관리-도구

편집 파일: 1648672998.M429790P16406.server.saraya-global.com,S=93471,W=94843:2,

Envelope-to: caut@saraya.world
Delivery-date: Thu, 31 Mar 2022 04:43:18 +0800
Subject: Maintain Momentum After Post-Merger Integrations
Message-ID:
 <gfCm-7Y9oKgkbP-UZ1t-1uyMR6QHyfMoO5kNg9@email.professionaltrainingme.com>
Reply-To: Emily Eastern <Emilye@professionaltrainingme.com>
To: caut@saraya.world
From: Emily Eastern <Emilye@professionaltrainingme.com>
Date: Wed, 30 Mar 2022 21:42:30 +0100
MIME-Version: 1.0
Content-Type: multipart/alternative; boundary="--150075054F2E427DB5A6597616A162"

----150075054F2E427DB5A6597616A162
Content-Type: text/plain; charset="UTF-8"
Content-Transfer-Encoding: quoted-printable

marcus evans professional training
Post Merger Integration
Preparing and Achieving a Successful Integration
FOCUSED SERIES

Duration: 3 days
Dates: July 26, 27, 28 2022
Location: Virtual

Course Overview:
The victorious merge of two companies depends on finding the perfect mix of=
 the two pre-existing cultures in order to create a better and improved ver=
sion that is full of strengths. The key to achieving it is a good preparati=
on process done in advance. In this post-merger integration training you wi=
ll learn how to create a M&A playbook, IMO and PMI program in order to draw=
 a road map, set expectations and come up with the best long-term approach =
for the success of the new combined company.

Key Topics to Discuss:
Identifying and applying the right M&A assessment for your company
Creating an M&A playbook
Defining methodology for PMI
Setting up a strong PMI program
Creating an integration management office (IMO)
Recognizing your company=E2=80=99s PMI work streams
Establishing expectations for your new combined company
Merging strengths
Maintaining momentum

Course features:
Limited Class Sizes =E2=80=93 drive interaction and engagement
3x3 format =E2=80=93 3 hours of e-learning over 3 days for a total of 9 hou=
rs
Focused Course Content =E2=80=93 pre-course questionnaires allow trainers a=
re able to refine the course content and focus to meet the specific needs

Facilitator:
Ted Jeffcoat

Specializes in:
Mergers and Acquisitions
Post Merger Integrations
Cultural Transformation

Previous Clients:
Propane Ninja
DCC Propane, LLC
Sail Energy
Boiler Juice
Delaware Propane
Insta Answer
Paraco Gas

View Full Bio: http://email.professionaltrainingme.com/c/11muLfi0iq6gEGL1p3=
fqvmpYTGl5

Who should attend?
Managers
Unit Leaders
CEO=E2=80=99s

Click here to view the full agenda: http://email.professionaltrainingme.com=
/c/11muOqP5kcjE6Ee6LiwTfn5i8vNU

Course Contact:
For more information on availability, course content and registration, plea=
se contact Emily Eastern at emilye@professionaltrainingme.com, (312) 540-30=
00 x6523

Interested but cannot make the live virtual training? Ask about our on-dema=
nd and in-house training solutions. Feel free to pass this invitation along=
 to your team if you believe the discussion would be of interest

http://email.professionaltrainingme.com/c/11muOG1atSb8wE22paao4BrxVlsh prof=
essional training

If you wish to unsubscribe, please click on the link below.
Please note this is an automated operation.
http://email.professionaltrainingme.com/u/1dXeYkF6OaBIrOM3PjyEmOlx

----150075054F2E427DB5A6597616A162
Content-Type: text/html; charset="UTF-8"
Content-Transfer-Encoding: quoted-printable

<tr>
<td style=3D"width: 8in; padding: 0in 5.4pt; vertical-align: top;" colspan=
=3D"2">
<img src=3D"data:image/png;bas=
e64,iVBORw0KGgoAAAANSUhEUgAABdwAAACWCAYAAADEzkrJAAAAAXNSR0IArs4c6QAAAAlwSFl=
zAAAuIwAALiMBeKU/dgAABHJpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZW=
dpbj0n77u/JyBpZD0nVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkJz8+Cjx4OnhtcG1ldGEgeG1sb=
nM6eD0nYWRvYmU6bnM6bWV0YS8nPgo8cmRmOlJERiB4bWxuczpyZGY9J2h0dHA6Ly93d3cudzMu=
b3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMnPgoKIDxyZGY6RGVzY3JpcHRpb24gcmRmOmF=
ib3V0PScnCiAgeG1sbnM6QXR0cmliPSdodHRwOi8vbnMuYXR0cmlidXRpb24uY29tL2Fkcy8xLj=
AvJz4KICA8QXR0cmliOkFkcz4KICAgPHJkZjpTZXE+CiAgICA8cmRmOmxpIHJkZjpwYXJzZVR5c=
GU9J1Jlc291cmNlJz4KICAgICA8QXR0cmliOkNyZWF0ZWQ+MjAyMS0xMS0xMjwvQXR0cmliOkNy=
ZWF0ZWQ+CiAgICAgPEF0dHJpYjpFeHRJZD5lODU2NjQ3Zi1hMDk2LTRmM2QtYmQ2OS03OGU0ZDd=
kNzVlM2U8L0F0dHJpYjpFeHRJZD4KICAgICA8QXR0cmliOkZiSWQ+NTI1MjY1OTE0MTc5NTgwPC=
9BdHRyaWI6RmJJZD4KICAgICA8QXR0cmliOlRvdWNoVHlwZT4yPC9BdHRyaWI6VG91Y2hUeXBlP=
gogICAgPC9yZGY6bGk+CiAgIDwvcmRmOlNlcT4KICA8L0F0dHJpYjpBZHM+CiA8L3JkZjpEZXNj=
cmlwdGlvbj4KCiA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0nJwogIHhtbG5zOmRjPSdodHR=
wOi8vcHVybC5vcmcvZGMvZWxlbWVudHMvMS4xLyc+CiAgPGRjOnRpdGxlPgogICA8cmRmOkFsdD=
4KICAgIDxyZGY6bGkgeG1sOmxhbmc9J3gtZGVmYXVsdCc+bWFyY3VzIGV2YW5zIGxvZ288L3JkZ=
jpsaT4KICAgPC9yZGY6QWx0PgogIDwvZGM6dGl0bGU+CiA8L3JkZjpEZXNjcmlwdGlvbj4KCiA8=
cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0nJwogIHhtbG5zOnBkZj0naHR0cDovL25zLmFkb2J=
lLmNvbS9wZGYvMS4zLyc+CiAgPHBkZjpBdXRob3I+RW1pbHkgRWFzdGVybjwvcGRmOkF1dGhvcj=
4KIDwvcmRmOkRlc2NyaXB0aW9uPgoKIDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PScnCiAge=
G1sbnM6eG1wPSdodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvJz4KICA8eG1wOkNyZWF0b3JU=
b29sPkNhbnZhPC94bXA6Q3JlYXRvclRvb2w+CiA8L3JkZjpEZXNjcmlwdGlvbj4KPC9yZGY6UkR=
GPgo8L3g6eG1wbWV0YT4KPD94cGFja2V0IGVuZD0ncic/PoJ+47kAACAASURBVHic7N15fFT1uT=
/wz5l9X5LMZJJM9pCNhEASSIAQQHZwqQtK3UrrUqv2p16r1t6rrff+Xvfa9tpre6u9/lqXutXqt=
VoVBQVBEGQnAUIWlixkX2YmM5PZl98fgRQkkMlsZyZ53q+Xr5fMnPM9TzKTmXOe8/0+DwPAD0II=
IYQQQgghhBBCCCGEhITDdgCEEEIIIYQQQgghhBBCyFRACXdCCCGEEEIIIYQQQgghJAwo4U4IIYQ=
QQgghhBBCCCGEhAEl3AkhhBBCCCGEEEIIIYSQMKCEOyGEEEIIIYQQQgghhBASBpRwJ4QQQgghhB=
BCCCGEEELCgBLuhBBCCCGEEEIIIYQQQkgYUMKdEEIIIYQQQgghhBBCCAkDHtsBEEIIIYQQQgghZ=
Hw8MBAwDPgMByKGAy1PABmHi0QuHzww0PD4bIdICCGEsM7t98Pi88Lp98HodcPs88LgdcPq88Lt=
98Hl98MDf1RioYQ7IYQQQgghhBASQ2QMF+l8ITL5ImTxxcgXSDBDIIGWJ2A7NEIIISSuDHpcOOm=
yo8VtQ7NzBN0eF9rddtj8vogdkwGilNonhBBCCCGEEELIuHgAcgQSVIjkyBdIkMMXI5MvgpjDZT=
s0QgghZEqw+bzocDvQ5LKh3mHBN/ZhGH2esB+HEu6EEEIIIYQQQghL+GAwWyTDWlkSigRSaHkCS=
CnJTgghhESMz++HyedBj8eJz6xD+GxkCFafN2zjU8KdEEIIIYQQQghhwSyhDPep0lAslELAcMBl=
GLZDIoQQQqYVl9+HTrcTrw534yubCc4wlJqhhDshhBBCCCGEEBIlEoaDQqEUdyh0WCBRsR0OIYQ=
QQgC4/T7st5vxR1M3TrttcPmDT5lTwp0QQgghhBBCCIkwBkAeX4xVskSsliZCQw1QCSGEkJgz4H=
HhbXMvvhgxYMDrDmoMSrgTQgghhBBCCCERJACDWokaNyu0KBHKqHQMIYQQEsPsPi+224x4x9yHZ=
pdt0vtTwp0QQgghhBBCCIkQGYeLu5WpWC5NoFnthBBCSJxw+304YDfj/5m60OSyTSqBTgl3Qggh=
hBBCCCEkAtQcHh5LzEStRAU+w2E7HEIIIYRMgtfvR6fHgX8ZOI0Wlz3g/SjhTgghhBBCCCGEhBE=
DIIcvxv1qParFSvCohAwhhJAwYgQ8MEI+ptPXi9/jhd/nG/2Hzw+/2xu1rHaX24Ef9zWjy+MKaH=
tKuBNCCCGEEEIIIWGUyRfh/6jTUSNRsR0KIYSQKUixcjbUK2vAEYrYDiVq3AYjPCYLAMDn8sDdb=
oJvxA6PyQCPeRgesxVeow3w+CJy/IN2M/5jqA2dHueE2/IiEgEhhBBCCCGEEDINJXH5eEidjoWU=
bCeEEBIhkqxsJK36DrgyBduhsMrntMM10APX4CDcgwa4zg5g5PhR2E+fhr25B3B4w3asSrECDye=
k4zeGs+ieIOlOCXdCCCGEEEIIISQMhAyDnyVmoVqsZDsUQgghZMrjCMUQ6XMg0ucAAPxeD9zGlf=
AMD8NxpgODmz6EZdcxeA2B11+/krkiJdbLnXjZ1A2r//LJfEq4E0IIIYQQQgghYXCXMg3zxApwp=
1NRXUIIISRGMFweBEnJECQlQ5ydB9WihXC0n0Lve29h8OUvQx5fyDBYLUtEg9OKrTbjZbejNumE=
EEIIIYQQQkgIGABLJWqskSWCz9BlNiGEEMI2hsMBRySGpKAUOf/yLGbtegeKVWXgyMSjX9zBjMk=
wSODycYNciwze5evn05kAIYQQQgghhBASAj1PiOvlGmh5ArZDIYQQQsg4RPoczPjN80h/6j6IZ+=
WCEXCDHmuWSIbFEjW4l8ncU8KdEEIIIYQQQggJkpBhsFiixiyhjO1QCCGEEHIFXIkU2hvXI+vfH=
of62kUAN7jUOJ/h4CaFFpl84bjPU8KdEEIIIYQQQggJUjpPhOvkGog5wc+UI4QQQkh0MFwe5KVz=
kP6Th5By/41gpMG1ONXxBLhVoRv3OWqaSgghhBBCCCGEBOk6uQbpvPFnuBFCCIl9HKUQ8qXFEKY=
kBz2G7WgbrLubwhgViTRhchrSfvwwJEV5OPP4f8JvdU96jLWyJLxv6Uejy3bR45RwJ4QQQgghhB=
BCgiBmOLhGlgSGCbL7Gpk8LgOOSAAmyDIAAOBzuuF3esIYFCEknvHkMmivvwHq2lVBj9H7yl8o4=
R6HOHw+1MvXIvPnDpx99o/wDlkntT+XYfB9ZSqeHDgF7wWPU8KdEEIIIYQQQggJwp3KFColE2X8=
VBWSNqyAKCMj6DGMn+6B6bM9YYyKEEJIvOLwhUhcew08/cPo+Z+/wGuxT2r/WSIZioVSHHOOjD1=
GCXdCCCGEEEIIIWSSlBwerpNr2A5j2uHJpVDOXwTFnKqgx3CdGqaEOyGEkDFciQxJN10He0cbDH=
/7Cn63d+KdzpFyuFgqScAJ58jYLHdqmkoIIYQQQgghhEzSArESiVw+22EQQgghJAwE2hSkPXAfR=
GWZk9qPDwYzhVKkXNDPhRLuhBBCCCGEEELIJC2RqNkOgRBCCCFhJErPQubj909qH4ZhkMoTYoZA=
MvYYJdwJIYQQQgghhJBJSOEJkCMQsx0GIYQQQsJMMbcWuoeuBSbRD13LE2CmUAr+uZ0o4U4IIYQ=
QQgghhEzCDIEEUmqWSgghhExJutvuhqhUP6l98gQSaHkCAJRwJ4QQQgghhBBCJqVQIIWMoYQ7IY=
QQMhXxE5Kgu2MDGAkv4H2y+CIknevtQgl3QgghhBBCCCEkQFKGi0y+CAJmEmvNCSGEEBI3GC4Pi=
nnzIJ2TH/A+Gq4AKTwhOKCEOyGEEEIIIYQQEjAllwclhweGEu6EEELIlCVM0yNh7UowUn5A2/MY=
BvkCCQQMhxLuhBBCCCGEEEJIoBK5fKi4gS8xJ2TK4zJgRHwICnTQPXI9RFUZbEdECCEhY7g8SEt=
mQJSdEvA+WedWwNFZAiGEEEIIIYQQEiA1hwcFhy6lyTTH54CnlkKgTYa4LBuq2rlQVi0CT5mIka=
YfwMF2fIQQEgaS3EJIiotgb+wEvL4Jt8/miyFgOJRwJ4QQQgghhBBCAiXlcCFhaLE4mZ64WhkkM=
7IgKSmEpCQXiopKCFMy2Q6LEEIigiuVQ1E7G8Pb9sAzZJlw+1S+EAoOjxLuhBBCCCGEEEJIoGQc=
LqQcLtthEBI9Ii7ExWlIWLIEkpJiiLL0EKZmgCMUsR0ZIYREnGJOJXhKZUAJdwBI5Qkp4U4IIYQ=
QQgghhASKwzDgUMNUMtVxAH52ItQrq5C0+jsQ6vXgyuTgCIRsR0YIIVEl0KVDXJkNx5nOgLbX8y=
nhTgghhBBCCCGEBETAMFBS/XYyDeT/+f9CVbOS7TAIIYR1DIcDeXkxjO/uCmj7FJrhTgghhBBCC=
CGEBEbAcKCgcjKs8jndcHR0gCuWBz2Ga3AgjBFNTZRsJ4SQf1BUVAF4KaBtpQx3aiTcuVwukpI0=
UCgUUCiV4HG5SEhIHHdbt8cNi9kMu90Oi9WCYZMJBoMhyhGP4nK5UCqVSExKglgkhlQmg0wmA48=
7/stiMAzB6/NhZGQEFvMwjEYTRkasUY46dHw+H1KpFDKZHCKRCFwuFyqVaux5qUwOoUAQ8Hh++O=
FwOGC32QAAbo8HZvMw/D4/7HYbHA4HRkZG4HQ6w/6zkH8QCITQarVISEyESCRC4jh/g2bLMOw2B=
/r7+9Df3w+Xi73XhM8XQCqVQiqTQiwWQygUQiaVAQBEYjEkYknAYw2bh+H1eAAANtvoe87n98E8=
bIbdbsPIyAj8fn9Efg4S/+QKBYQCIaQy6bnPRxlEwtGlunyBAHLZxBeTPv/od4Pb5QIAWCwWuNw=
uuF0uWCwW2Ox2OOz2iP4cbODz+UhOToZYLEZiYiIkEgmUSiW4XO7o51Di+OcCF+ru7obf74fdbs=
fQ0BAGBwcxMDCA4eHhKPwEJJ7odDrw+XykpaVBIBBApVJBcO58RSKRQK1WT2o8i8UCi8UCv98Pr=
9cLo9EIh8MBk8kEq9UKm83G2jnqVMblcpGSkgKNRgO9Xg+hUAiNRjP2Wl7I7XZjaGgIDocDg4OD=
6O3thcFggNFoZCHy8JHL5aPXIImJEIvFEIlESEpKAgCIRCKo1WpwOBM3BD3/u/H7/bBarRgeHob=
dbofRaITJZILZbI70j0KmKVfnIDqfewkcIT/oMbwGWxgjIoQQMtVJ8krA0yvg6Zz4/CZbIIrfhL=
tMJkNBQRFycnOg1SZDrU6ATCaDTC6/JIF7IY/HA6vVCue5JKzFYsbg4CB6errR3NyEtrY2eNzui=
MUtEomQmzcDWVlZ0KdnQK1SQaVWQyQUQSyRQCqVgssdf8aEyWSCz+eD3WaDdcQK87AZJpMR7e3t=
OHWyBT093XCdS7bECj5fgKSkJCTrdEjW6aBWqZGk0UAiFkMilUIoFILD4UChUI7tI5FIxr3ouRy=
/3w+n0wmHwwEA8Ho8sFhHL2AdDgdcTidsNhtcLhcGBwdgNpvR09ODYZMJXV2d8Hq9Yf+5pxO5XI=
4FC2uQm5sHbXIyVCo1hEIBVKpLEw9WqwUOhxMd7e342/vv4fTpU1GLU6tNhi4lBVqtFhqNFklJS=
RCLJZBIxBCKRBAIBJBIpAAAkVAIkVgc8NgWi2XsfeRw2OF0OOH3+2GxWkZvBtnt6O/rg3XEir7e=
XvT19mJwcBBud2z9vZLI0+vTodFqkZiYCJ0uBVKpFHK5HAKBAGKJBDwe79xn4LmE+7kblBPx+Xy=
w2+1wn/v+Ghmxwu12w+12wzYyArvDAafTie6uLricTnT3dJ/7DOyCxxO577xwy8zMRF5eHvLy8p=
CbmwudTgeNRgORSASVSgWxWAy5XA4OhwOhUBhQArSvr2/s+8JkMsFoNMJgMKC3txctLS2oq6tDf=
X09JeCnmYyMDGRnZ4+93zQaDXQ6HXg8HpKTk8Hn86FQKMDnjyZ7xGIxlErlBKNezGq1jt2Q9fl8=
GB4ehtPphNlsHrt5azKZMDg4iO7ubnR0dOD06dNobW2l9+MkCQQClJSUoLy8HFVVVUhPT0dCQgK=
Sk5MhEAiQmJg49lpeyO12w2Qywel0wmg0YmBgAEajESdPnsT+/fuxe/du9Pf3s/ATBYbL5UKv1y=
M3NxclJSVITExEZmbmuYkvMqhUKohEoos+L4VCIRQKxWWvRy5kNBrHJrSMXleNnveYzWaYzWaYT=
Cb09fXh7NmzGBgYQFNTE3p6euL+hgVhn9/phecs3dAhhBASXfKFBTD+9UBA2/L+45e/jnA4V9bU=
2IQ/v/ZyQNsyDIOMzCwsWbIU+fkFSEhIgEQqnVRylsfjXZKM9/l8cDodsFpH0N/fhwP792HH9i/=
DOiM6PT0DCxbWoLR0FlRq9WiSTygKaPbIeWNxJyRcFLvdbsOIdQRnO89ix/YvUXfkMDznZtuyIT=
09A4VFRcjKzhk7qRcKhRAKReDz+eNe0ISCYRiIRCKIRP/okJ54bpbOtzmdTng8HjidDrjdHjgcd=
pw6eRKNjSfQ1HgCQ0NDYY0tUCkpqbjtjjsDmo0ZKbu/3oVPPv4o4O0lEilWrFyJmkW1SEhIgEgk=
nvD9LJPJIZPJwWEYyGSyUEO+Ih6Ph5kzSzCrbDZycnOhVCohFI5eVAoEgrC+D+XyC2cgj3+zz+l=
0wuv1wukcTXyOjIygt6cXLS1NaDxxAmfPdgR0rMTERHxv413QaDVhiDw0hw8dxAd/ez/gz5ucnB=
zc88MfRTiqwGz94nNs2/pFxI8jk8lROmsW8vMLkF9QAKlECsG596BQKASXywUThqZrHA7nosT85=
W46OxwO+Hw+OBwOeNxuOBwOGAxD6O3txcmTLeju7hpNysfIzVuZTIa5c+di5cqVWLp0KVQq1ejK=
FKl07OZsqL+/5OTkcR/3eDwYGRnB8PAwBgYGsHPnTnz88cfYvn17SMc7T6PR4Pnnn0dxcXFYxgv=
VwYMHcc8994Q8zpNPPokbb7wxoGRdJP385z/HRx8F9p3GMAzy8/NRXV2NWbNmobq6emzFxPn3ml=
AoDMvf6oVk51Y2npeamjrudi6Xa+zm7cjICEwmExobG7F//35s3rwZLS0tYY3rSmQyGXbtCqx2Z=
aQ0Nzdjw4YNAW0rl8uxZs0a3HnnnSguLoZSqRxbBRMIPp8PjWb0+1av1wP4x0QP07lVsl9++SXe=
eust7N27N7gfKMxUKhVqa2uxdOlSVFVVISEh4eKbu5OYUDCRiW5qjl5jjU6KcTqdo5OenE4MDAx=
g3759OHnyJBoaGmLmd0cIIYQQciWi7CwAASbcs7KyIxvNBIwBLpXNy5uB2+/4HgoKC8MeA4fDgV=
gsgVgsgUajwcyZJdjw3dvwv+/9FZ9v2Tw2YzAYmVlZuOGGm1BeUQkeL/wLCkaTLDJIpTJok5NRU=
VGJUydP4s03/ozm5qawH288fD4f5eUVKK+oxJw55ZArFFE5bjBGE//CixJTmZlZWLZ8BdxuN1qa=
m/HVVzuwa+eOqMYlEAiQlqaHTqeL6nEvdOJEQ0DbcTgclJTOwh13fg96fXqEo5ocvkCAkpJS1C5=
egrKy2WG9qAyV8FyJEInkH6VqcnPzsLCmBgBgMZvx+ZbN2LLlM1gslsuOw+ONljNITUuLbMABaG=
9vm1QCSiQSg+3vnPPGW4ERTpVz56G2dglmlZWNvfax4PyNyQvfhxmZmQCA1WvWjj3W3NSEo0fr8=
Lf3/ze6AZ6zbt063HHHHVi6dCm0Wi0rMfB4vLHkXEZGBioqKvDII4+gtbUVzz77LN55552QyiUM=
DAxAqVSirKws7IncYOXl5eHUqeBXHikUCpSXl6OioiKMUQVn586dV3xepVKhpqYGV199NdasWYO=
MjIwoRTZ5AoEAAoEAigvOr8rLy3HbbbcBANrb2/HKK6/gtddeQ0dHYDdvg8XlcjF79uyIHiNc7r=
33XvzoRz8Ke7znJ3rodDrodDoUFxfjvvvuw7Zt2/DTn/4UdXV1YT1eILhcLlasWIEHHngAS5Ysi=
fikhkCNXmOJxz0fW7Jkydj/e71e7N27F2+++SbefPNNWK3xVzKTEEIIIUBbewduuOF6HDl8OOSx=
YrEsr6JkFnrwXkDbxnRJGYFAgOzsHKxesw6Vc+dGJGF9OSKRCN+99XbMnVuFjz/+OxqOHxsrWTI=
RHo+P7JxsXHXVclTPX3DRzOtoyJsxA//y9C/GZnB293TDF+ayKUlJGiyqXYzS0lkoipHZeaHi8/=
mYWVKCmSUl+MFdd+PI4UPYs2c32ttaYTAYqPQMgITERCxfsRKrV6+NmWS2UqVCakoq5pRXoHLuX=
CQn6ya1ciRWyBUKFM2ciT17vr5iwp3EJqVShTS9HvPmVaF6/nwolePPMI8XBYWFSEhIiFrCXaPR=
oKCgAMuXL8f69etRWFgYs3/H2dnZeOmll/Dwww/jpZdewhdffIHTp08HtSpu06ZNWLZsWdTPE8a=
jVCqRnZ0dUsI9NTWVtRskF9q6dStMJtO4zz3zzDOYP38+KioqkHDBisF4lpmZiWeeeQaPPvoovv=
jiC7z33ns4cuQI2tvbp13/moSEBKxcuRIPPPAAas7d0I4GHo+HVatWoaysDK+88gpeffXVkP6WJ=
sLhcKDVapGfn4+rr74aN954I3JyciJ2vEjjcrlYuHAhenp68OGHH1LCnRBCCCExSZQbeP4zZhPu=
EqkUS5deheUrVkKnS2ElBi6Xi4LCQiQnJ+Orr3bgk08+gnWCRFiSRoP58xdgxcrVY0tQ2cDj8bB=
i5SpkZGTgk08+xvFjR0Oaqf9taWlpWHrVVdBo2L+wjgSRSIT5CxZi9pxytDQ3o77+CA4e2I+Bge=
nbzT5Nn471629GVfV8tkMBMLqMubCwGBWVlSgpnTXp2rmEhINKpUJR8UxUVFRi1qyymF7hE4u0W=
i1qa2uxbt06LF++fKxkQzwoKirC888/j0OHDuGtt97Chx9+iNbW1kmN8eWXX8LtdsdEwl0mk4X8=
+9fr2V2pdd7HH3982eeefvrpKEYSXQqFAjfeeCOuvvpqHDhwAJ999hk2b96M+vr6aTFpIDs7Gw8=
++CDuvPPOsQag0abT6fCzn/0MFRUV+OUvfxm2ElQXUigUWLFiBW644QYsW7YMGo0mZm9QEkIIIY=
RMJUJd4FUeYjLhLhAIcPMtG1BTUxtQs7hIU6nVWHf1NVCr1fjkk49w9jLLdbOzc3DNdd9BRUXFW=
MM7NnG5XBQWFUOlUuPdd9/Bvr3fsB1S3BGLxSibPRtFxcWYM6cCBw/ux66dX8Fut7MdWlQVFhbh=
hpvWo7R0FtuhQCAQoHRWGWoW1aK4eOZFS+wJiRYul4uSklJctWw5CgqL6IbPJIlEIixfvhx33HE=
HamtrYyJJG6yKigoUFBSgtrYWf/jDH7Bjx46Aa+CfPn0aR44cQW1tbYSjnNj5Ge6hSE9PR0oKO5=
MkzhsaGsKePXtYjYFtQqEQNTU1qKqqwjXXXIMPPvgAb7zxBnp6etgOLWJSUlLw7//+77juuutiY=
gXeqlWrkJaWhp/+9KfYtGlT2Matrq7GAw88gMWLFyM9PbbK+hFCCCGETAfcFBm8PROvxou5hLtA=
KMT9DzyIOXMqJtUMNdJ4PB4W1tRAKpPh//3Pi5fUbc3MysKtt92BwqKiqJa+mQiHw0FqWho2fv8=
HGOjvw5kzZ9gOKS6NJnlnITsnB/kFhfj7h3+77I2XqSYlNRXX33ATZs4sYTsUyORy3HLLd1E5dy=
7kcgXrTfnI9CSRSLBq9VpctWwZEhISaWbhJGm1Wjz22GO4+eabkZaWNiX+jmUyGa6++mqUlZXhu=
eeew8svvxxQGTqPx4OPP/44JhLuAoEAGRkZUCgUQdWm53K5SEpKYn2iRENDA/r6+liNIVbw+XxU=
VVWhuLgYK1euxEMPPYSGhsD6tcQTmUyGP/3pT1i2bFlM9cwoLi7Gf/zHf8Dn8+Gzzz4LaSyhUIh=
HHnkEd999N7KysqbE5yYhhBBCSDzi6xQBJdxjKksgEAhw/wMPoqpqfkwl28/jcnmYPXsObrzpZg=
iF/1j+nZiYhO9//26UlJbGVLL9QiqVGv/81C9iYtl6PJPJZFi4sAYPP/IoiktKYqbRXaSoVCrct=
P4WzCorYz2pmJc3A88++2ssX7ESKpWaLjYJKyQSCe66517cfMsGJCXRMv7JKi4uxpYtW/CTn/wE=
GRkZU+rvmMfjITs7G7///e/x5JNPBrzfu+++G8GoJiclJSXoGuxyuRwZGRms/01s3boVg4ODrMY=
QSxiGgUKhwLJly7Bnzx7ceuutbIcUVjKZDJs3b8batWtjKtkOjE56KS0txRNPPIHiEPodJSQk4I=
UXXsC//du/ITc3d0p9bhJCCCGExB1uYHnAmMkU8Hg8rFy1GqWlZWyHckVcLhdV1fNRXlEBDocDh=
sPBylWrUVBYyHZoE5JIJLj3hz8Cj8dnO5S4l5qahgce+D+YU14BPn9q/j4FAgGWr1iFuXPnsRqH=
WCzB2nVX42f/8jQSWarJSgjDMEhK0uDhf/oJFiyIXiO+qUImk+G73/0u9u3bh9mzZ7MdTsQ9/fT=
TeOeddwJKXnd0dODgwYNRiGpiKSkpQfefSUhIQFFRUZgjmhyz2YzGxsZpV/YtUAqFAq+88gqefP=
JJqFTx3dgZGC1N9dRTT2HePHbPUyayePFi3HvvvUGVwMvPz8ef/vQn3HXXXTE7qYcQwgIOA45CB=
F6SHII0DYQZuov+42tV4KokAD9m0j1kKuJzwEj54KrE4GkU4GmVEOgvfT8KM3QQpGvB0yrB0yjA=
VYnBiHnA1J67SEiMlJRhGOTnF6B28RJIJBK2o5mQUqnEkqVXoamxEUkaDVavWct2SAErLCxCSUk=
J6uqOsB1K3EtISMBDD/8T/vrO2/jyy21wTLEL/JkzS7Bi5SpWbygkJCZi1ao1WHrVspioyUqmr+=
zsHNy58QcoKChgO5S4k5aWho0bN+KJJ56ATCZjO5youfHGG2Gz2fDUU0+hq6vrittu3rwZlZWVU=
Yrs8kJJuCsUCmRlZYU5oslpbGzEqVOnWI0h1gmFQjzxxBNQKpX4zW9+g/7+frZDCgqHw8GaNWvw=
3e9+Ny4mPtx+++347LPPsGXLloD3ycvLw7PPPovrr78+gpERQuIJL00JkT4NopxsiIv04GsSINT=
pwJVefH7l7O6Cc2AAI0dOwrhpO3zDTpYiJlMGjwFXJYZAmwCeSg2eUg2+XgtekhQ8tRx8lRIMnw=
9BYhI4okuv2/1uN5x9vfB73HAbTXD3meBqH4S7vx+ugT64+gzwGScux0hIPImJhLtSocSSq5YhL=
U3PdigBKyoqRklpKZavWBmT5W8uR6FUYkHNIpw82YKRkRG2w4l7AoEA62++BQCwZfNn8Hq9LEcU=
HolJSbjze99ntSGpSq3GbbffgcrKeXH1N0amnrwZM7Bhw62YMWMG26HEnczMTDz11FNYv3495HI=
52+FEFY/Hw/r162EymfDss89eMbH54Ycf4rHHHmO9JIZarYZerweXy53095lMJoNez+55XFNTE1=
pbW1mNIR4olUr88Ic/hMfjwa9//WsMDw+zHdKk5eTk4J577kFaWhrboQQkMTERTzzxRMAJ96ysL=
Lz66quoqaEVVdMFX5uIlB/dDq4stCbs5v17YfjkS/jtnjBFFhh+WhL0D98f9P4+pwOGzzbBsjuw=
PhP81AQk3bgWooycoI9p/PwrmL74Kuj9zxPPTofutu8Hvf/Zf/8tPMYrfw7zMxOQsHoZlLVVEKX=
rIUhJB+cKq9YlM0oBAPZ5bbAcPgTX8ACklXnQ3LgeTJRWu6fc+QMkXWWa9H7ugR70v/EBXD2TKw=
+X/eunJ32sC3W+8N9wtxlDGiMQunuvh/jc6xMMwxcfYfjzujBGdHmMQgBxkR7SGTMgKSqBIE0Lv=
iYB/HMJd650cuf20m9VV/O5HPAYh+Aa6IezNqBdCgAAIABJREFUdxC2ow0wHzwI29FW+EfcYfxJ=
CGEH6wl3hmGQl5eHuXPnsV73czL4fD5uvOnmoGeCsYXL5SIvLw/ZOTk4fuwY2+FMCUKhCGvXXYO=
RkRF8tWM72+GExfd/cBd0KSmsxnDLhlsxb14VlUAirNJqk3HNNd9BYVFxXH1HxQKxWIyNGzfi1l=
tvnbYrVGQyGe688060tLTg1VdfhdM5/gyzjo4O1NXVoaqqKsoRXozL5SInJwcSiQQWi2VS+xUXF=
7N6w8BoNOLgwYNBNXydjlQqFR588EF0d3fjxRdfZDucSeHz+Vi+fDkWL14cV5/LNTU1WLp0KbZv=
v/K5okqlwnPPPUfJ9umGC4iL06GcF1oTbW4CF+ZvDsDdGfnE4YUUy0qguenqoPd3Dw1i4O+B9zT=
hqSRQLq2CYk7w35uuzp6wJNwZGS+kn73r+T8Cl0m4M0IulKvnIeV7d0CSXwCORBZ0DzFhlgZJ16=
8BRxidnm6q6uA+w+xnmjD08RfAJBPuobwGANDz15ejknBX1pZDuXBV0Pvbu49ENuEu5EJSlg5Vb=
TUSVlwLrkwErkwKrkQOJsylzTgCEQTJaRAkp0E60w/VwgXQmtbDfqoFA5/8HcZ394T1eIREG+tn=
qXy+ACtWro7LZp7JyclxdaJ/XkpKKnJy8+Iy9ljEMAwSExOxevVa5ObmsR1OyCoqK1FRMZfVGH5=
w1z1YsmQpJdsJq7hcHubOq8K8qipqUheE22+/Hb/4xS+mbbL9vMTERDz55JMoLb38bCa73Y59+/=
ZFMarLy83NhVQqndQ+PB7vij9fNPT19WH//v3w+/2sxhFPlEolnn322bjrq5CSkoLbbrstLspQX=
ojP5+Ohhx6acLv77rsPK1eujEJEJJa4h0wwfRX694CspBQiFlaNJ1y1OKT9baeaYTvQFqZoosvv=
idxqgtSf3IL8538L+ZxKcKXyoJPthEyEEfGgvqUKxe+/gJK/vgv9A/8ESX4ehKl68BTqsCfbLzk=
+w4ArlkKYkgbVoqWY8cvnUbrjTYgq42MlGyHjYT3jmpaWhkKWm2xNR7m5eVOiYVYsycrOxlXLls=
d12QShUIg1a0KbHRAKDoeDRbWLsXjJUtZiIOQ8vV6PVatWsx1GXFqzZg3+67/+i+0wYkZGRgaee=
eaZy9awHxkZwa5du+ByuaIc2aVKSkom/T3G5XIxc+bMCEU0Mb/fj97eXjQ1NbEWQ7ySy+V45513=
kJiYyHYoAVMqlTHR8yAY11133RXL4FRWVuKmm26aVv0uyDkuL+zHTsHZ3R7SMAKtHuKyXDCC6E0=
U4MiFUFQuCmmMoU8/DlM00ecLsfSFIE99yWM8jRK5L/0UaXc/HNLY8Prhd0S3vBCJP+pbFqH4/f=
/GjGf/G7KZ5WyHM0acmY+Zr70O/T//APz0JIBDN5xIfGE94a5Sq1mvWTodZWfnQKEMrUYgudSCB=
Qsxqyy+ZopdqLJyLtIz0lk7fmZWNtauuzouGqCRqa+mZhE0Wi3bYcSdvLw8PPfcc5OeJT3VrV27=
FvffP359W7/fjzNnzqCxsTHKUV0qOTl50sk+Ho+H4uLiiTeMEI/Hgz179lA5mSAVFBTgySefjJv=
zcS6XG5crY8+79tprx31cLBZj1apVrN68Iuyyn27FSGNzyOPI55aAI47e34j6O/PAlQbf98ljGo=
RhU/yWjnAe6w1pf17SxTe5BekaZDx1HxJX3hDSuADgs7ujUiaFxLfsn/0C0uIKtsMYF1cqR8rGu=
5D5zD9BUjGDku4krrCecCfsSEhIgFqdwHYYU45ILMaatevAj8MmnyqlCnPnVUEmY2eGvlwux1Xn=
mifTcknCNqlUhkWLl7AdRtyRSCR4/PHHY67BbF9fH06dOoVTp05dto56NPzkJz+5bDKto6MD9fX=
1UY7oUnK5HNnZ2ZPaJy0tDcnJyRGKaGIulyvgZpRkfNdffz0WLFjAdhjTwuV+z3q9HqtXx2eZTR=
Ie7r5hWA8fh3fEGtI4ivJqcBODT4BPVtKaa0La37BtE3xDjjBFE994GjmS770Z6uVr2A6FkJjB8=
PhIWLocmU8/CmlV/JfwJdMHJdynKS6Xi5TUVKrjHgFZWdmoqQltWSUbsrNzkJ2Ty8p7gmEYFBXP=
xNx5VTS7ncSEOXPKoaRVQJO2bt06rFu3DrwI13kMhNvtxhtvvIH169fjmmuuwfr167F+/XqsWbM=
Gjz76KOrq6uD1eqMak0ajwSOPPDLucwaDASdOnIDDwX7Sobq6elLbz53Lbt+P7u5uHDhwgNUY4l=
16ejpuuukm+g6Ogjlz5lzyGMMwKCwsREVFbM4wJFHi9cNadwSuof6QhuEnaCGrjs6Nb+FMHaQzQ=
1vd2/f2p2GKJs4JuFCtXoikdevAFcdXjwoS37wjFrZDCIi8ZA5y/v1fISymFcgkPrB/RUxYk5GR=
AS6XC5/Px3Yo8Hg86O/vx7DJNO7zIpEI2Tk5UY4qOFwuFzfccBO2f7mN7VAmJSU1lbVjKxRKLFp=
USwlOEjOuWrac7RDG5fV60dJ85eXmGZmZrJRz0el0uPnmm5HK4mfJeSdOnMCGDRtw7NixcZ/fvn=
07XnvtNfzud7/Dhg0botoUd8WKFaipqcHXX3990eM+nw/19fXo6upCbm5u1OIZz2TrY082QR9uW=
7duhd1uZ+XYzc3N6O0dv5wAj8fDjBkzoI2D0lR8Ph+VlZUoKSnBkSNH2A5nSktMTERJSQmOHz8+=
9hifz8eCBQtissm0wWBAS0vLFVcHZWdnIyMjI4pRTV3WPc1wnGyHKD0LDBP8JJjElUtheHtnGCM=
bn7x8JjjC4N+3w/t3wNnYHcaI4pc4Nx0pG28FX53Edihkmhk5th/ClO+wHUZAxFm5mPH8f6Lxzh=
/B2zvCdjiEXBEl3KcxAT86ZU98Ph+cTifsdjtGRkYwONCP9vZ2dHS0o7+vD52dZwNe4s8wDFRqN=
VJTU5GWqkd+QQEyMrMgl8sgk8ljYlYlACRpNJg9pxx1Rw6zHUpcyMrOjuva92Rq4fF4KGKxHvV5=
ZvMwOs924siRw2hsPIG21jOTmpEtlcmQoktBYlIidLpUaDQa5OXNgFAohFAkgkQigUAgCEsJJ4Z=
hUF1djUWL2F3d4/V6sXfvXtx+++1oa2u74rYGgwH33HMPuFwu1q9fH7Wke0pKCjZs2IB9+/bB7b=
640VpTUxO6urqQk5PDammtyZaUmT9/foQimZjX68Xbb78dkbFHRkZgNpthNpvR3d2NhoYGHD16F=
E1NTWhra8PZs2cDHis1NRU6nQ7V1dUoLy/H7NmzkZycDI1GEzO10wsKCjBnzhzU1dXB7/ezHc6U=
xeVyoVZf3CSRx+OxvlLE6/XCYDCgvr4eW7ZswY4dO3DixAnYbLaAx1Cr1cjIyEBeXh5ycnIwa9Y=
s5OfnQ61WQy6XQyqVTrop83Rk2L4Zypr5YITBlxdSL14HjvxZ+CwRLKPG50A5vxZMkCtj/D4vTF=
/vhc8dWtPRWGA9vg+ykqqg9hXnpmNYcAiJG5ZDnFMY5sgImXpEmVlIvfd2dP76VfjtLrbDIeSyY=
iM7SViRmpoGDocLIPwnOX6/H1arFX29vejp6UbH2Q60t7Who6P9srPYAx3XaDDAaDCg4fhxfP75=
ZkikUhQVFWP27DkonlkCnU4XE6VySkpKKeEeoKuuWgZBHNa9P89isYybCGUYBiKRKGaSKSQwupQ=
UtkNAc1Mjvvh8Cw4fPhT0zN0RqxWnTp3EqVMnxx5jGAbJOh1SU9OQlZmF1LQ0JCUlITEpCWp1Qt=
BJZ4VCgaVLl7JaxxsAGhoa8Pjjj6O9vT2g7e12Ox577DHk5+ejvLw8wtGN4vP5mD17NvLz89HQ0=
HDRc21tbTh27Bjmz5/PammPrKws6HS6y87cvpBEIsHs2ezdMG1ra7tktUAohoaG0N7ejjNnzuDo=
0aOoq6sbW3kQSgmi7u5udHd34/Dh0fMCuVyOefPmYdWqVVi8eDHmzJnDejkXpVKJ2bNnQ6FQYHh=
4mNVYpjI+n4+0tLSLHuNyuaz2vvB6vdi3bx9eeOEFbNq0KejX32g0wmg0XtSPQigUIj09HSUlJc=
jPz0dJSQkyMjKQnZ0NnU4X1+d/kWLauh/uHxsgTA5txZj6O/Mw9MauMEV1KVF+CsR5OWCCvO5y9=
ffAsuM44GF/tXWovNbg6+5zRCKI8lOhue6mMEZEyNTFEYiQsGolLAfrYdq8F4j/jxAyRVHCnYSV=
x+NB65kzONHYgI62dnR1daKnpwcuV+RmV9hGRnDo4AGcaDiOnJxcLF56FRYtqo3Y8QKVX1AAoVD=
IaoO+eKBOSIir2e0+nw9GoxHtba3o7evFYP8Ahs3D8Ho8l2zLMAzEEgmkUhnUajXS0tKgTU6GRq=
ONmdUY5FIpOnYT7mfOnMYf//gSujo7wz623+9Hb08Pent6cPjQQQiFQiRpNEjWJiM1TY+cnBzk5=
xcgITFxUuMmJyfj2muvDXu8k2G1WvHuu+/i8OHDk5qd29nZiV/96ld4/fXXo5b4OV+rubGx8ZKy=
bnv27MFtt90GlUoVlVguZ9myZXjrrbcm3K6oqCgK0Vzep5+GXvvX5/OhsbER27Ztw8GDB9Hc3Iy=
mpiaYzeYwRDg+i8WCbdu2Ydu2bZgzZw7uuOMObNy48ZKZz9E2e/ZsaLVaSrhHGYfDYbUkS09PDx=
5//HHs3r077GM7nc6xptXA6M2F3NxcFBQUoLCwECUlJaisrERxDKwsixXevhGYdn6B5PXfC2mcp=
DXXRDThLptdBr5GE/T+lrrDcA30hTGi+JXywG3gKxPYDoOQSfOYjXAP9cM7YoXbMHjRcyJ9JjhC=
IfjaVHD44Z2AJkhOhXrlElgPnoCnP3Lna4SEImYzPh6PB22trRgaGoRILEa6Pn3SCQC29Pf3YXB=
wECajEYmJSUjPyIBEEnuNT/gCAcK1Yt1iseDw4YM4uH8/urq6YDAMRT3RbLfb0dBwHJ1dnbBYzF=
i79uqoHv/b5HIFkjSaiCTNppIVK1ZBJAp+yWw0nT59Cju/2oGTLS0wm82w2UYCmn18fqa7TCaDW=
CKBVqPFzJJSlJXNhi4lhdXSEeRSShW7vQS+2b07ap8bTqcTXZ2d6OrsRF19HRRyxWhJgMxM6PXp=
AY8zf/58pKcHvn0ktLS0YNOmTUE1Hd21axeOHj066drlwVKr1ViwYAE2bdqEoaGhi5778ssvYbV=
aWU+4z58/P6CEe7RWBlzO+++/H/S+DocD27Ztw5///Gc0NTWho6MDZrM56uVUjhw5gvb2dvT09O=
Cxxx6DJoQEVqhmzpyJxMREnDx5cuKNY8zw8DCOHTuGzs5O6HQ6FBcXx2T9fIFAcEnZptLSUpaiG=
fXZZ59h7969UTmW1+tFS0sLWlpasHnzZqjVaiQnJ6O0tBRcLpe1fgyxpv+vH4WccJfOnA3hTB2c=
DROvVposRiGEdFYxeIrgzpm89hFY9x2HZzA+mjVGkrxkFqSlwZWjmYh7KPyvPZl6bKdakLAysG2=
dvWdhqT8A28nTcDb3wtVlgM9hg9/ths9x8ec3Vy4Hw+GBp1VDVJwG5dw5UC9eE5aYGS4XyoULMZ=
i7GZb+urCMSUi4xWTC/aO/f4AtWzZjxGqFz+cHwwAcLhdls8pw6+13QKtld8n65RiNRvz9w7/h6=
1074fZ44Pf5wOFwIBZLsGTpUtyy4Va2Q7xIOEqv2O12bP18C7Zu+wJGgwEej4f1up/DJhPe++s7=
EApFWMZi40ORUAhdso4S7hNYsGAh2yFMaHBwAH995y84sH+05vJkGw37/X7Y7faxi8iO9g7U1R3=
BX995GwUFhVi2YiVmzSqLROgkDp0+c4qV4/q8XphMRphMRrS1tU6qvMy1114b1caj3+bxeHDkyB=
EcPXo0qP0NBgM++eSTqCXcORwOqqqqkJycfEnCvbe3Fw0NDdDr9VGJ5XICrcu+ePHiCEdyee3t7=
WOzZifDbDbj/fffx3PPPYczZ87A4XCwfu5iMBjwwgsvQC6X45FHHoFMJmMlDrVajYSE+Jtl+c//=
/M949dVXYTab4fV6weFwIBQKcfvtt+PJJ59ESgyUCjuPw+Fc0tia7abxZ85MrkdIuLjdbvT396O=
/vx8NDQ3gcDjwjLNicDqyHzkL28mjkMyYFfQYHKEIstlFEUm4C7QqiDJ1YDjBffc7uzpga2qeEu=
VkQiUvrwHDDT4t47GYMNJwCAyPB5E+GwLdP1bLODv/0c/GdqYDnX/6LzABnq8pZldAWb0s6LgGN=
r0Dx9mOSe/nMZvhNhiCPi6ZPM8EJZGcPR0wbP0EQ1u+hqO+G36PG36PF/D6gCuePp07x20AzLsO=
YeDlT8FL/m8k330Nkm+4HVxJaD09+IlaKFbMgbX+BPw2quVOYk9MJdzdbjfe+ctb+HTTJ+M+v2/=
fXgwZDbjvvgeQmpoaU7NCDQYD3nrzdez9Zs8lyTin04kPP/gbhoaGcNfd90AYQgOccAol2W4yGf=
HR3z/E3r3fwGqJvZkJDocDWz77FPn5BazNuhQIhdDE6M2hWJGekYFknY7tMMbl9/vhdrtRd+Qw3=
nrrDfT3hXPJqx8ejwcejwf19XU4erQeafp05OXl0cwuggULatDW2srqe8Hv9wec9BAIBFi1alWE=
I7oyq9WKHTt2TPpm2HkOhwOHDx+Gx+OJWrmnwsJC6HQ6nDhx4pLn3njjDdZ/p+Xl5eDxeFd8HzA=
Mg7Iy9m4WBlNr+je/+Q1eeukltLS0RCiq4NlsNrz88stYsWIFqqqqWDnPZRgGhYWF+Pzzz+Mi8e=
lwOPDDH/4Qr7/++iXP2Ww2vPjiixgcHMSvfvUrpKWlxdS1QyxZvnw5/vCHP7CywuM8n88X9Gf4l=
OQDet75C3KfCj7hzvD5UM6vxdA7OwBveF9XSV4uJPnBNfj0+3ywNZ3BSMPpsMYUrwJNtvu9Hngs=
ZjhaWzH0+Ucw76uHs6kffvvFn9WMhAdhvgby8mL4bP94znG4C72HPwg4Lv8jzpAS7oObPofls+N=
B70/Y43M54bVYMNJ4HL1/eRPWb5rhM4ZYvcDjg9/jgrt9EJ2/eA3D2w8i/aEHIC2eBSbIc2+GYa=
CcOxd9sg/goYQ7iUExlXA/cGA/vt6184rbtJ4+jc2fbsIt372Vtdk/3+bxeHDwwH4cPLD/iieK3=
+zZjczMLKy7+pooRhcZ7e3tATelY8vA4ACOHa1nLeHO4/Fi5j0aqwqLYrdep8vlwtYvPsemTR/D=
GOFZFn6/H51nO9AZxCwQMvXULl4CLpeH3bt3wTA0BNOwaTT5zvIM3Mupra29ZLZmtNlstpBrD/f=
39+P06dMoKCgIU1RXJhKJUFNTg127dsHtvrh5+VdffQWbzcZ6ObqysjIcOnToss8nJSWxVvrG7X=
Zjz549sNlsk9rv0UcfjVBE4dHe3o5PP/0U5eXlrDWTTE9Pj4nm84F477338O677172ea/Xiw8//=
BBlZWX48Y9/zPrfVKyqra3F73//e7zxxhtobW3F4OAgjEYj22FNe9avGuG+vx/8xOBKIzEcLsQz=
ciHM18HZ2BO2uBgJH+JZM8BXBxeXd8QM66GD8FsoQRYIv88LV38vLPsPof/D92Hd3njl7W0eOOp=
64KgL32tOpgefww576xlY9h/AwCebYD8YoXyP1w/Ll8fQNvRrpP/0ASjmVge9ykNWUglRkR7Wfl=
OYgyQkdDGTcLdYzNi395sJG1R5vV40nDiOsx0dKIqR5jomkxF79nwNl+vKJw0ejwf79u3FgoU1r=
DfFmg4cdjva29tgt9shFoujfnw+n0+v8wRmzixhO4TL2rH9S7z/v+/SjHMSdQKBAEuvugpz585F=
d3c3+gf6MDgwiIGBAQwO9I8mQkxG2CeZaIwUtmdiA6PJ17Nnz4Y0hsViwcDAQNQS7gAwb9488Hi=
8SxLunZ2dOHDgAKvlWoDRBppXSriXlZWx1oOjtbUVp06dmpIzYnfu3Am3281awl2lUsVFwr2npw=
cvv/zyhH0b7HY73n77baxfvx45OTlRim5yTCZ2EwV8Ph+33norVq5ciZaWFnR1daG1tRVnzpzBq=
VOn0N/fj87OTmqmG2XuPgMMOz5H8o23Bz2GQKuFvHxOWBPufLUSyurg+3e4h0ww7dwXtnimMp/b=
Bcvh/eh78z2Ytx+GbyS6PdLI9OAeMmCksR6Gz7+EcfPXcJzqikq5J1v9aXQ+9z/I+20WhKnBl1J=
U1MyC9StaTREon8+HPXu+wf/+73sRGd9ssaDzbHjKKj/88MNhGefbJFIprr32WlRXRaZ/xnkxk3=
Dv7e1FX29g9eX6+/rQ29uDgsLCmLggMBlNOH06sCVxRqMBHe3tlIi9DKVKBaVCOdZkUneFciO9v=
b1jF1k2mw0DA/2XbGMeHobFYmEl4c4wDKs1jWOdRCK94uvLppMnW/D+++9Rsn2asliuXMcwWmRy=
OfILCpBfUACPxwOH3Q7buV4ATqcD5mEzDIYhdHV1wmI2o62tDUNDQ3C5onsxFmit70hqaGgIufy=
FzWaLetKroqICfD5/3M+a999/n/WE+0TlYkpKSlhLuNfV1YV8kyVcZDIZ8vLyAAByuRzp6emXTZ=
YPDw+jtbV17P/Pnj17yXv30KFDrJZzSUhIiIvSK01NTegMsE9OY2Mj2traYjbhHkwvgnDjcDjQa=
rVjjWY9Hg+Gh4dhMplgs9lgtVphMBjQ3NyMs2fP4syZMzh9+jSam5vjovxQPPLZnLDsOg7NNQ5w=
BMF91vIUSkiKCsBIPoffFp7XSZCTAmnx7KD3txzYA1fb0MQbElgO7EH7//3v0QSoe+rdYCaxwbz=
1OOxH/hXO7l74R9wT7xBGI0dOoueNl5H1xM+DHkMxpwLdeDuMUU1tPp8PR48dw29/+1u2Q5lQpG=
JMSEhAbm7e9Em4Gw0GDA8HdqHr9XrR19cHl8vF2oXehTo7O+FxB/bBZLPZ0NcXO93CxRLJpJdjh=
0oilSIjIwOZmVlITU1FcnIKkpOTIVcowDAMOAwDMADAXPGGyuisttESC37/6L8tZjP6+vrgdrtx=
8mQzkpI0EPD5Ufm5yKj+/j6YjKaxGqB8Ph+6lJRLlnErVUoIBUI2QpzQn199FZYJVtuQqWtwYID=
tEC7B4/Egk8shk/+juZDf7x+reev3++H1euH3+9DR3oHOzrPo7u5Cw/Fj6O7pCfg7KhjV1dURGz=
tQljD0ErFarZc0MI205ORkZGRk4PjxS2fl/OUvf8Hvfve7qMbzbRPdTCkoKIBQGP3Pcbfbjfr6e=
vT0RG+5vEQiQUlJCSoqKpCRkYHS0lLo9Xro9XrweLyxG+wMM3rucrmE9YV1qi/8//r6ehgMBpw+=
fRpDQ0OszW4H4qekTGNjIwwBlnxzu91oa2ubeEOWOBwOjIyMsF6e60I8Hg+JiYlITEwce8zv92P=
lypXw+Xzwer1j/x09ehRNTU04cOAAjh8/jrq6uglXHpAA+PywNZ/ESONRyMvmBTUEw+FCnJsGQW=
oinKfC049IWp4DjjD4yUyGr7YDvtgskxdLPMMGtP78l3CdopsTJLK8Bhu8BpZWznr96P/TZ9Ddd=
gdE+uBuistnsz/5h5DxxEzC3e/3T6o8LVsNfcbj90/ibrPfH1OxZ6RnYmhwMCJj83g8iERiyORy=
5ObmoqSkFEXFM5GcHLlGolKpFLqUFABA5dy5ETsOGU0U2Gw2OBx27Nu7F4cOHkBr65krXmDl5xc=
gNy8PmVnZ0Gi0EInZv2H2bfv37UXH2djuT0Aiq7PzLLxeb8yvUDm/iubbcRYWFaGwqGjs33abDZ=
2dnWhsPIGGhmM429EBp9MJh8MRcjmOwsLCmP89TUa0v58ZhkFlZeW4CXebzYZt27Zh2bLgG5aFS=
iqVIjk5GX3jNI3m8XhITU0Fn4Wb2p2dnTh69GhEXi+BQACZTAaJRILKykosW7YMCxcuRGFhYURX=
y7G9muFCDMPExQz38zcbAxVL59/f5vF40NDQgHnzgkuqRgvDMOP+zdfW1qK2thb33nvv2GN79+7=
FwYMHsXnzZhw5cgRWqxVWq3VKloGKJGdXH6zHmiErrQQT5I0wSUEhJHm54Um4cxioa2qD3t3Z2w=
HzpvrQ45jivDYrGu+7h5LtZHrw+DC4+SPo7w6ufAjD5UE4WwdnXexMbCUEiKGEO5k61Go1dLoU5=
OTmYdasMuQX5EMkin5JFxIZfr8fFosFJ1uasfOrHairr4PLGVgJi5aWZrS0NAMAahbVomZR8Cfs=
keDxePDNN7sjOhuYxD6n04n2tjbk5OayHUpYiCUSzMjPx4z8fFxz7XUYHBhAS0sz6uvr0NbWiu6=
uLni93qDGjpWyUElJSaipqQlpDKVSGdEbwpczZ84cvPbaa5c87nK5sHXrVtYT7nl5eeMm3HNzc1=
n5fQGjtbsbG6/cNG6y1Go18vLyMH/+fKxYsQLz5s0bK61BpoZwrISJFLfbjW+++SbmE+6TUV1dj=
erqajz44INob2/H9u3bsX37dtTV1aG1tTWmX49Y4re4MHK4Ae41gxAE2TyVr9ZCVJIL5qsD8NtD=
O8cV5GugqFwU9P79H/wlpONPB36vB92v/BH2vbFRNo2QaDBt3Qv93cHvL9Cq4AQl3ElsiduEu9f=
riemZKpdzftn/VKRUqVBaMgtzKiqQn1+ApKQktkMiYeb3+9He3o5tWz/Hgf37Ay4DNZ6EhERWl8=
yPp6+vD91d3XH52ULCa9++vVMm4X4hhmGg0Wqh0WpROXceznZ0oOHEcRw/dhQtzc0TNv/+tuzs7=
AhFOjnV1dV44403QhqDy+Wy0l8l9zLvM6/Xi0OHDsFsNkOhUEQ5qlEymQxFRUXYvXv3Jc+lp6ez=
8vs6X06mvT08K5EUCgVWrFiB1atXY/78+ZgxY0bMfTeR8DhfOz8WeTwe7N69G/fffz8rq0YiLTM=
zExs3bsTGjRuxf/9+7Ny5E5vguii5AAAgAElEQVQ2bcL+/fujXtoyHlnrj8LZcTbohDsASIvzwJ=
VL4bGH1qsk6TvBr8bxWEwwfLgrpONPB7aTjTB8tJPtMAiJKmdDL9zGAfDVmqD2F2WkwoKmMEdFS=
GjiNuFuNBrhdrtYaYYZCqfTGVKSMhbx+XxUz1+A6uoFyM3Lg+JcLXYy9dTXHcG7f30HHR3tU/LG=
UVdXJ6xWmnFFgJ1fbceNN62f0ok3oVCIvBkzkDdjBubNq8KJhgZs/eJztLe3BXzTiY363eORSqU=
xVft4MmbNmjXu4+dvcB4/fhwLFiyIclSjZDIZCgsLx31Or9cjISEhyhEBIyMj+Prrr0Nu0sjn87=
F27Vps3LgRlZWV0Ov1YYqQxKrJ3lCMJp/Ph+bmZpw+ffqyf3NTxbx581BWVoarr74aO3bswIsvv=
ohjx46xHVZMc501wHLwEKTFM8ERBleOUVFeDUGqBp7+0K5Dtd+5Neh9zYe/gbOlP6TjT3U+twtD=
n26Fq5N+T2R68ft8cPWeDTrhzvCn7jUbiV+x3xHpMlwuZ1zWAPT5fHC7pk65ijS9Ho8/8TPcc+8=
PMae8HEqlkpLtU9ShgwfwX7/5T7S2nglLsl2n08VMsu48k9EIhyOw8jhkajOZTNize/rMwkpJSc=
XSq5bhZ//yNFavWRdwXfa8vLwIRzb1XSnR29PTg71790Yxmovx+XzodLpxbzxlZGRc1EwxWqxWK=
7Zv3x7SGFlZWXjttdfw+uuv47rrrqNkO4kJp06dwgcffMB2GFEhFApRWFiIe+65B3v27MHTTz/N=
dkixze2DafcueG0jQQ/BU6ohry0OKQzJgmwIktOC3n/w060hHX86cLSfgnXfkZBL/xASb/xeL+z=
tsbsSjZBgxG3CnbBLKBSiZlEtnv75MygpLQWfL6BE+xTl8Xiwf99e/OHF34d1dhiHw4m590xvTw=
9sIVzMkKnliy++mFY1ZjkcDuRyOe783kbc96MHIJPJJ9xHpVJFIbKpjWEYZGZmjvucxWJBfX09h=
oeHoxzVKIZhoNVqkXKuGfl5KpUKer2elc/wgwcPoqenJ6h9+Xw+Fi9ejC1btuDWW2+lFXkkpths=
NmzevBnHjx+fNqXtuFwuZDIZnn76afztb39Dbm4uOEE2Bp3qRg6ehqMjtFJa6hB7nagXBb/ayn6=
mEfZ9p0I6/lTn9/thP9MOx9lutkMhJHAMwAh5YET/v737jm+rvvfH/5KOtmVZkvd2HI84TuI0Cw=
JhhgxmgTBKWS2BtvTernvb3xfa3tvSXjpuL5RR2tLSlr1JmIGQQRJnD4/Y8d6WLS8Na0tH55zfH=
yEpaZamj2S/n334QeOczznvyLJ09P58Pu+3DIxODUangcyogyxDH9IXY9AeH5eqBh9FriGlojKG=
/yhCYiNpS8oQ8egNBqxZsxarVq9N2i38JDQ8x6Gl5Rhef/1VuN2UiCYzi3l4CNu2bcHatddApYp=
sC3eyWnHJpdDp0vDGG6+ht6d7xiR/xJKbm3vWmuTd3d0YGBjA/Pnzpziq4/Lz81FcXHxKfEajEY=
WFhaLE8+GHH0Y0LiUlBXfeeSd+//vfQ6PRxDgqQmJj7969eO211/DQQw8hNfX8k57TBcMwuOGGG=
6DRaPDwww+jsbExKXcyx5PgDsLyyXtIrVkU8TlS5i2BLCcVwZHwFxNI01RIu+iKiK89eeAAgvbp=
VVY11nivG+76VgTNDrFDIeSspGlKMLoUyHQ6yNOMYDLSoJyVAYlCDlVRHiQyGZTZOZCqQiv9zFo=
nwNrtkEgk0FbXRBwXo6G8FEk8lHAnYTEYjVh3y624aPnFUNMH1mlvfHwcn3y8CSMRriYkJJl5vV=
7s+Gw7cnPzsHjxEshkM+stc978+ZDJZXjlpRfR09MtdjjT2rmaonZ0dKC3t1e0hHtmZuZpK9yNR=
qMoZVh8Ph/ef//9sMelpqbigQcewM9+9jNKtpOEFgwG8Y9//AM1NTW47bbbxA5nSjEMg5UrV+LR=
Rx/FQw89hKNHj4odUsKxbz4I9ltWyNMi65/BqFNgXLcCY898HPZY7ZJyKHIiq63M2i1wHWoB5/J=
FNH6mYK0WuFupnwFJMFIJZFmp0FSWQD27EsqKAiiyjVBkZUGZUwCZ3giJNLRSlPEUpD5sJAHNrO=
wBidqXb7wJK1ZcmnC1t0nssSyLurojONbcRKtbyYw1NjqKjz58HznZOSgqLp5R5SekUinKyytw7=
XXX47VXX8bExITYIU1bs2bNOuvfWSwW1NXVYeXKlaLsKjMYDMjIyDjle5mZmSgtLZ3yWPbu3Yvx=
8fGwxmi1WnzjG9/Aj370oxm1YpgkL7PZjJ/85CfIyMjAlVdeKXY4U0omk2H16tWQSqVYt24d7a7=
8F4FeC+x7tyPz6lsiPkfWl2+JKOGeMnc+mNSzTw6fi7e7A57WToCjzxPnwjnd8A2OiB0GISdpL6=
tE2rILoV28BIrcTCgyc8CoE3Phgs80IHYIhJyGiuSRkN287hZcccVKSrbPEC6XE598vCmmddsJS=
TaCIKC7qwvP/fVZ0epoi0kul2Ppsguw4pLLIJfLxQ5n2lKrz77tlud5HD58WLTnn0wmQ1lZ2clV=
+AzDIDc3V5SV4q+99lpYx0ulUlx//fV4+OGHkZWVNaMmzEhy6+rqwu23346tW2dek8kTK92ffPJ=
JsUNJSKMvb4hqvHr2XCjn54Q1RpquhmZeFaSq8F/3hSALT0s3/ANjYY+daTiHD2y/VewwyEynYq=
C7eiHmvPUHlP/+CeSuX4+0Cy6Auqg0YZPtAMD7/GKHQMhpKOFOQlKz8Eu49bavQKFQiB0KmSI7d=
+zA2Nho3M7P83zCrZyXSCkZQ07H8zy6ujrxP7/8Obq7u8BxnNghTSm5XI4bb7oZ+QWn1+w2mUwi=
RDTz7Nu3DxaLRbTrz5o162TCXalUoqKiYspjCAaDeOutt8IaU1VVhUceeQTp6emUbCdJZ2JiAl/=
/+texZcsWBINBscOZUjKZDOvXr8f1118vdigJx9dggqcz8nI7EimDtIuXhDVGU14CdWlRRK+jAc=
s4HAcOQPCwYY+dSYQgC/fRA7QLgIhGopQhZXkFKp77JSqe/AN0S5ZBbkiHVDmz+lgREkuUcCfnl=
ZefjzvvulvsMMgU8ng82LJlc1yvMTIyAr8/sWaijcb0Gdcck4RuyGTC7/73N9i2dQtsNlvCTRjF=
k1KpxM03r4OUObVG48gIbX2eClarFXv37hXt+qWlpUhLSwMAqFQqUerJb9oU3o4rjUaDxx57DOX=
l5XGMipD4MplMuO+++/Dkk0/CZDLNqPcdAPjlL395WkmrmY4PBDCxKbp7dMOlV0GiDrGyLCOBpm=
oOlAXFYV9HEAT4h4bhPtoR9tiZRuB5BKziTayTGUwmgXpOEQr+az0q/vQU9BdfBamcFlkSEgtUw=
52ck1qtxurVa5GTk3v+g0VyrnqucpkM2tTUGdfsMFqHDh2EVcTVlGLR6/VQKlXw+aipEzmzSbsd=
b77xGjo7O3Dxikswb978GfP6svBLi1BSUoKe7n82UE20SbPpbNOmTfjmN78pyrWLi4tPrnBXq9W=
oqamZ8hi2b98Olg19heQ999yDNWvWxDGiyPE8D7vdDofDcdZjioqKIJXSuhhyPOn+yCOPYP/+/b=
j99tuxevXqczZank5KSkpw9dVX46WXXhI7lMQR5OHccwyBr45AkRleaZgTVMVFUM8vhufg+RuiM=
4YUaBaUgYmonEwQzgMHwA7aIglzZuF5+EfMYkdBZhq5FIY1y5Gz/itIXXiB2NEQMu3MjCwBiVhp=
6WzMX1CTMLV7BwcH0d7WgqGhYdhsVnDBIJzOs3ekLigsxHXX3YCc3MSdMEhEu2t3xv0aVqsFgUA=
goVaUFxQUIjU1FZOTdrFDIQnM7XZjz+5adHZ0oLJyDi6/4krMLiub9iW35HI5Lrp4xSkJ997eXh=
Ejmlm2b98Ot9stSuNUnU6H4uJiHDhwAKmpqcjOzp7S61ssFjQ0NIRcVsNgMOC///u/4xxVaILBI=
Hp6elBXV4e2tjY0NDRAEAR4PJ5zTu5u2rSJmrySk5xOJ95++23s378fixcvPjmhJMbrwVRKSUnB=
VVddhddffz2sCbfpLmAahrP+ENJXR1ZyR6bTIbVmfkgJd0V6OrTVVRFdR2BZWHfuimjsTCPwAgI=
j4TUFJyQaEq0CxhuvRN76e6EqniV2OIRMS5RwJ2elUCpRPW8ecnIiWz0RK4FAAAf278O2rVswMj=
oCv88HlmVDqqPM8Rx8flqtHK7W1ta4X8Pn84LnE6sWdkFhIdIz0mEyDYodCklwgiBgdHQE4+Nja=
GioQ0FhEdasWYuahV+a1o2lFy1ajJdffOHkn6mkzNRxuVzYtGkTbr31VlGuX11dDYZhMHfu3Cnf=
1dHY2IjBwdBfl++//37kJsBE+9atW/GHP/wBBw8ehMfjgd/vD3kH1UzrFUFCYzKZMDQ0hF27dqG=
mpgb33nsvbr/99nM2Xk5mJ5o2FxcXo6urS+xwEgY7OgnX/lYYrlgNqTz8ew6pRouUBTWQpG6C4D=
xHqS4JoKwsgHrWnIji9LQ1wHukP6KxM49ATR/J1GEk0F1cg/xvfA3KghJIJLSjjpB4oIQ7OSujw=
YiqudWibWkWBAEmkwkvv/QCmo42RlS3UvL5/0joerq7wU1Bc64h0xB8Xh+gj/ulQsYwDObNX4Bj=
zc0zrkEZiQzP83A4HGg51oyWY80wGo24+OJLsGjJEhQXl4BhGDAMA6lUOi2aNur1BuTk5GLk823=
PbW1t4HmeSl9Mkffee0/UhLtMJsPll18+pdcVBAGHDh3C6GhoTby1Wi1uvvnmOEd1doIgYGJiAg=
899BD+/ve/ixYHmb4EQYDNZsOOHTuwY8cOfPe738VNN92EO+64AxdddBFkMhnkcnnC7E6NVnp6O=
oqKiijh/kW8AHdbC3yDvdCUhp8Ml0ilUJXkQjUrB96jA2c/Ti6Dbvk8SCKcZB19500gyEc0dsYR=
AIGjx2pGkDLnPybO1GXFKPnvH0KZF9uV7QLPQwiyEHge4HkIvADwAni/D77eNgTtZy9Zq7twJSQ=
KOZgE2v0+XclkMnz7wW/h2w9+Ky7n7+sfwM0334T6urqoz5XsvWso4U7OKj0jA8XFJaJcWxAE9P=
f14ZWXX0Rzc1PE50lJSYFaE37NwZls0jE5Jdex2+1gg4m3PXjJkmX4+KMPYbVaxQ4l4ckYegv5V=
1arFR988B4++OA9ZGZmoaKiAiWlpSjIL4Rer4dao4FarYZGo0nK2u9SqRSZmZknE+7A8R0x1dXV=
IkZ1vGyHyWQSNYZonKuW9xe99957cDqdopQamT9/PhiGwaJFi6b0uhaLBY2NjXC73SEdv2jRIuT=
l5cU5qrPr7e3F9773PWzatCnic0zX1cokPpxOJ1588UW8+OKLyMvLw4UXXoilS5fiwgsvhE6ng0=
6nQ1paGgwGQ1K+75xIuJNTeVp74GnthrqkApIIJr1VxaVIqayCt2kAOEs+g9GpYbjsqojiY+0WT=
H7WGNHYmUjgePibQptYJslNO3+pqNeXqGXI++HdMUu28wEfWKsF7LgFAfMYnHX74e3vRWDMCtZs=
B2cO7f4Nst8gc/01mPVQYpQEJCQWku+ui0wJhmEwu6xMtA99LMvi3Xc3RJVsB44n3DX0wTUslom=
JKbmO1+uBzWpFYWFifYjKycnB6jVr8fprr4odSsJLT88Ia2XzTEsijY+PYXx8DHv27AYAZGVlIT=
MzG5lZmcjMzERmZhaMxnSkaLUwGAzQarVgGPFXvZyLRCKB0Wg85Xv79u0TPeFusVjw4IMPihpDN=
EIt4+VyubBt2zbceOONcY7odGVlZTAYDFP+s+7t7UV7e3vIx19wwQUwGAxxjOjs3G43/vKXv2Db=
tm3g+chXKpaXlyf8awFJTMPDw9iwYQM2bNgA4HjT0RNfFRUVKCwshNFoRH5+PvLy8qDX6xN+Jbx=
KpaJ+BmfA231w1dVDf+kKyFLTwh4vS9VDNWcWpClK8K4zlzLRLCuFMrc4ovgsm98NPdFGyAwhNa=
jAaMP/fY0l47pLkX5VZP0fvojzuODpaIXzQCOcDfVwNbSCG3HFIEJCpg9KuJMzYhgGcyoja5ATC=
2azGUcOH47qHAzDID0jg1a4J7Bjx45hQc1CscM4zarVa9HR0Y66I0fEDiWhZWRkhFXzb1bp7DhG=
k/jGxsYwNjYGHDv+Z7VaDa02FWq1CinaVKSlpSE9PR2FhUUonV2GrKyspKgHv3nzZtx///2ixsC=
yLOrq6o4/vtPcxo0bRUm4A8Add9wBvX7q6oDxPI+2tja0tbWFdLxMJsOcOXNEayTZ0tKCLVu2wO=
v1RnWempqapFyJTBJPX18f+vr6Tv5Zp9NBq9UiIyMD6enpSElJwdy5czFnzhzMnTsX1dXV0Gq1I=
kZ8Oq1We9pELznOXrsP2ffcFVHCHQC0CyohzzDA7zpzPxbjlSsiOi/v88K6aXdEYwkRi1SpiPs1=
1PML4n6Nc2HyU1H0/R9EfR6/eRCjL78C2+Z9CAyOQQhE33dGIpFAni7uZAQhsUZ38+SMpFIpskV=
slnr40AEEoyw3kpKSgvz8AlollsB6e3vEDuGMNBoN7rzrHpiHh2E2m88/YIYypqcjPT0dQ0Ohlf=
JYUFMT54iSi9frPSUxJ5FIwDAM5HI5FAolVColysorsHTpBVhQU5MQOwSkUikyMrNO+d6HH34oU=
jT/pFar8aUvfQmbN28WO5S4q6+vh81mE2UV9/e+970pvZ7L5UJjYyM8Hk9Ix2dmZiInJ0e0ngI9=
PT0hTw6cy/LlyxN+1TFJTg6HAw6HA8PDwye/t2XLFiiVSqhUKqSnp2Pp0qVYuXIlbrzxRuh0OhG=
jJecT6J6A6/B+qCMsAapdsBTyzGz4+05PuEt0CqRfE1nPEGfTIfhaQm90TUgiUBXmwYPeuF5DPT=
u2NdPDlX7dpZCnZ0d1jqDDhs4fPQTv4T4I/hiWh5VIIDckUHM3QmKAupyRM2IYRtQaqIFAIOpz6=
A0GlM4ui0E0JF6ajjYmbHPSnJxc3Pv19cjIyJyya0oZBtIkmiCSSqW4cuXKkJqBVlRUory8Ygqi=
ih2JRDKljU4FQUAwGITX68XkpB2jo6PYs7sWT/z+//C97/wbnv/H32CzWUVvHiORnvqY+Hw+7N+=
/X6RojktNTcW11147I5q3WiwW0R7vqb4vsNls2LNnT8jH5+TkICMjI44RnZvX6w15cuBsMjMzsX=
jxYlrhPkNN9fsOAPj9fjgcDoyNjaG1tRUvvvgi7r33XqSlpeEHP/gBBgYGwHHRr14kccALmPjk4=
4iHSxUKaC+tAOSnv3fqrqwGow5/l7Ag8HAcrgPnjm6nDyFTTaqI8wp3CZC2WMT67RLAuPKaqE7B=
WsfRfPc98OzpjG2yHYCEYaAujmJCQqCmwyTxTP9PpiQiepHqn8aKVCpF9dx5KCgQd9sWOb/aXTv=
FDuGMpFIp5s2bj7vuvgcls0rjmsiTSKXIyc3F2rVXY+nSZUmVaLly5SrMrZ53zgSBXq/H9TeIUw=
IjGqWls7HsguNN56Y6AfKvnE4HNn/yMX7zq0dF3XXB8zzGR09v6vXBBx+IEM0/KRQKrFixAosWL=
RL9ZxVvNpsNe/fujapGeLIwm82or68P+XiVSpUUZZjORiKR4Nprr0VJiTgN64n4qqqqsHr1amRn=
R7cCMVaeeuop3Hrrrdi3b5/ok73kzFz7OhEYi/y+ILVmASTM6fed+guXR3S+wOgQnDuaIHhjm4w=
jyUfCJFeqSTsvvmVO5cUGaOaKt9tXOScb8uys8x94FgLHwfzy8wgcjU9zX4lSDtXsORGP9w3Rrn=
SSeJLrVZBMmaxMcW/0oy2dYExPx8pVq2MUDYmnnTt3iB3CWTEMgwsuXI771t+PFZdcCm2Mm3YpF=
ErMnj0ba9dejfXrH8DtX/kq8nLzkiphqFKp8LWv3YcvLVp82u8twzAoLCrCrbd9BfMXLBApwsgV=
FRXjvvUP4M677sGyCy4UrS70F5lMg/h08ydih3GaHTt2wOl0ihrDnDlz8MADDyRMoupsoi0V4vV=
60dTUBJvNFqOIEtdnn30Gv//MzfzOJC0tTdTmiiqVKqr7l7y8PFxzzTVIT0+PYVQkmcydOxfPPP=
MMHnvsMdxyyy2iLxzheR5HjhzB1q1b4fP5RInB6/XC4XCIcu1kILiDML/614jHp9Ysgyz31LrJ0=
jQldMsujeh87pYW+L9QsogkLz7KHeeKnKnbJRwLyqLSM+72iBXdhYsgM4hXo1xdVgwmJfJ7FP9w=
H+yfHIxhRKdSzcuDwhj5hEDQRu8TJPEkzzJKMqOUzS6PavxNN61Dfn5+jKIh8dTV1YmhoaGE/nm=
Vl1cgOzsHixYvwb69e9Da0gKHYzKic0mlUmRn52Bu9TxUVFSgsKgIhYVFSbWq/V/l5efjnnu/hu=
6uLpjNZgQCAUgkEhiNRpTMmoWiouKkXXWq0+lw6WWXY978Beju6kRDYwOajx7F2Fh8VnecjyAIc=
LnES2wLgoDJydOf+729vaitrcU110S3VTUaarUat9xyC+x2O/7v//4P4+PjosVyJgsXLsRdd92F=
Z599Fp2dnVGdq6+vDx0dHVi+PLIViMni7bffDut4rVYLjYiN0nNzc1FYWIiOjo6wxyqVStxwww2=
48sorqffMDJeSkoI777wTK1euxJEjR7Bt2zZ88MEH6OnpEWVnC8dxcDgcYFlWlF4ibrd7RkwwRs=
P6zm4UfNMNRh3+wgCZzoDU5RWw9v7zPVOzoAQyffiJQc7rhqvuGNhR+nlNB76B6CZO5OnJtWNek=
Z0FeaEBbI8l5udmDGqkXXxRxA2OY0GRnhlV2Rx3ewuCE/H73TZeHdkkHyFi4CZDK5uWvBkeMq3N=
Ki1FRWUlOtrbwx57zbXXYcUl9IKdLLhgEDs+24Y777pH7FDOSafTYdmyCzBnzhxYJibQ2tqK5uY=
m9Pf1nvODIMMwyMzMQlFxMYqLi1FRUYmMjEykpqZCrdFMi5rTJyYRsrKywbLsyYSAXC6fNokjo9=
EI47ILUDW3GtbVa9HW1or9+/aio6N9SmvbyuVyLL/o4im73r/ieR5jY2OnfX9iYgKbN2/GVVddB=
UW8a2Ceg9FoxIMPPojq6mp8//vfR1dXl2ixAMcnAS6//HLcddddWLZsGYqKivD6669Hfd6uri60=
trZO64T78PAwjh49KnYYYamursaiRYsiSrhfdtlleOihh2h1OzkpJycHV199NS655BI8+OCD2Lp=
1KzZu3IgtW7ZMaRzp6elYuHChaLu87Hb7KU1eyelYkx22HZ8g4+p1EY03Xnk5rK/+s19G2tKlEd=
Vv95tNcNU1AOz0L3k2E3BOd1TjtZVVMYokNJ72RmgqIy/ZwqRooKkoxmQcEu4pC+ZAu6AaEhE/F=
8l0aZDIIt9l6TeZwftC33UYDkmqHJnX3x6XcxMSD2yfPaTjKOFOEpImJQW33Ho7nnzicbhdbgDn=
rxup0Wiwes1afPnGm0VN+JDw1R05gmuvvT7hewdIJBKkpemRlqZH6ewyXHvd9QCOr/4aGx09Zcu=
zVCpFYVERVCpVTGPw+XwYHh5CXgLuCJBIJNP+d0+r1UKr1aKouBir16yFzWrFwYMHUF935GTy/c=
RXLMlkMqTqdLj33q9j8eIlMT13OIIsi+HhodO+z7IsDh06hLa2NiwQuXzQiQaqq1atwuOPP44//=
/nPGB0dRSAQiNvqUKlUCoZhIJfLIZPJsGzZMtx+++244YYbkJUV+fbYs3G73WhubobD4YBOp4v5=
+RPBq6++mrBNtc8mIyMDP/zhD9HW1obGxsaQal4rFAosW7YM77zzDrRa7RRESZKJVCqFTqeDTqd=
DeXk5HnzwQYyNjeHDDz/Ehg0bcPjwYTidTrAsC47jYvoap1AokJGRgYcffhi33367aBPok5OTGB=
kZEeXayWRswyakr7kREmn4Pyfjyi8Dsl8DQR6SFDlSFiyCVBXebgZBEOAfHIGntTfs65PpKXXxC=
kAqAfip6f/AuaPbASpL0yN18QWY/LQ+pjHLslJhvHkVVEWlMTtnJJSFZRHtgjlBCHJAnHp5ZN55=
lair/wkJhyDwIU8sU8KdJCSJRIKqqrn49rf/HZ9u/gSDg4NwOo9vZ/0imUyO1NRU5Ofn4/IrrsT=
iJUtjnuAk8We1WVFbuwvXXHtdUq6IZhgGuXl5yM3Lm4KrCTOiWWKyMBiNWLP2aqxZezUcDgc6O9=
rR2dGBgcEBOByT8Hl98Pl88Pt94HkeHo/nvOeUSqVQqVRQKJTQpGiQnp6BefPn47LLrkBamrg3o=
+dqYNnQ0IAtW7Zgzpw5CTHxolAo8NBDD2H9+vX45JNPsH379pNJapfLBY/HA5fLFVZSV6/XQyKR=
QKPRQK1WQ6PRIDU1FcXFxSgrK8Py5cuxfPnyKfk57dmzB8PDw9My4R4MBvHKK69ENG4qd5ycyeL=
Fi/Hss8/i0UcfRVNTE8bGxuB2n7pKkGEYpKeno6ysDLfeeiu+//3vixQtSUZZWVm47777cN9998=
FsNqOlpQUHDhzAsWPH0NPTA6fTCY/HA6fTCb/fD7fbHdJ9Q2pqKjQaDdLT02E0GnHttdfipptuQ=
mVl5RT8q86M53kMDAygp6dHtBiSha9+AO6WemjnRTYpn3b1Akx+0AB1ZQHkOeEvgOE9Lti2fQre=
Hp8VsGTqca7ofpYynQGai2bDs3tqdhv6zEOIpouLVKFE6tL5UFXlw3fMFJugGCn0q1YgY821sTm=
fiCQKGRCHPmPyQgOyb0vsne6EfFHAPBDysZRwJ2fkdInfdEImk2HR4iWYXVaOzo529Pf3w+GYhN=
PpBM9xSNXpoNfrUVBYhMqKyoRfHU3Ozuf14sjhQ1i0aDHyRW4QluiCwSA1D0tQOp0Oi5csxeIlS=
wEAjslJWK1WWGTGmNcAACAASURBVKwWTNrtYFkWo5+v0mOD7PEkyOfJQamUQUpKyvEV0nI50tPT=
oUtLQ3ZWNnLz8kSpm3sme/fsPuvfeb1ebNiwAWvXrsXcuXMTpvlvZmYm7r77btx9990YGhrCwMA=
ATCYTRkdHMTQ0BK/XC57nYbfb4fWeWo9Pq9WekjwvKysDwzDIyspCZmYmsrKyUFhYKEqphfb2dp=
hMJlRWVibMYx0rnZ2daGhoCHuczWaDw+EQvSfIsmXL8MYbb6C2thZ1dXUwm82wWCzw+XxQqVTIy=
8vDvHnzcPnll4seK0luubm5yM3NxcqVKwEcL7/S39+PsbExDAwMwOFwnOytwrIsxsfHT9l5YTQa=
oVarIZVKkZ+fj+zsbFRXV2Pu3LkJ0XvF6/Vi//79cLlcYodyCkEQwIWw+3YqcR4P7Lv3RZxw1y1=
dgskPGqAqKoY8PSPs8UG7Hc5DyVUGjJybvyX6fkVZN9+AvgNPTEmZIV9f6Emws1GXliPtoqXwd4=
9A8EW/yy714nnIfeBuSJXi38dzrkkIQTbisjKq/FxIVSrwzthNqkk0cmR+5ToocqNftCbPMALoj=
z4oQs7D0x76ex0l3MkZjY6K0xDwTNLS0rBk6TIsWboMHMedXKmj1WqTutEkOVVfXy8OHzqIjMzM=
hPiQl6gCgQAsltjXFiSxp0tLgy4tDSWzZp32d8FgEF6PB9znqw6lUinUajXk8shrK8bb6Ogo2tp=
aznnM4cOHsWHDBpSXlyfEKvd/lZ+ff8YEJ8/zcDgc8Pl8p3xfo9Ek7AryyclJ7Nu3D5deemlCPt=
bRiLRGtcvlOm01uVhUKhVWrVqFVatWATg+GeD3+6FUKmGgBQIkTvR6PfR6/Rn/jmVZWK3WUxLue=
r0+oXeGOp1OfPLJJ2KHcRqfwMPKJVbJK8HHwnXgGAI3DUGRHf5Enm7JxZAaXoa6qhwyvTHs8Y7D=
++DvSqxm5SQ6gicIv7kfytziiM+hv/hypF68Bc4dTTGM7MzcR6MvZyRLTUPmrTfC3dEJ167mUKr=
anlXqJXNR/N8/hLq4LOq4YoEdHwbv94GJMOGeUjUf8iwDguOTsQmIkUC/+mJk3nwLmDBLWJ2JMj=
c7BkERcn7e/r6Qj03+bn0kLthAAOYEbFDEMAx0n69sp2T79OL3+7F9+zb09/WFVPd2pmJZFlaLJ=
elqG5NTnajJfiI5otPpEjrZDgAff/Qh/P5zr2oJBAJ44okn0NQU/w9WsSSVSqHX65GTk3PKV6Im=
20+ora09rdTadBBpgm1iYuKcTazFZDAYkJOTQ8l2Ihq5XI7s7OxTXuMSOdkOAB999BFaWs490Ss=
GDseT7glFAHy9A3C3R/Z4yTOzkLJ8NtRlBZBGkJCzbtsKBBPsMSFR8/a0RzVenpGJ3PvvgaIsM0=
YRnV2gbwyB0ehLwahnV6Dg3+8Dkx1hgRolA8NNF6PkFz+FZvacqOOJFdZmBR/FPaMipwCGa5fHJ=
hgJoF1Whfxv3QtFNiXKSXJxNof2PjvE+inhTs6M43gMDNCWHDK1xsZG8dFHH07LBFIsWSwTsFgm=
xA6DzCCDg4PYv39fSMdarVZ8/etfj3NEBDi+Eny67Xipq6tDW1tbRGP7+/sxNHR6U19CSHL6+c9=
/nrALDDw8By8vbs+IfxUYtsLd0AGeDYQ9VqpUQn/xBVAVFYU91jvQhckPwi8DRhKfuyOy9+MTJF=
IG+osvQ8Wf/hfaFXOPN1GNE27SEfGE0xdJpAx0S1ag5pO3oL6wMKyxTIYGBQ9/DaX/80uoSxJjZ=
fsJrMUCIYLXhhMkUgY5d30dykW5UceScuVczH7iUWgqqyGRUEqSJBdPY2h9ZWx8kBLu5Mw4Loi2=
9jZqzkim3MED+7Djs+0J+wErEUxYJhKq7FM4BEEQvakhCY/P58Wmjz6Ay+UMeUxTUxO++93vJkx=
5j+nso48+EjuEmKqvr8fkZOTblaMdTwgRn8/nw8MPPwyTKUaNC+PAwQfhTLCEO1geziNH4B8Ov5=
a1VKWC8YqroSmrDnvsxIcbwx5DkoOzLjY7TDRl1aj8yzMo/8fPkPmNtUi9rAaaqvJTvtKuXYrsf=
78BZc/9Fypf/RWkmvB24ATtTjgONEKIUbknWZoR1S+8gtJn/h9SL18IZVEOZFlpYPRqSLUKSNNU=
kGWkQlGQBU1VOfIevgNz3/wz8u79JhiNNiYxxJKnox+cy3v+A89BlqpH9fMvQHvVAkhTwisBK9E=
ooCzJQ/5Pvoo5Tz4FZRb1sCHJx9PTCrbLHtKxQUGgGu7kzHieR0dbGyYn7TAYwq/jR0g0Xn75Ra=
TqdFi27AIwDCN2OAnHMmGBaXAQ1dXzku7xYVkWI+ZhFBWXiB0KCQHLsti3dy8a6uvCnih54YUXM=
G/ePNx9990J0/R1OnrnnXfw4IMPih1GTPh8Phw4cCCqhPnOnTthsVhOaXZLCEkewWAQ7777Lp56=
6imxQzknK8dikg8iC4nVQ8PT0gNvdz9UhaWQSENfWyeVKyKq1c153bB+tCfscSQ5+FtHELRbINO=
nR30uRp0Cw6XXwHDpNec91tV0MOzzC34OnqNd8I8MQZUfed35L5IqVMi4Zh0Ml6+Bf6gPvsF+BC=
wWcJNuSDUqyI16qAqLoK1eHJPrxRPbZ4O/vx/qM/SWCocsVY+yR3+B8Xc2wlFbB2/fAIIjk2esd=
y/VKSDLSDv+GC2tRvq1a6AuKY/q+oSIyVl3IORjh4M+SriTsxsfH0NDfT2uuHKl2KGQGYYNBPDK=
yy+CZVlceullYoeTcIJBFu3tbbhw+UUwGpNrQsxut2HPnt2UcE8CHMehuekoPvzwfdjtoc3kf5H=
D4cCvfvUrMAyDO+64AxqNJg5Rkv3792N4eBh5eXlihxK1/v5+dHR0RLULprm5GbW1tSgtLY1hZI=
SQqbJ161Y88sgj8Hg8YodyTjYuiMkEa5wKANyEB86DB5B24YVgNClxv97kvh0I9FCZw+kqODGJy=
cN7kH7VDWKHEhJPWydcjcdilnA/gdFooSmfB035vJieNxKyKBYUWLZ+BP3ll0cdgyIrD7n3P4D0=
L4/A19cP1jwJ/0AXeN8/V9CrSirBpGshz9BDVVgIuTELkiRbKEbIv5qsDb18molquJNzcTpdqK8=
7AstEct5E2axWdLRHV3eOiMcyMYEPP3gPx441ix1KQmo5dgxm83DSNZjdumULzGaz2GGQEFgsE3=
jnnbcwHEUD7f7+fvzsZz/Du+++S70Z4sTtdkfcZDTRNDc3o709ugZtHMfhscceg9MZegmkRDI2N=
oaGhgYqq0ZmpH379uGRRx5BR0eH2KGc1wTHws4n5vuabdtucK6pKelm274XAr2/T1uc24vJXfVi=
hxEyzuKCfdtnCEwkbunNoNMO+75tEY9XF0e+Qt32/gH4hmPTp08qV0CVVwT9RZcgc911yP3WA8j=
/zr+d/Mq8/Uakr14N3aJlUGTmhpRsD7om4WzYC9Y6FnY8KZVVkfwzCAmZp7MZ3qa+kI8fDlLCnZ=
yTgObmJrS0HEu6Wu4sy2LLp5vR29srdigkCoMDA3j2T8/gaGND0j0H483lcqJ2546kSmL29/fhg=
/ffhUA/y4Tn8Xjwv7/9Nbq7uoAoJ3WGhobwjW98A9u3b49RdORfvf3222KHEDWfz4ejR49iZGQk=
6nM1NTXh8ccfj0FUU++FF17AkSNHxA6DkCnX1taG73//+9i/f39S3PP5BB79rA/+BIw10DUBd9P=
huF/H29MGT10nwCXX4g8ShiAPd10zXMfqxI4kNAJg+2QPPMfaIAiJ97sJAINP/xre3u6Ix0vlkZ=
ex4p0+mJ//Y8Tjz4VRp4DR6k5+hVPSCgAEgYfr6FGMvfN+RJN4DJWvJHE2eeAAWIs1pGOHWT+8A=
k8Jd3JuXq8XWz7dDNPgoNihhIzneTQdPYrPdlByZzoYHx/Hn//0DOrr6xAIRN5ZfTrat28vWo4d=
EzuMkDidDjz5RHImwGYSlmVxrLkJj/z8vzAUw2Z1brcb69atw4YNG+BwOGJ2XnJcY2MjBgbCb5K=
XSCYmJtDU1BSz8/385z/Hjh07kiJxBxxfmb99+3a89NJLcLlcYodDyJThOA5NTU1Yv349Dh4Mv2=
6zmAZYP7xCgjVO/Zz51dfifg1HfT0Co+Nxvw4Rl69nCPZdB8GzU/c5TKrWAJBENFbwBDH8t+cQt=
CTWLn0+4Mf4xtcx/tfPIIi4i238r5/B2ZR4E/uBkWGYnnwavI2FhKHK1ySxBMZH4PisAbzDF9Lx=
/awXAUq4k1B0dnZg48Z3kuYDYEvLMfztuWcR8PvFDoXEiM1mw5NPPI6PN32E8fHwt5hNV4FAAC8=
8/3eMJHiJFqfTibffehPmKEqTkPhzuZzYs7sWzz33Fwz0x2a76Re53W7ccccd+O1vf4u2trao6n=
STU3k8Huzfv1/sMKIyMjKCQ4cOxfScP/7xj1Ffnxxb4Ts6OvC73/0uppMOhCQ6p9OJjRs3Yt26d=
di7d6/Y4YStLeCGi0/M9zL3/m74h+M3ERt0TcJd1w7Onti19kn0BG8Q9k8+g6etZcpKWWrK5kVV=
79tV247hv/4VPJsY+QCBC2Jyby2Gnn4ZAESfqDI9+Wf4R4dEjeGLfKZeDP7vY/Ac7IPcmAWZPrl=
6lJHpTeB5uI42wtPZFfKYHtaHgCBQ01QSmkMHD0CtVuP2r3wVaVE06oi31tYWvPrKS7BardSgb5=
phAwG8+cZr6O3pxsqrVmNOVRXkcrnYYYluZMSMV155CXfeeTdycnPFDuc0Pp8PO3d8ht21u8QOh=
ZzD6OgIPv3kE+zduzuiBqmhCgQCePzxx1FfX4/vfve7uOKKK6BUKuN2vZnC5XJh+/btuO2228QO=
JSIcx+Ho0aMwxXBXBQAcPnwYv/zlL/Gb3/wGc+bMiem5Y2loaAg//elPsXXrVrFDIWTKdHV14bn=
nnsPzzz+P0dHErbd8LoOsD8NBPwrkKrFDOY3gCWJs42so/Lf/F5fze3u74W5qBngqJzMTeFr6MP=
b2RhTNmg2ZNlXscEIy+sKHUBTmI/u2r0CqEO93VOA4OBvqMPynFxDoP55o55ziTlS597Vh9IVXk=
ffN9ZCliZvcZq1jMD39J1jf3QMAkMjkkMjC/4yvKq6IdWgkQkaDHj/8z//E2Nj0WCgZtFth314L=
dji0cjJBQUBHwIOAwFPCnYSG4zjs3PEZ2CCLu+66N+GS7hzHoa21FW+++Rr6+kJvZECSC8/zOHT=
oIHp6e3DRRRdj9Zq1MBrTxQ5LdPV1R8AwDL5yx53IyckRO5yTAoEAdtfuwqaPPoDHQyugEpHf78=
f+/Xvx8aaPYB4enpKyTT6fD59++ina2tpw3XXX4cc//nFCPW+TUTAYREtLCwYGBlBUVCR2OGELB=
AL49NNPY35elmXx6aefQiKR4NFHH0VVVRUkksi2qMfL4OAg7rnnHtTW1tKuDzIjBAIBvPfee3jy=
ySdRX1+f1PcHHIBajx3L1In1uegEy1u1yLvv38GoU2J6XoHj4Gvvh6+Tdi7OGEEB1o3bwaSpUPw=
fD4sdTWj8HMx/fBXyDD0y1t4oSgiCIMDdfgwDv3v6eL+DGExQMSnaqM/Be/yYeGszFHlZyFx3S8=
xfI0Ll7evA0JPPwbY5+h1OitzCGEREYkGn0+GrX/2q2GHEhMDzcNY3wPbR7pD7lQwH/TAFfeABK=
ilDQsfzPHbv2oXf/fbX6EugZqQcx+Hggf14+ukn0NHeTg0Zpzme5zE+Nob33t2In/74IezauUPs=
kETHcRwO7N+HV15+ERMTiVGvMBgM4p2338LfnvsLbDab2OGQM2hva8NPfvwQ/vzHZ9Df1zelPRI=
4jkNvby+efvpp5Obm4o9//GNSJ10SwfDwMFpaWsQOIyIsy2Lnzp1xObfX68W7776LL3/5ywlXdm=
f37t1YsWIFduzYQcl2MiPs3r0bl112GW677Tbs2bNnWrzub/ck7j0OO2rH5IHY3yezditstZ9B8=
IlXh5pMPd7px+jTG9H9ix+JHUrIgmY7Bh55GmMbX5vSGvQnOA/tROsd34bnQDsQjE2OQrvw4pic=
JzjhwOCvn4X5+b+I8th4utvQ+/AvYH13BwQv9WkjiYn3eWH6w9PgJkO/X2kPeGAOHn9O0wp3Erb=
u7i783+9+gxtvWodFixdDrzdAGmYX6lhgWRZWqwW7du3EB++/B5Yaas44NpsNf/rjH/Dhh+9j7d=
XXoLKyCkajESqVKuFWMYZCEATwPI9I1z4cPnQQNqsVt91+ByoqK6FSTf32SZ/XC/OIGW+8/hoaG=
5KjdvLZuN0ujI6OQK3WQKPRgGGYpHxenRAIBDA5aUdfby+2bPkU7W2tCdOI+Dvf+Q6eeeYZ3H//=
/Vi9ejXy8/Oh1+vFDitmgsEgXC4XbDZb3BJMQ0NDaGxsxKpVq8BEUfdUDDt37sTIyEhcr9HV1YX=
Vq1fjRz/6Ee69917k5uZCoVDE9ZpnwvM8TCYT3nzzTTz22GNx/3eT5OJwODAwMACGYZCWlibKcz=
SWvF4vJiYmcOjQIfztb3/D5s2bp93k0gTH4rDXgSVqndihnEYIsLB8tAOGFasjKtFwNuyEBc5Dz=
TE7H0kulpdqIZH8FLl3fx3K/CJIE7zEZ3DEiYFfPQt2YhIZ110PZW5+XK8ncEEEJiYw+sZLGPn9=
W2c8hrW44xpDqARPEMP/+xp8ff0o+O5/QpGdA2kMXyvOJGAZx+Te3Rh68lkEuk8v0SGwAfAsG/7=
zSiKBNEMNfsIbo0jJTMf7POh/7FfwNYTeL8/H82j3u2HnWACUcCcRslgseOGFf6Cu7jCWL78YFZ=
WVyMzMmpLEO8uyGB0dRXPzUWzfthWDA/FrCESSw+DAAP72178gLz8fNTULUVk5BwUFhUjPyEiKD=
6sOxyQmJiYwYjajq7sLfBQfRru7u/DUk7/H6jVrUFOzEEXFJVCr1TGM9sx8Ph/6+3rR0FCP2l27=
YLEkxkr7aBw5chhmsxnFJSUoLi5Bdk4O0tLSYDQaodMlRyIkGAxiYmIC5uFhDAz048jhQ+jt60W=
QZcUO7RQ8z6OlpQX/8R//gfLycqxatQqrVq1CeXk5SktLp+Q5HGsOhwNDQ0MYHh5GZ2cnmpubsW=
/fvritQvf5fGhubsbExASys7Pjco14ef7556fkOi6XC7/4xS+wefNm3H333bjiiitQVlY2ZRMUf=
X192LdvH55//nl89tlnYBPs95CIb9euXbj//vtRU1ODhQsXorCwEPn5+cjJyUFhYWFSvO/4fD6M=
jIygp6cHe/bswbZt23DgwAH4fD6xQ4ubVx0jCZlwBy/A19QHT28HUsqrY3Zax/494MyumJ2PJJk=
gj4mXtsLXOoiMdddBt3QxVEWlYkd1TvyEB0OPvwDnoXrkfO0upFRVQW7IiOk1BJ5HYGwYzkN1GN=
/4Ppy7zz4pFeyNbmcMk64BZ4ndAg7rm3vh7RpC1m23Qnfh4uMTKTFOvAcmRuA+1obxDRswufUwB=
M+Zd8iw42YErWNQZIc3MSJhJFAU6OGjhDuJAT7IYmLTu7C88VlY48xBP5r8LpzI5lDCnUQsyLKo=
r6tDa0sLKirnYO7casypqsLs2WWQyWL/1AoEAujsaMfRpqPo7GhHd3c3Av7E6DxOxMfzPEyDgzA=
NDmLnzh0oKS5BXn4+CguLUFxSgoKCwoRJ2vn9foyPj8E8PAyTyYTBwX6MjozCbB6G1xv9TYLb7c=
K7Gzfg4IEDqJ43DwsW1KByThW02uhr/p12LZcLrW2tONbcjKajjTCbzeD56bF6jeM4DA4OYHBwA=
Ltrd0GbmgqDwYDMjEzoDQZkZ2cjKzsHmZmZMBiMMBrFbTp0gtfrhdk8DNPgIAYHB9Hf34fBgQFM=
TtohCInf3KyzsxOdnZ14/fXXMW/ePFRXV2PBggVYsGABqqqqYDAYxA7xNBzHYXx8HAMDA+jq6kJ=
vby+6urrQ19eH/v5+mEymKUmuNjY2YnBwMKkS7na7PW7lZM6E4zjs3bsXzc3NWLJkCZYvX461a9=
diwYIF0OlinzDzer1oamrCjh07UFtbi507d8LpdMb8OmR68Pl8aGpqQlNTE15++WVotVoUFRWhs=
LAQs2bNQklJCYqLi5Gfn4/Kykqkp6cnxI4Wt9uNrq4u1NXVoampCR0dHWhra0N3d7fYoU2Jg14H=
ugMezFZoxA7lNIHRMTgP1cU04T7x4ccxOxdJUiwP175WeNv6kLJgDrTLFiJlXilSqhZAkZkb8Wm=
Dzkm4W4/C09kLPta7MH0cHFvq4W3vQ9ryJdCvuRS6JRdClhp9Dwa/uR/2PXtg/3Q/XHVN4M6zgl=
0QePABP6QKZUTXk88yxDThDgDeun4MdjyNlC/NQdqVy6FbPB/a+UujOqfA8/D2tMJxqB7O/Q1wH=
mxAcMQRo4gJiZ/Jfbsw/MdXIbhDL53GCwJ6WS86Av/83ZRUza1OiE/fTsckzOYRcFxo/6DU1FTk=
5OZCFuctL6Gw22wwm0NvGmM0GpGdE/kbUSwNDvTD5YrNCgWlSgWDwYCsrGyUlZWjoqICs0pnR/U=
B1u12o6+3Bx0dHWhsqIfNboPVag1pdaZUKkVWVhYMIjbVnLTbMDx8/ueGUqlCQYKsXLLZrBgxh7=
5tJpFJJBJoNCnQ6XTQpqaisLAQBYWFKCg4/pWWlhb3XRnBYBAWiwXjY2MYGhqCyTQAs9kMh2MSb=
pcLTqcLbBzr5jEMA71eD4PRiHnzF6CivAKls8uianzs9XrR19uDuvo6dLS1wWKZgN1uD3mbeGpq=
KgoKxW3sOD4+honx8ajOoVQqodFooFZroFKpYDAakW5MR0FhIbKyspGRmYmsrCzI47zVtr+vDxb=
LBMxmM3p7ezAxMQGn0wGX0wm325302/elUinS0tKQmZmJ9PR0FBUVYcmSJaiurkZ1dfWUNwk1mU=
wYGRmByWRCT08PTCYT2traPn/cnbDZbHA4HDGZPAuXQqFAVVVVUpXjOd64V7za6kql8mRCc9myZ=
Vi+fDmWL1+OzMzMiM/p9XrR0NCAvXv3YseOHejq6sLg4CDc7tC2kJeVlSEvL0+0ElYulwsNDQ1n=
fO1gGAYrVqwQIarTDQ0Noa+vD8FgaJ8d8vLyUF5eHueozu9EWaHeCPohpaR8fk+j1cJgMECv16O=
8vBxVVVXIzs7G3LlzUVBQEJfJoxNYlkVPTw96e3vR1taG9vZ2NDU1wW63Y2xsDDabLeSfyXRygz=
YDP8mYJXYYp5NKoMjPhjIvL2andDU0QvCLe28h1SihmlUIRhv5c91vMiMwFJvPPOqqWZDpIl8QI=
HAcXIcbYxKLGCRqGeTpaZAbM6Asy4VydjYUWRlQF5dAqjrzgichGIR/1AzO7Yansw/ssB3BIRtY=
6wRY2yT4yTjuipFJIc8yQF1VgtQLqpB24YXQzl8W8nCBC8I/1AdnwyE4DjbD29gLv9l83kT7CVK=
1Cpp5lZBII5swdbc0g3fG7/OjNE0NRYYRyopipF40F9qqKmgq5kOWev77S9Y2Dk9HM1ytLXA3ds=
PfOojA6PjxGtghZB5lBh1UswohkYc3GSHwHDytreBdkT8uEqUMqlkFkKVFvogqMDIGf78p4vHhy=
vnGTcj/zr9F9VpITuU4sh8Dv34KnvrusBodO/kgfmvpxxb3P0slSRDS056Q8DAMc/IrLy8PRcUl=
yMnJQXZ2DvR6A+QKOfLy8k/WmHY6nRgeGgIA9PR0wWazo7urE6YhE3xeHzgumPRJIyI+qVR68ut=
EPe7KyiqoVEqUzJoFuVyB/Px8KJXHn5cKhQLZOTnQaE5dscSyLEZHRk5JngQCAYyOmuHxeGC12T=
A2MgKb3Yax0VHwPA+eF8Dz3Of/X5zGvid+JxVKJXJycjB7djkMBj2KS2ZBrVJDLpcjJzf35L/X5=
/NheHgIbIBFX18vrFYbujrb0dvbC57nwLLBabOaPVa++Bw78ZWSokV2Tg50Oh2Ki4vBMAwyM7NP=
mfTQaDQo/JfEcTAYhGlwEP7Pd/LYbFaMjY0e/7kMDWFkZAQWywRYNnh8pQzPg+O4pFjFHg2pVAq=
ZTAaGYSCTySCVSlFTU4OCggJUVFRAqVRi6dKlUCqP36grlUqUlZWdcWX82NgYurq6Tvmd9Hg8aG=
5uRiAQgN/vR1dXF2w2G7q6ujAyMnLyd/jE483z/IxMLk1HMpkMcrkccrkcxcXFqKiowJIlS1BUV=
HRyYueLK+G9Xi9aWlrg9XoxOjqKhoYGNDc34+DBg5icnATLsmBZdtr/ThJxffG1kGEYSKVS6HQ6=
1NTUQK1WY+7cuVCr1SgtLUXeF5Ku2dnZKCkpOWVS+IuvecDxhS/19fWw2+3o6uo6uXPni699HMf=
RPTqAIpkKj2WXo0g+9f1zCEkoUgnASCGRSCBhGOBsk8eCAIHnAQgQOB7g+KnPTEkAiYyBRC4Hk6=
aBZvksqApyIFWroZu/EPh8BxHncsBrGgTv88HV2Ap/7wSCJgeEYBBCMAhw0/R9XgJI5DJIGAYSR=
gZZYSoUJRmQyGVQ5mdDpkuF3zwKdsIOIcgh0DsBzuyCwHHHHxuOA8T52DtjUMI9ttxtzej96S/h=
qesDwrx/b/K58M2RVnzxjogS7oQQQgghhBBCSIRUEinu1OXgPn0eZEncYJ0QQkjyoIR7bPBBFq6=
jdeh75NfwHQ29eskJrMDj/xvrwl7v5CnfpxruhBBCCCGEEEJIhHwCj50eGy5Up2GBKvY9cwghhB=
ASe4HxEVg3b8HQn58HNxRZn6VP3dbTku0AJdwJIYQQQgghhJCo9LE+bHFbUCxXIY2hj9mEEEJIo=
hKCLNztzRh7+W1YPtgJwR1Z/f/OgAfP28+8Kp7uBAghhBBCCCGEkCgEIWCbx4YVGj2WqnSQUmkZ=
QgghJOEEXZMYe+M1WDZug69zCEIgsn5cbp7Dq5MjMAX9Z/x7SrgTQgghhBBCCCFRsnAsnrUNYUG=
O+cK+NwAABHlJREFUFmoJI3Y4hBBCCPmCyf3bYPrj3+HZ3wuBjSzRDhyv277ROYZdHvtZewNTwp=
0QQgghhBBCCImBYwE3nrKZ8ANjIRQSqdjhEEIIITOSIAgQWD84lxuuhsMYeeN1OD89FvV5OUHAI=
a8D7zrH4RK4sx5HCXdCCCGEEEIIISRGNjjHUCZX41ptOlRSWulOCCGETBXe70VgbAT+kTG46hph=
r62Fp64bgjfyFe1f1BZw44VJMwbPUkrmBEq4E0IIIYQQQgghMfScfQhaKYOrUoxgqJ47IYQQEjc=
ByxgC5kH4BkzwtvbB3dICb1cP2IHJmF6nI+DBMzYTGvyu8x5LCXdCCCGEEEIIISSGbHwQz9mHwE=
gkuEJjoKQ7IYQQEgXO44S3uxXgeQQmxhEYG4V/eAy+jhGwIzZwTgeCkw5wkx6AE2J+/aM+J/7H0=
od+1hfS8RIAsY+CEEIIIYQQQgiZ4XIYBR7OKMEylQ5SSroTQgiJEYlCDqlSgeOp3ZlAgMBxx//L=
CwDPQ+B5gOPjntne5rbiKesgRrhAyGMo4U4IIYQQQgghhMRJFqPAzzNmYYFKCzk1UiWEEEISniA=
IcAscNrus+PvkMCY4NqzxlHAnhBBCCCGEEELiSCmR4AfGIlymMcDIyMUOhxBCCCHn0B3w4H3XBN=
5zjsMr8GGPp4Q7IYQQQgghhBASZxqJFKtT0vHl1ExUKjRU150QQghJMFaOxU6PHR+7JtAYQnPUs=
6GEOyGEEEIIIYQQMgVkkKBMocYN2kxcrU2HRsqIHRIhhBAy4wUEHge8DrzvGkedzwkXz0V1Pkq4=
E0IIIYQQQgghU0gjkWKhKhXr9XmYp9SKHQ4hhBAyY/UGvPjb5DAOeCfh5LmYJMop4U4IIYQQQgg=
hhIhkhToNX9XloEyhQYqUAQNAQuVmCCGEkJgTBAH+zxuiNvpceMMxgoYoSsecDSXcCSGEEEIIIY=
QQEaklUixWpeJSjQEVCg2yZQqkSWVU550QQgiJAQ/PYTjoxzjH4qjPhV0eG/pYH4JxSotTwp0QQ=
gghhBBCCEkAMkhQIlehTKFBiVyFUoUaRTIVcmQKqKneOyGEEBISXhBgCvphDvoxwPowwPrQEnBj=
kPVjkg/G/fqUcCeEEEIIIYQQQhKMDBKkM3KkM3KkMTLkMArkyBTIl6uQyciRKpUBAPJlSqikUpG=
jJYQQQqael+cwHAzAJ3AYC7IY4wIYDQYwwPpg41nYuSAsHAuvwE9pXJRwJ4QQQgghhBBCEhwDQC=
aRQA4pGIkEJ9a7yyVSUOEZQgghMxEPICjwx/8LAUHh8y+R092UcCeEEEIIIYQQQgghhBBCYoD2n=
RFCCCGEEEIIIYQQQgghMUAJd0IIIYQQQgghhBBCCCEkBijhTgghhBBCCCGEEEIIIYTEACXcCSGE=
EEIIIYQQQgghhJAYoIQ7IYQQQgghhBBCCCGEEBIDlHAnhBBCCCGEEEIIIYQQQmKAEu6EEEIIIYQ=
QQgghhBBCSAxQwp0QQgghhBBCCCGEEEIIiYH/H/5EUPAKqWJuAAAAAElFTkSuQmCC" alt=3D"i=
mage" width=3D"788" height=3D"57">
</td>
</tr>
<tr>
<td style=3D"width: 8in; background: #6f01b3; padding: 0in 5.4pt; vertical-=
align: top;" colspan=3D"2">
&=
nbsp;
m=
arcus evans&nb=
sp;professional t=
raining
P=
ost Merger Integration
Prep=
aring and Achieving a Successful Integration
FOCU=
SED SERIES
&nbsp;
</td>
</tr>
<tr>
<td style=3D"width: 5.25in; padding: 0in 5.4pt; height: 473.85pt; vertical-=
align: top;">
&nbsp;</spa=
n>
Course Ove=
rview:
The victorious merge of two companies depends on fi=
nding the perfect mix of the two pre-existing cultures in order to create a=
 better and improved version that is full of strengths. The key to achievin=
g it is a good preparation process done in advance. In this post-merger int=
egration training you will learn how to create a M&amp;A playbook, IMO and =
PMI program in order to draw a road map, set expectations and come up with =
the best long-term approach for the success of the new combined company.
&nbsp;
Key Topics=
 to Discuss:&nbsp;
<div style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; ma=
rgin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',=
sans-serif;">
<ul style=3D"margin-bottom: 0in; list-style-type: disc;">
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Identifying and applying the right M&amp;A assessment f=
or your company</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Creating an M&amp;A playbook</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Defining methodology for PMI</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Setting up a strong PMI program</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Creating an integration management office (IMO)<=
/li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Recognizing your company&rsquo;s PMI work streams</span=
></li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Establishing expectations for your new combined company=
</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Merging strengths</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Maintaining momentum</li>
</ul>
</div>
Course features:&nbsp;
<div style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; ma=
rgin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',=
sans-serif;">
<ul style=3D"margin-bottom: 0in; list-style-type: disc; margin-left: -1px;">
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Limited C=
lass Sizes &ndash;&nbsp;drive interaction and engagement</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">3x3 format<spa=
n style=3D"font-family: 'Calibri',sans-serif; color: black; font-size: 11.0=
pt; background: white;">&nbsp;&ndash;&nbsp;3 hours of e-learning over 3 days for a total of 9 hours=
</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Focused C=
ourse Content &ndash;&nbsp;pre-course questionnaires allow trainers a=
re able to refine the course content and focus to meet the specific needs&n=
bsp;</li>
</ul>
</div>
&nbsp;
Course Contact:
For more information on availa=
bility, course content and registration, please contact Emily Eastern</b=
> at <a href=3D"mailto:emilye@professionaltrainingme.com">emilye@profession=
altrainingme.com</a>,&nbsp;
(312) 540-3000 x6523
&nbsp;</=
span>
Interested but cannot make the live virtual training?=
&nbsp;Ask about our on-demand an=
d in-house training solutions. Feel free to pass this invitation along =
to your team if you believe the discussion would be of interest.
&nbsp;
</td>
<td style=3D"width: 2.75in; background: #e6bdff; padding: 0in 5.4pt; height=
: 473.85pt; vertical-align: top;">
&nbsp;
Duration:<=
/span>&nbsp; &nbsp; &=
nbsp; &nbsp;&nbsp;3 days
Dates:</sp=
an>&nbsp;&nbsp;&nbsp;=
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;July 26, 27, 28 2022&nbsp;
Location:<=
/span>&nbsp; &nbsp; &=
nbsp; &nbsp; &nbsp;Virtual&nbsp=
;
&nbsp;
Facilitator:
=
Ted Jeffcoat
&nbsp;
Specializes in:=

<div style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; ma=
rgin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',=
sans-serif;">
<ul style=3D"margin-bottom: 0in; list-style-type: disc; margin-left: 3.1999=
999999999993px;">
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Mergers and=
 Acquisitions</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Post Merger=
 Integrations</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Cultural Tr=
ansformation</li>
</ul>
</div>
&nbsp;
Previous Clients:</spa=
n>
<div style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; ma=
rgin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',=
sans-serif;">
<ul style=3D"margin-bottom: 0in; list-style-type: disc; margin-left: 4.15px=
;">
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Propane Nin=
ja</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">DCC Propane=
, LLC</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Sail Energy=
</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Boiler Juic=
e</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Delaware Pr=
opane</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Insta Answe=
r</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Paraco Gas<=
/span></li>
</ul>
</div>
&nbsp;
<a href=3D"http://email.profess=
ionaltrainingme.com/c/11muOVdfDy2CWDPY31NSTPNNIb6E">View Full Bio</a>
&nbsp;
Who should attend? &nbsp;
<div style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; ma=
rgin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',=
sans-serif;">
<ul style=3D"margin-bottom: 0in; list-style-type: disc; margin-left: 3.5px;=
">
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Managers</sp=
an></li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">Unit Leaders=
&nbsp;</li>
<li style=3D"margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; mar=
gin-left: 0in; line-height: 115%; font-size: 15px; font-family: 'Calibri',s=
ans-serif;">CEO&rsquo;s<=
/span></li>
</ul>
</div>
&nbsp;
<a href=3D"http://email.profess=
ionaltrainingme.com/c/11muPapkNdU7mDDTGTrnJ4a3v0L1">Click here to view the full agen=
da</a>
</td>
</tr>
<tr>
<td style=3D"width: 8in; background: #6f01b3; padding: 0in 5.4pt; height: 1=
7.95pt; vertical-align: top;" colspan=3D"2">
<img src=
=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAPoAAABTCAYAAAC2/xobAAAAA=
XNSR0IArs4c6QAAIABJREFUeF7tXQdUFMnW7skMOSNJsgRZREVUgiJiQn2rvqfuruIaUcGMWTGg=
CCqYQIwYWRQDYo4YUUERRURREIlKjgNMnv9cdsq/l8cE03Pc7T6nDwoVbn1VX9WtW3VvkzDiIRA=
gEPhREaBgGEbDMIyJYZiKlpaW1s2bN2eqqqoas1isRnV1dfWqqqqcnj17HiD9qC0k5CYQ+IcjAN=
ylYhjGAJJjGKaRlZW1mE6nd3j16lWxUCgkVVVV1fj4+LhUVFQ8J4j+Dx8tRPO/GIHvySFYzZUwD=
FOfNGlSp40bN0b4+flF7dy5MzAiIuLsokWLfj569OjxwMDAX76nkF+MMFEAgcD/EAHgCnrJGIah=
F/97JM7X5pUIwzD0CjEMQy8QHVZ0tYMHD/b38vKa4ODgEJOTk7O2ubm5ubq6umLs2LGH0tPT539=
tgf6HuBNVEQh8cwTwxIb9MKjKbV886UGgb8EpILlA/HIxDIOXJ64LyK46d+7czsuWLVs/atSoHb=
t375769u3bEjKZzB8/fvzpgoKCdd9CqG+OPlEBgcA3RgBPcCA2XbxywuoJqjL8hBdIBn+HSQAI/=
634BCs4H8MwNoZhzRiGsTAMaxITH+psVd9zc3PXNzU1iR4+fJg7c+bM9ISEhD5du3a14XK5Zd9K=
sG/cD0TxBALfDAHgBJAWERws2sqwauJe+D9TWVlZRVNbW0VbW1eNQqFQhZgQEwlEX51TJApJQCF=
ROAyGUjONSW/Ie/kyp6ysrFxMdpgAQFZlNze3DkePHl3E5/PpNTU1lbq6uh2EQmFt//79N391ob=
4Z/ETBBALfHgHgA1LRW4+swJqNYZgWvGoaGvoeXv26ODh0djQwNO6orq6uyWQqq5ApFCqZTMJEo=
GB/o4dEIqHSRQl/HJl37vTJuxiG1YjJDn8DrQMmIKUNGzbYW1hY6L169ep9SEhILmgCBNG/UccQ=
xf5wCKCVHAgDJFfHMEwHwzB9I1NTy9Fjfxtq7+jkqqmlBb/7rs+h/XuWXTl/NhnDsDIMw+rFe3a=
YoEB2eGGFh/YglZ9HEP27dhlRuQIhAOo67LlhVYRVXB/DMOMx4/yGDBg8dLSaurqmIsgqEomw/T=
t3rEu+fvU6hmElGIZVYxjWIpatrb0AVnogu4AguiL0HiHD90YAXT4BoxYQGkjeMWDeogmeXl4jS=
CTFoQkQfff2bZvu3Lp+DcOwAgzDKnHqO9JK8AK3kl1xWvC9u5qo/5+MAKzmoPKqIZKP/33y6GGj=
/jNJ0UABosdsjdhy786tK2Kig1EOrPCwcsPTHqe/voVQ0YAh5CEQkAMB2N+Cyq4N6rqVjV334PW=
h4UpKTPidQj1yEL1deYkVXaG6kRDmOyEAe3MwvoHKbj530bJZvT08fb+TLFKrJYiuiL1CyPQjIA=
CLHVx+gb25EYVCsdm+O3aLrr6+kSIKTxBdEXuFkOlHQADdLINjM1MrGzuXVaFhmxkMBpBf4R6C6=
ArXJYRAPwgCQHTYiwPRO7r18fKZvWBRMIlEAgOdwj1A9J07IiNTbt68imHYOwzDKtoY44g9usL1=
GiGQIiCAiK4LRO/br/+AGXMXrCQp0pkaDiXc8RoQvVB8vIa3uhNEV4RRRcigcAgA0eEmXKvq7uT=
czX1x8NpQKpUCBjqFe8QXZkJwF2aqxI4u6HiNILrC9RohkCIggIxxcJ/dWElFxW7Hrn3b1TU04a=
hNIZ/DsXuXXD6XhK7A1olvxhFEV8jeIoRSJATgsgwcrxlgGGa5KnTjMgfHn3p/joAikUjE4bC5A=
r5AIBDwwWf8KzxkEYmEichkspBMJvNOHftjxcVzZx6Ir782YhjGEQemkFgXcY7+FbqBKOKHRwDu=
iIOnGqjvJu59+3kFzgtaRSaT4SKNXA+o1A/v382/k5z8rLSkqJDP59fzOLwmMvnPyDA47zO5ymu=
TSEAikThkMplFoVDq6uvrP/B4PLj6CiQH/3SYUKT6zhFE/xzYiTx/NwTAwg7HaciZxWz+kuXTe7=
p5DJW3oQX5b+uXzp99HsOw92IDGXiVgbMJqNQfXUzlLa9NOigDVm0gNZC7Vuy1BsEnIBgF+KQTR=
P9McIls/xwEkFMLHLPBxZkOYIFfumrtLOfuPfrIA0P+27z65QvmtCU6kBBCQH2ppzqUAeGjgOgN=
BNHl6REiDYFA+wigGOmgwoNhzhDDMLPfJk4e0c9n4GA1NXX4vcQH9uYpt2/l37tz81l5WXkxj8e=
ph6gwGEaSaiSTpzNIJIxPJpM5FBqFRaPQ6yoqPhQ1NzeDtR1IT6ju8oBIpCEQECOAosuAqyp4se=
mBFR7DMIsORkaOg3yH93Hq2s2ig6Ehk0KhStzyAuFbWpo5QqEQVuHWh4R9jA7z+WCTSCIyiSQkk=
UmC08f+WHw+KREZ44DshDHu85Elcv7DEEBEh706xIeDCzRAdHOwxJPJZMv+g4Z0Hf3rOAt1DU25=
jXTfAsPD+/csvfxnhJkPGIYRx2vfAmSizL8tAiggJFyeAaMcHLWZ6ujo2I36ddzw7i6uTppa2t/=
dbZW4MPO3HX9Ew/4HCLSntpv08fL2/GXCxMnaOrrgvqoQD3EFViG6gRDiB0UARZgBlb31LL2Pt4=
/XlOkBQQwlJVjhFeZp471GOLUoTM8QgvwICMCeGwgN1nYjPT29ziGbt4VraWmBQU6hHsJNVaG6g=
xDmB0MAHFhQvDizwPkLp3t6eY9UxDYQRFfEXiFk+hEQgP053HVHEWast++O3aqrrw8Wd4V7CKIr=
XJcQAv0gCKAIM+CtZmpjZ9dj1brwzTQ6nYgw84N0ICEmgYA8CCB/dDg3N/Xw8vYJnBe0WpEDT8g=
I99xumwmnFnmGApHm74wAPvAECiW1SpFDSbXzAQciwszfeYQSbfsqCOBVdxNTc8tu6zdFRjIYDI=
U6VkMthT36nujt62/fuAafZCrGMAzuvIMXGxF44qsMB6KQvysCeGMcOLJYbYnZt9nI2NhCURt8a=
N/u5VcunIMrsOASCy6ryB1WosiE6q6ovUnI9b9EAI7X4LIM3IAzm+Q/02/Q0OHjv0QAcG75kvxS=
8opOxB+dc+bE8dvi1RycWsAdlvBH/0aAE8X+fRD4y4UZNTU1+w1bozfo6enBCi/38ybnVUXq/ZQ=
X70tLivlcdgNGJnNJJNJHLza5C2qTEMogkygcmpISS4lOr89++SK7pqICHFoguAW4qYKvOkH0zw=
WYyPePQQBdgUWfZTLr5ebRZ+bcBXMZSkpyHbO9Ly1hLZw145xQKCwVr7RAQlhp8RFmPhdQFHgC9=
uIo8AR4rYERjogw87moEvn+cQigfToEl0DuqVZ9vfv3HT9p2r/V1NVlGube5LyqWbUk6KJ43wwf=
VUAq9deOMEOEkvrHDU+iwV8LAUR02KfDxRn47hoY4yx19fRs/Sb7ezp3dzFgMBgSv97C4/GE5xJ=
PZt5Mvv60vrq6lM/nI6J/jRUdYsJBcAlYwWElB0t7jTh+HBjiiOCQX2skEOX8rRFAwSFBddf1GT=
LEzbZTZ+/370uY798Xq1SXV2kam3U06NnbXbdbD1epq3sTi8VpamI18Xk8rlAk4n9h9NdW0EkiC=
PVMEZCpZD6VSuUmnTwRdu3yhcdisgP5iQgzf+vhSTTuayGAN8Z1mL1w0RR3z37T8YWz2S1CLoeD=
qWtofvdvssUdil184czpth9wIIxxX2s0EOX8bREAoqP9ucnUgFkTfAb5TlHE1sKp3b6YqDU3r12=
5gWFYifgjDmB5Jy7MKGKHETIpFAJA9I9uqr/7T58wZOjPX3SO/q1aB0TftWN7+N2b167hPrJI3I=
z7VoAT5f6tEIAvtQDRIZ67hd8U/wlD/zVirCK2kPhssiL2CiHTj4IAEB0McUB0y/GTp00Y9vPI0=
YooPOGProi9Qsj0oyBAEP1H6SlCTgKBL0CAIPoXgEdkJRD4URAgiP6j9BQhJ4HAFyBAEP0LwCOy=
Egj8KAj8xer++5RpfkP+NfIXRRT+zw84bNl851byVfHxGtyrJyLMKGJnETIpHAJ/OUefOG2G3+B=
h//JTOCnBF7X1wsyO0JvXrsI5OhFhRhE7iZBJYRFAN+PgKy3G/rPm+XkPGOivqNLG7t654vrliy=
jCDDi3EBFmFLWzCLkUCgG4vw7OKhDbXX/ekqW/93LrM1ehJMQJk/DHkblnThy/2cbvnbjrrqgdR=
silMAigwBNw312jR+/enaw72XVlN7WocgU8poDHp4MD2feSloyRBRQahUtnMJqV6ExWeuq9B2/e=
vCkS+7zD9VfCTfV7dQ5R7w+FAPijg0EOosnAyg7XYeGFzyQrYRgGMeW+Z3xFcFgBMkM0GRRlBgx=
woLJDGCmZwS2+p/A/1EgghP1bIwA8gBUb9upAaiA8vPCpJpgA4G/fkyuglgOZIQAFEBv8z+GF/8=
Mr1XMNeg59Fxr9u21vttX7IT168WkhHYqkgfLg07ZVeyANPg+UBf9HYLbNi/89qheV0d5PvGx4e=
dvrLCRve/UjufB1oLLxMqKBgscRX66k/Piy8Fij9Pi/S+qjtjK213Y0UNviKAtDvExt29veWJDW=
F+31YdsxhMcMtVeefJL6pG1/t5UPH/0FtQfIDi8QHH7isWsrn6R6UTo8J6SNs/awbTvOoSxEdiA=
3/Bt+J1cEG6gA9iX4WQt+hychKgg/6yEAQJi2AqDZBc2QCDDIgwYlEhjUETQjIaLhQcaD3XZWRT=
JCWag89BPJgGRurxz8ZIMAQ+nxdcHf8MBCPnzbJMmI5EP4IPUKtRM/gNCARHKgPPi0kB69KH1bD=
PAqHKRFskkatAgDPIb4VQINTtTetn2D5EH9iuRvWwYeVygDP/nK24a2k1V7kyceI0np8f2B+rUt=
bqidbVdzfJ8ibNBiiZ8UAA88KfHjB01g7Y2htmXgccWXh+eN3ESH+FhITUGdgAcDzRxo4IBqAy8=
iLvwdKgZVAtQKaBSAACCB6oNe+D+AgtLDfgO9kA/qRKoT7IvgxcuFZEMzHX6CgfqRSgNlwv/h71=
Bfe6oYmsxQB6Cf8Hs8KaAdqG3QPpC9vTKhDjQokPYCeVFboQzUOfB7tGqgn5AHnx7aAunx9SHck=
Xxo0KGyQT5klEEyAvYIQ9RniAB4kiP8ADvY96GyAEPU70idRT/xbUZ4ovaivsC3AeTGjx1oO2oD=
UkmhfrTnbIszXn40uPErWnuTEX7Cxk8oqL62ajDqG4QbtBXhjciLJkUUxhnqQO2Cn/B/tDgAjnh=
MoV54oO34OqAePDZoIsTLjMYhKg+Nc7lV9y5iwwMYIaBCEBQ/QBEJ2goHgsEDf4dKIcoFMg7A7+=
HvQFZk0KBTKBSyQCBARgUwJkAAPXghH5QDdUB6MISA2yBoGyAXgEKB/GKiiQQCAV4rAEChfjBUI=
CMF1AOAQV4I+gcvlA1thHrwgxIRC1lfWzuMqqQk4rPZUC4qE/JAXigDykPyoY4CGVsnQIFAgDeg=
AD5oX9V2EkQDGNKDHIAFvFAvtAFkQjiiPoLBBw/qfEgLL9QB5SDDEsgHbUYYtg5acT8gsqAyADu=
IMAphiuEnvizIjzBEZX5sM51OJ3O5XEQA1BfQBjQYoc3QD2gCR3tfNH4gD6ofWZFRu2EsQN2oDd=
Cn+Em+PcJB+a19SKPRWscMj8dDCxZ+UkFjBupEEzkag2i8IGMckhXyo8kVfoewbp0A6XQ6VYwFv=
k2AJ4wh6F/EDeiXtuOyFZfWDiKTQWY0kUF9gCcyxEGASCgT9blsY9ySVWujeTy+FpfDZQpEfBpJ=
ICSLKGQhlUQWkCkUfklJUcnpY/GZIEDf/j42rr08unUwMjRjMJRUSSQM43DYzRUfyosyn6U/uXz=
+HKSDzoWH7trLzbq3h2cPY9OOVkxlFQ0yGSNz+Xx2fU1NWe7rnKeJCceSW1paysSDC0BovXPcpV=
s3Ozs7xy5GJqY2mtpaRiqqqho0Go1Oo9FaJxehSITxuTwuh8Nm1zfUV1dXVn7Ie/P6TWrK3eymp=
iZ8qF0YYEqzFiwawWQwjbk8DpMr4NM/tpFMgWB7PFZjY82+mKg7QAIDIyPtX37z62tlY+vAYDJV=
+HxuQ+yu6PCMx4/hOAMAbf2qh5qmpp67u+dPVp1sbSHQv5qGpiadTldCROfyuHwBX8Bpbmqqra+=
tLftQWvr21o1rmSxWA3vCtBkDaFSqMp/Pp/GFAqpIKKSQMExIpdJ4FAqNw2DSWq6cP3c5MyMDPr=
lD8Z81Z4CGppYZl8Nh8uGoRyhonUxIZCqfQqVyGTQaJycn+8n5M6efi1dJGDAqtvb2pl1devxkb=
GpuoaWtpa+srKJKo9EYMI6EQqGIz+Nz2Vx2C6uusaqRVV9aVVH55tnTx4+ynz/PFw8swA8GsAZE=
R9XR0dEfM2ZM5169etlZWFgY6erqajGZTAaNRqPCxNbS0sIuKyuryMrKyjt27NiTBw8eQKgjjrK=
yMik2NnYQg8HQ4HA4DB6PRxMI/mwDhUIR0Ol0LpPJbHn06FFaaGhoqph0ZE1NTY29e/eOJpPJei=
ifSCQikclkIeSDl8/nc1avXp1mZ2en1a9fPysbGxtjIyMjfXV1dVU6nQ5j5uPEy+FweI2NjU1lZ=
WWVeXl5xcnJyS/Pnz//RhxZFU0wlMDAQIfBgwf3ZbPZSlAvn8+nQr1QH5VK5cPP/fv3P75+/XqV=
jo6O8uLFi108PT0dDQwMIFIsncvlcqurq2uysrJydu/effPRo0fvxHUAMWGigkkLFjKtESNG2PX=
v37+zlZWVsaGhoZ6KiooylEEmk8l8Pl/A4XA4DQ0NrMrKyoqqqqqSd+/evUxISHjw6tUruBUHhJ=
fvAw7Hki4KpH058vWrlznrVi69tGjl6gE/denaGQRAunPbnzkvX2RvWrfmjFCIYfMXLxncuUtXZ=
yqVilaf/8pWWVGevz9mx7bMp09zxAOL6h84d5hnP+8AGo0mM5Z22wJra6ornj97eu/gnpjzbDYb=
ViaYfZn7jiZsV1NXk/jVjYb6+lr/Cb9GO3Xr3mHm7HmjtLR14IbUx2dreGhI2sP7eUAiLR0dzQm=
Tpg62d3Tqpaml9Zd0knBBv79y8Xziqfj4jL1H/1hLJpPR1qfdbHEH96+7kJQIEydlZ+zhUB1dPW=
tp5Wc8Sr28KTQkEQZSL48+Vr7Dfx5oZm5hz1BSghVJ7udVdnbi2uWLosUDCPpazdjY2CgsLOxnH=
x8fdxiM8hTW1NTUkpyc/MTf3/9qeXl5c15eXqCVlZWltLyZmZkPnJ2dw8QrF2Xo0KGdLly4sFNa=
ntLS0sqcnJz3ffv2daRSqVIxbVsOj8fj5+bmFsTFxV0NCwt7KF6kyAcOHBg6adKk36XVO2nSpJP=
v3r1jHTp0aKi5uTl8yqndp66urmHHjh1/rF69+pa4XYCpanBwsOe4ceMGW1pamqHJSB5cIU1kZO=
SyhQsXQgz5Slz8eGSXarcY0pGTSc10Ol0iqdLTUotEIoGwRy93c3kESXt4P5eMkbAevd1s5ElfU=
V7+bvGcmSFsNhs+Fkees2jpv908+oyTJ6+kNB/evy/Yvjn8UEF+HqzujKh9Bxfq6RsYS0pfUlRY=
szl0bcra8Mj+mlpaoJp+fGClCl+zOjbreUZJj969jSdNCxilraMDQf4/+TmfmHgj8dSx7JjYI9O=
ZTKZUAu6O2rbt9o1r2aDlROzcvcDEpKNUPJOvXUnZt3NHyr/H/tZ5xOixg5H286lCZmVmXAldtX=
KfWM1UGjNmjGNkZKS/iYnJJ32eCNWbl5dXMWDAgAtjx441Cw8P7y9NnuLi4lILC4vVAoEAtnPUF=
StW9Fm/fv0MaXl27tyZ7uTkpOvp6SnX+JRU1pUrV1KHDx+eCKtoeHi4x5IlS0ZKSgv3zdesWfN8=
+vTpVkZGRn8ZL+3l4XK5/HHjxsWcOnUql0wmUy9cuPCfIUOGuH9q36D0YWFhIcuXLz+PYRhow/J=
9ZPHwiaQWBoMucdA1NjTwVNXUaCTQ07/RE384du+5xNP3QSufMXeBr5e3z69fWtWH0pL3S+fPju=
NwONi2XbETOxgZSpx189/msaqrKtk9evb+LwID0ZfOn3WWRqEJVoaGDVNWVvmkFRLfjqRTJ+6cO=
30ib2fskfFMZWWpn/qJ3rJ5X8qdWy9hq7Bp+86ZHc0tpH7d88zJE8+epD0sXrsxYqjYlvFZEGY+=
Sb8eFrIqHjQDHx8fq5MnT87R1NSEffJnP48ePaqcNGlS1uPHj/soKytL1PCam5vZrq6um7Ozs+G=
zRrQjR46M9PPz85ZCOJGHh8fF8PDwnzw9Pc0+W0Bxxri4uHQ/P7+U4ODgLiEhIf0klScUCrGamh=
qerq4uslPJrPrOnTt5Xl5e57du3dp93rx5fWRmkJIgNDQ0ZOXKlRcwDIPvryH1XfqKLovoXyKQv=
HnTH6U+iAgNiQPVaeac+QP79h/w0UUQZkNWYyO7uYkFxg2SElOZDp/IYTAYMtW0k/Fx908nxL+J=
jN7zs7GpKXyBo92HzW4R0ekMDAwgbRPw+XzhyoXzUqYGzHaw7mT7WSs5KvPc6ZM3k04lFEbHHh6=
nrKwC+2iJz/bN4Uceptx9BQM+fGvUVHNLq47S0p+IP5prbGLKdO/jZSItXVNTE7++rpbN43K5DC=
UlsrKyMk1ZRZWBtljPnj65Hb4m+BSVSlXOzMwMcHBwkLpSnj9//n1KSkq1t7e3/qBBgwwk1R0UF=
JQ/ZMgQHR8fH9jvS3z8/Pz+iIuLa9Vk7t696+fp6SlRk8nPz2+wsbFJTE1N9e7Ro8dHfBoaGjjV=
1dXspqYmHqjz6urqDH19fSaVSpW6WkFfOzo6nh8wYIBhVFSUq7zjV550ZWVlLa6urtdTU1P7y9I=
CPnz4wKmpqeEIBAK+qqoqRUtLiw5tQBP4li1b1gQFBcGKXi4mumynlsMJiWxZH5IDVaWivKxZTV=
2drqysInFGxje4qrKSDUqAjq6ezBXwTc7L16uWLNwNlsTZQYsHdHNxHfzm9as36WkPy169yGqsq=
Kzkctls2G9TKRQaU89AT7efz0Ar3+EjOtLodIk2g/y3eZXLF8y5t2lHTP+OZuZSB5jESaC5mX/p=
4tnCUaN/tZKnQ8G6++5tXnFpcVEph81u1NHTV+pgaKTfwdDQ4vaNa7fijx4q2Bl7eKosom/bFBa=
Xev8e2C5oYVt2TLawsjaVVv/5M6dKnbt21zA1twBLbrvP08ePGnZs2ZTd0txcLbbaslVV1QQdjI=
xI9o6Oqs5dXTqWlBQXH9wT82jKlCld9u/fL9VV8+TJk6VjxowB4xlYhRkpKSl93N3d27VbPH36t=
PnChQuNwcHBEicDEDoiIiJl0aJF9xkMBuP169e/m5mZaUlqT1xc3Es/P78bmZmZw7W0tFRv3LiR=
e+XKlfLU1FTWhw8fuDweiIXRmEymipOTU4clS5bYjhw5UupkvXbt2pyCggLOwYMH4TRK6sNisQR=
lZWUcS0tLZnuLBD5zXV0df86cOS9jY2N/otFoEiec4ODg0vXr14OBEGxMLAqFwtXV1RU6OztTfH=
x8VAYOHGh66tSp4+vWrUNOLfhPP0mUlyQP0S+dS8qNP3zglbmFlcbKkFB3JSnqF9SU9+Z1zfrVK=
1JhBlqxZn0vS2sb8AqS+BQV5BctnjsrChpna2+v2dDAon0oLYYVG8gJEwWVxmBQwIoqFAoZ7OZm=
pkgk0pjkP9Nh0NDhEo1DdbW17KBA/3vB68N7mltagZXzkx+BQCAqLipsNLewlJm/tqa6cd+u6KS=
MR2lg/Ya9Ezq2Ids6OBoLBTz1+vp6rY1bowNlqe5iosOKTpeH6BfPnvng3N1Fw9jEFI5t2n3y3+=
a1XL6QVFBSVFxeX1tXU1NdifZ3cPSDZG21tJ87d27M8OHDnSSVBVZ7d3f3B6mpqWBZB0bRAwMD7=
aOjo39qLw+PxxMFBQV9CA8P76CsrCxxcr548eLbYcOGXbe3t9fIyMgYraSkJHFh+e23384cO3bs=
Rb9+/TTu379fx+VyQZX+eEyspqYGR1UwZpQaGhoAF62MjIyuXbt2lWiTOnnyZPnly5frDhw4YCt=
tsDQ1NQmGDRv24MGDB7WrVq3qtGLFCjtp6RsaGgTBwcH5kZGR1tI0i+PHj9eeOHGiKDc3t6K8vL=
ymsrISCA8rNvQRuKSCAQ62NrA//zhhy7oGK5Po8EH31UsXXnqT8wr2A7C6DLWwspY6K146l/TiS=
Oxe+DYUNn7S1B7DRoxylE70d6WL5wbCig6zEzzKnX/qYtHVxcXBzMLSUFtHV0NJSYlOpdIocMwB=
KharsUEIxDcyMZWoMYDqtmjWzNSFK1d1sbSylklUqBhW5JyXL/Lzc/PgQ3mYurqaZi+PPvZq6up=
S99SA056o7Um3k6/BB+rRFzTQkQ2o6TBp6ZmamTmGbNyyQJYxDkd0wHyKrBU98cSxIkcnZ/VOdv=
ZSJ1VoI8ja3NzMYzU2NNfW1NQXFeSXZDxJf/Ms/THIDURnvnjx4vfOnTtLtGuw2WzhuHHjMktKS=
mrIZDJPKBTS+vbta7Jp0yaJBFm6dGnpiBEjNHv16iXRgPXy5cu6zp07X/7111+N4+PjJe5ly8vL=
WXZ2dgfq6upgsLee0//yyy82Pj4+1vb29vq6uroqampqNDglAo20qalJVFVVJTQxMWEaGxtL3Fv=
fuHGj/vjx41X79++XqsFlZWXVOjk5nYMh061bN/20tLRhVCpV4gQGE8PkyZNhRXcAdVzWigNn6H=
V1dbAFaXn37l11RkZGQWJiYmZGRgas9kB0OHpFVneYCKSepcskOhij1i5fnPAm5xUMAlro5q1jr=
DrZwm06ic/VixeeHNwbcxcS+E329xj684ge0tIX5L/9sHT+7KNwpGNla6vtN3HKAOtOdjbSjuZk=
AQV/Z7Ea+YtmBzxatGLVT5bWNjINSvV1daz9u6JOP059CEYwONeHSUQv5sBRf20dHYkqMdQqUr1=
SAAAQ4klEQVRVV1vDmjdj6lY2mw154cwdOgGIDh0A5YCNwNjMzMJ5zcaIFXISXW7VPSHuSA6GiX=
hjx//e7ooqCy+hUCjMfZ1TcGj/7ofv8vK4xcXFo01MTKS2GQjU9pFmtI2Kiiqpr68XrFy5UqLhr=
KGhgW9oaJi8dOlS8+DgYImTxtmzZ9+MGDECDFKciRMnWixevLiPvb291HEpCwP4++3btxuPHj1a=
FRsbK9X4+eTJkzIXF5fjQPQePXoY3b17d6w07YPD4QhdXFzuRkdH2/Xt2xfix3/yA8bKu3fvPp4=
4ceKh8vJyOO4FssMqD+MMxut/d4i4FrmIHrpq+eGXL7IKYNbcsGX775ZWNlINPslXL6Xti4m+Dn=
VMnhHgPXDIMDdprcp/m1exfMGcJFsHB9WgpSuHq2t8mZUX1SUmevqiFas6yyI6rOTbN2/6Iz3tP=
pynwmdpwSagpquvbx22ZUeQmpq61GOU96Wl1QsCpkVgGAbqNmAFREexvEBtBC3IxNTMwiVkY0Sw=
LKJv3bjhWNqDFJi9aRu27JhgaWUtFfPzZ05mn4j/41nIxoh+FpbWnz3gK6sqm6I2hT26fOmiq6W=
lpcyjo08ZrUlJSUWbN28uSklJ8ZA2IfTq1ev5ggULDMeMGSNxWzZlypQbBw4cyAkODrZbs2aNt7=
T7HZ8i461bt4DoNQcOHJBqxc/MzHzv7Ox8EAjm5uZmevPmzYkMBkPiNoPL5Qq7d+9+iU6nc65du=
zZYR0fns7F9+fJlds+ePVezWKy3YoMcqPdwUU2i5V0uom9YvXJ/dlYm3O6B/SKokVItwDevXX2w=
d+d2CF4nmjw9YOBA32Ee0sB+k/Oyeu3yJXc2bY/xkmYdhzIa6muba2tqm3l8HqaupqGs36GDxD3=
ppxA9J/vF2zXLF8PlDJgpgaQAmiaDwbDavid2vaaWtkSrPZJrQcD0SBaL9QL3TSxEdNgTQn4TMz=
OLrvKs6JFh6xIfpz6EjqRuiNw+1tLaRoYWdf7Zwb277qmqqoqmzJzV27l7j59kTSbt9YlAKMJeZ=
GZUjBgyUNnV1VXqiv4pBIK09+7dK/Dy8rpXWFg4ysTEROJAX7x4cdl//vMfDVfX9j9RDBZ1S0vL=
U7a2tmAAHEWn06WqwkVFRY1VVVVsHo9HNjc3VzMwMJB44nHz5k1WXFxctSyiP3/+vLRLly57gej=
u7u5mycnJU2UR3cfHJ/HevXvFbm5uapGRkX1dXFyspKn70vCNiYnZFxgYCFowfpuIrgP/t6Ylyx=
gHqruY6HAtEog+VU6iXwGiT5kRMHDAkGGe0oTOynxac+3ShcKgZcFdJaXj8/miMyeOZV+7cul1Y=
309zF5KvsN/7jxh6nSJRhAx0Z8sWrHKQdaKfvnCuRuH9+2GIz4gOly0AaIDOS237NwTZmRiKlWV=
AzV2f0z0meRrlyGWF4APWgEQHTQDGFiwdzYwNjNzXL9xS5AsEoatXXUlMyMdtgDUkI2RQzvZ2Uu=
1Vl+7dCH9wJ4YqBv2a6KOHc21enp4ONh0srPQMzDQ0dTUUlViMumy7kMIRRhWVVnO7mxpxvf27i=
eR6NDezMzMJj6fz4UroXAtFV7oP7CjoH4U/x6uq4oeP36c7+fnl56UlDTs559/lqiW37p1i+Pg4=
EA1MDBol8CXL18u8vX1vRkfH9/z119/tZc0ZuCYKjAw8NG1a9dKm5qaQDaVxMTE3iNHjpRoe/hE=
ou8Bont4eHS8ceOGvxxET7h37x5M3nBUTPb19TX19fW1d3Z2NjExMdHS19dXZjKZcp1qPXv27Gn=
Xrl2XibVHGK9w9x05zSgm0Z8+eVz3obSE5fuvkRLV06LCgsbFcwLgU7FgsINOU563ZJlHLzdPiT=
fePoXoF5JOn4s7GAszJFrRYXYEopsvWrk6qHuPnhIvbiBUa6qrG7dtCjv2Jucl7NPxeyeykoqKu=
rmZWce6ujrtsMgds2RZ3U/EHc1OPHnsNZPJpG/esbu/rr6e1CvBl8+fS09M+OMujydgsdnNMBGC=
YQjywKukraurY2xiamhjY2vk6d3f1NDIuF3jIhC9rraazW+sq509e5bU23ATJkx4e/ToURi4YL2=
HgQb1Io875ByFoqIgJx1GYGBgz+jo6H9LIij4K8GEJOm29Zw5c+5FRUW9ycnJGWFrayvxGnJMTE=
xhYGBgmngPSyKRSGr5+flDzM3NJWqBn0F0joeHh5m8RC8pKXn/7t07GBvI+ajV6UhJSUmlY8eOu=
p07dzbs06ePye+//26opaUlUVPJy8vLs7GxmYdhGGjaYIEH/FvPE9t7PkV1/5wVHZsyI2CArBX9=
+dOM+kZWA9fd00vinqymupqzYuG827U11WBlFfZ279Nx5rwF7tLUtk8h+uULZ5MO79tzCMMwGLi=
gugNoYCk37duvv8+MuQtWwkiRpa42sVjsjMePsvPf5hbweVyWqromZmFl2aGTrYNTYUF+QURoSN=
qeI/EzlZVVpFrx2ewWQU52do2Orh7T1MxMpgp95uTx9Nqamg8j/jOmZ3pa6rO01AcFeTmvmjgcD=
nKjhAEF7dGaPD3AcaDvMIknJx8+fGg6cfTAszu3bvUWe3+12+zS0lLuwoULs0+fPp3H4/GQFyIi=
OonJZIp69uxJnzJlSsd79+4937t3LxgX6bB8ZWVlLdTU1JRIOEk4NzU1ce3t7eOLi4tZRUVF401=
NTSWeMly9erVq8ODB9xDRo6Kius+aNUvqMdhnEB1WdCD6NFkruouLy6mwsLBOpqamagkJCc/gsl=
FWVhaMM7y3oQaFQtFOS0vr1r17d4mT+5MnT566uLisEBMdLs7IWNFlXIEF1T10zcq9L59n/kn0r=
VHTLCytpBoqbl2/en9P9PbL0FlTZswaOGCIr9Qrf5lPn9RWVpQ3+wzylbg6Q1lVlZXNhQVvq5SV=
Vak2tnYdZO1vPlrdV652lHW8Bg4nh/buAuMKtBNUIVCvYB/Z+ind0Ihtq6xsOjnLIrq0vz99/Ch=
j4/o1KbsPxU3S1NKWeQrwKXWdToh/WlddUzUlYNYAyAf9Vl9X21BbU9PcUF/XwucL4B6Ckp6+vr=
qRlLN2yJvxJD1vU8iq5EuXLnkPGTJEps9Cfn4+kK6+sbGxBU6zoF/09PSYBgYGygYGBmpwO23bt=
m275s+fD44dMPFo379/f7abm5tEtVtS21NTUwt79+59DLYE+fn5/mZmZlKPep8+fVpbWFhYb25u=
rurs7CzzZiMY4+Li4mRa3bOyskqcnJzgSBgRfbosojs7O5+NiIiwA3Ud2tfS0sJ9//59Y1lZWTN=
cqQWPPg0NDeVOnTqpGxu3r3EhXHbv3n145syZsDDB9g4WP9gmStmjy0H0sJDVUS+eZYCKQNu4LT=
rAzMJS6n71zs3rt3dt3wreNZj/7LmDvX0GSXVmyH6eWXE7+Xph4PyFUo/hPmXgQ1qY/RfNnnF38=
co1LuaWVlLPl69fuZAQuysGgAOLORAd9rqw6rYei1nZ2DkvDV6zRk1DXapRTgbRn21cv+bGqtDw=
EQ6OTlK90fDlgMUWLllIu32VmBD/pLqqqnZa4ByfT8UJn57H43Ej1q/bl/ksvcja2lrz9u3b04y=
NjWUSRFadW7Zs2RYUFARbL1BZNcLCwv61dOnST/Zp2LRp08UlS5bAhCFMTk4e5+3t3V1W3Z/y97=
t379bGxcWV7d27V+oklJ2dXeTo6AiXvLh9+/Y1u3r16hw5iJ60ceNGh+HDh0vVKmTJW1JSUtq7d=
+8lJSUloCHB/RZ0qUay1V2W95pQKBREhIZszEh/BCsdLSJq1wKTjmZSZ/n7d29fjYrclAQCB8xd=
OLyPt7evNOHz8/Per14cdBku45h0NJPrjLGluZlTWPCu1s6hs8T0zc1NnMVzAs4tDl7r1dHMXKp=
75a0b147sidoGKzr4+cIMCXtKUKlAbW4N7N+9Z+8ek/1nzNLR1fus46vnTzPSN6xZmeTh2c8qMG=
jhRHm2AnC55fL5s7kDfYfBjSqJFzKSTp+4X1NdVT/ZP0Aq1tL6gcNmt5xNPHE0MeE43IGAiY7u6=
elpefjw4RkWFhZSr+DKGpzR0dERs2fPviQ2GKm4urra37lzZ4PSJ7jRgj95v3791j982HoaIRw6=
dKjNqVOnlslbRm5ubi3czbCwsJCoTT18+LA8Pj6+UNZd99evX+fb2dnBcSrXx8fH/OLFi0vA/V0=
SDnB8261bt/hNmzZ1HzJkiIMsvCT9/f3792X+/v4RFy9ehAtp8p+jH0u6yCeRSFKPJ3ZsDl/6IO=
UuGKmoUfsPrtPTM5BK9GdP0s+Hh6z6A4RduDx4jEvP3qOkNayirKxkzvTJMSYdzTUXLFk2xsjEV=
KojBYvVyDq0d8+VTna2hgN9h0t09xMI+PygWTN2rVy7YYyuvr5Uq3Xag/v7tm4M3d/G9Q/25LCq=
w8CAldxAW0/PfOJU/zGdf3J2U1FR+ST1O+dldsqaZYtAa6BOnh7g3X/QkJEUCkXa4OCfOXn8dnZ=
mZvnajRFSXXdvXL10vaSouGLitOmf7OLL4/F4hQX52WdPnzjx+OHDLLEhEbYuIJu6np6eUUxMzN=
j+/fu7aWlpyXXDsG1/79q1KyQgIACIDuW2XkR6+/btJktLS7lXt3fv3uVaWlouFxv/QE1VXbFiR=
b8FCxZM0tbWlngnHmTJyckpHT169NUzZ84Ms7a2lmh1B8+5hISEFyEhIYOkjdmSkpJ8U1NT2CPz=
Ro4caZmYmLhJFnldXV23r1u3rvegQYM+2WGmrq6OlZKSkjp//vzjeXl56PwcjHqgsqPoOJIvzIR=
t3XFWKBRp8VujfvBpIqGITCKThGSIvkKj8ihkSvMfh2MPvMjMBBWBsmTlml+1dHRsuVwOjc8X0I=
SiPwPbU8lkAYlC4TGVlHgvszJvHdq/98+bcZOmuTs4OfnweTyqgM+n84XC1kmFTCJBlBCI8CKsq=
a56Fxm2/iz8GpxWxo7383By7uqqraNjzFBSbjXYCIUCQWN9fXV+fm7O+VOnUt6+za0ZMXps5+49=
enYX8PkQdYYML5mEQQNAFiGfy22O2bYlafzUaf10dXQNBXx+axqczBChhcdgMLjPn2Ukxh2MBdU=
SgYci5fzFUCImvK6ZmVlHd+/+rtbWtg7aOjodVNXUNGg0xl9Iy4H4Lc3NDSwWq6Kq7MPrBw8f3E=
u9dwc6CSYQ5b79Bzj29fYZ2MHQ0FpFVU0Dw/409jU3NdaXFBW9vX7pwv1HaQ8L7OwcNH6bNHm4U=
CiCyDCUv2BOJkPUE9HTx2kPrl66kOPex9vW3MrSvIOhoZm6uoaOsoqKOoOhxCRT/j8oA5/P4zc3=
sRrramsriwoLch+npWY8S38EaiBoMqj9cNMK+grsFLDt0bG1tQVrsKubm5ujsbExWIXV4VQAP8D=
BnxtucEFUlPr6+urCwsK3OTk5WbGxsXcLCgrAaATlAk4au3bt+tnLy2swl8ulw/5UKBTCddWPBk=
8SiSRC0WQgCs2tW7euBgQEwG04MDwB0Vu3Vi4uLtbz588f2L17d2d9fX1diNACMkF0ltLS0rLk5=
OSny5YtS2tpaeGdOHFikImJiQGPxyOh+tDRIMRIefPmTfHNmzfzZ86c2QelgXStY5ZMFtJoNB6T=
yeSVlZXl+fr6wmLG9/Ly0o+MjJwiEAhUOBwOHSLSQB4kO5VKBVk5s2fPTmxpaRGNGjWqk5OTk4W=
ZmZmptra2toaGhqqysrISXsNraWkBD7b6kpKSstTU1GyI2JOVlVWI6yNwT8WHwJLqpvp/IZ5LDA=
bh3+cAAAAASUVORK5CYII=3D" alt=3D"http://marcusevans.com/images/marcus-evans=
-logo.png" width=3D"63" height=3D"20">
&nbsp=
;
&nbsp; &nbsp; &nb=
sp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; professional training&=
nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;=
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbs=
p; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &n=
bsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; =
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp=
; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp=
; &nbsp;
&nbsp;
</td>
</tr>

</table>

----150075054F2E427DB5A6597616A162--