<p dir="RTL" ><span ><span ><img src="https://argaamplus.s3.amazonaws.com/5d6011dd-5a9a-47d6-815c-456389cca45b.png" ></span></span><br>
<span class="ckeCaption" >إحدى الناقلات التجارية</span></p>

<hr>
<p dir="RTL" ><span ><span >بلغت واردات السعودية السلعية خلال شهر سبتمبر 2023 نحو 60.1 مليار ريال، بانخفاض قدره 2% مقارنة بشهر سبتمبر من عام 2022، مسجلة أول تراجع سنوي منذ فبراير 2021.</span></span></p>

<p dir="RTL" ></p>

<p dir="RTL" ><span ><span ><span ><span >وانخفضت الواردات السعودية من السلع مقارنة بشهر أغسطس 2023 بنحو 9.6 مليار ريال وبنسبة 14%، وذلك حسب بيانات هيئة الإحصاء.</span></span></span></span></p>

<p dir="RTL" ></p>

<p dir="RTL" ><span ><span ><span ><strong><span >وفيما يلي جدول يوضح تطور واردات السعودية السلعية:</span></strong></span></span></span></p>

<p dir="RTL" ></p>

<table align="center" border="0" cellpadding="0" cellspacing="0" dir="rtl" width="100%">
<tbody>
<tr >
<td colspan="5" >
<p dir="RTL" ><span ><span ><span ><strong><span >واردات السعودية السلعية(مليار ريال) *</span></strong></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >الشهر</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span >2022</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span dir="LTR"><span >2023</span></span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span >القيمة</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span >التغير</span></strong></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >يناير</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >52.35</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >67.69</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >15.34</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >29</span></span><span dir="LTR"><span >%</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >فبراير</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >49.27</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >57.31</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >8.05</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >16</span><span dir="LTR"><span >%</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >مارس</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >56.29</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >69.04</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >12.75</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >23 %</span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >أبريل</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >57.32</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >58.31</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >0.99</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >2 %</span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >مايو</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >55.96</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >69.54</span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >13.58</span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >24 %</span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >يونيو</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >62.07</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >64.77</span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >2.70</span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >4 %</span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >يوليو</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >57.56</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >70.20</span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >12.64</span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >22 %</span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >أغسطس</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >63.80</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >69.66</span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >5.86</span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >9 %</span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >سبتمبر</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >61.46</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >60.09</span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >(1.37)</span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span >(2 %)</span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >أكتوبر</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >66.28</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >--</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >--</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >--</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >نوفمبر</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >64.75</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >--</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >--</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >--</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >ديسمبر</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >64.94</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >--</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >--</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >--</span></span></span></span></span></p>
</td>
</tr>
</tbody>
</table>

<p class="ckeCaption"><span >*البيانات يتم تحديثها بشكل دوري.</span></p>

<p ></p>

<p dir="RTL" ><span ><strong><span ><span >إجمالي الواردات السلعية (مليار ريال)</span></span></strong></span></p>

<p align="center" dir="RTL" ><span ><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABU8AAAJgCAYAAAC 6BpIOAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJc EhZcwAAEnQAABJ0Ad5mH3gAAHrkSURBVHhe7d0HvB1VnTjwk94 DBEJTVkURjCIoRCkqsLoxiEpvIpYVFBcXxegqRrKubAALAsGC/a8UBaVkV4qsgCgQIUDAIBJRJK5LAqGlkf7y5ze5N7k8zqv3lVu +348/b+7MnDvv8WbOPfObM+cMWP+cBAAAAADA8wwsvQIAAAAAUEHyFA AAAAAgQ/IUAAAAACBD8hQAAAAAIKPd5OkjjzySpkyZknbZZZc0YMCA9NKX vjSdcMIJadasWamlpaW01fPF8ptvvjkdeuihaezYsUUceOCB6c orr0xr164tbQUAAAAAUNuys+3Hoquuuip98pOfTPPnzy8t3WTM mDHp9NNPT6eeemoaPHhwaWlK69atS+eff376whe+kJYuXVpaus nZZ59dJGMrywAAAAAA1KJsz9PocfrlL3+5+PdFF12Uli1bViRU 4zXeb7/99uncc89N99xzT7FN2Zw5c9KMGTPShAkT0u23357WrFlTJFRnz 56dJk2alKZPn55uueWW0tYAAAAAALUrmzydO3duuuOOO9Ipp5y SjjvuuDRq1Khieby+973vLXqcLliwID300EPF8hDJ1euvvz499 dRT6bTTTkt777130cN04MCBac8990xTp05No0ePTtdcc01avXp 1qRQAAAAAQG3KJk9XrFhRvEayNMY6bS2SoK0tWbIk3XfffWmPP fZIEydOLC3dZLfddkv77rtvkZhdvHhxaSkAAAAAQG3KJk93333 3Itn5wx/+sHjkvnJY1Jj06YEHHijWR4/SsmeeeSY9+uijaYcddijGRG1t2LBhaeutt06LFi0qeqcCAAAAA NSybPL0la98ZTG5UyRE3/rWt6YPfOAD6dZbby0mgfrRj35UJFU/+9nPFtuVrVy5Mi1fvjyNHDkyOyHU8OHD07bbblv0Tn3iiSdKSw EAAAAAalM2eRqP6r/97W8vZs4fP358+vGPf5ze/OY3p7Fjx6YzzzwzXXbZZemYY47JPtIPAAAAANAIBqyvfCa/JB7Nv/DCC4uZ82NW/eh9+vvf/z5deumlxWz74T//8z/TiSeeuLGX6bx589LRRx+d9tprr6LMiBEjiuWVzjjjjDRt2rSiF 2uMf9pZLS0txc/UGTHD/5AhQ0rvAAAAAIBaV554vtZkk6c33HBDOuKII9I3v/nNYrb9yh6mMWZpzJz/05/+NH3nO98peqCG3k6expAAHYlZ/GPbSJ4OGjSotBQAAAAAqGUxcX1dJE9j7NIpU6ak2267rXg8f+e ddy6t2aScKI1Z9ePR/hjndP78+ek973lPmjBhwsZllTrzuW2JhGgmx/sCkTx99tlniwmrJE8BAAAAoD5E4rQWhwh9QfJ0xYoV6dRTT02/+93v2kxyRu/TSJRGgvKSSy5JW265ZVq8eHE64YQTismgYtn2229f2nqDp59+O h1//PFp1apVxeP/MZZqT4vkaXx+JG4lTwEAAACAarygL2wkHSP5GLPiz549O9vj84 9//GP6wx/+kF7+8pcXXWpDTCa12267pbvvvjvdf//9xbJKc+fOTffcc0/adddd02abbVZaCgAAAABQm16QPB06dGjab7/9ikffP//5z6cf/vCHRa/RED07r7/++nTKKaekZcuWpUmTJqXhw4cX66Jb7eTJk9O4ceOKcU1nzZpVT PIUj9zfddddafr06UWZgw46qNgHAAAAAEAta3O2/Zj0KSZ4Wrp0aWnpJpFYPfPMM9NJJ520cbb90FG5s88+uxj3tLJ MT/LYPgAAAADQU7LJ0xA9Ru+44470/e9/P/3qV78qJoR6yUtekt797nenD33oQ+m1r31tdhDXKHfLLbekGTNm pBtvvLFYFjPrn3jiiUXZ3kqcBslTAAAAAKCntJk8rUeSpwAAAA BAT3nBmKcAAAAAAEieAgAAAABkSZ4CAAAAAGRIngIAAAAAZEie AgAAAABkSJ4CAAAAAGRIngIAAAAAZEieAgAAAABkSJ4CAAAAAG RIngIAAAAAZEieAgAAAABkSJ4CAAAAAGRIngIAAAAAZEieAgAA AABkSJ4CAAAAAGRIngIAAAAAZEieAgAAAABkSJ4CAAAAAGRIng IAAAAAZEieAgAAAABkSJ4CAAAAAGRIngIAAAAAZEieAgAAAABk SJ4CAAAAAGRIngIAAAAAZEieAgAAAABkSJ4CAAAAAGRIngIAAA AAZEieAgAAAABkSJ4CAAAAAGRIngIAAAAAZEieAgAAAABkSJ4C AAAAAGRIngIAAAAAZEieAgAAAABkSJ4CAAAAAGRIngIAAAAAZE ieAgAAAABkSJ4CAAAAAGRIngIAAAAAZEieAgAAAABkSJ4CAAAA AGRIngIAAAAAZEieAgAAAABkSJ4CAAAAAGRIngIAAAAAZEieAg AAAABkSJ4CAAAAAGRIngIAAAAAZEieAgAAAABkSJ4CAAAAAGRk k6dnnHFGGjBgQIdx0kknpRUrVpRKbdDS0pJuvvnmdOihh6axY8 cWceCBB6Yrr7wyrV27trQVAAAAAEBt69Gep+vWrUvnnXdeOvjg g9PVV1+dli5dWsT111+fDj/88HTOOedIoAIAAAAAdSGbPD399NPT+vXr24zHHnssvfvd7y5tv cmcOXPSjBkz0oQJE9Ltt9+e1qxZUyRUZ8+enSZNmpSmT5+ebrn lltLWAAAAAAC1q8s9TyN5OnPmzPRf//VfaY899kjDhw/fuDx6mD711FPptNNOS3vvvXcaPHhwGjhwYNpzzz3T1KlT0+jRo 9M111yTVq9eXZQBAAAAAKhVXU6ePvroo+knP/lJOuCAA9I73vGOYuzTsGTJknTfffcVCdWJEycWyyrttttuad99 901z585NixcvLi0FAAAAAKhNXUqeRu/Sn//858WEUMcdd1x60YteVFqT0jPPPFMkVnfYYYc0ZsyY0tJNhg0bl rbeeuu0aNGioncqAAAAAEAtG7A+MqKdNG/evHT00Uenl7zkJem73/1ukQwtK6/ba6+90rnnnptGjBhRWrNJzOI/bdq0dOuttxa9UHtaDAewatWqNHLkyDRo0KDSUgAAAACoHS3LHk vLL3t/6R21YvhbpqQhO/1T6d0GnU6exsRPX/7yl9PnPve5dPHFFxc9TytJngIAAABAx1qenp8Wn/Pq0jtqxajDLkxDX//e0rsNOp08/f3vf5+OOeaY9JrXvCZ9+9vfTltssUVpzQa9mTxtaWkphgzoSCR Pn3322WLYAMlTAAAAAGpRJE+Xnffa0jtqxexxx6RHRr8hHXvss RuHJe1U8jR6c8Zs+d/5znfSRRddlA4++ODSmk16O3m6fPny0ru2RfI0IvYteQoAAABAT Vr8v2nthW8ovUlp/eY7pjRqfOldL1rf8tz/1pbedGDgkI0TxfeVvt5fWrsqpYVzSm+qSJ7edddd6Ygjjkj77b dfuuCCC9LYsWNLazaZP39+es973pMmTJiQzj///OLR+UorV65MU6ZMSbfddlu67LLL0s4771xa07FInq5d2/EfNhKnkWSNn0/yFAAAAIBatP6Zv6VnZ+xeepdSy6SvpJZXHVF614vWrEjrVy0pv WnfgJFbpTSwb/NrfZ48XfL3NOgHbyq96WbydMWKFenUU09Nl156aTHT/qRJk0prnm/x4sXphBNOSE888US65JJL0vbbb19as8HTTz+djj/++KIXa3zW+PE9n0035ikAAAAAta71mKeRPF0/4cg0fPjwNHDgwNLSnrd+9bLUsvyJ0rv2DdrsxcVry4pniteODB gyPA0YOrr0rj6sX/y/afU39ii9yydPO/xr3H777UWy8/DDD2/3Ufvo7bnbbrulu+++O91///2lpZvMnTs33XPPPWnXXXdNm222WWkpAAAAABBiKMroFNhrMXx4 Gjl0UOcifpbnYkRa0akoPju3zxqO3LCjrbWbPF2yZEn68Y9/nEaPHp0++MEPplGjRpXWvFB0q508eXIaN25cMa7prFmzikft45 H7eOx/+vTpadmyZemggw5KQ4cOLZUCAAAAgOa2ftWy1LJsUVr/9Py07smHs5HWrSltTV9qN3l68803p6uuuiq9+93vThMnTiwtbd vuu++eTj755PTAAw+kffbZJw0ZMqR4fD7K3nDDDcWkUzFuKgAA AABQsr7luVj33MualNoK+kWbydMYozTGLo1ep//8z//cqW6sgwcPLiaFmjlzZjrkkEOKsQEiokfqFVdcUayLbQAAAAAAa l2nZtuvFyaMAgAAAKC71sy7rvSvjg3e/nVpwJhtS++6pvWEUevecnpq2emgtMWoIWlgGxPODxq343P/N6T0rnvWr1ySWpYuKL1rX7G/56x76uHitSMDx2yXBgwfW3pXH1qe+Vta/NUJpXfdnDAKAAAAAJrFihvP7FTQHCRPAQAAAAAyJE8BAAAAoEn FiJ5/nf/39O9nn58mvvWwNHjrXdIWO+6Zfn7FlaUtNolt5/z+gXTcR6akrXfeq9ju8Pd/LP1m1uxiXXfF3EuHHXZYOuOMM0pLaofkKQAAAAA0obVr16Vv/eDS9PoDDknTv/atNGfuA8XypcuWFfMKtXbNDb9Obz/yn9NlV12Tnnr6mWK7mdf9Kh183EfTTy7/eZcTqLH9k08+mb7+9a+nX/3qV6WltUXyFAAAAACaTCQufzbz2jR1+rlp551elv7rkgvTkkfm pLWPP1jEce85trTlBgseW5S+/r2L0uhRI9PVF30rrXz0D0XEv7fYfGz6fz++JC1cuLC0dcfmzZu XXve616WtttoqTZs2LS1durS0prZIngIAAABAk/nb3x9N3/rhT9Keu78m/ewHM9I7/mn/NHLkiNLaF/rr/P9Nd9z9+/S+ow9JB75tvzR48KAiDpq0fzrlw+9Lv7rp5jR79uzS1o1D8hQA AAAAmsxtd9ydbr/znvQvHzou7fCi7UpL23b/gw8Vj+m/6Y17pEGDNqUUBwwYkPbY/TXFv//whz8Ur52x8847p3vvvbfoAfvggw+m3XbbrbSmtkieAgAAAEATW beuJT0w7y/pVa98+XP/XpemnH5W2vH1/1hMFhWTRl3w3R+n5cuXl7be4PFFTxavud6p47ccl17z6glp0aJ FafXq1aWljUHyFAAAAICatuLGM18QK286a2OU38crHVu9Zk0x4 dMf//SXdMwJn0jnf/tHxWP8ISaNOnXqmem449+XHnvs8WJZRwYMSGnQoEHp2WefLZKx jUTyFAAAAICat2bedc+L1Q9euzHK79ctuLe0NZ2x3Tbj04++8e W06E93FJNErV74QPrD7dcW45/O/K//Tr+45prSls1L8hQAAAAAmtDWW22Z9nzda9IWm29WvB84cGDa+R U7ptM/9S9pu+22S/fMmZNWrur4MfxVq9cUvU5HjhxZ9EBtJJKnAAAAANBEYpKnSHK2 rG9J69eXFlYYO2Z02nr8+OIR/JjQKWw9fsvi9dlnVxSvlRYvWZoe+vNf0vjnygwdOrS0tDFIngI AAABAExk+bGja9dU7p7kP/Cndc9/9paWb/P3Rx9LDf304bbvttsW24eUv/Yc0ZvTodOsddxcTTpVFcvXuezd8xqtf/eritZFIngIAAABAk9n3Da8vZtuf/rUL07X/8+u0du261NLSUiRCv/r176fRo8ekfzxg/6KXapiw8yvSG/d4bfrxZVen6351S7F9xDU3/DrN+M6P035vflPafffdi23LbrvttqL85MmT05NPbpitv95IngI AAABAk4lk6OdOPSk9uvDx9O7jTkrDt391GrrthPTGSUek3911b zr146ekffbeu7T1hsmlPnjcEenpZ5akQ47/aLF9RPw7lp34oQ+kHXbYobR1x+bNm1ckWyO5ussuu6T77rsvTZ s2rXgfEYnXWiB5CgAAAABNJhKUxxz2znTd5d9LRx96UBq3xebF Y/kHH/i2dOWPv56mfPLUNHjw4NLWGxx18IFp5iXfKraJbSu3P+bIw4vP bDQD1pdHfW0Aq1evTqtWrWrImb0AAAAAmtWKG89Ma+ZdV3rXto Fjt0uj33t56V3XxT5iX50x5vifpQFjti2965qWp+enxedsGh90 3VtOTy07HZS2GDUkDWwj/zho3I7P/d+Q0rvuWb9ySWpZuqD0rn3F/p6z7qmHi9eODByzXRowfGzpXX1oeeZvafFXJ5TepTR73DHpkdF vSMcee2waM2ZMsUzPUwAAAACADMlTAAAAgCa1funCTgc0I8lTA AAAgCa1avYP09KLjuwwls88pVQCmovkKQAAAABAhuQpAAAAQJN qoHnEoVdIngIAAAAAZEieAgAAADSpAQMGlP4F5EieAgAAAABkS J4CAAAANCljnjaOVatWpeuvvz4dddRRacsttyx6Fcfr5MmT0xl nnJHmzp2b1q5dW9q6/7W0tKRZs2alj3/84+n1r3/9xp83fv6bb765WN/a448/nr7zne+kd73rXRt/xyh79tlnp0WLFpW26lmSpwAAAABQx5YvX54+85nPpAMPPDD97G c/S0899VSxPF5/+ctfpmnTpqXjjz8+/eXhvxbLa8FDDz2UPvrRj6YZM2akOXPmFMvi542f/+CDD04//elPX5Dc//a3v50+8pGPpF/84hcbf8coe9ppp6UTTzwxPfbYY8WyniR5CgAAANCk+nrM0zXzr ut00HmRaDz//PPTsccem+bNm5fWrFlTJB7XrVtX9NaMBOqb3/zmNHBg7aQC42c56KCD0h133JGeffbZ4uddtmxZ0bM0fOMb30h/+9vfin+XjRs3Ll1yySXF7xS/W/RO/ctf/lL83jNnzkxXX311acueI3kKAAAAQJ9Y+/c5acWNZ3YYq2b/sFSCjqxYsSLNnj077brrrkUP01e+8pVp8ODBxbpIUI4fPz5Nmj QpXXDBBWmnV7y8WF62avXqdOUvbkhvP+KDafDWu6Std94rnTRl Wpr/v/9X2mKDJ596Jr3j6BPSv3zq39Pf/v5o+tKM76RX7/OOtMWOe6ZjTvhEuvf+P5a27LyddtopTZ8+Pb3hDW9II0aMKJaN GjUqHXfccenoo48uetOuXLmyWF528sknp/e85z3F7xS/WyT/d9xxx3TSSScV6yOp2tMkTwEAAADoklzCc+VNZ22M8vt4peetX7 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 M6ekl73kxcVj8yOGD0tHH/qOdPA73ppm3TF74yRO3RXJ0Isvvjg9/PDD6QMf+EDxGH9O/FyTJ09OQ4YMScccc0w68sgj049+9KO0zTbblLboOZKnAAAAAFD HIon5uVNPSr+/9Rfpom99Jb3/mMPSTju+JF1zw6/TqZ/8VNpll13S5z//+WIc0fD0M0vSX/76t/SVC76Xhm//6mK808qIx/CffurptHTpsmL79owZPTq94mUvSYueeGJj8jSStbvvvnvxCH5l nHHGGcX6nEicnnvuuelrX/taOvPMM9Nb3vKW0pr2zZ8/P33/+99PV1xxxQt6yvYEyVMAAAAAqHORnNxh+23TsYe/K31/xpnptusuS8/+39x0y803FhNGRULyl/9zY7HtipUrizFPa0UkPSNpGsnTiOhNGr9PW7bccst0/fXXF71pI2F72GGHpQ996EPpwgsvfF4P254geQoAAABQY1qPJ9p eQFuGDhmS3vLmN6dPfepTxfs//HHDJFCDBw1OgwYPKh7Bj7FOc3HvPXelnXd+ZbF9eyJZ2dLS8tx nDto40dPOO++c7r333mJdZZx++unF+kpLly5Nn/70p9M3v/nN9PWvfz0de+yxxZAAnbXFFlukD3/4w2n//fdPt956a1qyZElpTc+QPAUAAACoMatm//B5M9m3FWv/PqdUAto2bNiw4nXI4MHF61ZbbpFe9g8vTnffd396/Innj2vaVY8ufDz9dtZd6WUve2kaP358aWnnxCP373//+9Odd95ZPHYfPUjb63Halui5umJF7/SklTwFAAAAgDr15FPPpA+d8rn048uuSo/87e9p+fJnS2vi8fxV6Te//W2aPn16eslLXpL+6a0HFMs3Gzsmvf0f35z++/qb0qlTz0xzH/hTWrt2w0z5Uea2O+5JU0+flp5++uliWdlji55MDz38SLFt9CT9 vwWPpTO++o10862/S2//p7emzTbbMPFUZ8yePbuYIT9cdtllaY899ij+3ZaHHnoo/eu//mv69a9/nRYvXlwsi3FSY2b+qVOnpjvuuCPtvffeaezYscW6niJ5CgAAAA B1bMFjj6d//tfT0iv2fFva7GWv3zjx05h/2C3td8Bb06xZs4pH93d77a6lEikdc+hB6V8//L502VXXpNft/+6NE0cVZd71nnT33feklvXPHz905nW/Sq/f/+Bi2yHbvCq9ZLf90vcuujx99IPvSccceXhpq86JpOd9992Xrrr qqvTSl75046RSlXHSSSdt7FEaQwP89re/TQcccEDafPPNi/Ux234MEfCTn/ykSMQed9xxxfKeJHkKAAAAAHVqy3Gbp//3jS8Vs+wffcg70s6v2LG0JhX//uSpnyh6ZZ588slpcOmx/TBy5Ih09rRPpWt++t10xLsnp3FbbF4sf92uE9LUT340ffXLX0p bbL5hWdnBB74tnXX6p9IbXv/a4n28fuMrX0hf/o/PpFGjRhXLestOO+2ULr744vT5z38+7bXXXsWyMWPGpMmTJ6fvf e976ZJLLknbbLNNsbwnDVgffWwbxOrVq4sxDkaOHLlxgFoAAAC AerPs4qNSy5IFpXdtG7LzgWnEWz9Xetd1K286K61+8NrSu7YNH LtdGv3ey0vvUjHeamcmq+rvcl0V+4h9dcaY43+WBozZtvSua1q enp8Wn/Pq0ruU1r3l9NSy00Fpi1FD0sA2Ok4OGrfjc/83pPj3+pVLUsvSjo+PUFW556x76uFiaIDjP/qp9NIdXpTO+c/PpRHDN4yhWmngmO3SgOE9+8h8b2t55m9p8VcnlN6lNHvcMemR0 W8oJq2KxGzQ8xQAAAAAIEPyFAAAAAAgQ/IUAAAAACBD8hQAAACgTlU7s3gDTYVDL4pJqa697Hvpm1/9j+x4p41M8hQAAACgTlWb/Kw2+QqNTvIUAAAAoEnpeQrtkzwFAAAA6MD6pQs7HfVEz1Non+Q pAAAAQAeWzzwlLb3oyA5j5Z0/KJWoD3qeQvsGPHeSNMxZsnr16rRq1ao0cuTINGjQoNJSAAAAgO osu/io1LJkQeld24bsfGAa8dbPld51X2f3N3SXd6Th/3ha6V3XrbzprLT6wWtL79o2cOx2afR7Ly+9S2nFjWemNfOuK71 rW3+X66rYR+yrM8Yc/7M0YMy2pXdd0/L0/LT4nFeX3j33/rXvSy0vfmMaM3xwaqsz8MAx26cBgwYX/16/enlqefbJ4t8dqaZcaFn6aPGaM2D4ZmnQVjsV/x44Zrvn3o8t/t1da/7629SXfaFbli5Myy//YOldSrPHHZMeGf2GdOyxx6YxY8YUyyRPAQAAADpQq8nTavdXL0 nQRk+e1q8BaeSBZ6bBr5xUZfJ0fVp+xUfS6jmXlt73j1zy1GP7 AAAAAE3KmKdUZ3169rrT0ooHOk5st+fZqz7W74nTtnSYPG1paU mzZs1KJ554Ytpll12Kk2rs2LHpa1/7WmmL54vtb7755nTooYcW20UceOCB6corr0xr164tbQUAAADQe OotGWnMU3rCmv/5fHr23p+X3nXNs1ednFbd/aPSu9rT7mP7ixYtSp/97GfTD37wwsGOv/jFL6bTTz+99G6DdevWpfPPPz994QtfSEuXLi0t3eTss89OU6ZM SYMHbxhnoad5bB8AAADoDfXy2H6U64xB2+1elPPY/vP11WP769euTOv+d3Z65M5r0t03/KS0tH1DXvWuNHDYqOLf6558OK393zuLf3ekmnJhzR//u3htbYtha9PEcYtL7zYYesiFadSe7y2969izV38srbrr/5XePbevQSPT7HFHpzUDR5aW9K0lQ7ZOKweO6dxj+0uWLEmnnXZ akTh93/vel+67774iMRm51ojWidMwZ86cNGPGjDRhwoR0++23pzVr1hQJ 1dmzZ6dJkyal6dOnp1tuuaW0NQAAAAA9LZKuHUWZx/b7x4DBw9Pgl705rdrsFemxlUM7FYuGvjQ9PuzlG2LgdtltclFN uYjcuogHF49Mty7aPFV2y1x99UfTs/d0JhkcY5x++HmJ09UDR6abtz45/d+IXTf9vH0ckThtLdvzNBZ973vfSx/+8IeLXqT/9m//lkaMGFFamxdlIjn65S9/OV100UXp4IMPLq3Z4De/+U065phjiogeqEOHDi2t6Tl6ngIAAAC9oZ56nnalnNn2n6+vep 6WdXd/fVUuLL3oyOK1LY899ljacu2jaVMefkAadth30sjXH1t639oLJ4 eKxOmvtzk5LR6yXfF+5513Tvvtt1/x7/6W7Xm6cOHCdPnll6cDDjggnXDCCR0mTkP0VI3eqXvssUeaOHFi aekmu+22W9p3333T3Llz0+LFz+/SCwAAAEDfy/Spgy7ZZptt0pODt0/rUzl7uj6tuvLDbfRAra/EacgmTx9++OF0xx13pHe+851p++23Ly1t3zPPPJMeffTRtMMOO 2wcE6DSsGHD0tZbb12Mo/rUU0+VlgIAAAAA9SwSqIt3fm8HCdT6S5yGbPL0L3/5SzHh08te9rL0k5/8JL3tbW8rxsCI2H///dOPfvSjtHz58tLWG6xcubJYFo/M5yaEGj58eNp2222L3qlPPPFEaSkAAAAA/cWYp/SUF7/h3Wn5W6a3kUCtz8RpyCZP58+fX7wedthh6bjjjks33nhj8T7Eh E8f+MAH0gc/+MFiTAMAAAAAgB0mnZKWv+mLpXchEqgnpsXffMsLEqe3bPMvNZ 84DW3Oth9OPfXUYozS8iz7MXv+nXfeWcyc/7Of/SxdcsklxsYAAAAAqFPyOvS0HSaf2iqBmlLLo3NK/yr1ON36X9IzQzYMFVrLidOQnW3/jDPOSNOmTUu33nprMclTa7///e+LWfN33HHHYmb9LbbYIs2bNy8dffTRaa+99krnnntudpKpjj6 3LS0tLS8YJiAnZtuPiH2bbR8AAADoKeuueH9av3Rh6V3bBr5iU hr4pimld93X3f11tVzLreeklj/fUFratpitfdDhPyq9S3VTrqtiH7Gvzhh8xI9TGr1N6V33dHd/fVbuOWt//r7itSNxPMVxVVj2WHrsN99PW97/9cjQb1j2nFUDhqf/GfXe9PSg8cX7V75ix7TvXhOLn2/UqFFp4MB2+3n2i279RC960YvSP/zDP6S1a9cWic0QY5rGL7lu3brsXYsYEzVm8Y9Z97faaqvS0s6L ZGhnAhpR7lgXQgghhBBCCNF3UZ4LpqOI5E+ufFcj99mVAbVuy8 dvSY+v37r0LqVV6wamX/5tVHryvv9OLff8IO3495+kN/79gtSy8L7SFrUp2/P0sssuK3qWXnzxxcWYp609+eSTG5fHo/tbbrllWrx4cTrhhBOKyaBiWetZ+p9++ul0/PHHF0MAXHrppWn8+A0Z5p4UvU7j82PSqqhoAAAAAHrCsouPSi1 LFpTetW3IzgemEW/9XOld93V3f10tt+LGM9OaedeVlrZt4Njt0uj3Xl56l+qmXFfFP mJfnTHm+J8VPV2r0d399VW5sPSiI4vXjsTxFMdViN7P5XILFyx Im617PN2wYMv09OoNk8y/cpuRaZ9XjC3+XVmuFmV7nr7mNa9Jr3rVq9LMmTOLpGdrMRt/PLr/0pe+tEhUhrFjxxa9Su++++50//33F8sqxdip99xzT9p1113TZpttVloKAAAAADSqbbfbLj065OUb E6ev2HrExsRpPcgmT2Og1kMPPbSYFOoTn/hEevjhh4tH8eMx/d/97nfpk5/8ZFq2bFkxG395bNPoMj558uQ0bty4YlzTWbNmbXys/6677krTp08vyhx00EFp6NChRRkAAAAAoLG9fJvRad9XbJZ2HD8 ivWmn+upUmU2eDh48OJ1yyinpyCOPTD/+8Y/Ty1/+8mLMjiFDhqS999676HV65plnpn/8x38sldhg9913TyeffHJ64IEH0j777FNsH4/PT5w4Md1www1p6tSpNT17FgAAAADQ83baZkR6yyvr72n0NieM2 mabbdIPf/jD9M1vfnNjwvMlL3lJ+tCHPpR++9vfFknSSLJWivdTpkwpHvc/5JBD0pgxY4qIHqlXXHFFsa51GQAAAACAWtTubPsxe/5HP/rR9Otf/7p4bP+RRx5J3/ve94qxTdua2S16qB5wwAHpqquuSkuWLCniuuuuKx7xlzgFAAAA 6Dlm3ofe1W7yFAAAAIDaFZ3dgN4jeQoAAAAAkCF5CgAAAACQIX kKAAAAAJAheQoAAAAAkCF5CgAAAABVWDPvurTs4qM6FeuXLiyV oh5IngIAAADUqQEDBpT+RX9rWbKgU0F9kTwFAAAAqFPr168v/QvoDZKnAAAAAD2kr3uC6nkKvUvyFAAAAKCH9HVPUD1PoXdJngI AAAD0khU3npmNlTedtTHKy4DaI3kKAAAA0EvWLbi3mIm9dax+8 NqNEe+B2iR5CgAAANSl9UsXpmUXH9WpkKBsTtGjN3c85AJyJE8 BAACAutWyZEGnolGZMKp98d8ndzy0DmiL5CkAAABAnTJhVPv89 6FakqcAAAAAABmSpwAAAAAAGZKnAAAAAD3EGKS1xd+DakmeAgA AAPQQY2zWFn8PqiV5CgAAAPSr9UsXpmUXH9WpWDPvulIp6Jiep 1RL8hQAAADody1LFnQqqhWJ2s4G9U/PU6oleQoAAAA0jeUzT0lLLzqyw1h55w9KJahnep5SLclTAAAAA BqSnqdUS/IUAAAAgIak5ynVkjwFAAAAoCHpeUq1JE8BAAAAaEh6nlItyVMA AAAAGpKep1RL8hQAAACAhqTnKdWSPAUAAACgIel5SrUkTwEAAA BoSHqeUi3JUwAAAIA6JTnYPj1PqZbkKQBAD1tx45nZWHnTWRuj vAwAoBqSg+2TXKZakqcAAD1s3YJ705p5170gVj947caI9xrzAA C9S3KZakmeAgC0YdnFR3UqutuDtNrGfOw39/PkAgCgGblZTbUkTwEA2tGyZEGH0Z9yP0/rAAAal+Rg+/Q8pVqSpwAA/cTFDgBQLclB6F2SpwAA/cTFDgAA1DbJUwAAAIAe4skSaCySpwAAAAA9xJMl0FgkTwEAAAD qlJ6u0LskTwEA+omLHQB62/qlC9Oyi4/qVKyZd12pFPVET1foXZKnAAD9xMUOAH2hZcmCTgUALyR5CgAAA EBD8qQP1ZI8BQDoJxrzAAC9y5M+VEvyFACgn2jMAwD0LjerqZb kKQAAAPA8MdHUihvPfEGsvOmsja/lMNEUtczNaqoleQoAAAC8QCRFW8fqB6/d+FoOqGV6nlItyVMAAACAHiJZV1v0PKVakqcAAP3ExRUANB7Ju tqivUW1JE8BAPqJiysAgN6lvUW1JE8BAAAAaEh6nlKtNpOnl1x ySXGAtRdnnHFGaetNWlpa0s0335wOPfTQNHbs2CIOPPDAdOWVV 6a1a9eWtgIAINpTAAD0Hj1PqVaP9jxdt25dOu+889LBBx+crr7 66rR06dIirr/++nT44Yenc845RwIVAKBEYx4AoHe5WU21OkyeXnzxxUXDPhenn 356aasN5syZk2bMmJEmTJiQbr/99rRmzZoioTp79uw0adKkNH369HTLLbeUtgYAAACA3hP5K6hGj/U8jYMxepg+9dRT6bTTTkt77713Gjx4cBo4cGDac88909SpU9Po 0aPTNddck1avXl0qBQAAPWPNvOvSsouP6lSsX7qwVAoAaGR6nl KtHkueLlmyJN13331pjz32SBMnTiwt3WS33XZL++67b5o7d25a vHhxaSkAAPScliULOhUArcVNla4EUB/0PKVaPZY8feaZZ9Kjjz6adthhhzRmzJjS0k2GDRuWtt5667Ro0 aKidyoAQLPTEwKgdqx9dE5aetGRnQqgfmhvUa0Ok6fvfe97iwM tYpdddkknnnhi0cO0deZ+5cqVafny5WnkyJHF4/qtDR8+PG277bZF2SeeeKK0FACgeekJAQDQu7S3qFaXep7Omzcv fe9730tvfvOb0ze+8Q0z5wMAAABQs/Q8pVptJk+PO+64IjtfjpaWlqLH6Ne+9rU0ZMiQ9NWvfjXde++9 pa0BAOgqjXmgP6248cwXxMqbztoY5ffxClCv9DylWgOeO4i6dB TF5tH79MMf/nCRSD311FOL5dEr9eijj0577bVXOvfcc9OIESOK5ZXOOOOMNG3 atHTrrbcWk0d1ViRuY1iAjsQs/itWrCj2PWjQoNJSqH+OZ4D+seZnx3dqUpBBO709DXrzp0rvul+ uq9b99qtp3UO/LL1r24Ax26YhR15Uete4Wv58Q1r7m6+U3rVv6FEXpzR6m9I7aE 7qkOdr2Dpk2WNp9eXvLb1p3+C3fDoNfMWkDW+6W667+vDn7Ovv 994qV07nxO808E1Tin+HdVe8v1P7K5drufWc4vjvSNQFgw7/Uendc+dMg5aLbaNMZww+4scb64KGLfectT9/X/HakTieKs/NrpYbNWpUGjiwx6Zn6jFd/omih8SECROKfy9btqx4DTGmafyS69aty2b1I/m5cOHCYtb9rbbaqrS08+JzOxPQiHLHuhBCiN6PaNN0JuJGb0+U 62pE+dzn5iJXvhEj97vnIldWiGaL7tYha275cpGs6kxUlquHyP 3uuciVreXI/Q656Kly3Y3cZ+ei2nK5dbnoqe/33Da56Go5oG90uedp+M1vfpP222+/9MUvfjGdfvrpxbLFixenE044oXi0/5JLLknbb799sbzs6aefTscff3xatWpVuvTSS9P48eNLa3pO9Dy Nz49Jq/TUAwCqtezio1LLkgWld20bsvOBacRbP1d61/lyQ3d5Rxr+j6eV3nVdPEq7Zt51pXdtGzh2uzT6vZeX3vW9zvR+ KYteH90V/y06+3jxmON/VtW+oBF0tw6pl7qnqxq1Dok6eOlFR5betS++y+I7LXS3XHf15c/Z29/v9Vaur+uCWi8X20aZzqisCxq1XKiHOqQ3dbnnaUwS9ctfbni0I 3qRlo0dO7Z4f/fdd6f777+/tHSTuXPnpnvuuSftuuuuabPNNistBQBoXs3Sa2TV7B8WjeeOYv nMU0olAAB6hjHmqVY2efrQQw+lf/3Xf02//vWvix6j5S7h8dh9jFt6wQUXpEMPPTTtvffepRIbDsbJkyenceP GFeOazpo1q0i0Rrfzu+66K02fPr14zP+ggw5KQ4cOLZUCAKDRN UuSGKAvRK+xzkb0/AKgOtnkaSQ8f/vb36YDDjigSIbGYK0R2223XfGofox5OnXq1Bc8er/77runk08+OT3wwANpn332KWblj8fnJ06cmG644YaiTDzuDwBA8 9DjA6BnxSO3nQkAqpdNnr70pS9N5513XjrllFOK2fPLIvH51a9 +Nf33f/932mOPPUpLNxk8eHCaMmVKmjlzZjrkkEPSmDFjiogeqVdccUWx LrYBAKB56HkK0Dyit2sukbvyprM2vpYjesfWMjf/gJBNng4bNiztv//+6fzzzy8evy8/th+P8UcCtL3JnqKHavRYveqqq9KSJUuKuO6669Jhhx0mcQoAUK FZLspcfAI0l9bDB0SsfvDaja/lqHVu/gGhyxNG1YuYXa4zEXe+AAD6Q7NclLn4BACgXjVs8jS0LFnQYQA A0Lv0PKXexWPInQ2gcfj+AkJDJ08BAGpZs1yU6XlKvVs+85S09 KIjO4yVd/6gVAIAaBSSpwDUvdZjarUXegVRS5olqajnDgD1yM0/IEieAtAQKmdzbS+AvufiE4B65OZfY9AOoVqSp3UmlwhYedNZG6 P8Pl4B6B3Rg7WyHq6seyvr5Ag9XcHFJwAA9UvytA61fgR19YPX bozy+3UL7i1tDUBvyNXF5dfKAPT4AKA++f4CguRpndFzAwAaR7 N8r2u/QNcsu/ioTkU88QD0Ht9fQJA8rTPufAFA42iW73XtF5pFTyZaWpYs6DCA 3uX7CwiSp3XGnS8AoN5ov9AsJFqgsfj+AoLkaZ3RIAMA6o32Cw AA9UryFAAAAKAVN/+AIHlaZzw2QC1Zv3RhMVFB61h501kbX8sRs5BDR+I46czxFBHH H9A9rc+z1udY+X28Ap2nrd6ctF8al3MaCJKndcadL2pNNBZbx+ oHr934Wg7orM4cT44pGkV/XpTlzrVylN+vW3BvaWugM7TVm1euTi2/VgYA9UfytEpxN3HZxUd1KnqCO18A0DgkWgCgdvmeBoLkaQ9oWb Kgw+gpKm8AAADofTovAUHytM6ovAEAoDZpq0Nj0XkJCJKndUbl DQCNQ6IFGou2eu9oPZ5oe9HV7U3gRHt8TwNB8hQAoJ/0V6LFxSBQT9b+fc7zZrJvK1bN/mGpxIa5KToTANARydM642IHAKiW3nG0J3ri5ZJMK286a+NrOaL nHtA9cf505jyL0EO2f/i+BILkaZ1ReQMA0NsqH2sux+oHr934Wg6gOp05z5xr/UfnJSBIntYZlTcAHYneKcsuPqpTERdo/aVefs7e5Hu9NsTxlTvucqH3FwDUF+0tqiV5Wmf0PAWgM1qWLOh U9Lfcz5SLRuV7vXbkjrtcANA8fE8DQfIUAAAAoBU9FoEgeVpnV N4AAFAfYkiIzgZQe/Q8BYLkaZ1ReQMAQG1q3dFh1ewfvmA29Vys/fucUgmglui8BATJ0zqj8q4vMalEroG88qazNr6WQ48DAID6pqM DADQeydM6o0FWf1o/khWx+sFrN76WAwCA5lRvHSR06KBZuP4GguQpUBeWXXxUpyJ68Q K0lqsvctHXdYgEBFCNauuQ7paXUKJZ+J4GguRpnVF508xalizo MPpbDNXQ2QD6Vq7OaB19TQICGku9tdXVQQDQMcnTOqOBA7Vt+c xT0tKLjuwwVt75g1IJAKBR9HVbvdr96ZgB7XP93Rj8HamW5Gkr rcembC/6Q3cbOLmfv60AABqbhAkQJBSgfb4vgSB52sqq2T98wczouVj79 zmlEn2ruw2c+Hlzv0friN8f6lm9XARoiEFt6us6pL/qAgkTIGiPQPt8XwJB8rSf5BKXMUlFOcrv47WeRM/Vyt+p8veo/P0ijPlYO+Jv0frvVv6blV/LoXdyz9AQA0K91QWtvydaf0eU38cr0Hn9VRd0d7/dTbpW1h3lUIdQy9xgAILkaT+qfFQ+YvWD126M8vt1C+4tbb1BP VTeud+r/FoZ1JbWf7fy36z86u8GQMh9V5Sj/L51+wVoLNUke9UhANQbydM6o7caANAsovfZsouP6lQAXadXHbT P9TcQJE/rjAYOtK9ezhHnMtSmvj431QUda1myoMMAgN7gexoIkqd1xp0va AzOZSCoCwAAoLZJngINrfW4Wu0FAL1Dzx2oTW7gQPucI0CQPK0 zLj6ga1bN/uHG2Vzbi7V/n1MqAQAA4Pob2EDytM648wUAjaP1RVnu5k7EypvO2hjlZdSveN qh8u8bUf7bVv6tI9YvXVgqBUBfc/0NBMnTOuPOFzQG5zIQWl+UrVtw7wuGFIlY/eC1GyPeU/9yf+Pya2UA0H+02YEgeVpn3PmCxuBcBqh/kexcdvFRnQo9SGtD7m+Ti+gFDEBjkASnWpKndcZJD+1rlqRkXI R3NoDOq5c6RHugdrQsWdCpoHbk/j6tAyDo8AAEyVOAOrTyzh+kpRcd2WEsn3lKqQRQi7qbBK32Yq5 ekq+SxNC7nGPQPucIECRP64w7XwDNI3oOV46J2FFQf/rre71e2hPaPQAA9DfJ0zrjzhcQ1AXNo3I27vYCAICe5SYeECRP gYbSLEnF7jbkckm3lTedtTHK7+MVmpEbE0AzkRiC9mkXAEHyFK DJtH7Ue/WD126M8vt1C+4tbQ30JhdlAFC73GAAguQpAB2KnqjLLj6qU1Gp u+WoLzE2a+5vmotI0LNJdy/KJF1pdrn6JReepACq4fsWCJKndcadL+gdfd0w6q+GWDX7bVmyo MPIyW3XOqh/ub9rLugZ2gPNJW5QdCWaRa6OaR3dJWECAJRJngI8p68TERIfAH TF0ouO7FSsfXROqQTV8D0NAJRJntYZd8FpT/Q2qRzLsqOgfqkLoDE4l6E2OTcBgLJOJ0/j7uull16axo4dm0466aS0YsWK0prna2lpSTfffHM69NBDi20jD jzwwHTllVemtWvXlrYCekuM7dWZoL7pEQONwbkMtalZzk1JYgD oWKeTp7/5zW/S5z73ubR06dLSkhdat25dOu+889LBBx+crr766mLbiOuvvz4df vjh6ZxzzpFABXqVRET7/Peh3uVuBkWsvOmsjVFe1h3OEaAeVdaH5WhdL5Zfgc7TLgBCp5K nf/zjH9NnPvOZNG7cuLTddtuVlr7QnDlz0owZM9KECRPS7bffntas WVMkVGfPnp0mTZqUpk+fnm655ZbS1nSHyht6R1/3vNDTA7pn3YJ7s8OQrH7w2o0R7wGaTUf1YrxGHQp0njY7EDpMn j722GPptNNOS9tuu2362te+lrbeeuvSmueLpF70MH3qqaeK7ff ee+80ePDgNHDgwLTnnnumqVOnptGjR6drrrkmrV69ulQKoDb09 Y2J/roRogEIjcG5DPQEHTOAZqCuo1rtJk+XL1+evvjFL6aFCxems84 6q91ep0uWLEn33Xdf2mOPPdLEiRNLSzfZbbfd0r777pvmzp2bF i9eXFoK0Nxikq/OBkCZiwAaSe47r73oC25QAABlbSZPY2zSr3/960VP0S996UvpVa96VWlN3jPPPJMeffTRtMMOO6QxY8aUlm4yb NiwotfqokWLit6pdI+GHLSv3s6RlXf+IC296MgOY/nMU0olgM7obl3gexb6R+67LxdrH51TKtG73KAAAMqyydNoLFx+ +eXFY/pnnnlmestb3lJa07aVK1cWPVVHjhxZPK7f2vDhw4tH/6N36hNPPFFaCgDQ8+ol8SFZSyOJXqGtx91sLwAA6kE2eVqeWf+ Tn/xkOuqoozTsa4i74NA7+rqe6696VR1Cs6iXtotzkkZTOdt7ewEA UC9ekDx96KGHipn1DzrooPSxj30s24sUoNH0dQJDwgR6l3MMAA DoCS9Inj7++OPpjjvuSN/85jeL2fGj50Y5dtlll+Kx+29/+9vF4/m77757mjdvXqlk72lpaUnPPvtsp2LZsmVp6dKlxZit69at6zBi 5v/YvhxdLRevufWtIz63cj/1Uq6rEX+D3Ofmovy3auSI3zH3u+ci/tvlPiOi8hhvL1asWFGcL52JVatW9Vu57kT8N8p9butYs2ZNt8r FsV9ZrrvR1f3Fa2596ygfI+Vo1HJxnOTW5yKOv/J+uluuu9FX+6uHczOiL3/OOFZy61tHHHvl/XSlXE/VIX1VrqvnWDn6ulz8d81t1zqq3V93z81aL9edc6Wa6O7++rJc/M1z61tH+VwpR6OWi9fc+tYRn1u5n0Yt19VzrLyfRi0XkVuXi/js8n4auVwcK7n1raPW2wWxPqKcnyhHfE55XXtRLlcv+Ym+Klf+ b9+ZqMxrNGq5iNy6XMRnl/fTnXJxXNeiNieM6qoY03TUqFHFL53r7RFjosas/THr/lZbbVVa2nmt/8O2FdAZLX++Ia274v2dirTssVKp/pM71tuKOP86E/1drquR+8xcVDYiqinX3ch9di7K+4vX3PpcVO6nkcvl1uWicj/VlOtu5D47F7myXYncZ+aip8p1N3KfnYtqy+XW5SKOve7sp97Kx WtufS4q99PI5XLrclG5n3ool1uXi8p9VBO5z85Ff5XLrctFHEP d2U+9lYvX3PpcVO6nkcvl1uWicj+NXC63LheV+2jkcrl1uYhjr zv76atyQN94QfJ03333zZ6UEQ8++GCR/PzIRz5SZIXvvffetPPOOxflNt9887T99tunP//5z8XM+63F3aD58+en8ePHp3HjxpWWds7AgQOLGfw7E9FbNl5ju IFBgwZ1GEOHDn1e+a6Wi9fc+tYRn1u5n+6WGzZsWHa71tFT++t qRI/k3Ofmovy3qiZGp+VdinK5+DkHPruoU1HNzxllc797LuJnyn1GV 6K7++vrct2Jzp6bcY50p1zruqC70dWfs9HrkK6Wi+Mktz4Xled md8t1N/pqf/Vwbkb05c8Zx0pufetofU53tlxP1SF9Va6r51g5+rpcX9U93T03 a71cd86VaqK7++vLcvE3z61vHeVzpRyNWi5ec+tbR3xu5X5qvV 3Q3XJdPcfK+2nUchG5dbmIzy7vp5HLxbGSW9866q1d0N1yXT3H ytGo5eI4ya3PRRx/5f00armI3LpcxGeX99OdcpH/q0U99lONHTu2SKzefffd6f777y8t3WTu3LnpnnvuSbvuumvabL PNSkuhOmsfnZOWXnRkp4LmEDd6uqOvJ5fp7s8JdE53z2nnJtBM 1HkA0LEeS57GRcrkyZOLXqXTpk1Ls2bNKsaLiG7nd911V5o+fX ox3kFMRBVZf7pHAwd6R7OcW+oQmkW9HOt9feMGAKDZaG9RrR7t DxsTSJ188snpgQceSPvss08aMmRI0f124sSJ6YYbbkhTp05N++ 23X2lrgJ7nixEI3a0L1CFAf6i27lF3AUDv6dHkaYwPMWXKlDRz 5sx0yCGHbBznIHqkXnHFFcW62Ibu0zCC9ulZ2T51CM2iu3VBX9 ch6iygJ6hLAKD3dCl5GpNDxSRRF154YRoxYkRp6fPF4K4HHHBA uuqqq9KSJUuKuO6669Jhhx0mcQr0umZJDkqCQvu6e47Uy7mlDg AqqRMAoPf0aM9TaHRr5l2Xll18VKdi/dKFpVJdF2Vzn5mL+JmoXr1ddOhhQm9opLqnXs6R7tY96gCgkjo BeodzCwiSp3VG5d3/WpYs6FRUK/eZuaBnOLdgg1w9kwuARtbXN1X7qx2ixyq0zzkCBMlTgCYiSQy1 xTkJtamvz00JGgCoXZKnAAAAAAAZkqd1xl1pAOhYvXxfNsv3uh 620Lu6W5c4NwGgY5KnAM+ptwRGd3/eZknUQKMnBJzLQCVJUADoPZKndUbDCHpHvZ1b6gJoX70kF7t7L qsDgEpuqABA75E8BQAajuQi0EzUeQDQeyRPAZqIiyuaRb30wtJ bDOgJ3a1L1EHQPm1nIEie1hkNHGifBg4QulsXqEOAetTXdZdrE pqFYx0IkqdAQ9HAoSvWzLuu07F+6cJSqe7LfW5b0RP7o+v6ug6 RrAXqkboLgGYieQrQRCSXX2jFjWd2KnpK7rNzQXUc60AzUecBt M0NH6oleVpnnPQA0LF6+b6U8AB6Ql/XeeouAJqJ5CkA0HBc2APNpLt1XneTrjp0ANBMJE/rTF9fDMajo8suPqpTAQC1ol4u7CUg6E0xdnKuzZaLGGuZ+qUuA YDeI3lKh1qWLOgwAKCW6HkKG+TabbmgvqnzAKD3SJ4CAA2nXnp hSXgAPUHPU+gdzi0gSJ7WGZU3AHSsXpKSvteBntDXdZ4bPzQLx zoQJE8BgIYjKQk0k+7Wed1NDKljAWgmkqcAAAAAABmSp3XGYwP QPj0hgGr0dR3iex0aS7Oc0+ouAJqJ5CnQUDTmgWr0dR3ihg80l mY5p9VdQD1xjUi1JE8BMtYvXdjpAAAI3b1Al4wEgNoleQqQsXz mKWnpRUd2GCvv/EGpBFBL6qWHgZ4Q0Fi6mwStti6QtAWA3iN5Wmc0cKh3a+Zd1+k AAKgnbohAY3H9DQTJ0zqjQUa9WzX7h2nFjWd2GGv/PqdUAqBxuSiDxtIs57RrEpqFYx0IkqcAAAA9oFkSLW78ANBMJE 8BgIZTLxf2erRAY+lu3dPdcuU6pNryQJ4bBUCQPAVoIhqAQJAw gd7R3XOru+X663tdHUKzcKwDQfK0zkh8ANXQAITa0l/f69oT0Dua5dxShwDQTCRP64zEBwAAAPQ+Nwoag78j1ZI8BRqKL 8b2+e9Ds6iXR2DdFAV6groEeodzCwiSp0BD0cBpn/8+0D7nCNBM3FSF9jlHgCB5CgDQT1yUAfXIjSaahWMdCJKndcZF FlANdQgAUC3tCQCaieQpQBNx95xmUS8X9s5JoCdIZkLvcG4BQf K0zrjIAoDG4aIM6E/dvbZwTUKzcKwDQfIUoB/0V0NMogYAek+zJFq0JwBoJpKn1IQ1867rdKxfurBUCupXf110u HsOAL2nr7/ffa9D73KjAAiSp3WmkSvvFTee2akAgI7US0JB4gMaS1+f0+VrA 3UJ9A7nFhAkTwGaiLvnUFuck9BYnNPQWJzTQJA8rTPufAHVUIc AQV0AvaPezq3uJobUITQLxzoQJE8B+oGGGNCf6qUnjbqSetMsv dT0xgOgmUieAjynry/Q++uiw8UOzUJysDGos6g3/XVOO1egdzi3gCB5CvCcvm4Y9dfFlUQN1BYXZdBYmuWc1p6gWTj WgSB5WmdcZEFjcC4D1XAxB/SE7tYl2jEANBPJ0zrjYgmohosdaAzOZQDofb5vgSB5CtBE3ICh WdTLsd5fP6e6ABqLcxp6h3OrMfg7Ui3JU4Dn+EIF+kN3e7RUW2 fpSQPt0y4Agu9LIEieAjynrxtGLsqAariYg97lHGufdgzNwrEO BMnTOqMhB43BuQwA9Lfutke0YwBoJpKnAP3AXWzoXY1+Yd8sdY i6EjpHMhN6h3MLCNnkaVQQ8+bNS1/+8pfT5MmT05Zbblk0Xl/60pemE044Ic2aNSu1tLSUtn6+WH7zzTenQw89NI0dO7aIAw88M F155ZVp7dq1pa3oLhcR0Bg0xIBqNEsdoq6kv3S3za2tDo3FOQ2 EbPL0qaeeSh//+MfTZz7zmfTLX/6yeB/mz5+fvv/976e3v/3t6bzzzkvr1q0rlpfF+1h+8MEHp6uvvjotXbq0iOuvvz4dfvjh 6ZxzzpFABWqShhFA71HHUm+6m7iX8AeAxtPmY/s77bRTmjlzZnr88ceLpGg0BJYtW5Z+9rOfpXHjxqUf//jH6c9//nNp6w3mzJmTZsyYkSZMmJBuv/32tGbNmqLs7Nmz06RJk9L06dPTLbfcUtoaoHbU28WORAQ0Bucy NJZ6O6fVQdA+N0SAkE2exmP6F1xwQXr3u9+dxo8fnwYO3LDZqF Gjisfx3/Oe96T77rsvPfHEE8XyEJVK9DCNXqqnnXZa2nvvvdPgwYOLsnvu uWeaOnVqGj16dLrmmmvS6tWrS6UA6A4NOWhfvSQEnMvQWPrrnJ YEhd7h3AJCmz1P2xKP3S9fvjzttttuaauttiotTWnJkiVFQnWP PfZIEydOLC3dJLbfd99909y5c9PixYtLS+kqF1nQGDTEAKB2df d72vc7NBbX343B35FqdTp5GgfbwoULizFNf/rTn6Z/+7d/S6985StLa1N65pln0qOPPpp22GGHNGbMmNLSTYYNG5a23nrrtG jRoo1jqNJ1GmTQGKr9AlcXAEDv6e73dL1doEsoQPu0uYHQYfJ0 xYoV6aSTTioev99uu+2K3qU33HBDOvbYY59XkaxcubLokTpy5M jicf3Whg8fnrbddtsXPO4PUAv6umFU7f5c7EBjcFEGAAC1rcuP 7cfs+5dffrkEKNBQ+joZKfkJBHUBUA03YKB3+Z4GQofJ0xEjRq QLL7ywqDRitv3zzz8/XXLJJekjH/lI8Qh+X2hpaSkmmepMPPvss8VrlImfuaNo/dldLddX+ynHunXrstu1jp7aX1fLrVmzJrs+F5X7aeRyuXW5iM+ u3Fdum1zUW7nePhbjHOlOue7ur9pyfbWfcqhD1CGto97KdfaY6 m5doA55fvRUub6qe+I4ya3PReV+6qFcbl0uyudKo5fr7rFYq+W qrbP66hyrl3JxnOTW56JyP41cLrcuF/HZlfvKbZOLeivXV8divZTrq/3US7k4TnLrc1G5n0Yul1uXi/jsyn3ltslFuVz8DWpRl3qexmz7xx13XPrMZz6TrrrqqjRr1qzS mt63atWqTkX8hy6/diZiAqzW5TsT5XLxmlufi8r9NGq5OOBz63IRJ0Z5P41aLiK3Lh fx2eX9NHK53LpcxLFX3k8jl4vX3PpcVO6nUcvFcZJbl4s4/sr7adRyEbl1uYjPLu+nkcvl1uUijr3yfhq5XLzm1ueicj+NWi6 Ok9y6XMTxV95PrZfrzrkS0cjlcutyEcdQeT+NXC5ec+tzUbmfR i0Xx0luXS7i+Cvvp1HLReTW5SI+u7yfRi6XW5eLOPbK+2nkcvG aW5+Lyv00ark4TnLrchHHX3k/jVouIrcuF/HZ5f10p1yt6vJj+/FoyGtf+9ri3zF+aVmMaRrJ1fJdz9ZiTNSYcKr1LP2dFWOpdiaG Dh1avA4aNKgYp7WjGDJkyPPKd7VcvObWt4743Mr9NGq5mBgstz 4X0au5vJ9GLReRW5eL+Ozyfhq5XBwrufWtI4698n4auVy85ta3 jvjcyv00ark4TnLrcxHHX3k/jVouIrcuF/HZ5f00crk4VnLrW0cce+X9NHK5eM2tbx3xuZX7adRycZzk1uci jr/yfmq9XHfOlYhGLhd/89z61hHHUHk/jVwuXnPrW0d8buV+GrVcHCe59bmI46+8n0YtF5Fbl4v47PJ+Gr lcHCu59a0jjr3yfhq5XLzm1reO+NzK/TRquThOcutzEcdfeT+NWi4ity4X8dnl/XSnXK0OR9Pl5GmIR+ND5cRQm2++edp+++3Tn//852Lm/dZi4qn58+en8ePHp3HjxpWWdk78h4yDuDMRydN4jf/gnY3K8rn1bUVf7qeeyuXW5aJyP41cLrcuF5X7aORyuXVtRXf20 7q+yG2Ti+6Wi+hOufL+cuvaisr9RPncNrnoiXK59W1FteVy63J RuZ9GLpdbl4vKfTRyudy6XNRLXRBRTbnc8raimv1UW64v657cu lxU7qceyuXW5aJyH41cLreurejOfiL6sly1dU93z7G+PDf7ulx uXS4q99PI5XLrclG5j0Yul1uXi3prF3S3XG55W1HNfuqpXG5dL ir308jlcutyUbmP7pSLf9eiLidPoxttTBoVXv3qVxevYezYsUW v0rvvvjvdf//9paWbzJ07N91zzz1p1113TZtttllpKV1VqwcS1Ltcj/neVO3++vrnBWqL9gAA9D5tbiBkk6c//elP0yc+8Yl05513psWLFxcVRoxB8PDDD6fTTjstnXPOOenQQw9 Ne++9d6nEhkb85MmTi16l06ZNK8ZDLY8rcdddd6Xp06cXE04dd NBBRe9QgFrS14kIiQ+gGi7mAKD3abMDIZs8jXFLY1b9N77xjcX j+OWu6i9/+cvTueeeWyyPZGg8gl9p9913TyeffHJ64IEH0j777FOMKxHlJk 6cmG644YY0derUtN9++5W2pjtcLEHv6Otzy7kMBBdlQH/SHgGAjmWTp4cddli6+eab0ymnnJL22muv0tJUJD4vuOCCdM011 6RXvepVpaWbxBioU6ZMSTNnzkyHHHJIGjNmTBHRI/WKK64o1lWOkwoA0My6m7iQdAWA3ucGAxCyydOYEWv//fcvep/G4/dRYUT8+te/Th/72MfSlltuWdryhaKX6gEHHJCuuuqqtGTJkiKuu+66IiErcQoAU D0XcwDQ+9ysBEKXJ4yif6m8AaBjkotAM1HnAUDvkTwFeE5f35h wIwQI6gIAqF1uTDQG7S2qJXlaZ1Te0Dv6+txyLkPvqpdGsroA6 AkSA9A7nFuNQXuLakmeAvQDDTEAoKy/Luy1R6B9km6NQV1HtSRPAfqBhhgAUObCHmqTc7MxuPaiWpKndU blDe1rli9GdQH0jr6uQ7p7LqsDAKD3Sbo1Bu0mqiV5CjSUZklE aMhB7+jruqC757I6AOgJ6hJon6RbY1DXUS3JU4Dn+EKFxuKcBp qJOg+gbZLgVEvytM5oGEFjqPYLXAMAmps6AHpXX59j2vhQm5yb jcHfkWpJngL0g2q/wDUAoDF0N0GjDoDe1dfnmBsiUJucm0CQPAUAGk69XOxIggI9QY IHAHqP5Gmd0TCC9jVLIkJdAL2jXnqbqQMAoPe5yQkEyVOgoTRL QkFDDnpHX9ch3T2X1QHQu5qlPeFGDLTPOQIEydM642IJAAB6V1 +3ubXxAaB2SZ4CAAD0I73boDa5sQEEyVOAfuAiCQAaT719v0sM AUDHJE/rjIQLNIb+ulhxkUSzqJdj3fc6NBbf79BYfE83Bn9HqiV5CtBEN Bygtkh4AEDt8j3dGPwdqZbkKQDQcNwoAOpJtRf26jyAtqkjqZb kaZ1xxwSohjoEaovGPBDUBVCbnJuNwTUQ1ZI8BWgiGoBQWzTmA aB2+Z5uDK6BqJbkaZ1x0gMAAAB0jiQ41ZI8BRqKL8b2+e8D7ev rc8RNUaA/qYOgfc6RxuDvSLUkT4GG4ouxff770Cy6mwTt63PEDQ0gVFsXqE sA2qaOpFqSp3XGSQ8AjcMNDSD0V13g2gLa5xxpDNpbVEvyFKCJ aABCbXFOAkDtknRrDNpbVEvyFKCJaAAC/cFFC9Qm7QKgGajrqJbkaZ1x0gNA4/C9DvSn7t7YUHfRLNz8awz+jlRL8hSgiWg40Czq5cLeOQmEauuC 7tZ53S2n7qJZuFHQGPwdqZbkaZ3RUAGqoeEAALWnv76fXVsAzU BdR7UkTwEA+okbGkB/UgdB+yTdGoO6jmpJngI0EQ1AqC3OSWgs9XaBrg4CmoG6jmpJng I0EXddaRYayUB/6K+6p6/3qz1Bs3CsNwZ/R6oleVpnnPTQPgkToBrqEICOqStpFo71xuDvSLUkT+uMkx7a5w ZD+9Qh0D51CAAAUEnytM64qAOqoQ6B2uKchMZSb+e0Ogja5xwB guRpndFrDAA6Vi8XO77XobH01znd3TpPHQTtc44AQfIUoIloAA JA46j2RlF3y+uNB0AzkTytMxoqQDXUIVBbnJNAf+ruTVU3Y2kW vqeBIHlaZzRUoH3OESDUS0JAnQWNpa8TLeU6pLt1icQQtM/3NBAkT+uMBg60zznSPg1AaJ86BKhGvX3PahcAQMckT+uMBg5QD YkhAKg9/dXG1y6A9jlHgCB5WmdU3gAA0Fj6q42vYwYAdEzyFKCJuEiC2uK mKDSWZjmn1V00C23nxqDOolqSp3VG5Q1UQ8OBZlEvx7rvdWgs/XVO93Wdp+6iWWg7NwZ1FtWSPK0zKm8AoFraEwBAs9DuoVqSp3X GHRNoDL7AgdBfdYH2BBC0R6B9vi8bg78j1ZI8rTMaONAYfIEDQ V0A9Cd1ENAM5FGoluRpndHAAYCO+b6sLS5aaBbdPdarrbO6W76 7P69zmmbhWG8M2oVUS/IUaCh9ffEANJa+blw3S93jooVmUW/Hend/Xuc0zcKx3hhc61EtydM646SH3qFhBPSHZql7utt+0e4BAKrlWo 9qZZOnLS0t6f77709nnHFGetvb3pbGjh1bNF5f//rXp7PPPjstWrSotOULRdmbb745HXrooUW5iAMPPDBdeeWVae3a taWt6C4nPTQGCQEgNEtSUfsFgHqkzQ6EbPL0oYceSu9973vTtG nT0o033piWLl1aLJ8zZ0467bTT0rve9a70xz/+sVhWad26dem8885LBx98cLr66quLchHXX399Ovzww9M555wjg VollTc0BokE6F318n3Z3bqg3uqQ7v491JXUm+4e69XWWa4RoHf 4HgJCNnk6cODAtPfee6df/OIX6fHHHy+SotGj9O9//3v61Kc+le6444705S9/OS1fvrxUYoNIrs6YMSNNmDAh3X777WnNmjVF2dmzZ6dJkyal6d Onp1tuuaW0Nd2h8ob2uXgAqqEO6R3aLzSLZjnW1ZUANJNs8nSn nXZK3/rWt9JBBx2Uxo8fXyRT4wvyRS96Ufrc5z5XPJI/d+7ctGDBglKJDQ2F6GH61FNPFb1TI/k6ePDgouyee+6Zpk6dmkaPHp2uueaatHr16lIpgNrgIgDoD81S 96hjobG4IQJAM+nyhFHDhw9PW2+9dfH4ffQqLVuyZEm677770h 577JEmTpxYWrrJbrvtlvbdd98i6bp48eLSUrrKxQf0jr6+CKj2 XO5ueRc7NIt6Odab5ZxU91Bv6q3N3d1zzLUFAHSsy8nTSJo+++ yzadSoUUUiteyZZ55Jjz76aNphhx3SmDFjSks3GTZsWJF0jcmm oncq3ePiAxpDteeyugDaJyFQW/w9qDf1lozs7n61JwCgY11OnsZEUb/61a+KR/G33Xbb0tKUVq5cWYyBOnLkyOJx/dYi0RrbR+/UJ554orSUrnLxAQAda/SEQL21ByRoaBb9dazXW7IXAOpJl5Knjz32WDrzzDPT5ptvnj70 oQ8VvUnpWy4+gGq4SKJZNPqxXm17oK//+6h7oHd19xxzbQEAHet08jR6lX7xi19MN910U/r85z+fdt1119Ka3hcz/cf4qp2JmIwqXqMh0NmoLJ9b31b05X7qqVxuXS4q99PI5XLrclG 5j0Yul1vXVnRnP63ri9w2bUV/lMstbyuq2U854r9PbptcVJbLrW8rqi2XW5eLyv00crnculxU7q ORy+XW5aK7dUGz1CF9XRf05f5y63JRuZ96KJdbl4vKfTRyudy6 tqI7+4noy3LV1j19fU7n1rcV/VUuty4Xlftp5HK5dbmo3Ecjl8utayu6s5+IeiqXW95WVLOfeiq XW5eLyv00crnculxU7qM75eLftahTydNInMZs+RdddFHR8/Soo47q8x4EMc5qZyKSp/Ea/9GjEdFRrFmz5nnlu1ouXnPrW0d8buV+GrXcqlWrsutzsWLFio3 7adRyEbl1uYjPLu+nkcvFsZJb3zri2Cvvp5HLxWtufeuIz63cT 6OWi+Mktz4XcfyV99Oo5SJy63IRn13eTyOXi2Mlt751xLFX3k8 jl4vX3PrWEZ9buZ9GLRfHSW59LuL4K++n1st151yJaORy8TfPr W8dcQyV99PI5eI1t751xOdW7qdRy8Vxklufizj+yvtp1HIRuXW 5iM8u76eRy8WxklvfOuLYK++nkcvFa25964jPrdxPo5aL4yS3P hdx/JX306jlInLrchGfXd5Pd8rVbfJ06dKl6bTTTks/+MEP0rnnnptOOumkNsc0jUmk4mDL/bIxJurChQuLWfe32mqr0tLOiyECOhMDBw7c+NqZiN+ldfnORLl cvObW56JyP41absiQIdl1uRg6dOjG/TRquYjculzEZ5f308jlcutyEcdeeT+NXC5ec+tzUbmfRi0Xx0l uXS7i+Cvvp1HLReTW5SI+u7yfRi6XW5eLOPbK+2nkcvGaW5+Ly v00ark4TnLrchHHX3k/tV6uO+dKRCOXy63LRRxD5f00crl4za3PReV+GrVcHCe5dbmI46 +8n0YtF5Fbl4v47PJ+Grlcbl0u4tgr76eRy8Vrbn0uKvfTqOXi OMmty0Ucf+X9NGq5iNy6XMRnl/fTnXK1qt3kaSQ7Tz755HTJJZekCy+8MH3wgx8sDrqcGAd1++23 T3/+85+Lmfdbi4zz/Pnz0/jx49O4ceNKSzsn/kOW/2AdRUxYFa9RJnrHdhStP7ur5fpqP+UYNGhQdrvW0VP762q5OOB z63NRuZ9GLpdbl4v47Mp95bbJRb2V66tjsV7K9dV+6qVcHCe59 bmo3E8jl8uty0V8duW+ctvkot7K9dWxWC/l+mo/1Zbrq/ZLHCe59bmo3E89lMuty0X5XGn0ct09Fmu1XJwj3SlX3l9v/3z1Vi6Ok9z6XFTup5HL5dblIj67cl+5bXJRb+X66lisl3J9tZ9 6KRfHSW59Lir308jlcutyEZ9dua/cNrkol4u/QS1q86f6wx/+kI444oh05513FsnTY489tt1fYuzYsUWv0rvvvjvdf//9paWbzJ07N91zzz3FWKmbbbZZaSldVatdmAGglkQjjNqh/UK9qbc6RJ0HAL0nmw297bbb0uGHH57Wrl1bJE4nT57c4RdyrI/tolfptGnT0qxZs4ryMXbBXXfdlaZPn56WLVuWDjrooCKbDFBLm uWiw8UVzaLRk3X1di6re6g39VaHdPfn7e656ZwGoJlkk6ePPPJ ImjdvXrrjjjvSnnvuWXw55iLGP43H8ct233334jH/Bx54IO2zzz5Ft9t4BGXixInphhtuKCad2m+//Upb0x3x3x1oW3fPkb6+SHIuQ+/q7jlWL+dmsyR2oN70Vx3S1+0f5zQAzaRHBxOI8VCnTJmSZs6cm Q455JA0ZsyYIqJH6hVXXFGsa2vMVDpHQwUaQ7XnsuQrtM/3ZW1RZ9Es+qvu6e5+nZsA0LFs8vS4444rvoA7iphEasSIEaVSG 8S4qAcccEC66qqr0pIlS4q47rrr0mGHHSZx2gM0cIAQdXB3dLc cQDXUPVCbnJsA0LEe7XlK79PAAQDqjZu/0D5tfACoXZKnAM/p6wt7iQSgmXQ3MaSupN44ZgGg8Uie1hkNMugdfd3jo796mKhDa BaNfqw3y7msNx71xvc7ADQeydM64yIC2uccAUJ364J6qUOq/TklWqCxaP8AQO+RPK0zLnaAoC6A9jlH2ifRAu2rtzpEnQcAvUf ytM642AFCd+sCdQjNwrEOVKOv65Bqk5/qPADoPZKnAM/p6x4beohA73KOAc1EnQcAvUfyFOA5fd1jQw8R6F3OMaCZqPMAo PdIngINRc+L9vnvA+1zjgAAAJUkTwGAhiMJCjQTdR4A9B7JU4A 65CIJ2ucRVqCZqPMAoPdIngL0g2qTny6SoH1uMAD1pNrvdXUeA PQeyVOAftBfyU9JV5qFYx2oRr0lI9V5ANB7JE+BhuLiAQjdTXy oQ4BQb3WBnqcA0HskTwGaiIsrmoUkKNBM1HkA0HskTwHqkCQot K/RzxF1AFBJnQAAvUfyFKAO6WEC7Wv0c0QdAFRSJwBA75E8BQAAA ADIkDwFaCJ6ptAsPMIKNBN1HgD0HslTAKDhuFEANBN1HgD0Hsl TAKDh6IUFNBN1HgD0HslTAKDh6IUFNBN1HgD0HslTAKDh6IUFN BN1HgD0HslTAKDh6IUFNBN1HgD0HslTAAAAAIAMyVMAAAAAgAz JUwAAAACADMlTAAAAAIAMyVMAAAAAgAzJUwAAAACADMlTAAAAA IAMyVMAAAAAgAzJUwAAAACADMlTAAAAAIAMyVMAAAAAgAzJUwA AAACADMlTAAAAAIAMyVMAAAAAgAzJUwAAAACADMlTAAAAAIAMy VMAAAAAgAzJUwAAAACADMlTAAAAAIAMyVMAAAAAgAzJUwAAAAC ADMlTAAAAAIAMyVMAAAAAgAzJUwAAAACADMlTAAAAAIAMyVMAA AAAgAzJUwAAAACAjE4lT1esWJFOOumkIuLf7WlpaUk333xzOvT QQ9PYsWOLOPDAA9OVV16Z1q5dW9oKAAAAAKC2tZs8Xb9+fXryy SfTN77xjXTppZeWlrZt3bp16bzzzksHH3xwuvrqq9PSpUuLuP7 669Phhx+ezjnnHAlUAAAAAKAutJk8ve2229LAgQPTVlttlT796 U8XSdCOzJkzJ82YMSNNmDAh3X777WnNmjVFQnX27Nlp0qRJafr 06emWW24pbQ0AAAAAULt6bMzT6KUaPUyfeuqpdNppp6W99947D R48uEjA7rnnnmnq1Klp9OjR6ZprrkmrV68ulQIAAAAAqE1tJk/33XffIiEa8eCDD6bddtuttCZvyZIl6b777kt77LFHmjhxYmnpJ lE+PnPu3Llp8eLFpaUAAAAAALWpx3qePvPMM+nRRx9NO+ywQxo zZkxp6SbDhg1LW2+9dVq0aFHROxUAAAAAoJb1WPJ05cqVafny5 WnkyJHF4/qtDR8+PG277bZF79QnnniitBQAAAAAoDb1WPIUAAAAAKCRSJ4C AAAAAGTURfK0paUlLV26tFOxbNmy4nXt2rVp3bp1HUbM/F9Zvqvl4jW3vnXE51bup1HLPfvss9n1uSj/rRq5XERuXS7is8v7aeRycazk1reOOPbK+2nkcvGaW9864nMr99 Oo5eI4ya3PRRx/5f00armI3LpcxGeX99PI5eJYya1vHXHslffTyOXiNbe+dcTnVu 6nUcvFcZJbn4s4/sr7qfVy3TlXIhq5XPzNc+tbRxxD5f00crl4za1vHfG5lftp1HJ xnOTW5yKOv/J+GrVcRG5dLuKzy/tp5HJxrOTWt4449sr7aeRy8Zpb3zricyv306jl4jjJrc9FHH/l/TRquYjculzEZ5f3051ykf+rRT2WPI0xTUeNGlX80jFDf2sxJur ChQuLWfe32mqr0tLOGzRoUKcCGtGAAQPajNbnQG6bXPRXudy6X AwcOLBb+6m3cvGaW5+Lyv00crnculxU7qeRy+XW5aJyH41cLrc uF3HsdWc/9VYuXnPrc1G5n0Yul1uXi8r91EO53LpcVO6jkcvl1uUijqHu7K feysVrbn0uKvfTyOVy63JRuZ9GLpdbl4vKfTRyudy6XMSx1539 9FU5oG/0WPJ08803T9tvv33685//XMy839qKFSvS/Pnz0/jx49O4ceNKSzsnKpCYiKozMXr06GK2/5i0qrLSaSuGDh1abF+OrpaL19z61hGfW7mfRi0Xf4Pc+lyU/1aNXC4ity4X8dnl/bQuF+dAWzFs2LCibMSIESOy2+Siv8p19PuUI46p8n4auVy85ta 3jvjcyv00ark4TnLrcxHHX3k/jVouIrcuF/HZ5f00crk4VnLrW0cce+X9NHK5eM2tbx3xuZX7adRycZzk1uci jr/yfmq9XHfOlYhGLhd/89z61hHHUHk/jVwuXnPrW0d8buV+GrVcHCe59bmI46+8n0YtF5Fbl4v47PJ+Gr lcHCu59a0jjr3yfmqxXKyPiOv28rVkRHxOeV17US5X63mGvi5X/m/fmeiPPENfl4vIrctFfHZ5P90pF8d1Leqxn2rs2LFFr9K777473 X///aWlm8ydOzfdc889adddd02bbbZZaSkAAAAAQG3qseRpdBmfPHl y0at02rRpadasWcV4ETFewV133ZWmT59ejHdw0EEHFVl/AAAAAIBa1mby9Lbbbts4jsYuu+yS7rvvvvTtb3+76EpbTpQ++e STpa032H333dPJJ5+cHnjggbTPPvukIUOGFN1vJ06cmG644YY0 derUtN9++5W2BgAAAACoXT06mECMDzFlypQ0c+bMdMghh2wc5y ASrVdccUWxLrYBAAAAAKh1bSZP991332LW/Lbi+uuvT1tuuWVp601icNcDDjggXXXVVWnJkiVFXHfddemwww6 TOAUAAAAA6kaP9jwFAAAAAGgUkqcAAAAAABmSpwAAAAAAGZKnA AAAAAAZkqcAAAAAABmSpwAAAAAAGZKnAAAAAAAZkqcAAAAAABm SpwAAAAAAGZKnAAAAAAAZkqcAAAAAABmSpwAAAAAAGZKnAAAAA AAZkqcAAAAAABmSpwAAAAAAGZKnAAAAAAAZkqcAAAAAABmSpwA AAAAAGZKnAAAAAAAZkqcAAAAAABmSpwAAAAAAGZKnAAAAAAAZk qcAAAAAABmSpwAAAAAAGZKnAAAAAAAZkqcAAAAAABmSpwAAAAA AGZKnAAAAAAAZkqcAAAAAABmSpwAAAAAAGZKnAAAAAAAZkqcAA AAAABmSpwAAAAAAGZKnAAAAAAAZkqcAAAAAABmSpwAAAAAAGZK nAAAAAAAZkqcAAAAAABmSpwAAAAAAGZKnAAAAAAAZkqcAAAAAA BmSpwAAAAAAGZKnAAAAAAAZkqcAAAAAABmSpwAAAAAAGZKnAAA AAAAZkqcAAAAAABmSpwAAAAAAGZKnAAAAAAAZkqcAAAAAABmSp wAAAAAAGT2ePG1paUk333xzOvTQQ9PYsWOLOPDAA9OVV16Z1q5 dW9oKAAAAAKC29WjydN26dem8885LBx98cLr66qvT0qVLi7j++ uvT4Ycfns455xwJVAAAAACgLvRo8nTOnDlpxowZacKECen2229 Pa9asKRKqs2fPTpMmTUrTp09Pt9xyS2lrAAAAAIDa1WPJ0/Xr1xc9TJ966ql02mmnpb333jsNHjw4DRw4MO25555p6tSpafTo 0emaa65Jq1evLpUCAAAAAKhNPZY8XbJkSbrvvvvSHnvskSZOnF hausluu+2W9t133zR37ty0ePHi0lIAAAAAgNrUY8nTZ555Jj36 6KNphx12SGPGjCkt3WTYsGFp6623TosWLSp6pwIAAAAA1LIeS5 6uXLkyLV++PI0cObJ4XL+14cOHp2233bbonfrEE0+UlgIAAAAA 1KYenTAKAAAAAKBRSJ4CAAAAAGQMWB/T5PeAefPmpaOPPjrttdde6dxzz00jRowordnkjDPOSNOmTUu33 nprMXlUZ7W0tBTDAnQkZvH/29/+ltatW5fS/3w2rV++qLSmbYNe+uY0YI8Pld6ltO76T3ep3Pq7v5/WPfLb0tK2DRg1Pg2a/JXSu9Sw5dbPvzWtu+t7paXtG/KOc9L6EVsW/27UcmHNtVOK144M2vOENOAlbyr+PWDFk88rN3RI2/c5hrzxo8+Ve/OGN88+kVb/4pQN/+5Af5Vb84uPp/XPdnyODXnZAWnAxBNL757779ig5dbP/m5a89ebS0vbNmDk+DTkneeX3j13LDZoufXzf5vW3PGt0tL2DX3 njJRGblX8u2HLPafWz+mCOkQd0oo65IXUBc+nLng+dcHzqQteS B3yfOqQDVavaSle5TWeT17jhWohr9Gecrmdd965mDOp1vRY8nT +/PnpPe95T5owYUI6//zzi7FPK0Xyc8qUKem2225Ll112WfEfpLMieRrjqXYktosJqWLm/4ErOj8p1fqRGw6gMODZJ0v/6liU6+r2ZY1arivbh/K+GrVcVzX6f48o15Uy5f2ERi3nv8cmXf3vEcr7atRyXdXo/z2iXFfKlPcTGrWc/x6bdPW/Ryjvq9bLdVW9/F7VlOtKmfJ+QqOW899jk67+9wjlfTVqua5q9P8eUa4rZcr7CY1 azn+PTbr63yOU99Wo5bqqmp8vcooNnTxdvHhxOuGEE4rJoC655 JK0/fbbl9Zs8PTTT6fjjz8+rVq1Kl166aVp/PjxpTUAAAAAALWnx8Y8HTt2bNptt93S3Xffne6///7S0k3mzp2b7rnnnrTrrrumzTbbrLQUAAAAAKA29VjydMCAAWny 5Mlp3Lhxxbims2bNSmvXri0epb/rrrvS9OnT07Jly9JBBx2Uhg4dWioFAAAAAFCbeuyx/RDJ0pgsKiaGWrp0aWnpJmeffXYx7ungwYNLSwAAAAAAalOPJk9 D9DS95ZZb0owZM9KNN95YLIuZ9U888cT07ne/W+IUAAAAAKgLPZ48BQAAAABoBD025ikAAAAAQCORPAUAAAAAyJ A8BQAAAADIkDwFAAAAAMiQPAUAAAAAyJA8BQAAAADIkDwFAAAA AMiQPAUAAAAAyJA8BQAAAADIkDwFAAAAAMiQPAUAAAAAyJA8BQ AAAADIkDwFAAAAAMiQPAUAAAAAyJA8BQAAAADIkDwFAAAAAMiQ PAUAAAAAyOiT5OkZZ5yRBgwY8Ly45JJLSmtr34oVK9JJJ51URP y7I+vXr09//OMf05QpU9LrX//6jb/zpz/96bRy5crSVkCzi3qwsl6MiPqyXkRd95//+Z9p8uTJ6cknnywtzVu1alW64oor0oEHHpjGjh1b/K77779/+vrXv95hWaC5zJs3L+2+++7Pqxs7U8/0pyVLlqSf/exn6YMf/GDaZZddip95yy23TEcddVS6+eabU0tLS2nL54t69L777kv//M//XGxfrhsvvPDCTrU5geYRdWDUhZV1Y9SVUWfWqqjHbrjhhnTyyS dvvC6OdmC0B6NdGO3D1qK+vP/++4s28dve9raN7cYof/bZZ6dFixaVtgToO3qetiMatPEl9Y1vfCNdeumlpaXtW758eZo2 bVp64xvfmL72ta+lOXPmlNaktHTp0uIzAerd4sWLi+Tv9773vd KStkUj98QTT0xHHHFEuv7664u6MNxyyy3pX//1X9PBBx9c0w1/gI6cf/75RaL0//2//7exPnvqqaeKhOo//uM/pq985Stp7dq1xfJKP//5z4v1P/zhD4vtQ9SNH/3oR9OnPvWpol0JUK+uvPLK9Pa3vz1985vf3HhdHO3AaA9Gu/CTn/zkC+q5hx56KL33ve8trqlvvPHGje3GKH/aaaeld73rXUVHJYC+1CfJ09NPP71IGkZcfPHFpaW17bbbbksDB w5MW221VdFjtFxptycaxV/+8peLnlj77bdf0fh99tlnN/7u0YtgxIgRpa2BZnfcccdtrB9uvfXW0tLaVu4Rtvnmm6fjjz8+ zZ8/v7QmL363iy66qIhjjz02/elPf0rr1q0rIv79vve9r6hvo1Gd630ANJ+dd9453XvvvUX98cQ TTxQX3rVu1KhR6Utf+lKaO3fuxrZf1GnXXXdd2m233dL06dOLd mGlRx55pEi6jhkzJs2cObPYPnpc/eUvfynqy6gXf/rTn5a2Bppd9E6PpGPUL1HPfOQjHymtqV1Dhw5NU6dOTXfcccfG jkRr1qxJd955Z5o0aVK2notr8L333jv94he/SI8//njRZoy68e9//3txUyk+K6653VwC+pKepz3opptuSueee27Rw+pHP/pRestb3iJZCjS1eJR11qxZRW/8SB7stNNORaM4Iv591llnFY+oRlJ22bJlpVIA9SV6T/3bv/1bes1rXrOx7RdJg3jENnpPRdIgkgWV4sZRxKmnnlr0pIrt49HU HXfcMf37v/97kXSNREn09AeoR0ceeWTRsegNb3hDGj16dLFs8ODBaeLEicVj +dttt1265557nje0XbQPv/Wtb6WDDjoojR8/vmgzRt34ohe9KH3uc59Lhx56aHGjasGCBaUSAL2vZpKnt99+e3 GXvXKM0BgzKhKRMRZU3KWqFI3N2CYq3bjrFMnKvfbaq1gWrz/4wQ+q6sW07777FvuMePDBB4sGbHviZ/jJT36SXvziF6ePfexjady4caU1AN0Xjy598IMfLO7Al+vGl770 penoo4/OjqNX7hkaYzQ/88wz6ZprrinGiyrXqXGnvjM96dvS1R5h8fPFeFeRTBg2bFhp6S axLLccoD1xs+XMM88sHnkvjxUa4+JFfRcX3a17JJXHry+PDxiP fH74wx8uykbEmKNR3/aGbbbZpnitfGx/9erV6e677y6SBAcccEDx81d62cteVvxu8bNKEACdFXVLDKkUic doL5bbjtGObGu80PL8JHF9/be//a1IUEbZqFMjUfm73/3uBdfiPWGzzTZLW2+9ddGztLOfP3z48KJM1KdRDqCv1Ezy9K9//WvRZb9yjNBoMEblH43H6LafEw3Pww47LH3gAx8ouvCHeP3Qhz6 UZsyY0WeVajxGED/7P/3TPxXJBYCeEI8rxRh60XAti0flL7/88mKs0HjcKdfgjMdBo1585zvfWYwXFaJO/cxnPlM0ivtqIpJoeMfNqF//+tfpO9/5zgsSGv/3f/9XNNRjqJMYCgCgM+IG+W9+85viJlJ5rNC4MRT13b/8y78Uj7M+/fTTxfJK8ahr3ESK3vDf/e53i7IRMeZoDEXSGwnU2Gco97oKUQf/7//+b9GTKoaIai16oUaPq+hdZVI9oLPi2veuu+5K11577fOGVop2Z IwXGmMztzXk0o9//OPiycl4Kii2iTr16quvTsccc0zR0amnRT0e9ePIkSPToEGDSkv bF0nTKBNDpUQiFaCv1EzytHLsv3JEr4IYJy/GgorKPPfYUowRFT0G4ksixk+J+K//+q/0kpe8pPjSeOyxx0pb9q7YT/SQjUetoiEfd+kqZwaMyaM0foGuquwFX47yOHpR30SP90g+tvbL X/6yeATqf/7nf4rtozFdfnw+1vVWD6vWojEcSYxIZvzHf/xH0fMhZthfuHBh+vOf/1wkcuMx1+j11dmGM0Dl2H/liHouxlKOJ5liQrvf/va3pa03iboveldFciCSplHu0UcfLZ50ipvvMQRTT4r6NzoAxKO pUZ+XRQIgEhPt9b7/h3/4h+I1boYBdEY86RPzbFTWjZXjhcbN7JjEKScmsDvhhBOKbaNMX HvHECKRSI0nmXqyU1L8XL/61a+KOvlNb3pTccOoM+KpgSi35557pm233ba0FKD31fSYp3FHK XqVRm/O6Jmae8wgvgSit8Aee+xRjJ8S8da3vrUoE71Sc0mF3hC9B8InP vGJdOCBBxZ36cqPxkaP1ClTpphRGugR0cCMx+UPOeSQNsd8iuR BJFbjEdbYPsaLisRpjL8XDdW+nKU0hjGJ8a5i9uj4eWOG/UgkxOOqr3zlK9P3v//9jY+1AnRXeSzleDw//OEPfyheK8X6mLz05JNPTltssUWxLOqjmNk5/P73v3/e2HvViOTAFVdcUbRTP/jBDxY30wH6WnTmiV7u8WTmrrvuWty8ztVz0VkpJneKbaNMdASK XqdRJurGGMe+p8STA/GUaEwcGm3VzojOSjFcSzypFL+LYZ+AvlRTydOokOOuVgy4H4mB aGRGAjUe3W9rXJOo1FtXnNH1P+7WR/Kyskz0QogvgtYRyYSe6hUaCYvouRCPE0SjubIXRPR0MKM00FXx eGf0FPjCF75QPIYfvTcjSRA9OVvXc2VRN7Z+nCnqu0gchMqx9+ KmTowD2LpujIh6q1qRrI3Gd+wzGr6R7I0G+pvf/OZikr33vOc9fdYTFmgc0TMqbgRdcMEFRTurPP5pDAMSKuu5smg jxhNNrcUNnBjfPurTaL+FaBtGGzFXN0absiORHIje9fFznXLKK cUNfoDeFnVYdOyJm9Nx4yY6FcUYpq961auKm9iV9VylSEpG/VYphg/Zfvvti/q0cpz98jiprSNuXnU0NFTU2zGMVPQc/exnP1u0WTsSwz598YtfLJ4O+PznP18kdAH6Uk0kT6PyjkevYha +SAx85StfSTfccMPzxj+tFzE4d/we5ZlWy70g4neKCQEiEVHupQrQkZiBNBq9UX9EsjRuMFWOf1rr 4qZY9DodMmRI0eiNQf6jsRxjC0ZCOB5njYZ8NKJzTxcA5MQj99 GLfcKECUViMsbNrxz/tL9F4jSGLIlx8KMNqHc90BcicTl9+vT06le/ungEP8bNj8fc2xrntK/FDfsYJiV6vsYN9EjodiQSp9EjNobzi56nMW5rJGoB+lJNJE+jZ 2bcdYoxp2Km+ui5GbM4R+/NiGh89oTcuKrlxG30VOhN8dhqPJ7aVg9agNZisqhImMZNl+hVF YmBWBa9TaPuimRkT6icQb91VI7R1x0PPPBAuuqqq4ohA1qPTRU 3l97xjncUjfvYpi+HEgDqV7Sjvv3tbxdP80ycOLHoyR43piNxG utuvfXW0pbVyY2rWo5oU+bEurgxFDP5v+IVrygmyiv3+K8UvVC jB2z8vJW9uSqVh56KHmMAnRHjmZ5++ulFb9GYc+Phhx8u6saYF +TBBx8setj3hNhH63oxIsZbLXciai2GUonH7eN6OHrFxpNUHYk 2b0x09YMf/KBItkbPVr34gf5QE8nTuGiPyZbikdQY+yR6bkaDta2Ktxa9/OUvLxrBMTZrfHEAVCsavJEwjV5VMWbe/vvvXzw+VTljc62LxEB5/Oec6DlQnhRFr3ygM6JHe9xUipsyl112WdGT/cUvfnExhmnclOkvkQSNCVc+8IEPpNe+9rVFgjcmMM2JNu4OO+x Q9AbLjVsdvbJi0pZ4NLW3b/ADjSHqjZgVP8ZxjptKp556anrZy15W1I39mXCMa+Oos8s3nSJx GvOVdCQmF43xqWOYlEjKxhAEEqdAf+nTFmZUnOXZ7ysrvvKYVP FIU+su+FGmHnpqRuM4GvHRQyH3WERU/pEkji8zjWCgtVzdWE48brXVVi8Y27le6sYYdzXqvXiiIOrB1uL xsmjox82nuAkFUCkSpc8880xRN5YTo5GkjLZjjM+XGyuvP+rGG M/+q1/9atGrKoZwigv9mHSlLTGRXyQPYrznqB9b33iPtmQkG+LJgKhDA SpFojSeRoq6cdCgQcWyctswhkjabLPNimWVYn1bPd17S+wvJjB 997vfnXbcccciERpDCnQkeqkeccQR6c477yzKxBNY/XlzDKDPaqBo5MY4fZdffnkxtslrXvOa0ppUPMoZF85RsUYjMir 22D7GwYvZmWPCqFoXv0OMvxIN3RiD66677iq+LCJibJeYbT8ax 4cddpjkKbBRuY6Ix5GiHoye92WRGIj6sjzOablOiR6pMbFePI5 V66Kh/KY3van4HT75yU8W9XrU71HP/9///V+aNm1a0TsrJmWJJAFA2dNPP51+9KMfFe2nmES0nCgt35SJGy/xiGp5cpLYPnrpxyPzfSn2H8NPxdjN0d6LJGoM19SRGBYlIsYn/O///u+0evXqom6MOj6GbImnsqJuzCVBgOYVY4BGL/cYyzR6p5dvsMRNmUicRt0R19Xl2fFj+2iHxcz20Q7rK5HIPe+8 84pH7Q8//PDimr6t3viV4no6to/2YiROyxP3AfSnXk2eVs7CF5OF7LPPPkUD+P3vf//zLpL32muv4pGrqNRjXNC4qxTbxyNP0VMpJkrpa1Fpl3/2XXbZpfgSigv8mKU1lrWeoT+WxYzRH//4x4sJUGIMrrgLGBHlYzy/mHE1toltgeYVDcFy/VKuI6L+i3ow6sOyqCejvox6M8aFKtcp0UNz1qxZ6S1veUtpy75 TOTN/9Ij95S9/WUT8O5bFutimLB4Vi++CSBBEQz7q9ajfo56Px2wjyTBp0qQieR DbAs2rsn6JiARkJBHjyZ7odRT1Xxg1alTxaHysj0RpuW0W7z/1qU89rx7tCzE+f3nM5hiCqvzz5CLal2WRRIix/uMJg4MPPrh4wiDqxqjjo778l3/5l3TMMceUtgaaVVxzlhOIETF8U9R9UedFXRh1Yog6MurKqDOj7 owbL+XtY3nc0M6Nwdxb4oZQzG0Sddx3v/vdogNR+XdoHdE2LnvkkUeK74No/+65557Z7SM6M7M/QE/p1eRp9Jp63eteV/w7elQdcsgh6aabbkqf/vSnn/doalT4Z599dvrSl7608W7UW9/61uKOWoxlFQnVehC/R/wO8XPHF1z8zvGlduSRRxa/dyQQyl9uQPOKRmzlxX25vouepJV1RNSTn/jEJ4qxoaJnQYgGcUySEgnL+Hc9iCTwzJkz0wUXXJD222+/0tINv3f0QoieY33ZmAdqU9xYicRhtJ1C1B1nnXVW0Suz9YzMcf MoZth/5zvfWbyP9mOM73f33XcXMznXg7j4P/roo4s2YozlV/69o5781re+Vdxc0m4E4qZKDANSvk4u13cxOV1luypEXRmz0kcv 0/K1aNQvv/3tb4uEatzcAaDrBqyP54MAAAAAAHgeoy4DAAAAAGRIngIAAAAA ZEieAgAAAABkSJ4CAAAAAGRIngIAAAAAvEBK/x+isGVL0GnZqgAAAABJRU5ErkJggg==" ><span ><span ><strong><a href="https://tools.argaam.com/ar/importexport/prices" target="_blank">المصدر: أدوات أرقام</a></strong></span></span></span></p>

<p dir="RTL" ></p>

<p dir="RTL" ><span ><span ><span >واستحوذت آلات وأجهزة آلية، معدات كهربائية، وأجزاؤها، على 22% من إجمالي واردات المملكة العربية السعودية في سبتمبر الماضي، وبقيمة 13.1 مليار ريال، ثم قسم عربات، وطائرات وبواخر، ومعدات نقل مماثلة بنحو 18<span dir="LTR">%</span></span></span></span></p>

<p dir="RTL" ></p>

<p dir="RTL" ><span ><span ><span ><strong>ويوضح الجدول التالي تفاصيل الواردات خلال شهر سبتمبر 2023 حسب الأقسام:</strong></span></span></span></p>

<p dir="RTL" ></p>

<table align="center" border="0" cellpadding="0" cellspacing="0" dir="rtl" width="100%">
<tbody>
<tr >
<td colspan="5" >
<p dir="RTL" ><span ><span ><span ><strong><span >الواردات خلال شهر سبتمبر 2023 حسب الأقسام (مليون ريال)</span></strong></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >القسم</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span >سبتمبر 2022</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span >سبتمبر 2023</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span >قيمة التغير</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span >نسبة التغير</span></strong></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >آلات وأجهزة آلية، معدات كهربائية، أجزاؤها</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >12148.2</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >13068.4</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >920.2 +</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 8 +</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >عربات، طائرات، بواخر، ومعدات نقل مماثلة</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >9471.4</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >10744.9</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >1273.5 +</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 13 +</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >معادن عادية ومصنوعاتها</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >5724.2</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >5373.4</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(350.9)</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(% 6)</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >منتجات الصناعات الكيماوية وما يتصل بها</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >5577.5</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >5240.8</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(336.7)</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(% 6)</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >المنتجات المعدنية</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >4852.6</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >5063.0</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >210.4 +</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 4 +</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >منتجات صناعة الأغذية، مشروبات، سوائل كحولية وخل، تبغ وأبدال تبغ مصنعة</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2950.6</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2709.5</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(241.1)</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(% 8)</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >لؤلؤ طبيعي أو مستنبت، أحجار كريمة أو شبه كريمة وغيرها</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2554.1</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2695.6</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >141.5 +</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 6 +</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >منتجات نباتية</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >4827.3</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2563.1</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(2264.2)</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(% 47)</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >لدائن ومصنوعاتها، مطاط ومصنوعاته</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2136.9</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2037.8</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(99.1)</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(% 5)</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >مواد نسـجية ومصنوعات من هذه المواد</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2176.6</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >1912.1</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(264.5)</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(% 12)</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >أخرى</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >9039.1</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >8679.7</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(359.4)</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >(% 4)</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >الإجمالي</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span dir="LTR"><span >61458.6</span></span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span dir="LTR"><span >60088.2</span></span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span dir="LTR"><span >(1370.4)</span></span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span dir="LTR"><span >(% 2)</span></span></strong></span></span></span></p>
</td>
</tr>
</tbody>
</table>

<p ></p>

<p dir="RTL" ><span ><span ><span >واستحوذت الصين على <span dir="LTR">21</span>% من إجمالي واردات السعودية في سبتمبر 2023، وبقيمة 12.3 مليار ريال، تلتها الولايات المتحدة الأمريكية بقيمة 5.23 مليار ريال، ثم الإمارات ثالثا بقيمة 4 مليارات ريال<span dir="LTR">.</span></span></span></span></p>

<p dir="RTL" ></p>

<p dir="RTL" ><span ><span ><span ><span >وشكلت أهم 10 دول تم الاستيراد منها نحو 62% من إجمالي الواردات ما يعادل 37.4 مليار ريال، <strong>كما يوضح الجدول التالي:</strong></span></span></span></span></p>

<p dir="RTL" ></p>

<table align="center" border="0" cellpadding="0" cellspacing="0" dir="rtl" width="100%">
<tbody>
<tr >
<td colspan="3" >
<p dir="RTL" ><span ><span ><span ><strong><span >أهم 10 دول تم الاستيراد منها خلال شهر سبتمبر 2023 (مليار ريال)</span></strong></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >الدول</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span >القيمة</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span >النسبة من إجمالي الواردات</span></strong></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >الصين</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >12.33</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 20.5</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >الولايات المتحدة الأمريكية</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >5.23</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 8.7</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >الإمارات العربية المتحدة</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >4.00</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 6.7</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >الهند</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >3.48</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 5.8</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >مصر</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2.39</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 4.0</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >ألمانيا</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2.32</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 3.9</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >اليابان</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >2.24</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 3.7</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >سويسرا</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >1.99</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 3.3</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >كوريا الجنوبية</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >1.92</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 3.2</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >إيطاليا</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >1.52</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 2.5</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >بقية الدول</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >22.66</span></span></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><span dir="LTR"><span >% 37.7</span></span></span></span></span></p>
</td>
</tr>
<tr >
<td >
<p dir="RTL" ><span ><span ><span ><strong><span >الإجمالي</span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span dir="LTR"><span >60.09</span></span></strong></span></span></span></p>
</td>
<td >
<p align="center" dir="RTL" ><span ><span ><span ><strong><span dir="LTR"><span >% 100.0</span></span></strong></span></span></span></p>
</td>
</tr>
</tbody>
</table>

<p ></p>

<p ><span ><a href="https://tools.argaam.com/ar/importexport/prices" target="_blank"><span ><span ><span ><span ><span ><strong >التفاصيل والبيانات التاريخية للواردات</strong></span></span></span></span></span></a></span></p>
‏

المصدر...