<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20160407</CreaDate>
<CreaTime>08583800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">Contours_CWS_2ft</itemName>
<nativeExtBox>
<westBL Sync="TRUE">7400506.759413</westBL>
<eastBL Sync="TRUE">7722442.759457</eastBL>
<southBL Sync="TRUE">578584.745954</southBL>
<northBL Sync="TRUE">795093.296555</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983_HARN</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot (0.304800)</csUnits>
<projcsn Sync="TRUE">NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601</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/10.4'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601&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;,8202099.737532808],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-120.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,44.33333333333334],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,46.0],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,43.66666666666666],UNIT[&amp;quot;Foot&amp;quot;,0.3048]]&lt;/WKT&gt;&lt;XOrigin&gt;-111333599.999743&lt;/XOrigin&gt;&lt;YOrigin&gt;-98152499.999820694&lt;/YOrigin&gt;&lt;XYScale&gt;3906.2499963620203&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;0.0020480000019073501&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;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20180313</SyncDate>
<SyncTime>08165000</SyncTime>
<ModDate>20240912</ModDate>
<ModTime>10103200</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>NAP</ArcGISProfile>
</Esri>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdContact>
<rpIndName>Jeff Van Note</rpIndName>
<rpOrgName>Clean Water Services</rpOrgName>
<rpPosName>IT Manager</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>(503) 681-4422</voiceNum>
</cntPhone>
<cntAddress>
<eMailAdd>vannotej@cleanwaterservices.org</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20240912</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<dataIdInfo>
<idCitation>
<resTitle Sync="FALSE">Contours - 2ft</resTitle>
<presForm>
<PresFormCd value="005"/>
</presForm>
<presForm>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
<date>
<pubDate>2016-04-15T00:00:00</pubDate>
</date>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;These contours were generated primarily from a 2014 LiDAR-based DEM dataset acquired by Oregon Metro. Historical LiDAR-based DEM data were used to augment the 2014 DEM as necessary to provide complete coverage for the Tualatin Watershed. The general contour generation process was: 1) Apply evenly weighted 5x5 smoothing to DEM via convolution function 2) Generate contours from smoothed DEM using gdal_contour utility 3) Split contours into 1000 ft segments 4) Remove contours with circumference less than 100 ft 5) Build geometry and attribute indices.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>These contours were generated as a cartographic product for use in map production and spatial analyses. While they conform well with the base data from which they were generated, no effort was made to guarantee a specific level of contour accuracy.</idPurp>
<idCredit>Clean Water Services</idCredit>
<idPoC>
<rpIndName>David Mangold</rpIndName>
<rpOrgName>Clean Water Services</rpOrgName>
<rpPosName>GIS Analyst</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>(503) 681-3611</voiceNum>
</cntPhone>
<cntAddress>
<eMailAdd>mangoldd@cleanwaterservices.org</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<idPoC>
<rpIndName>Jeff Van Note</rpIndName>
<rpOrgName>Clean Water Services</rpOrgName>
<rpPosName>IT Manager</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>(503) 681-4422</voiceNum>
</cntPhone>
<cntAddress>
<eMailAdd>vannotej@cleanwaterservices.org</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<idPoC>
<rpIndName>Brian Shepard</rpIndName>
<rpOrgName>Clean Water Services</rpOrgName>
<rpPosName>GIS Analyst</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>(503) 681-3679</voiceNum>
</cntPhone>
<cntAddress>
<eMailAdd>shepardb@cleanwaterservices.org</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="011"/>
</maintFreq>
</resMaint>
<themeKeys>
<keyword>topography</keyword>
<keyword>elevation</keyword>
<keyword>cws</keyword>
<keyword>topo</keyword>
<keyword>contours</keyword>
<keyword>clean water services</keyword>
</themeKeys>
<searchKeys>
<keyword>topography</keyword>
<keyword>elevation</keyword>
<keyword>cws</keyword>
<keyword>topo</keyword>
<keyword>contours</keyword>
<keyword>clean water services</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;These contours were not assessed for absolute accuracy. The results of any design, planning, analysis or other work conducted using these data should be treated as approximate.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<envirDesc Sync="FALSE">Esri ArcGIS 10.4.1.5686</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox>
<westBL>-123.643974</westBL>
<eastBL>-122.362323</eastBL>
<southBL>45.238529</southBL>
<northBL>45.804719</northBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-123.643974</westBL>
<eastBL Sync="TRUE">-122.362322</eastBL>
<northBL Sync="TRUE">45.832177</northBL>
<southBL Sync="TRUE">45.211352</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<tpCat>
<TopicCatCd value="006"/>
</tpCat>
</dataIdInfo>
<mdConst>
<Consts>
<useLimit>These contours were not assessed for absolute accuracy. The results of any design, planning, analysis or other work conducted using these data should be treated as approximate.</useLimit>
</Consts>
</mdConst>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Contours_CWS_2ft">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">4526891</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<eainfo>
<detailed Name="Contours_CWS_2ft">
<enttyp>
<enttypl Sync="FALSE">Contours_CWS_2ft</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">4526891</enttypc>
</enttyp>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>Esri</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
<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>
</attr>
<attr>
<attrlabl>SHAPE</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>Esri</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>IsIndexContour</attrlabl>
<attrdef>Boolean indicator of index contours. For 2 foot contours, each 10 foot contour is an index contour. For 10 foot contours, each 50 foot contour is an index contour.</attrdef>
<attalias Sync="TRUE">IsIndexContour</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>GdalAssignedId</attrlabl>
<attrdef>Unique ID assigned to each contour by GDAL prior to 1000 ft segmentation.</attrdef>
<attalias Sync="TRUE">GdalAssignedId</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>Elevation</attrlabl>
<attrdef>Feet above MSL. NAVD88 (Geoid 12A).</attrdef>
<attalias Sync="TRUE">Elevation</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl>ProcessingType</attrlabl>
<attrdef>Contour segment type used during contour processing.</attrdef>
<attalias Sync="TRUE">ProcessingType</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</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>
<distInfo>
<distFormat>
<formatName Sync="FALSE">Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem dimension="horizontal">
<refSysID>
<identCode Sync="TRUE" code="0"/>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Contours_CWS_2ft">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="3"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">4526891</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<mdFileID>C0A7C328-9A9B-4737-898E-8F2DB13C50EC</mdFileID>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK
CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU
FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9G7Dw
3Y2ayz7ZLmVvk867ne4fb/wL7tXfufLWffa5LE32Gxs5by6++z/KkUX9zc3/AMTuqLStQuXvLjT7
5V+1xKsqSwr8ksTf+g/NvWsYyhF8sUQpRWiRj/YNRTTbXSBbXKLFOu64t5dqNFv/AL33l+WtP7Nr
mmxfurq21JIvuwzRPFK3/bXft3f8AraooVJLqxKnbZlLTdVi1JX2rJDLF8ksMy7HSql5bXdhqU2o
WMX2mK4RUnt921mZPuOv+f7lGpQ3NjqyanZ2zXiNF9nnt4dm9/40dNzovyfP/wB9/wCxRH4nih2L
qFnd6Vu/5+1TZ/32ruv/AI/UuSek3qJtbS3K8kkutTpLAn2DVbB/uXC7tyOn3fl/gb/0JKrulzqu
peb5ECanpq/NbzNvilVvuOj/AMP3Hq7c/ufGFky/curOVJf9ra6On/ocv/fdPuf9G8UWjL/y9QMj
f8B+dP8A0N6hx3v3/r5k2/MeniizS1825b7HL5vlNbt877v7iIv3qzNS1Xw5f3G6W533u3YsNvK8
Vw/+xsX5mq3cppGia1NfTyf8TCdflX53fb8m/Yn+3sT/AL4rQsNbsdSbbBcq8v8Azxf5H/74o1l7
smv6/Uer0bR5D9pXUvGXiKxgad7T+zF8+GZvn270+9/ufdrvvDejreWun6407PcS6ZFbtD/Bu2fO
9cJeWa6V8VZdzKiaksunyp/fWX5//HPkau9+Gly9z4XRZf8AWxTyoyf3dz+aif8AAEdFrgwqvUcZ
93+d/wBTjor32pef/A/M8SuYfsfw50Jtu+7s9Ylspf8Adb53/wDQEr3PRH87Q9PZv4oF/wDQK8c1
izb/AIRLxbaqv+l6XrS6ht/3vkr1PwHfrqXhLTJVl87bB5TP/eZfl3/+OVlgfdqOPkvwdv0M8NpK
z7L/ACOf8QWyP4cl0qX9ze2e64g85fklVf40/vfI9Ynw6vFma40+VtjyqybHb59y/P8AP/tffb/v
uvS9Y0pdVs3i+VJV+eKb+61eKJ5uia86/wDHs8TL/vxMr/5/3t//AE1qq6eHrQqiq3pTjPoegMux
trVlalbSpcLeRRfadq+VLb/3l/2K2nmXUrO31Bdv73/Won8Lfx1Xr3tKkbrY9TSaucvpumywxfYb
ndDFeRb1/vxSr/8AY7G/4A9W31uez03dLFG93FOtvL82xPmfYj/8DrQ1Wza5t0aDb9oibzYt396s
+a5im+yar5X+jyr9nukf+H/f/wBx/l/4HXNy+z0i7f5f8Df7zK3Jszs/CWvfaWfT54mtrtV3qj/P
uX/Yeulrxq/mXwqtxL5UlslvL9otZrdX8pV+Teny/d+59z/br2CzuVvLdJV+5RGTbcZboIybbT3J
aKKKssKKKKACiiigAooooAPu1lWHiSzv7pIot2xt3kTbf3U+37+x6u6lYQarYXFndLvt7hdjJXP6
hbamn2SxnlgmSWfyrW4T/Wq2x3R/7v8ABWFSUotWM5ScX5HUUVS0S/8A7S0u3n/5a7dkqf3W/jSr
tbJ3V0WnfVEVn4egm1b+02lk3r/yx/g3fOm//e2O9btV9NeKa1RomV0/vpVirhFRWiNIpJaBRWfq
WvWOm29xLLcx77dWfyd3z/7myvLfHnjLXtB1S2thfQ72t1kkQQZ8tizZX8Kxq140ldmdSrGmrs9V
0O3lhsHubmPybq8laVkb+Bf4E/75qjr27Spf7aj+eK3i23Sf9Mvv7/8AgFMF/rmsQo1tHa29nP8A
6uaVn81Yv7+zb82//gNUtbtr57C90Vp/tn9pWdxFazTfK6ts+47r/wCh1Ll7nur5+Yr+47I6uisK
bxbB9l/dRN/abMsS2Nx8ku5v/Zf9uqz6VPo8tpqHm3N5cbm+2bGd9yt/dX/Y/wBitvafy6r8i+fs
dNTHRZoXilVXRvkZHqKzvINStUngl3xN916sVonfVFp31RxlnN9js9Mvvmd9J82yuk/jWL+//wCO
RN/u766i802z1iFPtMC3KffV/wC5/uVnpbRXGva3bS/cuLW3dtn91vNT/wBkqKz1W50u1+x3ljd3
N3B8kTW8W9J1/gff91W2/wB/bXLG0FaW3+WhirR0e3+Whq2GlW2l7/IibfL96Z2Z3b/fdvmqrr1n
LNFb3ltEs11ayrKqf3l+46f98O9QrYahrH72+nawi/htLRvn/wCBP/8AEU2F77R9SsoLm++2W9xu
iV2iRHVlTen/ALPWl1a3LZFPa1rI8f8AjBcx3PibR9Qgb900q7rd/kdpfuOn/fKRf9912HwWvP3W
q2O7enm+arv99m/5av8A99/L/wAArB/aK01razstVgVUfzV+f/pqv3P/ABzf/wB+kpvwWvGtfED2
zbvKlilSLf8A3d/2iL/xy4T/AL4rwYydPHtS6/qjy4ycMXZ9TY8SeGPtnjDU4IHWH7Uv7/f9yVfk
fZ/wP/SP++E/uUz4MzSzeHLtWl37bpk/9k+T/Z2bK1fiFcz6J4o0W8jbyUum+zyzbd+3bvRP+Bf6
Q9cv8KLmWz8VeJdMl+5FO27+FNyvs+RP7tdHu08Uu93+OqNNI10vN/5nqdedfE7Qf3sWoRR/O21G
f/a/g/77/wDsf469FqvqVhFqVhcW0v3JV2f7tejWpqrBxZ11KftItHl/gbW4pmexllZEuP4H+4rf
wP8A+yt/wD/broJoWhleJl+euK8TaDPompIssXz/AH96fcl/z/47/wCPN1vg/VYvElnLaSyt9qiX
fE7/AH9tcmCxDpv2FT5HNh6ri/ZyJa5q81KxsNSuImnX7JdP5U6fwRS/3/8A2WuomhaGZ1ZNjrXG
Xln9pi1OBmn3yzt/o+35GWvWqLmWh3zV0b2mzbll0+8+eW3X+P8A5axfwPXRaVqTWEu1v9VXk/8A
xM4b/wAhpZEvbfc9q/zuksX9x6bN4qvklSWCKT91811b3Dv+6+esI1lGNpr+v6/QyVRJan0EjrMu
5W+Rqe7qmzc1eNWfjC+fyovPazdlaVoZm27f9iti2v7zVZbGe51GT5b6JNifIn+qp81/h1LTvqj0
2iuEvPEN9bWD3MVyz3G2Xdb7f9Vt+5W9o9zdJqz2c87XKfZVl+df4qLiubtFcfbfYZre4n1CXZqC
zt/F86/P8myopvEOpwtLtbzka6a3iRFT5dtFyjtaK4f/AIS3VXVIFg/0hVZ2dNj7k3/79P8ADHiS
8vNWuIJV8ndKz/O3+wnyJRzIV0drWZrdnczfYp7ZVeWzn83yXbZ5vyOmzf8A8DrToolHmVgaurGF
C8+gxPLLEs17qV5v8mFtiK2z/wCIiqGH7Z4naWKeKSw0+KXY8LxOjz/J/f8A7u/+596ti+02LUok
WXcjq29XRtjq3+xVL+wZbxkXU7xr+JfkSHbsRv8Af/vVhKMr8q1X9bmLi9lsXfBlt/o93fRKttaX
jboreH7m1fk3/wDA/kro6ZbQrbW8UUSqkSrsVE/hp9dcI8kUjqjHlVjlj4RLXbQyyxDTTO90NvyX
Duzb9jP/AHdzf+gr/vdBa6TaWkIjt7eGKIdFC1ZoqY0oR2QlCK2RLc/PK9YV4+/xRp6y/JEsErxf
7Uv/AOxWxWJ4nTfb2XlfJd/bIvIf+78/z/8Ajm+nU+G/YJ7Gw8MTypK0S+av3X2/PT6KK0LMXRN2
m6ld6VLt+bddQP8A3lZ/n/74+T/vtK2qqX+lWeq+V9qi3vE29XVnR1/4Etc7eabfeG7jUNTs7m2h
09bXeyXbSy/d+b+//n+5WF3TW2hk24dNDVs/n8Uaq3921t0/8fl/+LrYrn3TV/7SS+s7aD/TLWKK
X7RK/wC4Zd7/AHP4vvf+OUy5h1rW4nX5tE8qJtroyPul/wDjVKM+VNWYoytpY6Oqmq6bFqthLbS7
k3fdmT78TfwOn+0lZ+/xDefumg0/TU/imhne4f8A4AmxKLDz9K1b7DPcyXMVxF5sT3H39y/f/wDZ
Ktyvo07Mrmvo1ozjPiis+seC9S0zUFgS9giiut8W/ZLFv2O6f5/jT+9XIeCXg0fTdK1PbsuLOdft
Uzt96Jk/j/3It/8A5Cr13xxpUWpaDcSsvz2qtKr/AOzs+dP++K8S8BvLDrniXw1ctsluomezR/uf
aIn3p/4+n/jleFiouGIi3u1ZP8UebWXLWT7/APDnqHxps2m8GveRf8fFhOtxF/s/wf8As9cNZ3kF
h8Zkvo/+PLWbOK4T+58yJ8//AANk/wDH69O0fyvFvgP7N9/zYGt287+8vyfPXiWpXNtbaTp88S3K
XthP5TPM3yQfO+z/AIEn3v8AeeqxkuWcay2dn93/AAGGI0kqi8n93/Dnss3iFYWlb7NI9pbtslu/
k2L/AH6upqtm+pfYftK/a9vm+V/HtrN8KzRX9nezrt2XF0zsn+f8/PVj/hFdMS3eOKDyfm3q6M++
Jv4Nn92vTjKbSlF7nWnJpNB4k0GLxDpbwNt81fnid/4Wrxn/AEnw3rL+b5kM0Uv8HyPE39//AD8u
35Pu17BM99ojRSy3n2+0aVYmSZdjru/uOtYvxI8N/b9NfU7aL/S7df3v+2v+f8/crjxVL2i9pHSS
OetT5lzx0aNKwuYPGGkpcxbUuF+SVE/vVz+sPLptu7L8jxN82+ud8Maq2iSp5X7mX+JHbYjf7D/+
P/7v3v79ekXNtbeKtNdo9yO3yOjrsdW/uPXZhcT7SKT3OihW51Z7nnN5qX29riKeJXi/5dX+4+7/
AH6ytY1j+ymRZ2WZ7VvluH/h3/fil/vL/t/7ldbN4bitvskDbk+yt/31Vebw3FNLK3m7IpW3sm1a
6Z0+b1NJQ5jjYdb2NEs6tbJFF9oi3/O8Hz/wf3oq63SvFUVzvWWBku4mbckK7/u/x1ial4Mns1ia
2naaKJVTY67/ACvv/wAH8S/P9yjwrbWOlb5d3kvKrI3yu8W7/frlp89KfLLQyjeEuWR2dz48trOw
llaBbl/K3/d/9DrqNK8Q6fqtxttm/e7f412V50/huX7HLBBcrsuFXc+2sezudT0fVL1vNjm2s37l
IJfu/wB99tb1Jclm1uayko6s9Km1VftGoXzaZA8VnO0TXG75/lrQmv8ARX/0afyPm+fY6/xVxuiW
exnuZ4t8txL5ux/4aL+2vtSlTzfL2LP5qPu/9kquVpXRXmjpXvNBvGt4Fige32s6zfwLtrbh0qx2
pLFBH97zVdK5S80T+0l0zyJ40eztdio7fel+T/4iu1h3eUnmpsfb8yJSQh9FZOq3N59st7O2lW23
RNK03lb3+X+5T/D+rLqul28rSq935S+en91tlQqicuUlSTdjTp6feWmVLa/6xK0LNOiiitTUKKKK
ACqWrab/AGla7Vl8m4Vllim279rLVGbxbpTrcRQahbfaFX5UeXYm6uXi8RWbQq/9oak+pfx7JYlT
d/wJ1i21y1K0LWve5jKpHZnUP4k/sqVF1pY7BW+7d+b/AKOzf3N38Na1tcx3luk8EqzRSrvWaJt6
NXEx+NrxP3CyW0zt8nnXC+U8X+9t3K//AABq0NB17w9pq3EEWtQXM0srSy72RPmb/Y/hqYVk3bm0
89CY1U3ZvQ6uqmsaauq6XcWbM0PmrsV0/hb+B6ba63p946xQX0E0rfwJL89Xa6rqaN9JLyKWiXza
lpcU8qqlx9yVF/hZfkertc/b3/8AYk+oRy21zM8s7yxfZ4Hbzd1Ph1XVbN92p6evlN86vYs8rxf7
Dp/7OlZRqJJcxCn3N2s/VtNbUEiaCf7NdQN5sU23cn+4y/3aqP4n/ii0+7e0X/W3DxbNv/AG+Zqf
/wAJbpX/AD+L/wB8PTdSElZsOaL0bGQ68kmyz1Ozktpmbym3xM9u3/A/u/PXhXxUs5fCfi+yvIAz
fZ5Ykilf+795P+BL867/APpklfQEN5p/iG1uIFljuYvuSpXjPxmsY7rwy32yXfqGmyyovmq++WLf
vif/AL4/8erysxjzUG0721T9Ohw4uPNTve9tjvvBl5FYeI9V09W/0S826ha/7rf5T/vh64T4i6Cu
leJtTg+5aaov2qD/AGLj/wCKf5/++/8AYqv4D8Wx3/h/RdVb/j90mX7PP/tQN9x/+AfMv/A69G+K
Oif2x4Z+2RKs0tn+9/3ov4//AIr/AIBUaYnDXj01Xo9/1J0rUdOmq+f9WOJ+EWtb7iWxlb53i8pk
/wBpfuP/AMDR3/79V6nXzvpV5c6D4jt7yLc6btux/v7v4N//AKD/AN919B2dzFf2dvcxf6qWJZV/
3WrXAVeem4PdFYWfNDlfQr63Ztf6bKsX/Hwv72L/AHl+dKdYXkWsabFOq/upV+ZH/h/vo9W6x9B2
vLqcsX/Ho103lf733H/8f3137TXmdL0kvM4fxD4Y+wak8UG7ft3wf9NV/wBj+8yf3P4k2VX8K+Ib
nTdSSJZY5omVU2bvkl/ubH/9B/75/uV6hf2MWpWrwT/c/hdPvq399K808Q+FZ4bp9rL9t+Zvu7Eu
l/jdP9r+8n8VeXWoyoy9pTOSpTdN80Dvv9D8SWfnwN8/3fn++rf3GrBvLOWzm2yrXK+G/Ftzpt4n
m7Xl27G3ts81f4P+Bf7f/AX/AIGr0BPEOmarEiz7rbzfuvcfc/77X5f/AB+vRw+LjUWrsdNOvGS1
MGs+/wBHgvG82LdbXH/PaH+L/fT+L/gddBf6PLZtuVd8X9+s+vQajNanS4qWjOY8m50f/W3Mthaf
3odktuv/AABk3Kv/AAPbV2z1W5uIvPgax1KJfkZ7GX5/8/8AA62qpXmj2143m7fJuP4biH5Hrn9k
4/C/6/L8DP2bXwsLPVYLyZ4PmhuF+9bzLsf/AOzq7WFf2GqzRJFttLx1+eK4817d1b/vh6rprGoI
yRXMsdt/B513aun/AKC+3/x+n7bldpr+vy+5sPaW0kdLVu21Ke2+7K2z+49c+msSwr/pNjJ/12tP
3qN/ubfm/wDHKt2epQX+9YtySr9+F12OtaqpCWlzRST0TOi85dYlilW5ksL2L5EdFR0Zf7jo1NhT
UX160aW2ZLiLck93D8kUsGz5P+Bb/wDvn5/71ZNaEPjCDSZYoLzc7y/6pIV3u22uepSivevYynBb
3sdXU+n/AOurL03W7bUmdYvMR1/gmidX2/8AAq1bB9kr1UWnqiou+qNCiiitTUKKKKAPiR3vIbdI
LyX97F8/kwy76i+2XNnsvLRv33/j9fSqaD4ch2Rarpk9m/8AE+3zbf8A77VP/Q9ta1t4D8HXkW6z
igdP78LV8aspqSfuzX6nzkcBOT92X+Z8v3OsXN4qebPOnmts2b9tE3hWx8W26LYz/wBm3Fv953uv
k/333fd/9Br3jxJ8H9GSW3ksbHfE27z5nZ7h1/ufuldf8/w1nw/BDStVuElsdatEli+fyUtZUf8A
4HulrB5ZXcuWSUvmTLB1b2krnz9ZvqaLcafqss++zX9xNaNs3N/t1NpvxU8VQ3SW0/iPVPK/h2Ty
o9fRGpfAf7YtusV5bQpbrsVIYtn/AI/89Z+t/Ae5ubXyrSz02F1/5bee7v8A+ik/9DqJZZi6fwN6
ee/3PoZ/U68fhbOCtvivrmjqnlXl39o2/M00u9/++Pu/+ONWxpfx48WeZtiX7e7N9y7iT/2VFrP1
L4Ia5o6/aZFV0VvmmuJ4kT/0OsG80rXkb5rP5PuL5LI/y1PtMZR+JyQc+Ip7to9b039o2Lyk/tPS
vJb/AKYz7q6PTfjl4a1Lft+0o6/e3xJ/6Hvr5nudEubNtt5EybvuwzK++qiWzWcvlS7kfb9z/ZrW
Oa4qGktfUuOOrw0ep9EXPjnQ/Em9rzU9PhuG3JEn2F5XVf4HR1+b/wBBrY1vR18f+H9VliX7SnlR
RQO7JvZVf97t/u70+WvnTTU8m8/frvTds37fu/8AAK77w34n/s243RMyf3Zt3z/99/5/3K6qWN9r
dVlo/X9bm1PE+0uqi3OX+GPiGLw94ovfD2qsqW9wrWsE03yIrff3vu/20SvpXwHqX9paH9hud32i
z/0dkf8Au/c+f/0H/gFfNnxCeK88R28+3963z+ci7K9r8AX8dtYWWp/ameVpYre8/wBqJk8qJv8A
vpE/8f8Amb71Xls3TqOle6X5f8ArBzcJOD2X5HOax8Nft+uahovn+S6q1xZ/32+T5EVv+Af+Qv8A
Y+bY+DniRtS0Z9Muf+Puz/gf+Ff8/wCfkrs/HWmz/Z7TWrNP9N01vN/3ov40ry/xDc23h7x9o/if
T1ZNM1Jt86J/C2/ZL/wKuycFhK3PHvr6Pr8nodE4rDz5l/S/4DPYKx30qfTbh59Mb5JWZ5bGZv3T
M38af3W/8droPse9fNibejfPUUkLL/DXsyipbnoON9zJtdeX7VFbXltPYXEv3fOX5Gb/AGHSrd/Y
QalavBcxLNE1PvLOC/geCeJZom/gesl4bzQW8228y/0/+K3dt8sX+5/e/wByod46S1X9dCXdaS1R
y/iHwXbPdf6Yzfvdvkaht/i/uSp/3x8//AX/ANrCmTX/AAr5sEsDPF/z2RfNilX/AG/kdf8AgT7W
/wBuvTYdV0zVVe2aWN3b5Gt5vkf/AL4amv4V0rbtisYbZ/79uvlP/wB9rXDLCqb5qTszmlRUneDs
cDoPjZrP90v7lP8An0dXeJf9z+Jf9z5tv+wtdXbX+meIWRYmW2u2XeqbkdJV/vo6/erE174XNcq8
tndK7r/yymXZu/4Gvy/+OVxsz3OjyyxXPmebu+5L/E39/wDzu/8AZqwjWrYbSS0MlUqUXaWx6Lea
VPZt8y/J/fqpWPo/ja6eJEa5bZt/j2Sp/wADRtn/AI5K1bdtr2n3LeVfW32OVvueTvdG/wDHEb/x
yvUp46nNanZHEQkModFkXa670/26tyJpj/6rU4E/67fJ/wChVL/Yk7RJLE0cyN/GjfersVSD2Z0c
0XsznX0GBG82z3abL/ft9ibv99PutVG83J8uoQT74v8AVahYxb3X/gC/N/7LXVvpVyn/ACyaq7wy
p95WqXTi1p/XyJcFbQ5+HXGtrd52nj1KyX713bt86/76Vq3lhBqVuiy/76ujfOv+2j1X1XR4r9Xl
iVYb1fu3G3+7/f8A9ms22h8m4iig/wCJPe/8+83723l/3PnT/wBlrL3oe7NXX9f1a5ndx92Suv6/
rc3dHfULXUrRryWOaK3Zv3yffZdn3P8AP9yvQIZlfYy15vpWpLf2qbtsN2q/vYf7rV0eiak0NwkD
fcarUFbmiWo6XR3UL+dFup9Z9nN5Lbf4K0KpbGgUUUUxlT/hNDZx/wCnWZuY/wCKayVm/wDHG+b/
AL53VH/xSnipvPtbmKG+X5XmtX8idf8AYf8A+JavA0+OWoaUqbrn7T/4+i/99b2b/vurE3x00/VV
SW80y2v3/wCeqRPavF/wPe7V4SzHDy0lL7/+B/keZ9bpS0b+899+zTWg+5ba7b/8AiuP/iW/8dqt
HZeFvETG1ntFgvsZFvdK0U6/7Sf/ABS/nXjdn8adITZ5VzPCn9y7iS4iX/cfejf+hVvW/wAUfD2t
qkF9Y20yN91IZd//AI5KiVtHGUJaKa+eprHEUpKyl956UPAdxYj/AIl2s3iJ/DDdt9oX/vpvnP8A
wJmqI2+p6eubuCeaPGfOsgsmP+Aff/753VyVnrWmSL/xKtX1LTdvz7P9bEv/AABq0rbxtqFm2xr6
21L+60M6RSt/2ylf/wBnrpVSHR2/Ff5/gaqcXqn+pryWun+KoHtvtFrebTua3l3RSxN/u/eRqz5v
At7Zx7II1lg/5430S3X/AI99/wD77ZqluPFFvfRqdSs1liX7v2qzb5f91qs6fdQTRsdLvJ4FT75t
blJVX/gDbqt8s3rZv7mPST1Sf4HNXPhuK2bbc+HJIU/ifRp5bX/x1XT/ANDrCvPA3gXW28jzZNNu
2b5Yb7ejs3+/L8zf8AevTk17WLNvnNtqkX90xPbS/wDsyt/47SSeKdDv0MGoWEltuHKXFvvT/vpN
y/rWUqNOWkl96/VESpwekl96PB/E/wCz/q/2V30PUILl/wCHzvk/z/BXkWvf8Jx8PbjdrnhqT7J9
z7RD9z/vtflr7Lg0PwlfOqafdLYyn7q2dw1uw/3Vqa48C3yq62mu3ghb78VyqS7v++lrya2VQq+9
Rk4vyd1+JwVMBGetN2flsfB158SNK1Vts9tc2237vzb9rV6H8K/iLpkyy6VeaqqW8qsizI2x13J8
/wAn8X+5/wB8fNsr33xP8Gm16CWK+0/QrlW+Xzf7J/ff99LKleKeJP2Nlh029n0/XNmpr88EM1r5
UTf30++1eRLL8ww0/aQSnb5fqzheExdGXPD3vw/U+ntHfztJtG+0rf8A7pP9IT7kv+3XjPxQ0VtI
tb3SFtlm0+6l+1Wr/wAcH99E/wDHfl/uJt+9srwf4M/HjVfhdr39mavcz3/h/cyS26fO8Tf30r67
hv8ARfiv4ddrZm+7vid/vxN/A9ezRxlHNaHLT0muj/rY76eIp46naOkl0PH/AAB4wg+2f2frzbL2
KJbdL5vvxKv3JVb7y/8Asy/+Pe6w6lqqRJusYNSRvu3FpKiI3/fVeG3/AIAnvL+ZZWW2lt12edtf
fE38H3U/z/tVseDfGWteCWig1OzkudPlXer/AHNy7/vp/tf530sLWnh3y1rpd/8APcKFSVP3Z7dz
1K6m1VIXlni0+wi272lllb90v+3VK11Ke4VpbO50/W4l+8ljL+9X/gFcP8VPipZzabaQafO29/3s
qP8AI6v/AAf+zt/3xXk7+Lby2uLe8W8nm3Lv/fN86/8A2NXXzGFGpyp3+ZVbFQpytHU+jZr/AEjW
G+w3P7m4l+RYbuJreX/gG7Y3/A0p/k6rprfupf7Vi/6eGWKVf+Bqm1q8s0H4qfb7VLa8l3xN/Bcf
vU/+KX/eRv8AgFdtYeJ5fKT7NcrMi/P5Nx+9T/gEq/Nt/wBt4q6KeKp1db6+RpCtGpqjpbPW4Ly4
+zSxT2d3t3/Z7hdm7/cf7rf8Ao1t9Mhs3bU1ge3/AOmy791Upryz1JYoNTtpLZ2b907t8jN/sSrT
E8PXMOvWV4t551vbqyOlx87/ADfwI/8Av7f++P8AbrscpNWSv/XY6Ltqy1OXvPA2mX9v9u0i58l9
zfubhnR1b/0JW/8AHv8Adrn77TdT0f5pYN9u3yb02So3/AF3K3/A03f7detzaPp81w88tjbPK33p
niTe1H9g6Yjbv7PtN/8Af8hK5J4NPWNl6f8ADGDw99VoeKf23fWbbltp7NP77/6Kn/fO/b/45RD4
wi2vLLBH83/L8kXlOzf7EsWxq9I8Q+HtPhv4rmeCC20zbsZ4YIv3Tf33+T7tVLzwBbWzee0X9pW7
L8zp8lwv+5t+Vl/2PlrieGrRbUXsc7pVFezMKw8f6mmxfPkf+5DNEksv/fC/N/wN627P4jLMv+kw
QOn8Wxtmz/f/AIV/4G61g3ngbSrlXXTL6d0b5/JezeXb/vbXT/x/dWFeaJc2DbWbft+67tsRP/HN
3/fCLS9riKO7v+Ic9Wnuz0j+2NFvESWVZ7BG+7cMu6L/AL+rvX/x+i88NwaxZv5TQX9u33XRt9eT
77yzleW2nkR1+d5k/h/8ff8A77d609N8YS21x5su7e/3pkbY/wD33/F/wNG/4CtdFPMXtUWhcMX0
mja1W21PQW+3TxLNFZxM7TbtjtFs/jrb0PVftOpJBPE1tdr8/kv/ABJ/fR/4qsab4ql1u38jZZak
kvybJma3lb/Y2bGVm/4GtV5vDbTWsVzpDNMkX3YZm2XFq39xP73+4/8A33XoRrLeGqfT+v6R1RqK
947HoFadtN50Ncf4V8VW3iGzTayw6nEv+k2L/wCtgl/jR0rorabyZf8AYrphNSXNHqbwkn7yNOii
itjY8ym/Z78NXTO0rXf/AGxZE/8AZKybz9mnRXZvsd5JbRf3Nu/d/wADr2CGaK5iSWCVZom+dHRt
yNT68+WAwsl8COR4Wg/so+f7/wDZg+V1ttQXY38G7Y9cvqXwB8R6az+VE1y/8M0LfdX/AD/sV9UU
VyzyjCy2VjCWX0JbKx8ZTeHvHHh5ns3VYdPb7yXCojt/txeb83/A0qV9H8X6avn21jqFsn/LX5XS
vpOaO+e/SDU/t01vLdNE2y6RIvmf5NiL833P79auieC7bQdQSeCVtiqyxQ7UTbu/vv8AxV5qynml
7s3b8UcawH8smfLmj+P4LZfIuVudK1Nf+W3/AC2l/wCBt/7JV7/hZeuIySrbR38X/LKab55Yv+2v
+t3f8Dr6A8YeA7bW9SivH0yO8t9vzRQt9nl3f3/9r/vta5d/hT4e1LzYLWfULDb/AK20bYm3/e+S
plgcVTfLGen3X/QmWFrxdoy/Q4TQfjfeW3ytLd2397fO9xu/7+7/AP0Ou4034wNefLL9mm/jZ3XY
kX+++/bXOa18DfszbraVrmL+/DF86/7Gzf8A+Pf+OVxWsfC7XtHV7mCBoUX5/wDYX/fqPaY/DfEm
0he0xVHfU9wtviFouqxbZ7aN4m+T5JURG/7+7Fb/AIA7VpW99oBZPLu5NI/uQ+bPpqN/3y6K3/j1
fLtzDq7t8rM+pr/zxbftpln4i8Q6Jv8As0smz+4n3KUc2kv4sL/IPr7+3G59k281+ozHq946dMZg
lH5bd3/j1M1S6nl0m++166lrD5Debusdjqu3+9ur5R034nanY7/PiX5fnbYux2rqLX4u/wBsWUtj
cwN5sv8AqlWeXyl/ufIztu/z977td0c0w80000/U6I46lPTZ+p866r4el03Wb1pIvnWdtuz7i19O
fsjXs+oWl9p6z7GiV3VZv4vn/wDskryO/wBHW5Z4pV3/AP7dd5+zfa3fh/4gRNZM3k3SNFL5vzfL
sd//AGRK+Yy2m8PjISjs3b7zxsHF0cTFrqz6E8Q2C3X2i6vvItvsbeUtxDv83d/sOvzf8ArEm02+
1K3+wrqsd4jL5sE13B88TK//AACul1C1ude0XUo1/wCPj7SsrJDLsZkX+638NUvAaWO14J54Ll7e
BpW/e73RWd2+/wDx/wC/X6LKnCWj6n10oxlo+p8f/HtL7wl4yiWVVtpZYFl+zwt8kTfx7Ki+G6ah
480u9ggsWvLiz/et9nXe+3/c/iq7+1Yk/wDwm8UrS+dEy/uHT7m35PuVF+zH4ni8E/ES3a8l2Ral
E1u/+z/Gn/slfms4qOaSoyfut2+//g2PjZRUca6bfu3Irmzl02XbP5n/AAP5Nta+j+NrzR1TyJWT
a3977v8An/P36+rtb8L+HPG1rtvLaCbzf+WyLsf/AL7rxnxn+zfPZq8+kXLXNuvzbH++v+f8pXs1
ssxOGfPR95eR6NTA1qPvU3dBoPxOsbxvKudsLy/I2xU2S/78X+qb/vhf9+uzttei01kltp1tkb/l
in+qb/cRXZf+/Tt/tpXz5rfw91PTYk+3QSJbsu9Zk+49N0fWJ9Nt/szNOif3G/i/36zp46rSfLUR
nDFVIaTVj6th8SL9lW6ksZ0tf+fqFkuIv9/5XZtv+3tqxqtzO+jXE+nsrzeVvif76NXzvonxInhX
7HAs6XDN/wAfFv8A63/P+f8Ae7v4a+OW1uK4s2nns7uJvm+zxJKjf7ez73/fFe3RzGFW0L7/AJnp
U8VGp7t9z0Kzh1C/s0kg1eGa3lX5d9n/APZ1e0fTf7H02K283ft3fPt2fx765mFL5LiWXTLm2vJW
+dv7PZPmb/prbs/y/wDAHrrrbzZrOL7TEsNw0S+bCjbtrfxpXpUmnrbX8DshqZMN/qGqr59isFta
N92ab53b/b2U+bStTdd39qs8v/PJ4E8r/wCK/wDH6itpp/DcSW1yrXOnr/qriFfniX+5Kn/s9bFt
cx3kSSwSrNE33WRqcYqWkm7jS5t9zB+zW2sXSWeq6RAlx5Xmq3yP/wB8P95a5rxJ8K4l33OmMzp/
FC/zv/wD+9/7N/t12FzN9g8QJPP8lvcRLbrN/Arb/uf8D30y5e81u4uLa2lWzsom8qWbbulZv40T
+7/v1hUowqJxmru/zMpQjNWktTx+5sL7w8yMsSvFcLvX+OKdf/Zv/Qt3+06bum0fxUyyxS7vJuNu
zznb/Wr/AHJf73+/95f93fXoWpeHrO/0n7D5XkwxLsi2f8sq811jwlssLfULZdlvdKu5Eb/VN/8A
Ev8Aw/8A2fy8E8PUw7vDVHLKjKi7x2Oq1jSl8Q/ZNe0Xy7bW7Nvm3/f/ANuJ66vT7+21K38+2njm
i3bNyNv+Zf4K8s8Pa9Ppuxv+Wtuq/fb7y/3H/wDi/wCH/d+Rdia8i8K68mvWas/h/UvkvkT/AJYX
G9Njuv8A47XXSrq3P33/AM/8zohVXxff/n/mep2c29dtWKyoZtjJKtasbeYu6vWR3ox7nRHtriW5
0qX7HcN87Q/8spf99P4W/wBtKZ/wkn2GXytVtmsG271eHfLE/wDwNU+9/sVt0VPJb4Xb8hctvh0M
f+3p7lf9D0i+m3fde4RLdP8Age75v/HaHs9cmi3NqdtC7fwJa79v+589bFFHI38T/QOW+7/Q5+Hw
XBZ3tvLBOyRKyyzo673nlX+N3/vfNXQUUO6xq7N9xacYRh8KHGKjsYUOq6ncy3EttZwXNosrRKnm
7H+X+OsTWJtQudWtJYtMubbUFZElfcj27Rb/AJ/n3/8A2VdF4VRv7Bt5W+T7RuuP++n3/wDs9Ldf
6x6w5XUim3uZcvMk7jKwrl28Q36RQKv2ezuleW4f+Jl++if3v7v/AOxWlqWpRaVa+bJ87/cihT78
rf3ErHs/tNnYWWi2bRperAj3Vxt3pF/ffZ/ef56mo9eV7f1ZESl9ki165s9bifT7S2+2XG7Zv+x7
4V/v/Oybayr/AOENjc/NBeSQuv3XeJPl/wBxF2Kv/fFda81t4b0uJWZvKX5FT77yt/8AFVSsPDq3
lnFLqvmXN9Ku+XfK+xG/uJ/s1zyoxqP343f3WM5U1J+8rv8AI8p8Q/B+XR4kn/tO08rdsiS43p83
+29cbeeDJ4ZX8iBbyVf47SVLh2/2/l37a+gHTT7C88rTLFbzU0b7nmvsi/33+fbVi8h1C8j/ANM0
jS7lE/v3j/L/AOQq82pl9GV+XT0u/wATjlhacr20/E+dL+Fvs6StEr3sS7GdP4v9+u78B2d5o6xa
rAv+l7vlR1+9tilfZ/3wkq/8DRq6qa50q8ZIorOOH5ldpvtSXCKu/wDgRXf5qsaDo86WEVj/AMe1
2sFrewecv3WVNnz/AO+iItY0sJyVOaLv6dyKdC073NjTfKvLOK+vJ2v7K8/0e637EeCX7n8Oz5at
6V4V0qZ7jTdQto7y4stqRXEy/vXi2fJ/n/Zrn/J+wq+oWds0MTStb32n/fT5fk/74/8AsPu/PWhb
X8FzbpLBctviZfsN3K3zr/0ylf8AiR/u7v8A2avXjPZT/r+n92x6EZL7R4/8UPg/feImil0rbc6l
Zbt1jNL86t/ufe2/Ijb03bq+Z7n+0PDviBFvop7O9s5fmhf5HWv0gdIPFGl7vmhuFb5H2/vYJa8H
+OXwQvvidqiahYtbWHiO3g2XVpM2xJ9v8cT187m2VSqL2+Hbcvz/AODseNjsA5r2lLV/n/wfzPXN
Nmh1v4Y2uoRazH9kWwWVVt7ZftC/J/e3/eqKHwzqVmukWeq6xeaxd333bd5HiRF/j3eVs3/8Cr5I
8J/FTX/hfdP4e8RWNzeabatsa0WXynif++rbGr3jw98WvC/ji8sp9M8VXNnqSfJ9h1id4t3+xu+7
XqYPM8PiIqEtJrdN21O7D4ylVSjLSXVNnrd5Jo6W9xpt9bWyWNrtilR4k8pf9ivPNS+F2g+INWez
0yXzomiaV5oW3pA39x3/AIt+/wD3qfrfgm8fSdTaVY3TyJZWSZmf7ZKyff8A+AfJXZ291YWt5oln
FcR6Za2toss6RH/WNs2pEq/+PV61WhCqv3kVY76lKNSymkeHa38JdQ8GM/lW32zd/qnh+fd/uf7X
+x/6F89cFqt5qum65/acEDW0rMqXUP8Atf8AAq+nfEXiKfUNQh8OQ2czwX7fZ5biVdrRL/u/3qf4
q8PeGvGdxLZ3bR22pr/H9x//ALKvErZVzJug7djzamB5rui7HkWifEuK5WL+1d1y6/ed2f5f9tH+
8rf7afNXqWg+PI79ki3Nf/Lv2Oqfa9v+4vyt/ufK3+xXl+q/BC8m03+0NIl+2JuZPJ/3X2fI/wDE
r7P8/erirn+2vDN1byNE21f40/irkjicThHeqtO5hGtWw/xrQ+sLOaDVrfz7GdZovuN/fVv7jp/C
1cPbarKivfQQT2FxL/r4beB7q3Zv9tV+ZW/z81eb+GPjN9mvP3ssls/3PtG3ft/30/iX/Y/74216
faeNdN1iQ6hY3EdrqGz97Ejb7e5X/a/iX/f+WvXjjKeJScZWa/rQ7414VkrMjv8AxOusabd6fKtp
9ouImi/4/ETb/tujbGWtCwmludWSTTG860b/AI/rj/ljK2z76f7X/jtbFhrGla9siiZfNl+7DMv3
v9z+Fqh157u2utPsbaVbb7VKyNNt3uqqjv8AIn/s9diWnPzX9Dbl+1e5euXaG3lZVZ3Vd2xP4qyd
EsILzwlaW0v76KW1VG2UbNasPNgg8u/Rv9Vd3cux4v8AfRU+b/P+9Whptgum2EVsrb9v33/vN/HW
vxy1XT/Iv4nqjzfUrD91b3y/JdqrfafJX7s8X+tfZ/u/Ps/i/wCBU9PKhiuLO5X/AIl90v2e6hRd
6L/+x/D/AHl/3K6jXrBrzVL37N/x8RWq3C/3PNV/k3/7/wA6f7tYmvWcENhbsrLNb3EG+1+bZcRK
qb9n+1F/6DXmSp8t2jjlBxu0afgbUp4biXRZ5fO+zxb4n3b/AJfk2bH/AIl2OldpHcNCu2vK/hXb
Xl5/ZWtNt8qW1uLdv+A3D7P/AByvUNua9HCycqSb/pHXh5OVNNjHudV0fY08X9sW/wDE9uuyVf8A
gH8VP/t68/6F7Uv++7X/AOO1wltrFzYRaU1tqbI8s9wjW83zozbPk2f7O+um8Galrmq+VFO0Fz9n
VvPeL+Jt7on/AKBXTyP+ZnRyvozSe81e/wARQae2m/3ri7lifb/uorvuqKbRNTRWtoNVke1l/wBa
83/HxF/f2Ov+VoTW9XXXpbGfSv8AR1+dpoW37f8AeqxD4q0+aKKXc0PmztbrvXZuZaXs77t/16C5
L7sf4Zdn0eJWlabypZYt7tvdlV3RPn/irVrn/B95ElvcaUs8cz6Wy2/nI33l2b03/wC1/eroEdXX
cvzpRT+BDh8KOc0e2i0fXrjT7OSR7JbVW8l5XlSBt/3Pm+7vX+D/AGKtv9+obOT+ytSu7OVf+PyV
riCX/nr8nzp/vf8AstVdYe8+1WljA32Z7hmdptu7aq/f2f7VZr3Y/Mz+FFdEW88VSy7fksIPKXf/
AHpfnf8A8cRKZ4VeL7PdxNuTUPPle6R/v7t/yP8A7uzZt/2avWGjxabcXE/nz3NxKqozXDfwrv2f
+hvVTxCn2O3fV4F/0izXeyf89Yv40/8Aiays4++/P+vkjO3L7zH62my80edvuRXnzf8AAkdP/Q2S
rupXX2Gwu7naz+VE0uxP4tqUy/s4tVs/KZm2NtdXhb7v9x0qrpVzc/aLvT75o7l7dVf7Qi7PNVt/
30/vfJ/+zV/DJ+ZWqb8yXQbP7HpNpFuV3272dP4mb53qp4nRblNPgn/49JbxUnT+8vzuif8AfaJT
ZrOXw8sUtnLczWStsltPvoq/30/i+SrGpQ/23YWlzYywO8Uq3EW//VS7f4H/AM/K1Ta8OS2vYl/D
y9TSRVT7qqlY/huFU/tBmX/TftkqTv8Ax7d7+V/5CdKsWesM90lteWzWdw33d7b0b/cei80dnuHu
bO5azu2+8+3fE3++n/7NU/etJa2KetpIbNpVzDdSy6fefY0lbfLC8W9N399K5z7Tc2dxd3iwR3L/
ADRanp/97/bRP7r/AHv+BvXR22sSw3SWepxLbXDf6qZG/dS/7n91v9irV/pVnff6+BXf+F/41/4H
Wcqaqaw0/r+vUzlFTV4s52x1WKzuorzSp/tMTKsTQu373/Yil/8AZX/4DXXvDp/izT4pV+fa++KZ
Pllgf/0JW/h2/wDAa4DxD4YudHb7ZY/6Tb/faGZdzr/8Uv8An/dZofiBoZ2udMfY+3fLabvNR1/9
CZf7r/eT/aWuaNZ05OnUXy/yIjU5HySRseJvDen6lsg8S2cdzF9yDU0X/wAcf+7/AOg14F8VP2Y1
0Rf7T0VvO09m++n34t39+vqrR9bsfElq/lbd+397bzf3W/8AZazbnQbnSlddPVbzTWXZLplx/wC0
n/8AZH/8dqcXgKGLheUb+a3X+a/H1Ir4WniI6r59T4s0ebxZ8LbqKfT7mTUrT/lrYpLKn/oL7q9F
8H/tAaDZ62lzrXhq58Magy/8hCxZ33f7+6vSPFXwxsfEnm3Ph79zeqv7/T7htjq3+f8A7CvF9e0q
80pvs2oWfy7tmy4ir5j2eKy2X7uXu9Oq/wA/xPG5K2Dd4S0+9H0Bo+q6LqUularoP2nW5ftX2iWa
3V98vyfx7vl/4Hvra1Gzj8TSaxrPiOCK3t7dfKtrH/lt8v8Atf7f+xXy3o/n+G7rz9B1C50qXdva
K3l/dN/wCvWPDfxg1HUoorPXpbT+H/S5rN5f/QXSvcw+aRq2jiFZ+W3+f3np0ccqnu1dH+B6VfeJ
J/B91oWmbfO+0Kv2nYu/ymb7iKi1b0dLbW9N1OXV7NYbe6n+aGb7ibfk+9/e/wBysGbQbHWrO7l0
/XluddvGWVLi4bY6/wDXJP4V2V0viTxNpfh3wa+kKrT3kUSp9nX74/2m/u17l4zXM3p23/p+R6fN
GXvPY878VfA2xv8AUkg0+VUuHiaWB/723+B//i688m8Br4Y1Z91tc2cu397v+5v/AM/5+/XtqTXO
gxvrl5L/AMTC6g2W1inyblX/AHvurV7WNVi1B/Dkd5bL9rumWXcnz+VFs+dP+B/d/wD2K8qtltKS
9olys4amDpv30rM8ZtvE8VmsXnys7q3zXCN+9/3933v/AGXds/21r1jQfG1trd5FfQeRf3XkfZ5b
fzUR/v8A34t39/8AiT/YSsfx58I9DuLafUrbfbRRJvnVPm8pf7y/7K/3P++a8y174XeIfA1x8jNN
b7v3VxD89cV8Vg5NON4+Rz3rYZu6uj6Iew1fUl+9baajf88f3sqf+y1harNL4Puk23Ml/FKu+W3u
JXd1/wCmu/8AhT/f2r/u15Z4S+LWtaOr2c7b9v3Umi83/wAc3p/6HXpvg/x/Y+IdU+3S7YftVrFb
t83yKyu//jr+bXpU8XSxCSi7S8zpp1qdayTs/MsX95FNb6frlszJFdeVbyo/8SyuiJ/3w7VyU149
nZp5q74pYF/fJ/y1iiR0RP8Add9jf9ta7X4nWf2nw+ltErb7hmT5P9mKV0/8fRK434l/6Hb3stmy
zIy2txE6f3dlxsT/AHf3W7/gdLEXi2+y/T/gBWvG7T2N3RPDEthFb2dnqskNpbxb1SFU3o7fO/3v
9vf/AN91t/ZdYi+UXtvKP7zWzg/+h1mQ6JbWemtfW0rabLFFv+0f3tv9/wDvVu6fJc32m2lxKnkT
SRKzx+jV2Ril7lrejOmEbWi9Cr4n1iLR7i1WfQGubeH96txsXyom/wDZW/39tV9D1Wxht3l0/wAP
XyPcN5sv2drf73+/5tS20PiHWNNu4J9yQt+6aHUVRJW/3JYH2r/3xWZpVhqfgzzVg0yB7eVt8r+V
87f7byxf/Gqh1J8ylryvy1QnOTafT0Nazh1q51TULmzlk02K4VU/4mDJK/yp/CivWS3h3xelvFG1
9YutqzNB9ni+dmb+P5q1rbx1pk0vlTwMlx/chZG/8c+9/wCOVq22vaRcypFFqEcNw3/LGZtj/wDf
DfNW8ZU5/a19TRSjLVs4rQdEufBLaqtzY/aftFn9oa4tN/zSp9//AIF89WL7xJbW3hfT7HSP7Qe+
l/dN5PzvEv8AG9aHirxbBo63UEWpx212jKm+4i+T+/s/3tlHh7TWvLP+0LGXULC73bG+1rv83/fR
v/ZNtV7WPNyQ1sNVI35Y9DJmW88TaP4a+x689vqDTruaVfu7N+9tlS61rmpn+07ae1jv73SYldbj
T5/naVvubf7v+7Wnc+HtRe1e2lg02bduX7QivbvFu+/8vz7v++1q2/g/SEbdBus2aWKVvJ+Td5X3
Kes5XtZdQ+KWxS0fxRqEy/urGTVbdYldn2rFL83/AI63/jtXdK8Z6Drdv8kv2aVpfKa0uF2Sq3+5
VTwf9j0G6vYrPXPO+2T74t670/3Ef7tYviGw+x3mpy6nLpb/ADs+nLNP5TxMyffpXSV4y0/rqN6a
pm7bPHoP7hp47nSom8pbhG+e1/uI6f3f9urupaJO0sWoafLG90q7Njt8k6/3P/s6898Kpc6D4c8Q
fbrGeZLiJZYruH/lqv3PnrdmtdMRtCXw54hks28397vbzYm2J/Gn/fNSlzR0V1+KJSutFodLpt+u
pb12+Tdxf620f78VZ729z4euJZYLaS50+V2laGH78TP990T+Jfvt/erC1rUL7U/Ew0uea3ju7WDf
5lqu/d8/yMr/AHl/3K0/+Ew17RNSfStV0VtVu1VXWbTv4l/vulLWWrfz/wAyfU1X+x+JLFGil3pu
3rND8jxN/wCytVT+0rzRWRdQ/fWn/P8ARL93/rqn8P8Av0/Ur/T4biy1DT51hu7xtio/+qn/AN/+
7/v1Y0rxbouty/ZfPW2vd7RPaTN8+5Pv/wC9Rbu7Pv3HZ99fzLF5ZwarZvFKqzRS/wCd6VlW2ttp
sT2eprO93F8ivDFv+1L/AAOm3/x6rFtCuiS/6Huv9KuPni+z/O8Dfx/8B/8As60LC8i1JnWBm82L
70Lrsdf+ANRu+zDd9mZiTavf/vVij02L+GK4/eu3+/tfatYNz4JXxJFd3ltEtnrVrOySpbtsSVvv
b/8AZb593+d1dz5LJ975EqjDu8P6tub57LUpVTf/AM8rjZ/6C+zb/vf71RUop259UTKmn8Wp5pNc
6ro9/E32ZvtcX3kh/dS/7exG+Xc//fLf391es6Pqs80stneLsvYlV96L8kq/30/+IqXWNEttat/K
uVb5fuun31rCsPBt5bXGyXUP9E+6zw71lZP4E+/8i/7n/jtRTpVKEny6omNOdJ6a3NfVvDsGpSJO
+5LiL/VSwtseL/caua8SeGINWt3i1ezbUomXY13brsuF/wB9F/1q/wCdldB/Zuoaa2/T7z7TF/z6
agzv/wB8S/eX/ge6q63V5o8v/E5nV7e4+dbtV+SBv+eT/wCz/tVrUjGWk42/I1naXxI8S1r4af2e
0Tadcx6lZS/Iv2f76/7DpXLzaD/rYPN2bvups37v9zb/AOh/d/26+nb+80rSbiK8vvsySv8A6qba
m9v9z+Jq5Lxbo+g69FuigW21CWVdyXG+3eVf49ib03NXi4jLoR1g1fseZVwkY3cX8jwSzv8AWtEX
7N5q3Npu+58jxbv9v+Fn/wC+q9D8K/GP+yrOKzl0yxS0/iSGDyk3f8BovPhqqTeVY3kF5K3y/YZv
9HlX/Y8p/m2/+hVx+seFbzR59s8EkLt/yxmXZu/v7E/ztrzorEYR80f8zkiq2Hd0z2VLyz8YWt3/
AGfp8c13dReV5006PFF8n9xv3q/7mxa0/DdhP4T17T21K2kubeK38pLuFd3735E3uv8ABsRNtfO9
gt5Z3TywXLTP/Cv+f4a7DRPidqGmskU95O6f34Zf++/vI67f+Af8Dr1KOZp29stTtp41f8vEev8A
mW3jvxVfrHcqNNg/1uxvvLE/z71/23/8dSn2OuXetWN00+nwX2jv5qNNFKnyqv8AEyVzvh7UvCd/
a3DW1zc2GoXkTPPcP99t38b7Pl/9lrVsNUX7LLpVtLY6r5sS2/2vT/neKD+PzdtexGrCUXJNNs9C
M4yTad7lJPA2keM/DNlcsyw6nLaruuE/5a/J/H/eryzWPhd4j8MNLfaVctMlvKySojfdf/b/ANnY
/wD4/wDPXvXgXwyL61iubu4ZIkdntrFfk8pP4d1U/CupfbNW12KCWN4opWdvOb5/402f98pXJWwN
KrZbPuvzMKuFp1LdH3PF9K+Mer6Utvp+vW0kyW8qyxO6/P8AL9xP9qs/4i/EjT0g0y5tmke0tZ98
sO351X5/k/3fnf8A4C//AH1603h7w54svLuzaLyYmiW4i+X54Gbf9z/Z/wBiuF8T/Bxkiu9PiZZn
li3rb7fklX7m9P8Ac3p8n+3/ABV5FbD4yMHBS5l367nBUpYhQcU7npU2vaV4q+FtxeWNzDNFeaZL
5Wxvn3MmzZ/vb/lrsfsA7NXxP/wq6+8E3nmxanco9u3ypt2bG/8Aiq9F0f4+a7punxWs93HLJENp
aZfmrWhmyT/2qHK/v/rcunjlf9/GzPqD7HffwxRzJ/fSWoX8+Fd0ttIiU17aL/aT/capftM8OnWS
xTsjszfP9+vqD2ypc/2ff27xXKwTRfxJcKjp/wCP1z8OieHtVWaz0y8WFF+9aWkqPF/36bev/jlX
bTy/EmvPLqFpHeWX/HrBvX+JGfe+3/x3/gFW5tEsbxninto5oreVki3L9xa5mvae9yoycebWyOd0
fQ57a3uGtmtppbVmtfJuIPkZf7it95V/2Pu1q6bokE1hbz6fPeaVFLEr/Z7eX5F/4A25U/4BtqGH
Svtl/qFnbXU9hZW6rF5NpsTczfO/3k/20ro4YVtrdIol2Iq7VWpp0+ltP626kwgYtzDrVgu6DUI7
z/pjcRbP/H1qumvXP2y3ttQ0+CH7RuSJ7efzfm/2/kStXWPN+yusG3zdvy7/ALm6ua8MWttNa/bN
sj3qs0U81w2+VWX5HpyvGajFhK6aSZW8V6PaWtqv2GwlWKeX9/Cm6W3X+Pc1vtb+P+4tXvAEMENh
MkTafDKsvzLY232d1/30ZE+ar2q366bptxctt/dKzqj/AMTVW0fSntt95cytc3twq+a7/Ii/7Cp/
CtZqHLVvEzUbTujo3SV1/hdP9uqT6VbXlukU+nxun+xWZea9BZ3X2aJZLm7++0Nuu91X/b/u1E9z
qesSxKv2nSrJfvPuRJZf9j/Zrf2yvZas2dRbIwU03T7jxo947NoLxRNbsjS7ZZ/nTY/3Nu35H+4z
ffrtbfTYodWfU4LyRJWgWL72/wCWua1VNMffYs19qVx/z6JeSvt/3/n+X/gdP0HTbzw3FKttpkDx
N87I+pyy/wDfG5Kwp1JRk4vX7/0VjOM2nYZNYS6l4wu9P+0q8Vv/AKeqRNs8pmTZ/D91v4v+B1le
IfB7JpemQXmnwTbZ5XnuJpfni3fx72/irduYYry6e5n0W7trj/n4tJ03/wDjr1ha9eS7oln1Of8A
0dvNi/tC1RJVb/fX5f8AvuJqUqnJFpq6E6iindGZ4Y0SW28K6nfTtqFmlm0r6Yj79/lff3/8Dru9
K8P3OqwW+pz6ysOqsm9dvyeUv9z/AGlrl0+IWp2dv/pn2G8t2/jmV7fcv++33v8Avha0NN+Kmlal
LFB9mb7RL8ipCyPu/wBz+/RCvRklCT+8I1qbXK2dJcXmqaTEv9r2cNzZf8/tlJuVf95P4f8Ax+tG
8hW8tZYLyzk8qVdjI6151N4ytr+++y+IIP7E09d22LzWf7V/vfIrbf8AYrtIfGmnRbf+Kghhz91b
qVU/8darp1oSum9PPcqNSErq+nmIk2p6av7pl1u3X+DfsuP/AB75W/8AHa0NN1uz1XekDMkqfet5
l2Sr/vo1WodX863eeVrSaLZ/x8J/8VVW/wBHs9VVPPX5l+7MjbHX/cda3UWvhf8AXqa2tsXaKxGs
NY035rbUPt6f8+98if8Ajrqi7f8Age6tDStSXVbBLlVaHczIyP8Awsj7H/8AQKqMruzVhqXRkVh4
e0zSmlksdPtLOVvvPDAiVXe5095ZbFp7a5dv9baOyP8A+OVsV5ZeeFtZ0u3eOTT5NVt4lXbcWd1t
f/e8pvlZ2+9/wOsKsnSS5Y3Xp/kZVJezS5Y6HXXPg/T7y1eCBmht/wDn0dUlt/8Av03yr/wDbWZf
+HtVs7VoFVdV09vvWnyP/wCOSv8A+z/8ArC0nxbc22xba5W5+bymtLhXR1b+583zK3+xvl/3Frqt
N8f2Myus7NbPF/rfOX/Vf77fw/8AA9tc0ZUKvWzMYypT20PN9Y8IrNOzLaRvu/1tq+61m/4D5v8A
rV/4E1ZUnwrl1i6aO0neG4WL7QvmxOqbV/g3Mi7G+f8A4F/fr33/AEXVbf5oo7mL+4670rPvPCtj
5UrWzNpr7fmeFvk/4GjfKyVjPLoS1eqIlhIvXc+ZbzwNqGlXD7VkhlVt6onz7m/g27flZv8Ax1a2
NB+MHiXQdkU9zJfxL/z8fP8AL/vtXdXNnBYfLBeWiWn3FmSJ0i/4BudP++PNat688I+E/EMEVtct
9g1CVVRm2pbvO3+43yv/AMAryqeDqRbdCfK/Xc4I4eUW3TlYz9H+LUHiS32rPZabdsv/AB9zM8Xl
f7f8f/j7rXRf8Ifbf8IumnWPkX8W5d1w/wB//b+f+9XnWvfAS80qXz9MuWuU/h2fI6/8A/z/AMBr
mrP/AISXwr5svkSTW9u3zOjPvX/e/iX/AMdrshjMRh3/ALTC/mdEcRVou1aJ6FqEK3OpeIFvt1ha
LLbpFC/35V3vsroPENvfaPHoWqXki21vJqe14n+5BE8T/e/4HtrnfDHxL0W5V11PT7lLiX/WvcS+
b93/AHv7ldLrFzZ+NltdPttVX5f9Kit5v4mX7n3vmZa9OnWp1Ye5JXOyFSFSPussa3p8HiTTpb4a
fvZU2/vk/dXSr/D/APEv/DXG337PfhPxI0Oo2Z8q3niVlXrXsXhvxVbavp8RuY/scy5ilif7qSr8
rJWZdeG9W0+6lGhxWctjKxmCzPjy2bqq4/h7/iaKuHo1venBSuFSlCerjdGg/wB1qzPEl9Lpujab
5G1JpfkV5vuKzOib3/77q9f3K21ncSsy+Uqs7PWBdabd+Looftd3dadYT22yK0iWLe0X96VmRvmf
/Z+7/vV1VH9mO50SbtZbs3NIsE02bTbVXZ0jZm3P/G/zs71Na/8ALX/rq9S2f/IST/plEz1mX+of
2V4fu75vuW8DXH/fKb600ivJFaRXkiLw389rdz/8/F1K6/8Afez/ANkp1/qV0+of2fp8a/aPKWWW
4m+5Erb9ny/xN8jVZ0Sw/s3RrKzb79vAqM/95tlUdJfzvEets3ySxeREqf8ATLZvR/8Avt5V/wCA
VirqMYmetlExde1i88N3lpFc3a6kkqs7J5Gx1Vf7v/A3Rf8AgdZmj681st3qdzplylvdSq8t3Ds+
zxL9zf8Af3N/v7P/AB2qnjyb7f4w+zL9xYl+f/aXejp/5NJ/3xXceSvleVtXZt2bK44qU5ys/hfr
+Zz6ym7PYyr9/wC0tZtLFV3xW+29nf8A778pP++03f8AAKu6lqUWm26M255XbZFDCu55W/2Ki0rR
LbR/N8jzPm2p++bftVfuJ/u1S1XfeeILK2Vvsz2/+ked8/zL/Gifw/71be9GLfVl6pXe7Lug2Lab
pcSyqqXDfvZ/9qVvv1X8TvKlnE+6RLTzV+2PbtsdYvn/APZ9n/Ad9bFYXiGzvrm4Tas9zp/lfvbe
3lSLc3+2/wD9nTnHlp8qCStCyNLTbCzsLVIrGCOG3+/shXYlW6xNP17/AE+30/8As+W2Rov3SPs3
qq/30/hWturg017pUWmtArnPDGlWz2Vws8Ed5LFdSo13Mu952X+P/wBl/wCAV0dZk3huxeV5Fikt
nZt7PbzvFuf/AIC9KUeZp2uKUbtMP+EY0rzXlisY7aVvvTWn7p2/4GtRf8IxbfakuYp7lLhfuzPL
5r/99tvo/wCEVs0+eBrm2l/imhndHb/f/vUz+xLGa48ie8nvJV+f7PNdP93/AHKz5V1gibeSLE32
yH9x/asc27/ljdxI+7/0Cs3/AIR5bbey6LY/N97+zJXsnb/vn73/AAN60l8N6UkLqtjDsb73y03/
AIRXTP4rbf8A3d8rPtodNvdfj/mh8re6Oc/4RvSPtX2mXQ9SsH/57TQWt1/6D5rUW2g6Ci7Xl0bf
/wA8b7R4ot3/AH0iNXRv4bgT/UXN3Zv/AH4Z3/8AZ6Z/Y+pwr+61yeb/AGL6CJ0/8dRG/wDH6x9h
y/Zv/XyMuTy/r8ClCl5YKn2G2+T+FNG1FHT/AL9S7FX/AHEesm28T6r4SVLZYJJrJfkihu4vKeL/
AGN7bF/74dqseIdN1Oa1SJLGBH3b/O0+JH3f7D7k+X/x6ufR9T0dnW5uWs/l83/SJfK+X/gLxK1Y
VJShLS6/r5GcpOL00NnVfiteSNF5EC2e3/X7/nT/AGP4N3/fCf8AA6n034ry3nyyvHDcbd/2d7OX
97/wNXfb/wADSsWwtp9Yli2z22+X5InmaJ4pf9x1i+//ANtd1S3nw/1pPmazgmT+7bt/8d81v++N
tZ+1rv3ottehPtKvxRbZ0czxePLd2ik0m2u9vlecjPLcRf7DIyL/AN8P8tbSeFdIS8t7mKVk+wbn
SFJfki+T7n+yv+x92vItV8N3kLea2mT20qr9+FZYk/8AZ/8AxzbUuiJrWvXCWdtLH5v8L/6OiRf8
Did2/wDH6ccR71pQuxxq62lHU9DTQZb/AHy6Dbf2Jbq3yzbni8//AG/KX5f+Buu6q+sJ4tSxls77
TIdYspV+b7PL86/+OJ/6A1c1/YnxI0RFis9Qb7Ov8XyS/wDfCNTv+Fi+KvD3y6nEzxL96a7s/wD2
dXRV/wDHqv20bNTUo/l92w/aL7Sa/I2Lb4r/AGD9xqtnIm3+CaL7PNt/4F8v/fbr/uVp2f8AwiHi
CJ4rGSOz8371vD/o6P8A9sm+Vv8Ae2VwNz8StK16/mfVdM+2faNv2ZJmdPKXZ/B8n97c2/73z1gX
9z4VTesVzd6PqG7etvM29G/2933t3+/XP9b7yUl56Mz9t5przPZU8Jano/8AyCtT/dL923dtif8A
s6r/AMASqkN9eQ65aXOtf6B5CSxSzTWrfvYm/g3rui++iN/D/ufPXNaPYeIPs/m+HvFkGpRL9+J/
4f8AY2fOq/8AfFaE3xO1ews7201rQW/tBYvl+yfcbd8iV1KpBK7TivvX4G/PFb3S+9HI/ETxZ4V0
NroRiUxQy7FKwIy70/hX5t21f4Ub/gH8Fcb4S8WaR4unl/sy+aGWVvnsb5dyM3990+fc3+4jf8Br
Y+C3g99V1xm1y2Wa33NcLDN8+5v/AImn/Hjwx4X0qXT9Ts4FsNbVvNne3+RNv+3/ALX+f7leJP20
6TxWij22f3nmS9pKHt9Eu3U7rSfG2oeE9PVbvSLabTN/+u0+JYk/4Bt3L/wH7397bXU6f8QvDt3a
pKL+ayDf8sSso2/988VzPw91Kz1vwzaSanpX2yXyv38ybXuFRvuO6L823Z/HUlx4V0CaZmttf0sR
dkumPmJ/snbKh/76Xd617NGrVjFOnJNPv/SPRhOoopwaaff+kd94iS0fQ9QWXSmT9w3zJL/sVoQ3
dtfWdlLO01tKsCr92iivX+38v8zv+18i3ZpAv2iWK7853i2Kjrsrn9eTfZ6fYy/8e9xOsUv+0v39
n/A9m2iiip8L/rqE/hNusLxJDFbXWmaq0X/HrLsldPv7W+T/AL53P9yiilV+BvsE/hZw83+k3llc
yt/pFxFFK3+9LcJvT/gGxErvaKK4sNs36HLS3l/XQqalqUGlW/mzs3zNsVEXe7N/cRKq6JprQql5
efPqcq/vXdt/lf7Cf7NFFbx9+o0+he8nfoatFFFbGpjtolz/AGpd3MV95KXG3dsiTf8AKmzZv/u/
/F0PZ6vbfNBqEdzt/wCWNxFsRv8Aga0UVj7NdPzI5EZjvYwtuvNanfUG+b/RJ3+X/YSL/wCwpr3m
/wCWK+1ub+7Elm6O3/A2TbRRXDzvVHLzdBk02oW3737H4gT/AG5p7LZ/6Np9n4en1i3dooLLfu83
zriXzbjd/vxbNv8AwCiiuj2S9pyNuxr7NcyTdxz6V9gb/iYWd9Zuv+qvre6lukX/AL6+Zf8Avjb/
ALdW4bOz1LZ5+tSX8TfP5PnoiN/3zRRUtKM+Xf8AryDSMuW2gXljF4VtZb7T9ttZRfvZ7RF/dbf4
3T+41dBRRXRFcsnFbWT++5qlyyaQVmeIZmttGuLmJV823XfE7rv20UVdT4JMcvhY+10G0hsXs5Yl
vIpW3S/aF3+a3996ZD4b0q2+a2sY7B/+e1iv2d//AB2iikoRa2Dlj2H2F5Lc6lqGmS30lzaRQbJW
+48TN/Ajr/sf+yVlX/w6iuV2tKutxL91NTupd/8A33vf/wBAoorKFONZWn3f5kxgqitIrWvgyK40
W7l0afVLC+t90S2KX2yJZV/g+X5aq6bpvjp4nbT/ABDbXLr8stvqcWx4m/ufc/8AZ6KKyeHj7tm1
6afkZeyjdW0Oc1jWrnR7povEPhPTZrh/vTWmxJW/23dX+Wq9hqXgC5+9ZyWG1vmlt2R0Vv8AgX71
v++KKK8TEVZUazp6NeaR5lWo6dTk39SxefDrwdqtwlzY+JfsGobt6zbnil/9kasfxPo/iHwTZpqa
61beJIrVvlaa6d7iLd8nybqKK1lCEqc5xjytdr/lexrKMXBySs/I0/hpqs+t2sv2NVhdf9Kid1+7
87/+h+a//jlcv8RfK1LUvsLT+dd+fsZ/uJ9//wAd/h/ylFFZVHzYKDfUym+bDRb6nrdh/ZGlabFZ
+Vaaxp8TNLFLbyolxa7n3vs/+w+augsNJstWtUubPVruW3f7reah/wDQ03fnRRXt4dqTSa0sejCS
dk1of//Z</Data>
</Thumbnail>
</Binary>
</metadata>
