<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20241218</CreaDate>
<CreaTime>07262500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<RematchLocator>
https://gis.cityofwoodland.org/cowgis/rest/services/CompositeGeocoder/GeocodeServer/CompositeGeocoder
<Category Locator="Review">Address</Category>
<Description Locator="Review">::</Description>
<PORTALURL Locator="Review">https://gis.cityofwoodland.org/portal/</PORTALURL>
<DOCPATH Locator="Review">::</DOCPATH>
<Referer Locator="Review">http://www.esri.com/AGO/AAEAE330-CA21-47DF-B36A-771B69B320D9</Referer>
<ISFILTERLOCATOR Locator="Review">FALSE</ISFILTERLOCATOR>
<ISEAGLELOCATOR Locator="Review">FALSE</ISEAGLELOCATOR>
<ISAGOWORLDLOCATOR Locator="Review">FALSE</ISAGOWORLDLOCATOR>
<CLSID Locator="Review">{92B913C2-FDF2-46D1-9D69-58F6711FE468}</CLSID>
<capabilities Locator="Review">Geocode,ReverseGeocode,Suggest</capabilities>
<NumThreads Locator="Review">1</NumThreads>
<MinimumMatchScore Locator="Review">0</MinimumMatchScore>
<MinimumCandidateScore Locator="Review">0</MinimumCandidateScore>
<supportsBatchOutFields Locator="Review">-1</supportsBatchOutFields>
<ISCOMPOSITELOCATOR Locator="Review">-1</ISCOMPOSITELOCATOR>
<RequestTimeout Locator="Review">60</RequestTimeout>
<InTable Locator="Review">::</InTable>
<InKeyColumns Locator="Review">::</InKeyColumns>
<InColumns Locator="Review">Address</InColumns>
<OutTable Locator="Review">::</OutTable>
<OutKeyColumns Locator="Review">::</OutKeyColumns>
<OutColumns Locator="Review">Loc_name</OutColumns>
<OutColumns Locator="Review">Shape</OutColumns>
<OutColumns Locator="Review">Status</OutColumns>
<OutColumns Locator="Review">Score</OutColumns>
<OutColumns Locator="Review">Match_addr</OutColumns>
<OutColumns Locator="Review">Addr_type</OutColumns>
</RematchLocator>
<DataProperties>
<lineage>
<Process Date="20241218" Time="072625" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Geocoding Tools.tbx\GeocodeAddresses">GeocodeAddresses 'FULL SCORES$' https://gis.cityofwoodland.org/cowgis/rest/services/CompositeGeocoder/GeocodeServer/CompositeGeocoder "'Single Line Input' Address VISIBLE NONE" N:\GISShare\TestData\Danny\_GIS\WPCF\GDb_Shapes\WPCF.gdb\RouteReviewLidFlipsDec24 STATIC # # # MINIMAL_AND_USER</Process>
<Process Date="20241218" Time="073547" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=N:\GISShare\TestData\Danny\_GIS\WPCF\GDb_Shapes\WPCF.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;RouteReviewLidFlipsDec24&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;TOTAL&lt;/field_name&gt;&lt;field_type&gt;DOUBLE&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20241218" Time="073701" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField RouteReviewLidFlipsDec24 TOTAL !MSW_T!+!REC_T!+!ORG_T! PYTHON3 # TEXT NO_ENFORCE_DOMAINS</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>RouteReviewLidFlipsDec24</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJzt3QeYXGd97/HvOXPO9D67s71qV6veZcmSbMlNrrjFhphiQ0iA
kGBKcnOTyyUh8FwgBAhJLhcb54aQC04wobhhcMENN1mW1aVV2aLtZcru9HLOuc+sbIRs2WitXc3O
zvt5nrFk7WjOO2dmfjrzlv+rGIZhIAiCUAKUYjdAEAThbInAEgShZIjAEgShZIjAEgShZIjAEgSh
ZIjAEgShZIjAEgShZIjAEgShZIjAEgShZIjAEgShZIjAEgShZIjAEgShZJR9YGXTCZBksskUdo8X
WZaL/ZoIgvAWyjqwDD1P4sk7GNk5hNIdIPhnX8C9dFWxmyUIwlso68DCMIgNTaJrErmAmdjkGO5i
t0kQhLdU1oFlSDJjtduR/BGYyJD/2Q/wdKzB6Q8Uu2mCIJyBUu5XWAxEiXV1YhkOoZmsTEYjIrAE
YY4q68CSJAnfUhfuFh/K8QNkuurRh/qhta3YTRME4QzKO7BkExVLbmek+zCy/4PYOlJUb9hS7GYJ
gvAWyjqwCtzuGtwra4rdDEEQzkLZB9Zv0zSN0PgA2XgGzAoutxOyBll9BKe7AZvNezbnVBCEWVLW
gWXoOgfu/RfcuX8la2SxrL6eqmVtjKdiuPwOkgkNQzeQFdD0DIaxdqrfa74b3bOLyM4d2C6uRXX6
qakRX5OFuaHsAyty/CCGNY5qTRP/9T66X7YQj2ZxWBTSJ8ZpDUZRb70QGRtOx/wPq4I99z1Ocs9u
mltWITOE37UYi1NM9RCKr7wDy9CR7Blk1Up2WGVyb5p9x/vIOyTUnITXnaC+rg/HbRciSXlK5aoR
qTAC+s6XGLl8KWzLJCyjr9JuPERstwV105fEsiWh6Mo6sGSTgnfFZeTv7SVnc1H9/mtQ4hV42qqw
ehyoFgOLWcPut6KY5n7HfCYSZvSRnzCuGLwc1bn55luoqHjrK6PY+Bi5VBJ7oALVbCYWiWC12am7
dQUVlc10/uwZenrr0NQ4emQX/sC68/p8BOGNyjqwJFmmYck6Qu/aS95w0nTtrSy02ylVyYlRBtLH
2PfEHj567y+QZYU//MMPn/G+w/t3c+xbfwc2M62fuYK+5/qw/GoXvpY29GVRwqYhbF29DHbVsPDy
ejQOAyKwhOIqi8Ca7O9l4H/8MeFsDufN66m+oJ69P3qFNR/eREz349y2kMFnj/Hq3Z+n8T1rGN07
Tm4sSv32ZQR8WzGbfTPSjuTIECPPPUkaCVtHFYrDTGrfAGqdn7rlF6KqznN6fNlvYvltSxietPBZ
i5+LLup4y/vq8RjR4Qm0ugqWm5O4LFFSE2G0XA5vxwdQUvvJ1iynRk+RtLiptDSfU9sEYSaURWDp
kkw+ncJcr2BU2hnaMzz1lS+fh3Q4QWVQQY5E0SaiKGqc9Hj31M+N1ChpJYI5MDOBNfnSM+j3fptJ
2Yz9Y1vxLQ4yee99xFe14mmtxeddek6PL2EwOZkl4IBrmr2YJdPb3v/JowH69lipcjyKlJ7AommY
lq/H374J2CQWggtzTlkElhYJYTN0/FdYiDhs8EoPdWub8HnNRPYkGXxwAB7fj7+1gsSB5zAnoOGy
DpIDE4R3P437xtYZaUfCbGFs3WI8Lx9i9L6dpG/fjPXO7bQsryGrnftLkQwrhPdE8L2yGzkchYPH
YOGFZ7xv9QWbueqzKULhNL52E662DjI9x6nbvO2c2yEIs6UsAstd+DDe8afoFXkCtc3E17Zj8tmJ
x71ULfWT7e7Fcl0DWX2YhoG/Q/JdhWKz4q41k3WumLF2+OobyZg3QNaNBYl0PIB9UZCMZsases75
8auaWpDy24mbHSQG9oHnAMmJIeyeNw8YFAoVXnHb9tP/UKyhFOa4sggs1Wqj9rpbT/1B3RvuUNuK
sWkbej7DyN56gk2biOd0zA4zFTUz13fjW7oad8cy2GxM/b8hSUiyRKHIqSyr5/z4hUmtamCI6lo3
icRa/D4z8XiK0h1GEIQyDKyz/bCbVCu1az849f/2WTqGopqZTarSQTyukskYxBM27PbqWT2eIJxP
IrDmGZerZeomCPORCKwSUZhuIJtMU3PHBKFcicAqAdmJKMM//j5ZWcZT30hg25XIyrn3eQlCqSmb
wBrr6UIyy8gmCX9VE6VEi02Q2/EUsVCInD+A94KLkN3nPqooCKWmLAJrtPMgY//z4yhX1OFb5yNu
+zxOdwWlQvO6SL73UpT4KJOPdWKgF7tJglAUZRFYWi6FauiYfXVYWxYRT6RwltB+XkYuQ7bzBNl8
CsMXwCgU6BKEMlQW73zFlqXiljH6d7xI9D93Ufv1SyglciyNY8cRjGgUe2UQ2RBXWEJ5KovA0myV
WC7/OJn8OHuf7yVYYlVDc2Y7EbuP9ESCoQkzLRqILnehHJVFYBmxFMNpA1XpZ+W1ryLLpRVYk5N5
njxSQS6hcHFbCpN8cqa8IJSbeRdYmpZH06NkJtJIZpX4QIbjB8Z55W8Os2H7fpav7iVbYpcnNc1B
tv/F7fiqnDQuqEK1WIvdJEEoinkVWLlUhgNPP8LiS/Ok8yn2PBzmgbv68ZpiaPUeKm74S9IVGXyV
b1xMOLepZpV1l5xb6RlBmA/mVWDlM1l6Ht2P1+/n0Atj/Py/hhnvzfKHG46RW7uJtm03nfc2pcPj
dN/9DXYeHkMzV7J8VSWyUyefsbH09949VZ64GHK5PLsee5FApYua+gocNaUV4kJ5mleBpSjgzY2y
6/8OUntZC+P2AYbR2DtajzPkYW0R2qSlYuQGu9DGM0QyCSLRXVh9SUZCPurWri1aYI0PDTH+8n1M
hieIW6x0/PXXsTnPreKpIMy2eRVY6Bo1+ijuRIi2q9ZT95+LmUhOEMnEqPXEZ+2w6dgkJ47swmkc
ZzLTjGazYk5kSWTMLOhQ8F0yRmO9RKVk43hXJc3NISpjCeRMimJRbBJXfm4Dgw/tJ/eTPWRT8dcC
y8Aw8uTyCSYmfkk+10pNzfqitVMQ5m1gSVYLlhs3YuQijP3yEBXNZpaus7DWeQyTXD9rxx15+Qnk
8PcZMRpJdz1HpCtKMBLlaLqBoSsWsvlDt1NVMQ5P/isrl8WYjDtINS/FueCta67PtkxaZ2ggSfLI
KDmzipY9GejZbJxs/inSk+MMP/gqcuukCCxhzphXgWVSLShtmzlxz7ep9Nu54l1VOJbGST4lk1Fm
byqDvbadkR0xshOvsLTjCA+/ciFNV1dw9dUXkczDnhci3P+PvWxtb2H1zesZ//lTBK/5fZxVxds6
TFElMhmdXDyDJZ1F1k++FUwmK+GRPLnxMDy6l+xyM1xWtGYKwvwNrMLmofUt66n/0smvMEf+/nNI
O17FWlWHv1Dpc5a4KquIBxdgMIbmzGFvqEH3O5DtfpSMxFifDpqLippF2KqWkbekcFYtophMJpnq
WgfWP96GWbFiMnun/lzXdSoqrORMLl7OeDB00a8lzB3zKrDeqObWD5LbfClqcxuO6tpZO441UEnw
5i/hzyUpzEnderE8Vf5YMVlwu1QuvTHPxVelUa0yisXK+tsvx+lzFz3cMxkNu1PFJKsY+skrUEUx
MxnzYbKNEPjIxZh8/qK2UxDKJrBczQugcDsPHN7CVmBn3g7M+sZ5ng6KrqKihrHxZaiqTk634/ed
KleT2h+nZ/deHFs7MFvn9VtEKDHi3VjGKivePNEjm0qSeOTHeMdPELihnZGoWAYkzB0isITT6JkM
cjZDdDjL3127nw98+UpYKU6SMDeIwJqm5GAfnfd8A8XpxVFdTev7Psp8IhkGWkUVEykH6nAFZkPs
uiPMHSKwpikrp6m/pZWJSBxZjjLfWHx+Wj/yGRp1g7UpmYrak6OHgjAXiMCa9hlTMZxuVEnBMLLM
N4W9E82BSgq7J4oNWIW5RgTWNMV64zz61X0448PUV0Zo/rdPzt5s9EycrueewdbbTc7nAkPDqPCh
jiWoueQqrL7ArB1bEOYiEVjTJCsaG9RDTDozSMnZHUELjx2l7//+P2oyQ1ia/Qw7PVS3eNAe2Mlo
Pk/ju++Y1eMLwlwjAmuarKbCLHH46d4qjk14+CmzJzxiQr1uNTZ/BzFJwhIdZ8LkRLbYCEhiQ1Wh
/IjAmiZ3SxvRG97Pre+pJ5qY3VLL4ZEM1Uu9VDQFqZQlxjsdWPI5MuTRY/Ovw18QfhcRWNOkOhws
uPk2zsf8+S1XryOVWoqiyMQmQqjm41gq66m8507M9tLsEjd0jdzkBIrbiyyLq0RhekRgzfERO/tr
wRSorJu6lYJ8PkU0egjZ5CQ11k+uO4Z7fWMh7okdP47xXw/j+P0/onK1qLMlTI8ILGHGJWO92B37
icdyOKtMhL7470RMW8l8/zkmVrfjLVRgTY5TKc69ME0isIQZlx1JMXY8jNxSQSSnYH3fuwiNSXgq
mgi2rMf3gRuQ5cXizAvTJgJLmHGBtuV461qR7IXppzLyCoOqWB7TtRqyzY4hGVNlbARhukRgCTNO
UhQU16lyNQXW4pb/EuYJEViCIJQMEViCIJQMEViCIJQMEViCIJQMEViCIJQMEViCIJQMEVjCaQxD
J370fqREN+qCD2Fxn3knIEEoBhFYwmnSqQS5w3dhCe+h78GDVH/8yzgrxCIaYW4QgSWcRkLHIudI
2gLk1lYwcuhhnBd9cE6cpZ59e6hfvARFUYvdFKFIRGAJpzF0E30vtMOIGeudtciuDUU7Q8eefoLs
P/8tUbsJvVZj+V/cQTyew+tdV7Q2CcUlAks4jYSBoUmEYzqj33yeNZ/ZVrQzpJtz2BsiaP5qTN06
kaeOoNb48V4oAqtcKeXSkZzPx8gkMpgspkKhKVTVjmJ64x7ygmxSSJltRA07RrcGpuK9RexyGv/G
DHpUhV4b8UeO4b56hXiRylhZBNbERC+K+jIDJ8ZxVViRFQVJqsTvvRxVFf0hv83IpHBlU4xOwFC4
ErmIVRWCK68kXtNBhdOBelmclGLFXVsaRQyF2THvAyuXyzIZO0wmG8bmV5iIpdE0Has1iWoaxe8v
kQ+AcXKHnsnuY0T3vIy8fi11te1IM1xm2JBNSLpGbYfCqn9bj9tTQbGYrTb8ja/VzfKDjdLX+8in
iPY9S01+iL2H26keghwyjuvfy8IP/FGxmzfnKeVQZthmM6HpElargs2mkOyLYh8cJb0kRykYH+yk
/ztfIzYwTtWnL0dv01H3/IAD35lg2Rf+cUaPZXV7aP3yXVPnrRCRou7624uFxom//Gu6dncS6XeQ
t8GKlU5si73Yqxpx161C+q0djiyjL2GLZBjOVeNKa+iGwmjShX13Dws/MKMv5bw07wOrIJPRp0aX
amschCMZcrt7mXhoF66v3k4p0MmTkXKkQgaZ0Rz1q72c2HMC6eAeIv0n8NUX6qXPHLmwj9lUB3zx
TUz2YVbBaq077YM/F2iZNH3/+0ukDuwhnbMQm3RhuPOMR0bxHouir2zD7rsb1RH8zd+Raz5N9oV/
QDHlsYUVTLrB4Kif1GSKi4r6bErDvA+swpwdh30BhqHQ1zdGoMKDdPF2pJZrqWptoxQoNjPNH7+S
3ff0k+5VcF7kxuJ0YfFbmTh2cMYDq5gy4XEyoVGUoJvh3gksnhexpWL0/q+HqPrCXfhaTr1m+WwG
LZtEzuTIW8zk4zqyomOgYve7Zv3qsPP/fI3M/l3okkylKUFFIEHw0mOYs9CbXY+r8QZki/e0v+Ne
fzmq4mRYNVOTTHBCcrEuI+Gsqp7Vts4X8z6wCny+9qlbIjGJpmepbPJhaj15FVEK3K5mslkfmz+u
kU9ooFuo3LiMZNNafG3Fmyc10wzDoP/pXzB64Fcs+sgm9v7oBOmeNLVbZJqW15PRxoBTgTXwwH3g
DWH8ci+JpW0c+bWMlTAZPFz6xY/hrgnManurLrmKPk3Dt/Np0ssuILj1UkyeBInhfhYsuwlPfdOb
/o7V58d66TW8vuBJrCGYnrIIrNc5HG+s02ugZdNTH5TXN52XJWNq2oNJtc2RL0UnrxIVpQIKO369
9g92oDpAoHrhjDx++MjDZBODZAMdjI4foLHhAoKVazn/DKzLPfh/OUz3nfdS6XRxZM0i6q5opLph
GUODk6fdO6npSKEBpPEBJlJ+JscMNNMQk+kMWl6b9dYGVq2bumm53GsjzyffL7Mbk+WtrALrjaJD
g4z+5wcYNSbpH3BRFYizsGqUrFJB5dX/gTM4M4Ew1+V2fR67I0fO/0cE/CqyXJxdpQsfeFUJYq1f
iBLIYjZbWbB0KYFAAFk24fef/hXeFJvAd3kLL+Wqpnr6bvx+FVbzKvb+zWNYlOx5a7fpPE+NMQyD
ZHKQvJbG5WyeOjfloqwDy2x3MLBPIiP7kH0B0nk7PVkr3rY1SFYXc0U+nyav9TE2FEa1QijUxd2f
PMzVq7Ns++xfgCVFrOs46qSGa+0mFPP05k4Zm77AZO4geRQcDh8O+yqKQ6KicR36Z5YWLrYwJAld
MqGYJWRZwuk4/e3a8t4PY0gZLrqmcGcDu1WZuiZe9ufbsfqKNx1jNnU/cj/ao/9OpFqn+rYbGOqJ
s2jFSspFWQdWMjSON6uSyubxLXCAaQh/Q5DqdReQzeZwMDdoWhRdf4lYaoIqp5VGLcyi2lFGXw4z
8MwTTPz658j9J3C4bOQrbFS2T69fS5KbcQaGie17Bnm8B/3Si4o26alwtSDbnWf82WvfuH5DtRde
IQfmN7S18O25VOm6Tmx8bCqsC09XLzwfi4rT5Z26Ag0f2oMzncRfpRLZ1wtJc2EeBeWirAMr0NwK
f/kVjEyanM2CouRA1ZGMOjyeGuaK+Pgo6YFBnP0Po+2Fkft1lsfc7FVaiNotGJEIajaH7ZbNhLKh
aXfkGoX+F1kiOljo0LJjzc/SExF+p55fPkDy0fvRJYmUZMKqaehbVtF25ZW4XB04LllI5Q0eZJ8T
X1Kna8d8mE579so6sAqzxCuWze7Xn1wyASYDk2pBlt9ZX4fJ7CLSk6HCFcDI9GD7wu0s8rrZ6LMQ
CY2S7Kwi81gITbEQqJ7+V9lcLkpsLI28aDUJix+/VayxLIZC31QmMUbUa+CQdCrbfYzu7GcyPEZ1
IoTLBZ6aDhQ5x9EfPUUkbqJmSXnNNi3rwJpt4c4DDDz4b8gX1DB6NMCaa6/DUz39MSRvZQueWz/7
m6VGufxL5HIJRnvjpH/1AmOag3jNKlxJM7Wp6bfT569ndDRCZd0EquLGPM0+MGFmaFqehqubWHCj
jZGRFMGgDd81y9E1A107+b6pqV6NYaxizUfeN9XPN9NLs+Y6EVizaOLZx4kdPERvT5bQk8dwmqpZ
/8Er39FjvT7LuzBypqpbMGwGmc4X4eevUnn5ClZ9bROJTB7DiEz7sZ2OGuxNQQxDm+oneadXgsK5
T1/JTC6l74SV+vrFZFI6x4/tJeAP0NR0aoT05PQJaa7MujmvRGDNokxzC9X7BwlsX0Vn0EztxoYZ
eVxJMk29V/2rN6D++f9Cr/YyGjJjsyewmN/ZVMSTQ+Pnd3hc1/OE+o6TC4+i2LOoVU2cOBRHzuVp
W9KIreLUkpZyEfDXTd1et27tFUVtz1wjAmsW+YI5tLVxzPFfcOWFKlnLRmDJjD1+oTSOf1PxCuyd
q0xmlEPf/Sa+zIvULRwguvmv+MndYxx8NsxXPtXEgk/8FfNBLpNkMjJMoLq12E0peWUVWKloP+PH
n2VSX0Y2Z2L1ppkLjzPJ+xZgLL+RSWqIqlaqnM3Mndldxacl41Br58SuCrI9Bj959Dg3fKqdd/1p
NYraTKnLZzKEHvkxoRO/xLnGgbfynzAVsSDifFBWZy9z9IfUHPkbvvKP16EEVrP6kdkNrNzwUdzP
/YD0ypvwLF+HYnp9AdBJodAQ0dFJNJM29UZuampGKWLBvPNNMXI4WpwYz6r0H2lAslgJVFrQNAlX
oPQXAyfDo0w89gBydhC11UpotJdgzYJiN6uklVVgHdwd5NjDV3FNYxR3Xc+sH8+YcBCzXQfmejze
QvmRU4E1Nn4cn38H+7/bxXe+8wxjzSG+851v0ty8hXJhrVjCmsv+GuOSk+fl2qm+NGlqguhcKyXz
TiguF/Xb+wj3dfPUA81sXJQpdpNK3rwPLEPXSHZ+n3v/bZQDj4+zbdkk61YfYjywftaPbeuoxrVp
M6l4lqGhNH7fqcXX2f4BQtkYkl9m2bZ6ghsXYlKs054VresRkBwlWp9eQipUOH0tm0o/ok7JplKE
Ro9j3vBx8kuS3P+tvaz4SGkUjJzL5nVgDXa9iqeiGS1yiIPPH2fNe1azZokFtT9L1648S2d7zl3S
wsA/P4jnlg/RsK7Q4e75zY8km4xqUViwvQL3WifVNXas5tNrJ/0uiWQ/Q4ceIti2AY93zdRwdzw+
is2WQNNqpqZACMUx/PxTqIsGycfT8NJxblvUizw5Kl6OczRvA2vk2c8TfeWHPP9iG5uv2MlH3uXB
tWEl2fRafv0LH6Py7E9iqe5YSvVXf3TGnxlOL8lYls57d3HBJzaRy7uwWKY3JSHUdQwsOfoO78ZY
5MFhdpBKvIDZmkfTLgRmZhqFMH3BdRvpPPAwmdERGisuZvUX76BxWfms+Zst8zawpFwUe/0iqteu
R/ImCQYkevZaie5+lYXWcVxLClc8My+djoG0l8jTx9D6olTf8ScoyptPs0lJkk/rWJJp9v/4AN7m
NlqnWYJK0TNIThWLFMNqe4Ho8TFykgnNW0smI2Mrr2Vmc4rV42PlpvcXuxnzzrwNrOCl35z69eTg
+P+Y+u9vL4pZNEvHTafHcNiOk9n1BPrObuLX3IK35s078+SidsZjefJXrCBnQGYiiaROrxfHnM9x
/Kd3YXdZiP1iKVLQx+QzRxm4+kKWXXPpDD4rQZgb5m1gFUtoQKf3rp+gLq4l+Pkb0QoFvs9AMVww
4mXpRi8Bv4Vw2ISsTC+wLI4UQW8Kv0sjNKKSTCpUBCpJ6xqSLDp43ygxcoD80EsYo3YS1VV4F1RO
7aKUzVZjtf7u/sNkPM1kvAurJc9DD+4hm9O4/robqKh6veCxMNtEYM2wxrYGdlisuLUwlmyS8PhG
AoGWN92vuqMRX8PvoVpNyJKEzzv9NXyuhTdiqdmIbFJxX2snZ5KQcxq6WcZieWM5aCF99D8ZfP7H
jJxYjPvypbhaF6BTCKxlbwqs3s4ugvXV2ByFutQnjQ71Eok9g9ur8c/f+hb7dwzi+HYF7/nYdeLk
nicisGbY+NA+Vv7tNUTCSUbjMczWtypGJ2F1nCoR+NrOWtMimyxYvac2OiifQrnvTPfjUfZ0XcL1
X1xNOJ2n/1iCYL2NPT84zGWfPNUhPnxigAdu/HsWfnA9q2/cgL3Kg8OjYHdGsblUfvm9Ef7yzmu5
8vdWMD5sJZ/Pn7GfUph54izPsHz0KPlDd2Ntu5zKBe2E+kU1vLmi8er3EH7lCGORSkaHk/jcJrr3
mlh06emjd9lUnOb6EVK7f8bzux5kzSfbsF24ms4nYhx98ChHDYVPf2gxTz3cR1Wln/qGMiybUCQi
sGaYnQns8S7G9j1O+MjLmBf/9UwfomwZho5u6KAbU7PhdU3HpJqmqlecTa2V4IYtbN9wciXB2y3K
Uh0exmxpMoadHQM1OGNBanQD3WwllTUzPDzM+rU/YrXnSu78wqW/2XhWmH0isGa4AJulvQOt48uE
H3+GRLqR5RXLKKrXtjB7fQuqUjY6tp/Y5DHSh3rwNTgZ3TfBoltXYhjLsdtmrqR1oVz0ADbscRsm
SSUQMMPYcZZefANb333HjB1HmD4RWDNIz6VIHngCm3IC16I1pE5kGBzcgzcWpLKu/fxeiej6VEXK
yDOfZjCUZelN38JU4v0s6XSCicl+4iO9mN02Rg8M0HpDFSa5Y0aPU1UT5JPf/RcKxTxzmozNIaMo
eXySc6ri69c/8z22XLOaLVevo5gevPu/cHb+CvuiRoYkL1f+/vuxuc7cZzpflPY7+HfQNI2J8dGp
+U1SXiMxksYRcOOtnZ1tVSQ0HNHDyOFfk7YFqaiporZ6F9GnfwZ1T8zIMQpBFA+NY5DHZLWhyiq5
TAJNllFNJiZCYRy/3ko8afDQDy9jy5ZXUXImBuzfovHaT1LKmhovxPRqL+5f3EfsSDUL7IdRHnoC
8/ZfwAx+TgtXo+7Am6cqJGJH0PQXySS7efJ7YRL7j7D6xosJttdTDN0v/Jqt8cM8sXOcSMKHL1/D
1j++gflsXgfW8//vIZrsdzNs6aDnZyZCXVCzdgE3fuOPZ+V4JouHtG8z9rEnsaWOceKpGGnLRVR0
fGrGjhF++TkO/uQHNF2m4dt4DX337sRu2UnOCl5rnpRjBc4VNxK9/wW89iSTnUH8uSwJ23H0q7SS
72+puHg7WmMzWacFUz6NxZtD9pyfki16PgWSxuoOjb1PD8JYkqHD1UULrMs+uoaX/yHGL/eoVPkk
jhw8zlbmt3kdWLo5gqSP4EyDadyKpARxrMhO9TXNRiG1wr/MoWQA4gqR/UPUDoxh3XIbwZUzVxU0
lwpR532WXKyGya5Oujs7WdJ8ED1lAjlBLKVi2bKNZLKHBY4Qrlye6IIsCxfvI5eOY3GcWoBdiqw+
P/g2nvc9Iws72mTzcZwuBXsmweqbGrjsDxrIpIu3Mf3zj2YxQm42r4POkIXF18z3uJrngdW4qRbp
1yns2gCLrR46FsrYNnjIZFLY7bNT+1PXFXr6a8l7TFT6Q0jemS2a4mrxYvRk8SZ2cvzuGA2TJuQ2
nch4JdH9TdiyCcKdD9C67iiHYh3kRy0YYZnxlyqpvTgJJR5YxVTY2jQRzzF2RCaXUTh21ElLc3Gu
rgpu+ZPfY3DTCqw+D566QhfE/J9xP68Dq6nxUnjPy1O/H1x7HKvNir+5ZWpm+Gypal/AaFcWkz9I
rHYbDU0rZvTxHY0X4Xjfq/Qf3UlgQ4CxrmNYfN0EbasZSvyE3OqNJB1O+m0xamxZYlYnNgzcNivm
eboUuJ0cAAASMklEQVR9+/lQuHpWcz4mnz5MaDDOfzzzXf7bPRGeeuoJFi8uzlWWr8KH74oLKCfz
OrBkWYHCDahfNrPB8VZc1avJXPsdGDmCxV6Dw3FyyYeu5YntfYWcriO1FJbO1OF0TP9f56k5R6qT
hiUnv2bWdiyf+tVfeI4rL5nhZyP8NrungWS6gUuulOiq6KAqJ+F2iyr959O8DqxiKNRkr67eDIXb
b9FTKTq/969kU1HW/tN1xOPaOwosoXjMDie1H/oEFZk0n08mkVUzTuf8nkYw14jAOg8y6SzpVJ7O
3jrik26axtJYLKU/kbNcmS3WqZtw/onAmkWJaITYvr386GfdhMYSZMaTFOZuHrlvhAWXr4QzFBjV
de21TU0FQXgjEVizaOQH3yHy6CPs2tXMcMaB2arS2Gzl0D0DVC0x4A3daiMju7E59jI0pFFfe9Nv
+r8EQThJBNYssq1rpsazh493yFgbvJgtJ8j6v8xkPEf71jPU95ZSJAYnqPVbSaV3YLFsRVEsp81y
lwvrRYQZUZjekkg9QWJonMwrKZpv/RCK+Ko3p4nAmkXexZeQSn4Iz45DpIa7MdqDvPCVn+FqrmPF
tZuw2E7vBzGZVEa+9STSbevxrrZxou8BgpUXkUqFCEcOwGSWrsd0LvvUezDbTgWZ8M6kEwnGX92P
EY6Q+fkrjG29lpqGRnE65zARWLPI5g5i3fZ18pWPsWDPzfQckWmpMlN5xYapNY1v5PetYeSKq7At
tdBzYIyGFjcjx14gnY8RbMoTTqfpfugIuY/cIAJrBigWhWxOJ6uo5D9+FShiIGSuE4E1y7ITURIP
/pxQtI3de1rJJh1setclZ/xqV5ic6F9yIZGRl4h97zm6rTKRwQyd+XYu/+s2ZLPEJV9djMU9exNf
y4mW1ciPTCKZNPInutEbRLHFuU4E1ixLRcLEegbRfEtRmhuRTVU4as+8X+Ar3/4GzgNPkb99C7aK
XoY7fcRlBaupn4FXHegVDpZtaEMqi34sY6pMzuu0vIFJkWd0C/tCAcB8VsOs6BhmG0wVAhTmMhFY
syzTeww9HKIzt4Ytf74IX+O1b3lfT6OVnFmlStuHdHED3gUZ7MldRLv9xB4YxPPBP8Pnmd/lQ14X
i3eiG13E4zkcdpV7/qaLD312JV7fehRlZuZAFfoBAwsCDI1kyCs27K5TG04Ic5MIrFlWceE2ojtf
wPX4ASYOXkzd26w7C2xeSP7hbyAfS+N671ew9h/B/OIOxsbtyHkJRS2fr4KpZAxDHySb1TBJCl0v
Hyb6kob7ijUz9q612V04lt/ColUmXK4KFEXMWp/rRGDNMpPFgrtjCR3jw1SuaHvbUsUO+xYiG7+L
k3EmQu0kswG8q1bhqvdP9Qf7LjhZj/x3MXSd5OQE+VwGqbCcUgKz1YXZer6LspydoaN9xMMDeO15
zLUBpGSIF775HH2/6OHmR9ZAXuPTHUeQn06jb0oVNmScsZIx1pEYFPqwrDImk2NelJKez+Z9YBVm
jhcKgxRz/lLw6ptJbbkcZ6GW09uwWGxUt1089fupLydVJxc2e6bxXAtVVkPHjjDww2+R909ib3ZR
azqB7l6I6cK/w/Rb87rmime+9RMssZ9S6bRTf8cKHIfvw63XULX5FgJV29F1A+udK1AsDszumZtM
Wwj1ka99DqnCTOV/u5pM9ka83jMsPxDmjHkdWKlUgkz2p4VCMzgdF6DrhVGgQkeugaq6ztu/poVa
6r8rrM7V8AvP0PPju2i78yJwpHFujNF+1bV07T6C+dDjZKMx0ksmcASCzDVtCyfJHkvT2tHJ8FMG
1R/7K+RciCXNG7BYTu67aFvVPPMH1rOEzTJmWUcfCuMJxkEE1pw2rwOrcFVV2DMmk+4hmRwlHB6m
usaGrjlwu6/CavEQCvWRzw9ht1fhcp3alLTUJAY68S4IIEsBLFYFS50NLR9Edls5nrgdb86MUzn3
PrDYeJTQ4X6q1yzAarfNSNsrm5pIyasw1TTizLZiUENlmwdP5ezWmcpjwrzCjmrJo8T6MKrEKOFc
N68Dq/AVK5GUsdvzIMXp7j5Zv8hiWYiqOKaGzaMTe6iqDpOJH+fg7uepW9GGSVmIs8Qqczq3NKCq
EgODUYLBdTQseRdIBsrRR5ArO4g6HUz2HmLoaI7Lbtj8jnYqDvUN89gX72ViRy/r/vu1rL1t+4y0
vf6q92Jo70aSDXy6hKyaWHjBySvT2SSbZAKXbSUejTIRG8RmiP6ruW5eB1aBxXwZyeTk1BXU5k2n
h1AhsGITSZIjR1D2H6NRfZRo9V/grOxD067FZHrn/T2F/qRsdhRN00HSsVqqp5bezJbI3p14T/wL
Unobg7WTVN28hn+95W+hu4dFTQPU/ukWsHr53Cc6sZodbH3X9Leo2n//C4w+d5S0XWd816tkrt+C
xXHuUwHkQn39N9TYn4GLwd/QshkO3XU7NvNL9EYW4920DdWqEO/V8NSMoSVzDDyfJLio0N8pzGXz
PrAcjuqp25kZuFw6NS01DEtmjo9asU3EMY3+HOfaywpDfO/4uOl0GOTniSeSWK0QTa8n4F/EbNEy
ceSkRmpHD/kmB9wMDZdZkIeqkLM53I0K+p7v8r4rqvG9wzCwtPiYtGRRFJW+5/qJ9vZTtWQhc10q
leP+Jy2sqW7C5rOSm9olWsJqsuBdcD1yJoTH0kmw+q3eJ8JcMe8D6+1J6FSQV8zYmv0o9c1YLTKJ
8Hok9dyGzrOJHEM7D5I91IX6QhfyJ6oJXPzWgVXYyScceZYjv/wF6Yd3IwcNFl/XgRZcjrd9Napp
CWbzW7dJbtuI2lqBe9cj5LTU1J8tu2kjRt8eonuzDKc8HDmwnJb3teLwT/9lL1SK8E6c4Ibm4zzd
vYjq5mGG+g+WRGD1dQ3x6j43l2LGb4a0ItO80Ed/f5Lqig3IZjO0FLuVwtko68AqLPNob7t86veq
KUEqFZ8aOaxv9ZzzNmBGOoWv+8eF2shMdiwjPjT4tsX5Cj8bHxrB6zSjV9qR6IPIsxhNDRhGD5pW
GBB468DK9oYYHOpG3eInrp/8mlZTvY1JbQFKzSAZ7RBWq4fKKhfB9jMvDXo7kdAE93zlSW5Y6mPJ
nfWM7XAztGuQVTPTjTWrFi5v5ZP/dAceNYLdpWCr9ZFISNRt9CKV0WTc+aCsA+u32WyOqdtMMXu8
pN0S5monyaMOIg/ex1Pjr+JrtlJ3wbuwmOvweE4N1SfjGR67p4frP12P88Jmhl54gh5zE6aIimZJ
UlWlv/3x9vZgCQ1T89+vwps/NbrmrmvATT26vpbaz7xvqqN5aiOLafJXeFl68wIm9SxX3dHCC6kT
REKl0edjUkxcdM36YjdDmAEisGaJzeljUP0o0qt7oLYGl0/HYRnD67VhMh0hr8eBU4FlNqu0VVsJ
VtsY6ksRuOBSqhQJ1WzCanGha29/JdDw/o8y9MJjxAcVEnkLnDbdqjBxtjDl/Z0/n8KV581/8gf0
7DxMKGRl6W2tmEzF20RUKE8isGZxDljrzR9GvzKO7HCQHB/DkLKYLTlkhw9JOr1DXzLyVGX3M/LD
/Xzp2xfQvkRi+9YTSDZwRTqou3XLa9Pfz8xZW0/bTXeQj03gs8zM/Kg38lbWsurq2ll5bEE4GyKw
ZpFJVTF5T+7G66qpe9v7mu0O3EsWo090oshW1HiK6swYGU1GCum/2V/x7RTKzqie+b/7b7GJUtXF
IwJrDl2Rtb/7z5iMvJ8vXGegyDqFefpmQ8LpdGF1ig0754KhA7tJdu7A5o7iaF2Lp/WyYjeprIjA
mmPcvireXDxZmCt0Xw/Z1gSugz8gPfLveFr3F6UduUycdDo9NYDicJ6cEC0VynJMzTGbv0RgCcI0
TI4mcee7STZtJJyroqoIZ2+i+1fkX7wTw0hxML2WeH8Kb1Cn7frPE6yd36OhIrAEYRrcoVdwD97L
qGUpeqIftp3/06fv+yp6apwD3UsxrINsbTlI0t6OLM/OYMtcIgJLEKYhEe4mnqtBdjmRPIuLc+4W
foyuyb2YGg1caoQRVyuBxTfhChapPeeRCCxBmIZcw0WY8k3o4R5yI4NFOXe+RTeyYdGNlCMRWIIw
DVXtLdhVB/rTT+KeKgZ5diaOdXLoi3+OdskiJrrDVNvrkFvrscsStRddjzNYjN6w0iMCSxCmwW7b
RDzcRTJ5DTnb2VdvzYwNY0vGIJ3C7FGJ7HgJee/LmFbVk6zrEIF1lkRgCcI02O1B7LZKtBtXIZnO
fk2m7HCSk0yoz3bizmWJK1YqM0ksO49hukrMsTtbIrAEYbokCZNlensjejqWYr7hfZCMkVPyeFXQ
0yoWrxdX++zVSZtvRGAJwnmgWqyseN8fiHN9jkRgCYJQMkRgCcIM2PXMQSLjkyQnU2z//c1YrGZx
XmeBCCxBOEc9x/r47E13IZl1zIqZliW1LLug47T7aPkcA/t+iiZX4qlaOlVIMTXaj7bjWXw3vBeH
X9QWOxsisAThHJmkDKuaQ0g2ExbdgZXMm+4TP3Y/9Yc+xE/v207PYBWbtr2Kv8s8NVqoti3FcdGl
4nU4CyKwBOEcKYbB9vZx0oE8ja1JHME3V4fNJCoYeqUDhyXDlVc/h9WW4fjhDvpCVVR53r5WmnCK
CCxBOEeKQ0JfW00ukSA5KVF1hlrUcgYs4TpqKiWa2/KkMjai+QBSQkWf3xVhZpQILEE4RyaTkwpr
DFPWhNnuJzE2SPzZpwhedSP2ypNLbrzrNmEL1uDChOTMYsnBxSsn0CcnCbZNfxejciUCSxDOkT9Y
Te76r1GjKpgsJhKPPEj2pz/gSDiM1rIIs5HHqAvQvnQDFb+1M5Nb5NS0icAShBlQ1dQ69auWzxOK
x4koZkzPPUbu+cfx5DLkrl3LRIOBzTa9ksq5XHaqhrzZbJ7aR7PcicAShBlU2A4tZvHTn/bSYR4n
a1IZW9lG89aFOOzLpvVY0Wg/irqToYNHmHxinJp126i97OqppUHlSgSWIMwgXTcI9ajEQ26sS3QM
iw3TogX4m2pJJ6d3hZTPJ7BawqS7XsSxN0RCkTAuuXJai67nGxFYgjCTHyhVYdX7L6Fx4yIqFvnA
5kAyF1Y6K3g83mk9VjptYXDPqzRkX2Tk8hXkGp0Y0nzfZuLticAShBkWbK+fup2rWOcPcTe3kw68
h4r6pZitFeX8bXCKCCxBmAW5bJbJQ7tJWXToGoKgD2MyhpHNgaRiamuisqEZs/mtN3Wrbt1ETB7H
2V5PaDyPmrXgcpR3YonAEoRZMPLsE2S++w+EFjfg3XWE1NblWH99gLQhYzhtVH/uCsb6mqlbcNNb
Poav5SKcucLegzp1tRKyLJX9SKEILEGYBZlgnvyyWoxFjUwk0nQ9GsWleKjb3oj/mmUoO/8PNlsD
vE1gFajq9AoFzncisARhFtS2bST24UrMiX7yLhXr6DC12RiqJmN3VaEt/p+YbdPrhBdEYAnCWTMM
A8Mo7JRzqh+p8DXtTON2Nlvl1I1KoBna3zhfVFSTeUfEFZYgnAVD1xn6yQ/IycPQVo2rtplId5jK
jlW43Y1nDC1h5onAEoSzoetM3H8vuMewVq7BsQg6+49hrfPgdDa8dqUlzDYRWIJwFpLxcXyXdhGJ
azz19QlWbHuO9XdeRGzCgSyLNX7niwgsQTibD4rZiuFdiCSnsFXVkEuE6Hv8AUyBS/CsXo0si4/S
+SDOsiCcBYvdS81ND1IDLLoDYvFDWK37SacXibA6j0RgCcI7YLO2kdcC2KxiasL5JAJLEN7JB0dR
UZSgOHfnmQgsQTgP8vkU4SP7QEtiuCtJhjJULvTicLRM1dASzo4ILEE4DxNOI9GDDD50D/7NLWiW
AMefHqV6aSv9RyZp6FglXoOzJAJLEGaZpuXJ5cZx37Qam03m4Csxvv8fh/mTu7/L399xOw1/JQLr
bInAEoRZZ2CzmnC5nYy83M/zD8Y5elxjIgfRitN3iBbenggsQZhthszx56LkY8PI9z/L6LE8mtfE
ysjVtLUsFOd/GkRgCcJ5KJvcvu4SJgdX4rvrj/jLVAa700E+q+MLeMT5nwYRWIJwHniqA1O3AqeY
uvWOicASBKFkiMASBKFkiMASBKFkiMASBKFkiMASBKFkiMASBKFkiMASBKFkiMASBKFkiMASBKFk
iMASBKFkiMASBKFkiMASBKFkiMASBKFkiMASBKFkiMASBKFkiMASBKFkiMASBIFS8f8BzeQgKK9d
uWgAAAAASUVORK5CYII=</Data>
</Thumbnail>
</Binary>
</metadata>
