20190214
12061000
1.0
FGDC CSDGM Metadata
FALSE
20241115
13282100
150000000
5000
FGDC
IrrigatedLands_2015
002
0.000
2391980.200600
2740864.524400
1199411.123400
1519765.119100
1
file://\\dwrboifsvp03\GISData\Spatial\LandCover_Vegetation\SnakePlain\ESPA_IrrigatedLands\IrrigatedLands.gdb
Local Area Network
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_Idaho_TM
<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["NAD_1983_Idaho_TM",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",2500000.0],PARAMETER["False_Northing",1200000.0],PARAMETER["Central_Meridian",-114.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",42.0],UNIT["Meter",1.0],AUTHORITY["EPSG",8826]]</WKT><XOrigin>-3120900</XOrigin><YOrigin>-13447900</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102605</WKID><LatestWKID>8826</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass N:\IrrigatedLands\EasternSnakePlainAquifer\5_AppendedByYear\ESPA_2015.gdb\IrrigatedLands_2015_20200606 X:\Spatial\LandCover_Vegetation\SnakePlain\ESPA_IrrigatedLands\IrrigatedLands.gdb\EasternSnakePlainAquifer IrrigatedLands_2015 # "ACRES "ACRES" true true false 8 Double 0 0 ,First,#,N:\IrrigatedLands\EasternSnakePlainAquifer\5_AppendedByYear\ESPA_2015.gdb\IrrigatedLands_2015_20200606,ACRES,-1,-1;Status_2015 "Status_2015" true true false 50 Text 0 0 ,First,#,N:\IrrigatedLands\EasternSnakePlainAquifer\5_AppendedByYear\ESPA_2015.gdb\IrrigatedLands_2015_20200606,Status_2015,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,N:\IrrigatedLands\EasternSnakePlainAquifer\5_AppendedByYear\ESPA_2015.gdb\IrrigatedLands_2015_20200606,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,N:\IrrigatedLands\EasternSnakePlainAquifer\5_AppendedByYear\ESPA_2015.gdb\IrrigatedLands_2015_20200606,Shape_Area,-1,-1" #
20241115
13282100
Geospatial Technology Section
Idaho Department of Water Resources
GIS
Geospatial Technology Section
322 East Front Street
Boise
Idaho
83720
gisinfo@idwr.idaho.gov
(208) 287-4800
(208) 287-6700
8:00 AM - 5:00 PM
Environment
Groundwater
Human
Hydrology
IDWR GIS Department
Irrigated Areas
Irrigation
Monitoring
Non-Irrigated
Regulatory
Semi-Irrigated
Surface Water
Water
Water Use
>
Eastern Snake Plain Aquifer, ESPA
Idaho, ID
>
Eastern Snake Plain Aquifer
ESPA
Environment
Groundwater
Human
Hydrology
IDWR GIS Department
Idaho
ID
Irrigated Areas
Irrigation
Monitoring
Non-Irrigated
Regulatory
Semi-Irrigated
Surface Water
Water
Water Use
Geospatial Technology Section
Idaho Department of Water Resources
GIS
Geospatial Technology Section
Idaho Department of Water Resources (IDWR)
<div style='text-align:Left;'><div><div><p><span>Access and Use Constraint: The Idaho Department of Water Resources is making this data available as a public service. The Idaho Department of Water Resources strives to ensure that all technical data and other information made available to the public is accurate, complete and in conformance with the Idaho Public Records Act. Neither the Department of Water Resources nor the State of Idaho, however, assumes any legal responsibility for the accuracy or completeness of the information contained on this site. Persons using information from this site for official purposes, or other purposes, for which accuracy and completeness are required, are hereby notified that they should first verify the information with the public records or other primary sources from which the information was obtained.</span></p><p><span>Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of IDWR in any products derived from this dataset is appreciated.</span></p></div></div></div>
Distribution Liability: The Idaho Department of Water Resources is making this data available as a public service. The Idaho Department of Water Resources strives to ensure that all technical data and other information made available to the public is accurate, complete and in conformance with the Idaho Public Records Act. Neither the Department of Water Resources nor the State of Idaho, however, assumes any legal responsibility for the accuracy or completeness of the information contained on this site. Persons using information from this site for official purposes, or other purposes, for which accuracy and completeness are required, are hereby notified that they should first verify the information with the public records or other primary sources from which the information was obtained. Acknowledgment of IDWR would be appreciated in any work derived from this dataset.
Field boundaries depicted within this dataset are not to be used for legal purposes.
2015 Irrigated Lands for the Eastern Snake Plain Aquifer: Hand-Digitized Generated
Geospatial Technology Section
Idaho Department of Water Resources
GIS
Geospatial Technology Section
322 East Front Street
Boise
Idaho
83720
gisinfo@idwr.idaho.gov
(208) 287-4800
(208) 287-6700
8:00 AM - 5:00 PM
Geospatial Technology Section
2020-06-06T00:00:00
2020-06-06T00:00:00
2020-06-06T00:00:00
First Edition
First Series
Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388
This dataset was generated for use in the calculation of recharge and evapotranspiration in order to calibrate the Eastern Snake Plain Aquifer Hydrologic Model.
<div style='text-align:Left;'><div><div><p><span>This layer depicts polygons representing land within the ESPA boundary classified as either "irrigated", "non-irrigated" or "semi-irrigated", where the semi-irrigated classification typically depicts residential land. </span></p><p><span>The creation of this dataset is a multi-year effort. The original line work that was used as a basis to create this dataset, is the Farm Service Agency’s (FSA) 2006 Common Land Unit (CLU) dataset, which is the most recent year the FSA distributed this data to the public. Project time constraints during the development of this dataset required acceptance of "less-than-perfectly-accurate" line work. In essence, line work deemed "close enough" to ground truth is acceptable for Eastern Snake Plain Aquifer (ESPA) modeling purposes. Field boundaries were then further refined using National Agriculture Imagery Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, or other high resolution imagery. </span></p><p><span>Attribute assignments for irrigation status (irrigated, non-irrigated, and semi-irrigated) are determined using available Landsat imagery as background reference. Landsat imagery is typically 30-meter (Landsat5) or 15-meter (Landsat7) resolution. National Agriculture Inventory Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, and other in-house, scanned aerial imagery is used for determining irrigation status and refining the polygon geometry. The interpretation and classification process is described in detail in the report, "2006 Irrigated Land Classification for the Eastern Snake Plain Aquifer" archived on the IDWR website: Legal Actions > Delivery Call Actions > SWC > Archived Matters > Technical Working Group Documents (https://idwr.idaho.gov/legal-actions/delivery-call-actions/SWC/archived-matters.html#twg-documents)</span></p><p><span>While data accuracy is highest inside the Eastern Snake Plain Aquifer Model boundary (ESPAM version 2), the layer does extend beyond the ESPAM2 boundary.</span></p></div></div></div>
10000
Irrigation status for the 2015 growing season.
-115.311656
-110.952490
41.957893
44.879291
2015-05-01T00:00:00
2015-11-30T00:00:00
1
-115.367480
-110.952490
44.879291
41.957893
Geospatial Technology Section
Idaho Department of Water Resources
GIS
Geospatial Technology Section
322 East Front Street
Boise
Idaho
83720
gisinfo@idwr.idaho.gov
(208) 287-4800
(208) 287-6700
8:00 AM - 5:00 PM
2011-01-01T00:00:00
2011-12-31T00:00:00
https://data-idwr.opendata.arcgis.com/pages/gis-data#IrrigatedLands
0.000
File Geodatabase Feature Class
ArcGIS Desktop 10.6.1
dataset
EPSG
9.5.1(10.8.0)
329293
Simple
FALSE
329293
TRUE
FALSE
Irrigated Lands Attribute Information
Feature Class
329293
3-class classification
IDWR
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
ACRES
ACRES
Number of acres contained in the the polygon. This is user calculated and not updated automatically.
IDWR
Double
8
0
0
STATUS_2015
STATUS_2015
String
50
0
0
Irrigation Status in 2015. Values are either "irrigated", "non-irrigated" or "semi-irrigated"
IDWR
irrigated
Area shows evidence of applied irrigation
IDWR
non-irrigated
Area does not show evidence of applied irrigation
IDWR
semi-irrigated
Residential area
IDWR
20150501
20151130
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20241115
Irrigation status is determined using 2015 Landsat imagery for the following dates:
Path38Row30: 05-14, 05-30, 06-15, 07-01, 07-17, 08-02, 08-18, 09-03, 09-19, 10-05, 10-21 and
Path39Row29: 05-05, 05-21, 06-06, 06-22, 07-08, 07-24, 08-09, 08-25, 09-10, 09-26, 10-12, 10-28 and
Path39Row30: 05-05, 05-21, 06-06, 06-22, 07-08, 07-24, 08-09, 08-25, 09-10, 09-26, 10-12 and
Path39Row31: 05-05, 05-21, 06-06, 06-22, 07-08, 07-24, 08-09, 08-25, 09-10, 09-26, 10-12 and
Path40Row29: 05-12, 05-28, 06-13, 06-29, 07-15, 07-31, 08-16, 09-01, 09-17, 10-03 and
Path40Row30: 05-12, 05-28, 06-13, 06-29, 07-15, 07-31, 08-16, 09-01, 09-17, 10-03, 10-19 and
Path40Row31: 05-12, 05-28, 06-13, 06-29, 07-15, 07-31, 08-16, 09-01, 09-17, 10-03, 10-19 and
Path41Row29: 05-03, 06-04, 06-20, 07-06, 07-22, 08-07, 08-23, 09-08, 09-24, 10-10, 10-26 and
Path41Row30: 05-03, 05-27, 06-12, 06-20, 06-28, 07-06, 07-14, 07-22, 07-30, 08-07, 08-15, 08-23, 08-31, 09-08, 09-16, 09-24, 10-02, 10-10, 10-26
Check Geometry Tool
Repair Geometry Tool
Check Topology:
1) No Overlaps
2) No Gaps (*of significant size)
2020-06-06T00:00:00
The creation of this dataset is a multi-year effort. Original linework is from the Farm Service Agency's (FSA) Common Land Unit (CLU) dataset of or around 2006. FSA no longer distributes this data to the public. Project time constraints require acceptance of "less-than-perfectly-accurate" linework. In essence, line work deemed "close enough" to ground truth is acceptable for Eastern Snake Plain Aquifer (ESPA) modeling purposes. Attribute assignments for irrigation status (irrigated, non-irrigated, and semi-irrigated) are determined using available Landsat imagery as background reference. Landsat imagery is typically 30-meter (l5) resolution. National Agriculture Inventory Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, and other in-house, scanned aerial imagery is used for determining irrigation status and refining linework geometry. This dataset extends beyond the Eastern Snake Plain Aquifer Model boundary (ESPAM2). Line and attribute correctness is more accurate within ESPAM2 boundary.
2020-06-06T00:00:00
"Irrigated Lands" data was created from the best available data for each year.
"Irrigated Lands" data as provided by IDWR does not represent an on-the-ground survey nor is it based on a thorough water right review.
Irrigation status in the "Irrigated Lands" data is not determined using spectral signatures but is based on a GIS analyst's manual interpretation of remotely sensed imagery.
Field boundaries depicted within this dataset are not to be used for legal purposes.
The constantly expanding scope, completeness, and complexity of GIS technologies, including image processing and interpretation, allows IDWR to constantly improve upon the methodology used to create "Irrigated Lands" data. If you are interested in the evolution of the “Irrigated Lands” project, please contact IDWR’s GISInfo to obtain the Editing Methodology and Guidelines documentation.
Update irrigation status for two parcels in T01S_R24E_Sec23 from irrigated to non-irrigated.
Upon further review, it was determined that an edit to irrigation status was neccesary.
2021-04-09T00:00:00
iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJzsfQeYZGWV9ntT5arOOUzOTGQYckZAYBQUXMW0pl0zsu66u4qu
ou4a1hxQf0VEERXJOcMAwzCByal7ZjpM51i56ub/Oefeqq7qANND4+4ynGdqurvCvd+99Z3vO+E9
75EzmYyNN+VN+T8grX0JPLV/cEaP2Vjux+Ur66Z8Xfb5fDN6wjflTXm95MjoCH76dOeMHvPsRZV4
56lzpnxdntGzvSlvyv+gyJKIxXVhxDM6OofTM3PMGTnKm/Km/C+QkFfGXZ89HQ/v7MN1t+2YkWO+
qSBvyhtGYhkNGw4MYmVzCUoCCmJp/X9eQXTLxohmIK6byOgmNNMCef2KKMAvSwgrEsq8MvyS+JoH
+6a8Ka8oNrCtfRRrZpfhvuvOxIaWIRiWlX95KK7iZ08ext9EQVTTRk9Wx1BG40HIoshKEPEqgCBA
N00kDRMjqo6jKQElHhmNQS9C8puK8qa8PiIIAv7u1CaEfTI/3n1qY9HrhweSfxsFGcga6EhmYdo2
KrwKqvwKwrIISRCK3ke6mzQsDLqKFNUM1AU8aAp4IRa/9U15U16z2LaN7zzUgqBXmvR1ct6nK9NS
EDKdOpMqetIqgoqEOeEAK8ZUQq9EZBGRkBd1fgVHEln0pFSkDQsLIj7I4xTqtYhlWTAMY8aO96b8
bUWSJH68FqH5+dDOXsykTEtBulKOclT4FMwL+ybsGIUyNDSEysrK/N8BScTSkgDak1n0ZzS0xgUs
ivhmbCfZu3cvfv/gjVCzKmSy8kTANABJppUFKPHUQtU1GIYJUTGQpdVEMiBKbBHye2mLFkQLhg7M
a16KmrJmlJZHcLhjPw4d3cXP87cggMdNv9KxFY9zjJwsa16HuU2z8fCL98Gwsvw5ywA8fuc8dE5T
d37Sw7boIePsNZdi2/4NyOpxWCYg0grjnkexgzCEVP4ckuCFadqwoDnvGycCJES8VYipffnnREFB
bflcdA8cQWPlEsyZNwvPbbmfx+7zhHHR2VfyPchmNfh8nslvtKojQGb0DEsyGcb5518yY8m/d6xt
wMLaMF5sHcZtL3ZiTlUQbYNj92/GFYQc8e60hnKvB/PDrzyxTdPEY489hnPPPRcNDQ355+kzc8I+
/hL60io60gLmBL2YCaHd48joY1CNOLIpwBdyJiNNPtgCKvzN0MU47zSCIELTNMyvXYmWnp00ByGI
ImRRhqkJkL0C4h27UN7XjA+895Ooal6CVdosWKazS1mWCUO3IIg2aIrqpgHD1GDoOmzbQmOkHF19
21FSmsGBozuRzmShpgUoisxjypqjkGiOCfRPACwZAU8YvfFyDKR3oneo3Rm3yIOHYHkgwQNLUEFn
FAURFkxUhhogSQKGYwMQRRGGZfIYFY8Er+LD5adfjb8+sZlGyNcsWRFccO65WGI1oad9AOGKJNJ2
C1+T7G9ATZPAx7dsD6rrKybcYxqrEE+hMhJAIplCMpOGKEg8Ho9HhiRKkOg+yjJ/x5IkFi0cryQb
N2ozMg/WzS3HL/5+DfsgJAMxFSuaSvD7f1yHG+7cg/u39868ghi2jfZEFl5JxLzwq/sP3d3d0HUd
zz//PK655hr+8nJCH50V9CJjWuhPqyhXJHbgZ0wEwBMA1DTgDYw9LXktxDKjBU/QBDRgKxme5CSW
AGgWQHM3mxqGaPlQVV8BWTn2rZ8m0c7Nm3HLk9/nazU0d6cIAjQFAt5qmHZmwudkjw/72jehL7EX
gte5TzmxdAOmkAQk0/nbfX5IO4iKYBNEvwrNTPFWo9N2I1F0EXh8631YNH8O9nW/5Ex8DOOXd/8b
JMkDb6Ye6Z3tPIEFiPB5Avjajz8J1Uzg3JOvxqVvuRLl5eUTxmkaztnvePwu3PPCrfktjswjViBS
ZYUWUBFf/ci3MG/WbPYNSFleb6Fr+dL6xchqJr5811585qJ5/HzXaAaxjI5PXjAPD+zo4/EcqxzT
zBzI6FBNC4tKA5CPwSbatWsXli1bxgrS0tKCxYsXF73OO0nIi90jBo6mtJlVEDq+CCheQMs4Zg19
gX7SmnHz0oK7xUxxSbo2PacuPhhD19E2DA728jnJtJLHWSo6PTmZvtmAmjWgZSd+6bYOKFMggkZS
PQhKFdDgmA+FK3Ymm0L70H4srDsZrb0vs4oYVgaGnYFXqOHfc3J0uAWzqxbj8MBOPLnlD6iprcGF
514+4XyyLMG2KUpJu5mjsHT/DLIhXdFUZyw/uuM7/PP0pefhvVf8HV5vCfsULKmP4D8fOMC+yEfP
dSAkI0kND+3swwfObOadZTrO+qvOTNK1voyGAOUzXmEik89Bj1AohEQigVNPPRXPPfccNm3ahHnz
5iGTySCZTKK+vp7fTyHhKr+HTa2EbnK+5LUKzT3TdG16GrsFZBKOH5LKTIQe0M5w0uxTMZocRu9I
O2wY/LmcmGSOHeO5R3oH8OPffQVHh1px1pL1vHOQkk4QU4Foh6HIMnQ3qBD0hxD2VkKUtUk/Y0F0
Vm73uug/VgTXRMtkTd75KORPi4Pl3sqsrsEWYugY3I+GksWIZ4cRV/uda5fJ+SkYlq2yz3W4fxcg
2BgaGUDLwQOor2uGZfLdZDPtt7//IQZjRxBND7/qPekYOMg/Gypnu7bD64uLHbsnEyXkJcV2Il3T
kVdVkJRh8u7R6PPg0bZ7kdZTKPdVYm7pAjSGm9kGJXPq4YcfRmlpKSsHKYTf72c7dHR0FH/9619Z
Qcj+v+qqq1BR4di3NT6FzawR1ZgRBSHn3Czcyb2OiaNlBN7yxwvdK0OVYBsC1s2/FLFsP3YefJmm
C78uigIsy8a2LS/BNHVegXMrdCgYQTqTgG2JmFXVjFvu+W8cHWrh17r6Oyd1nEky9gBkWYDKA3ae
+/Df3Yjm+tm4/5E/oaKmDjv2boRpaTw+nlOGCIXMxdwx7bEfIptHMkjXyLGnR+FuRadQjRS6YvsQ
9JRhQc3JODSwAz464DizfzQ5AAEybOh47IXf47Hnb8f3b7gDJWUl/Dop42C8Gz3RI9P6XnYf3sq7
jiC8vgpCO8OBngSuPb0Zj+91FgKSU+aW422r63GgN4FE1phZBYlrzh1PqN34877fwSN52afQTR1l
/gqc0XAO5tlLEQgEcNlll7FSkJaS46coCivKokWLsGTJEtx///145JFH+H2kMHX19fDKIuI6DXpm
nPUJF+hGmIqdRQGzKpcgq6XQ3nOYbfvOwVbUVjTgklOvxJG+fegd7YQkyNAyGh5/6q+oLa9BKpuC
bmhsz3uVAPwePzvqf+74EeKZofzRUynVccInEx7HuIlC45NEXP6Wd6Gyrhz/9p8fQ//oofxKaGkT
35/7QYpPu4FAlqLt6BD5PCQGik2JlDaK9qG9mFu1AopeDkQWomeoNT8euu6qSAMGEu38tw0DqVQK
4XDYVQ8nGDJdofkygxH9KYUWlB8+1oqffWA1Hv782bxIzakM4j2nNfHN+ukTh6Z9zFdVEHKmRYEy
4X6sX3A14mqMZ5tH9HDUIqklsN3eiKWnr4Qgjq3UpCgXX3wxZs+ezYpCQkrU2tqK2267jV+/6KKL
EKht4mQiXdzrdhNtkXc6RwTMq1mFgVgnEtlhiEIAtuAsAkOJbjy75x7UlDRjSeMaRKRa9Lf34x/+
7gt4fOP92NuxlXcR3qYp+ERRI3eZ98ohPkZJsAy14WoMdu2ffCyTXCNFnhwH13lDbVUjK0hOLUzT
gCSN7V6FQlEjHn9OaQp2LkWiRadYSXQziyODu/COddfjwiv+CZ/9j3fCsBzzkxz0kHd+XkFIvv6j
z3BUjL5X+s7Siey008s0xr+VPLVvAJ+45WV85i3zsaguDEUScLAvgZ89cRhPH0ctyateKmXLaWrt
HdqOP++71V21nJAehTQt2+KdJK1lUB2sxaySuflVY8GCBUXHorxISUkJFi5ciJGREWzduhWnva0Z
ITKvXscVhhTXMA3Ikhfza1ahc3g/0mqcX6PdoFAs20RvtI0fpcIc7O7aBEFywqQehSJ4TgjTNiR4
gyKHWcksgSXyTkTRHMOa2gn0WOWwdbJtbF4USHH/ePcv4BXCqCgtQyKVxFCiBx6znO8xRZjOWXsF
nt39IDQ9w8pp2hoE0wdJMSFIXng8YUQkBRlNRdoc5FAyXxY59xSkGCfkXA8NjWJ0II6zl70daT3J
5q9pG5AsH0ZGR5HIRFn5s6YKXRV5LLLsQXWkGZaUQTarQqSwrkQhXg/vYplsBlmVHH8yp5w5QGMt
8VVjeDjOc4UWg4xKkQjbuT5BhM+nwDBee26FplBzZQAbDg7h2YOD7LSTkFk1Xd9jWk46XWxYieCC
5stQLq9AJl2GrE4nN+D1qBDkKAyhF/e23oFFFUtxfvMl8EgTE03kuNPkIqmpqYHX64XfFvHorj4s
PHPW66Yktm3CIwexsuks7GjbALNgApOST+U80peX0kehqckJr+lZJ0LG991yPWPZOW61rzhqV3BE
CJIBSx47Hp19OBOHmQ5At+oRTUShiaNOhMj1Jx7e9icIigrIjnlDt8lSBUDJwLQTUF3zrizciBX1
FyCeGcGR/r3IGONCYgUSKgmgblY1rnr7ezhv4Qv5ebFIjabxrZ9ej6gZ5TOJOTeIPTMBR2PDkBTn
fjl7noD1p34U6y+9Bo8++SDufOwnzm4ouA8IsD31yAa9fJwdu7biN3d8ExYpOQi/V4a0EcM71n0b
5+C1CZ3vtx9Zi2hGx59f6sJje/oxmnpt+ZVXVRBFFBGWZLzYPgv3viThyGAKNgZ4ZjiZZJtvk0+p
R1PFfPQ0hTEy2IdT51SguaI4LJxTDhL6bJdRght/sRnnLq6aEfNqqkVChIxFsxfiuX3353MeOZEl
BZec+k5O5j3x8j0FWQbAlChNPhYZyUWQXk0oQsWZ8EniDnS+Aj967HmvhQ9e+c+onVWDm373TbR2
by28Mk528iPvf4jO33mPXcRoYgRbjzyNoCeCBTWrMepJoj+7b9IxShTFoghaaQijvSOQvQokdyeX
KeyXO2+hCMX7be4vVc1ClBxfKB8JzAUYOI+mwuPz8PsHRo/CsMciislsDCDln4EIFx2/fSiNMxdW
4hvvLMG/X7EIj+7ux13burG1bRSmZc+8giRGVXz1nv0cJnv3aY1YVh9BecjDfklWN9ETzWJ/T4IH
sLsrhru2JHDn5m7IkoS6Uh+WN5YwPn9edQjlQQW6aaFtKM1x6Y2tQ3xbzlowMWt7PEKrOi3k4ycm
7QQtbYcgGWE2JSgLzYoiGlA8Hlx13rsYsvH0rnuLdjHSbVEPQTQENg8cLSGzBxB0G7ZAvoMIRfJB
0wzYhg7TMiCVTK0gBsWip7AmNE2HmtVx6ZnvRdc9B6BaSQi2hNqyOegf7oRlc+yLFyWKHAo2KYnz
WS/KICg6/FIpVCOGA72bUSLNRl1kMYZTndDM4jC3k7hzPlxaU8ZKUt5QwYojTjFAe6r5lVPaSSKF
JNlMBjZNThFIZ4p3Yydq5lzXaxUa30dv3sawkkuX1+CylbW48uR6XHVyAy/sd23txn07etAXnXpn
nZaCkC33ly09+NfLFuSVYeOhEQwnNUTTOlTDYsVZWBvCJy6Yg9mVQew8GsOTewfwXMsQukfSODqc
wkM7e/J2ae5CKIS6tCGCfzhvDtcFz4SQyTM64vykkG/hZFftKAzZ8TvyZkrWA2+JFz0jKdSVT4yi
kelhCglYYjGGJ4fBEnzOT5UmnyLyBKUbKso2515yWLDiY06+g9CIguEAP1afthLv0T6PpDYCRfFi
1aLT8O/ffT8gavmxk+6xFetOWjObhSCnkDRj8Evl7G9Fk0OIWymU+5uQUmPImrGxcSi02rtnFgX4
wn6koinIHpmz4ZOPEK+40y9ZsAKy6GP8WaEMxzpxw7c/jisv+SD2HNw27pgEb5k5Ib/JgbUncdNT
R7CsMYKvv2MZljVE8C+XLcRnL56PZ/YP4hdPH8aerrH5MG0F2deTQHc0iy+/bRGSWQM1JV4uaSwU
VbfQE81gZ1cct2/qQktfgiMHl62oxfWXzMdgQsXBviTaB1MYSlLdiI2wT8KsyiDqS31cVLWgNnxM
2fljFdnNfeTAgPyFmjnlLPgqBOCCdddg7bp1UHwyFMYSkVNpFt1silTlJOgtZ0c2qxXfWFo5Lzn7
fQgQDMcWMdDbj/bhnWy/czadbturXKIzPjeOJQBnnnU2BnqGUdNQiZHBGE5b/VZs3HnXMd2DjDkC
rxTC3LqVOO+CC0ABPMnyorurEyUVEY50RcTqos8EIgEMdw0hUlUKWZyew6yyYw7UVFdDyEcLx4R2
697hFmzZ9jzvhK+3kCk/pyqAa05pxGUr63iukXn1ckcUlSEPLl5eg3MWV+IjvylW1mNWEJrIdFnv
cQtOaiKT5yi8isjbGT2uXF2HlGpga1sUT+4fxG+e6+AcR3O5HzWlfiwK+3jCkYllmDZK/ApWzyqd
UeVYXnsJvH6JM+ipVBSZTNa12wWEgj40lixBLBHjfAahdj12CHZCwtHuo+iXgNmRdewci5LJ9nRY
rkFCr4JuanzT5zevgKqpONy1G3ZIhKiYTlTJsLFq7hm8+pOS7Uxvxqyy5Zyoo0QjoTBswYAt6Fje
dCYO9e3mrDYHmgyCbAAhfymyaRXx0SRstwouGPTj0J4OjpTJkOGTIvw8R5vIlGSfgKJhNOrcyu8s
ApqZQUd0M7a97Mc/fujz7AMkFq2AoerweBUc2t+BVCyD/S170Nq+iz+zZN4qzPEoqC6vR+tYWicv
fm8JVGgwx2F2dre8BODjeDWhhaRwwXk95IpVdXjfGc1Y2ezMLYpg/WVzF259oQMtfUl+bv3qOnz7
Xcvx7lObcM/L3dNXEDrI0nrny5iOBL0yzl1cyQ8yPUhhyBzLGoRABUoDMsqDlD95fcJV511wCZYs
n4tELIWb//h9tPQ/6/i3lgijT8JnP/x1PPrUnRhKHWB802O7DuHZPWFWIs1OuhGtPKIdjcGVuO7T
X8LTzz+IZzbfjd5Ym3smG4LphymkocgK3nrWh/Gzv9zAYU1CBMtWGIJi4dMf+gqyaY1RvLpOiVOZ
V+/zcAUfJXcX6GcmreJ3f/45NDvG4/EoCk8oUkyPFGSFbi5biqpIM8454y14dtMjSKSGURaqxaqT
zsDu/dvR2rkdsuRhpaRAQdhXjRVz1mDf1oNsOlEpAB2zJByAmdFweH870jENQbGSo0rdHQOQ1QCW
1K+GXw6wr5ZVNei2hUw6zcGOcDiC3qE2pNJJzm9pqgGfWYJnH3yO7grqvCdxaDfgC0A3sjwWCgOT
D1euNGBJzemgtBjBbMgPEi0PR7F8cvA1f//kF//zWxeiocyPjuE0bt90FHdv7cZIQSRLN208sKMX
X71yKbsH/2OkDWQmhHwyP/5W8tvbf4TsbSOoKCEiMLd4gw1nC6Yp4o6Hb0I2Qc8TVJ0+YfGqzmhj
i8KO7tjdn5SAC5UEIXhspM2RonN5UQnVHkFapVyDiKQxkF+9Zb0Mkt9Az1A7O+/BQAAerx9zFyyZ
cuzxkSSG013Iim79RkF0UtCDsOUsIJgwFANRYxib2x6AYaoo8zZjc/ujPME1o9hXWlZyARavWopw
aRCBgA/JRIrzLsGwH/u2t2Lp6vljfkiBDTjY1ov6ulqUl4aQ0XR4ysLYumsT/vjo9/Dp87+Nrqf3
oW9kH4Ss+xkN+N1TmyAaAdhyGh6xBJ+4+qv44a3/xEctkRsxnOxF++gOhAOlEG0P15tQIEe2gxjJ
9EG3Xjvcna7lpcMjHN4lH1hzkcfjhZRk/Q9e4BwfWT+vJBNmr6qqrInxRAJlZWVcN0ErRTQa5b9j
sRj/pG19eHiYIdGEtyKQIkVW6L20YowMDyMSKUEsHuMMOkWPiKQumUjC66WQH63sNifwKHlI56U6
Eq5nUGR4j4PQLqUNI6H3IJbtRkiqgWg5uyCZHiUlEQxHj8IvFkfMuFhKF6BPktszqfBqinNJggJR
i3BicdfuLZDNEpgWZQqcYibVGMVNf/pi/v015QvwX0t+NSExmRN6fqpzOeFxx5kdGG3DPY/8lpXD
+ZyFrE45i4nHJVOqtCKCZDyNQNDHpqDsc84y/t2F46qcU4vypmqkBkZRHfIjpepoad0JQbDwsz9+
gcO94306wlnRvaD3aHYUv/zTlyG4CAXa/SiBagkEOx9wgheuHy+aIVhSqig3dbxCc/Jf/7I7/zeZ
+EWpBdvmwBL9pB2GZNoKEo/FeJIfPnQYs2bNQuuhVqxZswabXtyE004/DQcPHMSq1at4sre2tGDh
okXYv28fFi1ezEDFRDyO5uZZ2LxlCy688EIMDQ4iGAxi/779OOPMM9DW1oaq6ipWoFmzZzPWhxSk
s9Nx3izTRENj43Ehs0ixnRsBZKX+sauzJCTSFvFIwtDJDCqDJWZgic63xFitSSKUFMU60tqBjZue
hqgTHmlMbFGE5XGc9V2dj7lhJefcklUCUSth84u+DDLd1KSF1v1t8Puc1DYhZHlSWhTtMtm3geGD
bRUUseSGb3ohSgoXPiWyKlJCTxF0zUW+jEn+DxterwLVIyM6nEBpxdg1vFpmWZRFhGrLkYym4CsL
YSju7mxTAA7plGQ2UXUlnZeqIqcS15J1xzH5Kn+8EvErnP84a2ElB5UKFeTIQBLv+MmL0zreBAUp
Ka/gg65cvZonSKS8nHE4Z19wEXweBctXnwzF60HWsHDy2lPg8ShYdfI6XvVLyyqgGiZ8ioQzz72A
Fa157nwoBG2vrYMiS1iybBlMW0BtXT1PTMUX5AhDffMceCQBqm4iOFW556sI46KKM1ljvwoGIKcQ
S6bgD1Gxng+yXgoJfs5IS5Ms3421dfAHPRjJtkP0FE8MESHombGwJ09S16TV7DQsT6wouj+aHUWo
1Iu6uhr3meITRkfigKxCECfC8kVDhC1lIdA1cBbdX6gDHLErPFwufagRDD6rw+tRGLqfSmQQDPmP
GbEgiAJC5SEuU05maJeaWrhOi2vKp7cTKJIH+gzlQUhufMdS5tol3zfglfhnxKdwoKM7OrFQbdoK
cu/2PvREVS4sWdkUxm82dOD9ZzTjzq3dWD2rDD2jGaxsjnBisKkyiPee1oTvPOpQqSyoCWMkpWJh
bQRb2qN4y5JKvNQWdSJVtoWzF1Zif2+CwWP1pQG2AckOrQzK2NcT53LJDa2jWL+iCqfMKTuuGzQp
6DHndZNQvo+AhmKWH6KoQ7In95M6+47C1CyIZgCalnKr79zMuiLDI5S4mDSbzRkuXZUleEQ/Ylax
z5I7/5iaTVyJvUoIlhCGaiRe8RolkXYT98umzPcU64nHK7FijAzHEI4EkEpSfbyJUDgwrcS1qZnI
6hPhNuOl0I8pep625ynOR6hwW56ZTAgtzBctq8HGQ8P45O+245l/Pxdfu2c/9nTFcPNH1x5T3mO8
TJgZC2pC2HxkFKMZA2VBqpUm8J3NBfDkcCuuXUeD0Y3iC6MQrleWOToQUATs7IyhOqygL+aA844M
OU6kR3aOmdZMrGoKYCip8+5CxyRlOdCbPC4FkQU/FKsUtkV5D7KHBfYLKPpSFqiBrWRRWi5C8ToF
SJQv4c+JgGyHXPPBqVvw+wOoDNYjY6RxyRnvxs79FKWhvAhV5ekMFowaBJtwJqmmOWaaShl0uwGl
/kY2H5wadosnavvhdsRG45Ak2V1tBVYo2qkJJfvet30apdUh3PjTj0MQC1ZiKgJzSutZxFxFFAlH
6Yoh8LlfyIwjfy8cDiIcDsCjeKCpOkfUyN8zcyjiXFQxVyM/TrQslfSOL3Us+D0/DYrngyL6EPCF
UeqtxEiCghgTZSYThTQ/ye947uAQMqzUVLfvQfdoBvds68FHzpmDmze08zw9bgU5qTHCtbxEBueR
RFyxsg59sSzmVgVYOSpDCpor/Fg3pwwpzeTw7T+cO4dDtxQd6BpJY35NiM2dtbPL0NKfwNkLKcko
YW9PAqubS5mBkZKMtLMcHUljVXMpF7NQcoduMmU9j0d0eRBCIAVB98H2EGYsV34hI6qasCxnZTZc
Kya/8upu8RQlGA2nEnDFirdjxawL8P2br4ctEhlDwYloImlh5/PjrDr6YzjVDW8BfovHIAK/uvtL
7scL42XO75moByWhEmjyIOdh8oezwSFf1XKdclYGAwIULmziMOw4CyXnT+3cuxWfu+FaDlIQJIZ2
O4rYSYqMNXPfwtGsX9/+bVYQ2gEV2cNKpSAI1U7AI3sgyTIW1J+EgFgJAyqC3jDSeoKVnpwuyms4
9TYCvOEgw3eI0IIua0HjEpy/7jwYWRH3bvBgJOn4mZLsgSk4q5PHE4RmkYn72tG8RDWaUk0O89L8
o3l7+vwK/HFTJ8qCHja5PLL42hSEJi0pQKE0lY/9XR0e8w6J/zRHs5KT3Ger3eQiKUROcpirQmIv
ytCTnOm+RlnP1yo5AGX+b175nWWYFKDIJHFnN/tDXuc1QwVscyyrnUM0F0lhDUbR807p6/iQce5Y
RSctKA0URDoefdCZcAWHczBhLlaRAwFI846nCzHe7bjufrL7oKpIGQVEFTnJAtHECmTNONasOQOp
VBKDI/1YPH8pdh/cgq6jB5ERnIq8xY1r0DG4CzGDJrcAQbORNMftBi4wMa05CkxlzwT1ebm9Gy+3
PwGPUYEvfPz7uPFXH2Ibt8zXgLjmJOhMVeaEq0mJqdcoNPFfaB3i6kFiUKT6j89dvAAPXn8WZlcF
cag/ibQ6wxWF/5ckF82hWH/hGsHPiRKIg2Eqez3/Xg4cAM9vfgpdRwZREWyGZmQ4ASfZfgzGO0Bw
Ry1jQbF8LmMLoX6dGgdHQxzzZjKw4mTCSptbQCdxtidcJ0xYBg0Uxy27WjZha9uD+NHX7uLanJ/d
8nW87a1fZdj6z37xbbx8+FF+X0WoHi8ceHBsrAXkDJNJvky4QAzDwj2P3+qy4YyvLhzD6M2EfOfB
g1hevZcqAAAgAElEQVQ3rxzDSRW/f6ET5y+pYgtlNKXjm/fvn7Y594ZSkKvP+0fc+/xvkJ2kLJQi
PdIUK+1kYklxJGMJRKVumHbWmfrZCOBLO7kOAlzmNlObeHbGdj5ZMaBT9OgYk8MhTwOa58xB26EO
2GYgH2lgxLEAqBb97ocokZmrsFJ6fAHYop+xXkRxVOh75MdhEupadkO65Ac50BgOKogCTNFGPBpD
IhHn1zLpbFEI2AZwzsnnoH1wP7qHj53TdnzInDjHdh3aAFGxOGo4EzmPqYTyG7kcRyKr49qbNrPJ
RY9EZvrlwm8oBTl53dmYN3c+brr9mxhKFUcsnOq9Yz8WoXCzGlGi5IqDnAq5/M4kjjO3lEzRn7R7
kG8wKbNJwZj0rIiv/Ms3UF1Zg3/5jw9DECaGeQ0964SQKQjAHyRAIjnrCqr985FG3+THVzXYnrHj
5Tc0AZBUkWHmN/zg/TA0suFMfO5r7+SXfRgLkPh9Hrz/4o/hW3/8opMgPIYYschJGlJGx6xtqlqM
9iGnvsVLuSh7LGt+vJV+0zG7emNZ7hsyEM/i0v9+/sRVkHgijrqmZobSj7P+3eemKa9h72eGFVrd
U45ZN57EgQICtPp7vAIikQiv1szTNQ2xbB1Jber8BJmaU02/klAl5jQ6rJfJZBqdAzuhuzUjQaXC
qWa0nUfvSDdszQfBm+H6mVdKW8iiH9//8p9hwoSayULTNWRiJr77mx2woEIWvUgVjJmTpX8DQofj
lTeUgtx9z+0whCjKglXwyxEn0iLakAUvBoYHEXNh6q7FwUIr82S5E/Lpw4qI9adfi5GRKDyKjO6e
Qezv2skQGcbN6oR81iARrafirIaiKKMqWMblt6KP7G2RC7koQkTo3vKSSigymWMWK044WIVsTENc
TSEoVUIhsKNERUQWA/0oVEwAFnLGaVcjOAcrOyF4Cb4jhZDWAi6JG8E96OLcAIIpOL5KAVwlJwvm
LcO1H3wfR7COHu3Af930aSdIQDvx0vPRNLeZAxvBYCUE4QgERYOte2FIr6zEdJ2RSNjZYd34TOue
jvzrTJtKNy4PeMP/anlDKUj3SAsGk635ar4cikFWZIiZSsgTURyvKIIh4uJTLkVVVRnuePxOPLXj
QVieNB+bdgCqPZEt53diLmJzSiInvwKDKSoSKxDX7P77yz6DlWtWjz3vTpB0MoO0OYysNeQUgBd9
lirANK5i5HEJIkyiNJUFhu6LTNBtQ1ADgEK5Jif0RuTWObuS/ABSEmJu9PiAHftfws5vPMbKyIhb
RBhdS7UgQ8NdODq4B7VlTVi/7jzsPUQmmAHR9MJIe2AZIQT8fg58UKktIYdpTO+5+IPweX3QRhO8
6HiZrM2Gz7Zw+vL16B1pQ3vnQQT9NUhrST532B+C1y9DEo4PPfF6yxtKQQRbZqXIR6rc3cHQbOiZ
OKjKdCoKz/FCm09VaQMqK0vwi7/+HI9tvReSbBe7Hu5/pBh03pzPQUm4yZfGSWj/8vHgXMxq4udo
dyAQYK6enmx7/s2BcjkfZUIsHwSXOIKvQchC8ea8ptxqQSgAIJtOQXdZFpEr7OJdBzjQoUKVBtHS
vQtXdK7Hczufds6rEOTdD9GbRBZuZp0ulVwNG7j3mbswqnblcyMfv/KfcP66c6CVhfD2y6+B5BXw
vV9+ET1DB3gc5PqEPCUYyhxhiPzxCEWoKIn9SiJLAsOdcKIriGUKE0pcGVZCFKKS0xouHXMccDKJ
KNrCKAgKyxIzIbchcD4T9JXjonPW46ENj+GxLffmmTymEiHHB0yodL8IrxR2IkbMo0U18GT+WLCp
ZYFBcPuCDDaN3bBYwYxJvkfm5iU4RiEB3gToSkGq/VgcYOLTzbVzcHmEWUXJgbcJbgvMqV2AZ3Y8
jtYep6Aqf94pdH8w1gNVGMu73PfcXVg27yQ88eIzSFhZhMv9TD+bS2zStajk0BBs+jiFKgY/dPYs
vF7yhlIQ5quapLqVgXQeMi8kyF7TWeWNsfYIzOFEppFnrO+HIsjYuuN5bGt9BhoVINnj6tyFyZWE
jpNIZBGMkMlCvE8uOQ6FW03Ab0jQ+0fZrDFMi5G8o6ksiK+Rcg4JwUCG4esFIkrwooI1OJ1RnR2S
TCxFRGPFfJSGQ9h1ZAt3S7BUCZLXpU6FF5aqOJEnikDZImRKgKr0jDiWe3HHnmNqstxkWsAbREW4
1o1/ucecAlfloHmLCSmO9B7AgcOHcN/zd3BxmSU7UKPCyF7K7oFg+6asg381IaKQe14eZ85OIf2x
YydreEMqCJElmMniZKBHCOOUZWdgNDrKzOWa4TiwUyUM2VTSgJQygCO9+2ApKfgpu65RSwRHScjm
J+Z4cr5JIQrbLNBxs+k4NHrzBKHSXwVNDcU1KR39MWiyiKFkJ0rKAvArIYyku8bGZJtQhREH20Ur
PAcEANsDNDc3oKmqFnt7noNNRV+qJz+ZJVngyFPRPSJzkJQgE+JryiEFaAcdH2nrHDiMU5ecj3+9
+jt48uWHsa9zOzx2GKqpwSL2FtHDQQpihKHdcfzmR2ZTPOmYYuSvTAXwoGKwPFP8NOX+7T38eL3k
DaUg+fCqJmJe7Umc/EqrCexu2wSfEoItaRAtgUOvORPLMcmortw1tSil4SPotlOrICtE7+M65EQI
oTq+Bp2HIB70/mzS+Z1JIqizleUQrpEsaToZtZW1+a1sjHNqTCQqPusY4A+PZnrgV0pQF1nEhUZU
sz5IVC1uiSEl7mmhJgWlMfgCfiQI++SKCWPCRB0vaxZdivSohf19Y81kSEHo2vgeujtEIjuKmx/9
LmpLZ+Pik6/CP77jU/jW7/8Do/3EZwx4UAFdTo4lTo2CPJFrQsVTcXbgSUH+LzbIe0MpSFWoEaUl
XpSHarGn8yWkVLKHbfikMHxiGB47Askrw1KcLk0GQXHJ5DFUyIJDoyqRnaIR/ZmzWmvkN5CvQidw
fQCamOwvOCBlJ6mYdN5DVJ9Bvx+q68S+/ex34cw16/h3Mqt6eiayIVh+D8qbqghOyBMso8dQEWzE
YLSHfZ/59YuYkrRzoI3Z3G3ThGhLMDM2hgfj8MomoAYhQXF8KS3NW4xMdfMqAUqJIpRIHRz0cEmg
Cmp0aALPFe9MTI/qg07ZbttmP6l/pBf3vnA7Tl58ihuAcCW3/eSug17KFda4PyrKw/jyh2/E13/3
b/+r8x0nhIJ0jO6AZiXR1duLLNFu5pZCQYBqx6EJsTHiRHZM6EtVIJLNLk40Ech6F3Ubk7Hg0OSi
HSU3QWjXMd2VPRipQlojJj8DAa4gzIVnJ889Or0Rx16YXXUSBmJHkdJi/AUdGtyGWVVLsXbZKdjT
8SKjZZWgsx7vaX0RlpJwOLpyTraLMta1DCSv0yOR0DCyUYqsPYKnt9+GUsyb4PCT0tMuKvpHuJjM
lNKQjSBMScO8hpXcRyVAve0KSfAKXIdzVl+FVavWQPZIGO7qxb3P3Qqv7EddTTVmVy+Basadikv4
GChJcPtMWmNT8M0w799AiLCMssGaakFSRIh2gJ1DJ/E2eUSHC56oDsRNkuWFYOZUiUd+xhQKMuFY
CuAVgXNOvQjdo43Y3PIYMtnxjuFEDaEdQddowhOSeikSmWGkNULqjr2nY3AfIoFKnL74rXhh9xPE
HpAfB+9kbilsflzuZynEzU2FSKE5s+7gu8iHcNmFnM+5NSVkamqaCds0YFKtX0pl6PvWlkdxtK+F
CShy4iQlx2Tjnvswa24D+gaPQs3EEQmV4NZHfoVZFUvRPrAPmuAEHxSzFLrk/J4PjR9nmPf1ljfU
DkJwCN7nDQWWNwYFFB+nxIftJPMmC2JQd1vbA0nxO1lri1jgPThp7umoDDSgY/t+J+pyjOaB01lK
waXnXYPthzYUhVqTWQ1DI3Gu9CMhs4fq6IO2DS2tYnbVUnTFdiDtQjGIrogpO93JH08NYduhZ7Bq
zllIZmJIZ9O4+Pz1+N3TTqszUigmjh8XmXJKs2iTHFfP6P4pSQoUYliHkwRlH4yjZBhD59pANB5D
JDSWcwh4QxC8XiTS1FaA6oGyeHbjfWgfGQsLN5cux/6OHfmWERxezrX6JdDaZGHHGRCivSVChqGE
xoSGU0WnTygFETxZwExD16gnLCWv4xDNIMyszJEmZZIwiqDLsKUMg/Vy+TZanQ/0PodqZQlnnWnS
jQcd5vN6BUL2v0P7b6O8qhonLziPM84kyYyGpCjiNw/+Akf6d7At9JXrfomqimrEhmLwBX0YyR5F
Ousqhw1cdMa7MDTSix0tDr8XiaGnsOPok+z4Voebsat1O+ZXr+GCtYyexMDIALK243sF/WH4POU8
IQlBa5pyHmRJjYBongY8FTht9flYvuRk3PSnf+cVnVwYcmssmsf0k+hVqY21t5BkQcCKhWdwbciu
lkGnHbYkIqsWA7Vy5HmGKsKAQ/VDBWiCFnLzTxnAN3O7B3Gzfe2qpbh8VR3XNhHk/XuPtDBR3Lcf
PICjI5kTV0EcKZ61DXVzkEomYLo0OYWiSCF8/sM/wLd+/YkJr1EnWt3IcEiXJgrtPuRzjLfbC3cO
+sL9AR827XwGdz//S1RGatnc03UTo1kN3tIQh0TPXXsV1qw4DfX1dcjGM6hsqGTSaKocpPPl5HDX
LviUYFG+YkwsbnQzNDLCPggNiN5bXlqDsHc+MloCPb2DSNljkSpbC+VDuV5PAA1lS/GZD38JJSWl
2LVnOysMKwVl291rFNzr5DHIBnTVZl/LtiScd/rluPuZXzm3w6ZGPkBppARJo4zZKKmBDx1r+dyz
sKXlEciKBjPthxRQYcvO9+FVqSZg5hTkhrct4YKplztGmTCdhEgQL1xazSbhZ/+w48RVkCX1pzK1
vqWLnCyj1e60FW/FwcN7EUsMIKXXQtWcJjROrawPRsZEhb+RCagJIkG+ChEbMMeV4oVPKIFO9oYg
IpPQWUnouM4EEqBrVLxE/ofAu8y5a66BpWno3LkbPcPt+N4f/xM/vP7nECmZQp1YQ+VYNG8Fli1d
wTNQTUcRroi4jTKpfd3Y9XT272OCukkT4hPMEuLHSqBn1Ckr9kgBnLd2PVr7duNIz34nq+9gN1nO
OvUiXPXOa/LkeoSH4uvwOFgtM+4oPf1++el/jweevpUZZ+wK01UyExs2P8K94XPaRPD71t7dKAvU
ISDL3Du+e6QNF53yPlYQ95YVX4YoIuSpgne6QLlJhOrRidH9zm3d+NIde3DnZ0/n57e0jXDPwvMW
VzHvAdWqn5AKMpocdHpP2Da8ahkWzlqEnq52DAwf5RCnTw4jEChFWaQab7/8XfAFvMwX9ZXP/QDp
VBZen5cbbKZTKsNTEqNJhka8sONhdvQJPetk6EQH9yU4nad8cgDBQClWnrSWX+/r68JbV72PTQsK
3T698QWUllShrqkBV55zLdMhte9uYwIF0zCQGImzL/Leiz4CSzAwMEyhYKe3eFmkhOvCfYofPf29
bi042fEOKYVt2JA8lLEndK/O5lRGN2DYFqoilbj41MswGo1C1Q1kNA0m17YTYYMXbQfbYejkc8lI
DmbREFnC46VV3x8sZ1+Jcvj1wWactXg9yiJlqK+pgqpfBJ05BXzw235UzW5iBZlfv4THROMmUgz6
6fdR/YeIlU3ncuEZwd2pX4iqZflWrpizFvNnzcfA0DSq2aaQsF9hkpGtR0YmBGWobwiZgH7PCawg
ffEjHEok0dIKjsS2uPikcc5HD3CofxcuPutdqKucjermathehalxeIHzZvj2pjIavIoPL3c8PtGk
yiiQ/Q4wkEKUc6pPxjxpPk5edSo2/PYRbNp3X9H7JSuMj73rX7Fq1TooBYRmuS9yqGuIW23/6alb
8PKh5x1oO2X1swK3Z/7k338Jv/vT99xOsWODqStdhOs+diNKSkOs5GTj33TLf+OjH7gOhw8exG1P
/gJBXxhzG1fiQNc+7G550dklYz4IYYeaiBqSrj/tPYiZPU6Rk0HvOMy167BkvO+UD2PDgQfRWFaJ
t5x9Dh7d9Ajuf/Z2ZHRC7TpJVpIXDzwJ25ss6re4evEFeOsZ12Lznc9Ct7LweJ0FhnExgoUl81dA
JtYVqtacAdKGWEbHWYsquWlOMR1QNb9GVYbTkTeUghQKdahllN8UsYue0QO45f4bcdHyaxEpfyfK
ClgHc2LoGh7ZcMerRlkoRDka78HPbv0Kvtf0p0nPSFxXv7zjq7jOuBFz5yyEr6qEV/78eL0K7nry
Huzo2JD3ExjGEqRxOElMZogfd3TiD6bOULJXhqzLUCQZrZ0v484HbkVz1ULsbHOYBJMZC5/82L/A
tD7FE/fnP/8R9vY6Zk9aU3Hfpt9jYcMK7O58oej4AU81Wtv2o3NwB1bPW46b7/81nt55L6/+TFjn
Vl8yhasVh6XaRVAe8qO27JiFL3z8u3jg6VvQ0b+HTVRJlLF8wRlYsOgkbNz/KGYHL8dMVA/eva0H
HzxzFmRBRFXYi5OaIrjlY2uZzur/PdPGnQVOWAUptNUn64s+mbT1taC0LMQMhMQOSSaXblALBJFD
vnvaN0xQEI5UQYFBLBCu9Ka7EfKW4Oc3f4NrNRZUr+UVk5ph6qaKcKQSHq/MUa3a8jD2tRxFzfwG
eNxGk3Q+1XLI6SZcl6g5SbljvQ8WTVrZofhxw9zUqYoY5Hn8uQWkQMipT2ajqC5p5g7AY9eq445H
fs4ZdAUhPL3zd3nU83g8myi5RBVuboYc+2iyF1v2PIbT152DT33oi3jhxadx39O3gADDV1/6ERzt
bcfTW/6Cd649AzMhP3ikhevPL1lew/eSWnfQtCCGk9elDfT/Janwz4Zuptg5VE0bGUwGGCyWoUQf
F1RRe4DR4TgTrZVUOrtJf3evg0+aRNcEWyiaIAYMaNIwjgwMOxWEPkeJKLLk94TQNdwGUdHwk7u+
gaYN8/D2c9+PzsO9CEX87KDT5B1fFsxIDjd9EIvGoQhBfs6wVKcqz81mU0Y6Fc+wiZVD2+pmhv0j
hZklBHQcPYwv/Oe1Y8dOl4FYVwulbWAv1s57CwZjXfnakxTDdRwur3h2KO/sTwIpKxi4S5+kOcnT
kmANdh/chnCZD209B5HVM1jSuJLNzICfQJNCEV/vaxEiI/z0rdu59ww96H5R17OtR0YnJDZPOAUh
Dt2cDwItAlOgts1Ozz36ArifOBO9EdTcWU0NwmAwCFBAWWUEiWgxaQLDSYTjYwQksum0HuUHMfF7
BCChDmNf9zC0ZzL4uws/joAchhjyckLQ0mTOQ4wPJY/Gk/j1X29kp5det0wPbMVREGJJZC/LonoX
G5GSoBOtoq9WspG13LZrtpfzJDkJCpMzVx7q3YXGigU4OnxwwhVTiwLaHfmeHIOQEr33si+iqXou
vvnzz0IOOveWEpDtQwfwl4f+H9Ytv4ipXY+VIulYhBRhW/soP16rvKEUpFCowabky7ERykxWnWu/
TBOKJiuJ5DEwPDAKSSbEqYhknBx0J4KkZjVIxLYuUAWf0y7aWUFtKIKfuzg5bQmobcNYiW8++1yk
WE5f9Jwc6tmN//rDZ1EeqkPQGwFML6ojdY7pQvkW2ghcU8VHAEsxCwM6I2JFIZBfweknmWfUA8Rp
zOms2hTOHh4cxvLms3hXScQyOBLtH1vhdWlS7oVouh8NlXMRTlcw5CUnsuhxCKynkfWma9iw+QG8
f/31HDonxG9O+VUzga37H8fefXsgFDBJvhahY1MehJo0TbW7dI1ksOHgIPZ2x09sBSmUQgr8vLiT
NZmK4d+/894iYOq1l/4L1p5yKjySF7+54Q/MDJ7OZvGDP/wAB7t38t6waM5qnH3y5QhHfAiUBFhx
iFCBDnLrbb/Cob4tXN9NPL5ENk2hHtOW4BFCMIQUK5ktSBjIDMO0+uGTSnDNpR/E6lNPc4qHBJOT
jHTM2Egc92z4aX7olj0GaU+mEvjjX38Jj0d2COhEmQvDtmx/DqWBAzhzxTmcDu+1+hCIV3PNOE32
WaXLIYSW4uCR3Y7DbRqMaqZQ9v5DB7By/lpsaX0yHwGsKq9FZ08Hw+2nI23du/DYM/fB7w/BNhRW
Gsui7Dq4pZwoyTBeoZ/7dIR2dUoIkg/ySnLdxfNx01OH8ePHD51gCkKkBcS7KtjcuSighLgzFLMc
EpvGJB+hqI9G1W4Fr979zM8QLgmiPFiDQ12H2clu62rDgb5NTuGDBPhCMprn1ENRJJTVlBZ9SaGI
D0qc1nrDLbDLTWgTtqFCkDNFhYn0GsGzGhubES44Vk56Ovpwz7M/zWe2uSV17pK1DLa1PFwUrTMI
uesBYmYaj2y+2820O5J2kRZL6s9E7ZwKvHTgIXbgtbQMgdsvOK/v69yCtYvPxo62Z/nv6spKlPnq
0TVyGMz7VkCYTcKVme5n86wxbu3K7pZN+OInvofy6hL4g35up2DqBqLDMXT1HMUv7nA4i2fCtPrO
QwfxrWuW4/G9A/jTpk74PBL+8by57I9856EW7qtJUa5PXjgfG1vHdsgTQ0G8aXBJoQBkkios3WYe
WKpVT2XjTr1CofCuMZFIgaDqv/jLl7gp6GD2APribY7j7S1GAVdUlyIRfeVWBce0m7kydY+p8W8U
i7mvDAoqOPkICgQUElflEovjZffhl/Bs6wG3pYMAr08kju+8qIhyjTnB7AlJ3NK1G595x5XYcugp
qHSPj1VsEesvfD/KKkuRiqURG07AH/IhMZKAV5GhZvQZY/6ha/mH8+bipSMj+Ofbd+aPS606Hrj+
TJwyt4wd+O3tUfzxE+twxap6PLFvjLjiDa8guUQ3s31Qvks3Mah3cm22QgUTOaKDAu5oip3r46Di
jhlhYXi0H/PnLUNfvnnnmBTWb0wYhynknW1OvBesrhT/p6rf/PlyIEQuVjq2qcKfM8hRcVs4+BJu
JaOLTDYjEJF2Qbi5Paq4s1Cuk27uePmQgyVDT1Niw0Znpgsr5q6FTwkzjOVX9/0As2sW4mDPyzhW
qSxtxElLljs+kiIhk8qgpr4KfqYkElFSTjAbzFh3KeoM8NMnDhddLbVC2H00hrMXVfECtfNolDsM
1LrE6SeMgnCkKqckZMnnW7BRhMeYNFLiU6hN2uRgaEUR8Zn3fArW7QYOduzFaKaX7f/cuaib7mSR
Q2pFPSnlKCFeKaE26eg1JFMZKEmfMxKmiHeUkMK3hSJ5qS21F4ZGYVwZeiYAj+SDZVFTIJN7i/jE
cn5v1rRhZh2z08F82zhl2aUwMxZGu1ucAxIWy6pAJhODYCtQgglusUCyt/cFzKteicMD25HMxgDD
c8wQdYdJP9esnoIJAg8jEUuipjyM7tGkQ3ThBiReq1ASkLqV0U5B6Gb6Pac4q2eXORAT20bIpzBu
i5z2E0pBOKLjXrNI2Gwhl1yzubf4dIWiWpQX+fz7r8dDzzyDh166A70xx7HzeD0IlQSQjE7D3JhE
qAN6Q+Ui2DrVpMjcbJNHXDBh/P6J2mZLKmbPWobGikV4cf/dMHULopdAlc4NSFtOhM2kZIecLkpA
0gqeGCCly60YAnQ5CoF6qhgeCEVNDy2MJPtQEWrgTrVU5Ujc4JMjjAvG5wT9UF9NlDxjVVzUx1Cn
pqKNVcgOugVUr73jBQu1Hd90eIRbafzqQyfjvu09DDOhDmnUVoN6pdNI1q+qY+wbMaKcUApiZDww
TC6U5W65+SZNJiFGy5kblhC7luXsGLTd+n3l0DIGr2IO+7lD+kY3UssI2LrtIGfY60qbUCUvQlJQ
uTAoOWTg0P4O6FkNI4SgJd9dkqB4aEWX4DHLedV2Em6OscMrHJk7gjePKJalMK7/2DeRjKW58II5
vAoaj9AYifDgfeu/wL3J73/qVmS0GCRbwNxZi7F2yfnYuO9upj8lc4o2w0JWT8JmmXTKAgWhiNXS
Batx2dsu5/foqo4bf/RJxyfjUGzxcj6a7sWC2pMdVIChs3KQaUc78mS7MmOz7BwxBiGUbRze1w6v
3ws1o4I4TPZkdWbhjw46lZMz1QLhP+7ei5s/cgrOWVTJj5zs6Izix48d4hqRi0+q5d2D+qUvqnsV
0jm8gaQ+shCWmObIkmamEU0NI21EYQsCMtQzUFSdyEpBE52MIcOU45TJGJcxF5C14vjG7Z/jSbpm
3pn4t09/nkkPaBLffNcf8J3fftKdzNy/iR3S89ZejcsuvBrN8z/rJP/IvGNAn8V/U2ktKwfhzik0
bFnIpKhu3EBsJM191ek5+kkTd8e+l7C7dRPUrA5d0yEYQbzl5KvR0dWG7S/txP7trfBm6x2V1i2U
BmqYUbEkXIVFs1dg98HtiKUGqCkjQ0Fowh7YdRDR0izaegWO/CiiB02lC9AT7YAtOf076LoCnhAD
Emm2d/UdxelLL8HJC07D/S/+Fe29hxjRbGQd+DvRj2YzOt8HWTRRVVkHTVPh0UsxOhRnSiZfSIFB
zplPQVbQ4QkoKC2NoDIwm1G+MyEdQ2lc9eMXsH51PdeBkJlFCcOHd/Xl+6Z/9OatHNUaiKsnloL0
pPbAlOKcR5DsIEqDpahUFjPv7Gh8lGHWlN3WxAxMpGC4fT8mF2fyEictJR0FyeY+fzlzweMVi2k+
3Z87255EbW0jFq+aO62xk+LERxKoqB3LcD/9zOPY3/0cBjOtzhNk1ijAYOYIYnYr4mIXOJqcD/sL
0AlPpnWhojSM0846CzuPPoVE9rBLoO28K5psRc9AJ7SjY9xbK2adAyMWh1nQGzEsh5HRqJzWkU0t
j+LidZfiuvdeh7888Qds37+TuYkphE47JTNLIgpJ9OFrX/wx7nnoNuza9xIqKt+J//rldVARQ5m3
CaOq260KAko8dUgaAzPaMySeMXDbxjE82Xghp/1YQrxvOAUZo+OkBo5xDKUpW9rJnaEoHKoTFY9N
ZMsBhOQKeKUQE8tltVooHhG6nUZMHYRqUVSoODza0dOG39x9M7OUeBQfjnQdmXQIw/GjSGVe3S8R
ErcAACAASURBVLY9FukaaEXvsKscBdLWeQBpc6xSsEhyXd0sG9v3PY+ekQP8N0fRCmIRXkXhOj7R
9jIEZ3/XFqyccxZePuLw8JJkqfa24EOqQfkiA4TSuea896G3fxgpbRSyJKI/2guF6dwF+JVyzurT
TpRRkzh46CB/JxRISBtDeT+JzVgj4y5UMwPGIt+Ciqaoo3JFyFuU2KQOzTfcuXdax3tjKcgUIssK
Y4iIgV0ULdhSErqRZMIGv1iFjDUMISPCJ5Yg7KlExKplO7rC34wFVYuRyA5jKDaAx7c8yO2QCd7O
/TJmkJCcwq6FzWnIvMqmNIfr17XR2TKjiA+xu1MhX8GXn4dwuKwNh7p2ouXIXmeMk1YkOh+wBA2i
FobuiXPBGZHE9UXb+bW0MQLZCsIQxwIRP/rT93Hu6otw96abeecgVDC1PCgNVMAvl0I1PagorYea
zOCkBafANkRUllVzXQ4tRklzXLOf42VTmEI+ceFc7kuYk1zAjX4e7J1ezuqEURBy2MlEUly2d/LD
mUmRKPqJ0lwi2IeBlDHMj5zj6bX8+PzHvs22P1UXJqJxREdGMTjch2hsBKoZw0hi0HkkB5Cm/iNE
QDfNmgMSQuRSy+icUI16KhHjktfxEgqFwJtjbrdw3BneNZbOWYPRVD9XFqYSOvpj7U6Il8OzDr0R
r9b5pdVm6k+BKgwH9mDdgkswGO92SB6gcsuDQt9sONGPjv5DjCYm/4VGTK2vk+pIvvUzFZk98uCd
2NO5lROqPe2daK5ciMF0OxXPFF0LX/PxEa9PyuL+wTNnc/Xgv/55F379kbX474dbkMwauOHtS/Dr
Z9umf0y8gYRDizlTokA0nUpbHYhInn1GcuhFyblUiUKRIk6TNNIRZRFBfwDBkgBqUZ1/Xh9NITMa
xfdv+xaqS+uxpHk1qktrefKFQ9XsT/gCPo5qvVJSMScUCMgksxjpHUV5bRmHmOtrmrB7nClN4+sZ
POiERotJDGETC2K8HV2jjlnlscohB92+g1kR8GVyJehOVnHszuUx/TvbnsOKWWdguwsxwYTl3UZb
79QYJqqBaR/eg2Rcw5BO5qGNKv88xNLDeV6sQqHS4ZlSkFK/grKggt89384Qd8p7qIbJ4d7F9WF8
+qL5uH875bLsE1NBKPRIWVnKD3ErZzfXJkOGolhFUIpcywOq3eZGMy5pGs2HfOjSM3U+jPQtkdEw
GB3AQKwHoApPW0B5uBYfffc/cZ4kk8wgphK9juXUassiZJkoiLxcKEVh4cITBCMBlMoiUj3DECMB
vPXiq7lj1c6DGx3iaiqFFTT0ZbuKcgt5JmDeScaMCloYuF1gztQomBcEamS6RbeEl/BdgutnpFJE
bOEOjZOoTocrhljZBu/IryaiV0fIqkbS7OdjhfyVMGUfUpkoDGLjc4Wakr5CR7dpSUozYRDSWhaZ
D2AkpXEk6050cwNPyoVQC/JE1jgxFYRCt5Z7RWRB5EK5ounA0YtqLQrJ1dz5lXstpyAypb3Hvb+l
9QCzJdLTVGCVsUe4qYeh2xBkG1oyhvaedsxePBe+YHHokpSSWECyKRWpaLKAvM1maiAhmYZUX4ma
shCyqoGRtI4r334trsS16D7ah6/97EMoDZZj+ZzT0Rs9wqZUU+lSDMX6nbFLwNHuPkhymKN1dlYB
rCD3fKcdyUxRJlvmVhCKNwiPGXHDbwLTAJGZRIEKWtSZ2gfcSY5rWXL3SrRtqIbb9fcVvgtidPF7
ShCUa1BfMg9Ns+ZD9FrYtusFxBPDyGiEQiClo8RkiMPQr1WyLqSEEoG/ebYN29qjuOaURl4wL19Z
i9GUhhTZg9OQN5SCTFVlS9Qyok38r67pXYDJIki6lSY72+bmNlSFR6smsx7mlt/ccSDg7kduRkuH
07HV0jwQFYrPmNA0QuQ6TXpydRmTjY9YF+kRLh/juKUPJaJJpEQBo7qB/p4kbE1HSSiAdNcwTL/C
OxJJLDOIeGaY8x2zK0/C8rlr8cCWWxyiaWJWpGskEAFfn8B5IdkNA+c2RvLjVSsJTRwrKNLMKML+
aiSMtNO1jdYGi/izPNyRKiceokoSkphXvQJtgwSVn2I3EWzoApUbA52Dh3Gg7yVoIkFZJJT55iBp
Oy0LyG/jAqxxUcPjEbr3P3niEK5c08A7yc0b2nDFyjr8/VmzWEm+ed/+aVcVvqEUZCqhiUNcveQP
MpFzga9BpbYM0WCgFD0joiLSjPe//TposUmZpif8SiYOs3W4f0+7tJMb+IgIhAOIVIRZEclEoF0m
S1n60SQXb0U8VUgYfeznUHabHlYO+ZiTglPTLiAX6GFOKLFH1EYY9xotFiSGbeShJAaZaUWXLzKH
2HCiD2FvBeLZsTxJ8fuKx1RfsQDwaiiP1EHQPMi2JdjstIhp0dacCsgZkOcODuH5lmHenZyk4UaG
nhwZTGHzESeQcMIqSNF0LvqCiD19cmhEMOhFVCcsa24FMzGcaMMf7v8+FpSfiVVnLh07DGzMa1yC
lvYtxcfwVmDRwlOwbc+zINLTmqq6476GXMY8nVbh93sQri1jEm3PcBzXv/tGPPniQ3jp8KMw4BR2
qLR1FV5qoZ8hO7mI8cKt5yjDN040hgaPN50sB17v5i5yrxomFYJNXSdbOA66byuWnMY16SQbNj6G
NPodNDU1pfJOvwX2K0khH3LncJofxytvKAWZbN1ePOtMvP3CD+Cm334TkhBwGBPdrBkRL6xZ+BYM
vtwFlfIiBTIU60TAqEZbx5G8yUTJxoaahQh6K9FQtQgrFp+Gvz7+A8yfvQLXXv1B7Gx7jPMBi5cs
Pu5rsLj/hpMRoV2Ewr8EEy+tLUNJTSneUf8BrNp7Op7e8gAO9m9h3yL/WQt4x6X/gPlzF2H77hfw
5LOPcGOfyW6UljUdXu8C4d4fRAohZFAZbsBQshuWkoRsRmBIsXyBWc6M50pJVwgqUhVugqqrjJxO
21QYpiFrpPhqHnn+9077CaYTH8NIcVRtBsmrCZz47lMbmRur1GWzzEnXaBqfu40qQk9QBSFTh2Am
HG9hi0fAgtlL0dDYCFWIQbUoT1GoSiKWr1wFQ7waD226ZcLxNEPFt276VB7iTlIRacIPv/pnjI7E
kc4k8VfmlHMoQ8l8K0hlHJf4gz525kNhYpt3sFP56xMElFaXYk3VKViwYhGO7D2Mg4f2YPhAF7dC
+/A7b8DcWYtQ11CDyopKbHrpeWS09AR6HjK9pAn9zm28Z/11eOyl29A5uB+L605DLJ5ESo05O4W7
WRRWMxYmNoNyKb50/Y85f0NJT6JRikcT+PJPPgDdNlFXvRBQVL6m6GgUOf42SSQNnh6h9CvJN69e
xty8k0nIZdU/YRWkXCFnTIcFE76wn8OqLbsPQBt+CD61AYqQ6w3oNrSBjHvvuZvhCRVYxiBHbvDC
/ddE1JXMQqlRyd4q2chzmhegt68HG5/cAFU10dHdiTIsRGrQwu7NB3BS/Xnwe0NoP9CJYNgPTTWQ
SFHTGCJ9o3ZuEkoi5Zx7ye92XNxlI5tW83RDuWDDlNWHApjPd8XZq9AwtwlLFpyETTufw5z6hbA0
YKh3hLtL+cVyWEIappqrjXGqDr1cnEWJQwdbxtEkClGXEndtmIuuWnq245yTrsBz+x6Exe20fMzK
/tZz3ofeaCeOtO9E1G17QJJVNd5pPXRwqi8JOHxUsCSsP+dqXLD+Evb36N3f/fGXsa/zKALeCtxw
/U9w5yMTF6fjZXa/bEUdBhMqvn7vfrQNFdfrqLlw3ImqIDG0Ia3GHWZC1X2kgMUnnYS00ulgscZJ
y2A/kfOwWYCcP+ourmLSRHd6N+OIaOKsaliN5w5uwctP3A/JiMCUYzwZRhMHcNW8t+ELV3yRP7dt
427MXtLMv//i1t9joGcAXSOtDG/50qduwrx5C/Lwh9wXmE1l3SY6xy6kQIZg4teP/DfKAhFs2fg0
DnTsR+fQQZ6shtt+jsJ3pJRUYekJeXD5he9HfWWTM4ltG4P9w/jzAz/HH+74MY+nIbSYTbuuvqNY
UnkmBmN9bO7Ra1u2vITS0gqct+xavLjrScS0IWga8fAK+OEPvwXTEHnH8QREdvqrvAvx/9v7Eiip
6jPf3629et/oBrppmoZmFZB9VVAkUcQNR6Mx5mXU9ybOmzPJOTOZ5Ixz3kvyzmSWTGZykkzeG82Y
8bmBjogKogKiyC4gS7N10/RC73t37et95/fdutW3imrSLe1DG36cOlRX3brr9/2//fuqLtSgY+Or
4l7md94uYM6Yu9Dc2YQDnxzGzLErEfZcffNqFknxPBgMZPbuSGBUMchgOHLqY811mcJIEZUhqf7B
COZCESG/Cy+88U+JuVOGu/fsxr+Fw5EOq9mG22c/orlJY6ur3WrDP/zo9/B4vUhP07xUWmAyjFOV
bMevIt2ejcKComFfG8dIewKdcAdacKmnCoVZpZhcMhXdnlZcarsIiz6GThtgJYtARp4dOWOyxdXc
3d0Fi0tBd/giFL0MV7f7/Xqumu6pUoBeJ0w5FSguX4fGfacQUl0wsRt8GOjvqNZKf2PjIvTBpsHu
Xvjb6VbWIukOUy7uWfvn+PWWn+DIxSC+98T/wuHdA710Py/Yd/fghS4sLs9DhsMiKSZXi1HFIGID
GNy4es13U6uWj8SMkjhidEMiVS2MdCd7vrSofLxsN0nbsYRtcJrGyyrOBMZ+bxv6xVnCUs+Bpm7r
Vz+G9qYO5OblITc/Dz5PALXnG1EyqQi+gB+/efEZqXxcMXsDHlj3+LCvObEbo4r2/np5MU7y9QXf
QH3nGVxorUxo4K2I90lB5ekT+D8bnwFCdkm9SQW7xQFf0viO2uaT+PlzP4QpzZUyS4T3zJyhMYk8
A33f8V4AKp5751exkxm5EVM81o9eq8Sb31uGHT+4FWea+xN68bb0+vDjLWeuXwah756TkaSSzXDP
LapJ61mV6jmQkWIzyhKEDHtFsdiJqoX+ET2e4s0CvKE+ROzaCmWN5MNqYltQBSYzRxFoZPPya7/H
/uNvSzXeguU3y28daTY402yispgVM9bd+m109baiZNzkz3XNg9kpbAB3oPIjjB0zBosn3Ylubwtq
2k9KxWQw5hrWGjVEtXoOfX7hEBAJqQhHXZDQzxVom/linP7Lee5GMEiZYS0AHWlyHpEoMhzZGAn8
+demxBvHGSsKiZr24ZdHjyoGMcJonElCHMPCg8X9DNIjvomkmJsSA4KGVVYM+ZixYrc74GPjacZb
VM2jxfyrju5LCEW09Pg45DQU2J02BPvCePC+x+Tv7k5O4B2+EXklAvUE+nGxoxUXOypRYJuCGUXL
4A31Y/O7v8MTG35k2IkKUzhdq4kJsQ0P7Q0tf8xqT4MSjtXJ0wVMD1iaJh2Sg4GpICPsqKYaovG0
97QKQgXjM0ux6Y3nUDHuflwt0uwW3Dd/PLrcQRm7xkChmpSKcl0ziMoZfFGbTI3VaFv3VmkVb5cJ
81gTtgT1ynBHgyG/zClP+FFMzBhp2Woxwx0MxOrOtZpvRr45e+Rc7TEo7A1s2L3k/+n7igXSGP+g
N23Y1ywl75fnjCVthX5fNzpbL0jL1PKim3DxfDVyC7VVO2r2AmYfoqoiSZj6+AWVl26JQDXHvBdy
EZobWt8mASnOgTmRYbeKLGchQooDrnC7rBKBkBerZz6AqSU34dkPforyoqsffyANjhTgneMteP3w
QLXk1WBUMQgzFa1qBqJRr6zkJH7WSNvNmRJPCEY8MtJAi5VoK7lFTUMg0Kv141Ws4mXhKskHO66o
DAsmrsD2TzbGCpU0rmApLnv2svWOxczf2JBlHY+SogqUji9Hhi0TfW3dcNrSccfCb8DvDeLN/3xd
jmGzOKQbYvbZPMyYOkeG9sg+2f2RtSlDQHt7O/r7mUelIOAK496VT2PHwZcG0mpEugHBKO1s70AQ
0AxJRjzfdhgTx87BjLybsGHJf5dS2uYe9pKKjZYzLiBgZZauCykwqTYZJJoyADkIOJ5OympNXqSZ
84GIGUtnrEBbXxOq9ldjZvHyEWn74w2E8f6pNswuyRr2qLXrg0G0tVgLSMVapvG+B0jX7GZiDmg1
IfGtORM8DMUeEH1cRUCUJiaWRqIK3IFe9PhMMDm1uR068VA4sZBItfaLZ7jTr9U3X2jtQX1nJe5Z
+CeIqAFsO/CcpK4gEltuzRFkWQvRH2pFpnMM8gr+CsVlA54r5mMNBTv3bMGug5vkfVF6OTo9HFcw
kApiimXGqpG0eK1FclM69vQN2vwomzYdWZn56OpuxvH6T1DXyl5ZA9tGDV3dJhZMh70gC1Wdh4b1
VPQbR1XTG+nAyhnrZOzEiYsHUZI3DYunL0fImyJp7HOgvsuLVdPHYPtfrJS2PnpvLKKtz4+/35bc
tf46YhASJY1x1kwPpJJrKdqEdPsx1mfzv5Ai6d3yXs9iVYA7lj6KbGUs/nPfLweyhA1qmPSOSkIw
7JUXe3A5bE6YIg4Ewx7Rx6JhM0xmG3LGjoPN6oTX68OevR/A7eqXklVPbwCLliwc2oUaWjIy1YQ1
5cZov67+ZdoLEYyaRXVTYUc0apZ0D0WJ4PSFI9hfvSm+cjusGZg1bjmmz12Mms7jMitEFQN+gEQu
tV3ChOyB3LShIsQVysRWMgpW3XQPenvdOHZxnzhVWj3n8R+7zuOPFv0SVwvaTEx155zCtDwnSvKc
lxnp1zWDyFy/iOmyWnErzJLuHEmlI1MJS6FP7/3sbTyy+gfx9Ph4Q2adwSJmmCIZ4maVxthiy5hg
s9pwvPIQdlduxPLZq7H3zLuaFJGXgvb+BvjRJbGCE3WtONWwQ/bJzoaLlj4/pOvUS2zl/RW24zyP
ADq13KugBTZbBEooXeu9ZdcevW72BCNuHKz6QBpSzJm4DOvnPYHTjYfh8SWmgeTmZKGOGTtDLN+g
ACrMzUe7txe3zrpbukQeb/hw4J6P0OAc2ZWq4gcbT8FhTX1yQ+mkOKoZRJMMqUlmsOZklDh8iMnf
hRFAde0pLY8p6Tut2i6MqNmDKCfexnrfTh4/Dz94+md49rlfo7qhHufVCOZMXIGT9Xv1X0rCo56g
l2D7D8M+v3vtN7Bi0dcQDIbQ1dKJ57f9OLazuNU/CFSoVg7ZHPRrwOLHyabdqGzeh4oxC3Db7Ntx
ouEAzjUdkS733kgnAl52tx/auQZ9wPiyMZhqnYq+3l4cPPth7IIHrpn3c6T683Lk80hiVDEIkSpg
zpU9FGSGVortwywpvLw3rIoQGtsuIOjXUuVjH8Zp0MFxxkxdUThbXYuxMNfKynnjsZ119DdifF4Z
nDb2l9I6amgtULWz1CscrVabROGHyiM5uTnSqeX3r/wKTmQgGqAbVivI1/mE6eMm6jCDxH6k7DVp
oTW6saNqEGeaDqCluwHjC0pw55zH4fL2o8V1QdLT9TFzVwK3yc8uxNSSuaiuP4djDbvgHGSY7eed
MMUGcH+o+ZuOfl8I755ovX4ZJNNaCNVE0vAjorI+mYNaIrCq6bLaq/GIYMy1G1OxxDZJjqRTikTD
sDqS3LwxKFGtgs/IV8x3kgpxGtux35yqP4j55atxpGanfBZSPXI+QcUt0onesm/f+5eYUX7zsK7V
H/Dj2NkPUZRZBpN9YGbhQKW6xuSDwWyyw2HNkfsTjLhSSzFFY2hWA1a1HcV9K76LspIZsCETDZ1V
6OrrhD2NGceJP4uGTShMK8dNMxZj7Zq7YbU78MaulyV+MtK4a844/PEt7P/7h0Eb5LpmEBcT56JU
IRLrarWWOjTSTbHpt5qbl+qO3ZQJF9tr6r2nkNDYFmogPUFR1ouEFJaeRm3iPtbbj9bW1+Gf//dP
kG+fhP9yz99oo5ujURTlFWNqxXxxtUq2sGJFkCs4bQkliryMsfC6/Whr7ISpNor6Fi01Ro0qsNut
wnA2ixPFhcVyLYzuUydZM/sbsJud6EU7IgihpqYavX2dWoWj1QKHJQsWMLKvIOwww2olU2sp9Isr
VmPRkqXo6GjDpvd+I67hiJX5ZZFY+j7vm4qctAKY/VqXyYzcTCxeuBwn649iw6qncfL0YXjcfgSj
PoRtIWRlZ6F4bCkqJs3GlIrJyMzPlHPvbutBSPXDGqvd1QKRl8n5z/XMT17qxRtHhkbG7f3Dn2Q1
qhhE6/nEHFbjZ5qKJeknesArBq2znzaqIJXazs4j65c/jDPVR1DbohXa6KyiRs0wmxKTlNzhRpyq
acT6RTNx6623J3w3E7OueOoelxdqOIqArxmbd/wOYVOf9NKNBKww21m9Z4FZ5ag3zRnhd5mQnmVG
UVYpfvCdZxDNcGDTtufxydHNctE0rX2RTu1cpTxGQfzyFQUHKj/Ae8eflyCjxWqCGuE90lzEWl2N
RrDBUFDsNBI1HRJ9fT04Wfu+9Putb+ecEK4qCpSoDd5oMVr6q/Fp1S5Etg6k/NijecjPLsCSOUuw
99QuidKT0dmUO8s+Bu5gX4K3bDhgA2q+viiMLga5AgYfTqNACWaKZGErHBEcVJUUVYKBRQUlqKmt
1lIrDKqEmc6AK3hytCm4w4h+qUB7a6eMKLv/tj/Gtn0vIIhuWBwhrZ2REpYm29KYIZaZ7wkCTe0K
Pjq6A6dqjqMgZ3xqKyw22TdxhA5zXsKad09mFA7SWCRigU/V4jzBkE/iJ0RtyzHN0cAm3CKVonAF
WhExa6O3ZU56bDVxRiMIK168d+zVpH2TeWxwh5vjKuKXDaOKQVijYQ4rMk88GNXbyjCNQzNeo0zI
kyo9UgK7rkclMhxN69KyfWMdFy3Uouga7bDh+c2fIBRQYdZbCJkGXMeDOV5YU94Vm33B/bA2XB+F
lp7FnKfLbzvVoJe2/kr6SBF+Twj2dE7hje1GTwzkgq15jIVhPR4vXvv4WTlQfl8xbpl1Lw6f3yH9
rXSkaoiXoOIMUbsJR8JSiy73wRyrTIxPzrJCUQa/J4PBWKH4ZcSoYhAZY6D0wwobohhoIM2AnQS9
zMHLH1DAnOihMmYB27SVms4gfZQae6bJoB5SSNKzZVXeijn3ISs9D5mZ6cKcrq5+Sfgz2zk2QUV3
Wy+KJiRmmeqH54pusmlt1NJsWvM7EiFdpVzhrbHuodyYzCPXZnD/dLmasP9sB+aU3iLetTOXDicw
ihFl42eiYsa9eHP776V3KNsiIaSpV5KVYtY9YU5E/GlQzLx4M4rHlUINWbX+xIacLLG3wkp8fKI+
QEdviRpPeU++/0z+GsnmvCOMUcUgg0EbY5CUZzSM1VO6gOjZrMEYg6QooDApVjz64FM4f/yi2C+e
PjfSstLgzNQiuiQUJVUrIf00kr6SDpHMI7RoxUfJteVyzKS2ppFoEIerdiEjLR2zSpegy92K2paz
l9Fg8biJWLl4Dbbs+jex24y5mnK72FVSpQRjZoIXNhviFYH8n99R2vLF85OhRTFVTUoF2FE0DKxd
9hhK82bipff/PvV1j2THhi8Ao4pBysfMRSjqhavPDyUYCwIyAhVxwOGwiOdI89Bo88fpubE5MgGr
T4sNhMKIMvXbwpnnUVgjTgRVrQubXlcuXiBOhkIa4MsUB8DACGkTfvPs32Fu2SoEfFMR9AWlE0my
TWJsdqCDzQ4sNlUYgjRDqUHnARlD1KxYUwjj6DP+LQ25k3emsv7aI6MMKsbNw+SiubjQeiLxe7cf
O3ZswYTcmfCEutHlNmS/Jpsx6sA5pmdmYNrE+Thbd0AYgwuG3u2UnSiNP6N0OXByO46FDyAY9sPQ
BGXgGkYqQpiE0vw0TB+XKblYZ5v70dz7+WaxjyoGeea//jWysx34p//7j/j4ZGwOhElBeqYFESWA
QCRmF4gqxdRuM3LTi9Dj6xZVxWSyysy/VYvXY9r0aTh3vArbD72ATldzLEVdgdXK3C4TfAEX4HRd
lkJ/vnkfpo+5Gf31bfBx6lKwU7N76GI2KXj9rRfgj7JTiAUmlY0QAsKoasiCPGcJwvRkucwI+l1Q
w+zjyybUdmmfY1LDYLyR3rhIOOZ9Ui2wW/KkAQUXALOJ/X8jCIPt34Hqls9QVjgLc8tXoLLhgNgK
a+ZvgMvlws79b4pUKs6rwKwJy3Dm0qF40ZRUA0LrQcyAJjW57s5e1Nc0YPnN6xEJmdHYegEe9MIU
tCIjIxeBoF9c2bxOeqmYBBzw+5BmKxBjn7Xx2uIQWygUjkRIh08qqkZGkjCL98cPzMR988ZLt3ci
GInitUON+Nk752Sq8XXLIDU1zUjL1mcQ6oh5WYJpUFlJJ03kNCuXEoGNmv0BdlUk5UVQ1d6Bqnf2
Y3XjtzA2oxQhxS0zw+OI6djhkA2WQe5emsOOnKw0TMrNkk4pBKUC4wq1zSfQE7ikfRbMhGqLBelC
aSjOL5d+u7Z0wBlL5QiwthtFUGx+mBACZ5MSA4txAAF2ZgxmImp1CXkXZUxBp9cXL/2taz8tfa6e
uPOHmDhxCsZPmoiXXn0uLhmauqtlUOfciatQeWkfYAuKylSUMxHjc8rRf74DaU4b9h97B9t3b4Iz
w4q/eOrnaO1owu9e+4nYTv3sh8XYibRzVWBhuaGopcxVizGGZmjF1DJ+bpbOKGabNldyJPDDu6fh
wYXF0of3SF2vnMuiSbn41vJSiaT/y/uXDyS6bhjE4bCho7sJx6r3X/6lzQsFXoSDXHn55EwIBxSE
mQJv8yLicchDk4EythA+2PsK8tNK4VIupVzcKAEGuhskwmrVOrdLZ3mL8cFHpRVRqnbmXNnDPpOo
VEa1nOkcSsQcU9EGB4+nr43t7hpk24tFdaLKSXS6mmS0eknFpHhg05AJLqkwx2r2YtG0W3Gy9gBm
TliExvZ6nG06gjmTFspsRmYmrF+yAqcbjsDtc8HKEc8mxkhitG+Kdc2PvR84uQisdrO4elW9dNms
1WMKCwvvXL2qZbOY8MCC8Wjs9uGR3x5CWywwWD4mHRv/dCkeXToB/7qrJj6r8LpjkH9+G921VwAA
EYBJREFU+eewpQfw5N3fx8s7/g1drpa4ka7XNZDMNHepVnXIITHyeG1eWZYVDvX0O6TJsk3axQ//
PJiCXlSUg/b2PrS2+iWuEqV6oZhkvzTmCTbIJoEwSOawZgsRxidXG2C2s0DLBjXKIOjlJ3R5HpmK
3kAjMpUy+NwdmhFt82Pbh69i/qyl6O/vx8yyJZg7axE+PPQWKmv2xO5TCCfq9mJMZglONexFMBAR
FexM80H9ylDTeEGkwyOZf4LaDk2NGza+ILs8w26R3lgvH2iIMwfBvrzvnmzBw4snyPd6i9XrjkH6
g+3wBVrxu62/xGN3fBc7j76DSx01hrkZqTJzE3OtFEsYZr7sCuzmdDijhYhykEjUgoClfUguSf1Y
hVLSmo2uLhdaPT643X7MKl8At68c2RnZ6OjuREvfRfS6XJg/bRXOVrEF0OUgU/31k7/GwU/34Txd
twFykar1vopyKm4Y/R6teCsBphAsGR5RKzNMJbAE0/HMz5+AN9SLLExCWpYJU0vnIts5Fn0+LUcp
HAmgpa/mitfnCfago70OoaS+wNcavT5O1PLLbEIj+HiLshzCNFSzhoNRxSCcCU657fb14t+3/Qt+
+O1fwJRpw+HDe/HR0TcGWW2T38TAwCF88KFDXMQmztIYIozHcLt96A5HMKa0EM5eL840HUZ7T712
CJhRWlCBvMJiXGqqhsUeRahH814Z9xUNW1A8uQSRoyHUdZ1MecxowCljD4xgH2IeZWLBTHS729AW
s31IMV6/B91dLWjpr0JB5gRMHnszzjekZlAjQlx92R3eH4BpkLqLZPA8EtziKTxkIwHGmX6zswbP
3DsdJxp6seVYszgC2Kv3lmkF+B9vnIbVbBLPn5zXEOp8RxWDTB+/CkG1H/29/ahtPIfdH+/DpLIZ
UD0ZsPrGAlE/bOy/bjIjooZk2m26IwuhqAvUpDnHUBvFpjWTy0+fgAnZFThbfwjpzjykZ1nlIdBF
7HNH4A52wGLV2mmG2O1casEVRMMKOjq0QGVzWw9sBTno73ajr8eNaIghaFvMbQzUtmpGox1ZmDtl
EXq8rfB6/WDiVCik9RlyFllkdokE3OhkEMPXEsux0lRHJkCqaiBBBUtPS0e+fQaae2sQjvoHrTnp
dF2S+MmcSStQ1fKp9PkdDAoUTCqcgYkTp+Fi+5UljQYTJoydjqpLhxJmKuoYiVr0+LkpCv5oUYkw
wU83zMJf3jVNrjnToaUQ0bvFl4495zux6XBs0RjtDJKfn497bv8ubHYLfF4/zl48imhEwcRxMxH0
n8G61f8tsTmaCozJLUGmMw81TadjPa21lBSu7KzpcFrS4Qt7MKlodYw0tHFn3CY7PU8S+djgWo9r
WMy0E7TkyD173LBaWcWXiXBdEBY2pzPZ8MCCv5Wxyey5JfMxJAVFS4lhcG/x5HC86yK3MZkVkYxH
d/agIn8dilfcKi7UzPRMGYvAKhd6iWj3MA2E+wtFIghHgkizZ6Czv02YQ4eeT2aOOhFRfAnlx+xN
tWben6G1RxuMqPJajEJChhBZUVI0AaqnCDnRLDy04h8S7qlorAmCxYTpZfNQXXeKY4a0zVg+ozfD
5gxPCzBtwoIRoQOrWZE56Ub0eFKrVUNx+Y4aBiktLQX/6Vg497b4+xWL7rrib1fizi/03EYzbsE9
Q9pu8bw1X/i50PZ76F8PDjk6T21g6ZS864NBbuAGCKMLl25fI7OQgYbj4iVuMMgNjCpkOCz4q3XT
pO1opoMZxgPf1XZ48OCvDwxrfzcY5AZGFX66YZa0/qHdQWbp8QaRabdI+osxNvKVYpDu7m74fD4U
FhZKFFoXh62treIZGjNmTIKo9Pu1C3U4tK4BgUAg3pCZcDqdEpzT4fVytPFApJbfcRseo6urS/bH
Y9jtdjmPcGxMFPevnw/B/KX09PSEsWf68Wkcc59XwmC/H0mcP38eNpsNkyZNin/Ga5LETKbkXiX2
7duH2bNnIytr6G7v/1+wW81YO6sIB2u68fQLx7D7R6vwPzefkWTFf39yIT6rN6QMfVUYZO/evaip
qUFaWho8Hg8efvhhIbT3338fnZ2dQqwVFRVYsWKFbM9td+zYgZkzWdZ6q3x27NgxHD9+PM4wa9as
EaNdx9atW9HT0xMnEBLPLbfcgnfeeQe9vb3yOx7nkUcewZ49e1BXVyfMQsK/+eabsWTJErS1tWHT
pk1Yu3YtZsyYkXANPD4Zbf369YNeJxn4pZdewrp16zBx4tCaDBB9fX3yWzLwUHDp0iVkZGQkMMiH
H36IoqIiLFw4xMZ0g0BVVZw+fRqTJ0/+UjII3bnsifXxuQ7pgcXWo/kZNhniuflIE55aNQn/8Un9
sBIWrymDcFVn2sP9998vN/zFF1+UB5ybm4uLFy/iO9/5jqz+r732GubPny8S5aOPPhKXrrEijh3J
b7rpJqxcuVL+TvZicHVfunQp5syZE/+eBN/Q0ICnnnpKmJNShJKF++W+li9fLoyyfft2OTaZIC8v
Txhx+vTplxl/+vlo2awm2R+ZjCDzcQV/7LHHhHj1c+LKzmNLr99YP11eC1+6NDpz5owsFGQsyfpV
Vfkdmd0oJXk8fR/JMJ6fEdwPz1U/T+O5U3JaYvvXj6lvp4OMy3PXF6ZrjT5vSBhjfK5TPFSMqi+d
nIdXDjQgJ80qaSY03L8yDMIHygevr5Rutxs5OTlCEPyfxENC4cOiGkapwFX+yJEjCfshAdbX18sq
PmHCBCHoZCZpbm6OExBX08zMTHngu3btwty5c1FSUhLflkzJBtFkED58/s39P/TQQ3j99dfR0tKC
8eNTD4rcvHmzEBZ/Q0aixON18Trfffdd3HPPPXIelGokLl5nR0cHHn/8cdTW1uLw4cNy7mQkrvhk
SG5HRr3tttvkfzIQiZOSsri4GLt378aFCxfkXnHbadOm/cF7z/3wfulScsGCBSJRZchmr6aKPPzw
w8IwW7ZsEQaheshjE5Qk+nOgysV7fq1Bwt9X3Yl7543Db3fVYPe5Tnxv7RS8/f0VmFKUjovtHmlw
/ZVSsXTm4EMgQZB4SZz66kVikZY0Ea3AiQ8pGVOnTpVVnyvfBx98IEQ9a1ZiFxESKfdLkDmospAA
SIDvvfee/H3vvffK95QsPCcSKdUmruL8nr8rKysTaTIYg5CAKOG4L+6bjPLoo48K8ZKoSYCHDh0S
hly9ejUaGxvx1ltvyW+puvA4/A3PiQvDvHnz4hLk448/lmujekhm4n6oetLuIIOR4SlthwL+jszB
4x89elQInAsN7/99990n6mRdXZ1IeO6X94qM88orr8jveXwuRlxcsrNHZvjNSOAft1Vh2ZQ8dLkD
eHFfPdbMLJRu773eEH629dywM1uuOYPQNiCBkMB1HZmEyQcjUeFQSAhfV01SYezYsXGGon5PgkoG
V1VdxdLB1ZurMldQqnc8JsGVX7d5ePzKykoh7ueff14YlefFbQfTw0n8urSi4yHZeCezcuXn6kyG
0I12GsBU/XQbhcfiAiGpJSaTHJO/JeMRJGb+zUVDvz9DsVUoDd5++20UFBQIwxkdGPyMx+L+wuGw
2IXcJ6+HKqZux5FJP/vsM7z55pty/67Wvhkp1HV65EUwMfGR3x5Eca5ThuoMN1HxmjMIiY83mDed
K+unn34qxiUJjETBlY0PiDYJX6nAh8tVk6svHyBXPRrSyaCqQy8SQdVt3Lhx+OSTT2QFpGQhEfPz
ZFRXVwvBPPnkk3EbgGrWyZMn4zbPlZAqqkunA9UTMjVXYp1AKbm4UJDxdK8cz4mLCO0v3hsyB3/P
cyaD8EWJQ2lCRqGqlUrdoYqo75MSjsy2atUqOf6VzresrEzUUDI6mVf3IPI4ZGQuFk1NTdeMQbTk
wytHzmmLEJ9nZsg1ZRA+DK7WEuGMPTwSC1UL6upcoUiUd999d8KDo2jX/+b3X//614VwqFPzofOh
GkGPl84cBI/HlZJMRQYgczzwwAOiSpSXlycYo9yW+zQaovSe0W7QSmkVkQZkToKqnf6eks0o+agu
keDJlLxGEhyvhUzN/fA6qNvzHtBJQJWODEB1j3YPV2oyVVVVlTADiZb727BhA06cOCH38Pbbb7+M
0adMmSL3RgclAq/h3LlzoiryvHQpS+bRf5OTkyMLCSUJGYnvuSjw2FyweO94HZTC1wqcSfitZQMe
yyuBgcINX6VAIR82CSEV+PBJMKlAIjaCD5UG62BIVq10pFppac8YkWzLECRqvnQY3bYkfh1kHCPo
LtalGfV/SgvaN7rqQobiKxlGSUVm5yv5XqWSmjq4CCWD94zHN4LGtg6jK3v69OmX7YPMm/wcrgXs
FrMEBJno/Ie8U3qN+lfKBrkewRWYUoAvGrh33XXXl779zZcddOvuOd+Bt4614Ghdj/ydDOO0qaHi
BoNcA1BKkClu4Oqx+UijTJT62uwiiaLfMasIF9vdMshzy9FmNPf6rqrm5AaDfA7Q/qB6OJjj4MsC
2ki0b6gOGoOKownnWlz4mzcq8Xdbz2Hl1Hw8sKAYy6fk4/tfq8Cf3j4ZR2p78NqnjRJdd/uHFwMh
RuddM4CpIzRadS8LjU0a/zTKP69awzgIPU3Lli2Lf0avED1yuluWdgV1fNonNJ4ZV7jjjjvE0E0F
poPwPBnxp3dPj+pv3LhRbBBj6sxQQWN/27ZtkpFwJTf5aIAnNuGWL6aX3DlnLNbPHYclk/OwvCJf
4iAbDzbgF+9dx21/UoFxAiMjkFj1SPFIgsRIdyyj7SRupswwWk5HA71lNNB171Yq0CjWV3nmbNFz
R+N70aJFQ87DugENjHnsPN0uPbE4yHNstkNSTW6bUXiDQVKBcQI9eGh09zLuwNgLPUokULo7+Td9
+4wb0Jjmqk+3L12idCXzM24/WJCQTEC3Md2zjBkw3sH4BeMGtD0oFRh/YRyDXiCeF5mILl/+To/X
MH1Ezwejx4lSj9sQ9HjRhiGjM7jIRYCxEaaL0CXL/dMtTKmTKgdrtCLNZsFtM8ZIqsmKigLY2XkS
QGVjv9gkW483D3ufo16CEEx8JMHoEkRfqUn4jJhTwjDVhb5/2hckOPr2mbZy9uxZITQSLAmZ8RDm
LNGFq/Xb0mrLU4GxFjIWtyEz8thkQDIACZxeLJ4bv2ecgmoQ3alkRLqmKTl27twpqhpdu2Q0qmIy
+llVRUJRdWRgledPBqTkIvPdeeedsm89dX+0wmo2YW5ptnRTvH1mIfLStUh/e38AWw+04O3PmnG2
2RWfGzlcXBcMwlgGUyMI5i3t3691XiQhMTBHoqfezxQMgis7iZMEzkg+o9hGv79uDzA4xxe3TRXP
4e/oxjXWf/AzxkooaRh3IMMYweAct+f3xuAk90NppEsPSkUmcOqp/mQE/k0pQyaj1KGUO3hQb/o2
OvFna6fg6dvKpXKQmbzvV7bhjU+bcOBC17Cj5tctg+iGs/5etxnIKFxpSZTU+3XoBK1vSwbgqk8p
RKJlagV/w8i2HhhktJvQEyKpGpH59ARIHVzlGYGm8a5Ll2RQwlGKkUF18FwphZg8SdWN6hjVPdoo
lCx0PlAC8jyozjHgSQlizLMajXBatRavDBJ+erEH3kAEd80ZK69ksKLwF9urhrX/Uc8gXHmNqRck
cBIeU1SoszNDlu5aepeYNmHcnlKD78kg9FgxRZyESQlC4jQyHvdHo5o2AT/jCk6DnZ+RSLkPEj5V
OuY2USUyVkrqxyLIdCwko7Tguerp/jx3/pYMzBoaShLaG2QeMh4lHBmGatmrr74qqhdTSb7ICsYv
k6q1avrlg4mSp9zeYJAk6Fm5Orhy66kh1N+Tk+yM2xvduJQWfA0GqjPf/OY3U35H5nnwwQflPQl9
8eLFQvhMM2GdChmBn+kg4/JF6CktzE1LBhmAqfRGkJmuVNk4GgOFx+p7hrTtjTjIVwBkCNoFuvRh
cuH1sMJ/kYFCvr4ojHoV68sGeqToUqZHi5JjsDLZG8CXAv8PiVOm2iFANm0AAAAASUVORK5CYII=