<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230502</CreaDate>
<CreaTime>11353600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>BLM_CO_Seasonal_Closures</resTitle>
</idCitation>
<searchKeys>
<keyword>biota</keyword>
<keyword>boundaries</keyword>
<keyword>CO</keyword>
<keyword>Recreation</keyword>
<keyword>Wildlife</keyword>
</searchKeys>
<idPurp>The seasonal closure standardized dataset is intended to help answer questions about seasonal closure locations on public lands.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The seasonal closure standardized dataset is intended to help answer questions about seasonal closure locations on public lands. These areas are usually closed by locked gates for a period of time to reduce disturbance to wintering wildlife during the most stressful time of the year. This standardized dataset will be used to collect data used for seasonal closers per field office&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>BLM Colorado</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;These data are provided by Bureau of Land Management (BLM) "as is" and might contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the sources from which they were derived, and both scale and accuracy may vary across the data set. These data might not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJztvVlzXFmWnbnOcAefMXFmDJkZmRGZqcxWK1tVJbWZTF1metJ7
/7L+E/oFeul+UD/UQ1m1lDV0VVZWZJAxMIJBEiAGn+50jmztc6/DiSAJMkCQAHi+MATcHdf9ugPu
i/vss/fa1nvvEYlEIpcA+66fQCQSibwqUbAikcilIQpWJBK5NETBikQil4YoWJFI5NIQBSsSiVwa
omBFIpFLQxSsyMXGtd8V4BygNeB5mT/yQKLe8fOLvFWiYEUuNBQmilS47EW0jFHgTU3dAIl5108x
8haJghW50NQa6CRJGQXV9mUwsEqjWL13RMGKXHAYV+mVSCkVvkfeT6JgRS40SStWhELF1tfGOWgo
KKqXjvL1PhEFK3KhUU2bdfdMXlGm5Bu8dyG/Fd/C7xVRsCIXm0UFlAVq72D7PSauJKpS/HrXzy3y
1omCFbnQFI8eYb5coNHAcGOCfHMCpOFty/x72C+MvC9EwYpcaLL7f4D76jHU0iH/9KfAv/0V6mwI
Cws1bYDhu36GkbdJFKzIhWY2HsDf9EgqA789gU8MirY+K+3FGqz3jShYkQtN/tkvYaZFKMiaDFBk
KZYiWDVSE9++7xvxLx650NTDTZgBy9q5PRhu06ihQ3OOXIu8P0TBilxomFiv1noGE3nTGhhvQlNh
1Kv3iihYkQtN7kOTc+MB035JCSm/c35KLBx9r4iCFbnYUJNMWBEKblXPgDq+gd87omBFLjbVAk2i
UWuLBgoplUopqcuqoeIb+D0jClbkYpP1JNe+KmBoc1bP3PZSKgnHvDeoatachmRYVXhYrdAo2tWE
puqT96uqEknKjH/kohAFK3KlqcoGSZpKo7TRx1uNSaZ+8AFwTYO6rqG1hk0NkrT3jp515EVEwYpc
aRx3EyUsc4CvAF9LOOXqEroLrSS80tCWEVjYffS+dYOIXCiiYEWuNMayECKg6PigNC/IUpDZfPo/
OFfB+xpGClH5cw3X0NHUIc1i3cRFIgpW5EpjxESLgVUNrRhRGTSwqGzIbrkFRQywllKl4OHRNDWs
TmHSGGFdNKJgRa40sqrz7QALm6CsNb58dIgnsxLZeBt797/FzvYAd+9sQtmQ4WqaggktJFweRi4U
UbAi7wEeRgcfre8fFfjrv7uHzx/NMdyeQe/PMfhuhseHS3z2yU3cGCskaQZXVXAloLMoWheJKFiR
K49vGihjpd50VjT48rsDfP7gCBvVBj4ebePet/fxzYP7ONh/iL/4N5/i9kYfCXNfDMsiF4ooWJEr
TVUt4fUC0ClmGODzh8CXD3JYO8Cnn36GSf3P+OSjD/Dph3+GLz//J2z2MhjW0HuFplJSo/Uy6tox
LdZ2CNG22a/FdW1hq7OhLJ/o4y8fS19fmyhYkStNonNuFUohaFN73BrX+PkHwPcHjzF/9Nf45JMP
MUhGqCtgMBiIYbxnTb1WMMnpO4SSx+8SZW3a/nj2ayiXEIE63qwEFI9g3T6/x4/g6xB/W5GrDWtF
PbcAa/RMg19/PIDGTfzLtwVKf4BcO/QzjcODfYxGIySWMqLBgodXMY0PkRX3FhW8C3fo7kYd86sr
FKeqFanVvd/4y73qRMGKXGk4HJqFDDKAVXv0co2NcYrxQY6jwmMxO0JmB9jd28Pgw5siJw2LSNeE
5+UET65OrOR+a3dsqjYK03TwCgIVVpksUH01UYwcEwUrcqVx/ZBVMjLhUOHJ/hH+eO8B/vGLXZQ+
w28+tai9xrzy2D2c48lRH6OswoTTefwrPH6IreTyD0XOwVCUiDjhJMF2kJe7x46C9VpEwYpcaWos
YJDJ/EJqhNMGjU7RqAnKZoLK9lCoHHUyxL0Hj9EfaXx0vRcE6xXFxK1NpRakor4C3BIodgE/BNIJ
lOfzCDZekR9HFKzIFceFCTvt0uzauI/f/vqnqOwRvnro8Kdvn2A0stAqwx+/+h7Xbgzw4fXRKz/6
c7WHJ6sOUFVHqB/+P0iHd2HGnwG9j8NYMvEfbKAUx2n03+SLvfJEwYpcafrIQ+Kd2oAl1LDB9XGK
jYnCP3/xCP/w1T3cuNbgzu0P8d3ePmZFBdXVMnDqtD4tMc69wDa0EmNBJ5FVXU9RlofY/favMNj6
DCPVR2p3gHQsgqVklMYsCtZrEgUrcqXx3kpkFeYX5nKbrir82d0Rfnerj3vTX+G7B19jenAPf/Gf
f4Off3QX2z3dJulPH3JhuA2otBgKlvKBWkK7Kdz0MZqD73Hz1v+BCmNoew2w4fyBDM750/Uw8gxR
sCJXGu/9D2xirLVym3MOPxul2Oz/BMVsG6N+H5NxKmLlnYNa1SS8GMUMOncBV0n3BLA9pPkErqph
yylqb4JoSmkDTlSQRl6HKFiRK83zPK14G0ULrWTcmmhgvCFJ85WEvGroQx8apaC1aSusqF4DoL+D
BCmqgwdonELDHUNUcJ5mgkGsuGsYeT2iYEWuNKeZ8BkXemZYJ9XVRTVNIwL0SruE7RSfVfAkQsco
awLdS1Ef5ah9IrVXqXPwijVhXf1VFKzXJQpW5L1eIipJVpGmdSWl26iHb83+TtUs00ZiPLBpy0g1
76fhtEY6vANqYpJNAGugmlDWEMuvfhxRsCLvDRSi9e8ktAGyzkAGHYaGZRuWbK9ULsXlnRRX8XIT
Kt51e19lkEx+AlM56IQJ90TEjFpIxRKPruhe81pEwYq8N6xHVp1olTX1hf7twfddLN7lJ679/vJc
FqMoKWxQvK9/5n4h+NqCkt3G7sQxtjoLUbAi790uIeluowupHCdBT1gCet/A+Vrua816KcIP4WzE
bsyF0r5tuTkWKO81ikoj4WaiYVTFgtEQVsWShtcnClbk3XcntwnubmV2HNM4oNJomBvSNZK0BNwM
mO4Ci1nYodv8UHJDSHpi2OKRonYKujEyd1CLqftrfgCUgWlF5TTSk2UKJ05HXczXNE9H2+UzEQUr
8m5Z241bpZZavyhJ9iT7MGaGYv9bLKqnMKqGdg2qeYnlvMBmaqCTMUzGoRETET3RKGkFjMPsrxpR
sCLvlmMzA9EnI/medn5gscDhk7/B8ugRjna/gqum2NrYxOb1u7C9EYomRXX4NWC2YBILnWcwWQ56
9kE38CigOFkicmWIf83IOyWkqdtyJt1dq4Fyhmp+hBw5+r1NDAczLA89BnUPGtvQ9jpoqNDPZ+1W
3y4aV0CrLUCzeTmBUnFy81UjClbknSJzHlapn+MEUF2WWCwW6CkPOxjA+g1gcYhiMUN6+BRq0kea
ZICfAP4Qhfsay2ohx/XMz6HTnzDxFbtfrhhRsCLvFt/AwKzVPLHi3MCrFDA5Hh8+wYQNzG6Bfb9E
UR/BFQpjN0cv7aOY/StJWhW+xrKZy/RmU82RGO7yWUhJVeTKEAUr8k4Rt4O28jtc1FAqhc1H6OkU
4+0/4yQJoDiE691FOX2IBFOUs13U+1/D3voN8uwGMnMb49JJ4zEGW/LWZu165GoRBSvybukGzrQl
DfwybIkxPSS9DGg2QtdMAgy3fgYMvoOb3sfs0T9h+mQXyY09WP0RrPmQNQPhWE7pshWW7nsM9I34
F75CRMF6bxA38WOLTDbgOofGhoaUdVaGdNIczPCn9XySnpIgKLKlJ0VTZ2zgrTVYVelVCY8EXrHQ
MpQmWBm5NWMYJl5TVZYgwU+h5hmsPcL1ayVm5TXMqy+g098jS28hyX4DqCEaKpwenO25RS4cUbDe
K9YLG5mQVqd3zNV1m1aiaNnj6vHGh2kKx5WTP462PjOIJttaNJJuMKmqodxAdNZoD0NbmLxGnc6w
SPbh7T7GahfL4hGWR7tobI3+cAfJ+BPYnO0yZ3xukQtHFKwrz8r35LjeiUuvdmrCy/wIpJDTpD8c
B6MUvAlDGs6sCe0DUPscahhlpZ9YarHcFJhZVKpAqUr0ByMwi27zDLq3I20uOPwcWD5GXU1hsgQq
OwDcXBw9Y1/x1SMK1pXHwYs6haWd1DytqYy4qFB41m9rc0kSSa21thwvHVulemOKECxdtAgorzmg
nqEodlFO/xGGbTfOoKi3kW/cBbJrGA1/h7KYYfrwv6AxFdJ0iGy8BTscAjnDPgsn03IiV4koWFcc
ikzwDjdi/culVuOq1kmgBl5QXBkEbF3FGpjOpU4M6N6QWq2muXPd2WbPvENTLbCYH8CqOfqpRbUo
sNjdR14dAZObgElExBZ2jHQ4RG/jOpLxR0DvpuTV2JRTI2ld3CNXhShY7802XHvNO7hiBuglbMY+
vuz4UHGWO8798LtrdPBsErEK7pwhl2WCO/AZdav1yZPh8DIZWdasFqCvVN0gsx+LqCbFIxzu3cf+
9J+RHfVRY4iiHiC//VukvTGSISfSbKJGLstLRpExurp6RMG64ogIMCDqdKsq0CyeomkOYfoK6I1l
OcaBDJ3tiqEPSme/orsdQeaUuFfXttAoE352RkK+qo3c2nHvfJ7G5uilA9TVIfRsinq6B1s8hls+
wOFRBWQ3Md78BPm1/wCYAWBGMmKey0mDEsZzFDyz92d+ipELRBSs9wDxfgqGmkBdwC2naOp9WE8n
zKWIFb9W3lHWwiRMqre2B3WBYvoU1fJQHi/Jx8iGW6FI86wcT32QiK3VQsD0kGVDPHX/A8tZAVsd
YJAX8HWDw5lHnm2gt/UbOMv5XcOVH7sWE75WXGsFpLG04SoRBeusNNz2P/41OqlVcmvmbO/2V2zY
T0fEb8qjyTLo7VtwzRZmTYUN+pfv3cPB3j+hdocYbm4j3fklkP4CNXfapLTgIbLZ36I5+g51uokm
/xVqHabMnD2TRRHMJEHuRKgorAtg/p1MT9483MV8rtEkE/iNWzIMNZ3tgxVZOPgTiuEN2KREYicw
vM1bNGzloVtDymgrcpWIgnVW1sRK/oVvRziRELHgndINLw5VDArWJLBmFASCy8Clg8pH6I/uoPET
mKSPukmgmxrKML+l0SxrFIsaFW+3A2T5CMZkb6T1hWVe1ppQ4c7n6YFmuo/po2/gy13k6Qcwoz6y
ZCDFpXWzC60qNHWN2s3F7/O0yTiRq0MUrLPStpSEnbg2Yd3muF2jYN71b1iFwQrhM308yVijB831
V1bBZNcx7I+ApgzTYkwfnsl3OMmBlY1G5XpwxiPr7cDkE3nrSB7+jDkia/vw7dsw/L8GqilcfQiL
AlN8jHF/GyrNURaPsayOJEvlmxJ1McMWK+2Zq4pzaN4L3vXH6dIjbXBhUIoMIpBcSssp7rxvBb0a
gNDNJpZb21FWLABl7VMKRQ8p7thJtWjdRi2VLNeSZAQ9vCaV52n/RhgUykio9ND52V5k074F6dcn
F30FYzyGgwxJlqDfvwmTjyU73ysdEjtFufTQiYceWGiVQZ0YSBoGSdAu+QL8ASJvlChYZ6Qba6c4
cI6LJIpWycs2VIm/422qMMnleIkqZZnOh3FUfMbayN6aJLu7eXnKwPlCaq+ovybrw27eCQqcTeBB
HyoWnb8ZQaBnu19buzaNl/HuCa1ikiP4BZd+XJ7WMM5ClX2k6Qh6fBNOsdKqGwNxXNMaiFuEV40o
WGdFdt+43b8EVAmUC5SLJRKTQfWGYt97Uf7EXarHUGj0epU5UFMvKELcHBTHhAzOl+F2Y6GSkUQ5
FCuRY6l0P/uakDVTUkWx6nOkLUyCpcvRLDkl+QmKKaBdin6Wo6k9FlUOlW4iT29DayuWNFIS8cxT
iWJ1FYmCdVa4NJovUDd70GrBK6iKJRyrrN0Q2HjHguXXakK7z7A68QZgHk4uMGfVbRxQ4NK27rSr
bLeopOUlxDRKpOuMwqBKaObDmHGX52pgh9tIDAtWG2RGI000rM+gDA8o5TnbdJv1FWEZG8rjz/Y8
IpeCKFhnxQNVOceSbSR2Bo0CTbmA8hq1n8Nu/BoXBdY5HYtVyG1pipFm7RKHNtSS96kpIN4GUZLt
xbCpoDSr0YGKPnmuhtVMPJ3NXsaxIFVOolGVNRIOk0hHGKZc6tVwTSq5rJAsZCvRXKK7EplYzozU
s/2Ix6PnY4R1FYmCdRrMO1ugUBVqiQWMZFPc9DGK/Yfo+V2Ycgu9wYfIxgCK/x9l/aXcr56PUGIh
9zHy/y6KaHkLOWGv2JcXziszQ1UF75dQjmu/vC2kCqUYCsnxG6J9bsE9ho4N4RJlJJfDJc4Juic1
XozOHJrWIsaGzBiOUEItLIZtxT31rUEhVjFUHJMNUHsHozySrGvNCUtP+OzEKHeecyxPjX+D7IQu
hU7EYzevWIN19YiCdRrtByL4jrPjjaI0h5t/j3rxFQ5n/w1V9nPkoxpZwh20EZr9LTR1iuHwLkqv
odnGspYUPhatN1AXcAoOBZzSkpNihFKX+1gsDmCRoNebAOnGGc/Q2oUK4fdz7EbjMGoodPfgl3+C
8xnq5BNkAxaAUrwO6X4Fxx1L18BJH2P7dcZnFbmaRME6hcaxap0fIH60xPwS8Eew7ntk7kscqT2k
vTmc28Xy0MC4ArNFDW1z4OYOrNRnPStUXSnE2xCsxi2hTU8q1rk5UBVPsZztITEJcqOgzipY0vZD
x9DuBfL1OLimhKtr2N17qI/+OxbVH1ClfWA4he5NYE0fTTOWZaW0K3otE3RYBybOEu1SNBJZJwrW
Kbi2jkkSw1Ki1ACLA9Sz71EuvoXCLzAa/xoNrmE6LZHpUpLFld4D1JfQZbvs4ohyugh0xnj67VTB
K53DcEknifMG1uTIkgyZTqFowndmgt0ChSZERl4cIapihmq5wNN/+r9QHDXI+tsY3tmCSxao/J9g
1a/DElnW3Bw8YWTiDXcNu4elQV8c7R5ZJwrWKdiTpepFgWK2wHS2QLmssSgG2NJsaUmRLwpk2QB5
fhv78wPsPjrEdvYUyNhvyBxOKkFDm/Z5K1j0jqeVqgxJuiUlF/AJYNg4fEYkwGIhVYiKKFhUdnpn
1apCku1jtpcib3bQG/4O2PyAW3xwbioFq/XhU9j+sK2uD7Ywq00/cZCImajIMVGwXgE2NAePcS1u
lna0g57+FL1mjPLhAZpmD755jMX0AFm9AwxvYiPbwbRRaOYPYVijZa2IlqcFsDwqP53rHuvnA6NC
dtvwsy9LU4qUbQWrK4I/E0F+V83ebaW/SRT6zqL/i/8TSD+HRx/obwL1nXCX6hsUxd+hnH2I3Csk
I9Z92da6ue3LjKUKkRNEwToFtoxIUthW4jcu1ivjO+hP2E/3S3yYPUTZPMJ0+kcUR99CHfQxWXwE
jO6gl/RQHD5AZmuY/iDsynFpuYoi3sbWeyW7f11tpZjyMQ5qLY7P/gbg0jZIy6qioKa1Sxk8tLb+
EkP1MXxzBGcc3PJQln+onqA5fARlbocJgt6JO2rT9j1KXCXVqZHIMVGwTiFEVqw/KtDIpj3tSyg4
Q1g1lCJHHDBH9BV6eQl39BBP9x4A1Rbq3gB5uQlXDSQZH4bmtbytOkdVSEsN66ooWA3KIFjn8AZg
bq4pC9TFXDzZVbNEba5jsPM7wFWoll/hycFfoZfU2PBD9IoPgO0Mqp9J+MdCCP5uI5EXEQXrNFrT
Ss0lTcd6YJTWyHZuI5v9BxT7H2Ne34cvH6NfLZHrCm6wBZ1xGcZfdWczHJLLks8/979Am6dqoxZJ
wL9RjPT+8T9raF8zRzX/Bu7oK6SYYeD+B1D8GvB3UBzO0C+nyHOHKrmOavwT9AcFXOPhbIWaTcxK
o6ormIpufrottopEAlGwzggjLs1muNF1ZImBGfZRL3ah6ikKlGhKi6TSSAo6eR57Za1KHa4AUmHe
NUIbC5um8FmPY1Fx//7vsXl9E5OtbQw36F46BNRC7sOi2nL/r+EURf0j5KOfyDvS2wTeMg7kuK43
LbCRy0wUrDNScHCx1GkNYAYZ7GAbtjpCWdCGuITe3wf0BM73oBsbBpL6t1eHdf6EcoYVtKxRFJy+
5KOyXh82ZXdziaqao1ocwegKOiuR5YDfpRnf93DTGczyCczkJlRvA7XhoIlxnHoTeYYoWGck0euD
QC0sE/NJD0lyHYbjtNQekGTBW1yHOXluVb90FQSrHVTR4mpaw3DJm0s+anPrE+TDm+L/vpzPsJgb
pFphQMsamgZW/xF+/jnK+R8wO/g9MB8Cvc9ghv82TMKJ79DIGvHtcEYsc1Leo6YPi9yQyq4ZMToD
aHwnfXTHH+o3ZCN1YQgNx+2gC21g0gGnIQLNEuXMw/pN2HwHIztCP+vDNQVsti2Tbvz2JvTAwBwc
AEeHEoGh+h6peog02Y47hZFniIJ1VqRokgln1lRRlHg95KroO24k2f6ifNXlj66CAfPxridbkrI+
g8oMyleozRZsb1Om4ED3ZHyXqUqAS0ZjIUY8/RFy8+dQ2S/QzPbFhyvp10D/HoCfvuNXGLlIRMF6
E7/CMOHhmVtZ/U0HA06a4na/ZvGp1CxdsfDqB9CiNIWWth+HJOE2qxYrGNmp9BrG9OAtvbW4x7iU
OjGVXgPMNRkxqJsDIKUhYju4NRJpiYJ1Ruq10cd+9T8mojWUNcHirpukvBoO2FkWH09ZvqysfBWe
8bOnC6iTglt6XMy5NGS+z1gkslPKONShEjeH/qro31kHbzVqTOAdx3bFPcLIs0TBetO/QPn8ruWr
pNOZAdhxScPqUAWwnNTVM+SGNsUJGp3KYxoGGBooMzoRL4FmAZUMULL/rv0gp5K+38cCGQpYpFIt
xpwa1ZB2Muff+vPMb2DtXHS3MK1jaR/JehXb6l4jicaO7xqaodtHvPyr5cg5EAXrnHnREjAMhODu
IgdAJHJcYhiPtN15yQJGF8D0EVy9FL91n23C9K9Dc5IN79zQrXOEXCdd+137/4rrKvHvuuQBXCTy
DFGw3gFhxFb4so0OyyS27vCba2C1x3L5AElziN0//RV6NpVRWxjcQrrjw6gtdjQvODV5DJUmyGj+
KZZUDFloJUz/z1qcTiORq0J8N78juggLsz+GHp3MojycoVAKepjBHX2HxfwxsP+PMPkILtlCVTcw
+TYS2rFUFcr9b5Cy2GnjFtT4zrERS9vZ3A0ojUSuCvEd/Y5Z7v89liWN/1LszxvY/hbS9BpUXcIX
JfJJH1nKqvEUUxjUVQEsp/DzQ8z2vsYCX6Gf/xLJ2MCr7eCE4CQL9q5fWiTyxomC9Y5gzopRVn9z
gvJgKuu5LM2R9caczICEc7eUwiK9gybpofITOL0NpQdhEGo1BeoDVP4xGn8HVhXtYHnmw8JmpMRw
MYkVuUJEwXqHiXixFN74HbJ8KuO20toDCSfUFFg4TrcpUfV+Ia0+MGMkdgtmuA2dcGBDgySpkajb
SNKbUNhGwyGnvi0F6Nw/o2JFrhBRsN5SrurkbmF3fYYtOL2FUWuv7lUNVz/GVJUwpsDG7X8NzZH3
mhY1A3Eshd9H42upCB8NPoFKP4LHUHYXmYtn3l2JcR9vif4skatDFKxz5rTK9hwVpvUMTTqmsxSU
P4Qp9mAOjtA3GcpKI7V96KQvSXTaNXs6P+z8G/Q3fwVntuQcLFuin2mXunKOQy+6VmsFp9hEo6Wl
UZ4Rex+bGsiifUvk8hAF6x1joNBLe22dpINbzFHuP5XShoTB1KrNJQifjJFXoe6KnsR0jXqeKB7f
FhRKqzBYfjXWgb2P7XDUSOSyEAXrHcMlXCojmQMcjXV0uIdJbtmSB8cJy1wGPlP6LdMkWrua55eE
dwNJ12chdt/F7VQOOscXFomcA1Gw3jG+rKHoZMeqdeaelIJzDmmvB2AacmAcedMOenB0DpYc1ctc
II5hEn7N2SbMc/XHAymiZkUuE1Gw3jFSN8XhDY2HMRracnZgH/BLVMsCatKExuJnmos7Tm+4oziJ
W4Ry4CiNcDcN5zn89AcmE5HIhSYK1jtG0X6FoqFtmJ5se8gGE8yLAou5x0QsVkL2iQ3Uq7murzhd
RswRROxKmfzc3grNgQ9vZcxYJPLmiIL1rtFOoiudcPqMgjI5BpObOHoyhc224Hyox1KyB3jyz3Vs
sdz1Jj6Tv1odVqFeHEGjgk4SIKGlyw/dIyKRi04UrAtAWVdI6dSgFYyi//sE6dEENk2wrBbQaYZg
d5fAd1ERJ7w2NRS3Ek8IFjkWLAdXlSjmU7EszvMcps8JqqbdQYwtPJHLQxSs86YbB6+eXZJ1o+Jr
XcKkSRix2jmXugOk2SGK6bfAo38ERneBzU+heh8CFDRpu9HQnMBTecz3/waHh7+XARgbk/8VZvIr
WWIWOELGFqCjv8Hyi/8K//Q+kq2fwfz0PwE7f4GnyLEp7lp6JYTdNB9GdixMpS+9mPRREBvWiVlA
cznZjljMj11BWelVVYwIPZIkCSUY8S0WeYNEwXpLePb4rX7detXrZyTC0StdkyLPUqEsNcoqgTFj
NMhhndQ4BHdOSZZziy/Mn88HN6H1z6F9BpvdCfZ+0pWToSmAop4A6YeocxoS3wBmCZp8CaS9laVn
F5x1gRnFRivm1dJg/kAdFdt6eriz+os1Yry8tqzkfEKp8uKL6zzuI5E3RxSsc6ZRbEimkR6V5jiv
xIuu3bnjz7qPtneMdnpQehPG0tyvgrY7cD6D5s/aAazrOSqd30SeD4CGplhjidx4kQcak6G//Rn6
vRR+8QRwPaj+LSDL0EsY14UmbDn6eTuGzbOrxlpiwRBeNapGD4MX9klGIm+aKFjnjJcRWO1nfP2i
DuPdGV0xvqKsEVlGZRtiF5xmG3BlAZX2oe0IXrEu/tkNQkY9WpZoG6uCK9d13tCxlL2EnOww+QnU
4BZ8xXUoJ8DuA0UBP/wwOLO3dVnr8Flh/g2UZS8ji1uZZwNUyrdNaK1eT9zz/loHAZRyjUjkDRMF
65zhxzo0IYudqOSBJNCySlZMMiSLNsnrYsGSg3wClY1hqkVooTHZSlCODw0C4mS0mAmiI8WnFL4y
3K5ClMc+RGVHNJkHcAS/eApfP4Hu3w0R3onVW1mVqOoF/P5/R5aPYO0mvBrDmAG0H0IlKZLWs/2Z
13vVPGaEAAAeX0lEQVRyhzISeYNEwTpnwmCFBqgPARlfX8ObHFZPoHUW5vqtf8Dbi97bcDHrIpWT
Y8Rk1DRgOHsmXOcE5pDormWkWIo8OCa3DdBM1ButoJIETfViUeFjsdq+aRo05VMYQ3EdQBsuXxnl
Je3GwQ8r7aNYRc6TKFjnDUOgZgoUj1AuH8sumrbMTyVQpgfFcEtCI3csFhKTtU3L3VKxTXR3j8n7
8Rb+VKI0CpE8RtEKZSY6VTJXxn4eNEi0gavZr+jhaib0R0gZWnku455dEhpjkCCBHv8cSW8DNtkE
1FByaTLdWqLD8AxixXzkbREF67xpGwCb+gh1uYuqLGG8QdLUYRIOZxPyIBEbRlsUp+PpOYyfQo7L
yR9LJKobJcaWnortPMdi47vlIe9MnUo5DzALbTlt6YJHD8i2YJmoDxl8aVfshIdRkrUWxmbw27+R
wafwdvWcwheXnCX6fvjyqvu4Ooy8QaJgvQG3hdUs0dVyrkFd12hcBXx1D9lwCZUdSq5bJdvI85uw
GUVgBjiObR8FQZD703iPUwaTsNVnXlCRTmGjYcMzuW3uRobBpFJdwPpQHEH54arOytsSdkBRGwM+
Pbat0ScfJ5Wvavb3krQ3dgPKTGDlpNQoK6+n1btI5K0QBeuc6JLPPvkeKs2hehsYp9eBOhR+Frt/
wHz5GMPrv4VVKZSx0qJDkWMRulk57Z0NzRCrs5kRcenCMQ6rOP0Emkl2RecIPs6zwhn3ASNvmyhY
Z2TNcuo5P1NAPhU7Y3VQoSkGslOo1ALL8gsczf4E1b+DwcAi6eewhlt8SYh2GBG9YoPzywluEOsw
58WIq2qA7JTaTkZWQawotM/60azG1Ecib4koWG+QUH+kjr8oDHZDygOK6R7q5S76yQC9nsUgUajT
HNPpIyR2gKR/TR7DyBRn9wafU5vPIqIvoT2oaSvXT8VMQmTViVVXEf/qhhGRyBsjCtYb4uROGUsM
GCVp+xmceoi0fx9peoAeQ5p8E7a8hoHL4KyCNa1plTyOQ8MorN0fPHMMs+7S5znafiFXmSM7WXv1
XLokWadQMcKKvEOiYL2pZeGJcKOLsPTwJkxtUbvHKJZP4N0cfc0SgU0gm+DaRAG9dqeNu36OUZoL
vldvIISh46ilyDSsBdtDU+/B01crbWDs5ukP8FJRi72CkbdLFKxzRHJYMs5mAL24JeKxrDRQbcD0
MtSDGvAFUDetqtBwz0Ax4uIenHi5n42KbqP8qqeoZo8wn30rq7tev0Q2ZGHqy0WLtVar1/PMT9oc
W0xjRd4iUbDOIYfVwQirwFImA2aTnyDrfRL6+GyDWu9hWT/C7oMn6PVz5KNN6JwtL/JIUulU1RUS
yx26H89qs5GTJ9wCruBMQw+fjAA3B/BywapRy25gWy3WJtpjZBV5N0TBeg1YX8UMNvNMHZq7Z6s6
pu6DfPydFi1Mc9O6CslChqCiPIStZpiw7Dy9gfnR1zjc/3vk/Q3k/Q8AlQP1EyTuCZDcxWz+GAzM
RpufwPR/GvLmVBE7BcAw6cVkrAily0Nt4bIBzDiBKfeRNXvAdAAoOjdoqYgX96pqJlXzUH2JCJVJ
V4FUkOKuIr+RYlNWxL/a7y60+3TH83pRFNL+Q8RY0Bg5RvJ/rNkvCmRsupbnEwSzW3qv8m8xwnuv
iIJ1Cj+0HWaT8WtUIHUfKEXH0AWWxSHqxR58M4dRDfqDDNpzB/ExFvU+ioM9NCXPOUeWLWHKHDUL
STmYousLVKx9Z2fgK6DD8cr0kZkJymKIxWIfxeIRMl+g97MRlL0ObYcccwhoilioqmAwmLT7AU6i
x24XNHzn0IzT6ARIhr2uZfl5O7/u3buHXq+HW7duod/vyzEUMYpXlvEfg85gkOUgwa1i7dFjtPee
EQXrFPjh/GHktJYQP+VfeE8/KzmmlMu1q1C0bTldmFB7C2tz9Og8ygr5soK1Gv3RJqbzJbJejnTM
JWMviFZr4OdBN9CX06CRKE9RgdJt9HsfAIsS3h3AuhLLo3+BquZQ6YdIzDgU1luPGhUW3iFrHRlC
606wYe4E6FUEg+LTCdX6crn7h4A/Pzg4EHGicMnrWtvBKBiVScsSVbMW4ZLn0A6Q1UbmXUfeE6Jg
vQYyMqvtueuur81AfS5aDKRCIQGbnXM2EtNfylewWqGa07EhRS/ZRjZMxac9YQOzSaH6WzBuimww
hupdB/SGhD5yetlRTII1+0ug4Z72DpZRlu/BJDcxHJdQvRxQBeDoujBHU30FXbfLLwyR6A30VV+i
QlnaSnkDz627kOtHpbK6PB9FjP2KH374oURZDx8+FNHa3t6W2wkjMN9Op5YSD1XDO4XGNTAcphFz
ae8dUbBO5VmDulXv8av+gpUJIifRUAqb92Hz4J4gU1FTlol6qIL9OjOgmmK+mMPpMfq6QTK6CcVq
82YT3tHhoT1/56l+imAZqVI/HlHvMUTlJnDNEYyfI6kG8H6Gwn8D73ZhfIM0uQ09+i3S4cdoiicw
6QBIByJWElN1dRwNk1gvV62Ty8AuyuoEi9DBYjqdYnd3V0RrPB6vjq+WCpUroVyNRDlkNoFNWXXf
PZfX+GNELj1RsE5Bhi63OZswG7BLuHfLllNCrLa+SgISWsDIr3xtanO2CzNsUBQHKA6+QLF8iGUD
JL0PYVQf4+HPAYzEme/4s1nJA1IMT1MsI+eisjl4Lg05HCLdwrI+QlMXGJcDLFWDytfw1RRqeYBa
lcjrDVgMsVw8gemXYkOjukk7Ha8QYa0n2bvl5OpVVBW+/PJLSa6naSrfnz59KkLGfBbvO9t/hPnh
UxlTNuznuHbjFpJsQ1qLZssGI04Airw3RME6Bf4LHnrvmDhqIyMRgEbM9zTYa/cSOrurbhnZqo6Y
yUgReg6bbkFlTzE/0mjKElnew2Cyg/7mB4Clrctae41/ivLoAQwT0wmHS3z88tPTmIE7m7qQpSdN
A+1gjH7yERydQzdz9PV1KP0TYPEYePoVqvk+vH4K6M9lSAb3OVVXid/+BuxrWjScLPlYLpc4OjoS
V4utrS0RKd7GfBYjLApWWZaoZ1/CNksktkSqFnAldwMUVDpG1j/lH4vIlSMK1isQVkB04KRlzAKN
W7YDThuMei8XLO+LNmcTCgNq58UkQSYvM8poBjBqANPPMUiP0Cxr2GSIfvYJkPwCJXbhmxypthLd
LQ4fYO/RPyCtG0z6O0hHLxesdlMRRXXUOp1mEhiZbMz5zzjAITJsiVmf8bfFSma2/D0W9XdQ+jvc
3Pj3QMbhq8GjK7ymrhcJr8V6dMVoisvAO3fuSLKd4vTgwQO5vdtBPDw8xMOv/g6T8QDjAScAOTz4
5iH83rfYuP0zDMe3AHp7Rd4bomCdApuEDRZQ+99AzR9CFUdYlDPo/gCbd++20RZXaGH3iohAtVYs
SmfP/sJPLKN8XQPZHN78CY/wPer+CNs3PgU2ORyChfDbyCTvvEB98Dmq/T9ighKp6UFPK6A5kor4
RiVo+N2Hmi/KoeJzk0GrKXJz+/ikK6EZYoI+qqoR/3djNaqtHXj9S+TlHjLdwI9+s7JjlihJdh1D
e3awSw4wUlrPSXUmgPK7Waut6uB13qewDjcHQ0yXh9g/PMDCzHDraY3tv/0O4//3r5H+9i62Nq+h
nw2wkMfxGG/ewf1/fohrNzOkqcVisZA5iIzUuLSk+HE5ycuRq0UUrFOQ3FPNpmEHkxoYkyKVrf8R
0AyPKxjXqxplHfhqW2iGH2rfh0pvYjKp5EOcZowcwvgs5pf52PXBYzz97h7m0wcY9jP0x9eht27B
OY63Zyae8VI4tWR1pFDTnzD4e/FSrcs1Jb0BNtV2MA9MuB3wcigWFJ/1AlKKB0WLERJ/3gkIb+e5
+J2vk5f7Y04DouOpw2gwxHAwQj4aYJY+xWNjkY83oJIMjbawqZbXPhxvYDBxSESQghhyObm/vy+7
jIzYIleTKFinwI28msZ6dQHtllIfZbMRkGwDKljCkGdacl4jvyPLQ05TVjfQG1ME2VcYLIkZ3XEj
LvULWMwxNqUIWMp6rN5YbI4d7YvXVKnzJxXr5YZOgC8/f1cAuv6UeU40NGpWwQqrrY163ms8KQ6s
q+KxzE9x148C0h3P2yUvVderIRdP9h5jXjxB/XSJXKeYbG1j88YWVGPRn1aYmQJPjuZQywLZaIj+
ZAKd9rCxuYW8P5AxaHwsLi8pkHxsLjN5PibwGXVFrg5RsE4hNfwQGiz5QSxK2XZXyQg2vQao0dqR
wY/9GPXqMypYHcCILBnKWk6KNLsEPduBmObWHllmkOo+XH+IOhmjUAP0dev/3taHiT61bTanlRw8
8zxaQSqLAlVRo6kaJMqjN3y2kPOZV6iURFKMmAhFil8UIv6M7TZclvHnjLB4O49n1NVFRJsbN1G7
Gspo5MjhCo/vdg9EMKvbd9AcfY+D2RTLaoa8cNjwORb+CYraYFkf4ODx45UQ8jsfl5d57peJ1fry
PXJ5iIL1Kr+kNEOSjdCggs1zKDWBss+fePz6lG0WLF3pC/NQHPDACMcwemIYtigx3V+idg1SCkFv
E1m6Bc1hEMztNLKXCGXCwNPwpE4/e8PBqjyUJ1ceNk1h/BiqySVftP7aftimFMoWeDvFiAnzx48f
Y29vTyIvCgZ3/I7bbEJ+q+sjlMT6kz3k3mKY9pDpHEfTBQ7357BJgtHmDkapRoHHqJZLaS9aLD0e
7X0Nj0QspRcHByJOPM9wOJTH/fzzz+Xc169fl3O/6G9zMmqMXHyiYJ1CeD8bDIY34HscbtoDGoOq
DsMYzgprx5XUZ7FMIgiNsU3bbMyJOaGxr0IfDaM6M0TSvwmbTkJxxeKRJNoYoSlxdhBvCPnTcjl7
mkmfVJAz/ySTqLvJ0z3AsRL+2cjqeR/uLpnOBDtFghEORaOrZv/uu+/kMgWrWyoyAprP57JkU7te
xM1tX8d4TDvnBqZy0mO5tX0NT2dHUOkIm8MdjDfYC1nj0aP7SHONqqxx9+5dieCuXbuGzc1NEctv
vvkGT548kccdjUarVqIfu2yPXByiYJ1C4wqxLYYeQWlasrSfclujVg3sGUcxyPzA1nfKy8Qcsf2D
RdoWky9lSEWy8QEm/Q14W0BJ3iiB58CdYlfyNmXtYTQr6TfE0RRsZhaLiJej2p28rhBWph8yWc/1
aE3xao9b6/E7WU/VJdIpDBSQGzduyO18Xt0xjMAoVBQ2RkQbGxvyldXAUV2gVDWOSlb61/DLBepD
hUWa4tEu81IOw9EIk/E1zGdLJOZb3LlxW8738OG3ssSkUDFf1iX7KZBccg4GIRI+7n9ce+1RtC4d
UbBOwXt+6MKntqkY/bRuVaqGTOrzp+xInaIZnPJFPVR0YOC5uuGpXBZSkDKe0IQ6KJtDmWXb1qPR
FCUSzOQDPp8tUNUa6WCB3sQgG7NR+vQ/L8sqjkUr+F3JsvIVjRAoPkREs80dUbwoFl9//bWIEgVk
NpuJcFH0GInxdhaHfrJzF188+hpf7j3EvFpgAIuMAsjE3pyvK+SmnOxAaLjawdUeWxubEj1tb29K
RMVojedhzoxLQ0ZXvLzeDhS5/ETBOu0XZNpclWax5VpHDVqXgDN+FtreXsHQGaGD5Qkc3uxZ96TF
1jjYcfG8FVAfQS8fYW49+pNNpE/nuP///S3meoyNf7cBDO9gSWfRU0RHJVwKSou0LEDDLiMjrEaS
ac6GHNDJJdVJGDkxiukS31z6cdnHnUL+TPoC2/osChu/MyIq+xrbN65jVoQkPPIEM1VjVjGyHUnU
WZQF5osDFPUIRT3DZHOIw+kBtq9tofGZCBebp3lO2tRQNLucWhcVdnm29UjrefVhkYtNFKwLjqSR
1nViNQyCoZhFXVK8WCk6wObHn8EkY2AwluOSV/oshiVo5yMavofHlq3HV6D74K8b71EcuBzrShgY
8YhAlaVEW99//73cTlFjwvz27dtyDEWHSzzel8fzOB7DnBQjN4ofIyj+nCLEcgZ+Z8TGyxQ9ChLz
WYzg+DwoYCetbTpDwShYl4soWJeIrg+xG4SqTYqmaHBUeeTDHUw++xmQjsRDnkn0k3Z3zydEP4yz
2HMo5RWEt7Fq9hXyYCc/+BQpXqcQ8TtFqLOOofgw30RRo/BweUhB6XYRuavXFZkSilvn7EAh42Pz
ZxQsXqfw8Jiu0r67jeJ1//59efydnZ1ViUPX9sNzdJX4kctD/ItdcJjbOr68FmFxfqHtIU0GUGoA
lV8H+jfaA/nF9Ll4hr78BNISSK+sBoauFN3QCVkCvtrgnm7J19VZUWC66IYJeO4U8vYu4T5h8afW
8p0C093e3YdiRmGjkwOXlBSXrkCVx1LceD7mrXhsF1VxadjtRvLxKVq8Hx+Lj72e04p5rctJFKyL
jhgAHl8Va2SKmLIwyQB9cxMqGcLbMTNbQcvaSiyWSpwmWN3q0khzNo9nBWprOsg+xDX/+pfBvBXF
hUJAIaLIUEg6y2OKCyOhbjexi7xYt0VR45KQ8D6MwLh0JBQgPjbvy8flLiQjJkZUXC7S3YECxZ8x
iqIw8tyM3rrIj2LVbQ50YnXSYz5yOYiCddGh51Wbx3JtXZRERFIZr6E024Os+GzVLAmARtYmrxwH
uZ62S8lVn/Ty1PD1HI59k15Bc0cySU99i3SiQIHpln5dxNXdxiiqW84xCmLUw8sUIYoPoyRGU7yN
0RB/zrqqTogoWBQcLil5nZESv3gMb6fAdUWgPIYC1S0pf/DrbHNZJ62YI5eDKFiXBOaYwqit8F83
EAO+q7iv0TMUG34IOemGO4unuxVU3HlEDZam+nqB5WIqi8I0GyOTWYmv9hbpoppOsLriUQoK801d
5NVZIDMSYuTFqOjbb78V0eF1ig17ASlGFCoe1yXtOyeGrh2I5+vOyUiNAtQVina5qvXhF+sDMUjM
YV0+omBddDoDd3Hwo2ApNGxsbifQy5CshrlxGl+FMWRh7E1+nKR/CQxEwsfZQycamnanjNfEMj3Y
yryMTgwoGhSfbiePgsXLXeV7JzoUlJPN1Lwfl4UUIi7xKFqdPQ3v0y3zuor5jk6QupxYJ05dkapU
0J+wZY7tOJebKFjnzKoqQYSHMwLbZUhnzu6KcF0++J0tzUkbYi4C27adcLV9jPa6/BUZTR1HVPyM
8mY+esZTFqxQVfAJXSDoZBW0jeVWtXhmDWFgkOMpjh7fw3zfYnT3A+jk01NfI0WB4tL5T3WlDN1y
rSsz4K7hyRqoLgqT12bM6jLplnUvWt51Ysn7sayhYz1Jv757GZPtl58oWOfNM3VUuvV+WTPsZL3T
+uFSYnDMWeuEimoJ47mFH4ZRdAMp2gUlHZglSpOnybCqN0Ha38SyqVAugfRHuBB34tUJ2cmZhCSK
R+THEAXrnBEv9NBVfCxE7dCZYCETIqfjjzN3ATuFc2c/f+3EgaE7CdPylXi0tzGbDL7R4NAewx20
bIB86zZUXcMMNl/tHM9JYFOwutIFMSVM05gzipyZKFjnDXf2PGfptZFNq0ydJnUfcxlKIe05b7bv
bcT5g2uTe0pFJwgvI7PEx0bKGILPe+kUMvYR9jY4kAyNejXnzhe5ODC66koQSLdkjJXmkR9LFKzz
pi10otVL8Ifv6qS6yTssdAyHtq5T7V26Zpmz0nYxUzDF653+EnVwNj04CII6uQZN19FgQyHKVjsL
/5rLwXU3hy65za/neavHws3IjyEK1ltCdvXanT3DEs9mCtRLqHSnFao2SllLuouf/FkDLpniqiQ3
xoIrEcvGobj/JY7u3Qd2trD1cQa9sRF2HIlOoN3rFVR2ItV9rd8uT+PEkjH28EV+DFGwzp0gPsw5
S0U5o5vqEG76GM3iAMkm6wo0bU2Dz4yEV2Ec/auUJZxK28+j7HGDM2YLlI+e4OjLb9DfGMOxD08O
7oYnuuABRgV7Dd16nt9U55CwLlpRrCI/lihY500XOK368hqgWqCaPUV5SPO9HCbJYLMedD6UkfBs
OGbrsoyXf1MpLZmF2Lo/pD2MhhNk4w2kN28Ak4kcQuHyKKVAFY5LVnuqYL1oOEXHeutLrC6PnJUo
WOeNr6SlxrU1Ut5nUPkNZJNDHMy+wHa1g+XhH1HbBfKdX0Al/xoFVULqqA4BjM90euc6P6tWO6lF
qUXz2S/gf/EJnG0dT2tAO43aZ9IEzZxWKEJ9eR7tdXNRMXcVOQtRsM4bKVuoVyYLof6Ka0NWhPdh
sl0k1Z5Mktb1FHAVMp+LFZVW2ZvJu7/oqUl9FKvjW9FxoaWlK7mQ5xmJXCCiYJ07tDs+Ga2wcbmP
tLeBYvk5lsWuCJQppkiaJZQdwVAxGg4hPNvZXxTRrJLhxVGwRGYFqTLQlqKlZEeRBjU/om40Ejk3
omCdN6vcFT/+was9JNkHyPrbWLo9+F4Cw528bIeezKtq+HN9Wq1gLWcH7RizHEjYFmOh2DzcupBG
IheJKFjnjQgPywmC1xRdFMJ6K4PtbaI//N+hqxKKW4LpALUdiq8VE+SZfsVJEKfwomkxP4i+4rCG
yAUnCtY5E/JWoXFQdYIlcIL0BLUey3TprucwlJNyJERbQHpGwTopSidHdfWGG5JPA3fzOJ2H8w1F
YIOhTSRykYiCdc4wF0Rv9GA9HJZZrOVkXZRXPZTMXTnAtlahyni6rEs9unJts/Qb4rnj2bPR2gGs
iGfhpwv9jJ0lcyRyQYiCdd48k4tyxy6fEj4l6OkFrM6AUkuJVmbYrsMcvQLm4vryZp7Gi9w1KVLt
7iWFlcexrEHybKKscQxW5OIQBesVYLV2N72FDpfkVUdEsfDTyEBTu6py6Gopg59n22C82g2k3XGb
unpDYiXnelF+aq2wVUkf0NpxUawiF4woWK9ANxi0m+7SeZbHFpNI5O0SBesV6AYqhKLKsLSKfuCR
yNsnCtYr0A3djL1wkci7JQrWKXQ2v90whG5QqPzy4uTgSOStEgXrFaABHQcoMJfVRVqRSOTtEwXr
NUSLQvWiCS6RSOT8iYJ1Ct0AhZNOms8twoxEIudKFKxT6PzIT3qTR6GKRN4+UbAikcilIQpWJBK5
NETBikQil4YoWJFI5NIQBSsSiVwaomBFIpFLQxSsSCRyaYiCFYlELg1RsCKRyKUhClYkErk0RMGK
RCKXhihYkUjk0hAFKxKJXBqiYEUikUtDFKxIJHJpiIIViZwn5UKG0lYmk9mPtgF8UUGlHPfNWbkZ
khpI2hGXXjtUcDCc/c2JuzIrMtIRBSsSOUeOrIfRnJxbI+FMb++gegaFUtitZ7huszAR3CsRJ2rU
aoBtFKsfEAUrEjlPdB+GgnT4CMWD7+CKBtn2NWQ3drCVjmC9A0wQKE9BA5DI2O/I84iCFYmcIyMH
NE/2UXz+BdJvvgb29rFIB+j98pfIf/OvAF0BWSKi1UDBUqwkynLhWxSvZ4iCFYmcMw4a/X4fyDPU
iwJPHz7BzHtseg9zbQP46C4aY1HDwlKluHL0DrX2Mdo6QRSsSOQceayB0fUNJFs/hcs9Fq5Esj+E
GiSYTh8DywNMdibw6SaWvkbOj6SjaDn4mMP6AVGwIpFzpAegkk9aH/rWHehpgdR8j7RYwM4OcAAm
3RtwAejR7ggyB+8cfMJkfWSdKFiRyDkyrBzqhmUMGUx/B+lohsN/+AJH9/+EgW6Q/uZ/AbI8pNu5
O9iOvnSOYVYUrJNEwTpnDlBiCA1Ta6Dhm1AB/JfTt/+SJvLvr+A4rFVxT4lfHpWvMVJx0vRlpkk0
lE1gOHiXu4F3bsH85V/C1P8RWZZD3dmS47L2S4KsFLBpP344n0MUrHNmzF9x015JLWoFFKipTsgS
y/JA1FUlk6SThOKkRMwoXpmKf56rgEwJ12301MuRjYcwDlB5/q6f2qUjfiLOGVVqiewbDVSK+Qzu
GWkYqWguYX0GrTJAcWsoiBUjMd00gNWAjcuCywwrqla5qfYGO2Rmi4Wisd7qdYmCdd4sGmBkwBXh
whXIfIM+K59rBzx9imLjFoxRUEa1dTdo38z807QJjcilRf6e7Mlpr8i/RzrcxE3A2HjzekTBOm+M
kWUgV4Ub2kA9PgC++R54sgssZjj88xQbW5tQxshuUu1rpJoLRb6Z49v50rP2b06btgxVC/DyN44f
wNcj/r7Omx6wqBswPaXqCvjuCY7+7/+G/QdfYzjuYefP/wyqqcCKQf6L65WSNzRpGoesbduIXFKY
v+Lf1XsoFerWtZZmnciPIArWeaOANGHWqpQlIP7lj5h/fQ/VdBfVYANq7ynw6CGqfo7k5g1krIhm
rqtqYFXMX1169FqcHLRLWP1lYxD9WkTBOmc8hSdTUqhw+MWfsLz3OfJMY7xzE24nh//DH3D/0feo
xgN8/L/9DunHP5XOfusU4ibhVYy22kRWd91ExcJr8D8BW0wij2j2Q9MAAAAASUVORK5CYII=</Data>
</Thumbnail>
</Binary>
</metadata>
