsfCp4J5NsycP83Ys3RcSxkHcHk7Q MwcqROJ+rVh/lwEEGI+uc02r6ug67yi+MLrO1Ylyo/iqWPzqKL561IdRfMW4 ZDq6bqzWxUf561ZdrTq6bieXmi7OKSF4Y6XBw64DNHw4uy7oZj8D52co7j/y ikPw0c4lyxVo+LZ1sHfOdwZuR4eMPi/ciUf857sUbow+b7hZMdZykANu7VDG 9410PH68hycAJoI62vKiB0j+93MyzzSiI3Jnd8VRA4IX1A6O9mdm6qjH8fsz b9O5O9qfWfDkWP/kDeP9k63G+ydbClzI7ftXiiniRwZnHKbhsJ+UwmEbLn4O 1ijHb23GepVHNNd6Bt46OHe5DjPhIn/1nu2rMixOq39V97YK7R813mzs4mGz asjv6tJmpNk2DttFl0Fl2qpfg+T953hNVsBGDt6bd2/Vt6LgQMj35/PNGaic Zyayhq8P6F/YH0hwmsDPM5ZyBKc93Wtgl0VwoNWqCQtWExzovLfNaxbBgcdz t44+f3F31+jz5W9jR5/futJQh39u4OVwYYPtYxYWr3Tz458b5D8LquafGyjc DxDlnxsIeK/byT83eDDuf+O4/13j/g2Fz88+8q4JNOlvnkubviDsar84z5MC LRH9bTFX6QhwvWP5ZRILIYPT5Zda8v6zz+qMsDEd9pjIMR322S1jOuw75pSM 6lNfFN86qk99L2HbqD71U6OWWzqHaIi6ZRq4gMKExIaodLt/XCS+SWq5J8FB dKMPY/fuUgx9K77WMECH/psxffY51mP67J+Vx/TZmdv05RM82FCwPr979+si 7Hly662tIQ3lhe8MOh+yIfXpsnH+22Lsb+2YZ99Gw0qtDUN8PfGbQkoefD1x +zn5znw98W2z/+Ur/GnEh9yPsZtz8mHYaLS0elcJNKhj31MiJ6uPfk+RTRn7 nkIXDJU9rsjAv+rFziLvWdgsYmsoepaHmOwxPeVNHmN6yg70MT1lsXG95mOx Y3rNF7ljes2rkr4KLSP4YaEmh3GU4Iepa/It7hH8IJ+TZneL8NCuoIvy2WE0 zOqatmn5JCbCfX2NXhFcIdNx7KUoGUckw6wwl+CK5/EKjqL7GBgWWxkjqV+O L2tVolmEF/tPd7ASHebggtKv5otOdCRr+okOGzGx2Hvs+Vb6itHnc3XHnhe3 GHtetqB39Pmd2WPP92xa4XvVphltk8Stp7Yx4GkYWl07uQx/rnOfCIpSoTlz +eFKawY+1+Up3E3kwryF8pRvzziu7sW3628ymsu3W1QfHP5zmo36+DgL/eEi /F232G8lib/GxKohvv2Dq7453z7idu8E3+6Ub1XG77M647i4AL/PKmX7s9E+ q7YbHknz+6ZWdi0x5vdNLXLKecDvm3o6ZstXvj7pnA+fP/L1SWlXCwX4+qRZ Eotr+bqxpz++suTrxv7Y6GHP142VixzAs6gmtHEX5FUsI7gq4nbL8/5SBLh7 nznYT0OEqOu6P7sIzuvvmzBjAakXFlffuUdwkJfOjo7cQ0WAv/fp0iQGJmyM sn30iIfYD2cfWtdzsXpqZ2KUXSu873wzP0twlJ5LqPdsgqNC2LmLLxMcdVp6 RewZgqPagoYilhIcdZDNjLlLcFTBFEszvj6joFqoDV+fsbjqthVfn5Fy+P21 Hs3S/5u9Rhr70437ztibvRd8908G2A5fvpIPdD/g2QT+86D7ATXuqk4E3Q/4 K8hmXzIwv+WqynioXbpsLzPTM6ai+Y39kax54HQlwZAITlf5NUzgdPXbqg6c nv25RMHp2W+DPzg9d33tNXx666n98+0767jXAMtT6+ufPED73h4wnwDd38d4 RvTGJ64r9g+vGKaA7u/jeb4MfI9e9sztuqB79LZLWoPv0XPaw+I/dftj+4zn 05IFzh+1/7UpL+tN/Bn76WYpMyzPnbf/e2bpUUPny/bXjE1O7Yp7Yw8AA5xl rQ== "]], AspectRatio->1, Frame->True, FrameLabel->{ FormBox["\"Y\"", TraditionalForm], FormBox["\"Z\"", TraditionalForm]}, PlotRange->{{-1, 1}, {-1, 1}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{ 3.4439366161875*^9, {3.443936683078125*^9, 3.443936736078125*^9}, 3.443936873640625*^9, {3.44393696609375*^9, 3.44393704884375*^9}, 3.44393714275*^9, 3.443972301125*^9}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Surface temperature ~\[CurlyPhi].", "Subsection", FontSize->24], Cell["\<\ Explore the range of Legendre polynomials by fitting another boundary \ condition.\ \>", "Text", CellChangeTimes->{{3.4439723120625*^9, 3.44397234178125*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"b", "[", "n_", "]"}], " ", ":=", " ", RowBox[{ RowBox[{"Integrate", "[", RowBox[{ RowBox[{"t", "*", RowBox[{"LegendreP", "[", RowBox[{"n", ",", RowBox[{"Cos", "[", "t", "]"}]}], "]"}], "*", RowBox[{"Sin", "[", "t", "]"}]}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "Pi"}], "}"}]}], "]"}], "*", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"2", "n"}], "+", "1"}], ")"}], "/", "2"}]}]}]], "Input", CellChangeTimes->{{3.44393735890625*^9, 3.443937359671875*^9}, { 3.44393741796875*^9, 3.44393742175*^9}, {3.443937546125*^9, 3.443937548421875*^9}}, FontSize->24], Cell[BoxData[ RowBox[{ RowBox[{"Sum", "[", RowBox[{ RowBox[{ RowBox[{"b", "[", "n", "]"}], "*", RowBox[{"LegendreP", "[", RowBox[{"n", ",", " ", RowBox[{"Cos", "[", "t", "]"}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"n", ",", "0", ",", "5"}], "}"}]}], "]"}], ";"}]], "Input", CellChangeTimes->{{3.4439373646875*^9, 3.443937370125*^9}, { 3.44393749965625*^9, 3.44393750025*^9}, {3.4439375668125*^9, 3.443937567796875*^9}}, FontSize->24], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"t", ",", RowBox[{"Evaluate", "[", "%", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "Pi"}], "}"}], ",", " ", RowBox[{"PlotStyle", " ", "\[Rule]", " ", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"AxesLabel", " ", "\[Rule]", " ", RowBox[{"{", RowBox[{ "\"\<\[CurlyPhi]\>\"", ",", " ", "\"\\""}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.44393743053125*^9, 3.443937448515625*^9}, { 3.443937559046875*^9, 3.443937584546875*^9}}, FontSize->24], Cell[BoxData[ GraphicsBox[{{}, {}, {Hue[0.67, 0.6, 0.6], AbsoluteThickness[3], LineBox[CompressedData[" 1:eJxNxX0wk3EcAPDZ0Lg6xMRdROvlartb5Uq7TZYT4k5OV3dF0YNuLdmGi9yc qxNKLZ5UolrWGa6TnGzVpXbtXMjt1BStaGleUnlrrXkw1R++z++Pz30CMXF8 GpVCocT+83/aC1f91+3SXUuv//ac5391X+jSxENO6gc8CR72EtrUuBg2RhS+ rMUL4HdJ+Mbb+BU4Pt3XWIkr4PKZxJbreBPMa492DcvSwpK82GMtkg741OM0 OZXZA/eO7XWpw3rhixwrRX2oH5ayOq5paz/BRMrJBwMZJhhrOxhXdnwITpnu 1WpLzPClLRqxqmgEpmo1wYV5Y7DH5hj958pxOEoRdm8K/wGvmuyOKNBMwFWv njrQTkzBfL/diwGp0zDL5G7Oz56BG+tXClszf8GywSMGVpEFlvJ3xtyp+A0T inDse5kV7pFUJeco/8DcyLX2gRob3LmHWy+4NQvXNt/kDt0nYAaTLTraMAe/ daCf8302D7fSs1Q9nQswm+Euwtrt8KTc6hX0fhFmFhdzxCKKYOmhwx+NYaPk UcOG2dYMBzg3M03o/ZM8Vl0d7X2aCk/Mi2Q0K3lN39lHGVk0mBCGJJ+ZI/db KE+Q5jnCI5GlXXRHJ1i3oTvUv5RcRFc5Bro4w5q760J05eR6Hr893mMZbBNV 70+Wk3fEKQ6s8KbDGJdfV1dBruzPT//i5wKziwjDNLI6KIdH9Sd/LZe4MpEt 4Sn1qcgRzVHmUeTxC56JE2vIs4PLdHZku3k5yy2A3FPgTHCQ+VbbDSmyHBs0 WJB93BN4ToHkyrY+JQNZ4/NGugPZpNe55SKLZIKcEmTLprbBSmT6eXXjE2R8 WxCjC3m1qUlmRFZdZpvHkbfyGmLmkP8CYdAtMA== "]]}, {Hue[0.9060679774997897, 0.6, 0.6], AbsoluteThickness[3], LineBox[CompressedData[" 1:eJwV03k8VV0XB3BTzrnS4ImKMpSIQipCl9Z6JEUDpaikwRwlQ9KgeklIJSRD ZSpj5oyFwjWT5xojDciUSkISct99/zqf7zmfvfb+nbX2KstzB2z4eHh4eHl5 eLhP/tdCjZ/VXbZt1Gs7cucJC+S+vGJK3TcC6YW2/RHE01kbrDtDToDtrLrf K+LsSWgTybCDVkUV+EvcL2o/lR9yDgrPKiw49JQFd8RrFmQUucHpYz9GK4kT FY7F8GR4gMPObcNG8Swo1RhVNYm9AmE6ZVNjxO/0fcoTQq5D2nyxlZkJZL91 wus8y72gWLvaxCeRBX6b2l0Tim5AvIRpjGsSC0S3xhY15t6E8AzVuUvJLIj7 10FgKt0PWGX55x6msEDFQG3vqqRbcOKj5njLMxYUGc89MIy9DWNGU37yaSxo OxGyNirkHugpD/UszSR5Nqtofq4MAjUeo4TcLBZ4aNx/71EeDFumTlxwfM4C AbCQiyu6D1sTd+isyWdBnW55rXphKEhMtavKF7IgWH+tU13uAwhLua3870sW SO37mT+eHg4jEht1yl+xoG+/qbn/swgwa7Peq1DGgtRDRZyVSZGQOPjvqSQW CzQtbu7Sj30EyQJv747WsODAGfF3ESExMOyu1pDRygJhTXgdtjMWfB/01b9/ y4LRFy4iPZWxUP7BpUy2iwX5Je157uVxUIdSvrM9LNheGTsXXfQUUN1ga+co C+R3thh/0YqHXKu36Y0TLBCqnfd0c2E8SMhnzvswxQJ2g8POmtwECPAwOazH WwEWrWpBP9OToPFrI+osqQA0tetlKiWD63PXwD/LKmBNR6Sa77NkKJUTSm1c WQHDXXMdEkkpoF24ZwdLvgI8Ptes0otNhTtdp5PbmBUQPHYsJywkE5ae9jF8 7FABd8UeapcuyIIzmQctz7hUQHP2TWn1A1lw0Kna8sjFCjAfPtYv1ZUFhZr/ MQJ8K8DJfL7L2LdsmIWwUzviKyBUx94/cnEu/De257p0fwV0dpo4LjyUC9Ny VolF3ytA6gLsuxGZC8VjAxbnJysgKWOp6NnVedCU5WTDpCvhpXRlDKrlg4RI 5hpp5Ur4xLu6YNCsENZ4jIdqeFbCmugFD489LoRNUtHPI30rwX7rH8+m7kJ4 9zl9YllwJYy5snWLTr+AXskDNfaJlSDQd60x8MpLYK5jdx5troR1VV396jHF cFFpU82lDVXArDQU0nUrhUgPR2H7uSpY3Jr4n8b9UhD+PmtiMr8a+nr5Hijn lEJG8RoN0+XVEMhTJC0+XgrZG25nPdlUDb3M9eqjrmWg2Sd075B9Nfg/n38y 2rUcIj+/qF3RUQ3tMQ150+Q/1p3+NfO9pgZSMxSujAZXgKrge+vijhr4X4kP DmRXgLXw6IG4oRpQ7NKub/pZAWLi/4vIoGvBc2l6d7JLJfTG5hS1GdSC7N27 881cqqBe3KNxL7sWnC/vO5XjXANCgW9WRH+vA0Mn7WQ6qAZuWf640sCpA1nL dT8sMmtAetVr/UX/1EO7geBVeqQGGlUWjTdtqQcd8VcRFo61IFb71tvQqx6E CpXZlG0dVOnu0uWIN0DCL2E4Zt4A7W4mDuuPvoGzhTaBfLJsWB/YvecWg03u 834ZXjU2MPOP3JsRY8Nop/Zzjh4biuMn5S6uZsP5mSXts7ZskJbu2BDEZMPl beWSv5+xYTCgq32rExt8K6TSv25qgqxEWXu3NjbEst/Wt+o2w42jTac1U5ug dciAkWTZCqcDCtZqu7ZAwIZJnvwjHfAwseX55eVvwWV9zYPShPfQYTpYvOds F0xbOWZ8cOoGGWVh5/3fP4FlialxkG0v0CFOmUZSvWD1s7W01L8PFkv25m73 6IM7qgXnEn0HQNrdWj4/bgD4Sgs0fC4Pgc3JNyuM84ZAZN3uxk8Rw2CoKmLi 2z8Mu2J0n46GfAO1rz1HXLu/wbIfDfrXC0ZAMSx/p+jvEXhY/ZKX//QoJFb/ 8Y/3HAVtyX85MtY/Ya3qkJe4w09Y37247+r5MbDYlDbxwXEM0pP/sc9zHYfY l+d7vh8fB8+PFi3rfSdgJfvjtz6HCXDR1twdHfoLTrfLaCV6/ILpGD3Lr0GT 0CB3V8DTYxLYzg9Pejz5DRvXiTeEBP8GrZ2r5z7ETUHR2ob1/Y+moHaHVjI+ /gO3Gunkibg/kJAdqdWbOg3/3NRVViqZBjFZJYfjKTOgpp/49X75DDTz0t7i xbPwRU45QqpzFvJot0R27V84PG+wvafvLyiJLXawrJwDBefOwIjOOfgROCm6 uZ0DNpJfWjw/ckDWz2/DOQceVD7d9LfUjgd7j3a90x3kQRWRGf+KDzy4q7/l T54TLzbmbjcXOMGLF11t7Jd+58WjqnE8o528uC//keHSC3yY75rQ0GbJhyOz Dp78k3y4xDjsbPoAH8a99cp1cuPHb6fGe7Id+XHaXufkpRl+nK9RfN+Jw4+S f4PNXS4LoOQfyW/LbwvgwM7bdbTAPOxR2TfZt2oesuQbQOr2PLyb92lC9Pk8 dKATBVYxBPE6/9b3KRsFsSB2jQ4rWBAFdRa37c8SxDUcvStl9wUxNMIWFj4X xCALmxevHwji0Ud9ZbU5gmgvkaheHCmI5YsK528rEESJ0LUqeXGCSGU4Rq54 JYiefuukk7LJuqEtLSn1gqjrpMp7u0kQe4pLrgkPCGIjU7vygAiF8wd/RL1Y RmFAofuM/hIKHWvOJymLU7hTPXMjU4xCz/7wx7ESFJaqrI6WJe+bzkbp35Ck MGcV7TEhQ6Gm5t8bTFkKI6hWhTBVCv2dNk5dUKHQqsXxTqcRhYfh8zVRPQpl jBPK3+ynUOeuwg3rHRS+b/g4VWZCYbekkHmOPoWmVfttnplR+LCnzHuvAYW7 Xmhsu3KCwpvdnCi3fRSqxPCPrjxHYXytkY3vYQqnHB6ZnAyk8LZT7skyRwrv XX5KXQ+ikHnJLo3/LIXyAalFUSEUnpML99RzovBQSpFsVxiF6m4rk8qcKXw+ 2DV+KIZC7+ZXC565U3jGemXo7iwKnx1QP7PpOjmXRVTrlmYKJRUFx1cEU+hx NsH/UCuFaXeX6ymTuguvpmufbyc5Z9/y6NwnuR6XxGe/ozBB1vul2QOS492H 80qfKRQxLJC4HEnhQTMpsdUTFI6+uDruEkdhjXHMoQVLadR7tNxSkezrUNH/ ilpOY33z/GVTxAs0lRT4JGhsH3t5pDKbwgPSL6YnJWkUsLf2Nc+hsOt7c0y3 HI2bjuSfu5BP4UiA4HCOOo3dzY9X2BZTGDS3xyRDg0YrS9Z5yRIKN7veL07W otEvyupgC/HFIzL3onRo7Gi2SNj6mkI+ha1qfjto1P/r5f27jEKxyrPXjh6i MaI0ulGxmsJCzdzBg2Y0ZirJHq8lPpo2bWx0hEah1IKzdjUURt/3k9WzoDGN HTo/ppZCBcu4GmUbGiUefNOYradQm9P6D687jRc1Twg4sSn86LrCc+YCjWd4 Njj8IvYaONX/6yLJa3DT8EoThVVvRgqGPWmcBe9L3qQPRo9pi1Yfks9Owv8a 6YOllnZSUiiNGneeyil3UPgJ9gc2hJH6e8/sSSA+pm/r/jOCxlYzhfgVnWS+ TIK2M6NoXNeu2M9H+mR4tu9TYwKNwnW28UVdFFa7/akaT6LxJLYZyL2nUO/y wozlz2gMP1AgeZd4m5+mp2UGjY8bM4zMPlC4Ke7O8sl8Gif7o1vbPlKYmRTH kXhB4xVOa7/qJwqVMvIHoIhGjv5+2QBi+aLu3FuvadTaJrVao5tCiTa1/ZI1 NDITTyhc6aEwvMtAU7eORt/JJQ+qiUV7j0vbNdC4VEBN6Z9eMm8//L9nsWkU G+jtiCPmY3y4pddJzjvjLp9K5uz6ojHn01005u780z1EPCtGHQ78QL5fP1Wx po/CydUb5Tt6aBTV2jIvnNhNUX/B3880BtUaW74hHt1gPrFqgMYSy7RB3n4K h7VvljsO01hnGOxgQ2y3/WFK0Dca329usQsl7jPIDMobodH2aPWdMuKPpp3H OWM03lihv3fpAIXmFiM71vyiUar3/pAOcYcVv7LBbxoDt0mkWhE3OyvPhMzQ GBxjk5BCbOSh21vwl8YNdlPva4kbrprVvufQOGV4gjlEbOBzJouXj4Elnj6l AoNkPgK8wuUFGNjqZXJGmnh7cNi13YIM1N78YpsmcWl4qo0zzcDMkqcaRsQ6 0aV7HggxsCqOz8ya+GV82+aXwgz8m1P12INYI3VY4tNCBr5d2UvfIs7N5vAK iDBw5PCuRxHEGwtFvygsYSCf1ohJInHGK0X2XjEG8vfWbnpOvL5yW4HrMgau e9OsUUycXG8SHS7OQE41r1UFsVyz/c3iFQy0mDDOrSN+0nH1TI8kA31qitb/ R6zkO93ykzgj97E+1/mbPZh8UgxM2yFyiuv6QGchWWIZ07xQrif0rJKtiU+p fpnk+trYp0XuxA26dgvZxHTsMY+bxN/+XJTjWnLmkH4isa6p2QGu9bN39Q0S t1ZxErlmH6/cPUUcMCdRxPVRYd0cWpqB797VNnJ9zo7prUis6dU7wXWEpIqM I3G8D4fZRLy6/pnfFeKm7oI9XKddXPvjNvH1Hn4LrstaZF6lER9mm3pyPXxr ybER4kyroTyuz2sEsea49T7rsLie6xNev0iGgRS9ls31EhSc3kAssi13iOvo 796nkDjH6PAE1wqPODXGxEXzgjhca09OhbsQTx1/KdrMnZen7hwv4rV86VJc G+8fsw0hLjTYrMC1TdpX9RzikcppLa5Hj9hHsYhDp5m6XF+m+gVaiUNaFhty HWj5sWWC+IGr+2Guly82Z85bxcBIzXknuH5S8vaJGPHPJwo2XCs5HhSSJ47O /uTAdcHyJpctxFHW65y51q3a26lP/K2Idue6wa0OzYjvFVy+xLXpqp3JdsTe Zv+7ynV3I2vRRWLWI3Evrh080cOf2NRH34frCcWSjxHEW0QoP66vvdXSTyG2 0jW/xTV9Mz/9BXH3su23uV7Znen5jrg0881drjcyU3bPELd1JAZy/X/IAl3z "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->{ FormBox["\"\[CurlyPhi]\"", TraditionalForm], FormBox["\"u(\[Rho],\[CurlyPhi])\"", TraditionalForm]}, AxesOrigin->{0, 0}, PlotRange-> NCache[{{0, Pi}, {0., 3.1415925894756573`}}, {{0, 3.141592653589793}, {0., 3.1415925894756573`}}], PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{ 3.443937389421875*^9, {3.44393749225*^9, 3.443937506671875*^9}, { 3.443937561140625*^9, 3.443937589921875*^9}}, FontSize->24, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXAlYVUeWfvIeilmmM9OTtN2d6dakO52e6UnSM2PansmTzQU34pYRt45r GldcHiDIKpsKyCICD54gIoKightGRZ+K+wIJxmhcgruoMfq5IEr09T116t6q e7n1Hsb0fF/PTL54gXp1/zp1zqlT55w69QaMtQROnDbWMmn82M69Z42dEThp /OzOvYJmSU3GdgZDu0CDwXCjswF+d0i/0odD+t8xCR7Q4vp3T/LDZGiw+Rnk //xsDW6k2Sg97QYLtpG/dLq+QZpfYF3ZhwZbAxmLhxGgdPlBUBRa7GoMg/Se 3fHMtDwXyps6zQaL/Rk4+zovIneDzWKjQzsMNj8kpT35S3o22Ax+fvznhG1v yoNJM5EAyV8eTuDe0OnfwfkQ8itIOsJ0dDJEF53+Hs6H6KL7MbCPfNzByWg/ RxZ2lxHgLW4Au4UgvEBpon+Sv5yyQh9G75UXXUCjUjwTtPyKM2hZc9sA3TYW daAqqloSFvuvfhgueeij/5pbK3a7Q8F1gv6mzisC2nl0GckF+s81K9JP5jwo I2pcBx2pyFwiWkmn3dEJRhdhfzXum8KFQXA6OBmic1teFYzGll5bR1PxzYSD KnJwCKTPGy9qESkXWiFolwffVRe1la31cAYs7C3AFsxP00zNO78bv4rzoFs5 3WngOcjF5/0UXW4w2Gx25S+p5z/iHwNr9jTAe52vXbvLv+OO76j2KIfBjX/X VDd+3Bp493a/PoVzSlbUkdf7yuogMQFecdhtRO5UZdohwo/gB/xi6A8PxTbY 7biVSiyx2VFZbLaGdiqSvepqr8BLDk+zVZo0eRYmJe7qdOvWA9LDTYcdHX7g No//gTH+n+a/zXnw3pesxRaLXaPN3KKFxQOLiGqzO/w+ZkvVKRmRoHf8P8bF /y00/+3Ow10y2rhR4z6HG7hKfU3ya2B8S2Njqk1ojw9MCqx8+8KF26TTb3RG eK+Nbe8+R78uPKXt1bujw+F36ODFhmEfraQUJ1lzD3k8evQd+ThAB21cG9tU o6o/ohsTDAPDPezpa5M3MKAEKMK+8OzF4RAYE74NbAX28ttfxdzwrcr2R97u IaYCzZMRDAwYGoLghjjyTs5wfBGHbr32jdOXABb8NLiRp0dpdczymKMFn8I/ v4sHT3Zr/OI89H7l3r1HsC1T/oKz0O3EF40M2lsF7bCaZ5JdXfpp8CBPU8PK j+K2VFmsyzYllp+fPHQphcpJTakBdAblKYZ6mTzbP4n1jHSMNy9wDDRnAMq1 QR8WAwd0Xve6UnsGXoefBjfybD/mVNUhmGDSodxNFVvDC+rWjEt5aPMNRkLd HcnmUMcn5iRHX3OWPWj6RlR9gDNrpUijDuASgBbuSiyFaXbAGTvizHMfT/BO TrYuOQBqQjD+SyxLDPZMne9euwVoQBqQ5U7QjI5s86x7sb0SJu7e+DmS859i qL/Dtk4Pbt0NOFtdC2KVFg3BuZk5IK7f6f2nGMP/IMb5e2x75dG9psATlftu Lu0fZaD0nLMNW0D4qeB0FeNQaQz5yn78ctbgJMofgnN6xYj5oGoM59/FOK9h W8DB6i9vx/aZz+PUVE5ZLKsr4vxejPMTtngTivMPtFg8E+R55dSklAPfGM67 WrH/FN8GN3tX2LS1jjnmWJmKu0t7h82pW1Ht8d2jFnz7HTEVGDIRt/3GiAFL eZzzJUPjBjbsqWdU/E6Mg1GGCZYRmCKyLCTdo1CwstWM+Wcx1C8Q6r0zp78h dmmkOcWxyBxiYrwBXWBQb4uhMPw0zShfXX/Hv0+BY5I50bHYbDEi1LXiD6NA yxnUb8RQaIZN8r4EK9MRY47gJvj27QvXGdSvtRKjURsY5ZOjR64i08pQaGmW VhkYBCa0X4lpwY9MoDoxhQVHm/v5Wh1B5nhKy8lVI5PUzH5DDPUWQoGB2RJs qSJySzSHUygwT0iRDNVZDIVyMAXsqD4L1pAwWzIYRhFVv0QoEho6tKGv4RkS mCYdYn7L9DFtceZ+xwDzYqfz+idKDG5mOjk+FylQow4N/0JNs7RLkdBWzZDT pcMT1Qx5naOhzQlEwid3eA2HM8J+2zzYJxumKy9l0CwFjDx/5mosQTZLj9fv sKVBdAg2LrbKasvHp6qXxk/VvG6dyNFLC7nrDPweM17Xh/kXwno00FFbrF6z wQiyUTup1E2TJBGlBvWm+3uNaoEXwMR6rGx8mtp2vyZeMrjNGEFDTk4ZXUxE JhuEXJ+QyZ9X7GM4r4pxujLRt0zzmg/kyDj1yz9epKbnx1rL9D6+DfLbM3dq OU9FS7ZXcNi+Yjt7+x/EVHTDNrBw90N7LqA+A+7U1mELf3mn8TbDeUWM80ds A/NWlBtf9TSle6iM8ySruyVzY/pmhvMjMQ76OcZ3G85+cyFhaDpPz820AfFd G05eZTgvi3HQ5zLGVebvaVnkGUYQ3BDnaYY5uKAoaTN6+tDvJTEO5r6NP7lz 60Ht4nG5PD134vyS+h/d9zWj5wWtlLzw7QkHNtQ2ZfjO5amA1VaTOmU5uuzQ r6OYCm/KXcn8VRfNKOSpeBznHRWyruQoo6KDGAc9eSP4cQ9zfOdo6fk6Ylg2 bOGI016Mg5EF8e+2rZlp4+kBTcyzLtyOzjn0M4lxML4x+n+998TNvP7RKnqk 9XB3du9kMBSIYxTj9Gb8ydu+cI2KnvnmsAMRgaWMz61zLwpOH7q2JRN/tWBg LI/TMtMrIaKk6Bjp8VQr6L6MgJhDBVu/y/WcrRAgxQUXpg7JJ4HPE/HY/bEN zO7x0o+TVXOQPLySBfOQpy1iCH9qUiQb+tDqG6pip+S23Jnql05SSo/FEB9S uyJZn53rg7JVVEimGmwNCWyaxRCDqEmRnPNvC/rySm8CoYKxA0bC8msSowxm KpZWk7leRQjlKCSBDQ+0ohjKZNiKj+Hm6LL50Rgm3xOP/d+Mj015PUK1y+Th jB4LplWuqTfcFUMMY3ysqAov1JJ/MmRUAVlpd8QQw7ENgqVzywOSVBCR5qhM a/puYsK+FUOMxDZLXenOVgoBcWFwr4X+B/c2GG4hxHMfsuttvaMYJ9Ztnluk moYUIhyJnlBM5HETaVB8yDaeSxNKiC81ign+QsHQBK2RXFCcU0N6XBcP5OJ8 Us9hHINtM2tX7X6U4x2iZfGl2CEZ3Y/XXTE0/qCjjmWrY92G8OUqpkorfcOS 0HJiLK5SwZoYz3BgZ2eMegOOx7bul+q+vmBTM/dRkk9UaNWKg6THZdWA3KGb 4HhOT2MmYtu0o2v2NWf7hPJjXUwekvrB6Xoc5aJY8T9h9rhsXUzZ0xzmXIFU qm0zi15putdsuKC1HoH44juN5xq/so5IVSlRpteciO1Fe0iPBvHYk7FtwuEN x+6n94rkIa5mDkz84Hw9jnpODDEV21avjCp7KnlPKu8FyJd8ABJPnxVDTMO2 txov3jqVOTJDNZEl3qGRu5ahg3haDBFEJ7JvQ11TSg/VRC7lDknqeuUkyuGU GGIGlYNkp9YsjVgLrpcc31StCi5SkgJfiiFmUYlcOnfj3PxhmTwVoB2Kp3tC K0oLvjilel0tqKiK/PwhCe9fO4EKdFw8djBdZtJSWmuduxaWlkx++fqIEoX8 z8UQodj2/lcnrl+ZNyiNd/PBXoDdID0+E0OEYVtimbUGDBk/kbPLAliEXiuG CKdGWDK0++MmlYDhlScCDpMykaNiiAhsg/0C9g1+IvfyeoV9dGYnTuGIVg6R TAeyrak7ScRHxz5SOiFDCXQOiceOxjbwPE6HD88jcqBjg6uVsC9vC+lxUAwR S+105aq65nCfeJU2LB0SrzBxvxhiHmPitsSZa2AfV7RhU2SxwsS9Yoh4bINw 69uQvqk8E+9be4aN+2LTYdKjRgyRwNiZUrBkLyS1ZSo+Kx6bpoTtu7VySGJM rI0Zv4xn4hOJian2rE2kxy7x2AuwbeTubae00SIsKdgdSI+dYoiFbElBoMhn PEo2xJYpGZ5qMUQKtoH/dCFmaKZKE3N6zR1+Yjtq4nYxxCLxktpfHJijiHIr QvxVHKM0pk4HF/y5EDxL3kKH7l2BWw1mgZx7Dk4SXOR4Lh1fHr53+6mmpB4x 2jD/rRsX0QWsEo+lV1OmV2WRyfRTMfl6mYDN4qGeIbGThW1dz528djllcAo/ sduZfWJ8zxxDjdxIBSlwhFznrbKxLWlj7s7v0j1budKfFlqKSY8NqoF0HKA2 TCoH2yDpcDh7olXlbKV7h0M6gfSoFCu4Fdug68MMn3AeAvIYAE16rBND5FFB SivSXjhtqSoYXuQZBqkV0mOt1tCgHpIsA8iAfxFyOiAr0qNcPHYBthVsSFoL vps2kl1ljaoksc9qMUQhtkEGC1Scp6Ipqkc8LAXSo0wMUYRt4GI8klakNg6s n/dxPgldSsUQy6m5kwxKTckUVf7oSbxnRGpxFtrpEjHECmyDQ7C7ub3najXv RtiARSTCWKGVQwkTYNHm+FXaGHRdWvh6EiQsF49dSk3tN6cva93+BxE9EiZX VaDrs0wMsQrbIg8u2/Y42ytYK8rP5o0tIBmFQjHEamopJU8BPAYVE6XtD7ZB og1LxRBrGBNho9VjIkkn2MQQa5koV1TNK9MmvTYtDKkg2pCnlUMFvgguxnWb v2o9NIf6JCpMzBWPvR7bwNEBh0fLxK/mjLARJuaIIdAwGeGYWI+JSjphiRgC /QPj6FOfHtVjIng0JJ2QJYbYzJhYtDWhlU6Cc0qYmCmG2MLYqY3zYSJKnJ+u lcNWupyPFO/QC9Vvzu2fShZSmnjsbUwT9eLuHalBpWRJpYohqjnyNUuqOcEn OmxDMXqxyWIIdK+MQcfKax7m+LTaiyBMggQ69bV0IexMDhXrwot5KmDHXl4U v55ow3yEeO4rD3rbHFo+IwRiV/IGqVzyBwt7Rv/pwKcYmiVSGuS9Wxnb2WUC vSQG6oUxak/hjseyPacDnsgYnQWxMumBXrrKNcHNum25GpKN2sMYvLdgcr6K wZIbtLI0Fk1SHI5llMdqez273gwxejFCjuH6Yn8VSyEXMfroFjQ1sZSl36tA XG9g1Flj7DbbTsiT8AN/aR2VpjiY0XRg/QNkQTm0nvIcovxtute8yza9kA8C wGNYsT5uNYklosRr4Ahl1un6y1dTBqqimaYlPcLHHK/CHhFiCDwOMM6vyNn5 ONl7rsqvtg1boARj4VpbVEvJl4zF7oypRXxmoWxT9EolAJkjHhuDHGOP+iPn b0X3VTk4D3J7zFEyC6FiCKwTMYIXAt6IMLMQLIY4Ti2iZLSVqJJOBNK9SnQ/ WwyBmRvdzAJkrSF7TXrMEkN8ydhJcgyR5iiZCsidKxOZoZUD+oAkloScPB/T l22NLlbIny4eGzNoRjgRgJMBnnw4PYACKNJjmhjiDGNiRVz4Zp78+rIxKeB+ kR5TxBCYTSSZhYvTB1v5iSTvX7JRiaudXCfASImUqMQX5h9uCfJK4g7J4SxH KbgKFKMgo0ma4VDIn1dBRZFMCJwoKRz9RCsKzMaRmkQ4qeLzE6AGM+pXY2Zi onjsS0wN4LyMr4yCsyBlOY4XQ1zBNjitg3JDno9wDqXwcawYAqMbIxxyyTyU JwKVcAoTx4ghGplCKMf73KpSzMOfxBA3mEIQdnLpBXDe4MyV9BgthsAjGRLK g3vIZ+7g2FehYqRWlLeYDpwND8jlx4acrZKhGSEeG8sOjEGbyuu0GZqjBROW KGMHiCHuMG2Ak3aeipYsr5AZe1fhdjlMDIGqauxXt//c/fm9VAfCZxYHpCke w0cI8Vdxk+5jW/myyHLtYcCTzO7Bi1enoWM7lNLQyk1ycYdSbzvH5IDxnSvn rjdm+Kuc1MZE/2TIZpMeeEqr6ykJ80XEPaIDpFZlbXmimRQsOUgNEv+T3m7S c4+eodoJT6tJLuB4/seqqhLIY5KgBXp8SFn4TJff9LJFeMJunHJ47YEWbdAr rWVY0yTM8acDOneH2jDDFmowJOsK1UPakAA2JlLUPUCs61ibYIQCplbhkUQz FDuRGoZ+YoindN3zNQzc0T9U00H5FazIPlqbQRCwNoOcvEM1mIoGaSOBijGo VZScQyEN5OnGCIFaNhUhkhmA+i8oewMD1csFlImR9DjP26KCktgCZXtQ0Ana 6qTgnjzdGVVH1k5M02MPlJlCIsLXBRRVRCiKBAAVFBSiDzany/fhvF1A0Yso 4CNBwacqpg0yx0MRLqka8dKVGM2fwr4oE0PfVgiRL4J0d0HIi4yQA5WB6Soo iZCHfr758g2ND1xAvcyEBrXwKvZIfoUjwLwIOA2bo5PKevKkNfGQN4F7CCqq JP/C0ducLXP6jy6gsH7OCPXLtwv7hLeiStJKuH0RuL7yRDcXUFyFPVwfaMV2 aYIy2993AYW1haReRyN/E+z4UIYrs/0/dFWAIoOj27jcX7VVO2aZ42DRkmst Tgr0yfM1NidQpeZ8H4tCCCzaqeaErSGzNgGnndTok2cnJjS4D6HN00ANUkxJ wSFajSrGwZJbUoNTv3qMuphIIglSRhB/GZxU65Pn60zyV4sGxmhxwJcgx+lO qvXJ8xcM59v8vpGUOQTnZNGoZLi0QXr8VldQnenbUmB7Z3GfaP7tm8v6RwDT iYvspKSePOmd6pAdJfsexPecRxDoNQjQIKhcJiGLk3J48qTl9fLJMJTYwck0 3jgxQak/3ECBSQFZnV2gYfW+O6g83L+BJQCBFHH78GpNe1h1sIiBQoAFuYLl +pkLaGRIezCDpEze02wldwHCzdGQLXsR5w4Ew6UC7maUkV1RccjXYvR2e2lX f97qefJ8my4haYOFG1LcvS4TWOLrof7pu9dMywE+vIREs8sUHIHf6ws1WO6L J0WppGdX1TqAvYSMEDAHRAFSBosPZMn3jfTokjn0DF9hoefckufv6A5Br93y N+Dke2GU94olAW3hLoQZWYk2I5F3VNv4zRFCEv8VP1Bq9LnLfuyCmUP5CoXv 9/0LwtHpbUqw3LLOywyCS4uyz2OQbyU4r9FvQ0aPPOn1APl6JD9necMmPTq5 WLH/hh8oF5JE3xPAF/ozQ4n7nBE2Yr3rkdBOerzqgoquTIIwKk8FUKVcYPyx C5w/MFmQe0gcPXCxSenspNCfPLsx7oL8yOVTikPcao0yC3HwCqEJFg9oIvwD 2lxNw9VXVfCfM2HQVvL7M3x9VVt+f0lerfIXVSiyULeRJ/XuX1RWcwMxgw10 Bg12O/zuztkouZ6BGQXtV3AY1TDcMCZlzRrU/0kGxI0zKDY6BvlntxksFj83 0q89o558BDaTLHk3iqz35R4yVQ02G8tawJPGI0ZuZEvr8FghTPnWA4diFSzy V4e1V0XP8m7nxz4WfG0ISzLY2NsuaVP2JyFtKBQFnfvYXSFI9ytJ2kqQHedH iTGo5WBUSVGWjYpDlB0uvlJChhOJDnW9o8FuYzrLC0BWLvgMNwwP3bv/HM/I Hz2//1JqyxI1tPsLEwWjVQ==\ \>"]] }, Open ]] }, Open ]] }, Open ]] }, ScreenStyleEnvironment->"Presentation", PrintingStyleEnvironment->"Presentation", WindowSize->{711, 639}, WindowMargins->{{6, Automatic}, {Automatic, 1}}, PrintingCopies->1, PrintingPageRange->{3, 4}, ShowCellLabel->False, FrontEndVersion->"6.0 for Microsoft Windows (32-bit) (May 21, 2008)", StyleDefinitions->Notebook[{ Cell[ CellGroupData[{ Cell["Style Definitions", "Title", FontSize -> 24], Cell[ "Modify the definitions below to change the default appearance of all \ cells in a given style. Make modifications to any definition using commands \ in the Format menu.", "Text", FontSize -> 24], Cell[ CellGroupData[{ Cell["Style Environment Names", "Section", FontSize -> 24], Cell[ StyleData[All, "Working"], PageWidth -> WindowWidth, CellBracketOptions -> { "Color" -> RGBColor[0.269993, 0.308507, 0.6]}, CellLabelMargins -> {{12, Inherited}, {Inherited, Inherited}}, ScriptMinSize -> 9, FontSize -> 24], Cell[ StyleData[All, "Presentation"], PageWidth -> WindowWidth, CellLabelMargins -> {{24, Inherited}, {Inherited, Inherited}}, ScriptMinSize -> 12, FontSize -> 24], Cell[ StyleData[All, "Condensed"], PageWidth -> WindowWidth, CellLabelMargins -> {{8, Inherited}, {Inherited, Inherited}}, ScriptMinSize -> 8, FontSize -> 24], Cell[ StyleData[All, "SlideShow"], PageWidth -> WindowWidth, ScrollingOptions -> { "PagewiseDisplay" -> True, "VerticalScrollRange" -> Fit}, ShowCellBracket -> False, ScriptMinSize -> 9, FontSize -> 24], Cell[ StyleData[All, "Printout"], PageWidth -> PaperWidth, CellLabelMargins -> {{2, Inherited}, {Inherited, Inherited}}, ScriptMinSize -> 5, FontSize -> 24, PrivateFontOptions -> {"FontType" -> "Outline"}]}, Closed]], Cell[ CellGroupData[{ Cell["Notebook Options", "Section", FontSize -> 24], Cell[ "The options defined for the style below will be used at the \ Notebook level.", "Text", FontSize -> 24], Cell[ StyleData["Notebook"], PageHeaders -> {{ Cell[ TextData[{ CounterBox["Page"]}], "PageNumber"], None, Cell[ TextData[{ ValueBox["FileName"]}], "Header"]}, { Cell[ TextData[{ ValueBox["FileName"]}], "Header"], None, Cell[ TextData[{ CounterBox["Page"]}], "PageNumber"]}}, CellFrameLabelMargins -> 6, StyleMenuListing -> None, FontSize -> 24]}, Closed]], Cell[ CellGroupData[{ Cell["Styles for Headings", "Section", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["Title"], CellMargins -> {{27, Inherited}, {10, 30}}, CellGroupingRules -> {"TitleGrouping", 0}, PageBreakBelow -> False, DefaultNewInlineCellStyle -> "None", InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, LineSpacing -> {1, 11}, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "Title", CounterAssignments -> {{"Section", 0}, {"Equation", 0}, { "Figure", 0}, {"Subtitle", 0}, {"Subsubtitle", 0}}, FontFamily -> "Helvetica", FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["Title", "Presentation"], CellMargins -> {{27, 10}, {10, 30}}, LineSpacing -> {1, 0}], Cell[ StyleData["Title", "Condensed"], CellMargins -> {{8, 10}, {4, 8}}], Cell[ StyleData["Title", "SlideShow"]], Cell[ StyleData["Title", "Printout"], CellMargins -> {{2, 10}, {12, 30}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Subtitle"], CellMargins -> {{27, Inherited}, {20, 2}}, CellGroupingRules -> {"TitleGrouping", 10}, PageBreakBelow -> False, DefaultNewInlineCellStyle -> "None", InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "Subtitle", CounterAssignments -> {{"Section", 0}, {"Equation", 0}, { "Figure", 0}, {"Subsubtitle", 0}}, FontFamily -> "Helvetica", FontSize -> 24], Cell[ StyleData["Subtitle", "Presentation"], CellMargins -> {{27, 10}, {20, 2}}, LineSpacing -> {1, 0}], Cell[ StyleData["Subtitle", "Condensed"], CellMargins -> {{8, 10}, {4, 4}}], Cell[ StyleData["Subtitle", "SlideShow"]], Cell[ StyleData["Subtitle", "Printout"], CellMargins -> {{2, 10}, {12, 8}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Subsubtitle"], CellMargins -> {{27, Inherited}, {8, 2}}, CellGroupingRules -> {"TitleGrouping", 20}, PageBreakBelow -> False, DefaultNewInlineCellStyle -> "None", InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "Subsubtitle", CounterAssignments -> {{"Section", 0}, {"Equation", 0}, { "Figure", 0}}, FontFamily -> "Helvetica", FontSize -> 24], Cell[ StyleData["Subsubtitle", "Presentation"], CellMargins -> {{24, 10}, {20, 20}}, LineSpacing -> {1, 0}], Cell[ StyleData["Subsubtitle", "Condensed"], CellMargins -> {{8, 10}, {8, 8}}], Cell[ StyleData["Subsubtitle", "SlideShow"]], Cell[ StyleData["Subsubtitle", "Printout"], CellMargins -> {{2, 10}, {12, 8}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Section"], CellFrame -> {{0, 0}, {0, 1}}, CellMargins -> {{27, Inherited}, {8, 34}}, CellGroupingRules -> {"SectionGrouping", 30}, PageBreakBelow -> False, CellFrameMargins -> 4, DefaultNewInlineCellStyle -> "None", InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, LineSpacing -> {1, 2}, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "Section", CounterAssignments -> {{"Subsection", 0}, {"Subsubsection", 0}}, FontFamily -> "Helvetica", FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["Section", "Presentation"], CellMargins -> {{40, 10}, {11, 32}}, LineSpacing -> {1, 0}], Cell[ StyleData["Section", "Condensed"], CellMargins -> {{18, Inherited}, {6, 12}}], Cell[ StyleData["Section", "SlideShow"]], Cell[ StyleData["Section", "Printout"], CellMargins -> {{2, 0}, {7, 22}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Subsection"], CellDingbat -> "\[FilledSmallSquare]", CellMargins -> {{60, Inherited}, {8, 12}}, CellGroupingRules -> {"SectionGrouping", 40}, PageBreakBelow -> False, DefaultNewInlineCellStyle -> "None", InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "Subsection", CounterAssignments -> {{"Subsubsection", 0}}, FontFamily -> "Helvetica", FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["Subsection", "Presentation"], CellMargins -> {{36, 10}, {11, 32}}, LineSpacing -> {1, 0}], Cell[ StyleData["Subsection", "Condensed"], CellMargins -> {{16, Inherited}, {6, 12}}], Cell[ StyleData["Subsection", "SlideShow"]], Cell[ StyleData["Subsection", "Printout"], CellMargins -> {{9, 0}, {7, 22}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Subsubsection"], CellDingbat -> "\[FilledSmallSquare]", CellMargins -> {{60, Inherited}, {2, 10}}, CellGroupingRules -> {"SectionGrouping", 50}, PageBreakBelow -> False, DefaultNewInlineCellStyle -> "None", InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "Subsubsection", FontFamily -> "Times", FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["Subsubsection", "Presentation"], CellMargins -> {{34, 10}, {11, 26}}, LineSpacing -> {1, 0}], Cell[ StyleData["Subsubsection", "Condensed"], CellMargins -> {{17, Inherited}, {6, 12}}], Cell[ StyleData["Subsubsection", "SlideShow"]], Cell[ StyleData["Subsubsection", "Printout"], CellMargins -> {{9, 0}, {7, 14}}]}, Closed]]}, Closed]], Cell[ CellGroupData[{ Cell["Styles for Body Text", "Section", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["Text"], CellMargins -> {{60, 10}, {7, 7}}, InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, LineSpacing -> {1, 3}, CounterIncrements -> "Text", FontSize -> 24], Cell[ StyleData["Text", "Presentation"], CellMargins -> {{24, 10}, {10, 10}}, LineSpacing -> {1, 5}], Cell[ StyleData["Text", "Condensed"], CellMargins -> {{8, 10}, {6, 6}}, LineSpacing -> {1, 1}], Cell[ StyleData["Text", "SlideShow"]], Cell[ StyleData["Text", "Printout"], CellMargins -> {{2, 2}, {6, 6}}, TextJustification -> 0.5, Hyphenation -> True]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["SmallText"], CellMargins -> {{60, 10}, {6, 6}}, DefaultNewInlineCellStyle -> "None", LineSpacing -> {1, 3}, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "SmallText", FontFamily -> "Helvetica", FontSize -> 24], Cell[ StyleData["SmallText", "Presentation"], CellMargins -> {{24, 10}, {8, 8}}, LineSpacing -> {1, 5}], Cell[ StyleData["SmallText", "Condensed"], CellMargins -> {{8, 10}, {5, 5}}, LineSpacing -> {1, 2}], Cell[ StyleData["SmallText", "SlideShow"]], Cell[ StyleData["SmallText", "Printout"], CellMargins -> {{2, 2}, {5, 5}}, TextJustification -> 0.5, Hyphenation -> True]}, Closed]]}, Open]], Cell[ CellGroupData[{ Cell["Styles for Input/Output", "Section", FontSize -> 24], Cell[ "The cells in this section define styles used for input and output \ to the kernel. Be careful when modifying, renaming, or removing these \ styles, because the front end associates special meanings with these style \ names. Some attributes for these styles are actually set in FormatType Styles \ (in the last section of this stylesheet). ", "Text", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["Input"], CellMargins -> {{66, 10}, {5, 7}}, Evaluatable -> True, CellGroupingRules -> "InputGrouping", CellHorizontalScrolling -> True, PageBreakWithin -> False, GroupPageBreakWithin -> False, DefaultFormatType -> DefaultInputFormatType, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, AutoItalicWords -> {}, LanguageCategory -> "Mathematica", FormatType -> InputForm, ShowStringCharacters -> True, NumberMarks -> True, LinebreakAdjustments -> {0.85, 2, 10, 0, 1}, CounterIncrements -> "Input", FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["Input", "Presentation"], CellMargins -> {{72, Inherited}, {8, 10}}, LineSpacing -> {1, 0}], Cell[ StyleData["Input", "Condensed"], CellMargins -> {{40, 10}, {2, 3}}], Cell[ StyleData["Input", "SlideShow"]], Cell[ StyleData["Input", "Printout"], CellMargins -> {{39, 0}, {4, 6}}, LinebreakAdjustments -> {0.85, 2, 10, 1, 1}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["InputOnly"], CellMargins -> {{66, 10}, {7, 7}}, Evaluatable -> True, CellGroupingRules -> "InputGrouping", CellHorizontalScrolling -> True, DefaultFormatType -> DefaultInputFormatType, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, AutoItalicWords -> {}, LanguageCategory -> "Mathematica", FormatType -> InputForm, ShowStringCharacters -> True, NumberMarks -> True, LinebreakAdjustments -> {0.85, 2, 10, 0, 1}, CounterIncrements -> "Input", StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["InputOnly", "Presentation"], CellMargins -> {{72, Inherited}, {8, 10}}, LineSpacing -> {1, 0}], Cell[ StyleData["InputOnly", "Condensed"], CellMargins -> {{40, 10}, {2, 3}}], Cell[ StyleData["InputOnly", "SlideShow"]], Cell[ StyleData["InputOnly", "Printout"], CellMargins -> {{39, 0}, {4, 6}}, LinebreakAdjustments -> {0.85, 2, 10, 1, 1}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Output"], CellMargins -> {{66, 10}, {7, 5}}, CellEditDuplicate -> True, CellGroupingRules -> "OutputGrouping", CellHorizontalScrolling -> True, PageBreakWithin -> False, GroupPageBreakWithin -> False, GeneratedCell -> True, CellAutoOverwrite -> True, DefaultFormatType -> DefaultOutputFormatType, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, AutoItalicWords -> {}, LanguageCategory -> None, FormatType -> InputForm, CounterIncrements -> "Output", FontSize -> 24], Cell[ StyleData["Output", "Presentation"], CellMargins -> {{72, Inherited}, {10, 8}}, LineSpacing -> {1, 0}], Cell[ StyleData["Output", "Condensed"], CellMargins -> {{41, Inherited}, {3, 2}}], Cell[ StyleData["Output", "SlideShow"]], Cell[ StyleData["Output", "Printout"], CellMargins -> {{39, 0}, {6, 4}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Message"], CellMargins -> {{66, Inherited}, {Inherited, Inherited}}, CellGroupingRules -> "OutputGrouping", PageBreakWithin -> False, GroupPageBreakWithin -> False, GeneratedCell -> True, CellAutoOverwrite -> True, ShowCellLabel -> False, DefaultFormatType -> DefaultOutputFormatType, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, AutoItalicWords -> {}, LanguageCategory -> None, FormatType -> InputForm, CounterIncrements -> "Message", StyleMenuListing -> None, FontFamily -> "Helvetica", FontSize -> 24, FontColor -> RGBColor[0.6, 0.100008, 0.100008]], Cell[ StyleData["Message", "Presentation"], CellMargins -> {{72, Inherited}, {Inherited, Inherited}}, LineSpacing -> {1, 0}], Cell[ StyleData["Message", "Condensed"], CellMargins -> {{41, Inherited}, {Inherited, Inherited}}], Cell[ StyleData["Message", "SlideShow"]], Cell[ StyleData["Message", "Printout"], CellMargins -> {{39, Inherited}, {Inherited, Inherited}}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Print"], CellMargins -> {{66, Inherited}, {Inherited, Inherited}}, CellGroupingRules -> "OutputGrouping", CellHorizontalScrolling -> True, PageBreakWithin -> False, GroupPageBreakWithin -> False, GeneratedCell -> True, CellAutoOverwrite -> True, ShowCellLabel -> False, DefaultFormatType -> DefaultOutputFormatType, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, AutoItalicWords -> {}, LanguageCategory -> None, FormatType -> InputForm, CounterIncrements -> "Print", StyleMenuListing -> None, FontSize -> 24], Cell[ StyleData["Print", "Presentation"], CellMargins -> {{72, Inherited}, {Inherited, Inherited}}, LineSpacing -> {1, 0}], Cell[ StyleData["Print", "Condensed"], CellMargins -> {{41, Inherited}, {Inherited, Inherited}}], Cell[ StyleData["Print", "SlideShow"]], Cell[ StyleData["Print", "Printout"], CellMargins -> {{39, Inherited}, {Inherited, Inherited}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Graphics"], CellMargins -> {{4, Inherited}, {Inherited, Inherited}}, CellGroupingRules -> "GraphicsGrouping", CellHorizontalScrolling -> True, PageBreakWithin -> False, GeneratedCell -> True, CellAutoOverwrite -> True, ShowCellLabel -> False, DefaultFormatType -> DefaultOutputFormatType, LanguageCategory -> None, FormatType -> InputForm, CounterIncrements -> "Graphics", ImageMargins -> {{43, Inherited}, {Inherited, 0}}, StyleMenuListing -> None, FontFamily -> "Courier", FontSize -> 24], Cell[ StyleData["Graphics", "Presentation"], ImageMargins -> {{62, Inherited}, {Inherited, 0}}], Cell[ StyleData["Graphics", "Condensed"], ImageMargins -> {{38, Inherited}, {Inherited, 0}}, Magnification -> 0.6], Cell[ StyleData["Graphics", "SlideShow"]], Cell[ StyleData["Graphics", "Printout"], ImageMargins -> {{30, Inherited}, {Inherited, 0}}, Magnification -> 0.8]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["CellLabel"], LanguageCategory -> None, StyleMenuListing -> None, FontFamily -> "Helvetica", FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6]], Cell[ StyleData["CellLabel", "Presentation"]], Cell[ StyleData["CellLabel", "Condensed"]], Cell[ StyleData["CellLabel", "SlideShow"]], Cell[ StyleData["CellLabel", "Printout"], FontFamily -> "Courier", FontSlant -> "Italic", FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["FrameLabel"], LanguageCategory -> None, StyleMenuListing -> None, FontFamily -> "Helvetica", FontSize -> 24], Cell[ StyleData["FrameLabel", "Presentation"]], Cell[ StyleData["FrameLabel", "Condensed"]], Cell[ StyleData["FrameLabel", "SlideShow"]], Cell[ StyleData["FrameLabel", "Printout"], FontFamily -> "Courier", FontSlant -> "Italic", FontColor -> GrayLevel[0]]}, Closed]]}, Open]], Cell[ CellGroupData[{ Cell["Inline Formatting", "Section", FontSize -> 24], Cell[ "These styles are for modifying individual words or letters in a \ cell exclusive of the cell tag.", "Text", FontSize -> 24], Cell[ StyleData["RM"], StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", FontSlant -> "Plain"], Cell[ StyleData["BF"], StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["IT"], StyleMenuListing -> None, FontSize -> 24, FontSlant -> "Italic"], Cell[ StyleData["TR"], StyleMenuListing -> None, FontFamily -> "Times", FontSize -> 24, FontWeight -> "Plain", FontSlant -> "Plain"], Cell[ StyleData["TI"], StyleMenuListing -> None, FontFamily -> "Times", FontSize -> 24, FontWeight -> "Plain", FontSlant -> "Italic"], Cell[ StyleData["TB"], StyleMenuListing -> None, FontFamily -> "Times", FontSize -> 24, FontWeight -> "Bold", FontSlant -> "Plain"], Cell[ StyleData["TBI"], StyleMenuListing -> None, FontFamily -> "Times", FontSize -> 24, FontWeight -> "Bold", FontSlant -> "Italic"], Cell[ StyleData["MR"], "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> {"HyphenationCharacter" -> "\[Continuation]"}, StyleMenuListing -> None, FontFamily -> "Courier", FontSize -> 24, FontWeight -> "Plain", FontSlant -> "Plain"], Cell[ StyleData["MO"], "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> {"HyphenationCharacter" -> "\[Continuation]"}, StyleMenuListing -> None, FontFamily -> "Courier", FontSize -> 24, FontWeight -> "Plain", FontSlant -> "Italic"], Cell[ StyleData["MB"], "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> {"HyphenationCharacter" -> "\[Continuation]"}, StyleMenuListing -> None, FontFamily -> "Courier", FontSize -> 24, FontWeight -> "Bold", FontSlant -> "Plain"], Cell[ StyleData["MBO"], "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> {"HyphenationCharacter" -> "\[Continuation]"}, StyleMenuListing -> None, FontFamily -> "Courier", FontSize -> 24, FontWeight -> "Bold", FontSlant -> "Italic"], Cell[ StyleData["SR"], StyleMenuListing -> None, FontFamily -> "Helvetica", FontSize -> 24, FontWeight -> "Plain", FontSlant -> "Plain"], Cell[ StyleData["SO"], StyleMenuListing -> None, FontFamily -> "Helvetica", FontSize -> 24, FontWeight -> "Plain", FontSlant -> "Italic"], Cell[ StyleData["SB"], StyleMenuListing -> None, FontFamily -> "Helvetica", FontSize -> 24, FontWeight -> "Bold", FontSlant -> "Plain"], Cell[ StyleData["SBO"], StyleMenuListing -> None, FontFamily -> "Helvetica", FontSize -> 24, FontWeight -> "Bold", FontSlant -> "Italic"], Cell[ CellGroupData[{ Cell[ StyleData["SO10"], StyleMenuListing -> None, FontFamily -> "Helvetica", FontSize -> 24, FontWeight -> "Plain", FontSlant -> "Italic"], Cell[ StyleData["SO10", "Printout"], StyleMenuListing -> None, FontFamily -> "Helvetica", FontWeight -> "Plain", FontSlant -> "Italic"]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Inert"], StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.870588, 0.905882, 0.972549]], Cell[ StyleData["Inert", "Printout"], StyleMenuListing -> None, Background -> GrayLevel[1]]}, Closed]]}, Closed]], Cell[ CellGroupData[{ Cell["Formulas and Programming", "Section", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["InlineFormula"], CellMargins -> {{10, 4}, {0, 8}}, CellHorizontalScrolling -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, LanguageCategory -> "Formula", ScriptLevel -> 1, SingleLetterItalics -> True, FontSize -> 24], Cell[ StyleData["InlineFormula", "Presentation"], CellMargins -> {{24, 10}, {10, 10}}, LineSpacing -> {1, 5}], Cell[ StyleData["InlineFormula", "Condensed"], CellMargins -> {{8, 10}, {6, 6}}, LineSpacing -> {1, 1}], Cell[ StyleData["InlineFormula", "SlideShow"]], Cell[ StyleData["InlineFormula", "Printout"], CellMargins -> {{2, 0}, {6, 6}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["DisplayFormula"], CellMargins -> {{60, Inherited}, {Inherited, Inherited}}, CellHorizontalScrolling -> True, DefaultFormatType -> DefaultInputFormatType, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, LanguageCategory -> "Formula", ScriptLevel -> 0, SingleLetterItalics -> True, FontSize -> 24, UnderoverscriptBoxOptions -> {LimitsPositioning -> True}], Cell[ StyleData["DisplayFormula", "Presentation"], LineSpacing -> {1, 5}], Cell[ StyleData["DisplayFormula", "Condensed"], LineSpacing -> {1, 1}], Cell[ StyleData["DisplayFormula", "SlideShow"]], Cell[ StyleData["DisplayFormula", "Printout"]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Program"], CellFrame -> {{0, 0}, {0.5, 0.5}}, CellMargins -> {{60, 4}, {0, 8}}, CellHorizontalScrolling -> True, Hyphenation -> False, LanguageCategory -> "Formula", ScriptLevel -> 1, FontFamily -> "Courier", FontSize -> 24], Cell[ StyleData["Program", "Presentation"], CellMargins -> {{24, 10}, {10, 10}}, LineSpacing -> {1, 5}], Cell[ StyleData["Program", "Condensed"], CellMargins -> {{8, 10}, {6, 6}}, LineSpacing -> {1, 1}], Cell[ StyleData["Program", "SlideShow"]], Cell[ StyleData["Program", "Printout"], CellMargins -> {{2, 0}, {6, 6}}]}, Closed]]}, Closed]], Cell[ CellGroupData[{ Cell["Outline Styles", "Section", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["Outline1"], CellMargins -> {{60, 10}, {7, 7}}, CellGroupingRules -> {"SectionGrouping", 50}, ParagraphIndent -> -38, CounterIncrements -> "Outline1", CounterAssignments -> {{"Outline2", 0}, {"Outline3", 0}, { "Outline4", 0}}, FontSize -> 24, FontWeight -> "Bold", CounterBoxOptions -> {CounterFunction :> CapitalRomanNumeral}], Cell[ StyleData["Outline1", "SlideShow"]], Cell[ StyleData["Outline1", "Printout"], CounterBoxOptions -> {CounterFunction :> CapitalRomanNumeral}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Outline2"], CellMargins -> {{90, 10}, {7, 7}}, CellGroupingRules -> {"SectionGrouping", 60}, ParagraphIndent -> -27, CounterIncrements -> "Outline2", CounterAssignments -> {{"Outline3", 0}, {"Outline4", 0}}, FontSize -> 24, FontWeight -> "Bold", CounterBoxOptions -> {CounterFunction :> (Part[ CharacterRange["A", "Z"], #]& )}], Cell[ StyleData["Outline2", "SlideShow"]], Cell[ StyleData["Outline2", "Printout"], CounterBoxOptions -> {CounterFunction :> (Part[ CharacterRange["A", "Z"], #]& )}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Outline3"], CellMargins -> {{120, 10}, {7, 7}}, CellGroupingRules -> {"SectionGrouping", 70}, ParagraphIndent -> -21, CounterIncrements -> "Outline3", CounterAssignments -> {{"Outline4", 0}}, FontSize -> 24, CounterBoxOptions -> {CounterFunction :> Identity}], Cell[ StyleData["Outline3", "SlideShow"]], Cell[ StyleData["Outline3", "Printout"], CounterBoxOptions -> {CounterFunction :> Identity}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Outline4"], CellMargins -> {{150, 10}, {7, 7}}, CellGroupingRules -> {"SectionGrouping", 80}, ParagraphIndent -> -18, CounterIncrements -> "Outline4", FontSize -> 24, CounterBoxOptions -> {CounterFunction :> (Part[ CharacterRange["a", "z"], #]& )}], Cell[ StyleData["Outline4", "SlideShow"]], Cell[ StyleData["Outline4", "Printout"]]}, Closed]]}, Closed]], Cell[ CellGroupData[{ Cell["Hyperlink Styles", "Section", FontSize -> 24], Cell[ "The cells below define styles useful for making hypertext \ ButtonBoxes. The \"Hyperlink\" style is for links within the same Notebook, \ or between Notebooks.", "Text", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["Hyperlink"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6], ButtonBoxOptions -> { Active -> True, ButtonFrame -> "None", ButtonFunction :> (FrontEndExecute[{ FrontEnd`NotebookLocate[#2]}]& ), ButtonNote -> ButtonData}], Cell[ StyleData["Hyperlink", "Presentation"]], Cell[ StyleData["Hyperlink", "Condensed"]], Cell[ StyleData["Hyperlink", "SlideShow"]], Cell[ StyleData["Hyperlink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ "The following styles are for linking automatically to the on-line \ help system.", "Text", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["MainBookLink"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6], ButtonBoxOptions -> { Active -> True, ButtonFrame -> "None", ButtonFunction :> (FrontEndExecute[{ FrontEnd`HelpBrowserLookup["MainBook", #]}]& )}], Cell[ StyleData["MainBookLink", "Presentation"]], Cell[ StyleData["MainBookLink", "Condensed"]], Cell[ StyleData["MainBookLink", "SlideShow"]], Cell[ StyleData["MainBookLink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["AddOnsLink"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontFamily -> "Courier", FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6], ButtonBoxOptions -> { Active -> True, ButtonFrame -> "None", ButtonFunction :> (FrontEndExecute[{ FrontEnd`HelpBrowserLookup["AddOns", #]}]& )}], Cell[ StyleData["AddOnsLink", "Presentation"]], Cell[ StyleData["AddOnsLink", "Condensed"]], Cell[ StyleData["AddOnsLink", "SlideShow"]], Cell[ StyleData["AddOnsLink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["RefGuideLink"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontFamily -> "Courier", FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6], ButtonBoxOptions -> { Active -> True, ButtonFrame -> "None", ButtonFunction :> (FrontEndExecute[{ FrontEnd`HelpBrowserLookup["RefGuide", #]}]& )}], Cell[ StyleData["RefGuideLink", "Presentation"]], Cell[ StyleData["RefGuideLink", "Condensed"]], Cell[ StyleData["RefGuideLink", "SlideShow"]], Cell[ StyleData["RefGuideLink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["RefGuideLinkText"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6], ButtonBoxOptions -> { Active -> True, ButtonFrame -> "None", ButtonFunction :> (FrontEndExecute[{ FrontEnd`HelpBrowserLookup["RefGuide", #]}]& )}], Cell[ StyleData["RefGuideLinkText", "Presentation"]], Cell[ StyleData["RefGuideLinkText", "Condensed"]], Cell[ StyleData["RefGuideLinkText", "SlideShow"]], Cell[ StyleData["RefGuideLinkText", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["GettingStartedLink"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6], ButtonBoxOptions -> { Active -> True, ButtonFrame -> "None", ButtonFunction :> (FrontEndExecute[{ FrontEnd`HelpBrowserLookup["GettingStarted", #]}]& )}], Cell[ StyleData["GettingStartedLink", "Presentation"]], Cell[ StyleData["GettingStartedLink", "Condensed"]], Cell[ StyleData["GettingStartedLink", "SlideShow"]], Cell[ StyleData["GettingStartedLink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["DemosLink"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6], ButtonBoxOptions -> { Active -> True, ButtonFrame -> "None", ButtonFunction :> (FrontEndExecute[{ FrontEnd`HelpBrowserLookup["Demos", #]}]& )}], Cell[ StyleData["DemosLink", "SlideShow"]], Cell[ StyleData["DemosLink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["TourLink"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6], ButtonBoxOptions -> { Active -> True, ButtonFrame -> "None", ButtonFunction :> (FrontEndExecute[{ FrontEnd`HelpBrowserLookup["Tour", #]}]& )}], Cell[ StyleData["TourLink", "SlideShow"]], Cell[ StyleData["TourLink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["OtherInformationLink"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6], ButtonBoxOptions -> { Active -> True, ButtonFrame -> "None", ButtonFunction :> (FrontEndExecute[{ FrontEnd`HelpBrowserLookup["OtherInformation", #]}]& )}], Cell[ StyleData["OtherInformationLink", "Presentation"]], Cell[ StyleData["OtherInformationLink", "Condensed"]], Cell[ StyleData["OtherInformationLink", "SlideShow"]], Cell[ StyleData["OtherInformationLink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["MasterIndexLink"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, FontColor -> RGBColor[0.269993, 0.308507, 0.6], ButtonBoxOptions -> { Active -> True, ButtonFrame -> "None", ButtonFunction :> (FrontEndExecute[{ FrontEnd`HelpBrowserLookup["MasterIndex", #]}]& )}], Cell[ StyleData["MasterIndexLink", "SlideShow"]], Cell[ StyleData["MasterIndexLink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]]}, Closed]], Cell[ CellGroupData[{ Cell["Styles for Headers and Footers", "Section", FontSize -> 24], Cell[ StyleData["Header"], CellMargins -> {{0, 0}, {4, 1}}, DefaultNewInlineCellStyle -> "None", LanguageCategory -> "NaturalLanguage", StyleMenuListing -> None, FontSize -> 24, FontSlant -> "Italic"], Cell[ StyleData["Footer"], CellMargins -> {{0, 0}, {0, 4}}, DefaultNewInlineCellStyle -> "None", LanguageCategory -> "NaturalLanguage", StyleMenuListing -> None, FontSize -> 24, FontSlant -> "Italic"], Cell[ StyleData["PageNumber"], CellMargins -> {{0, 0}, {4, 1}}, StyleMenuListing -> None, FontFamily -> "Times", FontSize -> 24]}, Closed]], Cell[ CellGroupData[{ Cell["Palette Styles", "Section", FontSize -> 24], Cell[ "The cells below define styles that define standard ButtonFunctions, \ for use in palette buttons.", "Text", FontSize -> 24], Cell[ StyleData["Paste"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, ButtonBoxOptions -> {ButtonFunction :> (FrontEndExecute[{ FrontEnd`NotebookApply[ FrontEnd`InputNotebook[], #, Placeholder]}]& )}], Cell[ StyleData["Evaluate"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, ButtonBoxOptions -> {ButtonFunction :> (FrontEndExecute[{ FrontEnd`NotebookApply[ FrontEnd`InputNotebook[], #, All], FrontEnd`SelectionEvaluate[ FrontEnd`InputNotebook[], All]}]& )}], Cell[ StyleData["EvaluateCell"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, ButtonBoxOptions -> {ButtonFunction :> (FrontEndExecute[{ FrontEnd`NotebookApply[ FrontEnd`InputNotebook[], #, All], FrontEnd`SelectionMove[ FrontEnd`InputNotebook[], All, Cell, 1], FrontEnd`SelectionEvaluateCreateCell[ FrontEnd`InputNotebook[], All]}]& )}], Cell[ StyleData["CopyEvaluate"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, ButtonBoxOptions -> {ButtonFunction :> (FrontEndExecute[{ FrontEnd`SelectionCreateCell[ FrontEnd`InputNotebook[], All], FrontEnd`NotebookApply[ FrontEnd`InputNotebook[], #, All], FrontEnd`SelectionEvaluate[ FrontEnd`InputNotebook[], All]}]& )}], Cell[ StyleData["CopyEvaluateCell"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, ButtonBoxOptions -> {ButtonFunction :> (FrontEndExecute[{ FrontEnd`SelectionCreateCell[ FrontEnd`InputNotebook[], All], FrontEnd`NotebookApply[ FrontEnd`InputNotebook[], #, All], FrontEnd`SelectionEvaluateCreateCell[ FrontEnd`InputNotebook[], All]}]& )}]}, Closed]], Cell[ CellGroupData[{ Cell["Placeholder Styles", "Section", FontSize -> 24], Cell[ "The cells below define styles useful for making placeholder objects \ in palette templates.", "Text", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["Placeholder"], Placeholder -> True, StyleMenuListing -> None, FontSize -> 24, FontSlant -> "Italic", FontColor -> RGBColor[0.890623, 0.864698, 0.384756], TagBoxOptions -> { Editable -> False, Selectable -> False, StripWrapperBoxes -> False}], Cell[ StyleData["Placeholder", "Presentation"]], Cell[ StyleData["Placeholder", "Condensed"]], Cell[ StyleData["Placeholder", "SlideShow"]], Cell[ StyleData["Placeholder", "Printout"]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["PrimaryPlaceholder"], StyleMenuListing -> None, DrawHighlighted -> True, FontSize -> 24, FontSlant -> "Italic", Background -> RGBColor[0.912505, 0.891798, 0.507774], TagBoxOptions -> { Editable -> False, Selectable -> False, StripWrapperBoxes -> False}], Cell[ StyleData["PrimaryPlaceholder", "Presentation"]], Cell[ StyleData["PrimaryPlaceholder", "Condensed"]], Cell[ StyleData["PrimaryPlaceholder", "SlideShow"]], Cell[ StyleData["PrimaryPlaceholder", "Printout"]]}, Closed]]}, Closed]], Cell[ CellGroupData[{ Cell["FormatType Styles", "Section", FontSize -> 24], Cell[ "The cells below define styles that are mixed in with the styles of \ most cells. If a cell's FormatType matches the name of one of the styles \ defined below, then that style is applied between the cell's style and its \ own options. This is particularly true of Input and Output.", "Text", FontSize -> 24], Cell[ StyleData["CellExpression"], PageWidth -> Infinity, CellMargins -> {{6, Inherited}, {Inherited, Inherited}}, ShowCellLabel -> False, ShowSpecialCharacters -> False, AllowInlineCells -> False, Hyphenation -> False, AutoItalicWords -> {}, StyleMenuListing -> None, FontFamily -> "Courier", FontSize -> 24, Background -> GrayLevel[1]], Cell[ StyleData["InputForm"], InputAutoReplacements -> {}, AllowInlineCells -> False, Hyphenation -> False, StyleMenuListing -> None, FontFamily -> "Courier", FontSize -> 24], Cell[ StyleData["OutputForm"], PageWidth -> Infinity, TextAlignment -> Left, LineSpacing -> {0.6, 1}, StyleMenuListing -> None, FontFamily -> "Courier", FontSize -> 24], Cell[ StyleData["StandardForm"], InputAutoReplacements -> { "->" -> "\[Rule]", ":>" -> "\[RuleDelayed]", "<=" -> "\[LessEqual]", ">=" -> "\[GreaterEqual]", "!=" -> "\[NotEqual]", "==" -> "\[Equal]", Inherited}, "TwoByteSyntaxCharacterAutoReplacement" -> True, LineSpacing -> {1.25, 0}, StyleMenuListing -> None, FontFamily -> "Courier", FontSize -> 24], Cell[ StyleData["TraditionalForm"], InputAutoReplacements -> { "->" -> "\[Rule]", ":>" -> "\[RuleDelayed]", "<=" -> "\[LessEqual]", ">=" -> "\[GreaterEqual]", "!=" -> "\[NotEqual]", "==" -> "\[Equal]", Inherited}, "TwoByteSyntaxCharacterAutoReplacement" -> True, LineSpacing -> {1.25, 0}, SingleLetterItalics -> True, TraditionalFunctionNotation -> True, DelimiterMatching -> None, StyleMenuListing -> None, FontSize -> 24], Cell[ "The style defined below is mixed in to any cell that is in an \ inline cell within another.", "Text", FontSize -> 24], Cell[ StyleData["InlineCell"], LanguageCategory -> "Formula", ScriptLevel -> 1, StyleMenuListing -> None, FontSize -> 24], Cell[ StyleData["InlineCellEditing"], StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216]]}, Closed]], Cell[ CellGroupData[{ Cell["Automatic Styles", "Section", FontSize -> 24], Cell[ "The cells below define styles that are used to affect the display \ of certain types of objects in typeset expressions. For example, \ \"UnmatchedBracket\" style defines how unmatched bracket, curly bracket, and \ parenthesis characters are displayed (typically by coloring them to make them \ stand out).", "Text", FontSize -> 24], Cell[ StyleData["UnmatchedBracket"], StyleMenuListing -> None, FontSize -> 24, FontColor -> RGBColor[0.760006, 0.330007, 0.8]], Cell[ StyleData["Completions"], StyleMenuListing -> None, FontFamily -> "Courier", FontSize -> 24]}, Closed]], Cell[ CellGroupData[{ Cell["Styles from HelpBrowser", "Section", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["MathCaption"], CellFrame -> {{0, 0}, {0, 0.5}}, CellMargins -> {{66, 12}, {2, 24}}, PageBreakBelow -> False, CellFrameMargins -> {{8, 8}, {8, 2}}, CellFrameColor -> GrayLevel[0.700008], CellFrameLabelMargins -> 4, LineSpacing -> {1, 1}, ParagraphSpacing -> {0, 8}, StyleMenuListing -> None, FontSize -> 24, FontColor -> GrayLevel[0.2]], Cell[ StyleData["MathCaption", "Presentation"]], Cell[ StyleData["MathCaption", "SlideShow"]], Cell[ StyleData["MathCaption", "Printout"], CellMargins -> {{39, 0}, {0, 14}}, Hyphenation -> True, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["ObjectName"], ShowCellBracket -> True, CellMargins -> {{66, 4}, {8, 8}}, Evaluatable -> True, CellGroupingRules -> "InputGrouping", PageBreakWithin -> False, GroupPageBreakWithin -> False, CellLabelAutoDelete -> False, CellLabelMargins -> {{14, Inherited}, {Inherited, Inherited}}, DefaultFormatType -> DefaultInputFormatType, ShowSpecialCharacters -> Automatic, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, LanguageCategory -> "Mathematica", FormatType -> StandardForm, ShowStringCharacters -> True, NumberMarks -> True, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["ObjectName", "Presentation"]], Cell[ StyleData["ObjectName", "SlideShow"]], Cell[ StyleData["ObjectName", "Printout"], ShowCellBracket -> False, CellMargins -> {{39, 0}, {6, 6}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Usage"], ShowCellBracket -> True, CellMargins -> {{66, 4}, {8, 8}}, Evaluatable -> True, CellGroupingRules -> "InputGrouping", PageBreakWithin -> False, GroupPageBreakWithin -> False, CellLabelAutoDelete -> False, CellLabelMargins -> {{14, Inherited}, {Inherited, Inherited}}, DefaultFormatType -> DefaultInputFormatType, ShowSpecialCharacters -> Automatic, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, LanguageCategory -> "Mathematica", FormatType -> StandardForm, ShowStringCharacters -> True, NumberMarks -> True, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["Usage", "Presentation"]], Cell[ StyleData["Usage", "SlideShow"]], Cell[ StyleData["Usage", "Printout"], ShowCellBracket -> False, CellMargins -> {{39, 0}, {6, 6}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Notes"], ShowCellBracket -> True, CellMargins -> {{66, 4}, {8, 8}}, Evaluatable -> True, CellGroupingRules -> "InputGrouping", PageBreakWithin -> False, GroupPageBreakWithin -> False, CellLabelAutoDelete -> False, CellLabelMargins -> {{14, Inherited}, {Inherited, Inherited}}, DefaultFormatType -> DefaultInputFormatType, ShowSpecialCharacters -> Automatic, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, LanguageCategory -> "Mathematica", FormatType -> StandardForm, ShowStringCharacters -> True, NumberMarks -> True, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["Notes", "Presentation"]], Cell[ StyleData["Notes", "SlideShow"]], Cell[ StyleData["Notes", "Printout"], ShowCellBracket -> False, CellMargins -> {{39, 0}, {6, 6}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["InlineOutput"], ShowCellBracket -> True, CellMargins -> {{66, 4}, {8, 8}}, Evaluatable -> True, CellGroupingRules -> "InputGrouping", PageBreakWithin -> False, GroupPageBreakWithin -> False, CellLabelAutoDelete -> False, CellLabelMargins -> {{14, Inherited}, {Inherited, Inherited}}, DefaultFormatType -> DefaultInputFormatType, ShowSpecialCharacters -> Automatic, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, LanguageCategory -> "Mathematica", FormatType -> StandardForm, ShowStringCharacters -> True, NumberMarks -> True, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Bold"], Cell[ StyleData["InlineOutput", "Presentation"]], Cell[ StyleData["InlineOutput", "SlideShow"]], Cell[ StyleData["InlineOutput", "Printout"], ShowCellBracket -> False, CellMargins -> {{39, 0}, {6, 6}}]}, Closed]], Cell[ CellGroupData[{ Cell["Emphasis Boxes and Pictures", "Subsection", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["Box"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> {GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["Box", "Presentation"]], Cell[ StyleData["Box", "SlideShow"]], Cell[ StyleData["Box", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["DoubleBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Top}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[1.4]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["DoubleBox", "Presentation"]], Cell[ StyleData["DoubleBox", "SlideShow"]], Cell[ StyleData["DoubleBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["1ColumnBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> {GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["1ColumnBox", "Presentation"]], Cell[ StyleData["1ColumnBox", "SlideShow"]], Cell[ StyleData["1ColumnBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["2ColumnBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], SingleLetterItalics -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> {GridBoxItemSize -> {"Columns" -> { Scaled[0.31], { Scaled[0.67]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["2ColumnBox", "Presentation"]], Cell[ StyleData["2ColumnBox", "SlideShow"]], Cell[ StyleData["2ColumnBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["2ColumnEvenBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> {GridBoxItemSize -> {"Columns" -> {{ Scaled[0.46]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["2ColumnEvenBox", "Presentation"]], Cell[ StyleData["2ColumnEvenBox", "SlideShow"]], Cell[ StyleData["2ColumnEvenBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["2ColumnSmallBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {Right, {Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> {{ Scaled[0.35]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[1.0499999999999998`]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["2ColumnSmallBox", "Presentation"]], Cell[ StyleData["2ColumnSmallBox", "SlideShow"]], Cell[ StyleData["2ColumnSmallBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["3ColumnBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> {GridBoxItemSize -> {"Columns" -> {{ Scaled[0.32]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["3ColumnBox", "Presentation"]], Cell[ StyleData["3ColumnBox", "SlideShow"]], Cell[ StyleData["3ColumnBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["3ColumnSmallBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {Right, Center, {Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> {{ Scaled[0.24]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[1.0499999999999998`]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["3ColumnSmallBox", "Presentation"]], Cell[ StyleData["3ColumnSmallBox", "SlideShow"]], Cell[ StyleData["3ColumnSmallBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["4ColumnBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], SingleLetterItalics -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> {GridBoxItemSize -> {"Columns" -> { Scaled[0.13], Scaled[0.35], Scaled[0.13], { Scaled[0.35]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["4ColumnBox", "Presentation"]], Cell[ StyleData["4ColumnBox", "SlideShow"]], Cell[ StyleData["4ColumnBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["5ColumnBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> {GridBoxItemSize -> {"Columns" -> {{ Scaled[0.202]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["5ColumnBox", "Presentation"]], Cell[ StyleData["5ColumnBox", "SlideShow"]], Cell[ StyleData["5ColumnBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["6ColumnBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {BoxFrame -> 0.5, FrameMargins -> True}, GridBoxOptions -> {GridBoxItemSize -> {"Columns" -> { Scaled[0.12], Scaled[0.22], Scaled[0.12], Scaled[0.12], Scaled[0.22], { Scaled[0.12]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["6ColumnBox", "Presentation"]], Cell[ StyleData["6ColumnBox", "SlideShow"]], Cell[ StyleData["6ColumnBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["FramedBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, PageBreakWithin -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.5599999999999999]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["FramedBox", "Presentation"]], Cell[ StyleData["FramedBox", "SlideShow"]], Cell[ StyleData["FramedBox", "Printout"], CellMargins -> {{2, 4}, {0, 8}}, Background -> GrayLevel[1]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["DefinitionBox"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, PageBreakWithin -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.4], { Scaled[0.6]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["DefinitionBox", "Presentation"]], Cell[ StyleData["DefinitionBox", "SlideShow"]], Cell[ StyleData["DefinitionBox", "Printout"], CellMargins -> {{2, 4}, {0, 8}}, Background -> GrayLevel[1]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["DefinitionBox3Col"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, PageBreakWithin -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.35], Scaled[0.2], { Scaled[0.45]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["DefinitionBox3Col", "Presentation"]], Cell[ StyleData["DefinitionBox3Col", "SlideShow"]], Cell[ StyleData["DefinitionBox3Col", "Printout"], CellMargins -> {{2, 4}, {0, 8}}, Background -> GrayLevel[1]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["DefinitionBox4Col"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, PageBreakWithin -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.15], Scaled[0.35], Scaled[0.15], { Scaled[0.35]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["DefinitionBox4Col", "Presentation"]], Cell[ StyleData["DefinitionBox4Col", "SlideShow"]], Cell[ StyleData["DefinitionBox4Col", "Printout"], CellMargins -> {{2, 4}, {0, 8}}, Background -> GrayLevel[1]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["DefinitionBox5Col"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, PageBreakWithin -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> {{ Scaled[0.2]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["DefinitionBox5Col", "Presentation"]], Cell[ StyleData["DefinitionBox5Col", "SlideShow"]], Cell[ StyleData["DefinitionBox5Col", "Printout"], CellMargins -> {{2, 4}, {0, 8}}, Background -> GrayLevel[1]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["DefinitionBox6Col"], CellFrame -> 0.5, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, PageBreakWithin -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.13], Scaled[0.24], Scaled[0.13], Scaled[0.13], Scaled[0.24], { Scaled[0.13]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["DefinitionBox6Col", "Presentation"]], Cell[ StyleData["DefinitionBox6Col", "SlideShow"]], Cell[ StyleData["DefinitionBox6Col", "Printout"], CellMargins -> {{2, 4}, {0, 8}}, Background -> GrayLevel[1]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["TopBox"], CellFrame -> {{0.5, 0.5}, {0, 0.5}}, CellMargins -> {{27, 12}, {0, 8}}, CellHorizontalScrolling -> True, PageBreakBelow -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.31], { Scaled[0.62]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["TopBox", "Presentation"]], Cell[ StyleData["TopBox", "SlideShow"]], Cell[ StyleData["TopBox", "Printout"], CellMargins -> {{2, 0}, {0, 8}}, Background -> GrayLevel[1]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["MiddleBox"], CellFrame -> {{0.5, 0.5}, {0, 0}}, CellMargins -> {{27, 12}, {0, -7}}, CellHorizontalScrolling -> True, PageBreakAbove -> False, PageBreakBelow -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.31], { Scaled[0.62]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["MiddleBox", "Presentation"]], Cell[ StyleData["MiddleBox", "SlideShow"]], Cell[ StyleData["MiddleBox", "Printout"], CellMargins -> {{2, 0}, {0, 2}}, Background -> GrayLevel[1]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["BottomBox"], CellFrame -> {{0.5, 0.5}, {0.5, 0}}, CellMargins -> {{27, 12}, {0, -7}}, CellHorizontalScrolling -> True, PageBreakAbove -> False, PageBreakBelow -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.31], { Scaled[0.62]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["BottomBox", "Presentation"]], Cell[ StyleData["BottomBox", "SlideShow"]], Cell[ StyleData["BottomBox", "Printout"], CellMargins -> {{2, 0}, {0, -5}}, Background -> GrayLevel[1], GridBoxOptions -> { GridBoxItemSize -> { "Columns" -> {{All}}, "ColumnsIndexed" -> {}, "Rows" -> {{2.2}}, "RowsIndexed" -> {}}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["TopSpanBox"], CellFrame -> {{0.5, 0.5}, {0, 0.5}}, CellMargins -> {{27, 12}, {-2, 8}}, CellHorizontalScrolling -> True, PageBreakBelow -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.9], { Scaled[0.03]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["TopSpanBox", "Presentation"]], Cell[ StyleData["TopSpanBox", "SlideShow"]], Cell[ StyleData["TopSpanBox", "Printout"], CellMargins -> {{2, 0}, {-2, 8}}, Background -> GrayLevel[1]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["MiddleSpanBox"], CellFrame -> {{0.5, 0.5}, {0, 0}}, CellMargins -> {{27, 12}, {0, 0}}, CellHorizontalScrolling -> True, PageBreakAbove -> False, PageBreakBelow -> False, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], AutoIndent -> False, AutoSpacing -> False, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, FontWeight -> "Plain", Background -> RGBColor[0.964706, 0.929412, 0.839216], GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.9], { Scaled[0.03]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.6]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["MiddleSpanBox", "Presentation"]], Cell[ StyleData["MiddleSpanBox", "SlideShow"]], Cell[ StyleData["MiddleSpanBox", "Printout"], CellMargins -> {{2, 0}, {-5, 0}}, Background -> GrayLevel[1], GridBoxOptions -> { GridBoxItemSize -> { "Columns" -> {{All}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.8}}, "RowsIndexed" -> {}}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Picture"], CellMargins -> {{27, Inherited}, {4, 4}}, CellGroupingRules -> "GraphicsGrouping", CellHorizontalScrolling -> True, StyleMenuListing -> None, FontSize -> 24], Cell[ StyleData["Picture", "Presentation"]], Cell[ StyleData["Picture", "SlideShow"]], Cell[ StyleData["Picture", "Printout"], CellMargins -> {{2, Inherited}, {4, 4}}, Magnification -> 0.65]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["OpenCloseItemizedPicture"], CellMargins -> {{88, 4}, {4, 4}}, PrivateCellOptions -> {"DefaultCellGroupOpen" -> False}, CellGroupingRules -> "GraphicsGrouping", CellHorizontalScrolling -> True, StyleMenuListing -> None, FontSize -> 24], Cell[ StyleData["OpenCloseItemizedPicture", "Presentation"]], Cell[ StyleData["OpenCloseItemizedPicture", "SlideShow"]], Cell[ StyleData["OpenCloseItemizedPicture", "Printout"], CellMargins -> {{76, 2}, {0, 0}}, CellElementSpacings -> { "CellMinHeight" -> 1, "ClosedCellHeight" -> 0}, CellOpen -> False]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["ItemizedPicture"], CellMargins -> {{88, 4}, {4, 4}}, CellGroupingRules -> "GraphicsGrouping", CellHorizontalScrolling -> True, StyleMenuListing -> None, FontSize -> 24], Cell[ StyleData["ItemizedPicture", "Presentation"]], Cell[ StyleData["ItemizedPicture", "SlideShow"]], Cell[ StyleData["ItemizedPicture", "Printout"], CellMargins -> {{77, 2}, {4, -4}}, Magnification -> 0.5]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["ListGraphic"], CellMargins -> {{88, 4}, {4, 4}}, CellGroupingRules -> "GraphicsGrouping", CellHorizontalScrolling -> True, StyleMenuListing -> None, FontSize -> 24], Cell[ StyleData["ListGraphic", "Presentation"]], Cell[ StyleData["ListGraphic", "SlideShow"]], Cell[ StyleData["ListGraphic", "Printout"], CellMargins -> {{77, 2}, {4, -4}}, Magnification -> 0.5]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["ListNoteBox"], CellFrame -> 0.5, CellMargins -> {{88, 12}, {8, 8}}, CellHorizontalScrolling -> True, CellFrameColor -> RGBColor[0.74902, 0.694118, 0.552941], LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, Background -> RGBColor[0.964706, 0.929412, 0.839216], FrameBoxOptions -> {FrameMargins -> {{1, 1}, {1.5, 1.5}}}, GridBoxOptions -> {GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["ListNoteBox", "Presentation"]], Cell[ StyleData["ListNoteBox", "SlideShow"]], Cell[ StyleData["ListNoteBox", "Printout"], CellMargins -> {{77, 4}, {6, 2}}, Background -> GrayLevel[0.900008]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["PictureGroup"], CellMargins -> {{41, 4}, {0, 4}}, CellGroupingRules -> "GraphicsGrouping", CellHorizontalScrolling -> True, StyleMenuListing -> None, FontSize -> 24], Cell[ StyleData["PictureGroup", "Presentation"]], Cell[ StyleData["PictureGroup", "SlideShow"]], Cell[ StyleData["PictureGroup", "Printout"], CellMargins -> {{76, 2}, {0, 0}}, CellElementSpacings -> { "CellMinHeight" -> 1, "ClosedCellHeight" -> 0}, CellOpen -> False]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["Sound"], ShowCellBracket -> True, CellMargins -> {{27, Inherited}, {0, 8}}, StyleMenuListing -> None, FontSize -> 24], Cell[ StyleData["Sound", "Presentation"]], Cell[ StyleData["Sound", "SlideShow"]], Cell[ StyleData["Sound", "Printout"], CellMargins -> {{2, 0}, {0, 8}}]}, Closed]]}, Closed]], Cell[ CellGroupData[{ Cell["Tables", "Subsection", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["2ColumnTable"], CellMargins -> {{35, 4}, {0, 8}}, CellHorizontalScrolling -> True, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.34], { Scaled[0.64]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["2ColumnTable", "Presentation"]], Cell[ StyleData["2ColumnTable", "SlideShow"]], Cell[ StyleData["2ColumnTable", "Printout"], CellMargins -> {{2, 0}, {0, 8}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["2ColumnEvenTable"], CellMargins -> {{35, 4}, {0, 8}}, CellHorizontalScrolling -> True, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> {{ Scaled[0.49]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["2ColumnEvenTable", "Presentation"]], Cell[ StyleData["2ColumnEvenTable", "SlideShow"]], Cell[ StyleData["2ColumnEvenTable", "Printout"], CellMargins -> {{2, 0}, {0, 8}}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["3ColumnTable"], CellMargins -> {{35, 4}, {0, 8}}, CellHorizontalScrolling -> True, LineIndent -> 0, StyleMenuListing -> None, FontSize -> 24, GridBoxOptions -> { GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> {"Columns" -> { Scaled[0.28], Scaled[0.28], { Scaled[0.43]}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["3ColumnTable", "Presentation"]], Cell[ StyleData["3ColumnTable", "SlideShow"]], Cell[ StyleData["3ColumnTable", "Printout"], CellMargins -> {{2, 0}, {0, 8}}]}, Closed]]}, Closed]]}, Closed]], Cell[ CellGroupData[{ Cell["Slide Show Styles", "Section", FontSize -> 24], Cell[ CellGroupData[{ Cell[ StyleData["SlideShowNavigationBar"], Editable -> False, CellFrame -> True, CellMargins -> {{0, 0}, {3, 3}}, CellElementSpacings -> {"CellMinHeight" -> 0.8125}, CellGroupingRules -> {"SectionGrouping", 30}, CellFrameMargins -> False, CellFrameColor -> GrayLevel[1], CellFrameLabelMargins -> False, TextAlignment -> Center, CounterIncrements -> "SlideShowNavigationBar", StyleMenuListing -> None, FontSize -> 24, Magnification -> 1, Background -> GrayLevel[0.8], GridBoxOptions -> { BaselinePosition -> Center, GridBoxAlignment -> { "Columns" -> { Center, Center, Center, Center, Center, Center, Right, { Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize -> { "Columns" -> {3.5, 3.5, 3.5, 3.5, 13, 5, {4}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings -> {"Columns" -> { Offset[0.27999999999999997`], { Offset[0.]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.]}, Offset[0.2]}, "RowsIndexed" -> {}}}], Cell[ StyleData["SlideShowNavigationBar", "Presentation"]], Cell[ StyleData["SlideShowNavigationBar", "SlideShow"], Deletable -> False, ShowCellBracket -> False, CellMargins -> {{-1, -1}, {-1, -1}}, PageBreakAbove -> True, CellFrameMargins -> {{1, 1}, {0, 0}}], Cell[ StyleData["SlideShowNavigationBar", "Printout"], CellMargins -> {{18, 4}, {4, 4}}, LineSpacing -> {1, 3}]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["SlideShowSection"], CellFrame -> {{0, 0}, {0, 0.5}}, CellMargins -> {{0, 0}, {10, 0}}, CellGroupingRules -> {"SectionGrouping", 40}, PageBreakBelow -> False, CellFrameMargins -> {{12, 4}, {6, 12}}, InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, CounterIncrements -> "Section", CounterAssignments -> {{"Subsection", 0}, {"Subsubsection", 0}}, StyleMenuListing -> None, FontFamily -> "Helvetica", FontSize -> 24, FontWeight -> "Plain", FontColor -> GrayLevel[1], Background -> RGBColor[0.408011, 0.440726, 0.8]], Cell[ StyleData["SlideShowSection", "Presentation"], CellFrameMargins -> {{20, 10}, {10, 18}}], Cell[ StyleData["SlideShowSection", "SlideShow"], ShowCellBracket -> False, PageBreakAbove -> True], Cell[ StyleData["SlideShowSection", "Printout"], CellMargins -> {{18, 30}, {0, 30}}, CellFrameMargins -> 5]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["SlideHyperlink"], StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontSize -> 24, FontColor -> GrayLevel[0.400015], ButtonBoxOptions -> { Active -> True, ButtonFunction :> (FrontEndExecute[{ FrontEnd`NotebookLocate[#2]}]& ), ButtonMargins -> 0.5, ButtonMinHeight -> 0.85, ButtonNote -> None}], Cell[ StyleData["SlideHyperlink", "Presentation"], CellMargins -> {{14, 10}, {6, 12}}], Cell[ StyleData["SlideHyperlink", "SlideShow"]], Cell[ StyleData["SlideHyperlink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["SlideTOCLink"], CellMargins -> {{24, Inherited}, {Inherited, Inherited}}, StyleMenuListing -> None, ButtonStyleMenuListing -> Automatic, FontFamily -> "Helvetica", FontSize -> 24, ButtonBoxOptions -> { Active -> True, ButtonFunction :> (FrontEndExecute[{ FrontEnd`NotebookLocate[#2]}]& ), ButtonMargins -> 1.5, ButtonNote -> ButtonData}], Cell[ StyleData["SlideTOCLink", "Presentation"], CellMargins -> {{35, 10}, {8, 8}}], Cell[ StyleData["SlideTOCLink", "SlideShow"]], Cell[ StyleData["SlideTOCLink", "Printout"], FontVariations -> {"Underline" -> False}, FontColor -> GrayLevel[0]]}, Closed]], Cell[ CellGroupData[{ Cell[ StyleData["SlideTOC"], CellDingbat -> "\[Bullet]", CellMargins -> {{18, Inherited}, {Inherited, Inherited}}, StyleMenuListing -> None, FontFamily -> "Helvetica", FontSize -> 24], Cell[ StyleData["SlideTOC", "Presentation"], CellMargins -> {{25, 10}, {10, 5}}], Cell[ StyleData["SlideTOC", "SlideShow"]], Cell[ StyleData["SlideTOC", "Printout"], FontColor -> GrayLevel[0]]}, Closed]]}, Closed]]}, Open]]}, WindowMargins -> {{Automatic, 328}, {Automatic, 62}}, Visible -> False, FrontEndVersion -> "6.0 for Microsoft Windows (32-bit) (May 21, 2008)", StyleDefinitions -> "Default.nb"] ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[590, 23, 206, 4, 135, "Section"], Cell[CellGroupData[{ Cell[821, 31, 379, 6, 217, "Subsection"], Cell[CellGroupData[{ Cell[1225, 41, 222, 7, 45, "Input"], Cell[1450, 50, 822, 28, 121, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[2309, 83, 665, 17, 148, "Input"], Cell[2977, 102, 31873, 537, 380, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[34899, 645, 68, 1, 72, "Subsection"], Cell[CellGroupData[{ Cell[34992, 650, 605, 19, 148, "Input"], Cell[35600, 671, 978, 28, 231, "Output"] }, Open ]], Cell[36593, 702, 128, 3, 47, "Text"], Cell[CellGroupData[{ Cell[36746, 709, 743, 21, 148, "Input"], Cell[37492, 732, 1768, 53, 239, "Output"] }, Open ]], Cell[39275, 788, 229, 4, 79, "Text"], Cell[CellGroupData[{ Cell[39529, 796, 797, 22, 182, "Input"], Cell[40329, 820, 958, 27, 231, "Output"] }, Open ]], Cell[41302, 850, 122, 4, 79, "Text"] }, Open ]], Cell[CellGroupData[{ Cell[41461, 859, 91, 1, 101, "Subsection"], Cell[41555, 862, 221, 5, 111, "Text"], Cell[41779, 869, 741, 21, 114, "Input"], Cell[42523, 892, 299, 8, 45, "Input"], Cell[42825, 902, 529, 14, 80, "Input"], Cell[CellGroupData[{ Cell[43379, 920, 189, 3, 45, "Input"], Cell[43571, 925, 16818, 443, 3523, "Output"] }, Closed]], Cell[60404, 1371, 220, 4, 73, "Text"], Cell[60627, 1377, 17172, 449, 4828, "Input"], Cell[77802, 1828, 197, 4, 79, "Text"], Cell[CellGroupData[{ Cell[78024, 1836, 577, 13, 80, "Input"], Cell[78604, 1851, 41372, 685, 238, "Output"] }, Open ]], Cell[119991, 2539, 273, 5, 111, "Text"], Cell[CellGroupData[{ Cell[120289, 2548, 697, 15, 80, "Input"], Cell[120989, 2565, 40520, 670, 228, "Output"] }, Open ]], Cell[161524, 3238, 152, 3, 47, "Text"], Cell[CellGroupData[{ Cell[161701, 3245, 567, 14, 80, "Input"], Cell[162271, 3261, 150782, 2455, 311, 123144, 2000, "CachedBoxData", \ "BoxData", "Output"] }, Open ]], Cell[313068, 5719, 541, 9, 239, "Text"], Cell[313612, 5730, 544, 15, 80, "Input"], Cell[CellGroupData[{ Cell[314181, 5749, 937, 24, 182, "Input"], Cell[315121, 5775, 203456, 3347, 340, "Output"] }, Open ]], Cell[518592, 9125, 167, 4, 79, "Text"], Cell[CellGroupData[{ Cell[518784, 9133, 143, 2, 45, "Input"], Cell[518930, 9137, 1675, 28, 692, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[520642, 9170, 1156, 28, 216, "Input"], Cell[521801, 9200, 205533, 3381, 340, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[727383, 12587, 70, 1, 72, "Subsection"], Cell[727456, 12590, 169, 4, 79, "Text"], Cell[727628, 12596, 679, 20, 114, "Input"], Cell[728310, 12618, 488, 14, 45, "Input"], Cell[CellGroupData[{ Cell[728823, 12636, 669, 18, 114, "Input"], Cell[729495, 12656, 14489, 250, 252, 6690, 119, "CachedBoxData", "BoxData", \ "Output"] }, Open ]] }, Open ]] }, Open ]] } ] *) (* End of internal cache information *)