<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="cs">
<Esri>
<CreaDate>20210318</CreaDate>
<CreaTime>13145100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<scaleRange>
<minScale>500000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>VPR_Urbanisticke_hodnoty_rastr</resTitle>
</idCitation>
<idPurp>Druhé plátno vize prostorového rozvoje, urbanistické hodnoty. Rastrová publikace určená k rychlému nahlížení.</idPurp>
<idCredit>MAPPA Ostrava</idCredit>
<searchKeys>
<keyword>MAPPA</keyword>
<keyword>Ostrava</keyword>
<keyword>Vize</keyword>
<keyword>Urbanismus</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Vize prostorového rozvoje byla tvořena v měřítku 1:15 000, přibližně v tomto měřítku je tedy nejvhodnější ji dále používat.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<idAbs/>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20210408</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAAUCADIASwEASIAAhEBAxEBBCIA/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADgQBAAIRAxEEAAA/APf6KKKAPf6KKKYzqiFmOFUZJ9qyILt2vxKxIil+QITnb6H6mtk5wcda5dJ48R20pYMUJHHTGAc0AFFFFdMWCqWJwAMkmq8F7FcEKodWI3BXUgkVUhuRd6dcQyuoYIwZj6EHmoEeTEF0gwwG4qfQjpQAUUUVu0VWtrqO6j3IcEdVPUVZoAKKKKKKKKACiiiiiiigAooooooooAKKKKKKKKACiiiiiiigAooooqN3WNC7sFUDJYnAAqK5u47ZTu+Z8ZCL1Nc9qa3d7bvM7iI7T5WeVU9jjvzQCQUUUVItxv3cDLMSHbqRnjP4VJHcMFjFpL8x64OVP4VlWvn22mxnUnhebkO8QIVvTg+2KYk7QRn7MFhiUNhdnpScrGkadwooorcku57pxHJsUIQSFz8xqx5hhmKEgELnpWEt5NE6s2Dgcjp05rSguI7y6dwwCqAcH9KE7kOLQUUUVcZgYhN1Ck5A4J+lYI137ZqklmkZ/do26Rjgggela8s0cQczSIpYcd+e3FYtpEbe4dwjTSyuHmkddu4DsB2FaRtZtmcr3SQUUUV2FuoS2jUdAoqaqS6hA0aOrE7uwHIx1zVpHWRQyMGU9wc1BYUUUU6is3Vb97G1llii8xo03t6Af5Fc5oPiHVNXv7hQkPlLHuAI6HoKtU205diHNKSiFFFFdBZa5Z31/cWURYTQMVIYYBwcHFa1YVppFvbQFNzNM8pmaQcHfn+QrVtZWkgDOPmBIJ9cd6mVr6Dje2oUUUVYooopFBRRRRRRRQAUUUUUUUUAFFFFFULq6kRvKgVWkxk7jwo9fc+3tVxmCKWY4AGSax4WMzuzD5nbcc/pQAUUUUjPMQGNxMzHph8Z/AUxLRyCRnLMSxYDJJOSamYeRM8kcZKL1Hb6ik86Z+Qq7cZyDQAUUUVBc2GYGXevQ9eOfwrlNA8UX15rWsWNxb/6HZS7I5NhDZ9OTgjHpXXeS104GdoHf1qtJarGSEAJY84FA1bqFFFFWYHUy2bAgEuRnOMrtPB/z2rdrmXiJQK52xgjcvp7/nUskV75SxWzLLCCDhnKnB68+1AJXdgooorc8+Lfs8xN3XG6pC6jqwH41zCz2WRHcQbCMduMnvVxbWFgHQrJH2bOSKLg0FFFFa4uImm8kSKZMbtoPOKkJAGSQB71npAkEYlt4xvBzxxn2qO6kXULWW0VHWQ43qwwUHXP+FAgooorWrK1O5ngRY4HVJHViGZc9McD8/ercM6mwjuJGwPLDMce3Nct4t8S/wBmwWlxZafPf4ciRY42yi469KFqAUUUVJoE2u2MDN4gmimaSQkmPJ2L27D27V1UMyTwrJGcowyDXM2+p/2tpqXsUUkAmXISZcFfqKks7q7tYASFkdhl1Awob1FOW4or3b3CiiiunzWbqGoC3QJCQ0rjg9Qo9TWXKZfLBkkkDvksynGaiSMKAUj28dAKQwooop8L4lYyMzswyzE8mq1ze7Nsf3zn5I84z6c9hWvZ2bSHzJAFAPygjrVfU7eBpgNoaYYKCNRn6H2ot2Gmr6hRRRXLazrFto9ubm/dmO/CRpjk56AE88VfiuUu7YM2VWVGZPUdCKmlsQsxnk01iXxhWcEDGemeh5qsZrG1lCSqkU9y+1fPmABPAwo49uKnkbNHNKzuFFFFV5LprdmWXMkm47VTksT0x2q3p8i3N7LavPGl0vL28Eo3KMDhj+XStGy0uKCaPKrvfLMWXlsf0qoNDtbTxLdarDujuJECFQOGOF/wFVFKJM58/QKKKK2bfSo4xyMdzsHP59TTWaO0j3MgU56t+nHWrsM7PGCAQD1zVaaENdJKxMkQPIxkj8Kd+5nbsFFFFUyjEFovl3DO7+I+3PSk0fU82/mBSsZciSPOdh7kGi8s45b5JxIyiP7sQbAJz3p0ENuu8IpXcSzY6Amm7WEr3CiiiuZ8ReIbmW9uLe2nAt3G1gAOfbPXp+pNS+B4oDqcsrzFZVTCRhsbweuR3xVnVvCq3DJc27rCZCTJv+79RVvRtDtNMlhulmeW5QHO04Rs/WupzgqXKjl5J+1uwooorqYwAWOMEniktWCJ9nJ+ePjB7jsahwZY9u7Pb5Tz/wDWquqSwanaorYj8pwwfOT93AB7niuM7AooorZooooAKKKKKKKKACiiiiiiigAoooqpfyiKylJHUbR75rLikRJAhPBxgn0p93ci9kEcany4z824YO70/Cuc1nWbfSbiGKSQmSdkjjjQbmYk4yB6DPJ7UhhRRRXULcxhmBXCk9aVXjgfagBik5X2PcfSqWlqn9nJFmRymeZGLHknuanmiCqiqPlyMH8elMQUUUVbZliXf5ZPrWeXJk3DAGcLxUt21yExblflb+PofYnt9ahjBmhRjF5blSTGcfL60AFFFFWQm4Auo5OCTzUUMnkmNcluoJHXg1X80xABWKjcPvelXJohGzP/ABddy9GoAKKKKkeDzkcsOWXAFcrpGnX/AIZ1G9l1G9e5tbjDQgucRnONvJwM5GMV032oL82JG9AKjuWS9iaOe3Lx4zzz+OKaYNXCiiinWWrQXQWWNW2uNyEjqOOcYq/A5kaWQYOePTtVKxtrR1QeSEk2hsDPAPT+dWLxhZ2zGInezbUX1NIAoooqnFdGXTmgWNySSCxIxy31qESrEcfxbadHBJFEu8YReo9feklgBg88sFIPQnrQCCiiipF8uZWMakH+6TxWJr94ujWkmoSpIY4huKLxke1bsIWMoFwQw6mpbq0FztjZUxjksu4Y9MUBtsFFFFZulX8eq6PHquHVHQNtfGQD0H1q+kFxPx5zWykZCxqp/MkHNJcrEr21pFsUM+XCADAUen121LJJGsARrhG4C8t1xVbE7hRRRUcsFyqHZqEj7D8/3QR+IGP0qBZVtpDHFGZGc8ljnd7n1oAkRPLiXmZtzuwIDH8s9qYSEch3ZZD8u4DNK47BRRRUjRt5JeQsYyMY54/DuPrWDrdjHqdtv+yLNfWStLZorMi7+CCQCM8gcGtZ5djMg8wlgWJ2ls4pBbPbJBc3IKYyXVepH0/ClzNO6BxUlZhRRRRos+o3mk281/HFBfLu3RqOAPTqe1WRMqq8oUmVjzkZ2Hgf0qK7mEvMe4IefT+VEci+XLHwZG2uCDxjaB/Q09wSsFFFFT29w63D7yGVsE4GKdPIu9XhJBx8xHH4VXhkMFwDGmTtIPOKW5g+2ICyMquBkIcc/WkMKKKKuQ3QIXzEVyeOOp/Oo5byMzPGtnKgQDEpHBz2HNMVTCwRlwV5wTzUoiFw2C3HXA7mgAoooqGS4dkZmBHycBT0qnpt9Ffxn7MUk2uQxTnn3q5II4d8Rw5K4BP8NYHhXToNKlMNnIsqSO7O0fRjnnjtRoOz+QUUUV00SuzFXGCD9cVJMpjaICQsBMmVbnPOOv1OfwqRIyJjIc/MAPpioDufUIYQ24M3mMe+F5/nt/OgQUUUVsUUUUAFFFFFFFFABRRRRRRRQAUUUVztlErxKm4qi8cnoBWTq/h2xvNXgvSC8lsMxHceDnmtGRDa3MlurExoePXB5wT3xTl8uSX95JtPTigAoooo0qV4h5DR4HPNajBXKAc/xVD9jV4w8TAN1G3oabDKY5j5i8Z2nPoP/r5pJWGwooopySeVHJG/PU/Wql7bTukRgnaKNTnIUHd7HParU7RNOYY45N/l7w235cZxjNZctxc2cDtdsbiMucCJMbU7Z+nc0NlRi7+YUUUVHbzPJbqbqNI5+dw3BsYP+FPhkuDLKHCtDuHl7Cc475rPsrnTNTeQ215Dcuoy4jkBKg9P5d6oBb5/F0Rs7uZNOhGyZHjYhmx67cenORSs2JpLQKKKK6aOERtKxlYmVgdrkYXAxhfyz9altyw6Ju5+UD+E+tUdStpbpUMEgjuI2ykoXcAeh4zg8ZH41agkiQO0ylyDtww4/wD1U0n3JCiiirtvFPbRSDLPvbcCQBj2ob/SLsq54iTdj/aP/wBYfrUUWrPPetAIAscXDNvyc4yOKltsSX0zKOqAjd+OapAwoooqRlMZ+UAkjpXI+Jv7WfULNdOuFiCv++j9V44H6100E7Ox3HL527SKfNaNKVbapcdCOtCdgauFFFFVbZ2MUSsDvB5z2q3NfKkYIfap4GOSx9qr3C/ZpBEg3zyH1OPx9v8APerEFtDZp5rrmQ9Wb3Pp2oS7iv2CiiiqVraFbmS4miLSTHKoecCtFkht5MlAecqmOlRS3m6Ty1QM5OCuSCB60rpJ54YHIYdzkUN3BKwUUUU+SOW6QtnDjovQCoIFcXCSFB5bcc88ira2hxvmkYjHKr8o/H1qK5lIVkQDaoG1c479aQwoooqnrEWpCzdtMuLSG9c8tL0A9B7+9eY6lq3iaHxWIHaafapDQxjcpBGCf5V6SZriRRtcKuOwP54pyRKls9yfnYN8zheTx39RWVSm57Ox3YTFwoX54KWlgooorJsPLuYhdNcSIHj2eVxhSfUYzmrf7qKJmExiaFSdpPylazdI1i31GS8aGze2WFyrGQAeYRxuH5VWt9WS7dbB3nW4eeT94Co2BfmwCvUYIHNO/LuZ06Uptr+rBRRRWv8AbAbY3RVyR/CgyfTiiDULiO9livNiR/fikDYGCcAHP8VVSkkN5DOZRFE5OQzEZZiNox3/ADqvrMGqrZWjWMFvfXPmATmVdqlfUAsMH86pXbsZSjGMUwooorphP5qhXHzDkHHOKhhvk3yBA+6E7QNvU+1QK93Hc2xHlCI7vO3A5Axxt7deuaU7vPSQSuAucqoGH+uRn8sVRndBRRRUkko+V5TjkBsn9KngMUUwmjABClVAHHNUrnZJCwZGI4O1epxUke4ZIx9DTEmwoooq6k85nBd1c54AGMCrVgPMuJrnACMAifhnJ/H+lZL7iH24U4OOOldBZFWsoSgwpQYGMUgCiiirNFFFABRRRRRRRQAUUUUUUUUAFFFFYtrp6XDSzTCTcznG4bT2yf6fhWklnbom1YI8e6g5qxRQAUUUVVNpF1RTGf8AYOP06VlsrmFQSxkThwVxg1vVzjaolpbPNdyRYkO5pCcAHHT8AKACiiirn2tigBQA8AGlu02gnAxjkVWjuIZ7RZYiMOMqw6MKztQ1aK3jVZ7hYyRtVM8sc4AoAKKKK469ew8D6hcahbWc0wvZlD7Oirk5x26mt6y8QxXTCfyWEZjDAKwJAPdlHI571mXtxJeXUmmpttZTIjBFYSbosfNnI+Xrj8RVY2sGn+Kxcx741aHEr9QFHTGcjHGP5YrnqVWnY9GGHg43Wt1sFFFFWodHvLiyuhp2rXSNLOszSP8AMoHJ2Ic9OcVoadFq6a1cXN1cj7CV2xW5ILDp83481Q0r7RqN/dXlu0UUsV4ULshQCLr9wHDHBA3H+mK3VkgtrmSe5t1iMjLEJc53+mR25NXTxDaszlr0FGo/KwUUUVU1/V4tFhNxhftLKfLjHBlf0qxoeoagbCG71JIorgEERxv1BIz1GehFP1PSbLUkja4iWUwv5kbNzg1Y0y0hluIZZV4RcIwPc+taX7GVtAooorZieyllDbXilfswxk/yqxJi3U7geT1H+PaqV3OVguXMQl8tf9WF5bHoe9U7HX7Wa6OnLIxuTEJhAxzJGhAPOfrVWuReyuFFFFSxSrJqBnfONvHtk4/pWhktICHB5+7n8qyorKR5iHYw/IGBViN3J647U9I7jbKn2loVYAIRHuZD3OTnd+NEhxV92FFFFVf7XgfWrzR4ZN+oJGZPLZSBjjGWx05FbFpEy7XmfcV5VRVNra3e4e4sYYFvyoWS78ld+3jPP4dPaoJ0mtUaIyyvs5ZpDy2e/AodrXQle9mFFFFWb2G7vNSTzLsJZLgiKL7zN6GojIDK8YUDGd3zc/jVCGSBYZAZDErKC371genUHORWYlxfX2szW/2hotLMe2CSMgtKwALHeefx5zzS5rj5eXUKKKKt2TzTXtzHJLPvVXO2QgBAWO35QMdBkHOfWtK0kMcDW0k3nJKm1ih5z/SnC5jRY7dxveckIUB6Y7msu4ltdNkdp4oIZ55UiR1GXkGflBOMkjJOOcc0h3b3CiiisrxNIbOSwuRq8enxRsFdJMnzFznGB9OtedXepTWWoXGqWNwnlz3DkJG+0jBwDtH+zjkiuw1W0S4mmfY/2u1ZsTSSFlw3KkIc/T2rza4AMziRcsrEsGwTnvzivPrYiSdrH12U5bCqm27u1vvCiiivZrjW/M0SC6jmVJWRH+5v2jucenHWqF/f6td3DS2kDvYRxHdDysjsO645x0riPDy3V3JBJ9lR7eBlSS4XPmRoDuwvOPXoK9X/ALOZ3WRHdRnOe2K6oSc/eex4+Ko08K3S6pvUKKKKm02e6utOgmltzDLKilom6rnt69qsNEA5LAhh1GetWhCsYVS7BRyWQ8ijZHcNI5YhlJOPUVueQwoooquCChc5G04A96hkuo4HQSJIzyHChUJGcE8kDjp3q15Y3Fd3APamDYjlWXcAeuaACiiisy71uzt45ZpZEECEh5FbIUg4I45z7Ve0/U7oNE0Jjn06SLerF8HORgLx0x61ieKtM/tPSZPs9rBLNE2+OOQZBPfv6VY8P20lvpsSyiOOZVVTHH91OM4HJ4pLTc0ajyprcKKKK7K21CK5ZowGSReqsP5etXa5x5VeMSH/AFqEfd6/UVfsbm6uHbLK0acFivzE+mRx+lOxmFFFFalFFFABRRRRRRRQAUUUUUUUUAFFFFFZGq2dtIib4kDSOAWxxjqc/lWvWJqcsxvfLhIDJFwxGRlj3/75H50IAooorJksPsonEFvJhlAXY2QMdMDtUUQgSaWVkjEx43uuTgdOfxrct1kMCh3O/GHKcAn2FULqKGKf/SFHzZbIOOMc/wAqTWo01YKKKK4PxLoUqNfazpVxNBcsrefjncoXJC9weBWTo+sNqmqy2M1pdwQSj5S0ZcjkE7sg8HH3jgV6d9gtryI7IH2SdCRnAxg5rnda8HWl7ciOOW4tkRBueEFAR0x6Gs6kOeyZ1UKygnq9goooq/BElpq5kghkkN3Gpk2sMLtIXdyRxg9B+tX7pbR1eWaWH/Rl3tvYDYMdTzxx60uk6HDp1svlzyy/JtXzOqp2UY+gqxPBBJFJBKu0uPmOOSOwNKFK0ddyKs4yno9AooorHgkuYxIhKSxMd0eAR8p7Zzz9fetKRZRbxLGXj8shgF/iHoabZWMhlGWIiTGAf5VcuR+83F+gz1xVRjYKzTdohRRRUragBbfMFYgZOzkj2A70R2NnHei6SGNbqSPY02PmCemfTpWAupW97qFtBFFdMkzFvtEK4QAep/CteZJoCS8igydSw5A9KqMmzGdNx3CiiirNxKI4ZZmO4HCL7gHmrcF+ksWQmCAc+xrIuGmuES3hZWQAj5QSBWxFA8cDR+Wg3DqD1qritZBRRRSqItPthI3HQlj3JOP61RvZTM6sEIUjHNJDLPeWqi9WJGVvlROc46c1mwXTXkrMY5wjchmQqOuMeuaVwaswooormPEel239orPetmxkt/KLvhRC2f72R1ye3ao9K1qz0jTYrWSPzYLYkwywYfzQTztGSc46j2rr77SBd27xSFl43ABvmAqna6FHHqEkgsIlVUVhLkZL+y/w9ByOtQ1K+h0wqU1H39QooorzuLWvE9y09ppTKkdx5jWvKCTYGx8pPQ8gZroNVvtSj0uza600XGpW0qOttFKZHcBSPMIAJxk4z05611kV/E9u8kpERjdo5AxHBBx/h+dY93puqy3FzMJkt0liwZ0lfCAMuODwDt38gU3o+aWpOktILlT+YUUUVz2ntcTxXN9faVdW10YpBLFEDmUheSAw4qlceAo5rSC+t7xre0liEjC4jLMpI9sflXbwW8V+szQpLbXg+VZx98r689qswWF3I6R3lyskVsQN2D+8f1b6c/jXJyRqzukejTxlbDRsqjvazQUUUVz+mtbeFI/MuYVs4ZgiI2CSWx/dGSCcZ59abB4gu49MvbC6S6jntACl0pI+0En7qgqcenGa7ifS7C7t1hu4Le4jDblLgHafXnvVG60O2mims7y3FxBKu0oc8jr2rsUUlZHmTrObcmFFFFLYXM95DFM8KxwSQhhubLhu4I6VMb5SFEPABIkLHr24pbOzgtLRLS3h8mAKVTbnH61A1usUxRMkA8k8c5zRqiG4y12Ciiir0RZgsjDYhJOT3qK4RTL8gbaecntViFx5TxyAEMvfsaJrj9y20jJXAyM81RAUUUVTMahCOxOOlVrdAk0wX5toB/CrgZjvjUE+4qERsl39zII5P4Ef4UmNMKKKKsQ5DAAA55rW0wg2gAGCJHBH/Aj/APWrPt4nZH2jIXgE9c1d0hHWGcv0aU4/AAH9QaYgooorSooooAKKKKKKKKACiiiiiiigAoooqCedLePe/wBAB1J9BVJImO53Hzudzex9PwGB+FS3qSl4XjRnCk5UY/rSQyrKCQSCDhgRgj60AFFFFM2SFGWM7WPQ46Uy50uG6mUsWJ43Z7gdjVqQhACg+ZunvTBL5QwCSx68daACiiipiiRKFUAKBgCmFogeeR6AVEscs5JZtozTvI2jD/Nzx7UAFFFFUdRiuyEfTTDHIJBvEmSCueeB3x0rJ1G5uYfmigZ3B6bgC3tk8CupEYyoB6dailtbdx83B7kd6THFpPVBRRRXI6h4ii0LTHu5w5T0UgtnOO5FJ4VS7a0d7++F48reYmR8wQgYHP41a1bS7S7lmtmgWZli8xRLERECD/eHGc9qlsrVPskTTRyRkqvzxnIBFF3sU+W2gUUUVoW0UccO62iO523FSeuP/r1YugryAcEBWJ44zg/41VFu0qJIkjRqJAF28Egdj7Gr3lKlxErndvDfy/8ArU0Swoooqvo0X+itKSysWIyORj6VYnuWWQwkqQBlnHGBWde6fqkepWVxZ6gtvp8GTcW+3mTr0P5VMLs3C3MhAQthVO3OR6/rQtBMKKKKns9jB2BUgMQoJrIkuro6khuUKFc+TbL0yP4ieO/StOylNvBslkV2c9U45+lTz+WbfJTeoXncAelABRRRXKA6g/iECTImBAfaSQq49fxqfW9IvbvU7e8bVJra3tHEpjiHEnI4PzDjjHTvWgI52uVltzEmcZVlJB55Oc9xxWXqSTXB1G3uEM7QxkxQ+aVU5XIHHfPHNTKpyamlOkqrs2FFFFQSX+h3GpyzzW/muo2rII94YHkgYHr61z/i7xncQTWtnYxqhMgeSK4IUso5HGcAfj+FO03Vf7Z0hbuJRbXKzGPykUsp6HgduKdd6Na3YlvbvSbiVhkMiDg4JxjnOcdulc6q8ztJaHf7B0tbWa0/4KCiiiushmi1eBZ9xinTgPC+SM89v5Vb0u4M2iW0zkMzHL9juyQTWdo1vPFZp9ngaGNFJzOgULgenUmtaxs2tdES3fqF3Z6ZJ5qqMWm2ctZq1goooqzeLGJl2IpBU7sAUFnQqrK2OGAU8n8c02E+cI5JAwGAcqDz7VJcyuG8wAxswwMj7o9a6DmCiiih4vLiwzKEUEqCDn881WlUxbZIwGzz7j/GlSRoixZy4PJV+4pI7i3urZZ4InRvmQhlYEc46HntQAUUUVBGS5MmTznGePwpWU+aNhyV+8F6CsK1s77T9S1C6ub1p7ac/uoSCPK5P/6q2rEuo85djBmO5c4IH0o2dgsFFFFSI+DtaMhW/iHX8KnMXlylgcgfdGeTQjmYbpB0PpjNOIVpigK7iM89fpQAUUUVYMm23V4ghY4BGTnP0x1q1YxyR2qedgSElmA7EknH61kwtsvLcfMSZBkH6GuhoAKKKKKKKKACiiiiiiigAooooooooAKKKKKrTWsM5yyfMOAykqfzFWaKACiiisq5tFQx/vpjIzBVJfGAOT0x2FEsexx5fUHrinzNI9wZI+RH8gGM5J6miTzlbAliZifuhD/jQAUUUVUluL0W8jRrvZV4XdtyfrVmJ53fzCx+XqPWhvtP3MQkcAgZBNTJ5oG1Yowuf7+P6UAFFFFShvM/2cHkZ5zTXMS8kZaoXmkRyWjBGccN/wDWqM3Bb7qRL77if6UAFFFFFwGZcBVA6+9Z/wBujmMltbhzLA4UsR8oJ/nVyfzsgvISr8fKMY9araZKWvbu3js2WNWDGfHDP3H/AOqqir3Jk7WCiiirFtG9q4MgzCeMqT8ppL5pTK0sfKRgFTkjae/HfNX5CFjIIypA+X3rPnuUAksTIhuXAOzcN20nG7Hp8p/KlHcctgooopZbm4V3hEqsQPvBfX25rA+0FNVk2h3yg8zEmRGR0G3PBPPQdq1PtFtbO4uCQ0hwuATy3TkVSubZZriGRYJGIlVg8bKM8dWORkD8ambsOIUUUUyO/gv5J7VbmW3licFiNoY4weM54PTp61aa+aITTXKCK3iTd5nmHnjnI7VmjR0h1p7gRL5RjP75T824nkHJ5z244x71YjfzJpLbUIf+Jd5X724dwF542nNSpPqjWUI/Yf3hRRRVK51sXfkNpV0rg5beE3KwztIB9QeapWdtcWerSSiWS5vLziRrh8+WoHGABgCp7PTtK05L+2s3DyWWM7eFjJG8D8jVuWV4bx7mCJZkuAG3BwoUjuT6YrGp8er0OqjdQtbv8wooornpNGTw4kT20sskk0rfdcJGhxy/lgfMa7jRLQSWcL3bCViCrLyFZs9dvT864ey1IXGt3i2GnkzJFvmM0h8sHr8uM9Sx5xXb6XdSC28kAHy2+YpzjPOPetowSZjWrSlpJ3/QKKKK1b3BhEKAAysF/Dv+lRXbeaQkbKGHCjHQetRJIbq6e4XmGEbUHTJ7n+lY8e5taa//AHhmbEXyv8uwDOMfWremhzLXUKKKK2baR47FmmKPNF8rBFwD9M80yWQXLlyCpC5BJ4wKo6jcSR6fPsniglkGyN5DhRI3CZ/Eil0ew1OHS1h1x4prxtweSP7pGeMcDtTtoDld7BRRRV2KZHXYSsnYAjNTpA5gdYWEblgy7uRjPNQW1utmNzWxVdxBkdwflGce+fb3qaKSGdlFvJGwHUq2e3SlYLhRRRVNUM9q8M4JZCyZVdvr0rl4tK1WLVEv/wC1JGtYdw+yIpG8YPB5wTz6V2M8mZHIciMcBu3viqEEKwO/lQ53MW47570ra3GpaNBRRRTrcSSQpI0bqzKCVY8r7H3qcB5JlVDuY8Ef409PLUSPKyBR71Zg8toP3ZwT14x1piCiiiq0o8ieCRkJdCG2jnNbcciyxq6EFWGQRWTuU8D5io+8eMfnToHexeKMsrJM2CM8hj6UAFFFFbFFFFABRRRRRRRQAUUUUUUUUAFFFFFQzzLBA8rdFGfrU1Z99+9aODscu3PYYx+pH5UAFFFFR2sThTI7YYsTjPrTYysNwFJJPOWJqQTJHFuZhtBxyazrm7iaYlWXaBgZPWgNQooorRlaJHDM3zH3qzGoIBBxxnisCG7S9DPFPHJtbaxQ7gvTjrW/aFvJTeRuxyKACiiigxqF5XPqT1qvKiJINpIB9s81ZklVTtLYPvVN7mKFmkkkAWPnB7k8DigAooopAzblSRMc8Zq1FKsY8uVgCOAcYBFRQhTIWdsA8g4x/OpZNrAsykAkYz/nmgAooooDrIxyeAOCOazrljM0sqg7YgVRhx9T/T8Kt3MkUEZYgfNwvGMe5qrM9utqiwt5ingEHimIKKKKx794xY+ZOoMe8MxcnB7AfmRTHSUW0NvDK67VyZIyufYYPrVqQgeUIoxLCSfMBYfLxkH357VzGmT3lvJJa6pJbSalIzeUYl4MQx/sgVDsXGMm7JBRRRW/A8s5aK6WS3WLY8brICX45Bx79aie/jubeeO2dJUVykg4IyOoPvTNOu5LjUGt5WtEiIIXa5D7gB8uMEHjJzkdBx1p128Ed+ttDJHHP12dm468Uc11oaqnyVEpBRRRVaK4jme4tbWZEc7WmRByM+v1Aq3b6dDY7jex2chllxDI8YJxjIAGMDGKoXlxZ6ZK8088UEhK7xtJyTwOgNS2NxbX0FzbQ3NyksreaC5G5CMZ2hgcD2x3rJcrlqdVRzVJ8uzCiiitnUryYWgjYqQPQAZwanBMNuBFCqzuvC56e/0qt9milkWR4VkZFOGbtk//AFqs2j7rmXeV3YUDdwFX/wDXXQjzpeQUUUVFfwRJpU0TzvDEIjumjbYygck5qHRtLhtYo44JpCqgbS7FycjuSeau6x5U1jJbz5YydPLbA455PBxVhALVY2MbNv7KVGAPqR+lK9x7IKKKKrXenTy3O+G9eJRGU2IgILEj5jx2qzbQJp9v5P2meT5mO+Vsty2cZx0GcD2xSSOkdyk7OkaHjazD52J6Y9T25rAuzNeWctrqFveKlwCsmxFGAe4O0Y/M00J3CiiiuglE8sLRxyjaxIbzFyCPrVC00l7SORP3cTsfvRDAIqnprfZGs9IsGk+zQQYDzYJznqTgZ44/GugCNJGCXICjAxyD+FF7aIVr6sKKKKrRLJCuWJaJ2xuHY9P6VFOxEwMZIOcD0qXLfZjGSQWfJ9B3P8/zpyQpMfmfaCcDHrSGFFFFV2Z3+YptIwMUsYcnh2Luf4j0Hpim6hNcRlDb26SqiEthwrMewXIwc+5FEEp2pIE2yDqrY+X2oAKKKK0rVMxlJPvnk1FKhtJI7gndFG/K+gPGf1ohuI3bI+Vv4h7VSmkmuJpAzkWwwAiDlvcnr1oAKKKK6Oiqdibn7MBdLiQEjOQcjseKuUAFFFFFFFFABRRRRRRRQAUUUUVhaxPc291+5XiSHAPpg8/zFbtZd1CLu+HzACJdoP8AtHkj8gPzoAKKKK5k+fIxCRvubOd3Si40qS7R4HDNHIGXMbEEfiOhrp5LVdoGMsOSwpUtkjCkE/KOCTU8pXMFFFFcp4Q0GPS7y7tYWxbZ8zaeWLcDJP0GK7FmaFwSSw6HA5rnYr6ODUJbu3UPDLuBx9P8RWlFq9tOg82TYxPIPb8ad7bhJ82oUUUVoTsBFuVQxbmoIbe3aZJGjUyRjIYnkZqOO6T5ozKjqOUPtVuKPcAMAoeSMUyQoooqVdr5K4yeM+1RyOqhmZvlU4GDn0/Wmy3Fuu9fM+YcbR6+1RQ2ryOjyqFRDuRM5OfU0AFFFFMklljZpmhBIGEUyAE98fWsua5ha58tpNjyszxo/DEcZ4+p/Wr+pMxsZS6oIUy0jY5AHpXIeHfDy6IsrQajcTw3GGVHCjaemQcZ5GOKbaUWKzugoooqDQrLVrm+1CPVbNYIhP51vLGcbm5GSM+nt3rbuNJjvIZUEzxsRt3D72OlXIorhgNx+8cKB2NaMFm0UxaXGAc5znNZqCktUbutJSvHQKKKKwbTw3Db6jFAIf3VtEJYpwOS3RgT60+fUUt7gW5R/NJZUQqVDsBnGTW8YovPe9kGH8ryhz/CTk/rWdcSNLKslu0XlF8uzDOV9iO9HJFEzqzn8TCiiisq5tobpEEtqPPmA2l49yxEDPzEf5zirsFpEgVvJTz1UhWHXH161z8V9fvr13aW63MNtn7RFeth43O1flwV4Xk9D1FXLzSrnWrebzdVljgmiHlJbblEb8/MGBBcc9DxQuW6uT7STjZMKKKK6O0hKGZWPzbRioXVhcoWAAOFPHUHjH8vypmgac2naWtqbiSfyEC+ZJ95vryas3PBiBYcEFvYZB/pWnUjoFFFFZ81vcHWbaHzI1gDHzFcEkrjgA+taUkbresyXB2q2WX/AOt6Uu5ZrxDPlBGdq7lxuPqMVnXrw2WtTXflGTaoyFl5GT/dPbmpSsU3cKKKKsX9umoeTbytIp8wOvlDB455PaljilW7unW5aWSQERoDkIfSotfeSWKy+zyNBGxLO0bEH6cVRsNTv0u/sqSgo3R5QzAZ7ZJpivpYKKKK0oomsXM0gzcywKCmeNw7Cr0XyyiFUZU2/KQeDUdtG0sQN1GN5GML7ZxUy/uh5jAeWnHAwfrxQAUUUVBCy+fNuYbQdqc/if1P6USISw5CZHU06Bx9sMkLKwk6EdD/APX/AMKbczIhO9s4ySD279KGCCiiipZIWdVx0LdQf1qrNbNEwwRlv1q5a3e+MiTAbPC47YpsqRtIoVczP8igk4B/+sM0BsFFFFVrWzN9FLMG2lQyIM/xepq5Z2UqS+ZcEYX7ig5/E1btbSK0QrGD8x3MT1JqzQAUUUUUUUUAFFFFFFFFABRRRRRRRQAUUUVDNIIYi5BOOgHUnsKpi1ZV5fLklm+p5NPvU/ewSEnAbbjPc96kZPMbqwPc0AFFFFJCc/ISdwqK+WVrOZYseYyFVzxzUphKYKsx9zTDLI/yhct60LuHkFFFFYmlWh+zQ286qrBfnx+tQ6b4Pg0trpxdzzrcStKTIR+764UDHTmt8RLFukwuW5JFTzJmP6Dmm3e/mSla3kFFFFchLLpltcG0mS5mkK8qgwAMHBJyK3NFu4H0kTQq4gjXAHXgcfj0rgdXvCbudY3O92/fOBjPoo9h+uK63wt5DaZEjscd0GQPqfWt50VCFzGFZznYKKKK6G2iKIiMQSQS31JzUzziFDlT8o7dKew3EEY46GsvUEMgjG9l4IwOh+tc50BRRRVe4upJomwCEzk1gPcaZcXEF68TzKgJW5VSVj2E8HHQ5Jxx611drGHQp5YdDweap3dpHYyvLDBI/mfM4j5YkcDH4VMthqwUUUVNZQ+a/BKkDcueCa19u1cYz71TigRRE0ZZSTzntkdKvZx/jVCCiiiszVGVYRGm0sx5BPSsKyH2eKK3cRRt91Y4z8ufQZxmtHUbsRPJM4JXYegzwPaquIj5cgQFk5QleR649KiTv7qGFFFFNvBaLHFJOrpFA2QVUnnoOB16+lLb3UDIEjimijVQRvhaMDkjHIHPHT0pF+1M0MjKifvGBXPJTnGD69DU5VRIka7t7ZK4JOfXmqSSEFFFFVJb+5tLiWGKP5CN3mEj5jkjGKt2xYwfaHlJPO9EXO4dDxUkNtb3cTGbBOCAxOMetN0+3t1Se2gnV0XGH37ufc9+9GqZpLlcdFqFFFFTW8TSP5ayZ2YOGHbt9DV1o4Jp3AEbOPvgD5vx/KqUCG1dS4Xa44IHBp9kjzRM5x5yTsWLEjIxx+GMflVGYUUUVNJDFtWBpGG49cnI/H8qS1trezjW1E4mZRj58M3X/wCvVabR7OaV5L6xDuxyZIyTn60+HTrGMiOxh2E/MWbd8v4GkAUUUVZnkDTradd6MzE+2OP1pjEGcRnawI+ck9amWymVNouz0xkpk/zpktpdIjMlwHI52GP73t1oAKKKKHhij8qBPkUcqQOhrNudNllmYjqQSWGTnI4461e81DLmVGim/hDdPwqSQu53sqsAMBlyCPyoeoLQKKKKxFs3eUiWZE2kFf3oBPH1rZsW+0TPJxtiGxfmzyRknP5U6RQEjWGV0DOF65xmrVvbrboVVmYsclmOSTSSsO9woooqxRRRTEFFFFFFFFABRRRRRRRQAUUUUUUUUAFFFFQTwieIpkqc5DDsai8u7IA3QJj+LBbP4cY/M1cooAKKKKz0MxkaF2Q4AbcvHX27fnVjYEwB1Peo7jfDL56jcmMSDHIHqKeGWRN+4FTzkHjFABRRRTnjUg7s4PpUYUgZ3k+gbvUaXcMrrliEJ+UlSAx+vSp3Us45II5GKACiiivPLrwrqY1NYwm+GVizSITtUZ7k+1dfp1pFaSRRJ54WNSAG+79RmtMMqAsxyepJOBj1qgZBdXytH80cY3Fhgg/T1H+FayqymrMxjTjB3QUUUVfU+X+7OM5yB7VnSSSfbVR0LEN8oWr1+ENsZN2CoyCK5f7dP5oZFwRg9c9axbsbpXCiiiunSJ43LwldretT4OzPGR1IGAa5RdavS6/MuMg47da07LXY57kJcYiwDj0POKXMg5WFFFFa4xJGTuwD36Vjqs0MK28lxJLsJy7nlufUAVJqWqxQQzCLE2ELBI2GWI7CqGn6tp+oah9lt5d86LukjT5ihzghscA57VW4a2CiiitCeGRIS0ULSvhflzz1NMjs5ml2yQNtBHcVsZ/eY7laWVgilz2FLls7iCiiiqC20QefzMtEq45bOMjJrK0+7a3gdkjBTftUBw21cdeSP51tzLtsJd0gjZwSzdlJrHihQRhbNvtXPJDArnvkjpTAKKKK0LKyt49PMSRoiybmfYAOWzk/U1y2j+Hk8M+atrPLNC7tI4lPJ6Yx+VdXbRLHbjYqhjypzzioLpC0uScAjJAFBSk1oFFFFTTPBc26qhwGHGOoqDSZla4ljyCxUbgB0ZTg/wBPyqKyfesluh3IpzyvNXIsWdwXC7YZ2+bj7r9M/jR0JaCiiitSiiigAooooooooAKKKKjliSZCkihlPY1kKJLGVomJ2Z+Qt/GPT61t1BPAtxEY3HB6HuD6igAoooqkkv2u6iSOM7Izud88A9h9a1KihhSCFIoxhUGBUtABRRRRRRRQAUUUUUUUUAFFFFFFFFABRRRRRRRQAUUUUUUUUAFFFFFVJLK3kYs0K5PUrwT9cdaKKACiiinzmNLdhIq+XtxtI4PtimWqGK1jDrhgBnJ70UUAFFFFQXt0qMIPKL+YpHykcf5zTrRI7aISlGVyoDkkn+dFFV0JWrCiiioL1heSpbDOxvvYqKXSktYmeMA4xg9/SiioKQUUUVPDpFuo3yRKWK9Dk4PrVO80i3NwiKdobrjoOlFFOw7sKKKKfcaBCtsfKcrMFJye5rnrXT30LWp7yCERNc5aZjIxLnt8p+XHXpiiipehUXfQKKKK7W3nFwVkX7pT9c0sn7yZYh0HzN/SiiqI6hRRRVTWt39j3IVgPkwcnisnR3tLHTXSG4dt2QTjgNjmiigAooorctUH2YbTjj73U0+VQsDbWZjgdTRRQAUUUVkTH97GY4mWTdtBPGa12jVrcxyYZTweKKKSG9goooptnI2Ghc5aPoT1I7VdoopiCiiiiiiigAooooooooAKKKKKKKKACiiiiiiigAooooooooAKKKKKKKKACiiiv//Z</Data>
</Thumbnail>
</Binary>
</metadata>
