<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240603</CreaDate>
<CreaTime>05423900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>Jal Jeevan Mission</keyword>
<keyword>jal jeevan mission</keyword>
<keyword>jjm</keyword>
<keyword>JJM</keyword>
<keyword>scheme</keyword>
<keyword>Scheme</keyword>
</searchKeys>
<idPurp>This layer includes Asset Geo Tagging, Anandwadi Geo Tagging, Lab Location and Profile, Scheme Information Board Geo Tagging, School Geo Tagging, Storage Structure Geo Tagging, and PWS Source Geo Tagging for the entire state of Meghalaya under the Jal Jeevan Mission Scheme.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Jal Jeevan Mission</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3Is6n
BG76Um7n7jAY61IFC9BTS2yIsewqAGQFTuH8QPNSnAHJqCECRdxGCTk1KUQduaBiLwGduO/4VTj1
nTpl8xLyLA65OP51bkVpY9qvsOeTjORVT+xNN2bPsce3GMYoAl/tOxPS7h56fOKkjuYLjcsMqyFc
A7TnGaptoWmyombVBtwRt475xVm3tbe0DC3hCA9dvegCz0FIACDn1qGQuWTacjPNULy2vL0l7e4a
3KjZgrnPuPzouI0ZVIjJjyD7Gsl7DUYI0VdWkcg/edOoqxBb3FhYRxSTGdw3LkYzzVnIlQh+GUEZ
FK4FCOw1LJ3anIy4wNqDn361qq5VAOWPTJHWliGE25yRUlMYwsw6rn6GowXVnYkGp6hTDCRfemth
PdEtVJrSK6Y+agmTsHHC1YAZlG4jHt3qSkMz20axdw7W6FgNvTtSSWMMKGC2Rommxl07Y9a0aKAM
i2sNQtpcvdiWLOcHqPp+lau9fWnUmBnoKAGvLGikl1H41irqmrKHL6WWAPZx/k1tNGjjDKCPcVmT
atb29y8LQzjbjDouQfpQBXXW9RYRN/ZEmJBnO7pWpYzz3EHmXFv5DZICFsnFPs7hbq1jmUMAwzhx
gj8KnoAKKKaX5IAJoAdTCSeF/OoLyaWK3cxBfOIIjUn7zdhWYNU1SNHL6ScKeMS8n9KANsALkn8z
UYuELbQfxrF/tTVZSqNpm3ccN+8+6M9a2Y4vkAcAj6VaSS1IbbfujTMSxHGPXB5p8Kcb2HzmpQAA
BjilpOWlkCjrdhRRRUliEZFM8v3qSs59c05GKtcqCOoosBeaRFzlunNVJS0roxJ8rcMY71JJ88yK
oG3HBB60TIfsjInVegJ96pAWFAySBxSMc1RtFuvtIeTAhCnjJ68VcPWokIOlBkKgcZNFZt7rK2Vy
I2tZZFwDuQZpIEanOB7/AKUkhKRnAzWL/wAJIrgOLOYxlSwYc5x6VqWV39tgMhieLnG1utUMZbk5
dWPIOR9DVoHauf0puxEbdj5jQOWyVIHakkIr3MkjOEjGSOSDU+wLtwvJNMiQLPIxIJY5qQ5dWKnB
6LTswHBMSF8npin0namCZOeelOwXHOSEJHWmxIFTrknkmg5k6HApyIEXAp9Bbu5nahbXV3JGkFw1
t5Tbt+Mh/aqg0rVmLq2tPtI4xGtbrMqjJIApm+M9GUUrMd0RWUM8FsEuJ/Pkz9/bj9KsA5qMyKDw
wNDS7QMYJPQCizC6JaKhMpA+YYHrTlbcM5OPUUWYXQ/tTUhjjjCKoCjoOtLkgZ6j2rIvbfUrtWls
7trck8RuoOQBj9aQzWKnJKnGaij3hiSwqGEXNvahbicSy5+8FxxUCajbqzJJcJmNtrAn7v1pNgaW
GP8AEPypwG0YqkNTs9istwhDdMHrTf7UseB9pQsRkANVJMV0WpXG7HykrzzTRcLjAViaqR3Ec5Vo
2WRXOMjmr6BUGAMVV4rQhcz1GxR4LOw+Zv0qako6VLd9S0rKwtFJS0hiEZpDkU6mFs8KM+/agBJg
zQsEYqxHBHas82Vo2DJDGzdyU61o7PUk/jS7F/uigDI0ySNCkRlOVyBnofp7VpkbpsHp/Wo5LS2Z
X/cjcR2HOajtX81FRyRLH94HrVeYS1LZ/iFN70oYZ+bjjvS/KMEmoaEMcYHNMitwowq7VJyRmpgN
x3H8BSSSBOMjPvTUQ2HIiou1VCj0FMcHeNrYPQ0w3GAMqRnoaBKmMEkf1quVk86DLPnyl4/vGgLO
V2nA96kiUrGAaeTtGTT5raIFG+rZTaIrnGQR3BpYy5RTs3DHGTVk4ZfTvQgJAJGOOlHO3uCglsU2
mcnB4A7VLG7BM+WSuePapmIQZIzk05WDDIqnUTVrEqm073KpaaQllBA9qVI5XByxGPWrVHTJxS9p
2Qez7sqeS54zu9SecU9rbIHzdPaqM9tqFy7T2t20AJ4jcdMcVDHp+surNJqARjyijnb9fWlzsfs4
l4oyHleOxI6VPFANpLck9xVazs76N/8ASrsTLtIIx37GrWwxqBuOB3Haqc7olQ5WK8ClePx560xV
eE4T5g3OPSmyLuxt3k9+DUnksoGxscd6Nlqwtd6IkjcMgI7daZJKFUcbs+lQmORSRv69cVG6Miny
xufHAB60morrcpOT0tYSd/OIXlQOeKrCztZHLtBGzsMNIVGWPvVeXRFMjMZ5VLncwz3PXmp4YY7K
1YPISgJJdmHy/jUcyWxVn1ZDINIRmhmWBfLOWLgDFQP/AMI/Hv8ALNmpKgYG0Zqw/wDZ0dnJe3KR
yQou55iAcin2kGnahaxXMFvA0LjdGdtS77jtYuaesVtYr5SKseNw2jAOavBgx96gXMUQGFVAMAUJ
Jt528fWkgLNNkUsuAaas6uPl5qJrlvMCKqk/WqbQydQVXmqqvMzjDPgnuvHU/wBKseZlOnP0qsLm
RZ9gUlFGKV0hFoqccucU8AY46VTM7SMMdOw9asB8YFHMFyWiikpjGo4YDDAn61nG4MWrsGjYKy4z
jj61LY2cluwLybgF2/Wn6kiPZvubYcZzj0qkCLfB96guHWFC/AYghfrVbTJmaPY8ikYGwZ5x71an
AZ0UjcOpFFtbCk7GIL3XBCwMMLyN93HGPrV2xbUJEf7RGisW4x6VdAVpF8rt1NSGRVO0Akj0qrpb
EJOW4wQE/fOfwqQRoOdoyKTzkPr+VIZT2Q/jxUuTKUUiQsB1IFRTXEUEXmTOqIO7Gudl8Oxxa8+t
SX12z4LeT5n7scc8VznifWH1C1WCOV4RvKLhvlbgHnK+hFZ1KkYLcbaWp6A93GF+Rt5cZGO9PjLL
GGJ5x9015XoXiy+tmitpCJMgmJmO7aoYjB4HYCvRbK+jvZEHmKZQoLoD0rOnVU9UJO5oo/m5DD8K
k+VFzwAO5rHv/EOlWDtavdR/a9jMkQySSAT1H0rEh16fxFo/mWsqRJHNsuC/BwCD8vXOa0ckijsy
yjGWHPTnrQXVTyRXLQ2emXjk/bbnMOPlaXG3Ocf1/KtW002K0uPNWeaQ7doWR8iqvdXQGoCCcUtR
hyOq/lTw6sOtCYDqKY0gHTn6VG5Y4yRj0ouA8yAHAGaUAtyxx7CqzuVUnOCOn0qrY3t9NLcC5tBb
qr7YTvz5gwDn2qebUVzVCgDFQvLFEdmQG+lE0/lRgnqarEjAMhG/OeabYyTduGeOmfrXBeLbLxFq
WrxW9lbM+n+X1VwAH5zkZ56iu382NVGTgqv4Vnx63Ytdm1FyAxyAMdf8/wBaItptpE2OF/4RjWvD
lsL1NRa7CkCa1jTAdT/eJPOK9B0efzdKt3CLH8v3cdBnHSrLxxyRMjJuUjB96p308GlaVJOoCJEp
2g9z6UOfMtQvZGkZAxwAWNUvtkE0m2KWOQ9MBwTn8K8wvvGd5Hq8N5HtUh/LdGkIUcZ5GOMj8jVG
8kml12GbR7e4tkT98yesnpkE8Z4qWtrEOpFS5XuexQQMituY5Zs8GlkiKEEsSfrWFp3iYarqT6dB
BKssKAzFxjHuB6VrafZTW/mNNctPvbKjGMe1CaNFZ6l8Ox9CB702Q8dPxp33hhR0obJHQYFAiJcM
cfdKmnhwXBzjHeqs8c3zPkALluOpqS3WNTuZmJJ4BpDL4fJxmn5qsX2t061YVhtFUmCBfX1pr7SW
LgbFXnNPJ2rn0qldzk2rEZUHg/T1rRK4N9BLcReabghUBG1AB29alWVPMdj3GBUccSyMF6DaOR3p
/llJtqjPHVq091GV5yfkLFLuTYoK46tVXT7C8s7q8mmv2uIZ33RxlQPLHpnvV7aE6nJP3j604nis
JO7Nk7KyEB5oPOaSq97JJFYzyRkK6oSCe1Tckpa/crZ6RNM/CgYJ749vevINSmS7ubeQS3DhiXSM
yZ2cAAn8sY9q6nVvEyarp8VjJulkPJZFx8wPXPTHNcZ9lRJpXK7Yg7AYAIZ+59BwB+dZPVc69LEy
u9i6+qw22nIFHbcZPKywyx4zn1znjHtWh/bItLOf7DNvZwY43mO141A4zjAIx361gW1g97cC4YOi
zOUR9u1VGckEj61avrIQxG2LLMoBJcSkgd+OfWoi7O8UZRqNXdi28F1fSy6jGnlxtkgOTuZWUjqO
xz1ptm91asAsskNuRl0UArncuTgAH8a17If2bDt1C4kit5iIrWZQHCt2U9iPc9McYqSHWdF024ZL
CFb+8hBEkhJIB68A9eAelaTprkk27fedCslKXcxtWn+0qJoJH8mMBmXlTwTgYB6c59a0NL8X3eni
2FzL5sKpuJJ+ZhuIGPw7U640uz1O0/tb7SvkM5aWHytzgnHryPunisi90u3+zyvZ+W8YOVRlwzIf
u4HTqG7fzrNuULWfyMnz7pnrGleJrHWLue2thKGhA3M64B+layuj5AIOOtebaLHbyeGI4Y7r7FeX
jfKMhHGDgDjnoB9etYLarqmnahdWsdw4lKgSKGIYJ1J5OM9s9av2jjFORSel2exm4QDgrknHWmXV
wtvCXchVXksa8g827toszanP9qVBKI0IdsE5+Ynp6ZPrXWXerag9vY6ejJ9smi3Sl8EAEcfUfT2q
1LmV1uVc61Jhdxxyqf3bDIPqKsoC7q5GQBxmuR8I6xc3dubWZYwkLMnmIvy5B6c/nXT7xI4UOxPr
TVn1BaoS5YSTLk5QHGKzNWvBYX6XM87PbKvMEaZOSMZqfWp59O0u5ubK3We4jXcqHnP9ax9CtLuK
QaiwZ/OgB2zsS4bGcEdvSrsnv0GzojbpONrNlWHK9CQR3rKibSYNcNhDbqt3HH5mSmeM4+937Uuj
QTyahdXlwssbscKDwuPatfYBMXKDJGA2OfzpPTQBsspdHRJBvwRgdQcda8m8TXt2dQOlXWoOyWwW
R3LbVfvjHrz61q+LY7vRvEgvbHUmgkuQZJFY5XAwAMHp3rHnk0+9kY3rXZu5CxWJMMknA6Eg4JGD
+NZN8z5IszmkzO0+xbV76S3RUuRPOCzclSC3Q+49fauu1qWTw/rn2bTlRfPILAjLIuNzFR+Fangf
R3sxJdmGKOycAwKRl19SSaxPFXiWDVWRYVhSERkPKQPMGTgbW7deRWnPypXeiLcYuz7G/aeKrWWG
G4tLGWW5lcQTARhWUf3j7V18TkxZJAA9BXnHg7UbizgktprMOkTrE04GGIJ+Uk9a7mygFmjRxyyS
hn3kuc4zS54v4R3XQuxHJ4zjrzTnYBSB0ApgcIxKjPGKFTOS3U80CHEFyew96UqoYZA/xppY4OBn
mlB5LMM0ALJzjBpRIQMU0yKE+UbiTg8VC0DMcrIVHoKAL07YjwOpOKryvCttJu5O0j1p1wRuYfxe
vtUiRrJGC4DcYwa6bWjqRe89CGBmSNZHU42heKmQl3LkEegNRWoCrJasMMh/Q9KWZ5ApRGAkGcMe
g9zUSZolY4SPxbqdn4ivrnXGNppVu7QRxiInzDng8D0xXZf2vYotpvuEQ3QBhDHBbjNYHiPRrzWd
Iny8VyApZY43KhmA4wfrV3Q7NL3wzpn22FTPBEqkbgxUgYOTXOnL4SFdaEWreLIbVhHp+26kVvnC
5IA+oq7r0zSeHroxMokMQYjPIFMlttOtre9s7NI0nMJdoo8b8Y44rgFkvrLUw169xbwMgRmKsQUJ
HGMcnOBj3raEbrmGm07lS00uO5vbWOO4WaVjukIySiZHXPv+Wa6yLwvp9jcXs19dRs7AuiB8Fff1
9BXLw39ro+uCeJ1u4UBAxlQuSONp5yP610XiaKwn0Z9btZHFxNsUqrn5sZ+XHY/4UpS1T7EwlHd+
piweDdRu7N7tZYEG4lWcYCjaB36AY7VmWcsGla35dzJE1vuVZkQA7s4GSfTvk1qSXWt3ehyI13HB
AFLJuYKWx2UexyOcDiuadY4/kZPMMuGIxsycfln6ZrOUla67mc5K10rHTahpVnrl3avpmovKtxzD
AXKrEpGT07+3equueGYNMsGFvf27X8Z3PEHClmwSR78A1U0u005dNlu5by9jljVVjCrjYARggkgc
9PxqTXbd5o7fUjc+a9ypHljqxBU4+vtRKfMrvUbmmry1GabdRyadPo5tZiLlSSVbLZXBCgDp94+1
TavOdCEltpsJS5ubZWf7Q5Z1wByT2PJ61kQyTWkpnV1KCNk2ngl8jJx14BAqzo2h6hrt3cLZTwys
jB5EkBKrkD15OcfpURjdqwk2rRW5s6bcaZY6LJqd2Q99kMsLP8pbGOD3GR+ByKTw7Lb6j4lMWpYl
acF4wV/i/iXI4x14qXWfCtxZQ3d1M3lJGEYSAhi56lV/HNRWZ1TStH+2M5ihZjtmfJYE/ebB5Hc0
JyT9/wA9v6/4c2tYqwXVj5NxC1k4vpW/cGRchiuSSD68V13hO5u7y0mS5dmVWCqWUggDr9Oo/KuS
JsL9bYvOkD5KOFDEkspVc8dTmtqZbjR7CHStPjuXujIrnyfl+XBxn2zjP4VWujf9MabRseItUGiW
0ccJCS3RbysKDgDGePXkVe0Se8+wWr37ZmmQkkjb344+mK4/V70WTRyas7fa1PyqX4XgEgnp2HFa
Hh/xVdeJIZXMcUVvGcJIxxz2H19hVuDXvdBpXuXtShWS5l1Cxu5/PjzFLbx87j03epxUXhO11YNL
dX81xFDJHtS1kXGw+oHarFjoOrWviJb6OS1+yysWlUDB5HI/OqniG98u/mbTb9jclgksMjbVAXg7
S2BnIqHztXfQl33KF1qd/wCFNbnWa7WeJ7dnjVgcnAJ3H8cD8aj0nX9a1uxYSXy+ZMrFPIxlDjIH
H0+vNN0+z1TxEkd7c3pElqXQYQqpLA5B78fSs97eTTYYdc07UYpz522WGQFEZ14PJHuK1g3KzQJN
vQray+pMn2/VrB5oI2WIPcxfKTjg4brzurV0zwpYeJLZ7kxLZTwMmyaAbVHfGOnQg/Qiu7S6stas
/wCzr4R/aXhWWS3U7toPQg9K8w8RXSaVq11YW6NChbYQ8o+f5RyV/His05xa5Xt+I1e+hp694m1K
4vLnRylvBZwSeWLjfkkdFY9jjrW7oOm6bFa/YHtY9QkWPeblUGGx0x/Q15y8D3NvL9o8yTYBhvLK
sDn5QQeOOB1rq/BuvTW9zFZTSmK2chMPH82/uDjOOe5xQ5WlZoqSS2LVna6eusnT7kXFsk7FooWD
BW29gfTmupg17TEjS3gnLp5hiYoCcEY/xFVJDomtXEl3K+2O2YIZDKERs5A/rXAS+K9FsdX8uw0t
5Es5iUw/yuD95iPXgYqKk7PmMpyUdT2UMIht+UY7GqLa/p0YbM6tsco2z5sEdc46VyX/AAsmOVbV
oNNeOKWXY/nnafXI9aq6ZaS+MI9RuIbqKAW98xhCJncByN34/wA6bnde6PnvseimMMA2M5PGKRnA
OB+tVNJubiSwi+1Qus4GDnjPvVwo7nDbQB2q99SiAAtkR5znk54NSAMvBOT9alMShPwqF4AT0xSs
BYeMm55PDc1NDwpU9QaidsMkmeM/lU4xuOOtdMm7ExSuytIyrqCszBVWM7iTgdRisTxlrFpZeH53
FygmbCR7Wycn1xziuf8AFuqzHVJLSWQ29qCAzA/eGD2xzzjv3rimuIboL5sM0jB2eMk7lHbHGPSs
JTcdUthznZaFyPxNfwwLayTXJtfJbIhIwMk9D3P5elaWhfEYWlt9lOkmPBOMzZY7RzuGM1ykrQ7V
eRmRWfCleRkgHpx61p6C1rb3V3PqNukl08Zig/2W9W571EWlP3znpS5ZWl0O1vXnkt7jxLbQy299
s8pIwciRAeuMZ96yv7d1u509dLvbHz5XyTcYPTjjBGfXn2qpEZ9b1Bo4NTZV7CQY3DoSOeOvA/8A
11raPaa4uslTIREimNpZOy4ONo787fwzW0OS3/DnSlFq9+5lW3hW9s3W5u7SKO3Gd3mOAFzjBJzW
Hdi2jupFLGaFZBtEEmRjJ6j8Otd9rd9Z2um/2bqSyXzOP3g+6H54Oe3/ANauEj020uLS4nsoWgLS
7Io9pbaRz1yMjGD+NRVlFxM6nL0Nqyi0rxFcytNcSQMhY/ZnUkfKOQp7rVHSvDN1qkUjWwhVY8KU
WTLg4weD+fWshY30+CeWeZkvAQ37tSpCt8xwCTnrVnStbm0rVzNC8yrvDyR5BO0nAGe9ZrV2Zldb
SJrqCXQvO0y8kCPKgACDODkH+nHv+dPj0bUtS06W8YLHDaurcnLHJHAPTPArWtNL/wCEu11r64lj
gV4whXq7Edfp0rsLqwj0bwrc20LtIvBzJg5JIHaicEnfyK9mr6bHFeH/AA/PHrFtcahZNNZSq5j2
8jcSMk4z7d+xrs7kWn9pTaRZxC0mnjy0yL97aBx+RrV0NUj0a2jj5UL/AFrJ1nTLlb/+17G5XfEG
8xcZ4wOBWkXb0N4Ll2MYan/ZCLpd7aSz6XC5jeWRSWYk9cemTx7VsXX2bV9RTSptMaS1t2OWJKgY
4/EGsrQI9S12aCbVXZhAQyyou0SfMSAVOe2K7K+ZVhZPOWEyDaHPr2pSakk46Dlbozy5dLtfC/iq
bJWe2BjKx4Iw208+2Diupl8Y6fHYyz20ZW5CA7iA2cnGBg5P6Vau/CCXrQSTXLPLu/eHpuFYOteE
bWHVLOytPtDCfcDkjC9DngD0HX1rSybTZV+d3k7swf8AhIrG8N9He6W97dtIASqEgLj73OMHt/8A
qrR8O6NZPp0z2ilngYt9lEuMkqDn8AQPwpJLufQdcnt7CxgaS4xHLIYy6kgDHBYepyc+lYl99ttr
6aOz2Q6g7BzAjbFI6HrnggA43d6U7P3E9PzZD10R0U/jjULRrq38tJXdgkbRNny2IBPOMcE+vauO
1nUL0lpLUtdXXmeU7tgeYT7Z5PfNdALjT49BhM/hmXeXVpHhnYKTn7xOOAevFUdUW21TVYIoYPsc
DuGcBwfLYdR0HB6A+9TK6ur6f11DlunqQWesX99plvpWBGxG8jeQ8gHJbIBGcZ4NdhbaroeqpaaT
cWU6xKxlDTKAoZRgkkH3rnNQt3sdQkg0maY2m35pVRWDAj7ueoz0/Gs6N7gXDRJEyW2AvX5ieTnH
OB+J6Cp5lzKLejGkr76HS6jr9xPrEsVncw29urGJJUBBKgKQc456nj2rndXME2pyvJeC+zGjGRlI
LgE8HAOPT8KrS6k10k0Ys4kEBAhlBKuTj5ickg/pVBxt2xPMY3IIEkn3SpUHAx3BJ6mtqcbNt7F0
fdvPoy+12ly7SKImjOCQScDHVQOvt9e9TaRBcutxJY3AtRHGCZAeXDkYHfOc4zxjrVSyGLJ7ZLVl
aMqsbAjcSe5Jz1Pbt61bsY726vY5bbdGLcYaNAApYHcSfVeOnp3quVXbsS7PZWN2fWbKz0htF1PS
ZlNwpeOV8BS/8I+ma5FUXWZrmaJDHcRQ4m2EIuMhcjrnnFdH4i1OfxGEtpJrYXVsw+zgR7UkbODu
yeOMnHtWfpCOsMmn39u5kuWCSSQsAUQN8uDjnJzx7VxJxm9CIqN7tXZo+FvDEOq3HkahIJ44YWEa
qSGL9/p2r0Pwpp0ek6S0Saetm24lwG3bj6k15LcGa3v5CJLhbZJ/KSFX8mQEcE5wc5wPYfjXT2Xj
h9MW7guXlvIcqImmOzYCo+U4Bzj1704zjKXmK8ebQbqOv+IdR1W4SOaCK3scTPKj4VADntnfnp2r
otN8bf6DE1/BI9xK+1I4VG/bkDJXPv2zXEX0kmo6dDBbW8UFqzbfKUHLMRkd84Hufwre0PVbHSLy
ysdVtCLpF2Q3aglsHgZHbI+tDk4uzYSbi7M9IMqBRk8kZqu92gPzqwJ9qlUKSG2Hb2PqaV4GkO7a
K2aKHJmV1XsDkmn3Nytnaz3Tqdsa7seuKfbBfLyBz3rK8WXRtNClIkSPeQu513c9hjvk4GK2qyte
3QimtLs8n8QandajcNcySh1ViI4lXGAeue/Tv64rKR3jt0SJfIEWG29S2ScD3PWpJDbb3zMRK4YN
tzlwSMkg9OgHNJtVAGht1ZQGZwMDaQAAOOhwQfxrznKTTUjFy5nZDmsRNbPLHuGwh1I3bUIOOAxI
6gjp2pttJB9ola4uN6IGBQKPnYDAVSPX1rpPDejRX9ldJcTfZ3ihQowGCOMnkcmn2uiyajDJdaYn
mNbXOD5nzFjnIIHbjFdEYrlv0LhFfEzKKvPrNslnHJFBb7VU7Ml1xtye2SD1x1r0OyNzp+nOs1zD
Ndbjsjycgdhyc5rlNa0/V4NRugkU4hLrslZWbCA7gA38PIHNXIb2M6dLqK7zdI6xJnBySdx+g+X9
KJt25+2hvdNXNq/vILuBLK60+T7RImeF6H0z+NQw+HzJopt1Rrcs+455x2+o4A71F4d1y6fUJJb6
5UxyggKT3BGCB264PbpWz/wktkfNBba0T7WDHFVGfNDRBurWOavfA1zco5+2Ry4HAdCc+nfsMD8K
zdG8BOJLpbtiMMwjzyrDoF57DtXoqzwX0AntpQUYYDKawLZptJuZobosLRDu81+p9PzNRLTQhwVy
t4Z0O5tNaeS4Vh9nyBJ2k4IBH4Gulu763MN5FHsklgjLGNxkHFY+k62b3UpgjQNa+WHgKP8AOw9x
T9QtTbWGqXsILzTjDKR0GcH9M0W5NBpcuwzw94xh1LTLhzb7Hth86R8d/TtWXd6vZabPC1lqU4YT
l7iJsHJYAgHjoP61s+GNLt7Wwjuo0YTyr8xbrjP+GKvNodiksk5tVd2OTv5z+dCcpRHd2MXXNXhu
tKEVu9xEJU3+bbnaU5wR065HNYCDxPdaSj3TG7hjlIWRlHQ8dgM/WupPiB9HWSGXSWitI97F41wF
XrnHer9vrIvlt2tbZvsckYeOQrgdOmKbUnHV6egtWjHs9L1S51try/up47eH57eOF+H4x8wrr1iS
a2ddxBdSCwPIyKy9RGsPNbtp00McYU+YGAJz/wDqzXIPqWv6ZNeaVGALudl8uSQ7sg5yw7Diq5ul
th3I9Vt7LSppP7QvFvoI97bA3zk/LgEjn06n8Kr6odD1vRbXUredLe/2gpbudwHJBz3PSqk9jbW7
mPUEmS8eRgscaKyzZUdeOKwZy1uJhHGDcBAx2sPlI4HPbAGMVDlNx51EzftG2zr7fx5BBpy6QYVP
k2gVXxxIQvGO1cpaaS1vYW95BdzXVxdXCxOAwKDJyG5GSMe9VUM098ggePy2dSUcK33jux6ng9qv
oNQ06WWwucssUnk7owGK8YAJ7496bScbS39B6T2JbiCbw3bXFgx84YVWdCcPk9Tzxg4rMV5xazK0
m1pCSjx/d2jHQ9cZPPNXrnSZ9RTzIohcQSSGMk/Jh8HkYx9fwrTvdP0i2fToEuQZP9XLJx19PT1F
aOLcLbkyk5R5Uc3HbebatHKxxM4yXHO7A+7+dSwaUtxstOAsbk73JCkdMkZ6cdvxzW3PpRmuJ4rJ
GkXcPlLFu3UHrnGKzrG3ksx5Vvb/AGidHZsIPmGGIIYH09frQpKFoxXqXFOFooXUrJUuD5jILcxB
vNjYDHuMevbNavhstqy2UD3kFlAHxHCi/vZk7qSeSMVlahC11cyNck2saM7kQphDgZX2I6cVa8Nx
29prVtePG06ruxKAxHzdCo6AYOa529UlL3f8vMNduhbtbfSE1TUra9t5FjiDeVcOR80m4fNyPXA5
yOaybWx1VNcQWV4zTyW5WLzgoAyTgqAB2Dc1teJzPN4hkgbyYrdnALwoGKrtJy2O+cflXbiLS2uY
7a2iRtTt7VZkJXqMEAn1PJ/OrUErWQ1ddDycafe6juhDwyvDIWmeSVmLFcAjJPHr+NP0hLlf3l3a
RSWskjpCrFmEbBjweeCBjrmql3eLZa/JfQTbJd7STWrxHYHHGCBweBmuivLsXVjpl14fEkT3AP2n
7OhSISd2IH8Q/wAKxvdtGLd9BdKuVUWkJtZY7+4kZnMq5GB3APevUBplq8sdz5UbyqBh2Ge3btXn
Oj21x/bF9BrPlXthfPJmfJLRk54XuoPp713Xhu3trLTWtba8muIomwrSHOwdlzW0FK+prC9rWNvz
NyLjr6VJnjpVRUXGNuHB6ipPP2fK/UVqWS2zDG0Aj1+tVNftoLvRbmOeMSbULquOdwGRirUb7Yiz
HkGpUTPzPgsf0rWa1ZMPhPB7HTrjUdYe0ijXdLPuIMmcjbxke2DXZ6r4QQm1NlDiRcLNv+UHoM+n
Y/pXoYtLcTCYQoJB0YLzT5I1kQqygg9jWKgupKpLqZlhoum2CEW1rEhZQrsFGW4xzVm1tbe0Ro7e
FIkznCLgVW1PTpTplwtlK8UhjOwA8A1yXh291yXSJrgrK5IXy4WJ49QDjjHSr5G4to0szTtWh8Sa
jebpPMtImaPaAVIYcY59Rk1matp39hG4l0l0kkkG2S3L/MB6n9Bmoz4jvvD0ot7q1iZ5nARgCqsx
HTpnOaFu9SFxPqbW5hLIUlRlGVJxkg55A45rnqrl0CcbGBY6Fqes2s8aWzWrZEjbwMg9vx4pbrRJ
v7F869mfcmQFGDtOeuf4ffHqKspLf2eoz+XuaR0YOFJIZPl5PqfmqW1uLqy0x4Y9EAtZVbc7btw5
+nesIyttdGa0dzO0+d2tHspI5GgSQvGyHOMAAHH4d63rzXP7K8O20V0i3+Nvn7yW2DP5nFTrbaZq
vhpWtZPs5tmYMSpIznJz3I96wUspbOe3bUUZ7SbbIJB827AznPY555xWycuRqT+ZXTU29O1a20+5
Ml5am3knjXYY1yqoRuxgfSupiLOxYLkMMjnqDXmK6NqS+Ifsd1bO0TDHnHBCgDORzwMCull1w6v5
cWlXC2ssYCyQzMqux6DHPsePpUxco35kGq3OoutR+xGIeS8m5sfKOgo/tNzfPG0DiFEJMuOB7Usc
crW8TTDbMAFYjn61DqVx9kQtHPDFJIMfvSAGx9a3TQWb6jm1eyktbZ/nKXBMSnaeo4NTQXMEsfmx
ncm8KGHTrxWDNcalZI8kM9pKoUP5Sc4HUkfhWj9qEuiKNHNtHM5DCJ2HTPzD64ziny6iV0tStqd3
q9lrtrHa75YbhmLMVykagE8k8CuYn1q6i1a+ukSe63yCNUfhUBIztPfscCuk1vWl0jS5IpJY5bhk
2sgzgE8HPoOa4+38TKlnJAFjgh3HbLyCTxk5I6+3pmompOyQN62NDUtflntZLe2QwylQp3KMg+vt
0/GuUuGWymhjvYZJpJIw7zBSVj+ZiRx0xkdK1IZ9Ps908s32x5xuUhAoU9Pm55qHTVjF7HeSRoLE
y7fMYkAk8FSCOvGcjI5ppSs0/TQJOVmluIlnd29vY6hY2tvGc484qHAYDHX3x1q/4j1yxa5KQ6db
XEmBunIXc3Hv/D2zWlqGpLPr39m27iSCIAswYCPJGRg9M81x5SKdm8uHywM4x83BHceoom5bMicn
FHUeH/EbtfSCWFYbFUZ1QlfQkYx9KxNZv7VrmV7SHyyAV8gYfc55LL6EDv7mq1rdw6dfWz+X51um
PKP3gc9QR16Anp2qSC6gTVJZooS3O5WdCNwYMMZxj1/KrbXL7oRk35lnT4lv9MVHEiSACUKxG7cp
I5/nz1zVvS4r/Tr4y3FnPKLhmdG2lVQE5IH8PJyePWo1Fxqvh2e7a9s4IY3eNEbKuCAuBgA57/nX
e6PBNcW2n3pu38pLVYjAB8rED731rCTcqnMitXLmWxzV3pWmaks0sES+bHJukDKMe/Xirh0Wxj0O
OcoI1iILSherdOnXNTXeuw6NeyvcwI8MjZXaQCx9Oe9Ub3xDbXl3ZR2hYW6syz2oVsAjnkgEHget
VKEY/Huyo23ZL4Qlk1GS81RrYhPMIDMMfMCAePoa72F1YB8DcR1xzXl+nSatLc3c/h+4R9OEgJhd
CCFHDKPfmt238XGeW1t7e3cySfLKFRvk68njAA9zVU3zK6GmmrlPxtpemtcPJazwxXTr+8t1Rf3m
T94+/BpvhFbrT9L1aG102FZEAktowRiUkDB46ZrVXSLO0ju9R1PbeyM+d6nd8vYZPTvTPB+uHWRq
E72kVtHHP5MWCCSgAxnHtWk7WVgnrbU6DTHmudGhlvbWOG7ZAZEUcK1WwiQRbUjADdcCmzyBE2Ac
NwKpmWeMFmJZieFWouBeBTbkDmhYwR85GaroxG0d2HSpVRcHc+OeBSuBNb4kck9DyB6VZ+6wGDzU
VuNuVI5PNTN2+vWuie4ofCOopBS1BYUioqLhVCj0AxTEnieV4lkUun3lB5FSUAV57O3uiomhSTad
w3DODVeTR7SQPhSpbqQevOf6VeH3jS0Ac9c6LNbRTNZqJJihEbt1B9D7Vk6lFrVz4QisntEutTc7
ZhExRVGTyCR2GK7eloaTjyiaurHnGkeC9fsLAQfbYxuwz/Ocsc5I+70qZvBOtzmM3OrK8bAB4Oqx
8YJU45/IV6DRQkrWsM4PXfDmqz3CFZpJLYIU2o23BPRiep+lZuj+Ar9UkupSttOW3eUDnec5zn+H
oPWvTaKmcFN3YPU86e28YwMwjiaUORjcwwpyc/hjHP14qxqPhDVNRigJnRZlXDlj8ufp36+3au9o
pOnFx5WKytY4Gy+Hcg8o3eoNlOSEBO78c9McYrag8FadBEi+fdEqACd4GcHPpXSUyXldo6txWiBR
SMCbwbpF/LJNPFIRIeV38Htmop/AWiy2zxLEyyHBWUnJUj2rpxwMClpNKW4OKZ5hq3w3vFgDWs0d
15SkhW/d7iTk8DPPTvWJH4P1aKwWQWk6Qs28xvjMZ7ngnp9K9qpMZ60oJRVifZxPBLZL+OHZDC0z
IML5eQWJHQ8dR61q3Gl61HZyalcQhokBUJIuCSec4HT9a9hjtLaFy8cESMTklVAJp8kaTRNHIoZG
BDKe4qtOocnc8Ot9Rnht/JgsEecsoJ2byc9uSOPetbw94euX8UyCawaLETBg5IXbxtwMEA5J7npX
p1roemWRDW9nErDuRkj86fqVtLeWbQwXTW0hIIlQAkAHpUpcqsVJLdHI6t4O2aO4tYj5qNvAT5ix
9T0re0rSZ7fSbSIy7GWJdylP4iMnPPrWwuVRVLFiAASe9SA4HNSoRUroEc1H4Qg+0zzXDLL5j7wC
vQ06fwtBBaTmwRFndGAyvqMV0ec0ZqrJlN33PIrO01TQLyd5p2STPmDcoAznkYzg5Ga6TwzMmo2F
zctp/wBkMjGNj03/AO0PTrXX3Wn217FtuIEk+ornb/TdasXkl0+RZ4CoCQMvT/PHelGktEmSo9it
q32zR9E36eYfKhH7wT5csmTn8eao+ELKP7NPqMTSJFdyHZFJGFKrnd6nuTWkxubu1ngv7cRx7ASO
euORmrGkyW9zYg2g226MUXIIPHB61F3d36k681zRlk8xlwwKqw5FU7mbGFG4c9RT0hjcny845B56
1B5b/MFJwpxn6UFF1JBKU2noMEnrUzRjdyuffOKoJHMoBQYHqfWple95ztPPFFwNqOMqxZmySKkP
SilrZu4JWGKwGB3p9IRms641CaK5aGC2a4AAO5TwDzx+lAFqKyt4LmW4jjCyy43tk84qescavfeb
htKmCk49/rWpbyPLbxySRmN2AJQ9V9qBj16UtGMUtIAooooAKKKKAEpaKKAEopaKAEqNztlUn7vT
6GpKCAQQeRTAKWo4yRuXOQpwDUlIAooooAKKKKAA0mB6UtFACYpCM4FOrKutdgtbiSFkkLoR91c5
4zxQxGoBik+8faqNhqEWpxtJb79qnBLKV/nV9V2jFCGFLRSE0AMliSaMo4yrdazprH7JCTDIdoPC
Ecc1pq6MSFYEjrg9KZPCJ4ihJHuKYGdLYOkYVGA98dKb9hkQbEAK4OTnrViBrmG68qc7kdjtYntV
xo8DKkjFS4A0Y7RTLGsMhyx6Yp6xEDBIHsK0/LUsC6jPY0phBPQVPKIkBBUEcg0tQRSAfLzt7Z7e
1T1o1YE7hTFRQzkADJ5p9NXv9aQxQOKQ5x8uM+9OooAad2B096Wikb1DYpiFpaZ5ijqcH6VEL61J
I+0xcHB+cUDLFFV/ttr/AM/MP/fYqWORJUDxurqejKcg0gH0UU3dzigB1FNBz2p1ABSUUUAMj4Z1
9Dn86fUeds/+8KkpgLRRSUgFooooAKKKQ9KAEflSo6kVBHbxxoF25YcZParC+vc0n8X1oAUADoMU
tFJQAdKoXkayXkAbkHOd3T/9dXz0qG4iWe3ZWXJA49jTT1Agksyh3WrGFsYxng1l3E2oTT5SaSBk
GwrsJDEfxCti2cvboepxg/hxU6AYP1ov3C5zj2mtOqslwSchgHHQ1fs4dUgkLXVwssewjHTnPH6V
qkgDHamN83B6UmxMVHDocgjHUGkBUjqR/wACpduQCTjjn3owo4A4pgRDLKzlRg9QDU0RJiUnriii
nLcUdh9NXuKKKkodTS2OtFFDAB83J6elKQBziiigCN/mBxwapppNmJDI0CEv1JoooixDn0iwKlfs
yDIxx6VZhijtoViiQKi9FHaiikwJN2RTR7miilcB4xilooqhiUUUUAIyB1wfz9KajEHY/wB7sfWi
imBJSBgehBoooFcAwJwKWiigEFNPPA/GiikMWkPUGiigB1FFFABUUzCONmJwAKKKGBVs1ZLbJ7kk
fQmrn3RgUUUhCngHNR/XvRRSYDycimdKKKGI/9k=</Data>
</Thumbnail>
</Binary>
</metadata>
