Sat Apr 20 00:16:47 2024
EVENTS
 FREE
SOFTWARE
INSTITUTE

POLITICS
JOBS
MEMBERS'
CORNER

MAILING
LIST

NYLXS Mailing Lists and Archives
NYLXS Members have a lot to say and share but we don't keep many secrets. Join the Hangout Mailing List and say your peice.

DATE 2015-01-01

LEARN

2024-04-20 | 2024-03-20 | 2024-02-20 | 2024-01-20 | 2023-12-20 | 2023-11-20 | 2023-10-20 | 2023-09-20 | 2023-08-20 | 2023-07-20 | 2023-06-20 | 2023-05-20 | 2023-04-20 | 2023-03-20 | 2023-02-20 | 2023-01-20 | 2022-12-20 | 2022-11-20 | 2022-10-20 | 2022-09-20 | 2022-08-20 | 2022-07-20 | 2022-06-20 | 2022-05-20 | 2022-04-20 | 2022-03-20 | 2022-02-20 | 2022-01-20 | 2021-12-20 | 2021-11-20 | 2021-10-20 | 2021-09-20 | 2021-08-20 | 2021-07-20 | 2021-06-20 | 2021-05-20 | 2021-04-20 | 2021-03-20 | 2021-02-20 | 2021-01-20 | 2020-12-20 | 2020-11-20 | 2020-10-20 | 2020-09-20 | 2020-08-20 | 2020-07-20 | 2020-06-20 | 2020-05-20 | 2020-04-20 | 2020-03-20 | 2020-02-20 | 2020-01-20 | 2019-12-20 | 2019-11-20 | 2019-10-20 | 2019-09-20 | 2019-08-20 | 2019-07-20 | 2019-06-20 | 2019-05-20 | 2019-04-20 | 2019-03-20 | 2019-02-20 | 2019-01-20 | 2018-12-20 | 2018-11-20 | 2018-10-20 | 2018-09-20 | 2018-08-20 | 2018-07-20 | 2018-06-20 | 2018-05-20 | 2018-04-20 | 2018-03-20 | 2018-02-20 | 2018-01-20 | 2017-12-20 | 2017-11-20 | 2017-10-20 | 2017-09-20 | 2017-08-20 | 2017-07-20 | 2017-06-20 | 2017-05-20 | 2017-04-20 | 2017-03-20 | 2017-02-20 | 2017-01-20 | 2016-12-20 | 2016-11-20 | 2016-10-20 | 2016-09-20 | 2016-08-20 | 2016-07-20 | 2016-06-20 | 2016-05-20 | 2016-04-20 | 2016-03-20 | 2016-02-20 | 2016-01-20 | 2015-12-20 | 2015-11-20 | 2015-10-20 | 2015-09-20 | 2015-08-20 | 2015-07-20 | 2015-06-20 | 2015-05-20 | 2015-04-20 | 2015-03-20 | 2015-02-20 | 2015-01-20 | 2014-12-20 | 2014-11-20 | 2014-10-20

Key: Value:

Key: Value:

MESSAGE
DATE 2015-01-31
FROM mrbrklyn@panix.com
SUBJECT Subject: [LIU Comp Sci] linkedlist example
From owner-learn-outgoing-at-mrbrklyn.com Sat Jan 31 20:42:25 2015
Return-Path:
X-Original-To: archive-at-mrbrklyn.com
Delivered-To: archive-at-mrbrklyn.com
Received: by mrbrklyn.com (Postfix)
id 237EE161186; Sat, 31 Jan 2015 20:42:25 -0500 (EST)
Delivered-To: learn-outgoing-at-mrbrklyn.com
Received: by mrbrklyn.com (Postfix, from userid 28)
id 0E94A161191; Sat, 31 Jan 2015 20:42:24 -0500 (EST)
Delivered-To: learn-at-nylxs.com
Received: by mrbrklyn.com (Postfix, from userid 1000)
id 83219161190; Sat, 31 Jan 2015 20:42:24 -0500 (EST)
Date: Sat, 31 Jan 2015 20:42:24 -0500
From: mrbrklyn-at-panix.com
To: learn-at-nylxs.com
Subject: [LIU Comp Sci] linkedlist example
Message-ID: <20150201014224.GA17510-at-www.mrbrklyn.com>
MIME-Version: 1.0
Content-Type: multipart/mixed; boundary="tThc/1wpZn/ma/RB"
Content-Disposition: inline
User-Agent: Mutt/1.5.21 (2010-09-15)
Sender: owner-learn-at-mrbrklyn.com
Precedence: bulk
Reply-To: learn-at-mrbrklyn.com


--tThc/1wpZn/ma/RB
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline


this is the whole code. Open a termnal untar it and review

Ruben

--
So many immigrant groups have swept through our town
that Brooklyn, like Atlantis, reaches mythological
proportions in the mind of the world - RI Safir 1998
http://www.mrbrklyn.com

DRM is THEFT - We are the STAKEHOLDERS - RI Safir 2002
http://www.nylxs.com - Leadership Development in Free Software
http://www2.mrbrklyn.com/resources - Unpublished Archive
http://www.coinhangout.com - coins!
http://www.brooklyn-living.com

Being so tracked is for FARM ANIMALS and and extermination camps,
but incompatible with living as a free human being. -RI Safir 2013


--tThc/1wpZn/ma/RB
Content-Type: application/x-compressed-tar
Content-Disposition: attachment; filename="linkedlist.tgz"
Content-Transfer-Encoding: base64

H4sIAKuDzVQAA+xcC3BUVZo+tzudNEnodHhIBAauPNYoQ+cJIvjoJDR2MEAkYXyMeNPpbpLW
Tne2+zaCK4oDTtFGlHF97axVQ1lqObPqWuvOFLurJA6u4Ky7i+tzd50x46LbEceKw8OMgr3/
fx63z73pBq0ZqalZDpX+7//9j/Of1z3nnnsPnpqAJ57SyTeZaiFdtGgR0rqLFtVSvq6xkdLa
2noAa0ldfePihrr6eorXwUUtUWu/0ah4SiX1QEJVSSLVHY6dUi+cSJ6JgM5sut3XtsKmKAZv
I5cR5NwOL+W9HN8zLWfjJUuIE37nEpUUA++Q9LzEa6JD3LWgTq5nh78iliHP2GuiMzksqCJR
h6kEXhOdyTMQlECMwg5jVTmuOrtMtJfH0W8z29m43RJut4TrC5qLnxGRbRH/m8nxmaJcnC7n
esslfUztH+ghvD5azPijxV4TbeR6jRa7q8CumHz15Oa0JhrpXtxYEw0tjEZiqU0LNy1ZvHBx
oycZ99RT36iHdXfF6nVGMWk98rynENaWKJ/3XsO+J5Rpw2/dtq/Br/U/snnRc7MVbq+Qr5d2
wd+kAnGrefDZBfCBAn4eKoA3FPCzpgBOoP6Seii4YAHW2WKiaT198ZiGNxVd04i2cqO2NtwT
SerhREs0kEyGk0Rr7VylhcIJDneuaonGY+HOQHc0zGR5JZBPH8sCrnqCQS2JXB1yQYb3p/Qk
6U9EYvoGCANxHkZfIBIjV7S1Nrdo9Z56zyIMm3VLm9F9Ffh3B8n1i9T0yASU/5jzS0q7KC0m
uS6P6RqOlxBzG3dJuKzfK+FFEt4v4fL49m/72OkfcOx0qMR/55DuyCyg4EvOfUyeXfQ9EGXn
b4ffitleuEK+F0Ujw1lI829BHkMbOUj5BPIY0sgQ5W9EHrvwyLPA1v2mNf3aDf70+/5th0bb
O1v3Dx2Ekeff/2IXJfuLgWT2g+LRDRWzYfDuuRcCX+dfuAOIf9uYy5/+YOOMPTRyCLdy/SAK
ssOgvJ3Gu37fBkwewe/dQe3v+IQ6ePFLOzjwp0f9L2Yu9ysv+1/7Up9qeCsT3ipmox+a/9ZL
XyxSobkq14FhJgaBrX/Z8QxAypF9WB+DtU4M7HKSchz+S7AznH2KBtmD60duARu8hppW01s+
9qdTw4OHsJSvfZnN7vedKAUDIGh3uGrAdyL98uAoiKmjzE7Q2eY7oWzbcmLCbe/vwWp+ZV+u
dBt2NV3d9J2mdLZpXVNn2875zygqFHbnQqQdrenjrek36/677YIPaCu/eNKemQj+/Hf+Rp8l
PLSlP2pLH18OHrJT3vVv26f4Lz6c+gg7wHfXN13ftL7phiZtn1SfR/bxPsO7iAK9zx+ORuPq
1fFENETmh0qJMsO+rJb3s1dPZrO3Ap0JGbcBnQS18RjQKNCXgL4LtFxh9zlMyi1ribLJrcwo
L3HuUkrciOMcdQD8XCj12/z6hMzj+n7Qb0cFl3uFq2plRdnNzq3k8unLLmyYN4dwHZwbNkBc
qxFocrm/b2uZWGxrBU9MFoK/3SAPo7zZ5b7X1uyqusfuc6k7i5pd1Xc7/K7a7xf7XUu2laxx
eftdS5pctU2u6maXCnqg3+xy0jifwvjBjzxORRrm64AhTkVSCtCIhU9a+Ds4Led0dxHzO5Hz
b/B57lzOi/l5BufF/Dqd02oun2mRH/syG0faZWP+xD3Fa2e8mCu3cnkp53/KaRmnVZxOJeZk
F/74fUvUXRenov1LOBXLJy8vr8CrOS/iFvlNsPDQPLQ8Tq6f5byo11HOH+flO1PJWAdZ0ls8
zg85Pc5psaUfiXRFS8tStRpWEReojZ6LPfUqPBY0wmNAo1rdn4C5MhoOJMMXkG8TUdWswop5
d1ldILx3iJhmnIqK1w8QNm7yGdqcJS4kCvVts5X8BElRyWQKFtso6HgBiL3IAdMsGDgeYXb7
0bczwRSx7Ry4gFHsV+fJSnnkTUQPGgq2H1xf/Djl3qRce8lUbnIpN3FGiFLMVKOYUZT6qVTm
uyaX2V0zXJXKpBI3dDHbPFJWdhlAECK/hLIUVcBlK5TC4VEuP9fuWlq2DFi08VY92HyuMhmb
hQjcBl2upExBMWTcSOzOHE6upPX/Lcxd+cI1EX4VvrpTiB5O6p4gC3iCTZR6yoc/SkEl2n+A
P85l8KsUryyOXGuzgXEqloz0xMIhNdgbSBBY7PSoBoQVDP1BbVmw4FRdQl3Yp6di4Ut7wrFw
IhIENpAI9l7K1rHqwh5S0xvvC9fQx7uaZCJY05MIhLRksDcej9YEoj3xRETv7UvW+G++qZ7Q
lRIvB40GgwgkeoIk2RtP6ObgGESvIreE9c39YVTdSIgnublPD3QD1ROM9oor0A4n+oknFtfD
nqbm1oV6oIdzPbGUpzsVgZV4JEQo1xtI9hJPaHMM/DGqJ5hkIzyLRuIxE6OBDColgIr8qj+q
Y5YR+NXDm+B3AzAgi4cCeoB4wr3ahkSgL6z1hhI5jllogUQisJlZiOsbgwkaRqAvEoSs4zr9
Ybkwj93JJPEE43194Rhi4e5UDxgHYj2w7OVsJLYhboi6uxPhjYKDB5CwuMaSnjbZsd/ZvHlw
m/GcZcbt5JK8eJExT5hxhzE/mPFiYx4x4yV57792uFmJ+7YZn2Dc/814qTFPmPEyY7404+Vk
KC8+0XiON+MuY5414xVkOC/uNp4/zXglqS7Jh08y5m0zPtmYr834FFKbF5+ad36xk3OM5xEz
Ps2Yj814FdmUFz+X7MiLTx+HMXxGAXxmAfxbBfBZBfDZ4zC8uxaRT7NW3FkAn0xtxtenSvDG
PZF4Lf1hEce3WnA/x63rvhuo/1y9ifVHH70e3773cz/DFj+7qf74fjJYoFyFyvsy9VNJqpxm
/2+Q/PVACvgZpvrj+89x+jtpXLlKFIZb459Op8Lx/Xaugm0wvh96lPz7EM0Un0gO8nEn1pdr
OW4d19cq+fcnegvgtxbI9x6Kj78/3F9A/7kC/v8d8ErpfiKe9X9VQH9Mwb2H8fXjgIJXwtLD
Ok4rOb7Vgs+ysfrp4vmGOe6xof/x430px3dZ8MttLB6r/gru37qou5Liee7POJnCaiKY0JN6
Ch5Ug0TTVras1dpaOzo1jeT2gTS9Twvifk+S5IE0LRTXeqLx7kBUC+nxRFILpDYRmGr7o2E9
HPIsXlx/UX4lLTeFazAtJzYTNumHUn19m8FE4rTczM9V+VpI01asbVrl03yrl+OmFi0Av76i
bU1zU5u2ZsWKDl+n1tnU3OZDDZOnkBmgu1JEW37t6qZVrS0Elw4cY7tXXq+8WcW3soLJFC0J
Eean32jDDTGLL+bBujlmUTrl/twasAtFYloqGQ6dYrsOmiJXLE0DmVF5oWRc6w3EQlTLKBtd
pmkarKCEEa23MF1Y0XUpU/kDJZzJ8BZmPPPbeL8V+9UWfev+7Vxi3tvL7W8zXrXoF1n4Oou9
WJddwoF5p7HH/Y/j8MxrPHdz+y5L/OK533gdwBOO2zIp/63cfisHhjiO+wQKGf98/h3C9gCE
vVgPevnGgNhHEMlafziPZqX4xbrxOLcX+7AifstrBnITYXsCghfrSyevKLVA/CLdQlidCnux
Dq3m9qKc1voT+HZu38x5sV71cvsuyb48j/09JPdOBpO4b+7m9tYVmLX90xZ7sf4d4ortFn23
hd5vsRfzqZsX+OeWBnObWfJDi72YL9/gwASLvjX+3cQ8/sQ8Ocztp1j0rfZPWuxz74kY32jR
t9r/zGIv1vHVfGPqqEXf2n+G4A83S8Q+WO59Wn59K/8q/FVI9mJ9Vf0V7d/h8Qt7sc6r/Yr2
vySs7YR97r0eB3jFiPYVsOgHH1ryF88jS0pPnb+ghy32Yt3p5fZLTmN/1GIv1k2bSs1xWu1F
+pxjwl6sc3YUiN96/8pyzPqOXtifX8BeUKeS/53g33J7q1+r7rQC9u9x+3dPYz+3gP0/8Y1f
60Rr1a0rYF/DN7bXnMb+UiV//d3G7d8sYC9oJcm1nZw6+Ea635KhNX/T3C+l3S5Gh3jHx5cR
+E403/50vvy7+Eb5VRbnX/f979l0ZpKnBpfR3+wnQPiVz2L2vU+e739qGxobGtj3P/WNi+oW
0e9/Lmq86Oz3P2ciYeuPG5u7Sr2Ujk1l9F0be2mSDAfjsZBRC3+C1XE2nU1n09n0p50UMtFL
Ly4sZxQXbcrBSYy5i1P6YneUM6+XMYrLOkWdzJj/4ea45la6OLihQjLfzcEdFZLmsMUcl9xK
7ZQ85v1TzOZUczcHfylrPsvBt10SqPL56/0pEriVg0JoAg9IZf9/kTw10UjspnAoGkl+YyvA
U37/XVdXW19Xm1v/1S6G9V99AywJz67/zkAq9P23WAJ6Oe7ckbMR33/PIbP/6L7/vptvHN5t
bCCqhl1xjgXaZaIHeRwPF5vtxPfO1dyumusL+k19//3IOYx/5Byvib7E9V6y2P0xfP/9yvD2
xy+fMOn2t38967mrr9lZ8Un5XSGUVRJ5r9R933nKlDmV3BZnnsSDJbZ5feUtm2/X7j7v5NEJ
sx66ZWa17822qQ+XtxSKv6TA+0j8/jAfXuj78BcK+Hm8AF5py49/WEC/0Pfk0wroF/rO/Lck
vz4pEM+RAv6fLuDnrkLlLYCPoAx3g+Z2Ub6KD9C/VhjuncdwN8dLeJxufl8RaQ3332/B3YS9
Zx3i+DKOP8DjH51g1j/J49k635zvGfs+X7tu9ZUd+sXdgWQkqEXiydZgh15Xh9+1aXoiENEB
8PmCG9s3+jaiboe+BJQ0UA83tsYi+vI6gZ/GxaJgNBxI+EBSr7WCB/jTAzrm36E3BPE1ITiJ
JJK+tRGKNQZxbwfBeDTpQyx2cx+VRJOtefyvBayBhQCeE+FAX2uwU/N1LNLarwwyj+FYKJo3
tjy2nVpnLVgv1owQ2les7Yh3aD4eXTiRyFcfLaw+QtH2jV/h6IOmBTcFNKiGTfQlKrQwbeBU
P+mD4scA68NqiwFw6pMR9Pqaa7QGD32Bws5H4K/deNvHrm3GP7xWjJMUeI7iXSV3ToWdo7CT
uXweUOi/3P1Xv+A+J/qsEfMIH08Owu6bIonx5CDm8Sj6O+LTZP05DLeey/BLuLxF2y7h8rui
ayRcnne7JFyed3olvETC+yX8HAnfJOHyO7OtEj5ZwndIeJmE75Lwcgl/WMInSvhuCXdJ+JMS
XiHhz0q4/G5uj4TL71zoGYSdjvUK4edWOhTTuRWRsot+UoXnV56qEudXkJfPrzxaZT6/8sMq
8/mV+6rk8yvZ+Xchj004spvy30Mem25kFzsPgzw22chWdh4GeQx/pJ+dh0EelzEjXZTvRh6b
ZqSd8tchj89xI17Kr0Uem2KklvIrkccmGFEp34w8Vv2Im/JLkccqHyGUr0ceq3pk9Mt852+e
nUrP33gp2f+f8ICWmZY7fzPg+MUMlUANF7PzLljvg7h43XsMDPY7ngQpVl6mA2wGcfbBRhj5
ZygAO7/z9hx6fufgnALnd1BwqvM7B+ew8zvUwWnP7zBvpvM7EyFCy/mdz6fnzu+o6lc/v+PO
rMfzM+ktY4PYFzM/otzP/QO+MX+63UnpAKdpN2OhUr100UrZ/V7aiXch88o+7rY2U8zcZtKp
Q/70undAmvEPeN0QR2oFYwCkHuGSDKw7ZFxL3oFlKAtFYt2H21jAn5zEfDAs35jw8k4uZEqB
XycVx+vEKMp5FFRgBO7OrDrJ6iOdOipKP7CKXqb/zZ/en5kOlSepz7Kqu03aH38paauZ0RO5
WuGlZbHTS4ws7Rs9fB4AowNkme9QynZ4BjJca1So+LdtGSWpdxgpoS18uMjUAmpmO88Lj2eB
aJjbjoHRmGG0VGrhYV5Fw9YqGjbqDkr09BfZLD+1ZWR1bq5Y0AZolX4LdYuyvHEwS306rW3a
flS6Nss9HXbQYCSHB774evV062nqCTIeWMUCo82y7qSpEa9l2Y3xFuRdx334It5h3AMk/fIg
TpyZez7PZvcSeLRCN58CI1SkPufOYawi94z3s0L28+PPpXCcmV98njccKeAnhUY6NXrKACBz
3tJTjRhQOpp2S43YAU6XZDqYUxiWqYMwZg+AGlCsct8BoMOWEch6ipt3HLd1fC4XQ36gaq8N
yjmI65HM4O+y2fSvsMw+uNqLa3hknKwiM1I5MjmnuYr8G8lpueH0RsPp6Jjk9LnfCaftlrsI
OMNePTAp1+PlcsgsLcfwuHJ8Niay3CJn6WVZDkvlkJyayzE8rhyPGk6rZaeHx4TTXDmokPWk
V1G3ivckTTb8uzFRAadrlmoj52c+kxz8+djv0yyvfyacXis7nTmWt1lwkAJW6k8DtxJGrx/o
WjfPDm51Ly357vrcCHgCnW85kU6NbdtyQkmdfwe2A8yKswYf+DPIexqI//EATJ17kR3EZ7/M
3M/EKMv0YkCoP0hn+idwEhW+uzIrQerfiS23P/PGGL0ewusDWLn+c0TFHzmezR6uHFj3POqy
W9rPsFN3GRqvHafGz/th1OMyPTOMALTGto+qsPcpB9HoSgTvHKp4YGj7UOpZkfEnX/A6Y64+
xMxmDvj2iBuIA4C9t/Nm76UZrdvDjGkoB8Ee/P2r5ONRNMGbwaAbg9mG7B1GsPOk4gwxH/87
ZiqOzVqcynzFufWYpTi07mabizPNWpzFx6Ti/NUxozhDvDjK+OK8TrV8u0FzyL9zFRSc3tsX
mHN6WmiBqOxzk+g+EJlnHndm9bFC/epB7FeDR0W/etDoV/9y1OhX7mN5+lVu6UfXb5bzzaXs
fPPe0gLnmz848nufb5YDgAre6VAmsrPxU6Dx6o6PlEIBcjp1/wHQZ0ewFOPORWNSyWrfNZ3q
woWXqWR5PBZmV4SsuVJdqEbDelKNxuM3qQFd1XsjSbU7vCGeCKs3h9Vkb6Rfjegq/3LEhwfb
IrEedUMkkdRVfJ2wtLSU43hILtwDtLqls23hclWPq+FY6IKlKmRfWmqYss8LqG0pfVE0w75s
iLDn2kO/zWbnQTMchaLgt13zjrJz2RdCG7UBvQNoFOhS6Ip3A40AfQroQ0BfBWqHu8DHQGNA
y6Hog0C/DdQDHaIN6AtAo0DfA3o30AYY+08B/TX0vzeAzoVF0VGglwKdAk9bF8NSsBHoXwDt
BPoYUB3oFOgkzwOdB/QN++nPjbuPfLVz47I+3QvrdLm7XU76nTRuVez5NJule16nOE9+Pfy9
BfZ4kDR3nnwtPU+OcjwHPxHq9R9M8r835HjW9QmQ18jyG6mYyp+Hv5+C3CPLIzk5tts+kEdN
/nsM//h/DFRAO95kkm8w5DOhfNeB/CqTvM2QXwLygWP8ILQhv9GQXw/y/wL5vSb5Xbnyg7wV
+sscWb4+F/8jIMfbe6fJfg1VwHZ4HuS3g/wZmyT3bbPbH7MxJ9zPIdBzQP9qlv1syeVTBPbn
g3y6LF+Xk88D+XkgP6FIcvtnyv+xc+3RURTpvnsenUkmmZlkJpMZGDBgEoI7Q8IrIQRCRHkI
6iIEBEQuryDRCC4LER+YoKIgIu+HgIjo8QFcAUGUh3AVEBAVvHJFWQVdQYWLexbvUVgfcL/f
VzU9NcPA7tk999x/mHOmf1X1ffXVV19Xd1f1r7uhwd8NIPlvP1/a/iiS4wyezD74iEdJXvjL
v/5dgffJTp9f4r8rgPLjVNCTyltqV35Xfld+V35Xfv9fvxXyuZ4d8sGXHPkgTIMsj/4Snz+P
4i49Pv9hQv5zmYjekx8oebvovfjTsr3o916ifHz0Tevo8+ZROj8g5f/o916+jH53ROZXSHn0
ey/l8uL0j37vpVDe7zffG5P9u9T3Xj6V79VEy2fLfNTvnhIv9b2XPlI/+r2XaLvR772Ekrx/
/3/xM593SPgtlPvzRYmbJL4r8ROJ30j8SaIheV2/xAKJJRK7SxwgcbTEOomPJfDF0d8/+R2Z
d+Vw96YktSr13wlG9T+Th8vAZO9Q0G97MPbdmXoaW7YtNCAH2ZI3ZMHLxtbTNCRtlREN33fh
79DYg7QNWPmTSUa3FIxBJDXje2s0bTNqHUjj4RyH8VZqNO3RbLaUdZRNcViZuTu0QNhdTWWO
IDlkH67DQKrD6DeEjs3TlE6zGQM+JnR6aUwbAyF2hkjfGHKam11CTRlVVn6SA49TGLdvhFEt
HfN2/DPwuRqrZtONd6hDLvGNHOtQMm8Mxftq1mFI3pmmY4qbMpFOAW5Y8zja0NYNC5l/nDCK
LHxHLWWlVGbj2YCUGVh2ZKXMFIVPnWeY1SgVMLsHw5wRDHOnMcx7nmH+DoYFf2JYeIZh0W8M
i69OAzzdk2FJDcPS+QzL1jIs382w4huG5yxOwMomDC9cx/DSSIZV0xjWvMzw6k6GdUcZ1tvS
Aa81ZdjQgWFjX4bXaxk2PcbwRvcMwJtDGDY/wLBlCcPWzQzbjjO8dYFhRwsX4O0bGN6pYdg5
m2HXOobdBxjePcGwx+4G7M1n2NeN4b1qhv0PMrw/j+GD9QwfHmQ48BeGgxkeDFuHvjYTmKp/
xJimnyP03U7ddRfbv6fRpjtO7qCRbu1HRY7/xm61liN5Gjs7+yA57/ihOfW5LQ1jf48s2twE
RtttpXxO9R80x08vUcz7UVl/qxQKjZzaCZrj54F2IRwfLwysoTYdFr0BBwE1tBDiwVnRDTzS
An/D8Df0g+QOCtZFdbTANtRO0/fSdQIFh6xqRdnCUip0uPQgWR9GBeegMyyhhfMkdGTpJXah
E7Il0eEQ+PX1DqFTaepwWwiDFuiDiDXSC8kfFAyGZDSHyUXZQAeIc/X+1Bry98Wc/JFaduTp
eI8SUVocrShqB6vHjdYchfrr6aJio0boU1j/PEPkhZbGJ43UbfywTVr72ixAydNeQOkGL+6m
kG7qW9NpXDXeQi7anG3vo3ZD+JKcHtpAJZbQJCqwhfoiriG81esJbSCruaHsVLw9GlpnwcUz
dD4D71yHniXlBluoFWk0OELjyUCDJ1SOXG5oGY2GBqrRl7rUQFV+T8Xr9BDecHuPrn+pWLCG
HmKhTWu8CWcX5x2vwZ1xVrhTZIc76Va4sxrRCYEu94T6GHAnI1rRjfOvc9YxVDyA03poM/cm
YkH1kgxUn58ulZ9F1vm6YWAX44wYapwOZT6dh75JFWpNcmk3jaYGmrYgfd2ZbdGrqcZVIdo4
m1gOUCSvwgNlzqYW7KtcaDmDFr07yW+kf7PjePSheQGKG1n0QdGiZnwS1q5eA8GFUxRcPW8t
TtcWvd7Ap7ncaCZ/VPVIzWkXRZa8B6hjTofI2fLHVE/SnE6Rc+Q9TyacHpHz5G2iADt9Ipeb
P27kBM2ZI3KVeRvgbmORayjQXXBe5DS9YCWaaC6zloLWsFMgs7aCieh1S5l1FFRAGpZZT8Gz
FH5nkczmFvSnqDnbymxlXl8ol4jsurze1H1nmcj1KkijaDs7yY7pLYop5s5eOgaAnodbUs6b
9QUpHJX7CfKK0YNbRJElrwwhHCBytrz/hGyQyGkt6miYOGt0jGw9f/g992jOWv2YsLSLIB+P
XTnHiSJLXie4MUHkbPk1YzXnvSLjyMc9Uuf9IufJ64c4TBa53BZfIfTT9WPcyIjqOzTnk/r1
DrTvbkmQP3LieM05SxTp+fgmhHOuyFm0rPS+P+KgTO93iqGKL5XpQ5w+QHU+w5guDDVVBE16
Ugc3UOXCvTZxzW45jQJwFsPdigeRMqYtou01L5Fvls4rU4TyNUdwBFX8l11kf+fAEdHLjSl1
uCVdG4zhOhrGldnPIzP8EGkYJy0o9VFY/NjgOg/ZK5AZ1o5UhL+fN6gW1aoksNnsmTS2wgHy
zjjLhnCN91ea1sJXQZRhRc3JKJ2sNPQIgRu6YSwEjN4WaD0fVZBODqYOGH1ZtMMUwUpECy+C
8QdY9qdEWT06cIp9OmO22WoBSv/KpeHOFFxjkv4EpZvQsPaH0Tvk/MiSf5jZhHEb3ribtTAP
EYFIUA3vgCM1OhwZCqWhwsAoPL/CVsJQWMxWnjKtcEptEGbDQaieYxcxx1GD2RRhOs+i3VGR
Fj6IfgzhKHxj2mazMhTfo9pUVsAEyT9ZCdMJOnqMbCtMYtbkR0K2hhOZMYqrdXaq0fUjS+7i
LmR4Idxdz1ojk2iFD8C7P7AcM7AE76TSaXj4Fiu9HOehlP875rq1LN/pjBc9idnqZhYdTRC9
BNF4Dvp5iHjD4ZTxxqFV1B9aS+EWpn/CPxjRiryIzfOwjBlhzCmtyAl//gOSvgmSt9HdeTBS
m2DtYQykX+HMY/F1wmfIL+NWK0Sr0y8OEcrI2fUE7k20KZ5wt9bBNRUzUcOgwLkeF7P9NXQi
cE1D2mZgYeuajrTD2EguuZ5AOt14mvapawbP5427MZt4EmmfgUm1aybSAaMUy4KnkA4ZGbA/
C+lco5rcdM3FbKLQeBQzk3kYr8V0doH/V3GcMS+W/f0IcV2OvmCWHIsE90wrqkdwX4TlJRlx
e1yI/RgRC1Fpc5La4SfSYJybPJoR3bWcUo8nVAg3w4JIY9ULGfGBPwgr7+iNqEv4C1EzFy/C
bF84YAINhw9Db5/e1YUb7fF6NtsyCnv4KDQa6dDGFF/xl9XCJyA/pCN40+MsiLOczWF3Z+CU
RCXGZzpmdOuSqBVhiWfsQlcOuJJEBZ8FMar5NITFBB/MWrgFQtmNS7G2SAx1eDKO8xvYdyw6
LrK6CHvqZpZ3Syb/DEO+L8urTXllTH4b7A/iI/TBaPt05lmM8fswF8+LFbfGJ1aNL7FFwXrT
YT7XBZrDF0MHoPRgXH+01qkYiaewRf4vCZUd2AmZOgClWCkplQN7cG3opANQ0Nqj1hZ9abOS
BkXKD1hbZaWcE0ssXS6xLGKJNZu65cnLygxjmZCVGTlGYMd3NvSs0lVksu0H5HtWxxbU7bag
8rLKOTkEpV2O0ASh7R6sZStRWlhgEcskzX5tBls4HbNwzGta4OSlLWA4aXZ8M44stMo0LbSJ
+dDm8j7wd8Xtn6WzhXtiFmp8pgVOXtpCBCuWdscdbEHWHhurPfbytafzw7/h/bjPsV9/jxzA
Xz0OPbZPHZhIYBd/rZ8h6Zk4DfM4S8NxtghD9pQeIKfwv1gt5UVMb3THZgvA2Aqw2N+lgdVm
Hx1O7lKsiNu7O/wVc7ISBxZ/JQ4slW26ZQ2fOJDxSAHWhfa1FL1h3vZYnxm4H+ktw0lLMw6T
ircj0g4ji3S8lUh7DOw1b3ekA8Y42np7IJ1rgP/09kS60PgYdW9AuthwoW4vpDsYF+hE4O2N
dKVxPTXuvRHpnga+R+O9CXuzj3EO6ZuRvsXYC5t9kO5rHKaee/si3c84gvIqpKuMqdRv7wCk
+xuT0NbtSA8wZsCHoUjfauA+s3c40gONj2FnJNKDjE9QXo30YGMK7NyB9G3GBNgZi/QQ43HY
GYf07VrRBdqP3gfhNBayYuKJq41WiuPQW7/di+hiyWt9nXaorxAa1n+jyGfnIunGSs29gK8C
mAJbJ9KO8rdDgbUtFttbcC/Y4zBo695Fxor24NqwFnUxIRfzIMzXtaLv0PgXKOhiSn5kySlI
jiCNabtwsGgfDK1G1Rqz0I3h78Yotn8Ln3Jsi33Y9aSaYxdX74/J9xwDxQ7y64+E9rnkaCAn
9QBUreR/ThrEdC6nTY6TVY2htKdz0pH2aO11aykmK5kUNt3roW4v98XuZfLzBDgPLWucrWll
h2VxpSzueKOmZ0PfOgfPnZd3w8HebD9JmsgXgDebBh4lA51IvxkSljkDO9UNr6UcTzDnVHUa
ew9l4JJlTs+y9rL2s9F2xt7TRtMjQjwGUcnGIYKWy5dTJ/XSFTQQPpG1isw298s2S/dzm2NE
m6WizVHCTPn/0LDRK07icJPvTrcyDaT7hYEKJEwDFXEGOp/G8rTbzxRAONhWGqk1jdRLI93q
/UrPu8mel/WQFQbIChXptMv1HrKzFd/aY7lhsusdpqLJqtHyZtqz0sJdZpNfyyarvpZNIrxV
wkifso1SvyouvAPiw9vhB5z7R2+yijbS5NvXt5ht9MgRbYxGwuzW6Gi3msoK5bFGNH1MfBvl
5Whj4s3Uj9uk+jjT/iZpf+Im1f7EqP1xssKguLDdGxe2e+PDVn4nxueU6+gk856sPcts7qRs
bsrJHOEiV+myHnamTaXRMUi+lN7crBIKiCrTkDCrdOYF/8wVhgjcA+74YOvLhstqM4cHlEE1
c3RA+MpG3HcF+BqBQ/N6HJoLr04Vh+YBae/V6GtHy75ke61J50s2UdnpRtqdC08EcFy+WV92
UtaYLmtUTMUhs/gUKw+smInc0yLXR0aKNx4+wCoHUMOTJSnS1exEYVDTrh2JYbhZ7JHaa+fb
Y7kxWlfdiHGPjcx61/1G+wBExvWf08kr1YrHPvHrNsGDuyu4u9bQMKl7PeV6aUyO1fc4TJk7
6JxV2cNK1+dQGt5t7kipn3AzseGhnt0ofYR6caG+2yRKbk0RVvhXf8MjVHSNlU3hV6991Qjc
RjubyeBsdwkGJ5H6wXLjCoOTwOB8lZqEwRGFT51lmOVlYmV2JcOc2xjmTmGYt4xh/psMCw4x
LDzFsOgnhsUh5leevpZhyQiGpTMZlgkmZvl2hhXHGJ77RTA4fmZbXujE8NIQhlVTGNY8x/Dq
NoZ1hxnW/yYYnBwmXTa0ZtjYm+H1aoZN9QxvdGGa5c3+DJsnMGyZx7D1NYZtXzC8dY5hRy4T
K293ZXhnBMPO6Qy7XmHYvZfh3aMMe84LBqephxmcCob3hjLsn8jw/pMMH6xi+HAfw4FvGQ4a
mYLBOZslGJygVzA4lV7J4Hj+CQZnFqZRCzBrSWBwlnolg7PA1IgxOBCOjxcmZXBWeqObSzM4
K7m2wuCg4JBVrShbUBicl72SwXk5oQWFwYGIGZxEHYXBgajS1Pk7DM6rHKZLMjjCSYXBQZQW
RyuK2n+XwWGtBAZnI1M3JV/5mMH5xWcyOA+7rzA4/wKDk5MdY3Cwry5mcMrwIEk8g4OiKwzO
FQZHMji9spnB6ZKtMjjDOFd9P8OY+Qw1r2RfnsFpcpx25oHksqyMuu9hJePeJn7AAw8xTFnK
8PA6hkd2Mzx6hOExWw5g+lUMM9ozPNWHYdZdDLNnMMxdzbD4fYYlnzIsPcWwzBYAPHM1w/Ku
DCsGMjw3ieHMTdzeT5+DZ844O48L//Yqw896EPDLTs79+meG3xpTobWezl2uqUxQ4bsHlk51
VPBcqmSyXMxk/S7GZG3F/VaFuooo1NVZkxWKKNRVBjiPDHHDF9RVRFJXbakIfz9v+A6C1CpL
M6mriEJdYXLjLzOtRRTqqg6ldUpDD4LZgW5Eoa6WRRWkkwp19aYpgpVWWkShrg4lyhTq6pTZ
ZpFCXUUU6srv1FQ+yi+oGUzpIgp1hQmYCESCakShrm6F0q3CAD8pwlYU6upx0wqn1AZhNqJQ
V0zjKMFUqKvtUZEWUairY6ZtNitDoVBXmBn665QwKdQVpovixoxoTaGuStLV6PpLBJkC6iqi
UFdDkmhFFOoKU88E76SSQl1hYhrzUMoV6mpberxIoa4OJ4gU6uosRLzhcMp447xRLKgruIV5
r/APRrTiGHWFqXDMKa04Rl31TpAI6gpGqhOsxair+vg6EYW6eiHj4hChjJxdhSXIWtq0BnXl
noopOFNXboW6civUlVuhrtwKdeVWqCu3Ql25FerKrVBXboW6cs/FNEpQV25JXUUU6goLAtlf
QV2hL1gexCIhSIDiGHU1zxW3x4VYUFeo9FqS2hGFujrsiu5aTqnHEypEFOrqnCs+8JK68lKX
8BeiRm5Noa7QcERSV+UkKU/QE9RVRFJX0MbaRvGX1SKSukLwHo6zEEddRRTq6pUkasUx6mqv
O0lUFOoKqyhBXUUU6uq8++JQRyR1BWNYbV1kVVJXKK5IJpfUFYqHmvKymFyhrrBwi555FOrq
yVhxmxh1hYJVUYk416nUFUr3edT+aG1i1BXy3yZUVqirOk7GVVapKxRck6nWFn1pK6grLCqz
Us6JtaUu15YWsbYEdZWZl5UlqKsshbrylj5PJtt9wFQFWJl2oG28TF21A23j7dKS5i3tQNt4
k1JX3tITMQvtsk0LnLy0BYW68pa2yDIttIn50ObyPijUlbe0JmZhe8yH7Zf3YSKWanamrryl
q2MWdsYs7Ly8BRw3NCHaJ2ZQn4mp03ExdToh5kzfiDnTd2IidRJTp/ajauq0jE+eoQMLFf1l
XrmhgSmZsCysGL3xh7VgwiKSCYN+WZxGHBMWkUzYMC/IqWRql2bC2oIJ85TizkKJRzBhpUx4
lV6KCStVmDBfe6xzmQnzleEcKJgwX0ekBRPmq0RaMGG+7kgLJszXA2nBhPl6Ii2YMN8NSAsm
zNcLacGE+XojLZgw341ICybMpzBhPoUJ8ylMmE9hwnwKE+ZTmDCfwoT5FCbMpzBhPoUJ8ylM
mE9hwnwKE+aTTFgxmDDfg3AaNwQUJqwDDmtfvcF3d3HrgJmw7BgT5s8Vd/0KQfe4lzJjBjuJ
tFhOjBbL2dKfzd2G+8bptCkGLZbDtBhWOWKOhUWQVgxaLIdpsfmmpBdLQIvlHEEaayHhbTFo
sZzVqLrdLHTj0HLj6Eh1BEbgrhtWP8bvqSAwksdfx/HVd2uBUTwz0KxHcaO2ei/ppHoCd+K+
HJZJQv8uPsiEfi3SDs3aDIK7zwn9ug/lgST07+UjSehPQpr08VBF4L5C0nGMR/KEZZQf4biT
tuXwAcsxf/NsudEi42AphS8E8yHChvSXgLIpngETs3F1xrpNhqEBhfNQYXesEPOEwEI4fcQs
jPSA7R8suM2MJV6sWTFP4M1AtNcZ54mAz4rYYRUoxohYggRhpJ0Fux0rQ2l6Gkr9VgQPC0U/
X9c5fpEqiIbyoueuaAV5MRwEL2t4rocFZcJygi7hqDqcq65OIq+4FvJfLVh++qdpF/ej6FM0
UMdX+wpMiAKTdKxO/Xw3vngwqr+AcGKtKgy34vGG71IF3oD/V8dJ5MwjE+KtGONdk4gje9DS
+7wPBwbMEBWhUi13FstfMUtTZg5v8FDkzs4z5WJR8ziqhqwYajjFK+ft4qmo9QzSO82miu9E
4Uco/HMy9zvA3Cc4OePacJF4OMRrMLdrHIwPywjYXYvLQ/t4ieCgg7bBQclBBxUOOmgMDgoO
GrUEBx1MnROUHHQwDWLBQQedrMocdDAdaY9Wov8ve88WI8dxXN+D9N5RpEieHqQiKSNSofi4
273dW76PxzuSe+SRJ5K4uzihPjycncfuiLszq5nZW54cRQ5sGAmCOBTgOEJgIEJgIAZiAYI/
EgMUEH0EiQQEgX6M6MdAgIBSPhIYiWTFSAwrVdXd8+idJRnBcfShBXkzU1PVXV1VXf2crlFc
gz69hit4mzFZuRJD30FjZ+LbE4+BN35fgP9NgBdw1atwfTctXS3gqtcYPoy88sbLC7SotoUc
2yvfe/kMfj0xNMEfv/vywvIMGzrEcW+9zNhZXOT6oThLOlnkugSZnqNFrhmxyHWOFrlm5CJX
rbYt+bAuWeRalItc5384hotc3xKLXBfaO1KLXEu4WHWR8UWui+/uEItcF38mF7kuzOyMF7ku
ze2Ui1wXujvVRa7lr+xUFrnyQkhPsJFts1jmR+KQ0FAxksDSmyaGRrZt2YJvKHL01hgNp7S/
gLGmcXKcQzch8djEEMf3tiHF+KNDCfmWralcHhgaWppA6Nan2NJECXcFJlGsH9zHEGe7DGa9
4/gQD02NBDsLDG93YaeTbjfh7UPHReLQeiWhrz0oHtLAaArTeZTeFPibpQn+bleMvikB7i4y
gSmAoE0VDyrLaEY+j+8HHh6HqvDE8NCIyPnJYYmyqUJIv7o1Ftfp3ZiIlqRb2TK72yKpPIUM
V+HtHvUt+KdEWxUo7tPpBBEHl8t+bSsP5p0B7uvDBNt9JlEfpra/BI8oqwP85kng4WCVSXFK
pg9VYx7wcTLhUkpwCj9vLJIYYzi453RYco44DUZWSIRYTmtP4lTAALZJjJnEjjgz1cRMwU2d
iM3jyHZhP0djNgS/x7KZZOKjH5cB0U9kA6KfTNNkKGY3ZRBP5SX+xxx1rpoJvn66P02BOF+E
MlV3Z/JZyEZuP1NkGRTwWlXS2endVZLLuSo7T5g1vPHINBfFLTiR8+IWN3WJW7CHJXFLp4l+
7jM+9xmf3mfEQlN8RgKazLqRqX43UkQ3UlLdyHS/Gyln3Uglz43MpN1IVXUjh1VNgwdJnMlR
6UyOqc7k+D4cA2yNfQDa+cmHhanOYl/pVJxyXK65pKgccDpdpEy1n5cOaSHrkM5kfcnZHI9x
Lusxan0eYzHrMc5Lj3Eh8RhLice4mHiMS4nHWE55jC/jDhk2jzuIhv5721b4SwEHcOql1A2D
kuuZra5ll8xDh0r00TZLg/lDy62XGqZZunnsiH6kOtX1bnh+zxOH1je8LifM0vSlW6q7UTjo
3cCU70Zk2fVuY9BL+2aUfUUpsSTgRtHsdLDH54rTslEks/Wu24qmXG8O32CsYb/YxG/V4day
HbgHafbw4G0ONukeKVOHccMr6D8CJ6bvOW4DHkElZss3jZaNqPKobYHXM6ONjnzh9Cy8i9y2
zXOgMsIt6LoT2MCD69mW7ndELp7d040Wph35yBNo3Ou27cA1E2YAxjPnKWJuCAYPDURtwOz5
gcW55LxwvJSkmrzXPDYsN52OTAwVHhp+euLO7ae8wvo7r9++c+dO+R9f+fBNNjw6tPntzbdn
CqcKX8U/3ZnC6cLrAB7+O3pXmN18k26izd1L1cKlN8XD+keC9M03r1WBbrlbKPXgTiXuFS7N
FCbgaYT/Hd67Q74CjvZOlAsTd8qF5cIpkVz3w2vlwitf/dqdf0nRTCc0Dw9PT3xcKN8Z/Paj
4QMTg99+WHjne4UigZzR4c0jr7x8C5qTH7PC28VbBahs38E1TwrI+Hn1g+qHZ75/9iqeCbmA
kD97dZDzNbg+ykH4rndu//Wd0ifDp3fdvlMq/EXBff8DenxEPhaad25/cK2YttRH0VBdaaf6
KoU8D90XbT2iCwknautNvxswXYfBehdjpmeLpovDBWfhOsciw21hPIHjug7Go5s3b1aqgyiW
3NphXW8bN2uMLlDu0Aw7npATqHCdAapudoNADzfadb9FKE1gZlWv+37LaHWaBj0YFlgXa9eD
yO9hmITy4SUvtINowYns4LJv2SvVZZCbe7XqwQMmc9MJ2pS8EximbrkNtE5Mym5QLn4LCqKD
kfHwCGqwhWrbX7drV82rl8w243mt+kGEQelXycQc125Z+bTlcuSjEHQUcG3lkskwJoZlm27b
aOkdH3d9DhQzJjXH1nudACAOoyAUVzq218ZyYaId3Qx1sFIT7DQkiJeBoIQgTS9k5+yWHdlf
JLWafmeDNW0DWNZdn0LdQ0HCDQ+I9J4bNXWqkkzn6GgsvoMyB/vYsIwNYOSKvri0XGOZABTE
7qQGtCdOpITAS6HNCVMHe3MadgSaA12HflAW1wojKNZzLuJlIxSopKvAbTQj1vVCtwH1USPE
XttuCxNp+D6Zxf3aY5jYI+jQ9cgO2h3m+RGWFh879eDGfafXStm3G+qcS0ybQoKs6rgjypeq
g8Q9zIwrDHHBEkKPyoO2hkY9nUhB2DNCyyk9xmC9DfyjWUVQe0PDsyB/uwOy4nJ2OrrvOKEd
sU4UWK7j6PcvJl5tXa/GhCHpVPNatgeOsGFE7rpN/GMRcZdcqem37RIF+CqFgVlqBIalQzWG
ClwyWg0/AOtqh6ULvRsV4OEYhh9ZglrLi4JyifwuVsZV4iDwjBZYa7tjBOSc2mh84I8t0hYY
sX4WzGCNrYeyiqAEsaShbd+w3IBExgW5iIelSpE5PdeiFEPbxIsbWjx7D1PtdIUhkn2BnlB/
FPclzzlgbZLOIRej0oqw4q9WdEzIcW+CYQjN2x29vqGHHcNEZwtlQAFtUG1s+j10LVwUTApK
7dFyHfK2OQnygpjIMHpTFE5oGp7D7BdiR8T088tXziws63rYretLuv7c0ct2D2WzTnXNdkQs
l1yXVgGXxkHcp7lIEwVdz2TrTuysdHQsrtHCNqYjiwRmzqUKYuamjA57ERyw33O9BinZx8A6
R0UZuMZWKAvcokk+cLEdOS2jEQ7QCFpIDfWxslrW2SI8CUf2v/INwuj9esI7OWt4uOF2wCk1
4nqF9mE93w0j3hC4wDpW6PvOsF07potmqcaclm9EqXhCKBKXKljLdu6/5rbiQvT5Yga8uZmq
i30l6Z2oZwBVAVvnAU1aypJQ/cKyu52OHZhkswtJN4eBPwugTNBrChrw3zZkho7QImUoe4e6
LixPFpFh45/PyBEjxAJA5Wub4I6gD9ryvYZm+V2KEjWoVSUk6sFgdURpi/YbnLUZ8Y5AnTzH
Wd+Dbp7txXa4Oq0zaCyMAOroc8evoqWTeXL3pWOoowgDSknLhydwy+CRwXahgF2Tnqfzi3NU
eDo0XRBpm5eG/sTNHlpgYDf00ADtkTDJZ7Ys0R3IehQuZ+ELSczguBtRUxBRFwvYYkp0q/sz
MDNp8Z4rV9LdolR7dTynkvPXSe8M+nHteoh23qPOBVgSyK/edQa4U/uF2J3KvhyVx+IXh19u
iEICEnVVUq0AtA6RGCdg9tiDEN6P9ciu47EDvse2zhWySfXlWMo4WNohIlfkj6FAjTbw45Af
tj1zQ/Zsz1/+de3soUN3OzZPm2pHXc8+1bA9FD48GsDoKR4zUJtqaFMdBk4piMgk8qsHVzaa
E5bDwSEOmm3sEKWesOvQCPxuBz0wiB93Ud+1wq2Y2JFVet3UJoPnKpfBLOokL5BkXEekgcad
HRDPi75nQ/eWN0/CWoWohRci22AtGh/ksjQDnbXaOm+6jbt0pWNZzaF+Ql9vQq0EA0jqGMrR
oaafX0L229jqQncnpJEG9UIdGPNQN/OuziVdXeeo12xDb4KzkKnK+hpRQ3IwvsTGU4gC6+Oq
6MI4cWOHmcxUqAcWUq/dDcWoluuFWUZkDPAtol8rW+vQdG0vch3XxEHuOh9sQ8qYGgx5NRwB
6tjL0COjkX2SvTS1D0EB3lDxJCtwK+SW+LVFfh29m+5ANxWHwS7+gRcG1lgcr0B7ZOG4M+uA
Zix3vQatACJTcwzmEE8rhBthZLfZ0VYLsHAgCz1Ui7ZcwYOI7Xd/YxNiE8oEPWYbTO2ISLBd
pzEmlRh9lEBrsRdgxAJZhDbWSvZC10dc9BSEIYrtiNIzGS1Pxg0UTDHim7EiuIXIqMMV0Ona
lHfUC+6wIqjPLi6cWZpCBfAnEFAR51GsKddi9NQ0wiYrWhsepMev4NvpDTTBIbQ8mQcd3oG3
MRBR3HVaEWYJrBYjbE6L0JNy4Z1PhlW0mziAbtt60wqSJ04BjVEAzpso5P3zZkBsGNAXgKz9
iGfAE6uHISuCTbTBDgGGHhPoDBizhPLR9Rw/flWvo52KJ+gF2/IeC3nP3wjO8QzP58CH4zix
WfgIm82Fj8bn3mbhm+LzbrPwzfG5uFn4F3LPkx1hhfgc2ix8LD7PNgsfj8+9zcK3xOf/ZuEP
sK/kwrfGcYiz8G3xucFZ+IPsp7nw7XH83Cx8B7v+aB58ZxIfOAOfiM8fzsIfYlou/OHcc3NH
2CPxOcJZ+KPsrVx4Emc1C9/dB+PwxwbAf2UA/PEB8CcGwJ/sg9GWTvbvn6jwwgA4RZyHct0S
m15kzMmnBuBPEn6/nI8znNzGT8DmM/DLAj6vwA0BV8+37gl+vin4EXuH2Nfpvl/vr4t0XlPS
oS8Oc+znvQHl+kDk+0dKvh+L9NVv6vcNcbj6zfzC0N3T/9aA9NXtTBdF+up2pUF6+RIuI0A9
+t3HsnJoDeXriw1I5ybh99eLbxDDO/vk/6cCrsr5+5ROf727jV9r5NSvvx3Kj2OM55YPjqu8
lb0h5CPPfx4Z5nDVX40LuHrAwxMD4jZ/UeCrZ6vUBVw9kqIr4GqcZIzhoeWk/+qAfDHWzXbw
qz9R/Of3Cb/f3/5gQDo/Gs6P//zRAHz8nCgPPjXCy6UeEXNZ4Kvxn8OR/PL+4YD08fPwHan2
Qvqffxb5qgdo/AzhwyBngX9A4I+Mcnz13I+HR/P5KeF31Dl2ODuKscUfZe8q8Auj+XGtdYH/
toLfEvzMCz5tAf8tAVdPgXltlOXG5f4rga+edvMPAq6exPI+lWtXH///MZov//FN+fAnB8CP
DYDjTnfM99V92Xy/PgD/O5s4/+oBPD8Q+GocclxxQ3z12KBHNnM9quV9YnN+vtMiHfWEnPMC
ru5lXSZ4Tn8J+7VFk2EU8ykKYg0PptFq2VaxWjlcYTA6DaOu4wBY1y+eXdGXl1bXdJ0lAc11
GPuZGLg8ZDkgGIj6eqPl142WbkV+EOpG9ybNd+OciVU8cqRyNB9JT7rZMFCOgg3GO+ZWt93e
AJLUk570zgWqOoUMo5LlY8lK0HPV8n1PZLnu3WaS43Fa3khR1xdXFp6t6bXL5zA4PMlP3Avs
K4uLq7U1fW3hzHJNF/PJcUGsLIDUw/Rz1y4vPLt0lgbCEiYGXfPz6YDjcZB2BcwjlpthlyTM
4jT6p6PvPwa9mnNqqj1vDhHNTcRMh1JfXNdXhOWcbcEwH82GQrVnU7VpvCaYzg/xrrIhFgty
BZCEbBevRcz2dPB35c29lmFzuDrXz9XS2rN6Un3Wnj2LNWXNoPlc4LgVLuWIeQVgM5mlyCVz
Ta+tHtavXjLVDK7Q4qand0Ncnxs0yRuP2NUlKuIwnz89bXU6vJP2LKfyVVGnpqFShidq4b2n
TvW22bINr9vp00TektfASVodRuKxnV9eBZrailIt2jQnr5oC2CmR9TNw+Z414zCyHtTgTSU9
+axIiKq5qKlXF1dW/VW9pppx/3QmyRtIW7k55xgL+JhpMJcjupp27iKsLWbZvF67Dz9veZZ7
O9LqL+aHI0tsuuJ4KMOi3RIAdYQ5pDzvZTxGjqSX8x+PC4Cm4I8qz2WFXs6TzArA0/egx8/2
P/7kE1/SXxf01wVgXsBlXCEZv0f+cLy5JZX/a4L+NUkvrnjyxFCKXsb7wXP9RlL0cn7mnwSj
J2PB8p8qvy8xHiMolp+Yf3lcxJmZVvgfVq7YH/x5il7O91wV9PMs4X+Y9Zf/RcZlKunlvNAt
QS/jHKnyk+X/mqCX41A5f/SeoJdxlpD+gRz6bzAuExnnSfabfnOMP6szIqr+f0+hl/NRXxH0
2xWBb1eu31To5Tjw1jh/vrYln17+/kShl+OtfxWBqMbuwf9rLFv/5Ljmp4L+zxR8VX/fVejl
fNm3H+HPf3OP/P9SoZfzatdFIKzJkSy+mv9b8B+PzIvR5Phd45ddCr5K//fw/8EUvZwv2KXl
46vP7wn+Jb2ct9Duk/5HjOtO0sv5h/2CnqXqf5pe2sH7Sv5yHmS/GFC+OiB/ef2xQi/Hl2/t
yeYziP+fCFgs/72c/l2Zv6K/eYX+v0T+0wpc0j+jwIeU68hQv0/D338K+usD6OVv5wD639jL
r39evTv9kwPofy4mYBxFYCru5AB66zq/PrM5C1dxjw3ly+/3HX79gwfz6eV1B0vpLvXbtc6v
Z5UM1fwzbXfqd73Hr1eFH8N5QJxjUv3v2ID83/gdfl25R/k///3//Iql/s8RftG/afgdqVbx
Wj56eJqey/wZ78ozM2VWrlSPzFSqh8vTM2y6PFMuV5im1oX/k18Xhwvg5Wl74F3x7CD8ZTD0
y/3tFZvjtVm5F35uPIbtSW/43jPeDTFKu2e0bdrKgwvXJ8fHSyVNzB2c0M5CApEdaobm2T3N
bneiDQrnrsGAUgvsqBt4oeZGRU1DsjWMKA//eoHvNQB2ze9qpuE9E2mWz8PN477fLlBrtPVb
q9umAXrQNhCRsoKERTY4+qRsoiYM1TFZz9d6xgYGm8dPCjTXwXD1AOf4fqA5Lk6bjZcOauPI
vizG/gPjXx7X4EfAZSgiPRRxc7J2Cm5wjzncYBEx15Op91NzuOULXk4LMl5oTOWl8YOl8btn
9OnyGQOY3N1HEK1UAiFwwZMcIo22CaL2QBqGt6HxzXa+p/WatpBgH7uoImX2RGpYKJhkbvoe
MOph4qClSdIB2g1K20BCzesUMS2ub8vGXSHI15mVK5dql0HvmHKohU2/27Ig3XUgqdsan4Sw
NMsNbDNqbWh1sAQJrG+gnsmKuPT4/F8XNN9rumaTFzik4mphxzZxV4mwEWCr1dJw41HI+VpY
XuaJ+B2cTwOxxNw0jU4HBBQ1A7/baBLW+Pi671qqZPbjq33a8iRuoeGCoNwOeh3U8hiqhFt7
PfBvQJJTYH43NdQlKNB19qd1CEo8ADRjiTF4nZPJ89QcjvYBCtlkwCmbGEvsh78VsJShCDhY
S7IpVosNhz4mAVEgGbcKtLSXuFXLolX6zBNgWfZioGDO6/Bb+Sb1oiLqDNTU/SkSlEaqNiBa
2jhxHuSEuMcsUcE22KDvxIUpZnSGBH3qklWxT62TXJk8/wPZrGkuS80bM63bDdejKjGQC6L9
FGygzmI24mmmE9oKr7lk91CBwPBJSfTVhW1R1Qc+fK+/woInnEaZI/+Wb3OH4ZtmNwCOuabj
fAYyzPFw29akdhC3FgpdOpA6biFcjw1uUsPX8aOwBg58ityXQEdIjIwXjnpA4zlKS+FvuMmR
zR2AKmYbN7iBvZSYFE+JrEm4uWmOY7egTREgzFtKN2eu84QA8vI6EswfhZ8TmgCHZGO+Xkc6
YTIEMD7CntQcA/P1sb3quaENwsZdxXm5JlJP+5S+ihjXrHQtypaY8hQI2bqXQ5tTAbknIhxL
CCKutkFS7qwEhYUucRMjywJP6MUVY1Km5YLHdrBecCTcnmqnug6UNIl4Kc9as0mmC5wV7f0Y
MijtlJayeqp+BzLSIWNNG2Ou4kBlnQMnY5yMjLh9SgtUcYSq0v6GT5JnHE6mzDirK6t20gPw
tJDoNCM0wTGSVwosOyBJXka79LG9xY4V4IJ3eL7rmbxzAN0vbqDwBrNEoCPehll/xnn7LPiH
jHdAGc3K1+gkYu9wVz+LWcReNl4OO8Fv+zx6jCCLL0tNpcttdBOgqGW8aGoLnUVKioYrN9rs
bAaDXCDA9mh7oKm+J8ZLsfr4WpLKex7bSEQ1Saw8ZtS9T+o7jzxbkJNxPVK7PYr1Ixqq8FRf
OU7m+hzqxqUWzySD5UlN3FWoO8b7ewc18bmfBhkg1kn1TUW8QR83JpCn5iQnp2KIJrpYgipB
4abJYRKpVFoDA6KxSTwCciNgeJKPbPgQyO5QL+Z/2HsW4Liq63bltbyW/FkLI8B8spYxsh1L
u/ftX2srKpaMDMK4RoaQAs5KWtlLtFohrSw7RI0pJWWjBCgEQkiGaUsnZZJOY0KSQhpiyid8
0gY6ZTK0mQHPlGQczGRMpm08HRf3nnPf5973ztuPbBmno/Xo3d+555537znnnnvfudejSFBb
Zz/XvtxW3oYm/UQhOMEXQFNcqCfHgttah0BtCuNtbLywZzyTz2fHoSGTQCBFt2m5rI9Ocgt4
HUz86w2TBRoDayUTFIs+XXkMmzTmwAMAHGPhoGNhXBjl0MZ113Bjlqs+0N1i/QXIGgT7r3N0
mtkjPE/IggNEknn3ujbRAHsZPh0jf2/v+WR/sI33eAskiSqGJMAXOT4i0w1W3W6wkWqoa0Lo
BqqjBljYeTgoyhVwcCo7MtIglgNZ5Afoc4PXuCLWLVcdScNiG35zxjaZSvAUYCx8xjYKYJkj
URxhn9beHtx647YbCR51sqgydpqD4TV15DS3kXORg1pHTjuNkStXlx45TR05sxNBl/cxleFH
CrzTUYBgYZflIFyus1zQcmOw/OUq2FLE0CiSWUv1FovceXlylafF+jSwQYeFqeCj3lj7PfnZ
93/b9xbzI5Wr1fQrv/8bjbJYTN//TcSijOezaDiRmN//PRu/Tau7r9vSf9OOnmBv/7V9wR27
ruzbtiXY0hYK3RjZEgp193eLgmh7mIVCPdu56bi3WBzrCIWmpqbapyLthfE9of6dIWCbaGii
OJ4bLLYPFYdaOhs2QR4EXCnxIJ/lYg5127K3T+b2bW6BfQhuTrTB8a6WoJ7a3AJOY4gujfcp
TGSLm3f1b21LAsZirjiS7fzjSqf4KZ7eFBKVdUJgF3tzy1VwkBHuTJHavyGXDyXaoy0q5NjI
5J7caJt+TEkC35fLc+jd+5itwsQBvhTbLwFyQuwg2SLsyU5IQKOT+QGu5eAo0cRGznK7Bycm
NvLFyO6p8czYxtHC7uHCyNBgYWQyP7oxu38MfB+LmYGJjVBhd24IYfdl4c6SwtiBzbb2eL3C
OO8xbsXJTWb2ZW4rAOhE8cAINyL5cOijwBuH/NVtbQ0cb/AO2FstZttw978D1khtQFaaz0t8
GIcz+dzIgY5gvjBaQAg+ftBgR3CNEPR0cCAz+Bk40zk61GYUDWRSg0leNM3XFUMHeBNnBNcG
AxHcItMRZNk85Lb381fjJQa8lk0OxBI6+VNZmFI6ggO8gxH4evD9AntXqpGJaRkt41ajjw/C
9nEJvAytyTD842vZzBCsyNsGCsViIc9JHdvvhn7HeHbHeGFQwp8cCIeTA1i4Bf3eFGIHedux
pF6at70JS7Kk6Cs+NTdsCuHYdzZwJhgcz40VBRe0IhfcxhlE5LbqzACfTIxtADBa4ZQ+flYA
7pyQNxgzwdsm82PZoTYOBTxqWDmQq3+O4IbOhlCDie5qXtJfgK7UP4/s4+oZqm6fzIMRpEe5
YTDF7dzCVLuxUY0nDVUIPdY+MTnANdM6tp6bDhvgUwG3rwrDw8HWNa3QdoNYihrQHG12/3XD
61r7WtfDorSNGbs8FmZe9nGJqGm92R6+QuKlQ4XBSejv9j3ZYo9YNF15YNuQ0QLuB3FC/mCE
rwEnsC9wv5ZbmsbLBEGKxeorKzpuihs7e3NDQ5A9OpGDDxnY3bB/C8RtAMtRX5dlhf0/npkK
CoUivoMgnm3d7Qgekt4aaJTfEdLtfMgLIyPbRouFG3LZqXWwxF5vvKtt2Q14WgujMABcZY/u
ybbCTpIYH4FXHysZhveTNda4eNc5EVkNYvrEgYqhMDpSyAxtbpXZIw38CIopxwu4Ht5SGMrq
3Q0lXHGMQlFLH+PqDvyUeRRFtKUzGGRB3hSH6BRwerkuYy2d1ndRAsoQtpbOK0aKaePD6RV7
imkdWm5cIxrXzkzjcMQ3LX+jFTkEERGCiAiJ3lR7LZ34vVeHCSpAoEhbOs0vwQYMfhCWWo0S
rUaDBHkxAjDm8vZ5QdzsPjsTbceJtuMV2z43vl0Tr5MgXidR4XU2lC2mOi1JtJIs34r65ZvA
mSJwpsrjvINAw8JOPCxcHo/0EZ7CSOgPxqhuYYSwM1rY1bbdP/pTrRDSzGhpJlppAz1lfimm
0BNiy0ixZYTcsgpyq3gZUDgJeWQV5HGawkMIAqsgCBtCFCKC11mS7A6Cg5nJwTbPD3mGIDhW
Mzn2DgWUYEXNZEXZl0SuRHClpimVHPznNidwvjTqiY/+cjsEX2oRZzsyB7pMbWG9koqfYEwt
quKXdrYqobYDmMp9Fs4z1LxPCIcWk6l162MhHgagbSwJ8dBM8ZhWQAkJ0BIU42oEi2sV1PkZ
dA6iKCJESaswGcyNixFlTBHyGqkww5yuoxJFBqELIrRZq5BRm7sT1TChTyIa2VOERojQM5Uw
KeGLpMH4pIdVJj+Whu+NRF3ej0ZVm/+VTBGhQyJRUtdGCAGOyALsrj9cPL2oHiLkORKvRkvk
hnUg2zfUCmpvvfqOhI6IJOTm5dkBfD/kyoTaiCTJyqjyZbcwGQ0h65GUO5pZzBxRQmKjYUcT
Noc5GQEha1HmQEB86HdjknI+dwSfRAmZi2o2AqqaUNT3IgQ0qkzZypQSJaQnSpqGUUJ4osrs
J7suzcbaiBKSE1UkB7yayvBdlOD9aIJCYLkuGikVESEH0aSKSMWjqfUJAYimqF6NEXwcC9ek
LYRrpUVNZYVh872UySGkIsZIYyRG8G+MnDNiBEvGKqxuanIGpdok+DpG71QQfB2jlzxuM5rl
f1r1ZKZMYTGC8WNxcgqLESweU1i8or+rjI3g81iSHm6CpWMkS8cJlo5XNqZm5YBLNU+wcJxc
28cJDo7Ta3u3kZd8fmc39HFCNuIRcujjBEvHo9UNve5jLGMj2D4eI4c+TrBnPE72KMGd8Up7
VXPv9ExRSnB+nNwDiBOMHzcZn/Smnh0rJAi5SdCbBgmCxxPMORcr3plyfYLzE6TuThD8mYhU
Mz8NF8bNCaqsO6g5A5seoRXX+a7+ogYu+EYhvwUhOomozdaqZqY1G1G8090qol8qZaQlCOFL
xFyNtAQhgAlSABOEACYSNZoThlt9RTOiuu2OWsz6BCGWiWQ19IPDNdmiK13iYIDcOCHpiRSp
EpOErCbD1IgkCVFNVl7Tz+KkAtU4IefJCrvXp3HegaKA0B/JCNlRhIwmo2VmY3BbNsbS9YiF
oYrJrYMkIYbJGKlxk4QIJuNOjWse3CDXFUlCPJPkBl6SEIRkVYKgrgvmXo6RCShZThLilCQt
xhQhTSllEeRYbtH9myKELUXafilCMlJazf07m2WXY9clRchIipSRFCEjqWg1VIvzOObS27bs
SxGCkIqRFBBykKpqd6sqZgKVQ/FSihCcVIJUzSlCclKkZZciGDRVeUt6Lo5AEdSxsFMqeF7l
dVSNJ6nIpp1yxPPIL2RhpyDxvJrU9mlbzizslCCeRypyFnbKEM+jNDl9YEzB5ZQbnkf3k1Nw
eF7NCqcK89hm+7KwU3Z4nt34LXfWTcHmFC+eV60pfVpKgIWdAsvzXM1mRjgOMFbV5ppkTaoY
CcFg9l3jOZpPGeGLwCxfBNurExLByDmFEd4BjNGGl3O/5gwfYCTpI4Sskk/CaZ6DJMkgBJiR
izBGeCowF08Ft40l+fDlLJUi4ebALDcHVUcQjg6MpZxK0W1DgREeD0wjF0SM8HhgqsfDubml
oL4EIYua/etNNSodJAZ8DqXWxKHWmjcVGOGtwTRa5gnHC6ZVtZeon6NVkBECqtFbiYzwdmAa
LUWEtwPTKm8mup/tJRshhESjfYEIDwbm4sHglGrbgWIh0ipLEU4ILELv/zHCU4BFapahSueY
zcVNNQLkej6YFiDC5YBFHAKER+1APODPjhT34MxCFwKFA21Q8aNV2ZdwaWAReYvzrBBBCKTl
xaDKEOHGwCK01Uk4I7AI7XtHzUTyOXKSZQkRtZwNbCxLSJrqW0CeT1dQEBIYoTfoGOEgwKL0
hES4ArAovUXnXMIo5+armqkFlGO6JvwBmOUPoPYl8ZGfRWlNT3zgZ1F3FztCbtUxINwAWLQq
Jzhp0qvNv2Wu7GnC34Cp/gaOiwoMibchIsQgWtWu++mthwg3BRalP98ywiWB0S4JjPBJYJZP
An0hg+B841IGkdJUBid8C5jlW6AyOOFcwGKqg6vzugedBrWPCOcDFou4YtIkTJoNEyFJtEsB
I3wKWEwWEuMINPCT4+4JyAw6tR/hJcBicQdSTUEqHYJ3Q0swr+JR4GZp1X7lBVBQ+60XZAcT
nB9LVkG03MdzdIMGSS8hfbFUFfTSV3FQTRBuFywedmuCtAjXUWwpHdiHbPVCAhlQXXVVwuM0
D1UNQLhxsLhtpwVvJKjO9tLvO0AZUMwwq74rdaqJJy41UEgllFVcVlaqJiZcPlhcsTerfy39
Koa5eS1C3yn+JjJm29UOcmPuHpPKnQ8kTxN6NE5buoSTCovHq5Cwqq5tIVskFGec/JjHCG8T
Fk+W6Ur5a5esv53qm3BPYXF6XiccTFjCVUNIXVTdPTRkk4QUK44q1JxVccoi3FdYQpuNqtOo
GVhzKDqtvKIrO+VWUnSEhw1TPWzmRtER1FXSCIQbDVPcaFRFR3i5MMXLZS4U3Wxei1AdCadh
RSg6rUpFZ7tyiJQUQpskqjHDarl8iGyY0E2Ky426/YGXHlU3ZrVQ5jKmxGAR+i7hakmd82YO
4UjEkuFz0swhPJlYkrlKP+F7xJLauWfmEB5KLBk5q2YO4frEktEqeFrdPrAuy1KQE1o4Ke/O
h8bG4RKdENzKgJc0iEt+Vre1Bffl8h3BiWwR76XIZ4t7C0Ob85nRycxIsANuAJu/k+vc+yn3
f+2dmzbK3/8VZiwWF/d/MS3OITxhpsXisfn7v87Gb01ueHQoy+3ybduv6enG/yu0d/e27Vv6
dnX3dDes4UVcC7iUNoizrOJjr7g9Br6gWbez6q4xuCs8nTbhcQtNvhbYvHRST4PelNOm0kQs
6kH6dM3X8acrXwafruKm9nTlu9HTtdzona7ijup0NTcup90uJU67XPibrnSnb7qqe3X50KwB
94zhYCjkwjEfNbfP/+w/Vf/Pxe2PFfV/IhGNW/c/RkD/R2J8SpjX/2fh9//+/se987c/zt/+
+JFfz1jTzZPztzXO39Y4f1ujtANhXdZYfrkiIaGuvCJ9dKxLF8utdYh9GOpqG+pDCnVlRhlv
IbFGMjZp9KWVhI66f8DVd8Th9uvwRqEOaxOnG+yOPdTBUXOTSD3XRRzrIo/XEKdrqu4mfUUp
MxF1HMb5Ys6vRZTLvrOeWKEq/p6Eu6eznrWSVTzVCEc1ujcp7/tqr+azvODtK2jlCyHxgbAm
X/QzcGGTbQ+f2MKviaK+WVy4YdsVJTZFayJhVjc/qDQQXzLO1L0C6g1zTsnR6HNkp3OwVm3S
KXRatR6Vp3EorNIliVptt3vM7hBGpRsUtWqvS6N9xitdoKiVm4squveq2J0qRyt3M86Z8out
dD+idWCgFmdEFatTB1V9k6J1PkDfHXP78FPB8pibDy/K/k9hbvYYyu//JFgiGpb+/+c47P/H
w5H5/Z+z8ft8T9/WOq/1v7F7PZ3k/80elPqmS39e4Fnp2dVb+mXvXe8HjkJWb2n6xOEAj+ip
53tnek70lnb4MZzRw1JAJD29L3fhfyOPyZe7oKLnfki8+oKONmygPVqafLe3tOstXnq0d6Yr
0Hv3c5NbRYJnIkYe9czseteMS9h5UuQKUqRk4FifTDCQ1XPCwPKWRTKGPL1Lep0uP1CxRKcC
C0zCrf4oTf6n8fYz12K09LPe0stYXg484A4dVHpFf1tBO0aBslLP8WOrecbxGU+6593JumMX
Q0KHOm6A9N41fdwz+ZYIFj0NaI/5lBGw2uotTR7hRUf0uid4pRNmpQ5phI/oXXTE3kVHzL7T
3+hpr+tr8TGAWqWfG7Bmk8VV2Ns4fj9XMB1b+PRp9tPnKvQTb3jmWkFYuUHUR1BnncCxhM4w
gRlP6SeHPQa//VjA6++ng0g8F7DyREc+XQUekxy/GzkUwaXJ42UJ4I3rI32+SQOUHi8FpEG8
niNNGki5WE6+wWX2FQ7GQ+jynld4eMQmgYJTAjrjBOzy2W2I/MyF+J7Wa5feNt7Z3pFHpfc4
aiG1OvLbs0O6w6ZFODLg6pkmi+Pl95CT+B5HamzyiPQeElL1PWaB1HoPWy0FluiA34NhASHl
eQ29JZ66mktvLw93BvTmuKp7MflHt6gSUJo+WZo8cdf0Se9k653TJ06d4rP9ZVbbPzSbtfIE
vwuCAP4wCMHRb546deqWFyDTE/SY/2eex/wf8Hh+LV5uHun344s8Hh/G/Dg9+zy233mLrHgd
PBYgWFcbPP1YuBAeFy7w3MmDegECUTnu0+P3QENSPODx+RDHIj/iXfjmQxZenGYXZryAYLG/
/npIvs//Gnz1N/wrDxuxkU/eaUZvft9str5/gdeM3/I9fLMlJ3kAf0s3IwE+LxYv8y3k5r94
r/pbnzBesf62Bo7BV4ekLAdsAb/Gn8sBw4qJ4hAHO8pJbFrUdb4XgplveCD4ssi890MM7lu1
GIL7r8LgzwcweOAeDB58HIOvHMbgoV9g8PAHGHz1fzF4ZE0DBF/rxeDRHAZf/woG3/gOBo+9
hMFf/AqDv6xrhOCvLsXgr7dg8DeDGHzrHgz+9gkM/u4FDA69jcGTviUQfPcyDJ5KYvC9nRh8
fwSDH3wBg7/fuhSCp2/G4Jk7MPjhoxj8wzMY/OhdDJ49hcHh1mUQ/OM2DJ7PYfDC/Ri8eAiD
l17H4Ce/xODlhcsheGUtBq/2YPBaFoOffg6Df3oQg39+EoOfvYHB67/B4I2lAWBbv/c7KyBc
7P0XDBu8J3i4EkczjCzr9f/6sE8fbf+xk8bA+9+HwT4fo7+FZ4RnN1/VxB/XNiEv8PQF2ds9
/v+G0ut53q4FeqGAuGCk6PH/j1E4rhZeiIjrUNqgoYeh+FNNxgMo0mHqEQYyDhkwekkDlkDG
mwvkinILyxDm0zzjBMB8mmqhyYS5xOcG02zCdJkw2BZ0gw6zSrwNz/gUlAxjNy1bYBQHsRjS
B2xEXu41eukRo6KofVG2MOzxrzMrrkLwjWZaQIkBW/wjUBpNDbGRJgjiXzsPgsRT5xnlz5Y4
X10MUV9j5AAf+0tw+PFZh08fPv34DOAziM/nBOhBAXtQAB8U0AcF+EEBf1BUOGjU0KscEsFr
IvdPdQQHfQY5e75bCzlSxfveMSq6VZeAv19f7woMYJdCZJgrrMuwtPH8Om+W1/gYpBovrXv9
PCN+WR2MVRDjF9V5t3KgPv63+l0O4WnB7FV13puMrNWohD1rsODUe3yIvZdjvM77eQ7j9S6H
ZtYOZQc9jQtFVp0A8IuUb+3e7H5PY6NI+UVZQKQCIrVSpIJrC4NFT+MFItUlyi4WqYNXCOJF
yuMVyRY9WSeSV+hJn0iu15N+kdyoJwMiGdKTQZGM6Em92bhIHhKplEhdLUA36S/mbcXk1V5g
AL1XtnsfWoS98lkeiKw/FFl6r9wgUj6RukmkPAJTzguc7V2bGRvzNI543xGYXuTB2kwx62ks
iCwdU1GkfGtzo57GKZHwrwXjoPGzIqV377RIBUUjJe872MhAdo+n8Uvebj+0v3w9D9YOTo57
Gu8TWd612dEhT+MDIlXnaVqy879AKJdc/x4G/ThVLrm5cSUE2bUY7P0EBrl+HiBDPsUrr4MI
qOb1EPkdWCAo00vv+Sov3YBsvNkAFslOI/lxTF69HGb5jRCvz3ihYZiZm5EzRe6v6yB3JZ9w
m+EB87xZVr+gg2fBXzM+oJoB1cUDnw+nEgH8O0QEc3xzl4lNFC1dADWnIXdaauguHiwHWAF1
TR1APW4AyETuxKLDZhFgadPL7sCyX5Bl7yFNH5httmPuccwVEPu9X+TBpdx8aAb92gypZkhy
+sCyEVB5hAI7RHSEDVQA5bxAyK0AdKtAMMSD5RaWRxDLvSYWjMkNbjRBTyCJYOM4OvNDLHrJ
KNJzb8Ze+JWJG9HKXXE3AoCB1Dxt76bzFwBKsJqaISK3NoTVNjfKvdsMSU5utwn1JEINElCi
/HYsBwvMRp0M9CwCPaFQKJePYPkLjUTRM1j0NlU0jp3+IRThA7tT728QrRBCfR3IAvNP0AdI
9JLHATNYhBZReslzULKTKnkQkIxQ2E4CMV9Q6wg6b1wARd9e4uwiyOPEPsmD5T/gj3Ax70ku
uxssUWHC/5ll7S+7B+JiwbGsBHGx4Fj2RYgvEfEZtOdF/EsQXyniX4b4hSJ+L8QvEfH7IB4U
8QfAmlgn4g8Cv4Z1+j+G/Qx2sfy+j8G7gJVs9QS+mV78TcD86FJlxKXih6HSM0Rt0eRj2OTb
S42hxZgsT9OmbvEg6KmlRMc/713FXwn+RNFqHuOLMFwLBvwdJopXvVfykittcD6fRc8qL0CD
iS/Ri2Ci/E0vdF5JwSC0nM8vKdJ/84JFd4gAE73yIrzK68vceiWLaggWEyjMem4P5sLawt7V
onwb0g6LDhrrdizvcS3fieVZs7zLVn4TSujnjPYNzfMnmP2glc0w+wg8IeNJk2DUdWg314ul
AeS+obyPXvk9o/Q3VOUVZmVYKUmVRfEms5gF5NriXWBq9Cz6LaytmhadEEssr77EqrOWWIHL
m1ZshGVC04q2d3z6HoG3KfEtjjIC8aaOVq8RTVvRT/z7eUa0C3Jx/seRNzC8b2F4x4RNW1ES
A7CTiaF9hYlBs2jQytNwUsYwZmHIrTQxWFESQxusWKI6Br32qFV7tHxtkBmDk37qfY0TAH+y
HAYkOfwP7we89AMFgpCz97wXcqLgzwn2f5SdC3hU1bWA98wkYSCQBIZHeKgBUUFKQkKA8EqC
MEAEFZP4AMHDZF4ZmJfzSAJqkQ9rfRapVbEq17Z6v89qW2x7faLlerW19VbrvfZqvbT61eLj
Xnu9PuqtX1u4a+299pl9VuYgzfcls8+/11l77bXXXmfvM3Mm8r5HhcevXmS6q/BW2iFQuwh3
xAtq2/4X12QL/bj5W+jHrXKFR94nqpMHdVSxScfA1sAC3J9JfYHFmLSovATLKlUHOrGs0nNg
NZZVSg6swbJKw4G1WFZpONCF5XmqfC6W21R5HZY7VXk9lteq8nk4mhtU+XwsX6jKG7Dcrcrd
WO5R5V4s96ryxVi+SJW3YPliVb4cy5eocgjLl6pyGMsbVTmK5U2qHMfyZaqcxvJmVc5geYtK
dIGr0GjcyKqFp9z/LpI1u54JoHdxyysXxONnoYQsTmjAYi3u1GpvlyOBS2BZNbEVgSo+iTO1
zl8Ff2ufC1BqnfgDPBcX5GodhOt1qvktgg675k+lmjewjMt2ZaCCD+GpCRvWYvjXYhTLMKib
VLF/PA39pMrS1XtSFWI/2JUfr+8sThr5si06CqupXC1FVXk0luvEAo9vES5WkHnQQHFApiP1
cwm9eu6ZOkGIxRp30uuS9cIzAeV9+/pB61IpOl0YP0/YCq4FBctAfjoWvPsuXTYQSsKRXGDu
612WzsIBmuTdt9Zu5x90O+lsi/DMVdX96JUJOEWwZdXmIrPNJrvNF6nNRS/KNvtVm4tUmxGl
RiloNxU02gpGT1QK2rFgK2h3KJCbKU8Q/+43XJe0lewiJcFdE42eB6nndmcvpldpimcNddZx
tJW6rkarF//2jCs1ud1u8m1qsvdtahLd26uUbLBb7HW492Kne1UbMd7GhXYbayapNmJYsLsV
491aWmpEePqdbSjfF03fZ2z9j5L+4qOm/iLXv9HhtkGH2wadblPN7Tab22s39z41t/v9ScpE
eUqHrLzePGWGfcq0enXK9ViwT1HxcAt3XK99WohOuyVUbwTVLbF6ZatUUru9Xl4j7Kl5B/41
p+b3vVrfW1JfM8i8JVV0LlsPw3nH0Xqcl4/vsj11g9f01P7/ksKXqqO71NEG8pT8UycnWKfZ
93PsTsyaLMQKWXxCjUjScdRvi8qfKfZ5K/EF/bnqCFwoR/q0RLBQpwrXwM/Q6l10dPz48V1r
XqODzjW+saq0K7hkrBb/8toglY/vCg6NLWmRP7u69oy1VeHPLuEZ6zmjJlDtq5laM9YzbkQd
jndA+GqWQZd8E6GwpHppdRfkwoqZorq6HQQhrwY8vprqaqzBLFk1xhZrg+vNiFoQxDu/ilbi
ySMDHiWfrsEzRk3ylE6vHmO0Mtrj6QogHTNddAWaQE8NtQsOqj1ToEwdNoCFsYs9Pr9WM84v
sFgPxYAsVmJx/GJSDte1Rk/HZHWQhu7hORMrpcJJssavaroCqq7eFq8swcmNgiQJwmhyOSGm
Vjj8M20W2DANdk6neD0+avlUrxapbJFCp42x3dUxGZU0lPS2VC+bHJFemY4Gt0LtDF4rxOml
0WqB7s40FaLMNIBnAPRzeOYwSbhwnlUaPtQ2qwkO0VezVeFUsOHsVqHdqY2e02rbgIdfKlmp
PTgXdwmN0o02h6tUaWy04DwIMn/Jic3m6GmZFgiAGi0xvxRHypjWUpjCUnOJHR4L6yh+Ftlm
kL1tzkZwQnTW33GObGtxtQePIXe3Kh/COV7ozFLzHMcZyyodgsvLKb9TibaX/IaiHcN1kmBn
I/SpdbKjnRWVjpPPaRQOESFWtsox65jcKv2yqlWskZJBLKRlaK6mIixc1lAR17tUhHjooiKu
63H1r9Kn38xrjjd7zZ8rfSjf6cVbu3+pGQN/5Ue74NfTVMznmhLpcLIYiTaF58xpam1c3Ngi
TKwOkom+png43DTUttBa2Dq3mN6ezgym5yYT6eLQ3Hi6qE50njNMb1NfopB3q3PVfKKTItG+
YtytMjpUcFZJTcL4aGM4m0UHJTL5Qi4aSqFLlvUVE8nC3ERaXovyhUgi09iP7oZiJBqDMnhz
EJ9BVDgsy3gmvlqFXAgagSrYMYEl4Uw6lojDIQxhGB8MSkZRFBq0+kL5KMkNhvFRLaqIDUaw
hP/gWbUg+whFiI1sLqqeR4lYmSy1ko4OWqGkfOgogzZBEKSLqWguES4ZA0w1rjRia4ghfOCk
FEgOZnIRZaWyRckN/xKIkV4dVL6Axz/eOzNw9Knpaf/Az7/31NGjR5tf2/fJIeGF/eYLVU/N
9y/378E/xfn+Dv/3AHt/Juv8y6qGZKFQVVzX6l93iA4GPqVTDx3a2ArnrS/6mwahxE8e9K+b
7w/AkU/99Z4+VleBRacHmv2Bo83+9f7lpK74ycZm/7491x59zzhnXumcCd55gc/8zUfdaz/1
zg64137i//nD/kaJYhXeKt++XbfCBehD4X+h8VY/TDarx8L3U/CxQ6sgX+RoF1JWf6aYE5Y1
gB9Th1fnsFn43wvj0dwyeG0X+GiJsDadv9iyYE5Y4aGhlla3M7oSwQWWlQoNBQV+mjqUzPaH
RD6ciKYL+H/EhayDgc6H89k0BQYE6oCI5UJhK5KI4zRJ4AOjxVzOyu9I9WWSIp7JRGD+yNP6
weoeq6QbD0KyNgZm4mvaCuct+Q8XI9G8SPXlCplBaHhT8wL2OEh3K36+OrGhFZ8BQOVDsVxK
Nm4agw1E47LtTDIp8tsT2UGgFsw9dEpPobnZmH1d4WBrKjMQDW4Ib1gXToliNhvNhWG6CfMj
+crqPEynaDJSXktzcyGDTrVwwILd68IilUlbkWg4kQolLfn/JcF96Th+J4L7+KHOdjEwmMWP
4seE1QWT/4JsNJ3CHmvtspB1eA2J04/oRFCezgvj+QaBj/WCi/P4lT4QYPjwEhiTyOD/ksZO
5nek4XQL/12FJfOZsNSJGJiZGA4XxOKOSGgHBGc8jV9DihnN6rrAWt21HmIolIdOUYqUvflS
A+hZssRwlupkQzulDzAjFo8WYMjp64TotUVIiurxm5tE6UkcJS9HOocPvlI2Rc8U06ZZaSsf
zVp9Oyz5DLAYTEVTFI86Qk92luTtWYKRkEjL8EplRTpTQL+IvB4x4Nm+3PaTVpwsKbYSeUtZ
j43gG7TKtz0WvtFLeT+jgwEaSqMFauTxPHwqLC3MMnYYgxsn07yS/2geIW02gsPGVgo62Cdn
4WA+HErHZCgXIAPlQ+lIHp0KjlZjFstamVgsHy2IbCEXScRi1sk7VaWeRDooKFThXJj+ySj0
IhoPFRIDUdkZIec7+AE/IdDUn0lFm+Rn7b/oIX4wpE0/dKI6J2J6nPBL5tCHhUwRkgTolv//
NQ0b2nAmlQ3lZM5NYZyX5j1+HaUceJhD1koYm15AQzBcA6XhB4+jM/LR6PZIIiddbDy/pV0c
G0xAj5LRmJxO+WgYXxL5SL6gxhUayBYp+GXUwkBjHBSiLikM57VOYWUlWpIFTEo9LRYqUmZT
6JhTxIIEkkAfQpbAwJEZy55UMnVBkujPDKJXlNuEdjFfLKkQUKsua1NPoVVNY/WcDpBF9Pzg
gJBDgxcQ9KSKuKzTrugVdm4V1pr1F5yzYr1l5Yt9VpdlKsKMEI3B2KYLLlm6BbK0nS7AIwk8
p5ArpsNiwA4OmIrQp0QoiZfhrFBJhjoOEwtniJ1C5fDAeJV5cE2GUCaNXaVeq/Hvlo3iR2Fk
fl+dKsSSoXheRDLFvqTbCGPwBXF8u3uaLWE/qPd3ZjCabJm+Unf0oKrrZNyezxhvkW3FfEEF
v37u9KQbTAXbLLomB0UsmQkVhD3HVDjgFEQXQQxBY3I2OEPt78qh2LVhVxkBFidKiQQDFjyu
k6hca8GEw6VN1sibLhd4IwgxcmgulVYM1orSAlnYkwSmUQ66DwvvXBx+oyFtRYzGXVqBk0jo
rYVz1WBZFNDaFXKlVt7IhaE8dgNSQSos8JlrNYMpsmROcV986OVJu7ADHVIFjhyte+CqFC6o
pVSfTG3Gk3AqtHvmWQIuj6EcZMhNi+0HCin7wpSFWQMN29NLfvmBhV9DAmsW+UA2Hs8r37lF
lJpxGoDzU6pvw1NULhq38iEYc+ltmeSTEVo0ObOdGghK1nIc4OITL/TTSUkZHIWcmqfwW6AM
fFJhGS5d2jc1t5jLSeMCvLhM3lDVpWUuLIgh3whzNsK0GcSLE8Yf+LKvGHNJ+9ErdNo3BlIn
WT0/VXcj6iWmXraTD4RKjpZa3xnXMlFKH5AuaL+K1uISizIyXOhUS4Ny4th7WUFbAL1Eda4t
aKEJunApkCC3G8trYcSdMBM69kheb8A/8RT0JSboX2Du0HuTNedf1LByzpwGue1vaJnX3Nrc
0tIq/79XDoYCjJvdMDdVKKajy+P47T6JMByGoFPLh9oWzl3Y2jA33jA3i53PFXSWKjMPVRxh
pGI/YrhDxxlh520dAriywm+OwW9HwdHEz9adcGZ3h3FvwXZGclUCCba52bw02dNPx76d4MA9
OzPpKGw0KBDURCBXU1qUYSeScrd3wiCbDwMWHFArl9AJNje2z9pxnPIZqx+GPBk1pjH6M6ay
lHzJiy/LxAh9krtClZFo3+jcAZ04q5n5oV1uYaKwtFIGOa85vfJsUJfJ5nFJQA7CBNBDizqd
uOU6oTC/BVytFsNgptxIJfK0WldjJuwB1gsM/BINlxxHOwq9NDG24vjVTOpuEjSI6vFrTPCO
gIVLLqsQijuP9PJWiDUrVy5pmAWRP/tEYU83a/RbNZ6d3cIzVOeZOnqE/1aP+jjxNKqTb6+u
qKm7zrtyTJW3GyRU3TKqf8JR/2O7fjPVN5n122S1rL+K6hvN+kSp/h6qTzr0x239h6h+u6M+
ZtcfofoLHfXr7fq/Un3GUb/Nrp9GD7buddTfWOo/1c8w67eU7N9M9b2O8y+QAg3Yf6qX75Hp
+uAen+9+r93GfSRzjqnjatUG6jhM9VPM+otUvXIuZMJCqA9eCzn12q9LEAqhRvwSKNEoQ7Sx
L58HmlEHshYDHC6sObj4KCATLkyEWEZQOdTXh6FqVody+BVAeQfDbx7Sp+BFtjGsnmQXjTAH
oo0QrnMhHYW300nRfrzNA2n0C37kZ1rER8fL1fnKPpmM3OfChz0lJepkGyXucchXDpPHj9N7
QeqxKnWs31+8gPjnxKcY5/hElYs9fhde/gF9n3pcqgwf48JrXfhYFz7OhdcNY9vgd5zhLf0R
jQEhykgLcbUL30N69Pn6kxr3E6+jJvSnKZ4k3kFcf0jiFeIp4vpzD0eJ/4a4/nDCSE95e7A9
lF9Ft7v1Bw3OIn47cf0BgQ7iFRRy+p38bhf9m114zIUfIP23kX79tv9B4v9EXL+v/y/ER1JI
6/fnj7jof8eFT/eW5y0u/Fzk3uH8Ehf5jAsfdtsB9pbr20o3NTe1Np/0viOROOHdBaOc0jcZ
0oOpL75X7X7/rczNoXLLxJPZKVibIskNA6539Vz3IMO3afbuHJcomWQ+mJAsme8avmAJdgOb
77jv2xXutYI9Cyxc/A6/BVfubojbVrJ020iW8Mv0u8InZ0Ov1TsPrFho2Z3YsLq7J9NjBdXC
q03vRVrRvpXNsIB1LErLCK1SQuGhEN6JG0qox2tHUhhiKOPn0P5Kn9eYZPDxBt/qIv+Ci/xk
T3n5xQafYPC1LvJxF/kBF/nfu7XrLfEpBj/PW14+avB6g+8x+GSDH3DRc8zgpv1jfOXl5xPH
K+OpRrpoM+RPM+SXG/Lm1TdoyDcY8le66L/GRf9XXPTf4qL/Hpd+PePCAxXlearC2a5OuTmD
zzTsGTT0mPbsNrjZr+sMPWcYer5myJ9pyD/L7BlN8j9zsedfXez5Dxd7/tPFnrdd7FlQWd4/
Swxu2tNRWd6eLoOb9pxv6DHtudiQN+25kdmj/bPXxZ5vuNhzwMWe77jY85CLPYdd5J83uBn/
v3DR8zLrVz3Jv+Zi/xGXdv/gor+iyqlfj+NIg5t+q6kq3269wU2/nWLoMe05w5A37dnI7NHj
eLmLPWEXe1Iu9uRc7NnpYs9hg5v54Q1Dj7nbedOQP8uQ/4MhP8uQf99Fz/8YfLbBPzH0n23o
P+Zipz7PQ3V636RzKeo3dzujDY5PTfTRlmcs40+TggmMz6A4m8za1T+zDXlzN9VocNTzGJ00
n/G7yMBOxmvoOMj4bFr8Xsj4btoSbmH8ERqEBOP/TguWIuNBct61jOsFzk2M6w+Q7Wf8VvLn
vYy/Tv19mPEO6vDTjG+k9ccLjN9PW91XGR9P/C3GT6Pj44zXkH+qPU7+j9SxiYzrdczpjKdp
y/yR18k7KSj+zHgH+bPC5+QL6biW8VPo/CmMv0ztNjBeSf5sZ3wp+f8yxlfReOUZ30Pxv5Nx
P8XJnYzvJn6A8R+RHx5h/F7S/zjjFRTPv2b8JrLzCOMWjcfnjG/Vk7XCyWeQnlMY1/6cyfgc
iqsVjM+nfq1lfB3Fz1bGp5J8nPEHyP6djNeTnt2MX0fxcx/j99G4P8j4QfLLQcY/oP4eZlzP
67cYf4qO/5vxD+mE/2P816Tnb4y/R/K+SieP0LiMZHwqHdcyPkjHExj/M8XPVMbvpXGcwfhc
8s9sxmso385j/Ntk5yLGt1G77YzfTf0NcvtJfj3j82ie9jJ+kMZ9M+M3kZ4w4/sprrYxvpf8
cAXjR0n/TsZraR5dx7jeb9zMx4v883XuN/Lzfsa/T/IHGB9B+u9nPE/+/C7jFtn/I8bvpLz0
E8ajZM/zjP9eHYoXGb+L/PAK49NpHr3Gx5fm41t8XEj+A8ZX0nh9zPgxfR1hXP8cYzxN/R1R
5eRvUlzVMf45+e1UxjvIz2czfjX5YaGLnvMYH0v9jTH+APEc4/o9oNsYP0j9/AHjv6P4f5rx
P5L8bxi/nfr1LuPXUbufMf4L6lflCCd/mPw5nvGv0vw6nfFuGt8WxvfTYK5gfDfJb2B8GrV7
OeO3UX+TjF9G8lcyHqC4up7x90j+bsYrSf5Bxj9Qh+Ixxn9K/HnGp9O8/oTx58hv0/ysX2TP
2Yy/QP3dz/hhis9vMf4gyX+X8d0Uhz9m/BiN+08YT5Ce5xl/l45fYnwi5ZlXGX+d4uy3jBfI
/vcZv5H8dpzxz0h+6kgnP5PaXcn4dLqurWXcR34IMz6K+A2Mv0t+uJ/xrcQPM/4rGscjjD9O
+j9mXN/XO8a4h/TPHOXkXpovXYw/Q/q3MT6J+O2MX07HBxkfReP1U8b1+vVdxmPUX1+1k+v1
2amMX0XzYRXje8nOCOOPkh9uYFwv4B5kvIri5DnGM5R/3mT8RuKVo528jfhpjD9IfljM+Lk0
Lj2Mf5vsTzF+pzoUX2X8Vco/zzKur5cvMf4RzZM3GNf35d9h/CbS8zHjL5E/jzEeo3EZNcbJ
Z5HcRMa/Q/6fwfjn1G4j42vpeAnjcfL/GsZH0/EWxg+R/FWMn01xeDfjXorzJxkfR/06ynhe
vwFS4+SDJH8K438jf85i/MskH2T8dRrHcxn/CslvY/xm4jcz/juKw32Mn0f58BHG55D8rxiP
kD3vMB7Q96NqnfyH1N8zGT+f/L+acX2/Ncb4m3R8NeO3kp5vMP6SOhTfdOE/ZPyfaf4+4cJf
4XaSn19z4R9yOym/fObC9X5L8y3U7gQX3sL4NMq/vYzfQO0lGD+L/FBk/Fry5zWM7yP5mxj/
C9lzB+Np8sO3GP865YGHGF9Cdj7mYs+zLvb80sWe113sedvFnj8y/q6+r+JiT8XY8vbUMq7t
mcK4tucMxrU9TYw/R/NtKePantUu9lzoYs9mF3viLvZcwXiE4m2Hiz3Xutiz18Web7rY84CL
PQcZ76F59EvGu8nOf2P8epL/lPE/kZ8/5/ZQXpo6zskbSc8Mxjv1fRXG/5+9Z4GOqrp27jCE
yQSYEJLJgJ9eBiGBZpLML1+SpkBsQECEBFBBmGQGGJxPTCYJUSkBpZVGxIp/rQ8/qxXpspT6
oYqIolb8la7n06fvWbTv8VS0tbpehVbUd/be58zcOfdOlBbtems5LO7eZ+999tln333OPefm
3HN2cvsrJfoO/lwJSPQXeL+6SKJP5vWKSfTruP39Ej2Hy2+S6Me4n38s0V/h7fEnEv0hSpp2
SPQF3P4HZft5O3pCot/E4+RFif4h1/OaRD+PP2ePSHQrvy8fSnQfL/dTiX4ftz93bCa9jNe3
SKLn8ufXBIn+v1yPW6LPE+NAiX4pt79Zok/nfjhPok/mcbJMol/I4y0i0Wu4fI9EF38/2yDR
F/M42SLRvdyeWyX6QzxOHpDoYq+fpyX6/dyfhyT6Y9wP70n0P3L7P5bo4r3qyMJM+jNc/2SJ
PpvraZLoH3D72yT6eK4/KdEdPK4GJPrbvNyrJfpc3r7+RaKL9yk7JXqC2/mwRBd/9zog0W/l
465XJfqzvF5vSPSjvNwjnC7//e6ERBd/Fzy9KFOPGKe6JLqNt6/JRZl6xLrEkEQX6/+ulfSc
JsYPEn2xiENJj1jf+DtJfrsYj0n0Q/w+/oekR6yHLHBI9eV+dkr0N3i/pDoy9Yj1k+dJdPH+
ql3SczofT3RK9E/4/dok0R/h/c+gRP8T7we2SeWKdZsHJPqfOP1dSU8rD4oPJLpYN3NM0iPW
eZYWZ9KXcPrc4kw9g2L+K9Ff4fYvlvSI9aJXSfQdnH6LpEf482cSXfhzr0Sfy+P5SYn+PG+/
z0jlir9TfiDJP8D1/0Wii/Uuf5X0pNajOjPl/8D1lEr0f+P3vdKZqUesX+2S5Et4fK6V6Dt5
vQYkPWK9626JPpHTD0h6PhXv/yX6cG7PhxL997zcv0j6xTrwkeMy5X/A6zteog9w+SkS/Swu
7x6XqV+si2iS5N/h9/1cjbx2ncZSSf5pzlwj0Wdz+T6JfjfvNzZI9Ht4nA9KdC+Xv0mid3J/
3iXRR/Hn5oMS/SCX164DsWnqJdYMy/2/WK8o01UOzRK9SaKLfn6FRBf984BEF/3tdoku+s/9
El30Y29KdNH/iKX0gi76DVWii/bbJNFFe1wh0UX7GpDoor3cI9FFPD8l0UUc/qM/1URVldU1
cSjvZCR/4QEHI1g08qnfDAKref4inld8YSHWp03mdPkLkYVZdlCSyy/jOrPll+XltMekj1H4
LRF/V5bo8hcisDfRaIPyt48wlpfTsA2fkf9W845A+An8l2PS++9ck75O8LuXl//kuEy6LDs7
S/kDvHyrK12+1aD8C7OUv2YCQb/0iY8sG8+S/w6+6E4+Y1KWhfVXRvZfFc3MD/ZDVynbvzFL
+S/x8tdLN1aWXZel/D3RzHKg/FEG5V/Ddcr1nMsXwLVJH2UoErwlS/67+P6OpRJdzn+Xybj+
z9UaEA1kHzYZt59DPP+bUgY5/nebjP13iPtvPs8P/isw6f0H8wqjr8t28Q1Gn/gC+41sh99a
/rGllcevI0v5uVnKH2gieLmk3MjXQ/3KK2LBSFxsj/bV/IY+/7XSUxWopvNfK6sDnsqAqdLj
qfZ4vjn/9ev4TeQ75qnTxNZ4jbY0raM7GYpG2jUkl3anOJetpzsSX6XGg7Ew7skAu0XV22yR
eFKFsCqdYrvMprIfHrw8x6M2aE+dTzO8mQzkgI7eYJSnKirUsyPRKKOqK+FrKxUMQA586aRO
m6a6mmF7ErAmLVC3NL407qKS+lZHomG1NFNc5Z+Zq6UzWue4Z6rJhBqOh6bUqa4ytYOV1Uhn
dKtUC/hpT5T3lPHzp4GxLm02fNQe6Q2HlqftT5+e7eHywhD4KirDwtRR2Ey9VtMUVWuHyK6V
wHqpLmGPvhQiQXOPhoNdKVdrnNsN28OFDLwLnkx5WCP11XrYa+DhtCu9Q7sy7Umv5MlT40iK
XR+L3YwjxeEgca9wrd40zTHtPkP7KWNXONnTFVebl8xqXb6wbcaM5oUL623rbF/coE/yl+7/
y+FA8VOuH35D9/8en99Txc//rg74vQE8/5s9Er7p/7+G37QJM8+d0Xr+/Ga1pXXuHHV+2/Q5
s2aoLndFxWLfjIqKma0zieEvr/RUVDTPY81idTLZWVdR0dfXV97nK090rapoXYCn0fsr2BMk
0pEsDyVDrkbbNH5CPWxTyEAsnAyqkNcdvqQn0tvgYn0IazNJN2yG4VJ5qsEFGxigunrcBrA7
nGxoaz3bXQMak5FkNNz4/S/aOi4zpqdVUDZuAjysGlzfg91hYB9VTcmLIrGK6nK/K1OyM9qz
KhJ397LbH0nENeK9kRiTXt7rkTJ098eTwbUaQWaILBJOJllH2q0RivfE2sNduK1CdxkLtuUd
3d1lnV3h5X1dwc6yeGL5ykQ01JGI9sTiZeG1nfDxczLY3l0GGZZHQijbG4atPBOd/Q1SeSxf
oov5KhzTejoe7A2uSYBod7Kfdd1wI7j/WeFAn+B225he9TLoUZNhNz7k61RGcoNZ9epKpsu9
MhiLRPvr1FginkAJduegwDp1IjXxerU92HEx7KMSD7kFqz1Y21HDWOts7YlQPyvilOiaKhTB
7qt1qiccA2p5K6sa4wh5b7imPVDNze8Lww5xdWo7czAKL4RtdGAvC02OYMAb9Aaz5ZjDbsK8
Lo34ELbWVMK/erUzGAqxGHC3J5LJRIyZ2rk2m/r5XeH5XYkOjf6a9srKmnZksocP68IyjO1g
ZQdqqC6d4Y4Ie6Klmf5Kf6WnkmeNSdX01HhqyJFuN7v/FRgYjTYWIR1dkc4khUgJhsgaFj1E
LeGRYquYqq7siePX+PCgh43a1GC8X4XQ7ca4Y+0SBhBBdU1PrDMccjMpCGBx/jFQgc/IkaQ6
tcKWUjebcVoT4Gc+qOxlvTZkndcTg6coR9nDuC8SDyX6ynGbZJazfHWwe3WmBMfKu3vaWYdV
ykZkKrMc+q5ONbFypVoysQTKZnkiK9VSIc3Uhteeu7K0ZE7JFLWhQXV7xDAirZnxvq0xah0v
tjkaBm4o0dED/i5fFU4CiaHT+2eFRAk4GmCGfDfaF+zvRl+AI+LhPlVURoUmDlYlV4fJcX3B
bnV1JBQCcrw7wkboQXR3mZroAuOmwpnSHYkuNrxJhkOYryvYp1JvA+qDpGfWzHIUr9DUGmzU
1hHS5eyWJ6LRWfFkYlEk3Fea7OoJTxF15YMWoMFgBfSUJOJwA1hPHl8VLoEhJt0f0svvlVaG
+Sl9r0GLiEQMNcD48wR7jUQ8mgiGGkq04VEP8Qi9VoQxWCc9IxEKc3cDh/UqcWC55nhYXxgN
dnczFNuvq1H1qKwkJtBIYpzN25+rMT0zMpASDdHVODmarBfTqcmrkvVcWlu2V1+295SVzadt
WYr26Yv2nZqiL+lJJOu1E0SiGNjg19vgN9Se6otdjTjX5DJqhhD07q7G1CxUyOBkVFNoQF9o
QDUwrkovV2VoHJXLxvOiRD7p1eiq1uuqFrou0wrW6AVrhGDWKbQmf60+f60+vzdrfk+lToGn
0sg7Hn2z8Xi0JQ3tIpwTa9XpW4LHa1iuPm49vqzl8kebq9HwzYGRen1Ievxa9ThLg9YF/+XC
MpuA0asIw+Cmh7OrEWbRX6ZtcZlMB+rD2hPI6hdNe8JJspArPdnqZZ3YZ1hKk3zoiOC/mOpr
rdc3Nk+V1vqsL120SvStzFOtVbIuQ1rf1Dw1hhGnb1Oe2i8f6ZmvgbR9v76peQ2bmlff1LwZ
TS3ztZI2p75Veb3Zo5nePGjz6xubN3tjyxpUQ7/L0panb31evxwGmTZnvLD5coGrZm9FXn0r
8gayhpBXH7XeqpNxrz5gvdWGEaCPVW/GYyHjbZ42oz52vbVGJfj0weirPKluVfM20Ei/PoZ9
nr+zX/0H+1Cj95dfWbfs07dAn/f/Tbfs07d/n2+obtlr0C379I3a58/apnz6FugzHJ759I3P
V2XcK3olg/TNzld9Es3Wp2+NvpqTvadDv5bWlqZvwr7ar7NP9Ou7Bn9l1vvn1zd0/xANXedc
v77B+A0Hgn59bPozYvMLXsxrVekj1O83LFMfnP7AyVROH7P+jJiV/iygzaoPWv/JBK1fH7R+
w+GOXx9vfsNHRkAfF4HsjwxNM6D3A4ZTOE0vrfmTh1FUBvRxFkjFGYvICjb1h9cE8H4AXxfQ
W+gJbrfaG4nVsc4/iW9IYuHk6kSoIRaM97DGUqfCa4Z/9tv4r//H//6T+GLJv/839N9/qgLs
wv/+4/P6vX74+78v4P/m7z9fx29985yzzUp61YhiajRcQ9IU0uD8WmwqNLW1bD7ScsX7K94B
UsuW5jdbNv9G4PsFvg8uj8MFk++NGWzbC7KbX8kiwZh7WzY/oyEM5rdccdTZMljQohxKFbFp
v/2G/Vfu79mlLVgu7PTB5j1aVchPW9m2hzKnTGH6XpR0DJ0U1dl/KquT1Xdfpjr7h64Ok9jO
JPe3bJnLKv5SdqO3Z2HtgcvBA/ze5yNt87oTm3uOX7HuhNJTsmHdcdjxrefMdJZHDNSQBioA
5B+HwHvnp59//vmyA0avUGysfx56kGtSTTab0TDfJnftb40X66etGO66ncKXaBZWIYqrsCxN
brhacfUjnXo+zLTBxNe3EqrFLRyHo4etGjzfZLGgjhFW1Dv85RvSenEN2PAgHhmda81ZCEnY
p8NmyVn0rya+T17Okg0pdOn7qWJzWtNntOcsewBrNhI2xof/oxrQAIuC7NGW4XBmApafc9G9
ooo5a+DbGIsZTbGDtnyrl13toGFMdzLExN7KNZkKRjQVKQAGYV//ghFbiHjNMQRbx9oAXNuE
4McXIrhuA4JttyO4fg+CG15GcONRBDd9jOBmOBS1YMQt30VwazuC27YguP1eBHfsQ7D9MII7
P0Fwl2MkgHumIfjZUgT3bUDw8zsR3L8Xwa5XEfzyUwS7i0cB+JUHwQPnIHgwjOCh9Qgehq3u
CkbsaUPw6ySCR7YheHQ3gr1vIHjsOILHVTuAJ6YjeLIdwYHNCJ7ageDpZxE883sEv/kMwbNn
5gM42IjguYsQPN+D4IWrEbx4H4KXDiL47dsIDuWMgfXUVuVYAcBcZRyc0DzCpjSN5edC5NNu
WIr13cct/G5b3zshbrz1fbjZ+J2R9SO4wh68jq1wevMNYzEWWLo4fInJ+jFwb2O0tmGcSRLF
0aTJ+jfB7Mpk4opGK+3zAQXdCOy7xooLWMRlclAGCLuEDOfQV1tAeHmYNqO2hNEocy8jHAeZ
e41KKEjJnG7JJuNIyTSlZLAscAOXGU+1YYQLgHM/umn0MMGmxfyQ7peMPEsRXrpZZKTc4+A8
QmtpKiOeK2AtS6VJim5Y7l7oNApsAfioscBW9VYhgOpPCgX/sY12WkFvsuT5+ofzE0AUvJrx
asGrFa/5eFXxup9EB0h2gIQHSHqAxAdIfoAyDIgcPMsuAs8R9UquYMAizFm1+2TM0WTcelhk
zJZdI/xgTk5WYRA7A5CVVr4FrpJXZFbCOXzTybwzzMVFAj/TDPdKRXycWTmbCc1h/yfUQnPB
Jex5483K+YI0ATth00RkfH6U3WIFN4vNMyvrc+BwZjsUMwkOkcsbTiQzCVgpZZkEpyXm5VHK
Srx8SuVTqpBS6iQ41SuvmFJNxDuNUgOTyXhKmRRKunjSTMnJPGmh5BSetFKyjCfzKVnBkyol
fTzJi62i5C5K1VJqNolO4xVTcOeGvNkKBAD3yjwFtvViXrl0BN9VN+88InGvLKKUhVLnU4r2
gMiLKBDZyiQ4ZjMvqhwmTU8xMAkOmMpLEIlrSlLKMikSN+X1UcI6CXbLz7uUUty96yilUiGb
lcNYCJxNm3e1MtMK5dunMDAJznzK20okZRIcvpR3HaXMpoKRC2YXweYrC7+DoBUflSOXrsBU
+FIEq69HENnBAAbkr6x8XT10zbhO/xiMQJD3W2NewajeP4KWUX1nOABc9n0EG25DsHEXgiue
RnDl6wh+YCkGsPlbCAYDCK6Zj2DrxQiuHURw3U4EN7+A4NZ/R3DbUQS3W5wAfjIRwR3TEWxf
guDOtQg+nIvlffyfBQCObUPiX+9H8DdlHIBPDmDqxB8QfHraON6Djd4EvpjawW6WGRfM35kr
OFfdxDjfxuYMoxrTo7n0sY7JPNsOwxsYp5lyggp4HIYkDmySRH3XDNRRNtjmBwaGbICT4uUM
8zES/HfgBbIJqVoGLBZ8hpLwMVQEgxtHbUobsUYNg5y9QO3VFHQ5A3aQJalzzCB1uxDQGrkA
WXtSLNBSznmXIe9lQ95RtOloqkw8SSXnz0glibXKjxhwsAGTAx4sDkxBktkHQzqSiqEUDMDI
EZIoCUUUMGQxCC0mBcsYsKe13IxafpjSgpi2wLKU6HE0EQZ3Omd+hqx9gsWpS9ELh1O6Ua3W
FZtQAEaGjl7ZTUXDQCUMFx2IaEoLYbaqkVrvOiDJzJ2ZkvolSi01kCL+JciHoadknVboMRSC
gWnaQi0/ivy9Iw1Yv0bWq0asLnQ6bI3hwAu6k/sb+g18sZJzG5gF416yD5Rwzt2gGYbCaaM4
Zz9wzjHibAMlYSNtJ8CY9Zl5yM7Fw4B1zyi9i4DGjL2PAfsv2MWTjJlq7JtgCI5zF/sP09Mc
+1WA00zLvhlwmmnZfwT4SMIHcSJD+NWAFxK+BXDaNN5+DeCnE74VcJXw62AYVUr4NojXSm7/
t9DPMCHQ1vcOqAtMD9KewJpx9k9B87bRGXdcw74RMu02yE1F3oFFvjpa3FrEtO2pN9W3mFD0
+GgDxz+pjGVVgv/EGg+7QljoW6R8qy+l4qBSzzj1kpzFkrZnvALSMLfR2ItixH9ZAedtzNBA
vZzFqulIX1NgKLvDQIy88hRU5Vl7Nq+EsRuCWRQ2Zk5tRupndr2riT8LbYfZlrHWechvzMpf
gPyLUvxaiX8+tlCYuGX0PBuRfHWa7EXym3AFwn2CQ30dThhyaE4E1IP52vrwzEcF922jzGNS
mWGKqMlM7Gkp9tQx2txUF9z5fsRHMKksGHGc5pYKn1ua03PLMWcVFJTB/KigwH3Ywl+OKGOr
72Yq/YCPrYMztQitT6PfmVIk0Cag4uAG77zQcCStwZ+SrU+jhhognFIaSgpSGrxpG7xD23BC
qyGS1rAvbcO+oW3AvWyEhp1pDQfSGg4MrQHaDRsQHaQR1Gs0dPpvGjodoTHT/9CY6R0aSL0L
Q6dAKNJrGvUKKICMDtjLx0Eb+lAEPq8UwIxxbGazztc06/9SQL42Q8Kg2R5VVjCRFYZi+P7I
olgJYO9pMQ9PRVR+NbxZqMqv+TOMX6utMImutsIrB4uC79vyMZHPGReIkFpRGIB5LuorrMXt
nwivA5x6/sImwKm3LzwbcOrhC78HOPXqhS2AU69eOAvwSsJnA15D+DmANxE+B/AWwudCcMwn
fB7g5xE+H/AFhC8AfCHhrYC3Er4I8DbClwG+iPCLAF9MeBDwJYR3AE7HkRSGAb+A8FWAX0h4
HPClhCcAX0b9ZuHlYDS8EKBxLL5HqEHO+pwi8C68OsABdVEpSCDqUOmtXymTqLXDxDffCnrs
N+BtgeE1yhX7gUDoI22o7kJ2tY8s4t128S9AEcxyaIwFkyDOeQMI16c4s9Oc1wGHuRBZS8Sd
kHVfimiHpmWH1pFrdbaDBMx+sP7ODoy/uq5wzOQM4ciATHSGn2UyufnONZCCaRLJX4yNjOSj
gFu5fOw4ycMRh9iQSL4PWxLJrwVcyPeXOvi7W+cRc8gB7ljDrvVgA0zHHLAHEV6o9ThH4IPg
emDBhcnfysA0rLHzWng6w7xN4wbnNsjwtES8EYx+PUUk3R+Z4TUzTPHSxdI4AS9LoLwG6Cec
hcPAdzALpBhJT0GcfjPcdpgZalU7hoHzYKLowOf6xtTT3nkRTnouFhk0D0NnBMd6MKGUphOc
H8SsOw34jcg/YYbpp+Mqk74eOMNx9uLTnoTXKjA7deDbeHLSPeBOmKuS4vJUvDkfBvsnZnA0
Iw/noxDj0w3YZPYLeA+XOP+PvbOPrqq6Evh9CYEHMSEQAgkgBEVEMd+P8CGGjxggkCoQdImo
1/dxX/Lkffnue0nQwahLO7ZVq7W2aqWrfrQLkeVHdXRaaq1jq9jqqOPgx6pW1EVxtJ2Ksxyx
osze5+zz3rk77yBds2b+ataCd+/v7rvPPvvss++5n8frorioLJ7+ylEaGznUOqKyt+S3F05q
aqeXYqhhitfytjRlOy4/nS9KwpcRvms0/1VMznhsKL55F47tptUVccuDeHiY790iEnBV3ajz
66gz1JUVhuF1oxH7IYpxL3lvpG7szXnRcbiZlsuFqFw+DperrHbfqAWgayky3+hS7R7kYVr2
3Vk9VXuR/8+El/e0WD7/xaCk5OZ1y3taLd9YXCm9+aHh5QPBuOUrF4nt5l3DK4SWarm6Y3h5
T5vlmydlbxrOf1FE/q2wVKFrodAzxWIb7llyc9yz1u/9hMfU/H4r8QfDddXesZBH8i/xr07Q
t8quhL+h7iFaO3LkyPCal2hl2ZrDtDS8um2iEr9ibQctHxlenZtY0CL+hnuunJhXhX/Dlm+C
76TK6vLSymmVE3wTx1RBnyiptkorl2CdJ8PC4vLTy7uhnUfNtsrLO0AQGq7aV1pZXo5bfNV4
HSMvthBOMMaMB0G8OC5pGe48tton5ZOVuMe4Kb7C7uUVWinH+Xzd1UgrZlnd1U2gp5LKhaw5
fo6FMlVYAC5MWOQr9Ss1E/0WLtbioFMsluHipEWkHI5ejb6ldXIlCdXDfSaXCYVTxBa/3NJd
LbfV5sXLCrCu0SJJgtCaXA46yyiPf6bPBRumV+BEP75SKnlGiRIpaxVCMyvy7lpah0rqC3pb
y5fURYRXZqHBAdh6At8K+anQWq1Q3dm6QpTB22UnAfRzOGeEJPTMkwvNh9rmNsEq+uoUuTAD
bDg1YBWcJo2eF7CUhxU6LZA3C1cbCoYrpzbiKUaT8GyeQ4opNJcSbIG48xf82qo3qJJpg5io
VBKBQmhJY+bzlobh5eJ83CyoosBamDeGrF6EF6gXk/Mozk+voVBdgnnvjLzmfL06ClWVYKle
Jexty2q/t0JsWVbuw3XIVIF8GSXglhUF5+FqZyNULlDn2fXMMo9IV6PlEbGslQHRYkvrAsIF
qwLWKiG5GheSIjC7aRGy7RpahAqupUWIhh5axAE7XkGVN769H1I5r9g3TODv3hKUX1+C174/
r6yA/8WzJPDP15RzM0304lBTeN68JjF5vaVjuRKPhZr6wuGmoYXtdnugIZfckkwNJhvisWRu
qKEvmZM7evcZobcpFMu6pm1GzUfbSUxtbtqIk6x7NglNlv4tFfUCGDpjSSgXi2cbYkkxPHGz
kViqsR8dDYsRJwrLcHgYxNedJQ6LZdxTmyoXNsFJENgQTiWjsT5YhcYL46uBcQdF1Wy3JDcY
xpc1hQ75OhjJRAcjuJSNJRxZmKgoLEKApDMOmBNLOhE7laYCk86gHYyLNxBTaB6ESTKXcDKx
cMEuYNIOqRELRgwxBDslQHIwlYlIg6VZ+dqDXXJZf21MxtbYfMzVPrf7yf1NR0qW1u7e3+S/
3x/74wGxOlmt+vv37z6wqdHfaJXAqWZ0VMno0ik3QaKO+fc03uSHqGTzQmM7WXavjXdr8EVh
Oyt+hMOyCbs/lctYNj5Em3Pg11tdmx4+WQK/HVY2GIvjbMOLbBsCyg4PDbUGTHt0x7rm21D2
UJcVSqXiwXi6P2glQm42NRh2LTccc5LZWDQWtoQQeMoNu+kkeRYafQAclsmm4hH6jVvRTDBs
R2J9GHwwmIdqxPAN8FwmY7tbE6FU3OpLpSIQm0JZfwbrXCgaV4JiaxRqgb9JO+zaaXyKOOK4
OFlyKpGG+IsmQXMilEFDsUVjqG4omkngCpiBheqmoGKnT5SJm90tsfQgqoOoljMz8ymgA4nU
gNO1LrxubThh5dJpJxOGQJYGuhCQDtQZiopa+gPOXre3Qf27hoaERcULaWnJprApbGzmrg1r
w1YilbQjTjiWCMbtdAofhomnkn34dJG51VFnhzUwmMYHdqOW3Q297uy0k0zgJN4Q3KlEyFKF
iIW0x6ci8hB7XY2ehYKSroWv71uwFBGREcxibOIbr1ZhTvReaNwk7GcPxrL9tsgmln2uDFaI
6VQUmzKfiiCet0aCWyHA+6Bfi28qgNVn2yu7e7osd6ubhRNZz+Tbooqn4duTixdrHpQ1r++g
HgxmRfucLASE+B+1inXR+hl8gZ1yF/ohl9RLT9quk7ZDW20X39a0BhNOgmJTReuxdig336Ew
VMCzC+Jx2Q8w9hJpyxWeTKay6BbLVa0GW9OhzJZjLideKMeOubasDJaJN45FnbBYBHgXmjJv
qhAVbhKNkc2OO0O0uUlLX0YnYCcQF+9sjL8EVCckepxsndgxto4bDiajIrSzkMdcqL+L/oY2
kM0VTdupaNR1slY6m4nEolH72P0tE1gs2WVRuMq8EHegMk5fMAtdU9TJklPa99r4FENTfyrh
NInna7/qwx1WVLWQmMAeHJdN5SCDgCY0IZOEXi9zksjTCYzrQoaAA1dENDz0ILsT/LER0BA0
1EC+4UXizMWFu9EFruNsicQgdAdjYHDciWZRr+uE8SfmRtysbD3QmM5RmIt4hebE1s46hoSG
3VgltKISrfEs5qDeVhsVSTspQPTOAW3mJHHeeqgAemqrJaJE5Kl8rxKZiwIfs0N/ajBE+ROP
c6Jh5XCmnaQG8o7Gdw7QQTJs0t7SnUvzCVN0aycK7ZLMGvJrK+TXfJ+HysVwn2wml8QjGqau
WDCOB9u0JfMDmQrxj+Gez3bCv+BwbOCUOEzjczIi0a5MZKPxYB8c7FK5UNzke4yDLvT8ht4W
G+JTdKK/LaVQiKdCBSPFUQFW5MGsL9+LMAwil+TcrAzCGISpLap0jAUmuhbadODssqLxVFAc
xGWs2+f3ZgOiK6Az5JhFBKmn6f+2LIZVG5E4LLA4Vui+GDjgbpXBxDgJ+gGORtJa0jIcZrWo
wSjAEBc9GZoYNWvH9+WF0aGVj1qI7wz4AUadmT745wSVOVFqfWEOvuRlqSG29yCO4xYRpcon
YrhV3Nr2oIv1ga6aCKvsEIdkBuP7S91UhkYEFG4iBZiHBmrw0GGpsC70SdGwMkLwsBHOyuFQ
yAq5TjAD4yI4egUzkLds7AaY7lV/ER/+sPF7PzBQgN4kvodiNxevzgLKjhj+4PeENH9ktsg4
fbYbhOYW/hWtE4/QcMWTAcj1lCeF5yHb92X7aae4iItsRvZP+JelnHhMERnOH1dBS0ZGiN6Z
IOoHMcdj1IA/QrmoIZk6l6pkqjlaJTXVvaTJEfkTlT9bqB6WzFP4LhzIy7FRvttDN6fTLDQT
xypRUj0oAj1/6mXReFoN5rxHYDUyC+HxEjThT4w8JkIPKlwYoUoUtfSkSgN/rJFI5+CfvgQI
wfESxvxOMrxVjftXnXVOfee8efXidLW+tbkl0NLaGqifCyPOjBN3wNZT6hsS2VzSOaMPP4UV
C8MqBuIZcLLc0B6ob+irb0ijDzJZlWSK9B4ZCxhtWKEonlTCCNwZwmpClOKnj/CDPtiA+Jzc
UbvghjCOyTHlteEDX3ggh1zY0qIfGyhC8xkIHHBZKunAeJyaWoYreZXylggsKy7OoI4aRm3Q
Ql0D8ogfPMo5QN4rHdgSbsruhzaOO1pnQ49FZboQP651hUhYUJOMPN3DnEBnXTSys9Ls7Oto
aUbvzR1ijA9phJrLe3DYKPYGdXBGj8d9chR21141+lGHVTxMZ9tawdFyrAjmilOOmEtjWtlU
Vr5dxajDUmOJSDAbNOQlGoKrUYF2sjsoJcVFg4gTrcfzbhuvA9jZYJ93TQ0ILWtVZ+fi+rkQ
5KccLcItejYBr0hdtsHyDVX5ph03xn+TTz4OPJ22iRsMyyurvl7SWTG69FMfiIht9IleeS9A
bd+GW+W+F+jX/NX2c+R2qxE6YjYYgl/osuK3Xy2BecFG/IaW1Sg81hhyXaApuSK2otchN2cg
90kg+ju0TjRl0XIwFMo4A57NwQx+Qcn1MPxwk9oF83RjWL7CbzVCkziN4MIG6CvhLbST049n
8tCLv+JP3OO3Dh4ptq3U8BXi0qJfMhZvpIxg40QZBe7zyJeNkMd7SyUgpW4Wqfs33cQ76GLS
VG2f0hFfpVecf0Va8XEGXm7gFQY+3sAnGPhEA68awS608DvSBW8pf+BN8pHS8vvmxXjOwIcN
/HEDf8HAXzXwdwy8wleczzTw8w18i4HnDPw6A/+1gb9l4B8ZuB/isqrIxfWakuLyDQZeuN6D
B9CehYWrRecHWo55UBmD5FzkSqn8T536LaAPSA1opye4FHe7Ryb+rg3A2jzXl7rDG+2u3vn2
OnG0b2kufEZiQwD1xgpjADyWxDJu1wZkZ63tzS6iayEp0F2ksPDAuoEutGuh+gaEVCktxVfj
i+5WxMaN9sZmsLLdFjak4m7XupUbelO9dlceoE0L6GMOshhp5ldaOV98sKULtrSyUXNLi/bF
AqmztxlNWJT/PkC+QlDOQjXuDGB1O1uw6vp4pIjQmVIoPBS0aZwm/9Q0sBiK+MTBYbqJXKPx
SRqfZeBziGOm1LPrPI3XaFy94416Jmt6OjU+ReOrmX71nfyvGfRvMOi/SJOv1eTDmnydJj+k
8akav1Hj0zR+i6ZfjTPw7zaDnds1Pcdreu4zyD+gyc/Q5B/R5NE/C2h9t8EP/6rxmRp/zWD/
mwZ73jHY/6Emj35WuesjTb5ek/+E2a+mifiroVw1AOH1mugrcD1+pvi8+lXbT9e4rn+WpkfX
36DJ6/HTqsnr8bNK43r8XKhxPX5Cmn7d/30GO+OaHt3/Qwb5bZq8Hj9XM/+o+PmmwQ/bNa7H
z08M9t9vsOchg/3PanyWxp836H/ZoP9Vg/53NX6Cxg8Y9P/JoP+gQX9ZSYHreXVmSUGPPvqd
rcmfqMmfosnP1uQbDXraNH6Sxhdq+udo+jsNdqr9fLRNjaP1+br00e9xGhfzoRKYwPjHpKeG
8X+gob2aVkiVq/5O0eT10XUj0zOeTjXaGG8ge5YxTtMQ5R/mUvweGqqvZ3w9nSJcyHg52R9j
fBcdYHOMV5HzrmH8JdL/Lcan0fptXJ4aZDvj51F9dzGu5od/gvFrKI73MH4Lnfr8O+N/pnrt
Y1z5/QjjF1CQlvu8XM1nNZnxR6nxT2T8AM2Hd7DEy1+k+h5ifDzZqeZTUzxH6+MZT6rzRcZX
UzzUM/6P5M8Oxn9L7buZ8W3UXi7jv6P4uYzxV8j/32e8h/T/kPEVZM/DjO8n/f/M+Gvk/73c
HrLzTcbV8eAzxneqzjrKyzeTnuMZV/6czfgoqu9yxndT+65m/Gyy/2LGd6h5wRn/C9l/GeML
SM9VjJ9L8fMjxidQHN7H+Jfkl4cY30L1/RXjql/vY7yG2utDxv+F7PyUcT/V6wvuN5IvLfPy
7dQuYxnP0fp4xp+k9RrG91C+msb49dSOJzAeV/OLM34D+aeZcTUf8ALGF1O5HYzfqubXY3wV
yffwelE/2sj4N6jdL2B8M+kJM/4Y+f8Sxq8gP1zK+C9J/2WMb6J+9HXGo9Su1zO+kfzzHcbf
IT/fxria1/mHjJ+j5olkfJD8uZPxJrL/EcZD5M8nGb+X7PkN4zXkt98x/j754WXG1Tzxr3F5
ynv7GJ9AcfUnxpNU7seMX0l6DjGurid/yfgiqu+Y0V5uU/6pYvzfyG8zGO8kP5/K+PPkh3aD
nq8xfjX5J8r4DPJDhvGbqF63MK7q/yDjD1D8P8H4HFp/g/FvU70OMH4PlfvfnFO9ysZ4eYD8
OYnxFPWvExlX5zmtjI8l/yxnfBfJr2P8fmrfixj/PfknzvgHJH8547eT/dcx3k/8B4xfS/w+
xmeSnY8z/plctX7DeJb69X8xfjf5bbrfy0+gck9lvJba6TbGZ1K/vovxg+SfnYz/lfz/KONP
kJ1PGPQ8Y9Bz91gv3078EcZ3Ur/+BeOv0fqzjD9M5b7A+ONkx6uMP0399F0uT/U6xPg55LdJ
47zcIb6E8R9Q/13OeJbqewHjlxO/mvF6db7A+A6q788YX0fxsJfxFrLnQ8YvIPs/ZXwz6T++
3Ms71X0bxheQ/jDj11G9bmR8JZV3H9dP9X2S8dHULvsY/4TWDzOuxk9TjvPyKupXZzDuJ/sv
ZFwdP65mfCbpuZvxdRRXTzC+j+L5dcY/J/4l448Qr63w8oPUXq2M56hdehj/gOyPMv6oXM0f
PxUP0/puxudRuzzL+FPUv17h8qT/bcZfUeNkbo8aJzP+NsVPaaWXP07tPZ7xz8n/0xhvJftP
Zvw18nsb46+THcsY/w7Jn8t4A63nGN9Gcftdxk8nex5h/C6q1x8Y76R89Bnjo8meyeO9/CXy
5yzGK0i+g/Ed1I6djE8i+TDj04hfy/hc8v83GX+W1ncyrub1fY7xANnzNuM95LcjjO+i+s6s
8vK7yP9LGVfjPJvxi0jvAOMfkJ4bGFefZL3FwO9nfDzp+amB/5bx1eTnlwz8fcY3U/z8xcDH
TPDyOymfVBr4PMY/UeNYxkvIbyHGafplK8n4w1TfrYw/QPLXMN5N8t9m/Auq1x2Mv0NxeC/j
qr89ZLBnt8GeZwz2vGyw502DPX9kvIX4xwZ7vjDY459Y3J5qxpU9MxhX9sxlfD75J8C4smcp
48qeNQZ7zjHYc7HBnksY76FxwoDBnqsM9lxvsOf7BnvuNtjzHuN7qV8fYnwG6amp9vLFZP9U
xntJfgnjUfL/csYfo+NmmPHPSP8ljKv56i9lvJT4EOML6Xi3jfHD6voD40coD/wT10/2P8X4
2yT/AuODlMfeYPxsyif7Gf8PuWodZPwd0vMF45OpHcdO8vKDFA81jLvkh1mMzyL7GxgPUbss
YvwiipMuxtX92vWM/5j8diHjc+m4FmP8ZNKfY/wGat+rGF9D9t/A+K3kh9sZHyS//ZjxORS3
DzN+oxr3Mv4Tip/nGN9Dft7L+LVkz7uMd1D7Hmb8F3LVqqhh/qH4qWX8e+SHZYz3kN/WMr6e
2jfI+FLSfznjPyI/3Mp4iuzfyXiC6vs84zuJ72V8Lun5T8bfIz8cZtxP8VM2ubieGYwPUj45
jfH3yT/zDXrOYvxdavdNjM+nuB1mPE7xcCfjT5P8w4yvJf4M4x8Q/z3jd1C96qd4+c/IznbG
g+T/9YxfT/WNM36HXLWuZ/xz8v8uxgNkzwuMP0jx8wbjh8j/HzJ+F9lTVuvle4jPZtxP9e1k
vJb0b2L8SuovWxnvIzu/y/h51C8e5Jza5deMvyhXrfcYn0P+Kanz8kepXtMZf5b0tDOepv67
gvEo2XkW401UbpDxqdSOCcZ/SX7Yyvgmsudaxi+h85rbGf8G6bmHOL+f/nPG1T31T5iePeTn
SVO9/D6qV+1Urx713GkTk79SXSdh/FcUPz2Mq791TL96DiHM5DfRThlNXn8uYpjJz6R2vIFx
9XzYHYy75Od7GU/R8esBxktI/ueMP6jugzD+Fsm/zvgUqoT+3MU4rV7quSrevheVFOf19FvC
+DLGVTtezHiHvtP/4q+ebONPYis7+Icn+JPleN90lCav/vz08L66Xl1D+6onu9UzW3OI8yfT
bzPUj5d/Guk07c/l+XqLNbJt9P03MM6fTMcPSlQWKf+jkuLyfB2fryvmv3p6gF75Cf032hrp
v7OtkXXCP/X8xf6pXs5l1xjKX0jlD80qlO8vUv5mQ/lvHS9/W9mrBVw2adh/PD0QxOcg4rL4
nE8x+x8Ke/dH+zFFcPuvNpS/lMrf8RXxv81Q/r6wtxwsv6JI+TeSTl7PA/SQ2YvsVQUf+73d
sP9jAfk7l3G+/91W8fr/IVAEFpF93Cref/bR/kOM8/j/qVXcf4fIf+p5Y/TfRGuk//AySrG3
Ws6bL3+fYrxYPiiWaurb5e8OUj7ZUP5YQ/l76MHZxV8RPzj/1xanMeKk/+8mtzr6/F+tzc0B
Nf9XYH5Lc7vV3NLa3Nb+9/m//j/+tM/upBbXa2vhdLre84UjNxv5H/aeNTiqKs3beZh0C6FR
EERLr4iSgEm6Qx6QEO0mDzqakJCHIgKXTvftpDHp7u1HCDiszuC404PuUo7jODNbU8yuVvlj
3WJmrSlq1oK4OKJbMy7Orha761SlZtFNZJ1FZTCI2Pt953H73tv3dndgxKqt3FT63PO9zjnf
edzz/nyV9IKgqmFxm000uRqJ33uUhSTrfUzVqhuOLltGOCbRi4xiBkICsjeeiBKUNoV7IHBg
M+IhUvGcOt4TpGfEYGPxxKARo4KrrK+9ggT5IoksKUpL4co3z5zsWRfY7TfDkniA+GBoCKiy
xoKQjsqj4eievEgjEG16Z5QZGb0RK0MOuzMro6Ti/VoK8ewuGEN2b9So8NEywEK8fOHGFWic
X6BlpgF53CdH8JhWLmWyK7dA3sOBqCznVWxoGVPfNZaLOBYfkfD2FnrjWC7qQCLki9MU5CZW
UjqLqEciEr2VKHf05fF49Wxo9bed5aOZiDcYzaOGhMfy0B00hqgPyTcs+x7OL/ggOZUWjpJz
XxKvWrNmxFzLzkjOFVezG+RmE0AebUI8/8Kov7cuFz2ta7mappyfKaXKmstg9/Np0aZ8qshl
aQrJUfzMMOm9egYCzfI/jYRvWkbbK4f8QW/IjE3BZqIG98Tl2G5vxIyV4yud9eaJJJTpGw1z
VFHa5AXje64gP4fiw9lLZW72SiiE3sSIURMXAbTs9Wd8qqBSZwDp1YzGyjNkoBmZhQtx44Zc
LF5Zi0hMju8aNcrOfHWjuQQyv7opERPPOZot2hnJ/jFM31x5JTU9PzHka6G9LtOMFMhyKYJ1
5aQgOR+dx3difNw7GJQC4ahPzkPP2BqTzzJ8aLNTe30P7/ZG/cAW8sMgKLdocg2F5PX55Fge
1PSwNM3LWVLHfb5ZFqfsHFTjg4lAbuUxwnyioJwGz7vwB7w+Ocd3j93vqu8Os4/AZRd10jHK
r0+n6CC/j3o+AQdDeF3JbNU0qyzIg5hVPEJqNlLKOcalHzCVJPUFtzZqdL1R5Lc2zA2154ba
c0PtuaH23FB7bqg9N9SeG2rPDbXnhtpzQ+25ofbcUHtuqD031J7tUNssH6m9mQxJ3AyN0RAE
OkXkalzTMQr2muIwyDUc4pq19YiLySOyL24YqoIy/kYEh+AzYRQc/I96fVHD0k8bSuPgSPor
yc3ZQKCZqPi69yfMPV/tQ/f/BIIjOW/8vfwn+/4fh6OuoYHu/3HW1NQ5GwSH09lQ75zb/3M1
npYtWxqbh1avtsFLe6d7Y19jc+UD0FbQ+9+HbJ2tDEp8tnTbIGp2C4XpTGbYZl1RDpIqROIQ
VnxnUirEyrCKy0iAaGNzo6JqclTTIuUKwafwqaNLBOq2N81SrJbbZmNtqKhsoLMpb43iKqRp
Elc8AtL2UYdI2idWdlGkePcK19ffvFZVx/Hi96/0yVH/19TU1rD676hvgHeo/841tXP1/2o8
t0n97o3E3oXU3t3b5e631lhxcCXD+MMvwgBn1BtvEisr6VuzU9wdhMYhFI6L3kgEiMSm5WKc
VGo5Vm1TSevr7u1va7U6rdWO5kQITanI/rtEZzN/q2kOhEf8aAaGs/X0dm/sdXdJ7oF+T3ev
tdWLFi1ET1AehDGZtdo/TN9cJCeqYuEEDL4gWkNyVUiO64Vscne1WdvGIVNhhBQXW7CUW6v1
VAO9ndbheDzSWA29Yuzl6aRaq8OBQNAX9I6IMeh569nvb+vt6+jeZK2rWouyoY5b+dfUWr2D
N60rqpuWW0eVBlZHomt0h/yD2NJynvRt0FZt8wPMeA+0qKIoR8CdYqfzLpG91VQQOQFbK3Qo
4/KmsF9uD0M/cDcM6DLloZEc0YCSy71LRKte4qpQRCuWWJ7LKo5QpMUEIUPGvCNcSjuMdU1k
0AAVAlMR/LbvTAlj4aBf5GjOn2bD4b47AChMsSm3hiojEpl6oRztwWgsnlUmociSKH4velYh
SJBDRh+pc1mlUBJzOfSac5NcZlgN951qdvYZVRd9TceCFffOjk33tbV2dvT1Sx6pY1NL50Ar
NCHqz7S1Bgj9NgxIC6/eQa+xJ0VffIQIjNnYTfUmdYdhy3kslTvWTTSl4PXlCA136KMjwoNK
RFwTTZ+VRrERi4sNbToa8dCyhFgdF4Zp49bFzDk5hRE3doysvHcEXBg/9CoaQLtX5qIRa5SU
kK7uqHKDMPLcQFup5tIRaxTpr/sL+f/7gf6fjKX8qwwj1/ivZk29Mv5z1jqx/7emvm6u/3c1
ntv5KGY9W8q/Gwc2rFnAF290aOwuYrdVXIUe30PbKx6x2azU5FP5co8M3QTxgXB0xL8ttLyi
yWZFrqDYLDod4IGuVDl6HE1icL0Tf1evBn4r4xfLl9+BfPDJQNZ9NmtUjieiIdHZZNtnm6v7
X/nD6r88/hXP/zTU1Zmd/2qor3Hw+u+oqyPjv4baufmfq/I82tbZXmBJnwosEO4mZwQPWV3E
72Jwu+ogp0tYK5TC7y3CTeRMcLGKziW4NO4EE81dfn4RzywW0QBZwC6Ny20ucFd9blRr/cul
cRexe0oWKcYZRIWP2Ptg8KWLd2rcN1g8XMVavgLGx+91cTF67qbjTx2eviL2fzOD38zTxdxW
Rteqosen5/24H99H2P1cIwtdGpffr/iyjm8z8BlbMzN++H0BuKmqvrZ6xM9Wiaj1RxgHV9UQ
2UiHutu4aUBJJoYjsrDx2pxChj9/6acv+x9pKa14951LizYv/lXProfeLFTJoPGzQ3FbRGCY
RDzTGnu2pOC2S+es5W3vdC5+bh43/WP4lFgEQ2toQcEYbhfSdx2on1tN4P9gIv/HJvBpE/h7
JvA1JuEuMaHvNqH/RDCmf8kE/l0T+QvN0oU4tMKxdCfxL2UVsJvRP8baB/58n4Xr0MEvMTmu
G6kcO6/IUO5wm+vq1VjW6tFWLxoMxcY4LkmCdO+Y1CsPQf9fjrbQ9WRB6ujvkvxylIH7u1pG
wiG530sMQSPOGDMru2Em9rKuyKiXkS2ztN20tC2x0O7RK7Cj9qe1b2ZoWmyrf6RnDDNulOYZ
vA35fBLOmlU50efjeakyLyZJiGAZSwzJbezs2NAi1VTVVNXR9y1bpDVV5Lx+AWtG0aXWIguY
T/2HjwX+fmtJ1+/EsqAVW6KLrHxZyF+6nYtXPF2Kkkp4O7+ElkdskzTn51l5Lxa0dvZ4+UX4
9Sr4TianRNCerR9WwdVH8CMquDrccRVc/X17TAVXt+/fUcFLVPCDKrj6roPnVHB1fT+kgqu7
2y+q4PNU8MMquNr+zhEVXH1vz4QKrrZu+YYKrr5iwrP/f0o9B4pfKBMFz7cn4sVTTQT4Wulx
ik/V/QhQqTv+Gn4X3OqCN/QPI2p6Eg0W3fE0+jErpk8S/3fRj1kwPUH830I/qn76MPHvRT9+
yqYPEX8U/ZgF0weJfxf6UfXTjxH/IPox2tMR4t+KflT19E7i70U/Xssw3UP896IfVTvtIv4N
6MerQKYdxN+IflTxtEj8NehH1U7bwev8qCP59g5P8vee/afP9vR3nJgQoCfgOfHqQTs6J5rL
XMLURiA8F1hwK3Qmjvw3KHbAUzkJjmf/TJkn+f7YTUeIZkGdC7cfQ0RqEoipxaHtxwP4VHH/
0UnC/80/EAGvflkIAjzJs55Xp+7xWF73vP1lfLEi7VoubcGtKIeE/1jzhQUiVMeFA8A4FUIL
Z68XfwAgy6fHMb+OrV2MEbtHSBSf+R7wKcI+RobUye3Te4EH36Ek2D3JfTPHsBpOnf4ylfIk
/8lzoG3Gk+wpJe4B5ibt1Av6cJEyfxD9bx5nUhwgZSqZOO1JDpyiwn5AhCFL28yBgdOE/1Ra
HHHBP6AKylUKkUzMA88URygBkGgmE+d4pA50kdfkW57kiandkBwTSruGcFOakMWXhCWwiJJX
jEay7eyZ2wBw9oDQ1HY6UXDmJvQwqrOcxLN/31khcYo6JUTLZ4owsO08LiIG40kmJgE6ydhm
gH5GoW9UaXmSqWJSr4pJRUeQhp98kUodwbr3piYUSAyoGRmS7yLZkhTTP4YWX0YUitIodluK
CTlTTOKRISsvxXwjh2IgzANdNE5E/f9ySZVPVDca2TNnVpPiIiRfP4Yfg6lvXUylji7Cygjc
fwSPUlAUPb6l5OcMy3FWwOzb04hk4izjtKuKoF2Bga5ZfizmMCLnbNJOtKTJUCouOTDFc+Tn
kCPa6mBP7vsimZjZv+8LS2LlN/fNoI23xC3HNi+DNP3h81Tql6egTh9F7zHszE19/jlXzFEk
PYZhTmHTqQS80/MUlo8TU20QGLxP4Ps6eD+6FNRDtfVvIOXMwgMDryAtzeejSOFQKH7+OWF+
xQMKxq/w1M8QAEnd/+FSz4HrPJaTyHQzAr89seD7E49PJA7zgJ+FCn0Uu6RU1A8wsJsPtB3h
efXuBcB3s7zqIAENHKHMJCph4Ad5v1HJ6AOqo6j2Y3aMTC16NyuRLVYlZ4LK+N+LmuT81wVd
cn5/wSA5XRd0ySG6O3FJk5w3LuiSU6JOzt4LSnImWHIOXcpIzuM0OoeAcsLzVBcknJT6V7Uh
7eBUgPr4Cw2qBVDa6mhSkHqxIL0wwwtSr1KQfjZjWpDS3x/3A+773cmUe8Dd3/nUHWNFInyM
nqp8Aty+juT5juQ7zv/srHif9BJevVQ49ZvPUH8fxW/h/J3JDzuT51tBQmrRe579xy2edWcS
H2IH4qHt7m3u7e4dbum46nv36XHW52BdDAv01uD7JbSFYCCBO54DuEYn4npFI85HEjgu7MhD
4Ja39HdWtuICOPS9KxpFYLXZFNaY7AuH/ISXTGVabipsOizQu6RaIeJfgFsLSvk1uKtAvStA
IxFwW8F9G1w/uBfBRZt8K6DAPQ/uX4CLtqc/Avc0uOug1BVB7+ZvwUXbkefAbQV3PuSeH9wt
4D4O7qPgPg/uK+C+Bu7b4J4G9w0o+WgTrxjyYQW4K8BtBfcZcJ8sTNs7suztFSzjdstN80pK
D1pK7AjHuZmdkI5Vqv6bMT21WYn0rvOpFLH9WmZvL1t674Jrd5c+JtyzrGnVmhXkxjOkwTmR
L0FuOykQZfYnClrmX1PgBkkU74f/FaA3rwa/TcFjzsozLF4cLxM0wT8P/2HAV6jx/jT+Nfgf
B7xPI3+HIv80/P8j4AMavFfBF0F6LZBvnRr8RgWP+VwJ+F0avKzgMf93A36zBt+ZTj/gXwT8
jWp8fzr+WF5+Cvj7NPztCj+Wo18DfqUaP6hKP+D/FfDNavx4Go/l7uwFZhua43vSeCyP7wP+
M4sKX/iJBSlI+rEcXjSXj+X33y8ay8eygeX6FODJlPWGMvtfFWwoW/qXhW1l4lNFG8rKnyz2
lDmeuMZTtnZ/SXeZK1K21l3mcJeVQ8cb6IB+Q1kpKad/Ry64TKWM7l+L2FzELS+j7p/ZqdvD
4PzR32fH3V9atP7XdP7fshc+tjpYSuXyMVURm+/jdlD5PCW3E8jvf+PXKzoYns+X8rHfH79M
hdHdWUDl8bHleBH18zHlcwzPx4DXM6Vw267qewTVDx/Deth4juuS29/g7QEfo7JrhgVXiUsD
n7nGpYk3v3eP2yXn4UNzRdJzhNGnmJ+He5b5n2T4q/Uo88G653WWr+8y9wPmnmfuNWy+7Abm
3snceua2M/d+5gaYO8bcJ5j7rG7ejT8bW1oaxfKNmwYqRLIJXqxxOGudNTW1YnkkKkflEdkb
k6EhrIrtGY17B8GNR6k7zN/wYxeNCFWhcFyucm/oqIx7h5hvKJSoGkwER/yVQb9AfMPe2LBQ
5d8TAnnUjUcpZkyOxoLhkMYjAQ7i4EVC9hYZiWOQQfiNy+PwGwAP4MK4kUKokoelQNQ7KkvD
/mjaRzkkbzTq3UM5+PsuX5REwzsa9EHQ4Tj5oaFQiYOxmFDlC4+OyqF49jwuxNpbkKnnQih9
NxvCC4X1hvAipT5q4cVKPdTCr1HqqxZeYljOC6EWHTGEW5V6poXblPqohV+rtEta+DzhsCF8
vrJupIWXKe2ZFr5AsBvC7cp6hxa+UBCvM4Jfp7SPWvj1SruohS8S1hrCFxvW40LhBmW+UAtf
orR7WvhS4aQhPD2froUvy4DRe6s/TunhpSbw6wlPZrpEAdvG+cJJXb7UMbhd9z3zMLj+O7eD
yL9R6Fm2U4kfPqPkPVPPzzA5EZ2cQ4Q+M7+OmaTrLRbuZl24v2Pyz8yn8psZfL6Fwvl3m3+v
yi3Z5feayK+1a+U7mXzeH+DyzfKlDfuCUG7ti7V66LMY55dgIkci9Jnljdpnuy5D/08wuF7P
PyRyMsv531iwrGSW25csxutAx03Wjf6DwKEXw+ov/y5/yOD69uFjBt/D8vE+Bsc+pJH85gJK
/ywrV+0M3sHgC5gcbq99W4Hx+tnDJvBHTcL9HoFntmM/NKE/agL/nQn8Mxb/91i6vAyO9hOM
1tWaC43j/2ChsXy0D75Q1d7ydeOXCmm4rzG9rWTw1xl8J4Pzfugpk3A/KcT1kszyk8JwC5YK
kzr4tUXG64LLiyj9KR19dRGNz0FW7/h2lXsY/NNrKTzA4D4GH2LwCgbfy+AvzKPwXQz+dBHG
/8aMeP6kyFifvzCBp5icLcu0coqKjemXF7N0sXjyjXj1xcbrrH/O6JsZPR97P1NM9a+P/49N
wv17JudBpodOBv8Vl8/az89YvvwzgRv0B7DjVeUTfNF4LJ4IBOBVku5t6ZXILl5JSK/XSvFR
yYfrsjHBACRJ/rA0NBIe9I5I/ng4GpO8iXEBumUR3EDur6qvr2kwJpLS3T0JunDRPQLtIPoT
o6N7gEXlk9K9REaq3ehLllE710pS

  1. 2015-01-01 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] databse normalzation resources
  2. 2015-01-04 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Future of Computer Education
  3. 2015-01-04 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Re: [NYLXS - HANGOUT] Future of Computer Education
  4. 2015-01-21 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] pinging new semester...
  5. 2015-01-21 duodujames <duodujames-at-gmail.com> RE: [LIU Comp Sci] pinging new semester...
  6. 2015-01-21 Maneesh Kongara <maneeshkongara-at-gmail.com> RE: [LIU Comp Sci] pinging new semester...
  7. 2015-01-21 duodujames <duodujames-at-gmail.com> RE: [LIU Comp Sci] pinging new semester...
  8. 2015-01-21 Maneesh Kongara <maneeshkongara-at-gmail.com> RE: [LIU Comp Sci] pinging new semester...
  9. 2015-01-21 duodujames <duodujames-at-gmail.com> RE: [LIU Comp Sci] pinging new semester...
  10. 2015-01-21 Maneesh Kongara <maneeshkongara-at-gmail.com> RE: [LIU Comp Sci] pinging new semester...
  11. 2015-01-21 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] pinging new semester...
  12. 2015-01-21 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] pinging new semester...
  13. 2015-01-21 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] pinging new semester...
  14. 2015-01-21 duodujames <duodujames-at-gmail.com> Re: [LIU Comp Sci] pinging new semester...
  15. 2015-01-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Class Virtual Machine
  16. 2015-01-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] pinging new semester...
  17. 2015-01-22 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Algorithms Assignment 1 attempt
  18. 2015-01-22 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Algorithms Assignment 1 attempt
  19. 2015-01-22 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  20. 2015-01-22 From: "Serge Glikstein" <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  21. 2015-01-22 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  22. 2015-01-22 From: "Serge Glikstein" <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  23. 2015-01-22 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  24. 2015-01-22 From: "Serge Glikstein" <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  25. 2015-01-22 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] Normalization review
  26. 2015-01-22 From: "Serge Glikstein" <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  27. 2015-01-22 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  28. 2015-01-22 From: "Serge Glikstein" <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  29. 2015-01-22 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  30. 2015-01-22 From: "Serge Glikstein" <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  31. 2015-01-22 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  32. 2015-01-22 Sergei Glikstein <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  33. 2015-01-22 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  34. 2015-01-22 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] study hall today
  35. 2015-01-22 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Algorithms Assignment 1 attempt
  36. 2015-01-22 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Algoritms
  37. 2015-01-23 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Algorithms Assignment 1 attempt
  38. 2015-01-23 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Algorithms Assignment 1 attempt
  39. 2015-01-23 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Algorithms Assignment 1 attempt
  40. 2015-01-23 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Algorithms Assignment 1 attempt
  41. 2015-01-23 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Algorithms Assignment 1 attempt
  42. 2015-01-23 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  43. 2015-01-23 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  44. 2015-01-23 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  45. 2015-01-23 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  46. 2015-01-23 From: "Serge Glikstein" <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  47. 2015-01-23 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  48. 2015-01-23 Kamran <kamran.mirzayev-at-my.liu.edu> Re: [LIU Comp Sci] study hall today
  49. 2015-01-23 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Re: [NYLXS - HANGOUT] Linux Job Crunch
  50. 2015-01-23 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Software compexity and history - must see video
  51. 2015-01-26 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Weather Emergency!!
  52. 2015-01-28 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] making the class up on the fly
  53. 2015-01-28 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] making the class up on the fly
  54. 2015-01-28 Tony Genao <tony.genao-at-my.liu.edu> Re: [LIU Comp Sci] making the class up on the fly
  55. 2015-01-28 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] making the class up on the fly
  56. 2015-01-28 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] making the class up on the fly
  57. 2015-01-28 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] making the class up on the fly
  58. 2015-01-28 mrbrklyn-at-panix.com Subject: [LIU Comp Sci] NYLUG Open hacker hours
  59. 2015-01-28 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Operating Systems gibberish
  60. 2015-01-29 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] making the class up on the fly
  61. 2015-01-29 muhammad rizwan khalid <rizwankhalid316-at-gmail.com> Re: [LIU Comp Sci] making the class up on the fly
  62. 2015-01-29 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] making the class up on the fly
  63. 2015-01-29 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Operating System Interupts
  64. 2015-01-29 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Operating System Interupts
  65. 2015-01-29 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Operating System Interupts
  66. 2015-01-29 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Operating System Interupts
  67. 2015-01-29 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] Operating System Interupts
  68. 2015-01-29 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] LIU mailing list FAQ
  69. 2015-01-29 mrbrklyn-at-panix.com Subject: [LIU Comp Sci] nixCraft Linux / UNIX Newsletter
  70. 2015-01-29 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Operating System Interupts
  71. 2015-01-30 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Operating System Interupts
  72. 2015-01-31 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Linked List Homework
  73. 2015-01-31 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Linked List Homework
  74. 2015-01-31 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Linked List Homework
  75. 2015-01-31 mrbrklyn-at-panix.com Subject: [LIU Comp Sci] linkedlist example

NYLXS are Do'ers and the first step of Doing is Joining! Join NYLXS and make a difference in your community today!