<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220826</CreaDate>
<CreaTime>11012300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">precincts</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983_HARN</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_HARN_StatePlane_Washington_North_FIPS_4601_Feet</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/2.8.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_HARN_StatePlane_Washington_North_FIPS_4601_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983_HARN&amp;quot;,DATUM[&amp;quot;D_North_American_1983_HARN&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1640416.666666667],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-120.8333333333333],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,47.5],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,48.73333333333333],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,47.0],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2926]]&lt;/WKT&gt;&lt;XOrigin&gt;-117104300&lt;/XOrigin&gt;&lt;YOrigin&gt;-99539600&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121918&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;2926&lt;/WKID&gt;&lt;LatestWKID&gt;2926&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20220826</SyncDate>
<SyncTime>11012300</SyncTime>
<ModDate>20221010</ModDate>
<ModTime>9055900</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>FGDC</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 12.8.0.29751</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Voter_Precincts</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001">
</SpatRepTypCd>
</spatRpType>
<idPurp>Voter precinct boundaries in Clallam County.</idPurp>
<idAbs>Voter precincts is a derivative of precinct_splits, created by dissolving precinct_splits by prec_no. Source: GeoData.DATAOWNER.precincts&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;b&gt;Edits should occur in ArcPro with the precinct.splits SDE.&lt;/b&gt;&lt;/li&gt;&lt;li&gt;&lt;div style='border:0px; font:inherit; margin:0px; padding:0px; color:inherit;'&gt;open ArcPro, bring in sde layer for Precinct Splits&lt;/div&gt;&lt;/li&gt;&lt;li&gt;&lt;div style='border:0px; font:inherit; margin:0px; padding:0px; color:inherit;'&gt;Make edits to Precinct splits&lt;/div&gt;&lt;/li&gt;&lt;li&gt;&lt;div style='border:0px; font:inherit; margin:0px; padding:0px; color:inherit;'&gt;query for each derivative, export, dissolve boundaries and clip out the water.&lt;/div&gt;&lt;/li&gt;&lt;li&gt;&lt;div style='border:0px; font:inherit; margin:0px; padding:0px; color:inherit;'&gt;import the clipped fgdb layer to sde (ex. export to fire districts). &lt;/div&gt;&lt;/li&gt;&lt;li&gt;&lt;div style='border:0px; font:inherit; margin:0px; padding:0px; color:inherit;'&gt;this should update the portal automatically, no other steps required&lt;/div&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;</idAbs>
<idCredit>Clallam County GIS</idCredit>
<searchKeys>
<keyword>Clallam</keyword>
<keyword>Precincts</keyword>
<keyword>Voting</keyword>
</searchKeys>
<dataChar>
<CharSetCd value="004">
</CharSetCd>
</dataChar>
<resConst>
<Consts>
<useLimit>For questions, contact the GIS Manager at GIS@clallamcountywa.gov.</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2926">
</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.3(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="precincts">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002">
</GeoObjTypCd>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001">
</TopoLevCd>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="precincts">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4">
</efeageom>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="precincts">
<enttyp>
<enttypl Sync="FALSE">precincts</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">PREC_NO</attrlabl>
<attalias Sync="TRUE">PREC_NO</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">DISTRICT</attrlabl>
<attalias Sync="TRUE">DISTRICT</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20221010</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJztvXeYHdd1J/ir+HLqiG40IkECTGBOJiWLkmhJpizJ1ig5yJ7x
jMZx7PV4R7O7f/ibmfV69vOu7fFYa2s8lsPItiSPScmWRGVRTKaYwASSAAESGQ10fLHeq7jfObdu
vXqv3+uEDqCIww/sl6rq1q1z7j3hd87Rr/+Rjwe4RJfoEvUkHVAAXJKRS3SJepF+STgu0SXqT/oi
312iS/Smp0sCcoku0SJ0SUDekHTJbtwoetMJSBCy1xubmeVdxP9eovWgN42AJBMm3vXWW/D1h59C
s9nizxRFwY/cdQuee+UoJqdm+h5LvwuC1TPhYDGPd731VmZk3/dx8uwMvv/sQbiehwuhfZdtxzVX
7ML/fOCh8JPlj/FC7+nNQm8aAbEdF1fs2oZTk9N4+oVD/Fkxl8U77roR/3TgYN/jhgYKePcP34bP
3v+N8JP2ir283ShAPp/F1ZfvwH/9y/sxOjKA97z1FowMFXD/1x+O/a57J4i/77VbBJiaLeOV104u
IRgLdxgFCn7iXW/FgZdexWsnzix5B29metMICK3cjz1zEHfceDWeefEwr543X7cPR46dRqVWRzqV
xF0370epkEGl1sAjT70Az/Px4R99G8ZHh/CRe+/GYwcO4vTZady8fy92TozxTvTI0y9idr6Ca/de
xqy4dWyIV+evfvfxjut7vodzM3OYnJ7l39GOkjBNvO3265lJr7vyMrx85DheOnIC+/ftxhW7JuC4
Lh4/8BImp+b4nFft2YF9e7ZDUzUcOHgEtuOgVMgyy99+w1WoNyzs2jbGu+Wrx07h2YOvIkCAUiHH
3+czacxXa5iereD2G/ZhqJTD8Z1b8a1Hn8Ft11+JrVuG4PkBXn6VxnH8kur2ZhIQohdeeQ0/9o47
UMgJIbjl2ivwD996DKqq4l999L2YnJplwbjl2r34pZ/+AH7vz76AZ186Csfz8Pdfe5iZ/O7bb2Bm
vu/rD+PKy7bjEx99L373Tz+Py3dtxW3X7cO3Hj2A46cnF1ybtBkSDLrWzq1bMD07D01T8Y47b+Dd
5cHvP8c7AgnHvXffjs99+TsYGxnCL/zU+/C7n/4cdu8YZ2G9/xuPwLYd1C0L28dHcePVl+ORJ1/A
9Vdehi0jA/i7rzwIVdPwsR97O+bKVb4nGuPRE2fw1IuHUcxl8OLhYzg3dT2++/hzOHriLK7Zuwtv
ve06fPb+byKXScO/pHq9OQWEdoqTZ87j2r278errp5DLpplxsukUto0N4b9//iu8Cp89P4P/sH8v
xkdoRfV5t3E9l5n7luv34eCh15HLpHg3GB0qYWSwxGrLwVeP45uPPNVz5R0o5fGLP/1+jA6XmHH/
x33fFF8EwH3feATHTp6Fqqj40L1vw+HXTyKdTKBWryNhGBjfMoy7br4WX3/oSd79JJGAxOnhJ1/A
wVeP8VhO3HQ1q4e0SyWTJgs07aJEuq6TNQTf9+B5LirVBlIJEzu2bsELh15DuVq/5AB4MwoI0aNP
v4h77rqZmef5V16H1WwhM5Bi1cJ1yWgWxmuzZSNhGguOTyUSrLJIZvv6w0+yUBFV61Zfhpqbr+K/
/e1XEAQ+XI+ODVitc30f1RoxpOBHEoxiPoNt4yP80UNPPIf5cpXHYrXsRe+tZTvReeQuYBoGfy7H
24teP3kGf/gX9+HtP3Qj7nnLTfjWI8/gkaeeu2TEvxkF5NBrp/Dhe9+G26+/Cv/tb/+RP6tU6ywc
Y8MDOH76HAaLBVZFzs/MoZjP8upKqzIxzOnJKd4BHvjeE3ysoetsCxDDK8piDCV2oV5MR+fmXwQB
jp0+B0NT8Y2Hn4TvB9A1jW2h05PTuHLPDjz70hFmdrJJxFmF+hY/K9kdYigKpmbnkc9lMDJUwtTM
PNToOIV3FygKDE3H7HwVf/fVB/HsSxP4yHvfhseeETbYm53edAJiNZs4/Nop7Nk5gZNnp/gzYvC/
/9pD+OcfejfOTs2yakW6/nylhlePn8b73nkHfvFn3o8HH38WX/rmo/gXH3oPrrx8BxzHheN6+NRf
fTFiUhakbm9UQCt6b2YjIYj8UkGArz34fT7/J//1T6Jab/DO8an/8UV87XtP4F9+9F78u098lNW+
7z/7Mu9ygU+CKY7lQYRj8GkUQYBz07P4zmMH8G9+9idwfmYeuq7hj/7yizh4+HV85L13s1Pg4Kuv
4wP33MnOgOGBIh595qVLwvFmFRCiv7rvG1BUBV4sDnHgxcO8Omuqyis0MSHR3HwFv/X7f8ErNqlh
pCL935/+W/4dsaJg/ABf/Oaj4drdvUMEOHbqLP7Tf/1ryb8RNawmfuv3/xx+jBlJKP7wL+9jTxUR
nV/uGH/wmf8pPlfAY6e94KnnD7Eg/NnnSX0L3c9BgM98/gE+ll5/65Gn8N3HDojYBwJm/q8/9BS+
/eiB6D15rkjSSODIGXGJ3sQCwkzdxQOsqviCGbtJCkv0WzbaO09ABm8/ot/HhbHj3D0+l06B7s+I
4p/zJ4HXc4zdTN6L6ePnutCg5Q8qvSkF5BJdouXSJQG5RJdoEbokIJfoEi1ClwTkEl2iReiSgFyi
S7QIXRKQS3SJFiF9eKAUvtwcWAFHhDm62+f6HP/q/k4Rh2xs5tMblmj+OFq/qvlS2kHI2PGKoq6Q
Z2JpAt2h/5Wcgk/Q9THHpC6Mfyn+0z5f+0b1//yb/2KTOI0BETBNA9lsFsmkDk3X+EE6rsOAOgpg
zc1W0LQI4ySCXCQYhUIO6Uya0bCrf/CbTzIoR4sEARVFANAX9xVCQi6UGo0mZmfmMTBQRDqTjF1c
sBSBFTVNF1PYdUlFUeHYNs6dm+XfEX6FoCrJZBIDAwMIY5ntU4a4lziDyfPw8w7xbpOT0xxzWgnR
szcMA0Hg8TkU0DkJHq1gaHAAqZQZXmxFpwUC4isf0+fnOH2Bxl4oFqBp4PvUNXq1icRo0vI8qlUF
yUQC2VyGhYOe3vzcPBybHqAYo2HoKBRzSKdTa8ZAm0W0ivqKzwtEPGBI4MK1JMduIZ/L8qISX2Vb
rRajkwlLRnPZiw8URUHTImYMGBGcz+eQTCb4mH6MSIFWOm/3eaKdTAF0TYW/qscnhETcRvsE1WoF
mcxwz3tY8owUlHUBTVd5YaKTV8tlHnNNq2++DRIB9Xxa7VqwrCavaMxAHP0V3xuGhpHRIei6gHi8
0YkeQFzI12uhSiQSqFbqIeO2GZWuR0JpmmbfaD4RM40SIJEwkMtlsBSJ59YWEnkeei8EROXXi6GL
+5yZdyBNM+DSuWIqEUF16HwrnUPXdeG6DsrzNVbTaH7ksGjYtFNtuoDESfBLHCPVfqCFQiEUjh8s
6rXiriXRbus4DmPH4jgxEk4SHtu2ozFIoaX5pmNUVWU1g3bu5SLf24JAzOZjZmYGhpFAJpNizcBx
7AUwmuWR4AXX8XgHcnw3+oyuGRcO2h1pp1lqXsX9qqx68hylU0gkE6hWa/BcwuNdZAKy2I3U6w0Y
pg5DN3he3uAaFhM9wH4YrbUiyQT9+FswrcNMRa+JseRqrGkaH18qFTE/X45UpKV2cClk9NfQTZTn
K4wiZkwa59ysnnjXSxjwWz7nvOiaLsClnhcJBCeExSRajqWb6P7oWFoo5E6aSqV4Z6lR0ljwBnLz
kurVbDZhGCZv92ZC55thA3cdV+A3PtGOLPJQJI/E1TuaO2Ko+fl55PN5Zg76LduBTKRemVBVYvCl
F6ZuZswXcgyETKXEKt0NqlwpsQPMp6QzF02riVwuz2pRuVzG4OBgT3vKsiwWgl4qmFggXL4vGiP9
pd2OBeSNFgehySGVgP6hSg+3CsPUUCwW+CG+UQ33fivcWhDp1YVCXujwlJcSMqhc5ek9fUSMxgbw
AlKWbS/Q+avVOi9gpJq1x9B2QhCTkikkTIjQdRys7N7JNqDnXSlX2U4lm5Xs12zW4YIV3RucXEh7
DxqYnZ2H3bKRzaahGwaqlWqUD/OGEpBuogfXbHo4NznFD5d0SZo4WhWER6KtYlxstJHprDQfMqek
exWlXdlxPBSLJEQLSVEUNBoWe9ukkd+POHHL9zsEjY7PZNLRaxpLqVTC/HxFuI5XKBxEJFypZJLP
S+PPZLLs5JmdncXo6Ej07ONj6Edkl/ECoAjh7iyxtCYC0p3cv9F1C4VrjrZJ8ka0hUKoD6pGTKGi
WCxGLtXNEAbhFaHUXAWtZhMt22aX6aKr2xpdO26EdxNdHyAhcXruIEEQ8I5dLBSXdT2KIXRfhtRi
afgTkQ0xPDLA8Rmq0BJeafm8E+bjZDIZzM3N8S5ClVwoJDA/V8bAYHHZc0peVOFYEO/kp5JWKCC0
JcrEUtonAZ8j4T6UVawEa0NBX4ZkN7Erxuu5sxjdMrLkKrgexEZfrcHXphXUTJhIZzLrPhaZqCWN
7W6SgkOC2m9HCwJhg+jG8lyovfhyoYomzklCMjMzx4xN4xD2z7KuAsemYLLKgb1arc72E31eqzd4
EKRWLsfrKTIq+zsOVryDBIECta4ho2bQUBtQTNqeFAQKFQq4+FQZuRrQSlWr1tho3GiilZnc1PQ4
VDW+0yobHm+JE3muyFZYytGRTgsVaS2ENC6IdM1SqRAKkIJKpQqr0VrGOX3U63Xk8lneRcgmEbgM
Ts7n50w2RSqVYJQGOxwUcb80DvKoxcmQhnqP57EMASG3Ae0SrK0BloYBZRSmaiIT5GE3W7C0Glpa
E9Di6/nGl4lelBRRsIFWLnMTDHoOQrHhp14Uxj99J4WDaLFAm6YJF+1K50yqd/FceUn0udgxyDZq
ByUjRl+MQqEnzxXZM/Vag9mNnm17QbRhOzaXdSoVi3zM3OwssrkscjmqRimIvHPFUgmOM8Xj6ebZ
Ze0gAalQdGBTwwBGYCrCz6xAQ0JJIeGn4Hg2GkoVttaEZ/hdwoXNp4BgEzYmm1PsZaGJJZtkowRF
YJ42DtYjGXOxazYaDfb/S9ujlxAE4TmIeciGoNV4sV0pfhz9Pi4c8fO3BSe+ky7PcUG8SG7bcqUZ
xjHMMOdeWVBNxm45OHfufDRmMu67yTBIVetxDwj6CEhnjWQhHC0FRX8QKWTgq/HCAWJ3MZBEMUhy
IKjlNWCpdXiGC1d1hH2yCnfeelGr6eLc5DSyuTRyuRxvuespJ/E6VhtFSwkHjYdUJ6l/y8h3t7ql
xNzBkunlb+J/5TXjr+NCIccj3MrtSi1xInWJFl2yKdrC05s0suUMkyPetBNOT0+zsFPgsMfdhmWZ
AlRrFvL5zAJPFzkSyBaKO5vov94CwmdT2jxtK8h6RaTUDHylU1L5FdkebLMHUKEiHWSR9jJouU00
1DpcvQVP9RGofntHCYVww4tbhhejB0CQAtqek6kEb7vrFUtZilk3SyCl2zUOESGSUWklxuxy55DM
LQWLVnIpAHFh47JEisJQE1qEJPZLHk87kjCs4+MBMtkUMy/ZI4uFX2hkuqFzVcpSscDCToa7lgqR
yb0oACrlCiyrjuHhwRD4KO55YKDEcBxCbNAJyGakMfRVscjoZuyOqyLt5JHRhJdAclgnYwvsdChS
4UahwlRSMJGE7/hooIqGWkWQIDHazN0kdt2A6loFPCky2kpBx07Va/Xua7mCbkakfzXXlPfcvdIT
ETNJ+AkHasPfScxWXDDpnikyT6/p+0OHDok4VTrN80zMJ9W7eEBRusJpwSKVieMSfflE4R2EcVNe
lp9Ziwvp+WF+SH8ig3xqapbVrUTSDJECKoqlAvJULT+g+dPRqPdD8xJPqAEUR0OylUZBLfYSiT4H
yvELzwTFKShrI4sCckGeISOWUoNjNAFdMGiY6YHNIhojBZrIRjnXnOIVjLZcCjwSUI8e5Eo3lqXi
Dxd7dF4yvcp4MR+NepPzdch1KgWIdgR5n+xirdUZrk+YORIG2nWi3BFGy6rR70dGRhaMj05DyONM
No1kMoVWy2Ebos8dcuyDdicSutJAkQVkKeEQh5Kb2IVj16AwIkO4i8nrrvKzN5BJC+9YTwHh0pVe
gGQzhaI+EA1oRRRKvkCQhoYZdXpS0kgqKXiOi5pdQUuzEJCrmH9MYqKyU0AcxZKKjSSxipEK0GRh
lojYXD4T7iw0HqnC9PcQrQZ+vdYgyLUQToXVMC3yGtEc9IakkC2QYNgGweIpd6SfqtffW6bw7iED
vuThEop7GHfrHBl/Qrs+JXERw5Pjhdz54jhl2c+bYSWe3AA8NC0KCTT4O71f5UGjkUBBL3VFF1dr
LbRrxoq3ZIoZKGAYfuCiZTVQDyrwUx58lXzaCscjlUBjVW9zKUC90WCVgHReYpB0KoVUOskYo+4H
0Z0PsVkkdf61ElJNU9lOWwyXRb+h0qiC6YS9IUmqYouNRwR35Y4kbBLaicggJ3ugl/uXMzHDGscU
XSchJfjJypE8nQfI43urWC0NJW0IKgU2+pxgLShQPfZwpZQMUkoWtmWhqVpoanUOQLrkI990H3F7
BJSLQP8adfKE5BgyQUzRqUdvrEG+GEmjeq2EVe2T6CRsLbFqS0g7IW2N0JajAB0Z5dJmIZU1Pka5
y9RqVQYdyhgaR/kZYavyMWT7LMYPHMcIKOvQ5LyTpTxhy6GYgAhlKPACpJ0C9A3ALamUdync1UwJ
JY0E0si6ObQ8C7WgiiDp8yYrApU8Qla7Nkdw2m43WtH4IWoKCwutrhQMjPv9iS87MT6bIyBrgRYO
ODW1V6JTwHnv5EEiw5pVSwKLsndMXJPwUkeOHAmj3i7D0sUqH2Dr1q2Mk6PjyHimTEEZLCTVp1yu
oJAvcJ9HMsgZu9VnrRbHCFwWJT61mq1V7CT9BCSUNt/2kdZXDy1YCXU7KKQ6pSgUVTGQULJwWi3U
lRpsrQGVsDUsVNJTttEUk+aQyFabn6swk5imxrAF00yw4MRXys2i5QT1lkNBT04T5yVvEjk4iMHp
s3KZ2stp7MZNmAmkUxlcccVerjlAhr60jYiZ5e4rUL8ZOHaZwwZytxLptB58lwSdwgRL7QoK7zQU
DF6LTr5tAVFUKOTvDkwY6uagXuMkMJAqEkoSCSThOg4st4EayoApV8TNVr/aRNgf9n7y86hE6oGI
r2xcxH4jWz1r7M3yWIWSSF2+LjRQYLs8X4Wm1VkQMtks0ulEh7rXvbOxK1nX4Dpt9zINn6Dxsbta
FMZEu4+sCrMWvRY7bRAV0HxyeW2ugSmCj/KFWLV11UAuKMKr+UioGgMl7bQN6OS0FrAXwoqFeXKb
MOgQVhPeARmNZKuQLk6ZatlcLgxEbqzToRvicSHniaezCi+dgIlblgQYLnRYiLZ2YAChz5mFolwT
PStSs8i+oOh3tVpltWx5rUn63YtM8zXg0m62BlPdISDCq3ZxGJj95oR2lUyQRQ4FOFUbda2Cql4H
0lSPSYLdFgvuxfNX1nBV76PzESPV6xYnHVH0NpU2NxzNe6EC4rqUkipUxvh56Ly1KmXfLYerKfFK
uM5F4pbK9c9IwAgwyE8k6PR8rZyEcNDOsVYdsjoEhDxKukLq1YYDQJZPBGkhaL2nwEQCCW8EBc9B
zamgRvivtMsByF6RPYElssUDYiNSlpJZz1JCEq5BvRBrMEzREddxbTbq19tOkYZ6N61EaPzQ0Jdj
lbAS+kcu8JXwiyjSKEs6kbNFFNATQUgBilwdifshta/VEvGrtaBOFUsBtEB4iBa2EhM/EEk+CytG
SNemCFAJFSPqy7cWFnWs0hgFE2U7MTLs1UBH3htAzi+iWbEwr83BSbpQkqJFmvCV02/Fg6YxMtKU
JoDhEwsRnutBTauFybNTMRVFwZax0a78hK7+hqugToGQxRrovoU7ljxBpPqQfURz0Z0f0S/w6IRA
RRkAJJQBeZfI1rjAWgw8HqmOrZyENkBuZdteTQykP3XFQQJ4ittHOMT3xPiiplLoJYhMBeF45ckO
Vyaa0PiKIINXq6YOflkIe6GJSQVZpIIM3FoL1WYVlllHkARcjUwVFQnymoR6uRjzxhrP8fsnhp2b
ncfAYClCl9L8ykWG8EBysVqJhhQHE5L6QvgmMoCnp+fYoKZzUiXBRr3BmY2Ebl2M9JjdQX+tRpNz
LcT56bvN1DhC28jQo/lbS22g0wZRAjiIXDG9hxOIiKksOh0finD5y2i5QICSYUYeMrnTrKtnJaCS
lmIp02BiwBmG6w6iZddR06pomi00fQIlihpIMi2XxqlTva0NJ4ohWKyLUyyAjFbaZaTOT0xMY83n
C1xZcjlEx8aTlEgACaMk7pncpOI5kafIhY9Mpj8zBaFQyGdG80Spw+VKrV0Qm/hlE52JLA4Mu6cy
qyLnfy1pgYrlajYc34m5ejtXB+L/KPgkP+hFofDIXGOx2xCuR+XaSKwGrHEwo7uoGdkqpDCmnCyS
XgZW04JlVNFQLNIlab/kFZZUsDZgciMzIcOd1vYwdX46LAsSY07bg2M3OA1V4MGyrNZ0E80lqU0E
gxGIW5XfU3yGVlTKxSd1rtW0MTU9Hbu6uGsSTAlb7z6vH/7j5+j4qFRqMeR2SJtmrgohJeGX9bzW
T0DkTSeAer2Kojm4oOR99NPA51WJ1CmR79t/UFRniCKbooK52HXoopwT4JAqsFqjbAXEsUUFaSWN
tJtCseYw9L5m1OBzirqwZcj1SGrYJjWC6MNoIqJMUWSqhLJldASKSioiQclthr6UK2VePUldGhws
QVE02K06PyNC0pJQcWG0dBKjo8NoNSkzUBizJEwkHHFhoPdEaoi+5VpWqsoQdtYILpL4E2f8SdWU
vVZrP65IQMiAZRHRFDi68Gu3EbXdJFYeAoeRN2jRuGafyuFcWdwgYFvv1strTpT74btQAjKODWSc
AkNqms0GqnoVQdaHZ148D38hKRyMnJubh66baFgNtifaj0dldY3AfVSswEwk2O6o1clzpoUxGFHS
X0SvA05OijtZepVCDULVyrJEzszFMz/UikFlNZTmZb209khAon4LrFU24QYuDIWCbz0oVGW43bjr
9ywJw3EzjVSxUEnzRW4IVz+Rv1EDBvwRNECgCNZx7SZ1ixtakBNBGK/MJMhx9qNdbqFpWqibDSjJ
EMrCa4aAOLCytumVG5WwuJkscNblUfSBqalphn7QUInZhwYGYq7k+PjF6/g9xTMM5XsjrNU7N1cR
cbKOgOhmkhxb6HC5QMGVG4HMYqLb9OD3yQdJALVmBUW11D/WFpKIKwjdN65qkf5/Zu4EDh07jInx
rSimBjCSGQ8H0vlQEqbJ2qRQu5zQE7EO1MEf7UAdF59ABolWGvlmHlbDQjVZhZvywmooLWiqzp4l
bjaz6YJC1GeOAsIiCdiHKHEj1KsLLdmTTCZRd0WOxOZTO0tz9XGTkMI1hpdt/uuhFdiwdBteoo+A
UFYVlfJJ+WkkSFqWuIITFfwS+qpsiTV5/gxq9SpeP34U+68Q9WF7Slxo0JM+rKoieX5Rd3Af22hl
1O1/C3cNRUPazyNVTaNebcBJNeEbPppOCw2nxVHaXDbLgrLZOR9LEaFryZVLmDCyOdrj7f0c2kUZ
qKC1sBtpd6dnQaBDL0UuXlKzLobdQ0Dau5vpLOPQTsAjLQJkUwcumkYTXsaDl/KhJlUottY/5VZJ
+JhvTKOEESRgdGQGLvi5D9GvQRFuQdJ/ielv2ncHbrqSoycMEeH9a6nxE6QhYcBzyQiNVdoLKzpG
A7xgWniOOI4rUFQkvCQS9SRSahpNw0LNJFSxg0a1ATfwkCCMVXrppjKbRgT0K1eB+QqrWdRligz1
OBHzUyVz8mSRPUl/R0dHo10ylUpxxRDLEmrw5hPZREZou66ED8JFMPS/+YEHC020dBt+GvAyAQsF
hSRC4IsIAfQ+VQgpTzuYq53DkLEFeiQki4+h7QJWAEdqXeFlVgDU45wCTrChLkDr20OjF4kcap2Z
wgh0GE0DuVYBVqKBijoPJ+mg2mwgSK1fZfa1INmJiTxaVOazFBSiYtJEtGOQXUOIgwREK4R4ZF1R
FAwMDOL8+SnYrQ3wOC5BnJVIHrjm0hUY4yRqHwCB04SueWioFmqjGtRUr9JtEh7Upy6WaDorhMQx
bdieDV1dXpVSVrGiuwk3c5lttqJbEgMhFyXp/gxs4xVsA5XggMLvYhtWVYPTAdJ2lgvlebaHjFmG
7TpQDAUelUO6KIzX/kS7BcUxRLE4ER0ntDG5kWlWyXYZHhE9NuLzrBJmzDAvCgExTJPt1N5q4kKQ
KidieQEU38JgTkEmbyBpmDhh2ahRp4TIFg0WnpP6KfYdifRUhWmv/fFZXUMkGEe3hn8hK2wILGQX
pEtFsjcyjieDocKQ5/c0abS7eCpK1iC8poNmsom6UQcyCjwIw37FuvGGuYodbhdBzVLpmVJkXHxD
FHDleVEvisrnCMcJxWAotrK5FBaeY5BkmLNO3sUwJ13Uhg7vggKbtgXFslD1DGhjlyPjz6KUa0Z8
HKjiVTupu8smZUziki3YFKi6BrtpI0V70WpjXWtA7IKMDOPNYzyx4Cjs1eI8FU+H3kwg5xZRbdbR
NKuwki0YCT1CrG5sdH5p4lTWeUoZXqiGUHIS5XfQjq0xpEggITYT3C1ri9HOR62a5WDIrKVXGskL
FYmwLSSaNpK+i5TvI8kFQRPwKUPWmVvxc1hWj0KqUtHymgiocFxfWEl7h6Jo+bro5IxbETVZE4GJ
wIs3+4wPYr2oB8qWFgRdVP4iyvsFJBpJnAvOYCCbhdeswtBFvEh6+S4mQVlA4a5H9gqRz/O78fZf
N/GubWgMkOQC6vJZewHUVgNas4m0ZyNN7ap5ZxDrEu0OQnkMixWudO772SBx4twLXSS29OT70PCW
MQKOhyynmd0KScTtfNEQx9dYcF2u3OeGqv8mO+hJWESrFKhUIzZdgp7IwbErCBzK127BZOPXY29e
5E+J4a8uWlI2fnpDEzhEiOtQlQAt12OhVewWkq0WUq6DjO/BJLQTC4awcwU/iFYInGkaTvNKOZKu
v6RPFVyYAAAgAElEQVSAkO1pBqn+Wazhokh2QhSFXaM0z66RtC8WvpT1YqMq4hFYcbMqNYZcFBpK
gUaCMsjGvem7cJ0mPHI2uC2oAVXnoPi8eKAyjeCipGDjhYTmTAbtFV1FudWA5QUwqxq2NueRN0Rf
c9leb62HJk3IRQWESgAlrTSKxgCjYnsPQpo4cetfSO/aDjjK+ug4tcAQierd8tJcqn+NUi5XR4Kb
2hsbYVt06IkstETobvSpdlQdmuKx6zGAC40DphI6ET/XxvYV6UnBWp8w5JGIbSJsjwCOKkDda8Ei
KTE9uHkdqqsjZSWgB2egkgGiid8uhhpc9djCvIA+pUdJ0wugNA0UjcFo6+pLYUU8bUHAcm1XRR5H
j+AQrSIhUJjHQQhiggxwzsem6i+9gpHhgqLqSGUKkfD7vLPYgN+C07Sga4QH8sJ7VhBQZ6rQYb/p
xSbXgmhhYKHnalYcoGM+Ikh9xkGQT8JN5aAQWlehWFSAoMFmKDtIqKGAKmuQrfXOG56OeanX92zW
uD4KQaEDxLgYEWzdoLhBuxk3b5NrLSRtVarPd+GUm+Tn1zUOgMkMOyFbm6BQL0EMs6GELd2Er+SQ
SZPA2JwJ6Nh1qIoDxad2AjJjZaPzVi6QOqZcviCdRLTEoAokeaXE5Z0cxcPZ1DyMvCkWBBngk7tE
2OeDFkUR/Fu/OSC+6aNiKVBbOlIrKSDX04DnJb39eg2IjLG+OL0gXsVDXFJThEHPZftbtqiV1HZC
Rb7+9g1svABJe4kddWHGn6KbMOhfMs1MwLnWLsHbXdhWHQY1sAxjVB2RJ/mSFXh51o0mJRZ4E5me
cpSkEnmqB0+zEWR8BKYHs5ZCqTnE9z7XqvKiFrhtFZliFqTuh8miAkXO2ZHk/l2HNt+xx99XQDRF
h861ppbHLByf6CEEHXnrF0BccT5cOfo5rTrTeTuvSO5nBkPGyvWLhC+B6yFDX0aUN5anuhXY+Pil
bk0FCZKAkRTqRmYAbouQtQ5c2yJ/LM8OC5gEXQrk5Sbtln6009FM64GHpmIDKR9Ie0BSpEhQHQ5S
s/x6GAAO75dykijJrmNO6D2pVewQEs9yPe9NzHpfFUtIK+u9yzgV+6ljeQSd5+pD6+AK5kcSebJ6
I0DFpWX18HDlDosjc2WNSBXbKMbqd50eQhPelhpQuaA0t+DWUyW2VdyWxS0bQLWl7BZUhaq5SLVz
De1AZTH/S1u4qU2fr7SgBzbSZQXNIQ/qFuqXLr4naI5Qj5YxNja9QoM88uP2Bpsu/PRCnmOHgIQT
yQOgiJ9wtYlQfv+LkF7M+cyL9PzuCOLT6h3OsuDltXp4y2eE3luySBYidzXZKzLH+eKyVgRRKwth
G5IrlEaoQk9k2EvGcBiuPFLl2AF5yDy3BW4Z3sXZ4XodU8fiXNYHuS21plAxjFQ8Oge1rlBb0BM2
EpkAiQxgzdpIzmbYW+cH0uu0sJrMasSYTiWrQbU1yk4x4Yor/G91e0hnVZOwMQyl31J1E9G6ZHEi
FWVR4ZBqjzSgpXEgl6Iu7Fb0undUsuvc8SzENbJxwlpZlOssakGFgnIRxSgkbqpzyWy7JkltSaZF
/z8lVYIfkLFvIaAdxnc4FqPys24DU6P57+g8G3SxrnxW7f9APcoVC0beQiIPkCYoxhbCyvn0tCgK
Ll44i7HdcSkm7vo+bA7AC4QfajsaqckhPxKLE1xEKGvK6uBNC8bQUtjfrHsJeLoPfQkDiNNRyQhb
hIH6fidVnPhH0RIVC2yID2IXjf9kvRhXIgN04U2i6uIX237SMZxedoxc9DSYiRyCRI6ZxnVt1Jwa
tIQOg7BWVh067zaUzenDoAIbsTkOogkXNg7Vb9ZdHQnPgEsu6REFft6HlqbFsL07CGVElBpa9Ckt
8xFypZcOJ4sCV1NwdL4Mt+XCtlu4dnwCOiTqmDvLrpoo553mRVQcpEqIZQVUESetE9JT5a5P8dFz
VRLSH1lNCnu7Ufn7hBE1OmnHfeIaZmcXQqnic1kewvcrnYUfBKo9rKMVrkZt7aCtEqx9tL7/Lqlp
AWdOulSFJYK1r4cdtfYUmfrRpkBGowYjV+CpNLL5yMj3HNptWhRtRVCbQTrpw3PEs9dNwJ0OMKKM
cNlXQs9WlDLcoMan7BlMjlLYL2CeJEqXdvJ4HIz6oHvAudlZfg6+Q5W+OiH5UYcyZZXaBJ/AB8y5
FAaDYWhUaSR86MzusX5v9DmvSFT1j9GfIX9QD4cKrbBOO5eZKohQz+polfc7PVJhBTyNmrgbvBFH
/m7qLMWVwakvREB5Fu2NnleQpEAWbyRvcqYjledXCSQp4jucHIaLn6JpCo1b8Ud2/hMNa4TPRoFi
mNDJmeEHsJ1pDG4xRBAvbM1Xr3gwbTNyksV31d4tRIJ1cBuL/9GnWVXHW/buFfdIrt8oV0QcF6tY
uyKSyiQ1D4BeMTHoD4Mcu/Ke5Hovop3ycu1dQDYaINICDWmupdSugiJd8bGn0155Fwy6CzvFujFh
9mNGYHy6yNiT+My1R7UsSkLtEmO1qbTqRtT1WjOSgVTxeqFhHJtInlcl/ISi3vK9RGu3j16Pdap7
bAufMdnKtH7bUKhWNWtewqkUN2c62K/jnIsYPZGbHND9po+8U4SuSHOkrRR1whrktAq3LtsK4TVU
TqahTMK4GhXCIzou3I+Tu7hcOh2i3bFTSNqv4qrXRlLQ9si9IYnmM0Rd9/8JyNfPpZqip0/vJeSl
c+foC0ZawmXeN6YV8ijb9107VcdvIoOkszZmr2E0mh6bB1wSaYHjRXgDI0kKSU+0qCsgRczlNCw0
huNvFtxQaIuIj7vWkhWloMZ+G51f9iWM+8vX1mu1WhLeHhkQW6WfcpOIq1x27AQ9SNoqStzeEo1v
xMJExwdQqdc9N2MUdcZ4oaTdP+ZkWXRaYm5jWXqHD6PLNUWqNzN1UufMlN4LZftdP1GkneXFV45i
ZnYeU+encPVd1yMYyXCjWlGDgVe8jrAtvdYNKyEAYavUpum8oiXCRtDFo/GLCvcJ0VOdg4tv1N2k
H4XWySKCf64xBVtvoVWtww3qGNtBtmEnGnlhAqgQgnYaTJcgha5gw1dx+LHncH5qiu2A/e9+K1Rq
U7EiVosv9gF279yGHRNjaLV2wcmZiHIMSZdvBYym5oLmphfZ2zrVvVqOC7rfdYVwrI+AyIfjqBYq
doXjEhQNH9CobvDFsFxLuAqlpXrs5Vo/rXxjiRHGgQw0xI3jdia347dQt2qoNSrIZgwOqzWqXrS7
pLJaW91mlSaAXwswNzUHQyPPp4nEoAnS7l87fZjRDFPlWRgTI5wcN7hjK6689QZUazUY+QxDUvoM
lol3LvFKBLkjRmVAC4aLAlsYIIeTVlV4maggRaDh9IvHce7MeVjNJm59720AVTshFUu2LVsp0bwR
CJD6Mqy9qzUWVKQWAWjgiSNP4Pz5SVy95xqUtg9AcS8mJgyj8FSmqNFuZvmGJyWuzgoGZw+k6rNq
srW0DY3mPLxSEu5InV2wLz13jPsMElbq2pt3dOa20M7RUtE4b8HzahgYLSE9mOYaY5Oz57gAdd1p
YVwdg6sryO0eA5WU0LIlXi0FdqtHUCX0ygm7ioyWAFSeoaaY0HLFkJvatQGk1zk8jBde23ew/9br
cPz48ZhbOoBuuy1kItTuYsE+0fRbDpBQsqJR/No+E4nE7RhLU8Gu0k5cNrAH+XSO269djCSK3pkc
iZeLxrrWG153UjrsUq4aogFn5k5DT+iozNVQSuWh+VSSqQVFNTC6NQ/fZZwSe4eJb5hn5CqfVjC2
d4wKWIogJJ/SwA9d/1bO7S+3KjjcnOeiF5KZZaQgit53T2noAa54xKMe6moStcEJIJOFriQ5GU3k
pS+Ex9P1PcPDxM27eGfcPrILPuPEhHqpewkXoBMvEXKUEVEiWh1kSf32CFfHtJ1u2l5gQwVFcwDF
LbSKiF2RF4kNrf+zTCKjldC2poZkKiEYgAvpUT5K2O87Sq3tuQyuxSAWOc9iPp74W1G8WaFAXNPH
mdPnkMok2aOVVnIoN6oMCGtaFvKpNIyAUp6EAT+xaygWswhgN+I2BrXX8GFQBcPwslQmiRY8xSH4
PhV2ozwPPwYjEURr4gJYv4ypwcM5LYuz6TFUp44jMTyMwewAjrz0JOqVCh934/49PXNHJBvJxkvC
RCeFLCwcZ5kWfMuGiiU6LMV2Niq/EwlHhxsn/iCWR8Fyjw1tDhERbud8XHwUc0LTQ2YHiMpobW7Z
Q5VCOI9BxIxEnae2fyYeYWhDaXp4GHsRM5X4LdcRYxi8qIIeb6FGn7dBh6GrPojlXrA6QqtuwFH0
U8fOs5DPl+fwzuvfiavHr2QkMTFXtTEPV2lEIMQFXkaBVekYY+frkLFits7CSoc9IgQxpPI80jif
3cM2Uyo7CF9NipSGEKfIIW+u0B8pWF1j6PxUOvcYcEAY/dnmHAYxsihbi7pUGjxutuiK/nkLpWTF
q/pK4SKiCc/GBgfXhEIVoTstgJwc4rO2JSiemcKF8kT1cjE/JFRk55BDQGZWypkThb9FIQPJqq5H
9btI3aMPiOmF0aw6Chq26ARL6/78mRM4f+oM53gPjY+hOLa9HYhQbYxvH0I2m0Eutx/+pCdWewks
CaPz/UJcrJqv40JGMKkGCQS1fGjVYaRycGlRUnXsuerWNqSvdQbAMgtvB+2NgHKi0Mw0UauXkQuK
7Qp1XXdMj8+hqHG4tNGD4/yKjkAirZBu2DCn36x0nrctY2EPjvDpCvebjI62r8DPhGESod88tgLI
ynryKtHaK3SyyMMR6bRrLWSrOJ9AN4sBdc8YJRX16r0i5rc/AjDa6fvk6FD1/oShw0wacFoteLbN
3WqrjZqoqiiDwoGPdDaBy/ZOcJEJ8k5RZxIx7xLr3fVwBAgpGgkX1WDhXOv6WqTOiuuTut2cP47p
8+cxMFBAolCApg8KtVbCoRg3uFxJJRkgNYvyQYgZUz7Kyjz0qol0kIq6TS1GdHFdX7j6c+43IUJ5
orGErh1n6LBMnlyNomh6LIoeptSKQ2U+RFwwwuhoyPz8mKLVMzws/LDtElxD2qgSVxco2dL0ZatA
UTC0aw97oMYY/CqyAOkXZiYPw/B5F/ICJ6zN2xUw5rcanBbteBR5BkR7S5UbJHERdIrIr1VabIyd
uLMtgS11HfXZChqNiugYTCWoSCCoFR1js1a3ibHWpIRoriBBDRrnkVKonL+/zOYqbrhKtS/Pud+2
aIJDQtIdRKRVSfS+6xpM6CGb9S3MqS3x+EQ5XN7MZf0LGQVu44aF5c6CE+Y18KOQhcfoO/q9PE7R
xLkIoh8sLEnB8hRFf3sYdX0/EdwigLLLK/S9WSRGKlZfw6RgJyGUBaJbbExUGUaDXtyCSuMsilkS
ElEIQ1VErKetOASYL9fxyuEj3CJhfKKI/Tftwsx0A3bLQ7Pewjj14V6D7Vo8f7Eb6KZoVspQFFXD
9stvwvbLqePZLFIFBY41D8Ms8rOQfTBX4tYRl1FpBwlZgTwWySa8lsNutzDVpe8paaUmCECnMkXG
IdWpEq2IKdlINIQMjS8K5Ud54/GjhApHq0xNd1DeSvBrweEc5ZTX7AuLEC65KIV2wXciMYuNVNcW
whgKFdV1FUIVBsBIaIhRHOppIq5HQSsucxnftaLzU7XHcIxeAFdzRYWSNaA4T8mWFGty3tD24GdM
XrdY59yoMgzPpY6GVYJpnUMmrXO5nayZgsYxKFrkiFEVZAsp7ClN8HlSaZ0b0px5/TwsK0AiaWIi
Qb9dfXxIol4MFajUJnGckr4aZewcGofiOmgoVL2GsIAu5sunMTlZRnW+hp27r0N+gOwpFzOTU3DL
dfiui20TW5acIZHkFU+YIuMuE6Bsz6EEUQtrWfLWJUMcCzCpVL5IviGjnjE7srd6j3PKQA4xZA46
pm0HAQnWAndGP6VbWO08lMjWiN1sqIfSju9Tvz7eTURqqkQlyz1TYoLCfVVa1z2mMFT9wpNH9o5j
I6+sTbCQN/dwMQmLasb0/NUTF5vhaHe4WHU9v/AVeDaou1Saqr0Dru1BaaVFKwTFge1bcIwG1GwT
48Ui7DkXFi2MTReXXTnOtb9ovw6OUQjPhN8UBRkIOxLlaSxnvDzPVMk9wHytgjJ0zM80kd9xBShf
sNyowAwdvpqpoZAsIZstsP1EacdJw8CZWg3QW5ienkKamgjlF1/E5GLcFhBfuB4buRqSlSTSSrZL
fVhIYpew2ViPB8ZozqnLFDU5oSrh1L9bLOKkXi00OiULEEOkgwSCeg0wSJldwZbYUdGk9xU4wClt
E3FUFHuJs0XknJFo4Z55UTKnXtpOoQ3COuHa6Ntq4KHVtEK1TYNGVU1WKhx9lYCl0vzE93oyBS8o
g4Ak9FFWy8MLPMy05vDsq8+i4VWQLKjYuXUC9QZgqTZmz57Blu0lpPImZs7NoHrKRnZ0CJXX6iiO
5DC0Z7DzeUWhEpXtCVLn2rY/vfChE2pDV7Dn8us4LUO5QkPgC2cFPU9NCVCeO4F8KQs9YSA/MMBe
wMZcBaqaxPjYKHYNqXCccb7GqebC6vadJHKh4i1NxUgTCmbUaaSCbMxc6zeFpGZRCiY1ehSuSvpH
QqNqOmcMCjcjJUgJf38iQa2fFwwlYri5Vg0YMUXBgQgesFySQtq+pe5riU0pijJ17BVdp2lPy6LU
XT5zDSnw8fzT/4TXjhzBnn37cPMddzNMe0lvTGxIkQewqzmtjHssJSN+oMK2AyQMEUWvaXNwNAtO
ysPYjkEE2iAULY1y04MxrmPqiZdQcYCTDx3FlbuvRqI4ju3DNpRSmkMD2UIGppFAoApnDqm6pF2Y
VKBaV2G0HCQoaYvaVocDFCASDZXXT+LU80dQnS/j8okJ7Nm6FYHvwnLSUIIinHOnMHW8glOnz+Jt
t97J6q7dpGikhsGRBHKpBLykKdpnL/WoQiBzpzUZyojrU8X0mLdikbPIXnGijFH7vR8Iw4iCUs2W
CN3LgFUfnUXYCWT8hzvHyquttm0RWSeifxmgi59oHse27sCOXXvgUBlV2oEDaqXd/xjZ/i5ytMbq
x0Wt8UJXefR+EdKozKcncCGaAai7qaRQAN3RMGsBc+VZVOenUBzfhpTq4vIrt8HSMhhoeVwcojbu
Ij9tcGcoJVuA5utoHa8jMaJBS5tQTAWqYUAneErYflm1mtAMD64tdmPKcqUyQX6tiqsumwDsMewc
HoDJQ9egWS7KtUPIl1To3gD2bp3AUDqH8oCLl558ASZMtLQMto/vgqb4MKTNuBiRLaqTkd7xofhD
eCLYHb6Kfmfh/4tCbJ0RZJFcH9ocYRxi0fiIvDZtpW4AxaQHGHotun/aJxW8s+c3NolWUWefqNe6
oZuY2LU3cn8Lhl58IriQQaUMzWtHsB0lgFkqMOyl3moIfFTYLqCfDibjUFZtGoZaQY1cvQ51+7Wg
aBoqMw5On7JhtSyYGR/JrR4cX8NwZguU2hyq5Sm0VA/p3DDqKQWjZw3UD83i5OnjCHQH73vfrZir
NFAzVV7h3dCLSbipwaQHEyqeevwAo2vNtIE73n4bxkayKHoqWg3hZBH1qxUMJQkC46Nskp0CTJcr
KHl52FqAYiGL8W1bUG9WeJFh61MlDYV6JnRng8Z4mL2ofQrHEXjLadlIKlQEehnPNswhF0Wk5Z7e
tl+4uMMymIYGNZjI4bxVhZWRbWl6Xe9ibRUgTH7pn18uMa6MeVWkkUZl/6WxGFPh2rA1crNLj5MM
OAbcriI108CQkgrrI/s4EzQQlIoC1mIoMHIpELKKT7PIHuIGlGo7CzVHaFcPeoYa1Ih89DxVRlSz
KORLcEwXzWQWbsOH0yigUp7F+ZOT8NMa9hzLIuUCpq6ilDUxtn8ftKSPpB5gzNBhewHOtiycaBJu
V4XdrEGv1OFqGtKGjkJhSBj21Tq8ShOPHHoNDauJbaOj2Dk8hKRqwNQNqGYSM6dn0fCpKWkFxqiB
3GwOu4bH4aQ0jA+MoNZs4cALr3KPmWmrii1vJyPf6wh20iLOwU164/crPWoqqAVzSGEsVl6+79MN
gYtxdlYWeLVkNcPFOUVUDdTcgI3pfqrERSkbsVh4tW5xe+EO6ghySmNIzmvAOf0yprSsVJfQZiR7
T6qt5P+gyC+tvsIlTT8h+IkGx2oIzFdalJWV1w6ovTOtrF2NfLhnujWF/LBNDWKgBSocN0CrIVZd
ijKnRlzUHcBWDeiGAjWtojnTwGAqjX2XX41EMiHSElQNSQ3QSjlk8waqbh0K900DEiqQSBhw1QwD
HqF7GNanMZBRsfuWfai3bG6c45XrqLQcbB0bg08I9KSJZFJHjtAAjo+W3cLO3Tvh53WuB63NOJiZ
KuPE+bMojOWxY3QLFGp1rQBJQ8OO4Qm0YnEvjtlRRf2oXpsIJvcUEAru1dMt5KwmTIqJ9C220HZD
tp8bRVBZxwrfi4supwmkrMEUaDEduidvtGMpSwnLgvJa60yBZsAhhuz+PPJ6hR/ExsMwjmYLhezK
AowaJ2pRjIFWQbL9yH4UYERuQeb5bNQPwoQ3aaEBF60RA75pCyc1IR5OzWPYbu940n1NOv+5xAzU
ERGLovhQtW6jZRSgmWFOO6lpKRW6Ku6ONGi7UIU+X8WAkcLpmoVDZ0/wM7hp71VckNrPSdCJbIFM
ao90XoeCHtbfovvKkUcqYSLIJFHIE4NQ1N7hZqPzDYp9iJykk/MzmHZsNFUfw+ODGBhNoTE9j1bV
Rl0pw8ulMTyQx9jwPhimgheqM7BIRVP1cIEPRxExjNgYej8REvqMjzlnGkPeKOd+9A8ZdjNpp54c
GYPL5FCaajvMPu4J6+z69VIKP0WJZTPKjSCh6ixcDBYbpSivJNADKyIJxQ2BdWRUUnFuOdW8a1M+
N/V6V1WU1CT0SRve5EyEik4pOhIqxYZCbKKvwlNdTGmzSOwKuCc5B0pDJ4pC2DA91uo7imIB06+d
RfX8PBLTLRQGJ7hlg2s1kcpmUKlX4ZoBnnv6KMg7e2UwivHRHDN8O0cxiDXQac8hCywUvPTqafZs
lufL2DY2iHzuGrhGESdqZ/B69QxalQYc1UVxYjtmk4MojedxZe5GzDXPoZR1oBseZubLbPhXWg2Y
hQJcSq/lth2dymboPO5XvJpnCq18C/NTcxjShpcRxRUTTnqxaNMr/GTLFRC5iog8aDHY/qrGchwI
Ai9GagWlxQqvVnxXw6opnr+yEBGw8Lsld7lw5fYYuRvbdbkYQsg04eomg6EcHSBDlVoeq5SfQ/Wr
ALfVRIYCSqTSUEwhdh16KkUlGdaKEh6jODpBVljn/um5OgxqExtViRfHdApx+47pnGS3UgTbqbVQ
TlRxxeAoitfsRyaZQsOxcah8BplMCjMzZU7N9beQV66rMKgMRHUTpSN5DgwjiX2X74amkZuYsFI6
vGQKEzffitRpl3ep5lwLTTTgmT7+7jt/h6HREYzODOG6PZfj8Se+gmQ+j8nZGewZuIEF3rZtLn7Y
4eTxNXZF99nTxVamqQGchB2mBnTlJ8dmVQqAFAZasV02IMVvacuXlU8WYxKS2mmvDq9E1SZiux1f
PhZBjtSm/pxHMBfaPWQfQ5mo1F5dJfxFqJS9VLFe3rJ4t9rudgvtWl1tppKB06XUQelUpzKn3BhG
dguOmLbNzFJApHbL2Laozi4pP73nmsNqIaKAe4gtqDgSQizIlezS71RRhZ1dy+2O4t2jFkP0MbZv
B7bs3obRYw0MNxS0fBeamYRL8Q4V2LdjDEkyRhQF83YDjiPwcb4fKlfRIrZwoigQePO1u0Ongg/b
9TA7T2m44iHVJqdw4tAxfpb5sSHkB7bAO+3g5rvuRiPtIO2bgFPADfvfAU89he07h1FLaIK1ZcVG
drLS/UvYhQa9VBJtwLpvW64NmqnCDEiO5K6w8Mcc5Q0FQPQU0TmCLhmDBIbQlYsRPYC658JNmRjO
ml3Kels42g3je/cjkeR7ZIgSuE5eNzbxbQdbtPPFo/ByRZcsGe4DCy/S7ie6OEVdkfooqT6QCBJI
pcjeozI3IW7MF+BHWShP4NPaPljhNu9sve1CR2IoBY1gtb2v1sHYCx4nGedKC4WhQS6QJx6hUIK0
lA/bSLWxZx3Hhd60cgOldAFmxsBUtYyq3YDVbGHX1gkksyKmQeeqVW3MnnHRallIpgZRKok4iOsm
kDKGoMqsw66ByjWakOSZQprtjwE3hQB1qBMlNKtNjI4OI9HIwsykgG0u/JwGxQtQszxo7hAyThIp
pYVUVti7DM7khVRi3sIoHBnpI6NDizxYBfqgqJu7pEYiUypDMkhQoj4cy9H/VeSUABlTbrltD4/4
v/jrerSahUlAi1JMh73oS+hq0AK95y4bF9zuPPdeAhekktDT5Odfhc0lPVuqgZJJqO42V5LBnE8r
8PsF2UJVTC+4MPLiuAGngKIotIykSV46UhvF78YSRU6tpXEqGnmQ6HmRwyEFXRnHUrE8srVyaeos
oGMsyGPLlhKCXbsZSCmStMQYnKAFlzJmyQ5NGjANahEhOg/Td9C8hTxKY+YKEYv0SQ8dDLFODssJ
GnZt2BSQWtS9G9+ruIYpdPLvLkKkui3HcxX/zcUoHMsV2l5CsLg9t8pAJQ+KlBcfviZBPr44IyOq
Y8UXFpxfVvltI8DpJyk9ESEyBCiyvXWbCVnClexWhF2Jw+OXMX46q1Wfx8njR/DMy0dw8uw5zJWb
CJQEdozmsG/XOK7cdzUypUGGPVEVFnI2yQLrslgEF2Jn3E14Y5x+TGkaYoHtbaRL3Xbp/rZL0uJM
EN/u41UUV33C5f5k02mhbROs5dkvpBoWr/KygiLigrLEaUWeTrtvuUgFEgd1l/lut+YjeBHQpEAh
d7BVYVBwpO89BGjU5vGtb38H//3LL+HU5AzXI7tx4BgOVcbwQmUb9uefxbRdwN6hL+K6q/bh49RA
DZIAABWeSURBVB94J3bsuZZtq9gIODfI93UEgRs6P0jdpRhSG/HRuw10XEdfrDzlsmixvVJMkUdR
gwQl5SwlIBJghR84uhjq4LW9iJ5Q0QJppoVZmvyr/vwQtulc+AxDW5QNYfbOdV0zRH+3VfQ+BcGD
AMeOvIjf+tT9+NoLNrYmp+H4OsYyNZSVCWwZSgNpB1nyQClVlGsuvv348/jegdfw8++9AR/8Zx9F
0ix0jJ52FZc8EnRpDh91JgD2V7HY9b2+sQPhMqROpyJWcbFwPkWWpfuUV8IIqfwmIMqV4R1E9Der
1xqctkpR8TQZvX2oXZ+/tzNDQjdYAOP5BeE1dUJCMth1Ye669OC98Mxj+OTv/R1myhauyVsoFfL4
4Dtvxg033YaBsVE41UmY2S2wqxZePfIS/uHbj+GlQ69DwyT+9h+/hWNnZ/Cbv/bLSIT96cWlyf4z
OOuQ0qMoOzFOfQVEpKmuAG6+ipU92siXqxNFruYL3dU6R9F9Lt9zYTu2aCNN+mtHx9UfXJJ4LkkB
AiRSCegmNRCK3Gd9DhbPZ9kqeSyWJI4KPUcd3wmi7l6vvPgUfuF3/gGHZ3K4c3gK77jzJvzURz+G
geFdcDwHk6eexVf+5g9wzS334Ppbfwy33/WjuOW2e/Dic4/iDz/zeTx/2sc/PfkM/uRPP41f+eV/
E+bWCFIVUTa1Fxv2CRR2VghZPwoY2UkYmGVRn59dmJdq4QOllNkk9V4UKMDVnfWi95z1Jq7mwanR
AYMEqa4XeSQ5+iCzx9q/br/vxdm9zk8LEPVAp12B4PN6fJJCAeyaN6s2g//y5/djquLgpsHz+NgH
7sGHP/wx8o1xntGDX/0r/O5nH8KDZy9D6dsv4tfufAyf+KXf4mj+9Te/E7+zZRv+j//303jgpRKm
vnEI+6/6Gu7+kffHxt92k3dTbxsk9M2vn8YjBkVBnkD11ySFdE0pbC13IQz/RhIOEaMRKQqeJvRx
GbgUFO/PIiOtvXYUkQ+0KONwvWjh9SKP2eIiJYygb373YTxyuInRVBXvvOsmfPjDPwlNM7nu17Gj
L+G/fO5hPDI5wcldM60svvD0PBKf+1v8yi/+GjTVxOi2vfitX/04zv/HP8GhqRR++y8exY033ozC
0MSSTN4lIG1XV1uiluFZWkLl6VkTlSZH97gp/PKusfa0EqZ/IzH8SikCsNJz0OSz6qwjtjDTP+Lf
hSDMxbg+kq8AgUs57xTFpg9bUXUbKgMqtelabQaf/tLzOFIdxdhQHr/4sx+Epot+61azhge/80XM
110u2kC94emo8808vv3EK/jYB17G4NarWJi37r4aH/+x2/Dzf3wUZ08oeOjRx/Fj7//g8gVk6sSz
OH7gy7j67f8ayexwiA2y8cL3/j+kC1uw9+aPrGryyX358vf/Ctv2vgO50lb5KbzAhaovhtldPcln
NHf6IKpTr2P79e990zH9iihUj3hFJyRIzx8pXeoUYDdajB+j/ijZYm7RduC9zsYFHSi9gbSIDqxP
2+Y7fPgIvn+cYhg+fu5HdiNXHAuHEODgE1/DPz3xBPK6gZsHXosiMNSTPeVVcd8X/hQ/9yv/Acns
IB9z77334ur7/wAHThv40kOv4D3vbnB/+cUmJhIQx6qgOnsKU68/jW3XvJs/q84ew+y5V6JWVbR9
2s0qw7PNZA6qZrBBy//Il+w5MFOljsIMvArMnYTnNhlezX8RoGXXkEpmWd91mnXoZor/EfmeA9uq
MVjPTOWigKNtVdBskZuQkKsmjEQm/G2VVxUjQVHS9gLmNCuwKucW3LbnWHBti8dvJHNwmjU22oS3
CnwdOjddn16TkJupPI9DHKfDtRtQNTMa8xuCaGWWNY4jBSHcIaKSSf3jD93Couoa/zMiBPEyDPS2
ktL+oMPejQePAzz3ynHUHR2jGRv3vOXG6CtSgkcnLse51gACpYaKm8adE3M4OpfEvGWi5iThJwZh
JKn4iKB0YRj3XFfEgdN1PH20isr8DAZGM8tXsYa2XYOZUy9g61VvB3WAmDz2JIYmruMEFaJzJ57B
+eNPM6O0mhVc/7ZfxvzUERx+6gvIDWyD65AQeNj/1l+C0YNxauUzePbBTyE/uB1Oqw4/oHTKPDTD
RPn867jhPb+KVG4Yrz5+H1y3Casyg4Gxy7H7pntx6NHPoWVVqTsx7wyX3/lxFLZcgVce+jMkc8Ow
ymcwce27Mbzz5q4H2UnE2Ice+gsYyTTvLrtu/iDmzhxEMjuErVffA89p4tkv/w6uu/eTOPX8V9Gs
zQjsTzKDK+78OI49cz+suTNczWTL3rdgeNctWBNaQy9y/4Cr0sPpGFY/pJWcKiRSaR+z3WqtH3H+
R0KWzgl7h/A5Qw6O7iemQgvNbRkUBo89F6+dnuVrbR/UMDx+WfuUxK9bdiGdG4Jp1HDLFQF+7ZO/
h5ef/h7++K++jEpTx7bLb+CFs00Kbto7Cu2BIzhb1jA7M4WB0e3LFxBSperzZ1GdOYF0egS1uVPY
svMWTJ9+noc8su0GDIzuheu08Pz3/hhWfTZqZHnl7R9nH/Iz3/o9zE2+jJHtN/a4bZ+Fbd+tP82F
kh+975O4/tb3ozR2BZ775qdRnjyKdH4El936fvhOC7XZ03j1yS9h61VvwfTJg7j5ff8rbM/EgS//
Z5QmrsGpF76G0pZd2LLvHlTOH8WJA1/G0I4bO3E1XQ+KVvy9b/k5+J6N8689genjBzB+1dtx+OE/
x9i+t2Hm+LPID++E26yhfO5VXHn3L/D5nv/q76I+f4Z3Sc1MY9/bPvGGc/+KRLnOro+c98/MKxKj
NC/M/4hzstJdoT32Xumc3+jsHYKwCl2WSxl4mK2LoOFAmgCFcWYXwmiaCXz8rl2Y2LkTmYEJXHXD
7fikcxR/8WBlIfQJAYaGR6ErhxnaUmuIAt7LFhAqyzK84wacO/p9FIZ2Izs4ATWRYKPJ9us4+tTf
w7ZrvOpb1jTcoAFfdZEqDHOaLqmO2dIoGs1z8PRWBF/m1lsqdaMHUnlCalKyAqlPWSSyAyJQlEhz
b3WrMoWXHv5rpPNDrLq5LQuakUC6OIpXv38/a4Xp7BAHlmozx7iG0snnvsTZdAMTVyFwHG7kwkT4
HuIKt513PHf2ZZx47h+RKU6gWZuCaiSQKY7zd/XZU5g8/BAm9v8oq2Z2fQ6nX/wGf5ffcgVUTSBk
i+P7InVszWg97KFug1kBGi2L61oRJCSXygh3fgwxQZglcsNSVm4gYxQd8iFthfB/XXC6ntdd7bgp
FVa23OZH2XlSEfVvA2LJwGewixo+my4cIH1r25SYJq7B9beWoI6nTAcObL0ap1/5HqzyJPbc/kG0
quc517nVOoeZyYO47cf/N94pZk+9CNX0oVKecnMGMIgxdViNaQxs3wdKUpMnpeoQCv1Wp6g0bc2i
b0a375kextkjTyCVG8K+u34SlfOvYf7ca3zDmeIYdCOJ7MAeFEcuh64lkMoMIFscwvb974LVIgi0
CtUnIy2E3lPJGKo/K7PTggCnX3gA2/bejdHdt+LkwW9hdupVvp+xvW/FmZe/yzZWfuQyNOZPQ08V
sPvWj7C906kqrDU3r30hbWbuHrEsQzdgcOZ6WP5HehhjfK+7BlyC/+jxbaLXGOPBYXXtKnhLLKBm
YLxEAb0GJssBmrU5ZIoj4ieBjxce+TzcmUN44kATR07NIXfk9+E1q6hMvoz503UceGgKP3zHjcgP
7Yju4tTpM3ADDSUzQKGQX5mA0HM300VkCmOsTqTzW2GVz/N4hbGs4OhTX4Jrk/fCjnIF6nOTeOWR
z/GdkW1RGr9i4Q13XKj/gLID4zhz+HHeLRrzZ1k42ECvlzE19Sx08yB0I4UrbvspbL/6brzw7T9B
rTwD2/GQH9iKiaveDoU8ZGHf99mzL+Hw43/Dr2mi8kO7cPqV76A6fQyV6dehZ4r83fCuW3H0+19g
+4vUsNzQLiQzAzj47U8hS/aVbWH3rR9aavirIloY10xZI/7kDgSxHJLoQoBJkI7QayXskLgqFb6j
Bj+OyKgTuhjtwOQoWRwtQaelyEY8IffChETFlbvHoCnTODUHHD3yCvbfLASEePCBx17BqXoGx1/N
IXmUOu0+IxR5ikAqRZyo+/jxY6/j2lBA/MDDd5+b4rKru4dcFIslilqKWepR8ZNuNhKQwYlr2SNE
QrDr5h9nY5UkOD+yF6nCKMxUATf+6K+hNnMKydwgdl7/LiQzJcxZr2Jw4kqM770Dnm2hcNtPsIer
PecKrrjzw8gURnkbvPyOD0YFHK764Y8jkRa4mJ377+Hss2S6yJ/ZjQq2X3M3e5hmT78Cx2ngpnt/
HZ6bwJlD38OJgw/wLnPr+38Dc+ePw3V1FAZ3cxK/rAVf2nIlrrj9JyMBTaRLGNl1C+bPvcr67fZr
3oWGLUpQkheLFoHh3beJcasarnrHL7FtQ4Y9OQJI1SNDnv6uKXHHqbXBvTGLh0UzFuYLdgb1Fo4j
/BXVMKNAXgvcsJMYlQq8dewYC+oFhMBTDTD6YA3bl1Zge25UQJwKuYmeNAt/et2+PRhJP43JehJ/
88AzuPbGO/nZ6GYS73zLrXj+0H2sSlm+ibEUdUNOcrJeKVHH8NAQdu7eE53r7Gsv4HuvWFz35W37
R2Emspx1StmmZjK1uJs3kSlFHxPjR5+nC/yPcrtJ9aF/HfcaMlNpdE+kenTnoBeGd0WvyQCWVNyy
hwdnWS3o6bC3naKgMLK7PZbsABrl83DDjki+20Rt9iSyw5eh2XJh6FkMbb8WnmNCD+t4SYWAhHp4
+00Lbntg/Or2m3SOd73pY88glR9FpiTsESJaIIpj+zqOTYd++LXHg60lLYKJWs6QQzlQKVIRUA1c
apjkiJ2pIzIo4yKdu9ByiIq4EXMSr2RTlCTV+7iJiZ34wE1Z/PFDLv7msTJ+9sUncOX+O5i/SuPX
4FDtCbQ8Ff/2R3O444osWokJ/O+feRavV88jmdiNRLYoqn26Nv7os1/D2SpVSbHxvnfegmQ6F5Y1
7T/mZVqaZKj1PkkyN4TBiat7POPlR8dt2+Uavv0wWcM798Nu1fH6ga9x/vLg9htQ3Ho1b5lkkAcu
hZz06Nn34gFlkc+njz2N2vRx7Pmhn+mz1faiH3R0b3vGOPjmaFzrFlSjt+O5ht0+O4o7LEFBgKSu
IyC8GzHoItmPFC74xI/fhb9/6us4XTHxm3/0HXz2t7ehNDQR9am8aQfw0z/5MyifeBJj17wHv3ru
HH7/82fFIkG9Gj0HD3z5fnzme1UEgY6P3ZHGNdfe2BNStEoBCXts9KBsaZz/9ZiDZS0mBK3O5VLt
dgK9fqOZ2HbVD/Nrt0UJLTp8UOth4bXgsFHPi4kaUTKlJfJudBC1Jf5hYO8PFsNLeEg7v2/lpMS8
VFqgQfd9rrslDKaw4klHL/XlU1solj7u2mtuxL//wIv4d587j2+8pOJXfvuv8f/8xo9H2SdUxd1u
zGNk39sxf+ZFjpVF3zktfPWrX8Vv/umLmG+auGrYwm/8/Mc7AoiL0fJ9leuI7pX691IPMi6jtGMQ
2HHxnJUAtkNBTqGPJ7n3dvcvBP5nE6Bg60pLxcVXQkE48QalotoeHN1nJO5GES2Q//KjP4Gjp/8M
f/KQg88/5eP1f/85fOT2PFJqE8+cyuAzX/gq/tl73oLTp07iD74yyXfeqk7h//zdP8FnHqxirmli
a87Cp/7tO7B9d0zFXisBEZU/1rDX3KooJiFhu7XFx6QgaVLFi14la+Qv2jGAS9SblLZlztF2yrxz
Kbald5eDimLza77eZLMD+J3/5Z8jm/os/uCbNTx+3MSzp6q4LBNgJDGP+x6ewyNPvYy6o6HRSmPI
dPDQ0QTOv2SxV4t2DhKOO95yz4rc9CuIdomicDoDDJcWkvUoMC07wroe1Y4ShaIpf7hf5yrpkVnv
zMg3m6hohGh0PTiE7SI0drd2sdb1XsPTUMzrP/76v8KNe7+C/+vzB3HwfAKWZ6LuJrA7ex4Pn7sM
1xeP4/X6MK4qnMELlQnkTBcfujWNT37ig9h22bUrFt0VhYMpWi1aEiy9RkS1Ttc+asDpkZTxR6dO
JlLsIlxO7d+LlpYxnxcFKW11Sw80rjDDJdP4uxjocL1g0tTRNpHBhz7wIbz9jtvwwENP4Nvfb+Kp
Yw4LAmVte4qOiWwN8/oe/MKPjODed9yBa6+/JQSVrnxcK8RLULFkav+8vNKda7+LCEYyCLlLhdHY
5S8CWLJBaAwutwpa6sg3hirGBirbz+sjeEr4V/dV2JQd2NW2/QIcmsseweDoDvzMh3bgo++/F+em
T2GyauHXG6L+1XAhjeHRUaSzI9A41331pK+03AztIg71ijCkkHTdebu2ZzRr0mBcSCv1gISlTcNi
2hI0Srua7IHILb3Ctm/93LpdZxTVNnjoIYpUtuvouh15xpX7KxbnEIIMBfGKLoudfxmoBO7OS5UZ
u1vYrYZRg06UjfhIZJBTCTPVoSzEts8s3kG44xwXkoPcZ9z0sa6lMDh+BYqpWKCPxxCWw77A9Uw/
eeLMskfJxi4xnk/tqRoYHBF1VuO9ACMMG6/qokIGlZenNEvhdAyrbcn2zLLsZ1jDtvMzOa9KJJyV
c0kkMBA1+BTqVZjTQP30qNiCB+6DFx95tMLJVmRcZCPAedWCl8pEaacRN/B12wcFHZqEzLKLy3i8
Bi99E+ZdS6SsuHA4nhisg1yRtoWBlA4jXO064m7dOKiulohtG1mWJQ2QqFjIN0SN2bZ5HXdI9Hy8
7XN2d7KC9APKZI6Ac2VoVDXVwrmJJgIqdE0iOdvArrOimnyvc6+YumvVddyQyJM/m9LR2LFTDg1+
3UIq0EIeWEZfmt6XFc1DLWtpyG8voozApl3jJoo8eSwoonSYeKzxCiRAJpPhGr5U1oWqjovas+3K
izThXIaSXe9CiKICzjxi4gwVZpp6Ys/DdYQQhTwRXTcwfa4y7ihUZ0nq920B5jyH8JTUcUkPPOhW
jeH3Uji6PV5crCA8ngReSmesbrUEAYiAaqw7VOe5uiGv4le+78KzFHhUcmfRJU+2pQtVSS7PI79q
L/WEerBpleCgJy1qITPR7spzvRBw2QGB5w/Cuejy8PHC5QDZuokEdG7bfeZkDc3LDNGN17bgU4u0
bptwFTtI/Mr9ZoXmmLrY1Ll/owK32YTRcpFMkgG/dBXOvhQu1qvGbGuKCa8Va/8cXygWdJcNgGQe
VtNGs9XCwEAaWa6xtIrRLwsGlQ77Jgqi11HGXLzEfVwAF6Fe9XE3m2hM8XuUBbjlwhTHdsnfiSr3
4rVoi6es7rotF/4pWhiJi1QUrCSargNQ7xB++J09K2MHt8crP+r6SS+h6Gf5RQtguFP6Vgum5SDD
QcBwx7sgFUvB/w9NV0Kep+rSRQAAAABJRU5ErkJggg==</Data>
</Thumbnail>
</Binary>
</metadata>
