|
<?xml version="1.0" encoding="utf-8"?>
<root>
<!--
Microsoft ResX Schema
Version 2.0
The primary goals of this format is to allow a simple XML format
that is mostly human readable. The generation and parsing of the
various data types are done through the TypeConverter classes
associated with the data types.
Example:
... ado.net/XML headers & schema ...
<resheader name="resmimetype">text/microsoft-resx</resheader>
<resheader name="version">2.0</resheader>
<resheader name="reader">System.Resources.ResXResourceReader, System.Windows.Forms, ...</resheader>
<resheader name="writer">System.Resources.ResXResourceWriter, System.Windows.Forms, ...</resheader>
<data name="Name1"><value>this is my long string</value><comment>this is a comment</comment></data>
<data name="Color1" type="System.Drawing.Color, System.Drawing">Blue</data>
<data name="Bitmap1" mimetype="application/x-microsoft.net.object.binary.base64">
<value>[base64 mime encoded serialized .NET Framework object]</value>
</data>
<data name="Icon1" type="System.Drawing.Icon, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>[base64 mime encoded string representing a byte array form of the .NET Framework object]</value>
<comment>This is a comment</comment>
</data>
There are any number of "resheader" rows that contain simple
name/value pairs.
Each data row contains a name, and value. The row also contains a
type or mimetype. Type corresponds to a .NET class that support
text/value conversion through the TypeConverter architecture.
Classes that don't support this are serialized and stored with the
mimetype set.
The mimetype is used for serialized objects, and tells the
ResXResourceReader how to depersist the object. This is currently not
extensible. For a given mimetype the value must be set accordingly:
Note - application/x-microsoft.net.object.binary.base64 is the format
that the ResXResourceWriter will generate, however the reader can
read any of the formats listed below.
mimetype: application/x-microsoft.net.object.binary.base64
value : The object must be serialized with
: System.Runtime.Serialization.Formatters.Binary.BinaryFormatter
: and then encoded with base64 encoding.
mimetype: application/x-microsoft.net.object.soap.base64
value : The object must be serialized with
: System.Runtime.Serialization.Formatters.Soap.SoapFormatter
: and then encoded with base64 encoding.
mimetype: application/x-microsoft.net.object.bytearray.base64
value : The object must be serialized into a byte array
: using a System.ComponentModel.TypeConverter
: and then encoded with base64 encoding.
-->
<xsd:schema id="root" xmlns="" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:msdata="urn:schemas-microsoft-com:xml-msdata">
<xsd:import namespace="http://www.w3.org/XML/1998/namespace" />
<xsd:element name="root" msdata:IsDataSet="true">
<xsd:complexType>
<xsd:choice maxOccurs="unbounded">
<xsd:element name="metadata">
<xsd:complexType>
<xsd:sequence>
<xsd:element name="value" type="xsd:string" minOccurs="0" />
</xsd:sequence>
<xsd:attribute name="name" use="required" type="xsd:string" />
<xsd:attribute name="type" type="xsd:string" />
<xsd:attribute name="mimetype" type="xsd:string" />
<xsd:attribute ref="xml:space" />
</xsd:complexType>
</xsd:element>
<xsd:element name="assembly">
<xsd:complexType>
<xsd:attribute name="alias" type="xsd:string" />
<xsd:attribute name="name" type="xsd:string" />
</xsd:complexType>
</xsd:element>
<xsd:element name="data">
<xsd:complexType>
<xsd:sequence>
<xsd:element name="value" type="xsd:string" minOccurs="0" msdata:Ordinal="1" />
<xsd:element name="comment" type="xsd:string" minOccurs="0" msdata:Ordinal="2" />
</xsd:sequence>
<xsd:attribute name="name" type="xsd:string" use="required" msdata:Ordinal="1" />
<xsd:attribute name="type" type="xsd:string" msdata:Ordinal="3" />
<xsd:attribute name="mimetype" type="xsd:string" msdata:Ordinal="4" />
<xsd:attribute ref="xml:space" />
</xsd:complexType>
</xsd:element>
<xsd:element name="resheader">
<xsd:complexType>
<xsd:sequence>
<xsd:element name="value" type="xsd:string" minOccurs="0" msdata:Ordinal="1" />
</xsd:sequence>
<xsd:attribute name="name" type="xsd:string" use="required" />
</xsd:complexType>
</xsd:element>
</xsd:choice>
</xsd:complexType>
</xsd:element>
</xsd:schema>
<resheader name="resmimetype">
<value>text/microsoft-resx</value>
</resheader>
<resheader name="version">
<value>2.0</value>
</resheader>
<resheader name="reader">
<value>System.Resources.ResXResourceReader, System.Windows.Forms, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089</value>
</resheader>
<resheader name="writer">
<value>System.Resources.ResXResourceWriter, System.Windows.Forms, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089</value>
</resheader>
<assembly alias="System.Drawing" name="System.Drawing, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a" />
<data name="PictureBox1.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAYAAADDPmHLAAAABGdBTUEAANjr9RwUqgAAACBjSFJNAACH
CgAAjBsAAPw6AACDnwAAiR0AAOLbAAA+/QAAKhNN1jd3AAAJqmlDQ1BJQ0MgUHJvZmlsZQAASMetlnk8
VPsbx59zzswYM/Z9N2Q3lqzZt9CCJGsrxtiyTIwUrYg2hSSipEV7UWm5rSrqcktlSVKqq+gmJFpE8ztn
Rst9/bq/+8/v+ed8zvd1zvP9ft+f5znnCyAiE8bhxKEAEJ/ATfLzdGUEh8xlCLUCCRRBFB+2DmMlc1x8
fb3gH+NDGyDEtdmIyJV4IPoBxJVmy+c5MIYXatyH/x1iSfiEAAgT1zJRAu1M6HCB9id0KpfDxXU0oVnR
YRG4XoFrZpK/nxuuDxF5ogT6PKHDBfo2oZeyooh32wEwqYSImAQAUh8AxTGCncwCoBPzLopIZsXjejOu
TePjE/H89Eu41mNxkvB36d24NiK4CJYcHglgHgKAHvoxtlgEoFoFX17zjzF9PI9yJcDFwz/G3vvxWSFy
TcmR5mb8IUTEFYD8lMd7rwMgVAAwns/jfdnL443vw9fcCXAtjpWStHSCF4LcAfi3e8GeJwLDJ0QAJVGo
wnQRMXFJKWlZOQVFZRU1dYbmJC0dXT0DQ6axielkcwtLK+sptnb2Do5Ozi6ublPdPTynTZ8x08vbZ5bv
bD//gMAgfB/zFixcFBoWzoqIjIqOiV0cF5/AWZKUzE1ZmrosLX3FylWr16zNyFyXnbN+w8ZNm3O35OUX
bCvcXrSjuGRnadmu8j0Ve/ftP1B58NDhI0ePHT9xsqq6+tTpMzVnz52/8NvFS5cvX7l6rfb6jZs36+pv
3f69oaHxjzt3m5ru3X/Q3NzS2tr2sL39UUfH487OJ0+fdj179vzFiz+7u1++6unpff36rzdv+t729w8M
Dr4bev9+eGTkw8dPnz6Pjn4ZGxv/+pVH7F9ImCYiKi4hJS0jJ6+opKKqxtDQ1NLW0dM3YBrhAMwIAFNs
/gnAnAkA8ycAsL8BSPwOYPl3AFkEAT6ArT8RKNu1+xcEJgAICAgA3PgbgHv3cQAtLa1tvwTw8juAPgGA
dziA4eGRDziAz59/7B8j4wVAo4uK8QnIyisoKvFrQAMvAm1dHIIhn8JkHAO/EAgQEyR+RiEohm8w5vFp
8OvhO4+En4Ck/Z3Ihp+QfKuJb0h+xUSAZKIoCCQ4k5+QEBXB5/EEp/GcYPEKJ/EXUQgDRBngED4RBMbx
/YOg94mgWAHsw3UgDcB/L8D2GgBdOwD5AQBf/JvnbwNosjmgkZGAytP4/UN8IBHAgALCIA5yoA4GYAVT
wR/YkAobYTecgUbohq+IEmKNBCDJyDakBnmEfEW1UW90KVqONqKfMX0sBNuEXcWGSUxSBGkX6RFZgRxE
LiF3UjQp0ZTTFJ6Ql9BOoT6qC7WYOiTsI3ycJkZbQmunu9GrRNREtoiiommiI2LJYu/FU8XHJbIlJSUr
pCykGqTDpb/KlMhqyR6VM5O7JO8p36wQrjCsuEFJVemMspfyS5WVqvKqNWq+av3qeQwLRodGpqah5oNJ
K7RMtDq1N+s46PTrVugF6Yvp1xlkGLoZjjMvG602djEhmzSaFk5eYKZrNmR+1SLPMtzK0ppu/WLKBZut
tmw7B3tV+68OXY5XnPY4Z7pEus50M5/KcJdwH/MY9Gybdmv69Rm1M6971Xs3+tyb1erbOfu13xd/yQDd
QPsg/2BOSO7c4/Oa5/MWmixaFJoXVs9CI5zY6ZEXo7EY39hdiwfjZySUcmAJK6mea5pSniq5bH0aNX3V
itFVa9bQ1m7LVM86l+2V07UhfZPq5totwVt5+ce2zdsuVHS8uHhnddmLcokK+32cAwcPth0RPjb9RG5V
3Slejdu5jAuNlySuBF3bf324zuVW/u/P/rC5u+nen82WrQUPhzr8Os93KT5P+/PpK9/e2jfmbysHdYdK
R2Q/Fo9qjD3i8b77T8P9lwcNYIINTIMQiIUVkAeVcAlaYQChIXqIBxKBZCGVSAMygMqhjmg0WoBeQfsw
FcwbW42dxnpJDFIwqYB0lyxG9iFvJbdQlCnhlGOUT0IeQoVCPVR7aiG1X3im8GEanZZAa6O70E+IqIrk
iiKiy0WH+e4vFR+TWIe7v+df3ffG3V/Fd3+22qB6AcOK8UQjW9NE8+GkDC0rrZfaRTrTdL7ontSL1FfX
7zAoMQxhyjIfG1UYs02YJh9Mr0/OM1tobmQBFg8tj1hlW4dPcbRRsvlg22J31r7MIdMx1snP2c5F11XK
DdyGpr5zf+7R6Xln2s3ptbj3tV43vG/7NM5q8m2Z3eXX748ESAdqB1kH+4ZEz82Yt2d+3YKBRcqhzmHR
4cWsNjY90iEqLfpyLCx2j8uLf5pozMlY0p5sxs1PGU4NWXYtzSC9fKX0qlzc/ZxMLGttNj2ndIPexvOb
fXLfbN2Ur1tQW8gqktnxpORhGWW3xR723pL9dw5ih22Pxh8/drLnFPNMytma858v2l/OunrvuurNsPrq
22ONPnfKmt4+cG3Z0fbqkfXjvCcvnzm9KOp+2+P9uvzN5/7AwcvvNUfWfxwYXTA2OOE/CnSQwLufAcbg
AD4Qjvf+Ftz7WngK44ga4ow7vwGpRjpRKmqFRqE70EYMxeywFKwaGySZkbik38gY7nkp+Q3FkVJI6RPy
FDpApVBjqQ+EHfFuV6cV0SXouSKiIltFZUX3ipmL1YsvEP8ksV3SSrJTKkfaSrpXpkzWTbZLbr28sXy7
wjpFK8VepTLlOSo0lWuqy9UscI+rGMkatpqY5q1J+Vqh2sba4zqNuqV6CfquBgoG7wwbmZVGmcahJk6m
jMmkyT1mDeZVFjstM6ziredPmWFjbatpJ26P2Y86DDp2O7U7N7vcdq11uza1zr3Oo97zBu5s44zmmZ1e
vd7DPjxf2mx5P/05Tv5BAQmB64J2BV8I6Zg7Pl99gdPCsEU5oVVhnSxqhCWbHVkc1RRDjXVfnBlXG89L
dMSd/T1ZmhuaUp2KLvNffiQdXRGy8sxqxTVpa9szXbNOZivnZK0f3Mja9CDXY8vVPNv8C9tsCi8WOe6o
Kwnc+a5s226D8jsVifuk9l+sjDxEP1x1NOG4+om7VatOmZ8eqDl2LuaCwW8dl0rxPpepbbmxvS7gluzt
5oYtf8y8S2uqv7+s2aylt62iPbhD7PGVJ4u7lJ41vOB2K7y80hP7mvrX3j6Pt88G0t/JDh0ethlp+Djv
U9/o+jGF8Q7Cf8F5kR/kGO8wFvyfIz4u5VtO4m8jwk4ImINfqcQ5lMP19f+mIQa8IQxYgnMq/38mAVCm
S6jz3kn/lZfLXsY/C7olcpYnxURFcxku+CmdzXBLjOekcNlJTMb0BJYxk2FmampJPPcfjwiRTEreBmwA
AAAJcEhZcwAADsAAAA7AAWrWiQkAAFRySURBVHhe7Z13nFXV9cWHXgeG3vsAoohYY6JGg4kpmqgxxpim
iUk0mkSNMbHHHjUqIkqzUEWk995770hnYGZgZhhgGKa3d37fdd45jzuPGUAFyy/+sT/T3rx3391rr7X2
PufeF2OMifk6/nfPwdfJ/x8vgK8B8DUA/nfp72vpMzFfM8DXDPA1A/wvM8HXDPA1A3zZGaBnnDEj7zRm
wdPGzJ0XjvnEQhcr+P3Em4zp2/Z/uZI/7Xv/EjMAiS+Z1tOYJby3tcQ6YgOxidhCbCW2EzuJXcQOYn2C
MasGGjMKUPQl+gsY1xgjEH3Zgf7FHN+XEwAjY7qbWR0yzIKLjfn4T8bsf82YwoVRAPiYn7e5xAsAewjy
b/YRSYT+PpV4n+jvoh+s0Q+A9HvAmLe6fw2KL2MXkPbYnWZeB2NmtTZmNPgMxtLvGLP3OcCwzCU4yAK7
HQj28jXRgWC/+35+FBAigMgAHONgCSTmf1NCvjwMkPXcNSb7xXkm72Vj8l8lyT2NKXrbmDS+3/J7Y2Z3
LA2GVbB7zuwoFhAIPAsIBMmEQJDiALEgwAYeBMGv/daF2eF/BwxfPAAyHr/GZD49z2Q/T0L/Y0zeKw4A
JL9kmjEhkhZaROLwAjmjYfa7YPZmx8Gw6mZ+P5e/ey8QLQUeBAd4TKoDyAy+jiGGnAwQMIM8xBejzZ/X
635xAEi4P84ceXSgOfqUMceeMccBQMUXDKL6ZwIAJDsEfVsALHYhU0jsfZzGoGsACD+FNWQWg1IgPxBk
AoFAbCAgSD7888orfFgOGPokmOLeD5iM/59G8osBwMEHHzCH/plhMh4z5uiTxwGQ148kTgknvxh6L6Gy
LQBE3UpWEAgOEAKCZ4QJdWD8vuWAQMYwyAYCgsCxwj3vUvd1Il8HBsDAMZX04Zh6Z5iCnk+bjH//v+oo
Pl8AJNwRZ1IfmGfS/2HM4X8Zc8QBIIuqz4PeC0h+IbRfBEUXz+LEzznOAkZdgAdB8KuAAEA+xidMqBlm
hKXf43nW8fugHCjZ3hx6IMgfiBXWE7CNbTl9AEIzDPA5ABT35rh6IU+vZeBTaDH/f0jD5weApLuvMQf+
kmHS8FjpD4UBkEH1Z9Om5Y3jxE4AAJMJ6LhoupOAAAsoyRYEPsoAQ84IsNAtDAKxQQbPFwGBugMvCR4I
nhUECM0RAFxEahzDhAREJEkAKHyD43ud4/0vvuPFBCPj+hUHwucDgH1/uNPs/zPy+xdcvQPAkRdI/nBO
5ChjcsdyUscDAuhXICiKYoGQkwILgmAEARFgiI/vOO4N9mIqI74gge89EASGICA8QyjxahsdwEI8r2So
ZBLH9Q7Hx0xCRjUXw5rNe8h8ZpzJwM98RYFw9gGw93cDTdIf0WYPgPuhfk5i1gecQIxXzkhOJvQfYQFO
tPUBgKAYKSihAkNUZkgUrcQoooHgfw4A4iCyMqF2GAirbuF/NCzyBlFA8CFARIfmDHodn3xeW3IkX1L4
EcfK8atjUeciA3vkyQyT/uhXsmM4uwDY85uBZt/vGMwJAPfAAH+D+ntSNYM5cUMBAQyQDW3nwgJ5tGX5
46gwWKBQLIAUFCMFxeoGHAisTgeBcApAZLzH/KCNAwFdggWBB4IHg3xCMPR7IoQ5DPH6Ap71IiRf5lTy
JJbKfYvjZyh1DDsgIys/k/7PgUbdzVeIDc4eAHbezsn4DSwLABL/AADuNeYQJirjXU7YQE4cPXgWJsuy
AFVlQYAU5CMF0SAo4cSHSICYIAICD4ayABEAhsA0Oz4MgtldANcankMzAz838KDwX/l9CD8QYp2hBGYp
gY2UfAFR5lQmVWY1H6bKBcTHnuX9PAEAHuX9/dOYg39fZ5Lv7/5VAcHZAcD2W+80u2+nsADA3jthAOb5
ouQjOOoMdPQolZmJsRILZCMFMm+5SIE6gXxAUIAhLJTmcqKLJQVUXSkQaPCjCIKgvO8BwwkgWM3/aiFJ
xi8Y/E6JD7HGEGJOEGI9oZjXKYaVlHzJkuSpgGOTaZVs5QDgo0jB4UcAwMMCgJguA8n7SkjCmQfA1huv
MTtuhWl/AQB+DQDu4IT8G3rERR+mnz7C6FUskIn7P4YUZAkESEGuk4J8LwVRICghASHHBNat+/BgCH4t
AwwCVIQJzuH/tZAUFT7pSnwJK44lm4mNjvolTS75YiiZVjGWppNisAxG2GpvDz7InAmpO3AfY4e7Qf+X
u108swBYd3Wc2XpThtnxMwBwG1L6K06CqqInJ+dNKgTdPMygJmMAVSMQIAVZAgFSkCMQyGAhBQJBAdVV
6EBQ7JigRJosEOAJSoEgCAh9XxYo+F0hifMg0FqCXTF0ESLhNpT0TeHEl2wg1sMA6wABMiBmUvIlU0q+
zKtMrHyMTG0GLaK6nJS/AgAkL/luCuAu3vyXFwRnFgCbrx8HAGBXXPfOn2O0MX+ptExpuGaB4BAgOMyM
X1JwVCBACo4hBVn4gWyBADotCwRFVK8FAcbQgsCxgSEppSIaCGX8LFDNbueMoUBAwkMk3IZPeiDxxXiG
IiSjaBWJl0QBzhOSD3glZzK3h3mvanfV9Uj6Eu+CCX8L0r+cIDhzANh43U1my/WM2G8EADjunUhAMtSf
8hIgYHAiEKS/AQiQgiNIQYZAgB+wUuBAkCM/AAjyAkxQ6JjAggBDZ0GgRSIPArGBj2hAlAOQHJLlW0Qt
L4dIeIhKV7WXUO0la3kdEl9M4otJfBEdQdFyGIRxsUCgypdnkXeRfB0DvJIzmVt1Hum852S6niTMr0xw
wm9hQ0zxlxAEZwYAov6N12WYzT+CUX+MtN7Mm1YV4JAPMCxJ5YSkAYKDUGQ6ncBhDwL8QCYgOAYIsgBB
NokRCHIdCPKRgwIqzoIA2i2Cfi0I5MwFgiAbBIFwsu8dKDIAod9rcJBjUNJLSHqJS3rxSl7HJb6IuUAh
I+JChkQFSEkOyfbJl3wp+ZIzMZrk7TDgTsMYqvplgtUN7f4lfvPn6MOXiwnODADWfqen2fg92PSHAOAG
GAD9T6Q3Tn4aAFBhKS8CAkySOoF0SYFAgB84gh84KhDgB04KAiquAM21IIDCix0bqEULeSA4MBjN8H2c
DAg8JgHHbsfGsVQ2iS1xSS+m2hVKfJFLfCGTwQLawgK6ijxYKFuspTYwmHyAJHmT2U3n/cn8ygTvwQvJ
FMscb73xS2UMPzsAVnyru1n3HbbrfZftej9g8wYysAcTtO9xKPApWIBJ2QGqIYXJWRp+wIPgsPwAJykj
CgQ6sdl4ghwqKxd6zYNm86HbAoHAsYEFgdgAIJTACBYIJCUaDJIJEwgrGwqBxcXKHmEQzL8onPRikl4M
1SvxRVS8El/oEq/qz8dX5AMsOf9jVH2k8gPJl9kV06XBeIn3h6t/J0Uhc7wN37H5R92/LEzw2QGw+lvz
zLqrAcC1BhngDYL0BJz/PvriREAgH+BBkOpBgB84BBMIBEeiQJDl5SAaBJzwAkkCQCiEDYqQhQgQAIMF
QhAMHhBiiGDo9/IRCoAjvzG1cRgEm6FsJb1ISWcMrMQXUvFKfIFLfB7MkQd4cvn/Y7CXaF+G1le+T75M
r3YzpQD6PfiAnVS/vJE80ubrMzhncV8GEHwmAOQtvuw7ZvUVbNr9NiuqsMDG7/NGaX/2PAT1/RMQMB1L
YkomEBzAD6TIDzgQpAdBQGdw1DHBMSrJgoDqypbWQrO5+II8fEE+bFAgNgAIhWIDDwQvDWIFgUHM4NnB
AyPw1UqIDx5/mGr1fuAQCVXSC+cRgcTnu8TnAaZcgJPL/2dzDBmAWIZWtC+Dq8r3yVcHdID3qwLYAQPI
G8kjbcErbbyOF/ji/cCnBkBMTEwFs+LSBLPqm8asuYpd29fwxmj9dkH/u/E6CYBgXwAE+4MgwBQe5OQE
QZAhJuAkyhNYEJCIUiBAEvIkCQKC2MADQYxAIoqCYPCAkFQEQxM9frahxyhkMPnfTTCXQDC1KT9T7QXq
+6F6JT6filfi85R4gJTL8+Twv9n8nzoYAais5Ev29gP6ZMC/m5ZQ1b8FjySvJM+0rscXbgo/NQAKllzw
O7PiElbaLjeWBeQDttH3iwEEgj0PhkGw919IwWOcBExhEARpUSA4wkn0IMikoo5Bq8cwh2ID+QLrvD0b
AIT8KEawrODB4AHhQSG5UOhnF5ZBCOstCL3G1EZhEGzCtRfgFZT4fKheic8LJD6H51L1Z/GaWbDSEXU3
b4S7HNG+DK+Srw5Iyd/HOZD2++rfBFPKM629JsMs+0bbL5IJPhUAjk5uXc8s7pZgll9szMrLAAAssBF6
20bfu+NuQHAfiP+bA8E/wicgKQoEqZycNE6SZQJOmjyBQHAEGs1AEjKRBGmsZ4NsJCFHQMAbaBEmzzGC
BYIDQylmECB8CBjue+sjfIhFYBNJi0IgjbSGMJKSngfV51HxuVS8Ep9D4rOVeJlAXjcTedK6xkG9F1rd
SPIxvmqDJYE7MIGR6scoq/rXYz7X4p3kob5AKfhEABDtK4oWdHnGLOrK1qsL2VIHC6y+Empj2LEVs7Nd
IGAIEgTBXkCQGAWCFE5OKifJgkBzdEBwmAo6TCUdka6SgKNIgmeDLGQhG1mIAAFGyBUYBAR5BLFCgBl8
UgWKSLhE27854FhZ0exBwXMtujQMgnnn8zNSocRrw4pPfDagUdUfcwOgTI5BA6BDHH+aKp+WV12PdF/e
Z9edx6tfcxJf/ZLMtUjn6m+ZoqWXUj1fjB/4NACoaOZ35qqdc9k91c1YFlgLpW2m1/3YgwApEAh2OSZI
QA4EgggTUBWSA4EgRSDgpFkQUEGHMIfaM2AlATY46tggU2yALESAgDRYRpA0CAhBZnCgyCepFhQ+BBQf
PEYJF5vo/23wXAKiADCmIiCGxexiDxXvE689DHbyx+NV+Uc5Di1uHeHYUmh7Nfewyef73XQV1vj9JNwe
q00OVv8apFMSuvySBOupvgAQnDYAfPVnzWjfw8zrRN98DhtmYIFlsMA6jI1MlAXBHTDB72EC+QEHgj2c
yFIgoDtIBgQHdMI4WSmcNAsCfEE6kqBqEhscgQ3kso+KDbwsOH9ggcCJt6wgn+AlgqTkih08Q3hwRH21
wFEIROo49Bwynjznetq1cVWMmd4i3O/bxR6f+JMMfw4iawK25h82+a7tixi/68LtsqpfxpnqtxKqIlpy
wdNfBQBULJjZ7lkzpwMU2ZmdWbDAElhgFW3gBvpcgWCLA8E2QLDDgWA3TBAEQSLdQZJAwJxgv0DAexcb
pHECpaXp0WwQDQSk4ZiAACtkeVbwYPCA8KAQMFwIJDbRPvRYl3QBSgwjppGrn9KAi45r8p5uD69W2ooH
MH7wo3WMDB6raaYWuLTQJSOYzHtT8n3PL+NXivoxy2qbZZxV/SuQHBXR4vMzvggWOC0GcNVfka+Vi2a2
WWBmtWfFtWOYBawX6M6bwdBsBASbHQi2wgRBEEgONCFMeAA5oDuwIHjEgQDzdcBJgnzBwSAbIAtaYTuC
LGQ4IESkQR5BYJBhBBBZHhAkMlsM4UPgULiflWwLHHUaCv5PXsPOItSKktANPzNmUiws0Cyc5LISf4TH
aV1Do+10GEtTzgOY3R23RLn+aOrHM6l9XuGqX+dvcVdTMK/z7z5vEJwSAJ76+VqJqFoyo9VRM4vOZbZY
ACnwXmDZRdAZlKZuIAICPIFAIGO4k+5gl4ZEHgR/xxM8fNwc7neSkAIbpIoNygMCJzpDYJBHkDzIJyAR
mZKIICAcKCxTBEO/V0IVSrZLuJUZdSA8p/yHupMZzWkNYQK9H1W8ZhQaXWs1U2NsJf4QoNQ8Qx2AWlt1
N7tpI23LF6X7paj/G9L+cPWLRReda0rmd9rLOVahfW5+4KQAiEp+lZV9YjuHZlARM1uzAtsOFoh3XuA8
WOCCsJat5I2t17DDM4FAQHewIwiCv8AE98MEmMN96hACbHAANkiBDVLxBqnyBg4IWmI9hDQcEiNQadpZ
LFaQT7BeIQgIB4oIMAQOwibZh5LtEm7/l7DPxXPKf8iHrOV9TG8M2AG82lS1p5IHK1HqXiRZfC/3r25G
7CUpS+R9KfmbVfkB3beuP0j9FI3O22LO30LYdEFHkzW19bWfJwhOBwCW+olq29+p+aOQ5ubTWwKCNpwY
pMCyQBcQTNu0DCrzs4G19Lmbfh72BFsFAtqhHWjjzj9RIX+GCbwvQBL2SRJggyRaxWS8wX68gQdCioAQ
YASdeAsGKvSwA4MkwppGhUDh5ULAiAo7a3CgsY91/2efQ/MInlNGVEmWoRPgZ2EGd3D8aRyfNntou5c2
fNg1f95Psn7W32AvHfd+3oPcfyT5Zej+cp98JHQR528B55HL4pHYwY5tbct9to1huQAIVL+SX5WolTGy
bp/Q5EbGTIMaZ7TixFAZMoTzMYQLnSEUpWk2ICYQ2jdQRR9rEAItRkCAOdzFydvtJcGxQSJASAIIyXgD
ncQgECwjCAiwgq08fILAcMgxw2EBIggKdRJKalmhvylIthIuMNmq5rnsQIfnliEV+6yhd58N40HRZSZf
O5617q+NH/t4X0l6D4BhFx5I0z6tkcj0rXG6712/dH8JRaPnXcj5mw+bzoVV57Q2U1+o3ejzAsGpAOCr
v/qut5r+qGRcIxOaiCZOaRpukSQF2l4lQ7hAbSFUtgRKkx+IgABfsJa2Z9NNAOHXgIATs91LQoANEmgV
94oN8AaJyEISsnACEOgYrEcADGkeDJIIkpXuAeFB4SVDshEdajd9uITrOXzSJT16Db3WLipdidFNK7Sc
aysfP2O3ewWSr3V/7fzRRtgEfq8VQDvujU5+QPc99c/n/M2DTeeIVVua7ImN/+BY96z7gTIBUFb1F49s
ua94XD1TMj7OmMnIwDSocYaTgjleCnxX4EFAi2OZABDYBSNkYbN6Y07Udi8JATbQLqK9AGFfFBAi0oDD
PiCzKJ8AGFLlFUhSWhAQYgiBwgND4HBhmcMHfxeb2ABMYhfJjZIuD2KHOryWWGgx70cUrSq2yeeYlfx9
GFxVfjD5WvvfReuo9X8NfiKVz3lQUYghl2L6bPKPU7+ZK2MNq85sziUHjYY61pXxPqtScDIACH1ViOqZ
g5r/x4xsZYrH1DElY+vQHjWEBTwIglLg/AAtjW0NpXPqc1fS70ZAQLu44XsAAUbYRrXs4ATuhEJ3iQ2Q
hT3IwglAcNJggeDlQWCQVyBJKVGAiIBCwIgKKyUKMUkw2Uq49NslfT/PLznaS8Vv+H44WYtImqrcJ3+v
Tz7ypsoPJj+8+yfc7qkIIsmX6Qvo/nyYxSd/FtI6vSnbFBoeHf5orSbu/FsQnC0vcAIAAj2/bfv63l2/
RcmHLY6akS1N0ahYUzK6tjHj6wMCvMCUJjABUjDDS4G6Ag8C9K0UCDwTUEVrAYG0UVOxzXiErVTLDih0
J1UVDYSINOCsE708yCdIIgDEfgcI9d8WEESKQOGBIXBEhWURBY9VhSvZChnQJORnnwwqx6NK1vZ2reQp
aWrX1N6p8u1eP9F+MPl0PnbnD8nXzmhNAgX8MpNfWvet0ZyBtE6jsGg9D4+oc7eKz0nBWWOBkwFA5q9G
5vtU/0dQPVH0UW1T/FFNxqT12EeHF5jEwU5BCkr5AYGAN6fOYPHJQIA22q1kgEDzcS2SbOHkbuXk7aDK
IkBwHUMC84OIPHgwiBnkFwKAiIDCM4XMZHRoAOUDECUiOXuhdiVdVzRp/54Sqa3t0n0lU0Mb0bcWvmzy
pfdKPl2Orfwykq8t8usAu6V9X/kB0zcvbPrMLEkp59EmH3adXI+d53Umc/5rnm0pKA8Aqv5qDRo0iC0e
2WpfCPoPAYDCEbVN4fBqJjS2rgkBgtCEhiaEHwhxh47QNOcHZArnORDYzqAMENhNJHQIMkgajmhpVIZJ
bZN0U6NTu8X85vAG0x3Q6y5kQpsqEqjOCBjoHuQX1HdbdiCsCxcogqEWk5+V6ESZTaTGGjWf8OikC4RK
PBWsdk6J1DFqcCMgiBks5Sv5/n8FFl/57n+0CKT3VWbyj5s+m/zpsKmSP4XimlQXr1XrKDmIdSwgKT4r
hrAUAALmr0rLli1r7OjT+obQuLYmNKaNEQgKPqhl8odWNcUjayMFHOTY+qYEEJRMamJCMEEoMh8oCwTB
7oCTKBCoTZQ5lCR4NpA/iAaCaHcrJ1OaqoQoMTtktKg8xS4SsUsJoSIjQYXuVoI9lbtEqVJtqMJdlWu/
npLnq12vIdrX6ymJ2uksYErLddw6nqDeB5nCA8auAPJ/mwGy1fxg5Uclf4ZPPtI6uS5rELH2bieP3xrT
Tu332WSBsgBgtb9Zs2Y1M0a26xua1N6ExrezIMj/oKbJG1TFFH1YAxDEmuLRcaZ4HCCYCAgmAwLdq8eD
YA4gsJNC5EAGyhpDgQA61LBIlWR3E6lDkC8IsoGXhShGUCIsGEiMqtImygFCNK0ZvJJowyVVyfXhf+cf
o/+x4SrdJ11gs6NcXk/797SFyzt6Het6ji9C+QGZsMl3oLHJ53838b963wuc5gfaPTl+o+RPk59S8umw
bPJrIbPVzepXK90UYAFJ8hlngbIAYKd+V19wQVzhtPjEkqnx7LNsz46qdqye1mQ9pZLJHVTNskHhh7Gm
cGRdUwwTFI9vBBACTDCLnjYCAoyhB4GMVAQErk0sxQZlACHCCJxMLw8RMDhmsOwQAEUEGCRXCfbhQWMf
66rcJjyYdKpWr6NRrryJnehB5XYTh2MrD6btQalQ8h1wfPK1UVbSoUGP1XzOC71+mcmfRIdlk1+D/QhV
zar/VryLXNSLZoEz2RFEABCkf1X/e49c0r5kdmeuyu7IVdrxXBPZnot3arKOUpE9GZVN3uDqJn8YkjA8
DIIiKweAQHLgmUB3+7Qg0LTQg0DDIkCgDkEDI6+rahVPkAXvD6g46xGcWbQ+wYPB+QUPCCVAybSSUU7Y
xyhU4QoS7is9mHS9np3m8frqWoJ+xV8Dadf8vVwEk88xKvmSNEmHnfKVlXzMtCrfJ388yR9blU0plU1i
vwpvkBdNBb0XUHGe0Y7AAiCQfGv+GjVqVHv9kPNuKZl3DndF6WwKp3cy+ZPjWQ6vxU6tiqyJVDQ571WF
CaqzoaYmu6sAwSiYQHIgEEgO/KDIgqBtGATzmHhpYig9tOYwKAlUicakXhYi/sAzAgmwZjEABssMnGQL
iAAoLEs4YNjk+nC/t9UtAClU5YFK90nX6+j1lHQ5eT/Rs0DkNf0lcEp+hD0cc9idP2INki/wCNhy+7by
kckI7QeTr/Zaya9mk29GVjS7esf0Jh/NiDjXEcgMntG5QBAAdvCj6j///PPrpUzu+kYxS71Fc7uY/Bmd
2QrfyRwdWt8cej2GFdCKLJlXZr9mVZP1YRNu7tHMMkERICgCBMXqDuyMgDc7k/52FsMiCwJNDAUC9FAL
IL63LgUEyYIHgjeK8gjeLIoVosDg2UEn3YLCA0PgKCP845Ts6ITbpLtqt0nndaX78ipKpF5LwBFzlNJ7
Jd95BS8ZSr6eS7KhPr9U8p3m28o/MfnmoxiTMbzaSnLSmmhI1HZm8IyyQLD6rfbHx8fXad++fePU6V0H
FTGuLJx/rsmb1cXkTO1sjgxpwJ6HGHY+OxAMbmEyV99nsvc8DEC60CYCAroDMUEoMi1kuKF1dQsCKNDO
1d3ASEugYoMIECQL3iQ6IESkgQRYVvBgEDNIjwOAUPJ00i1LOKZQwiIR+Jt9rELJdgmPVLpPOq9nE488
2WkewLTXP8iMes/gq17JD/gFDyQlfw3HapOv6alavWDy0XxV/jgqfwyVP6oiMxfqUsGiW+GUZknkRVPB
uoQfDJ0xM+gB4Bd9arRu3bpex5YtW2Qs6LaqcOn5poAFnpzZ55qsaecwnWplDrwSYw68RLxcwRz+6Cpz
ZNJPzbEFvzLZ627nEr4G3EQLEIxhTjCefpbuIDwydiCYCQVqZU1soMUVLYKIDaxBxBuUCQT13t4sep8Q
AEMQENag+RB1lxeidEfrwSrXbEIg89WupIuN9PryKhpt6+/yFv4qn0jVK/neMzjpsMkHTBoeCfylku/c
fnnJH0c7uJj/Zdl93ks1fkai6jsZ0MrsGZMBDwDb+mnwo+rv1qlTu6RRXdcULO9m8tDq7DnnmWPTzzWH
Rrc3SSQ/6fkYs//VOiZ99PXm8LgbzNHJNwGCm03enEttq1hIi1jCGwhNYFg0CZ2bQpszDUnQ9ipJghY9
LBtIEhwbRGQhCATnEaxZVOvowUBSbE8eBIQHhWMJAeOkEUi2rmsQvftK90nX6+l19fra62A3vfA722HQ
PooFSlV9wCx6YNkNIBybpn1uyBNp9XzypfnByh8NG6yiu1iGlAGaWc9Vv+1syYAAEKn+evXq1VX1d27b
tnPaR+eZgpXdTd6ybiZrfldzdOZ55vDELibxPzEm8TkYoG9nk/7R9wHFD0zGhOvNsak/Nrlzv8UNNBrT
HtY0JWNqMy2sAwjkcKG8KbCBRp0sdoQlIcAGQSBobVz+ICINzizargF58GCw3QOVadnBASICCgHDgcMm
Nhj+b47Wg1XuEx6ddHUtMq1iKR2XWj8Nf9RGlqp6p/feMNrk89qSMb1fJnzHk1894vZLJV/UP51zsPkB
GJL3C2gmP1X99rMlAx4AdsNHbGxsg7ZNm7Zp37Ll+akj2aS4+kKTt7w71d3NZMzqatIBQFLvOmZ/v84m
ZfBVJm14D3NwxHfN4THXmaMTfmCyp/Zght2EGUF1BkXHQWAsCJCEybCBLr8SG9itZc4b6F5+tl0MMIKA
EPEInhUEBrWQYoZoQFCpFhQ+HDg8SEp9dY+xtK7/U4UrOOECmp4/knRN8ZR4QGm3bXFc6gA0DtYswLaI
ZVB+UEbkHfT+JmL2dD9jhjy+1Tsh+QLAIip/21OcD16XyeCuAdXVDbSI6gbOiA8QAKz5I+rUqlWrcatG
jTp0aN36YgEgf+1FJm/lhebYogtMxpzzTfqU80zqiItMyrArzIEhV5qUod82aR9cbQ6N6mEyxl1rsqZc
Z3LHnWMKhlU0xSOqmZKRNZggarCB3o0X+gHC5CAbAASZI98pnAAEeQTND5xPsKwQAIOq0s4USJgNgcID
Q2zhGMMn1/7sQ4l2yY5OuK90n3S9vo7DDnPwLmor7ToAY+jojsFTfsQ4Ov+g9+Ypf2wVWr1K0H6F44bP
G78RAGAqr7XzZQDA+5tchxlL9WPkpxXRQIV6JrsBAUC9ZQ2hq0aNGs2bN2jQuUWLFpcn9Ols8td0N7mr
AAAbIjLmdTMHJ3czacMuNwcGX272D9LXbwKCK0z6CMzg6KvNsQnfMTmTr8YHVDbFwyubEkAQGgXaxwj1
anVoeSYCBLGB9t1r8UOyoGVQsYFMoroFCwS1jeoYZBY58WyYPA4GdQ9eJgQIBwprIgUKBwxbxdHh/y5K
5/E2HLULYCckndfVmr1GuDoerd3L2GkZWKuC3ujZVjFA+ap6ax6dh5AEWKfvkj+ynORbAPD+9vTidWEo
bU0fX91MfryiZKAxoaGQCvaMjIYFANG/lh0bVK9evVWTevXOa9aw4VXr3+i8JX81HcDK800ml4AdmQ8A
RjQ3aYO7mwMDLzHJ719i9g+81BwYdJkFRfqIb5nMcVexnenbXMEdZ4o+gAWGVzElH1W1IAiNUaujlkfu
V0AQG3ggIAvafSsgyB9EGEHDEwcGjVE9GMoChJULgcKHklleuMeo+9D/2Qp3VS6g6fmjk26neAIniVSy
lXztCxAAIlUvvXftot3yreRLVmAnAdy3eSNdm+erXl+VeMWHAgDHlfA2/0drKdkYX82M/VfFX5MjDYXU
Dqpgz8gKoQeAaKVhtWrV2jaqW7d7kyZNeix6pOPW/JWdTc6KLiaTE3lk3nkm/Z3qJrV/U3Pgve4m6d3u
Jvm9C83+9y8yqUMvMQeHX2YyRl9ujo3/Jnd2YSA0JMYUD61oSj6szFIyIBgp9Ev7xAYOCJYNvCzACFoU
ERCsUXQeIcIKah/VOXhmkF8QOziGsEkTSzimEGWfNJRon2xH7apyAc1Xuk26m+DZQY7AyXGJVZR87QyS
CfRGL7rqI34CttFyryj/VMn3ANjzFgBgoqirk7hMbdRDMXeQo5aE2sFSK4TmM1xTKACITkQrTQBAfIM6
dS5hFPz9JU/Fb8vm5OYuZQTMST0yB9f/VoxJ7UUL2D/eJA3oSpxvkt7pZlIGdTdpQy9kLnCxyRx9CZfa
VzIF78eYosGAYFgFExpeyYRGQH0jNeMWCMQGvLHxMkUwQllAsB2DzGIQDJoqqntQGxkEhAOFlQwl0Yeo
OxjBv3lKd7SuZNtQwl2lK+napmWHODoOtbIcl1hDydf+QA2ZglVvKd+ZSQFFm2IkMZK800m+ADCGx+56
HaDx3BM4V2Mrm+H3x/yeHLUl/NqAl4HPtDYgAGi6JFppVrVq1U71Y2O/0bBhwx998OdOk9LHtDO5S9qa
TKriCFcCRQDweiWT1LeTSepPV9D/XBgBczjofHP4g27m6LC2LBbFmPz3YkzhQAAAE5QMiwEETLhGYHxG
SgM9G5wCCNYjqGtwYPDMYGXCS4UA4UBhh0w+fEKjvwYeYxPtky3/EUh4dNKn6zg4nqmYWDGLdgVrh7C6
gKDW65J5byrtPgCSL6kR4IOU72lfCQ/GcH5egb/Y/jyAA9jovxlTyQy6L+ZP5CieaOrydUamgh4AcXzT
HACcUy829ltxcXE3vP/nDqOSB7Y1uYtamsy5rcwRJlLpfSpaBkhmPSDxtSom8e3WJhEg7B/Q2aS+d445
NORckzEEwACAvAExYRYYBACGehBAgSM06tTgIwgELwvRjCCPwAnX5VmlwBAEhGOIiGSotVQiTxZ6jAeR
pEbhKtxXuU+4TbqGWRrfqpVFtsRCuv29LhBRCxhsIYNVbzeBkHz5iyAAgnrvk6/EKz4g1gCuDTz3RHVQ
sOaYCmbmkzHPkqNzCLWDwSXiz9QOCgAygHrClgCgS73ata9oEBd346O3tuu5/RUkYFFTkzmnuTkyo4U5
OLBmWAIEAEbC+/5b0ezt1RQ26IAsdDBp73c0h95vybWUMSa7HyAACBEQwAQhvTm9yREOCCOjgRDNCL5r
8IZRLWQAEBFQeJbwwBBVSz68hASSa3/nQ49XyHu4Cg8mXJM7LdUq6Vq00WYN28uTGN0LWPcEVhtoL/LQ
7MB1Fr7q7dxA7SNeQ1I3ivd7quTrHK34BXGzmxmoUCqYqY/GvEiOzifayK8RWhz6zDLgASBj0aJKlSrn
1a5d+6r6deve3Kldu/u2PNvRZLKAkTm7kTnCCT04tpFJZTl4f08HAECwl0h6vbpJfquxSXmnnTnYnx2t
vWNM1tsxJgcQ5AMCKwX4ATFBBAQW+WqFYIQIEIR25GFs0Cx6VtDJJwmaptmkiB0cQ0RAIaZwbCFwnDTc
Y6XN+n/7XD7hPL9eJzrpGuKolxct6xKx1PvDXUB5Va89EH52YPcDQOmSKbGVjk2mOFj5Sr5iMe5/Mcwy
QecB0HDDitd/G/MgObqQaE+oHazj5PsztYNBAMhhnisA1K1d++Z2LVveO+vv7fekfNDMHJtVDwA0MGms
9acMqmUBsE8M4AAgNkj+L8zQs7JJfbMid0aLMZlvwgJ9Ykxuf1gAPyApsH7gBBAEgaDhiN4wqGdHzHEw
eGag8rR0ao0joQTZECg8MASOIEA8UJRcH/4xvrpdsoMJ95UeTLr6eG3W2MCkTreET3swvE8gsufPTwtd
1WudQ9PNyGYQkm93ACM/AoGYSEXgE6+v+CUzl3ZyLpNJ2j97pxIAsPTdlrpY5FKik/ya8wFqBz8zANRS
iAEEgPOYBVxZu0aNm1o1b/7n/ne1mrPztXYma1asOTqtrklncSdlbAOTwl6AfSRc1Z/wMkAgLAhYJk7m
a+IzLBnzNVNMAAisHygDBCGhP9oEfeRZ4WRgUBWqGgUIBwolzIYHhwASBImA4n7nHxP5H0frSnaphFOB
Puma3ulv2kwi6tdt4TULkOELjol9a6nuw1e97yx8K6mOQhIlg/sRz+sTr+RTIGYG0jGLcPpvuB4zb8ut
2b+7uf7NUT5A8v2Z5gEnMEDlypWvZCJ4U9PGje++83st+2x5pqM5zNVAmdNqAYBYk8pS74GhtUsBYK8D
QRKgSCD5e5+CDVgxTAcQmbSOkgKBoNCbQvkBdQZ6w54Cg0DwOikwsDPGjAqAoRQ7OLnQbF376BQWGC58
Qsv6aqnch/7fJTuYcA1uFBrb6u87WADy1K9lYGvypPN+VIzW28Sr6qF7P0dQ1Uc2hCj5+A7vNT7k/fnE
K/kKttXZkbmjf7P0ahNKH2bSln1/rYqU0Fj4jMwDSnkAfugCAK7ADP64ccOGf2zfuvUTK59qn5nwdjMA
UM0coidNY7a/nzX/fb2rhCWA5eEEKF9f9xHb/xljdj7G90+HQXDoNVhAIMAYWj8gJvDtoeRAQKACrDeI
ZgMPBH31YAgCwstFBBTQsyha26pOGf6xkhtFINl2Ti/gCYCEfIJWAGX8dF2gBj4nJF7DJE/3TuvVYkZX
fbCdlOeISn4Ir2SHZa79E/2Hdt1vQgcHm1Dyf8zWief0iTKCn2l/gAeAugC1F52JywHADQ3r17+rVbNm
j/W/q/XSTU/Hm6MTq5jD46uYg5i0Ax/VMHvZILrvvxUiABAIdj4ZY7b+AxD8K8bseSIsBQdeYGvTG2EQ
5DpTGJEDZwytL9CJ8F1CtDQEgWDB4AHhEiRQRICh5LnQOvsJwd+UYB820YFka1jjQ6+jFUxd/KmeXzuL
NdgpVfFRifcjY6v1mh66IZKteijfmlSZTuc/fNXrK+cjhFeycxK7bsAQbRbXW6S8ZUJp71sQlOz8tRn4
fOvryZMfCAkAn3qbmAAQGQQ5g3FZpUqVfhAXG3tHsyZN/vmDi9r02wwAEgfUN0fGV2ATSCWTgm7tHVzN
7H27iq3+PQoSvemBGLPlwTAIdj0KMyAFSc8yPeTvAkE2nYFAoPbQykGgO/AgiLBBWf5ADFGKFTwYTvZV
nsLH6Tw+8JgFDHH8JeCa/5+Q+KDOu7FxhO5l9JzWR1e9NazyJHgPJR5J9MkXAEIfwkh2ZzAA2PJLE0rt
BwDeCYMgdYDJXnXZx3+4raHM4GfuBDwA9ETad6ZJ0yXE91ga/lXj+vUfbN606Qvj/tZmz5Zn25sj4yri
BzB40GLSkEqwAADoU9nsfruq2fp6NbPuLzFmw98AAiDYhhTsAAS7YIJ9MMF+AHKE+YG6A8sGeAI7J3g3
DAQ7NnZdgu8UypUGLxVlMsMnTHL0dM7/vBya17xf6/5q82xLJ40vq+Ld+DhC987hl1f1MqPWgEL1weRz
HkoojJLBJJ7xeGjd9VT/m8Tbx0FwEBBwv8W0BV0HkKc44jMZQQHArwWot9SlSOo1e9SqXv3n9ePi/tK0
YcN/3/ujduMkA7t6NQYEMebgKNw+B75vYEWT8F5ls4vdwWxaMBsfr2jW3xdjNgKCLX8/DoI9SIM8geTg
MJ4gk2GSWkT5AtshAAJvEDUvEBC8SfQeoUyzWJZxPBOgmIoJ81f/ivJ9Lx/U+MhCUUDno+nej47tfMFX
vZKvzsXNExzth3zy8UjFRMmaW01o/39N6EDPKBC8ixQMNCVbf2zWj+78Y3L1mS4dEwCkIZoqabqkKVM3
4qoaVav+tF6dOvfAAo8zFOo19YH4lA1PxptULg5Nx5jsh7qSOOi971Ywuwewh71/ZbMDY7geGRAINnkQ
PIw3gAl2yxM4Y5hOt3BMTECb6EGQLxA4g2jHx0E2cB1DqSGSKlVarXmBNFNrDCczkdHAONnPK1nX17X/
2vgRcfVukHOCsw8sFqm1i9C9BkyaQTitD1a9Tb50nlVSvVdVvZKu5MOKxR+wlS7xeUzfS6VBkNoHJuiP
FACCpOdMwdoLEl/6Zwu17596XcADwM8CZAS7eCMYW7Pm7+rVrfuPNi1avPKn77eatOnf8ebjF1kXGB9j
UtBoywIc/B6qeFf/CmZn30pm638rmbUAYANysOl+xwSAYMcjYRCoRZQvOEgHEZEETQ0dG6hTsLIQ8Agn
SAOJD2FGQxPYfj6NxGjjxNJrWJVjaXYJydP9CrTWEA2I0/1ZN4TQnT+0mVPTu1LV7lu6kyQ+aPLsoEp0
H6h6m3zpfKVI8ot5zzb5nMuSRd81ob1PQ/WAIOk/ARD0BgDHQVCy9QZzZMn5fQMs8InNoABg7wJC2BVB
oiNxMUbwe8jA7ewT/FvLZs2e79i+fZ8P7+m8Z8OTHcy+AXVNGhW0n8pMBMEJHPhuJn47SeLOfhXMxqcq
mLX3OhDABB/LE2AMLQgeBwRIgkCQ8qIDAZJwTGygyaGbGQgE6haC0mBZAeCF8CAWANyrKDQdI6bByQIS
v4yKXcMcfR2ufSEbMz7C7Z9u0oOPswBA/zXjt/sBRPOBxNspXrTB8+6+LLrXgOl41dv+nuTL5duqV/JJ
fBHnsIgrrkJbaft2P2FCCQLBc2EQJL/q5CAAAhiiZMOFZtkHna4kZ5oKRlpCvsf5nvoG1AKA3xOoPQHy
AW2dDFxNO/jTmtWq/VEy0Lp589e/fVGXD1c+1qFwPSBIHlKV/YFhKbAsAAh2kTyFgLCOhK+9h6/yBH+F
CWCDj/EFdk6gDkG+4N+wiGODwxjEow4IWkewQOCE5Ac9groGWsViFpNKuGiihF1KJYsuN6FlPUxo+Q9M
aOVP+Mznm01o6U2A4ZawNPhB0yf5uoGNGLrzl8xfcCNIcE9AkOptxUcn3pk8r/Wa6rmqD493ATGg81Vf
xPst4rwVz+b9bP+HCe18JAyCPf+GDWCCROQgGU+wX55AIOhr5UAskLOy22JydsK9BE4HBAKAvSbA0Yim
S5oySQa+qXlA9SpVfosMPNS8ceP/dImPH/DCrfFrNj4VbzY+29KkMMWSFIgF9oJksYAHwA6c/lr8gEBg
jaFAwM8CwTYkYRfDoj2wwT5JAl2C2EAgULsok6hOwbaNkgYBwUlDIYArGl6BjxNua4rndDHFCy42JVxA
UcIe+hCfBhpacztgoF9fciM6S98dnLOf7vceAJrxl6p218v7KV65iS+L7jVoCle9He5gpEs4Hlv1JL8Q
9itknSW06V4Y4AE+vhgQ7PgXQyCBACYQCPbBBEkOBAccCPhsJrFAwBB+ov2CAoC/GZQoxMuA2kHJwHdZ
Ifx5ndq174UFnuzQqlWv7ueeO3TKA50OrX2sA3rf2KRixpJJSiLVudt6AScFvKFtJHMNiS+TCWCInQyM
dgMESUIiBjGZyeFBxspH6BTEBr5lDEpDPq65gF1GhVPbmsIZ8aaI3crFC75hihdfY0qW/4hPfruFwEEv
/CHXJXCNojeQbuJ4WoDY9ctw/69lXb9crKRPC9C8N3e2n/dtXXTiNW30dB9e1FHiQ3iYEs5bMcdUCMCV
/AKieCEstvEePr32L3xuNTJgQQATCAS7YYIE5MCCADlIhgkEgpS+fMTxt60hJGdxhL+tzGn5AQ8APVg+
QDTiu4GufH8FcQNbxe6MrVXr740aNHiBVcK+P7y044QVj8YXrXu8g0noix/gzRwAzQKBmECmcIf8ALGN
lcM1+IE1dwOEPzs2cL7As8FOeQMPBMkCjHCQsfJh1hJkFI+KFegajvF8We9V4M7wFfgch1Z8dE8bPsKv
kymY2Z0P9fomH/TVg097u574MR/63YMbWHChqqaN8g5qLTVxjIpSo1hNIxXqAAQAbeaIrvbTTnzY5Hm6
N4HElyCdxdC/9k0WwHIFsF3h2I4mtPZOPsD0Dw4E9wECmGArINgOCHY+7kAAE+xFDhJhAoFgf29TsuM3
fOjphWb5B51uIl9+OBS5kvhkUiAAaE9ZUAY0FvZmUEMhscBtLBDdW79OnSdbNmnyOtcNvPfwTV2Xywus
tSBgkYg3ZZnAyYGYwMuBQLA6CgRqEzd7SZBBhA00PZQs2E5BLSNXIKUJCDDCESrk6IAKfEpbZZM5LI6P
7GlhI2cCu5a4MDVv+kV8pN8VfK7jd7mg9TpTOPNKPhKoaXjAJO+gdktgcBESIDSE8ZM4/71+1gxAAPCX
c0Un3bt6DXK8xru2LlrnbeJ98n3ikc0iCqaQY8rH/Ba8T9u37KdI2K+RMECw7i4+zRYm2AQTbHEg2IYc
7IQJdiEHe2CCvTDBPkCQBAgSHuODT9m6v/j86a6Ag5tFTrpjyAMgckdQxwKaM2smoB0oV2pxCC9wh2OB
51s0bvzWReee+2GvX3feKhCse6KtSR5c1RxQa+jkQCxgOwNnCrdRyZYJ/hTwBbSKm5053PYQBlEzA8cG
WksQELSecBAGONSHi1HZlXxkKMOoD5qYzBHsU/ioGZ/bBBDGtzfZk84zudMv4UrmK03+7Gv4rKfL+Nyn
q0zhJC5xl2/AqFogeDAIEBq7OiDYr1qIERA8AOzwxu8VCNJ8GYkPUn1A5yN075OvxIv6OSbtlsrvy9b5
Od8BALdgYH8BCH4FCO4ABDDBekCwESbYjBx8/BCSABPsEAiQA4Eg4TgISlZhiNdcYH7/k1it55xwV5Hy
WCAIgPJY4CIe1AM/cEvNmjX/hB94hAnhS+3btBnQ7ZxzPhr9504p65/oYNY/GQaBmOAAb1CdQQLtjfcF
YoPtJHItnmDNH50vQBI2aGjkDOJWQGDbRXUKASBoG1oaG00OvlvfpA9saNIHNTKHBYRhTbiGvok5OqKF
OTq6A1vSu5qsyexKnn6FyZnVg892vAKJuMrkj21n8jmeQq1BaMagtkuA0ABGoSmcB4RAkUAV0gWE2DcQ
siNbtN1Xu3bplKr2gMafLPG+6jk3BaJ+wJanY5h6EX7lBhNafCPdCyBYfhvdDEywmmNYKxDc7UAAE3yM
HGyFCbYjBzsBwW7kQCDY+1+SfzXe53yz5L0O2jwa3DF00v0CwD1yh5BoFpAXiHQEfP9DpOCXtWrU+Csg
eLJl06Y9mRAOvKp7lwkzHuhwVCBYa5mgmgVBEm/QgkAzAmcOrSSgeWuZC6wGBGKDdQ4EGz0baDFJ7aKG
RwBBY+QDSEjKm1W4JqGeSXunvjn4HkAY1MAcGtTQHB7CdrVhgGF4S3N0FFvYx3Y1xyZezG3XrzBZM3qY
nClX4he6mly8Sb66Ce1Q0t4ETR7LAUOI28eF9gEA9hWESu0ZCE/vwjQfNHc4+yDV44kiOh9MvKqe5MvI
5gG6gqGAaS5bv+d/HxAw97cg+BkggAksCDiONRyHZQLkYBMg2AITWBDABDuRg10wwR5AsOZaTHBXs3di
50HkSgO96P0CZUpBEADyAv7O4HKS6gi0BVl70DQe1rDhJ4DgDiThflrDZ2kNe7Vu0cKCYObfO2R6Jkga
VMO2h5oRyBiKCTQnsG2ik4WNJFYgWCtzqHmBN4gCAv5AIBAj7MQTJOMBkt+oavb3qWtSMJ2p/eMAAmCA
EdLeb2BZ4ZBYYRgbUkd0MEdGnse1iheyhP1NkznhUpM1JNZkAb5s7UtQa6ldSvycTxRwPIWaNbivRXxf
zJ2+SxJ+z23wqhO6LyLDGXYEheyeAWfsXLVHJ744Wuc93bvE58MwSr4AWTAEKZnNnsI51zJyZvi0ABAs
opVdAgiWwQQrkINVMMEamGAdIGCncGgTcmBBgBxsgwl2wAQCwUpkZMl5bN7ttMrlTCxwyptKWACUwQLq
JWUkdDGi0KSlx4uJa5GCnwKCPzAmfrhhvXovNsMPdG7ffshV3TtPmvFgGARqEXe/HVsKBLY7cGzgGWEr
4+A1JN76AgeE9ZogIgsCgYZH2luQpK1mAsBbtc2BPjxv3zqAACAMiDOpAMEyAkAQCA4NacH1Ce25SIU7
mnzY1hwdEme3qWdgtmxXAZgyYBTbWWjeQHeRzd8i4AAgRdt/Y4p3/84UM04uYdNJCXsKQuwxCI2uSJRR
7WrpTjfxsKKSnzcQUE1kR9EMJpizPAgYQC1ADhbBBEuQAwsCmMCDYC1ysB4QbIQJNiMHH8MEAsF2QLCc
XUPsUCpc0EUXkmqOU+ZVRNFeIBoAviPw42G1FDKEuk+NnvQbxHUVK1b8eY1q1e5mA+m/6sXWfZFRcZ+O
bdsO/e6l3SZ7EKz+V3uzoyd7CGl37MKRRsa88SAbWEagGjdA9av/QDggBGVhK1KQSOKSXq9i9r9Zyxzo
DQjerm1SHBAO9BMQaEXficMj1DPp78EIlhW4nxEycWRgXT7bSbe0YYsaHcUh5gyHAJ4FA3FUMwctUwOK
LAGCKNj6a1O0805TxIUsxWw0KWH0XKL1Bx+i+ADNF4vmA1RvDV5UxUvvlfgcjbiHcO+ECbpa6GLaTEbW
FgSsZcxBDubCBPMZaS8UCGCCpcjBcphgJXKwGjlYCxOsRw4sCGACgWArcrD0KhPiM5xCtK7k6AJCK7v+
YtJyF4siACiDBfxFo6IR7RXQE2o28C3iB4DgF9UqV76netWqj9SNjX2pfr16b7Vp3nzIN87tMHH2QzCB
axG3vcZWciaGdmwMHSbZZWQHhgArbGWFcA30772BlwUtK9sdyK9y27Q3qpukXjVM0ps1TXJvtqaJESJg
oBXtBzMoYIeD7wKI9+K4njGWDiJ8X6MDjJ1T1VoycEpjafog08dDbFY5rFaTOMLrHO0XZ3I3crsbPgMx
n0QWalrnE6ze3YXt44NJl7k7ReJz3q1I+8cwaRx7CAWASaw1THYgmM6Gk5mAYDZyYEFwAyBgpL0YJlgK
E1gQIAerkQMLAphgA3KwCSbYghwsvMyE5nJFN3MR8qPdw+oGmhNxRLkXk5YFALFA5GNi+N6vFGo2EPED
SMH1SMGvAMG9MMFjzAhehgn6wgTDrup+zsSJf+14eB1ysAY52PBMSxigalgSBAJM0F4NjVyn4KVBg6NN
tH1r8ATeH2iXURgAlUzi61VNYs9qJgkgJAOE5DdrAIKagKAWO5Vrm9S+CgEh1qQNqGMOvkMMYDMrtJ7K
c+zXngSNnT0QAMNBTR8BQroDQ8aAxiZ3wy/YhfsbPnoQqpZjd8kVGGxI14PtnB5zkorPQYLy3sdL0Lqa
UawujmFTCfdRsCCYyK5iOhcz9XKmjjBBBATIgQUBI21AYJYAgmXIwQpAsAomWIMcrBMIYAIBYRaDpNmd
TOaH7QQADfBUrP6eAv4OYyfcW6gUAAIs4EHgpSDoB7Ra2J24irgBJgiDoGbNx5CD/zRp2PBtgDCoe5cu
Y4f8sVPSBtYNNDFc90Q7s/stKhMaTaV6kgUELSRpcCQgaC1BHoGwQCBZAoI2lyRC24mvVAQEXI72GiAQ
EN6oZiPpzepmf+8aSENNQED0AQwAwQZASO1X0xzE/OnGVvu0JwHzmcx8YT8TR8UBXicFUKQSaQDiUJ9G
JnvNbSaHdYUsjitHho1jVOQryS7ZtpVz7ZyMXcTcBaheic95h6rn9nrmI1YUFdxzuTQIWG+YKCaIBgFy
MAcmmIccLAAEi9iUuoSVzmUwwQrkwIIAJliHHGiGwFg8xE09s0a0EQCuKUMGyryK6AQARIHAdwXBMbFM
oUCgnUMeBL8EBH+uWb36IwyLXmhQt+6b6g7Oad/+o0du7LBWK4jaTCIgbPlPc0BQkW1lnHQ3QpYs2Ami
A8IedQ2EOoZtVGYYABXMvtdggdeQAgWeILFnVdgAc9irGv6gmknpXd2kvAUY+tCF9AUM/WqZ1D5VzUFM
XjLPk8CkcR8j50Q6CwEhyYHhgAcCYEjv3chkrf65yVp0rTWPWRxHNselyJODd8m2SQcccvRW36MTD90X
fhBH50DCR7OkrMR7EOirZ4KxjJtpU8MgQA4sEzg5mOVBABMsQA4sCG4Lg2A5TLASOVgNCGZ1Z19EB5bG
4/mg05YCwHcJmfZTXkxaJgDKAYF0xK8VeBB4JrgeJridLeX3AIKHAcHzjRs06MXFJe/Gt249/LarOs1d
8HD7HLGBvMH6p9qZPbR06WOoOgcC2zJqduClQYbRmcZ9JFAXniS+WvF46Arl1yub5J6Yw15VzIFeSExv
QPAW8TaziL7cy4BIY8+iGCCJ6t7DcCmB2EskCghEEqyQDBD2a94AMxzsBQOsvtVkLbyWjwlk/YG2UCBQ
5PhECwwKjk/GLld/UwAY3Ue5cIxul8s+hckEt9g13GzbjGXT6CiAUCYIkIMICGCCKYBgGiCYgSeYhSeY
gxzMEwgcEywGBEt/zd1HAIE8wmRu6D2lA5800l4mOEcejbiMUPd2Uh9QLgDKMYUCgToDDYnUZng50Izg
hxiH2/AFf2JO8HdA8HRcnTqvMjXsiyQMvrBT67GD/xifuOnpjmwYAQj4g60vNzcpH1ChDFHsBBFdDRpF
Dwa1kPvo2XVVsq4+SnqNTamvV+RnXafILuVexJtclvZWFZPGTuU0qj6tXzVzkEjvW9mawH0keA/dRgJt
5V4iAgBAkAwI9it4TBoAyFl7q8le1ANDSHcgEJBYRbbYwEWOc/RW33Xj7AlNTMksqhAjFuL2uqGZnahI
dJmbbUeAwK33DXddPw4E7Vzid6N5zFiBgP2HXg5KgUBMAAjmAoL5gGAhTLAYORAIWAcxk7ibOyAoGtvM
7Hgz9mNy8SPiciJ4NXGZm0dPBwBBU+g7Aw8CMYFoRoMi2x1gDm8FBHcxMXwQX/BkndjYl7nG4C3mBe+3
a936w3t6tF66+rH4QoFAu4skC9tebWwOcpGolQUBwQ2RtK4geVALKYmwQQKSSGgy/fv+nhVIfgV7PWJq
b0bFb1fiEvZK5pCSzh7FQ/25lqF/JT7aF2/BUCmBMfNe2sp9ACFRLEAkIQvJAoECaUh7g8uw1t9qcrg4
8yheJBMQHBMIiGzYQJHLB2fkc51kER8oWbL0XDS4K079PKqR4EMyQvO7AARasiAQuOG24db7ZgJsICCM
BggjxQgeBOw4tiBADiYgB5OimGAmIJiNJ7AgQA4EgpmYRhbDbExsZ2/SufqVOovkzYhvEmrd/eXknxwA
ZZhC7wm8HPhBkboDLRwJddKfmzUxxBfcpzZRksDk8A0MYn9kYejFnVuPG3Z3pyTtNLYmUWsJyMLeAbF2
w6kFAkZR4VnBzhIEhkAkIxkpSEYqoEhlK1q6Foy4m/mRftzQmo2qGdzaPgMtPjQMRhhSwxzkJpbpw2ub
QyPqmCOj4rixVX2TMbahOTq+MdHUZM9va3KWduTGWJeb3MUXm2Mf1jE5XKaVy2cg5C/sZApXdjXFGy4y
xesvMiXrLmT+3t2UrL4AQ9YNY3Y+QCCWAAb2EYS4z3JoHkCYAxBmwQgzYIRpGDWo2gLBykIACKP4eXQA
BGKCSZcel4PpyIEFgWMCdQvjAJFiPM8zjg+bwlu9e2/sOw4AKkgPAH+X0RPWBU7KAFFTwmgm8MZQT64W
UXMCXbemHvQa4idIwu3EH/EGf69aufJT7Ct4iQnim0jDgBZNmw775ZWt5s3+R/xRXXiiDacyitp6fnQS
Pfl4YhyuHJ8gUEgmDuIXFPIN6iYU6fxej1Ho8Ud5bCZ/P8bFIMfGElO4qfW0qtzptLrJmlnLZM+O5c6n
dU3O/PomZ0Ej7n/QxOQv4aPalrY0BcvbmIIV7U3+ynhTuJq7pK/pYorWdTVFGy4wRZsuNMWbLzElm9iB
pNgICNiJU7IOEKx1QFgJELi7avlAAAQzomTB+wMxQgQEMoZODjwIpuIJPAjkDVjgMmNgD3kLCwI2pnDv
pU7NK//5jDJAcGMhT1wWCNQiavlRwyItIWsA4TsEmZGfYRDvBAR/cWzwHItJrzVr1Kg/Vx4Nim/TZsSj
N8avWU2nEJaFeLPj9aZcgEIFT3AgGOuSTLKVcJt0Eq2kH1aQeJv8iQTgyZwMAKaEI2sqMY3POJhe2WTP
rMZ9j2uYnDm1TO78OiZ3QZzJW9TA5C9uDACamoJlLQAAH42zsq0pWsXHuK7hsxLWnmOK1p8HCNh5tIlE
bybxWwDC5jKAwHKsZQQPBO61HGJbWYj7LZcpC9H+QIwwBnYYw0Uo6g7GAYKIHHDJOCubZio7lQWW0a67
EAgmcgkal5yteDVuBef7N4Q8gKa2ysVnk4AgAMowhqIU9ZcaFmliqLGx9wWSBB1EjwgbVKwoNngANngM
j/AiQOiJSezXAiB0j285Zsif4vdt5mpkScP2V1qZY5NJHAlUIpVUm2AfJDo62dnTcOLTw5E7MxCz+J7I
m1PR5M+tYvLnVzcFC2pyI2w+52BJXVO4tL4pXNbQFC5vYopWNDNFK1ua4tVtTPGadqZ4HZ+Ysr4T1N+F
qu9K9bPuvoXK/xgARIAAKMQI7MqxjCAgrAIIKxwbLAUEp+0PAMA4mUKmhREQXBiWg0m0iaPEFGojXYzV
PY8AzsxW5tvnVv035/qXxPcdE8uk+3sJlDkOPi0JKAcEft3A7yqWyZA5lC/Qi7YlpEHaT6Au4Trip0jC
b2CEu9UpwAhPsdPoP9yQolfDuLj+eITBL9/aauPH3JlEdyfZ+WprkzWpiskhmTkzMGAkNjr0+1yFEj6b
JBP5RMEcF3P5GojCeewnnF/JFC2oaooWVWf7WC1TtJQ7nC/j3obL6wOARqZ4ZVNTvKo5IGhFMttA8e1J
bDyUzyeobORj3jcBhM0kuSwg4BEsELwsBIFwuv5gAj5hPH5AI+NxLBiNZ3eymEASwec3hsMxwHymiXiO
Ja82XcP5vYe4ldAnkOu8dyDEzMFrCEvdVexTAeAk5lAokyTEEVqI0ChSXYLGkvIGVxM/Yh6pTuF3sMF9
AOFh2OAZbkrxCmsKvfEH7zz4g2ZLtj7f0Xz8XEcGQR1Y0q1mE6sqjo48fqeE23CJLuRr4TwX8/kaiCK+
t7GggilaWBkQAITFNcJAWFbHFC/ng7BWNAAEjQEBxmp1C0AAENbi+NfRa6/vCBDOcUA43wGBpH+MLGyB
FSQNEX8QAMLp+gOMom0bJ2mGgBRMkB8ABGoX3ec32q8CwQKYgRtR587smte2YcUnObe6ldyNxLcJdWYq
QrXswbuLnhkAlAMCPzqWJESzgfRIq1TqFLws/AJGuAsg/JV4BFA8i1F8lbuUvPWzyxpNWfdUfMHW5zuZ
7S91YKcPAxYlNjqUaJfgcGJdRBId+B1/K46OhdzRdBG3tl1czRQv5dPQlvHhmMsBwop6gKAhIAAIq5sB
AoCwtjUgaAcIBIROYSBsOo8QEKD+LQEgRBvFT+MPpsACkwCBXL60XrTvQcDij71H4aqrzGM/ixvOOf0r
8Svih4Skt9wl4VK+LpreP+nPvJBFFKEFJL+IpHlBkA28N1C7GC0LN/FPv0IW5A8exB88AQheBARv9Di3
zui1gGDbC53MDkCQDQgiFewTHEj0CclVsheebgCExVVM8RIBoSZA4GPxlvPpJyvYWWyB0MQBoSVAQBYs
ECQLAGEj/kBA2FyWP3CMUMofqG1Ux4BJPJU/0ESRQY/t9W3bx/cr6AL0cTWbrjeTn2kt4/dP4o/ELa64
ZMKDY+DTWw38pMkPtoknMYh+ZqB2UbKgCaKAoJZR82qtJ6hbkD/4LUC4l/gnA6WniVeuPid2hJjAguDl
ePp37p7tqzzq62cDgIDCBSeL2AOwmA/HXMIt75fWckCQLAgI+AMrC1yVZGVBQMAfWCDIHwgIn8QfOCCU
OT9gdjDLtY12foA5FCNs+rH7TOPbzdxe523ivD1B3OeqX+5fAyB/G5lo+j9hW9in9gDlgSXACFp69IMj
3ylIFgQEGRP5A7lU+QPNrb9D6M4XPyekZfcTj1WoUOGFazrV/GDd0/EF2wHB9hc7mfRhaPRpV/bpMkDw
cUEgIAsWCKfyBwLCyfyBax3L8wd2kES3wLYu7ewJ8dnLIT61LcQtei0QFnLXMF2womsWuG5xbv9LNnN+
5PofJO4kbiLksboTMn/+jqL+msHy9wR+2so/DRAEOwUvC75l9N2Cnx3owDW9+h5xM/Fb4l7iX4Dg2a4t
qr8z9x/t0gUAReLbrfAD0PbZBMIiyQL+wMrCSfyBjKL1B94oOn+w8ZP4A9jAGsUTZcGs5Z6BulpZt6dN
/KOZ26ebkv808RDxB+JnhCawfiOIWFbn95Q3kzzjDFDG4Mh7hCAjyB94IIimNDuQLPhu4Rq+180PfkFo
m/Pfiaea1Kn0xpT72yR7EOx8JZ42Eb0+myDQc1sgfJ7+ABCwwze0CqOnTyXRlcq6RxHJH/pcl6Wci2eI
fxDSfTGm+n6Za1F/W8JvCy9X+yPyfaar/yQzA28Ug0AI+gPJgvYeqlvoTmh2IG8QlITH+fnFPr9pvsaD
QF9T2Qx61tkg4g8EhPL8ASuCZ8IfrIHuN3GvA324tS5SSb7H5Gz5Rf4/ftV0HO9ftK/KV2Hc5s6RmFOD
N43jRf1xxGldI3hWGeAkbOC7hZNNEtXHytAEJUFm51/Es7+/su749U93yA+yQcZodPpss0Epo/hJ/YEf
JEXPD5w/2HAxO3wY+eqTR/XJZPpYGqj/42nXJrVsVKkn71uG7wFCtK/CUIEo+TpX0n0N4PxVQad1lfDn
BoAyFpai1xWCbBC9uCSDKEnQmDMiCee3qNpnygNtkoJsIG/w+cnCKfzBKuYH3h9EBkll+AMWm6T/9rbz
a2nxdDdS7kuYveHH+Q/d0Xo87/k54hFCvf6dhDRfk9Xo5MtgS/dLjX35udybRXzuAChncUmyENx/GMfP
0jEvCcHFJY06f+dOhk7Kc0/9pNG8IBt4k/j5ASHoDzRIKm9+4AdJtI2MlkNLNcfnVjO6q6guRXefTJqz
+tr8IS+fu6xlkyqv8/404ZMHupvQoEeTPo16NeyRZ5J3UsEEkx+5MvhUEv+FAiBqmui9QbBl9AZRQw2/
30BvXidBJ8OzwRPdWlR9a8hdLTYH2cAD4exLg28bT+4PirXQNJeNJJO55pCLTOz1hrrTiANAzqIL82e/
e87mS7rW7MN7k9ZrwCPZE+BF+erzNebV/EQDtbaEvJNo31f+aV0W/rmZwFMh8BTrCpph+/0GerN603rz
OgkaeYoK7yDULj5MPHXLJbHDomVBQFDHcOA9PvuATy87ez7hxPlB7sx6Jmt8Q5M5vL45NpAl6KE1+GBN
LjPTFUa6tJz7D6RPbJU59NlmS1s2qfSa3oN7L6L7uwh1Qj8hBHx5Ium95ieao/jLv9RRqXAiGz74/vTu
EXQ6Cfq8HqODdlGeJPjhkU6C2h6dFN8uanj0lyAQpj3YJjGaETwYkvs357OQ65kc7oF8pgAhyRHbpA5u
bJL7tTT7Xm/DbuUW7FFsbA5zp9VM7gOQO5SP1v2wKh+tW8WseKPGrodurzmWY5bGy+CptVPF673cTojp
ZILVEfmql9PXRk/1+RqsBd2+HfacbvJt8X1eyT3d14kCweksNesiCJ0knSydNFWNB4KkoXff3zRfHe0R
ooGxt1cbO1zSlDEYAoki+vdqPfV4RVkg28XYeu9rbbiApYVJfbsJ+xMbmCzu/7f4heo7n7+jypQWjSv8
l+OUvqureYDQTp47CVW83otMnsbkukmHtF4y6Ks+SPkasOk8feLkfykBUI4vCC4u6c37NQW/1KyTpJOl
k6aTp5OoKpI0yEA9Sjx117frjRr8hxabTgWGshL6SX+38yU+Wa13S7Pw6XpJwx+qtfrBW6qM4hg0wFGl
K+ka4er4BNhfE5IzsZkmeqp4n3jRvcyw+nvJoa963+aJLT9V8r+0ACjDF3hJ0JsW5XlvEL2moJOmkydG
0MmUcdIWKfXNolaBQSf/yR5dag145sZGs8bc13rHssfbZ37SBAcfL3+x+rnWmbMfbZb4zl1NVj16U+3J
v72u0hBe5+lAwvXafyO0aUPgVNJ1fAKs+vlrCGn8RYQmel7n5fBF99pxJa1Xi3dC1fO709L8EwZ1p0vN
X9Tj9MZc+OFRcE3BLy6pOvzmE508nUT1yJof6OTqJHswqOJEt0qGkiKnLYZ48rtdavW79ZI6g2+9uM6Q
137edGFZ0f++Wgv1d8Wvrqk2uHXjmJf4Xxk3TSn1PHo+Pe8DhECn9k0J19qGmOmnhMCp8a2OT8cp4MrX
aAqqtk6zfIFbFV9W4iNV/1nz8qXzAKdYYBIIylpTiF5l1Ek8x51ULZDIJ/QgBAad/FtcMsQOarE0U1dl
KmFy31qJfIAQTSuZwdDv9DcBSI/V/whQaknFNHo+Pa+GVgKdFrb0mnptmVZ1MDKwMnVKuo5TUzzRvKpd
8qbEi+WiK/4z0X1Z5/YrA4By2kW/3OwXlzwQdBLllLXSKJ+g9lG7kVRpqjglQclQFWoJWgyhRGnIpPm6
zKTmDApRdTD0OyVX1azHSrtV1T7R6tX1vNLyawhJkk94d74XQ/lKV9J1nDpeT/NKvGROcuep/own/ks1
B/ikNMaJCcpCWYygkxjnTqpOrlYb2xKqNJ18uWoBQlV4GSFQKFFaTxctCxzyEQoZy2Dod0quHqPH6n9k
QMUySrSeT8/bndDwSuDTa+q1dQw6FlW6dkl5io+udvXzpZw9P38qjT/Vuf1KMcApFpeCQFD1aG1BFBoN
Bp18aazYQVIhs6UEKVEChmhZ4FACNYKWnwiGfqe/6TF6rP7nXPf/eh49n563LSFfooTLo/gqVxcjXQ8m
vdxq53GfqK8/VcK/cibwVG/InyD31XuEaDB4idBJ18lXEkS5qkKZLYFCiRIwlDSBQwlUaPASDP97PUaP
9UnWc/hE63k1xvYVLmnSqNZrunfyvtI9xUfaOb2fU733M/H3rywDnIDk47Lg5UFffecgOtXJ9h2EB4Rn
CCVIwIhz4FDiFAKJEhkM/c7/XUDS/+h/fVUr0T7ZYiG9lq9wn3Adzwm6rqR/Xon/SnuA00W+P6Hua7CD
CAJCoFCClCgfSpyMmAASHfq9wifX/4+ewydaz1lWsktV+Oed7LLO2/8BlrEdnFwf/0IAAAAASUVORK5C
YII=
</value>
</data>
<data name="PictureBox2.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
Qk2eAgAAAAAAADYAAAAoAAAADgAAAA4AAAABABgAAAAAAAAAAADEDgAAxA4AAAAAAAAAAAAAk53TUlu8
MzyyDxmnDxmnDxmnDxmnDxmnDxmnDxmnDxmnMzyyUlu8k53TAABRWbybqfa3xv+1xP+wvv+suv+mtf+h
r/+bqv+VpP+Onf+Mmv9zf/ZRWbwAADI7ssLR/6Gt/3GG/2Bz/15w/1pt/1Zp/1Bk/0te/1Fn/3WB/4ya
/0RRwAAADxmnytj/f5X/dIX/0df/hJP/YnX/XnD/eon/y9H/WGn/TWL/jp3/Lz69AAAPGafR4P+Fm//U
2f/////29/+Hlv+Ekv/19//////L0f9KXf+VpP8wP70AAA8Zp9bl/4uh/5Gg//f4//////b3//b3////
//X3/3qI/09i/5qp/zFBvQAADxmn3ev/j6b/eo3/k6P/9/j/////////9vf/g5H/XG//U2b/pLL/OEi9
AAAPGafk8v+asP+Emf+aqf/3+P/////////29/+Lmv9rf/9jef+3xf8/Tr0AAA8Zp+v4/6vC/62///j6
//////j6//j6//////j5/6K4/4ik/8TS/z9PvQAADxmn7/v/r8b/4ej/////+Pr/rL7/qr3/+Pr/////
3eT/iaX/x9X/QE+9AAAPGafz/f+zyv+lu//h6P+uwf+YsP+Wrv+pvf/d5f+Vrv+Rrf/K1/9BUL0AACo1
rvP9/9fi/6/H/63E/6rC/6a//6S9/6G7/565/5q2/7nH/8rY/0xYvQAAQEq1zNXz8/3/8f3/7fr/6ff/
5PL/4O7/3On/1+X/0uH/zd3/prX2QEq1AAB2hMNASrUpNK0PGacPGacPGacPGacPGacPGacPGacPGacp
NK1ASrV2hMMAAA==
</value>
</data>
</root>
|
By viewing downloads associated with this article you agree to the Terms of Service and the article's licence.
If a file you wish to view isn't highlighted, and is a text file (not binary), please
let us know and we'll add colourisation support for it.
Bachelor degree of Computer Sciences, Software developer using .NET (Visual Basic & C#).
I like the development of an Artificial Intelligence Systems, GPS Applications, GDI+, APIs, N-Tier Applications, Distributed Systems and Network Monitoring Systems.
Mobile Development (Windows Mobile & Android).