المساعد الشخصي الرقمي

مشاهدة النسخة كاملة : الدورة المستندية المحاسبية وتطبيقها على نظام سند المحاسبي المجاني



Hisham Saleh
01-21-2019, 07:33 AM
مخطط لآلية عمل الدورة المستندية المحاسبية بصورة انسيابية متكاملة ومرفق نسخة من نظام سند المحاسبي المجاني لتطبيق هذا الدورة بشكل عملي وكذلك ملف (باوربوينت).
بعد فتح ملف الباور بوينت إضغط مفتاح (إنتر) بشكل متتابع لترى خط سير الدورة.
تجدون فيما يلي من ردود في سياق هذا الموضوع شرح تفصيلي لهذه الدورة.
https://accdiscussion.com/image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA8IAAAIgCAIAAAD BckfHAAAgAElEQVR4nOy9b2wTZ773fdnjvOEFSEfZFxbR4ZECQ aV3y 6mNOF01Zhlk6qEFrKUP7tFfhIaIM9dEbac4L3Jkm7II/4cewmlSQgUTTfkyD17gn2XXZnQxM4S3JQ7Lm5HVXuCfGSJ0wSl XonkhCdR2CiK5nkx9nj8N7Zj 5qxvx99X7S2Mx7sa2Y vuZ3XRfZBwAAAAAAAEgSQnsHAAAAAAAAUB7QaAAAAAAAAJImqN E8AAAAAAAAIC7QaAAAAAAAAJIGGg0AAAAAAEDSQKMBAAAAAABI Gmg0AAAAAAAASQONBgAAAAAAIGmg0QAAAAAAACQNNBoAAAAAAI CkgUYDAAAAAACQNNBoAAAAAAAAkgYaDQAAAAAAQNJAowEAAAAA AEgaaDQAAAAAAABJA40GAAAAAAAgaaDRAAAAAAAAJA00GgAAAA AAgKSBRgMAAAAAAJA00GgAAAAAAACSBhoNAAAAAABA0kCjAQAA AAAASBpoNAAAAAAAAEkDjQYAAAAAACBpFK/R5OglBEEQBEHkGc/3P9A2BQAyBTQaQRAEQZBMBRoNchhoNIIgCIIgmQo0GuQwuaPRA 6Pfeb7/AUEQBEEQ6oFGg3wgdzQaByoAAAAgE3B1BvkANBoAAAAAaQZXZ5 APQKMBAAAAkGZwdQb5ADQaAAAAAGkGV2eQD0CjAQAAAJBmcHUG QA0GgAAAABpBldnkA9AowEAAACQZnB1BvkANBoAAAAAaQZXZ5A PQKMBAAAAkGZwdQb5ADQaAAAAAGkGV2eQD0CjAQAAAJBmcHUG QA0GgAAAABpBldnkA9AowEAAACQZnB1BvkANBoAAAAAaQZXZ5A PQKMBAAAAkGZwdQb5ADQaAAAAADF5Njc14/PM DyPOOu3XC/HfTxqb/7c1jBkqx2y1TrY5x1dTGRaWw8J fSDF6K QPjze7Yj923vctzHHPfxI876ZJyb8Xnmpido/6MBSAhoNAAAAAD4xYX5GZ/n8djAt1zvqL1ZVOTPzFs/tb3RZ6u67qq9wjVc4RrOjZ9u9bUJObbQeYS/lkLELbT62oTNXuEa mxVFtuOz8xbRdX 3NYgGPaMz/Nsbor2hwRACNBoAAAAIB8RpPlL5/m7tncEbf3U9kaP88AVrsHkNbT62prm2lNT5LTk2EJnq6/t3PjpK1zDdVetxbZjkC1xdDFDll O2pu9XN Mz7O4ME/7UwR5DTQaKIyoNwcRxYV2OwIgH5mbnhC82WHe5uhi/mL5eY/zwOWx4yvpVM5 Wn1tl8eOC2Lt6GIc5m1f2A2CVdP gEHeAY0GCsPRxfAPChBFBxoNQNaYm554NHb7c1uDg910x/yy6M3UbThdaZ6 YPIaepwH/mL5uaOLuWc78pD7BEoNsgM0GigMaHQOBBoNQEZZXJj3eUe dJ4X1dnkNdCt0MhOji10nhs/fd1VKyj1F3bDo7HbqKgGmQMaDRQGNDoHAo0GIBMI9vyF3eDoYm 5ZKi6PHW evkBdbWmlaa7d5DWY7bsdXcywZR98GmQCaDRQGNDoHAg0GoD0I trzn xvmbwGBRU6Zyfnxk/3OA/Y2Y3Dln0T3mEMTATpAhoNFAY0OgcCjQYgLTybm/rO9ZGD3dRvfuny2PF8KNtYSY4tdJq8BmFg4tdOI qnwcqBRgOFAY3OgUCjAVghMz7PqL3Z0cX0OA/k0njB7KRprv26q3aAXX/PdsTnHaH9ZQIFA40GCgManQOBRgOQMjM z33bu4NsyRWuAcUbK4nQOd1vfumuuRIyDVIDGg0UBjQ6BwKNBi AFns1NQaAzEUGmhy37UOYBkgUaDRQGNDoHAo0GICkWF Yfcp84upjrrloIdIZyeez4ALt 1N6MAYggcaDRQGFAo3Mg0GgAEmduemLIvN1i25HPs9dlJ8cWOn ucBxzsph/GH9D 2oEygEYDhQGNzoFAowFIkEdjtx1dzOWx49QVM3/S6msbYIu/dhrRLQ2WBRoNFAY0OgcCjQYgEb52Gm3mn6ITOoFcrXPv1eper/R8kJYNHlvotNh2DFv2waRBfKDRQGFAo3Mg0GgA4rO4MO 0/OqWpULGldBX69x7i/R7q9NkrivK0pmKqjWEEELWbR66mK7N9jgP3DVXzk1P0G4OQL5A o4HCgEbnQKDRAMTnc1vDp5afZc2hD3sOb03aPi/uNKwjhKwynKhdfvv6It1rOrfx8Er3M7Cdpyd crTh7SWpSRt3t5evPhT6YJpMGn3SIBbQaKAwoNE5EGg0AHH42m nMbj/0xZ2G4iL2TJKO23XQ3VCmL33RUF5k0O M3ifduZ99WWvYX6ZfSwhZlbrjdr1t3V5k HWFYRMhZNWhd3b36VaR0gpPNj6iHueBYYvC1AhkDWg0UBjQ6Fh xN6r172kmXeGPD73HeCIeFOJpUZt6C/gHBfywpv33mqVE3sipGWpR64iAyvD78HdcsjJVhBCitt6BRgOQ ND MPxhgi7Nay/H0xGZtQp3KIVk6V3modDP76826NYSsiW7hT09s1hJC1m4w7d s 3GZ 1KKezh7qky3hpA1WsOuzbofl7n/352GdYT8aIM1WDV ePI3P9GtIbo3dk52pf0jsth2fOPqpt00gByBRgOFAY2OnlGNqY gQQoobNYsPCia7GR1Rs9aCJStTVageGo72Jy4NW64ihWr2ZoGn Ra3Va54u y4ujfVNFQlBpWvUzEokm60WXgCNBiBpFhfmHezz2V7cW5DdKv3 JLqKr9a592oJIWTT5o9qNhS/vvPp1Wgv 2D/4N7YzyaeD/YP6TdXVYvbOezRF4Vo9KUa0wvCKWkFfd4x0zTXPsiWoEgaRAKN BgojvzTapbH Ut3eU5BIP/HSHU17tZq1FvAPCob0KkJUhu6Cp91qLfE/KGSxlznaopkNKq atWqG9CpSHrPTOvgW/p5mlb5FM/ugwN2olhrzZC9jKBUlO6ZGe/q3t7YeGhj9bmpmlnZrAkBePOQ 6bNVZdWh WtH AuV h8RbZKyO9u2k32tKNk 7HTl6YnNWolGPz2xWftCmctQUbWGZKbY4wrXMGpvpt1AgOyARg OFkVcaLWqroXslWwj5c0 LmhB/LcekUU2qmUnhwVid1pJMGkO8ebGXKSaECJp h9ETQojqn0pV2hgaPeHYuuu3Z8Vjlhy9dKP/Pu0GBYCMcJi3ZbIr oP91te1QpetvnbfrCjNH9aYSgh5tXKyOwNvKpRH19UkXWtxte5 h7QZt2K527mdfK3NfOrLYXFYsavTV2qHXV5HSCs FnYZ1MStMVpZjC512duOzuSnabQTIC2g0UBh5pdH8g4LJHkZfz ridUZ6avcnoC0NqKtzvMdZ /38P1amt/QX8sMZQqNIbNeJfCV3IQgnHYi9TXMS4R/2d1nHKMKLG06ImhPj9 w6jL1X39BYsBNw6bGvz99dtOW6UOjRMGgApc9MTd8wvZ8yhxTK MyMqH7oPWVwkpKXN/GOUPQ fEOOzR/1 m5nqJmu9ja3SejrqHtRtPReuZDk5Ft2mz9Uxd1H2LnHaDF uhCSFrN1rPHZZurUq/fyFSoyXoGw5m4DM023dPeIdpNxMgL6DRQGHkm0aLWbIyR1skow CFymaxM/iBUB6tqhJeM6wxFKqqWjRLLg1brhIKpkP UCjhuMPoC9VDw/5Oa/9ww8Qye5PRFxLRyMXHF2No9I1rDZEOLcR69ytEtjnb 9nJq7eQLOTdP7DGW0czpdFBnSWEvBA62k/Q0OgafdijLwpOxtz1tlX3D1KNXmwuK3618vH7fruNLEr2jzIkc SZ1Dn0L6S4FpF8sHfG79auV478tKyarxT2Zfb9CmAxEv/cXppczpNGXx44/6mrgrVYkU/F4aCtG0kCjgcLIF412akw/Y9yjwUeedqu10vLlO4y UD3YE6K/7kZ/kQb/oGBIr9LqNU8faKzVoRotbKqIcY8K5i2WZCSh0aJDk1JmKFSXY2 n0ybPNsTQaQRAhx/70u8xodMBKY/hlvXvP6tCJL0IdVxDZroOuX23QEqLbW Ovsug6OPSGlmzabD1dw5aS4j01i2F/3vW2dfs/smcO8x/sY19ZtfxbiA927mdLifb16v84ulEbstuHPfqigEZHFfd6957Vm dHoVl/b/7fnJzwhSKZitdJWjKSBRgOFkSca/dioPmoMmYHO3aiSuuliL1NcqLb RWMqCurv0261NqDR4n8P6VXFjZpFl4b9pd/Cl6xMlaDRDzTWapWh2997Ha7Rgdk/BEQXDzp0oZq9Gb7n0GgESTkZ02ihbEOYe 5YjftEJfualqzRmk7VBTU6RlEHf6lGTxIiUqNDusBj9kb759kI cd8Pa0wlRKurfPwvO3WR71RS5joVuuVQoNEKDTQ6 4hnH2h0npAXGj2sMRSFD/hb6mcOFQbdNDD6MC7VzOSDAnejqqpFsxTqxBJUeqMm2C29nEYv 3dGcEqbjiObQcTS6o6MxljrUX/wT9fvpSKy8fPKq8DWtb x4 eRVJHP58W8 fP9PxzKj0dJSY5HgjBb17j2rY8/UUW V/NE/lWi1JDqRGr3YXFYseYFWV/k4 kDDiC7kzv1saexTW0mZ 6ywhmJ0MqPRJq/hb817 ZMnkTRnyxZoNDWg0flGPmi0pLdYEpeGLZe4qUszVKeKeRURqGY mH2isb6qt/VGnfBZQ6Y0a/g5z6E3m8XIT3gU3EsOh42i0p397LIem3aZAPE5evSV8U9a7X9H elxxnxuf5i XnmdJof5czIWSN1nCw8lbzwaWQp/4h1tR1s 9XBE4Wq/R7qz0X9rGvBMfzacvLbh4VFheMVtTxQeDFazeYGmJO1iFUNoe5 b6DcOYZGf hfbyWLGt3jPPBo7DbtZpKLnDwJjaYGNDrfyAeNXuxliolK38i4 xb7nOxpro1pLCClV9/T6p5H2dDOmahUpjT6PRybytFsdrR8qpBoklkbzDwpGbu4Jc gtTd0Tf8MEUrIGGp1NHOymprn2jGj00rnKQ2uJ7jWd25j4ZHCH Jw1bhaF7GZsfOu5bCBaekQnsUsgAux4rsGQEaDRFoNH5Rj5oND sMRRG0VWtXjN9R9NeLe1UVic1vcYK426M3p doEbzDwo8/ds7Ohr3NTWfvHprYPS7 b8v0G5QYBmg0dnkO9dHPc4DGbFVj75o YWyL1QeerXM2nxw6dqRJWONdc8G/ /mF1Jfxzvht3iZ3fWP j2/GGqr468d4bsOut/1d3Inuy5MZmLyGu7ZjtBuIDkKNJoi0Oh8Iy80 kHBrFVzs1HS9VuqZv gmRSKLpyaQeGpwkQXOJRbsBi4goBGZ5Nnc1N2dmPzdJTpLLKU2 TOVgrwG2fSToX9JZ2dwzLe4Wuc5XhZWyKF9peLhB9Qd thCZ7/5pRmf8qZjUwbQaIpAo/ONPNHo3A40WkFAo7PMQ 6TW5YKqtbYddDdUBaYhrnakwmLjf0Wki7qjL170ulxHsBK4BkE Gk0RaHS AY3OgUCjFQQ0Ovt8bmvIUGkHkkJMXoOD3bS4ME 7XeQu0GiKQKPzDWh0DgQarSCg0dlncWF 2LIPJi2HmLwGO/scRhZmFmg0RaDR QY0OgcCjVYQ0GgqPJubgklTDxw6S0CjKQKNzjeg0TkQaLSCgEb TQuiT7rNVHVvopC6UeZjrrlo4dJaARlMEGp1vQKNzINBoBQGNp sjiwvwDe0u/ aVWXxt1rcyfNM21W2w7hi37ns1hVvusAI2mCDQ634BG50Cg0Qo CGk2dR2O37ezG665adEtnIZfHjg w679xdWNMYfaARlMEGp1vQKNzINBoBQGNlgPP5qbu297tN79k8 hqoi2auptXXZrHtGDJvx/zQ2QYaTRFodL4Bjc6BQKMVBDRaPvi8Iw7zNottB2o80pumufYe 5wE7 5yX66P9Jecl0GiKQKPzDWh0DgQarSCg0XLDy/U52Octth3nxk9TF1Clp3n6Qo/zgKOL c71Eao4qAGNpgg0Ot ARudAoNEKAhotQxYX5h N3XaYtwllHqiZTiEmr8Fi22Fnn3vIfYKhhJSBRlMEGp1vQKNzI NBoBQGNljM 78g925FBtqTHeaB5 gJ1N5V/mubar7tq 80vDZm3Pxq7jR5oWQCNpgg0Ot ARudAoNEKAhotf57NTX3n kjonL7uqoVPR7Xny2PHb1kq7OxzXzuNGEQoL6DRFIFG5xvQ6Bw INFpBQKMVxJNx7mun0cFuEnwaIxGbpy8I9uzoYr6wG3zeEXQ/yxFoNEWg0fkGNDoHAo1WENBoJfJknPvG1T1k3j7Ilpjtuy PHc fLuqmuXaT19DjPHDH/LKD3fSl8/yTcQ72LGug0RSBRucb0OgcCDRaQUCjFc2zualHY7e/sBsc7KYBdr2g1LnXS908fSGozl3MPdsRL9eHdbwVAzSaItDofM PRxeR2vj2l/vIs/d3IdGi3I5Ao0OicYW564vHYwJfO8w7zNkcX86ntjeuuWoVateD NV7gGi23HIFviYJ//wm7wcn0oelYk0GiKQKNBTjE/z /axZ88SXs/APADjc5JFhfmZ3weL9c3am8esvzS0cV8Zt7aZ6u6wjUIYi2fIp CmufZWX5sgzX22Kpul0tHFOMzbvrAbHnKfPBnnMF2d4oFGUwQa DXIKq9V/NuE42rsCAM9Do/OGuemJJ Ocl v70nn nu2I0GM9yJZ8antD0OsrXIPJa2j1taVdsgVRbvW1nRs/LbyR2b7bYtvxmXmro4txsM/ftb0zam8WpBn9zTkINJoi0GiQO0xN U8lhPC7dtHeGwB4Hhqd3zybm5rxeZ6Mc484K8d9/KXz/Oe2hiFbrSDZYmy2t4T02arEfNtWKqT/Tz8XH/yzrUZ45SBbEtwC /yQrfae7ciovZnjPvZyfT7vyIzPg LmfAEaTRFoNMgdxFOJYk8oIPeARoNlmfF5IiOeyp79 8eRz2LqDBAEGk0RaDTIETguxKEJ4bds4edxpQGUgUaDFBFPZQM DtHcFyBtoNEWg0SAXEEYWhmk0IfyNG7T3DOQ70GiQItBokCDQa IpAo0EuII4sjMwUBqEDmkCjQYpAo0GCQKMpAo0Gikc6sjAymPw OUAUaDVIEGg0SBBpNEWg0UDzSkYViaceWLcEHPZjgCVADGg1SB BoNEgQaTRFoNFA20pGFVmvwbHLjRtCk6 tp7yXIX6DRIEWg0SBBoNEUgUYDZVNfH yHnp8POZsMDASvQyMjtHcU5CnQaJAi0GiQINBoikCjgbI5ezZk 2cKws4lY44G6DkAJaDRIEWg0SBBoNEWg0UDZjIzwVmvQksO8eW qKv3EDowwBRaDRIEWg0SBBoNEUgUaDnALDCoHMgEaDFIFGgwSB RlMEGg1yCmg0kBnQaJAi0GiQINBoikCjQU4BjQYyAxoNUgQaDR IEGk0RaDTIKaDRQGZAo0GKQKNBgkCjKQKNBjkFNBrIDGg0SBFo NEgQaDRFoNEgp4BGA5kBjQYpAo0GCQKNpgg0GuQU0GggM6DRIE Wg0SBBoNEUgUaDnAIaDWQGNBqkCDQaJAg0miLQaJBTQKOBzIBG gxSBRoMEgUZTBBoNcgpoNJAZ0GiQItBokCDQaIpAo0FOAY0GMg MaDVIEGg0SBBpNEWg0yCmg0UBmQKNBikCjQYJAoykCjQY5BTQa yAxoNEgRaDRIEGg0RaDRIKeARgOZAY0GKQKNBgkCjaYINBrkFN BoIDOg0SBFoNEgQaDRFIFGg5xCvPBMTdHeFQB4HhoNUgYaDRIE Gk0RaDTIHTye4IUHAHkAjQYpAo0GCQKNpgg0GuQO0GggP6DRIE Wg0SBBoNEUgUaD3AEaDeQHNBqkCDQaJAg0miLQaJA7QKOB/IBGgxSBRoMEgUZTBBoNcgdoNJAf0GiQItBokCDQaIpAo0HuAI0 G8gMaDVIEGg0SBBpNEWg0yB2g0UB QKNBikCjQYJAoykCjQa5AzQayA9oNEgRaDRIEGg0RaDRQBEsLs zP DxCnoxzjzjrI876LdfLcR L8d46L154pI9z3Mderk/4E3EjMz4scwiyATQapAg0GiQINJoi0GggEwRRfjLOebk jvv4vu3du7Z3HOZtji7G0cUMsiU221sW244 W5XZvvsK15BCrrtq 2xVfbaqP9tq i2vCVt2dDFDttp7tiNfOs9/y/U HhuY8Xnmpidofx4gR4BGgxSBRoMEgUZTBBoNqDA3PfFknHvIfT Jqbx6y1Qo6 2dbTZ tSlDec OnW31tzdMXjvDXMp1WX1urr83kNYiq/Zl5q6OLcbDP37Md crV4eX6ZnyeZ3NYYBwkDTQapAg0GiQINJoi0GiQHWZ8nsdjA18 6z//V8paji/nMvFUwZpPX0OprO7bQmQVdTjZNc 2tvjbBrS22HaJYf8v1PhnnYNUgEaDRIEWg0SBBoNEUgUaDDLG4 MP9knPvG1X3PdsTRxdwxv9zjPHB57Hirr426H69ErM Nn77CNfTZqgbZEgf7/Bd2w6Ox2ygCAbGARoMUgUaDBIFGUwQaDdLLjM/zneujYcs Rxdzy1IhlGfIs7N55WmevmDyGnqcB 6YX3awmwSlRi81kAKNBikCjQYJAo2mCDQarJzFhXmfd RL53kHu6nf/NJ1V20Oq3OsNM21Xx47brbvHmRLhszbv3N9hC5qwEOjQcpAo0G CQKMpAo0GK HJOPeF3SB0PF8eO940105dZ WQc One5wHBtj18GkAjQYpAo0GCQKNpgg0GqTA3PTEN86LDnbTXyw/hz0n4tPDln2Pxm4vLszT/upAtoFGgxSBRoMEgUZTBBoNksLnHblnOzLIlvQ4D6x8NrrDjxs 2Vr1e6fmAuu9mOiavwWLbYWef 8Z5EcXTeQU0GqQINBokCDSaItBokCAT3mGHeVu/ SWT15CmuufO/WwpIYRoX9/59GpGLfbw44aNVa 9aipfpXtN5zYepiTTTXPtPc4Dg2zJqL0ZyyjmCdBokCLQaJAg0 GiKQKPBsggCbTP/1OQ1pNssP9jHvlpkOlUX8wXdB62vEvKjDda4Pd zp8qqXq14GKtXu ugu26zbt0G0/7NVdsrH3clsGOXakwvb2g3HFxKv0wfW i8wjUMsiX3be iZzrngUaDFIFGgwSBRlMEGg3iMOPzDFv2CT3QVLpvj/AXdxrWEVJa4YnT/321duj1VYQs97JksthcVkwIIatNzfWZ acJMu3oYr5zfYSa6RwGGg1SBBoNEgQaTRFoNIjK4sL8N67uQbb kCteQQUuePVWmW0N0e2tmg0Ud9e5fPce XyfV2eWrProODr1RdKjh7Tidx9HeKzQf1rS/LnZpH540bNW/kjYvj5GmuXazfbeDff6H8Qe0v3OQEaDRIEWg0SBBoNEUgUaDSO amJxzmbX22qnROwbFk3N1evooQon0loKpdb1t1qwghZI02WNch FEy/UOa dIS/dtijLyKE6BsOrnQHor5X2B6eqaiK79mZyrnx0wNs8QN7C7qlcw 9oNEgRaDRIEGg0RaDRIIwJ77Cji7k8djy9pugXYgG/Fl o1JdsHvzniqo1kv7mSzWmFwghqwwnav3VGmuK2DOJDQq8Wuc5X qZfS8ga7anfBMqaL9W011SOt1RUFUe8V2iE7mqybvPQxeAfJlR InYYcW g023f/1fIWJpnOMaDRIEWg0SBBoNEUgUYDKV87jQPs pXPZBcRYaSgn1WGE7V8sP6YhJU1C73CVfr9Sx/WmEoIKSlzfxh9s0//eWuPaNhdB4fe0IrbE/9qsbmseE1R98GXo75XFNcPWLvwh4kafHpyhWuws8/BpHMJaDRIEVGj9 7lT55Elkk A42mCDQaiHztNN6yVGRqLZXZ9yv0awkhRKsLdPF sI99ZRUhq/S/eFG3SeLKV2uHXl9VvKdm4UxI5/HsqbLqvTWL10JeVqXfvyRWjGzabD1Tx1 te1i7QStO7nGpxvQC0R sjv5eYbm407AuMKxQ MOGg4LZ7xbfuutt6xtbXW2727f/xN9vnc6YvAaYdC4BjQ7H4wkKIoKkK/kMNJoi0Ggg8JD75JalIk0TQkfmUo3phVX6N17WryVk7QZxBKE/H9aYystcpyqO1u5funZE6BUu3lMz3rCBECKIMt 5n31lo/WcpG9YqKJ 9Rfuf96qX0u05VtdwoTQXQddv5Jo9NXaoddXBaurP6wxlYdp9G FP7XP XufO/WxpQKPFP w6OPSGNmjz71foN20ePFV5aG2G5vGASecS0OhwoNFIJpLPQKMp Ao0GPM//MP4gM7Ucoqfqi7Sv73x6NaRCOoSSsv9zQlLjQUjxnjcGJYXRT0 9sLg6vaT78uGGjNvrm4hJeJVLv3rM6hc1kcjq8y2PH/2p5CyMOcwBodDjQ6GTT0cFbrUj0QKN5aDRVoNFgcWHewW46N34 6Qw4tFEYHjFPoKo6mtq73Kw tlWj07srrpeKAv3r3ntXFeyQVHUIuVOp/tHKNXk7H12gN71Szr67y/ 8LZe4/CP KzGn0Ef6a2b77G1c37dYBVgo0OhypRns8yPKZx8/p2ECjeWg0VaDR4CH3idm O2MOfe0I/2GNqSR54xQU dXKyW6/RpO1G0wNNZP qTMOTzZXmspXBV6Qe2maax9kS7DModKBRocj1WgAVgjaEg Npgo0Os9ZXJi3s89lalihRKOTno/56YnNWrEwOvC/EayKt RK19vW7UWGhv1Znwc6XbnCNXztNNJuI2BFQKPDgUaDNIK2xEOj qQKNznN83hGLbUeGdTCwWLfutYpbzQfjLDQYdyN1nn/ hal8VVChN21mT8RV5EDJh jiSkvTXLudfY52GwErAhodDjQapBG0JR4aTRVodJ7zpfN82lda iRL/yibL1Chn4H3PVBpKQ f3UFhslsoZn4d2MwGpA40OBxoN0gjaEg Npgo0OhWko4MVnpk9L7b62rJhhKh8V kAACAASURBVLNtO2/uCQwu3LSZPVrlNirXbrOWu3/8BfVGkko8UH8/0OhwoNEgjaAt8dBoqkCjUyGnNPp/ZEmjkZRy 9avqDeSVAKNDgCNDgcaDdII2hIPjaYKNDoVoNFItmI3V1NvJKk EGh0AGh0ONBqkEbQlHhpNFWh0KogaXV9Pf0rRleXbfztm8hqoy yISK599opu7P0C9nSQaaHQE0OhwoNEgjaAt8dBoqkCjU0HU6JM nae/KSnk0djvDk0ZTy HHDRuLy18 X75K95rOX4d9tc69t0j/q92ByadlnmMLnY4uhnYbSQZodATQ6HCg0SCNoC3x0GiqQKNTIY c0enFh3tHFHFvopK6M6c7VOs/xMn3JBtP zVXbKx8L3vxhjamEEEKiLIgox1zhGr6wG2i3kWSARkcAjQ4HGg 3SCNoSD42mCjQ6FXJIo3me/9J5/rqrlroypi8f1rS/XvHwg jPLhl3t7/yj wZ U8Scmyhc4AtVthsd9DoCKDR4UCjQRpBW Kh0VSBRqdCbmn0s7kpO7uxefoCdXFMT5bOVFStCSya2PW2VbeK rFXi1NHXXbWj9mbarSNJoNERQKPDgUaDNIK2xEOjqQKNToXc0m ie5x N3b5lqciR0g7/Ui/rNg9dDC4hrn1951NhvcOrde5f/0T2Vn1u/LSD3fRsbop200gSaHQE0OhwoNEgjaAt8dBoqkCjUyHnNJrn a dxk8tP6Ouj0nmg/3W17WErDrU8LZkue/DHn0RWVPEnql371ldXLPz/ zVClbNX/OXR8t7efDm6QsD7Pon4xztRpE80OgIoNHhQKNBGkFb4qHRVIFG p0IuavTiwvywZZ/Zvls5fdJdB4fe8K KGK7FF3ca1q02nfq/h15fRTZtvnm4rOpHRf566Kt17r1a8mrlZDft/Y/n0BPeYdotIiWg0RFAo8OBRoM0grbEQ6OpAo1OhVzUaJ7nFxfmP 7c1yLy64/DjhudOnajlrx2ZPVVW9UrZYFud JSn9jm/K3fuZ0tXm5rrHzds9Is2WW1qrhde fTEZq1MNfrc GkFOzQPjY4CNDocaDRII2hLPDSaKtDoVMhRjRb42mkcYIvlurT hxZ2GVys8nUf4a/XuPav9hrxG6GmWPLIsctToK1yDnX1OkbUcItDoCKDR4UCjQRpB W Kh0VSBRqdCTms0z/MT3mE7u/EK10DdLMMz2bBB33CQv3aEv3Z48jc/0a2R9jQflvQ9K0ujm bab1kqhi375qYnaH/5KwMaHQE0OhxoNEgjaEs8NJoq0OhUyHWN5nl bnrCafmVzfxTWXVL17v3rNa9sdO/BmHXQfexSuvBzbofl7kvUd 3lHOFa3B0MQ 5T2h/5 kAGh0BNDocaDRII2hLPDSaKtDoVMgDjRZ4NHbbwW4y23c3zbVT 180j/ik4wli7gX2/LvNvnYmYvIZ 80uf2xoU3wktAo2OABodDjQapBG0JR4aTRVodCrkjUbzPL 4MP d6yNHF9PjPEBfppeMu9vLVwn rC0vu3msxt8zrbCYvAab acO8zafd4T2N5xWoNERQKPDgUaDNIK2xEOjqQKNToV80miBZ3N T3zgvCjItqzIPZeXYQqfQA 0wb1PwdBxxgEZHAI0OBxoN0gjaEg Npgo0OhXyT6MFns1NPeQ cbCbblkqTF4DvXnxut626lbrf/Gibp1SKjqa5tqvu2oH2PXDln251gMtBRodATQ6HGg0SCNoSzw0 mirQ6FTIV40W8XlHhi37BtmSHueBc OnqUuqbCN0P9 yVNjZ5752GnOnBjoW0OgIoNHhQKNBGkFb4qHRVIFGp0Lea7TAs 7mp71wfDZm3D7Dr4dOR9my273Z0MV/YDT7vyOLCPO2vKytAoyOARocDjQZpBG2Jh0ZTBRqdCtDoUOamJ wSfHmRLzPbdJq B/mBEGmmevnCFa7hlqRDsecI7nC/2LAKNjgAaHQ40GqQRtCUeGk0VaHQqQKNj8Gxu6tHY7S/sBkcX029 6bqr9tz46dxW6ubpC5fHjpvtuwfZEod529dO45NxLu/sWQQaHQE0OhxoNEgjaEs8NJoq0OhUgEYnwIzP85D75J7tiKOLu WN 2WzffXnseA7M8tE0135u/PQVrsFi2 HoYhzmbV86z/u8I8/mpmh/5DIAGh0BNDocaDRII2hLPDSaKtDoVIBGJ8nc9MTjsYEvnef/anlLtOorXMO58dPN0xeom3GcHFvobPW1XR47ft1Va7HtGGRLHO yme7Yj33K9T8Y5qHM40OgIoNHhQKNBGkFb4qHRVIFGpwI0emXM Dw 78i3XO/ntgaHeZuji/nMvNVi29HjPHCFazB5Da2 tuzrdauvTTDmK1yD2b77U9sbji7G0cXctb3zpfO8l ub8XngzcsAjY4AGh0ONBqkEbQlHhpNFWh0KkCj083c9MSMz/N4bIDjPh61N9 1vSPotaOL6be89qntjT5blSDZYgTrTTxCJYaYPltVn63KZntrk C0R3mjIVvu5reErV8dD7hOfd2TG58nfEueUgUZHAI0OBxoN0gj aEg Npgo0OhWg0VlEMGyhA/sRZ/2W6 W4j79yddy3vStkyFYr5Fzn//qH/ eSEPHBe7YjwstG7c0c9zHHffyQQRZ30yzgmbRQdzOoFGRwCNDg caDdII2hIPjaYKNDoh5uf5jg5 ZISfn f5aBrNcfyNG/xEri uIW8 tn0htmfa 5KvQKMjgEaHA40GaQRtiYdGUwUanRAc52 jZ8/yfIRGi/974wbd3cxzoNH0gUZHAI0OBxoN0gjaEg Npgo0OiFEURb8QKrR8/P8li0hkg0oAY2mDzQ6Amh0ONBokEbQlnhoNFWg0QkhdeX6 hCN7uiAOsgEaDR9cCxEAI0OBxoNVsKNG/zAQLCEMqwtTUzwAwN5d2cYGk0RaHSiDAwED9ddu/z/Ibo1uqJlADSaPtDoCKDR4UCjwUoQLrtbtvBTUzwfqtFTU8Fn8w poNEWg0Ukg2nNkxEMa0AMaTR9odATQaJ7n fp6ftcu/zU UqNv3OB37cLER2B5pqaCjaejg dDNVp6czivrsjQaIpAo5NAevYPiwLbbu4BjaYPNDoCaDQ/Px/SMMI0WhzAjc5pkAhhhZRR/1sw7PwBGk0RaHRynD0bxaF37fJPhAeoAo2mgGBFIpEaPTHBcxy VXZMJ0OjwsSVS3ZmfD6mRA2BZwpqT2JbE/96yJe uyNBoikCjk0N6R0lMfluCfIBGU0D4YRlZpyhotHhyz2Og0TwfO rZE2hkhnQRpZIT2XgKFIG02uDnMQ6OpAo1OmrADGPV8sgEaTYG w2R6lGj0yghoPHhotEnVsidh cCIFSRFrqNKuXbT3jAbQaIpAo5NGeheSEKxcKB g0RSIVafIccHDJL rnqDRfuKMLcnvH1ogFWI1p/xsSNBoikCjU0HsZsu3ySnlDTSaArHqFMXTet7frIdGB4k6toTk 34AwkBakJ5k8v6cBjaYINDpFTp7Mx3EM8gYaTQdp2Wtk8vbCFg AaHSTq2BKcSEFqRDanvJrkTgo0miIpa7Sji8nnfHmWefjPauq7 QTcZapMpA42mRpwp1fO 6gkaHULk4DAFXviBXJA2p3xuSNBoiqxEo/kHBUjeBhoNgsSqU8TNemh0GGFjS/JzQBhIF2JRWZ7f04BGUwQajaQWaDQIIbLsNc8vbAGg0eFgCheQ RoTmlN8DMKDRNIFGI6kFGg1CiKxTHBigvU yABodBeGqL0ySCLIL9WrAtOe/DudggWVyXyo0miLQaCS1JH2cZx5oNGWkdYq4WR8AGh2FiYm8Hh BGFVy75R9otJKARiOpBRoNwpGWveJmfYDENZp6B1g28 VZ vuQzWSnsSWCA9du2SfpBgONpgg0GkktsrowCECj6SPUKeJmvYS kNJr6cY1kIrI6W6KZyT/QaCUBjUZSi6wuDAKK0GjqvWKZzkyl6gsj/d3IdBL/xqHRSFINJtOgmck/STcYaDRFoNFIapHVhUFAKRpN/btDVhhoNJJUZHW2RDOTf6DRSgIajaQWWV0YBKDRSHYCjUaSiqz Olmhm8g80WklAo5HUIqsLgwA0GslOoNFIUpHV2RLNTP6BRisJa DSSWmR1YRCARiPZCTQaSSqyOluimck/0GglAY1GUousLgwC0GgkO4FGI0lFVmdLNDP5BxqtJKDRSGqR1Y VBABqNZCfQaCSpyOpsiWYm/0CjlQQ0GkktsrowCECjkewEGo0kFVmdLdHM5B9otJKARiOpRVY XBgFoNJKdQKORpCKrsyWamfwDjVYS0OiVZKhObe3PyJaX plD5WqrdflXelrUpt7A/rzHeFwJbN pGWpR64iAyvB7zaQrgadCI6sLgwA0GslOoNFIUpHV2RLNTP6BR isJaHTqucPoiaqqRbOUgY17WtSEEFKoHhqO 0qXhi1XkUI1e7NgycpULfv6BwW8S2N9U0VCUOkaNbPxn4qIrC4 MAtBoJDuBRiNJRVZnSzQz QcarSSg0QlmSK/SNzKGUrW0g3ZIrypu1Cxm5h09RrU hsIG49Sw1SpC1Ky14Gm3WkvU7HId2EtWpooQQlT6Fs3sgwJ3o5 oQQojaeifeU5HbkdWFQQAajWQn0GgkqcjqbCnPZvawRa1NpBso PwKNVhLQ6ITi1Aw2qourmY/0amnvrLsxgxqdYCaNalLNTPr9WGXoTuD1Ejle7GWKCRFEPM5Tk duR1YVBABqNZCfQaCSpyOpsKcdmJtxWTaAbKE8CjVYS0Oj4cTd GP7A9LWrWmoBGOzWDjWotIaSUGYrWp vfWiejLySEqE51a5YeFMxaGUOpihCV/r2YpcliFnuZ4iLGPVrAD2sMhSq9UZPUPzBO9Uj8whJZXRgEoNF IdgKNRpKKrM6WmWhmQ/roNy1TjEvD/jIwzmdY0/77pCsnYw1bytxwprD4r57VzGTks06NqVRFCIkjD9BoJQGNjpdh jeFn0QbtjWpMRUSrZwZDNXrJyuyW/u8dzanSYKmx/5UuDatj3KOBTbk0Q3WScuQixn1f F0eKE2uizBp4U8KA6eDO4xeMF2Xhi1Prnd89qag70Sr1zxN KkUj/PMA41GshNoNJJUZHW2TH8zG9YYCpfpKoqfJStTVSoZUn H0ROirWZcdwo8LepY16CYiTVsKZPDmaQRr55RNfqxUa2VKkFaG gw0miLQ6DhZ7GWKy6PPfeFuVJNqxtqokh7hT7vV/yNwYEz2MPpClU7PuO8EKpiFI2pYYyj2a/TSHU17tYqUqnt6C5aE4jCxENmpseoFmfZXKoe8NZEI7qjGVCR0 mWus1UlodPBQjzj9xXkq9eM880Cj4 SxUV2lZ0zVgTZJBSdKDRQoRG5XEu/8rghELK7FwMjBuR9Lm6Cty/D05qpG/UxPkcZHW2THsz83cYraCy2f/xFqrZm8JnKwx2V7NWzZBeRWJchf1tIJlhSxkdzhTRKqJo9FI/c6gwtGctLQ0GGk0RaHScLPYyxYFCiyhPFTHWc2rxCBdOJdo3mc ejBa731FpJSYZfl6uZSUlH8mQPoy/0/ AWDj/XexKNflDA 8WaEKIyGP0mPXuT0ReqDrUw54OnLY212l8SHfUc4W4M7e0eFbd DiPTMFUicp1Z0nGceaHTMuArcRkZfpDb9Tl31JvM4kVkRkdjJT 40On4XTX88a84ZVMJIJhZTYuRgYyR2i0WJ3hog29pElq7NlJpr ZSocJCf3ZhATusmqs1f4CRU LOp6gJzlsKdPDmQLji1Q64UZ0hEYP6SNuUKelwUCjKQKNjhPpD 8coFDGDHf67M7Txn3HcjVEuKpEaHaw2iRDlOE t9DjPPNDotMWlsb6p0r/L6Aslc4c7NaZydXtPwdKDkNqkp91MT7IDg4Y1p34ZzTliPZ6Bf yBbrhIPnOUfX0Hjl61GL/UzR98M/IxPIH5FkDqNU2PVB etj5nghEJK61x8UDDZK4xUEQhodED7BHWOP6lRsg0m02SimYkj 3cVHhB6fWPOlCq1COnBI6FcihJBSxu3UWKv97UqYgSryg0122J L7Pcban4RGJzVCSfo5CLf7/JfdsM kl9ERQjardIWEQKMDQKNzPMFjO5Iixv1XsZeCEKIyXNCw4fMuh/uuTs8MtqxAvkuZwV7NLSNjCN2s3qjhH2isbyZwi1OcHDpSlOM8 tfLjPPNAo5fNkpU5lcggVEkfzyGj/4dZYOYWlanXfxNWW808HNaw5cvPDxN WBnVUUflx3o87RHv84TpcqzHV9L4ZavRiU5OL/2TRGbhjPWNVzOTSutcFIp0CVH9U6lKS0h0URbHt8T d8nqbJmJZhYc6R74TAIjfPyHc0IDhwKP695W64v8H6YwA1X4T7 Ukhy3xoxpTkaqqReNKsMG4QkcoJd/mo2i0f2Sh2vSxxlQU8q9OQ4OBRlMEGh3ldBDrdJkTedodVeJVp t54T0VuR1YXBgH5a/T83xf 7eJWit/ stqx2MscbYl5zZjsYfQ/YzyuQOVPOeP5q8ZQGPfG rDGUKQ2/U6tC4wB8D9YGK1dxXo8fVm6o kJ3lcN6nKsxyMzde/Ff7u4NfEvXbYaLRSSVcVQBGGoRpzvwmNU6wghhYEbFHEjahatz kVxtEmwji6R3GH0peqe3oKFWNcFsRqhNN6is7I6W6armYV8ZXc YvfTDucPoC9WDPUEDTmjg0IMCPrIb w6jj7gGJTtsKdbjIXLv0lj3Mi6bpv1Nxv9zKPYIpQQ nHCNFkYWat9kHt HRoeQdxo9//eFDuvdXWd6yNFLu3571vrHQ/P316XlmJRJcl6jQ2o8Ql05zlPSLXB/rj55tpkcvbSlqfvsv3428bepTLfSBJGzRnOe74WjRkhHR2P2Dx z/rZWoczAF4mlRk4A8CUVNMSo A8WLLg1bHn7FkmbWqjFV 2/TBxvSqMZUFE2XYz2etmiswu0j/31VUZdjPR6SAfPbu357VvgGtzR1L6vFAvLV6NDvXWqxgRF1JLI AY6iRGbojeQEhJNoAkuBYEeHPAxMK0elcFLveBUoZdwLDIqWJe V3wd1cT6QiWyOSeRi9ZmSpp2wg9chd7meJCtfUv/gcTGjgU2LK/8kH8jqL9tE5q2JKQp91qbTXzwCh53KUZqgueu2ZvMvoi9eC/M4dC3y5yhFJEq4hyoQzTaH BqFD5PQqNDiG/NHr 7wv1F/8k/omQ vdbc8ykkTi5ca0hrAGQo5c4z/dZaKvLIluNHvnmPyM/tPr3W7P5xT02qrWF6vPvqrVhYuTUtNcFRVmo8hQuLYHRMJKaDc mLxY7AIb0qipo7NaY3o4mRMCPs/QhdFrYc XjsJNUbGojGWq02/F4z6e8Qkmp01MeDsf7xUOSX2GG9u y3L0ONnu1lqkMv4UP6kFsKk0a1Vq9xtaiJ9E79A//NbvGVgfrRiDKwwMy4wcYjTiiUyc7FsOlEHxuZ9h6N6z31qUAD9 rcZoR4pGZOO370y2c3owo6U0OSeRrsb1SHHSKhGh/7KSoDACWTWyhjK1Yb/pdYXBj7q4FRUwaQ4bKmaeRj9jmuChJ8WEtfowNDDSNK0SDA0mi JJaXSH9W7khUToWlv5YYnIP57 7VEbwJam7vm/L2ShucZHqtGe73 QT7Y0dUf93AbMb2fpuxv2l16MG8NX3F3sZYql5chCUWB5wHS7N abSoKlIXyyY1lOhny9Mth4UPO1WV0er9BC6kQwd4brs3/K/J6rRodfpBEa5hWU0hi7HeHzq3otRv0Fy9NLIN/8Z/9sXux7kotEujfWXoYMohH 15LeQu1GlfZP5r57QgtcH0SanF2exkFQ1CAs7sxcYXXAej8CEQ pnrXBR0VmzeTg1brTJ0aqxvhuxwYCYilS5iqr44VrTMXcrl hdzTqODQwD9Cftaw9ZDWHbgkL/tBW4KST/qO8yhaDfEkhm2JHkXZ zhTKWMe1jjei/O6KYkVjeDRidO7mj0SrLluDEjp3tEZunoaExLg0GEnDzbnJ0vL rTqPbRrx6kxlYZcHp52q7VFjNuhMRSqdHrG2igxFcmLxR7ESWM UjY46aUxwC cYU1Fo112Mx4PzDT8oWOpn3n1PM97DHKoL3IeN1Ru6bJLU6AHz 2yv/umWi0U 71cURRTiPjWqtRKODJRAR3 zSv8cfRR0Hld6okVPnYniBU IaHdhhaV87Ibmu0RI11Firg79DJOMKguMfPN2MqVqVZP2MX6O1 1Yy1N/FbTHJM1Jk6/EFRRyjQaH ot1okCxFKopF0JWsaLd501v OMZWHC 6QXqU/H1x9d8nKVBUx7vuBaVtIiEsN6QOKGah29Wt3hEbHWrvH3agqbm T VB1tN4waq RxoaRStOqHLepiveY/jKFvF603NGQ3JDYW/KskNTpqRUeykYlGe1rUkdfvJStTJbnkBydSCPtmnRrrgWXlVKW r07h7NNYWtS70cb1Rk9HOxdB5kNSm3oLJHmZvnD2NO05AmvDea HHCu2rmoVNcly7Hizqkaiid/1j80h/f1rSHfE3J3ybKQBJfJCiNgUYnDjTaH qHCpKFnP1DE3X1zKVkTaOlibj EUKEbuA4uhELtfVO9MJWccHbqBQ3aj6LuhtGTbTdS25/pLuRLo1Wem 01ALdjSpSqDYZg7PhTvYypmqVoKHuwCqqQxcYfaFqa6mqKvCgp 9s/k242VjyRWSKLOh5GzFuaX8uvBGexIKRUzXYHht Js0EnN2ghcwkUisSdrVxugUYriaRKPCPHFwo5 4cm6s0OyUJGbu6JpQic53vqJcgDo9 J 0P7wAohVm30yM092f8So91AV nPS/qek9TWSWNwbulg/KtyRqe4UfPfNyN7H1V6o2ZW nip manuLcqXaPm6R1N /Zl9iehzyF9tdHJThUah xodKx5LQ3dmvAu4VLG7RRvZfhJdnBe2kOlczFqbbSnU/y4VIaW/F0MXO5xaqz6aOcoGQcanbNM/G0q8iqy5bhxwkFzKlxlZagugRVSkom0eHTovcR cDs1Q8H7rSrpamEhs cWqk2d4VP81L/fGtkGbvTfp902eZ7nPd//IE N5jzfR35oGZ pI5YpInE nNgfWtTfkInM1JE4WfMbf91q4Ayg0zO3AqWowgSFJHR 5eCKbo3xZDEryY/OxUySdxqtwECjcxnP9z9Ip789ebYZDp1E7jD6iFuik72am43Bq enj57FRXVzNDIbNq1CoZm8WLFmZqkQWJHNF9jsG5roPTlMVfCr sR/z8/XXSgYaJz56bBWSr0TzPe77/QZz4bMtxYzYmXF9Oo4VePVO15FY lbg01jfVcebczeqHE/dD4/5cLf6M3HWmZ2D0u/Q2EvhNQsmHzsVMgmYm/0Cjc5 Jv031mH4 de9F6q1NcRnSq6QLn4oDMhJdRMCo1knHPvtH2KhZq395sGUXUg 7MFOZflkmYJzj0bq/qkFGzJCp1tEES8/fX9Zh nsbb2WlBzhotIpdrmKvAbWT0RWrT79RVsWs6s5HAessKqrjNkB XJpW0g6Q40Gkkq0Oi8AIdiapGuXjuk9w/rsXYn1hUn9Nv9jtEXBisxJo1qwXSF5cFiDRUXE5jA0l/kJ9b8hU9BFRiqH2uBOlldGASg0QqNsOZCeoudMhpoNJJUZHW2R DOTf6DReQEOxUQSnOq/0S/KkRot9AonsjWhcFlbzXwkuacpLE/gHvVPgJ9sIax/gtjQahCxWzpyhQIxsrowCECjkewEGo0kFVmdLdHM5B9odF6AQ3 H5BEuNg6MApRod6PGNYdLDGlN9cPBfzASm742ywNhyEWdFCOty Di65FG0uXiGyujAIQKOR7AQajSQVWZ0t0czkH2h0XoBDcdl4Wt RRJ7INcVb/oqlRpqlfsjJVgVqLeGu5BVcF01irk9Do4MxiUZfJEFdzjTFsUV YXBgFoNJKdQKORpCKrsyWamfwDjc4LcCguG/9CEqVq1siYqlWCj04a1ZFTNbkb1ZGLpgq1zqbe8LXc3I1qbcha bhprtf9Z6fhFycajrEARdOjYqygHyqZVUVeiktWFQQAajWQn0G gkqcjqbIlmJv9Ao/MCHIrLJrigLgkWTsRY yC6rbLRXxnlb4WSaHdjlOkOIjU6uGOhDu1feS7Q/QyNzgQ4cHIg0GgkqcjqbIlmJv9Ao/MCHIrLR6iNLlSbLjBD1uCDbHXU5eLCbXXWyogFylHWcoui0Rrr mwlMdyDOGx3RDy2OLNS3aGYlL0NRRxrBgZMDgUYjSUVWZ0s0M/kHGp0X4FCMktC1GyaN6jgzXUTG06L2T2MXXGVw Xmgk02spYBNvVEVP3z5FTGyujAIQKOR7AQajSQVWZ0t0czkH2h 0XoBDMUpWuPyyOKpP7GNOeC68xBNS4xHZF 7UDDYGPLtUzcae0FpWFwYBaDSSnUCjkaQiq7Mlmpn8A43OC3Ao Zigeo1pHCClUmzqzuzxykpHVhUEAGo1kJ9BoJKnI6myZS81swP z2ybPNu3579uTZZusfD83fX0d9l9ISaHRekEuHIpJCZHVhEIBG I9kJNHqFmbr3oqd/ 9S9F6nvSXYiq7NlbjSz fvr6t9vFU/4Qurfb80Nk4ZG5wW5cSgiKUdWFwYBaDSSnUCjU86EY vJs83icXrybPOEYyv1vcp0ZHW2zI1mZv3joTCHFtLR0Uh931Ye aHRekBuHIpJyZHVhEIBGI9kJNDq1TDi2bjluDPOeLceNOd8tLa uzZW40s8iGFDz50963lQcanRfkxqGIpBxZXRgEoNFIdgKNTi3S fmhpzv6hifq ZTSyOls6upgcSCyHJkcv/dvFrdR3b VJ7kuFRisRR66f8ZH4Sfo4zzzQaCQ7yVDjz 22MX9/XRz1ob57GY0Mz5ZKJ05bmv/7Au29yzrQaCWS22d8ZNnI8MIAjUayk8xpdA6nx/TzOOpDffcynUw0UqqstwAAIABJREFUmHzm5NVbURtS/cU/0d41GkCjlYgDNpDfkeGFARqNZCcybPyKIJZDb2nqpr1rQGFIz/bSeL7/gfau0QAarURgA3keGZqEUjQayYHQbkeK5Oy/fhZ9dgXrXdq7BpQH5/l 15ke6Y8xzvM97Z2iBDRaiTig0fkdGZqEIjQ69zl5kp YoL0TQI5MzcxuaeqOvAufj8WsIE3kez 0ADRaiUCj8zzQaBAFjuMJ4U epL0fQKbM/31B2ifdYb0LhwYrARrN89BoZQKNzvNAo0E48/P8rl3 s/nICO29ATIFxylII9BonodGK5O81WhP/3ZxDdJdvz07cnMP9V2iEmg0CMdq9Z/KCeF37eLn52nvEJAjOE5BGoFG8zw0Wpnkp0aP3NwTZXxMTqw mmyg0SCEqSl y5agRivzhA6yAI5TkEag0TwPjVYmeajR8/fXxVqA1NO/nfruZTnQaBDC2bMhDi1kaor2bgHZgeMUpBFoNM9Do5VJHmr0gP ntWPOe5mGHNDQaBPF4ojg0IfzZs7T3DMgOHKcgjUCjeR4arUyo z9ua/bS2Hoql0fuamqnvXvZDuw2Gg8szNerro2s0IbzHQ3vngLzAcQr SCDSa56HRQCEMjH4XS6PP/utntPcO4PJMiYGBmA4tjDUEQAKOU5BGoNE8D40GCmFqZjaWRo9 885 09w7g8kyD fngyEJxtjuhnEP874EB2nsJZASOU5BGoNE8D40GysF696tIhz5 59Rbt/QI8j8szFW7cCKnfkP63aNVbtmDyOyCC4xSkEWg0z0OjgaIYuPG/t9QH5 u4cfoyVuGSCbg8U0B0ZWE0oVSjw6waAJ7neX7ib1M4TkG6gEbz PDQaKIj5eX7LFmuVf6zhyQPNPCH8xATt3QI8D42mQkeHv79ZmN suzJvF0g70RgMJOE5BuoBG8zw0GiiIGzd4QsI1 uRJ2rsFeB4aTQWh11kksvt5aornOCq7BmQLjlOQLqDRPA NBkphakpoqeEaTQg/MkJ75wA0WgagigMkAI5TkC6g0TwPjQZKIdBSo2j0rl24bU0daD R9oNEgAcTjdGpmlva AGUDjeZ5aDRQBBwnKoK15n Ga7Qym2 OAY2mDzQaJADUB6QLtCWeh0YDRSCZvct67qpfo9/9l2DzJcQ/ygpQAhpNH2g0SACoD0gX9Rf/JLQlzvM97X2hBzQayB3pOm0jI9aLfwxq9MRE8KmODto7mtdAo kDjQYJAI0G6eLk1VtCW7Le/Yr2vtADGg3kzsiIv43W1/M8H6LRfGDOL2g0baDR9IFGgwSARoN0AY3meWg0kD9TU/yuXXxHhzBFdLhGz8/zN27w9fWY2Isu0Gj6QKNBAkCjQbqARvM8NBoojXCNBvIAGk0fa DRIAGg0SBfQaJ6HRgOlAY2WJ9Bo kCjQQJAo0G6gEbzPDQaKA1otDyBRtMHGg0SABoN0gU0mueh0UB pQKPlCTSaPtBokADQaJAuoNE8D40GSgMaLU g0fSBRoMEgEaDdAGN5nloNFAa0Gh5Ao2mDzQaJAA0GqQLaDTPQ 6OB0oBGyxNoNH2g0SABoNEgXUCjeR4aDZQGNFqeQKPpA40GCQC NBukCGs3z0GigNKDR8gQaTR9oNEgAaDRIF9BonodGA6UBjZYn0 Gj6QKNBAkCjQbqARvM8NBooDWi0PIFG0wcaDRIAGg3SBTSa56H RQGlAo2XI/N8Xzv7rZ LlucN6d/7vC7R3Kv ARoMEgEaDdAGN5nloNFAa0Gi5MTUzu6WpW7w2C6m/ CeYdLaBRoMEgEaDWCwuzM/4PDM z5Nx7hFn/Zbr5biPv3Sev297977t3SFbbTCWXzq6GENLw76m5n1NzZfP7nF 0MdIX3LW9I/wVx33McR97ub5HnFXY Iwvt05Q0GigLKDRckPaDy1Nh/Uu7V3LM6DR crc9IRgJz7viGg/X7k6BI8JEyDxCL3xr8fEB8VXfuXq4LiPv V6H3FWn3dE2Ozc9ATtfyJIJ0KDecRZOe5joXk42OcdXcwgW2Kz vdVnqzLbd1/hGoRcHjve6msLS9Nc xH WlgiX9bqaxO3c91V22ersth29Ftec3Qxji7GYd521/bOqL35W6738djAjM/zbG6K9meTPNBooCyg0XIjqkOTo5e2NHXT3rU8Axqd0zybm5rxe R6PDXzL9Y7am /Zjgg9go4u5jPz1j/bavpsVT3OA/HtZ9lcHjsubqHHeaDPVvWp7Y3PzFtzynvyjLnpCZ935Fuu93Nb g8O8TWgwfbaq667aK1zDufHTsbQ402mevtDqazN5DUJj 9T2xiBbIvRqj9qbH3KfPBnnFNDAoNFAWShOo/2XnxxNj nnsTSaHL1EffcyHdqNKxRodA4xNz3xZJx7yH0yam8WdHmQLbHY dgiibPIaWn1tzdMX6HqPxbbD7z2WXwpu/WScQ9c1dQRv/tJ5/q WtxxdzB3zy0Lv8rnx09lvM8nm2EKn0Mauu2r9DYzddM92RGhdc rRqaDRQFkrUaP5BQa5m/v66OBpNffcyGmg0SCOC nzl6rhre8cR6C8UjZm63MSP6NZ9tiqh6/qu7Z2vXB0 7wisOjvMTU94ub4v7AYHu0n05lZf27GFTurNY4Vpmms/N376Ctdgse1wdDEO87Yvned93hG5KDU0GigLaLTccvJsc1SHPv uHJur7ltFAo8EKmZueeDR2W1CfQbYkZ9RH6FC8wjWY7buF3sQv 7AYv1welTi/P5qZ83hFRnXucB0xeA5XyjGymefrC5bHjQtMaMm//xtX9ZJyj TVAo4GygEbLLROOrVuOG8MLo48bp 69SH3fMhpoNEiBPFSfprl2k9fQ4zxwx/yyoNQy6kpUIM/mph6N3R627HN0MWb77stjx3O7/cRJq6/tuqv2L5afO7oYoV0tLsxn /uARgNlAY2WYSYcW vfbxUd uTZ5gnHVup7lelAo0HiQH2ENM21C12Jji5m2LLvP8f DJ9OkMWFeaEJ2dmNPc4D58ZPK/2uRdrb1S1LheDTWe2fhkYDZQGNlm2m7r3o6d e853QYqDRYFlEe4b6RObc Oke54EBdv2wZd jsdvw6VjM Dyj9mbhB5jJa0ATihPBp/vNLznY579zfZSNRgWNBsoCGo3IJNBoEIcn49wXdoOoPtT1Qs45 N35a6J/Odj i7JnwDt81V/abX7rCNeTn7YuU0 pr63EecHQxo/bmzC74Ao0GygIajcgk0GgQiXDnfci8vd/8Ut5WbqSWYwud/n5E8zYv10ehyFU2LC7Me7k B/v8LUsFfoOtsFFd4RoG2PX3bEcyJdPQaKAsoNGITAKNBlIWF Yfcp842E0W245z46epC4Ryc278tMW2w84 95D7JA9lesI77DBvs9h2yH iQ6UkINPFn9sa0i/T0GigLKDRiEwCjQYiQt9hn60K6pOutPra mxVdva5/OmZnvF5hi37bOafohVlIoJMD7IlXzuN6WxR0GigLKDRiEwCjQY 8zz8Z59B3mLm0 tosth0O87bcrpleXJj/zvXRIFtyhWug/pnndprm2s323Q520w/jD9Lz5UGjgbKARiMyCTQ6z1lcmB 1Nw w61G9mumYvIYBtnjU3pyT3dJz0xN/tbxlse1AJX3Wcm789AC7Pj3d0tBooCyg0YhMAo3OZ2Z8Hgf7vN m G7OPZSfHFjqFTsQc65b YfyBnX0OndBRMvt hX7talNzfcZalMW2Y9iyb6UmDY0GygIajcgk0Oi85dHY7UG2BJ 3Q2Y/Jaxhg13u5PtpNID1MeIcH2PUYkBotV2uHdm1k36/L8Bv1OA842OdXtEw9NBooC2g0IpNAo/OTr53GAba4efoCbc QWy7VmH6sNTTsn72a0Tdqnr5gM//0a6eRdkNYKYJDoyHFyMWdhnWEEFKl37 U2fe6PHbczj6XuklDo4GygEYjMgk0Og/52mm8ZalAIUdkDnv0RYQQQoj29Z1PM2vSxxY6b1kqFG3SMz6PP By6622rbrX V7snu2jvCc1cd9WmXt0BjQbKAhqNyCTQ6Hzj0dhtm/mnynTozv3sy1pDXc1KbUncTmft0K7nrOcOS549PGnYqi/ZGPpghiKY9EPuE9qNIhUWF Yd7CZZFAXNnirTrSGEEFJa4ZFbw75U0/6rTP8kE2O27x61N6fydUKjgbKARudgnBpTubq9p2AppT/3tKhNvQX8gwJ WNP e03iG1myMlWEEKK23gk OGvVsHqV0K1GStU9vTH3anmN5jh YICfWEHVXVJAozOJbLoPk8zSmYqqFzZ/VLNBSwhZm7rjLp2rPFS6mf31Zt0aQtZu7Dvxi0Nrs3DDPU6apy 8MsOszu85zZvjSef66q5Z 2xAy21ZteqXo1G8O0vsqo bw44aN2uzJ/bGFzgG2OJUBrNBooCyg0bmXxV6mmBBCVH4bTiouDVuuIoVq9ma Bp0Wt1WueJviHTg1bLehyUKOX plDhSQUday9iqfRExPBcysh/HxWZumCRmcSh3nb5bHj1N0iyVytHXp9FSFEW1720Wta3d6aFAu Xr9a592oJIWTTZtMvtLq9NY9/s1lLCHm1crI78Jqug0NvaMkabRaF7Nz4aYd5m7JmwXs2NzXIli jznkY2033Q iohP9pgzd4PV5PXMGTenvQ3Co0GygIarZQs9TNH32RcdxJ68WQ Po/8Z43FFe3ZU0/5L5qEzvg2rWatmSK8i5TE2EvZ2vYyhVCWKsqjRnhY1IUSQct6p MQmvqWYmE9fo Xn xo2g0RLC19dnqalBozPGhHfYYttBWyxSymxbtal8teFE7Yq3s5 N9rSi4nc79bGmIRgfLA1bQ5518 mxVyirt NpplNP0dlfrPA2bdWsI2fSToX/J2reWSOrde1YTkrkJ76Km3/xS0vc3oNFAWUCjlRJRSYeGV7SdJStTRVS6Rs1sLCc2qgXT9bSo E3q7O4yeEEJU/1Sq0oZotMZaHeLN7kYVISSWmkfR6IEBfsuWEIfetYvnsjXNLTQ 6YzjM27K9SOGScXd7 SpCCFm7od0gtxvugX5uUaOv1g69vkq3d7f7YFFWZlcQ0 prc5i30W4gSeBgN2V3mZWLOw2vxiyNCP74Wcm31nXQ3VCmX0sI IbrXKz0fpGfPn57YrCVE33Awe5/VtStcwzeu7uS UWg0UBbQaMXEVeB6T10VQ38ftqi10noJp6a9jnkcsFX3e4y13//fs72MLq6OL/YyxUWMe7TgabdaG1roHFOjS9U9vQUL/mKSGH8ilIsQEqtQJESjPR6 vj5EoIWzanbKOQSg0ZlhbnrijvnlLHrPNWH hFXByqJ1m4cuhr6gcz/7Wpn7kvjIYU/tRtOp6JPsCuXRPaeSd/EP9rGvrCJrN0in7106U3Fof83s1Xr3ntVBjb6407COVOn3//eJzdpsj1frN7 0onl/s8izuanPzFuz2paenthcHGvuFOGWgoi0RCf45z852vB2oOXUu/f8Q9idjdm2alO5pK0mqONXI4eoBjYVuJuxdKaiag0p3lOzmL2P q9XXdtf2TnJfKjQaKAtotBLjaVGz1uD/Bsb2BTt6F3uZYhJ4zajGVKSqagkOFvS0qAkJbmHpjuZUqUr7Zk C77zD6QvXQsL/fOvEC68W4Gv2wRa0lhBCVoTv6n/s1emqKP3s2XKAJ4Ts6eKs1q1nhW3s8SNT80P9Rj/NAVtVHnDQ3QPitbcEwgr4i FB0eQ1ORRenpzDUlgTRCdRDE6LVVT7ukmxtTRF7JopGB8lqSet 1V 34rYuZagBpHSI84/Nktzqo 6D11dgdusK3tukng02/OLSWkJIy94fRGo/4K65zP1sqaYof7B/cu0FLiO61iqG2Ov7akdkzlYZN0XU8PJ372dKQuRGXzlUeWutvP v7HL1Tqf5RljT620Jn0FEzQaKAsoNHyz2wvU92oWZQ8MqQP0eJ Jo1qr17ha1KSIcY8W8A/8hch6o0Z4gbtRHVKRPKwxFAb8WCxZFgV3VGMqUrNWoVojPRotO rSuTjMZo9j63gdMiLwiuRsaxayB0YFRe6P99 JFX7lUY3ohhrxKtxNzUudQW5I6VtgOBNxa3/Br957VQfG6WvewVpgMZEN7bdmv12VTo69wDRn89k eTOPlYMbn6bNVZbEVfVhjKiHa8jJrc7R7EUKzEYml0WSV4UQt3 3XQ9asNWkJ0e2tmu s8JyoMmwhZI11w5/DkKZ1hU9TtRET44RdoV/4SprUbbzZVn9pEyJoi9sxhYecTkvJ0BhoNchxotNzj0lh/qRZLMgKaGzJQz92o0r7J/FePvxhDVG1Ro592q7XVjEPsw3Zp2HK/Hz9sUWsL1ewFRhcst9BYq1WG7lDbDnv3AMUSv4 l0QGHJtrq2EMbBY2WTseB5G4oaPTs xX6QOdctLvkhz36IqlhLJ2pqPpREXsmfJTY0rnKQ69UeDoDG4w uJRJbuibZ4JpVhmN7rbpVIYLeuZ8tDWj0mijvyH9YY3ohmxrd6 mvL4Lefbo3 1PZGFhuSYKIJElV/L9XoE95AvO1EtnDDhtibWGU4Uev/DZDx1XykaZ6 kHSpPTQaKAtotMzztFtdHFFM/Nio1ko02j/6MD7VjLVRtfzL/Kj0Rk2wW3oFGj3ZzegIIcs5NC8WdXg8/K5d0aWQ5t18zhZFujl/5l56lNq/S/3sG uipac49F5LQGwYoOgZhScqnG9ELI3f/F5rJisupQw9v/fVwb U7Fe3b/R iWQ8hqUYeCeqMXF YdXUwW21JYkX18outvvVXykn8q0UZpDQltJ7LJVcbZhr7hoKDR 2Z2b3OQ1fGE3JPelQqOBsoBGyzyeFnVxaEUHLxRDSzRaKG5e5l RczbiM6ogztkpXp3H3aKwtal3o43qjhr/DHHozOE5x2URqtDhv9LIOzYcNMbRao8zRkeWhfrRriHM10/Z/M9t3Z1F9rta59/rneJZOpJAAkRotzBomsupQWAF06CulGi2UX8eieE/NlDCaMCpZ1ege54FHY7fTfDSJ9Vpp1Wie54ct 86Nn85ec1oy1lj3bFjefUl0/Z19v0J8Xvd6pefCPvaV5bw8EY2 WvfwYPAvtOVbXcbD/Af7h/5nJfuaUDV0kL 40/BCxOBa bUlaDRQFtBomcfdqCKFapMxWFI82cuYqlWEqHR6xi0Iq1MzdIH RF8abxi4LidToIX00uZdUnkgTXkI3NcV3dETpypqaotT0QHoQ1 svI4rX84k5DsVgscXiyuTJsJoTYRJlkVywOiVkgK3lZyFg0sdw 5GsV7ahaF9VaiklWNHmDXp3 mjoxptILmID88adiqX0vCqn3SkECZdZQpaGimaa7d0cUkvZoPN BooC2i0zPO0O7ILmRCiMnRrJnsYvXSNwFLGHdrju9TPHCpXf9S o1sZdhTtTGh1a/pG0Rgt4Ima S/dlGGSfe7YjJq8hS5fzxeay4gRvi6cn8WzJb FZncAuqZi8hr9a3kr/V54xjeapTEOeUC5UHnrV/1srpA/7BenUiqlksmGjfk l23g47Gdh6stqZiQ9zgNfO41Jf53QaKAsoNHyj6db6H72C7ROz 9wKOPGsVSM8pa2OssCh0G tb2QM5aGDFGWZeAO6R0ZCajyAwnkyzvWbX8rS5XyyYcNyvXSHP foi3Ws6t/Ewf7XOvbdIv7c6iTUvYtnSOq2ueIPp8E5hU0vGmlsHN vWZKAzMp2xmX864R1O/1eeSY3 YfxBv/klOa4H7p xTkpaVjcU10qUoHtj52QX/X9yIOfGTzvYTaksLA NBsoCGo3IJMvMiySsCt7RwY MZKutgQzyua3huqs2G1f0yYYNMTvqut62bi8y/LrCsIkIhc6LYgVzMh3GMW0pMBOwhFX62n1y6jKU5grX8LmtISP fdyY1muf5r53G7M58l3iCSxKuSu7n2XIJ/mZbu8F0fL cGlXz9IUBdv0P4w9S S6h0UBZQKMRmSTp6UWBknk2N2Vnn8vG4LDF5rJiQggh2vKymw1 VbmOwL9A/4nCN1rBrs 7H/lvtS8bd7eWrY48dTNaWJLfdZac70rT62uzsxkytX5hhjV5cmB 27Mv6sj5IlBxb6LSZf/qQ yTF7xIaDZQFNBqRSaDR cYP4w8G2PXN05kePBe2KEY466uqszmTrjwjdB9mpJxDIMMazcO k5ZHm6Qs2809TKYkWgUYDZQGNRmQSaHQeMuEdzoZJR5/nbo3WUFcjp3JSiuqTWYfms6HRfMCkb1kq5FgnnQdp9bUNsOu9X N KvkVoNFAW0GhEJoFG5ycT3mFHF5PxiTuWjDW33ikLLGSY5ipVJ cfkNWTcofksaTTP84sL8187jQNssSzn7sjlXOEa7OzGNDQkaDR QFtBoRCaBRuctMz6Pg930/7d3d8FtXHee9w/6HNz4YlL1PMwFKqzKBRxnbSvrZ4ZWLO/kseB4jGyMjF4cO3GcbC/F2BLncRlaeSXUkhPEimtka9A2PR6Joi1VOxS26MpI7B0lAxEmC cQ0zGgIEzHKlYxYnWKtEokFc8umLBZY1LBQqH4uuvHeIEASYKM bv0/9LyKKIkEQkb88On16OPYUFhG3ec7FuyfFu28tNv/GRtuV0aob81OT4t3n4t14RW3D9N88eWl099To9xqzsR4ZDeaCj Ma0yCCj29ntlaUPQr2hkb/AIuJ2pk9s9Ae3V7blfkbbm9GKotxeWboSem5s5P7tO6G8/eb5tdPn4t2RQbr5CworIaPBXJDRmBYZZDRcu3oZi4jblj5b3cO 6Idue0arPricjIw Phh7Dj2cNfxWdSfaOi3deCT3X4J/EkNFgLshoTIsMMhoURbm9sjQz2T8u3nkm2YuYbvi8cfVwU9KnJ oMyWjWfvBAR70VMN2RyAe18P3SwKduBkNFgLshoTIsMMhrybi3 K74cOjotOxHSj0keY942N3N s9KnJ0IxWFCWztjqfvBAZeTg08hfCvA8vqk3M0ZWBc/HuCfGu5r6KkNFgLshoTIsMMhrK5GL6zjPJ3qMrA4ZnhBnn6MqA o/vhgW0yuiMzlucn34/dHBCvGs49lTzzyy3yAjzvpHJfZFB lEs0Kwb9OQho8FckNGYFhlkNOi6tSh/GHslMkhHJvdtx10PrTIvX//JcOypyCCdmew3MqBVLZPRqpWbN34fPxsR7xkbuf Nq4fxQ9o6L6Fx8c6p0e9du3o5s7a6Hd8bZDSYCzIa0yKDjIZ13 F5Zmk9eiI48Eh75 rl4N9YRq03/zZPn4t1jI/dHRx6ZS76z3Xugq2mxjM777Hryo1ggIt7zq9Fv4nV1UHnr bXT XqOjjzy /jZpi8/l0FGg7kgozEtMshoqMfKzRtq94yN3I/uyUniPiPR/FAsYvP5dp1YzO03p65OFx8c7h2FPCvK tlqj7b5584 rh0dBjkUE6Nfq9ueQ7213PechoMBdkNKZFBhkNG/LZ9eTH8aHoyCPt2T0HlbeOrgwI8z514TAy8vBHscBn15NGf1uq aPmMzlu5eePa1csfhHojgzQ88nX1pWXJn9aOL750Jtk7MrlvQr wrMvLwh7FXFuenjf/nC2Q0mAsyGtMig4yGzSnunrGR 62d1Go6n4t3/2r0m5FB n7o4LWrlw1bOKyfeTK62K1F drVy7 Z9EXEeyfEu0ZDj51J9pq3qo8vvvTG1cPDsafUF8 vR59olXQuhowGc0FGY1pkkNGwdbcW5bnkOx EeiPiPRPiXSOT 84ke48vvmTeqn5 7XR 1fDdkQcj4j0fhHrnku 03LaN9Zkzo4vdXln67HpSe3WNPBwZpKHRR9UXmDDvO774Uksdo nd0ZUCN5jPJ3gsh97sjD0YGaXT08Q9jr8wnL7T0iwcZDeZixoz GWHWMfnGBpazcvLE4P/1xfOj90MHIIFVXE8/Fu9 4erhlwzpfP fi3aOhxybEuyKD9P3QwY/jQ4vz0yZYda7G/Bld6daivDg//btkcGayPxrqVv8SC4WeuBByn4t3n0n2qq 044svNWn1Wv3g6k9Z6g9ao6HH1GKOiPe F/rxh7FX5pLvfHY9aaZXDjIazMV0GQ0AsAm3V5ZuLcrzyQsfxl55 L/TjiHhvZJCOjX4rHz3qmuL23OhO/UTCvO9MsvdcvPtCyD02 q3i lGXDFvrX9u3wooZrevWonxrUb6WlH6XDH4Ye VK6LloqFtdvVbn3ZEHQ6EnfhnafyHkzo/awf/r3f9y dIPLl/6wTtTB/IvjPyEQk EQk oP1mpEw11vxf68ZXQc8nk23PJdxbnp28tymYqZl3IaDAXZDQAt K189CSTb89M9r8fOphfVlRXFvO5o6b2RidfQr8M7Q FnigE0Ojj74cOzkz2J5NvX0tK6sMw sloprbJ6JrUH fK5lpSupaUbv/Xfeqz9Plrx64lJTWLy2abDm82EDIazAUZDQCgqzhfFq6Oq62TT L5dPOrfn TQ65fGzxa/fT55QX3/4g9i9BdkHGR0PcxckA1j5icBGd2OkNEAAJuWz2j5T58Y/VhaGDK6HmYuyIYx85OAjG5HyGgAgE1DRtcFGV0PMxdkw5j5SUB GtyNkNADApiGj64KMroeZC7JhzPwkIKPbETIaAGDTkNF1QUbXw 8wF2TBmfhKQ0e0IGQ0AsGnI6Logo th5oJsGDM/CcjodoSMBgDYNGR0XZDR9TBzQTaMmZ8EZHQ7QkYDAGwaMrouyO h6mLkgG8bMTwIyuh0howEANg0ZXRdkdD3MXJANY YnARndjpDRAACbhoyuCzK6HmYuyIYx85OAjG5HyGgAgE1DRtcF GV0PMxdkw5j5SUBGtyNkNADApiGj64KMroeZC7JhzPwkIKPbET IaAGDTkNF1QUbXw8wF2TBmfhKQ0e0IGQ0AsGnI6Logo th5oJsGDM/CcjodoSMBgDYNGR0XZDR9TBzQTaMmZ9w6xq9AAAgAElEQVQEZH Q7QkYDAGwaMrouyOh6mLkgG8bMTwIyuh0howEANg0ZXRdkdD3M XJANY YnARndjpDRAACbhoyuCzK6HmYuyIYx85OAjG5HyGgAgE1DRtcF Ga1raUkZH1du3NB WVmQsqxIkrK0ZNQDNAAyGswFGQ0AsGnI6Logo3WNj5ckY1lB5p 06WljH a2QkaDuSCjAQA2DRldF2S0rlOntKdl505laamkIJeWtP9NiHL vNEPdBsho8FckNEAAJuGjK4LMlqXLBda dSpkoI8caLwW9jUYRLI6HaEjAYA2DRkdF2Q0dXkF6TVNen8s9S eS9EKMhrMBhkNALBpyOi6IKOrWVoq1HPl7NyprK4a/RC3FzIazAUZDQCwacjouiCj15F/cipnfNzoB7ftkNFgLshoAIBNQ0bXBRm9vr17dRp6716jH5YRkN FgLshoAIBNQ0bXBRm9vuJrDfMjy0Y/LCMgo8FckNEAAJuGjK4LMrqm4qM5CFFOnDD6ARkEGQ3mgowGAN g0ZHRdkNE1FR8U3W6H3BVDRoO5IKMBADYNGV0XZHQ98s SCQuyYZDRYC7IaACATUNG1wUZXY/VVWXv3nY85K4YMhrMBRkNALBpyOi6NC2jI4PUSvO7Pm7uv3OGP 4wGzoa/o8hoMBdkNADApiGj69LMjFZm7ZjWHGQ0Mtr6kNEAAJuGjK4LMr otBxmNjLY ZDQAwKYho uCjG7LQUYjo60PGQ0AsGnI6Logo7c8WYn2 Vl6o39wivXtoXMxYx4zMhoZbX3IaACATUNG16XtMzodpD1 lt3aR3ARmxC0Z8fYwKusMpd9HTbfkE5G zqI08sys3Zl1p4Ksotebof6yzgTd9nc6z quD1 hHMQQojNxdNEuOR3s2HW12UTgshoDTK6HSGjAQA2Z lWOp/R0x//weiH08LaMKOnmK DyydmOkhdHpra4gd00sSMPRXg8lmsjuznyC4qx3X/IJM8nCjZ0xL1ddkIsfn8TI7Zl4c4RwcXnarxSRNejnTRaNiuxJ josTn20IXcZ1EbmhBkdAEyuh0howEANmH64z/kG1qd82NXjH5QrarNMlr2cw6eLZdF8J6tZfQMEzo5KWzPBKlTr 8iXh iwpBPxCS8nDDNxl433MnlDuzummK jsFydCnAkV96pIerqogmJ8sjoIsjodoSM3n63FmV1PruevJaUr iWlZPLt/MxM9l8JPVc5H8Zeyb/PXPKda0lp4ep4/kOt3Lxh9JcF0EbkP31S1tDqSO/91uiH1pLaI6PlF6nu q7s54S3mfAfaGKm6p9dCHB9Q1q89h0oTXBttHVlJUx5vbXnhJf T2dQxa5f9HP8yFTpt/BGWilf5pLUmG2YDRavRqSBLhO1KGBldAhndjpDRzXB7ZenWorx wdfx3yeCHsVfeDx2Mhrrzx9GHQk/8c ivL4TcI5P7ziR7y b44ku6I8z7yt7zXLz7Qsh9IeQOhZ54d RB7eOPPBwNdV8JPZdMvj2fvPDZ9eStRTmz1sb3xAJoghP/813djN55dMjoh9aS2iGjZ9jAM7r5a18IcDv hv7duhm9PMQ51DXmKebr4CR1F3LcHj/COXPxqoVybndHSSufpnzRHmh1I7XLy9Kz9uUhboeXfS7RPo/tP6k7NCo/6boT5W2EENLBDQzbSzZSI6NLIaPbETJ669RiTibf/iDUGxl5ODJI3x15cDT02HDsqTPJ3jeuHlY7 Pm10weVt5o9R1cG1E npvaFkPuXof1qYUdD3TOT/XPJdz67nsTqNWwDwg1rzRbWh1hoVvGv7wmjSbfym0Q0aHaQ vn9FKmPbw9K3HtfZdHlIv2iOkg5PGcu9TtOsjymsZPefnev6Wi nu07RmpAOf2s wME5wl25oTXs7F03gg38RM8nBikAm7uOhUySaQtER9uzjxos4n rTmpIeoiXEk0I6NLIaPbETJ6ozJrq7cW5fnkhZnJfjWaQ6OPqu vKL1//Sf/Nk9vQypuY59dO55e0L4Tc6ur1e6Ef/zZ anF GlUNzdBCidPoWSej5bFHDH94zRhkdI2JM3EX53uxfOOEMmtXZp jwOBV5TsztXZ7zcw5icx0oeucZJjyuFa3sp1JYzVabi6dRv3ZN obqunIkz8RtFGR2mPCGEEMd/5p7uzO1dDrKLXs5BOClcvgkkO0Z7dtFErPyTar/sJJrOirXzGSZ0kpKrG5HRpZDR7QgZXY/bK0uL89MfxQK/Hn0iMkh/NfrNc/FuYd7XstFcf1ifSfaOTO4Lj3w9MkjfDx2cS75za1E2 vkGi2ihxGn0PPPT49Uy2vDH1qRBRtectMQEj43o8lA5SF25Xzk 89OJJynfovy/JrVWfPc2G dIP6KGpWXbJr7/snfBy635E/QdWdTU6THlSdIjeDBM6Sw/IQ0aXQka3I2T0Oj67nvw4PhQdeSQySC E3OrGZcPzt0lzdGXg5es/ORfv/tXoN9Wkvnb1MlapYStaKnEaO8lfenQb vxbvYY/tiYNMrrtJs6kPUWXFQ5RV/EulFlkdDlkdDtCRpfJrK0uzk//ZtKXX3W2cDpXm fXTgvzvuHYU PinZGRhz OD312PWn0dwbMx9qJc/6t3rKGPvHqUcMfVfMGGa0/YcoTGx ouB/KhiZ3J5SMRN2ksPfD ImxCa 2k9vhoRNlDwwZXQoZ3Y6Q0ariev7F5BNvXD18dGXA8Jxthem/efJcvHts5P6IeM9HsQDWp6F xidOk dG5EHp5z3HTvSff6vXqlui84OMbtLUeScUMw4yGhltfcjoW4vy R7HApHj3pdHdwrxve87TMOOoPR0e Xp05JFrVy/jED2oyQKJg8kPMhqz0UFGI6Otr50z sb81NTo98bFO8/Fu7H2XP 8fP0nI5P7IoP0w9gruB4R1oHEsdIgozEbHWQ0Mtr62jCjM2ur8 8kLkZGH1eVnw6vUpHN0ZeBcvHtCvOuDUC9iGnQhcaw0yGjMRgc ZjYy2vnbL6GtXL0fEe0dDj7XhhYPNmOfXTp9J9o6LTsQ0VELiW GmQ0ZiNDjIaGW197ZPRtxbl6Mgjl0Z3I6CbFNMT4l0fxQLYMw1 5SBwrDTIas9FBRiOjra8dMjqztjo76R8X73zj6mHDi9PC8/za6eHYUxHxnmtXLxv9PYeWgMSx0lg4o5eHaI fpbf2QeQXaeEm2608cTZ8gM7FWvU1g4wGc7F8Rt9alCPivSOT 3AEx/bM8cWXxkbun5nsx7I0IKOtNFbI6Cnm6yi6LV9uloc4x7rnH68z 2dxJzwkvp95AeyFAL4Xr/ggxJuwp3Kl7OybGhC6b08sycSYdYVVvYahO3B4/op4bbXPxNJH7ulJB6utSb69oc/FUrhLlyGhktPVZO6OvXb08Lt5ppusIsz/b7fnLB6T H2Ub GFPf1/8y68IvftTg9vzVTy/dnpkcl9k5GEcMt3mkNFWGrNntOznyK4qwRqmfLXfqpioenfuDi 46ZY/yNgev3Zd7eYjb4WWZWSZ5uPWLPMrbXN7c4neMCV2cFC78Vv4DN m iPCcE7UqY8p00MbPeeya8HOmi0bBdiTHRo93RMDtGezpsvJ lZ 3ZMOvrKtzpsAGvGWQ0mIuFM/qjWCA08hf9N08aH8e1580DiScdrm89JOy6gxDicD260IjkTfc9 4PrafWf3f8VBCPnSV6WXn93GL qNq4cnxbtx3WE7Q0Zbacye0eosD9HhynsEzjDhP5QHpf5dUXK3 G8xWfORMkDo9NDVrT3i5ajc1zErUXfExo3who7dntEc4w4TOdT/1FPN1FL7YVIBTf3jI/w8l/3ai/3GQ0cho67NqRn8UC1wa3d3aGzn 4XviQ52 A/tTgwezLz/a8yVCyB38/od8X sUf9aI3h38oeS6gxDi2PXA2W853Pz3G7nCXdcI877IIMWNxNsW MtpKY42MTni54k0dCwGub0iNYy0EtbfU/zHjTHqcRqcKS9qpAFfW2VmJDuh9zKxEe7ws6s2tXseY6LGRDk4 aa 63MvcImeSp98bj2TAb8OivOsv kqre6msGGQ3mYsmM/jg 1BoN/WZ39Nv/l9D/jPLWweUX/vxQ7w LQ3b5hfschGhrz6cPyIcf4L/ QOL10o/w v6BH3xn c1NPoD0Sx7hLzuFvgPGPQnCvG9SvBu7O9oTMtpKY4GMlk9TvoM 4vSyTe8vyEOfw0FR n0PRW9b/UNkx6n9Ra Uob9MWd51cdCq/u6PwzokjVLcys2O0x8kJf6N96kyQHjrJogfKK1xnYkzw0MRGLh NMDVO Uwv0TJDu4Nly0Ve9/uT3sQwM28sfWIwJXUV7VLb mkFGg7lYL6M/uT47Lt7ZGnclfO07vi8TQu7gn35M/H/vIF275dKyT//sUd/XHOtk7vIL9zkq/pTZ5o2rhyMjD OKwzaEjLbSmD2jE17OxdN4oLSSp5hvT lODPUtU8zXQdRL6HoCatQy6YC2f1p kUZD2h9U1IM AkzJLe7mIzX3qZm0Rz jlVkm7eHEfq1lsxJ1q5 z6BGmhqiLVHRqvFDbqQAtWVGO2xMByqsPvoNTDw9JX6Q9e i7fs6tfpzcwnnZ2vz6kxqiLlKa3XEm7bE5PFXP/UBGI6Otz2IZnVlbjYj3tMrJ0Nmf7XZ/gRBCnA/dd/jLhHzxK9K6G7Wzf/ dvnsIuefPo3//rPLWQWXoR9JDhHz5vuhrW3gYgz K/rWDfMHR998aetnixmZkct9HsYDRrw5onGRSOXZM2blz/f/UtWZG6OnbUrs/bokU2dmRBn4uO5PzjFBl6stZRY XkP6P87frW3N35iTOiyEVKyUls25s7oMOXVf/z7z9zTnUU7EGaY8DhNzRbtxMi9JX2R8h1Eu8BuVtv4oUZklOeE IJMe17ZTZ4L0UIDl3m7PStRTepmg7OeKj7konoSXe8vPeYqXn3 MPQJm1a2k zHzfKH9lZiW6z8sy6gc/wFJxuxJj0QDt4 nFIZbWHrDN6WVrYdbXZSNdnDSUu6ZwivmcNDFjl/2lGT3DhE6iqbz6cIYJnUWvkDiLHrCRrvUWxZHRyGjrs1hG/z5 djj2lPEBrY3awV9wCH3dMt9ZntFlgfvmgcST6i6P3CWGb3ZHv3 0H UKtrdKvfafvr3bP/YP 76b7HnB9gRADLjEsnufXTk Id91eWTL6BQINMj6u/aeOEGXvXiWpv/29FTM6zsRdOkeeKVUu/9KdrETdXZyUb/Ew5QlxeGg8bJf93IZPWghTnuhdtVbt7U2YhYB6qJl1M7poEl6O ENv/TWrp4ISTVPDYdH7rPpurQ/fP2PgAU8JMLHuBxdiEV3uGK3CSxISu0rcVrUbP TmHXtRm/0nvgemz8X/Loi9yrrLPG7anXq22TF54BRb zzLDhE7tBZmWmOCxqa/5dZ5qZDQy2vqslNGZtdVJ8e7W2M6hzTOJ7/6Zupdj YX7HCUZ/exC71e1v1bV9ebXvuNzOoT/vl/sIrl0flbmOwm5w/dC9zqfRV3z1j/c483u6LfvcD25L/GjTkKIEVcZ5udMsvfD2CtGv0agQW7cKGR0Po Wyn9MMjajl4c4p4ee5UsXAksPH1DUpUQ/S2uHB9d3xZW6tJn7F3P1n7bVLonytqqnqs3aFXUfrZf6ujjfiy wVL7xRt1 rvb2xkx2jPbkobIeMNt2khqi77GezGBO6mv8jlrpnI3dZYWqIu jo4aUx7wayzl2NLrxlkNJiLlTJ6cX56ZHKf4elcMqner6iVnOl/wFmc0epCteYO3wvdyy/c5/hCp3i8O/rtO/LJm l/wEkI3/ujGp CkNJF62fl7q8KfQfUzdlu/vufq5czGrnN ujKwKR4t9GvEWgcWS78By8/588rq4VN8MYmjnya8p2c8Lecq/jfneNM3FVyNK/s5wjR/i3eTfQXqssnv3FWO1SBSR6burN2nVML1PqZ8Obivmi3a8Krn8v V3t7Y0S4gs2ZGM8ljI9UuGaw8va76eXbbOnF74vXcPg0/5yKcEGTyEFN/GpSHqK9rvR3JjZyidXSHh05I5S Y/IK37qWKyGhktPVZKaM/jL3Scrf7zvQ/4CR/JvQ/U57R/7hfuIu4 e9d7/2qgxDnd/cv5Q7u0Dz0aGpIW2l2fnd/puqneDb13/5c3bZRqO3T3xe7COnaLZ9Ur3HMqbU5u8nzq9Fv4hhpq5meVnbu LCnpnTuV6Wn1Nw3J6HSQ9uhlUFaih/wsq0ZAUVclvBwhxMGz5Snm67BVO/E3P4kjVBqzp4ZzV3F10USscMcNdUm78gzdhFd/nVv2qzfAK89l9bPUn9FpSb2rnI0/UljkrvPpcpHCLgXLZXTVqTwWWv gaIMmG2aS2q/58zEK1w7aiv8po5UHGY2Mtr58RltgvD1 wy8ufHah9 6 4j0Yr33H92XC9/4o39PFGe3Y9YB09Dtnuwh56NHUwPfEv1SPeX7wXf4/Oh56NDV0UDn5KP/F9TP6oJLbAF14t9f3C18j5ItfkV4 MNet3nvlKwOHdr9wl7EZ/d7P/6p88RJj1XnmGUWWDcnoKK8frAmvTV0nlv1cyU7TOBN32cguKv rdklWeUdOMeGZXLUUbQ9Vcrdwc/2Q43NXralL2uUrc1M6l4jlPhpx8HSiLJdznyVeZ0arX0JuXbDa 6WM6o11ZyAlva9eWtU9GY7ZhkNHIaOtDRjd0XvuO72ulB2uc/r7YRZzf3X 7/wFn8e7kN3OBW7T2nP9Tmf4HnOpb/nG/cFf57 bfx/Pk/rR6pPSb3dFv31Fc29mf7XZ/qTSa/3G/8DVjM/rypR8Yn3eYbZw/Pstt93 5Z5jQqZ/R6SB1qZdVBbiyC7aWhzhHJ03MMMmjk61ZibqL9kwnvFzxYnb6I uU7iso1TPmKjM4EqbPKhmn1o0ne8ltA6749fziDMmtX4kx6ksZ DbCB/mFqMSdq/tms3aq75dKlXFjr20IUryGhM4wcZjYy2PmR0A dZme8sv4xPPW3joUcXfqodflfkjqd33Vnl4u1cOv/jfuEu/dVobUv0hhi8qWNyxGN42GG2b86ff/8ftj1xZpjQadPO/9L7LSGYi YrhVPqshJ1d9LEjP4lfWULzGW359A2ReS3X08xX4deRhNb31CV O0h3UullruzCRPWzzAaK3h5n0QOFqk5fpHwnN/FPtKf002kHOxCbL1Be0pkgdRb NrD9/Ru0pyO3vXsGGY1p/CCjkdHWt/THG3Isbo35ddBv6N7o098Xu4q2bWjzTOK7f0YeejQVKN2mXFMh o/VP6jBhRr/7jmvlyrgiyxjrTDKp7N1bHtDHjik3biiGJI52aEY1NiGYWxu UnRELtEOFEt49S8v 7cq55GlJerbxfn B8d35PZD6y2HFx FoaOTTpzSOw3NQ eGqp2SVo/yfd5lGe33clX oM7e7k0mUd6mM3q1xm2bkNGtPMhoZDSYyY35KUNP6jj5KP/FioxWr/Z76NHUUOFawLqoGV25SyQ32Zcf7fnSBv zamRGH10Z2NJ/hqEFSVL59YWlZ0gbkjjZMBvQPeuXEDWjUwGuJ8CyZcGtburYo3 O7k7RED5d9GC2jmVT4RLn0DNOe3AFhxVO4JLFSJ038momVj9lD U7Hit9t8J5mYf8xdNDHF4kfW 5lh/cslU4HWzugbN5RnnlGIts2nsho1t5arxmlpa0aC4 LhMZDWCUzNpqZJAad270yUf5LxLHrgfjAfXguWdT/W7xWw5C9Dc3t9ng3GhLWVoqX4RW72hYuna4TYmjbUiofchGnSP 7c4c6a8eNEaJ/nrSW0Q4PlYJ2g49Ia8xz2EqbOlZXS15gp05VHky fa8xzKam6mtmdVU5f77k 3vjhvZbyGgAA30Ye8W4uxi Vm3bxh09vT/c3H1P0j/dzX pcqNIjcn bLf7a/cN9xl49yeX7t9Lh4J067s47p6RZKnEZntHaX4 JlXT9bHqM9u7izXs7RxQ03M5oXApybp/I2HAms8xy2UkYrSvnB5Ho3n7dyRseYsKdkx3w2zC6dpLyTJmbs qWHK7yq8FLMS7avy ldvz6ndKmjWnpVoj/oCizPpCNM/UTs/cXv8iLbbvvg2RkX/5rPe6Xv6r5nKUzL37tX5piOjAbbf7ZWlSfGrBl1oWHQ37 KG5n wL1V5f8G6PmB3dO9XxZ8eqPuPPLvQ 1X3t3arS D69zU0Zs7Fu2cm 41 dUDj5KvIuv/gLgc4FyGkgxNOs/SsPRWkgsfGe6lvV9HGjxgT9Q732MLkNoqseytEQ8aYvdEtuXGo eRPli059iTGhK7fBRjuGxebiabToH0ZSQSp4qRyzZ4K0q9rrUE 3hXEkXbjMUpnzFPcbLJuHlSBeNhrWXunZHwxgTurQLedWTanoC jesKX/NyLK2Uad4yv4VCxkNYKxrVy Pjdz//Joht sb/FHiwH35DdCub 2 1L FJeHc8na9N/FWj4smxPVXD/i 5hD66u/vpo4w74uI92TWalwqBCazurpOQKssljiVk5Wou HJG2MSz1XrEgPHsJM6VleVU6d0LmNdWrLSa0xdMy67 UuU1zJa9nP5mwhWvmBEniYk2lN2w/CKSfhpNGxXZpjwOE3NapfD6u6D12aK ToKF92mAtodOtV7DOW2OTHJU35co85rZmlpnW9iCWQ0gOE igUuje42qKQNnDcPyC/s9n1d/5JEg6b/5snIIMV2jvZkmcTBKI3KaAscqtjQyUp0QO/ 81mJ9nhZ1KvdHTPhtTk8NF4lebMSFf3UnT9A5iLld9FoxTtnx ihx n1i9SjVS TPPqHrOt8ijAbyK9GF709NVzHanTlPynUM8hoAAO1a0m31vTfP Dku3nljfsrolwMYAxltpWnFjCbk3/ jTZk2/snZ9CSOUN3bj2fHaI TE/5Gy2glxqQDnOs Tvf0cUXdfZHboaHeVUfbjFHxbq6uwgJzlOfK77ipN1H1tj7525 KrM8V8HUS9xLZa30cGqc4uDmQ0gCmoJW3cwR3tPsK8LzJI0dDt DBltpWnFjD51yuSr0Uzao5/RyiyT9nBif2nmxpjEc W3qNS2Pttc93FS2J4doz3foHMXqZsQh4fOlV6rmh2jPZ2FrSMJ L fTWwvXndQQdZGK7Favx83ffqjyNbO0pJw4gYwGMKWP40Pj4p1G 3yG8HedcvDsi3oO9HG0OGW2l2VJGLy1t6RY/lSuax46pW/PN/hqT/VzxCRjFk/Byb/k5T9n9gOJM2lPUsvlLD71U4jnfUOFeP04v 9eKSl4IcI6iHdiyv/QdZoruSVR59eEMEzp1znJRb9Kpu6pdeM3oXlx47JiSTFb9vusd/tPikNFgQTfmpyLiPefi3djgsT3Tf/PkpdHdsdEf3F4x31 C0FhmTxxM8Rhz 6TKw9F27lSmp63zGouxCW 1e1VyksSELp3fcP4N/bt873Zx4qssFbeng9r9dFw8nZOY5OUcpYvHcoD6jrDEycIbU69 WWwu3K7N2JUx59UwP9ZczTOi0uf1sIXetofr2TJA69Q9Wr3jNj I/rnLtS9N00O2Q0WNPtlaUroefGRu5/ fpPDK9MC8/za6fPxbsjg3Q ecHo7zm0BNMnDqZoDMjosnOjScXhaHiN1T9hyquV3aFzq079iT NpT GywtQQdXVw0pi64J27rDDOogd0Lj2s pqpvPEK2dT5LS0JGQ1WdmN KiLeOxp6rP mYTfEtvAI875x0Xkl9BwWoSEPiWOl2e6MLruLoe7haGZ9jTHJY 8vdUr61p2ixvPjEvbTEhNztV3gvq3a3oKqvmRs3yn9GMuEWjkr IaLC4zNrqXPKdSfHu4dhTiOkGBvTYyP3vjTyKndBQxpyJg9Gf7 c7oGze0G87v3WvVW/xs68SZtMdW/wWFDZkar5lkUvsW79xZuBm4mSGjoS3kY/pCyI2rDzc9z6 dfuPqYTWgF ets7kNGgiJY6UxZm90rUVKvMbqnKxE/dt T5/ar5nVVWsEtAoZDW0ks7Y6n7wQGXl4bOT N64exgWI9U//zZPDsacmxLs CPV dj1Z 7mGdoXEsdIYk9G14DVW52THaN8Beilo386Sbs3XTPMgo6EdLc5 P/2bSFxmkI5P7cA3iOnN0ZeCNq4d/NfrNiHjP7 NnsQcaakLiWGlaM4nwGmvlac3XTPMgo6F93V5Zunb18tTo98bF O4djT718/SdYny6u50ujuyOD9DeTPiw/Q/2QOFaa1kwivMZaeVrzNdM8yGiAQk r69NvXD3cnhcjHl986Vy8W117/s2kb3F OrO2WvvpAyiCxLHStGYS4TXWytOar5nmQUYDFNxeWdL2e4j3hE e Phx7Spj3WTupjydCbZOxp6LDJIfz36xMfxIaw9w1Ygcaw0rZlE eI0ps/aEl MDrN73j7PhA U3CW/StOZrpnmQ0QD6Vm7euHb18m8mfRHx3gnxrgsh95lk7/HFl8y 8aP/5klh3qetOg/SX48 8VEssDg/jX3P0BBIHCtNayYRXmNKmPq8LD1rV2btCwF6Se4iUTY0KXzell mTiTjrAaZ1fH7fEj6rnRNt2blie8nM5tw1v7NdM8yGiA2tRV6o/jQHDkYGab6qhXlfi4f10ZUBdb15OPbUP4f OjJIIyMP/2bSN5d859aijD0b0HBIHCtNayYRXmPZMBvwUmmIpWeZ5Cm5 3e1ifKcELQrYcpXL2B1El6OdNFo2K7EmOgpv1thOkhdhCCj85D RABt2e2Xps vJueQ7M5P90VB3ZJBGBuk/h/56ZHLfmWSvumi9zXmt5vLL139yJtl7Lt59IeQeG/1WZJBGxHvfDx38bfzUwtVxdDNsA/X/DhjLjNEvKB2Rts/osuqturtjivk6tMjW3m2GCZ2ctM7q9RTzddjcfu206VSAIx1cd Cr3uzEmdNlcXTZkdB4yGqABMnTv/xgAABXuSURBVGurtxblxfnpueQ7v42f iDUm8/ryCANhZ4YDT12IeQ F 9WO7u4tusZYd5X/AdHJvddCLl/GdqvtfIgjYw8/F7ox1dCzyWTb19LSrcWZdxfEAAsqW0zOitRj4fGcxEcPUCjU/ZUgMtX7zqTezcmeThRqu/ThdlA6Wp0wsu5vCzqRUYXIKMBmkstbHUWro5fS0q/SwaTybeTybevhJ7Lzweh3l/84v/7/k9PqKM2cX4 jL2i/pG55DvXktLi/LT6AVduWudeUAAA9WjbjFZm7akh6ubZsprRvI0PsOUhboeXZfT eOR2kLmJzeVl61p4J0h08W87v7qj1iaK8jRBCOriBYe3uLekgd XXRRMyeQEYXQUYDtAr5T5 QQ6 rY/RjAQBoUe2c0UpuEVqZtS8P0Z4Ay/ex9g5xFj1gI4QTgkzycGKQCbu46JRdCVN F5Xj9oSX8w1toNpdhBOC6naO/P4QZHQBMhqgVSCjAQBqavOMTni1XRlZifYFWFainuKMDlN F42f5jx thBkF72cg3BS2K5MMZ TJmbssr80o2eY0Ek0lXE8w4RO4vSyf/VyrtzZIMjoYshogFaBjAYAqKkdM3qK TpIBRsfYEqYicVZHGOix1b5roQQQjgpbE 9SguXDFZOmPLEVujsGSZ02tz/g77Sqf/RkNHIaIBWgYwGAKipHTN6QxNn0QMb2LlR9melPYXLClND1NXBS WMl74PV6GLIaIBWgYwGAKipfTI6FeCqLfqWTTbM/iVoz87a0xITeRvpoolN37Mwxia86u1XiMNDJyqO9UBGF0NGA7Q KZDQAQE3tk9EbmlSQCh6b2r7xOsq7SYOMRkYDGAMZDQBQEzK6l QcZjYwGMAYyGgCgJmR0Kw8yGhkNYAxkNABATcjoVh5kNDIawBj IaACAmpDRrTzIaGQ0gDGQ0QAANbVPRie8HB9gDfhQcTZ8gM5t uyOjQwyGhkNYAxkNABATe2S0WHqy904MDvGBl7dQk/HmNBlc3pZJs6kIyy1/jvH7fEj6oF3NhdPE7lDP5aHtFPwNB6q 3GQ0choAGMgowEAamqTjM6G2YCXSkMsPWtPBTinl2W28NGiPCc E7UqY8tWPfFYn4eVIF42GtRsi5m/FIvvregzIaGQ0gDGQ0QAANbVJRhdPJkidVVZ/6xxtf8gMEzrXvZ/LFPN12Nx lp21K r9Xzq46JRdmWWSx1bPnRGR0choAGMgowEAarJMRmclOqAXplmJ 9uS2c0QP0OiUXQlTfheV43V92Chvc/BsufSNqQDn9rPsLJM8nFhxY0L9hxdmA/nV6Cnm67DxHhshhBAb72VylZ3WyGhkNIAxkNEAADVZJqPlF2l0 Sq9fx2iPU9t6EeVtfIApU8znLN MkQ5SPlfbNScTpDt4tpzf3VFHixNCSAc3MGzPztqzEnUTW09AW 6VOeLn8Zg9kNDIaoCUgowEAarJKRjNpj35GK7NM8mhbL5aHaI 6GcPJlb1zNsz6utSlZSYdKFmrzoaZ5NWuCHR46FyssJ6d8HL17 M1QJzVEXUQnuzNB6iT6q9rIaGQ0gDGQ0QAANVklo 2ynys CqN4El4to7MS7QswJc7Eb5RntPoRhKBdiTNxF9c3xLKz9rTEJD/1eWlU0v64m9iEoD2/ni37SzN6hgmducM3Kq8 nGFCJ6m8srDwYZHRyGiAFoGMBgCoyTIZrcTYhLf0FDkdNj7AlF l2yV3VmZtf9bV40/XIqTwvbUq9WWwO3KrF0JU54UXUo4w4ROm9vPbg5xjo5Cx6ur0b qXKiKjkdEAxkBGAwDUZJ2M3tqkg9RVZWfF5ifOpD2FQ 5SQ9TVwUlj2iWGxXujXVW2ZSOjkdEAxkBGAwDUZPaMTgU4klvK Xb3yZXnsEXnskcXTX3bUPIsjxqKvslTcrsRY1M 5iI3313uJ4QamaI3c4aETuUxPS0zASR0VkNEArQIZDQBQk9kzO j/n3 rN/51PDr1 /q3emn kcO1gFzcctGeN/hKQ0chogFaBjAYAqMkaGX3qlLe4odU58epRwx/YFgcZjYwGMAYyGgCgJgtktDz2SGVDqyOPPWL4w0NG1w8ZDdAqk NEAADVZIKOln/dUy2jp5z2GPzxkdP2Q0QCtAhkNAFBTZJCafY4fr5rRPn v4Q9vi2P0C2RbIaMBWgUyGgCgHYzP/L7qavR7vzX60cEGIKMBWgUyGgCgHSzdSlfL6KVbaaMfHWwAMhq gVSCjAQDaxPTHf6hs6OmP/2D044KNQUYDtApkNABA 5D/9Mkzr/1C/Tt/78 G5T99YvQjgg3bUkYfBJNo3gsIGggZDQDQVqT3fqv nX/szUtGPxbYjK1mdPMeGTQKvk1mgYwGAGgryGizQ0ZbH75NZoGMB gBoK8hos0NGWxTWaBjAYAaCvIaLNDRlsfvk1mgYwGAGgryGizQ 0ZbH75NZoGMBgBoK8hos0NGWxTWaBjAYAaCvIaLNDRlsfvk1mg YwGAGgryGizQ0ZbH75NZoGMBgBoK8hos0NGWxTWaBjAYAaCvIa LOzVEaTtlTzaWm1bxNUg4wGAGgryGizs1pGK7P2thpktJUUZ7T 8p08wGAwGY 05Jb2HjDY1ZLS5BxltJXJRRmMwGAymfQYZbVLIaHMPMtpKkNEY DAbTnoOMNilktLkHGW0lyGgMBoNpz0FGmxQy2tyDjAYAAAAwhB kyenVVOXVK2btXOXZMuXFjnXdERutCRgMAAAA0nBkyWlGUnTsV QrQ5dUpZXdV9L2S0LmQ0AAAAQMOZJKNPnChkNCHKzp3K HjleyGjdSGjAQAAABrOJBm9uqpIUsmaNCHK3r2KLBe/FzJaFzIaAAAAoOFMktGqpaXyZWlClBMnlKUl9feNz gp1reHzsWQ0QAAAAAW17SMlqTy3m3qSJKyutrsjE4HqYvY CMsFS 8cXmIHgqw7KxdmbVnJeomNrdf 6USY6LH5uDZMjIaAAAAwFqsktGEKHv37tu21eg4Ex nctyuzNoTXhvx0JTa2Rcp30Hyv0x4OUIIIZwoIaMBAAAALMUqG b13ryLLTVyNjjPpSZqYyf0yTPlcHGcl6u4s/Fb l mLlO w f6W8h1F69PIaAAAAABLaFpGLy0pstz4OXPKB37lQkSf2czcvoh QCX37mhVjVPinTSiVOcg1Tl9LIMMhoAAADAQsxzieHSknLsWHl Dl54h3ayMjjPxG1x0quSNYs2M7uKkISb5ORcyGgAAAMByTJLRl VtEjh0rO 1OaV5GzzCh08Z7mZw7gkM TfkOmxBsShkjowEAAABan0kyeu/ekl0c09O679XE1ehdtvKNGh3csR/aHLu4pz YaQ0QAAAADtxQwZvbpauPGKJFW7E7jSzL3R2TAb5vMlbXPx9FL Q3qSrBpHRAAAAAK3PDBmtunEjf5uVaoy//QoyGgAAAKA9mCej64CM1tVq3yYAAAAAC0BGm3uQ0QAAAACGQEa be5DRAAAAAIZARpt7kNEAAAAAhrBaRrehmk9Lq32bAAAAACzAU hkNuvBtAgAAAGg4S2W00evCxqj5tLTatwkAAADAAqyW0YZvVsb eaAAAAIB2gIw29yCjAQAAAAyBjDb3IKMBAAAADIGMNvcgowEAA AAMgYw29yCjAQAAAAyBjDb3IKMBAAAADIGMNvcgowEAwLo jfrcvPCunM4a/Ug2JptK/EsitfEHnV2O9jn5gQl5uQkPqsE2 zVus7VUIppIrTXpo1sho1f/fe382JVjb14iT/WfePWoPPbINrdsOkhdhJPC9nSQikFkNAAAwFbclsWnXb5gPHra TQghDpcQTxv9mDYiuxztczh4YUKu82FnZdHt8g3HJ866HYQQ4h pItPpPDhv Gg3yadTX5WjaTyamz gb/2dp59Ehcuj14jl1yrudLSv7OUI4UWJR3sYHGDIaAABg85ajPgc hhDh6zk5MiD73YWmhOauJ2T9Kh/4uutzwYE0nBBchhBAnL13XPtHA5VTV9/806usihBDHIXHisuh7skf6Y4tHtM7XqKwtSGcvpTIGP64ymYTg VO9Wd0hKZRRFyS78y8Cl64368KbP6L0/Gy5raHW2f01ambVHeZvTyzL5Xx7gxIvIaAAAgA1ZSyUkgX9aSH ze1M yID3nIE K8u2Gf RU/DTvIIS4hERa 0ROIVG9MLOphCT0uBuz6H5bFnt4QSrdyfB5Qni6odtjyr5GJbs g9Ti0/70udaOO1LyNFiWyqfgA7yCEqM9/9o9Sz451vxUb06yMnv74D8fevNTseea1X g2NDn0 olXjzalXGNM6LI5PDQeLg3oAzQ6ZZf9HPHQlPrGOBN32cguKse R0QAAAK1Gzej8YmpDZedEt9MtzmUVRVu4dfQ1YdlbT34t3xddV tYWpMNunzgxcbbH0ejtMSVfo7rs2 WLflrlvdWNOvlHoj687ZCVRXf h6VMQnA28lM3K6Ol935bLXC3Z46d6G/22rPs50TJrszalRkmdNr4AFse4hydNDGjBbfosRHCSeEmPgZkN AAAWFn2j5J/RG5Sfy5HfQ5HPgQb6rrEO3O5dlsWnyT1LnuvLUgDw1taIF9LJY I 19OifFvJzonqZmv36Wg82OjtMcVfo1qr1Z/MwkadkXjjH8m6UhKf73v1CXGLjXpFIaM3MAsBOlC4gpBJHpvbz 7K5pHb72VqQOvMZnVuQFpp50SEyGgAALCyTEJy5Xa1NcF3inQ3 8J/4i6YTgyuVadjna5yD1bHhQv CNLJCnpJ71rp/LpuV3Bd5dfZF4K4q/Ri2Uqz Z27NRJ5OSXijfu5JJCM58338a9XWt8yg3qlkZLf/pE m9327DVMto6ec9jQ3W7Bg99DhdKNqhsfAyKeb0sjWJundR dfM15F/MzIaAABgk7Ky6K4zQDcjnRBczcnoTEo6lM 1TEJw1rl7JDsnutffR136adQr6Bw94tz2n5FX8jVqD4WXql9Ju Q20Cx8d/PBcoaSLf1hS36FhP5iZ/hLD82NXKht65 HA6pUvNzZYZT/nGyoN63 ylWX07SDd52fZKWQ0AADAFqnrlztItQBNxwf6Li1k131LDemE4 GrOJl11BTqXaymJX2fDQ/7PpBKSwDtItRj9PDHwSsVeiNylfmUbFRrw5NRU jUq1yXeWWu/RPMPAteuKSx tj N rpyT2kmJR2qe4NNbabPaKWipJ/56fEbkQcbHqwJr83hoROS9su0xARPybkchgwyGgAALCg9J/ncDl6Q4hNn9Vdn1QsEdxSdDVf5lmqyy9FX qKfaruWy5t1WZ5QD3cgxOUTo5s8F7lkHb3GhgdFUZZlqc/l4AUpFj37pO67ZhekHgdx9EgVKZxNJwZcJZf3NeTJ2eDXWM9 idwOaeLgB K1bt2yHO3rKV5Urt/nCcFTdE3nbVnMP6Ub2WBTBytktKIoq/Jv/pE/L/fLMZAa3kVqNJOVtPQNsbjYwGAABojPTvRH6H u/y2dT0AL9Db3VWbcfiUxcq3lJ5eeJy1D QyKi35PBFl9W1yZIPrn2QYg7 dHwTp7OlJD6/jl7jgIjlObHHoW7M0BZT9XYdpOOCy1HlxI9Po76uooJtyJOzwa xjgNJsrLoLjyv6ze9el1mtaNF1lLR4y5CiOM5/UsVl6O wul76gq09pTWOlFkYyyS0SrS1JuBx 2JF7nC/7W6OPFVlmrmYXbIaAAAaD fJwRP bJV9XYsjeDPE4Kn8JbsnOh uuSf71MSz0sp9d2cQiKTSUmHquxDWJajvxD4HdoDcPVJVS/jy72n63i0uLZLrmy7LvHOKls1dMKd6Hde2SaKit9a56lQlPKnq/aTU/og5fcuCryDuPuiRavhJV9jSa3quS2LT7uEeDp/lvN6O0Cy6blh3qH/rVcX5rWXhn7xfxr1ufJ7gTIJwZnfyFGS/luFjDb3IKMBAMBS8o1FCCEOl0/6t grTv3NrJXtWPaW6xK/o2Q5MyXxapYtR307hERG7cB1FlCLNnjoXsanbT45HV QpZ4dpTsuis DWyej8/cxyfX6v00UtWnZw4n6HPqdmkkIzpIqbcCTU3gSpD6Xgx I//G69JyjZAG4 GusldHZOdHtzq0Q68Z6GXVBunIDxm1ZfJK4BhLL/1vq2VGlxdMJwV14DovPvENGV4OM1tVq3yYAAIANWI76HPr/uJ9JCM7SNi16S245s7CAqu4EcLiEeDo7J 4bSGTUqKqxY1jbWEIIIW6fNJd7GMtyVPS5HNoW6kuJhetSj6N4 FfnTqK8rF3nphOCq 5y1T6O LuIaSFRuC84kBOchKZWWRV/5yXEpiS/9 A14cpRsWo6KPrf2tYv/klB/WigsABd/jeqib/VtxymJ1zZpqCdbO2of61GyNyNP3T3SI84tZ2XR7RQSa3Nizxul T1cmJR0qPB/FB4Srx6Y06HgWZLS5BxkNAABW92nU11VxedKWaXeHzt2gpEm0X ksnBFfdh8GpmzeqOSSlPlePdWsVJef6VV NTkl8yR r53rH6xLvqcjo0ufHKSRuq8f 1fcwN3oy97qQ0eYegowGAACry6Ym lybiF23T7x4USjsmCAunyiNaDuec0c35NZlN8HtE6NzcvySdNZ X7eEVMtq9gdslZheifW79D0gOSam1tCxV/YwbePDVn5wCh8snRufmEpcu5palq32NlRtLyr Lhe06Dl6YqOMIlJJ9ICUfKjHscxU7Is9blqfcFFGY0D7/QQZLSeVvs2AQAAtJl0YmBgnSMsrCGTGPI39HaJtW6 s7YgPefY6J29M4kBf8NOCrdaRrehmk9Lq32bAAAAtuzzhPB0c2/k0Vqy6cSAe737fltO9o9Sz451TtDTDtJuyt1z6mWpjAZd DYBAIBVrC1Ih90 cWLibI DFM4Vzs6Jbo9vuOYtPcwnuyD1uH3ixGWxZwchRP/SQ vRtrVU3z tnqLduPsRbg4y2vrwbQIAAIvIXxHoPh2NB33uw9LCWtE1Zw27r UbLUA99I4Q8eTb63rDvyTouyzO/9JzkcxPicPVN6P9clP6dyO ofnOW7YOMtj58mwAAwCqyafldgXeX53I2lZAE3rPBbbKmkJYnB N5p6NaFJkr/TvQdF6X3tM05aTmqXfa4gx YTmUVRcmm54K vrOXEuqvUglJuy5S777o2w0ZbX34NgEAAEDLyqYSlwqHhDhcPj FavgV8WY5eKpwr4uAFKdEKG3iQ0daHbxMAAABAwyGjrQ/fJgAAAICGQ0ZbH75NAAAAAA2HjLY fJsAAAAAGg4ZbX34NgEAAAA03FYzGkyheS8gAAAAgPa0pYwGAA AAAGhPyGgAAAAAgA1DRgMAAAAAbBgyGgAAAABgw5DRAAAAAAAb howGAAAAANgwZDQAAAAAwIYhowEAAAAANgwZDQAAAACwYchoAA AAAIANQ0YDAAAAAGyYTkYDAAAAAECdkNEAAAAAABuGjAYAAAAA 2LD/H8geyXPvgop5AAAAAElFTkSuQmCCAA==

Hisham Saleh
01-23-2019, 07:38 AM
شرح الدورة المستندية المحاسبية – الجزء الأول:

تتضمن الدورة المستندية المحاسبية خمسة أنواع من الفواتير والسندات يترتب عليها جميع القيود المحاسبية، ويتم تحديد الجانب المدين والجانب الدائن لكل مستند حسب نوعه، وتبدأ الدورة المستندية بفاتورة الشراء كالتالي:

أولا) فاتورة الشراء:

تنقسم الى ثلاث انواع:
1- فاتورة شراء بضاعة جاهزة للبيع (المخزون).
2- فاتورة شراء المستلزمات التشغيلية ( سلعية وخدمية).
3- فاتورة شراء الأصول الثابتة.

الجانب المدين لفاتورة الشراء:
1) الجانب المدين لفاتورة شراء بضاعة هو حساب مخزون البضاعة (مجموعة رئيسية متفرعة من المجموعة الأساسية الأصول).
2) الجانب المدين لفاتورة شراء المستلزمات التشغيلية هو حساب المصروفات التشغيلية (مجموعة رئيسية متفرعة من المجموعة الأساسية المصروفات).
3) الجانب المدين لفاتورة شراء الأصول الثابتة هو حساب الأصول الثابتة (مجموعة رئيسية متفرعة من المجموعة الأساسية الأصول).

الجانب الدائن لفاتورة الشراء:
الجانب الدائن لجميع أنواع فواتير الشراء هو واحد أو أكثر من الحسابات التالية:
1) النقدية (مجموعة رئيسية متفرعة من المجموعة الأساسية الأصول).
2) الدائنون (مجموعة رئيسية متفرعة من المجموعة الأساسية الخصوم).
3) المخصصات (مجموعة رئيسية متفرعة من المجموعة الأساسية الخصوم).
4) الشركاء (مجموعة رئيسية متفرعة من المجموعة الأساسية الخصوم).