| Current Path : /proc/thread-self/root/home/ift/mails/16/ |
Linux ift1.ift-informatik.de 5.4.0-216-generic #236-Ubuntu SMP Fri Apr 11 19:53:21 UTC 2025 x86_64 |
| Current File : //proc/thread-self/root/home/ift/mails/16/1481222746.zrspam.162397_2016_12_08 |
From scanner@shortnote.de Thu Dec 8 19:45:46 2016
Return-Path: <scanner@shortnote.de>
X-Original-To: cgabriel@ift-informatik.de
Delivered-To: cgabriel@ift-informatik.de
Received: by ift-informatik.de (Postfix, from userid 5555)
id 1C3CF375227F9; Thu, 8 Dec 2016 19:45:46 +0100 (CET)
Received: from localhost by h2486555.stratoserver.net
with SpamAssassin (version 3.4.0);
Thu, 08 Dec 2016 19:45:46 +0100
From: <scanner@shortnote.de>
To: <christian.gabriel@shortnote.de>
Subject: *****SPAM***** Message from KMBT_C220
Date: Fri, 09 Dec 2016 01:45:41 +0700
Message-Id: <135D3F1D.016.8CED4465C725.scanner@shortnote.de>
X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on
h2486555.stratoserver.net
X-Spam-Flag: YES
X-Spam-Level: ***********
X-Spam-Status: Yes, score=11.7 required=5.0 tests=BAYES_50,
RCVD_IN_BL_SPAMCOP_NET,RCVD_IN_MSPIKE_BL,RCVD_IN_MSPIKE_L5,RCVD_IN_PBL,
RCVD_IN_PSBL,RCVD_IN_XBL,RDNS_NONE,TVD_SPACE_RATIO,T_MIME_NO_TEXT
autolearn=no autolearn_force=no version=3.4.0
MIME-Version: 1.0
Content-Type: multipart/mixed; boundary="----------=_5849AA5A.2C2A8409"
This is a multi-part message in MIME format.
------------=_5849AA5A.2C2A8409
Content-Type: text/plain; charset=iso-8859-1
Content-Disposition: inline
Content-Transfer-Encoding: 8bit
Spam detection software, running on the system "h2486555.stratoserver.net",
has identified this incoming email as possible spam. The original
message has been attached to this so you can view it or label
similar future email. If you have any questions, see
@@CONTACT_ADDRESS@@ for details.
Content preview: [...]
Content analysis details: (11.7 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
1.3 RCVD_IN_BL_SPAMCOP_NET RBL: Received via a relay in bl.spamcop.net
[Blocked - see <http://www.spamcop.net/bl.shtml?14.182.70.187>]
3.3 RCVD_IN_PBL RBL: Received via a relay in Spamhaus PBL
[14.182.70.187 listed in zen.spamhaus.org]
0.4 RCVD_IN_XBL RBL: Received via a relay in Spamhaus XBL
2.7 RCVD_IN_PSBL RBL: Received via a relay in PSBL
[14.182.70.187 listed in psbl.surriel.com]
2.4 RCVD_IN_MSPIKE_L5 RBL: Very bad reputation (-5)
[14.182.70.187 listed in bl.mailspike.net]
0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60%
[score: 0.4773]
0.0 RCVD_IN_MSPIKE_BL Mailspike blacklisted
0.8 RDNS_NONE Delivered to internal network by a host with no rDNS
0.0 TVD_SPACE_RATIO No description available.
0.0 T_MIME_NO_TEXT No (properly identified) text body parts
The original message was not completely plain text, and may be unsafe to
open with some email clients; in particular, it may contain a virus,
or confirm that your address can receive spam. If you wish to view
it, it may be safer to save it to a file and open it with an editor.
------------=_5849AA5A.2C2A8409
Content-Type: message/rfc822; x-spam-type=original
Content-Description: original message before SpamAssassin
Content-Disposition: attachment
Content-Transfer-Encoding: 8bit
Received: from static.vnpt.vn (unknown [14.182.70.187])
by ift-informatik.de (Postfix) with ESMTP id 572C4375227F0
for <christian.gabriel@shortnote.de>; Thu, 8 Dec 2016 19:45:43 +0100 (CET)
To: <christian.gabriel@shortnote.de>
Subject: Message from KMBT_C220
From: <scanner@shortnote.de>
Reply-To: <scanner@shortnote.de>
X-Mailer: KONICA MINOLTA bizhub C220
Date: Fri, 09 Dec 2016 01:45:41 +0700
Message-ID: <135D3F1D.016.8CED4465C725.scanner@shortnote.de>
Content-Type: multipart/mixed;
boundary="KONICA_MINOLTA_Internet_Fax_Boundary"
Content-Transfer-Encoding: 7bit
MIME-Version: 1.0
--KONICA_MINOLTA_Internet_Fax_Boundary
Content-Type: application/vnd.ms-word.document.macroEnabled.12; name="SKMBT_C44746230206662.docm"
Content-Disposition: attachment; filename="SKMBT_C44746230206662.docm"
Content-Transfer-Encoding: BASE64
UEsDBBQABgAIAAAAIQB+OOx6hwEAAK0FAAATAAgCW0NvbnRlbnRfVHlwZXNdLnhtbCCiBAIo
oAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC0lM9OwkAQxu8mvkOzV9MueDDGUDgIHpVE
fIBhO4XVdnezO/x7e6e0EDVAVfRCUma+3/fNdju9wbosoiX6oK1JRTfpiAiNspk2s1S8TB7i
WxEFApNBYQ2mYoNBDPqXF73JxmGIWG1CKuZE7k7KoOZYQkisQ8OV3PoSiB/9TDpQbzBDed3p
3EhlDaGhmCqG6PeGmMOioGi05r/rJFNtRHRf91VWqQDnCq2AuCyXJkvKENs81wqT5RTG3r6i
IiEPwjwWoYX2OXLcxE1Yue0Jc+3CFTcccagqxw0a3ROfs9cZRmPw9Agld8mV9ZnMrFqUrExO
Y5qpK0myl5SgvB0ZmBbIVdBml/KoGx/XEAh+YNYoWsmBNgWGb4C/nHb9HvcjVSznrcIQ+BqW
RVJz2+2RiAX/EaAht0ZY4fT531J8gLcGydl3Ul2Kv4+xR7eGIF4HWP92z86xxZyy5E5eAy7w
evG/GHv3yVfqmAd26EmfvnV7R0afPR9W2yTD7IC33C7b/jsAAAD//wMAUEsDBBQABgAIAAAA
IQAekRq37wAAAE4CAAALAAgCX3JlbHMvLnJlbHMgogQCKKAAAgAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAArJLBasMwDEDvg/2D0b1R2sEYo04vY9DbGNkHCFtJTBPb2GrX/v082NgCXelh
R8vS05PQenOcRnXglF3wGpZVDYq9Cdb5XsNb+7x4AJWFvKUxeNZw4gyb5vZm/cojSSnKg4tZ
FYrPGgaR+IiYzcAT5SpE9uWnC2kiKc/UYySzo55xVdf3mH4zoJkx1dZqSFt7B6o9Rb6GHbrO
GX4KZj+xlzMtkI/C3rJdxFTqk7gyjWop9SwabDAvJZyRYqwKGvC80ep6o7+nxYmFLAmhCYkv
+3xmXBJa/ueK5hk/Nu8hWbRf4W8bnF1B8wEAAP//AwBQSwMEFAAGAAgAAAAhAI0d8YsWAQAA
qwMAABwACAF3b3JkL19yZWxzL2RvY3VtZW50LnhtbC5yZWxzIKIEASigAAEAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAArJNBTsMwEEX3SNwhmj1xUqBCqE43CKk7
BOEAjjNJDLEd2UMht8cqlKQirbrIcr7l/95I9mr9pdtoi84razikcQIRGmlLZWoOr/nj1R1E
noQpRWsNcujRwzq7vFg9YysoXPKN6nwUWozn0BB194x52aAWPrYdmnBSWacFhdHVrBPyXdTI
FkmyZG7cAdlBZ7QpObhNeQ1R3nd4TretKiXxwcoPjYYmEMwjUdjMh07haiQO+yQOXcCmFRaz
KlDf4lhgN5/Cp0fwWklnva0ollb/kqeI20I8OfuGkgbqkMWFMsfIyzkXp3AXB4Pd+BOmp7a/
ndOhsoZyUbQjj7/olMTNnBKfWLz8e4ejcC/CDr5Y9g0AAP//AwBQSwMEFAAGAAgAAAAhANGO
C89AAgAAxQYAABEAAAB3b3JkL2RvY3VtZW50LnhtbKSVTW/bMAyG7wP2HwzdE9vNR1OjSYE1
XdDDgKLZzoMiy7YQSxQkJW7260f5I87QoUiakyWRfPhKtKj7hzdZBnturAA1J/EwIgFXDFKh
8jn59fP7YEYC66hKaQmKz8mBW/Kw+PrlvkpSYDvJlQsQoWxSaTYnhXM6CUPLCi6pHUrBDFjI
3JCBDCHLBONhBSYNb6I4qkfaAOPWYr5HqvbUkhbH3s6jpYZWGOyB45AV1Dj+1jHke0WguUJj
BkZSh1OTh5Ka7U4PkKmpExtRCndAXDTtMDAnO6OSFjE4yvAhSSOj/XQR5py8TciyPcU6Y2h4
iRpA2ULo41HIz9LQWHSQ/Ueb2Muy86t0PL6ujsumIj3wHPltGWXZKP+YGEdnVMQjjhHnSPg3
Z6dEUqH6xJ86mpPDjSeXAW7eAaaWX4aYtIjQHmR/NSqdX1fllYGd7mniOtqz2h5Zvs1cwGr/
ltM/2F4nZl1QjVdZsuQ5V2DopkRFWPsAyxfUFQj8LSELbIIbSA/+q4MqwSaavs5JFN09jkdP
I9ItLXlGd6U7sTSRsPWtZ+2wZ6GrSNHBxygqMd/vFXyjbEvCU98nlR490RBiXm+2nLkX8x8F
tbJ8/QdNeAXi+M43tSopcDydjWYNXOc/qA92oL3PaFwLF3mBimeTWtIGnAPZW0ueoTG+jeIa
x2nKseXdRjM/zQDcyTTfuXpaK64SBqXFVasp441PvYyPycoIv7tSKP4iHEORo2m3zWaH9bA5
8bB/fxZ/AQAA//8DAFBLAwQUAAYACAAAACEAWwnJTwYyAAAAdAAAEwAAAHdvcmQvdmJhUHJv
amVjdC5iaW7sfAtYW8eZ6JyjB5J4WGAnJnacDAJjEQOWeBkTk+pIQoANRuZlkjo1QjqAbKGj
SIJiO07EwzVJc9286qZp2rWTuHXTdOM8mvim3RbTpHabx9I0ezftvbtxkm7j7XZ7fdP01ttH
fP9/zjkgEPjR9t5++90O/DP//POe+eeffx4603+ffebI0yveIfPMTURDPrpgJPokGqcAM2ZC
eCLDRxcuXFDJF/5q/lOZPwCkw7gVAWgBdAA45mkABgAjgAnAArAWIBMgC2CJzAIkGyAHYCnA
9QBXAVwNsBwgF+AagBUAKwGuBVgFcB1ABgAFyCMy/+SDWwBgBSgEWKPQb1DcCnCrAEoASgHW
AdgA7ABlAOUAqwEqAdYraaoV969mcdNKJPiLw1jUkTC4UbKbXIm5GjhGzWtGNixivI0//Tff
1jc4DeAJKtM6iZMIF0t0CWMgHId8inyJ/LuQUctV3eSwdtJPgiRG3NALfjJIBojI+uFyzQrC
c+qcwT64VHzVRHDSgfGQDsazf6wxQPk4V9UxuGQCIs+fO5XOws5AGY5jcrH5j9XFOXux+b+M
XP78R1lBiTz/Ubao8x/nsDr/URagXEIZgLKnmMjzH+f0QvMfZQT2JcoJlAE4/zcA1ADcCLAR
oJbg2kbIx5R8kPecAC4AN0AdwTEhpB6gAaARYBPAZoAmgGaALQAtAF6ArQCtAG0EeUnOsxPc
bQBdADcD3ALwcYDtALcCfAJgB0A3gA+gR0kXAHcnQC9AH0A/QFAJ2wVuCGAAIAwgKfTbFDcG
LnLtIMCQQhtW3D3g7gW4HWAfwB0AdwIkALirlVV9CEb/p4D+HPDHAd8H8LJBZg6Mcvb8wdeR
zR4DfALgecA5NpVUtlMZcIk+HP7Kk9kNn3t54633hl+uDcQ/yP8b90ONf3t2/d95fmzC0Zlj
MJPfVA4uuXfj5+u/8KvhExt+b37KTGSWRHZMZm95siOGjUP8okauWHPdbOVUmlr5txV/xl9c
c0Fu50mbBXHslDbzDKbQIHyjjKm152CO2IEfJZDbA8BLIZjbi0k0teMgJYxpRnYh72B9pO2W
+0M2sz2XPKgXLpzT40CkgYx4kI1McfYNPMvtEukTWGvwfajnQB7kghz5Fo/pg2PFLD0agzIG
hwHGlfTBsdmVm+dm60KVcDpeOpP+nFqoYszz/GhWGt4iOMrd47aZdBqlXDTYnQunM3OYbvFw
GwvnE3J9zZDnMFCwzl5lpVHLQxzlH8o49CMLq3SHgvNKu7FPJmem19yxkPPJYPmMHraw9mCq
c1gukfHF4qMfW8TPTOxZo8bHequ4Wq/5dDSnwf+QkgU6Kj05r4WNnObtxRbsyzEf/YDDRSOB
C5TSjZeBW0YMsLzhQgaG4bIU0QKOHWJG+hXm6RzJYHnicnelaRfHDaxelOUp4yggsM643Nrm
lwX0Xk5eshDHpfY4jgngWK9pxOfFx3zOynG0rO7YASMGAy7vuQqOjlXGtejYZJypBNWIJ+Wp
9mHDPDoajusC6iFlwAUHyxME1IULuMgdynUw+q3kA+2k4p4H90kGAfIOKeVB1EFdf5nVs/OG
tc8DuwkEbSezXcx2M7uO2R5m1zO7gdmNzN7E7M3MbmJ2M7O3MLuF2V5mb2V2K7PbmN3O7A5m
dzJ7G7O7mH0zs28BmyeCwGwns13MdjO7jtkeZtczu4HZjczexOzNzG5idjOztzC7hdleZm9l
diuz25jdzuwOZncyexuzu5h9M7NvQdvJ6uZkdXOyujlZ3Zysbk6PG/iiBtSvUh65r5SnpIzP
IxUAVfxqGHMORMkamQ/Y+FDAn4SWZ5B3HDhKDSgkgFrDfzQTfr887IAX8wVkI8TC8AI2qjry
CPNhHumQ8w2Q8x7gi8OQzy5wUcCo+Z2GPFxXl9UGgZ5QhBEKW8bRhDvyDBHi8WiwZzBORNrp
3LHFB4sfraWW9n5YEd2Sf3BADJvjlkyT6R6nL8bx99i3SNEBX4gvvaazPiT1+EJ53BNtEZ+f
C3l8hlBMzHjUFRV95rivJ3TV9d6oSAOiP+Qj+sZANvlSe3Qw01k3HDFIMXHZte3iQISEfHHR
LUaD/NBVBa7BWFwaaAruGXeN2TNNY8BGgz3UNxiXJBIRw9aiTJOHBGP9YjTTVJcbDtBEpm5p
pskLsUJBP/UMkrA/HpTCtImI8XbJJYW2kMEBq3N3py+UoDEqxGhb4r8awn1FnK4xHBf1fSOr
06Bt7uAAoSExLkSjPu1uK7+00xcN+tzhuCZzwDfMZ7rM0mA4zlmaIOu+TFOrePdKG3W0S9Ru
syW2ZWaZ9heSvxm7wSJYio9Ri5PjXRzn5rgn6jjOw3H1HNcAnkaO28RxmzmuCTzNHLeF41o4
zguerRzXynFtHNcOng6O6+S4bTD9wXMzx93CccIoFaboEwKfJzjzhNE8YSoPPBbBaRFGLcKU
BTz5gjNfGM0XpvLBUyA4C4TRAmGqADyrBedqYXS1MLUaPIWCs1AYLRSmCjudY/VThU753w7g
sTg6Pu2rpcQqRCKh0qB/1DdyR+k2KbrLcdeDYlw3Vjq6S7Du78kqSpjHQuRETIwOHRRP3T4V
fmV5CbWTDN/kl6QoDSZu+4whU2uisBHopR0u++RZa6zIYdSttAYni2h7vxj+ruGkcWziy2e0
QbqW2g9oInXDwfiXu77L+25tJL2Zpi3icJxeFzzSkcfvX/kORzZUry+pLKsSSElFpdtVwvTv
c8DXDlCK3gS3iZf5uR78X0AVmKj69wMfYQjiF9e//xhjJv+P9W21gL+cUfRtL+Lz9O1lMsbP
YGrtefIwLL17YbdZDUtPJdge2H1Wwq7UBTQ7hJXALrQclqJywATYfcqhGG89hNghpAJiVYJP
gDT7IK9qRtkAthMoVRDbCamqlbzKIKWL0QSWtgTsDZC6juVmg1A7pHGBizs7uV85DhdV1Eht
BIdWaauiRSf3PuKqRsqPzGrcuHPF+Jg+Nf6sJsnUBjaibD2YE1eNn+xXDea7EB3j/1Ga5Ezp
f4RBTVLtuGRul7PnfnJ8sVXF01E5gWvJNKwlfD+x7S2vdlZWA0dUlrjK7baSREW5u7xE2ADa
WLVnfYXdXQEjv15w7dtbDUO+ocLpqipxasuqyaYyj6sERthdUeLesB6G1m7z2KtcHn5f5ml1
WdrPliVJWZbuXnxZel1dlnJhWeKuze6GhYlElIVJGxw6lMMWJsNAcM+n3YlmUMICsEsMwS7R
fomOWsiYgU9QcOD4z47HxQ2eE/0WD3QInqfMlo9nOFdqoPwUjruUcQDciJKO4DmMfAK5A9S+
VlAAN8HMcrGTnMszK/6I8vEcqwMPysAEYK8evWjsixtUua+0/A6AXcrSAuZW+oEW+R3dbsU9
prj3gntomSz4USvP1cmuTYfa3HHQ16ZBQ/wBwDR/HfkaeRWostY3Dfrdm6DfKboheQPwBOt0
NW4B0GADqfg72cRHI9MpWaYRyNUaPqmcV+eUMzeft1PyYbuLNKz/BCsX622FDd/3yT/z3rRZ
rZKSHv5uVq8e/j6CWi1HPktwheWJL/Yk7O0Exwke69ENWvAZ0FRPAw211p8BfjOfzmKW29G2
V1DyLu90/JTXMO31rB53O8eYdLwd/G+B/zEof1qP5Z8ip/UyfVIv1/cE0sH062R3UivTp1l/
e6H9WZpsKE9HimNiJE6ygfo8LzieY/UzazD8ecA64s2x6C3x3vjuqmCb65O3tTZsqvL5unZ5
Ihs6w97ekOB4BmpYaxmO1YQo6eJx7xKDdO2sNRoSDImgjUPP85jrk7h7cPwtryOxmoBEyUc8
pnE6PgWrIqVyvzzJrwH6oEj9chjqNbF+aTAUwP5EmpWEOBoVQ1jHJ4EnCkiGhmO7plIIb+K7
qIynQ8gTUDvcDWRp4v1ym4xku39XMBz3+ftZzTA+xsA28xqMeWjZJBt33B0c1srje4jtGmI1
vnBYwvGYAPoLjG4lj/NAB8mOvjyi59aQL/OUbhym5GEeeVgHSx0ld7CdCeJaEFG+wVB8Nr3l
pkwTth/jy3Hk+HJaLfBIKBgWsR5fYvWgzGA98Kwd06yBtJSMAozzuBOq2eLagrHXAE1NR8lh
qN+j/ANkQIz64kG5vo9AnHG+FyqE5WE+ansp2QP5fQp2axMw5/LIQ5AyNCjWzqU7HQ/iLFPq
E9Egf93Pz41jJXdDH1FyO7RJA20SCTaXknsXiId0jMezeINxEfwHF4gX3i3Hw/4Sidzf9ywQ
zxKT42FfPkKwo3H+qvMYJ/khwwSnzvPjPM7XWRAcceAgNrxBuX+aeJzJMs8VEL0G+57XYHP+
nUksNWQnjzzYzdf0IF1HsOUqr6qhRFMflQYxHGnJIV08HlHeBOMTBojAGHl5NR+Ug3JsSrSa
1STEUug1GK6Zl4+WjYcB+F5PWuu8rYK3gPTDHF8DseT8AwC9kL8B+J6duDB5Xc0p8puX3UnF
fUtxzymuFfK/teB5YiIdsPUpEfrEcPwDA+5BZLqe+IbEuNQLNJBIr7LDHJRHBk6RS7w8z86k
YT27Yb6f5vEyyJ2xlPnlOn4P68nJUsQEbRFIs7QnGAr51lWW2ql1WzAckD4Zo1vaaVWp/UYa
HaqptJXaimi96N8lrSuzldlsdlsZ9QSjYq80vA4DFTl01ljFelXtzxwNzkqsx9WgjnyC9JpM
TEaopwpNoJ/JdXqJjYt8/tADfZ0NoTmaIW0C5PK3eTNrz7eUEw35hGINOcHXmFYteNohzxs8
JZmEfKdSTkkeyTAzCffX06r/26dVk/NOC+/V4IXmniwdkxcPIb+Dexzch2GcrTo8dTzL+B35
uVuPekL/jHzp0svuhOLiphjdw4of12l0cR1n+hDjm5/zK6Euv+TlK9HXgfJL/h3yC6jNea0c
Tsnvge9+y2byL3j5SpSSXM19rO4yr1o08pUoBWwNKdCgXC/UqKdpFo3Mf6sInqqhKomhBZAH
zoNCDZaZCZyLpaJOUKhZy8LkeJRQjQHSPkJQTqG/QGMmyNsBsoRcA6VbGY2CK9dHDsM4Sxgu
15Fq8ErywoVqg6zH2AyyHLaiHwxV3AmT7J4zoVzeQaRI1Dfki0WkeFTsCfqlodLYrnX9Pesr
1kYCPr8U7hWjYtgvlvqlAZk8sLvHF94l9fZJocAsdeeu/r6+/lhvINbbW1VVXhoW4yxAmeNR
NsdVidnDpKNcj7NKfWBfF3hhsX1dswQ7kpBoh71dJjF55eM44gHBFYxIfrJrRwU7ezOSN8N9
5rhX2iXSqMfnF7lNnT4aDfrCcXNTfbNB2NzCuVt6dop3+7Pzmgj1el1c/smrQ+6gVwoZ6wzH
Dd6oxN3s9kWHtMEwl49neH3jYtR8T6vbXXaX5X9pd7dKPSNkJOOQY3Rl2v6skZsmHC4pHIvz
dNzVHvWFY70Ejy/xkHCEe0aW2Imn12jXa5YfeLa1YSSnI0ZU6Z49sWwwGiWGVnHo98EYV5g4
pXtMI4xbJ1bTujavtejhgFs6GJ4KHarhDE6n05w92jTZEQ74ortP6jWNlpfymqUhMeD9gTh5
UzhREtq92dLQZGgb7CEP4wlmsbVoRJdmK5t0ejpIZalLGuiRnAZp2O7gw/GolAi1ByPt4jDM
yvQbE+ltkVAwbuUmzMXUgqvbhOC1kOVtYvz0c5zm/lqKm9v4IXHMNpHVOtJSXnQwU8cfrH0t
u7QuPBS0RaXwALkxM7uSDpdQO5ej+5xjSaKy6V5fjxiarPBFhAO+kZsozTS91qyvtMywHFF5
jqhMR1Su0/aKZIJxHT8wppNZziHzXL1uJ1GZjajc5hbjUzpLMR0p2dPd5Gwqdflzuq+nt/oK
XaGWvYXOVZSQzI9MCbKr1JX4XdrJ1T8rPdX0hy/obe+s7bEe+NjRu+6qPLJ+1b+XV/nSxKHA
gVpq00wuH7G39YtiPJZBLWfy/STTVBfOCNDJzpOZnsGwnxvd64t4PVZve94asZhGer/KtUSn
gt2u3pCv7wivfYDrLg2G4mK0MWxuGYzveFjji0ZrfKMDbVPHTXvzst3B0wO0d9ToHDQsETTa
TNOIJhIc6g31BO7RNPZSw9LD11EzHmda1lNvO/GVeoNDUtxDgmIoELNGejOKSsd0//L54ZDX
d0+fOKU5bAnFxNeMB+1vGxOWU8ZW6ZMnjPqy7xifMLqk0ODAinCuqfx6k8nUEAwUBo7kc47G
3hcKXKFJ0RcVQqHurYkb+ZhG55GitM5H/P006G2kjZ8Kv7F2qqQxLg4E9HeS/pM63uVqzeO7
yYENtSOctnTIB2rsexnfzNP2Zja6zO9kWrhSd/P7bxT8hj+QX0sLNKc4TnchsWoD/37a+xYf
X0loVkX6L+17tZ9fepLfEtl+fdp93G/2av47mTZYrfrjNvMGX+3er1WYlxblXrdVV0mmNaX3
d94b7wmd/IzHd3ztwFp93Y+K+/U2Sb/0xtr3pm+V9HR4+PjHb9NnH7rwim6r4XrD+ZUc/9Wc
nhyz5s4fbVzacLS+kruNvPTJyUb6YY947wGxfPDHO/PuvGbrne2tP9Sc6XuEf/rO7/P82FpC
LfJ2RpgsttC11GVutH7sic8l/NOFzz1WpmnR0tZcMRKyPfZPXfayohLH3tIznXfqiqb1ltL9
R26nG4Ol7bsj910be6fw61xLJKd5ufE3T9RaqL63NCoeHwzHukWnFNj9hnmfdtu10SB9VtJG
Vrp8oRMh5+5Hn9uuOZ4RE3Lq1x3Z+sjM+fMjJvn8GXVqlJCPgf9XVJacuHqcPV+yGkPYkkn+
MufPiiBf3PxnOn9OrpVs8LCA4yagxd3j4ymvI9D0jxONSjfOofMz9LnxtYvE1y9Cb5opF8+V
kIb59Y8bUvJHvH/cu2A903OO8ahcIV2Nq+KqP5mOBlUm9v6Dx/aPpuSL9QyODc/SlfNsfIWQ
UHrROt4zE344iVuCYz9ISecwzKZDk4TOmLU5Q6BYXroduZzcT2hQJSPkHh22Izi2J6VcvHJX
yw2O3T7b30o43rljONKCY3ekhOPV+Wz6REr+iGM41ic9x8qrE/pi9VfpaOSDSXkc0Cz0SGOl
YYLHEvrHu2fKV/kI7wT6x82L8GPWgnxkHc+YoVNFwqjhC5dv0Mjl44Z7bvmINzxomsmvKYmO
3WZeML8uzcVf+Qyz8IVeD1UDJL9GOqNKSMWYU7OD/E6z/NbmnODxcBXTIV3NQ42n4lbtLH/J
B+f3sAc8wbEXU+ZJgzb5FdW3UuYz4mp4es7VGjwcvVT5x/A4TTF5LGSclV80ljvTz6eVgZrW
yvz5FrgrjREOjwWCYz9fnE/Bv9IQ0WO8lYbcNOyX/vGcBfmne3w6pT1o6PgbM/Ru5WRfNQvN
65WGBh2Wt/h44wFsBvRPfCZfpCfjqh/d00ofosHXr9A/Gnl83kqd/7rk+fuTlHCDPjn8fyza
b2gc4zUz4fiCUa1Xw4PtM/Rk/qfjv5h9NaeMF+LoLtRP3eO/XPC1XPe4dWZ85tILU+hY7+7x
ghS6GaAhTXaT6Sg/usctC+a/2Hh1j+OGNDU+Hk+pV3lz6/khj/mk0v/3IvTzC9IX559jqMUA
H3+04PigX747nZ8Oa4zz8hkeDyMwnhpfxVU/ul5FtqNR5LbCd6+m8E130noXHFs2O7+S+UqR
XYgPp6EqNlsmGjxoVNMlG1WGXMyoeST7LxZfTfH29ck1uEKDd7v/Ou9VnvyajhkFZ34FNyfh
bIjmvMS7+Gs9a1J8WxKOS4SKOy6az+L5o3pUjc8VAUcRQxWc1ZPhl/+q0JyUFsXNTJ8k4edR
jF4in3MXiSO/tJTF3fyXh2bA30K68jpxUsGxXccUnILD7u2U+MOpZTEFRc0TH7nfi88SRwwc
5sOWgYSRCTkljgZP2xxJZeEp4KJthHzwotosx2f7EIOC41ig+FRfPJ7FUlJehIL4mUdfqA9x
mbxUnGmMA2Xhu9VJGdeyvkqiP5RETyTRI0n0riQ6qgkq3abQsS2oaiCdtV3Bsd/OoWgYMRiw
PuzcFHDM5y0Fxz6ZTIpzQsYzMM4xGTcj/bBCx7LwVBbj47BNIJ4wsqe5Sj/M4hAf69Cv5IPx
UWFT6dVJZeHNhhonN6kss4xrkc62mpcxX9TxPY/WFc/Z1Llwbn4+Cl+dTc1/dmcNcSjgeL+C
Y4Q/3nlIxjlsLyriiGO7hpPo/QuUhS978R0u5oPbFOVlL1eGdcMSYY5gWdOIJ80dtR9wq7UQ
n1Mk/Qn9c5E5SLASuRfNX5FpLI4i0+bHH5Hl5zkM/BPrg6+sJ3CRHpFfWeMLA8RRjuGrgsvN
B+dXNYsvtxFvENQ88RZKHS92HAI4/ojqzHw5D/EDgA/L9Fmemcs/7LV2v35WXuFtx59rjCwK
DzQgYe648NjdXkaX8S45TrLcZvRuJABuJvKPnhDHH4kNJ9EfUnBsy7Ek+gkFx3xOJ9Gnk/Az
SWnPIZ5UT7VPmC53pW3fL7fdlsqfs21U2l6dxJ8OGWf0hiTcmxSnK4nenYT3I660JSLjbH1k
xc/lDR55/t6L1U2Jc0zJE/OflOMn1X9ufOTD03J8bSE4Z1PjJ6+5WuRhJoxHDHqcI1TBMW21
jLNfFnTLOI+J+02zvBpB+hXwId5QLx5flrdmWdZxTLbIOPtRIlXoZnAcCh1xVLORTsHpVuhM
vM6Tk4vi0EasG3uvAPlg2ntZWnnusx/RKLLucFL+x1LbkiKTj8+Lg4bjctPle348UEX3NN5f
gosjgK5NcRsOLwuGxONZnYmeZjHeLwV4X/7EUpJbTMum84UYCe4RvaHBWFfauhXNGlsae1ZE
1HdFRH1YRNSXRdXe3lDiqK3w+EAoZKLiXYWP6GghtVD2WOmccajnwvEW7Q3vrbEVbs1ZtmYo
YttGtgwOtEtNYpzID9upf8mPxqLxI9K0JRjuK/6AvslJoXP8bVzBbd6qtK98L1u/ntRL7RK1
DcX6g/mcMBASN8aFkdveO/r8qSPcgG90+FHOxR6468ebpB++gg/cH9a8ZKNend1mc6z9in7N
oI5u/JXOInjNFmeHQFwCcQukTiAe8NQLpEEgjQLZBJ7NAmkSSLNAtoCnRSBegWwVSCt42gTS
LhBAOgG2CaRLIDcL5BbwCBaDUGYQnAaho9Ug9BiEqEEYBc/9BuFRg/CMQZgCzxsG4V2D8IFB
4I1CR45RsBiFMqPgBE+rUegxClGjMGoU/uF+o/CoUXjG6Hwv+xnjDU5A5H/PmP3G9GtqqVWI
nHlRW+p/9072tH2Dd1KMHy2Y/nZipWBdfjR368OPrfQerhGjQx+K9ChnLbv2dzr7C7++9pMN
RWRVp8b/7JoH+NtW18QzTe/XVhzms5+Ovlj2fuXTDnvJi9bg4fyPHjNt/U5k832Npzz2xrNV
U9+rTLS8fzbNW+sPZprO1hVqz3BfcLx027TzyA9HSDGV3OZdO1obzjmapT3c5O+VNx7k0LNE
fedB1IceRH3pQdSnHkR960HUxx55XMSSaaK8oUkkfSK7iCzl20gWXowFINqg/OMIbabJyLMr
WuKnbYM9NIlpibVNGoz6RY8Bn7NdRdviUYJMRYWKrvs3GZe0RLgWX4iMEflid9eOw23isBQ3
VBRxu7opdQcHuFpuY2NFOE4eiZIva66q7Bq3FnHLnbvjIrdMw2lIP62lnqg4xgsjhpaIGKYT
mxJ4qeUMhhOR10ZW5ZPckZxWka8gRcRGgWubWjyj1kRGEcUfGbjvp+SLcTpyVTElvWOJHN7k
CkkxkU/fyuW5fKG7+vwJm++wPxi2Ctzy4oPxllGasGdvI+mb6NJ270eD17o1P3aIp3Y27CS9
L3187HtrDmid0d2DsVPtZ4qpXwok7jnZqIn+z8lioeYkGd0cG9Pd5fu+jm9yfEKI0SYpzPft
z3D6Yv3Nvl+Ey04um9aVn9JxOe70Jyra0yvf1FV9Xydoi/6Vy6+lDs7qqpws0+77WJ29waSt
qdNO9jtqXJI2PKRdUkyHejyTUWmgIxwUlo6na7gN+upa2uGUBg3hgPXVbUV0Lf0tpKsky3WZ
I7qXyeidA67NFQnD6FGrZ/nLR+n7pz87Jo1Dvyf0zTf2abK6DncfXXnUVEGbpU8EHGvGaujq
yRX0yCjNPoq/wzigu6mWjvzUWMV+gTE59gLROcjjfDkxO4asa/T8Op2+sojeQO2322x8xohe
Z3ToX9ZVftqh7U0rHyksoutG9Y2FVkqPPNDYKxRuyRWH41t2GHY0S0NElG9hrdHYSdIu5fFc
3XdXFU/RKV4I+/ud+Z7P8T3dj0fFlqjQOxwXo+/rHMv5B0+2B0eIuSVM66JRR9qyeunMgfDh
7I5MU6WvOti9oilfyMsKeIkYHfCFxXC8IrR7slA66pY0bXGtGLHU4U97BoksB6mF+GKWYlqV
adI47A3fiPvigzFavfEm6vimaJ/MLm3V+oL0waGelp6dBtEf1yxbS6tsDnsxtZTbqdGy0V7h
+M4p67/VcmspdeXTbg5/kPLO32W+a3p3ZU2m6fHSn/EaPfdzm3z/P3P/96R27v3fs+Bfohyl
4hJz9vwrL2PIX+///kwmuVazhuNwc4fhuLFDVz2/BQFH8F7DrNQ+mY73ICpdvQcJkO0E71VU
OlOmCX6FwM38qArMNysN3czFexo13dz7G/Mi9O6U8tHgfZxKP68SFf/C5Z9hLt5bVSvx1Pgq
rvqT6WiS763w3u5y0rP7ByU0+d4O/bjhQFc9H0XFbPb8dA+P9U8On5wTfvtMuHpvd2ZO+B0p
4VjubHgiJX/E1XC8HzWr4Up/383L98bz6fi0Fu9jr7Q/l7IQuT/R369MdjXN/PhXaubncen8
5PhvJ1fgSk3yb33MCmZTLqontWpHcJZFf/OjvA0rB92E1YnrexYGBbVyjthu4HnYbkWW6Rs0
ZJQngfe0+HDwWuKNSjtBVOu2EitsLPhlen5Z7dd5Uxof4pYZ9DlGPifx2gtX3aInGfymnI28
6WrCRWPxgFkKiTfx18Twwx4BIuFvZLwkE3bIqz9BNDeQ7fV7bTbQm45XlNtKiEGrdRGThs/i
cmy2iqp9+aSs1JZvy3fVkO2KAka2t+2ObWvZVqWt2K4Ry0rjoR6yw0b02h7QuKLiXf9sg9q2
ipGQzy/2ZtlIBomKsYgUjrHHJO0v2YiJgF4Scu6G7hC/dtIGc6dT2Te8+d8gVCvEVN3rFYit
I7CYhkKd/whlkKGehmBAfHGbjaRr2XonL3fLglCO1j8YjcLCyNbelSJWyc+idNXZiFaLmv6T
d2J++GPOIP0D5udnz97C2xFvwqdfZQeLsULtsJg7pWH7l9sgKWkDzfG1n2LVFFUQNMHgPswU
dMBN7qM2skTrDcZEf/8u3w6m/Yl3P24jGgz+ZoQhlV1nECGguvmfspHs2fh+0El9oJ79/A5s
VAwr3y7hM7lv5M0QUG2Qop/lbCRT6WZUHUBz+O0kNEgbhtp2eJZiI9rYSn//WiwL9Ajpbmxw
qw8Ky/0QUhO24gMXYVjU9EUbyZqtCVP7zv9K7rgAqNShf4G+gOEAlRc03sovYH1UX5MYzjmN
XQJlR304lGX/8docf/lv5/orfjfXX/n7uf6qP7yGrAPZu6Tw0PAauboeWSXECtm+bSNLx0Ei
aTQz7yh37cCXk+zh5CsPwDikBNc3C5tbSj4DXZ4S1AQhXq9r3fcXSsfeV3ZCn2alBOHDyvQu
6IyUkLL1o8CIqQkaHv7mghnVtXm/vmOhELcUFvmXF6o0hjidzvMnFiq/YgOUb04hyyz564/b
SE5KmMp+zf+0UC8wlvgv0AsGFsQR5efv8Z0/grHSghwDMVbmz571lAey1dgaIu8LwlV5vhRa
2apUWiVNpVVcn0orvw5oPErfcUX6XrjwMZ4Dlhd4fFFwPUQ1klx2ebmCxyv+a3m8cL2O14JN
efzYWD4vf+bkyowBSrlwwaQsZrOGYzdB+O7+z2hA5pIOEiMiiYK9ndgBBBKBPzfxgTj3gb+J
fZ8Hv9mznbRDzAEI3c5+jVgHbjNpIx7luz4xUgrhw7AG5AMd9b0ohMQAetmX22bjUVIGcW3g
tpAeshNS+VmMJkjVA3F8877vxpH8lqY6KgzGE5L8jph0awg/Vid/FkEHSMLFPi20NeHJIjSR
bUxwN2Rsd2lyTPpv3nrVLbDAjeW19PYG/dnjfS2kN4HVu2q07/HE9Q+P5tXvLSNuT7XbVuEq
IZVOj1Bit9kdzhKnu64y0SfsFBJiRUJXNtGXeLGPRH0DFMUziVHrcHVV0XaHSxoYkMIaI/RG
0B+VYhI0l7b1+6Ii6LYtHk+jq85OqrY3t7WUupsymvIPmMe81F5VarbRlp6Rn9GmYHdPFCYJ
WZMgV2fze5rbPA5X7CYympXQsv7VuhtipNwBPDEquklFZVldnb2kbsJW7RmxCyXVsH6U2Mqq
bNWuCuq2OZ0Vnxc9zaEyW9Ma5yrqiL5auO5DciOx2CfJS2Oj+/jEWAb33TGbbV++bWrsYP5k
RoJ8qdJGvpQw6hOTRMitWF++wT7/9/+Ci1RVlDgFoczWXVVuK68Wcj2PAOuI0dh2+3bgmYjb
F/dtB2bx+0Lb28WB7sj2TmedwzdVWTosDgcaev6hJkET+KOHuszPnFlh3p8o5bvvaU5/jjtr
WcK/pyVLp7iz5/lrpl5r7w/G3MBzTArUE1PuZFa7Y4T89RuJ/z+bv8dPhVnciZ1+Mjj5tEie
CDv+ccXr6WU/Sb+22wjaasOjxP7u8CuGLkKus3AjfPG75oPLXrdYtGsfJdcQTd4Z4umorOdv
95DD+CHDFfv5sgm++an0I460r6c/8NFj6da0R9PFjJH72BpzTLTXB9qlxIHB0QPP289kGrRl
Zq205D8St28dWFKyOu+5rPKnssqPPsEc8lTWVY6vFn0965WXv5pltpgXrD/RFhBDhjlDPiaQ
v1GIn0LYdT0h7+Adm2I0re+l3/eZ17O/+B55gmw+sZV7FY/g3U6O6Nt9/SD85LMHdvq+n2vF
txy/5tiDCPYmpowoLzfIVbK2aZdP572Ep6jU43cRE9HBcCAUKi8rFYdFCrRfGAnZi2cWsJer
JHJmR8F9FWhqoRiG6dMgrD8ej9SsW3cZ6dZB2DKWDjeVa8k3si6d5htZhLcSjnMksBkrGxLF
Zojzp39/kuPUsWBX6wuYi31/s3eRNJdrtOw7FUn8cBnGD/ArpRbSRWNe2mD5ePmC38e83PJF
gGKlfPw5oMTWfnnFvlKTo7Qf+f5yy48Q+buTaF71PYWVuHANbGHxcuk97ezwwNwARauYg60m
qSd7Qa/AvzKACtBRPKREoeCXSmYxVwot+a+CVMH0zAe3FHLKJxsAXExf8jKtpo9pKQNMqwmy
r0KgVmMF7acaUhZBPLm/Bv4Pe1cD3MRxhc8/JMXBxiZ2A6RTVAdCoJZ6dzr94SiNdJawExsL
21jEGIpsnW2BkIRPjgWGxAllEmioSfmZMoVAm8Ez/QEcOoECGQo0TAokbSaFgstfJyklySQE
AglkSq2+t3snnYwTatPpTGe68ul23+3v23d7795bfYbvUEou1Jlu1Y2q4XUZtR6J2MMo1oN6
tkAfUDOjOhemSkBTKoce1RIExTainengqg9SWLeqa+kUbS5IqKjRBUh/5BQ+f2MAztkYRH+5
E85ZoZ8WOLOD5txA/AGdDT5IlyCHNoW4MlQP9QK9CnhjgHM5cGNgLdRLOOOHGJYcjBbKMK8x
A8mYsR9/BsspqgtrOeWFHoSILaWdSEw19EMm4/NCGQEoaGxRbC2kfBRiDVAeR+4i894GNJTA
5KxrwygyEjEFk3MgGlGelTJCQk5AXYbZs8I3jgJxf0zAbze0qidoPxykEAuoBPqiSpEDPnTU
gkLnE6O3DklO7uQOq4T8bqYM6nBpJKhSc2/dTgqHIj/nNPKDKEnIAxfpgR6+WYK/pHIQeWlV
ciAHeWgNc4iEfyxw1wmxocqPG8aH0vvV472TNzYmIS0CrANGWFHgpQL6byHSgqPBESIPSogE
Ic4U9o1iSDlI78zk3kIUK5Scgcf6v/H+Clqe+uKjvPeQZzKTDs8xfH7h3r8cePXPhfMoOPIh
/nU4qIlBtTozDLW/ajWJZEADhDYkTQjUDIGGBRqwP/3D+zcymdFfisqbD6Mtg7nyAY9NMEac
kUZi5PjyMvE4QjGTgBrfsa9hh+5SoMSxQgQdUys0khRaWdQc8TgiyWEgKJ8/JebvnBQkJo5U
YxygmkfT++eMx/GHgRhYrO4L3a3VGUl1U1Kqw+U1Hv9mRv+c8Tj6GTFEsLoCsrPck46esdW3
GG/+H5BJalz11KgB5+PWEv+dgKJ1+1yDDxlf+DafOfiM2LPl8K43uw4+gjS86xzFI5d83187
dWPGwr53xhzRqXTp1e4lw9/Y697w4MbXljcV96h0PLPKORfOO8SmP1xZspuUQ+Ej12EMRe81
n7n8lqFs65LuvB/+7syn2vIolZ1EVNemvchkpB2YAmtPpjfc6q/m0HVQ63Rcfxet/N5AiDN3
5SpRI39CjZoFdx7mrPA1/noneiWgiHnbA0rMsv0BtM4q3iP9dvQSyFF/OCitmQtxaBotq9RU
d/5UkkLscVJBGxRWKBXVbsgliyPR2ULtQNQM9PBLLDNcyfQ9F/7A2heVRvei84AAlUakUO9k
dCu4CVDpzEZ0JJSrcKRtC3xulknLlOflYgkFc3TRivXo7Vjgi5EU2Yx18SJ6Y9B98xMbugoC
1H1z/DmWyWNw7xJxlqibelyFOFRS0GG0YguBucgyZobokyVTFrLMPcM0dnXSeM015KFLIuER
EVZ2s8yoZDrha3h/XYrnhDgZngizTG6SpngXDDkpOYlb4eBVHJoyI4jcEAitryUkNRu6GN6Z
ix2rCjfgp2daSsf456FjBWoVFMVBBXG4lI3sTVZVujwPHVQi9Y5VSU8GZMjVOi61QVe1J9qS
QkJPw5G3UsakOB9i0MJwmEBlR1WBDjNRZAd1d0pwUTYPmRiK4RCOcRNBtHIgiUAOCo5D1HqS
uPcQx2HVJPQUEsgGiXqobqyEYTCI1YBQDVBlnynhpeNWFeH8i74IDjg3hmKxuNxZPiaCXMKe
0A04rbvwJkDMg3UgMOmZnpo9c/AcafrlHMxZ2RqAihH9YO9GHINbQT9A8AOk/ujH6KrTUn0o
jLbNOP4mQna2Ne0WMEmQEPyQHGlD55unxtdxGEdAMRAIBEL+WCTQRslUFbQjAfEQmiWS5Wgh
ukdjwapwO0nPWoFesFiQ4CGECGmtFx2UsWBpwO+XQkd/AXPLiEEKiUB7Kv8dlwMm4Cnr3IzV
kR4gIIL8rI7cNp4yHNymJch9Aofwt8eRXkaLj21GOomvrSP+W83QJ0/HnLUgQg1BadefgJlM
LHZBtRvJEsjXwjZJjpZKPr/UejublSNtGFn60I6UkZb+b9m6BsL/J9uJkrY2fCVCWxtuVkhT
bW1IgPAe2Q4/nuSFfJ1or8NLArYKeVGMOguS+S6kkV92daq70zOY+xLe4dl5DFNJ2r7MXBhO
/s1JJ5oQsd1MZgxzCNKJGwBoxdkMg2VUR0TUMLOivLSmxkPBuRz+sL/BIEfhJqigFBk93wbi
r6ZLHSV75cbWQCRqIJcpCVaCRkmWaWKqVEMjNVKFUnfNoohEY7ga01h7ayCqELUueqVpCgQT
CCo56huDcjjsa2wxNEl+Gdb63DRkGE4W6sh98YwEKE5qGMNoBqwjTxAdb2BJjOzYci1okECU
/Tp635NC12w7F2or0T68E4FeOg+zWOuqqi6rnKYzGVg2O8spNQdCug7RzDvMNjer58wlop7j
RJfe5rJZ9SzrcLCsySI4BPdSHTwBdAR/T1lMKLoeBDschYhrhh1FFB/ME8Rbt1QKNLdE1TxG
1shqLpZLTeQSvcjx2ms14YimcsGkveYN+KMtmmtmerE66muNzoh4wnKA9I5UqtNNFKGI1FrZ
HkLcb6Dh/JaFmsK1UqumcbLNNRuBp4lkomyiuRd3ho+CE0voILXah/lX/DMj4JWi/cOU0gcm
1bszyBubW7EJoGVycGFUP1fs7Usw0BbDjFNelVJRV9vJ/7cZTMhn0snPZAbTfjtDbbAYhob6
mgxDwZ/FN1gb3n7/oTDY9lNCEvpX2QUwACTveN8bH187uy89/6N7/3Llg3WHn9p3vq+l/ULl
5vMzy0rshR2saDNzTp7Xu9yCoBdMVkHvdLNGvdPJuh0iy9vMJstSRKZXBNWuldrvPFjKKiE7
y+NrnA9PVHuHQ7S5ebeN1busFouyBLjN/ZYAWDBAHxSDPlm2g4RnZ9Eh2BUJ75c2ZmfhZhV7
oaJ7QYdKpWAEFRt4KuBAWCDBbYhKFiz+EVi34VFp5O2FRpuR53noIWQQK6baC60uq2gqKRHM
xhLB5Sixag8cqMdpL+RsnFN0uNyikx5AnyraCx2Cw2yxuHmrzSJaHXhYcTdZdtas0rAc1bli
UdDNYC3ANWF2dlaCO5y9w2g18iVmgdWLyBlgiltvdQlGZApMAccBYxxLi2udrmItT6FmomFH
QPuFCrW8t5v4Ih0enIk1F+nMLFcESyqw0s4W6RJ/YpGON9ODM3NCkc7CQT5RZS9nt1iBZsVa
jFCXmbdgLQrT7Rxvgiv4ZbZZsQ2I1WVn/eCfB07Pf376pBHXdnxSv/jUihuuy92X3l5z4DNx
xupvDT95vePxup9PPfpCvbn3zzNn9CwwbOme/NR3V+6aJi6a9sqzeybsfaTrN5uu13qFNRd3
zH7lalXws+CaifUnzz72+88vHTJ80Lel3n4ia39WrO50V7Br8YhXR3/Y83nGxSnGty+NXDZi
TO/yl5r953RXV705zv/Mi8OWFQk7Pcdymk9tmbBtjm/WhpfXfxJ74tN7J+0fcePu6d7MRQdM
Zfu23vPx4WLHb5dvbXvhyP2/aq7yDIvPnFfH3uzebZp398snDVc2WD58zNtYt2d/00M9h+ae
m3Ni3cLT755//Wfjlm10Fof+WHT/kzcrZ/91wrqeY/NjOfn33fWPPYfPbFk68fg90Svfrv/I
2LutZ7yrq+Dhpx+61nG892bB8qsX+Kh3jcl55PXKemFDcYtxoVm21G33PlL33NPXq1v6Np1F
5WkId3xK+JcAAAAA//8DAFBLAwQUAAYACAAAACEACBRg778AAAAVAQAAHgAAAHdvcmQvX3Jl
bHMvdmJhUHJvamVjdC5iaW4ucmVsc2zPPWsDMQwG4L3Q/2C093TpUEo5X5ZSyFqS7qqtuzM5
W8Yy+fj3MXRpaEfpRQ+vhu0lrubERYMkC5uuB8PJiQ9ptnDYfzy9gtFKydMqiS1cWWE7Pj4M
n7xSbUe6hKymKUktLLXmN0R1C0fSTjKnlkxSItU2lhkzuSPNjM99/4LltwHjnWl23kLZ+Q2Y
/TXzHzsGV0Rlqp2TiDJNwf2n4lmK//qmd6rUJCozVwunn0XXygGOA949M94AAAD//wMAUEsD
BBQABgAIAAAAIQBUtmO7TQYAAMIaAAAVAAAAd29yZC90aGVtZS90aGVtZTEueG1s7FndittG
FL4v9B2E7h3LtuSfJd5gy3bTZjcJ2U1KLsfSWJp4pDGa8e6aEAibq960FNLSiwba3vSilC40
paE09BWcZ1hIaNOH6MzIsjX2uJt0HQglNljz850z35wz841kXbx0FGHjACYUkbhpli5YpgFj
j/goDprmzf1eoW4alIHYB5jEsGlOIDUvbb//3kWwxUIYQYPbx3QLNM2QsdFWsUg93gzoBTKC
Me8bkCQCjFeToOgn4JD7jXCxbFnVYgRQbBoxiLjb6XfTX6a/T0+Ma4MB8qC5nfnvYv4TMyoa
PJzsCe8wM/r22fH0ZPp0+nh68uw+Lz/l18+krT8siQudUBcnxgHATZMP7ZPDfXjETAMDynhH
07TkxyxuXyzOjTBbY5uz68nPzG5m4A/L0i4J+nND23bsamvuXwIwW8V1a91qtzr3JwHA8/jM
Uy55rNNutDvODJsDpUWN706tUykp+Jz/ygq+5YivgpegtGiv4Hs9dxHDHCgtOpqY1MqureAl
KC1WV/A1q9WxawpegkKM4uEK2nKqFTeb7RwyIPiyFt5w7F6tPIMvUMXcakvtY/aqay8Cd0jS
4wYy2YCh2GCTERwAj9u5AKN+gowdFIR8IY5ATChvtspWz6rwX/G1ZUlGCGxBkLNOmzy60iT4
GdRL0Ig1zY+4VzMHef7kyenx49PjX08fPDg9/mk29qrdZRAHebuX33/+96P7xl8/f/Py4Rd6
PM3jX/z4yYvf/vg390yh9eXJi8cnz7/69M8fHmrgrQT08/B9FEFqXIWHxg0S8QlqBoD95PUs
9kOA8hatOKAgBsJGg+6yUEFfnQAMNLg2VON4K+HyoQN+ML6jEN4LkzFDGuCVMFKAu4TgNkm0
c7oixspHYRwH+sGTcR53A4AD3djuUpa74xHfB0jn0g2hQvM65ikHAYwhM0QfGUKoMbuNkBLX
XeQlhJIBM24jow2QNiT7qK+spoXRZRTxvEx0BHm+ldjs3jLaBOvcd+CBiuR7A2CdS4iVMH4A
xgxEWsYgwnnkDmChjuTeJPGUgFPGMx1ATIyuDynV2VxLJgrdK1xm9GnfxZNIRSYMDXXIHUBI
HtkhQzcE0UjLGcVhHvshHfIlCozrhGlJEHWHiDrPA4jXpvsWgkq6z97bN7kM6ReI6Bknui0B
ibofJ3gAoHReXNL1CMVnivySvDtvTt65iD7/+pFeczcg6XrgecS8lSDtblqW8HW4ZeF2SeKj
t1+3O2AcX4d8q2ig72T7nWz/72V73X7evFgv9Fne2Ge379JN9Mr38gOE8R6bYLhDpdJTPl2/
xxtlRTqZP0qMQl6cDa/gggTIspEQ9jFi4V4IRnzYkhwhoDPXATVGhPKzQjZrfYsOPI52iZ+2
lkrZ0ys3AGzRzs+arJ2fTCxtrdYWj2lz97IWyMfrjICwfR0SucFUEhUNiVrWeAYJObONsGho
WNSF+7Us5GWWFb4fDSD+C3HslBFffwBDX+Qptc+yu/FMrwumOu2yZnoNwXUzmVZI5JabSiK3
DEPgw+XmDee6sUipQk+EYpVGrf4mci1EZUkbcKzWjEO+5yoOd+OBUdMc8LtEXoxG3B8VOgpw
EDdNj80C/V+UZZRQ1gE0TGGyK51/hBhMDIwivtbzacDxglupXBNzfEvJNay3L3Lykk8yHAyg
x9a0LKq8L3Wi7T0nWFTImJPeC/1Do4/HyQ3AA+XUSiKAPqJsHk0fJbnFvYjiklzNtqLyr9pi
iwI8CsHsRMmLeQqX5Tmd3Dwk0+VZqfXZZPqBSNK5T92zjURHTjTXHCDi1NTrx5s75HOsFrqv
sEqle1nrGpnWrTslzn8g5KgtBlOoCcYaaotWldoGbwhyw82X5rozYtOnwfKqFQdEdp8payuv
M0j/Dl/5HX77OsaMSqrwiD8zuNkfz6kSyNZMXY6YMU5Q07xrOS3bLTtuwao73YJdsa1C3WlV
Ci3HqZS6TsnqtMv3eFBYGJWcdOwef77Bk9kLG9m+8tImym67L3gkKhL5LqYojeVLm1JZeWmT
vqsx9kW/aSAembvVcq9RabSrhUal1SvYnXa90HCr7UKn6tY6vY7r1Bu9e6ZxIMF2q+La1W69
UC25bsGuWoJ+vVGo2eVyy6616l27dW8Waz7z7JqFV/La/gcAAP//AwBQSwMEFAAGAAgAAAAh
ACYMZPsMAgAAzgYAABAAAAB3b3JkL3ZiYURhdGEueG1srJXbjtowFEXfK/UfIr+Ty2hAVTRh
1ELoUBUygvABxjHEnfgi2yHw93VuhGoqGoY+xUl81t7x9nGeno80sw5YKsJZADzbBRZmiCeE
7QOwiWeDL8BSGrIEZpzhAJywAs/jz5+eCob9wxaucyGmUEPLcJjyC4ECkGotfMdRKMUUKpsS
JLniO20jTh2+2xGEnYLLxHlwPbcaCckRVsqITiA7QAUaHDr2oyUSFqa4BD46KIVS42PLoO8d
cYGZebnjkkJtbuXeoVC+5WJgmAJqsiUZ0SeDc0cthgcgl8xvEIOzjbLEr200l7ZC9tGtS6Yc
5RQzXSk6EmfGA2cqJeK8FPSjNPMybSGHax9xoFk7rxDe4305TutEOmAf+02MNKudXyd6bo9E
SsS5oo+FPzVbJxQS1gl/aGkuFtcb3gZ4eAcYKXwbYtggHHWiXWsUYn9fyt8lz0VHI/fR5uzt
zCrPmhtYzW653MHqPjPrFArTyhT58z3jEm4z48hkb5n4rCoBq+wSMK5OQooSdR5Z1RUasSWk
pup1Ff0IJ7Edv8zX02iyWYTL2P66iaPoNVyCajarJ0r+CyNtxylRbRPbMNe83Kj1xG3IkDwJ
HQDXrZ8gakIcjoDzT/1FNN38DD37WziLVuHfhBc8yTPs2VtsegL/P8XZfP0Srq4pzohKseyh
6HTLXQ0v/kHj3wAAAP//AwBQSwMEFAAGAAgAAAAhAIP4EHTEAwAA4wkAABEAAAB3b3JkL3Nl
dHRpbmdzLnhtbJxW3XKrNhC+70zfgeG6jkH82NDjnLHB7kknaTtxzgMIkG1NEGIkYcft9N27
AhTsE9rx6ZXFfrvf/mh35U+f31hpHYmQlFcL271zbItUOS9otV/YX182k7ltSYWrApe8Igv7
TKT9+f7HHz6dYkmUAjVpAUUlY5Yv7INSdTydyvxAGJZ3vCYVgDsuGFbwKfZThsVrU09yzmqs
aEZLqs5T5Dih3dPwhd2IKu4pJozmgku+U9ok5rsdzUn/YyzELX47k5TnDSOVaj1OBSkhBl7J
A62lYWP/lw3AgyE5/lcSR1YavZPr3JDuiYvi3eKW8LRBLXhOpIQLYqUJkFaDY/8D0bvvO/Dd
p9hSgbnrtKfLyIPvI0AfCEJJvo8i6Cmm8szImyGS5S0l6aBHmgksuobr68Hy+GFfcYGzEsKB
uliQmtVGZ99Dl//JObNOcU1EDlcNI+I49lQDBdnhplQvONsqXoPKEUMkM2fewfkBC5wrIrY1
zuEWEl4pwUujV/DfuEpgCgRcUm/RzsRw2nbzBRYVZhDb1cw88QIG4BQ3gt5eRG3QeneRdjm9
9AkboJDm8My5MrqOkzoOms26IDU6IE6EQj8dRTbubO2PISjyI2/UJnCgz4JRxHWS1SgyC4NZ
NIpEvhNF4SgSeqHbX9O3SDgb9xMlvrf2xpBl4i/TaBRZu7Ok75ZrZJV4gbcaQ/691inkikYr
mnrOfDaaaeohbz7Kto5m6dodQzY+CtBodTYBStaj1dmsoKRJ31N9J7FYb8Q/hDltYAAs1lkk
mGWCYutJ78yp1sjE64pWBs8IzC65RLZNZsDJpAMkw2W5gSEzQFtqFhdU1inZtefyCYv9wNtr
iFEpDPSv71x62In4RfCm7tCTwPVDVZAhCdf3e0taqUfKjFw22dZYVbBtLqCmKn4/irZOQ3lO
sYK5Jbo+j7id91ZXNJPnr12x81Js9WyTJ1zX3UrI9u7CLun+oFw91Qq+Cnha249sj3oMtRjq
sPYD5zoz0O4PgwwZ2YWeZ2TeIPONzB9kgZEFgyw0slDLDmfYoCWtXmFbmaOW73hZ8hMpvgz4
B1FXBHnANUm7pQvtxTtBv4WldYzJG6xnUlAF/1hqWjD8prc1agej1y7xmTfqSldjWrm+Ziiw
wmDeXtWVcdvi38SiH4OcQjtuzywbdvxPXeAllbDLa3gOFBcG+7nF3KB9J9QLdPErXOwz2a2w
JEWPFTx/KPR71Nn8FYXz5TJ0V5M1QsnET1w0mTtoM3E2czdarlc+Wod/91No/p3d/wMAAP//
AwBQSwMEFAAGAAgAAAAhACEYr1lrAQAAxQIAABAACAFkb2NQcm9wcy9hcHAueG1sIKIEASig
AAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAnFJNT8MwDL0j8R+q
3rd0HCY0eUFoCHHgY9IKnKPEbSPSJEqyif17nBVKEZzIye/Zfnl2AlfvvSkOGKJ2dl0u5lVZ
oJVOaduuy+f6dnZZFjEJq4RxFtflEWN5xc/PYBucx5A0xoIkbFyXXUp+xViUHfYiziltKdO4
0ItEMLTMNY2WeOPkvkeb2EVVLRm+J7QK1cyPguWguDqk/4oqJ7O/+FIfPelxqLH3RiTkj7nT
zJVLPbCRhdolYWrdI6+IHgFsRYuRL4ANAby6oGKuGQLYdCIImWh/mZwguPbeaCkS7ZU/aBlc
dE0qnk5mi9wNbFoCNMAO5T7odMxSUwj32uLpgiEgV0G0QfjuRE4Q7KQwuKHReSNMRGDfBGxc
74UlOTZGpPcWn33tbvIWPlt+kpMRX3Xqdl7IwcufPOyIRUXuRwMjAXf0GMFkdeq1Laqvmt+J
vL6X4VfyxXJe0Tnt64ujqcfvwj8AAAD//wMAUEsDBBQABgAIAAAAIQC9wZE3KQsAAC9wAAAP
AAAAd29yZC9zdHlsZXMueG1svJ1dc9u6EYbvO9P/wNFVe+HI8mfiOcoZ24lrT+Mcn8huriES
klCDhMqP2OqvLwBSEuUlKC649ZUtUfsAxIsXwIKk9Nvvr7EMfvE0EyoZD0YfDgcBT0IViWQ+
Hjw93hx8HARZzpKISZXw8WDFs8Hvn//6l99eLrJ8JXkWaECSXcTheLDI8+XFcJiFCx6z7INa
8kQfnKk0Zrl+mc6HMUufi+VBqOIly8VUSJGvhkeHh2eDCpN2oajZTIT8iwqLmCe5jR+mXGqi
SrKFWGZr2ksX2otKo2WqQp5l+qRjWfJiJpINZnQCQLEIU5WpWf5Bn0xVI4vS4aND+18st4BT
HOAIAM4yjkOcVohhtor56yCIw4u7eaJSNpWapE8p0LUKLHjwWasZqfALn7FC5pl5mT6k1cvq
lf1zo5I8C14uWBYK8ahroVGx0NTbyyQTA32Esyy/zARrPLgw/zQeCbO89vaViMRgaErM/qsP
/mJyPDg6Wr9zbWqw855kyXz9Xloc/Hiq12Q84MnB08S8NdXc8YClB5NLEzisTqz8Wzvd5dtX
tuAlC4Uth81yrjvq6OzQQKUwvjg6/bR+8aMwLcyKXFWFWED5d4MdghbX/Vf35klpKn2Uz76p
8JlHk1wfGA9sWfrNp7uHVKhUG2c8+GTL1G9OeCxuRRTxpPbBZCEi/nPBk6eMR9v3/7yxnb96
I1RFov8/Ph/ZXiCz6OtryJfGSvpowowm302ANJ8uxLZwG/6fNWxUKdEUv+DMjCfB6C3CVh+F
ODIRWe1sm5nFm3O3n0IVdPxeBZ28V0Gn71XQ2XsVdP5eBX18r4Is5v9ZkEgi/loaERYDqPs4
DjeiOQ6zoTkOL6E5DqugOQ4noDmOjo7mOPoxmuPopghOrkJXL6x19mNHb2/n7p8j/Lj7pwQ/
7v4ZwI+7f8D34+4f3/24+4dzP+7+0duPu3+wxnPLpVZwp22W5L1dNlMqT1TOg5y/9qexRLNs
kkXDM5MeT0lOkgBTjmzVRNybFjL7en8PsSb1n89zk84FahbMxLxIdW7et+I8+cWlzpIDFkWa
RwhMeV6kjhbx6dMpn/GUJyGn7Nh0UJMJBkkRTwn65pLNyVg8iYibb00kGRQ2HVrnzwtjEkHQ
qWMWpqp/1RQjGx++iax/WxlIcFVIyYlY32m6mGX1zw0spn9qYDH9MwOL6Z8Y1DSjaqKKRtRS
FY2owSoaUbuV/ZOq3SoaUbtVNKJ2q2j92+1R5NIO8fVVx6j73t21VGZbvHc9JmKeML0A6D/d
VHumwQNL2Txly0VgdqWbsfVzxpZzpaJV8Egxp21IVOt620Wu9VmLpOjfoDs0KnNteET22vCI
DLbh9bfYvV4mmwXaLU0+MymmeaNpLamTaSdMFuWCtr/bWN6/h20NcCPSjMwGzViCHvzdLGeN
nBQj37aW/Su2ZfW31dtRibR6FZKgllKFzzTD8O1qyVOdlj33Jt0oKdULj+iIkzxVZV+rW/7I
StLJ8l/j5YJlwuZKO4juU/36gnpwz5a9T+hBMpHQ6Pb1IGZCBnQriNvH+2/Bo1qaNNM0DA3w
SuW5ismY1U7g337y6d9pKnipk+BkRXS2l0TbQxZ2LQgmmZKkIiKSXmaKRJDMoZb3T76aKpZG
NLSHlJf3sOSciDhh8bJcdBB4S4+LL3r8IVgNWd6/WCrMvhCVqR5JYLVtw6yY/puH/Ye67yog
2Rn6o8jt/qNd6tpoOlz/ZcIOrv8SwaqppwfTfwlOdgfX/2R3cFQney1ZlgnnJVRvHtXprnnU
59s/+at4Sqp0Vki6BlwDyVpwDSRrQiWLOMkoz9jyCE/Y8qjPl7DLWB7Blpzl/SMVEZkYFkal
hIVRyWBhVBpYGKkA/e/QqcH636ZTg/W/V6eEES0BajCqfkY6/RNd5anBqPqZhVH1Mwuj6mcW
RtXPjr8EfDbTi2C6KaaGpOpzNSTdRJPkPF6qlKUrIuRXyeeMYIO0pD2kamYeblBJeRM3AdLs
UUvCxXaJoxL5J5+SVc2wKOtFsCPKpFSKaG9tO+HYyN171/aF2Sc5elfhQbKQL5SMeOo4J3es
zpcn5WMZb6tvq9Fp2/ObmC/yYLLY7PbXMWeHeyPXCftO2P4Cm9r8bP08S1PYPY9EEa8rCh+m
ODvuHmx79E7wyf7g7UpiJ/K0YyQs82x/5HaVvBN53jESlvmxY6T16U5kmx++sPS5sSOct/Wf
TY7n6Hznbb1oE9xYbFtH2kQ2dcHztl60Y5XgMgzN1QKoTjfPuOO7mccdj3GRm4Kxk5vS2Vdu
RJvBfvBfwszsmEHTlre5ewKM+3YR3Wnk/LNQ5b79zgWn7g913emFU5LxoJFz3P3C1c4o427H
zsONG9F53HEjOg9AbkSnkcgZjhqS3JTOY5Mb0XmQciPQoxWcEXCjFYzHjVYw3me0ghSf0arH
KsCN6LwccCPQRoUItFF7rBTcCJRRQbiXUSEFbVSIQBsVItBGhQswnFFhPM6oMN7HqJDiY1RI
QRsVItBGhQi0USECbVSIQBvVc23vDPcyKqSgjQoRaKNCBNqodr3Yw6gwHmdUGO9jVEjxMSqk
oI0KEWijQgTaqBCBNipEoI0KESijgnAvo0IK2qgQgTYqRKCNWj5q6G9UGI8zKoz3MSqk+BgV
UtBGhQi0USECbVSIQBsVItBGhQiUUUG4l1EhBW1UiEAbFSLQRrUXC3sYFcbjjArjfYwKKT5G
hRS0USECbVSIQBsVItBGhQi0USECZVQQ7mVUSEEbFSLQRoWItv5ZXaJ03WY/wu96Ou/Y737p
qqrUj/qj3HXUcXfUulZuVvdnEa6Ueg4aHzw8tvlGN4iYSqHsFrXjsnqda2+JQF34/OO6/Qmf
Or3nly5Vz0LYa6YAftI1EuypnLR1+XokSPJO2np6PRKsOk/aRt96JJgGT9oGXevL9U0pejoC
wW3DTC145AhvG61r4bCJ28boWiBs4baRuRYIG7htPK4FngZmcH4bfdqxnc4295cCQlt3rBHO
3YS2bgm1Wg/H0BhdRXMTuqrnJnSV0U1A6enE4IV1o9AKu1F+UkObYaX2N6qbgJUaErykBhh/
qSHKW2qI8pMaDoxYqSEBK7X/4OwmeEkNMP5SQ5S31BDlJzWcyrBSQwJWakjASt1zQnZi/KWG
KG+pIcpPari4w0oNCVipIQErNSR4SQ0w/lJDlLfUEOUnNciS0VJDAlZqSMBKDQleUgOMv9QQ
5S01RLVJbXdRdqRGKVwLxy3CaoG4CbkWiBuca4Ee2VIt2jNbqhE8syWo1VpzXLZUF81N6Kqe
m9BVRjcBpacTgxfWjUIr7Eb5SY3Llpqk9jeqm4CVGpctOaXGZUutUuOypVapcdmSW2pcttQk
NS5bapLaf3B2E7ykxmVLrVLjsqVWqXHZkltqXLbUJDUuW2qSGpctNUndc0J2YvylxmVLrVLj
siW31LhsqUlqXLbUJDUuW2qSGpctOaXGZUutUuOypVapcdmSW2pcttQkNS5bapIaly01SY3L
lpxS47KlVqlx2VKr1I5safiy8wNMhm1/30x/OF8tufkO7toDM1H5HaTVRUD7wbtoPGD2N5RM
JYLq16iqn06yda2uFZaF2RhYSrjQxYTVFye5SjkExTi+E9UWuz3X9aerttte8yw/t3N9s7WW
uWnbthqWPyYFG6JUxVWvT1U321cxXY2pLH+US/9zl0Qa8FL9IFVZweiVlSh9/JpLec/KT6ul
+6OSz/Ly6OjQPhT/5vi0/H43Z3xqBwInYLhbmfJl9cNgjmYuv/G9ukLtauqjhqa2t0r0beVt
vdb/ZZ//BwAA//8DAFBLAwQUAAYACAAAACEAnoGNAmUBAADZAgAAEQAIAWRvY1Byb3BzL2Nv
cmUueG1sIKIEASigAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
nJJda8IwFIbvB/sPJfdtmioipa2wDa8mDObY2F2WHDWzTUISrf33S1utK/Nqd+fjPQ8n70m2
OFVlcARjhZI5IlGMApBMcSG3OXpbL8M5CqyjktNSSchRAxYtivu7jOmUKQMvRmkwToANPEna
lOkc7ZzTKcaW7aCiNvIK6ZsbZSrqfGq2WFO2p1vASRzPcAWOcuooboGhHojojORsQOqDKTsA
ZxhKqEA6i0lE8FXrwFT25kDX+aWshGs03JRemoP6ZMUgrOs6qied1O9P8Mfq+bV7aihk6xUD
VGScpU64EooMX0Mf2cPXNzDXl4fEx8wAdcoUpOtcstbnPTS1Mtz6mVHmZRwsM0I7f72eOCp4
dUmtW/lzbgTwh6aF/y22OgNH0f6BIukUQ5qdDe0XAh54I9LetkvnffL4tF6iIonJLCRJGM/X
ZJpOZ2kcf7Y7jeavwOq8wL+JF0Bvy/gzFj8AAAD//wMAUEsDBBQABgAIAAAAIQCOb7ox0AEA
ABMFAAASAAAAd29yZC9mb250VGFibGUueG1stJJta9swEMffD/YdhN43lp2HtqZOybwGCmUv
RvsBFEW2xfRgdErcfPudZScbC4VkYzYI6X+6n+/+54fHd6PJXnpQzhY0nTBKpBVuq2xd0LfX
9c0dJRC43XLtrCzoQQJ9XH7+9NDllbMBCOZbyI0oaBNCmycJiEYaDhPXSovBynnDAx59nRju
f+zaG+FMy4PaKK3CIckYW9AR4y+huKpSQn51YmekDTE/8VIj0VloVAtHWncJrXN+23onJAD2
bPTAM1zZEyadnYGMEt6Bq8IEmxkriihMT1ncGf0LML8OkJ0BFiCvQ8xHRAIHI98pMSJ/rq3z
fKORhC0RrIpEMF2OwyRdbrnBcMm12ngVAy23DmSKsT3XBWUZW7M5rv07Y9N+pUl/UTTcg+wh
8WJZDnLFjdKHowqdAhgCrQqiOep77lVf2hACVWNgBxtW0KeUMZat13RQ0oLOUFiVJyXDoobn
flSmJ4X1ioiceEzvY5aInNMd/GYyOHDmxKsyEsg32ZHvznD7gSMZW6ATc/Sjd2Z6lSM+cq9y
pDdk9bsjJSq3d7P0bxwZOJc7Mv4b5EXVTYh+/KfBr/pKsqc/Bp+x2y9nbcam/nHw4waWPwEA
AP//AwBQSwMEFAAGAAgAAAAhAJN21kkYAQAAQAIAABQAAAB3b3JkL3dlYlNldHRpbmdzLnht
bJTRwUoDMRAG4LvgO4Tc22yLLbJ0WxCpeBFBfYA0nW2DmUzIpG7r0zuuVREv7S2TZD7mZ2aL
PQb1Bpk9xUaPhpVWEB2tfdw0+uV5ObjWiouNaxsoQqMPwHoxv7yYdXUHqycoRX6yEiVyja7R
21JSbQy7LaDlISWI8thSRlukzBuDNr/u0sARJlv8ygdfDmZcVVN9ZPIpCrWtd3BLbocQS99v
MgQRKfLWJ/7WulO0jvI6ZXLALHkwfHloffxhRlf/IPQuE1NbhhLmOFFPSfuo6k8YfoHJecD4
HzBlOI+YHAnDB4S9Vujq+02kbFdBJImkZCrVw3ouK6VUPPp3WFK+ydQxZPN5bUOg7vHhTgrz
Z+/zDwAAAP//AwBQSwECLQAUAAYACAAAACEAfjjseocBAACtBQAAEwAAAAAAAAAAAAAAAAAA
AAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQAekRq37wAAAE4CAAALAAAA
AAAAAAAAAAAAAMADAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQCNHfGLFgEAAKsDAAAc
AAAAAAAAAAAAAAAAAOAGAAB3b3JkL19yZWxzL2RvY3VtZW50LnhtbC5yZWxzUEsBAi0AFAAG
AAgAAAAhANGOC89AAgAAxQYAABEAAAAAAAAAAAAAAAAAOAkAAHdvcmQvZG9jdW1lbnQueG1s
UEsBAi0AFAAGAAgAAAAhAFsJyU8GMgAAAHQAABMAAAAAAAAAAAAAAAAApwsAAHdvcmQvdmJh
UHJvamVjdC5iaW5QSwECLQAUAAYACAAAACEACBRg778AAAAVAQAAHgAAAAAAAAAAAAAAAADe
PQAAd29yZC9fcmVscy92YmFQcm9qZWN0LmJpbi5yZWxzUEsBAi0AFAAGAAgAAAAhAFS2Y7tN
BgAAwhoAABUAAAAAAAAAAAAAAAAA2T4AAHdvcmQvdGhlbWUvdGhlbWUxLnhtbFBLAQItABQA
BgAIAAAAIQAmDGT7DAIAAM4GAAAQAAAAAAAAAAAAAAAAAFlFAAB3b3JkL3ZiYURhdGEueG1s
UEsBAi0AFAAGAAgAAAAhAIP4EHTEAwAA4wkAABEAAAAAAAAAAAAAAAAAk0cAAHdvcmQvc2V0
dGluZ3MueG1sUEsBAi0AFAAGAAgAAAAhACEYr1lrAQAAxQIAABAAAAAAAAAAAAAAAAAAhksA
AGRvY1Byb3BzL2FwcC54bWxQSwECLQAUAAYACAAAACEAvcGRNykLAAAvcAAADwAAAAAAAAAA
AAAAAAAnTgAAd29yZC9zdHlsZXMueG1sUEsBAi0AFAAGAAgAAAAhAJ6BjQJlAQAA2QIAABEA
AAAAAAAAAAAAAAAAfVkAAGRvY1Byb3BzL2NvcmUueG1sUEsBAi0AFAAGAAgAAAAhAI5vujHQ
AQAAEwUAABIAAAAAAAAAAAAAAAAAGVwAAHdvcmQvZm9udFRhYmxlLnhtbFBLAQItABQABgAI
AAAAIQCTdtZJGAEAAEACAAAUAAAAAAAAAAAAAAAAABleAAB3b3JkL3dlYlNldHRpbmdzLnht
bFBLBQYAAAAADgAOAIwDAABjXwAAAAA=
--KONICA_MINOLTA_Internet_Fax_Boundary--
------------=_5849AA5A.2C2A8409--