Spatial Systems Associates, Inc. July 2007 Worcester County Buiding Footprints, currently in process of Qcing building to the 2016 aerials. March 2016. (Approx 85% 2016. see source attribute in table to see dates of 2013 and 2016 buildings) vector digital data \\WCGISPRO\E$\ArcGIS10UpgradeData\UpgradeDataStore.gdb sde.WORCESTER.Buildings Originally, the Building Footprints dataset was captured for the Worcester County, Maryland GIS Response Mapping project which occurred from Fall, 2005 to Summer, 2007. Spatial Systems utilized aerial imagery dated March, 2004 to create the building footprints data. Upon receipt of the building foot prints from Spatial Systems, (SSA) Worcester County GIS Anaylst has been doin QC of the Building footprints relative the most current aerial imagery available. Worcester County GIS began to QC this data. Currenttly this data has been QC'd as per the current aerials that Worcester Co. has. (Currently 2016, March) Worcester GIS is currently in process of QCing buildings to 2016 aerials. Approx 85% complete. see attribute table field "source" to verify if 2013 or 2016 aerial NOTE: Ocean City has not been QC'd to the 2016 aerials, however some small portion has been, see the source field in the table to determine this.OC was not a priority for our QC, since we have in the past received updated data from OC, and would have to delete our efforts. Please contact Karen Zera, GIS Coordinator of Ocean City, MD to get updated Ocean City building footprints. Her contact email is kzera@ococean.com In the future when the county receives updated aerials, the building will be QC'd to the new aerials. The purpose of this dataset is to show not only the building footprints of all addressed structures throughout Worcester County, Maryland, it is also to show the geographic distribution of all addressed buildings throughout the County. en This dataset contains representations of every building in Worcester county larger than the approximate minimum of 100 square feet. These polygon representations of building footprints were constructed using perpendicular line and square and finish line creation tools to ensure geometric accuracy and consistency. Building placement, dimensions, and boundaries were determined from Spring 2004 1 ft resolution digital orthophotos. Orthophotos have a 5 ft degree of horizontal accuracy, therefore data placement has the same degree of accuracy. July, 2007 publication date Complete As needed -75.672791 -75.050021 38.461261 37.976127 516600.152927 570196.725265 36157.856495 89056.429344 None Available Building Footprints 911 E911 Maryland Worcester County Emergency Services Department Eastern Shore This data is the property of Worcester County, Maryland Emergency Services Department who will determine its availability to users. This data is the property of Worcester County, Maryland Emergency Services Department who will determine its availability to users. Spatial Systems Associates, Inc. mailing and physical address
6345 Woodside Court
Suite 201
Columbia Maryland 21046 United States 410-423-1870 410-423-1871 8am - 5pm Monday thru Friday Spatial Systems Associates, Inc., Current buildings as per QC of current aerials is credited to Worcester County GIS. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350 SDE Feature Class Dataset copied. \\wcgisweb\e\Worc911.mdb Metadata imported. M:\worcester\metadata\metadataexported\basemap\buildings.xml Metadata imported. C:\DOCUME~1\spatial\LOCALS~1\Temp\2\xml5.tmp 20080207 Dataset copied. Server=WCGISWEB; Service=5151; Database=sde; User=worcester; Version=sde.DEFAULT 20110519 Vector Simple FALSE 54439 TRUE FALSE coordinate pair 0.000032 0.000032 meters North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 GCS_North_American_1983 NAD_1983_StatePlane_Maryland_FIPS_1900 1.000000 Explicit elevation coordinate included with horizontal coordinates sde.WORCESTERSDE.Buildings Building footprints for all structures throughout Worcester County, Maryland. SSA, INC. Feature Class 54439 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. SHAPE Feature geometry. ESRI Coordinates defining the features. Shape Geometry 4 0 0 Shape Feature geometry. ESRI Coordinates defining the features. FLOORPLAN1 String 255 0 0 FLOORPLAN1 Floor plan field for the first floor (or basement) of the building. SSA, INC. FLOORPLAN2 String 255 0 0 FLOORPLAN2 Floor plan field for the second floor of the building. SSA, INC. FLOORPLAN3 String 255 0 0 FLOORPLAN3 Floor plan field for the third floor of the building. SSA, INC. FLOORPLAN4 String 255 0 0 FLOORPLAN4 Floor plan field for the fourth floor of the building. SSA, INC. bldgtype String 16 0 0 bldgtype Bldg_Desc String 250 0 0 Bldg_Desc Bldg_Use String 50 0 0 Bldg_Use phone_num String 50 0 0 phone_num source String 50 0 0 source floorlnk1 String 255 0 0 floorlnk1 floorlnk2 String 255 0 0 Web link for the floor plan document for the first floor (or basement) of the building. SSA, INC floorlnk2 floorlnk3 String 255 0 0 Web link for the floor plan document for the second floor of the building. SSA, INC. floorlnk3 created_date Date 8 0 0 Web link for the floor plan document for the third floor of the building. SSA, INC. Shape.len created_user String 255 0 0 created_date last_edited_user String 255 0 0 last_edited_user last_edited_date Date 8 0 0 last_edited_date floorlnk4 String 255 0 0 floorlnk4 Shape.area Double 0 0 0 Web link for the floor plan document for the fourth floor of the building. SSA, INC. Shape.area Shape.len Double 0 0 0 Mrs. Teresa Anne Owens Worcester County, Maryland Emergency Services Department Director mailing and physical address
1 West Market Street
Suite 201
Snow Hill Maryland 21863 United States 410-632-1311 410-632-4686 towens@co.worcester.md.us 24 hours This data was commissioned by the Worcester County, Maryland Emergency Services Department and will be distributed at their sole discretion. Spatial Systems Associates, Inc. assumes no liability for the accuracy of any particular geographic area within this data set. This dataset must be ordered through the Emergency Services Department in Snow Hill, Maryland. No exceptions apply. Computer software capable of accomodating an ESRI personal geodatabase. 20080507 Spatial Systems Associates, Inc. REQUIRED: The person responsible for the metadata information. mailing and physical address
6345 Woodside Court
Suite 201
Columbia Maryland 21046 United States (410) 423-1870 (410) 423-1871 8am - 5pm Monday Thru Friday FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile en 20111019 10594200 FALSE 20230406 09482500 20230406 09482500 CalculateField sde.WORCESTER.Buildings source "2008 imagery" VB # CalculateField sde.WORCESTER.Buildings source "2008 imagery" VB # CalculateField sde.WORCESTER.Buildings source "2008 imagery" VB # CalculateField sde.WORCESTER.Buildings source "2008 imagery" VB # CalculateField sde.WORCESTER.Buildings source "2008 imagery" VB # CalculateField sde.WORCESTER.Buildings source "2004 ORTHO" VB # CalculateField sde.WORCESTER.Buildings Bldg_Use "single family" VB # CalculateField sde.WORCESTER.Buildings source "ORTHO 2004" VB # CalculateField sde.WORCESTER.Buildings bldgtype "Ag Building" VB # CalculateField sde.WORCESTER.Buildings Bldg_Use "church" VB # CalculateField sde.WORCESTER.Buildings Bldg_Use "county landfill" VB # CalculateField sde.WORCESTER.Buildings Bldg_Use "funeral home" VB # CalculateField sde.WORCESTER.Buildings Bldg_Use "nursing home" VB # CalculateField sde.WORCESTER.Buildings Bldg_Use "post office" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk1 val VB "dim val\ndim pval\ndim sfind\ndim sreplace\n\npval = [floorlnk1]\nsfind = "http://wcgisweb/"\nsreplace = "http://wcgissrv2011/"\n\nval = pval\nif IsNull(pval) = false then\n val = Replace(pval,sfind, sreplace)\nend if " CalculateField sde.WORCESTERSDE.Buildings floorlnk1 "<a href='http://wcgissrv2011/buildingplans/schools/Worcester County Career and Technology Center/Worc_Career_Tech_Center.jpg' target='_blank'>View Plan</a>" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk2 val VB "dim val\ndim pval\ndim sfind\ndim sreplace\n\npval = [floorlnk2] \nsfind = "http://wcgisweb/"\nsreplace = "http://wcgissrv2011/"\n\nval = pval\nif IsNull(pval) = false then\n val = Replace(pval,sfind, sreplace)\nend if " CalculateField sde.WORCESTERSDE.Buildings floorlnk3 val VB "dim val\ndim pval\ndim sfind\ndim sreplace\n\npval = [floorlnk3] \nsfind = "http://wcgisweb/"\nsreplace = "http://wcgissrv2011/"\n\nval = pval\nif IsNull(pval) = false then\n val = Replace(pval,sfind, sreplace)\nend if " CalculateField sde.WORCESTERSDE.Buildings floorlnk4 val VB "dim val\ndim pval\ndim sfind\ndim sreplace\n\npval = [floorlnk4] \nsfind = "http://wcgisweb/"\nsreplace = "http://wcgissrv2011/"\n\nval = pval\nif IsNull(pval) = false then\n val = Replace(pval,sfind, sreplace)\nend if " CalculateField sde.WORCESTERSDE.Buildings FLOORPLAN1 val VB "dim val\ndim pval\ndim sfind\ndim sreplace\n\npval = [FLOORPLAN1] \nsfind = "\\wcgispro\"\nsreplace = "\\wcgissrv2011\"\n\nval = pval\nif IsNull(pval) = false then\n val = Replace(pval,sfind, sreplace)\nend if " CalculateField sde.WORCESTERSDE.Buildings FLOORPLAN2 val VB "dim val\ndim pval\ndim sfind\ndim sreplace\n\npval = [FLOORPLAN2] \nsfind = "\\wcgispro\"\nsreplace = "\\wcgissrv2011\"\n\nval = pval\nif IsNull(pval) = false then\n val = Replace(pval,sfind, sreplace)\nend if " CalculateField sde.WORCESTERSDE.Buildings FLOORPLAN3 val VB "dim val\ndim pval\ndim sfind\ndim sreplace\n\npval = [FLOORPLAN3] \nsfind = "\\wcgispro\"\nsreplace = "\\wcgissrv2011\"\n\nval = pval\nif IsNull(pval) = false then\n val = Replace(pval,sfind, sreplace)\nend if " CalculateField sde.WORCESTERSDE.Buildings FLOORPLAN4 val VB "dim val\ndim pval\ndim sfind\ndim sreplace\n\npval = [FLOORPLAN4] \nsfind = "\\wcgispro\"\nsreplace = "\\wcgissrv2011\"\n\nval = pval\nif IsNull(pval) = false then\n val = Replace(pval,sfind, sreplace)\nend if " CalculateField sde.WORCESTERSDE.Buildings Bldg_Desc "mobile home" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Desc "single family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "fire department" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "multi-family" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk1 "floorplan is not available" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk2 "floorplan is not available" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk3 "floorplan is not available" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk4 "floorplan is not available" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk1 "<a href='"+[FLOORPLAN1]+"' target='_blank'>View Image</a>" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk2 "<a href='"+[FLOORPLAN2]+"' target='_blank'>View Image</a>" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk2 "<a href='"+[FLOORPLAN3]+"' target='_blank'>View Image</a>" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk2 "<a href='"+[FLOORPLAN2]+"' target='_blank'>View Image</a>" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk3 "<a href='"+[FLOORPLAN3]+"' target='_blank'>View Image</a>" VB # CalculateField sde.WORCESTERSDE.Buildings floorlnk4 "<a href='"+[FLOORPLAN4]+"' target='_blank'>View Image</a>" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Desc "abandon" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Desc "plant nursery" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Desc "single family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Desc "townhouse" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Desc "vacant" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "bank" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "bathhouse" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "clubhouse" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "communication tower" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "condominium" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "elementary school" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "fire dept" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "gas pump pavillion" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "gas pump pavillion" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "mini storage" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "motel" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "office" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "office" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "restaurant" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "shed" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "shopping center" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "single family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "single family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "storage" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "transfer station" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "treatment plant" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "treatment plant / DPW" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "warehouse" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "wastewater treatment plant" VB # CalculateField sde.WORCESTERSDE.Buildings source "2010 aerial" VB # CalculateField sde.WORCESTERSDE.Buildings source "2008 imagery" VB # CalculateField sde.WORCESTERSDE.Buildings source "ORTHO 2004" VB # CalculateField sde.WORCESTERSDE.Buildings source "ORTHO 2004" VB # CalculateField sde.WORCESTERSDE.Buildings source "2010 aerial" VB # CalculateField sde.WORCESTERSDE.Buildings source "2008" VB # CalculateField sde.WORCESTERSDE.Buildings bldgtype "Shed" VB # CalculateField sde.WORCESTERSDE.Buildings source "2008 imagery" VB # CalculateField sde.WORCESTERSDE.Buildings source "2008 imagery" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "water tower" VB # CalculateField sde.WORCESTERSDE.Buildings bldgtype "Chicken House" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use multi-family VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "multi-family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "motel" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "office" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "hotel" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "single family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "pavillion" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "restaurant" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "shed" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "townhouse" VB # CalculateField sde.WORCESTERSDE.Buildings bldgtype "Garage" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Desc "Apartments" VB # CalculateField sde.WORCESTERSDE.Buildings bldgtype ""Commercial'"" VB # CalculateField sde.WORCESTERSDE.Buildings bldgtype "Commercial" VB # CalculateField sde.WORCESTERSDE.Buildings bldgtype "Shed" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Desc " " VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Warehouse" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Warehouse" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Restaurant" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Restaurant" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Retail" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Office" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Assisted Living" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Auto Services" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Auto Services" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Auto Services" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Bank" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Desc "Airport Hanger" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Airport Hanger" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "multi-family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Rental" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "greenhouse" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Bathhouse" VB # CalculateField sde.WORCESTERSDE.Buildings bldgtype "Public" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Bed and Breakfast" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Church" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Recreation" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Retail" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Office, Medical" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Office, Medical" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Recreation" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "School" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "multi-family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Retail" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Retail" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Retail" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Rental" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Recreation" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Auto Services" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Communication Tower" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Recreation" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Variety, Offices & Retail" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Motel" VB # CalculateField sde.WORCESTERSDE.Buildings source "2016" VB # CalculateField sde.WORCESTERSDE.Buildings source "2016" VB # CalculateField sde.WORCESTERSDE.Buildings source "2013" VB # CalculateField sde.WORCESTERSDE.Buildings source "2016" VB # CalculateField sde.WORCESTERSDE.Buildings source "Not on 2016 aerial" VB # CalculateField sde.WORCESTERSDE.Buildings source "TOC" VB # CalculateField sde.WORCESTERSDE.Buildings source "TOC" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "fire department" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Fire Station" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Funeral Home" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "gas pumps pavillion" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "golf course outbuilding" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "historic museum" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Hotel" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Industrial" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "multi-family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "not active for chickens" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "notin use for chickens" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "medical offices" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "medical offices" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "single family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "single family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "social club" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "storage" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Telecommunication" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "waste water treatment plant" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "water tower" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "waste water treatment plant" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Communication Tower" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Church" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "dugout" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "multi-family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "single family" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "Church" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "pump station" VB # CalculateField sde.WORCESTERSDE.Buildings Bldg_Use "single family" "Python 3" # Text NO_ENFORCE_DOMAINS Server=WCDBSVR2; Service=sde:sqlserver:WCDBSVR2; Database=sde; Version=sde.DEFAULT ArcSDE Connection sde.WORCESTERSDE.Buildings 002 518978.523361 570196.497489 37320.602064 89000.567200 1 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_StatePlane_Maryland_FIPS_1900 <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/10.8'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Maryland_FIPS_1900&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-77.0],PARAMETER[&quot;Standard_Parallel_1&quot;,38.3],PARAMETER[&quot;Standard_Parallel_2&quot;,39.45],PARAMETER[&quot;Latitude_Of_Origin&quot;,37.66666666666666],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26985]]</WKT><XOrigin>-36747099.999921702</XOrigin><YOrigin>-29091499.999880299</YOrigin><XYScale>31249.999970896202</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.00025600000023841897</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>2</MTolerance><HighPrecision>true</HighPrecision><WKID>26985</WKID><LatestWKID>26985</LatestWKID></ProjectedCoordinateSystem> 1.0 150000000 5000 FGDC Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388 Building Footprint Kelly Henry Worcester County Technicial Services Division GIS Manager Kelly Henry 516600.152927 570196.725265 89056.429344 36157.856495 1 -75.672791 -75.050021 38.461261 37.976127 1 1 -75.645527 -75.050037 38.460441 37.986599 The purpose of this dataset is to show not only the building footprints of all addressed structures throughout Worcester County, Maryland, it is also to show the geographic distribution of all addressed buildings throughout the County. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Originally, the Building Footprints dataset was captured for the Worcester County, Maryland GIS Response Mapping project which occurred from Fall, 2005 to Summer, 2007. Spatial Systems utilized aerial imagery dated March, 2004 to create the building footprints data. Upon receipt of the building foot prints from Spatial Systems, (SSA) Worcester County GIS Anaylst has been doin QC of the Building footprints relative the most current aerial imagery available. Currently this is being QC'd using the 2019 Aerial Imagery. The QC effort is ongoing and is not complete as of 10/7/21. However, is approx. 75 - 80%% complete. (This is a guestimation)</SPAN></P><P><SPAN>NOTE: Ocean City has currently not been comprehensively been QC'd to the 2019 aerials, however some portions has been, see the source field in the table to determine this. As time permits the Ocean City buildings footprints will be QC's as needed.</SPAN></P><P><SPAN>OC is not a priority for our QC, since we have in the past received updated data from OC, and would have to delete our efforts. </SPAN></P><P><SPAN>Please contact Adam Dikerson, GIS Coordinator of Ocean City, MD to get updated Ocean City building footprints. </SPAN></P><P><SPAN>In the future when the county receives updated aerials, the building will be QC'd to the new aerials.</SPAN></P></DIV></DIV></DIV> Worcester County GIS. Worcester County Building Footprints 911 E911 Building footprints <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data is the property of Worcester County, Maryland Emergency Services Department who will determine its availability to users.</SPAN></P></DIV></DIV></DIV> Kelly Henry Worcester County Technicial Services Division GIS Manager ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset 002 file://\\WCGISPRO\E$\ArcGIS10UpgradeData\UpgradeDataStore.gdb Local Area Network SDE Feature Class SDE Feature Class NAD_1983_StatePlane_Maryland_FIPS_1900 EPSG 4.5(3.0.1) 54439 20230406 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAA JwAAACcBKgmRTwAAIABJREFUeJzsvWmTZdd1Jbbu+Oaca55QhcIkUBRBkBQhkbQoSm1JrXDL3QpR tqxwhD86Qh3hf+Af4XCEI/zRYTssd4uyqKndkjhITYsiKYIEJU4AClPNlVk5vOmOjrX2OffdzMoq FEgMRaIOmciszPfuu8M5++y99tprx9s3v1bjRxx1AEwnGRCFCMPFF0dQ1ahrO3QQBAjcd72vrhHU QFBXCPmXstDv+d4gjlBVFeZ5hjzPm9+HSbzv+DyGjuP+/U4Nfw3+OtrfOXiuB3/f/jvP1x/j4PeD P7/lcwuAKqj0nfeTI9J9BcLafgafQ1khm0xx+/ZtTLZ3dX6rKytYWl1DMlrC7ckEV65fw+b2bQRJ jNWjG1hdX0OcpiiKAnEYIgkiJEGItATCskZdVajrElXEz69QBe65wH+3e1DyexCgrgMUdYWycs8/ CDhtEBQVwggIEKEIahRljawuUVeBriuOE3ttEOia+Lm8vjgIEQY1YgT6zLxKsJsF2JkBk7KDIhoA yQDzItLfQ0QIUSEA51xh9ybIEKFEXU6BOkMnrtHrBeilNaIwR1DN0El4MbndR1TN8w04c4MEsxl/ FyMIeE12XXA/+/lRliXK0v4dhSnimHOZ7ylR5RMEYYkw3D9n4jCyuVMAURQhDFJEUYJ//Po/4m// 9j/hyMYJfOCDT+PY8TWkPT6nDGWVYzjsI00T5MVc97kqgdlsxk9GFCbY3t7F669fxnhvhjRNce3a FVy5cgVhFKDf7+MTz30cX/3qV3VvL168gCuXL+P06RM4d+YMBoMeIi7XssRkMsH2eIbh6hGEaQ+d ToIoDlBWFSqetLtPVR0gCCI93yCIUdYBqsqWfFBnGHQKhGHBv7r7ynlV2/2uaz1z/p7Pj99j/Jgj TiJNA/9wmsnoTqBttPzQz81CrfRANMnrWkaKN6SiMaMB40W0vt6rcbfPvpex8td/mIH6cQzV/Q4u pYAPPQzR6XWxGqyi3+lqAk9nM0yuXkWyO8bOZA/jvQn63RRHjp/A6tE1TaydvW0knS6qIkfOo+nS YsTabWgo+AE0mnc/Bz5bXmtR1ZofVUFrGtjmw4kcFra4m02NnxCiojUL3fzhote9xL55VdGAuffS HlQ6I5tL/h6b4eDrS9ScUzU3GDM++jkswemnJRHZ7/i6oC51LkWWc/dFSBPs9saKBtstypIGXMaF 1+TOTYvO1oLfYGnC/drgd85x0HA285pfi7nhN8KI9wHAdDZGt9PHuXPnZACSuCMjwePwM7rdPrJs hizLkGVzvTdJ7d4vLy/rHKfTOXq9Hh599FGkCd/fwXg8xnQ6xYmTx7Gzs4Pl4QCDwQBHNtYwm01w 5vRJ9Hpd9Dod3cOy5PMKMBwO0R0uY1aagdb5ciIEtAb7J4TNdV6/bVgyWLz8qkDNc6Td4Hu4gdEk 8VnpXtTcThByk3PH/fENVhyj4ER0xornZjfaLGKgTanlpbgfeULe84J7qEWe64bzIQRRqGM3hqpl vPQ57qjvhgm7w9ge8re7vYb3xY/DDNfbYYT9PT30b5zwXOhhgmGaotvvIdkbY3tzC3u7Y8y2tmXM NpaWMFgeYtAfIC5rGamorJC4xcOJWtOA0DWJaWhae85ird35+W2jXZp3VFfQjq4NqXYL2m1i2k2D EIEzakXOHbtGXZT6zCCKEdMbkQHUdoeyNt/JvutFnFQ6LH9ToZAfZpORS6BAqM8qkdBghZAXGYZ8 N727HEFYy4vj3Ka3EUScq+5ZyUDydTzlxfP3BovnWzkD7ddB40HV/n7YmuGGb+aKZ0ij6owWzR7/ HkWIohizma2LlZVldLtdGZ/Lly9jaWWIMssRxDESemIhP4+eao7ZmJ4V0Ofr98b43vd+gMuXr8rY 9XoD/e3E6VN4+eWXZZC59r7zredx9epVfPBnn8Z8PsVkvIskibGytITV1WUMet3mmuK4gzKzu6t5 XnKDsvtEEySDrefgNjc3vJ3gvSiLEHVAL5qPJ0AdLjYYvqiqSm1Kdo8qxD9WSKIHZYbEhz7+eH6H UMh3l8Hpw8vRzltVCj8WO4u5xN7L4mI5bDG80+Nuhuh+P7ttsN7uodCPn+FORc/ah4ru3vJR+92+ ZhgVx0j7PQyqUmF2fWMLgyTBsNtFyns9t9CCodhKtwtEsYVodjWaPHnIZxQp7A/5vA6cl9awO5e2 173wNuzc6P259a7J2Wx49JNonRQaVbYh0uOpIxkWzg3+mx9S1BH9FGRliKqO5IlV2uC8IeF94fKh deEioIdAI1QiDgqkUYAkrpHGtMABqrKya6KxSUKuwCbc80aQcz7ifA8ivb4NdTTPprUm/L9tgzav hyGi7ovCycU90CKVd6cni1k+w2iUyJsKGI5VjEDMK43jEJubW/KAVlZW9L0oMxRF7g5Vy4uS4S8K TKdjbG9v6bN5HuaNZfj+D76P3dvb8qheffVVTKZ76HVjOQzXrl5Gt9vBqRMn0Ot1sDQc6Hg0njTs cZKgKmmkuXad58x51Hi43nu0L2+4acKCOkVZ2Lw0O0Iv1hssPt1c7y/960EI4MccfkE22JWbeN4I BQQo3OJqP9j2TsKbyS/+LkrixoJrRLT9rcVw9838HR1vxVjdDaN6pwysN1T7zsEZrYKGia/hQpZX CyCN0VseodvvY6k3wGRnF7u3biFMQiyvrGG4NDDvouZ73SQkPhFWqCPIyyrp0wTc8dznH3JpNKT0 mvV+BnMh4QN3TyoeQ3FBy2s2z0PnX9YKGYmZcELzQxqclOcUhCjpSdQx8ipCXvOLc4PxnYcYSlgc x8VBNI14SYkYJZKAxzcPi0aLBotzV9dclRZ6okKisNTCwKoqhNXJA4wSfa9j2xoU7jjjZbbWNloa BHv2LuJoRQkWvvICY+f9uVBTziZ/Nk+Da4P3KU07KHP+vUCvn+L48WN44YXvKORbWVpBHCbyiIhn 9QddxFFP4eGkHiMKA1w4fx7Hjx0TrsWhMLoETp06oc/44Q9/iCcefxzHjx/FI4+cxd7enkJCGkiG kj0aK48p0puME1RVSK8HJUPD1jw0jJoG1jYWmx+GRfG+yfJUnB9zPaNcQRQ3DX8fbLNlSExP2Cbu j+lh8TwMx2i5xVwYLa/Ce0z1IQuZEyRnXOw8K4GNsVl2/9473udvyLuEZ90tBPQ//6hA+rtx/jRa pXCaSJ4CWuEK/xilMZbW15BwsQaBdtjdrU1kk130hiN0h10ZliiskEYRiihAFfKYCze97U21h/f6 /PO3qN42tWZ+EFj14LQ7TttDhwOcGWaEiIX3mGGTFZN3QoOV1QkKYSOcZzQMtKqMMSyxo1CT8D+9 KjCJUIEOFY1VHBagI0XcLHBGWMaR2EltHlIbOOeZR5H7u8LW2L3G4zS8X/ujDvc0mufehhHMQPP8 zOjJ+PFYzhklEM6Vn+VzgeTEpeJMUTmSNMCJEycEpF+7dkOfFScplpaWkCQRtm7fQlGUwoW5plZX V3DkyIZhxJXzfuoYSdoVftXtpVhZWhZwz/u+tr4iA0mDxSnEULQTJ+56zfOxDWd/Mqy9/mkI9Txc SM77awA8DZeDBfRvt+sprDd8kltMVdtGIvArfBswLLlx3nIJ+LTBnVELhK4jf+8elDI9zvXlW3gz ZbGdZ+UBeE5ghoH+4u9YE961rN9bL+t+MoCHve+wMOJHOqcD/z54tJCgd2AZOo/ByPui4alq5FGF 3soQnUEPk709bN/cwvbObcxnM4zykUD3uJsgJnYRhsi0cA1jtAwtQ7C7n0Bzve6Zc5brXS7M5y6v UDV0mE8Y2kZFb4ZGVeA8vRY3mUvOsdJ5aAkKfsnLIjJFk8PrZWZwEZIQl6L1o4cV0WhFDAGBhAB/ mIN+X1jTpzJjZaE2T6xU2CuDx4UjG+gwmVYIu7jOdnJoP8jun/ViTjiog56J1jo/hz+UjYH3x2Lo x1tdEqSu7G9c/Hk+x5lTpzHe/T5ub27JOPf6XSRRjJSGpQRWl1ecsS10XVVBY5UrFKNhWBr1BboT pzt7+pQMG5My2XyuMJSgfKfDzCbTpYYAhhHDbyDLclTOc+Q5esNNEJ2eqEJnXqPzrhrQWd6kOTH0 oHT5jcEzL1lGm9lfepfCBiPNoR/bYPldxGMV/uH5XYbe074F5QyWfy0tMHcOfu07lgNdFVoeWNT7 Fv27kG07ONoG6F4ZwP1ZosMziu90tpD3dc4sX05co242BdJHGCbNCf4WmSZDdzQQ5rFze1th4tat TYUbQB+9JNEziasSJTEg7tCcPYwR7zGaDLBLU3P/8d4HjSlDLbQ8sIP303AeGiGDBmiwGCqFBGwV YtJoEceiSeISjA0TYbgl0JeLw74i7u4hjaJhKbGMEw9oAC9XNA2afx9BYM69iB5AxGDGFpM2UywW qDcsBnhb1qydJWwbtsOMmOE9fk4ZduVejZ2d21hbW9NzAU01MbaQ3k6Cokgx3h3rM+iJ0bi8fOkl 4VlPPvk4hoMlhYc8JVGF5gy/Kh0r7ZhnuLu7qzmytDTU32/evInllRE6aQ83btzA8vKSfXZg72eI a7iYD21JS6FBDVBXbrNxQKQZMsPs9Pz8puXwOfnIycJmMDMt66bX2d02moRzjKq3wcPyN55TpJlq +sEmG2+GZQuNsjDPsib842QejUbNsWScmgyvS/26MFNHPOBO+If9To4FcLgYjdd3wP09OO5GxXg3 qQ00VhwJDY5PVDnsUJMqiYAwkctd8HZ3YgxXlvRs8ulM3K14bw/96Qgra6vo9jpKM9M74/uTXhfj ycT4Wi6c13NjZpLH0OIlrcHCKm+wYno3lSVXvA9tk50eBhf6AvPJ5gXyvEAUd5XaZ9ZsnhWYzmvc ns1QBB1lB2ms6Mlz4fhQsw36yow5b44eATNwnShFUM5R5rkAa94HZg3TyEMTHmh33lNIBMz4YobT LugTPCbvM9cjQzF5olq0xrvi6/PMQjSFRGGIlJ9hqXQXEi7AaXofSd/oCg3FJ+J6DzCbT/S70dIA Z6PTMjx//ud/jj/9s8/j2WefxbFjR2TY6If2+13EcU+fQX4WsbiicMkQMdkqVGUuL6vf62CyN3bU Bcsk6nwVgtpaphFn9rahrTQJM4Zydp+EAdbAPM/FH1OSgl5iUaHMzQboBakZI96fEAw3+fzMm1bS IO2b91wUyMrixzdYb4b36AI5Ed0D5PDGyu++dxv7wPb3joL1Uzs4L5gBJPlUqfskQspEdBShzzCS Xm8caQLvbm/r+dHjYvjIFDpxjJ3N20ASoZt2FdZzwplhsglNw9bgOfSi6LXQXDp8TSEOPR0H7u83 EPTA+A+C3NzlYwPXyxB5SewqQEkyIl09hovywuiNccKQ3uB2+waC8J49F4PlnbgQwkoss2aYgQUC Av/ey29wNwvnFKG26Aq26Jzn1KL2eM9WxkOf7XlYFnkQP7Jls9gE/TKisbGN3ygPcNjdIhytMZns oUcqShxjfWMNR48eFUDOz+/3h8Il53NuWgsDQ4PVrEN5QDQ4dk6GOZKu5DzxA2t6nwesaJYBepPm NOqJB+CIPDoPy7AsPlPDqS1ymjMJ3WRhdY1V5LDNULjFnFlEQVh0E5O3AcPyN9qxfPdjSgQuiWPR ohshlLscT1g3w5HiDiMe3s1YtV97WHbsnRgH3Xj/uwdxLKbO4h75e3YH3hcAuVL+BIqBQmFZIAyE 39MkRtxNtTDLnR1Mx2PUZYnBfKAMY9LroMtMUWwAqjJYzAO5rJ52XWeI6BUYFWLBoxMrqswEbpsH 0T5BrnAzckwaWFYwRVGF8gSzIkBWkaeeMHfkIBK/0s3waX7o+oyZbsiUS5krfLHARMRPjymJJEoD bqFlFDoiI0NhWSIuT+dBRAFyMvXFWnfESG7KMtL7qRw+PFTmkwkMehrEd7lIXebCjFLlDK33DA+E x/V++lB/aJ5T2k3x7Ec+guWVFXMEgkjVIsQgGRbSc6VxojPHyoe6cRwCORN2PjSuDNNoVPg33mvy 3wy303n4DGYr2SKumwB1w6naNo7ZZmYKc59Uc/w7hn98jqUIuHwQxL6IUcb2e2JtpXn/PCdupbys ty0kvJsl5gV7fhVPlIvBE0Lttr3J8e/hWXEhqsTiXQ4J7+dvD9K4m2Gva/KcCFbbLiZgXpway+Aq zOmkWDqyhu5wgL2dHWEmBGUH0zn6yyMsHT+GObGweY5ZniGOUqTdjiatQglOdnGj7DP5WSI1e4wz dzl2t/EtsFBj1gecsHGMukpRVRFmBY0V5xUTCWZUdC1aUMrdta/cMdx5D2iMGJbQW4pQkDNUxhYe R670J2TK3i2e+iAp1MBhEhsDTTreI56DfZJFEh7GIFa44BL6LKOyeJGn7RieSENo124eoL8Pd/Vs 6gVebNdWYnv7tv594uQxrG+s4pVLrymUJ67V63fceqORzJDTGrhNhGEtqxaIE5mxqpEQj1II64i3 LQzWbzT7h8tyWpagOXf/HPx1+3thG795jobvmafLw9AbV8hIm895yAQNs0MiCzteHt6m0d4cPavZ u4LGeA30sBjjm1vKcMDcz30P5i7Hv1f5xzs9Dhrl9g73oI77uV2RC284ZThxCEAzaSWDxSNw90WI dNBDvzdAmCaoowSzyR52pzPsZRlujcfojQbo94boxSnTktrBOY35rBmmiUpRu4Wh1FDocCLzNiK3 +P19FS6ki3AhmeoMI8yqELOSuAgNHxcE/ZzwzuuWh+UzdcoM6G8iN/AcFF7YQomYnqfhjoirmVfG eUnPzHhrxv/REWWsjN/FsKqs6Dkmd2T1PODML85/T4mQUYsDw7mEYclCuxOnr7cA5/WrNn7rKgJq h+84qjjyao7+sGPlLnUhB4GE16STYnl1Ba+//jrW11cFss+yOfI8MxySFSrZ3JyJIre6XmJmbn3S 9zMepftc5/B5I66zDchXc3NJ/zbSrjYIlxUkUE+QvpMY/jUv5g00xEg+jFJ9FknB2hKMeKf5QG+U SZmgYlbaYZ94m0cT73PSevKoAx4NfFy4tJ568ZMyDjNSPwke1mGbig8VidNwqmhv1wwyT8VmYiTA k8aG1ICw18NKp4NsMsLO5ha2trbww3/+Dk6cOomLFx/HxpEjwjMms6kmdNrr6v2GVRlmRY+ETgwX AoMs8oW8ByiQWtQAZ0hp/EKW3kRgtJkxFCR+JSNoBbWiPOj9znD5Uh+7YvdfJhxIa3BF2EwYsCSE BojeB7OGIiiGDQue50RTWeRZkz3UkbVozWNiIiGikfb31HkQ7eLndljYJo02WVF5kZ4ObZlK8bsY DSmEvHuSJlCCoVa5TpHT09oV8/z8+fPIskJAPMmfNBiDmqEjDVIHnZQgPL0WJlYmlhVleBi2cCu3 RhuD2eB/i5C+WbuKM3k+DJ999n7/Ru89TYHnuSUR4iDR5iEqikisTM6Rh6ZaB31qr2sYX8g6z7fD w2oWQcPO9UWuFgZ6cL25EW5H8UW5iwTu/vGggOxt/Oow7tV7bbAOgaXse33v0JB/N2UH4hHEY4gR iSZlIWKTYeYuzhpAhg+BuDndlFSCSqEgJz45QK9eekXHHSyv7PtMywZ53pxYp9pRGQoRO+lyMfNn LQIL3wRqC7BIUdSs56sxL0oBsBkxrDpCFaaiG4QCkN3mdxgPTRskF5Sba6JXGUbEbCexGiMqmrdm NX3udFXKRIzJynq0gOV9Gj2C11OwxlJG1oB1w48WRo3zw3tUZmAW1B2jWvC9i+ygGU1v/Di/9nuQ tV1VE5kUxQSb25viVdG76sYpIqo1zOZS4GAYfOv2lsL1lZUl9Po0EoUMMWsyvVFaGFMH7su7vBO7 LQ8YTT6zRSa2RuS8Wx/oG0sgFDwgY8VaYfe86TZlisB9MoEGy2VJVaQeSHmCG4g9YBJ/f4yhKdgQ eR3BThTVhXflXUwuCIUFZKx6yRj+TgSxNx/eI2h/fzh+9OElaRZhhy1UTy3gxBTBtKpEQiSGQOWC 6Yw4VYC0P8B6nOLpIMKLL76Ily+9Kkzk0ccuoj8aGi7BUhXJx1jxOiHTOqScC70uFjTz2A6LEa3C QlMRBSPiLqlCIe68/BvhF01u7uQihzIjSL5Ue1Ia8N/2tAxTYSzX5OK0cXIeTedc9Ew01EiCHCHB 6brQguNCGfb7Iloa/4sMf+70NJX0SyNM93JX+2fkSQXRSt9buRkH1wA9H74mrwpRGwzrqjDoWchq XtYiS2heSavg2nG1glZYwteSc3V7dwdRTC7WCOPxBOPr21JvuHj+Ebz00kvY2tzEfLyHZZbr1Cl2 dvaEQ7L2sCPPsgV30JjTw9MmZoXZ4skpc9f4se6EtDL3hUlm4BbZw143VThMagaNVUXqiHhvFuoz FLRrdMSoUE/KMeAZvk8bYJ5oa+yzfHcbXr7iIEHUGMQB0jAVm12xOr0qV5oQJV0j2xGvcju3JElY E+GhxZZmlr9Y/31RD1ofKJhdfH83Rht0POw83+txtzM4zEO940nLc3e/JS7jKASkNvj3ZwU3IXoU DKx8yCi5BXR6CdaPnwSiVEWzV65dw2QyVUjCOreU/BvxeErQBBDDjIMUGVnaep4sjSE+RDwnRk7m u0B/hgUp6oK6TuT80GgZmVBlHp5lL26EhSFmtYpmJ/Z1Q+JGN4oQ9H6cHI1eQ7b9SPV2cT1HLw4x iBkS8iNMSSErmWHjYjUlBON5lcjLueZ9r9cXzmd2hIx5u19pSKqHUXq0EDMSOA2vY7auEjOcn2UK EqqQdJ6u5y2KJEr+nM9B1Baem8doYRkxInkx5CplM4HmSb8jPDKf7+LcySM4tbGCfD5HMJ+gjyG2 x1N84ytfkQH+2C98TMRUGVAX0spT6xoDPkmMqe5VNVqmyTgCwhVaDP9WVQK5dlU5VwUF9bOMakG9 ro7TvKuQ9iJkuYH+5lGlClXr2lgFQbQg/qp29c0WhAiHLd7H/qxJoOJWWWWPVSmFTd+Y3JlWhuHA QmoUBrzveB/DG6l3sxznp2kcasTqu9xj9+8mUFJpCievUHMz5EGA7mCINdIC4gRX3riMW9eu4p+/ 80+Y7e1JuylOO6ImcvFl+RylWPaxatK4uxbFHhJljA1EtxpBzjlyukxehuA216h25Kaw2fOrnJfV XJ+f4Dw/X0xLA+zy8E3MDGcyU/MFeIyIEAb9QKbyWZZDL8yypsowkuZgdWaqwfMSKAbK6azEZ7PQ yH2Ij0OpcMHEk1vUJoNDG2GbgU+y+RDQKtvuTaWpHXFaiQL3O6/bpUiH21GWo5PEGHSHVow8n+GN Vy7ha//fV3Dz1i089fSTOHPmjIX+LFRnRnZOcmklXSx6RYpqDl139CoX9sHXU9qwhS3xwLpESoKy kgZ0bOzapJChzcGeJQm9EcUMKQqpe24yP+2t9k0NVps41zZYOkGGeFluzpyLu33JhdJA2jHfgkV6 ON7DcdCT9ECxL16+09op65Nl2hVJWOTOWMymuHXjJjY3N7VzD0aBjBY3vvnMslIe8BUPbAqULCbW dKH6gelbaZq6LDMxrLomg5yT3rSuxEeqPDxgigxGcXBGqckU2qKwxeb/bUx8j9HpLyzydqUksZbF Qo/JytrMW6Lz0Ni8pmawLR9jn+NzaVbwa16HDJJXL/GGSQar9X53nxvIw+0ozXnCRhMY+lpHF1Tx c4zzZa+MXCjqy+ToWXZ7PZw9dw4bx48hLwvMnAadjJQrkWuTfw8bTdUEM3gufDWtRZeQcBg2DR6j LErU6HRlRyoZOhZqC4FUPSFrFFnUvSgaZ1JFnL5mwt1HLaHnUegmNjwKm0gqlyAxVLCDeVb88jGw ZZ7e7BMejgd5LLJGi6TKYqcPGhnrTppi/ciGVBBoqGbTCV67/AbWVmf6fXc4EmBf5yzCNakW4ytZ el/kS4UCMarCWM7EPoT3uAJrLmLqXTGwUmWIJpfVpd07SeOoAB7sstScGTGGwq1yoCiWHycWLVVv m7o4qV64TKIOuRDrkw3Uv00IQAZINZJWrqP75/AoT7C2e7hgtR82vBe5L0tY738GomAckCBHy5iR R0cAXoD3fC7FhXMXL2BpdQUj1gn2LMvJ99KjYuhGr2hlbb3J6t1rqFLAVa74z+fvGKp6lQj+zZfo eSNouF6qYmxtFMoIM7Hj9hRmlUk14VRwognV/RosX2bgLZ/nljCGj8NUxkkn7A2at6QPjdUDPzzx 8s4/2DfWztkPVsCsGsKGi1Y5TKKrUIiUhY2NDQz7A7z26itSstzZ3kVWFTgRJwiT1InvkVbAkqDa EQJdmlxVEabhRWXiOUtFXDpdr1BY6jwU54GZRLPzmpyXsc+7agPwzhPzGlkydI5eI6InjVYbpaHM jJM7MbqFK3J2xMjGcDh3x2ASCxHDyDyvOIn3QyHKNlpGzOgAZrTanp5e5w2U+7dFnPXdw8J94PwC H5ZIX5Fb8kt1i4YT0WBJhmbQxc1r1/QcaWT+4j/8pbzjz3zmV3Hq1KmFw+GzsMHhEthe2tx/+b+1 qUz+303kRu0xzgEZcfNijTri6gwbSN8nIu7DYLW5Iz41ue+ElM1xr6Fb6DgbzUXew2g9zPT95IyD 5Fm/q9JYdXo91EUmtYCwLMV0X1pe1te1a9cRpjHCOFVji4AEQjV0MPefQ7uuDAOTNtwk6blVyEvD rLyx0HSSTI4ru2nGvkrAA98PU0FYeFm0kCbXbAvCZFiYLWT451OpBvB7gqg3dPbdlVUrwmhUjxpp cBcBOrkbpw3nFPTa7PXFfcY9/lbv++6gn8VrXDioLwfheHFMelZVSv05w/jY8GN3NkGSW/aOxovS yF/+8peVQDl9+iyOHDkiVdo3VQNxKg70zCTrTFVbgue+EP4A2dp7WkZMtQ2AChqqaeU8kKa+M1La rJy0tvT+78Au9g/GpvxQKRc6d5GTle7jsNdvYnJjR+8f9woHHxqrB2zsI1xyLMT2PM/GPG3sF1ok iZMaUZcpAAAgAElEQVRZM1fkq9dHkVjWF6JHMZ3PMJ/PcP36VSVhllfXBdATgCJapDpFyWS5GSlb YnV6xKn0P3pWinwM/7C2J5SUoZ/jQhYuRL3I8/wc4O49oOaaDIS3DdxKWwj00ngyd1iXudjjVCQl qbUN4zQ1kE6PXYRYJQlsmEHzpTUWEhqvacEUN+O28NjEDmuRLf3QAvWJhcbg1dZFpnU+VrdonokJ M5qx8lAO77lETJUAI+5XIel2ZIhU0zifYW1jXcx4avt/5CMfEQh/9MRxdPq9JuS/QynFfbceDMzw 2f3yCRmJLjqmrc0bC5l9qVRjkEUitlpPSfroBruuO41AqG0MvPD74mHx4rl7ktlMoyU9HcakI2Oo +ivwtYGK1Z3lfCc1zR+Od3402vxO7sUbKwsxUkkFM2UuMF24RGwqpWmiXZthBXWV1J2FXCB2cHHT Thk1WkAqNghAtwYSVIKQIhU9BiOay+NRaltGwsiiyrjZWbqQ0FEb7OjG17L81p1h4aKjgMI4hoP8 mYTnoCqM6iVSq6stlJelFhX6nW8i4eWYG0Np3RRUWmJpf3c+Tj9KP0r2xX1+eSdN5mBy67AKi7pp ldeoD8uYFS2MiwY1pXwOEwkderaxDAzXZpEx7M7FdRp1OiYjFMf47d/+bXNKklSv9Z7toSOosbe7 J2NEe0CVCA4PuvP93tPyoWBjSN1coqSP2TXmkp1CRatm0bT4G8UqxB5YoxHiJPQWlUNFroMBLl26 hNdee00/nzx5UpOOLma7gFlZAp85sDt6l2LJA9d8D72oh+PHH+3U+MGwTpmjZj9ZJMbb/zYg3OoA NfFceyimv7ny8ukcGWECLmBORgmtuWcf1jh37gyOHFnHG29cwSuvvIJbt27hsSeexMb6Uekb5Wx6 4SkGda4JWoUdKQawRyLr3iYzbphUybSUdxCy/owSyqaaKRhMhZGlCrgN15Hyu/OynGcl4N2x3UVM ZCOKUGl/9h8keZT8qQiJSnF4HSTNZuQ4qQuOKRdQR4vGWU0iWIntNmYqHlgZidVG0nMwnI1ej7ur 7t47+rSKv+npSCGDygYOG1ZxSkQemGPLh3diyKIpZLlKom5cv45vfvObWN1Yx8WLF3Vf2IqLg5vH jFQFl0GdknemrlRUbyhVvuMxauqnyaB50mvKonPn2SYW6nHMZ9ZOjO/tdu13HjLi+dJ4UevOa9of BO9tTpFh4BpvsJ7R3RuC8H4c9HdiHlhKhO6g/FCP6nNi0qvi99OnT+sEVldX9W8PoPkTepgN/Okc Bwu+fdra/hZhOjew1cpdjI9keBCJgzbBqRfOr9lkrJZTFYtuZ1OxvsOO6VeJRMkwT4XzhSScLRMX ia9T9SLEBSEnmqq5AghqmgsLYR6R3XDCAB2SMuk3iB3PuWk6WV7j/Q76LA0sF6MyVWauybWykJFL 3HpkkkemJrA0dOQYOnY7s5vynprmCUbA5Vndwzdxo5JREVCdLxqx+HIZ/p5rTQbYbwJ1K2NP+xPH YrJ/8YtfxP/5h/+XjNXv/f5/I882Jz5HI+chu5actWVdjeTdrle0AmyrOBDM4xJqHoyTfHKWyWDl BbGv4T5tu7bGnbcN9zfRPB3l3pm6mLo/ZKPyZrP/GHuWcUzGM2xvb+P69eu6qSeOn5KH1RBJqSCa +fZPb+28Ho53bxxWOLu/PnIhmrf/jQfDFMtsSTVTGSEezzY4elfcCrk0lNRytoFeN0OipdUlnD/P BqA1bt3awnf/6Z/Fhj95+pSU1uXpuUJeC7cy61spEDsS6TCJyYjmnDNlS5IMG2a2w26iJEDcIb8r RjavMJtDyqSWQbMOha1LczpM9JoM4GUOQFxGp2fVro+1L1ee09KqagqYvevmmkkIOPYiK+3W3AeG 1d0a54mfkTgagH9O6sfYen1omjuqx6OBY0rCUwu4Ppnt85CNN07t5+07KZvsOPFDlwN12QKfbWQJ lIy3K6ujYVaY577oyXJ4+eRF/eMikcINw4eCd52fB+3T4ta6v++fmzEtJiedeBEO1SdORUPFRo0c DAF5M3gT/C7gd9qk87YLPjwc79A4GBLaCN9SSOkJhQSXfb2h2jY5PScjghvYTQORzTJ1YlkerWg3 H+++gK3NW1hfXRO4K+kZJ/RGNriaGIja5MQAQ6M2MKbqpiFSgsiNepzPQFkanAaLoSFrzxiOsssP tUQrstKt380hF2gZKSoVGMNioStuxzWwWCGTk8Xhlyk/0EALNXbIradNWN9GEw807M1D5wdzmFRz PdiDUwbcl7tlFvE0nktt3zyUU/O9SYyPPfdxnH30vKIgZvcm85kcDeJU7WfZPHXhQgwvc5EzPaa0 2KDcx4nOYqUzHs+kHaBMNe+P2PFqyuQJsQtDfjfC8WI4MP1N5l97xJ7cRUtJF44AKd13/szf01gR POVJNu6qS2lbnV2rGea9PvihZ/WejYPA7UHDtT9I8nl5/0+GVM4ISSNJR1Ctl45DjMv3qXPcJE9i tP59kTZAhlyj0QBPPfm4mnaSDnHzxnX0V5aEVck7oucQFk4pgbs+lT5n1l6rogfEbjCpQk3P99Eu Tg9ACysD9QBZm1YUBPMTB/DHKutpG+d9jBsHuC/KeF15D0FsKgt41VQaLBFHK4XAOgd5T7xWxy4X p0jqUMav2gfCHF4tIIPkmp1SA12f5XTMvSNB1zVzjHRf3+q9H76O5NyNE8dkVHi/iS0Jb2q6FrXm Q+s0vCRyI/vkvUqnDEsmvHoxOKFFTwQ1TTtIn52VLW2eJoc3wG9W6bI4l4UA4KJSoaUi60bcJnaR MEZglDeA/c64A3LQzZTr3ZKM0fvopheGfz0cD+a4VwLDwoJ7J0YW6pb7fQOfhapIOddiXnCZrAGm cZJqGpc5FQ1qdNMOTh0/gfFwhNtbO9i8cVMZrKTPBA6lXMx7oZoDxeE4L7lgKoadZKVSAJK6Vsx8 EUMqcxNIpoFgz0ReC1Uf+FKwlCdB7lrTW+dBM76+1ZQCOIayTrTPynCMie+NriUSaOxMytj5kQpd qfvuXEwLF921m7FymvROrsXTQdt3kXQNZlV9Iwe/uJWBbTTunQ47i5nzvCl2ZtKLryspbV1XSmBk UyswpvPBv9Nw9dza3eeteIljlSO5croW6ds/XwH8PC4xq8xrspu2nacrpEzWpZHOhcPbCB+G3tvD ohd6byb94v12LySGvbtrchP0rJi+Xl1dwpEjR+Vd8fecTOwCYnOWhsseAieJHsMh5/SQZ/XgjMOy hFZy0hJju2N4LXJnsNQPr1VI54YPE6RiIF0qC7FEJhAroEKnmyBhZx51TGGIE6CTRJgnEfZ2t9Gt C1fawfINl6vXjutayqtxqcm91LWpJNADIVcqYutpMrJE7CR8Re+fmT0auxqTqZXLmNyJpzIsht0L d41SSqUBW8j+cnFa6Od5WA7vcha5LBhuuu7EdkRhcUKGpJl14J4e5LO68hoPtVi4RdmasRwI/p6J rn63ZxLjYSRPVOVD8s6YfGCD1bTpSMVaQWZ16WXdrd2c9/yaMFDeoYXCCjeVFbVaQL7fe1bewVHP wShElx1dg0WTjnZYeb91xFa63qCChgd67KrhBwaLkPDGjevY2dkV6H78+HEcPXoE3W4Pe3v8HUNB i8mtbTTja0urMu5vHsVDnap3f+wTgnqLQyl+18jUQa0+TLLvZsh8CYzVwRkIrt3ZtWXnGvTde5Ub I8al9upWdsNQMCd/id1PqG4aJuiOVlBHKeooxubmTXToWnUzA3dZIkPPTRgQW3uxyS6VHUIHTtMI siEqOxaTtGrZNWYctaDID1RZTIXctX1vOAX+uh2xVNJKUsm0TCBf79VLfZFzl8XAXLjKUDq9JjZp kMpAhJlLbvkQkMI5TD6oApL36MDO3fgLssvW61Dpx9zEAfl9Mhkr0qHOWH84wNmzJU6dOKkwmsbY NgiGW6SakBlu104ZZCbL9sY7ut/s5CxPR+dAJr6VN1mzCye+53hqtpmZdDmznD7knkxm8p5oG0hl 8d23lVF1CqVsduqB/3art3b4eu95aOG4eZ3OafX2xLYQS+jQYP3gxR+oVRBvxpFjG1hb29AkmM6n 6PY7LhtkAKqxiem6ewtK4tl7o1P1tizaQxneP1nnT69gf7cZN9xmYliExwoaYMr4Va4tllpacUel 3pCkgSxc4IShDIwasbI3IGtHGaqRjxMl1kCTGT2V0/jmodzU2PiAnxHKgGSzuUIZhSsuBCr7A3SD CMvjGerxFEyA949uIEq72MsL5ASDk47OkVmpihgK26oHFIRUMzLrV8ewI+XvrYBZ/SylU27TvNPp Yprb+XGRRyyuVg8E8xBYhiMtdDHoFT+gqAswVy6eU16qNVnqd31Ru1g3SZOUm5CgjJvLLNKrksG1 DCR10zfW1nHr1iayWa5aS3qDjFy4+KkQOqVOVdKRoZ/sTXW8629cxb//w3+n7kR/8Ad/gF5/pKw9 ox7ex+29XSwvjzCdj2W0prOxNoz+oKvv5LFx8HPUOZq8Nun1mx69dSJiCZQRbqM6aYyLQkC1BgOW hksLvXpheMYzo9fLxEtG3WpuV/SgaRPYLqzhXFmn7nvNfdEq2hum66MqAR7eThV2O5KsMd0rZRZ4 I6hemKbkVjnt5czwKhvVXb4/1Kl6L8ehxmofb8r9u8EDnIStS9Nbh2QiNCQYqMGVFeBqy6M8slPr kAa3dZYRQ1lREyemr6/jcEkYOgqldWcuZgx1QiDu6BxmToiO+t/04peHI8x3Ssync+zd3kI3WELM zLPE8mhk2MmF5xs7j8S8AAO8KxazNQhRLH0qM74N5ubKdaiZxWHJA0d08J1xWgJ/xKuo0yXdL4fz WELSvCvJ2jh+lnkvblEpSbDoNmQaWBCBkgZgebQEjIBibp5HL+3xJpmeHKka9EJp8JV57+DMmXN4 7uO/iOW1VRw/eUoGoUIo8FtAe1ljbzxFnHiwer9/7L/7+UEjZdQUDw+47jkqtSLL3GSM93ZnmE7n iqyIXS+65xhGaXiXjngnB+GtjgOigHf/7joo8Rkz9ckvGquGpNYSzn84HuzRBjU94Y9D6XY/rRwA rNc4YNXjMbbYHPvbNwfxyRqXaGljE5zcZggd87ul4+SLWtskU49/CCBWTaphIl46u7M8Eg9wvLON 29u76IU1BqvLqnfjtdCL4mKiN0TXg9iNFGwJkLNNlS7TyTzL2Ii16UK+9qDRMlY6i48NA6K3Qc6X LT4vDyNPiz8TTFeHZNv6m0LjVsmM6BiO1KB+hfJajenOLCnv33Q8wbA/FFC/c3tsjU4TYJcdtTtd 5CS4qviXAHqJThzizJlT+PQv/2fyMkkp8hlD6F4k6PUGCj899+tuo9PptZ6r8yqb86fSaYJsnqmb jnWlZhjn+jC4zUmqFc5g+dIj25jeRN3gHRjx+vp6QwjlZPI0B4/6P6wFfLDHQVVKjkaOxV7RvM5K qdqv23+sRTbwQFap9VmL3y2AfHPAFrwbP2eaUgunleTryDwYm9Uxup0U3aUldOoKs71t7O1OJIPS VziZyChJkVIuEZVBrAaRvhZLS4zgSH114k9kvKsflDwldYRmdxzvWQkYZ52rg7XUFJWLlkx34lbM OLoGKY5/tehE63AgGXzDXKSW2ZKd0a8alQHzDEjDkMfq2tQzkqHBGo+n1sTUdd5WI1KGXInJ2fQH A5xj95uiVAaQ197psSkqlVtzlQYpFeGLLe8x2gKc7XM1jwvyqng+XPPD4Ui9JWkgWf9JSpMZK3pW i0Ls5nhvwuN7s/FWy/Biun0eJCPO0M5UvJl418Px3g/PuvaGgwvYZ3OVHXLyP96BbxsjKXx6avod BskmU9ND0qlJmra288AZxsj47F+0B0mEfsF4ENa/ltrhc2qnD7oYxqvIAqtr293es74Ag4EwL4aU RkolkkoviXQAE2+Wc+Jpm+519CQqAvAE81vVIQoLndqohYo8Vma2kEkl4WDMWVmDCGv26cmTviWX 87Z0CBq51l11kTTDR9PvcsTSssZ0PpdIXTdJ8a1//Caef/55fODpp/Hoo+dRkTArDfkYSdRVGDyj lnwcqs3VlMXIrPsLY2xv3lItIA3JaGBVKfca/r4vVDcWnCviTdbNhxUuXXQ7XVW68DHPZiYXxM9p zwe7zIUH3VJBf1dGU/zcbsnVNmC+2PHh+MkpvWlGSyHAGzSfrvdhYnGgXZnXfPKpfu8dVXdQI7hY HVH0HgXWDd7kvCqfFrc/Fpix1VcSoRMNsMR28FQZnU8x2x0jrgMsrSw3OvLsA6j2pq6DMw9jzU8L Zfq8MyQiK3lXUmtQ/5sDN8YMhLTXgwoJQx6x2XkMZ6yYMXSG2O6a5VK9kJwnWbLuUbk+R2swjpaz ifKyAswnpnqQdiIRs//kT/4E/+Ev/xK/8zu/jbOPnBIXTXEoO/dQgIAkUdIc6MHFqb6TwJrnBXbG ezIkvI8k4jKcplfXKKoe+K47EbeycZKhYA+GAEFMWgYwGq5iaWQbExtP7O3tWNfuRgvPh/m+59BC Lv3tmr/3O+K2qqjnWvgd8SGO9eAP86jaWIJlg5paX7VT9yGB67mnSgVL3fvfm+a4xy7dxLxbRyNX 98f/mUGz1/id3PN+FhP+TpUI/Z7ESoSYUpqG3Xr6A6yUFXa3KhRZhunuHgadrnkXiZXPkEulch4u RnYFbigCjm9EjS19iNdN9xgP6QtGeHR3TguXDSfIgye/SWcjD8zJ2DgGl91eR/r06gsC3U2zyxZy OwllFos4H+GWclYIwGb2bIY5zj/yCD7wgQ+oAS2NVafXafX8c8F8GKi7zjw3zE9lOpWRSnnDx5Op iKHszLNQVsUh35nBs1pAK4VxvQe9emqSmngiQ9ZijtmUsFAp1sBg0HOY1ULS2S7wTm/83Rpiurcx h3a3ZoLwD5tIPNhjP17UaituULQ1LRVuZCB5U6rR2j3vDAk5D+oD2Mei3kyf0QoZrWTHXusJkP61 Xg+pXUS8CA2lXyJaTVKVWO71MBguoZxn2Nti88+pau0oLpegiyDhwmuB/FrcVijtiAVGsVC2j0aV ulqus7D2ZiMuqEMLQXnVBdK7oq44bQRT6TREi/o/j7PXxMY0COo7io+asraT8nZP5I06VdXtzW31 5GNoR1oC8avPfvazeO6557BxdB1BGqI7HMiYZZMpSiezwr6MUvOcmaYUS4CSusZg1MfeeIydnW15 gefOnDg0O+i/k9Zg5T2eirRQDGbj90G/q16GDMXVN5CNKPojDIY9GSzT3vfzxM0r3X8HNZTvQUjo x8Gd8KGxeufHQcyo/f1+hhkHW6CmZuk0x+WFkGe0KNw97L3asATrLLqk+A7GTfcSlyHzO7292XWj aWUGF12OF4W03nv3n9f2wOga8Vy7wz7CvFJ34g4CjKg1DmBnexvzCcUBScBkIohM+MgIpOCGGqs4 GsXc8QVjVOQDScGBFAqqO9AjY8bRGOkE12mclCWsZlgZ9ZBGE+sPWFtbqcbJpCqEtbSRwdL5CwD3 zTMi5JMKy0tLqhLx0kw0OjyEF7tke3h6LivLa+JH8R4cP37UaAxBgL3JWFlF6k2Zbr1tPlJxpTYV i7kd/SJJIqyuLQNblaSfiGMtjQYyhH4z8F6tnQ9DcHrBlrHMMqsBlXxU2pVBI+fq5s2bMqgbG+uS kmJ1wu3bm05F1M/TRcJlkaB5Z0Gsg2vhodTCAzJ+JEyAEsJaXTaZ9oHcAtQXQOudw0Bzr7DgS04W 57K/jMcbm+bdzuM62P6t/Z2jLS/SDhGVdWItak1Wp9XgiUXP18UJkk4X3V6GvZ0xQhJJgwBL9Nb6 9NhCzFh6Mp2gmzCo9N2KCYxHKEqSSgMrgqaXxSao8gjMgJN1RPtN+qngIwLeyhbyLJhpdG3AfOkR 39ECrIWB8brLGqPRsnAfGgMajStXruB73/seeil17YcSvJTcCwUvnTCexBDFTO9hXEzNO7yz6qlR M2iwxzBAwtA5DTHodUVM5efNZ8tSaJBue8vLpfHi7w4WJTd1ggWN3o48LL5vfX1NZUAU1pvP2Y7N dxqy4vD2vHuvxkOD9QCMw5QU7neYpv5iAikEFJ5tkzJyO2Sj0d58hoUNFvoZkNowmg+sHA/Ye+B1 0TfOe+H70+Vtw3kwU+h/542dmgw4hrolPE3dO+720Aus87T65k0zBHtTjJIeom4XHbY/r2rMi5my b8yGIiBbvIOsTjDLgSn1syhnqpIfJ3gHguQFulGNbky5GldmIkkYA+4XT8A6TjOd7xUN7FpcxpIe nCtI5rXQeHz+83+mDODHP/5xfOITvyAeFdnqxLDIMp+N94ym0GryuvjABbF3cQZ+M6FBtvvD9u9s 1NpNY1ybMYw00J28qWnOhhBmPHtd065rQU86BjlspFjMq7EUYGezOfr9Ho4dPyIgnyEsy23YS9A8 6gdH5vyhwXpAjdVBr+Vuw4xHOxPo8SSHMR34rLY51FxW6Y50DloA+eJ4fvBv1tLJF6Uu9LH24Uot j2wRNuwPB/2/mytzPCf6SlQcFdTNbHWnj+FahHp3F7vjCfLtMcqwgz5LdDqUUR4gr0JQSUbNVGvy h2isQn3NC/pe1iiDXhMNRlROEca1yJmDLguoWW7kgGR98gGxHV0P8TArNVKXF5XfmJHdurUpUUEC 1ew2w/o/GrFjx47hyJFjLjR2UiwsrnbqCMx45tOpugi1dG4OfcbNHAjoBbJjcoC4l0rYcG8wUDjK e8uyH2ta2pVnK7UGFyr640gBI8/1N4aC84x8sBjDUV/GipUu84zwgNfIP8xYtT2sd9eYPTRYP+Fe ljcwCoy8frnvatxiQZse6H6MzL93Pz6xPyRsAPSmUeaiQLZJc9+lSYJv+eSNWPt7g5HRQ1N2zwYz mux9SIxJFJt+HwkVbLIa87xAvTdFGSToFoE6BgeDEUoZJIZbAfI5MCtCzKuUGroGyCm0Yip/BmCK OGQWLEI/ZW0hvSpP+TBvcdH/zzP7fVdjGji+zvSuWE3IcPDmjVsyWCxx+8xnPqPreubDH0GSmuEg CE+cqiioHRUoicBM3SwvJHqDFgVCP1tNkH7WU9vX8iswtQi6gnEgI0XS587Ons6TGCIb2Xa7fZQl Qz07oo7lPETifTRWpEdQj92kz0fipVHxgVw0NjZiaLhfSKttqNqyL++e0XposN7jcRhLvf3zm3lY Hlc6OGUOvq9tpNqf0dBYpMixaL/efo9l5BaGbcHV8rv2fr5XO7voQeCDyQV/3gxtfJ0jXyGuFaV/ hdV07Xt/gFGYIp2z2J54FLNnBWZ1gG46gkrwyxBFRhZ4jbyIUdSJAHj5cfo/1UVydMIMnSRHGlMO OUKg4l8VCzqD0Oqj5Rt+lmqk7sBmhrLsOGOdjX3fPwLb586dw8WLj+v36xtHWx5lhaBgAsJlAONI NdKBk2naHxLeOaSy4NjylX5hOxIxO+Jk1G+nx/T9738f3/jGN+Td/eqv/ioeeeQReV/+GS5KdBbd j+hVLa+M0BOLnteTSSHD2vuZmKC7E63vBzppv4vjocH6CfeypJKgee7xIg/E+115fxccC7gWx6da 5+J1+z/fZxH3h3PeiLHWzDJn+8t09n/5zNl++V1XnlOS92ShIblCVt4XoSToTUNBg0Iyc5yiH3WR djwAHmE+zVQwne3WKFjzJsUIZuho9NjvkFnBROx24lMkhXYjoBcDvaREEhF3opQN6/+tDEd6WQ5P M4yJ5+T5ZO6+0lhlBca7ExkJ6kaRTxW60hmWtZAvtbs71t9ffvVlHDt2RJ4QW23R0yPoznpGel4i WjTF160Q3H2XsgI9Uk9WrU0uWr4XMb4sEz7Ge8xWXV//+tclvvmhD30IZ8+ebTozt58hnynrh3u9 jmmVqVkqKS9UceAGY9yzBeXlLpum7s+7y2t4aLD8LnFfmY/DXnMfu8whDORmaI76f1sIdzdj5fI8 reMSC/FtvL33s/BWms8WudJPdv83XwPopgBLT0QoNBDc8C621YoaQqi8JXViYcdvCxPzyte+LLqt qImDSy5RDTRilk6hobGb7HWWiaPWlJXsJdLHYi9CSsZUQQdJ3LcOOPxsxaCVNWkQIZRtvnJkO7tS gmB/RHmBFVEeLnLSG3JlSpkBTMMK/SRHv1MLcI9JFRA3zTcY9SU3hlUtvBIuyNj0r/RsSmBeYT6e Ybw7RjLq4/iZk2KhzyZz9OMuesMRrl2+IuPxla/+PZ599hl89GPPyHCZbj0lbUqx9dUWrXn+bR6V u6uN6oT9xzxbR19BhE53gOksUwhID+8Tn/iUCqf5M0M+3zTGP0MO35mZl8mwzzTFLDFBNQ6r+fTE 8Xt4+O9LD+s9uOj2OIzZbQv7oCuMuzw89/57XofJY+z7bp/UtDa3fxlOof/p98YB8kbMsOm2Ljnr yzh5XcNQV+NmE9NQlk6SWgOBZsIaaVNeT9AlhQkFFy2PQXa1Mm6kCfhrsgJXtYQKYoRklzMc4bGK ElFKqWQWHpM5H6nYmMYl4SJPUisTZnFvWao+rqjYwqtCnLKuLkI0BxJ2bmJD1oolLl2EXWoldzFB IkG6bDaR/haLo5f7LCbOcPXVV3Bs4whmu9dx9Ohx7GZjTIpMHaf3pEGe4ej6MRnDinV5+UQe1oBU Cko2B8DSaBn53NRUJ7NMBcUExuntEdchoM5ehZSWIp2ATHh6dtPNHUxv7krH6szjjyKP2WMvwIxt y/IMgx41rjJMZnNcfu11PPnYRUcozVVCxMZUfKyUji7qmSRzPKPcUCtDJY2YawaHG1Ptut6YYKIr rcpZYN3BzZubegYfffZjOHnyuH7HTHFRW/MIP7fJ86UxoqwNw784ZXWLy+TK6bUCdc/dWkw2/7PL bDae1UPQ/V0ebX2vexHhPEmp7eHcz8O6m45YK3nOMKFp/uBDrHZFvaku+va3jRifmpWa+27kUZx8 p+IAACAASURBVFfz1VTTW7re2odbVxivj2SqA9TkJ8nS+E+MjqhhRUa5UQ2MGc20P+v6VLfHYzj6 Nz+LoDNXURw6VUqeJtuSuzCLMRrBcXGhiOTKOBq8nZVMxRvhNa9psEJMihizkrIyrjhZ7ey7GM/G mM/m8o6WBgn6gxTXLl9CtrWLjV6Cbhphmk1Q5wGW+107dr2LfDLDcNBDv99FWcwQlTlGvR4mswqv vPIa4sj6ctKA90c9EShn8wkunDtrLbOSFPkkw2Q8Bnu1zvfmuHX9hgzzY48+Lg+QuvNxnIrwGjIs LUvxoshmP7qxjgsXzuLMyRNAXCpxILlxNthQb0MTx1Tz0APt6vfPPqso4LMnRzbymmYtushgMNJ1 0NiqzRcNqKOgWJdqE1hcSAVxs7LXNHORm4eSNy2dsLvOabwPPawHYvgsEYeBz016u/m9xxne6sNq 70ztsQC3Zay8jlVjrML9pTfNGflJ7SVkSldx0jqGQHSGUmRJ0/XnJLVdnOCxipELFhpHmBaRJIwV NqifROBUWBxbOoMA6i67MFO5kpiS+hCyYJ72KGrq3qRWJcWDEmVAraYIFSVUSNoMWbNmroXOjZ4Y gL05ewbYYi1qCtNB/CpiPMxWTca7WB70pHDZWxphNIgxSIHbcYhvfet5/MMX/xaf/qVfxsbpE7hB gLmXWieeMJY4HY3RqN9DEobYvHVNYeTFx87LgP3gBy/ixvVNcZGI6Tzy6FnhQHwKx9bXsLZ6Bjeu XccgJYm1px6BL/3wEv7fv/4rjHrL+DePP4JOb4CJiK25dOuZ9WSdH4mhZ0+fwJmTRyQZw5s6y00N he4dDUOHIgNW+eKMQ9vdDvdx01T7hwVwzuQEDxWFFCqgRHKA1VXryM6SGm0crs5Uksiat4syLtPF 6iCfmAfmG1Foxvryq/tI+rzb431usKwY9CBuwLEAiBev9TQ+94o7GcBvebjmoW3ekwsFfVjqhfg8 LtWgHU2LLgOJpd8UenoD1StFBUUd9kxGmBhRxep8K68h5kJSZREklBE3D06XaCGStKLIccq5e1u5 jyRYJFBqWApfRpxJZ8ySFp4vCpTI5DWwho9elRRISbJUY4gYecVzocEKMGVIpsVkHiOBbwuRyEhn OBagx+7QWWiF0LWVknS6qbTMb92+he2dTawUG8oEkpjJ47E9O40rj7m9PZeRvXXjhtpSnT13WiA4 OUoXzp+3JyktLRPgU4FxzR6Ke3rNbDrDza2bCrFeee1V/P3X/kHX+sjTT+BTv/ErqCSAlwMdwvxU iWAnbFIEasnjzKYE5635hkBw3kF6oJHpsd8LJjrMaFROaof3VUbPMdrJTFeShPqxJJMGxnpfGCqv W9ZW5aCntwDmD3LpHrTxPjdY7dE2RFiYhvZk2ff8WvyT+/K6DnevTTrFGytnuEjm1KwyvSpTR3BH aSlcksRtlE/Dt/Q7Tj5m2FSwEmBWUuSO9YL0rNS4BmXJVH1iDSjiBDkndhOpRiY4p1K6DFGYogzI ii4RkiSKUmRLZfdChokdE61zihA0sAquY2PZUwpmXlAuhbWCNYqc5FAahI7Ov0w6yClaRfdO5TE0 GjwuwfIaR46uiSt1e2eM2+MZZnu31VD1xPEjeO4Tz+HkxgZOnzqB/tKy5JxJICINguJ/ZLjzSop8 rgVdkgU+m8pgjQZD6bWfPnEaTz72uBUoDwe4fXtLC35jfb2RWPm7v/sK/u7L/wknjx3HY48+hl/4 1CcxG8+wvLKC27f3lCigjhXDaXp1UjngfWDNo/o35myxLoyMgxr5zBD6RhRKhBxammOdj4324f5N 79Rl7rSZMRxPDJP0dYq5VF3JyYp0XfSmpMRCuoJTDDWYc6HI0q5AeJDH+95g+bT8wQd1p4d1wDA5 yZEfebhsoXkzLnvoqQHOKFm3KSMterUEr3rpU+0Mr1QFxwZ1NY2TsdFluKpQuzwzUlzL+puAbce+ dpl7ejXmK9JcsNLOAtCgThHE/NtcqghFTdCcmUPTLeerCcbTA1PLK6caxVUr7yZOkeWB8KRpFiDL WCpD75HwNRVBzUsrgtjInKQGsAVYBKRsClEXKGd7BlZXNDZ7yPIZkrSHuNvF0z/3ITz9xOPYvnUT t7a2kBK/WVrC0uoKwrSjc6V6KXE2pu/VuTybq2UWr39jdU3UA6ru8urpWY0GfZUCMWTLsjGuXr2K 77/4Q7x06WVJxZx/9AJ+7pkPCXw/fvoMrt7axmh5CR0225iPMZlN0UlCpCxSVChGTStnCFwZVFAx 30ghnAgZsqYP4mEWq024rZ3XbNPHSpgoCaMsqzoxe4a6SRp7XTO+ZdGd2VQ79HuGlAdoDw+60Xrf G6zDXO/9D+wuRunNnumb0iQWjHQ7ngsDHRZlWUHXFMJhTz4z5DENtsKqQ8oDWecbcrKKkt4YDRY/ PxKRkuC6DJjALvotzBASezKszjw1ez17AxpewlOklWPI4huLckI7RQPXpUatr8h5UkuvGAWpFmQg FDzvFNNZiXkRYV7EKOlZkW5AqWNVt7CAmETFCikbNkQBuhElXnJgPkGeTbF54xpWlwdYXRpilgQI VpfQ6fcwySwsJNDPXoQJS0pmGaY7W6IgjJZWhOOkcYwiDNS5J59nCvkm9UTdgAa9oXhMBNZv3rwu o6sQcDLBjWvXsLu7Kx7Yz33wGZx/5KKykmtHj6DX6SLtsqyFNXsDlHmF7ck2ppNdlNUUvU6MXidl 39dFRlbPlEKD9HQ61q5LXpYpnlrX7BadwcEPJs5nfRE56L96o0KjpIyeo180Ion0tNQBe6afGSpa JtAL8ZmoodfA85QHb7AeZB2897nBapcV3IMgd+jw73srDze8y+d78qaT9TEqpdNfcwoGkjlxeuXE imRUWX7SNW+FCrHswkIwXZun4xfp/cy0GfgtXMw1g+F74qRd+mE0Ct0JhSv0yIzESXa2pFkYesih MnUDemnKQxJUJ49K4R93/hp1nmCexcgLen48diraBA0fOzJHVY6lYSJqh0T02FQhnyLb3cLu9qZo DAHD0GGM5cER4Wq90RKGoxFev/wGdidz7Fx7A8udGEfXN7Bzexu3rt9UF5punAgoD6sSg25PssLy uMjsz0qMp5R+McIpO1B/+4Vva/FefPwxzKZz3Lq5ib3xLoZLyzh//oKatDSeThyi3x3JW+0EHVy9 ch3Xb1xGWbE7TgcBi44l18OwjZywjjYI3ko1PqUETsX7MheO5SkCvoWhnG5fASB80f5ROU+sqd0U DUWiQo3RoTfH68iqTJ4lw1OvGrvonmMF3TJ4EnG8UzH2QR3x+11vagEdtQ3WwtOy3Wj/sfZ7YP5Y C8KnAeb7f9+UaDS7o9OLYh83R6aUvra8HNshmQmazwjWJgptWKRKzpUwK/69jrG5U6BQRxzDqjia 0EwmxRjRDDOFLvlkoq6bq6BwBdI0gibvKxPq7LFv9FnnrDErERObEsDOc5hjPC8QRpR8GYqlXtQ9 GVYKzs1n5GQFzvNjeMQuzlNJ9vbSQGFgN5ihEwe4ceWyMc3LOf7sc3+E1y+9iH/5G7+OJ598Eqvr yyaBHIYyJjTQswJ46TvfwyDM0N1YsXCSrenHU7z4ne9i89R1fPDDz6A3oEY6sFPMFaYy7CO1QM+B 3KlijpdeeQl/9Ed/pIzib/3WvxZDnJ4TpVaWl1clD4OmSWiosC8rciyN1jDemckLopxMECbo9BMB /mrmCjL9SxQlr5GNJ+Z4+Qf/hPX1Y3j6yZ9VdnKwnMj7U7NSMeGJh9lz3FFXHYav1DlMsLV9G91O H7vbu9Ja7w972HOlN2wX36G8cp67chzSHKxbtBFHrc9gM6/pWZNTF/nW88aaN+7XomnIos3fgzF+ 6g2WH3fbOXxfPvuH74zbJpLeX3Hnm+1MB0l4AtZb2T+FevRCWO4i40H3PVG7K+JK6vRLjyc3yWNO trIkbtRFTSPhOjQb18aRTO2DbRfVz9yrfaLArksNF9w1iq7gwha7N+KZC0xTG3fxGAj0ukJCTqCU /QOJR/Ga2AWY4V8HGev5cl6jlX0kUY4wypDGOZK4RJqwXrAAz7zOZqgmN7A32UMxm6KabiEoZrh5 7TXETz6GLjN+SYRh2Mc4L7E7mUq2ZXl1HXGxq/BwbbCC3iDFPz//bfy7P/y/8dGPfhTnz5w1Ubxe ahLM3a6SGJSBKecFTp8+KYss7XQ2gHB9DYhVrfd74jOp0Qb1oYrceaSJ2sKTRU599s0bO0gjcrCG iDsh0k6oUNA0swp0eon+zg7K3/rWt/D5z/0plpbW8Pv/9X+Lc+fPoSonyuT5jYxlP7y/xNlGvT7S hKTQm6h6XSz1BhjRgNKTrSpcfe0KhstDh0vZc/Wdie4XhvKvbWcHfX+HBzE0jN/XNXoqcVjsIAp/ WpwoG+30zX4PzMb+Grs2DrH4PHWsa/3OJIitV57BqKah6TTCZXyshVXSGchLYQlJXgC52j5Z8wCq GtToKJgysN6Qet8BeSG+5hMEFlLYKeZNKyrzpvhTeUgpkREcufgs7PCiAepsII8jQ4KijC0UzKhD zhC1I16VcJIwQhLXSBMy7+dIYn7lCgHTslL2brVbA1Q3CAfo/vIn5UnR0zlydB29TgevX7+F8SzH 5t4E86LEmfMXVDOXBht48YXnsfnaNRwbrqjm8ENPfAAffOxJlJM55rtjpOw+w/AwjnHl8jV86Utf wss/eAkXL17A6fNnsH50Hf/i138DS4MhnnziZ5z0L6kJtOtk8McqRaLhYphFoigN1t7eBLNJgeHG EaxurOpe1MiV+bVyF1drGVEtlXV7PXlf9OSms4nwpb2xaaizRMo7M8qU8r/iqxXopinSIMFkd4KY pUdVhVFviHCpFslXnqkmlhke3+iDZNZFhHCwIbLNa79peo/fCwB6RY0Hrc1f/H41Vj5saxfkCjdq pEZsWDsr949D+r/defz28TwLvf0Oa1rQqBm4CWVMcIczCCBXRRxAQL0OZaQoZscvAuucR1WVWMt5 0ypunZSRX61Ux1Ug7jt1ox4I0ndGy0JIX1TrPCupXJoxdrlUyd/Ftckg07OqghhlRa8qwiwLyMsU 38rOyfhU9Di6qX116F2FTPNPRFfodym4F2F9bahlymzb0aNHdd+o1rCzO8W82JMccKc/Uqfo8TxD n7QFGFv9b77wZUyv3sRnfv45HFs/iuGzH1UoOaPkShohYfp+nmFaF7h27brIoTev38D6+ioeefJR HDtxHGfPnZfuOttcjXd2VdqSJl3s7O2anHDcwe4kw62tGzJYlJZhmLW6uoTBUk8UApYo8bmEUurk fSml5rmV7wiYunDhIn7ns/+V5t0jF85hOh0r1PRt9Tgn1AwjinDtylVpa7HNPa+lzEq88sOXVCM4 Gg5liAtpxVMWxtVb0siSM+eAfvOYDkYI7X871dmWgkO7kci7kS18s884GLn81BusNzVcip08pYDe BH9yO6MnNDag+AGuVovWcG/DpZ+sfEbZIl8faACoP6ThV0wtmWAvx5TdeFkSQpKnSlZYIGyidMpV 6+3t/pFtj+qgjV1oGJlKAPaD/nI6vfGyYxDXoudHL45hH3dzYmQBPYigFqielfSqqA7KbKW7d6HL KIJlK9SfKtBLMiRBhqSeIiimMphTtbQqURGjY+Etr40Cd7k1+LzOGrkgwtbtHayECVbW1rG6soRB SnWCXbz22ht47fWrCLb3sLc9xusvfBevfO/7WB8t4wMfeQa3yymy8VQ6T9e3biGbF3jqySdx5shJ PPH0Ezh+4aSaQJBXxf5/RUQNr1TFxNPpTIZrPp8J32GjBuqeU9qZoVjYSbGyxMajwDwbK1pmaBmx t2CVC+diCdD25g7ybIZTJ07iiSeeQCeN5c1tbt20xEBk0sn03lgzWRUV/umF7+D/+dzncGT9KH7z N38Tl158CV/+4pfwe7/3+/jYRz6qhd5dW8c420MuVrsVOJuhMcjBZG9cR537SBRJj76VMXwQAfj4 /a035ZuO+mHAe2Nw5Fa01RX8gl9k1ZSqPvT4LRC+was8s94djW63K5mhkRJ3iSCpikuNdDmez0HS Mkts6N0o0ycaQWL1ZHTf5VHdnUdmhsmVXTQ212oM/dWIFe8u2bokO4JquCgbYYP3nExuloYI2wEm zALWsagMuadT8P8hFwu9WCpaAklUIgkzxPUcYTlHVM11rVlQi4elzhBBilleYm93T5iPhc6moHni JMttKA2TSMPp9uYmrl15A4P+EL/86V/FUhXi6ZNnkV++hcnKJk5sHEc3SvDNr34F1TDBkfPnkBc5 er0+zp09K8WFE6eOYzPfkb+Z9roCzvO58ZOYvSOtgQueWBVvHL0oGrD+qIPVlVUUJY9nXZLpWRE0 j1NTmGD4zlCeQPzy6gaqIke3P0AdkYuWyUNL2d6LfDbVeS7CZxFY6hqzyRR//Y3/iEdOncH1q9fw 2suXcOn7P0RU1sLkLjz1BLJugLqzv6zGNwIR34rQwx3zt9UBh9URLToDw0kC9406xzvsZT30sN6i l+UlV9zda3+7B83h4I5lBu4wz2qRMfTEPNeFhCiFtKisYaaY7dY0WIztGbvIsJkCwz/6KfJuGP4x FEosbJT3Q54UfZ5Fqy9NvkY2uX0NxEUWEsc8f/FNPYuazHP3s5OKc8RDOwey7CPhKvSwSKEIMc/7 ylbSL1N2UsaOnhlbqJOAydbMXJRkemWI6lyE0ITHqQOkVAxlTeOcIVaF3ekcl167KrxmbWUda6ur WFk/gpMnjuHF734X1y+/gfDoEdx441Xsbt3GYO0onn78A1itQowQYfLUZWFZ6yvr+PY/fhuf+/d/ hNHpY/iXv/tvcPT0SfS6A5w+dQrVtEBn0MOQrd95bhV7HtYyUjQa/Q4VOyt84QtfxN7eLs6dP4sn n3wc/dEQaS9SYfQ8MxyKNsHX4hHb2rq9h8mM4neUcelgfX1JTHfys4psgnw2RQ2r/2MjCIaYVIhQ eQ3D4iTFU08+jX/1r/5LfHn0BTx+8TF84mO/gJ//0EewsrSML33xS7j00su4+IGn8Cu//ZsIB11l Mmls+H2BR5UH5vdBw2U/eYPlmyi3W7apTOkBGj/5HtZbVU9wMbvvY0cvoZHMdhXxC1qDdXOR/+HF zJowkcO72w77aSksGE/KOE++zbp64fmGDdIJaXXTrYl5UDkhwJRf8wCTgjm9jjNUxkL3jT2txpBV /q16Rp9AMFK1HZfOm+6R7ycYNWGiGUnfvt1fp3uPu0KBrjx3cr3Iimd/PokwEEujQU2kXWVt38nZ 4o7OTGOGoJoiCOem0a5UlBXh1iGZ7qUKoifbE8wZblJ+OGVmLhZzfDhcwlOPP4F8NkddFHjpe9/D //q//M+4fOkSfu0//xWcOXUCTzz6GEYbx1S/9+Lz38aNl1/DX//xn+DWlStghfRwfRVht48o7eH4 iTM4c/ashPUY3s0ZJpZTREtdZJOJbgPxseGwq2vd2bmNb73wLfzxH38Ow6UB1o+sGReL8jT5zMk6 u8wuqRtsKzad4uq1W3j99csKc0mJoBoo6wozihVKX8z02MnlUmeahMA4cXnWPsaiOLA34qlHzmLt yAY++alPqYaSnuFjTz2ujGH25b9G1QmQDDu4cuM60mkfw8FABo9lVYnbtKo8a3UtYuZ4UY2qzLFv 0+ZmbtwC332I6Q2Wt3lN9tkNKlgsyvjvfx36efZW24T9ZBssGoCmyv1A6Odumt89moXuVrIxvVPV gZXUBxeZjhkWThyPCRActuPTUVe2T0WnPlVmLG8ZNlfzxTQ+QzgrUA2kN6SiXhYcE5ih3hJ5NeQE xZHVq5H5zUr/qotZRbJlgCnpCwSveY4+PJOsiBNho+FVyUUqg8aJarIy7gb4JhROk3yBw5F1rTug QmXUXHzUabKJahD+IlPKc9N3Xk9VYj539AiV18RKDLgya2tEKsA+V/AYVrmE81LP9QlrZHNyzGgY IyQ18LUv/h3+9ktfwbMffw6f+MwvKU/56LljSNIOBl1gdzbF+uoynv/BC5htkhQ6Qaeq8XNPPYXl 0RDznRv4wl//Df73/+3/wJnT54ClGL30KIaPnVUm8X987n9Se/fR2hK++rXn8Rd/9qd4+qkn8a9/ 679Alk/YmhB951XMpntIYvY+BKazKS48fhYXHjujGsNHLp41hv1kYhtbFWDQXcbO1g7iuINOGOHK G5fw+c99Dl/7+lfxzDPP4LO/+7tY6fHVc1EhgqjUgqcXTc2uoNPFdEKy6ZKMKL0z33iW3YDKpEYY d9BdXcHuzq4UIZYfOY7P/vf/HW7euiGl03lZ4uatW7h89Q3tEyc2jqJYWsXtG7fw6qWXcPn1N1To /dwvfhwnTp/E9ZvX0B30JYv86uU3kC6NJP9DUjA9PT1r1h5yc2RYms1VusROPze2NoXfdfs9cQSJ A/S5MiRAsTCElv1uVmIzd+27/UHbvKk+LzDTQ0f4U2SwNO4dY3vimxkspyHlPCCrz1P7X+kKqWjY 1/G5Li45FxcNEo2Z690ngqd7QFKO9FiYuFJWuGy9ARcMYjHI1YrKSlpsF/PdhW27y0SypIonjQE9 F9OsMjWZNohu3prY6lJoUFvQRu3ByjVwoBP0gqrAsM92OC8o6OSJD5k4TZdgD+updMjfUxaomXwJ OVVU+AyrDGFoBisOKywPWQg8U+v5KLEGDHE3Fcs735vj1R9ewtWXX8XlEyfU7Xm0sYoqCZBnY+zM 9tCPEwT5FCc2VvEb/+IzEp574rGLOp/N69ewc/0Ktm9exqAX4vT5E3j0qZ9FOlzCB577ecQrKyip xjmb4ub1q/j2N7+N73/3+1hfXsL21m0srw2lByVTLxa53R96QWxxtbQ0wL/9H/6tazB6VB1meG8p RUMDs7W1jX46wO7ODnZ3d4Srbayt4MM/90F88Oknceo4u9hw02HgXoqSkqt5aqjibG6OvUEHsyzH bEZuWSxjwX6LnD9sEJHlObbGuzIIQTfCjNy1tRGODlLEnY4UJZbXVrE0GiGuIwziHuq8wHwyxXR3 ij/93OexcWRN5URHNtbR7w5UHM0ypbWVFcypGKG57V0obkwLnS16WLc3tzCvCnSTFEm/q4oB/o10 EzF4hY0ad3D/8E5EK7Hj9dhE5zMW4FsZPwUG67BMRit757Ed35aKhoiTs7TQSNhDQ6CzL9PHMixG oLbTK1JJhKpXHIhOq0AxNhEyaRDp8XmpFKvE981MpVkuTXAuC0c7cIRRluLwbSyroYG0AmGTirmD Fuav0LvUXruqdS90fk11f2sSHdDfNoCdZTu+Z5/H1xamq6SmOPvyLQJl+6+E/OjBsesMsSlJ8iEO rO9fEjJFT814+pyRtLTKfIxdcokIwlO6twrw7Ec+hrXVozh78YJCKJbwdMJUXZ3z+Ry7W5uYsstz GuPZD3+oqT7YHm/LI+ov9/CBn39WoPqxU2exsn4cu9MM127dwLAssLx+FEuDAdIwwCef+wVcOHUK y6M+qlmGYjJD0Lc2W5oidH+knkDgOsVwaFwmfnXSnknIEInLCknckGDKLCVpEDRg7D/40Y//vObf kfVVdHo9tRZjh2fHv7V5qAYPmjHopGxLxntGrw3I5+Rv5SZjHHckjMjyntSFZnmWo0vvs9dXJx6e g1rR0+NlCMe5U5Q4eea0wsSPf/IX8cIL38I/fP1reOxnLuLMuXMKx+kp5mx71u+7MixvSKzhhYMi MUisiLwbdlRtwQiFpNtYBp6SPAc2OY+o7BMHaGl9/ZiJx59sg3WHRb8zdjbim8tyFZRRMb0nX5bC HZ896yx2d0ZL2S0qKbgZ5nYFEz8xI6DMnAybaY1bgbC9jw+xLbamYt9GYcE0uaUz6ZUZmGUj2F4y g2Ryu6KRkue0b38yV9sI+eYx2Tzz1q+dDPCZwwXGRYqCue8GNdGDK0FhPRYlLzKNyj765hD0UL0u vLsXug5Jm1BTlwZdaQHVF9KApSSJKjMYItTiA/qdFEVQIN/bkwHoxV1M6zGeIWfqZz6oLN0MuWr8 lOUi5eH2Lt545VX04hQrfWuaIHrBdE9hzGDY0304d/JxPPmRDytBQXrFztWbuPT6a1idzrC8vKxp 3u0k+NmfeQrHllfwja/9Pb5x9So+9NFnsNbbMA9VvbMs0ifYrusNY4VpnC+e10SQfHNzU19sp7U3 2VXmjzSHtbUVrK0sydhQfng6n8lgEWOg50TyKO8hD0+ZKhrAzd0Zdra31DLeZ/hohMhB894tuWGc R1k+c2C41Yyy8DztdswzY3TPDj61eT4nT59S1+lfzzJsbm3hyrWr+OFLL6t4O3G1jqI+zDMZUD5z qW84BQ7N3yDEjStXVQY0GA4xm1H2eapmGmmnK2/XCDJuyIM/YLTuWJ8tHpjHVoP3i8E6xEg14c++ tkSWtle4ZxKOTaGv8Bhv+LTVuBhbSo2Vaq0W0i6VhXxUaNRBWV5ioLVTU3fvd/wop7xgJMw2p8uX w9SNeoJq7kgL4MTjZzhNEBoZnt9C54+fHe6bFM0e54zRvrvTajWu4+iU7Hg1i6cV3tFouY4xTiDO 0gUExn3Q6skPLu0vw1wiZvhHDCykFnotDXRyOruxeZVklNH7qrI5xts7KjRmjd5Kb4SCJStcMEEg +kZIK1eHuHL5MmqCZXkp8men30eRJJiwRKbMFZEOVoYYrS6hKjLklHqoSymV9paWcDQ5jq3xHrZ2 NvHDl17CyePHld2jV3Dj6jX87Re/pCwnS3OWjqyjUo2kscO1sTlDQZxzeWlV3hAN12uvvaZNhAuY xofG9eSpUwiTUJgk50juypuEVZlUnwnnSX/fOv5QnidkQqUs8drrr+Nr//D3qv97/PHHceHCBYQD ZmJLlLlllgdDa35aV0BP/LCpDPdoeYgxVUyJidKP5c5AldiykKdG9dNTZ8/gF3/pU9LFD9EgQAAA IABJREFUeuTiowjJtC9yBHGgjCKNkMVliyfcLAVAG8Vkd6xnQexrGFshd1DUyNmNu9trkk0Lw3Ow H4LNmQZ+cHO1KSKp31cG697hoO+86xuMUoqEO5NwKMbvxK7k7RAX8qRO466IpS3Q2S96V2ulTi6U /igp+eT+Zn936uit2mdziRpvqwH9iW24LiwyQGa4BN7LA9vvajeZaWeE9Fenk3Xn8ERYj1G1qAvN 8ZwRbNx1M6Q0RNZ6i/4krad5T4ab8W8+98l35WqZFTEjKCiQAHuIJA4EtpuSACdZiHw6wfPf+Ed8 +Qt/g9MnT+E3fu3XcOLUOezuzk3loaqQBiFeuXQJ//Ev/wKrgxE++dzHMOp0MOx20U1YVBxh0B8h HXal21zUBYbLqyJoztmPkMhfXSHtJlhaWcLt29t45fVLmOzt4OzJU1hZWcbxE8fwzIc/jHI+w2i0 LI+JKBYFDpPUBcMuzGHIv729q7IeelR/9Vd/hdu3d/DpT39axoV1lEkvFQhND4zk0DKboyos2xYm LOmxEitVJlDBQuG1eRlc+PSsXnjhnzDe2f7/yXvzJznO887zqSPrrj4BdOMmCB7gIVIUKeogRdHS 0LIlypfG9tij8Hh/2fXOH7S7v+wPE7uxYXt2dsIx4QnJskVZlCxL8khj0dRBi4B44Uajr7orqzY+ 3+d9s7IKDRAUNTGr2GSADfRRnZWZ7/M+x/ews2fPSqMLV2s9i/Ium9j1a5hhFDQ1RBaH4MmXyLyS cC9QmI2y2diISXsrTQXl+OSnfkUp9dJSy0bpyPa6Y6d1hdJTBUWUsaFnS9nnD5BKx29+85t6P888 84wdPXZMwTIdUv7zsy4kOXtQ889jnrcav5ZPJt477eeXPmBl2dHi53N/ZyoTp2De/HZuHxvqCJsj dsQ4amUSF8K+QlPoNmd9JJVhnm2pnAtI8Ag6jf9XGAiywtK1CuRh2WDJTNPTcF5Y2pri5jmLzJUT ZtSaQPVzz8HQk4q3XeBMKZT6uceHzxv+THxCwFUtGUPNLONzwjMZIg+qK4qiysBonYA1RdpXgduD FawTteOCV161gnvxRJlYlJ3h+omdwjViUSToyhdssL9vF9/wadb+bscmRyYqYVrNhhYGi/fq1av2 2o9/YkfXD1vv0Ydtc2XNmoA661Ur1crCHBUbiXWnYxv3h6LOSE2zVLWkWlMmMS0k6uEsL6/YT370 Y/vKV78iwvDzz3zCTp86aZ/6zAu6jkvrq7YPiBOqDZvYyBU4tRllBrF+PxqNlrIqQKQXL14Uz7FV aSpYTofek9M1qVV0F90dmwwV7a8Zp1NtifFYi34yGls1qdrZe85YpZzYufvPWavR1jMNFoze0ZuX 3rJvf+c7Ars++4lP2O7+jvU7XVtdXrHhwKePKGHwuhDUuc+oekAYR71hZ3fPM700te39PWWDZQCr oV3CZpLR1AhiKvfD4GZq9r3vf99eeuklBe2TJ0+KEM7XmGY26nUbSII5H6QO+HsQC7zV5q74/7+A ddCRybRrysfDFxQHaExqjgqMIOhCiVU/UzigezI/h81fXKAEocTUgkSPChndYDISJW9zjX7AoYxy abw6IM+zPp8qep8g1nGi7uhrXrJq18wFysWeHZkW9lNOp/GdO/bsePgE9gzZml8SF072z/tCpFwj U/SumQcsBPT0eaAJgiqkoYEOEtv7Oez4fC3BeJPGeyiZhQubuPxMnFuj8kmT+AOPPGLj/siOHT1h p06ctq0b2zYoFq25WlDJQ2P9sccesz70FwT6SokmWbVqWVkHT+tgmlqXxjRZHEFMQwzoQCbAJRZe 6XhgzXbT9uDy9Tr299/5tiRbHn/icbu/VZPNGNruvXRkNQT4+r2A7nZ6Vt6tmvIPHiNA0U984hPi 8p05c0buymRYKA/2R32VaTxD1cTBl7QNeJ2+BPpQqXdLNnSBID+TuaE/XyuW7JmPfVzBAPgBvwtA aa1Vtf5+X07Of/5nf2Yf//jH7eGHH7bt7S09PyePn7DrOzdtgps0pTeCgPzeUGoS7NDkH6Rjq9Tq VqkErXdtzrF6gK3glYV6VgB8A0zBN9uCnfvAI3bl+jWVj2RXPLMqTw2Ww0jlevZ86iHOPa92EEEk quv+fKTq8i+7nlXcDV3bLmQvgQ4jsdjArVJ6oGa776Dscoxv2XEkchcwKBlNQax3L5d4LZ/KBZPN MNqnOTsqwP2KduWul6TfISMABNUiXcJJrVHtgHcguRLG9vADIctO8f2TZvFMsjZ4xh18cSjrAuzA z95xV6HMK8kr0M0eKC14WNVfC+BX+m/JZCChXspAMq2SQKQjaaoX0FqfpvIPBKUt2d9JxFmRgUys 19u2RjOxivwP3Wi1jIOOYlWqBm93v2e7o7Gsrz71qU8FSR9vMKfFom3v7sh1hyY1i+XDTz5lI3BH 3Y7wQYNe35JaTU88v6PSqIkoTnYGTaWkzICys28VpIKLBev3OtZqNeyppz5kP71wXllJ0qzbzd6+ Mqek1VBZlI7Gyp4o+Xj9ZrOhBRmJwINBT6UUzwTqDmfOnNZ9zLz8xqkNugMFBMEdRphkDJyAjO0Z U9hpwXZ396Vr1tndtxvXb8qSa3V5zZpc1wREfNn6/a4ySTXYUUKtJXbffffZ/fffbw8/fE64QJD4 ZDtvvHHBmrgDFUrKTpfbK/o5MlSgCwwEdnZ3JVLIfkjfKrIQ1OcOIoC8F36e8+X8Zds2ndry8pKu WX25bS/+zm+JlK0eHYEmiWjAgs4HA1y9T6afEZQcGReh7VFJoFhV9JwNEVNk+g4qpuLvN7MiW1jf 8+KDZIS/7HpWUYM6jM+czOyqnRmiXRfE9dOlAqneeJhuxBINLp90yv3iMc6P2QqkXJkxQKQh2Hnn 2orlui660OPS73Zt81nz0sfflG2OKo9ifgTUGbmU15XNOiJrDJW0G+P153QRf6O37kgOAM3PEXlP PqX09+Zj8uz7VdpS9rhqJe7HZetZAr9P5+8ZFtIzZZWEXMWxVaxkFUv00YN4xOuktkLGUhjZuN8J Di3EctyZ/T6MYehQOpZRJCjbgPppippAou+ZEKRQYlbD2zcfZSiUf2li169fE9nZCFiYmpJBxAcY Ib6xi335AmTCG1RZZUBRtP5gYs8996xVqnU1+/vpSNlCqVyUQmmr2rRrb79t58+fl0oEvanolswC o0zNrp9Ixp4d4EozHo5s6+aOLjuLvVvoaPIbG/ijYWo7ezsiTV+7cl2E6lpSzSaBZIR1DCTKxADa Ah4AUX3w7LQgXS9ECI9tHtXnmXoi3Ld1/YZdvAYItBX03UvK2v7u5b9Tj+sjH35aGZk2vRCg2ITJ sT2L5Plz6g1gUK475rMRPAoWbDAaWIkpuhRnAac4hUKA5DDFBrjqjxqvOQtYDhVxArYciXh6SiNl 6TzL0UEIuzktpwiryKbpM4pbfu2Xf6n1rPISwsqEZmDNjPKSe+MaCWv6h6a530Tx8YLcbBaweB2N jb0hXkT+Q3QS5FMmkv+lN0TTcah+E7rirmflECzHJEmWWL+9aInApm7UoNN2QJcItK5t7oE0yrzw QMxBGkJwypOCbjmirm78p6SLw98DvoySTX8v0JsaWcPIsEA6EbB86klmFZvucN6ETk4rVixVpdvu Lj4EdRDyjv/hJRv1mhYqDynjchaFl56OPdLcMZbfXMuAceMZpkGvWWTVdaEqxZalpZJ1trfVJxpu b6uHBXgybA+OF8o4I2wKkVfEfXUDCEo5siLAmRhK3NzZscMbR1R+AQgjm/r2t79tf/EXfyEZly9+ 8Q+VCZLhjMfu6eiDEXfEceMPpnCAPft27epVfX8tqYmQDA8UN57hxPtUUYWBIEKQXl2ixG3Y2sqa A25pwmvKHKSQi+AEXfaHCTHu0vecvUeZ45XrV+3YiaO2vLbi97pYsq2dXRv2R3b9ynUF3a997Wvq s8FhvP9B3ICGCg4okrLZZC45AWXOQQDX/WHwUa9JpJB7XK8k1tnfFylfvpbBii0rEcjQpAHmnxJh OgQ0FTVFXHuG2XNLRq7eggjffi7+jMSnNQ6S8oayhV+ugHVnPauiTAJmX6PkcqyQghb9DVZshkT3 pqQcX7TrOB4KqEIp3odw3YpzlBbvK9EDUzudmztF6qVo/T7fQ7ZARlRAvkpllZQXdHnBJ4UyNdjQ 500ExkLSF0IfSPvfTOkzh3GJSHOdWwA3Fg4Ag+pToU8gujQDBiZ9pDEsDCAIwVizNOlbqdiRggLB ysMAIEaXhZGksbASYIbIwgZWKNQlgSLNLOIYciRBSpcBg6afU7fHYveWW08g0k4nYx+pF9CFp6k8 shpmDZJk8XKZlcQ0EGG6CZPAfl9whes3t2zt0KpVmzXr9vo2oXnMBDdITHjLLODnHJ0puAL3kc8z paT8g2qFCgJl5vrqqpXTomctjYarMSCWJ9dkzwJ8+OIBS5kCelUKXl5etWstAV0no8CUGE3s+s0b gilwjY4fP6nyLClVxEVcaa/otfhd/f4gBGp6S6FHSbYVBi/lAhLLKJ2OrY82fatujXYzaMGXbO3Q uh3ZOGpb2zs2HqYKDmRk8A3hMNJuQF2Va0tpWGOiKeMOMvgg0KcMCEs2B+qyw7EuKGvd4zACjAPc JQSk+DhKtJC2w5jMPkbBeUWSeO2UgIs36UwM3nccahy05mNzP5KxfykC1rurhjoUwTMXN5f0yZtf N28G+zaeycHGSRds+cC5U4oswTpvd6lPod3Uicd8nwCXZBmyWZ8Ym0dvSE+gpIVQS0h8i1ahCcqD LV0ib7RSYroMSZqNvFkQIMH9lL1PhvZVUdIkPr2bGwSHQcJM48qtvRypPsPPOFbLgx66VQo+EwIF QQfkOk/O2MqlsVDqlID8OwYsgQoV2CZWDtAPeI3EvNKkPOckjYTvaOTOK2B6PLt10iw7NyUxI3Cy pPHI6Sn1WkWAR644vQ2Cu9NX4q1i0QBmnVq11bDLFy+JF3fv/ffaAw+dk7aVpWWr1muWBimcmVJG UMbwnMh6Xe8djXoDq5aKdmjzmOvjT0tWkSzOwD7+8Y/a5uYRTcBQMaWXxHvg+yImi41QBHbgGwKB lq1RrdnRB47ZO+9ctvM/Pq+AunF8U2qglIH8Xg4CIj6IELrZbPb3Owr+cmxWie3WXJGyle/b1ho1 29nxpn+73rDhCLXSjhr+sWpoNZpWWaqqpL3n1BmJBgq8OnSFVJdeLtk4rZpN6pKMlttQoSBiNdlf o1VTnwoqEEGJCSTv/U4yyfx+qTsErTeVdmFzV4tFsjmhVNd3jfRcT+TkFMC5JbibM3md/HuPCqi/ tBnW4r89i+JvnkGFYstvfuiJeJDSXEwpvb4jqiXk5GKFSYqN9QLZiafcaq5HkqY0qoISOqjqMQEL fz+Agz5xUQAUPwvXYj5fsamE7DwlzlNlIiiTTIbpJAx+AgMuyZzPmB2dTEzfPS/IxwRIn81wYjNs iwcrhVkrFPndKCZgCd9TGVgsj1SKAFUo8VBqpO0lIaWiSiCVKe7jHMHIKdM10v6AViWjYpJeLlEy hxIx9Hp40Dqdnj4OMWIYOkp6PJzo+kAkZtcHVsEUcixALhMsoeeCpVjBWivL9s8vv2z/1//5f2iC +MU//iPbOLFp1VrT+ulYFl4SGZSkTigNw06voGMFu37pkv3N37xkly9ftV95/tPKQlhU3W3Pgtor yyoH2UDIJLu9fe3sBC5lGdHyPbYagG0kQExwvzH70Ss/sr/7+2/ZmbP32K+9+Ou2vn5Izx8DBzIV KR4EeAlZ0GiEtVhiFZW/Pt/Ny2yL/iIhPS8nua6tdkPf0+nuaSOgH4dByf4uhO2qjZTVlmyphdJF Wz/HH74v0s68LKTxzXtypvzbF95QWXvuoYfk5yhyfoLCauK9sVC66Y9ujbdMdJ9FbYtB1iwpoIDL NaJ2jprwBC4S37GqCe/dep8OxQ/Ka5eH9ulq/F3xoKkvgw5weHyP/RIdt2ZZruApB+NYB4dSRf/S RDCoNYRAFEHiPtznYff+Fw+YVDhDOampIAht3SQwNjTALTgYT2xAL0vqnwSkRMEF0ql6X8WJpIDT UmrFik/qIu2CCRoZjHYehPBShOzoGbB7O2wAyADNfbXQF4iEMWDNBsNunqpSMrs8LCrylZFVEh6S gU3TXZuk+za2rvv+lSRYbumYiZ6QQ66rxdf0kezOR/M85CwKAtuQazIeW2lCBgl8wUGKTJpY6JCG l5fbCvC7ex1vYCtae1N3b6eja04DGuyRMFwq6zyYq2jWrlyUezRyw5Q+jOYJgEzbVnrw9vzeDksF QUy0SRHoyWKHI2UX8J2WW8v698U337LzP71gH370CUNAhpMi42uttq3b3VdgQZ6FgMI5U77t7e0E TShfSAQO+ktsVr6RlO361Rt2/dI1O/+Tf7ZOZ88eevQhO5ucDWVyw0BjkDEOU1yHPDBRRhE8lNVL yywKvARD2yl80pHoPUxDm/Vl9YsGyNoUXQCw2+9Yvzuw5daalUs1ZbJdBhiU9mH6R2bXnLSUyREw iAMuN0OJPrTpaGRf+dKX7a2fvWHp58f22Acftz7Xod20dOjZEJmdZkmBoRbxWQqCmfs0gY3nIUp1 Q/L3DNytx9hAfAiizJdsCtcnCOHSs/dMMa7V/BoH80bmy/1gOvr/kYD1LkCy6IqcGT3McP1yNQ7N wKj9RPOVHElGn+BM1LCKvycC5UJjT9Eciok34lmE0i+ijEv9NzIhxPxSXLUxOCCmhSUbFyDGNlRM SdBOTXN/oJlGjpUxaQpsCRZRSvEIBpiNetjEFRlHGDX12fnYiVMvkaJS6cHXxjMpaVXFwEHTXBMZ Hlp4XgNRY8aTXUuHuzYcbtsk7cjJWTIw6q3VHGUfsFik7TEz1e8oUvoUrFhPVL56zwpFBjBXZVup L9vO1o6d/+lP7dKld7RLnzv3oB4wgJbCbCWIuZtKIXoy9JD4SDkoAnnQ9IrZi5R/tMGUbXd71557 4dPCQ3HQD7p66aqeiQpONTTOQ1ZFOUMDut/t2LDbE0mXftDJk6ftxc9+zq5fuWpPfeTDQqeDWG8s 1SzFe7nfFbmYLObqVQ9eWGR5w9gXeZwkS4Y4BqzJ1I7ee8o++JEP2vW961rVlUqSPXO1cslSYdfA Q7m/I5NSmZeSgcKbrAVJaYSJYlkk2pM3juC6ku2xIVQrFUEh9nd3rL/ftWatqSwqwZ17WrCaTGWT rNnPuTityvX3o5OPyvdBz0bdvsjbF86fF4GbqaWmo5TQSUVejpG870HVu+tgCh1k6tddPVWBsZmo +wScxaQhk1oRuID7hsp9pa+s8yGrT8Uz0XV2ieeZxyJfvnLthtYQtCANBN6v3bqDwn9OOyD1H/JZ U8RhzKZr3GApF0AKFvgy15QjmJQD/YQ3HgCXznwLKnaSjHEajSZ+yltKAfRpVi2y2wQ8E7tGmZF4 wQbDiSZL9fqypQVML8msitYbJdabgm1h3JvYFGBq+H36NyFiOrEuO9qQKRB9ICMsSLGARU+AUTYx nVpvXLZpWjaboBrg3oJDpocB01Is+KTKJ3NjAR556NjJKiV6U94Pgb9GkELWpVRyuZdiAUstSri+ jSY9K6cDja0l5wvQkMECY+0SmR8NbG/c8ofbooXKoikllhRrwnUhCkfGVqS0KFVstLdrtYLZ+R/9 0L78V1+xcw8/ZJvrG7baWrWlGkErse29Xe2SR9aPWtoDu9WTvfxK66SlZVe7oMdVqHhPjOlbbzwW 5KC1umzbnX07+9BDKiuRhUGzagyPbdK1Foj4dGTXtrdE12m0lu3GjR3r7g/sgXvuFU6L4PjQQw9Z 8sHHrVir2NXetnUrQ2smRatxLcryXZYSaKteE6EbR5y1tUO2h477Lj6AK1Yo+bVip6dH1R0OrHfz HTt27rj9wZk/kM8gUIm3Lr4hDanRoOY4p96+lWlqjxgy4F1YV7Ba3Txiu3t7bmUv1VEMM5CXIYiC D2toX6VZXa+2dH/S7sha5aZKqcH+wKqNlkxpB0PHftUSTD/I2sjwCE5DhxJogOBBi39XkrYVGi17 4Vc/Y9c+8JitH9nQBo3mfX+wY422cxYJllprwT4uU7bQ6zFZD3pvAXTr38v/XCmtVC3aEG0vgXEd 94ikD5zQYTqyIoBWBUGyQE7Te2E7uxiPbNvmsWO63qyN/gCB7vdzRKj9+zqCl97MSC98DD2awGrw wW8AbcY+B5mEdOEo3dwOnGxBUTzIwIh5n2OOx75XrMMLmCWQKtO85nWYaqkKrFg1qUlvHJXNwbgg yeLBhP4UCptcOnpcUaUzGpeiN+W7jQwbqNX11GkmYhVG8YHAjK53P+WBoGyiyUxPCJzXrBQEm4Wu ufh9U4cdlLFz12sMLSn2aS2bFUGlA0cArkDwCpM/SjommMlUEiFM3kThIQgWy6K4oM1EycfiqkPz GHl6HnE3cnKhJ8E7lgchJdfAJpOhTFB5wmhAQ7GhTHnnzbesUV8SfIB+RhEJZWgv06Ikj3dLJdu6 cV09oqP3QExuaOo1xKwVSyywPwRt0NoATKsVS6rOUtAAYDSyQW9o4+HUBt1LVqrXrbfTsU46tNXN gq2srotzWK5VrQbmS1mor7TeGKMJFk6ij5SZVe36DjGJpRSZNAFob999A1ttgoqbjXI/6TVWaui3 j2wEhKU8kdQN90tWYIOeTdOmnme57lSrtt/veqO72dQ1ryR1a616b0iyyX1XeMAhB5eeZhPuH0OQ kH2Myd7HlvYGtnvjpm1t37SVo0fs8NGj0rkn0PP748QVVx7Xg7s9+Bj+4re/9ff29qWLtrG5aZub m3pdMjpZoy0Q6vNTQ62fBV+ESJVzGI0/v+N0qEGJt0J8XeMo5DlbaLtwn9gg1eZJpQaxtLxsZRQu cuDRX0xJ+HNnaT7L8WAVwIALPRspG6opedCodCbn6oYFzluKrPv4Nf/2GUZp5jCSWpE+SUhfCUA0 BvkI1YHeTWfA7m/WHxJcVDwGSk3YavTWQwqfkYyDGSs9oglqoLyGE6ZHjNrpV4VskgefIOXlGMEt 2HypcRxE9eTa67rogkwEv0Cb9KxUJohFUUB/n8omQw+OB4OplhDDoOplTR9ArDivUAoiA8ODwhSw ULZS4tQepzMWpK+EkwvvidfBGFTvX2PTogwZnv7YR9UgR3WitbzkIEQCDpPAOuBSjCsmVm807Nr1 6/bt737HLl29ZL//B79r9z94n60srdjN3R0BXV1XHO2nobSfuCfc00araeXipu3t7NqFn16wH736 Q43zH//Qk9baWLekXBQ1BhUHfhbjhykQDLJEmsiFibhv8OysmtiIrIQgXfeGNgue18C8dmf/pl24 cMG+/Fd/LZmWZ599ThNESnth5DIPQPSxCBLAI5YkhJdeHymwadHXYBTQowQkObVeOrBKvaGNEdE+ 9TgNzFPdxuOCMiivDEx9KXiCQoQDG6lWbbDftbffece+953v2j/90z/Z87/+q/ZYrSqqEDpamtxW CJRlBU7O69YjDnumyhSxExuOh/bMs8/qdeIaIWDFKeltV/CCb+GsBxUHCN4HFTxD5eEsmfA/BFc2 W39GeQZV0k4nykQrctsmK3F6W/kX23+avMePB1li5f/uwLK8ucKcG4wML+lTebDigchmhY4szF7L fzbqOTkOi59jx/KeA30KmuOUiuQvUE1Kjm+RgWmAczLOBxzJq7Ob3fa6qJjXpFGSNBiGjgFuOm+L G6QG6pQyMgr2RZyWXwf11Oh5kSkFugz0NU3VgJBPvYFeKAwlnQwA0bEt4XWkrOoFsKs6BLCDklr/ WqXaCFmLwy4AP2paE3oMaI3TYyCOw20k+KKGKtt2ypw+rdOpnTp9WmoCO3tdu3bjupDSpa0bduTw pj/4NKyhVjSwwJrY22+/ba/++Ef28KOP2NLKqjVqbStgETZKhaquiTs4UeDRA08/MYggknldunrF /vGVH1hxPLGzZ8/YvQ+ftQJa6SDkySgRDJzQK3QMlahbCv4YTjCCndioO5BAHdkdQo3aHAmygZzM n9dee82nc52O7qoTrUvKQsXBjCKQOEuTIbRaWpydva54gTuFPWGbjh4/Id9DSkofvrAxJNYn44MP yPkwQaQcB6dW9AkjWQcQGjaQshL1ifVGI9ve3bPL1685SFdwmVnDOrZM7sa5GdDrC5/5Va0bNLQI CkBueIYIeGhf3emYR6jHLnNUafBWi5eSOe3usPaz4BakngS/GLmdGgBtNdlrboOWSZbb+zxm+lM/ 78eIvI3BypviQUAlJzF8m4sVcFguyhe4f2GKEcfRfl0CKVgET58gUkKOU6gXlBpgohIr4ZZrNByn 1htNbTAoyuhTmZ/6NlWVfGRFYKoIQPNUzrwscRjRMqZWfe8lTWyS6/yYZKr/7z24eBNd9YDydUze Z+Xi2JLSxGpMyIFHlEaaRE3GPStMQNUHQhBk5Cxo+e7u1mFBBSIALNW1mRYVcKRuWapauQAAloXH 9HAqDXp6LVVx3WqeWaCwSnkLD7OEVtOSg0EJBHxfraqHHD13muCUOJQ/eodMBxt1O3riuH3gg4/b 6qF1O7Zx0sqFmvU6A0EeWKgE02g1BaJcPRJ4dDu7trdzUxPA5fUVe/LpJy0ZpXbq+KattJo2qZRs j/Kj15HLc6VeMRT9CCYEI1173gUtQKNEdlmbbh9LMdgLPo6nX4lfIKYVv/+7v6cSDmoMl1i8RgkM ov1VtlFK09vLOpQieIaAEiAlc+XKFXv569/U/Xz6ox+zDz7+IVtq1sO190y+Vm5YZ7AtbSm8ESGH w4FUn6vbFcRgb29bQNQ0Ta1ZqdnhjU179pPP233nHrD7H35QgwjuIVNO3gfXLvIh3+2oNxv2/PPP a7rLvYm8QiAnkaZzx/WfGa7OAKMz4OckAF8dnuPl6SJfcEa90dQXVoO0v4TSU+/8X4A9AAAgAElE QVRNmm6qfH6hGdbP93F24vkANfv7LILPXyQPSt4rihfDhy0xEwsCdKHnlUX5HHjUaRZOchXYVJws 9MbL4qB1+yg4ltV0x7BCZZMyFNdjDyS2IKIXwKrxvUSQpzSu4ntywFys3l3bauZfKKkYVXXeo6IX NcbZpZBapTRVsKonTJ1SKyTeP9zvYDnvmZVPJFLXXMqBEIVzYQLJ/F/ON44E57hxfUvWUctogldC 6Tg16466Ks+uXLlmq0vLtr5es3qzqWsgSk3Q9WJ6QyagKqZc0kJbW1+3aneoQEZZ2On3rFom6PvU 9tCRw1I+gGtHY5vR9rWrN7WjMl1kofT6TikBjEqvi74VdB+C78qhdds8dtROnzxhxrSsXrHOzk1L VlqSVpYlGiRbuHCgyssYvQLFMGvVndxMn2htedX2QMDD3StgCuITPr5OUCL7+OQnP6lMA/lmSSQL pxSGQlzr1Pl4StqAeyQEDvpPKCRUVFby/k6dPmvpo65ZC/QCDFVZSiJTS/tISpesXK1jl2j1akPJ OT20QiexvU5HsjJTEOnLBTty6LBtHtmwBx9+UPdamVq/n/EwY8ZF3+zdSjpxJUWbmior7nQ7ahHQ FuDnuX+3OwRv0HPGmpvFA0fC+6QvUnNmU/qFdS21V18DcboJxq1crOp5iHjJ+DP/nWENM2usWWYV +1OBuKyAFG2qAnlT2YjvmFArohaVypjw5p2fxxSRIOPf64HJSwNNN3hViJ+axUJ4LRlrgms8HFJO VG0iMBz9D2eoA0cg5Ag8SAkQIv+cbnV4Pw634O9ESEqVIK+s8/H0mYa0sGNR1jgQjot6UAZWL4Pp mli9UrBqCfiFKyqQgTEwYGBIIGDSSRYi40xRcTxwp7F0FueyoNJqMHQuHNeDaVQB7XKUJiiLdc6e iciWjLIZzNlgbJMq+ldlq1S9L8TQYGdvX4sGW3dRDpmT1quWTAq2t9210mCgHbO03JZFFuBRHkSC Gprl29v7dumtiwp6aFjtl7sqFykLNo4eCcaevmgwW2ByRsbDJK9XcUI6MIbx7rYt18uWVJqaRCGr Ai4JIg0BZDxAEtjH6pffuWgX33rbVo8cso17TtqkzDjeaSiaRMsdKWph+XMD0Vqz5XKiPyx0MqJS 1UGRPFNkXK68nWqxgzz/9Kc/bTdu3LR7z5zRpFRZT7lijUJVixrUOoYQaIYxmKCUdF4kAeumpfRY K4nVW229JtpgPLNqHwjWAwwHMKr3hwpFyk544s59FGPiFjPUDCVtq+vrYcPxAEOQJcvh/VF+3s6X MBryxlIwK0cjbzeszwjZyPKpwISI/SuxNOBgko33ABazUZWs3qhZtY58uScn3ub+7xywInTB/xEW d8bcjnXuPIs7mknEP06gZYoWQWue/biJ5FgAPWmna3f3CaGIPGpUo7igjqYCFpmV6DaoV05JR5mo +fTOqTP0cjA+nbgAH4EOTfPZENIfWCf5WZ6uHDMwD1ohhdYcIJasHp6ZaHlvZCC3mWYjsVpStHrF /XMo/0Sz0dh4Yo2qm63ChRwIIc9k0pG06o0pwEbQX1HBo7M/0HSMhbKxsmYt+HDlhkblsOe55vAF 01pD6qB+bkXr9wBjsov7FA+iuZrBKG8mFVlC9YZDq6ASutRWprSzvadrv7LcVsmCpLEWA7N6rLKq DZWbruFVsJ/8+DX7z//5P9ulyxdl6/6HX/wDQQoaDRfxY3FhKc99pbnPNE6SxMWCDfs96WWVGjVN DnFyRoKZrEfZ3WhsO6Nde+W//qN96+VvWHt1xb7wx39k1TaefrOnkUUrWpUUGxxMGuVmIh3GJYVG cgACDiB3a0CyKc1yIAYlEayfe+45u3DhDWVrvW7X9vb2bXV1XY43TI4brbaN+n3b392z65eviIZ0 eOOQrR8+FEC3YylBgG+r1mqWCFHubQaCKuUu5ZvUISilshLNm9d5IObiQalFv1FIcjBjNLWZGDOl BepxFyXl3OurgvGP09gyUf/J5ZY8qZqZtoqvizyTBhD9LGCxKfnXfbbkP+NiBe8/YAFwXNCpim8i Tulue0z94SBdH44c0BbTWkwlRaANfYY03BwugjKlYkH9kmy+qlIwEpVZquCaaKojcBYUIYtTG4+8 Ua+YL33tirstp0XvW/VpsosZbYVSzcGbwZZdPDdKTwCp/DcGMuDE5oCXz6aTUX00v7Nk/akcbyor 5bRLI79BRgXdqyK6D4h5efzxPgLOSsTb+IyUwrlKUbCsMosngHOmYc6DA6FhNHK9K5yPXY65bKVm wY6sHdZkizH666+/aT9747w98MB9ClTSoioOhDa+ePGyft/JYycFxAQ2gFornWCNrumllVxTieAA eLa1tGTXbty0dqOpxUSQqlcTD+rALSpMoUwLGL4cwWF9ZVU6TFAyCFicAwYPEHYFcygVBYhUr2Yy VHnIgt9GVYAZbtqUnb0ynyKBvqrfKyS75Fzquv6xqe79GmhCNV/w9OjCQAKjB3pqaFcxNGFBHTm8 bq+88or9x//7P9i5R87Zc7/yrK0eQvc9lZEq7joqy7DIqlSstVS0e+87K4oWB3Zb3B+0vpJGQ/I6 QpWnI/v+9/+L/fmf/pk98sgj9m/+hz+W5nx1qSkJYmhROjCwQAdMfgMzQUCO6Noc19DtjvzwCkCw B9qxdTvey/OAEQJ09kOhnDvg9WIJyPqMr8u1RPeKLFzfE4HKuedeAGsbayoOyJj2gIQFxeMlGeGZ j6q+Xp2874ClysVtXLKP2tOFOKfB7CVPppgZPjqUAVAZqajXsiggajEHidm4yLlBXut61NcodSEo ztJPR7j76NSR5V4DB+stvYarChAUQayPpgUbpuCf3A5+AvFWpBHHV03ukBIv3kTJcmVJMNNBp0po ChIzSLI09YBcoZOMD7cZ+HiUf9XSxJISfSumdgQpEOxwAsms3BQ+6qXyvlgM5VpiRdJDMi8Y+Jx/ yu8HugEAFPVNTFMRTisLRrC8tGTpfk/lCG7Ff/qnf27f+94/2Od/43P2Gy9+Ts1jDj6+8sqr9rd/ +7Kmfr/3e//KnnjsgzaiD6OFwfUPUj5RmSLcKzh62zfcZYbAVU/oB/ri0udaa3bk6BFbXlvWFAyx vH/9xT8U2BTuoO6jGtqu1cQCkPo9D3WSWK/TsdbKig0LRRmmJvWpsjaGAr3OvpQeKKUwQ0UmudZc FgTjxOZRW1pbd034NLVebyA9+lLFgbre68w5IMNEmEzUSP/xj39s3/3ef7HXf/a6fejJx5VFkCWK UwmebDhSj2o82tZCZGIJiRwyNE3twbAvgnT35paL64HZmk4FKfjQhz5k95w5pWxSwSeqjPhqM3qe krWOT16Ge7qD0OMdj4CXWkg27vbIvj/Ci5gMai06ZzDfu1pUGdWwCfbIcKBhhvsglqQqMcvuYu/Z //X+p4TRgFJFj3ez/b2jVAByPADXFj4fJVuEewrZkUqskLFpAhZqeWUr+hUBr+UuoeE6eannf/wN RpxHViZmGK7Q54IbyDSqVFX5Bz1mqKkYjXcCbEUjce+phWpVvzroFPlLZQ7K8bXnj+BuE7p06r4F 2kVmDZYDgmIQDeKa7KpSYoF4oELqRSYPwSDCn+AYRPH6S61GNx74xKRoCYqfJRrONDyhvzSUerP7 w8MjA2gv170XVKvbzp4L1MWAzx+VXYO+rSAiWC2Ly8cf+mJ8nkyHUT18x8WiIWbU0Ez07lHkHAwk eTJqDezqlUuiKD368Dllads7HavR9C5O1XMi477/3IMq31DhhB6izLtkjngOeluaYIWNi6yuNp6o /OvudOza1R9JcwJT1r1eTxuUlCPGPVF3cNB58JGHLYGfyP0cDjTdw/lGZQlYLcqvpKK/E2S4XgwY kmLBHnn0Ufut3/5tCQuurqyFeYq7g0vfqVi2ZtPJugwNlPmkPo3t7e/p+qyvrNmNS1c1Ka01a1Yp luzxxz9gRzePiIt59PhRlbdQxNTjVC4wnZkb5o6odeZ/z+f173a4e7j37USrmOvOHPQqi0+5W+LF IRjTY6+AsgQil1jEV3QI9azawOdxr7OvfzeLdasWaMeEBMc1h7Il/AvoYUWQJhlQfsIXp3Oxr+Rv N+p/cXivxQnMGcdPpc30FmCa0t9cORWPyEQPmWOQ6YiA0hkROpKl/TwdZ0STnUDVH0MsBTPiX0N9 QZ59EdAZglU4I/WLZrZF/r4W9o5sZ2Hi4Y1DB1HKA1EcPW+wV4up4ArVSskqSXSbITgN5aIsqeKg Se9vJBpOOIkVcwsClROIS2HkTvAaWIqLy3hg0+nQ9vY6giOsHFqy9UOHdT0imhkbp3ZryX7zN39T UitHNtYsQYtKfLSKTUoTO3fuAfvCF76g56fVbIs6gdOEcGzBtkxwCZnK+nPhXLKJHVpft+loaLs7 O/aVL3/Zrl66bH/0b75oD5x72JZW2kHOBY+9xIm6LPowwZJOk0o1ZCFckodhu56BYsFq7WVJoRDa y6WqvXH+p/bVr37VitXEfu03XrT1E0eVHRGAxGPsDZBasDruM92ujcOggVJNzjcjn/rxh8Y/EBQ+ Rm0mhPHuOXuvBgBMT3HK4Tq5MCEsAYcCuOmo64AxJACSgYDgN7/+ss79C7/zOwrI+BoChyBvREn0 vuWz2nDBj42BqwRNLu3507AJ8kxonbgqR/YULkizzJ772x/5CmWuZHuXnzvoNaIevmMbXWfLT8O5 iP7NuUkhmXI5yaBJEhoMAgHQlaIybx6/+f4CltyQw25PBpWZjQV7dTSg1fyJY8y83KkHs3IJImg0 rwxSMMpoyIRoasexapwU+t8jBUA9IPWWXMZCBhMBFxKzvwyQGvtcNAGRcZkWZQ81GNMfASvFZCUY dekcXPoluzE5iRcXCIizvVubk1GXSgJtlIVwpdSgp9afis+VFFJrEKQoAROTsoJ6E9OhTaaUb2CQ IsYlvO/wJ0ZLkO5YVMWJq8wIVJaRxZUEF2CxQjNaWarbxuEjMmhgEYJGb0FeHmxZoVCRJx665QCV +gj2Id9bKdmgM9ICffxDKBh0rNcdSlDvyOZhF/zThS/Oa3NHatE4tZX2ktmhQ4Il7O/s2sV33rFr V67KeQZuX3fUE6I9qZZt2nf5XsfsuAFrZ4rW1thGnZ7TNMollbmUWaOi2X5/YLsdF+jb29m3y29f slqracW0YBtrR5SpRMxRv9DL1DnEAR3B7SxrEgpPcXt7W81yEO1bN25Yf+gZl8i8MAJG3jCmOQ0M gHDHEMIf96JVa65RTiYqmk0KRGJNmQj9wa/89Zf1bHz0qSftvocetBs7KKqSRdJPqykjpnczAIfG 0JsFnSupCmpHRJs33ypi0MievfdY1kkyKKguSNQymqrk++nv+iqzSXzMsO58HpG6wwDMe8wSGaz5 xuFDs+AZSmWjHvL7DFjer3EMhoM0vTPtlVgcCbun3cw4NH4MAYQSTCcXlRUCQlesjxlGKbsssXQJ Y10hk7PRasQ/Od4pj/dwey03P6DpDrJ7MAErVLPRpKKUWFp7ujsh4KHtE36vsqoYrHJmNux4i+al 8QZK+VTBChCkq3jKQgvsDI3RwtQaVdQ3EdPjdzjo0yZ9K6SQjMEHuQSt8ygJpjT9o5rpRERgkaID jUe62npogBrQPN0Xhgh+XHwYbt7YEhAR2MKgWNPn6bM42bVstVbFKqH5GXExSKWMyvRz3JmaB5yg 12y7dhhmGeoYMtAIJb2uwmhsvU5X123j0GH7F5/+tH3oscftAw8/IoLwxZtXNbZHYrrT37PxAOpM VW932PMRN/LA5VZFpWgsMwbDkXVGQ5WbaX9ow0FqhdHUNg8fs8+88Gu2srpqjz5wTs30XmdXU9FK kK8ZwpMsIPFCcCdrc5jCP3z7H+xb3/qmMihcasgy065TVKIZgvfOylYr1AVghZ/JdPPCm2/Y9u5N u+eee2zl8Hpo5iNuCK0LpdapHTlyyD7+0Y+oGmgvQc8ZWqNds2Lf90VkbAAY81xLaSEpKNg6mCc8 b+rn+vPFNZUufj6wLASuO2VK3tEo2GTkAUb/jET7nG7bHWNAbuDmASt6IYRziRXOAT/Hf92uK3iw 0fpzSGYKp9fXiuOwZpnZLwTW4IwGH6lH3TsZbiIjIdml4ICsZiZByn0B832tWELkAAJO0gVzknPT 0Hg665vFG0Q5RyPbHZcdjxK1oUPmF2y0Xb4CkNrIoG2NC3VLg3qmi8Pk0mOJkUWS4Cyz8l3OP+0m kr4rhasRdsKAhwqo8yptJmgv5EcEA/XARqLaaPKne+JBTV6AFD5qmHlAjvg0mSyILO3nrHlLSL1F IcGhZndXX8MNhqmeejw1zwIQgLt6+ZLKwXZr2YaJy3bQ7Bx1hlZIcAQG7e+lnttv1dWMBkW/VFq2 WrNt+3tdu3r9mq2MUa/0SZsgItLm8vfKOaysLQdJmpIVqjWJ55FpoToKgTpBvaDVUF9r1B9ol5Ul VQptqKzz5PzV6wC20MdluqDeFq4w6HNRzrVbbSuWRtbeqMk0lSypiquzjW0ZQTsJEXrWziAC/TJY AAKkMh3uduU488Mf/ljB69FHH7V7zpyWRTv4KbTVhR4fwa10FD6wBHBxOOF84xvftNcvvC6T1Q9+ +Ak9A0yxRXpGfdSmdu+9Z+zUsWMqfegf9gY9SxPXypLMsqXW7cL/c6lmaCoyeJytNAuSb0EeO66d 95dlCXbMZD1Qn/JykO92ZAoNEe6RkzP2aeCstxbsWeeCKNeGDZDrJDgFdDXeN45OYCjZtHMH3jy3 P5l3fc/uqyKaCrs6C0f6VAARnUfHATLc8yoAet5Y93ZXURPAaKEVY5d2jAD+RJc6vsn5aaAfkkiZ BPVCJF3oEaE7RJ9Kkx12LOfrgbUiqRxCdGUMDc8UYEvskQlsyvmQMfAarrMlj704jWFXy9BVM+v2 xfZzbJC7+ejUKuWpKBzy7ZsC8EzVo3InZV4KeWGnoUQRwqiZ7tZc/vv8cNdgwtWI6yGpJRq7qWRR ABzyABCwmPCx0HZ2dvTQoAfuGCjK0pJVUEEA+c0uVy6q38KDwwKF91ZIg/W5eJpkJVUBVoEdsDum w67V6jSZU6vXmxLWjDZYBLBO138v/2Y6VqlWrFlvKeuqSJWyZL1u38GW9I4qLi9DeYfeU1wAN7dv 2BtvvGH7HVDnK9qN1WOrV6xRq9haY8mmnb7dvHTZCmDpeh1Lr41tiKFFuymICAR2ykkGPT0E76xn 485IjXqS1uPHj9pHPv4RlaoQnTXHnTinjWDCcwXan8+R2WnaK35fateuXZV+Os+u1B7AYsn1eaxM rFRzFD19OkQaO/2OAlqcpipQi1sI3KNi1XrVhrDts+cpLkrv5WTeGwesyvdaEqp1EtaUqGbBhPdu jihWEIGsWqNhIIWm21xulbk5xazJtePFxChWdF3ixst5oM/V70/m0AWwAw5sZsfmbgSfebMa8GQ+ cPgYkgAlN2Xhn2Y5BpkMbrx9ycLii8ZJMD2hzyT+qUbKwlWTfVQIdAHHMR66my0oYBY6fQvBHsCk +GRDVAgCkyGk5xMppmakpRBcpQuOtnSpIv0qAlSnT5Odt1ezYrOiF5MQjGrpCJbzjImNQnGMBQ4I VbADEOduQDqd9q0EwBN+YnBuVvsm8BqdOU+w5HYOhLVCgphMpSwh/qk8+3hQoa4QICBUK2MN+vLB qiVka3AmKS+kKq9AjJADFJhed89293ast+8qn/DLWDi8HhGN4PTmm28K78TnD68fEphx0Nm3Vr0i Ph3nJ4ngrX2hnYuVqhRWvcyfBsCo8i5LakVhkrav3bRXvvNDe+WHr9pHP/q0ffqFT7mrjEi9U2mP p6EMm1anNoRuhIv0ctUmTO/SprWSMO6Hp2ep8EtcOwxK+XPxymW7+OZF+/f//j9q9vCFL/yuNY+d sBPrq1Ztw0RIrVY26/QG1mhjXDGwrd0rdnzplLXrVZWSCdgzhOnS0L+UBdnIrl+/LKG9aqlq9567 1x567BH9bsrjras3ld3duLmlQC4PwL1upnXuvSyz9nrNXvjc8/b0zpN25t77lTWAhyMzS4c49yA+ yEY4lGoFUtj0bvsohDIAqDiEAQkWhgVk7ftgq0RAdyXaLBhNw7OZFSIz+v0M85dbxu+SK8ktWkMO kPrOJWWQ4xJEwTYuiA/475u1WsT/hU+J3M+ANe6IeQV6rZ/RzJVnCs2KIdBU01cNZIapHVpbDS0H snOXNpIz0yQVkyALjOGjzNC8dArW5nFqkDkXR2i+T4HkoSc1wCD3WnGlTn+x+J2zKweAzic60GFc lkXjz4DVUUSQbMtU2k158Spix1AaPyWZH8RGrEdgLy29d4b6o0+nyGYk/JeB2EA5g+It2whSLaNi 7QoVWGbBgGHurIMAGb0pJoLhdUJNL7IQnwc3RSAwBNJc+gUcrpfH0RrKz0fIe0pWtn7pk1Kfu9xN ZrsUuaMyhaUhHLXawxwjSOjqUmv66dzJWq1pO9f2Ze1EAMcJht4QJQULa6ndVKkT5ULINOLXp1B5 UtjxPd9cGvSzqlYr1+WgLFFCcTR9wqrMU7y7ico1hFaaRxv20l+9ZD/4/j/KEZkSq1AiMy7JTw8p Xw1SZEvkJcI42Fppaj3Ehdmf8KVWS+eF1HC341renDuqmO+88Y6C2sbhDVtbWbXl9pJsxfrDfWWv WFNVqyUrtmpqdHf3d+36jct2eOO43gO/n34iwozbg751wgLDiaZVc94aC4uNh02603MTVQIWC1Kl iwKVTxylGpoOba+DkWzFjmwesdX1NTt6dEPYq/09SruyhikyllWpow6ai9UJsxS5o7mp3kJAieyO +IwWggzSXXTB7+qI5uJzQ+9bvmcOaTh3brFFM8uwQlALEuQW+5rq6Sca4nCNgXtQ/lJAMWoSNT9g JL0dE7wdR4BiY1Cm37uQPhI49F+mc7NgwUP2IHjAPHl5Xvpl9qYi+TKTmc03AtV4diSDMjaVYwQi R3Vx8q6I6cErTunYcaRhFegSKhsCSE3qjaGk1IIPfXh2WU0CJY7HLgW8IE7c3v2YgVD972QsnDuA Tlo3Lk8TlFGFDQtXTzcvqCcorQ2GpyEAOmkbLBjlLIBRJpUuWaySMsPRx4dn9hAJX5ymWlR8Lws6 Xmc3PC3Kcw+7cxq+9GUIVv79LtAnqZTUrN2uW4mJXbcrTz1x67CCSlwR0je0aZDwKYo7SFa9tNq2 Zz7xCTt64qg9+ND9AdrgEZgxfrPdcN18ysLQywxwOb2ZRq2hnRYM1WSIJjuGFS5CRxABZQ6gcnVl 3VbWj9jmoQ37wOOPhY1qpGvGTu6nBQetJYmcQR+VVXpCXSHee5OJ7Q+Htse0EQZFvWGt5bY1K0Wr VUvyChQdJGCLCF4Ept2dm9r56ffRK5OsjoIVckHeX+F719crgkREJ2XUMlVC1iFBJ8oiHDnuAyHX Vwexf+fe0yI9Zvoe4AZ3c8ykl+4MZ4j9p6xHHP6g6EHmyPN6cKM+igt4FlUqQsh2rB/ti/VD7UDD yWvbef93sf1zYNN9xtObNbk5Zsx/v4Ax28m/6GLw0gIO+tZxyjLP1Iak67uPd7DihHEG1gL1Gl87 9jNEvcncPCw0iAOiHECoFgZYJM9WuI48KvTLoLAqXQ2lX0QPzyDqHiJmiLLZLufOPC7RwuJAMrcg xdDxfNMxapPH5n/QK/ef9x0yc7+Rmao7pMhCitI7lvo6/5CWLzysMWCRZjeXlm1pua1mOyUhuJ7o rIux5te//jV76qmn7IknnlA5KNVMnFgQ1pv4wyNgJLw5ldklq1IOgonKHugAWwi1SJyYXdu6YQ8/ +pA9/bGnlJFScibTWXYFKVv3E2yN5H0CoDTIYMMFrFXq1p1O7cbWDSlnElQJqLw3gsGJEydsfW3D HnkEvFZBcAtAsLxuc6lp/QGNW5fn4V7udXv2k9d+KiT9o48+JtmUhD5UqWKVpOjqqCvL1lxqWzrq etkfZFm0nZRK0pDnd7/5xhsqDxk8SIETX0PkaFKX+80khMPP7wx3NJHc2dnVtSXYaoOVa46vl2jM kNmw556FeOTpbYvBJR75tfTzHj7Fv5U3GNdq7CnN5uWzr3OPXBE3BCslMfEcc5S9yUw1hI0cP0ZK yEi2zgQmc/Eh/lkM4OX4ycga8p3LFQD8a9FkynErWSYVReZH/lDHTIcjb9kT39xBGZhen+azHv5c SRZIwfq9IbBz8+F2UcZkxhIl+gO1IMqnnwy4DcdS+bgXIrMGOu68R40u4wNnir/7YEHvwL8/aFfr tdTfIkN0FxwPVHGkS8no/nUqoWKGlBGfZyCXKHAWrx2+hMjA+KKGZO1SzM59dOG9PCCP68wC8kCe CiXN9aeEoVG9vr4qTh78NLIsubUASxiaMgFoJr1eV03mU2fPqOlN2cgxBGckIwkCDQ8U9yGd2zgq ysr67A8KUNeuXRGt5NDhNWVHOLwouEli2afErk3lBgSFSdn644794/e/p+B6ZOOQffazn5Uo34i+ ZrB3ijxCJJj7A3b0grK37hBdMAcglhIIziO7eOmS/e3LX7cf/Nd/tD/5k2U7srlhx5eWbO3IEQnC ufMiGCwI5v6sU96p5FPfsWLVGgOAkm1sHJYQ3/VrV9QPJODreS2XJNvcHzkncTiMWmehSR+UM7l2 s83VhxjjMfLS3pqUkON7nPBNf4FZlhvGun+gYyNjsAoQktsUis7WYODG5ofMcbCkPwBpH4MVgYvg v7u7J4G+RgNl1FsrHIeu+N8X5XEUsPQnwvIXrkUsWaJE8Syqz6D12S/J7bwxzctHznhEPqAyJU28 XLGRgywoCu85GDH7qVxtG34vlVUIuApCsvyiLHMqEEUPcioEAfxOkSuGIOz8QPpaUysrs4oUoIMv nreWfCeUXtJYKlcaMtCfEFihwMixmGFHCGbsohBbZ7tlXLQu3OcZS9S5Dv/RaEAAACAASURBVP05 gWjjVDLIRy9IUOcfaHpJfeRiRk7kpY+139nVIgME+bGPfcyeeOJxu++++5RBCTulBnLBtq5d1fSw Xq8pwyKjIJfb73S8PylPvhhMvRcZ77foMZPUlppNGZryfdffedO2d3m9TZkZcCTVasaAUHCQNKxb hbEJtaoV6/eGduPqNbvw09et19nTuU+n9/juW65IKpi+FngpidRFuhaBbEhjtmhT+gb0skolWz18 xE7de1aZI5Qimt+1jExOH3MqYCakexrgcqyOm6vNU0yYshLYt67f1PtHT0sCfRM4gGim8yxTwrJ5 1NSnicage7smShL3CFE+NLIwTqXH5UOMmVHrQff2oMA1Xciq7gbJfqdDEk0huchnNbE6iplUXJ+z 7CcCRUdZsIoxYbbegx6cvuKMFrIrSNZcA1oTHh9moFMnTQ+lAx+fu/xRVu0fGqCOlYiHA0LdGdl3 e51EbIqFZr12yhDYYnDK18PxpsQ3nw9gTmL2kknN6mhEKlgB9JmFDE3Gpo6Yj7sW9TOL3b3NXJhQ aHCVVlXrDVI12wc03Cdlw/iJbDFNfTFCOHYIwkJKHOAKuiIZENbxO7Ill4KDq3OBjCDlF50gipQV gHnwu4dhVOxaSTHLkCSyXhezU5Db4SaH9HoS9a5DNhZ7WfkNL16faHJAk/jGtWtqwHNAJD514oQb K6ys2Pb2DZWLLB6ZjJawwDoZHlazDmJ4S+1wz6bWai/JNcYzKu/PoF7g7QAPjldvXNcCFpq+UbdD lSMyn6BZKtyd4m7Y7IRfceMCMi7eHZZfnP/TH37Sjp84KgE/wJdoYJE5kuFpgjYaWiNBlpmsxqVd Bp09lZ5AFRjgCOZQrdk9995rn/38izZ64QX1ndQjlOPOllUHdZ0r7twlXgu4Quj7aaMIpPR4L3gP cAYxffjnH//Irrzztj388MN2+NCG5IyrLfpQODiXM932+HyyqK5dv6L3NxotaaOlyX+Qy/FicFks /eaDxTT793uFMCwecyDPHK4q+92B9+fnGySa5M3oz7eqCgJWIOJ7RRZxjc7dda22mYUXf6pVeofw XGe2crFSk7JH6nptbAT5o3wLhH6hdpbbRYziUuSMWjZ+0ZGQiJnUYjBSQBDM3k94sUSMJadke5Hc ULrswUPk2WKSKTUgSJZ514W62PtrlUDa9Mkcr6GfwNmmWFXKPoYzOOW1sOdiagiimJ1xbBWBWMNb n/lUzD0s8fIoPEnbnLrQ09EeGlJl5HaLATjJNwaCMBdd58tVy8HjY5ocprH03ADZ6roJTza7FR5L PaDktcHi/eA9j4MiBNeYrIKgRFZB/4TyBJG4bndP11/yL5Ik6Vur3bStq9dUFp4/f96Onz5lz3/6 U3Zo44jt7OxJ8RINJg9YcerpASuew/rhNXvnnXeyfsShQ2t2fWvL3rhwQfIoqGO6LLXfczX6NUWh B8g1h3UwUaDifMnWvGzYVdan3ym5Ft/0AIxGRVAE3vR3QIdJYgPcjocuI7Oyvm7NWs2uXb4i3S92 bM4DwGoS7OW4tiiUTgl44mT6cwuynkyIrA24C2Ugv+cb3/iG7e3u2mc+8xn79PO/YkuYXUwp7+jF +kKmCY1qA+BXzt97NFFphE2YPo4HXC4hsKDF492C1fQXGLDyGdUtPbGQ5cdgtfh9zhcMFBo9oPnO r1cSbMbAJGJvK6quxGyd68r+xzUSeDRJ3N4sA5kulIQ0fPlBWVjnAo6spiT34OJgPGAxEIl7xE0K E5IohO8RcZZeR4nUPFI9XuBIXaA00LXB8tKZM24JT7CSBUMoxfRdMp7y0MH5iUOIlg+loJ8bludc n8GoYOM+Ts1gsMBCgd4mWIESLysIoLCZpn3HPGU6Pb64Yoks7JNgCaFdLosvD5zj6ci6Q3YFXqEo Ogv0Cnh5HoWBHfAenRTLeYlcgzFrQNLTO3BeZOhzVJiijLJFxjXi4Qd0Gu3Ldb8QRtO0qWQj1BV6 PRklAJjknlH2gW7nNUT5UHN1ZjhKmUI/jIeDjIzFuHHhmN17/wO2vLau5wHMHIFCY/lQ5rgmmWPg OJ8Lr71mg/FAKHUWNqqbTH+wDaOUI/Axsdzc2FAw7e53vCQVNKOgaR7/FmdR78PP0YnIbhFFRsR5 knHREyMI+CPmk2R2+G7X1RCIQuDSCGLj6VQ29Jzb3i666NvyVSwX17zPJMAxWmijIPnsG6U4ekEA zR2VyDYbdvLUcdu56deV9wwHsFjxPqJIHrGMVhaC4kPFzpw5LT0xyko2gGLxsDLfdNxVsHKCvmdk +YAUKwjJMi8Es8IBAS0f6Ba/HgdkMWmIryu2Q7sZ1qqvw4wOJyfyOLnD9GRmSe9yQnwu9GyLM6eq KLAZgRL8DPfLN8AtLXDwfzLGBQgq/OKs/z17j7MYwrMt6zTAzXkv+/lo7j+sTCk0e/Wg5qQjdDJ6 mGcXcXEUmR9XHgR7cIpJgBeglqAGOeA1yrqiAHiOnJ2ppgugGpQ9RePg3EKDnqx+TFNZmRCaVsVM lx31UHpXghfoPO6WgBBQ8DltLOIZryVrMCvZQAmVUxxA8yfFShDX4+a7pVZAnwmoygZAoiF9+HDd Zg8a96RspQAjSEuuNhqvp/cAyawAu07Vq6IXFT31uCauh+2l/OwI8jTZ5fcNCS+6p59+2k7cc1oT OT6nTDdkN35fvW+Fuay0qYK5AK9BQIFqQuDh91IiDro9u3zpqn3r/N+rcf3Uh5605RWXCHb3ZAcd J7WKjSaUFf6cce2krDBJlWWhCkH2xaTPm/e+M0exurFoTJm0flCtiNknny9ZqZIoUyQ6gU7v7u+L tAxKHvgOWW5Uw+ShCm1N3aveYKj3xRCgXv+8eoBkr1wjTWjRX8+CROjtOsxb/+aesECx0vrSl76k a/P5z39e1mFsLjjCzCSlZmuIax0D1y/ymN5hApcdcz3TxZLxVgrOPFsmTN/1uYI2IWeZehblMcQ5 oDAmyngT3OX5akMgQ8l/UaafefAmXnYxIIWUPuKRPNLOmrH5UrCw8GDl5StmJyJRYJVoQadAzfFx ykfMKhn5lzKEr35/6IlELaoxyOWgraW+EKarwvrwdzI0z9Lc1iGksy5MHDSpcmRsb6j5zhqDd3yn AFFFnvXVAZbLEfFTG1DOjlJ3GUbPKkHiFBqSg2on1OmqWkO2qCDmC4WVEft3uqm+/BywWyyIbycq TegpgtNS+aepqbvl8JEdkukcU0L0sGNgE5L5FgJH1FRyOY+NI0et1VyyE2dOC1KQbwR7j9xLTXbk Hs4uY8/y6C/w/d5wjooFrk8FTef11y/Y1176ut13/712bPO4037KNJydtoHiQbHk0AzZuJcdKEiA ITC89pOf2lf+5qviHz755BPalQUkZMcf0h9MF0oq7/QV4kaIqoH02FxFEx5nr7tvnb19yQy3qmT1 TI5nY/vYPNb2WECDC/nmqdVbDbv/3P0hC+xpHZTRts8Wc9ZYyIingi2Xi8qoCPA/+MEPrFZr2FNP PW1Hjx7PlWCzrCqum5jB/iIC1nRBnC8PDbqzt+jMCSfTsspIzkH5N7v8ztvNvaBvvGHNUym0cDZS 6wB3qlt7eAcdM7nk4izDiieyiLeYm+4t4LDCp/SW1ILNgzgD7GDx+xcvonhIEFAnmAZMbZwy1i8q aKFTzucJmPECkFm5ykSUr6PkI5qHLCBM39KcgYV2T/We+JrrNkUytEKYmu4HT2Oy6x4/lzXmAz1U pgvl0ICPqF8f92o3YJeXwCY7LTsvX3P1ihSQRcCJzTU/AyZGf6xiE/2MTw41WRJAdb60JqsiSDio 0RUWIp9P55PdsMiBnB0ELDXMq1UFBJVdIlw7WpeMKhoEiHIycL0o/50NW17lZ7oqzSl9+V6yLMjH mDCQsS0vrSqg8T00zQF2DkdOu+B3Qf6F91iaJDYY7SsAM0mCm/ed73xHGcojjzyk7ASzUZQ2tBkK tzZ308K+4+mWD16cF4oiKFQooAmdvT2pkZaqFSu1m9pYIs7M75Y/+8hfV2o1XZMIyvVvAQuWKOtj 0JE/ZovQP4pRMJ0KNvKRj3xEZTLrhIwYSA7I96wHlKtI8n3C93tMF6qbd82wDnS1CgkNxPEQTJWE lPLBKp9d+XPtJiIORXKdMe9V8Zzyyu/m6sMGwZ9oXVbOJNEXyqO4OJ2c6HLCehsBSKYb+r75AXAQ cfZlzIwGkwkzlRr9K7IuMrraLGBmOBF3TlbuAEw+TNwiDCL7uxKaEBAyXavUs7Ps1J0uFPF7Lt4Y eHy3KRtVombNRZDtTsuRkel0Yn3UPmVKajatMMaGzwg6HukYXmBgqVRE+Y9dOsd4Fxh+luUyJXNJ ae8FjlDfZBQfsldWbKPk5ZLOLfQTHRNDMA6Baq4cn2VY3iODZNp3+on8FwnwY/WC4BTqQcUEtphY ue5NUQIW/Q/s6gd9+jFV6cKT8ZF9EFweeuhhW27TsB7aOnpYTEDHEytVcYK2MBDpZ3bsZEP8gXy9 vLoiY8/Pf+5FySzLqabbU79KDs/QaDCeGHUzKpWe2Uw/LNwf5FMC5kkgz0ZDRgec0+72jrVrGC4A 5KSvGagkEcqCKkTfIR7K1AhUuGUnPojAASgLmAE06Ujw8FyBlw0VBrASAvnNmzvS1cecQxQfDDLU 88ppicXVcYC80ns9DmrDzGVY7+La7j22WWYG4FimuIGiNTNGjj+Qc4/C93LkhHw2NQ1Kao0wTY8t hTu/vzy6QEnAbGefj+jTA2D7sSmddfn1gPiNWtTTyWM5DioJfWJA6VPRexxNIMiydMkqMJBwCZXR xJHpmJ66lIpDDkpzmjsxKMW7FBDp+ncU8ouCfy4SGH9ADfI5u4h4o2aZ5dwFDMEwfpR9lyhA/Iay FRnLohhBlshnxGlE0ylkh9oM+JgKO0aWFZuTfu3mM16Hc9Cz8uZy1LqKPyOLr7CDaZARXIXVuGeC RhqSH/ws4lrKZfVkorV6rdESGbvX9RJQLipMbursirDqPVBGhDeHPPUwYKUZXsDXLw10n7YgAGCR OK5dvaGHFQCrFiMFe4mNCdrUyKbqi40z19+zZ8/a2TP3ZbsrwQOpGB8mjBTAxEXL6vaw0UbMoG6R e1d60MZRumGTVqoMqz8YWGW/K0pSCUt5WVp5W0A816DnRYmqaVeEuIQm9nCI3yKmGgfhovwj6his LQK8W93Xla3insO12NhcnVsr0ZnnTtXJez0WsVUxq4nN+Lv5+TzkIP58Fi/y2VUoBWN5yHPFZshH gLjuouP9ubuRcuaZis+bMGPsnFooUT8quuCE5xqksZcokXg835znAYZUuhiw4tdj8/Cg4McDhBrA kDRfC3IqbSqCVUqpqL6V+8X57C4akM5oALJjivSBCD+IgSqj+TgvT+cXNLKd7sJY0pHki7V6PG79 bBTUi5kLD7K650Hv3bW95WQjqWKfqGKtR4O3wDSm6IJ9Uswc+oSRReBloJOaJdejHoY3mrXDSA2C lHwi9+kIucg/hI6v8veU7yfOUMjzB9+DjRZTnN39jq2szZDaTXo3Te8hRIMF6eQHgKsCYgnJ5KYP B0a8r0RlI6YO9Gug61CSqQza29V5tJaaAlFqm6QRW0jcsFMkBcpQ+nYTIeV5TTI/UPfVZFm6WZSe yCKDg5IzUKBy8TGajWhjCooDiHZArCcYMiSKU0rOiQZ8ddoQlGEq5+fY43SICteCc6NMde1z7lVx NuUeud3a7HmZDwJc89HQS2p+X+R6shmQ5dXqvE45ZIzFWzb395thHdTDWvz3/DG/ocXvXVQT5SDj lqN53LxvqUZm1mMud9Rw09mAjNfGGoGgtzm4bvlEp3xLoMkyoBnKW8EAYjKZFDin8DMIw8CYn9F4 Zv2XGJHz04RbqDpWsv6Q0oAMC3cccih5oghWgW6RV6Ih68jSzxA0aFyHa0S2sojZkHebpHBjtk4a 641udLv4gheWsws9/7f5lNct5fN3k2DpllP01bgJngm6CAV67JhMoNGFKsIEiZmo1lB2+hILL1I0 ROcJdT2Mfvot9N4gIuMTRzbG2ZBh8ZrQqTBF0C4UeogsgggvkWIDjfmMYhVxMuEaIoo3GFu1Xpe6 KgoJIMer3Jt6zVrNuvo0bCqOg3KHoyiHzHvuDftq9vvkEEmVZT2cXFwyIYIPAYLAu7u7Y539XX0v Wkf09JwsDaKfbK8inJR8C4cjvc7ezrb3iZwvFnh8BMqyHVo9ZPsDTB1yASNMc4MBpbcuKMukLTaS pDJ0ovKkbsXRwHp7oNVLllYRMUyCnhCluTSI1HeTznzoZ0UPPXqjZVnDM1BxFL8/ZvEJ8X6p5Glu bGlY4IqvSS5Lmdr2zV2pj/Le1TrQr3f9sNj/ueUoxGHRez8Wk4dbuGlz/8xqglumg7ERDiPgQLm/ 4HQjvX7kiCr0SRngmfqXs5J05kJ+0BFR+LGnVyZN80DjLHVpoIeT9d3bb0Icj0sON2Y0waK9UPZ0 zd/UDHzGaJ4R++LFks6UHHJK1h1MbDit2VTNZJvJmJCxqBScTbmKc2aNLhQGL02qAtKPCj0bf6s+ XR57JqcfFVIxMMtVXoIy96Z2vOhoOMyOmC3eZpoCDEN2WiRxzCPHKv2SwtBKademadeWVmtWKrpF V1Gods7DPRPJrqSiRfCkN6XGvQc8KrlyNZDH0dCaFh1CQiOds0+RyHWFi1HaU0mt1LnsGbHGx1I9 yPPbPZvLK1UmrZqUBehHVZNj1uABkfSvCwRO0MUKT4UymJC50JBWk65QsWGKASeKkeDhgA5QXhWs P+xq8RM0q42GEOOH15Ylw4JxKOeJkSgBqDPoyUW7isY9sIp0ZMO0a9VGydZLyzJ8ePWVH9pff+nL 9uD95+zzn/2c9ToDmygYhR1f1m1+z5zVwTNBwcnGNrZpjY1wbCMypUZiS9XD3oscpfbW6+ft7IP3 a+Nrra2I1N1eW5FxriuvMhxAEy2Ryaw6ZUPea1FGEWTLGUI+Pj0I9XX2NBWbTMGUUZGUbG21bbXq PV4adnYt6Y2s1fK1gxIuixPrNpnazgWPcOShKgsMDX35gKxsEZYQgd4Mi+aP+Z4UGEFejuxSfwhY jo6M5LwDAmlIHOjpGrg5ZHaKQUnUm+5z53mHPpozTGZ9SD3NMRuSndIC7sJPKYj2L6SQixiJfKmY B4/mXy//eYKNIAjiAMbpnfcQmOg4JWWBRxcR4/GmhTIFh9xM5ZNMjUnXNCJRZ1LKPkzwXlFAQM1v K6GBu0j6jIBVD26xHwYVw2E34kPyumnfisWhJSUcZ8yqpaGsugiMCo4RIqHgOXGwbu4BXHz+nL7j iAifnrsLj5sL8b4905EF1EE76NwNi5OE4lwIq6GDRbZHwAMgzK5eTDF5tqTU0FDBqRfR3zGIHYZp qAK2mu3h5WPfMFx3RvsE23YoLwmygCmvX7lqZ86c1TQRg9P9/r6NxmNLap4dkmXUKk0bVof21ltv 2X/6T39hX/3yS5Z+ZmLPfuxZq7dbNk0csuLLLOyws7xAQcDfZ5B2UQ8F3UZX+vCBw75tbGxKe2vt yGFZoh0+dsy2tq4Lv6VdvsC0zzNBZWBhoVOSkusiXaR/6wY6GHTGr5t5GmjSK5UHmu2J3bw5su3t Xb3mxuamrSyvCQAMQZiABwl74Ymw+Y93l2nl1+bs2chn3YuvOcNYaciVEbh94s4Rp/Fzx0LwqTcg z5cyJ5x8mXs35W40V45/pIc1H2zm7X6Iip6Bzeg4+YUwy6zmkarxY/618yh495ajWczu49y8TJIl ypncJvDmTUxp9vp5ezBTqaevu2uMC+G5e7PXhbwHn0AiuscOGfg0uYU8KxOj+YQ3WPIPSzCNxbEZ kGcBs1PKiIEyoloFGRMIt8GDTc9HANGGX6kQR0/jDoL/+TI6f30Xd8xZD2u+PL8dKjoelDfKypKC lWgrBWgC50UmUqqCFwtO17rHATKgBCb8rvjYZv3mTIvH7y3nNxz5vZpM7eJbb9tff/mvpM7wxS/+ kcb9J08et6GY/07G5aDcJNNeXV4R5xE8VskSe/DcOW98F3Po60wFM55DbAyH5zrDSgXcYLguTK2Q t/nJa6/ZXnfX/vd/9+/sd//V79vZ++6zBjLMI/qIQW6bUYmweN7H0vORIIQ4dEwcuK+c8oFnx8Eb QNcuGlkUxTQoFhuCfRC8v//d71sxKdtjjz8qUKn3e8o2CPCP26vr2V0f+d7Vrf2xg5/B2CbKFFa5 NzzmAZ3uGdDtj0i0X4wbP29vTk/G3EQiKmwuvHBcGLE/dRCuI3uDC294sY+1CGBT6i5OEk0cGunO BwRU6PpLIQDyqOTep9DvAZas8k9BKuil6/ucJkPhJW9A7cCkK05UdXZgvFHRnTlOPnIBIog+ZxFU i4AHF+gC4YjeFaXTQJlVtVKwKtkV5TaOzSg4hJcLaytcg2D6mst4Fm/kQWPpeB3z35PvMWRT3AOU NG73OyJrX9zOMYBM/OJCzyIELL/PLjQU5pRZFjVjZGbMSWU09G1oTMcyJE582q1W1oSlP8diTdKK jDg4b6gvMjRNkG92gvQzn3jWTp8+I+lcPtc+tGx97NByDktReFLhKRekZhc4P8ovWtJqWX9nz1bX D9nXv/VN+8bXv6nP/8m//be2eeyoMF+URQiAEPRQj6Df5JAasEVOzqaXFXTngkqrD0BEAPeLrH+T mblpsGc4taRllyZT++53v2uvvfaa/fpnP2Mv/uZv2OoquvBDV66Mm2kh9B6DserdHvnEIVY/73UC mcFowrWkv6xr/S4vE3FoixXY7Z7FxSNuXlmGlecX6U1IScBLxNjd9x+Yn/7dbYSMcPx8wMpbJs1e az6DiC41EW++AC7IdnS029VfUz+KXg8kVzpRvEGXmnD5ZCYazurPiJl6kWHIcEImMz+Vztye/e/h C1lGlIpaoSzLBupVNSpmzapZNeGmcD5YfLrTc3xfWswEae1es3d1UKp8UAodP7c4dV28NweV8IsH YFGuVUcOxTSYI7zBBf0wRYhzs3if9DtiMaHE2PuaWWbNPQmle4q/ISE9oONZd+trK/Zbn3/RPvax j9jmiZO2srYqLBaKDNzb3sCzWQIarwkyvWd9OeOAzfrZ+Qt26fplm5TNWustDTCYVrvfYMDuKJuJ C8PlvTO8m6hcrm1G/61Ub9rmiZY9+oEn7LWfnLdKuWq7Wzu22l6xKoMLAY9TBS0WENeGsh6vAvTH S6Wxsmp3L8pnLrk1o14QoGb6mf7ca6NIJ7bcXrETx4/L2EMZycTFAKU+EdyO8r3xiRDkkaZmd33E NZ0fjGk7PqiHlEGEQtAPiiWQt90BM8hlv8txUMvovRyLz3jZ2dI5WZiFESYj18VfHjMj/shkYaEk POiX5ntX+X7WbFoRvjfAJsh88i3H2bHweybeO5EMhswWSMuxcPJBQjqW05+0sJy6Qw/FWeTCzwRz jTzL3MGWocIPLiVzJU+ATYiLp0nXwEoFbOHN6jWMNjinoZxw1GiPaozh54EuxF0zTmHj9c1f53jt 8tdx8fsWg9fiz+Z3s8WfiTtgvObcb9DlF14/b/c98IAdO3UyPJq3Kk1kWVVOMlfvzWHis98lPp8r SYBZIttCpx9Kz5Gjm8KqgcGiAU0GArdQz154ToTahwtYrkoOptFu2NFTJ2xn66bd2LlhSatqJdyV KjFr4JkKAM4ATcgyqtB2iE1hgkB/PLa1lXXbubFlz3ziOdve2rbNI4ft+pXrcu2hZJNJL9pqLJhi YkVlWJTzzpIQgh+DDp6rqJZLTzNXDuiaEyZjMA8VAlLT9PBeeOEFqcJiHuKtmNSWlto2kKb5bLI7 Ce8ljqHU23yXOHC7KieS7m8B7xwUwMIGL7GBXAByNZLbH/lWxeJzfDdHvgee9bDyJYWrE8xoArHp le2sC3/yaNzFCBoXQT61i5/Pypb8m8j9eJxC5kuN7A37W/G2UCBFU0aibUXAKiUTq5SBAxSt0yOD 8gdrYoD89N1hy/KG4pyue74/F5VPA59Vu0y+JKWRO+lbtcTvM6tRCvL7abJjNc8fTV4XsC1Zv+xW Ha7bpc6L+LYMWpLdn/nXmL2dO6feEvSro0vkmBnKkm++/A0h9ZfX16zabB34czFg0dSWsewiYC30 sXhtGuY49pw6eVJEa0T2gHN0dncUsFBq4CjT86NEZMH2Rg65kDGE90twrxkPx4IKQGu5eu2GssGq 1TW9g/bhJf3k1muZkZNjpuDPzjQpSbWU93nj2lV74YXP2E9++Kpt39iy1374E2vXW9IIqzS8FyNc HTAHnJ9in7PIFAyOJC0H72XFjNOn6/7vrGyIAQtyPwlDoWjHN48rWEViOVnjgZCGOW6rvadjbt2x trNgc+cXmm2AsUICS+XwizT22N71Z98927+rgBUfkPyD7ZMdF7ibNdXmd+l8czd/Qou7fsQEHaSV 5eYMNKy9VyUQaDaJiy4+/L244Ho7O+S0oQY6Dw7efx48qhV3txkOhiK3+kzPeYW+87rssIv9+U4T H4AshCiYLYTMADr1gDm26bijcX6z6nrhJQQF04GwJzT1lUPlY1JA7DtAcdZQv90NjJvCQVnqYs9q MZNa3FAOCl5MpBo1jBIqsuZiUoY+1pmzZw88p8V+lcq/HF1rJi/iH3m9l156yV7++tfVXH/xxReV UfB87XR2rQrWq9lwTuFwqEwr3zOJmKVWUETtdnqi0Qj5jncillHDkqyy9HtVsc+ip08JNcbNWAQu 5+K6/91hzw4fPWmXL7xha+uHLe0NbH31kP3D3/+DLbUadvXkSdsAnlNrCSSHDZUNhlaoznBMbEoA ZtWj4rnKNfwp+fJaUpH+w7riP5y6K4kLME72Azd0ZcWKlaKUV2uN6i34OQuuz+/lODBr59os9qDm Bkvx2XStORcgmCmG3E0fbDE+5M8lPp938xpZwMpnPv5it9advlgiWZWUrQAAIABJREFUXmt+ahXJ kK4ocLCee567FL+uyDlx8u0Qyz4a+rJDclUFHjShmsOAOpYaWXblMHbXjhjLZc6a9aLVGxUrFzC5 7Ktv0awkNiJw6aaPbTryzEoaV4zwi45F4fe5JlK0GwrEWj0rIaColPeemRtLjG21VbVqaWBJkSkY 5QFaXVIkdIEzqaTGPlgIOH6lHXobeoZ5WZ78LniQimu86YsPRZYlz27uLajpxbKe14c6c+zQEdsb ju1Tn/qUnT55yk7dc48Lqel1kMKBtwdFxk1YZXqaVEQ12d7eckxVoyFkeiS6EiC2+h0bDLG8YvPi 52mm+1RNgm2VxPoD1zriSEruVkMgEJG64oJ+BFY9S4FnW6qUbe3wuo11P80uXrwsGRoEAzWxm2Bi MQjPm/ew9HdkYQY9NbRrNUjaR+zVV39oZ46ftCn0kYQeWl9BGxS8zGGfqlh7dU1a8jjvNKZLGgZw /crlqpQjsjWQdylHTUIbv/eOYkD1r/szNBpNrJI0bL+zl1UiZI2NsvcQeQ0UIzq9ru3t7aiULiZV SQq57yG+k7df7HlRgoiyzz8nTtb3XjWfh6HAzwC78DXNOkSHH5aAxwo2Fu7LOEFnP0z8Az3slopt IZHJP9+Lz/Htzn8Wm5A0X4i6i6lbdF7OCrFbelW3LrL8a8TG+kGN4dmbiBrmPrWbBl2sWIrNY9ty 5NCAZs6s4WmQq/MluwlvurOziu3jQmFkV8MJho90maAVoUwaIBfCMNC1dfionx/gTBqlIOMd+Ml9 Q4kBzFK1PLAKuj5yeZ6qn8JHgSy1m95a4y/QRW+57vmNYe5KHzBtWTwWr3P+fh1U0hNkMDBFewqq C6qfcl1GBx2bq25PAR3tc16XQMTXBXrc2RbIU6oGlYpsveh/8T2M5tWgrtUCbOGk3XPqtN1z3312 8c03VSY++sRjNpgAm3EKjFuOpWqyawMJAn8Yq9ZrLi1MqUoA5GDBDvoT4ZiwsOdn9T5GI0EhVlfr CnQ8w/AG93p7VgkUGNdq8gluvdbQ75A79ii1RmvJTpw6KXI0ZHPOtVyv2saJk3Z4uS0ny3QALags YK2ecwjjsDQUHGKTOlik5e9xUITgoEm/srpq58+/aa+++oquASUzSqaNdksN+I4oPGNrN92zMR05 cwH9sfGAJ/jO/aDFZ+SWioihCk7o3Z4HKsw8tGY9kLlYJJbxRRv26aeFsjAIOTJ0mODJ+R6C0Ps5 5iSSD/o407ma7/LnIykfZzKw8wErr6SYfzNZShhIvItf898RPNzyQ4usbAsjXo2OQ5qv7/OpnH/0 qIfDCRQZqDLl4shKKX5qXp5RvNFQJa2XjCDnJVUFn+xJBKMAZMGBn0mZRVuySlKyerls1anJjtUV JDS2zCaCwpJlTdIIG5m/AYtZVf665+9F/vsXM7LFe7JYei/+bP5gQbv2kwed+uqqHZWV+0ALmN7O AP2p3A5JsEI7fnvrhjU1TfRJFqP5v3v5GyL5Pvfcc+rJHN3YtJOnT9vG0aMahEA6/urXXpKY3b/8 /d+1T/6L531z4ZpJ672oMo9GtwYCvJ9S0XZ2tkUPoumeTBNJd6PqQCYVy0d4aWQIZAdkAcg+8x4e ePA+W1pe9vMHjFn1Rj0kaxZlu9lUkLt4+ZK1KmjCn7HPvPhZ6+3vSRP++tYNe+ONC5KjWStt6neP CwVrL63YqBx/v4su0mOLTIpsM84AmvEBmG1G71y+ZF97+evCpB07tmlPPvmkHT9+VD+LyinnitAf mVspwS16bNViWWU8JWOc4t/uWLzni2sU5VqutZfekOWrmnprSFJxn0oqnVajPde0lxQ3GWzVtezy E///pgHrlod+YfFE8nJEDMc3HN80UrL5bGAxM8gvnIMyB30uCAPOiNXoVHlP6Y5vPfaYBNgL1CL9 gC8Adn6wUnSvoEQkFedoFSWVQlBya/l0mliBnT4DpXqWJB0r+lDiBHpDXyjlMsTNiVUhMcPvizrz LDpxLvmZ8P5DehhQYLk3NDdyzK7F4p/FAH+7pnz+3sSv5bWGFjejuJFA+oXX16rWbevyVfvnV17R Yjh05Ijt93seCMTxdG6EK0XMzqdScyoQr8viqbeakpYhU0MTiwY5uzbZEGN7AiGZBZkQgEkWN3Qa GRmoPKppPV+7clUTS7SwNo8fUxlKJkizneAwINgEMCv8RZfa9VL00KHDdvXyFfvLv/xL+9GPfmRf +MIX7OPPPqN7D5Je11WyM1Pr7nVsb2fXvv/Gz+yvv/wlO3r4kH3hd37LTp+9R047nMdWZ1cN/+St NxQ0Wu1lgUprlcT2up0wLHAF2bjJzlDu+UmSizBKmy2SitlQK4m1lpfs0OENO3TksLWXV1wiekiV 4FphlLmFdGJNSTtPbDpCZsdLvLuBMhz0fLHg2CAEHEZ8kv02nbqkUDqxSr1h5XpT/x6MuipLWV/w S7kfDFSGDERwZA4979gayj9rv8jjlpJw8TionxWPxSwgv8AWA16+wZb/qEH0bRpvsYk7f0xuDVri xjjtIaLWNQWi6YmRZxH0ucvUwC2DdoIFVxFbrgH69XDCgvBgOB9IxeXyVGoEBC1kWhImgAUgE2RQ SMg4fCGzr3I8uINKAwp7Tp5GCd9CQA+lzy0PU+765/++2Os68JrFK5UTUozXOz8U8YBTl378/t6e xPL+4j/8P5Iz/pe/93v6frIp10h0E1QWEsGnXq1q/C+Z54m7T6+ur9rZ+89aq9GU840z8yfW63at 3qpLkpjXfOa5Z6zRrNuDDz0gwwzhrfCtG1NUFaQa8a1v/p0CzuOPP26/+du/Zfc9eL8yKmmCqQyb VQbqhYUeKwswKh8wxdrbw4CDsmpk5XLdZZnhKga3F3YsAuGbF35mr776qt08umFPX7po9589o0lz Y6Vtx0+ftErDNbB2t28qoEOS3rt+3caoy8pTw3tVeebHnKBnJC5l8ty+ha2srtsTTz5la4cP2bGN TRl3CFyblHTtyRS5Pj9+9TWV4g+ee0Dvszcc6fOIH95NPnPQs6VnZJxaP+1oo65W4En6PUJXTeob IXFAkUPP0qQgd6TO7p6GBnSZJzmsZdwo/1tlWRms4XbHrAc1Wyx5TAc4rIN6JgdNEfJvQm9eExbH zWgR5RC8sYd154M5o08D/efDzzJqF6/LA5jrFQFghMhaUDCiBCwFgvQI1C5uNcJMIalTtBqTTeSO KRUhNBexcgKIT8bGDhQ0fYIme2zKR6sjRwEvwDz0vhZv5J1xVosZ1WJ6n99IFpvrBzETFjMyBQA8 +vpDZT0XLlywk8dPCO6QIA9MMFbTOvJJKatdoqXcbjmGCkZ+wdQQdhnjkf4dMzz6QBHXR/Ag8wK1 jnRwp7+nTBaCdDqcWK3EoikrIJLhLLfbCkKF+AyC1SKbKTPVpKnuUji8T84Jwvf+Xlf6UxiyEvDQ 5OK84mCHo7Pfsf2dfasUayJW44pNBnb48LoCKUFtf9Cz9nJTWSTB8tI7F+3alSvKbsgga622bN/Q KLdhNPlgsbrWffTynF3z2NyI97lg129uKWM5fuKEra6sWFKru7lw0RvclMWvv/bP9r/9L/+r7uP/ /D/9jzLGZQjGe4UlcKdj8X7PZe7CLZbUv6pVqrruvU5XpTelsM5RJPup+mXvvPWWGsqnTp92uhUs gMSf+zi8u1274hcasBaP+UURs6FbJ02LJ3UQOO0gTfe5acFC2uwLP3eRb/u+cz+jDOtgWhCZkdg/ aHZhdhrQ5RKLKFSsVC2JRQ9JicpONlQls4p6E3ya3hXlJUapUH6gYLiZgXsg+iQtg9kEKsVEjtAH N9zzfyveJqtavL6361cdVPbl70W+R3nQwcKsLCU2qQztox/9qBbj2TP3KovSoKKcGMI44KXSuIMi JCj8kFmjVbdGq6VABF2GXZ9CXRO+Vlu/Y5XMSK0b505SEoIWZ7Nh8qQp1tghIJwvGcyHn3zKNo8c tVOnTkk/iwDaH/WtlBTVIPeJVl8BRz2YAVO6YAXW69ny0pI9/PCjdubMGSc4D7E/G+rnOddLV65Y Z7dj6+1V2zi8IUVQekfNpaa1V5u2ffOmjQdT2+nu2xTrrnLRGs2avXPtbdu6elWctvtPnLBRd8f9 J0dOv/LAOoNQ/L/dfWmPbNd13a471NzD6zfwPVKkOIgSSVmyZsMwJUhANFmynXyIBSUCggBBbCSI vxiBf09gG7AjO0igfDHgL45jxUZoybYYUbQokZZIcXiv5+4abtWtCtbaZ9976vStoaf3mjoP/bq7 uuqO5+6zh7XXmjIyVGM/c38RFjrR2hFpejLZsLkfq+K1VktVnxE5oxaUgDIN12CcwS+GVqHTGCx/ fuHBwOKDBQH3bWdnR/7XX/wFc3Sf+sQvyaPvfUwS6l0O5fsvvyS//4d/wFDw6//6X3GONBptUlrj YlhF2woni4Dk5xkQZVMPx/3TMystpMn/kJaOJH520nYVHMEeG0/R7mBMmMBXgcMbyGXIKJXaZdZo o+rHKi5hTAhKlFCKPZSGqUSi64f1fWRC0OaJgt6DK5sDu8L4FO6q4yAyLAxK9aDxIAFcosaR1OtU bsbP4LEChxYAogj9Sklu5K0A/MMKi6pmiR7GlmNSxkyQQKYo6glna+6Yl6taxb23v/mfCxeK8DMI BzHJesfHbHtBHxsqUDt7+2R17bQaEkFEFUIbjvuIkxG0NuOR3Lu7T48J+o5K6BfJuBbJcaaEd0jM ovq1v7fHxev6tWvkSEKqwOYEDpc836BUyXLpDfuyvrkhH7t1m8d2xNxJLM1WVwbZQPoH4JDHjU1k lA3l2kZXDocZua3SeqLAVMd0iaFyVLoPGC9UFEFznG4ksrW5KS2GqhMWW3qDYxntoIqcy7Xrmzz+ KURc17fIdvrma2/IC//3b+XeG2/R2N95+r0sSsCYk9CRkYXTEaDuZNlWpikOXdCs+g2j1D/Yl2FP rwnTGKCykSGNEzoDfuG5D8rv/u5/ppG6dWOL8JI15K/g8s/0Rq7mYSnltj7E1ukizba8/vo/yDf/ 5L8x1wg4x51HHlamUFSC6ykNGs4JvyOXB278GprmMc+pgA5BD7aIKztwQUuuo2yTLiMpX0NilZFA HVkfdBd3Iiwik6cC3pTxT0n60UcEXBHjceKLELsiitV8AQQ9UXnBduJxJAm5qFRowig3il48NJRK Tbb3joGg4ntQHuU7HMQBQg2mMsx2PCIUFfipjPJDmeZHxEDRA+QChVwLch1ou8icUKqS5adO+BCb YS4cCfNo6BpMPaNCnins0q6qkQZiB9A3VOkxnQTaw6bhQNl+o2gvbWymBuGckE89f70uKgxbous1 L+pAjic+r+8HZYe9pvQvunOEtfhS91x19my/BfDPld1R2Wp3OxSthaXeOTqQCFWvBKpE4PFS/isw EdD48zJOpQZvB3dhf4dkgIB69A72pZaksgHql1zvHx5EGC14ZYBCNGFUiORGRQ/itmBmyCRCoreu hJAQv4CWJB7keqPFJWnYG8o0qkuntc7jztDFMJrIi9/5O3nkkUcYkiKsZcV6PJUmKl64fmhCR0Jg MpZBH/2KitaGkUZ4PxgdSiNtSmetRSNL3vxoqnoGXHydMQYVtEzlRz98WX726qvy5BOPyq1HrvMe gA9rSjFcGC/lj8Ln2CjtpPIiQ8qD8wpeTb0lgybUrDckmozk3ttvyBRA1us3OF9aAMXWG8zDvec9 jxGSgWJB2mzLQTZG8xcpuSHsUVBkO51Q5Aa1cgrvENdbE/SkdSJBJFIpqudZrzdkdNSTxx5/Qr7w xS/L22+/Lc998EP03g52d+XWnTty5+GH5bd++7d5HwFZAaQDUnb5eCwvv/gyQ9ouGrbHI+m01qQ3 6lNIWOel2hbkd8HYwXYiJ1rrR0rzvEH/e8IY1YVJliSm1r2LcZSPCd4Ess+O5YAocQALQGWMBxg4 DQhIqEIvblbE6lnMCpRyL8BIoXqnCXKsJLk03HaMmtaDAbhjZ47KXVzIm9MjNHI25r5ySWqQrIgU uEnUO34DrAErkJod368oJONJH8NOw6WWXS+YMZ+Gns0cag4/H7fS9s825n2WIXFa9nr6uQWGdqQl dh6ZVX2dR6gG1nE6OeoeAnhZB3G5QbSUg0KbwiHWoAsjBzJCB7gFkyj76mKZxHovUXWEkjfmEqp2 YPKMWiitq6eC1RrL1Aiag8iRgmKZ7Czw2nX+Ied2fHAk/+ObfyrvvPmWfOoTn2QlEF4IaeMyFVwF nxUe4N2DPZ731o3rfECPDo40tweDj57ACLPUPHCX8wMV8hQGoikJewanDB2h/AzSv4dv35b+wZ7E LVXQqcXQWNQFjkK9FPOA266UPNZGBa9KG8py2dxcp+eaDweyC7bYcSYZVIgawIY12F6GcxpmY+nB GwarBfjNcXgNbEernkbaCO9IK7Ypjcubb+4SXmJQBLL0UqlaCEnp7fdlkMEDzWRr64Z8/ktfJCj1 ifc9RSMNIVoUVYALe+r9TxdGEXYCKP5XXnpF/vgP/ki2Hrohv/4v/rk88ez76Er1doa6SDp5e6ZT SLqp1WbASghKdWBgN5P9We3maZBiEjAq0oBoc2MZa8MeIvZGLxcURUBpC29KqTXoUU1iKizTAYRE Vw5eb9gS1SMDb86Q0vNOCMAZKv5Ig4WbhhjcJZA4HO2LO3ZaYdLBqGeFkE2fOWVoQK4JCfEULT5g HkWbBOWwYLo0DPTNS4Wi16kMwmUkE5dt36/she+bFzaGYYCPh/Ob11Eu5/twzzjpDUeEC6Urt/Hj FxkDLmLaaBzBoGDxcPknpAT42BOOpvi8GHzw8MjjnMrLKH3Q3EVaRaRobK3UYKQkFxSt0VNXdEro OaiyttIdozH4nXvvyOtvviGPvfOoZPlIrndU5AF4rKSeyDAbqIx9plJd9QZEYsfSOz4qEs1kvw2v mfNC0doFVDs45nG9Hnn8Mfl864tydHBAo4CHuz0BMWEqKaXoUaAoSS9V7VvNPRdyUlNr2gIgWCT6 YViB0meE4DjKdrf3eP5sEr91i+8bg1ED3mKkwiP0ogHczEFppNU9UkgzaTuVvZ1dmYzBTityb+cu jRmAqa1WW3q9I1ZHYXyQdIcqNQoTDz/xhGzu7mqaoNfjtXjttdeY48JnCeyFZ4r5M1agLnBqUUO9 ddOwRHURedCDo4M5k97SPfPRCXovZjs9UEtWJWVcVoZPoGBxrj82yBwPQsC6QGN3MoEXpbJPMFhH fZvceCDgealxUUXnmhwPdQWgEQK1LLwst4Lp+y1Mm1V3KY8cLTwW6Sq3Npt3iCxHiwDyULHUAUHA qgPYAY8IHpZxtocjUFaZ4yHNu4izF7R2KcZqHtbqtMdjtC4+ds43WlSrKfZlLSRA9SOp50JMu05B pVE9sURVrUlH7IRAnD4kvkBwhy+gzaN8RJVsVPd0u8Dg1Yt2EKVd0YQtDBaPjzkWGEwlxlOvWiQF QWK7Kf/si1+QH/7gZYaE8MxgFCgS4Tjz8fAAPPqd73yHoQ4kw+BxICy7fn2DOS8sdLwusDQeiSS9 CKy7KNPDuExE1poteejxR2Vtd192d7fp6dX6NVYtW3DWmmjEjmVCY4XUCoo6mvtjQnqUy37vgEYE YdU0G2ozd7MlyfWY5/v6P/1EvvPCd6kW/dnPflbaHYh2dJQ6GS1P8NYoKgousVLowRRmtAdTVY/w GvBsf/Xtv2QO6nOf+xyrpji/LAO7a4MA229/+9t8HQrgBIUiB5nn8uKLL8r3vvc9hoGf/vSn6R1i TsGASTKR5z70Qfna174m61tKskhJ+UkunS483VwaaUNhQyQUc7Q07h7SM9cOvRPFOEuDGEqB85Xt eoiEyXWFP1tpEskzMIFiFVSvCsYFfFIQO0UFF7kq/JxjleTkU6UYeGMkK3NpcHBi64EQTudS+9ZS 7FSba6FyrDUiE0MLsAiJ8Cz3BZgBMDIAcnbqgBwoEV7CZmN4Z0rpQoEAfbROUMmeJhG+yLBc1Fi0 /dAYLUrIhwbOf29ozPC6Av5QRHDgUGWKUg9IrY++2RUx7Get8EYaAnHBVPoeel2oPLn7Wq8D+wRK FmB4Em3zcfkL3i/yXelK34bgRYY+QG1tKgHHkav2Iowduq59kfWNrnzkY79IeATeu7O/w4cEK3vk 8FEQyPjxj1+RF/7mr9mIfePaprznzm2pdzqysb5GnB0mgn8V/dI/wi828EMgAsrkKuYmcashzXFH esMjVjj7R8f8bBuwjCZyZwgAxpK6KhsS5DjHbDiS7Z0d5n6Avgfo1Ywl87WofmZD+cnr/yTf+bu/ lQ/94i+wFWljc40elRr0qSuGgb8MuEAoCU2kP0LPprbNoJi03t2ghiAqni+/9AMa7Kefep88+fgT /DuuETwy4M/+7M/+jD9/+MMfdj2MmhMDewf6KmGkYPhNeBeG8GB3T7bu3JFf+czzzG821zpSy3rS QKTTTOTe7j01sIC7mRQgKVCsqIRIC1FTGQX4C6uhDDQnl7HIk7DQ4HIWJDljkhFuLcrPkHnHJEs5 0SgfDyM1rlHlBi4/8wvweHAswOgwB4LJOaYnRpfVmSbmLlBDMEmsIslTMir67Jv4mVzopL1B2jWT JMpprFpoj4kn0iL8gFkwZyJhrMDhilWnKjflVxstpzM9s2G5SA+ravuL3lv1Wng8VWwcvppRg0Ke inMik0RBOzwLfA33zAlHIQ8VkeU70FwMgjd4U/SIEG6ZPJybkAjpcnTMKswBYRnwPJAEwzbgFeAz 3fW1AoAIT4TN01DtIXRBGUCA9AY6e/PGpgx6QzYH48FA7giIfIS74LSCQQMeC2HQsx94Rm4/dJMR Qr2OOadtNP71s6q3GXQYHHC3w+gASoGHDnCMZrcjG6MNGfTR4J3JFMdOhWuEv6B20C4INeNlSwzx aNlQar1j5o0wCjmsep0Yr2effZa/wxvkokLsYMQH11qRWJVDnsk1QfeGAzal474Oej2Fj9RTbu+X P/XLNOiPP/qYei1jmHaVHYP3BEMFfBfwa6TIdikEeF0wtFbUgLHC8SNMBND4yUefoGfVWetKjMJE mvI4JqMpNSCJUUMIy7SBhvikI6I6EBaEZgEDgbFVKnYlW1AOfFwzNFbrAppQztyX8iHJHdBHqUyk Ib0BRdUln0TU1sN3Mjai8oeWFTAo0vvBegvVEoRqShELhLj6Wi5HQv0C9ZKKKRKTDNmt3m7iOxPH 0I8gOgQSuaREnEP+qSbNZCT1GOZ0KAn5pzRJTOtN0mmn+mNls2Ccxrt6kF6Wn7+aVzlZNKqgDCfy WswHmifm3HW30pm77rj6dFmY0SpAkzcSqshDuQfJNdAS3Giy5qBRQT6LjAxaeVOp+URa9ZZk/ZH8 6Mc/lB+99ipJ8yBNT+Q680vwrGDh0Gng7jNwcMxxTomix4MEIRIamBGauY/olR1FB3Jta0O+/KUv cAFDuR7bGbtkdehZqfeo80bpoTWsHjt64P4oYyI8RfUPYrFoowGv1XhfRoOR9KIez7uOhupENRQb kGUH3GOcsaK3ef2ayMG+9Pp9hmnwhKwhG8ePnNXHP/VJefLp97EvEjkvhHg1TnJI3ynGHHJZKAbA u/vxKz9i68xzzzzLii8AoFhM2vUtuXPrIdn67OfI6IouBDyIqKBTgKRZl0/+0qdIB40cFUJp8JSR qUNEPvrxj8mT73uKCXxi7HBN8qn8+LVX5c///M/lqcefkt/8zd+UzmaXdD/xNKWnlgoUwpFPROuV kRhobltrtg5a5KqXfJXcceV3c2RwPdHjSENtLQzqVcEsxDKeIi/RoNEajBRbNWKS3ZJlIOrUHkB4 ORqQK091mmr8SaMGbUG4ZPp4OcBc+aCpYJAJoMIdRu5EbxwNnEusxxHks8bSSMaSpuD5nlDcgQwJ +cCxWlqY6ZgbnDpKCRgLx9mBbZdhrM66ff+9Vd5eFQ6rFANBA3Cm7r/lqrzwkXNj5pEOOxdQuXUE hawk51ykVI8RE8/1ssF7wN1mYlixbqi44UEn0+g4Z7jyV//7/8h3v/ddsjugERgrOxR9kGBXCAgS +GpIFTk/lChtSgtspDE0BYEngLcyJNYrr8cymAzYhgUaYnheKPczfUCvZSrzdDzNw2LxyO2TKY4I eC4AjqG205NuG3CNTJLeccHnBS8DhH5JHcn6XBrNBlV64IUBl3j95g0ai/39A4apyEUh4Y1h1Mgw EAi7cLzYLkGvMZ58JOlROIB6dU/W2h35p1dfk29961tMgDe+Vqe3ZO1J5rkZE4PxjWEbMPLbCOu2 tuiF4TPwJnH8yKvBmGLAg8O+lfkioeHCsQEoPBhlcvP2QwT3vvnO27KebmjHwXTMJD/2QapwrgIJ k/EqDqzKVRm8ILvmTIpqkcAq96rSrhXXBP+GIwR0+EuTicMobsk0r0tvCGxMLtkIIZ8GXJSmp3+r mCelAQYB3ISgPyDA0QJDlWCySEbaEe8SuhqGeChsxOuoUpnUNVVulEdJObrhncFQga8np6FqJDBI oLnAvpF4BEiTj6a2kfBcND52j7Huf2UTMH9UtbdUGYwqjyZMeBcQgzkUMf7P4XarPKzwOELWDP99 RoHN3BW9KWXfNEl48lmxMluTbADNvC5Xb+C0MJkpxQWEPBDm+YBGBMoxcDmQY5jmfRmA2JCQh6n0 9nf1gUHbDvQGEdYgpwVqYaz2ec4mZwBQb1zbkq2NTeVcarWoX4jWGMp+JRpOQWDWsGawikoyCvR3 m6BLJOQfec8dMoOuddZcgleJFMl5Bq+JfYRGa+QDdkvBXN4vekiaK8IATAKfQNsOwJTQKmy02rK+ qRJy4NB68403pHt4TKQ4cmBMNiM9AhwbWnnG8AQj2dq6Jm++9jNJaylbYWAYjnqHmtTuQsIIH3U9 fLxRIikcihH43mqyttaVbqsjx8d9uXt3u+Cmg1Ea9DWZT+9ovO+3AAAgAElEQVS0kJaHU2EtWSK9 HkRwW3IMkQ8IItNhnjBs3z86JKSETK1ggEWkg86HKCKQ9/GnnpTf+73fIzPHKM/k8BAK4usONK5V UDybCPcJ4EZum9GUTnkCbdnzGyhGn8g9zP6aDKCrh7wDJxqEJiMZjCbSG6IjHlkxcH576oBO+l3Z DEbSbUyknUIRRSc6cw4RKnSa3SebqJNfMoZPeGfAv0C0Ms6w9kLl2JXUWbWy+EOR1kmcU42GAFEK kg5FQD9s4aY7MSu9nzjnIncclK8vxIw9WK8shDvYvlatYuJhYNg2VjESrJ4ka0QlGMKfBIsqlzdC fVVRxmfAENqTBJ6SIyns9Q5lNOgzxEGy8823fiaddlfW2hCTRfsMwqVIWg2lMzk47kmC4k4uZHj4 led/WZ559v1sAEb1CgbHdPlQWUQ6whSRUXmi8ZKhE5zQ80TIhQ4GPCzTKehp3DVxay3buBiCmGcf 8q2VHGzz7pglGTD7wEF/uLfLRRwG4uWXXmKotHXthvzGb/wGsUs1YAc59ZSfDcfHtht4Do/GcnRw TE8L16aJ/k02eejCwo6A4vgmhSHFQZLhLc/lA88+I9/4xjcYAv7CB5+TRqvJsIzVUifuzHSxczTU dmtXRgGOnjMMO+aDjjEnGB5uKdAY+TWyX8CTc7lNJcP0O1X4aY9j/6RG5iojyZEABbiQqjKQ0Ybr ipIngHtoAAa2FwfiaIGpTqMVHigcd5lPUgBnjo4zknrpBKK1dhQw1HPDShNpfiNGSTaOpAE0tVN2 xQMCMJo9cJhU3TbT9BJDTRm8VLVMIlLBaLOp4ras0ugPvSGEXHjG6rTUsg96VHltYU7LRnHdKlgz /L+X2yg5umEc2IuHPBGMkBNwwEIGojuVUoVXplg9PAgQhYC6NXrtkCxGyEewYD6SH//wFXJeYfH5 yle+LM8885z0B0NN9LMVpiab613JM4A8tTcTCG94WmhuRviB6hHAkwyJgDrHflua1I5RsZ7AO1cQ JFZqPzdnLLHW08bHqCggYCF182MOhZEZrUXmHp/P2LI0lXqjKc2mwnl2tveQySDOCU3DVMZsqHo2 ngkwHkCXEOo8x9uH8u2//LZs720TNvCxT3xU6apdyww8Ud4vOuMTd+8UcAl3Cdeps3ZNPvSLH2ay G8nt3sGhitBNJ9IAdbMx5brKbhl8IEybzxt/4nw91WhyijnIgaIC1HUyVD8GntzwwSxVqU5nqGwk Ub1DhO60hng7kQEM1jiSHElUGCtUAo3DvJZJCmR5opO6AUI7IGtYlcPc0b4+THZVVMHrZpldraQG XJBj5ZRI6ihdOnc9x3uQy+fkcxj4GmAXKLtjJQWlSymTTQ54k2+CF2gT0GAUxHdNKxPtRS/Tgj6s ixjLw8fTb2uZt+Ybs3lhof4N4YVKlVkFapgpiVu31ZAGWC2noIcZcNXGg8lwLgXYF4ovQK/n0usD NQ55elBjq1EEEPHFF7/Pfjhge556SitPeA/+jtxHsxkzhMSDDo+A+aUkll5fPQt6e056HqP0ONQY IczA3w1yoa1fqv+nLBrwDlyvHR4Qilfq76hY2w2YuULeL6xvVlxqHxKDlAaqhZyLo7E8/fTT5N+C hwEk+eC4J/CZUI2FIYZcGJqdXXqZ5/Tyyy/LK6/8I8OrZ577AM8P+DjTiTT2zynnuQPuMmUCmKSD NiC/N1ZKGoTi7c2Nci54pzHD2L6C1+9LgtmXeV2AMvjziQbN6dgt9OzPaKwwEkm6xEKN81gGo5r0 R+pZQYAUuajhuM8bjHAM+muNBKybOZPtqNKhX8wUgLG6as5cm5xp6BzfExc9HqeKXU4Q+oHSxZL4 RLE6w4ZJai0SE6zqECrV5L72OWISq0oJa1zOkypcfPO4YLCMwvnERbo/rlaVF3SWbSzqszrNe8PP WF4RTcdYnFCKbjRaXHCwer/8w1fo+b7/mQ9Iq7NGOACof4mXiqay3u3I4fEh+dCBUIdIQ7uRyONP Pi1f+tWvEFbwvvc/S38YhZt2sy2DQV/egReS78itreusXGFuNBH+O/YGaYKFQWW+0NozATUzEu3I iU7GBTBUz8fAYNo3qQBYNVxkM3BPbMGeMbNIBWmCFW6PTXH2pE5r0uh2SZkMgVdQKz/2yHtk5+49 Ku/0QPfMFqBYGnFbGrEVDMD2MZVHH35Enn/+eRYZ4F3CcCNpjdwSwy3Xn2owkprV1J18Gnsyc1wP LDBt5obYSxkBgtGX1CkS2TAv7TSDx2/YNNeLWORJXduRHt/sdZxNV8zhvDtl8SvJJrGAkCAbAbCG FSyRnLS0uBv6JhwTaIQgUdighNZYkngkKcB9mTYxE8yGVa9o+3UUGo4uuLTU6j4iX4UHpVXQY2gC dEpcjDZgw9iBHcEYPcseQMTiKpSJ8rS6+5pD1fDQDGGpp+dspbcddzPum+k6aTR0Epx9e4bp8be5 KOlehdlqtlrEPhHciN87UGNuyN233paf/vR1+S+//4fESH3lq1+V9z+rmJx2o80KXT6cSq+eS9xo SbvVZZjfOziSLBd5+JH3yld/7bZ6Yq2mHB0dyMHxQA57fSZtIfQAnnLFaaGlRz0n0P6SHubaemGQ tCXHyX+5wgA4zZhfc5zqrCoZzatCvDQo8fTZYFyMaM2MFyW/fM87+F65wNi0Yg/lVAb5SIVQIEGP qhjmdaslQ3yBYdXRJePhTlt1VsoYOjvywV/90pflEKyme7s8f3BvXWteY6sSrwEdSKXe1jqNqUtp Lyfwacb0iWsDo2f00icLM7O/LxOt8cVKrLpcUMcgb+UyLiG3fJU830WMBLkqqN+O0BM4wcVB/31K 0nkkNlHZAP4J7n8dnhU8LCjEyIDXEARqaEgGULOQeyfoSwUiqBLGfIFib1wjIU+Ie4JIpUM2U8mG F0ChCUro5zw0riyufw2QB4aASGLCyBnwVBOhJjJZeP0zc84JV9wnK2WT5jTYqapt+N/9PFVVgt3P 5VRP2nIo4aCCPDVHoYlWPFCo8JLI7uhI9vcPZWdnT+WoarEcHBxSPu0wq0m70yCQGKEOkHGDAQgB j5m8PzjQhDQGajjZaCjZeCprm7fk1taGNDBHwJo5HpEb6tt/89fy+uuvyyc+9Uk2GmN/PB8CCpX6 R6mCEJppM30ZMnpiJ357jZ23Ow7Lu+gv87seGEEuCAnRbQKPBnAFdFagz5FdIk6tB3z2SKaDYvgY PXVpTdrxOoBoKuIAkY0+PKo1Wd9cY3gHhDs+g4ww1HIUTuGeAynumh4XMI2JkOsLhhGJ/LTRlBq8 0nrCIgDunTtql2vy5uEKNsWQ5qYQH1atsdCoQWX50WM8kcrIpkxpVQWqKxzPIMcqnchogngZCU3N T9ADyqFmDNUMYX9UPU4ljjCBlLkTs6aOZkyAU9iRqi0+Gp1r1QCEHARfKTHADOQe5zgCEI99i9pj yKQkjBBxVa4CpZ1YNFKam1BaDLyXdcLpnISpe52FoSuQbK9GpZ/vwHyDVW7TJccMtV2xF96Hqcjh nrZbgFXDJiY0/gAihHLO7zzyO/L9H7wk73vq/aSNOTja58N0b3ePRH7Xb13jXNnfOWRYCW8MD+Pu UZ8rPQwf7nFnbV2u37wum9fWFSwYR+SyAhwCPaD0wvo9efH7L8kLL7wgm1vXyRjgM3YUCXV33too DTgNcpzkLS29e1caJmMHc1kO58f5kmvv6hIQsc0hM1BVhg3zmIwYopVWwBxw6cnz3mzJ2nDAlhbQ 58To7UPPIJPHMcPk9ua63NvGPYjl2vUtgi9hsPfuRtJ99GHyuFsbm7hbi/wbjB2ux09++Irs7h3w WgCNjq8RaH4G/SA9gAyw+kIMC5kb0w6RmRDZ+LWcoTH5L5/22P+uOTJHium+697MKPqq236L3Nnm fXI4wsIDRoa2TKepAB2KClwcgasI1R+F8WfoSMjgaYHMC4l6eMB9iaY9VcJlbgOKuqpkQvpjAFF5 og5Jj5IuK4pklOKqAXl3VqMMRz3DeY6GR70CWr8qL+SMWLN7zf+k0lfMjpI0rCxlL7tsy2ABmtid TaD7H+FDZB0u4Q1fwXU24Ke/uvnVL+3wn90xF18DkdCFB/hXwaHF+bjJ1kqaJPHDz22Q6CWxDIcA F6LE3pAb9S359O3n9VjAHjrqKgCyuen4+icyPDx2clFodlceJnjOG+tN5sMIFmUDNAol2uuJ+0qy vxyNwjGecGmtXZOv/Nqvy0c+9nGivdvAUBW5IldlBnaSAhIOxzcEDiymAQCk2hDSbOtyIEQ9Z8v+ nCynh+Gfn48hJ5mbL+F3DABL0bCs7SaRjLDgQnU8rksG5ZnNDWngWNEUnI1l/96ebGysUVgCvFv9 9ljyFvBZcApEbt26LfVaKmNUVA+H0j8cKr4JytKRyGH/mJQvb957RzbW1mV7+578yR/9MYsZX//6 1+XmjS1lSwChHp4zN08ARXE6Mq6XBMBvLTpZHkk9Uu10sIE+RkrbMZ2jYax2zUAOT6utuiLOAiQC GKT7ueSLm33f6kn4BNVAdsmjPEc9QARegA+g4geaCNQBwVsN7I2qpsQgpaPnBfKxXKJEQz6C85iY 09IxvCK2xrBHEdbcNT67lQqvaUVvjksYupN20nPGabyo8/g1q4BFL2r4CHXbt335CPWSUFDzCvQz mIZ0lRv3Hj8FS6wMjIBv9MzVd/LqSHxjoTHaoaQeSaOVSmviGmRzhUf4ykh+viM8D3e0cBN4VEgw DwaZ9AcZ2Twee+8TVI9ptuqkQen3e8F1LpWsMVAEYIWYGCAtspiEfNGV4TXVz35fPqZLvoe6mXbt SbFDp6gm3c0NAi937x1Ksz6RaGNT+dtiAFAHDBHxOwzNdDiSdqslU0BNhhnZEh56+A69zQSKQrVM BuC+b69Ls9VR1tNbN+nRoRIJ1D17Lad4XkcMpcPjwyxgsaqIzwxZ5u6N6xhZ5VqtPOvtuQ2f39Pi sLS7y9+w9mwR24KFL9VGUuI6xkBIg5ANGCysZFQolShGOKfJOL6XQqQA75lOn7VvGG7KQpLLecgv cizLOVVV5MKfw+1UgT3njTB5fgIp7++vYp9Vx8FXTGfS3uMoVsLj536cOdNckobzZOUg42WQbK2Q KfMNbHnM+pCYOAXCSiSqUSmrUbhThVHDbev8QRLYbdtZbNu+v4BUnf+8cdb7szTlEGkhY82pIyOn 9P9e+j69o8effYYA2yYwXCC6BOA6rlOg95033pTvv/R9+aNv/ld59rnn5F/evC53Og9rMj/XUBgh NxqWxbGKvve975VWRz03yoS5SqQOV8F3z5zx5LozrjpwuYoDDVWe9JThrfLii3kAp4xMpga2GUS0 QzEYHMZCiANcY9DNMgmHFg0nMAG2BQ2FXE+b6/m7AimlC+nVW2Skws9XfW7ZAzXPuyrzByffq6CQ cv8FStnlWfma9kjpl2MCKPJdjBWcIXCJ6gKAOSm9OH4fV8MpbJRCvKUHVoa42kuIhw2hI7yF4kDZ h6qy97r9QBmoqIYawV8pJTcP+3aasbLH7OVs7LsVI5nCoSrTmEbrdqsp333hb+Wbf/onsr62Jv/2 3/+WbD78sBzuHsgRWqLQBpTW2Z5EkVjkooYDube/Sx73DPAFPIxAfaR1OTrcl7VGXZ588kltlWpq LyD5yWqifYFgLXUpAgyFYc8Wad5NIyGwDq60Q5ZrNQEe01hqyZQ4LKr1RS1iX6bkcAcNciQZ6DOy XHK2QqigKRDLFgIC3Q5lWaKRPTURzee8e4xWOPwbbURjl9V+Exor/+E0g+VXxfwqmeNJMViczHZX odKmnhoqwYQXmGfhtoEwy6AFhrUr02VmoHyIxknMVwi7CI2WQRYIWyAvVc48qjYS9zwVpvIa6/lZ WV7R1mW/3Oz9uOyHcp5nVYTlcSSDYca+Sxih3jiTV9/4KUGlewf7ErGJWPNU7fU1VWCejGTz5jV5 5kPPyjf+3b/hNbh2a0sytCchUY4WHjCnDhLZ390mhQy2jWvGQkQLYrOqnG3AadeMpGwPLnF/0pMK QR2LTvxyAdfzRjIzick8mpMuBHS2bLcBcBM0xsxjJI7IryaT0QQ691IbT8iuiH4/VZrRxmVQfajh 06oMaXSJcXCpZkxahzC46iP0hmZLu6tjrhZtc9EI4Qv+NqnK4gQO5oWFFvrxPYS3lcaPYRSNhesU wHbNCE9KJd8yiVruh9S/XihZFY6FRswfSB0A2AjOJPQK4iEj3zlR98MCte2HaOXPeg5ovLYKlnlY i2Ac88a8+3Pa4X+KNsGxnxItOM3l9qOPyJd//atkGAWNDrjlW7VErnXWGOL9/d//HY3SB557llXD X3n+eTk4OiTf1BCYLgc1AYIe7UowSq1Oi2IX5LEiol7VuMn2ABVn87CVNJw/a0XPa5hkpHX1XQi0 X3ulcA0JWWXhxYY1V5AmeBZRRUSjKgtw4LyaADQ3prQPGrnTZErOaVQCWQ1i+IAyjXZpUy2ZfYbY RjV58VUboZEKcSjaDjK7ms/NHZ0hQR+WkEMDaChk/3gtZAqxRGq4XLLd5bCwHDERi9XG05KzsA+9 ne4FtxF3LsAbufaogjqoYr6rRz0LkNX3ljztSA6bgkqWaYhnRHVY79Q+lh0Reh5kgCvOtwhZz0iw eNb7M++dvoHntXXh9e33PCJf+NUv06NtdTuQdqLx2XnrLfn77/2D/Pf/+S1prHWk2WnKjYduEOqR NlMZjodM30ENCEwPu5DcynNpNxV4jcouGRUi4OAGMhofqfcKXBYfuMBoFaLFBgvS6zn3rB6QR1Ut pOoqdq4NyEF5kaQDrgZ0MyD0Q9e+MaWbTqHIKAN5pEIh0LmvbIium5A9T2qcTlYhzFBO3+UGaxbI ef/wW8F7nJdV9dkidFTBIoeW9gygeUkuH+QrmZg8VLEQu/Mtckuuydjfn399rPcvBB3q0PAWGKQ4 Ns8qU3mtKCLwUYnr5huSMAS8rHtwnoFWFuaeXNVW+yX7svPOXZns9qSbtuTG7YfkxtZ1uX3rIWmu dxkiWpjb6rT1Ok41L4VwEvmujY11R2Q4pbGiEWzpezExiYI3AKfvpc7gD/RZ1HE+jNT9GIlJavOw Gb6h0ocVb6xoXNKO1MhFFFERB6q/6JKHmQKRHtSVU2nUU6kD4oBwEp9nrKy9XSR5M54LS/heGnj/ dGNZojw0WOGDh3xD1QNVGIqKpPy8pHAY8oXH6XtwFs75SWbfcFqrBDsMnHEBCBccd+hgQE4R2JrG WpsrP+TZmGAHoJOCqR4eyT9GL4flH+s8o2IUyf418c+JxwbpKSOHJ7mcZirA0GnsAHZeFqISe5Wo N4G/FYj4YEE5jQFbdP3P6mHhugIjxZ+R023UpVtPpbuxLvWbD8nuj39GkYS93R25feum/Kf/+B+k 3m0T6gByRWxpBIpmCFhMVINwf3+PbJ5sZeMKNFFJMeiIDhUGYiSHxlpRUFN4xwavFdcwdu9lfyjF LDSkVINp9yV8JsyjrT2YHFYxiMNSEQiuyPT4waXtwKEIDlEVRAkWLTuRCwUBgSCYVKuKhu3RqvMs GNQRE5W/X+I4lXtf8dCFD0DVhA7DwWUT/rzJ4EXbD70937tSatoyCa+wOYeG94oHfg7qRJLuIucn k5gV+BwPm+OrptjvNpCzebePtbWOjI77cjSA0vNQskFKAYc0bbPLpDY2Fk48gxlluwiIDe7DaeyG cs26YizVr/Q62sIAmiEl49Tw8yqNRJO2odEwN1HBePCyIPQ4HSdC3UkIPyRKXdxIsRhMqT4CjiwE j3woPB4q01vDKB+1qxETLzJMi0KRsOpVZcSWGbaz5rJm9ssDrA4H3RvV4/I6CLgNynJZAn1B9SAY J/KySFSeewTb8A4FDdUGb9CcloaoeG00UuZOfiTwrjCuRHjIPln9kU9UAEVZ39yQ40iIrRpkfekP jiXuqXgIpNFwj0YI+1Dcmii5JRlz0MzNLorw+tsCYL/HQZv/bFeIdkLocRU8dpR30/ROxQnJgxz0 sJxIrxtGV4wGY014TIARgXc6HrHlIkHrAVlGc6lTHBX0M6BBVcI+UMKwKuVSfDOTnPvxyoPn4MZZ Fce0aFSFbYsm/4mwweV0wm3OqxKGRus0I0y8+8e78PwcOwXvg0u42yrrH1tVaLncqC73JhePqgeg 7DkLW5P8cNg/5is9CvDmSQc1amjyHeHi5FCLDb2jY81HgR4Z+WAKP6BghdY2R+kSoe1mSnD3eYp7 WmlFO9aQdEIYkEZruGQ+KrkP2kj5I2GyvSgAKScCjAjpW9CIxaogLhjyVonUa1NppKg+jKUWDyXK lYyPX1TOUQ4ro3IEFCKgDdN9uZWhdgFG6zKS6vOM1ck8x0mDdNHeVbjdVULOea9j4tMIuAofoQwB /GbmzCxndanOyokVrZgr7IF0slbGRW8EchbCrGK47/co1mMPfX/iPUii59AuTKWbbDB/CK0/qE33 9w6BOJUGclXoLgA1TcJwRpV8mGvOpe7olE7s2b2k3CWWw8Irs5VgsMkCtAvWVwiuYpt37jwk9cam XN2ku3MD0axcVg20zMkWG+SwAAAFIgvUyGAajQYSRxmT8Kq07FgaZsCKSgNjQytPfhLv/BNsFQ9q 2efnGacwF2TfZ7d50jCFPy/yrk5Tdq8yVqGRnTkyd/8sh4XkLMJ7xADMLyKxOiesPWGY51zGZYe/ +PovZyMLj8k0FU3h2OZTeB2vRDjohvKbu5/NwLqXSL6X1im42u5OqC+I96OhmuR/45yg0Hqnpfxf zOEVpV7i8M4iWecfj/V+ItyEpwUl7lGmGLliFGwLD3YkMFTwpmYHWm9A54KO+hrU6iWZRJJDfw6l QiqO9JQy2V0tGCZ6ZIQrWOIe2B7YwNBvPVl5eFBjUc7DT/aGr3u/VT7sfpXwPN5VUUkLjOWJB3TO MRbQC0ewaA881ZnRboXXKrjLKax6v0KuyoR7bSbpDtVfvQ6+TJl755KiyGWOecilGdk0D1pg2LFC 6AKMFQBYU/m5Jt21NgkrB0eQDRvKkNFKS5JGIjEooOgsaeKdKjZOO/GE0Squaez97vBr7nixLQJz BXCIFhkydne3CdiFZBipgLxizMkzv/8ebSLTOltvlBeHkqnEVOl3EPY16HWN66phB/n32kR5jMCL BCGCspXSGSl01AMFTYpXu5LKXVX+5jBBjufnskKOs0ze6tBv8ftPmys7yzFVjeJhrfpb8Xf9LEMq eFmENCgDpm4XXQeO/sdhtE7sc56HJecZLpM2kxLwt6gKLcoyCiobVK3qJTaMieH5hZEHOXwj4ofc Ns8tFI+dbBqKCOAFS8Heuq59lBBtBZdYlKfSBMRgrKRBpHtxNMBYcMiwa8KktqsyxVoQop2ICzg1 pqSQwTW9dg2qz0MSCGKg66DdUXWf4kNFlOSH7vcvpZOMRk3yErGVLIfe36EkESSvJ9KMpzLu70o8 RTMzqEUQjzugIYn8UK2xuxJ5yVGoqWhi1GSv2TJRrIBukqF3jEhqx6szE+I4z61IopT8T/7Qdh93 CEuMzDzYwqL3+owBVdsHPi38u7+NMLfle1zz8i6+x2a4o3B7xWtFwqnkffbfZ8BNkgKTT0olwZGt pcw87o31GqoWm9dRtkDryg0H2VowFk9miEj4Eu7KseUoeaNUjo+Oi7ClxJw5HJ+DFlUVCFYtGlR5 0GdJOfBZ9ggG9ZqD/mZc/l7C9ov5wOlfQ6gHNeaRDEbaZhSvdeVat6OU0aOxDLa3pTPoEFDaabdk Op5IH606cLLSiBU+4OqAszOso3p3rstED0IhEmWCTfLJ0Kkq4/2RE3SNKIL66qs/lSeffLyQVsO9 QucDuMmowl1ATCanv/9ukVLSxdVHQsI9qnKg2ymTBPTH0AGkeq9InSenvOpOctWxFepOgaTFpLXW ChOb0HxKTXIkdk2amvdWXXx1j9lW7TSg3Q0PH8iibWi+J3GeMOAiwoeq3E/VtqtyWvO2dZbjMmzV 3JC3pOlX76pgd3Crv/s+79wuZWAOcdHDnEBPKuajhq75WNtzFhVEHvSw8r/1MFpfY/Ga6xYwIKYp MStsIZEhhUadkUEjd4oqu0rg4b6gIXrQ68toqAyuDbAyRFAbiqWJkB7dAcyRIQmvhpzVRBgvxEre gndintSM1hk0NAogx3EhPOTCManJvXs71IyEpD33QU1SKGrpwmHP/bwnc/69smfgdNc7SSPko3CR M4mnMFY1dn8nCfBUin7WXkKP9tRZRzQ9Kxe+Vm78g/RL0fNwTbYq2Wo5+/nVT2KRkTjNZ88ywkT4 smNZtL/znIcNH/OGASZOCwVtm3ZfiJ5+wMlpyxMWXpXLWeGBQQLYR7BX5RyvgvEKj8mHXKABWTFj moOz54J5OTAzuF5NS5boNdBnDk8Zlc2lJkdjbVk6cvvqtttUzqZWOkVvc21qN3Ctq6CGIrGh0WIe cwzxGURCMQ1Yu90sjO7bb7/tjBjugypjMQwfkwLQsWhU7eRywsSk7gRQa5NM4mhCyEI9QRlVUcgk n3ctNu5UnSAj1SU0+efUYP2Kg91Em4AnqlmOk93VsIrkdTk53e8B/W94aU5jLC7LYC3b96IQdWFl 7gJyM6GmnG2zWEyWfP6yPSz/mPwqYIi/svfYZy7quM57fUMkvj0L9hq2D88IykTwqCBHTxYF4K0c x7vdhyLCwHNEcRD9gibkOG9Lf3rMMFC3nUtj0pKk3XHnUUraYfAaBoj4WpjfIiRPQ/AiF1XTNh8Y KBzv3t4ek/AITXHsKYgGkb2eofM5Cd2oWmCCK+/+P931TxL0wkGktDaSegKlWLTaoCta34DVwbAc 9LaoCOz4l3g1ypYJ33D5K6f9HN5MGCyEnf7JlQbrdCdyEd7JgxxnDQVnQsBAeGNm2w4wWiwYjuTt ChRqi7yP5TxtrphU1VXwouYNHKd6SnlxzOq1aCId1dIGXuQAABy/SURBVDbr0cOwPJ098ArNwH1z BJfets3ThIcDY5HUNLfUGwxkPM2llY/lWtpkAh6hIplaawL9dTZcsyfUihKu8T28kjh2Gkp4dfCZ mJREaAhvK5WbN6/Lzs6ObG8rV3+rtaURFQpuCc5n5MDTqxgpbxTiFKe73kk87bM5OY7Adlijd4X8 FTfo4nFlKFSudjWoSg4OeS5NzJYWtkgmupUyNFx2QgxTJrnU2Rh6MgldbK/AsFTjgWblG08arsue 7ItgC/MgCJXJc287F+lh+dff33f5+oO1WX6i2jyrsg0nuvT7uGpS/SzXG99hsFBtA/ME9mVsFDAG eM2YCY2PzgYLIo4rH5XEetzg6zBCA+mxsjiBTH2jy7C5DjXueoPg03gylj76Ej1hCNgtq8yznu/+ gGcQIq8I80j5QzuCa19jUzTCw+3tKQ0ljLF9lXPcRUPkvjk5b5ddv9Pe1yTOe0ygwaI2E6GXFcNE ORfXVgBOJEfxz7oDBClqE2myl0tvjhkpeyAsDvaNVaiVtyyHFRqki/ayzjthl32+KucSGqwwLDrN TZyHA+JrbG5FRcTDk0WORgafZDd/iMG7vyOcC3iQ7YGHd+F77FfR0zLPygRGYZD8yiOMCc7JKmpm hA34avQvDnlQssQ67xmSaNwPClRxLJ2uis/2escUqQAyvttqM8+V4r2R0kwXz5y7ZkX7nT+dEf6l gH1bC1SsrT5SMpFgX4A7YFto3XnnnXtMwiMxT+0GMgo7mvXiWfEipKKF7WJAp0ltOpBYUmlEQLGr iptSs4E+Ji8mEGkqgNWhAK0KA+EY0lZKXm8/jufxeaVo/3f/NagWLvM8SoNR7WFVPan3OySc5135 5xP+vqp3dpbhiyKE98UfXH8fcPhs3radu803PPj4gndi7/OvT+iJPkiDZQbJjtmgPHj9+vXrzGHh S/mqWvRQLPytIa4KxtTDcVm+K3fbbLSarliSSz8bUVdymoHOPJb1OkCgin73PdVFA8cIbw1SfXgr VL9xbSGiC9aGRjOVO+07vA9vvPEmjRbCUyVehGgG/bW5fFonnt/zeliNBHQxkP5Gbxmef1gkVBzQ IQ+OnBLKQKPD3kAn1zWtqYiAkw3HwVm8biuIb7DsBtsELelsq3ijgnBqXtK94uRPbmv+WPZ330P0 HxL7HqrX2Dbty09OhgbLn1ChdzgvnKw6flaCnGRXARAEnYwlsl1eKKkr6NLCfKr62hI/Z1SFp+E5 LBo+HUzV8CtqPizA5o8xj5K3qSI/aufjH6sdX8npdHkDBsjUcBDq+cUCDOPrwvvsuCxvpMo2dnwh ztAhlCDMij7CWAVN8S7wa13b2pKbm1vy5is/lVajIbv3tmUwyqQN8GdtKkmnSUELRkUFTTb3oMfh XiPMwrtP4CAzw4PkO9D2jUZNNjY2yOpw9+623L17l1Cmm7euy3g8KA7azgmb9xch98fgypVFvKqi in0P53/SSpFwQ/MyWm4QCir3tBmRYkIyOU5/UQ8MbiCbxnGAsyGfv6NQkqrqAaz2qh786rnIkKw6 qgsKF5OX4VUq5kNZb4XnC2PFhxvKweQ1cwBNL2d1mnOZd6zLVvDzDj+/ZYucGQR/MazKXd4PDwzV M9+LtSjCB7pWXbtVj808Letdrnk6iPgOUdVxf0jDOEkiGeQjisJs1LYIRk3rwE+pdiSvm81DZnJQ TtNnfdYVmK0YatZmSizW5uY6G6YRLiIZj9cUWOpFTs4wXsYznMB6FgcJz8prSMX+gdHwc0o1n8De 9XURdOpugFnqKoPlu/VF7soZ3yJn5bmQnKAPoF/pIie6b6guIwcTGj67V/xuOSwvd2iGjSs4M6zL Dc4ij3WZwVr1WoaenD+ffI/KVnHz3ud9bpnnd1EDIZIdj32ZJzgvBTB7zppeKYKpcIq4ZHnhENT0 geHiWRPZ2NyUrN6X4WQsP3njdfmbF/4vGSA+/+Uvyoc/8hGKUFCSzeWDi70b8p4eth2Bf830NeiS aiY+YpsOQkg0Rx8eHsv+/r5kWUNbeNqKH9PJV0I8ivMtrkPpWek1ON31TpCrKi6s034rlV9L11b3 6U6OS7vSikKkAl5tmFS3GxJWCP3wym5iFeOB4b6KNF5wI8uJcHFGIHy45oWBpzFoM60agXd1UYZR RQVqAg3vsllTJyeTwlxZ3X1BLtKuMUJSj9jvNMZqVeO77Bzn/d0P68Kw2wo85nFVbXPVkPq8A0l1 32BVUVZXHR+/80/Liz6+/zOxP7BwIlKrJ9JMurKVRPLTn70h//jSD2T3YF8+/tGPSqMGeAX48fW9 OdXlNR+N+UKDogokc4yKkhkgOMVf0MdpKkaarxsUHFqG3LfFEsl7DcnNIJ5thPMjmeaQs45YgSBo jQ2xmAz6QNFqKv2b24K5547Yy8QvvVFVAVvlwCpXoIqbf9mT8DwGKhzz8moXZazCFdmalyeAnFB/ EGVrl0ssdAf1vZR3X/FSzjNWl+3JWPjnJ+etgoiBpLR/TL6xuB+VxTYQ53O86HCRqjREXniHUTRM ywrFpZpIhmcQcmntpjz9zAfk85//vGxvb8vD12/J7lvv8PimSSRxAuqnKYr77G7QENMds58Xn6nm YR4helKAeA4d0iih19XttmmkACxFoh7GrAwJHVzmEkLyBIl1zcGpi6hpPXe4xQ1XG8+5zjANJ8LT OcH8aF6Vn2Pw31OVeFZVX7c/7+D8B/usHtZpQ5IwTzXv5/MM28dFPVDm0Os2MedcX5mT8rJ7wYmK 1whFWS1EDd8TPpDnNVjzPKGqB9+8LfOufER81Wfu5/DPwz+ehR7kCoe4aP5PARIdTySGQarFcuvO bfnMZz4je9s7stFdk7137kn9zm1JJikdEjgjRL/jyaUjothKb6ulbLXu3Tkm+l4UaGokT4yl2aqz kAADZtgsDQGBggdRpDk1Lh/N7Vbxn53u+U1gLTUKxERw5qoQBlAIAwbokvmTms6iSXkKygvIz3vV G7ugIfivuFHFCmMPrvYnVU64B1S6vujVoSp5fxEGa3Y9dIsDBQtyx4ThLRRoYOf9O1tO7TINwjwP uipHZzkiqwIWBYUHgIo3g2lJ9vMWIUJPq3jdq6TXSCyg1ZO8NpVWu01MFkj/Op2O1Ea55i+zkfT2 DwmFAInBtAmOeOXTIiEBO1dcb/AcnNSsh2gVfTWgSCcQ/EqmlpADbvYzOsKfT9czjJHEKcqlgBrA s3Qqv4gMcWbUqXNxrMtv6UmCP0ktPG+YMzZmtPwD95Pv4Si5lxxDqV4hL492OuDoeUeVd3UZD+ZZ qo3zBh8PTjgHCyBrrGqiThDWs0CSAsQg+XREsj52gZ7jvE5juC7iPMNtYJ8GaPahBFXHdNmVQjOc fmXQ9/7CosDMd2/BMUK/ueyhpsw8NYVmff5YJotr0suGkk5rxEg107r0dvdlDIN1dKTHEUcCxxqV RPJ10tnxea28XbkKIXPYTBGp4wAYk5ZscG4ILYeAqzIvNnGsE7pwuNwijo+wDXemrqXP9mLGr8hT L7jO9p4kw45c63YtCqobAJBBw85tmF3a1pvE3iMVjsL/OZR1oGEoZT8Vwg8k52a26RlYXJIGq0C0 aAqZoEGczUHwy3lx/gnoZFiCs/GuQvUK7rOflqGpv5IsG/MSqzPHPyfHUvU5n2G06kGceW2saGjw I/X6mUzzSOppU5ptFSZFUrQPWANuc4zQwHm2XGhIs7jw3Mrrw70F3y/AAfZX9grMznyDqDtGjgZY IgNtWvK7KvFd5YGdNqT1IwVcX+AQcQxWHTeMlR/CztsGtwPz4KKwQiiEo2QGLT84UYNl8wP/pbEc DNBEXZd4UiPlMm4KKJff89ij8vabb8mg12PCfT1NpNFok5EFZFKEiDu+LC38wzHBVzn/xt7ha0+L PsPw1vVNsA+FuLUzTJrD0s+Y82ERk8dfR7HmklECedfwGiUQgwXVkGMbSQj/B4WF51bbB5h0B/G9 d7MLQ8Ev8FmVjAo2OfwHDom50OuyfYFXZ5rDSl8V1NXljHmGCcOf0KERW+bJ2CssSEOiCasdWyog DaXJ1MEIRGvA42CFjWmkpIYckBU15F09LPluIhWGIDePx4Cl9mXe2EV4zmEUUZVYX2X47AmLdxjN fifkQRdsUsvg+UQvITBRDc0pQUYMzdJZfyDH9WNZa6SStMAirIK66BcsGUldkWsKo+VSQmagnYNx MuBd1eBXXW+nKeCUtTTNNVvoyuBBF/3MIkk+HskUhgoutjO1fl8gDM7M4amImUenof1H2D4oMbgF PhSYPCiHqmKt32eISZRGWh69n4bqouEEqwy/tzKc2L435R9jOBYZLi4YXJ1BCQSgKLynsYydxPsk Hyl0gfxKEWEonOjsL7xQVMiZxqJk+yoD88oMU8iE4IeOvtEKDc1ZRrGge1RKZz2H84zI+5meCs6r DoBLje06G/GWjLe3Zf/oUPKjI4mbdWnDWUhjifGYIhHPNkC7NiHcwqzp7K/VR3D6AWPEfJoLO6Ej oftxzwW57iP0EDoPK1h5VpGUKl5DOTUt22+KU/AS7UZ568fz/sW53yP0YBZWcS5g8i26fqHBWrbP yvCQ3qpOMqCSudiMseBYPxs8DX0PKandIlqE+Ofk5F7mXSwFli65xqssLmGYZvMrZNv086z2uVXu b5XXa/fOj0r8v6967OcdMdl/y/OBJ8LrkEYS5ejNTKQ+bEuaDUk5c3x4xPchOY9kPPKcyGsa+R/+ Y+jnjN9lnwPhU+TbU4Ol6SFlgQHLMQVtLFxFJlapT3UYj7pOZpX6AhOhvubfFHdm5jk4a2jfDZ2O ZByZFJHoBQ7ECwfvczGncoRG2sZFe2FVnp0/yfx9hpM/rK6GP8OrsqoMfp4AGIrcAEVtI/J/k2At QuVI8wtYaGis0Ovo5Q3OM0JDsOoI0eqnHZS+8uANlvj2vS0/Ke5Xs1cxWH4hKSwskfrFb+YP7uVl FG38gceV2pLM76h6DnM9rtcXhiCpxZQIW5Op9I+OZdgfUEosBXK92ZIhjhPgziDXq8ZrFmZ0ecO1 8znsJ/N6roGfYs64V1R9ylE4cERuREY7sCEMFg6VJDoKMqMtg6qKez//nuhKTp8yEGzwq4P+RPJf x3qQ3Nc64Op5hov0sKoS7qGBWvY9PC77WbejxQ7SlNUADlQeDBABtOpQVlFIA6jTIXI7jSfkMgOH +HnHMg9r+fULiimnzAMhB+N7qpb8xmt+83PY43ra+xp+1vbpJ/gXfeayRs19WW4ZwFBgJfWpmsgY IVUjlXasDAv59lhGw0yyo55kzZbk4HR3WXOkC6jm4/CW8+iVL/wMDB9urXiUDFS9B+Rdx6OxjCG4 keeKdAeTKFK2Mx1F4ImeQA5Kir+bDFTRkAl3ErmpWFcrkoEx3og0VMFBAAtkyXrirvQwi3BzVaj1 BYwqD+DSJ9QcUKNfgKh6/6Jt2c+EgmDlcXzecJvJXAkDBn5uchUpNz8+ShbZIhSfEkOnlSF5YCM0 Vqf1bu0zvqHCMHoX36D6edTT5LCqvO8wJKzyqO5HSDjF8+Xn5ApjOqUfoSnLGtWlm5OWTIYj6R0c SjYYyv72jrS2Ngh1iFC0qcVsmmdYSQX3kwa3+O1C5oxzYHid1MbQUDmKaOqi1iIZj3LJen3CNBIL 0XzXFjeC8T9c3mS2mVlpeM2FBKlY9aofNkGHP/N3UqJcLv3HVRireFhn2R4GwyE2OGNb8FphsJzg KHgWxxnBgoTVMUGBPBcMHCiqVZvw3Tws6W6hoaHg8bsZLF/iHiPETJ11hGHi/R614hlyCz++gJsi bMWhIIBQnyDEmpK5tNVpyxSyYUfHcrC3L831rhN7R3uebbVEAlxuYQxzFfPULb6QDoPtwKLicmkw sDBWvQMVlk2Q9+BqO4HUT7kpzGO42xByrDJIdmoNwh70gw1n3HT11tyXYUYqH8yZlfFkeXSmCHBJ PWvn9bCMTcBGVaEi9Bx8A1al6uy/pyrvVbxnCtzPWNIYYYkSqiHnCO8W7Ro0XrRHCvTjffI66RHg T5Z4oIsUlvW9s38L37sM5+Q72Mv2XzVIVe9yWLZfu9YGb6iiLrbXTNUGxswWWvu8veaHk2HhyD/H sBVtGRfYRY2aMyo0zI5vxf2BnjduEnJbeJ7RTqPoyRo5vN566y25dusGGRfglSHFA2544KOIq+Q8 qdjnilaMYZzHixdSYMP7432BGg8lyhCaRmwvAwjs7tvvyAQCzmNoo8YkGF04/It+csI6M75krFL2 fVCr1HlHiKMKfw4rUlWe1aI82rJrArYA9HPBywJoEMdTb6bSbDQlSmIZDQcuBznR764CpArd8nM/ /ByWjwnEKFg/vYXTN3zmtZ09P/fgR83RDamIcU0mYFEADKSesmE6Hw6ld3TM69PudqWepJIBhgQW U2eYzpMy8AsStgjYz2z3w4IAuALCUTpOuYyHIxn1ewxbCTyHh+jocBKUDhfu0CLBE1VC/lXpKhaY W13hQ8/C+3vgebwbjNayxLD/e9gcbj9XrdinPo6ayPEAwNux9I+PZXd/ny71+uamem8jkXqcaM7R yODUES9ECYBs/nkePgOo3QMLD221N3Q8hq88HeoRzBSMrijHfM1FhwXrlHHZoe8Qx4wqcj2WpN2U JhDvk5H0jw+ZOgAEplXvssEZEZemC0pQ55mOhymqEqisrX78i+bIUN3G4uDyr8CFwlgBfjHo95kD 1/BeZceWeliLclAaeK6I5p3THnG/k5ThWLbPZRWsZQYnBI6GLJlV8IZ5+z958ApbwEOGFhzmc+p1 toq017qF0jCPw21Gay8IG94dhmr5nFj+JIVJdj/MM6Nl4d8qRYD7HfLNG1PvvmIwFWWIdHM0DDIp WkFkRQ6VtFZdGmks4zzj/MkGA9nf3WNhDe0w5Na/oOxVGGVgWDiYIFRFxTofqDTZcCjZIJPcFg4n ndbsKJ1NsiylNjMdqqps7nIsOFr3vpLt0raJqkTVA3nVvayqPMaqRmYV7+w0K/dxv89+tns7O5SU 6nTa0hv0GQ5iIjYa1qngGShO3Pkd+j9Pw89h+ffLPC4LUUw4wmcyNdUeP5z3m5oftMGqGma0ysda c1g0zip2xTcB6Y7GZvZBTmuyf3ggh/v7NFJbN29Io96kpJiWcVbPWYUjfEZ8RgtEd/SYRmMZDgac xwgDIX4B7wvRQb3VlEa9Jc22inckp9nxyZ9PKr4uW+FmVzu9sg8yFFzVw1pmpML3L0paL0ykn6rN oyabm5ukAGo1O3zYIBawtbXFJKrKvfcX96RdcaN1Xg/L5laoK+A/OLhOPme8T8tsoaJ9rirJ/iDH 1KOvKr6feE/5iiHhYbwAGcA8aUWqVHRvb4ehGLwZeFkX7YSHHHlIpOeQRYOq0PGx9I77jiwhpsGs 1xNZ625QdCOh5iKT7ssmbJl3KidPMIkWTnqvF8R9IXmm9sqYTEu/66p7V6c1dKHBOU/Oqmr0+kPZ O9iXgyMIXSa8tsNsVCTglTF2bvfZz33efV6VMlz1bSEy42WGa1EEcBUMFsYM517ApUXGCOS0wIHF vj0AwRXeAs8KUAcEZ+12S9ZGHTka9mV/f4/vaa11mcey/GfljpeMqvSPFTvGWSa9gz2RLJPxMGPu DEYUxgmtQ81Wi1/g/BqbTuppdlj9hsUGb5HHoD/73pVt62qu+qF3FYZvVUYqrJLMy12Fn1t1KIWJ bgcVQ7j4EMc0JteSdckerqB38F3gZZ1nhHAHG36IaOGhycvjZ4YfXuO0beMq4K/8YXc4NFo21Jt0 iXd2lzijZW4H4AsCOpq6rG2sS7aXy8HRET9HCARaf7yiTbhfm0sGKLdnVwWhrdDBNhl+j6DilE9I ODgZDuVod59aBFqVTSVtJNJud6XTXZO03dHjzacU1sD3pQbroihwq36fCrh7vAeaZBPIquUFtUW5 ilU/zJc9YapgCzNVTXcXzfjyu4fmL1v1Si+SP7nTYbtqsV1rBi6//NYmv/SuD01MOMPh/gFj/8aN LbZXTKFlZ3S02k1aesW83krKWNIjzg9LLyIkW/z3xVs/7/1dVdUH7zMjZR6AScqbEg6MmWG7LP9F ppJiW8HGZ6KS6nHeSmPNP5eisFIOVOX8Q8BbXFaP/wYUSRZJOy3pdFoyRIN0ry/D3kB6+0eUEeOz iXNB3yrmIIVMYOxrEo0x56EHoSpbbAeCpim6YEBhM56SVHB4PCDjAkgGD+7dlfz4SPrHR9Jpr8sQ Xi0X3KZ0N9al3e1ILUpkNM3J2wUKrcRVu1fOYZ35ggbVwZMGrOyoV6N1kr3gKo/w/MJVeNXPh6/Z Fx6iRWGkVgdHrjTv+jUj7XLXcnLotV6NMCYcD9pTsWHX3W+5sUXDX7zKfMzV806nC6ad/yfCFcDw 4fwuAEqR5IaBQb9h/7in1D2NutSdOhAMCCuqCBVBCAlgF5Tg8RxzzkOlCdTNurc4Bh9ZLP3eUAZZ JuloKNnBkTQll7VGS/oAPjea0mi36NFBRxEdhRkoknDdES3wnFYMCc87lskwLauaXaVRBfo0ryoM OWysssKGWDR/Wz540TxOY7IEMvnw8JA/I3mKkPC82K4HMRYVIe7n8EvudixWRfQBj37SnjjEd+mY OrwWGD4QLgJlTmGJrS1CHICEx/l21rrqfZIZIleGD9AgJ2igd1VI4KumE/avoh0ocWmKEXBVUSaD 3lBG/SOJs4GMjntSa6bKTAxBi25HuutrNFZA5CP/CswYKt3+bLivHhYvUMWDdBo+qGXbrxoX/QCE 53Ne3cGqc/aNVsjp5EteoaICg4WBiWbeWJ6PCwUTv8rltu59vwI5mDnG6n4dV1WOtWoRsWM6Lezk qkcJo2murKOolk4m0ogTaXU7nHdQk0ZYjCpd2mwooUESSYpFFM8ueliNUrk2kZRsIdpml4/Qnge4 yESaacdBEjo0juPRQKaA2zQasr6+JnGjSQJRHEvmih7cZ6MuQ+AITcznfnhYVaX8s/BBXcVh4DeM sx73opAQYzaPV74fk2l//5AGC3kWy7/MPmRX+2G5il6WjdDTDVkezOt6NzcKTGGwcA51l9UCh9gk Z3sOufI3N5gfzUdj6R0e8T1Q6AEpIDBag/GYRIHwslJ4nYAjox8RRmcISpip1JOGtOJU8lZHJs2m TEcNiZKatFspMYL1dochaUbGEXB6TQlshWEbuXYyP9l/6QZr3uQLPYt536+yh7Von8vwWqvuK2wR sZwKQHaQCscKCGMFo2X8T8ZUMKmsRV9dDyv8/bTezFnGogKDhX5+GBi+v3bF5udpB5PpRJsq8ygM UTyNJa6nxPTBi8IcG/T6PBfMK3wpFUwu+Md2H5id0Viy4UjG/ZGMBmOZjGoSt1Iar3wwljyCJxbJ tF6XWqfDv40cEBdGCyFgEmm/J45jPBxwbvtXMLkvF2UOODL0Hvy/XcVRaUy9iuB5dAfD8MNe81f4 UM7KOPeRv8KXVbhMKu1+PPA/L15W1f7mhfyz0JQH7w2eZ3Bhc5AI7R1UzxH5KvwNeCh4XsfOaGGe MffERuRYhgwHQWILw9aX/LAno6OhTMfId6UyHBxIEjdkgNCukUpUr0kexZI5qAWUpTEixJKOIkdv hfs5mL4PzMPiIb2LHqZVx1m8q3kPquWqLPzwBRdMbZd9g+02J5LfhmIUwaGIyLth3E9jtahI4VcG 51UPFYrz7h1RquIdOBPSurA5HFgpJYFspKkMvMZwVA+hQVirpw7eAc3DqUxGExlBau24J3kfDAuQ lItkOBhJ1h3KFFTN8MyaqUzw/qhGbBWMHjsd0ZyNnk4LvQEzaTTK6+8O+P8DzX4lB6DTAvwAAAAA SUVORK5CYII=