MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01C40A00.C26F0530" This document is a Single File Web Page, also known as a Web Archive file. If you are seeing this message, your browser or editor doesn't support Web Archive files. Please download a browser that supports Web Archive, such as Microsoft Internet Explorer. ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation

This presentation contains content that your browser may not be able to = show properly. This presentation was optimized for more recent versions of Micro= soft Internet Explorer.

If you would like to proceed anyway, click here.

 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/master03.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
Click to edit Master title style
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/master03.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/preview.wmf Content-Transfer-Encoding: base64 Content-Type: image/x-wmf AQAJAAAD2QEAAAUALQAAAAAABAAAAAMBCAAFAAAACwIAAAAABQAAAAwCeQChAAMAAAAeAAcAAAD8 AgAA////AAAABAAAAC0BAAAIAAAA+gIFAAAAAAD///8ABAAAAC0BAQAOAAAAJAMFAP///////3gA oAB4AKAA////////CAAAAPoCAAAAAAAAAAAAAAQAAAAtAQIABAAAAC0BAAAEAAAAJwH//xwAAAD7 Avb/AAAAAAAAkAEAAAAAAEAAElRpbWVzIE5ldyBSb21hbgAAAAAAAAAAAAAAAAAAAAAABAAAAC0B AwAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAhYAAAAyCjYAOwAKAAAARXZhbHVhdGlvbgYABQAE AAMABQAEAAMAAwAFAAUABAAAAC4BAAAcAAAA+wIQAAcAAAAAALwCAAAAAAECAiJTeXN0ZW0AAAAA AAAAAAAAGAAAAAEAAADIOhUA5AQAAAQAAAAtAQQABAAAAPABAwAcAAAA+wL5/wAAAAAAAJABAAAA AABAABJUaW1lcyBOZXcgUm9tYW4AAAAAAAAAAAAAAAAAAAAAAAQAAAAtAQMABAAAAC4BGAAEAAAA AgEBAAUAAAAJAgAAAAIiAAAAMgpLAC4AEgAAAExCU0MgNzk2L0NNU0MgODI4bwQABQAEAAUAAgAE AAMABAACAAUABgAEAAUAAQAEAAMABAAEAAQAAAAuAQAABAAAAC0BBAAEAAAA8AEDABwAAAD7Avn/ AAAAAAAAkAEAAAAAAEAAElRpbWVzIE5ldyBSb21hbgAAAAAAAAAAAAAAAAAAAAAABAAAAC0BAwAE AAAALgEYAAQAAAACAQEABQAAAAkCAAAAAi0AAAAyClYAKgAZAAAAU2Vzc2lvbiA4LCBNYXJjaCAx NSwgMjAwNAAEAAMAAwADAAIABAAEAAEABAACAAIABgADAAIAAwAEAAIAAwAEAAIAAQAEAAMABAAE AAQAAAAuAQAABAAAAC0BBAAEAAAA8AEDABwAAAD7Avn/AAAAAAAAkAEAAAAAAEAAElRpbWVzIE5l dyBSb21hbgAAAAAAAAAAAAAAAAAAAAAABAAAAC0BAwAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAA Ah4AAAAyCmAANwAPAAAARG91Z2xhcyBXLiBPYXJkAAUABAAEAAQAAgADAAIAAgAHAAIAAgAFAAMA AgAEAAQAAAAuAQAABAAAAC0BBAAEAAAA8AEDAAMAAAAAAA== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/master02.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Evaluation
LBSC 796/CMSC 828o
Session 8, March 15, 2004
Douglas W. Oard
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0060.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Basis for Selection
&#= 8226;Visceral
&= #8211;“I’ll know it when I see it” (expected answer)
&#= 8226;Conscious
&= #8211;Might be true for known item retrieval
&#= 8226;Formalized
&= #8211;Used in the TREC interactive evaluations
&#= 8226;Compromised
&= #8211;I can’t imagine a case were this would be right
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0002.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Agenda
•Questions=
•
•Evaluation fundamentals
•
•System-ce= ntered strategies
•
•User-cent= ered strategies
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0033.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Evaluation Criteria
&#= 8226;Effectiveness
&= #8211;System-only, human+system
– <= /div>
&#= 8226;Efficiency
–Retrieval time, indexing time, index size
&#= 8226;Usability
&= #8211;Learnability, novice use, expert use
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0011.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
IR Effectiveness Evaluation
&#= 8226;User-centered strategy
&= #8211;Given several users, and at least 2 retrieval systems
&= #8211;Have each user try the same task on both systems
&= #8211;Measure which system works the “best”
– <= /div>
&#= 8226;System-centered strategy
&= #8211;Given documents, queries, and relevance judgments
&= #8211;Try several variations on the retrieval system
&= #8211;Measure which ranks more good docs near the top
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0013.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Good Measures of Effectiveness
<= span class=3DBB style=3D'position:absolute;left:-3.99%'>•Capture s= ome aspect of what the user wants
– <= /div>
<= span class=3DBB style=3D'position:absolute;left:-4.22%'>•Have pred= ictive value for other situations
<= span class=3DB1B style=3D'position:absolute;left:-3.56%'>–Different queries, different document collection
– <= /div>
<= span class=3DBB style=3D'position:absolute;left:-4.43%'>•Easily re= plicated by other researchers
– <= /div>
<= span class=3DBB style=3D'position:absolute;left:-4.43%'>•Easily compared
<= span class=3DB1B style=3D'position:absolute;left:-3.97%'>–Optimall= y, expressed as a single number
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0069.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Comparing Alternative Approaches
&#= 8226;Achieve a meaningful improvement
&= #8211;An application-specific judgment call
– <= /div>
&#= 8226;Achieve reliable improvement in unseen cases
&= #8211;Can be verified using statistical tests
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0081.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Evolution of Evaluation
<= span class=3DBB style=3D'position:absolute;left:-4.58%'>•Evaluatio= n by inspection of examples
•Evaluatio= n by demonstration
<= span class=3DBB style=3D'position:absolute;left:-4.22%'>•Evaluatio= n by improvised demonstration
<= span class=3DBB style=3D'position:absolute;left:-4.14%'>•Evaluatio= n on data using a figure of merit
•Evaluatio= n on test data
•Evaluatio= n on common test data
<= span class=3DBB style=3D'position:absolute;left:-4.29%'>•Evaluatio= n on common, unseen test data
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0012.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Which is the Best Rank Order?
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
a
b
c
d
e
f
g
h
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0012.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0012_image001.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGAAMAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAX AAsBgAAAAAAAAAL/jI+pB+0Po4m0zordzXhz6n1QKGpBCZ7oqK6m+5CoXNKi/eGcnvFdC/NZFsSi 8ShMwV5LQFICdD1ZTWd0NY1dZ9ta9/bNhXfjXvlXzTKX6kbbaUUu4M23/TxM45X1PVQP2BfI5kcl eEg4GFSopSdHFPc4h7ioKMW4Vkl5aYmF6fZp1ck16lUKdiomuSqZSuZqBou26SmbR0uKa6qLyitm m8IqfAT85/t6HJs8m7h82wytGc3pzDftOZydQHed27373Rv+W208jnyunM4s3U69PqTN7V5bbghv Te+tD84v7k8OnzmA6AiqW6QtIQN7jRhmemeQHcSJ9QTei/gMYz6KVPs4elGosNhFj/9IBtQ40GRB lQdZSqyIciRMl/FAynMISmRDiztj9qS5cabQjkP7AU1ZtGTSHJFYzTsqk6hUo0tXVm159eVUpVtP Qv2ZNeNXE/IKAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0012_image002.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGAAMAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAW AAsBgAAAAAAAAAL/jI+pBu0PIYs0zorBzXRzGXyVJzZkeYrpt3Jt9mLxGJagfePO3NW65tMthsSi MYjjWZA2Ze7nfER3TFRVdWVlXVtYV/al/Uzh3hh4npLT5eWxyI6P1eh5+ym8S/VUOZS/ZueXN5gE WPdX2PTG2HigaAWJJalFyWXphQmmKSbomfhJaOdIasRpFmp4urSKp5q62Lon2wcbaTs5WrqrQBsI Ciwa/Doci1t5fJmcubzZ3PnHK/34jFp8e52bjbyt3M387RwOLVxObL447YuIjt2u/c4d7z0PXi9+ T36+bzzeM62uGiuBrvrls3ZwoD+FCQu64/fQIER4hgBKW0cn4yGNQRg3euwIkuAskbUWgrDIK6TJ kStLNmT50uVEeTPp1bR3E19OfekukvwVE+hOhEMZFnVIUaLSiEyTNqW51CkWaQUAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0012_image003.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGAAMAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAW AAsBgAAAAAAAAAL/jI+pBu0PIYs0zorBzXRzGXyVJzZkeYrpt3Jt9mLxGJagfePO3NW65tMthsSi MYjjWZA2Ze7nfER3TFRVdWVlXVtYV/al/Uzh3hh4npLT5eWxyI6P1eh5+ym8S/VUOZS/ZueXN5gE WPdX2PTG2HigaAWJJalFyWXphQmmKSbomfhJaOdIasRpFmp4urSKp5q62Lon2wcbaTs5WrqrQBsI Ciwa/Doci1t5fJmcubzZ3PnHK/34jFp8e52bjbyt3M387RwOLVxObL447YuIjt2u/c4d7z0PXi9+ T36+bzzeM62uGiuBrvrls3ZwoD+FCQu64/fQIER4hgBKW0cn4yGNQRg3euwIkuAskbUWgrDIK6TJ kStLNmT50uVEeTPp1bR3E19OfekukvwVE+hOhEMZFnVIUaLSiEyTNqW51CkWaQUAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0012_image004.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGAAMAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAW AAsBgAAAAAAAAAL/jI+pAe0PI4uUzorbzXVz+WFe6IwkYJJpuH4t92axeIL1M3c3vpe9tggKh8Mf ypizIJe/pK3nhER5TSbUupv6qtxrN0skYm9azbhWPn7J51P63VbFWXNXHYYM6/eJu8xPs4YGqCPo RqhkKKdIx2jnCMMnqYf4lFUphUnlxXkJ+fcZ2MkWWjiKNpkqpLl1elia6Loo20j7aIsHa0mKCwql Ctynmzm86dkreqzMuzxY3Nr8imwaPQsWzGr2rD0dW137fRue273rXE6MbsxMFuwOt62mDs1+Pu57 n1wvnU+9b/0PXLt3wLLJ6+ctoDiF5BCa48cQX0R99ib6q4iKoCqDLfDmcXOYDuQ6jBBJAjQpEOVC lQ0tWnDHMWa8jiLpsZR4k2LJnSd5pvS50o27AgA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0012_image005.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGAAMAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAX AAsBgAAAAAAAAAL/jI+pB+0Po4m0zordzXhz6n1QKGpBCZ7oqK6m+5CoXNKi/eGcnvFdC/NZFsSi 8ShMwV5LQFICdD1ZTWd0NY1dZ9ta9/bNhXfjXvlXzTKX6kbbaUUu4M23/TxM45X1PVQP2BfI5kcl eEg4GFSopSdHFPc4h7ioKMW4Vkl5aYmF6fZp1ck16lUKdiomuSqZSuZqBou26SmbR0uKa6qLyitm m8IqfAT85/t6HJs8m7h82wytGc3pzDftOZydQHed27373Rv+W208jnyunM4s3U69PqTN7V5bbghv Te+tD84v7k8OnzmA6AiqW6QtIQN7jRhmemeQHcSJ9QTei/gMYz6KVPs4elGosNhFj/9IBtQ40GRB lQdZSqyIciRMl/FAynMISmRDiztj9qS5cabQjkP7AU1ZtGTSHJFYzTsqk6hUo0tXVm159eVUpVtP Qv2ZNeNXE/IKAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0012_image006.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGAAMAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAW AAsBgAAAAAAAAAL/jI+pBu0PIYs0zorBzXRzGXyVJzZkeYrpt3Jt9mLxGJagfePO3NW65tMthsSi MYjjWZA2Ze7nfER3TFRVdWVlXVtYV/al/Uzh3hh4npLT5eWxyI6P1eh5+ym8S/VUOZS/ZueXN5gE WPdX2PTG2HigaAWJJalFyWXphQmmKSbomfhJaOdIasRpFmp4urSKp5q62Lon2wcbaTs5WrqrQBsI Ciwa/Doci1t5fJmcubzZ3PnHK/34jFp8e52bjbyt3M387RwOLVxObL447YuIjt2u/c4d7z0PXi9+ T36+bzzeM62uGiuBrvrls3ZwoD+FCQu64/fQIER4hgBKW0cn4yGNQRg3euwIkuAskbUWgrDIK6TJ kStLNmT50uVEeTPp1bR3E19OfekukvwVE+hOhEMZFnVIUaLSiEyTNqW51CkWaQUAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0012_image007.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGAAMAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAW AAsBgAAAAAAAAAL/jI+pBu0PIYs0zorBzXRzGXyVJzZkeYrpt3Jt9mLxGJagfePO3NW65tMthsSi MYjjWZA2Ze7nfER3TFRVdWVlXVtYV/al/Uzh3hh4npLT5eWxyI6P1eh5+ym8S/VUOZS/ZueXN5gE WPdX2PTG2HigaAWJJalFyWXphQmmKSbomfhJaOdIasRpFmp4urSKp5q62Lon2wcbaTs5WrqrQBsI Ciwa/Doci1t5fJmcubzZ3PnHK/34jFp8e52bjbyt3M387RwOLVxObL447YuIjt2u/c4d7z0PXi9+ T36+bzzeM62uGiuBrvrls3ZwoD+FCQu64/fQIER4hgBKW0cn4yGNQRg3euwIkuAskbUWgrDIK6TJ kStLNmT50uVEeTPp1bR3E19OfekukvwVE+hOhEMZFnVIUaLSiEyTNqW51CkWaQUAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0012_image008.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGAAMAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAW AAsBgAAAAAAAAAL/jI+pAe0PI4uUzorbzXVz+WFe6IwkYJJpuH4t92axeIL1M3c3vpe9tggKh8Mf ypizIJe/pK3nhER5TSbUupv6qtxrN0skYm9azbhWPn7J51P63VbFWXNXHYYM6/eJu8xPs4YGqCPo RqhkKKdIx2jnCMMnqYf4lFUphUnlxXkJ+fcZ2MkWWjiKNpkqpLl1elia6Loo20j7aIsHa0mKCwql Ctynmzm86dkreqzMuzxY3Nr8imwaPQsWzGr2rD0dW137fRue273rXE6MbsxMFuwOt62mDs1+Pu57 n1wvnU+9b/0PXLt3wLLJ6+ctoDiF5BCa48cQX0R99ib6q4iKoCqDLfDmcXOYDuQ6jBBJAjQpEOVC lQ0tWnDHMWa8jiLpsZR4k2LJnSd5pvS50o27AgA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0014.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
IR Test Collection Design
&#= 8226;Representative document collection
&#= 8211;Size, sources, genre, topics, …
&#= 8226;“Random” sample of representative queries
&= #8211;Built somehow from “formalized” topic statements
&#= 8226;Known binary relevance
&= #8211;For each topic-document pair (topic, not query!)
&= #8211;Assessed by humans, used only for evaluation
&#= 8226;Measure of effectiveness
&#= 8211;Used to compare alternate systems
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0101.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Defining “Relevance”
&#= 8226;Relevance relates a topic and a document
&= #8211;Duplicates are equally relevant by definition
&= #8211;Constant over time and across users
– <= /span>
&#= 8226;Pertinence relates a task and a document
&= #8211;Accounts for quality, complexity, language, …
– <= /span>
&#= 8226;Utility relates a user and a document
&= #8211;Accounts for prior knowledge
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0015.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Set-Based Effectiveness Measures
&#= 8226;Precision
&= #8211;How much of what was found is relevant?
&= #8226;Often of interest, particularly for interactive searching
&#= 8226;Recall
&= #8211;How much of what is relevant was found?
&= #8226;Particularly important for law, patents, and medicine
&#= 8226;Fallout
&= #8211;How much of what was irrelevant was rejected?
&= #8226;Useful when different size collections are compared
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Effectiveness Measures
Relevant Retrieved
False Alarm
Irrelevant Rejected
Miss
Relevant
Not relevant
Retrieved
Not Retrieved
Doc
Action
User-
Oriented
System-
Oriented
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image009.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOQFSAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAA3 AVEAgAAAAAAAAAL/jI+py+0Po5y0GoCz3rz7D4biSJbmiabqyrYuGLzyTNf2jed6Ge/+DwwKh0RA r4hMKpfM3bEJjUqn0if1is1qZdat9wsOd8Pkslk5PqvX7Fq6DY/LRe+5/R6v4/d8cf8PSKYXSFiI NGiYqKiDuOj46NIIOUlJIlmJmalxqdlJyekZuggqWkpIaprKh6raOsfqGssGK1tbRmub64Wr23vF 6xsMBSxcnERsnCyErNzs5Ay9xRxNzVV9HTWNvX2izf1NBy4e5D1unlF+bp6ebOH+Dh8vP89gRH+P n6/vrm7JLvwv2IV+4QiGGGjwQ0BfCBN2WNirocMNEHVJnIgO48OKn7k42rqo0WMtkBhFyiI50WQs lA5VumKZ0GUrmAZlqqJJ0GYqnP10muKpzmcpoOeEiiK6TiMHpOOMhmIqzqknqOCkdqL6zaomrNy0 ZuK6zSsmsNjEViJ7zewntZPYQkJbze0juNTkOqIbze4ovYr4JsILza8hwM4EFyLczPApxYEYA0Ks zPEfyO2UUpTcB/MqzXv2ef4Mep+90KRLm35QAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image010.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhnQAqAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAACc ACkAgAAAAAAAAAKoRI6py+0Po5y0WgSy3rz7D4biSJbmiRpByrbuC8feIdf2jbN0zve+vfsJh8RQ sIhM/o7KpjPGfEqnpSj1it1Ys9zptgtWfsPk4biM5p3T7Nq6DXe94/TTvI4X3fP8zr4PqBI4SPJH iGd4SJeoCMfYyPYIiSY5SVZpCYaZybXJieX5SRUqKkVa6nSKKray2qfqWgQba9ZKWzd765Orq6Zy ARwsPExcvFAAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image011.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhpQEEAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQCh AQMAgAAAAAAAAAIijI+py+0Po5y02ouz3rz7D4biSJbmiabqyrbuC8fyTNdeAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image012.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhaQACAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQBo AAEAgAAAAAAAAAIIjI+py+0PYywAOy== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image013.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhpQEEAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQCh AQMAgAAAAAAAAAIijI+py+0Po5y02ouz3rz7D4biSJbmiabqyrbuC8fyTNdeAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image014.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhBACDAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAgAD AH8AgAAAAAAAAAIRjI+py+0Po5y02ouz3rz7fxQAOx== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image015.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhAgAvAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAAB AC4AgAAAAAAAAAIGjI+pyx0FADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image016.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhBACDAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAgAD AH8AgAAAAAAAAAIRjI+py+0Po5y02ouz3rz7fxQAOx== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image017.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhaQArAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQBn ACkAgAAAAAAAAAKETICpy+0Po5zSHIqz3jyZDoaiZo3miQJfyrZY6cYys852DN96Wu++mPsJOcGh kdI7KiHFpXORfEpV0amzalU2s9oL97n9DrHiX7jsI6N15/VN7Z614zI43TW/t/J6nrf/Zgd4Ijg4 wmcI9JeIV8jY4fi4gSg5uVhJGImJdLmp2OkJYlAAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image018.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAACC5VTv2/TQBj97pLa9dkRaRIighgMA0NFEUUdCgipLEjQNqra/gMmOYQrJ0axiZXN Q6cO/JoQYsqMxAZCYggDrYTExMB/wMzARCXCfXdnK4myYOmS9969e993Pt+Pb8evQT5pAxywEL3Y JAgKp0T8wAU5uyCGRTNECdGI0PF4LNFVck5rdu5zKDhpoyLQZeMMnIcxmqEs+EigoRgbDYChLdZo jwPbXvxof/CYCw9dFOofqlbgUxRjhajsGq3ThyaiqkDFqtJcI9NcI9OWWaYts58V3M8pTf+qxOdy J0UK5X2/wyO3yRN3N+x4Xfjw5SQZieGOviYA13RtAtjTdXbEtuq4zbt3LMlTo11Hx7YfRbMV8IVh hb1B50EYQLIhhFtL7N38ClT+/5qodOUsRqz4eeUq8ts5XzMmeWrcn/KnxkF1en7a36cZn9P3f70Z 1TfN+27WMGLVtyV/b3+3cWaXB7zvdWNLqzcsXNcMY1f5XlkvS8p3wFsxby9qdb2EaS53NE9NJtC9 Xk/n2brqG2LiuXhBED6J29meA9WLp1xvzWdssheV+XTBLVlSjXs+7/N2rqemNeF2Y6ZTa9SQektU U95hYYfNyzgk87MPyWy2o0/lpryMOz3e8iM/7MqaeEOYvEXycECdWBlMyT7Je0covbQ3iGLeQcbg IhxJM05u/a7Ax88nyeyXVpDr/wGb56cCDAQAAA== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image019.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhTgGeAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAQABwBI AZMAgAAAAAAAAAL/hI+py+0Po5QhzIszrjrzDobiSJZXhaKTampp2n6tws72jeeiLEO9frDQhICf gwj0IZPMprPUMzKkuqUhap0+j9mt9wsOIqnDpxQbIW/V4bYbh07UrssajC58iYsfPSL+xwPDwfJj d0g0h8f31uiYI1hWFEg5SSd3eXnXlxUpl7fHR2gx1xcaFDqWx/bY6prmV8mYOVvLc8qZ2hmLu3ra C3wVDPhabKxEKxYruJy4UJjoK2n0kptMWx2NirepevwNLll7HfxM+kkqPXumLStL3W5uST7OGn7v 5vn73sXonemJ3T6B5PSV+ffJHb6Fj4jZ6eVMYcB2BJM9tGWF2baB/7fq9WP4hpU9G4ZUlTIJL6Go lQDPSUSpLZ04USnRxbkDckU2kh/pVeGFKBCWLhlH6Rk09GQ0kzSFMn1mrqjMnB7iUb2KNSsYYlq7 ev0KBSHYsWTLPriZbukQh4Q4olFkNq5cZHuQAqzEKeI6tNwsZhs5N/BCfSV1/cF1GNs/g4IbB672 0g8VjSo9KnaM+THROrumoOSH1+qJv6RLmz6NOrXq1axb7xQ8mbO82ULL7f1VOrNukLHRbbtoKzHG 0Pt2G8/a2yZM0ML8XvZ5PPo9yE7XWlcGCtHnvjile/8OPrz48eTLm9cNOET68+zDUg+bBG77+T+L N+jpZD39/S7EHv9xpB9/AlLgn2cA4jdggqMpxBJNMkHjW1+LTFhbgApeWFlNFKlgFF4DpRIaghiO GBVcExVHWDwqqjMOiS7SBY9komHUzEavcfVijrQVJk5NLVJSoGU6DrmjbD0WZZ8mDApJZJPOKfPb jJTNc81FODqZI4/cxPRjUkgqF6KIWO73XoNKNYVdbVBdV6GYY74JZ5xyzklnnXbeiWeeeu7JZ59+ /glooIIOSmihhh6K6AgWDuYmCIsmuqV8njXKU5mKUloVppBmKOajLhS5woGb7hAkbU10liQNoo7q aKkzxYcqdEt+4emmOCpS0lJqOVhXXlp2ycwoLOWaJoUmCstqB4z/reOOKVVe1g09yzq7l7AnNdci RSEmqywvzw337YrPsdPduFKKi80wrnLLRUHvBXvIRmqeOI1U0bqLXbzY3rguuwZWuVmqbbVpLqhL TjtjXQf36++RlXF6n0sFt2SwfQgLLPGPTDYMS7Md0ShvthsaNtNQUaK4K5UiR3Qlny3r9DBQyz1c rZm+GIkbTm35yCvNPbdU61x/QTJlpmdSiCbSwkG5E1IwPdXgSt1NPVlU1nn6qKRKr5EwfKlybLSi EYecH8Pdzgr22eoFHJLZ/aGddlWkQqXpDLfGOPOTcV+6g8qTrMKZxBx6DSy2t4G7cW7sKu7zCYb/ vbQlhWzdbbng/0YRrtt7n1W35ImNgcm+ZLfqroycWxX03rm+FrpeoIcOuwmMVeSbQRa6hnvuuu/O u+5zK2uj4UStKbtotJfD1tCLk2bqBr/JyzbccufMckcpSr95x8AL8/rjro9OusdKTXTOy9kTuL1F n6cbHAllBhUh00YB3rnq3p5OrYzOPKT1+f7bmbr/lUd5sKifANuzrLGZ4YCOMR/27MbAxjjwazyJ IGwKhKvAFWtYOkvLliwol4tR6SYfGs69AgjCYlgKcddj3+VGlsK4WMMp+nIQYaz2whjK0HjRI8PA 5DcxHZJldj3sxw9zSDEhDlEswJkSzoI4QyV+5Vcyo+Gr8mIzJf9JUSvvKxrVhlc7yDhti2QsoxnP iMY0qnGNbGyjG98IxzjKcY50rKMd79gIFHpBj3SJ4Aoz1QYCau9UfDRUAAv5H4idanogPKQBnRez R6aBkRZ0pBm+JKviUdKPMbFW0Va2QWjES5RsYRPA7PXBrXFIkpDylQ0Px0RQPMuEECocvuZxrRFK g4S6YGWiiKhIFqpIXSSjISZbeLjmtHCCmwOmMVdUo8dNiF7EUU6KTHckbGYye85MUgK1CEQkMseb CasI7RBJqG765Jv+YA41baMxxC3MYppLmzrNBJGQaWmGUdQbPhVTvepBSZn1JFNB4cDDtSSPZzXT 1xGpSDUr5kv/YT+rli+nyDgcRo1WzJOQmjy6UbKt8igjzRfUMhi/gSLtWFMJ39pYF7n6xM5UWHMS Om9gufT5LZ44zQjnHphIIt0Uoe6bKeQIScmsXTQ61GJI0PCTMSBgbqI5s8lARzpUCfbvG08dnSyZ MFVheixzpYOprTraOEhKUy+wiqY8baeOfpaxVitkq1S791FA8CWJaMTbH3GpKvD1dGmrrOqT3mm0 3il2sYxtrGnW1jd9/nWwFdPrYmD4zK2mE61AvU9QpUm0f70VdXFlkRlrqgWjhnY2gyvlC63V184Z kXg/yWlJu5GUMFJOiJPlwuokisfgkierwm2VXyt3v4gttbgxqjgDBRTI01fFh7mj8ekkRRvdzkKB ujoxxCBLJiLiUpC7qCiFVVMZSVOC0qOk7CT9lrtGFl0WYygT3mJKGIkTwpeNwzysEe+HzAATk6/k /Wz+5vsvv16zg17lp2kLTNvB+Re6vxrnQXQrTginNpQIrtg6u9bOASdTw7Q1VofBm9d8eg9nDt5m gWOVzCNyBLgeOZZKSkqx/Z4RwOdVpcxSlrSQrnV+WBUyeQoAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image020.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCQECAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAAH AQEAgAAAAAAAAAIUDIynyesNn4x02oqvznz7Dn5iCBUAOx== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image021.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhBAECAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAAB AQEAgAAAAAAAAAIUDIynyesNn4x02oqvznz7Dn5iGBQAOx== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image022.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGABSAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQAX AFEAgAAAAAAAAAJsjAOpy53nYjSyLmQtzpPX7TFgqIwkYJJpuHot92axdor1dZf5s6P9/PkJd0BJ sUMc5o4OZsNpS0qnyx4KKsJeDkxKzfulnrQ88Vh5I/vMKnSYzXKf4S55mw6zx/EyfZ1PA2jk15cG BcGCeFIAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0109_image023.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGABaAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAAX AFoAgAAAAAAAAAJ2hI+JwaF/GpyAUeruzPrxrnzgMnpleCbiuZbt+IJxN2v1dWMpuRv51vMFK8Mf xGgKIlHKorMJ7S1VT2k1NeXtskKsRdaYhrmRb9R6xQ6JZ3WblYa/XXH6HFbH32V5/p7WB/hnE0g4 iFOIeKizyNi4QeZjJtVQAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0054.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Single-Figure Set-Based Measures
&#= 8226;Balanced F-measure
&= #8211;Harmonic mean of recall and precision
– <= /div>
• <= /div>
&= #8211;Weakness: What if no relevant documents exist?
•<= /span>
•<= /span>
•Cost function
&= #8211;Reward relevant retrieved, Penalize non-relevant
&= #8226; For example, 3R+ - 2N+<= /span>
–Weakness: Hard to normalize, so hard to average
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0054_image024.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAACC4VSPUvDUBQ9776kTdqCwQ8Qp9DBRS1WcHQRLA4q0hbnVghUMK3Qgnbr4OTk5ODi XxAHcXDo5CC4uDi4iKNT5wrG924+sFkMPHLOzbnnfuS9vTxdgx/XHprC1mhUFVBAqhcMzPFXUx2b NDLUISE4IigIAo6UxDxHyiQidZ7ivAINTdeeVmgxM4UFBDoJjuJDhR7U+bCAMyXNR5oCdpu9Vr1/ 4gG33NRYuVlhoyhyxRURus/Sp9yRGs0otG3GsftMHLuzYgcn5SAiB9By5AB6tfTE3zT4CbWXQk9k EJz6ke913T3v1K12/GYbOA9diDtby7XMrazWVhP+LjXfj3iDKtC8gnQF/FNBcr+jpNKB/OJK6wm/ YF5K+HNG89WED4xJvWtM6hvyr74tbkzNy7yxVKdqR3Bqff+wcwyKNxD2J6P8TeOK85eSyce8xQ3k oj+c41vAg0c1HGSZPfK9EUTFWr/b83wgvQPJul9ubuqvugIAAA== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0054_image025.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhXgA8AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABQBY ADMAgAAAAAAAAALahI+py+0Xnpy02hTi3bxL7YUiB47m2ZTouqrsK7rwvMn0Pdn4vmR66Avyhj3E jzjTKJHMJfMpfCKdqWBGGjMcc9au9wsOi6kPL9azPbN86vaJzYDXrtV0VltEQ+JEkMzOh5fH46cg V7NnSLdTGIgo6HjTGFkxSQljaUiSmMLIOWiRqYkj+hlqijF0qLRI0urX6iY7S0tYS3ormas41mXk C9FrtotKbAJoXJm8zNzcE9UCrVZ6B4CMabSWPb2NAttGDXSIFTF+DMlNE96niy51faEC7x1LX1IP UAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0102.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Ranked
Retrieval
Query
Ranked List
Documents
Abstract Evaluation Model
Evaluation
Measure of Effectiveness
Relevance Judgments
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0102_image026.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhWwA4AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABa ADYAgAAAAAAAAAKdjI+py+0PI5i02ouz3rxv44XiSHpgiaaqdq7uS7bwTGNyjdN3zq97D4wFgkTU r4jMHJNMyrLJfEKR0imxagVis7wtF+f96obiZrj8OqN95HVR7Ta249o5vWu/g/P6cb8H99cRKPjB V8iGWEOoeMHYWPEIOSE5WQl52ZipuInYWfgpGPo32leqd3qXSrca1+r2uhaLNlsWcYubq5tbAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0102_image027.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhXgACAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQBc AAEAgAAAAAAAAAIIjI+py+0PYygAOy== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0102_image028.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgAiAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQAG AB8AgAAAAAAAAAIeBGKJedy8lIuGPgmnzhz7un0X2JFegKbqolYoREUFADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0102_image029.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhVgACAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQBV AAEAgAAAAAAAAAIIjI+py+0PVwEAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0102_image030.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgAiAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQAG AB8AgAAAAAAAAAIeBGKJedy8lIuGPgmnzhz7un0X2JFegKbqolYoREUFADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0102_image031.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAAAG ABsAgAAAAAAAAAIbBGKJedy8lIuGPgmnzhz7un1XQJbmYlYkREUFADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0102_image032.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhWwBtAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABa AGoAgAAAAAAAAAL/hI+pyxwNo5y0pmez3hrzD4aAJ5ZmRJ7qOrKumr7yFs82Vd96k+8+0vv9gsId sXg7ImfK5avpZEGjMGpxai1hs6EtlxYIe78W8ZiMC6Nt6rXsLDLL5/S6/Y7P680t9xPuB9EWuDJI eGJ4qAWoeMHYeJAI+SE5CWYZ9zhZiVmmCcnZmSZK+dkYSopiqoiayrN62Oq6IDvraOuJW1GrOwJL yKsbjDtsWzx77JqcukzaLPrcGY05bVm9+Rt4DZrtt33a7fbNGr42HluOdg6cTrau3f717h3PtXeP n69/Z9+L4z+hXj+AKAgWNMgDYUKFtBg2dHgBYkSJkShWtNjHosAsFhutdKTyMUrIK3Ik8jEpRuNI JPMWFAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0102_image033.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhMAAKAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAwAt AAUAgAAAAAAAAAIXhBFxy+3/UoK0Qomz3rxLg1niuEzk6RQAOx== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0018.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Ranked Retrieval Effectiveness
Relevant Retrieved
Irrelevant Retrieved
Irrelevant Rejected
Relevant Rejected
Relevant
Not relevant
Retrieved
Not Retrieved
Doc
Action
R
R
R
R
1
2
1
3
4
6
5
10
7
9
8
= Rank
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0018_image034.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhugGEAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMAAQCz AX8AgAAAAAAAAAL/hI+py+0Po5wgWIqz3rz7D4bi2FkBiaapqbbuq53wTNcHa+c1rvd++QsKKbyh kVM8KoeypVOYfEoX0anV1bxqsZdMd0urgseeLPlc/nrN6JG4DYew4/THW3KvT/J6/bwPaMCH9xdo p2YYWJhIN7iHyMjgGAm2SIk2SWTJmHlptelZCSnSGVca6gSKenWKMZrYumqkKisV6/rad1v7Q8u7 tLsWGfyb41s8m8t1zKqMnPpMRozEbOscfVSNrTNdct2svb0jrtX9Yb7zTe4Tvg6DDqKuBO8eX2/d vjxGfw/UDyyPXb4Z/P7FMDgvYC+FNgoiJPIw2cCGE1E4jBihIkZq/xrTdTzHcCMpkQs/UswWkuQ5 lT0uvktJCibLDSZnHqrZEmdGmTZd9fQIi2cMoT8zFiVI9ElSQjqPCnL6wmVJpE2dVrW69FNVqT+v HuXKJCsCsDa9FiWbzKJYqGPZtkCLUiNclWa7rj0TbC7Juj31pmrndyPfsndNhQyMcfBMxNZwKabr VgXjKY4mI3xMt7Cha5YNYt6rOWihzv8+iyS9ZRTqe6YFh75UZHW91olN2L6NO7fu3bx7+/4NPLjw 4cSLGz+OPLny5cybO38OPbr06dSrW7+OPbv27dy7e/8OPrz48eSrs5Xt7vVX9bLQr2NvlzYg9+Tg 97Ufir44/Iv5w//2n1lkasmnC4CgCUiCfvsYeBqBnjEoGoJuOFgahJtZGBGGDykoCoX9aHgZiH6I WKGEMXloGIqzqZgeiY24yBqL78EIB4fR0NiijHjhOKOJIdhYDo/16bifkNIYuQ2S2AAJjo/xEJmk kqlJ+QyVyDCpFZRLanmjlVk6CRKYaXAZJJlXmlkMlpR5+QubvKiJj5jeyMnReW7Wcmd7eQKEZpt9 vrlnQn/iOaiehfJJJ02HogKnUoHmtyikkUqU6FCVrjFpWJlS8qgnjf616TChctKpppficqomowq0 6oWpPtIqN6VyGut8swbx6Sq3klorRb2O+CpTdv5ax64RVlBessr/Lstss84uO+yz0k5LbbW9DRvs TtnKYWxOxL647U3YhttAt4qYawy6BZJbrrpAsUvFtymOC28C7hZ7L1X1KpDvvFDlyqi8NfYbFcFt GIwJwpIpfOS+9jI8oMNjCXwwxAlaPKXEN2B8osaCUJwwyAuL3LDHAMflMbIpn0ypySQv+PLFMWfs 8swdu7wyxz/qrFXONu/8c8810ysxz2sGDRLSjQ39r9FLa8yyqTgzjZXSjvpMtMNOO2p1nVNDvbXX YGPddNcAkV11zmivZ3ZCa58V9tlUs6323HC3jdLb8dUNNt6O8V103EP5HZbP1h6OeOKKL854444/ Dnnkkk9OeeWWBF9OXAEAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0018_image035.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhNgDmAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALB4ABQAX AN8AgAAAAAAAAAL/jI+pAQwPo5Rm2luvhnnr7llgSDnkNJ5PqrKnS8Kh7NGb/Zkqp+9Nv8NhgC3i a4FcNHwRocgYg86kNerNmmPytCvskPsDO1Hep7hMPqu549I5Ca/E52g3u97Eb+9rbTvfx/S356fX FegzeMjHWPhGBxl5gBhkGNYoaKl46YiZqAlKWSR6RBplOiWpGrfkWYlaBXslm+U6aluKe6o7RfvF G3u3OhkKPGtc26mc6WuG/Lv82Zz27Bz9KjzMUHx92537vRveW009Hnx+nJ7MXG5XqB2fMP3evg5t ny/tDshPqI/tnjWA3ggekYeQm0FxC8kJNNcQXUR1E9nte1jvYkV8IJ8SamuFsV/IfxpLBtw40GRB leBQQmTJEKZDlyXiASgAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0018_image036.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAACC+VZ32tURxQ+s7vJJlI1il0qayXatLH2BxqqFPoUS1KEFUMq/fHQUmktSESlLbUG DMGKFgq+CAtSsE26QR9LH4RAXhJYyJMa9MWHFnwT+hcEArffzD1n99zZu9t71whZOsth7pwz8818 M+fM7NxriOgTyC5IAXLdEF2GSNr2BtEf+4n6R46NEhn66WWiCdi7KJr6s8DJED3E8y3IqNVBtkOO ffjBOPW8f9RQL3UDw+Z7oO+B7IW8AAmQ4nSbkPepfqTOq1xnM9F0HMZuyEuq3SzG/Ktpv912rmun pshjmoQMQF7j+ZNpU9NX68/qDut2po7zDZfFfjnGvkpR+ypF7fc9+33PXvHsFc9+0bNf9OzHPftx zz7g2Qf8eVL8pkyUn7W/aaLzs0vZVzz7imcfNFG7LWv7lGefYrusTR6+kNQvciy30P6XNjG+pzA2 rvK4ngXjR7R/3dR9MENhEh8MqI5vbfuo7o9aP8i4RrWd7o/67zikhAeEOj3FmEilhUztce8wPOI0 naQzKTmNMCeb9rc5L4Lxtwn9oJ15oXWcF51MLdXb2zajPMYtJHvlkTEZa7N9R8fjHJctzg6ejxBn ZCwe2zhuRa+9jq90eBnHo+i113jlVHhZF2NFr73Gq6TCy7nzqui1F7y11HhdOMfqeGsxePOp8Lqt j0fw5j28aiq8vKtT9Nq3j9eDE7s5no2zdHhhktjKcVkCR2LD6nVc7uRnW0/iIuPV/whyAHIBUoJc ojA+7fpPQnMJnjkJzQWXlxpiKm7PoQT7jx5bsz1a7zd6zP5ekDSGjeI7y3zvKL5z0NwBqzloZl1e aoj5zuGbcTjC9x7zfaT4rkDzCKxWoLnn8lLDntQ5fLOuvuZ7g/nerPG9gXIZ+U3Yy67s75mdwzcX iV/Ld4b53q7xnUG5gvw27BVX9vf0zuHb5TgJ31XmGyi+a9AEYLUGzarLZxrOnM7h2+3OTM33Lve/ UON7F+V55Auwz7uyfyZ2Dt+8O9M13yXuf7nGdwnlKvJl2Kuu7J+xncO3B78g+P/w7cWvztfeZy1f e28RvoNmCeUq8mXYq66s76wble/zGFOru2672JL8dzsbHTvg9DtwfzOqDq6O+r7XbM1OsHwKKaDi KeRDRu6nD4etiM3qShSf7B/xA+h1M+N9QeH9+R8KMfMeptiyLTBPOMy3aYhx8+HcRPAXGf8vasRf TIj/Tgv8MuP/GYNfToh/uAX+BONfi8GfSIj/bgy+rOkw439GjWs6TP+9pgdj1rTAmEMxYy4kGPPB mDVtNybWO8aaxVWaWPoO8h4qTiP/2PN7saWNpUVu9yQGU2xJfOVQE1/ZY0KMt0wjvtjS+spZbnc9 BlNsSXzFH/NG8xV7r/jchOf2zyl85TzkMeRrVNxtwm8leo7E1t1ijuz3lnFE45fuHekZ2sZzJJJn 2Whz9iKF31+OQPa1mDN5H2r18j70SjaU2nvivuh74iB1orZarWd61v6buId6TxwEMq+G/e8Bhf9F XzHhWTDo+Z/YCi387wfIUTqLPe8UVuA8ncMKnHSlr/BfbQw665un6VvIOdSzvriVfcH6Zy+Xt1I9 vsUmuj6up31acmmrYyvuu8Tz8HvpJ9Okn5x6tuPS/fQyL8GVfpN8r9R17D1iB9v7+Plfrs+aB4gd AAA= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0018_image037.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhxADMAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALBAAAACq ALoAgQAAAAAAAP8AAP///wL/hI84y+0Po0y02ouz3rx3CYYi45XmiabcyLakCsfyrLh2SOf6nt1+ xAsKdb9iY4hMooxMpfPZYxah1KpBOrVqldjf9jvs+sDknfhWTs/ONrVbxXa956Z4i45f2Uf5PmbP 5yeYACgyeHhVCIJ4qLjIKOg4AeknCUTZZwmBmanpwJnn+QlKJ3pEOmf6guqmusBaFSArS+E6AAs1 O1vrivsUEKXq6wT81zucpEtLeIw8pFxcI+yMpFthS/2szDudzRMNAJ7Y7a0DLg6AXb4DzW26/r3r LgrPiV7vfI9fHb5tsoxB3z4hwNqVkBdwoJWCAi9Yy9BQhwCF/fpFpMAwg4CJ/yU2mtjIcV/GixUA JpgFMqXKlSxbugyJb+QJkxZgdrDJASe8XTQ59MT4ROfOgih+ngxK8RdSkRYRslsas6lRGSRnCE36 1MnVcsWqFoUqsqvXf2CjHhh7sGw9g9/UrnWaVclWb7TQptVKkafdDntRzKVGNBxBt+sCC4RrUUPf E3/z+cOY8Wxkh4QLI5ZcEfNUA4s/5t1QV9xlqZtpNEZGMjQC1QnxKmR7cnLF0p075n0ce/bIiLU9 nE4qb9no1ZWx5uh983XpGchzDsQdpPmG37CiSafs2qxgftnfwjZX3PH34+GNUy1vHsZ1DCDTD5br 0X3b7kPHS0Y3/Cx6X9CMsv/mLFtJ+w1zjgX/ZabYgPwRV5JsD7WWRHu+UTeHfbqtFiCA0PHwUofx 2TPcgQcKSJ9zpNTl0G4XQogHhW/olaJYGibYh4tuGPZeHjaqgWN0fuyYhoXn1YjKg/PpeCKDR7YI opAxrCfRh5A4+WSNUk5JzI9FGgkekaBQqQKUEiXZVY5MelYGQ8ulIKZpHr4UJIIN6kOblR8BuVCG +W0n3xYjZnhUn+b0Z2CAgCopKHOENiinjJCBmeigjW6IaKSKTqWaSXVaSoOQwZ3DG6edVkqeqENy ZqapbFLKnKpU7ameq4e0KSiXXcpaFKun4kqWfj7yOhOpowL7z6K3EsuXsaX/IstXlsw2C1pPsNIq n4UiHurrs9HaCqCcmLGoLUSBMfpTucqG+6i3muF3EbXu9QiZt2u6mx68uWVaFb3meSqcmpt6o05T z6yjToG/AuxKf7Tq+wU2kLJJ8DEMM7xFwLpWWU7BF8eascTOIjzNxBGHvHGYI79DWqrOBPxxNiyH uRzFMh9gi8IHYYtqy9ylk/C5iuHMZzJKjYOyeoAqjHTSSi/NdNNKv5yruoEqMTPR9DwJdNVU09wM zFILe7DQVnty6Y1D80wOulynrTbaRbc9tiZwS/M23FCrfTe6eYe7t7Z9D7qwtLBGHbclxAAdNU1r 5hrN350iPpODgQPkuKJfgRs96eJpUd61Npd7rWm38axdN0GQFyu15jeTfnUyp6+O7+deFy7JL6rf 7OjghLvd+tyVE/s7sMHPTXzxxh+PfPLKL898886fyK1Prxffb+IUJ1q9hmJZV/3tc2ffb6bdjvj8 YzZjGPvzGCKoKagXeg83+NurmL76omf2EELWkE9GAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0018_image038.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAACC9VZXWhURxj9ZneTzVp/kjQN/RGJoqbaHzS0UuhTUhIprBii9OehEiktBEWLLQX7 IKGV9qHgi7AgBVtTQ30sfQgE8hIhYiC4rC5IC7X0rdD32tXVeObeMzdzJ7Pr3W2F7Fy+nJ35Zs7M mflmd+5Eich7sM2wXtg5JfIlzKSul0R+3i3SN3xgRETJ+PMiI/C3STz1pcGTErmFzxdhI7oM1g07 cGj/mHS89baSnLSLJs/JVvztgG2DrYctI/nK1gE7rX5MnR2ss0Fk0sexBfas1W4K3X6vmm/Xzbp6 9C9wTF/AtsN2cv7MtFnTF/Wny/bZ7dQKzynm6/krTvuKxP1Fx190/Jcd/2XHf9rxn3b8Bx3/Qce/ 3dXnzpOl74yK69P+l+voLzn+kuPvV3F/v8N/xvGb/s3aZBELSeMiQ7uI9t81yfG5hHvja47rv3B8 hfa7VDzO+lknJSuxONm3UkeXj8HycGLbyl/gFyvNpaKP2waxuhNyVI432UYa0DRMTTrtbnJeDMcd FcaBTpupWaz50IO35+NFa/7EKq+VVJRWePS8jLC/jWK+94ZGTRuzLhlrDGKNI2ONQ/dtvlcaGftz Zm6cOnYf78D2wKZgedgVCddWf6dPo+QKdvc0SqYCzEf7aFrCfe9bF0mwRvbYHhfH7pjdOe4hZzjH w6P+eVd4hkaN3hvUW7b0llBShqoSSm4EmI9977SW3hSeuN7z1Hsh0nse+QLwAvyFIG/rLbSU3nRQ 39Y7Q71zkd4Z5GeBc/DPBnlb72xL6c3g2T9m9OozwCX2/xP1VlGyjF/3KkoqAV6K9FYl/N1vHb1t eOJ6Z9i/Wd8qSpaxilWUVAKcieltrfVtxxPXe439L0V6ryG/CFyCfzHI23oXW0pvFk9cb4n93470 lpAvA2/DXw7ytt5yS+ntCOoYvfoMelXCs8516u1XV5FfAF6HfyHI2+fchZbSm8MT17tEvTcjvUvI F4E34S8GeVtvcY3qfRJjqvc+0Cy3Se7771rnXmb6Ebw/KKsOXjvsd/Faa3aY9j6sFxU/Ag4oc4a+ NajN+HRZXvxJH973hGMP+MYlfMf4W0LOrMNpfOk6nIcDzldlgLxZD/88+X+X1fzzCflfq8NfIP8v Hv5CQv59dfiPkf8bD/+xhPxvePjNmg6S/wNZvaaD8vg13esZcy85Bzxj7k0w5r2eNW12T/zfe6zW vmpkL30GexMVJ4HvOnFvfI3upXm2+9PDaXxJYuV18cfKVhVyvKJW8xtfo7Fygu3OeTiNL0msuGNe a7Giz1ZHVPi7/W0DsfIJ7FfYx6i4RYX3yfYcGV97nTnSd9Jj2I0fBvdIx6WLc2QsS1trc/YMbAI2 BPtDas+ZuUvT5eYu7Ww6tOgurTN+l/YPi+8S/yVWiPeI94lV4gPiQ2J0cacIxBQxTcwQ24jtxCyx g5gjriM+RVxP3EDcSNxE7CR2EbuJTxN7lNRMvvs3XV3H31kJz6K/SfhbcEfi8Wd8+mxaK/7GRe/9 U0EETsinsJNyQsJzqW5nx6HBTTR7P9h3c08yVu17Q18/GeuzHpfdT466DK/pN8n/Yew6+uzfQ38n Pz8CTWNSlWAaAAA= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0018_image039.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhxADMAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALBEAAACr ALoAgQAAAAAAAP8AAP///wL/hI84y+0Po0y02ouz3rx7CYYi45XmiabdyLakCsfynLi2SOf6rt1+ xAsKd79iY4hMpoxMpfPZYxah1OpBOrVqndjf9ovs+sBknvhWTtPONrUbxna956d4i45f2Uf5fmbP 5ydIAYgzeGhQGIKIqAjCeOg4ASkoCUTpZwmBmanpwNnn+QmKJ3pESmf6gvqmusA65zoA2+pK6yZ7 q5arW8bbC/YLvCU8bFVsTIWc/LTMrOT8HGYrzRlQXX2NDRqgjeG9DdkNbkEePjhuTqEeJHAuc92t wY4h4F5if/8OI1+RTn8hHz57+2L0+3ZCnweFBVEcvACw4ZuH5STqimiREcaM/4c2chTk8WOfkCLx kCw55yRKNypXpmnpkgzMmF9m0lyXTojNmwf+0RuHE+NOngA2ynt4NOJQnkbjgUuaYelNn+WcJgDq LydRFVSzFn1qFeFWJFB7hoU4litWr1DLok17omtWbf3WvoVb4qlOvCb0BpFKU+4OwIHtDuZrEjEH p1p5EEbJ2HCOxy7POn7CEFtSyj2dCDxnlbMB0RQ+hwu91/M+oBQRSJa8TrGHoxAtu60om8bt1rhz oxXs2jbsq30IWvva+Krwr3N5qzGdbLdlf34yU6Jbm3lbpb7n0f1Z97vQ7lFdpyZfNbkO0iLVr0f/ Ld4Q9hxZk6aPwLoG/YjkF/89jwR0Gwgozn8GXqYEgRko2N8/AAaYECvuTQYfGPhZdOGBuvBXRYYZ QsFghw6mV1V5xZlgXBnAmcWcctzlEeItt/3nXGcnovhSjSxSNF1svcToxIjZITWaOkLeAqQS3igl 3IQ2whihTE+WKJ2JeCRpkk/gfReclXSkeJ2WD1ZIxYdk+nhmh2laYeaao7lZJpxQtOkmnWvamSae Z+oJWWvDmSfnBlXqqGGgQxr5oqHxtahcc3y21yOhhSqKE6NFCkrpotstlml8XB5J3TPUzClqNH+V OmqQqKoSJzOyzEKqq6YimMyrrdY662GypqrkqqbcaoytseLKaxKPJiGsQZLuHjtNsXH1SNyurCpr aajETssPtFpuy2233n4LbrjpJKtWtWga+4Q35KYw47lkpXtFroJCC2ivqiYi77zMTvkuvs7mtm53 Afs2MMD5plWwbAkrtjBiDfP1sG6Ssuvnn9nG++9g9F7M430HRQzPxuUi5fHHB3PMmXQT98UoyNSu nJdtlzqm7skjp6ytaCZnvJ7IFGsXms4189xzyTNbfLG/2KLn8lhNb/V0p1JPTXXVVl+NddZab70F qLP5XCeXz5qraHhmhbek2TCTaXaLOdEGNNmGCrmti0FT7RbJXW46ddto38231Af9XWTagbtRAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0018_image040.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAACC9VaXUhcRxQ+s64/G2o1ViTN9seIqWlKixqbJm+xwRTR2MRum1LyYGgtiEGLxWJS Cgv2h76mCIUmdVHSlIIlpRWEFEJAMCRdMVgESQj0ISUUSl+aYmvJ9pu7M+vcc+fqvSah7shh7sw3 8905c+acmZ2rIKLXIZWQKsgtQZSE6FTTRHR+J1F1y8EDRIL+3U50G3gRuVN1AXgiRPN4/hKCxrQD shVy8JWXOqlkf2uEYhQFh8jlRNsgJfI9kIcgGSRb3Sbk5cb7dJvtqk0phm3jeAKyxej3D146Ktbf 73FV/xHkKmQn6iruga9CtZVzEVc6tkJqIU9BHlMYGTkZesu63Ua/GrHC06zKGj9swZfIjS+RG08z PM3wcYaPM/wEw08wvIPhHQyvZXgtmydTv0Xh1q9V2cecn60GPsjwQYaPMXyM4bMMn2X4MsOXGV4n 3Lgsm3iC4QmGJxmeZPgEwycYvsjwRYXrtVUMyqDrOqrkL/T/Yp0cLZBqyE01rnvlkPOpfQihyUna hzK0wi+xHbTiT2Z9neIVRt9ktdv/OiHteEAIpNsYExnpx0jusaaZBqiHjtFxcqehR2ijpMr/46Ui l1bmVc6l3EOk7R4mvYe8eMhpT/5x04wng6oseaRiJTmelkN2buHYPM76m/4/Eoov4ugRZ/3NeDEV iq/A8bE462/Gl/FQfFEqJHe8MuO59J9w4yt0zgVx1t+MXzOh+Iqk77vi4Qy54918KL5ip02c9Tfj 43QovhKcZNzxdprc8TTtw6fjkrSnTAW0krQPSEzHpQirt41HxyjTH34ntz+Esaew+INpz7HQfF5/ MPnC+oMI4A/Dofi8/jBMbn8Ix+f1B5MvEZrP6w8mXzI0n9cfTD65nsPET2HxBzN+LobkI5X0Hqy3 Ur3B+u3ffudmc88XRh+5hh5Vz7JNBXl9jp8LXoPUK13aIO2UPZ/K9dOKmnZo2oqaA07e5tmjbGcb CnDOMcfpd+bxGzPfW4PuiYLKu7S+A0rfIUPfQdQMQatB1Aw4eZtnD80ffSMu+45CTkHOQj5X+o6h 5ix28jHUjDr5Kc8enz/6FuBvU0zrK3/TTkKuQS4ofWdRcw2RdRY1V5180hNz80ffKP46cvaVv3dT kLuQr5S+y6i5i5PQMmqWnDzlOSPlj76F+OvJ6VsrsvaVv6+0fevEJMpTyC8An3LK/AyXP/oW4a8s p+9hdSY7gvyK0jchplGeQX4F+IxT5mfM/NG32DkTaH0/AOkc8mHkC0rfpJhDeR75AvB5p8zPwPmj bwn+Mhmt7zcgvYT8vLKb1HdCXEJ5GvkM8GmnzM/o+aNvzDlTaX0X1Dq+oews9V3EOr4h0sjngKed snnHk96g+j6oMfndHa2XWyd+d7zRuTMqLYM3JYw2mYzr/sTPZgkl8pxciYZNyOuFPk/PN0vRmKxr J3uSB/l6vLVU8XVRdi38RlnOIsapsYJVOBMO53PUmJ0TJwZy/ouK/zp5+S8G5G9S47bxjyj+7yz8 IwH5d6/C36v4P7Hw9wbk32Ph1zbdp/iPktem+2htmzZYbFqlOBstY64KMOYGx6buMa/XJ+63j/n5 VRhf2g/Zi4YvI3+VrXuNhZl3Kf2q3/sWzv6AnI3U12dynlb9vrZwng7IuYuN87Lq97OF83JAzibq do3zju4nvJx3AnI+Tz1vm5zbRLbfsxZOja3FKe88TM4O1e8NC2dHQM4XqPeIyXlS9fvYwnkyIOce GnBxnlP9vrdwngvIuZfe69ac8tvyT6rfLQunxiJrcDYgmpXSxowHf0COgmcX5NMQ8eAtyJ8yV2st yeZGY9FV5kbydNIx6sOOsFnNT9kDmid+Zy2MNrY7a8Hqg3xLe4bc39efFu7v6+vVRfPx7/X3i0/P TSGbG/POsZDcd462b1ifQW6yPub86LvUb1k7fge61n2mecd1hrJnJHmv8Yt6Zwo143hDCjVnnPy6 7/mxSj1vMfRIsfHpNf8h5AfIr5Anpd+zNa8x+ZvHb813kYwJA9RNb1IPvQvpx/rPvjeWtZ3rTCjz MiV6rET5s6b0WrJ9I5KYtru0m9+aIuH/O81cUxL0s6fJoe35DmXtGQP2N/LNFntKTH4H8bOn3CM6 HWvKb+PHc3HMtGPxBredTrY9xRYPzfdEjWc5r+Z7Ymr+Na9+b5D/jTLbyDsF/XG/XD3/Bw2pjXb8 JQAA ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0018_image041.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhsADDAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAACACl AKgAgQAAAAAAAP8AAP///wL/nI+pe+APo5y02ouz3pr5n3DiSJbmCabeybbum6lyCNf2Pc76gPf+ /9jNgMSiSygzKpccpIoJjU6cKalVSgVdt8vshwsmelfhMm7MMKtr6MX63Wor4PSSnFbPd+4Nvf/C 1/c3KBFoQIgIYciTmLjY6GgIifg4aTkScKlpkrnpOdEpEfpJCjAKcVqqGZDqIKDxqup3yipge4ub eyv7wur7C8yKSRGLUcx70gqjrDxxjDz8w7zxDM3R3EuBLVFtjbEtzdHtbQHuYw4xTi56hf6gvv7g 3jPvGl++VQ8Av65/48/Pmr9/JAJCG2hjoEFZCBOWWKiqYQ2EED9JnGii4qaL/xgf3jMFhJYwUCc0 WuKIb1SmaRn7EVmJCiTJkuRQpoyQKlhLgUVgypPJjoVJRDZv/mRJE1nRm518BhXKa+mFpj+1uRg6 iw5KrBmCef0KNqxOrS+4Tv24waZZq2g1qCXYtmuNtTjjup27zO5dGHSr6j07l67UiIEF/5UbmMVg wje4Ls6KE6kNrI/zOAUpeXK0tpexVa6orK+eziNR/fIBsdUuniqB1gViMLQtb51dxyQSMNXsV7OV YnZw+TZufOm6iYZDFXiFyhHGnYLX+y/z5jP3GTw+aTp14RWjc4ZSrJN3ana1bwdpdrxL8Liu7ruH Tqz8YKvLqvf9rTH29jUR//+pH1V+jdznCTjm9UDgJdsc+EOCLTiYVnWvseUJf/YBOIxIFEpYIYSw xAIihnJpyKFwpeTyED8iLmdbaRM+Jcp8Ms444wgeFicOila1JtJpL8JohkIQ3lhBgqS56JeJJYYh EYYr2shibUsuiNyFRLqQnHIlGiiCL/4lCZh9ZCm5IWLMFYUdXGCWKeBpKvk0UlNyIslgPmSyCVic MsEkp3JUZallf2viaR0owswZaJZw7vnjQYOWqUt9oQA6aVWLAmqbo5kS50x1f/q556e/tRgPpmHu BdSboWqpJ6ku1VNnhK92WWU/+sSKKm0k4PolT5upwWs2prH4a5DZuRbco6f/GgtJspnlymwjzhK6 bBnBthAckqb4KGta2kZZLCHZEkvrNYGedeuxcDbjD6ygyrOSnukeG+qzvYJl6aWjJiugoOV6Gy+l opq73r93SbnvptXiZ/CICfP5LsH+SrwXadsO3K2u4TJZ6q61TpxxtBo3bG3Hu9KIcsrcgnzYINe2 zAnMHwNJ7sJLUtsoznfqrCxJ9t5MM8897xw00EUf7bPQCiNNNNNDP32uzU7H1KPKVl+NddZa4xvh z1MvnbPS8UHLqdRJG9102lBHXXPZbr+tdMRhfz022WLbfTfFc+8dEt50h9y2zIIPTnjhhh+OeOKK L854446ruZw5XvYaeVcGrH4bWd2cosRl55b7TfXn6DpMHL9dam42vJTHLTnYR5WDccyr0y055qa1 Pjs7VI6qmOj9gpuf56m//o3trLoO+trIrwx3XVySnvvxHF0O/fC8A9+87tXPZDrJMVKfPHCoB06+ of2+/Hj66q/Pfvvuvw9//PLPT3/99t+P1uTZ45+n9fwHFTDxHQp5/7sNxBilvwIWb1LJCaACSbeo 36BPZvpCIAEf+KdWHdAPBQAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0020.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Precision at recall=3D0.1
Precision at 10 docs
Average Precision
Breakeven Point
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0
0.2
0.4
0.6
0.8
1
Recall
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0020.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0020_image042.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODdhCAAIAHcBACH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACwAAAAACAAIAID///8A AAACDkwAhpfs39ZRMcl1I1UFADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0020_image043.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhdgErAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAABy ASoBgQAAAAAAAP8zAP///wL/DI6py+0Po5y02ouz3rz7fwUGSJbmiabqyraV6MbyTNf23cL4zvf+ D/TogsSi8YhUDZPMpvPZXEKn1Kp1Jb1qt9yuI+sNi8fREfmMTvfA6rb7TWLD5/Q6RG7P6+f4vf8/ 1gc4SFglWIiYeHSo2Oi4w/goOZljRnmJGROZydkZYukZKpqxOWpqWnqq2pm66krZ+irbGDtrS1h7 q7uXu+tL1/sr3BY8bExWfKzclbzsbNX8LP0UPW2NBAN6vR0mUs0NjuOtHV4ONU5url72ve7Okv4u P09fb3+Pn6+/fzUgIDDAH0CBAf8VHGiQoMJ/ARYifHgwokOJCStCnIjRIsWL/xozcvy4MeRCfh06 mgQ5McBJkSs9skTZMibMmS9rOiTJgaZLjCptyvSp8+dOoUSDgsS5AahSfw2HGl1aFOpTp1IlItVA NStDrVOjcq36NazJqxm8/lTZNS1Ys2rFGiWLoW3Lnm7Xyr1rNy/cC3kzNmXbF3DdwYL3WiD8saHg xXgRBw5quALjkGgfW3aMebLAyBQad6SrObTn0ZY5T7hc8S/pzKtFgzUtgfVBxa1ro7Y9FHYE1wQr y/7NO/hM3RBwg8Yt/LbyicQfLBeg+jny6cubOwAOHbv07dr9WW+Q3Hfy7uOFf2dgnDp59a7PL3ge fT338o3dK8BOez77/WvtJ/8IT59+AiLmHwLpDRigfHUVeAB8CPKnoFcMAoBfhBAmaNaEAF7I4YMv abjccR5aOKJGEzpIYooY6nSicPmp2CGMBWlom3gxrljiQyD+JqKMPuJ4InDx4fhjjC3W9iKRSt6I EI3K2ZhjlBbuyFuPS0oJJIMoXlnkiEfeliSTWLLnpGxQdommeQwemKaY8gUZ3JBucpngl6yFOWae wJXp2pl0zjkdlatZCaie7WkppKGFdmenaHi2qWhgfJLm56J/3iboZYRGCumCiMbJ6aWMaulip6KW N6lllYZqaVqZYrapqa1WBWdrcrKKa1aNjvboqbMSlqpjq8qaq0yvaharr8X/PlUrarcSC61Quz7W 66/KihXsZMNey62ra4Zobbh6fWrrsubqSiqS0YqL7Zo1dnsuW8c2liy78LrUbGbP3ssvi+mCuW68 kLn7ZL8CAzVvX/UeHHC+oe1rb8RW/XtnwBYTlS1e20p8sQAJD7Zwx+Y67BnEDBs8wLSIVXuyvRnn tXHLrH4sWMgo3wwQyYGZLLLFKjPGcs83v1xXzEKHS3NbNnNssM6E8YzzuT/fFXTUFxMNmNFW95s0 WEvLDKnTi0HNNLtT21V12cVirZbWasvadVhfHx2p2HKRDfa1Z7uVdt6Wsl2V236PGbdXc289q91r 4U13p3uz1Xfj3AL+leCS/wNa+FSHv62s4mIxjjinj6cVeeimUh6V5ab7mvlSmw8uI1nxXJfo5QzL zlepq3OOuwUbwo4zXLOjBy7wEgt/WO27Gw/zqWlsUuHytsOK+fOSvct59luKqcbwCrApffhUo9m9 9whsz/z0qTvfPQXRa68+vdVbP8Hv8adPFOi2uWE+AODDLz60kY8Yp1EeAA/YvDnx7zS6Q+D95Da/ 9u0Ge/hzYP7y9Abz/a+CHHRI6XCTwdgYsIMBdInqWgMH772PhBZEyetYk8IJFqyFLGSJ/pQTw+IU 74ElLMoHq5ND2oGKhzSkyglRwwcIrJCINVTIC0WTxAfYr4dFjMkNZQMMKf/ukIpNtMgPf5NFIZaL iWRcyREzE8YGLJGLZbzIE0dTh3hMsYp0pMgVDxVF4vGojm3cyBd5E0cxOquLfDTIGUNjh3SssZB8 fONjEgkeCvZxktnpEiT1WCVGEvKPq8kDOdBHyToe0jOeZMAiCZk+RxIokQawxBxRycM7ksaT3vjP FjXZRk5ehpW1PN8IQ8nBUUqKl5Y4JTAfqErG6EEKrzxmD2VZmmV+75awpKIuMVMIULJxmxARJrAI YUxudjCZdylEM8VZRmg6xpzUdGYLr6mZbP4SneL0Jj1nmYBw4rKE5KxmW74nyXuSUJ0CRaMt9+jP CsJzn3DM5zwZyjx7QtT/U+drYEKROVFRAXSGF31mR280TYS6U6EjLdJ9HvpRmUk0pVS5j0VLys+M ummjZiooPQkq0/4cNJMsFd9Ce/oWhw7RpqIkKgbz+VKjYhSoA6Jpn5S6TZwyNTc7HVROifhTmHrL l0O9agBXqlWluFRdUC1iP8OKLgMF1KsAlCpaMVZVTbHVeFktq1RO2tWphg6sdm0pUsk61+mdta/S +s9a9co0txJ2YAZq52JbVtfAGkuoY3ys7fgq2aP8FWCWld5gMysSp1Kqs21F7HxCytO3HjCypr0J ZQep2sFhtrUGGStnQdu4z9J2IKJVFWnzpljcjiWu1NutwFgbW4/gtbLC/1XbbJNros1W7Le5bS53 eiss6q4uuMb1DnGRZd2jIVe7OnqtvrobteeSN2XSdRR04afb905MrRyVr9C4a9+KoNaq6I3YeMP7 j+XCdr0iU691bTtdAHMsvgTGrrYIvDX8Qni/cu3vsv67WwGfN7/OhfD+2ssrDjOMweF1sMY8HC8J A5jCxRVxxzDMYQ0/zMIBM7BpEexeFFuMxK01cQJpzC8V05bF4AVyuGBMXhmXzMi4srF8cRxiHaOM x/b1cdGkbC8h55fI8mOyrJDcXCXvzMvwcvJvoUwtF1uNytS1ctawXCwta5fLClPwcdVcGzE/jcyz MjNo0bwyPJ+Lzbh1c//b4BwtOQuXziCz84sFDUPzzhjSBvMzUwENNEqzi9BTNXTgEB1kPuu0sSIF davAjFg9j03UkLJ0bDE9PlNzitPJ9XTlZG0qReuV0TVzNM5Q/V5V343VynL1Y2EtQFxfi9aWtfX6 fJ1lYneF10qD9oU1/UhJLxnbxDL2XJHNN27fi9mBdfZTvC1tO6ZbK9T2mrXXBWzSCntx674UusMK bsiJ+1fkZqm5lXJvZXNE19BtNwTrzaR4Z3ben0N4lAKe03yTbt+zfnc8DVtfgWOJ4J01uOEsfmSK u4XhZuE4yAGu8a9IXCoKd7gTTz6Yfxsx5acyeU89rjmYd6vlqiV5V2ymLnIz0pxZIE7z0KXUb7TK /CxH/xHQCYtz1+n81EHfaoNQWnUPQTyhK+cKz5uekKT3dek02XrWmeLymEQ9K2Kfuh/PXhSfQ+Xp bk8J2GnSdR/C3U1tvyjZa2J2mtO9o2sXSt/3/nW2yl0rg9/7AAIP0bwbJfEuP7xS/27Cu5eo8VAt vE4sX/etaF652h6z42UEeVRKHiiUPz3oYYl5oYd+TpzPKAAKAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0020_image044.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhcwEJAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABv AQYBgAAAAAAAAAL/hI+py+0Po5zUhYqz3rz7D4biSJbKZabqyrbuC8doTNf2jef6Mu/+DwwKhb2h 8YhMKivFpfMpCjSh1Ma0is0+rlottwvOfsPUMfmMlKLJ5rXb136n5fS63Ra/6035PbDvF8ihJvgE WIg4cZh4s8j4eAK55Cj5SFh5RIm5yfmj2an3CboiOipXalqCmoq2yhr1inkZ60kL6Wr7gZtryPvn CxwcsiscNFvcSIy8o7zM5PzWDK04fXZcTSON3aK9veUNLtwdPjJOzmB+3nGtzt2elP6OEC9PQV8P cI9voS/fvw+QWcCBhf4NNFgP4T52BFUoTNgwW0QXDCfyeWgx4zCN/xzZdCyHEWBIbyMXfgRR8SSJ ktNYilQ5COYLlzJrzrNpDydFnRBS8kT500JQFjR5+RyqC+lNpQ6ZOnWntKhFqayoRrQ66uhTD1g7 db36U+tWrl/HQjSLFqhNsWnXrW0LFSZbuDHl0t2psmxHvXfB8Q3Vd+bev3sLBxacce5hrokXwyDs eBlka5FlgK08c3IXxZjdHuxsWaTmt6AXjy5N67QTzqgZ+2st8R1r2J7VqQ7b7jZP3bS9nuON2y/w 3eGGB8c2uzcs5Mp1GG9uqdpzpNMRQ0+WfFP267qkbL/FnZl3cdWjfg8/8XxB9L+AlWdv5z38U/Ln u6lvfw3+/Pz7g//0TxyAOKknoG0FDnhgggrKsmBe+zU4CYQfEShhSxVeiKF+GTa24VUPdtgeiAR9 KCIcJZ6IoickpogHi/hQ6OIrK8YYGo023lgOjr/NqGNTPQr3o19BDklkkWcZ6QyMSCbC45JkOQll lFJW1eSUGFRppT1YZinBllxG4OWXYlo4ZixKlnkfmjKGqeZSbb4JZ5zOyekVm3Da+eaZdO65FZ55 8qkdoJXoKWgvhYJ3aKKl+akmoYrO8WhBjKI5aaSWXjpUpWM6immIncan6aeijppeqF+ayiWnpOKA aqqrvpoprNG0aiWtU6oqa4257srribZKiWuvRAkbRrDEHpvKr8COIrsZs2IoCyW00TpLbULSLnkt ttWWka2R3W4LbribfUskueWKO4m56G6rbpDt9mjsuhq8C6+88NiLbzDx5ksNv0T4awy9OAoMcMEG o0SwjQkrfLB4DT8M8VQRJzNxixVns/DFGj+8r8YZu9jxxR+DvHHJdYycYsgVo4yiyhOzbHLM68Jc ossR0yyizREXAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0020_image045.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhyAFLAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALEcADwBw AQQBgQAAAAAAAP8AAAECAwL/hI+py+0P4xGy2ouz3rz7D1oCFZbmNJ5qmK7uC8dPEIz2jef6zvf+ DwwKh8SiUIZMKk+kpTPRfD5b0qr1Cghgt9xXtAsOf7TisrnyPavXCjL7rU7D52I3/b6V4/dVO/+v pAc4GONHeKgiiLgYYsj4yKEIOYnhSHkZIYm52WDJ+YmgCTrqOfopaspZmoqJynq5+jrpKgsZW8tI i7t4u3uo60vYGwwITPw3fLxnrIyX3EzHDD33PP0mbc1WnR3HPbntXYYdXgZODjZ+Dmauntd+yP5u lS4vRXNPUz9Hr2/fH/1vT7yASfgRTDLwYAyDCgs17PZQW0QzDCeqSGjRRMWM/yUwcgSx8eMYkVxC kuTg8eQGkyozpGyJgSVMCy9norF5pSZOCDJn4NS500HPTjuBBmUwlIFRb0uPQvH30ymSpAuaZrMq FQDVNkWzLoRqE6vUrQjETjN7lOwBtM3Y7lRrwO0xuTbhZglKd6bdvL74ttwbFl8+r4mc+N11+CTc xLUYi1x81PFHyHgJezEc2bILyl01F1Yi+VXojGpHpzI9sbRT1BFVZ/bMZAlrULMbuq4MWyNoqbUV ku2tKrduhLyFl/hd3DjI3auVLyfe3LmHrcCDS+9APWv1gNmTX18JPfp3Dd3Fj48Z/vV59DK2b3Lf jyp8W4IHr8+EZD4l/fLke//l/45/2t3HnkMDEihCe4QB2E5SDD7y4DkOLohgggYeWCFPVLgQIS8Z ZjLhfx/iB0OHHo74wFAmIrIiNzLdY1mL2byIj4goCvVCjTbeiFSJ9nnHowI9/QhkkKGUqJmM1til npFHOkkUlE9KyRWVBjCJm5VYdqallVV2acqGpNQnpRFmnonmD415KSYnbZqi5DRbToGYl6/MiUWc dqZY555h9uknKHjmFOgog1qhZ6FCAqpoK4w2SsmhfUC6iaRgUTrLo5jmoummiFj6RKKYgoqZp5CQ Kpupp3aqajGstsoHqszB+surtN4ha3q3/pFrfrsS0quCv7qKi6iUvqlKfcb/+nnDmsPyGiySz8Zq 67QQOWstrtVmK8623IYRrbTfwhFujuPu4+257hSr7jXptjvPu/BKUe5xZc0bR70f2LAWvhSlCXDA Z/brb7epRLFswQIp7FnCDNPh8MNwRCyxRBVjeHGTGXO58UzKUtwxFyCHvA7JHJvc0sgo57myxy3D pPLLl8r8Ucw0p3qzSDbn7CvPHO3ss7hBRwT00CsUbfQJSCfdEdMPLe30SFEfBPXUKFlNUNVYu7R1 Pcp2LY/WYFcg9tgRlG22T2m3g/baSrmtTttwJyD33ATbzU3deOttN99z+w034G4LvjbhaRtuNuJj Kw424107vjXkWEtuNeVT0Vue9Md4n7V53p1f9bk1mDs9OtOlZx4656m3tTrrrc/1OuyxB3O60bUP fXvQufu8O8+95/z7zcHTPLzMxb98fMvJk6z57LIsjzL0JkvPvPN9WS8v9rZojy33p3kvGvisUB8y +R2bvzH6Gat/MfsVuy8x/A/LzzD9CttfcIQP6j8I/3cj0z9hBHCAcREgIPwHwACSgUjOIGACH5jA j0lwghSsoAUviMEManCDHOygBz8IwhCKcIQkzOC9HLgwFDbQgQjkQwtTeMATxnCGNHShAAsAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0019.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Single-Valued Measures
&#= 8226;Expected search length
&= #8211;Average rank of the first relevant document
&#= 8226;Mean precision at a fixed number of documents
&= #8211;Precision at 10 docs is often used for Web search
&#= 8226;Mean precision at a fixed recall level
&= #8211;Adjusts for the total number of relevant docs
&#= 8226;Mean breakeven point
&= #8211;Value at which precision =3D recall
&#= 8226;Mean Average Precision (MAP)
&#= 8211;Interpolated: Avg precision at recall=3D0.0, 0.1, …, 1.0
&= #8211;Uninterpolated: Avg precision at each relevant doc
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0105.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Uninterpolated MAP
R
R
1/3=3D0.33
2/7=3D0.29
AP=3D0.31
R
R
R
R
1/1=3D1.00
2/2=3D1.00
3/5=3D0.60
4/9=3D0.44
AP=3D0.76
R
R
R
1/2=3D0.50
3/5=3D0.60
4/8=3D0.50
AP=3D0.53
MAP=3D0.53
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0105.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0105_image046.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhygErAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEABADG AQsBgAAAAAAAAAL/hI+pEO0PY1i02ouz3rwrCYLeSJbmeYbqg7buO43xS9e2OXv5zfc+tuMEf8TW MHMsKpfCUpIJjWqeF6r0irBStNiuj7sAe8dEccJMLpPQ6bbM6Y5D2Qa6nEa33/cfOP9vY6cH6KdD eNghiLhYaMhYlPcoGdY4aUm5dtkTqTmp2AlaVxmKwkmK+Hl6maqaktlKyArLKDvreGt7V5sLuMuL 9Pob5yssR1y8FYxMdrzMPOqc/BY91kyNZU1ten2VzT0H/S06LR7lXQ4ZLr6NrnTe/qX+zQ7/815/ c19Mj8+j3w9DHjd+AGv8K1hK4LUVKxB+YajC4RyIIQBSFCEx38UI/xmZbORoUVlHFwdHJlKoTaRJ VypXGkQZjaBLXCdn+oPpTKbNDSV3WuhpS6dPIDiHTimKTKjRCkCXZkG6r6XTKlCnYiJXT6nVp1K3 8qz6S6tXBmDHku06D63ZcVjXflW7EK7ZplbpthLr1a5TvafwbuVrFHAov3XLjhUMivBUxDsZa1K8 13BeybMgL3U8E7Mly4EpF5YbE/Rk0W4PaPZE+nPb0kRTR13Nmi3N2D893/3IgvYZ3A50T+HdoCDn oadNFn803OfxjssXJW9sO7JrYc9tNpd4/VD1zNEvdye13WV2hON7Tfd+fu73wemJr1f+vlP4leVD tg96H3p+1bPRzf83Hp91Aa6yH3cFSgdbOf+NVF8/De6xIHMDijchagmy9mBWFUoSYUYZwvPhMAfS tyGDJdIyIoApurdiYi16eCKMLz42o0Mh+hcjKjWSl6ONPcYC3CCNBekbEkRadGSRDAQpZF1M2tdf bDcq+KN5F5Y25TpV/tEhdls6+CWEOwoXpoZjcngmmGlKuKZzbYJYJpxvajcnjnWSeSeXeaa1Jz5Z PnOlW38OFKeIga41aFx96rJoSo22k2gXXfr4qJ2HOholhoVamimfnQq6KZWVtjEpj6NqeSqgnyIa KqqXhvbqaLFK2aqqNSkZKayzJpUqdbUS2qsXpeK5K5a/CptkkUz/NrnYkw4m69uySv7krJ/B8pJr TsdKem0u2S7zrTnd4jcuuNtiUy4s4b5WrK/toveueumCEy+L9cq6Kqa3KnuutvN69G9f/ZobsDsF s3cwufdWlrB8A/PacDwLCxjxXQ/Tm+9hF7s7scUdU1ixKusC/DGJIQt8ciApI7dxWC0bXLKKMdub sb81//WytzmrMTObPev3M41BUzo0yEVbeDN/+057xs72QKubtEyHUW1WUNNW9dRZZA3pyih67TDY JIlNJ9mbOS1x0ouh7fHRaLqtJtw+q83x0lGzLTLe+Zhtpdwy+q0j4F3z/bbgsRDOx8guI34es0bT zSrj7zpusuHE/0KOreTG6A0e5y9Z7irmGmtu91HTKp456U2A7qno+JYuqutAy6706tayDizuZuq+ Oe+60r626m8B/zjsTKOeju82Ew8v850rTzD0oRvfuu38Cq8n9kYCd/zVWnM9uPMmai8m+VRJz674 8JlfG/p1U4+r53iwjy79biDPs/p/60+x+8LaLwX8MQyAffBf6gz4O/gpin9EY2DxrCcnB15OgdGS X0AQqDAJykyDLMPgAD0IMRBijIKjE+H7IBg+Er4Ohd+z4NhMiDIYHpCDX6Ph7mzoJQI2TYYI42EG VRg9INZueFozjQuNoEOS+fCDOCxbEzklRGMl0YhLFFoV2/bEvv9FEUFZhFIXE+c9DIWxe9zzIgtp NUVupfEsX8xdG2+4xcW9UV9xlNcVb3JHpM0xhXXUWR4Lt0connF6RKzgGrtxxIT8sYOLdNEah2XG QZ4ukSwJZBD7uMJC8lGTWKMkIDHJREmC6pAB9CRYKLdBUA7RdLezZAhdWT1RLlCVBmpk2Gz5Qlie kJNTE2DaaPlAXh7PlI0bJinF9chjboKYbkomLp2oy1kCM4bTTKUsDflMRUZzhtWkWTcTM0ZBga+X 41xHOBFVztOl043XLOE2E9jO5cUTZ8pU4jsRmU0tfnN2+7RiPxv4z2CyEo7ClGI+PznPVyY0eAdl 5D1L2dDyRbT/mROFHCrHV1FoBlSPC+XiRq1ZUHaGNHIZPZwzH6ouZgaupCOVRvzquQRfLpOlaZBp 3k760bihNH05rWFPCdrSu+G0o837aQ5pCgykVkOlGiUqN4OayYEWkY07tadTvXnVqCa1lUbdJFTR qNQqnHMu61RWWbUx1sOcNWprledXV7nVqVK1qyatKjXpOsGshvKtDLXrU/m6y7hi069+DGv7COtI wxpKsS7FKyEBS1LE2gOmKqNs8hh7FcfGErJ2lOwv9do/z2JRsxIlrTRB21fT9k60Z7Ns/li7N8wi U7a2Uu1ibetWzroTt6Ry7QVpu9Sh6nZ9wP2fcKUq1OKqUblz/x0uP1HrUeje1bmh5e1jkStI7IIV ts9jLiR1at3NatecZcRVW6V0Xrmqd73sba973wvf+Mp3vvQF0bLui9/85vdp+u2vf/9bkQACeMAE LrCBD4zghjwkwQxuMEjM4eAIO7i+FK6whS+M4QxreMMc7rCHPwziEIt4xCQusYlPjOIUq3jFLG6x i18M4xir+KIyrnH9ZGPjHOuRxjru8Wub6+MgM2qHQi7yaols5CQbdws8VrKTzyfWJ0v5aUJo8pST HBwZWPnKOu5NCrzM5TAzJcsGAbOYpwwBd6T5zD1+sKQkDOc4G5gWcq6znfHLZp4EGMIYyXOO1+yP 3Pj5yoL+MjqZB+1nM1d5y4iG8aGBwOhG1/jRVJO0paH8gUhfustB0PSmfZwDT38a1DgetakrfepU M1nVrEZyqwsAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0076.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Visualizing Mean Average Precision
0.0
0.2
0.4
0.6
0.8
1.0
3D"Text
Average Precision=
Topic
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0076_image047.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhBwLkAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAF AuMAggAAAAAAAICAgJmZ/8DAwP///wECAwECAwP/GLrc/jDKSau9OOvNu/9gKI5kaZ5doa5s675w LM90bd94ru987//AoHBILBqPvAByyWw6n9CodEqtWn3Kq3bL7Xq/4LA4OS6bz+i0es3Nst/wuHxO B7vr+Lx+z++r7n6BgoOEhU2AhomKi4yLiI2QkZKTaY+Ul5iZmkyWm56foKEwnaKlpqeQpKirrK15 qq6xsrNjsLS3uLlQtrq9vr89vMDDxMUswsbJyrjIy87PqM3Q09Sa0tXY2YzX2t3eftzf4uNy4eTn 6Gbm6eztW+vu8fJP8PP290P1+Pv8Ofr9AAO++FdIgMGDCBMqXMiwocOHECNKnEixosWLGDNq3Mix /6PHjxVpECRkkIDJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPnzENimRVEqjRo0iTKl3KtKnT pz+Fzhg5qCjUq1izat3KtatXk1JlUBVk9avZs2jTql2LNGyMsYHKsp1Lt67du1ndjiIqAK/fv4AD C3apdyDfwYgTK17ctbALuH7kMp5MubJlmo5bQO4j+bLnz6AXZz52OLTp06jvjl6xmU/n1LBjy366 +k/p2bhz644qYOiq17uDCx+esnaB1nuAE1/OXLZx5HqUN59O3fPz29Wza7d8/Xff7eDDJ+6OSrr4 8+jPkj9lPr3791fXm2oPv779o/JL0b/Pvz/O/P+i7OffgAQS1ttU2BWo4IIwARiKgAxG2J+DoEAo 4YXwUfiJhRh2eJ6GnnDo4YjagbiJiCSm2JyJmqCo4ovCsZiJizDWiJuMmNBo446p4XiJjjwGCZqP lAAp5JGVETmJQSg06eSTUEYp5ZRUVimCkpIYieSWimEZiZZchhmYl5CAKeaZqh0oVoJotvkZmY2Y 6eacaMHJiJx05tmYmm+xqeefgtm5CJ6AFuqUoIoQauiiSSGaiKKMRsqbb+V9J+mlazlqCKSYdmqT pgVZ6umoXIFKkqikphofn3t5p+qrq1LKHqqw1toWq4a5auuut8o6H628BquTqVUBK+yxNRFLlrH/ yDbbIK6P+enstC0pGxez1GZ7krWRYattttxy5u2304br2rjkNmtucuime+y60bXrbrDw5sHpvH/W i8e9+Oapbx389jvnv3QELHCbBM/BpJUMN+zwwxBHLPGV0Gom7cHCJiyHwRiLqXEcHHfM5cdwhCwy kiS/YfLJQqbMxsos8+jyGjDHbOPMatRsM4w4p6Hzzir2jMbPQJMo9BlEF+3h0WYkrTSGTJfh9NMS Rj3G1FQzaLUYWGet4NZhdO01gWCDIfbY/pX9xdlo86e2F2y3bd/bXcQtd4YVk6br3ZjSzYXdfKfn 9xaAB/5h3qxdbLieg2tR+OLgNX7F45CXiLht/3tXXqjkVlCuOXWcV+H55ytefpzipJ8ZOhWjp07c 6lO07nqMpkNnrwAT5647w+7CLoXsF+4u/PBN+h4F8LPrZjwUyCd/Y+2oO3/k8k80L31s1Dth/fU9 Qp8592Fm30RZE4D/ovhMkB/AAOy3P4AC5gftfaUoKeB++/DHb/T8s9a//v3vC4D+9ucr/YjKfgDM 3wA7hL4lqA+AAVzg0vj3K/9BUIESrBoFDWjBBAowgxdqIBIe6EEQhnCDATrg/+6HQRN+DYUPUuEF P+jCBYnwCCRkIQ1rWKAbGiGH7mshD9MGwwrJsIRD7GERN3REHSZRiQVMYQed+MQB+bAIQMTfDv+r eJ8rEiGL7BMiF/EWxRhOMYhbHCMZEZQ5BFJRjXNbYoiaiEY4dlGOJ6KjFu0YxzIa8Yx75OMa19TG FdZRkO/x4hDAGEFEukeRQlgYA2ZIvEpa8pKYzGQIIBkERorRkdvhJBA8mUZQhhKPLdJjGEtpyuyI 8gekbOXh/MhEQK5SluJ5pQ9iicvIoXJGqmxkLy1HyznaUpjDrI4ue8DLZCrzlzkK5iedOZxl8qCZ 1CxdMfN4zGlmczfW3AE2v/k6aP5Imqwkp/LMWSR0qpM54dTBON8JTnYuyZ30rKY9s4TPfAYnnjmY pz9nA1AcCHSg2Nvnl/qJ0OdtM5XdTGdDT1P/0BscdKIUVWiZGIpR2FTUBhft6JA0GieOijSjDwVm RE+a0JRGc6Us7Z5LzwnTmKKUjfQ7iRsPaVPTfLQGIe3pZH5Kg6AKVTQkvVNCJgCSpjr1qVCNqlSn StWqWnUiMxWIVrfaKq569as1sB1Yx6oNsZL1rNMwK1rXqgy1svWtw3ArXOeqC7nS9a6zsCte98oK vfL1r6XwK2AH6wnBEvawlzAsYhebCsY6FhqKfaxkBxHZyVqWD5W9rGbrkNnNehYOnf2saCsx2tL2 1bSoNUVoU8vad7T2tdaArWwpsdrZ2pYTt82tImqr294Ggbe+DS4ZhEvcVxT3uHTQpHKXy9zmBjr3 ucpNAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0076_image048.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwBRAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQAL AE8AgQAAAAAAAJmZ/wECAwJcjI8ny4LNHnRqSnhbjhV3/XHGRI1WuGwpWgak2r4sTM+26eGgLron vwLGfr5ccXfsyYQ15i0ZhA6NS2nT+qxqiVsq9+sNI7tjcFmsNKfRUfL6DH/L22o6u5VAFAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0076_image049.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwAkAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAL ACMAgQAAAAAAAJmZ/wECAwIzjI+pJ+2CnosSskplfnte/XGhZ1RWiY1Nt6pnYLJv7Mp2jaOgLvIk nPK1hLMgcHfsLQ4FADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0076_image050.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOgF5AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAA4 AXcAgQAAAAAAAJmZ/wECAwL/hI+py+0Po5y0toCzDrb7D4biSJbm2W0qyrbuC8eyiwn2LWDzzvf+ D5TUcDZd8IhMKpeTIdHIjEqn1JcTB61qt9wu43rLesfkMhJc5JjX7LY1QEy75/R6Ch4X2/f8PTqn 1ic42Panp6CyQbjIOGMYeIH3BFmVmNGI+fMIsclleZgZ2tLpQKol+SSqCmP6hRpGSfUatlrL0rqA OzVbZOtbopsQHMWbw/kZ+6s6fMC8VJwsjKz86wxgnQR9HNdLbWuNfcZt/PBH7r0KzgtKPB6NYP6O vqjOzc6kXZ4/L1qfJ//M3TZ7/JatA3jtYJd9kQQWDOVv0kKHpRj6QHbvYYWI/1gQZqPYkGAQjB41 RuAIa6LIiiAvFjtnEgRKOZ5a5rLYwxzMmB5mAlKZZ2DQkS9L8gwpUZ89oyNtIsLJQyfTo0+XCu0I NJXSlZqKUv3gM6MSqNKc7pD6tafCrUm3kIX3VgbatBbCTtVkFm5euV5PTfNrlS3Wmlxd7Y0xt9Jf xYFZ/suK5WpkouN2SgkHxC5kWoInZ+7L+DFg0Y7bnjqcEPWbynejrg1t2jDp04VvqqYBWtZr3Y2R DnaLOt6RxLxn79otO7as4HER5z7eG7px29N3Mb896vll5NujU1duvXZV8We1P/3Eijsx9WWrX75O 3pF5aehXu3/GXu99fPCHfv9mLRlnuHm3HoHtgfdefM00lx6AnQmYnYH4SbgghQEpaIBwlPWn1YD7 ZZNfhR+OxaFnXTlYWocRjjhciBm6SCKGqclon4waeojghCNi1pSNDNbon28m3gJjixbOmCN/PmJH JIpCQtgkixsm+eKRHy1JI45BJqdilFSeASOPmZUIZU7z6bclCmKaeeSaF5HZzX9wWnaCOvVpmdKD PxGW5nh9luckl0OqGeZiK37pZk5ztgbMmSL+2WibRcpUqJXiYAkpX4F+1yWhkloKVqVSDreokaUC mWeKqR7625N7Aodpp65t6qesJmiGKk2q6kpbplVmyaqtaApLAq548ioossv/xTrorKce+6qrYoVg bK/E/uprg88Gq2ytq3rZarLRVrKtS7QeeK0I1bpyp7QIJRpVuWzKW6eoiBoqrljwnkUvoP1GuqO9 4XL6LcHdJpjtjSf+W6zABXt78LAPoztxO8yW6ezFcXI7rsEdQ/wxxRE/OnB4Cf9YUbvibrwyo004 PDK2JYscssQxx3gykx7r66jMzd4Kc80kVzz0zfs6wvBJQbPsMZ1Afxow1PeC2mPOwOb7bs9Ipktt 0DxLPbPNQl9odbZ6fp20ul5nDTbRPt98Zdlc7zr21ukqDK7bdhu9doB1x303yu76zTTITgM8ddSK J/4l4D+LfbgQS0f+duFP/y8edtF1r7us3I9L3vbnlVOuduib9322y/xqTHrqhJOOt6eY6805yNNe 6jnGFPhkOeSqK2062oxnXvntpLL+O++wC65W8GzPzjfVYyLftem9a946pc77LTzxe/+Ne+A62/48 9bmevr3r6sOa+/XAQ6+778eovHP53tdOM8/43pL2+q66/73lwal7tEMd3QgouhEwKHYbmZz9EsjA /D0wevBDIPrGV5f+HXCC8cMeBwVYQQ5acIQfzJ5MNDg4PQEwgvLzH9a4J8IYvu53J0HhC1UIwvbl 8H4GTOEGZ4gYG9YPiCr8oAxdOEQkko+IVhDiEnFoRMId8YdKlCAMmUgDJ/9aEYpS7GIVxUbCK34R eyYEixbBWMIoFlGMVGyjD9+4sjL25Iyas+AKF4jH9LnxhntsmhxTQMfipdGLdNthAfUIxyQW8o8Z NF+orGfIDo5uiol8Yh8t+T9GbiSQ37NjJO84QErysZJbXCQNOcFJ5amxkKJUJCnRyMZMnrIcqXQg If/XSkyOcpeujOMsS1FLSK4Sl7HkpS57iUzDtW5/uUgbSWy5xmhespSvrGMuaQbAhFiiho6MBEaE ecuWFTOZ1DRmOf3okR/lEXmqDGfTrgnLMQpynMpMp2rWqcMMgFOaxJRnJ+FpTXpic5n3dCY02slP cfoTf/GcJuQISiN8im//KdBkpTuPidFzZrShsuSm2SQKwYNWtJ8WXWgPzclRX3qUayCVZAD1CT9Q dhOlATUpIlWKyoga1B0ILalPqzlPm4YQixco6Ezf2VOSKpWmQXVoTZ06Ooh+dKcU3edPFQrVfwo0 peR8qD11elTDwXR4E83nVp8KVK0KFaxTDSs2x8rDc7Xwql1FK1PVmlXiFJWtZe1rR0aK1aXWtalp ZSgZv9pWsxYxqYFt7GDxWtiTonOlCbwGVf8B2HdeVKOc5epG7TrZnCbWry6NB2M1m9DHGpawd9Xr F4yqWFaeVqyb9WxnQftZ1oaWlnwN6aIwMj/6nWeb+hAufYibMuR6U7nsFGLuTYwLF2YOdwXBpW5y E1FdFRQAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0076_image051.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhBwCnAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAF AKYAgAAAAAAAAAJIjA0JodusYJIuvmvzxFvXDn4iRXKjWXrpdCAqCr9yuJ6zTcf5XZNtr8MJgbwg cYccGo0HZfGZPDqjS+h0KJFqq1Tr1su9an8FADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0076_image052.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhiwECAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAACJ AQEAgAAAAAAAAAIRjI+py+0Po5y02ouz3rz7PxUAOx== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0076_image053.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGQCzAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAQAEgAP AJEAgAAAAAAAAALphBGpebffDIsUhUonbnq/lX3dRpYciImV4oxW5I6xxoZQipo6bqnSJXLthsRX b8W4nX7G5WRmnLFqsOelSEwGW70P9jukXatjKndZTZNb45PSJgTrpp5pm2sNRe8vLb9rRhYX9qdn MqhGEsS3KLcTCFd4BMlUadiUGCeGs1jWKekYKjqqmFSnhbSnl5fmh/QmCEpa9OnWeKZqybTp5OmL qRJ4g0j7CgtIiYq5ewXVx+gnZCVbQqxb90h9a3s8uyYJIg3UDJ3bexQ52O3NdrjOra1+7MXJLieb Ews9j+KMy8YqHb53AB8dKAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0076_image054.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhBwLkAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAF AuMAgQAAAAAAAP///wECAwL/jI+py+0Po5y02ouz3rz7D4bimAHmiabqyrbuC8fyTNf2jef6zvf+ DwwKh7gA8YhMKpfMpvMJjUp1xqn1is1qt9yut/gNi8fksvmMraLX7Lb7Deeq4/S6/Y7Pm+b6vv8P GJjEJ1hoeIh4SJjI2Oj4WLYIOUlZaYkkeam5ydnJkukZKjrKCEp6ippaZ6ra6vr6xQo7S1vLJGub q7ubg8v7CxyM4itcbExLfKy8TJrM/Axt6RxNXY04bZ2trYe97f3t1g0+Ti4mXo6efnWu3u6+xP4u P/8TT3+PX2Ofz9+/su8vYD+AAgvSI2gwYTuEChuSY+gw4jaIEitSo2gx4zKM/xo7CuPoMeQukCJL IjOJEh3JlCxPrWwJ09PLmDQvzayJE9LNnDwT7ewJVNDPoET7DC2K1M7RpEzfLG0KFc3TqFTHTK2K tcvVrFzTdP2qE6zYUmPLGtpqNu0QtGrb+mDrNm4vuXThwK2LF8bdvHz/9f1rDrBgrYMLZ9lrGC/i xHQXM47r+HHbyJLTUq5c9jJmsZo3f+3smSvo0FhHk6Zq+jTU1KqZsm6N9DVsorJnA61tmyfu3Dh3 86bp+zfM4MJZEi+O8jjyksqXh2zuvCP06BmnU69o/XrE7Nobcu+e8Dv4guLHByxvfmD61ujX42vv /mB80vDnv6tvf2H+zfj3q//0X1l/AI4j4IDfFGjgRAkmhuCC1jTo4EURDgbhhM9UaOFGGf6F4YbG dOjhRyHmBeKIv5Ro4kgpNraiXCi2WMuLMM4i44yv1GhjKzjmmMqOPLr0Y2ZBjuXjkKEUaWQnSCa5 yZJM2vSkaFFm5eSUk1Rp5SNYZtnIllz69OVqYTbl5ZiFlGlmIGim+ceabBr1Jm1xBuXmnHfUaecq eeq2Z0549ukUoDX9KSgbhBYqFaLDKdrSoYyS4eijgUlqUqSUemHppXJoKlKmnB72qUeehmrFqKRK YeqpUKSqqhOstnoLrBK9KusgtTpE661E5KqrELz2CsSvwL41LHnFCiTssVTjKOtPssze4Oyz+kib T7TUymDttXppKx+38mTr7Sfh3jeuO+CWOwy66pw7igDuvgtvvPLOS2+99ror5m/37stvv/Pmy5u/ Ag9cL8C5EYxwwgbblnDDAi88m8MS7wsxbBNfTG/FrWHMMbwaq9ZxyB+fFnLHI5NWMscnh5Yyxit7 1vLFL28W88QzY1azxDdXlrPDO0vWc8M/Pxa0wmQKVzTCQzOWNMFLJ9b0wE8bFvXDR+tbdb9TF5a1 1lcH3DXFXx8c9r1bD1a22WMznHbBa6sLDglyz0133XbfjXfeeu/Nd98cFAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0076_image055.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhngEGAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQCa AQQAgAAAADMzzAInjI+py+0Po5y02ouz3rz7D4biSJbmiabqyrbuC8fyTNf2jef6zsMFADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0117.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
What MAP Hides
Adapt= ed from a presentation by Ellen Voorhees at the University of Maryland, March= 29, 1999
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0117_image056.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAACC+19DXRdxXXuzNWV/2XJ15Z/MAEDroSFIE4MKXVWqSGAkSNbxiGkPGwikC3wv41t BDYmMtzkxiJ5sNJVFopSrShJk6btS9BDQfl1osTEUPTSEipQECZAapaTKtVDQAMFojf73D3iaPY5 Z2bOPRKerievWeecu8+eO3t/3x3v2WfODGeMbROlGMvxFGNFosi/nqsZW7qcsUVXrL6SMc4Gf8/Z 7WcwNokpf2lRihg7mzP2nCL6l21pVn99ERMVsGpRFokiqjuPr+DsdHFeJgov+8mAUGX1WODe9aKs xXvPXpFmM7C+M4SePF/sOz9rxeTR86UrUl69ae+q+S/SK9ioDOo+Kcqzoqz+2Mp1bMpHak5j04VN nL3y3+bI2Hz2rs0L8HxkZITNwfMSUTJ4DpCfJcoUUc5+996RoM+mIWbyT97j/w7/d68TZRcH9gi/ g9D3dz8fPb3sI2wn2842swbBkI+xG9kOtkecrRbn5n+SP4tY6q0zPaaxlezFdz71dw9m2NPfZEsv bsuwbQ9mRtu98Tav6ex21N/2xQw7Da+bRXlrMmMXLL7wA7eIz6GpX58/bc51Fzzk1XPnHd3e/b/4 X2xpWpyDN4HPl/dmvCJ+Dmy2RWERsl9dcqzpjrpjTeL7y+F38aXWDIPvbBbH006kl8Ln0pY/Qd9z 37nAunk8PpfYAn/+/RTC9n0h2M6LwPbv509LSWzf2PUuts27KLbF2LdMMywsQiaxFd9fJLGF75TY wucqtqkQTFITjL//86B+w39vWP9wBvZV8u83wogpolSI89Pz/614f9x3j6wXZJWon0aZpKG8Bz4P 6/POQ131/z+pO9lnL/Odm9jr/35/e239sBD72/1oa5At8H0f8t2X5WO5IuvYgzL1Xr/8RkV+oyK/ RJFfosgXKvKFivwNpa1vKO17WpE/rcgfVuQPK/L7Ffn9iny7It+uyFcp8lWKvFKRV7KxGPn925Ma 61+Q3xvh/y5F3qXIhxT5kCJfwsfK4dovb1DkDYq8XZG3K/J+Rd6vyDOpsfKMYn+tIq9V5DlFnlPk PYpc+rfQ32uqgN9rGsuvRSXp1Hvblj0YX/eKSu7jp0ZbHheVfM7XFtHPNp/rq1P282mlnx9Rvvtc 33dfiTozR2P4y9ZKXdv+sgvvuxLvnTJa5xVrg7+He37x/wbt9FOeDf7f6MVW+kWeP/y/4ZVW+mnv /zr/b3yNlX6xN/7z9wH1VvqTgI9j+ogdVvqTvXv8fcjDVvpT2FQ2to8BDMz1p3pxm9oHBemHxjAj Y39L/t9D0HfyEG77Obzdwgc8gMNtVvqUw9+z0qccftJKn3J4wEqfcvh1K33K4TS30accnmulTzlc aaVvzuEg/ZQBHx9jNvVRPtrpUz7a6VM+2ulTPv7GSp/ysdEKD8pHOzwpH+30KR/t9O371DTpU0es 4oWiAA5vVzj8uAWGRQEcPm6lTzl8wkqfcvgdK33K4Uu5jT7lcNZKvzAOFxXI4aICOVyURFzARqzi grRBP3yjBQfSARxutNKnHH7DSp9yuIrb6FMOX2elTzm8x0qfcrjJSr8wDqcL5HA6gX54hNn1w8UB HF6n5EDqLWwoDuCwnT7l8CYrfcphO33K4UYrfcrhnVb6lMO3WulTDh+w0i+Mw8XvQT88yaAftulH JwVw+K+s9CmHB6z0KYdftdKnHH7NSp9yeD630S8slphUYD88qUAOT0qgH+5tteuHJwdwuE3h8Nct MJwcwOGjVvqUwyNW+pTDZ3IbfcrhZVb6lMOXWulTDtdY6VMOr7LSpxxeY6VPOXytbT/ca9cPTwng 8B4llrCJ56YEcNhOn3LYTp9yeJ+VPuWwnT7l8AErfcphO/3C+uEpBfbDU5Lohy3zElMNYonDFv3g 1AAO/9hKn3L4eSt9yuG3rfQph0/nNvqUw+dY6VMOV1npUw6vttIvjMNTE4iHe0d6rfrhaQYctnlm Ni2Aw3dZ6VMO2+lTDv/USp9y2E6fcvhpK33KYTt9yuFmbqNPOWynTzncbJuXGGm16oenJ/zMbXoA h5+20i8stzY9gMPruI0+5fAtVvqUw9us9AOeG1vpUw7fbqVfWD88PYF+uNUyHp4RwOFFSjy8yMKG GQEcttOnHN5ppU85vMdKn3LYTp9y+A4rfcphO/3CcmszAjhsp59Afri116ofLjHoh7MW/WBJAIft 9CmH7fQph5+10qccPmGlTzlsp085PGylTzn8X1b6lMMl3Eafcni9bTzcatcPz0w4Hp5Z4By0mQEc vsRKn3LYTj/gOZ2VPuXwJit9yuHdVvqUw3ut9CmH7fQphzuZZT/caxcPlxpw2GYeXmkAh79vpU85 /KSVfmFz0EoDOGynTzn8jJU+5bCdPuXwS1b6lMMnrPQLj4eXNdr1w2UGHM5Y/F9SFsDhc630KYer rfQph5db6VMOr7fSL2zOT1mBz+nKCswPlxU4pitLIB5e1msXD89KmMOzCuTwrAI5PKtADs8qkMOz CuTwrAI5PKtADs8qkMOzEslL2M1nzyQcD2cKjIczARwu4zb6lMN2+pTDdvqUw3b6lMOrrPQLe9ac CeCwnT7l8CbbvESv3ftGsw04/M8WHJwdwGE7fcrhPit9yuHXrPQL4/DsAA6fZaVPOVxhpV9YPzy7 wH54dgL98EirXT88x4DDky1smBPA4aus9AvLD88J4PCtVvqUw3b6lMN7rfQLiyXmFMjhOQVyeE4S +eFGu364POHndOUBHP6slT7lsJ1+Ye8ilQdw+KSVPuXwB7mNPuXwFVb6lMN7rPQL43B5Av1wY2Or VT88N4DDZcpzOpv/S+cGcPgGK33K4e1W+pTDu630KYft9CmHP2WlX1g/PLfAfnhugRyem0A//MAD D1j1w/MM+uFvWfRD8wI43GmlTzl80kqfcphzG33K4ZlW+pTDdvqUw/Os9CmHT7PSpxw+20o/gfc4 ljVa9cPzDTj8BQsOzQ/g8Jet9CmHn7PSpxz+Dyt9ymGb99TnB3D4Iit9yuGbrfQL64fnF9gPzy+g Hy6KuQ7KggAO36Bw+NsWHFgQwOFnrPQph1+10qcctnnevyCAw4ut9CmHl1vpUw5fZaVPObzBSp9y eIuVPuXwAav1UvJ/ap8q123z81xd203+Jooj1gYqVvr10XWJlLXeroV1QUVpgnVDRTkoShXq7xef HBQt2i8+afKOixNdO6lIaa+/jSZrJ9msTeT/7XdFrIHk90kn+qTb55Mu8Um30O4Sn3R6R1d9khqz Bt6QoU8G0SfDPp8MiU+GhfaQ+GTQO7rqkyLvuxYqa1DpfAL51ItY/vneh7GNS/hF4vpicfywkF/s Xbvpk7TXfyxU1tXS+QTeLb+c5d/RXoVtbOCXi+uV4rhKyFd61276pNirf6GyVpjOJ23ivo+KY4c4 Xo1tbOcfFddrxPFqIV/jXbvpk0lePLBQWf9M55M+cd8GcYSFrhuwjf18g7iuF8cGIa/3rt30yWQv xlmorOmm80mpuNgqjuU4/67Y090qrneI424h3+Fdu+mTKd49C5V16nQ+qREXD4ljnTg+gm2sTT0k rh8Wx0eE/GHv2k2fTPVi0YXK2ns6n2TxWV5LKv9/T7GnW8FbUkt4LlXNs96xgrvpk2lefL1QGSPq fHJEXBwS9x0Vxxz6pCd1iB9NZXlPKsePeMdDTvqEa8YMaTZ20BA2PrZdf9FvE9yjWzdajiXuhDiI Tcx6q9CuZH1Nxwzbmd52GDNsYfk+aqezttOxQZuB7TA2eFAU2Gfhb5y1nY4BvmdgO/TDgPl54vgD Z22nsf6TBrZDrP8Llp9b9JSzttOYfsDAdojp+yF/zfPrGrppO43dXzewHWJ3yAM8K45/cNZ2GqOn ud52iNHhudcccZzEXbWdxuJzDWyHWHw2jHlT+fWn3LSdxtyVBrZDzA158sMYo7tpu11sLW2XsfXP xPEzjtqeComho8YV1QH58fRofhxy41WJ58Ynzh80zn3MwB8Q5z6KufEnsL1d4pNucdUpCpy76Q8a +5r4YxD9Mezzx5D4ZFhcDYoy5Kw/aDxs4g+Ihx/FnLj0xxL+qLh+Qsie8M7d9AeNkU38UY/+aPT5 o0H4oFH4ol6UBmf9QePm3xj4A+LmFzAX/jK2t52/IK5fFrKXvXM3/UFj6Uau9wfE0sAlyINv5vn2 9vMGPsA38z5R4NxNf9D4Omvgj1KMNcoxj5f2dA/x8lSOl4qSSTiHN3H+oDG3iT9q0B91Pn/UCh/U CV/UiFLrrD9oHG7ijyz6o8Xnj5zwQYvwRVaUnLP+sM97VwfkvdOjeW/IeecSz3lPlD+KAuL17Sx8 3yz5+RTf52PbN2KUv96Ca+ntjsyXj33PXm2jfy+woD225PeE7bUBY41dEfImjfwg1p8k7sU+vTj7 ndnsG6KOSx5PCF8Yu/xclO+K8n9i4CvbosNXfo+qJ+UwduqNkHdq5N1Yv5v40nHW8YTwhbEYrB0F 8ylfjIGvbIsOX/k9qp6Uw1jwhQj5oEY+jPW7iS8dN55ICF8YW8KaLOeL429j4CvbosNXfo+qJ+XV +O5EmLxCI6/G+t3El46D30kIXxgrw9pnN+O7Jbb4yrbo8JXfo+pJeSNuMBgmr9fIG7F+N/Gl4/pL eTL4wtgf9kf+Cs+/A2mLr2yLDl/5PaqelEPu4fIIeZtG3oH1u4kvzVNkE8IXchkwFnkO3vGNga9s iw5f+T2qnpRDLiUXIe/TyAewfjfxDc67JIGvzM3MTcXDV7ZFh6/8HlVPymVuKExeqpGXp1zGNziP lAS+Mte0Nia+tYb41ij41ir41Cn4qfIajbzOaXyD82JJ4CtzZ/fGxDdniG9WwTen4NOi4KfKsxp5 i9P4Buf5ksBX5gIfjYlvjyG+RxR8exR8jir4qfIjGvlRh/FNh8wzCGpHKNZsxHiu7V34menefWq7 THKViyPeAZfzIsLkTRr5QU39+w3kVcxVrtBc540mY2lmluu8AXOdm2LwQ7bFJNd5Q4CeP1e5MULe qZF3a+rvMpBvdJYfNFfamBA/IAfZgLnSLTH4IdtikittCNDz5zo3R8gHNfJhTf1DBvLNzvKD5lrf SIgfFTgX+Hzcn8yWH7ItJrnW1wP0/LnStyLkFRp5tab+JQbyt5zlB83VVvFk+AE5UJg3C7naC7g9 P2RbTHK1lZzq+XOt50fI6zXyRk39DQby852NVWmu97qE+AE51Gsx17shBj9kW0xyvddyqufP1a6P kLdp5B2a+tsN5Oud5QfNFe9JiB+Qg92FueKmGPyQbTHJFe/iVM+f670tQt6nkQ9o6u83kN/mLD9o rrkpIX5ADncv5poPxOCHbItJrnkvp3r+XPH+CHmpRl6uqT9jIN/vLD9i5qpZgrlq5kauOkxeayDP OcuPmLlulmCum7mR6w6T5wzk7vIjZq6cJZgrZ27kysPkPQZyV/lRHJBrhz181XUxRnBhDP8c5vC1 9EYC19IbY0cEv6p8+fk6nl8L45pxfGeyWGlXsv6l+en6iDnpVb7c8wZcF+EmZ22nuVcT2wfR9lec tp3mFTcZ2A65OLD5PMwLuWk7zZmZ2F6Ptm9y2naaD2o0sL0N32H7Mu6B7qbtNNex08D2Pty3/Vlc k99N2+k4/lYD22HsuxPXwtjrrO10jHrAwHYY192Oa2EcdNZ2u3fwqpSx1eFxXg9ifG23e9+uaoLX whhP2ycZzFHRvVtXrMT1uvHWPlHAD83wTDEi/mZK/K22MWiMtR/rjpojUh0h34fXYfJPKf5JeoxU PI5jpEkBMXxjBKY6HL+N8ytgb+ptMXCU3x+Eo5y7od7rl2+NkH8br8Pk31NsdwtHOh75qwJw/J0o /5Pln323xsBRfn8QjkNYt3qvX/5ghPx3eB0mf02x3S0c6dhqoAAcYU2qp8Xx/XzsO4+mOMrvD8Jx Cdat3uuXvxAhX4zXYfILFNvdwpGOE18tAMcbcC8aWAPkzRg4yu8PwlHuc6Pe65e/ESG/Aa/D5Lco truFIx3zvlYAjq083199Dd8BtMVRfn8Qju1Yt3qvX/5mhLwVr8PkX1VsdwtHOn6fz+Pj+BTPr3X4 vChncHsc5fcH4diPdav3+uXvi5A/hddh8uM8+fUZJw5H8/fXTHAsSeX3Opwvji0xcJTfH4RjBusO e88Mrg9HyEvwOkw+T7HdLRzNn/2b4LgSfb0uJo61ETjWKjgGPWM/HCFfqeCoyq92GkfzZ/QmON6N vv58TBxzETjmFByDnoUfjpDfreCoyj/nNI7mz9JNcPwh+vpYTBx7InDsUXAMemZ9OEL+QwVHVf5z h3GcHJC7a2P0mXdva/gzb3WOA9yr2/8B7tFxAtryRcyXtbGJWScY2pWsf2m+7OsGvwe4728xx/R1 Z22nOaajBrbDfT/DvMxRZ22neZkRA9vhvj9iLmPEWdtpLuNMg3XBG3BsdAve76btdPy/zMB2uO+D PD9mXuas7XTMfKmB7XDfCp4fZ17qrO10nFljYLvcr3Ye3u+m7XRstsrA9lq0+Wq8303b6XhmjYHt cN9qnh8DrHHWdjoGuNbAdrjv4zwfN1/rqO1TAuLmPb65onLcwnrHxs3qfsrqvuTcpxe279rovORe s3UdYO7NQTb2XauExihj2uhvV7K+pjH0Hm62hxrY3u207TSGNrF9EG0fdtp2GkOb2A7zRsH2au6y 7TSG3sfN9lDbi/Ms9zlrO42hTWxvQ9s7nLadxtAHuNkeavtx34cDztpOY+gDhnuo7cc9Hty13W4/ B/97i/fgfg5ZZ223mzfqfyfvHty7wV3b4++hdg/u0+Cq7VND5o3KGLpoNBQeG0OrOeWwZwW9IyOh cffouCBirqncC1rds62YyT3bKsUR9m2rTHzftrC9oHtHksaAxtaHmX5/bIitP8PysfXnsI1d4pNu od0lPun0jp9x1Cc05v6xgU8g5v4hy8fcP8U2DolPhoX2kPhk0Dv+0FGf0Fj8eQOfVOCcvGqcT1js 6Q6I6+fF8UUhf967dtMnNEZ/28An9TivqhFz/MWe7pvi+m1xHBHyt71rN31CY/fTud4nELsvwNgd cv/Fnu4C3sFP5+38TN7mHRdwN31CY/pzDHwCMf0ijOkr0Cf9fBEf4Ofwfl7B+7zjIkd9QmP9KgOf lOL+uhDrn48+yaQqeXmqimdS5/NS71jpqE/oGGC1gU9qMH8OY4C16JPa1Cpel1rNa1NreY13XOWo T+z3dVvK6L5uxUzu65blOW9vt2zie7tNnE/s93ZbyujebsVM7u2W5T3e/m7ZxPd3myifTNOMJUbn sYz0knks/tx66JwWoaed0yLuMV1nGdZxWDJRz/dFu5L1NR0zVDKzfDzY/ojTttOxwV3MLB9/gOXX cWh21nY6BjCxHWIXsB3WcXDXdhrr/5SZ5eNh7AjrOBx11nYa05vY3oa2f9lp22ns/jQzy8c/xfLr OPQ7azuN0U1shxgdbId1HNy1ncbizYb5+IO4jsPd3FXbaczdbJiPP4jrOLhrO42tmw3z8QdxHQdX bZ+uiaFlfn1kpDXWnBbQ081pgXt0e1Sr+fj0aD4ecvFViefiw56HQFuT9T+Nq7cz/Z7dEFdvwVz8 Lmxjl/ikW1x1igLnbvqDxtpPG/gDYu2nMA//K2zjkPhkWFwNigLnbvojeH8GnT/knghy74O0p/u6 uH5LyN7yzt30B43J1xnscQ8xeR3Okfk47nHfwOt4I/84rxcFzt30B43TbzHwRxuuMwe5963oj3a+ iXfwrbxNFDh30x80dt9m4A+I3Tdj3n0n+qOfb+YDfCfvEwXO3fQHjed3GPgD4vmtmHPfjf7IpLby 8tRuXioKnLvpDxrj327gD4jx92G+/QD6oza1j9elDvAaUeDcTX/Y59qrA3Lt6dFcO+TZc4nn2SfO H/Z59uqAPHt6NM8OOfZc4jn2ifLHjIDxwSIevM5bcciaJ/72tRrOX38f5hkX8/CxRasyX15to8m+ hP41MqSef1/BcyLkTRr5Qax/vN4RTo/jO8IzAsYli3gy+HaiX74bE98uQ3w7FXy7FHy6FfxUeadG 3u00vnSclRS+g+iXV2PiO2SI76CC75CCz7CCnyof1MiHncaXjht3JoRvBcbU5+O7Frb4yraY7Ou3 jVM9/758t0bIKzTyaqzfTXzpOHhPQvjW435TNyv7apni22C4r1a9sq9Vg7KvVaOyb5Yqr9fIG7F+ N/Gl4/qk8G1Dv3wlJr7thvi2Kfi2K/h0KPip8jaNvMNpfGme4o6E8JX7zcG+eAdj4CvbYrIvnrqv 3R3KvnZ3Rsj7NPKBcd7XbnzxpXmXpPCF3MxtuK9dHHxlW0z2tbuNUz3/vnR3RshLNfLylMv4Bq/5 nwS+cl+AtbiGlS2+si0m+9Ldzqmef1+5uyLkNRp5HdbvJr40L5YUvln0y70x8c0Z4ptV8M0p+LQo +KnyrEbe4jS+5mvZ2eIbti+cKb6n2r5wLuJbEjKvIagdYViPtJrP7b0LPwudB9HaG5qrrGRmucrF LHx/CTkvIkzepJEf1NS/30BexVzlCs11Zg1y2Sb8gBziIZbPdX42Bj9kW0xynYcC9Py5ylyEvFMj 79bU32UgzznLD5orTYofg+i3V2PyY8iQH4MKPkMKPsMK/qp8UCMf1tQ/ZCB3lx8015oUPyCHCX6D XGscfsi2mORaDwXo+XOluQh5hUZeral/iYHcXX7QXO2zCfEDcqDPsHyu9vkY/JBtMcnVPhOg58+1 Ho+Q12vkjZr6Gwzkx53lB831nkiIH5BDfYnlc72/jcEP2RaTXO9LAXr+XO3JCHmbRt6hqb/dQH7S WX7QXHFS/OhDvz0Xkx/9hvzoU/DpV/AZUPBX5X0a+YCm/n4Dubv8oLnm4YT4ATlciM0g1/yfMfgh 22KSax4K0PPnil+PkJdq5OWa+jMG8ted5QfNVf9XQvyAHPAfWD5X/ccY/JBtMclV/yFAz59rfidC XqOR12nqrzWQv+MsP2iuu4Qnww/IIU/DXPcsbs8P2RaTXPc0TvX8ueqyCHlWI2/R1J8zkJc5m0ul ufL1CfEDctDXYa68PgY/ZFtMcuXXcarnz3V/MkJ+RCM/qqm/x0D+SUf5MdPwHUJ1P5liZr+fzJh1 /CL2k6magLU3itnErDs+03LtjaoJWHtj4mynuVcT2wfR9lectp3mFS8xsB1ycR/GtTdWOGs7zZmZ 2F6Ptm9y2naaD7rOwHbIoVyLa29c76ztNNexycB2yA/chGtv3Oys7XQcv9vAdhj77sC1N/Y4azsd o+41sL0GfQRrb9zmrO10/GViexZtP+y07XRs0WlgO8Tj32L5tTcedtT2UoM5Krp368aso9HbGnu+ ihp/Q11+H9jOVzGdLxI1X6VSM1+lchzzLUXjOF4qDYjnH04IX/jtPITzTbpj4CvbosO3C79H1fPL H4mQd+J1mLybjcvveoLwpWOW7yeE7yD6BuaLHImBr2yLDt8h/B5Vzy//UYR8EK/D5MOKT9zCl47L nkwIXxi7/QLne/TFwFe2RYfvEvweVc8v/9cIeQVeh8mrFZ+4hS8deyaFbz36/eaY+DYY4tug4Nug 4NOg4KvK6xV8VXmj0/jS8XVS+Lah378SE992Q3zbFXzbFXzaFXxVeZuCryrvcBpfmkN4JiF8+9Cv z+EeF7b4yrbo8O1X8JN6fvmzEfI+Zb6UKh9QfOIWvjRPkhS+kEv5V5zvEAdf2RYdvpnUWHylnl/+ bIS8NDUWX1VennIZX5oLeikhfCFf9Gucr/ByDHxlW3T41uL3qHp++YkIeU1q7HwlVV6n+MQtfGm+ 60RC+GbRLzDf4Lcx8JVt0eGbU/CRen75yQh5VsFflbcoPnELX/N362zxDXu3zhRf03frejTv1vUY vFuX1bxbl+Vu4ltm+Lx/WWP48351fgfcq1snGO7R8WM/fsc45QcD11yDdiXrX5ofzBisRw33zcK9 rzPcVdtp7uxcA9u9eQG49/W5ztpO80rVBrbDfefhvdXO2k5zLssNbIf7/gzX9V3urO00H7HewHa4 73pcw3e9s7bTsbrJXrhw3z24Xm/WWdvpONbE9gzuA1yectn2eHtf174He18nb3u8va9z78He18nb Hm/v6573YO/rpG2fpYmb5RhmWe/Y/epM974GPd3e13CPyRyB8Yqhw/YGhHYl6+t4MXTnOMbQE2d7 vBh6cBxj6ImzPV4MXTGOMfTE2R4vhq4fxxh64myPF0O3jWMMPXG2x4uh+8Yxhp442+PF0KXjGENP nO3xYuiacYyhJ872eDF0dhxj6ImzPV4MfWQcY+iJsj2jiaFlXrk1H0Jb7/kMero9n+Ee3b7b6n51 xUzuV1cpjrBnXWXie9aF7RkI7U0WA7v30aRP5Pto3T6fdIlPuoV2l/ik0zu66hO799SkT+R7asM+ nwyJT4aF9pD4ZNA7uuoTGouXGexZD7F4Ccbhs3HP+iW8hFfzMr6Ez+YV3rGEu+kTGqOb+KQefdLo 80mD8EGj8EWD8Em9d3TVJzR2N/FJG/qkw+eTduGDDuGLduGTNu/oqk9oTG/ikz70yYDPJ/3CBwPC F/3CJ33e0VWf0Fh/lYFPINZfibH+avRJJrWSl6dW8UxqNS/1jisd9QkdA5j4pAZ9UufzSa3wQZ3w Ra3wSY13dNUndGxg4pMs+qTF55Oc8EGL8EVO+CTrHV31CR0zbDLwCYwZbsIxwy3ok57UTfxoahPv Sd3Cj3jHm5z0yWzDeSwjyljCeO/rXqbf+7qXGb+zN95rWKSVdiXrazpm+Gdmlo/vxXfJnnTWdjo2 MLF9EG1/xWnb6Rigj5nl43+Ja1g846ztNNZ/jZnl41/BNSz+01nb7WJ6fz4e4ldYw2Ki5rAlbzuN 3c8yzMefwfNrWJzjrO00Rq8wzMeDzbCGxbnO2h4/Hw9zjWENi884a3v8fDzYfthp2+Pn48H2nzls +xzDOS0jrSzWnBbQ081pgXt0+3Or+fj0aD4ecvFViefiw56HQFuT9T+Nqycb7FcOcXUa57lMw/3K u8Qn3eKqUxQ4d9MfNNa+ysAfEGtfgXNfPor+GBKfDIurQVHg3E1/BO8DrPOH3HtX7rGb9nS38Wp+ K68QBc7d9AeNyW818Ec9+g3y7/vQHw18J2/k+3i9KHDupj9onG7ijzb0R4fPH+3CBx3CF22itDvr Dxq77zXwB8TuuzHv3oT+6Oe7+QBv4n2iwLmb/rCbXyP9UYqxTTm+J5f2dA/x8lSOl4oC5276wy7G l/6QMX6dzx+1wgd1whc1otQ66w+7uF/6Q8b9LT5/5IQPWoQvsqLknPWH3VhA+kOOBY76/NEjfHBU +OKIKD2O+qM8ZHwQtMZdUcg74GPa18hir3FHxhaNY31wqu7JOF7vCBeP4zvC5QHjku0J4Qtjly0s v8bd7hj4yraY7Km4JUDPv0bdrgh5p0bejfW7iS8dZ302IXxhLPZpll/j7nMx8JVtMdkT8dMBev41 6u6NkA9q5MNYv5v40nFjUvjC2BL8AmvcxcFXtsVkT8NPB+j516i7N0JeoZFXc5fxpePgxxLCF8bK j7L8Gne9MfCVbTHZk/DRAD3/GnVPRMjrNfJGrN9NfOm4/mRC+Lbh3mmwxt1gDHxlW0z2FDwRoOdf o+7fI+RtGnkHH981dsYXX5qn+CBPBl/IZbyf59e4+xC3x1e2xWRPwPdzqudfo+6iCHmfRj6A9buJ L827XJEQvpCbuYzn17iriYGvbIvJnn6XcarnX6Puqgh5qUZejvW7iS/NI+1JCF/INe3i+TXummLg K9tisiffLk71/GvU3RYhr9HI67B+N/ENzoslga/Mnd2rrIFmim/OcA20rLIGWk5Zw6xFWQNNlWc1 8has3018zde4s8U3bI07U3xN17g7olnj7qjBGnc5jb6r+M4NyFv692/0tyMM68ZGs/04YL4b5Crn RGANdYXlKsu4Wa6yhFM9f65xdoS8SSM/qKl/v4F8trNcobnOMoO+wIQfnei378bkR5chPzoVfLoU fLoV/FV5p0beram/y0DuLj9orvSGhPgB429YvwJypTfF4Idsi0mu9HpO9fy5zhsj5IMa+bCm/iED +Y3O8oPmWrcnxA/IYW7h+Vzr7hj8kG0xybVu4VTPnyvdFSGv0MirNfUvMZDvcpYfNFe7OyF+QA50 B8/navfF4Idsi0mudgenev5c694Ieb1G3qipv8FAvtdZftBcb1L8aEO/fSUmP9oN+dGm4NOu4NOh 4K/K2zTyDk397QZyd/lBc8WfSogfkIO9E3PF98Tgh2yLSa74Tk71/LneuyPkfRr5gKb+fgP53c7y I3iOXxL8kPMA52pyGWH8yBjmMkqVXEZGyUWUK7kKVV6qkZdr6s8YyHPO8iN4zmMS/JDzItfG5Eet IT9qFHxqFXzqFPxVeY1GXqepv9ZA7i4/4uW6TfhhmusO48eplusOk+cM5O7yI16u3IQfprnyMH6c arnyqP1mTPajcZEf8wzfIXzggQfIO4Rha2/AvUFrb/jtgHt0+4yP59obRSHvaEK7kvUvzU9/i+n3 WIec7j/g2hsPOWs7zb2a7C8/iD6CdRgedtZ2mlc8aWB7Bc6LgrU3fues7TRnxrnedsgz/RHX3iji rtpO80EzDWyHHMp0XHujzFnbaa7DxPY+tP1Zp22n4/h5BrbD2HcOrr2xwFnb6Rj1NAPba9BHsPbG 6c7aTsdfZxvYDmOWM3HtjcXO2m73vl3VBKy9MVG2z0/g3Tp/+9iyxtjv1qnxN9Tl94Htu3X7Ne/W 7Td4t65S827dOOwP2Ry45krC46X5AfH8FxLCF2Lj+/Ddugdi4CvbosO3C79H1fPL/zpC3onXYfJu xSdu4UvHLF9OCF8Y1/wNvlv3tRj4yrbo8B3C71H1/PKvRsgH8TpMPqz4xC186bjsuYTwhbHbr/Dd uhdi4CvbosN3CX6PqueX/zpCXoHXYfJqxSdu4UvHnv+REL71+E7TzbhWkS2+si06fBuUd6eknl/+ SoS8Hq/D5I2KT9zCl46v5/Jk8G3DddthvsVp3B5f2RYdvu187HxNqeeXL4iQt+F1mLxD8Ylb+NIc wkUJ4duH76g9h3uu2eIr26LDV74Lp+r55RdHyIPerbso4N08N/GleZKbE8IXcikbcb7D1hj4yrbo 8M3g96h6fvmWCHkpXofJyxWfuIWv+XwFW3zD5iuY4ms6X8F0vkDUfIWsZr5C1ll8zecb2OIbNt/A FF/T+Qamz/uj5htkNfMN3MXXfL6ALb5h8wVM8TWdL2D6vD5qvkBWM1/AVXwXBOQtbwh43j+Cx6Dn /eRdSGawTjDTr8O2V5S/BAeKspHJdYL/UlxvFLKN3vmErMPGWMI+pznDbxv4A56Bf1OU74vyHSbX Cf6muP6OkH3HO3fTHzTH9oyBP37L8ntxvC7KcSbXCX5SXB8XsuPeuZv+oDmpVw38AWv2/57l19l4 k8l1gn8vrt8Usje9czf9QXM4JQbrOG7g+fW3N+P4Or9O8GS+mc/mG0SBczf9QXMeiw388SDuafE1 UapG1wk+g3+NV/EHRYFzN/1BcwTLDfzxS3HPhaI8L8qK0XWCL+TP8xX8l6LAuZv+oGNqk3XXZ+Aa LvPFcc3oOsGX8fmpNXyGKHDupj/oGHSDgT+uFBefEPetS+X7nPw6wZ/g61IN/EpR4NxNf9Ax2xYD fxzCPMfncS2Y/DrBG/nnU7v4IVHg3E1/0DHOAQN//CCVfw/vGI4v8usE7+PHUof4D0SB81PdH6dC +3pFJfdN0B7oYW2Rf78RlUxJ/f+2yLaM4N+/iUqmpsaOQ4N+HzCuuQbL9Sz/nubN4ng/x/Hh/S9d +g9VJy6VMvislo39k9+5luX3vSzB+upFWSPK1VjndqVOKSuKqPMar84L2AewXvjNTvXVv0qUC7D+ VUr9UmZS/wd99Zco9U/H+isD6p9uWP+yiPphXjHUnw6o/yQzq//CiPp/jvW/xGj9Pzes/6KI+r+K 9f84oP6vGtb/oYj6m7H+LwXU32xY/59G1L8B678joP4NhvVfHFH/cqz/2oD6lxvW/2cB9UP5pCjz sP5lSv1SpvvNfgB/UxPSb4Xkw96TPjSkLWofqus3Ie/1RZ7n4iPKb1jKbPvNb6DeTwLqlLJC+s0X sI53Aup/waL+sH4Tnr9DHX/Kaf1SVki/eQ3WsTug/mss6g/rN+/DOv4xoP77LOoP6zcfxzpeDqj/ cYv6w/rNolS+jkUpWr+UFdJv/jnW8T8C6v9zi/rD+s3bsY6/Dqj/dov6w/rNH2EdjwbUL2Uu95vc V0+Jry0mn8e1gxdgB6y12gNzyiEXyqP7XNgXAtaTeEKUH8FcKwU/KZsUgR88p1jHNrEGdiPbJv6V 4nfNeNcHXjkVfRWGuQs4g5/bRVkJsgic17F3cxYnoTJ4bluUL/fLB1dl7LKPsJ1sO9sscFzEPiaw 3CFGqYvYanFu+vdYE1twFqTi2ZHFx5o+IQr8ps9iLRzadPH2x5rgCPcsYA+J26axBxcegyny3j03 vZpeCrJvIDDgg8ufyLC3ezPsfxfzpYfmc97yYsbrJ577pwybsrVbsA50hU+fAIvH3vN/7+lmF4rP H2HFSz+7pdu7H/6+9GK+zmObpi6FexjeC3+bsHx3+Vy26Cf/1AT1AV6/uuRY0x11x5q+MX8aXy+u r+rNePf/o6j/tBPppfD5xts8aMc8r4XfWBax7BDlwyyfl/f/xhbgZ1MjfmPQj69lt3q/ss0Cl80C qx2+31mJ77cmjyVY/FzzP4906feYDnmHZLLyzn5YG6difkvWK9sc1h6/7jTUlX82upB3uhD9fsXq K8+rWpF/nyRva/Nf4LCr2X8u83RlqJNa8W7dMzGPxVAO5/8PQ33euOztAQD= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0117_image057.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhnAEjAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAQABACV ARwBhAAAAAAAAAAA/wAzZgDM/wD/AAD//zPMzGZmmZaWlpnMAJnM/8yZ/8z/zMz///8AAP8A//9m AP+ZAP+ZzP/MAP/Mmf//mf///wECAwECAwECAwECAwECAwECAwECAwECAwX/YCCOZGmeaKqubOu+ cCzPdG3feK7v/OX/wKBwSCwaj8ikcslsOp/QqHRKrVqvVRF2y+16v+CweEwuX7TmtHrNbrvfcCE6 Tq/b7/j8eK7v+/+AgXF8goWGh4iJSISKjY6PkHCMkZSVlpdSk5ibnJ2Ymp6hoqOBoKSnqKlspqqt rq9XrLCztLVGsmUBtru8eLh7ur3Cw6vBg8TIyWK/e0YUCRIUWA0NCg1cDArK237My0YJCQPSV9UK 2ljZ59zsd95hxkEiFAP1Auf4+fr7/Ob8/wADPmhHUFK8NweDSJAwIMK0ate2rGNAcWDBi2begUko REBDLhElAqn4wCLGk100/3oZcSRAQwEguaAbSdIkyptTVLYJwDACzC0hr8wMQvFCyZI4kzrRuUqC OJ9AZRqhyMDHUaVYW3Lsw1PcBKjTRCIpahVp1rM/mK4JcMDpgAtgy2EZeoTqj6M20d5Uq0aX2wlw f8oV2oTsXaRm9Rbkm8bvs7c+BVcJSoWuErtA8CpevFWPY6+BJVOhLMUyE8NG8SbejIxxxgttHwOO HLaK6cJFUafOi5s1J9e5fEQDHXqwbStUkytfzrw5Zt+WgJMJNvzCAMDFrZCGcvuJ7iGakySHHr0z F5ZyZFG/8NgBdtraj7MJP7YqeUjSW6aVt/+Wj9gJWPfeBQKIFsV2TnRnBv99RXx3nyH5+efDQcaY d8YP0VQQ4HU+OFRgfJXZQR9vDj4ISIRFVMjfhPoJx96G2MFFoIFQIMiEgm6oNkSJJnpmYSz9BWmh MRKwp6GAP3hIoxM2LoHjG6rpeMFzPXL1oxUqyoOellvGVsCG7iUJ05JNNJnEk1ASoRpJVeaBIhFZ yrEIEEU+4wOHYhI42RRoBlKTlJnx1uZKV2bRXzxXxlPnBWDG6KGeU5iJRJ+CfBflVYPCU2gWc8TZ oosUfHlnmB3qSeYSkhpBaSE87rZaplu8+UU8bRnZKBCPnqpEqkSsagiVmR0mKKyZbHoMnewxOmqM Mo4ZaWmetCossZxCqBD/ewUc+RazzUJ6YBS+JiLttNRCIetK1yYboHWklmrqs0+Eq0hu9hnBYLmL GAtHXrWGuu5b7cr47rfxojKeEpjie4u+OfJWZ7b/BiywswQnaLBySySssJaFaHxBker+MIDEDg1c Y8GvYIyExwqfu8W9/UJ85wUk+0DxE7wGIS8nKhcR3rA9uowFoLA9rOyyQjw6o65E5PzDzqL0DB7L VQptRZTpSnOkdTRzW/JPBYb94a4WKyN1WfeaaHUVlyKL7dbscjtx2EGIbTfdPjjtA9SuHIxa2r6t PeEkWwrR9g+1hjyzxHM7IXYDd49JI9+znI020FkJ7umFLPqXcOJar8s1/+OR4Y1zR2PrjBO9wLqK OUqaB9k55ymijaEPoR49utzNps4kEb4/rZflgJ8U++yzD3nY7bhfADfAchdQgAVKnz7E5NCdXXw7 x9OeFisGGBDofyCTIzrAF3BbQAQRFGBzxUBgb+LBwg5ENTHdUyj79wGEH+hAoHPf87oWhPVFwAI/ CB6qOjIEyqFEaiVhwKtawzBz7W9zchDf8j72g9ABAXpAsIAI2ce+9/2OgUJwYFKaw70KPiFLwcCg PDS4PJBhS3e7GwIC3VdCpg2BNPLbmHOW44R6pcOIa3HhCzvFvznRcDcBdJ7ociiEHXYIPkwAYgo3 9oOqvG6IYAyjGJnjBv/BYekCT9yNDc33QZqlr4o+kN4VfQgELaqOi8FCDhL1iBAlrsUHaSzJGgU4 RRDCMY5JKtkC49dAPObxD3vMiB/78oNAmiR3cBvdG4OAwB+4L5GKRAJlDKRC1ryODpGcziQbU8kg JIwcmUSf3DoZx0/arISipEYCt8gkvaHklHFI5TJW+ZpWjg93hGwjAQ/pSUbisgjU0KUJhVemaD4I mHAQ5kaIGRwgWBKZPpiiJmcpBFtC6plCiKY610kNa7Dzne80ETbfoE1CWcubrjQLLAvpA8ZdgJbN TOBP0PkDde7yjqiy5jUr1RhuTkcITzzAVTApTllu0gcA9aQ5BUNQH0z/gFmikddHezRPekrynkGg YVuQkjspKtMB6fuoTGdK05rSlIQ2zekEFKDTngLGlzcpqRvqiQUzGgqiyGJpMpUpU04WYaOiKeFI GYlQJXzUIUD9JUOBkQtCnEBCSHXRUVqaydHBlJnl3GjSOhrSJrAPO1k9iVDbQNRqNQN5K6rdEFRa pJKQtaIOCOxZnfpUquKKhIhNrGIXy9hNxhUjc2VDXXPi0E9t5Ued0WDi/PpJcbIrsDo8AlSThsK9 PSECMXpsQSIrWU09FK/7G4J5NAiyo3yyrOgbbAhFWzcktNUJqC2oPFm1zdd6L7ayNYJma2uWsnKt n2glghwPWoTfAheu/yQlrj3velzY8g98RTvMbSv6FugSlrcC9VZvqXla4Q53q+epLFgTUqgfGSBx ZfEBbuvxA93+UwnmnBHwgMA3Rap2tdqNlXz1yjkZJvcI4rPhbvRbUevUY2TnRe/drkdgKRg4u/CN xYJTxETvPhjC+E0NhY9w4fJm1AjTFTCH2dte996Hta0t6ohnlYT7SpgCSHHuEALb4vImQXoFUOA0 L0C5UB64HThWw2SXYFQqFCrFExbykH9ggRYjAclJHrBpp+Dk9/pJx78aFweBAOSSaHnL/xXZhaWL ZPVSl8lT+IqNb5xgK+8YXZZD3I8LEGTPFuGsL7YwfzVaZxoJxoF6zv8biM9sV0EkhIjkC0Ko3Gzo Q8e5CF5+rvQM9OgqRPoCT4Zyn6NQ5ZzUhwFteeKmOc0EmCZ6CHNOYIBLTYXZ7Bk6UZayn1GaBAko J3e0rvWtibBom8XYWyr0taQXuuqlVNAE3VRCrLtIAZJ02ggOWDazGWlLXvdaYKg2M6XNxbA/z2kJ 2+6g+46SgEALIdxNMLKepvuTUg4o3eoGxJTTs5SdMKFWNGwpptSMUSfo+yejHrOp3ZVqdgQ7DQMH gkrcDVYlgCzhnyxJAizCcHGPm7oC+GQp3/jhgENyidYugRIKl1cGa7tIICeXD8ZlAdAu4eHxk97K /w1wPv/K2sblSKL/mpA4DbbUVUSpJwL9y2LD9jvAUiB6xbdxcYw3IX9ySoK+8Ov0kNM7HGhPe9p3 68YhhEMIQH+fNp6ddXcVnTxdNwPDz3BtEsz8gjQ/8RJsWPbLDcswak+84j0b937X8tx237oyJtiH 1sGp3TVnsP68K3OmEz5ZhD6cEL5DS6q/HdeMdLxG85ykad+Y8nnYu0Y2b9m8Ks/z+Jz1pSrA+9Ej sfRuPzmkYGIZujfBUa4HNuwfMfvMw+mCyNW4E1IsPt1faiC8z372UQN8IXTayM66DZiNbwRmlUzy yFi+Izbud7EfKnmfgreE0SgNrEN9CNrPv3n1G07hh/+pdcYE5pd8/76Rd+7AcRpXYnyHWU9AfTek JvczJfaBQPmnfeFkaOBHfABIfkcwgHdXgJ+AgEXVgPNnAE83NepHERl1Vtn3Axi4S90xfvZXBB74 gZthgHXADDGEbcZ1cPMHekewPVOygj7XezgkMjZzD0sQgEhQg+g3DDg4CCIIJNP3gyY4g/+DORZg GII1WNn3gnriKxwYBB5oUA8hTbMQhQZBbD4oBCdoLxGIQGTRhUGgIRUAdzYjL0w4BF6DagpVDn+Y huXBhvLnhgaAhfkEe7TEOj7ngkaIhEoYBWPoNfBUiZZoibaghmU0hWdEgkPwhkFINQB1MP4VIC14 J/dARwBIBNxihv+AuE60oInFgHR8V0zTt2ZsdohMADi0JD1G1Ii6Y4QDEIlDgIgFRHdy0z6h5AWB mAqymEQF12DZVoWGWACHKIPYiGR4MX4WIIMMMH6BhWQJAGbZNwAKkHLZmI7qOH4TIIPtUwbNSArP 2FDRGEPTiHvldIhptDIes0N1tkc+51kV8BYGsodLOF3mZ0BpEI+eMI8nRYvdxWNQgGUXUAAUcJFo 5D8ZkzAIdJEtFUmg5VkKMACPWJEG2QTSwyx1xj7GCBJoGAoOqUpdRV/tZ3NMh4u445HepJH8mBgW 4JHkMCVEEFjidA9vUZJWUADtWEu2xJJqwJCWEJNc9XcLWJPz5Xz/NomPHQSUXNmVXgmUY/WVO3do 4qQNw+g8vXeHVtCO0lMBAdY+LXkEallNDYkfU7g5m+JHWAaUysWTEMhSOskeXxmUOIQOZ6lfFZiY irmY2aKY7LOYkKmYvfSE+2KXSccf6iEFFMkEfmk4V0F5SMSVCQCUP3GWfLmWbek+MggXcPkEc7mY uRQRrqgdLxkGUllc3EUh9thxt/iDTRA++1g/E1RPCQBaQDkOp7mWMCY9LBmXTQCZQcBOZ0iZ4MF8 1xZ9YXdcMtR5UbCZTwCcKAiaRxAgDjAUyImRV8A7RNCcY3gFidkAkRmfigmfSGmb64d50vduEWli 2HlzWwCeWTic/+PJZI1IkIKZnlOFBCWEjcfYnr1UAVtHDRBqgfbZCM2Xn7Unjfy5oUngnVQAnteX F8R5jjRzVs2Gnr2mnuvpEDGWjoUQFPrXBbeZEtfZnwkYJ4GXnROJk1xgACG6GiPaXx5hD1uZZzml oI/XoM4ZBzYSo2xjoS5kld8wBR7KNpfio/RBnKJDZA5ApDnJBTS1oknKlCeZB7xSgVIwowpGiNQY BhpEQ+EjJdp0jlvqc7l2oF4QpofFlMW4pG0AVE6KMIrQaplABVU6BqphAAwAnGmkDQKwpSUqZ/yF ol9QU6zJaAFWpnRwYGgahInAfhwaK4bKo2uwJpXEqAZAogEiPv8a1IgFcmGEOQYy9UxKyTsOSoMJ GhXuKZ+B+gcXupvcpZm+WarFc47hkwCdCYyv2mxpwJIfVas+Fa2W+gVbN5f28gO8eoqz+HWdw4nE dKhpQDSm9RPhkKy6FTZ3agbrc2p0JoDTahxlMFfWCo31uJ8pUQXgmgYWQDSOyihol5FPBIwzQg/p KgZO+WW3yopNNRql6gTzSo9LZFTfSqpwsK/hgQ4w8Xan55cCWyAYWbBe4BDLKFp+KgR6aj0L4rCb yKaemAcWexX9GgQbG7D+5bHkALJc8I5MkLBNuLCLFK7PubKFwE352gYvixQ/kRf/CqCRWjcoGmpd MLJHVrLlN1P/SUCdPqOy2woMncGA+DqsdSBC10cEM9tfVCcAFCAYzHoFAwUFPOuuCYod2KUGQvWw XRVz3Mp5XjuqYItKYos1ZLsuACqwgnmc+lYFECe1ADZdmuoE74q1WcsEdiuTeVu59GWvNtqGL2cB 2iCuMis6Gkm4pOkRkVO6G1ZairuzYAamNkW3QUuvlUtl0Ie5oVqIAsdkRxuB/iq4/gOMybm2SmC6 MLE+VLC6WCC3wtW6YFC3W0tlPJih8Bd/VNq3dpANPzqeoCs+usWVSEgFzsJDU8CgzKiwJ3s1ktu8 GyE7z3uj0nEAFJsHCvCjunt6GdmIg4WewNsEYJNy6JaUjQs//1VrqT4rqOfbF3cZfXv7tYWgACIk QgGKOf9av3S4ldJwuFLQtl1gvAwbBVbbBCU1ua7lvBeqoZlbWUUbBwowgQbiuZ9rtoLlhgRrBQWS ulegwSgLBcq7Mq/7kO6XuemBl/qJr++LB9qQHArEwkBwehMMwxb8BO4jADS8BTb8s2uZq2pSwDwc xJyIoUJMvXWADphBI0jsgmtHuLiTvyhpd2UwxUZAmQPsSlh8t1RZu+exBScMBzPBAJ20JIAbuP9q xuzRxDubJ2uwumwMuW9sFXE8lWKXAvdoqF78xSOxxz4zxoKbdlR3J7Gaxt3iBuP3Q7Kaqx8MsZZm x0N8B3Sxhf9VoStjDEhkHMFytskA1npKtsafXEdmsLDzBMLbVcpY0BYLEQiWIYcMwDTiahM0u7vn Q6mz3HoyVsiMO12QS76LHMK+jAULEckofEhqBrjIfG+DlXb1wMxfhit3BgdINs24qqJAwMvxxbJR kM3BDAjDPBI+NLbGFASEKw7hQM7SFQSKVMt/+rZD41EjhbztnMUnwgXue8qSjFZ7J67B2bQfNABq 9wzfZk7LWMv0SwYRwcbLCwQdXIdyHAgIcNJbcNII4NAobBoZxXCiN9EU3b0vsng2fdM2bQaU8b9X wBtWzH+UKwgqPdREXdRGfdTMowcBsdRLHaJM/Q/1cA4YTQH/T30OEfDU4aANiketdEa1HizSHoV/ QT1MSscKKv3LZ+0ifYAPodVbPCK/JSHT+4eEXllOpFVaTLYObqd28NqnXp0EwyI37ixil4mht8cF CHAADa3NbNAdL/YTDnI4fTyU/sVf+haYiATQ11NqaLLVJ4OwcsTTBGyyJM3I8ICdh43YsOG+jG0H iTY2Gec6mCOwIKuTWJe6H6J6TZB4F3gEegPSThDYQjDYlXba/Jnaqr3arR22YrZ3wrl8wIjGhRur NJw6DoTTouNLXyLaOsyHpW3Nxt1dOYqVWLDSGKLYhrBsguHcgDTZ+myiFlZYmK24diNxU9Bp2O3Z u0umUAA0/8xC3MOWm1lZlRxn3reD3oKg3jTxm4Y3LBOcv+YElLgtGSvn20pw03z61d6d0OCdvsct vV1g4Gqt2A39Bwq+4EtAQ+5dol1IZBZsfxHgz8FT4dDkBOK0eM7p3xyOm1OqoQ7mAwsQAAuwBUM+ 5D8g4vNH4khQ5GsgbgZib/j0wEDgAHnh4l04gw7Bl6RZVVzNBfptODS4471M1kIiCwtw5mie5mq+ 5mze5miOAGkuAWyu2G6O5kZrBMFjeXvlmT8DNEbW4i/cv1xJSmIAueLI20bhrxvuPB3uB0Fu5FfA 5EAg4u+r5EJg52xgcjSi51HO52O8aFgnWBHQhYOZnONLBv9M+OVhDdSzssVWVgaU3reWDgSQrgYm Z2c0IUxyLXq49hZYqEhA2eJsVupEYOo1rq4x9gDhYH8xAuDsBs8hni5GgOA/UOv66lt14SByLduY I92h5Kr91IUKYMal7s/pxAbiS9qM3urQHu1ucwQkjt7Wbga37kPAItPyK11oTN+9wuLCDsPmHp1v AGadBhjODnNDmwaUztKIE+8OH+9hcOtLIx6GMdFwLSjuk7/83khDBuhLbOFtAGbCve402u7u/u5L MO8N//Asv9rUngQSL9A7UhTBKXqTbUvAK7VkQimCJcvn3jADUfAk/84JrwYLv9wXoPIH5/BMoOnP vAScXsn/UmJOh7vxHJ8EMEUBmSzwUPIAosKKB/91ru5qa3D0TaD03QnxRiDxS3Ya7C3bAcasVs9L S6D1ohQH7vNtExD2zmvyXrDwDE/rX6D20YXnUCA+Uf+XHtNsIrte/c4EWr/1BDgfeQ/2Y77QbGD2 Zy8GhP9pSSDzRPBEmNaTDLJobKUqkB/uTUMHXq/3fN/Ifv8Fms8EaM/QSs7259xjvufck90QD4BY uc/lRxCUW6/OR3aEYk7YqlTWCVz2QrDctT/4s/75TiDT9FNYsl0WRkZCuC78RUCYhGv8K/P1Yk30 PU57yG30QwD9me7yJW74DJ7tJWJOIbpWUUwpsQqM4j/+/9/2+lpR2CBwieMVkKdooivbuiuySi+6 0Dd+WuTR+8dKIMiJDDkGknEqoB7O52OAEkSqLUWOgnKQGsQvmJlgVSbgV0B1/qrVJzcLvp6PYqgZ 0Uaf71A91xCR0VeSEtMKVOJI4EVVxArWjdYW14XXHubIQ8HYSsWFWWaKnChK2wqpaeme3Qkejt4q Tt/KHwsjzuBZoZJm4q8TbqMVSSTNJOWl7JwYWaho2nLciFzqaJq1tEura542DW0tUJBg0dphIbAI sNOJ44ixC/KKg/I3EScZaGn0PfU/iWxv/BHhRuLVjVgEdbwYN0WYCwO6zhzypUiElAvsHpB4F6/F PBQNKv8tpLGp04lP+zL1I3iqRIocAkvWYYHwhUKaF8KxsDUl18QwLXghyXhhyEaOwx6tA+liJEmd K/J5EvGMTkuXLVVgy4pKKg2DI266yEmTZ0+HJCC2CIqPCIMBA3it27i03YqQJy5FBauJakqrLGf6 bUFYp1gREhbDKow27c9czMBICUSUQVKleVsoc9DX78mqK7EeLqzKNIvEFxg3Bvu4hVoRQiRTPFOZ RTp1LPSOsOcZ3kdRwUkAJqFy9BqvqG+URnxnMVkWZku+hnyC7Qq3OCoSuX0jEeYHCsaTp0D+PPr0 5JGob+9efYvQgUdcBaN8ORr8qV1Bj75iOkHVwRYbdij/aEcDd90VeEJmJPBmCT3kXXDZZTmc10Jx IxxXHxvN4echTaop5t8JAPoj4IBr3XAggmsMsGBdivwiwoMQbqHAbzdQWKECSQx3QYYXHIdch/rJ ZCQML5BIgon3WIBiT2vBeAGLLiTYnUkzihDBLw/aQ0KOqxA1XhMZDkmkTCCaBgEESCbpAmstNPnN k2v4dBQNVWI4h1xzPKJbFy58Js14vAQ5JIc43OfmCGw6yigJIo6Fk2t12unQlHpONccQRoHBlEZa ivDlCYMSagwSCRQi5AmJ0rAopBdAoIKjbbop6VhLzrnMk71CGaVseX5xJRGd+glqqFCM+oKpp2Lx AEoT/1ZA1DNIMKemaXLUaiSuk8qJmqVf2DJbRMNyihEdoE4iagthLjSemScwMAFdaGA7BzZf5dfC tqh1O6J0+PUKxrgLakocHYF4+ukIyACq0RZSjRftmWjaq9NL1Mx0WL9g/atYwPoNTEQPQhR4MMJr MLLwF8SEpA5eYErFSTwVuxrHvWdkDJALINZq60IxfBwnk26OfMMP5Br41rkYsUzEI3p58fAIzWpD cyQVg3LzGznbxzPY09DRMZvSIPAxyCXGGi4NBWfH9BnCPJ1D1CJZdJEIVi8DrQjj2TwB1wF5zUbY MO2byc9AiwLB2Y3jQPQFuzrGtguYKm3OdgmfMDcOdf8HGmNSessCGJn4Dk7EzjGh0tUyibv+Ouy1 IuBo47MrfofasYpwdIqL4IIykJqTwPkNxPR2dztJlQRYBaXbd/qRqgf0qu4FNQ470bGULcv2fEBJ ICMoF0AsDhARX/xeySrLoF3a8C2CShL+uDrGAKWub/VfOI4CBBI4ukDsAijA13mPFt0TwZ2OEoiD jU94w6MDBZBFqiyxIz7nQMmQJHQtqeRLdR00TP7mUDv+iEAPB1yc4gYYwCdBgIUHjI0CqYSgBqps BXI5H0hANUEakER5MVoDBovhvIuFcHpFpMMI0yY5RvmqV46CoQJhND4axs2GfTpDBJmyQ2Y1oUEU 6cT/meZnCuiVhIxFrB1jlmgkX5HAVz1ooq8KVAALMIGKxXLBFYkwiUdskYvxqSAYgqgzM7rkiMuo 3f5CyEbYkKBWcHykr8gHCBSEI4842GMf/eiC9uHgfVrboCENF0pZLAYBC0Dk2UZ5ggTK0HU7YRsk YylLnljyBciIQCYFtcnMxMxKYBzkKAmpygs0rj/QQSUyU4mCRJaCmYw8gS5M9koXurJ8bXyk0y45 AuOBwV0k0A0gW/DL5wVzmKvoTw0WsABjsrOUqJSAKZMpz3kW05Q4SGBQTCaBAqkQAgJwVBOv+aRa 7mZZj0AWEUTHAqppYgyfJGIRCSDRiVK0oha9KEYz/6rRjXK0oxeFzkVhoc6RrrOY7TwpSo2JzJSi 9Dkmw44dbyECAqJALrxz0PG4+QWF/pFdFxgn6oR5D6GacwUe/ShIj9pRdI60diP1g0MMkFLZvLSq L5VpsHBRzT7BsWGjOug7uomJcDq0KYoiqjbQWlRDYtSpJFXnAfQwEXSiE0MFsKpVFzClWtXSVxSw gBfC5QiEanKswEiASjTzKrUug7FrXatEazfRC/TgrZYlKXQuq1nLCkCd0ryBXH5Go50s4KZLwQFP c+DFxZbzsa4NmmQPYFF1EsAm0JnKlQQgUdpudrNysSwFWqjOrm4zrO0qmhp3iTeIouaDIHwtdEsy wv9B7Jaj/enoAqorUSldbnOeokBpe2tZR4h3s3tIwHIN41jqSU9s0X0vQQ6ATCLcdgRUZEtIq1pT o4C3AfZwXUAHG7EGLIDATLLsF9KLsw8VbiDwfbA/gGAAed6grhWZ0gUsetURXNG/Hv4wiEHcREeE uMQltqyJ/cvQMTK4vfiDMIyX0QNnEnOez5FAAwWwJBZcdDZyoYAEasQvNvVKwBQAspD/89Zv+pR+ y7mfg2Ms5VX8QH/zlO/ZoEiEilJgAAjQcg6IbIEIUAABXgZzQkhKgQQMIAFo1liLRSm4rtC5zna+ M57zrOc987nPfv4zoAMtaD3/oNCGPjSiD6BjBOz/k56Orp0AbhjpG1K60pa+9I8ljelNc7rLcsEw rGgCZSPKgqhCPXVapREA4OGA0YxehZkhtwd4wlMWCEiArJ3c3AaTehWmVjWwg11qaWAYDMU2NrHT pB/nutfXqW6ssIcN7WlLm9rOPuuUs63tba811Nz+NrjD7Rdvi7vc5j43NNaL7nWzW8rkbje8493u d8u73vb+Nr3vre99Pzjf/P43wM3p74ATvODVG7jBE67wJ6t74Q5/eJEgLvGJZ6vhe2C26aqR8dWp CeMlQPg1mh3UarDueanAlnPtbPIx3gvjHteZsos4atSBDeSihMPM3YtzXvescCBPXc7uh3Jeg2hn /zl/rpyPDsql50/p7JUz1KMXdZ7rHOlS33nHwxZ0reOrwVlvr9NPk3SqS521Mic7c7gOcxejXezW KHrN2Z52F5vg5zV/+eFI8fWxy/3pbgj74cweQsAjfedrn/reSZ54ni1ecH3vOdjbHmWNHx7nNje6 5APP3INnvvBRJhzbh/54uEuvzl+je+dLT2rSR130fJ+637tm889vXneEr3qvaY765PCc9XqvvNUV FffHez73un9942nfdWyfnfjC96Dzi8+V5d+8+qA33N+BH5PbW7/uqe9+9KVv/etPP/zPZ3rTZy/7 f+DdXi+h88rtd/mtGP+s2f84yumP/+ToP+j9n//9B5XfYByG+lGcAR5gzCGgAi5gujGgAz4gMEGg BE6gelGgBV7gx2GgBkJgAW6gB95bB36gCMJbCI6gCZ5bCZ6gCoJbCq6gC2ZbC76gDEJYDM6gDUJX Dd6gDhZVDu6gD4ZSD/6gEKbfEBYhtwWhESbhslmcErIc9HDfCCJhE+YdS3xfFDLhFA4fVlihCEph Fjbb31ne+qleEXrhF4od+EGfGo6fEJrhGa4e44VeHJrfCrrhG15D9ukfHJLhENrhHQpgBhpfxkBh F2LhFw6i/SQiHxriw/nhG97f/mlMGHofG/6gI94hJl4cI2YiJwZVJ36i7W0iKI6irpGiKVbcKaZO YmFcoiqmIiu2oim+IiyOoizO4ifWoi1yIi7mIibuIi8+oij+4h8GozCeoS8W4xQeIzIq4aA1ozM+ IzRGozROIzVWozVeIzZmozYGQAgAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0021.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Weaknesses of Single-Value Measure= s
&#= 8226;Expected search length
&#= 8211;Quantization noise requires many more topics
&#= 8226;Mean precision at 10 documents
&= #8211;Some topics don’t have 10 relevant documents
&#= 8226;Mean precision at constant recall
&#= 8211;A specific fraction is rarely the user’s goal
&#= 8226;Mean breakeven point
&#= 8211;Nobody ever searches at the breakeven point
&#= 8226;Mean Average Precision
&#= 8211;Users may care more about precision or recall
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0122.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Systems Ranked by Different Measur= es
Ranked by measure aver= aged over 50 topics
Adapt= ed from a presentation by Ellen Voorhees at the University of Maryland, March= 29, 1999
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0122_image058.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAACC82db2wb533HH/LueH9YUVQoe2hhD0opRXW2FrZVQ/ZMO7YjJXUAB3HEpdOCFaNl xeRCS52kTg3mGVZBZOiGAG2ADGMKA9s0DdkKB6XKvRlWoLVhFhTWDn6xbgG2E1RgL/IiSAwM9LC0 9Z7njs/zkPdIvueeh8dLDLvyr+fn9+funufz/d3D47//pPE2cP67vv/j5O/E0U//8qUYMAFQVhYA MMAB5/8dhr+fSAyCXwcP4X+q8/cvLy5dToELpbmlxeXFV1ZG0N81aE86o6CfPhX/OHl9Pxrh43ga 6M5I/xx3/YH4zGvLK/NXkQ94JPizGAAWSHT8rMKfPx9zRzLJmLE4DMAZ6xfQhn4G7SOdqMHBxOPg I/BPYCNugKldj4s7//sRPN4dOUZGxj/FY+gnN+4/fuiG+y1kAuoZcO7pxauluZGZwsLyyIUZ8MHq k9/4YPWHVz5cXVCtjrhjnriH4yb4hfPTF5zRM/D3Ucu1qeQMvPC5I4cPHZgGR0AOXIR/usfTMZ78 09/8Dxohb2UUT2Vuw8p010LZsxbBx6/Dyt+P845PM0EV+juFrRCydVZo4vChaVShi7tWCDDjimRw O0AGYhW6pYlV6HiCVijVrtDxRLyjQi9+Pg8m96wLGuNOxxhD7THuJNTOKi/Nz02DM+A8vFLCqjB/ BcQqXDLEKvw9g63O9wxUnRKcqg4mb4OzfzQ/UgBnYXU+9+g6m7vU2ewcqR915q+DWJ3HkmJ1XkrS 6ny6XZ2lpNl5Jc/PFcrlkcIKyDsVmgJjYBTWfAo8FVq1xLK5A/6+I5u0kw2yKR3ZfOHYSOFxOGc9 6pq5A57+lPeaQbb+3psG2BkQO6eVFI1+uH1OK6kEc047z2dYZ1IshztgickB2TpzgIv04cOH3DU6 zFXIADfTYufBTrPnwU6jHG7Ci/Ni5jbIL64UyiO/C56B99KUc1c9aia78Jj36kY2pWO8F+fLhTx4 LsTzyV8LsVrPZoLVupPzUI1+nKE12t+u0Y8zeue1X1h4dWTxFTibTcG6fwnW/JkQ5325fO6AVkc+ A+37oJWJdeSD7oDdonfJ+R1ucv6rLnJW2iP9Izg67GUdZOtkneWV3wCHdo3Bm83rw2w2rw93ZjOy 8uiZ+d1hdoZ/d1jpmtvKzkrldw/g8wfPIIlU7Th/hqOJcoTR0d/+D+sm+G9cu0bGds9CBv40xdgM +FP3v8ceE+3rQutDBLt5/Ah69K/EhjMmbxxTJI734+I+kZf347w+349jn/fjXpshFUfdGZM3jvsk jg1NLvcNjdfnhoZ93tK8NkMqjrozJm8ct0gcBUMu94LB67NgYJ8lw2szpOKoO2PyxlEicRxMyuV+ MMnr82AS+xxLem2GVBx1Z0zeOMZIHO8NyOX+3gCvz/cGsM+dAa/NkIqj7ozJG8cOieOttFzub6V5 fb6Vxj5vpr02QyqOujMmbxw3SRwXM3K5X8zw+ryYwT5nM16bIRVH3RmTN45ZEsfAfrnc8b/39zmw H/vct99rM/aIo/8eeTJfiaFIeMnGIBRzLSZOMa5PXqIwCD1ci4nTg+uTdyU3yKp9LSa+ars+eVdQ g6yW12Liq6Xrk3flMsgqdS0mvkq5PnlXDIOsDtdi4quD65N3pjbIrHwtJj4ruz55Z0iDzIbXYuKz oeuTd54wyJxwLbb3nMCroTvjWIfKoxLzPidRuZ4Z/Tm38l3vUr549IdEN1Zi/wC8nRxk6+xGnX/+ 4rHDR8+A3wNXwLPOryBPjXjqonXVpQ6j8j4d0Tj6Ut15fUVh8/qKEnVe3mcSfHnBQUlelxPeJ1iu jea1+Opk4evKafAUzCgHpvuQlfcJQPCsRkw2K2QLnhW8Ch7u3d8Sy8/bs+fNj16NJeZZBLKhZxFj STRrj8cLKysnjhdWLs/B7Cbhr2edPCdhprk+nEFvLzv4GfzLFHsGke2TcQa9vd3g+eWH2PyQ7ZOR n7cXyztf0vz+lekuI1tnd3llYXFyZfWLE5PgFDgNc5wELwSYM3dblzUPv1MG3mtd1tte0JF4XZ5i bBWGpXVSF/84NpwxeeOYAnuxdBCfKHc/fqc+Kb/jjiC1VaTiqDtj8sZxP74X0wfN3U9HUJ9UR+CO ILVVpOKoO2PyxnFL20tbBM3dT89Qn1TP4I4gtVWk4qg7Y/LGUTL20jhBc/fTVdQn1VW4I0htFak4 6s6YvHGMJffSWkFz99N31CfVd7gjSG0VqTjqzpi8cewM7KX5gubupzOpT6ozcUeQ2ipScdSdMXnj uJneS3sGzd1P71KfVO/ijiC1VaTiqDtj8sYxm9lLAwfN3U93U59Ud+P+HLVVJOJYh54r3JxRIUwx HhdnCtcn7/peIWv5eFx8LXd98q6rFbKGjsfF11DXJ+96ViFrF1Q/hpxP3nWkQtaM8bj4muH65J2/ K2SuHo+Lz9WuT955s0LmyPG4+Bzp+uSdrypkbhqPi89Nrk/eeaJC5oTx+N5zgoiu+huoA8bj3v5c UN34RPx/mD3Zri2afk0MZtUMkFXwqtVh1cS6d51Ve0dhq/aOEr3ajsH8mgHyE6ufWJeQdj+fiH8m 4e1+Ilt03U+3bvx5idVNtA9J63bL8PbpkM10dlSjFaMZWZ/OrSB/hmIVFO100jv3P5PsnYtsn4w7 lz8/sfqJ9FFR1c51dE9/rV21cynD032b//pXj+Du2xlYudPgWI92d7KV4s9ErFIiHVlUqV+l2Ur9 Kh1lpfgzEauUSG8XVerYsHenP7J17vS/dGnhyDSszqkQq8MXPQ8VUgXmR4XoSJcKtyRVG1Vg/j6x atuSVG1Ugfn7xKptS1K1UQXm7xOrti1J1UYVmL9PrNq2JFUbVWD+PrFq25JUbVSB+fvEqm1LUrVR BebvE6u2LUnVRhWYv0+s2rZ6rNrWA+qb3TmwGb8BvByIbIgDp0AT3t9lJcrntU0hhYXyusLsikA2 RhccobogjJVhPaAa6M5hltkB4dq6CfMqIcyXQ8tARG+gDL5rsFfXd9sqowlnOHp1zTNX15nQshFh f5TNG0nvk2Nk63xyfPXy8onjK5cnXobxn3BymdyF+3uVh+heBprRWIo9P2MpdH52BppwZo767hfd zUAz3EmzGe6kTefzdk24DkSdoeh+BpphI8POdI1MbzogPKthk5tWm4RWy4ocrTa5abVJaLWsyNFq k5tWm4RWy4ocrTa5abVJaBVe0YacT15abRJaLStytNrkptUmodWyIkerTW5abRJaLStytNrkptUm odWyIkerTW5abRJaLSu9p9WyIkKrw/DfXWcYFdlcRkV39aDaf4ooK6K9f5rXMYXN65iC8rrvzBw0 ryjWprIiuoeXZnhfYzO8r6EMb2lonoo6QzGuLSv7mF28rq3fZF5WxFi2rNxLshncS0aRgVgnuaxk U+y1lW2zK5qno5kVxLq9ZeW1IW8PE9n618N0oxfrwJaVzQ4G/Uw7+s2M1RH9wvzcyptzxUK5fApW H52FffDPKfh7BP4K/il/7ypHidJvlUNHuqvcoCpHoZQo/X1iCh1U5SiUEqW/T0yhg6ochVKi9PeJ KRTefYacT14KRUdin3IUSonS3yem0EFVjkIpUfr7xBQ6qMpRKCVKf5+YQgdVOQqlROnvE1PooNr7 nS6DqhiFptTvM58fQ7Z+dxTRvpaaGu6+lkFVrOuaUp9TvOsAsvVqHRB9NldTw93HMqiKdXhT6ocM HyOby8doBq1Rhin3g2HcaoW7e2VQFdu98rCjbj8z2HvxZ0a0u35qarh7VgZVsT0rnXV7M8nW7c1k 1HULd6/KoCqmMFLqvhR7d+5rKwy0BtfUpxeXJs9OLC29Un4GnAbHYbVegr+Pw18nQ7s7w92vMqiK KZiUup1mq7Xd7rQjeohmLgt3z8qgKqaYUupGxru7B9k8u3vmLl09eszd3YP2j7286/3Yq0r1bv8K 1VV+rIeOdFlvU1KLUV3l7xNrsU1JLUZ1lb9PrMU2JbUY1VX+PrEW25TUYlRX+fvEWmxTUotRXeXv E2uxTUktRnWVv0+sxTYltRjVVf4+sRbblNRiVFf5+8RabFPt/ROBmqAWq6l/Abw6A9mi1BnrAXVG dz4TzJMAZHOfBNTgjJHX+rt2rgfUAd3ZZJk9+cgWxd6bmirW4a+p9wzvXg9ki2qvR00V6/PX1CtJ 9sq60n4fRw3Ol9FcWWJEXlPfYN694dr6/dSiportTHnYkYs1xN4l1lC07+2pCfJsTa0yPItsiGdn IfkP7M9rF+aXzl5aWbh8BV5Xx6FOmgaIbKd70PuvcfNmjfBmXpPjzRo3b9YIb+Y1Od6scfNmjfBm XpPjzRo3b9YIb8I5xZDzycubNcKbeU2ON2vcvFkjvJnX5Hizxs2bNcKbeU2ON2vcvFkjvJnX5Hiz xs2bNcKbea33vf+8JsabM9rXGN5ENsvZgYLu6pbW5s3L88vdvIlW0RMhPQdoaeE+B8hrYjw7o91k PtXq2vq5TqOuRksLt/Of18QYeUb7JvPNQcjW388stbRwO/15TYy+Z7Rpk63OtNnv6oTbz89rYkw/ o32H6eIjW/+fRKIahdu7z2tiSmFG+0GKvYJ+kOr3FRRurz6vifXqZ7TMEHsFZYaiuYLC7dDnNbEd 9nQXI1y5Ml4NjWymo20Qp7SIhp5b7v9n5Vta7zr3VBX5kRo60iW1B5JKiqoif59YST2QVFJUFfn7 xErqgaSSoqrI3ydWUg8klRRVRf4+sZJ6IKmkqCry94mV1ANJJUVVkb9PrKQeSCopqor8fWIl9UBS SVFV5O8TK6kHWu879y1BJdXS3mfeEuTa+t3Bawlqm5Z2iNnjhGyW06tvwTmimui3FlwPyPLd+exL eDvdyBZVp7slqBla2pbh7UAiWzTvy1gPyMbdmfw8yd4jP2f25i+TeyS8a0qMvlva2RR7Ls52veXl q6WlueNnC0efAo+D4zCHZ8FvO3+GlYkYKbe080PsuTg/FMV8JdaZb2k/zbDn4qddO00Kc8uvLU8W yjnnWjrl3OO5nuzKb3HzZIvwZDUhx5Mtbp5sEZ6sJuR4ssXNky3Ck9WEHE+2uHmyRXiympDjyRY3 T7YIT1YTcjzZ4ubJFuHJakKOJ1vcPNkiPFlNyPFki5snW4Qnqwk5nmxx82SL8GQ10XuerCbEeBLe Q8BLL8gWFb1UE2JUWU2w3+KCbExHZuJRT4N7lYMYSVYT/615yRjZLGc3O5p5cnoUZFxNiBFlNbFt sOdk24hiH0s1IcaS1USM+RZ0ZOvv5wqrCbE3lTzsyOP5FHsunk9Fu1uimhCjymriHrNXGtncvdJo Ts/pZGf5cj92lrvZiBFmNfGjDDsH/ygjOwfzrF+UFf3WL3Sku37ldDm+pKzo7xPzZU6X40vKiv4+ MV/mdDm+pKzo7xPzZU6X40vKiv4+MV/mdDm+pKzo7xPzZU6X40vKiv4+MV/mdDm+pKzo7xPzZU6X 40vKiv4+MV/m9N7v/MjpYnx5Ume/NRDZ+s1laLeHrYe72yOni7HrSf0nipcxkK2/z1ptPdydHjld jIpP6omEl4qRLerPxNp6uHs/croYdZ/Um0wfF9mi6R26lQp3H0hOF2P7k/r1JHtlXU9Gf2WFuyck p4t1pU/qv5/yciqy6cyVdXmi88qaDq1O4e4Oyeli6uSk/ss0ewf+Mh3lHRjuHpGcLqZ8Tur3MuwV da9L+ZQuXYXSpzDxuPP5zRPtnSFh1al3O0GoSvIjN3SkS27bksqKqiR/n1hZbUsqK6qS/H1iZbUt qayoSvL3iZXVtqSyoirJ3ydWVtuSyoqqJH+fWFltSyorqpL8fWJltS2prKhK8veJldW2pLKiKsnf J1ZW23rvO/e2oLKy9T9k3uqIbO5bHW14V68ZpAcG+tUDswU1kK2/qHjXTGSLbveBLahXbP0PmLeO u7Z+7z6wBRUEpAWDvbJutt86bsM5LZorS4zybf31JHtlvZ6M8soS429b/zLTw0e2KJ6n2IJsbOv/ lvZqLmSznM69Def0NSOKZ1y2IMHa+hsZ9l55o7232YbrRce9EvhJBM86ZnNzpk04c82Q40ybmzNt wplrhhxn2tycaRPOXDPkONPm5kybcOaaIceZNjdn2oQz1ww5zrS5OdMmnLlmyHGmzc2ZNuHMNUOO M21uzrQJZ64Zcpxpc3OmTThzzeh9B3/NEPuum4cAf2PfDeP7zF4RZNM9K+nK6hcn8Eo6CV4I/Q1o G/GsGW5nf80Qo9obxqzCVmxWiWJ3DepvZM1we/xrhhgz3zBSCS+jIVt039WXNcPt7q8ZYmx+w7AN tlK2Ib8bVbxS4Xb31wwx7of3GfPmFmRz39yCVq+s2V8V41Yr3N7+miGmLW4Yn055uRzZLOddjWjd zZr9/4Q+qle4Pf41Q0zH3DC0IXZm14aim9nD7fCvGaKfAqX0kB729kVc2yfh+36zZu86/1Rd+REf OtIlvlFTTpFRdeXvEyuyUVNOkVF15e8TK7JRU06RUXXl7xMrslFTTpFRdeXvEyuyUVNOkVF15e8T K7JRU06RUXXl7xMrslFTTpFRdeXvEyuyUVNOkVF15e8TK7JRs/ed/yCqpXPtyZp/ArwMiGyG0/nP wru6YYq9K0y0exZEV3RnclFhM7moRPc5tyDc353JZxNsJp9NRMPl6wG5vDuTJ5jvZnJt/X5+EYSV uzN4O8mei7eTUZ4LMSrPmr/FUDmyRf2e1iC02Z3PY0PsmXlsKMozI9b3z5rfYfr+yOb2/bNwtWiY 4u8F5VnFsiYvZaIj3VWsIUmZWZOXMtGR2KccZWZNXspER2KfcpSZNXkpEx2JfcpRZtbkpUx0JPYp R5lZk5cy0ZHYpxxlZk1eykRHYp9ylJk1eSkTHYl9ylFm1uSlTHQk9tn7vn9DkDLvmjWGMpEtqk7j RrxohdvlbwhS7F1zjHn7OLK5bx9Hc1HR6n+nsWiF2+tvCJLyXXMgwV5XA4nodscWrXB7/Q1BEr9r /rXhpT9ks5x9OGjuL1pR9GSLVrgd/4Yg998180n2Psy3O/5o3Wrfh0eXli4zezGmQ6tWuB3/hqC2 uGu+lGLvw5dS0T1JKlrh9vobgqrlrtlKs/dhKx3150SKVrg9/4agNrpr/hezqx/ZOp+NnFt6tfza 0WMTz8E77ylYoVMhfjNT0epdb7/BrboaRHWVLDnV1eBWXQ2iukqWnOpqcKuuBlFdJUtOdTW4VVeD qK6SJae6Gtyqq0FUV8mSU10NbtXVIKqrZMmprga36moQ1VWy5FRXg1t1NYjqKllyqqvBrboaRHWV rN739oNolc65s2h9k9nVj2zurv4ivKuTydLiamHua8VXj0A6Pg1egGvMSTh/ToW4YzmIlujO5l3m Pfaurd+95CCM353Bjsaej532N8wW4eyTTPZ/L3wQAu/O5jajKJAt6n5yEEbuzof9PlZki+KtT0Ho tTuH88ynapEtqjdwBaHK7jwODLF5HBiK4tPB6wGoj83j2xn2Hvl2xnI6+0W4ViSTMqqbZxUrWryU iY50V7FkUpwyDfiL/ns/n+hI7HOKsWX2iKP/Hvky33DG5I1jisQhx9dFi5fp0ZHyPt168/pER2Kf 9+NeW0YqjrozJm8c90kcctqiaPHqGXSkvE+33rw+0ZHY5y3Na8tIxVF3xuSN4xaJQ05XFS1eLYeO lPfp1pvXJzoS+ywZXltGKo66MyZvHCUSh5ymLFq8OhYdKe/TrTevT3Qk9jmW9NoyUnHUnTF54xgj ccjp6aLFq+HRkfI+3Xrz+kRHYp87A15bRiqOujMmbxw7JA65XkLR4u1foCPlfbr15vWJjsQ+b6a9 toxUHHVnTN44bpI45PooRYu3d4OOlPfp1pvXJzoS+5zNeG0ZqTjqzpi8ccySOPbuIfHVm7dvhY6U 9+nWm9cnOhL73Lffa8vsEUf/PWKN5yqtA/D3x/H/feh6+JajyNQz4NzTi1dLcyMzhYXlkQsz4IPV J7/xweoPr3y4+reqBY+xSOzdyrBzzFveMR/Ll67OL488P7868uLi1cICwGNudI2pd4zkWgBQnJH+ HyAORV7+3AAA ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0122_image059.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhAQISAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAYAAQDy Af0AgwAAAAAAAAEAAAAA/wD/AAD///8AAP8A/////wECAwECAwECAwECAwECAwECAwECAwT/cMhJ q7046827/2AojmRpnmiqrmzrvhMiz3Rt33iu18Pu/8BdL0gs/obGpFKGXDqDzadUF51abdWrVqLt zrJeKTj8HJOV5rMxrSay21D4lCt3vutUfFm/vPOxf0l+gTSDhAh0UgE+i4JTAkGQa4dFhoSWRJKS fX+acWSbRaFfXaM/AqY8hgGsNY0Ir7CtMrGfkag0oai6uDKpQkC7OcJkZr8+xHM4yUqedrfHkb62 ubvM0jXXNqnGvcGiR6u0NI2zsDPljpnT7Aibzu7t1Drw2fJb9M33nDf1Rv7LcvgBCC4eEGM7opki OINbPoOnCgoRd24cuosWK7opyBDeu0rf//YZjPYsIMmAEPf0a7iEoT0cA1m2FAnz4TCbMlO+5GHz JM2bPhIBSZdR46ujk9aNRPnxZ82IIp1B6sXMW9CbHn1ZlemJ6tatpFayu2aVGEFh1hyGhFiVV1Of THCatdaQ6jauZW8glIfWndR+XrWpKkJUo1GMhg9yvJesqc6rUB8v9RvvrdNCTNtNzclVa+WcBMF8 dPx38kLNArFNNj22s2KgbDmXzsWStN6ene1uvos66CpzhpFmrHVElLdfWS8DOjU3cO7WIAEfZ71t +ufYeaTPHmVZp+2nzK37+w4XEe7e2Bea5Xt7WOPatcFil4yFIrn7wxHPQ7bz5ff9JsHGl/91G/HW mibyeVeNLsCs9E5etEHHHWipfeMWZ/O5tBxKGVL42G5+TbihgxFeVxmIHtI3GBHExSLcYdGpxh50 873GH30iouZYg/39d1qJ6WEYl1jJjeZajjvyFJJtRvZW3l4dOslbcpLtxSR8H6ZIhX2IsXIUcMRB JqN3ZUEIoFiS5ajVg08aiF6IaDJW5i+i4XXhmtept9sxMWl23J97KhcWh3DKhguKTpqJGWxsUjZN koUKKtQSYd5QKY8zKVUgJTZyiqmnFYKanaijkqoXJjZc6oo6TpQnqJKmghcrrLMuWquttw6aKyKo psoIGo+M2emuvepRLB7H1pGssrt+sWz/G89C26yuuUarhrVnYJvttLxOq20Y34LLbbhdkIvPuOOa a4W663Jrnrfowhtvq3BMWiu7ysxLrL43BnvmrKgemmBCUOCrUrMGi8EvPXRlM/DB/XI354JChoqw agw6TNKTCfNz8cL3Chuhq/9OmfFqRZZs6h1l7qMhx/J+HPO+axEpbmQpdYdyxe3NTDCeWf4Es8w0 +3xrTPL95Vxdwwp4cspvllp0vxED/Wq3RFfrbsceIwOQVJt15xPLQOpMJVxcd/1zZCBCKlDaSWWt tdGMVmfZbE0T+rSUUVs89dpe25VzwXQDvDXIVDNG8dVDUr13kH3L+jdOBDcK5ESFxwo3/6uTTymk mk2qiKtcJUJdo9Rz4/zz2YTLHTLimkecdH+RCtbz2m3dabXoo6ee0MOl7z5054bDvrLxtEvRJvKi 2lu8669DH3vN/hbHPKjOTy+99sRznzi9KpO6eSXjh4/94Zkfn776CMPg/vvwxy///PTXb//9+Odf wfrNo7+9+Nc7n7fKl7fn/a9//BNgAj2VPfZ1z3tHCyCnCGg+BprBABiUgQFqsEENYrCDHszgDETo wU/Z4IMIAKEGafBBFbZwhC5UoeSKUIAaFOCGODxXEmpIAxzm8ArHIgABaCBEIgxRTDvsoQ952K4l MFEGS3yiwqZwgCpakQgH8M0OQEjCFP+ucIRg5OAXOyhDWuGAjC4M4xe9yMIxrnGGRJBiD8vlxBzI EWI4OKIM9IiAI/pxj3m0AR/9RkMc3LEkSjgkAhQJLB1ksQiPfOQOqqhFHXCRjV4sIxrTiMk3juiM K7xkJ8dIQjKKEXVxNKQXenVIRjZSB3yMJSD7OEtB2hKJRrijKzmXS1XS0ZGQnIEkc5DFYcIkDZdM 5gndyEw13g6UmQyjJplpyjaicgc3hKI25wjFbDJxl5/0QTYXuc0ZfNOb5owbEYsoRD8WcZZ6fOce 2SnPds7AnuHE5jfLSU5zopOf1gvCOPspxXPWcJ8xusEVEVBMYRqToTJYaCQjStGH1mf/i9IM5TKt yUYultGMN6imSDeaUUx2EY464OFB+5nObaqUpZv6wUtXyk2CahOc4fwjLe9ZA3zq9Kc83alOQZpS l8L0iS8lJ057V1SbFrSlM+WlDSRJyYZCVJg0oCpFITpRzFlSjRsMa0nB2sxrWlOZJvXkSEdJSGze dKDlTCpMYyrOtz7VqADdD1CDSsSg7jWe8DTrDZL6Q37KdalMtaNL4crSw74SB1rl6lYne1WuNtSK C30bRt8oQo+utaOeROlZWSjKFHaWmqEVrS9XelebKlWqTWWtDaF6U6nutZZ8/WstdZtPxTq1pq6l KV3d+tuaEnauBcTqVq06zOZitao1/7Dois54Wo620LMc9OxHqXXCDMowhigMIWlheNLepvS4APUm QoerT7zOVb0tZS87d4pb+s5znbSMZT0Hyd324lWO8M2rCf3r2vcedL0qi2wknZvVBldWuVvqwnYR eYUJq813GI7gAhmYLi9YGLZS+LA6HwjADVOCgsldGYoHbEASI/CACoSxBU18iBXjUsMynqD/iGXj trY4w9FzcYyFPOMcn3jHQP5xkIk8QVbacIlAdAJSoRxlS1YXrOENoUeze+MiyLOP/M1BmJ+ZSiX6 UIctSYs+fGychklEtQLiHeOm20tfNjGRdr5zDrY81rSOtqxkviVueSvo+rK5rnnOF/+hVHcLwZJM zoBhMeDkDLwI43mwv7z0bDO9ZzCi9aylDO2H2SBLvwb2BoMcs3kRbQPEpthVj74cUXkWZ03BedE+ iTUTDDFOucb1n8iVtCERilQzNzah0IymRk+51mmi0p4+redu4/nOaOs3zLxGb3x/iOCA2s1EjjJU ok4WaKC17UfhHo2iyv07y4Eb0scss2yNa1RXvwsIxy02bV+L7JCWVKyn/Pd4TXhb+4IZqEO97VAT u1p+bzuuwRY2gqgzuKWYzdFMC5SHmkSlW9vMNCjSNdbwbddNF9je95bpYvXtXpSzobRiFeV3myni xpnavvwFbH53e2qDz7rhhYX4UUH/LCEa6a7ibuvvxlfDlq+4hneYKA3eRN5ATL+2tfkeMXGjGt/g Rlywa4xh2Kv72Zqn/NSl7mtgE97zhSsd6O/dt8NLJvU3Ke3p0YBSV2a0s+0IGyh1r7ggst3yJy+y 210+774BfOCuezukVx57lrNsWtKWl6jzTXt99yvUe375ywwfduGV6HBXW8lPnysSoA4tNnKnOz7u ZjfD3O2RSsfbyDX28M1wf4lAkAxuj+6xZnkfiG+Znb1KTn4bfu97rd9L+LIvMY17P/3qpfgMwe8w 8f8AfY9zuPrcR/LRuv9zBzL5yODnA/lXLb71v938SYbgknG8ffUHUb9BUHXoC4Uk/7I0xvXRRzlp IXLetwwSIzIBuGjV4DCUw34+8Hn6V2iH9gOgB3qwlGLhNXNaZnliB0OVdIF81Xki2FMSeGsPMjJl 4x+e8XcNSGsX5iYXlyZuAna1ZnQ04oJnh2pqh3aGZmgRaHNitoNs53M+94NASFJdVE1ht1GfdXsg OGg8WIJGyAahgyhNF4M0WIPw1m8wiHdRMYMTqIVQg263pnmERoJoyII4d3MjuIMhCHafBnCgxkka OHzr5E54yIb7NUT4dHB36IBVGDTUkXT7Vx03eIUnEm5N0xzmNiB1MRWrt4LsBomO8n9ThyCxF2jQ Vm3SRl8QyId76HnYhmqcmIdtGP+KfZiKFniEASeHcihwgDZqUTCEm1dtgKRwPOdzVHgkgsiLyjEI e4ckj0KJzIeCfFc7j2KDFPdzApMnLiMefENIBZdqtiiCQ1hw3EWLONeJfNh2Uch+MrdsHLWEJiVi k6KNOWdquOiJYXglOuOLcgaMwyiMzriFQNhxoJOMOzMSAzMGd9d0PaKMJFEF0yhovKVzbgdS6JiG nbeOCVl+fhZN4WhdgGaH3viG7LhzI3iNgChuiFh0p5OAz0GPGleMXoghGVOSvkgngKeP+QiPGpKD BZmGB3lzD0mQubh5ateNG/mNEFlalVeOZVeRTuh5p8iQYGaUPDlP+Md+61E6bhb/KekGPIYgOEnS jEz3eJRRDwD4J+D2f2wmdUvzjIYykKSokTqJX0q5jdQGR/O1hhjJeUvph/elWhnYii8kXgNnWpdX CO7Hik9AgAWoY+lnLBJEmBUGLn+Zg9anaPVnmIWJLOIXYqu0mIvJmPOXmcoHf/RXLZZ5mOj3mJIZ maPZPqQpB5eJmfK3mdInmsrymaeJmqBJfa7JLAMUm9Iym8Wnm+HHm/bXKgdIPYN5lkaZf1rpZdRo nMepOgPIaW/WnGiWBC2DgBAZZydBgNqiJh93KlVzkqlAhmFohj7phj3ogHDZk0SYjsv5PThIdOxp j9cneIOogGOzZjhoe2GIM9rp/zlFySEp+XSyVp87IJ7WGEhI6XFpx5FSGJ8KOGcM2qCCaYIpuIwB up6Tdp0UlimK8xB8UgWM+B450yiWyDSaSE+muJHXRpcq2odMZW1M2XNJ+aKqSG1jBox485HE6Co2 CqCWk6PshRZjWXsUM6KSWJ0GSHvy6Xwh16NfcSgheqN+qYJRA6IqCZJqsZNQ+IcFip7YeIQLKYrq eJFdCpg2gyitt5XI93EhdyTEOFxTpzFWyjehsWZiGZI/qpIdZ3FV6hKTwjoBWY+tx5JouHDquaUK qn84mZFpuXZiWp7vp4JksZKM0yeYGDzzuR9vuhOBF6jDKan7+Fhs+jV/uqkW+f+pZLh3+wilMgmj hVqTUTiKgxqCqYalDgmjhTiSmhqnFcQajxN4i3iD6EaqumqkagqS8ElUdZenqCqs3MmAymqInrGk J1iiaGlwybmWKVqX+fSWBKqWSTmXqpifJKqsYXOIakiiFOqkqtpW6no5wRmtT4quxPptVgM2VLed Xpl6RleuKlJ1L3Z+oQmwtCmwA+uZuHktk8ma/xp/q6k5sFmbsnmw2yKxE2uaEJubFLt7BNubGVuZ HeucDNuaIbuwI4s9D7uxHIuykHmxGMtj7bahIeIW04qD2Zk8/GmeDMOAwmmXkSeU4NWBJSRsd2ld lMeXfBa0qGQ7j1gVi8Mc82r/gDrLaJ2qhVC7JnSyi0XKlSiJelnoODYrpR0pG9FYoRZajn9Gjn+m hHB2tKDlTBrYhGQWk+6qJTWItTPyjp+TN7FWHuvqLFUTOnbCo+cKOPt5s9VJbqZDtolHVp8mTUmo Vn8Xh2yFXbFoQiQzIeDZoHaLdACat8e5t/+wO3Tmn7HxI74KdQGStQIjMfxarzSRBUBaqcAqopGo iD/pabjLbORYh2ubu8pGkW3Lu8+kHo84t7ywOLGbT8mLjCFavERqu72zHseLJ0yLlfA4umjyj3PL dGYZaXu6oW2aqjOUqcV7IAJprmS6u+LoTH7Gtr2LWs6Wth74KSKCqmQCFhyX/5VHSL6uC6ieqrwZ Z771uJXnBoa71p2fgbf8W25dQSAwe6n6u7/A2oX+KyH9uFlp5YqQi1plC3O/q7YcbHZRUL8PrL87 AoA5uMCc63f8yCfZW3T/Oaxf6681Ijj8Z6yoW6YybHHGyhAeOsGjSnGnu39AeWVDO5EijMEdSLnB S5TDiyXjkYL/kaQSzL0UXKUQjKySuqz/i74jd6Qwq2bCc3S9BTYLSJYog8XI2roKErXtWr7Q+35D i2WTd1KlVLSrNseSl4R8TF6jRq+vt7WBK7YVA7tsvJ9eKa3yqsX7Oq4QYq+y26xaEKFPm3u+mWzR SZmrdMkr67JeQMmPSrKdOf8Fx7erQVDKD4qYLJstJ1uyQzbKmtmwstx+H5vJsKywrxzLs9w8rXzL uPx9q1wMCeuwtVxlxaxnrqzKKossvazLnPnLyuzLu2yyn/y1nRvKv3PGOwuITlo2uTOzkBYw7qHN DXqrObvIkza1AxKVjgl5IKxdHDi/8syuc4bC6XzAyrO9LRmAiIvDipuFE6clVzkWAhq6xRqS3Us6 XfzP4honsjZFX4W0bYu2NJdaTCW3f/rQGk3D+mnNXry5MdwRBmye9iuqzEuI5jzSvpq5hzuh68rS OOvQDlq2Gey7jjuR4xhoGI0lvSjT+GwP08t/TXrIVglHy0ul8rq8tSOoqwP/OcbIwpLmo0u9HbRH ldIh1GbDpFU9mNBYlomIn+m7hI0bwqJmuYmoulUYied2td4rwAP91TvMXQv8lCvtz2Gtq+AJ1WbV jGrciFGS0NfLum69dBFMqfp4twRsjy8ncPHLwRI9vmjad1Z7kmjqw7BL0CZNyMwKUiosNucrlbea FYkrxOv5j+Ds1HgbTp39HH8tuthswf1cwfHpwRo8SkOpleHLtN65dJZ90BrXxt8bwSkMxJZa1xR6 19xLGkX9qXs92BNqqpfxw1acqwPs2VWCDfa7wl58a0WshEdc0Y9X1H7aw6zN1jebr2gspL+9xl9J Oy2jyEVaiH3hzc87lSfh/4+wLTxRG69Je8jufYJcid5P29XEu9zXp8c+y8RBuYFSc6YCrd/5LcnJ HLBXAMopTeHSLLKkrLEGG8wcXuEg68yiDM1EgMo0Tc0evsmcbJspHuIijuLLzOItbsskbsnHPAfN XOM2HuMRO+M0Tsw+jswTvuNDXrBFXnzRUrjw2SsyC9ap7N7v+eSCfM/X95Sg8c3kfN/2qRz3+rKg g+VZe+Kw1JQUeBDF4nrIwYXbbOGvPYMbg53S6dHxnaZXbox9Y8aDC+Xn7J54YalTStA0TaBjaq1m Dj4l3J6V/NBs3uZ63oKmPOWOTtOBaLqP3J7irNGYvrgomNqRnKdl6IZnSP+eRvjFSzqkQ/2VAn4N O0rccCLVUg7H72HPrz7VPD3Tdz3p/ImFDQ2nrivrms7aJjysBQ2mdJmK00bsLkrsdNbNm62nl+rD 2H3YKxy+s/7sbZOhS2LBVBw+np3XlL3rTw3oKK2GzQ7ckfNJX4rst5iLCrrsmA3pnAtyQd3m9urS x921uU7eL3gjm93l55HAnavr6iys4w7QOjK2pI1L6Z5b656R2nhRnnqjXJzFOmHY7V3ek0qnwo7t UNHv++7nlVi+pqPlcf7siO5xAX7lzDrs6OmDYerw7C7hQoquxJvGM6sNq37cWLnTyH3V/RvJzhc4 sO4nupYGVk70tSuJStv/84CM1KDN7d1clkmf9DPEraLeU22ZcBDYny8OzEHezo0J9l3/ZkL+fDcO 0V+P9iD+48+cz2xPy2mPR0eesnOvfsOsYmcv9xk+4tPs9TxeLzne936/97ms40Zu9nHP8WOP4YtP 5HVvLIHf9oLP+IZP94/PzFses07+67ZGEyZp0JGGzpnO9O7BztSpmswpxmIPnCMt+oz+36av96Wg +qPP0T5t6+Ce0Tzz+WQf8a3/do+maw9z5lTL56OflQrxE0xe/KC6fOXstyX/+81vazDN+53v+3Ku mpdr6CJZzotuLVqLoeqMIx+Ofcxv+ysYxdSb2PNQwM576qh+82CB39ZL/6QzX98oJb3ofPOw59GW YOAQgJCQU1CL6+Z7dOnSpvAqNXOj0FQFpe99U2wkT9JsZS6WRRwOlXEFb7KBjxdirjjD3Mq59Dyd NebNhrVos1hbdSb1llW0b4XLUz7V12x8PV0fQW0q2H7UU1/4tDS6wAyukZ0OwJ+mPSgyHT+xGUYz xjBHtaWkSC+gok5Cvzawli23IkMjRJjFsjnTQEzNVlA7FtjKMMlIUlxDXSrFOblT2eFZzt7T2jpR nr6zzJrDTD5NRRA9X8pm5OpB1+LY8epd8fBPa7PuRNo+akJw+D9Owcbv9EhhYvVU2/Vg9bQtexdH 3zNuBBXGuybQXyMylf8CoioRzWDFeKWm6cL20JOni6XOADP36Vc+kU12gGxXrwvAaCJIshkD79DN clrosOzhEo26Ny/Z0Xx25RaqlEGHVtjk0unTnlClPsU21Sq9qz6dVs3adV/XrFzBXhUrcKyHsme3 qmWblq1Lt2BnYn0L9mtduHjHxl0yd2pTvVb5BqZL+K/hfM4QS727GIljxnLrAobMaXDly5grr91c L7Pjz6A7ew5tuLTp0Z5TH1w9sTXR17Bj3zkduLbt2bJzl9yN4Lbe38B7J8pMcuXcmVyB4Co0ksUb v8GZJ3ZdMyT0mxqXPXY6fRJUrgbEIzDAoXwF8ePRp1+/Qb1uIz9kQoH/zitMcfkWaf3Bn43cHgB5 K2YeAsWhr7Cn5rkoJ9YQwiiUA9eJLsHtxohsifPeIw899zjscEMQz+OOomTSidC/O6ACxp8T56LM LBQ96iC5PCiRSCdZGGxJKgUD9BG+GaURcsAcf2SKQuqCBI+KDEEMsYMM32vywxF1rHHIClHcUasY Gcqyh466oEEjj46Kb8vvpriRRTkmdAGnIFj6yBbt6ovKwRywxAedBdG0z0wbjfRGhiZFnPLDKQ+V QEQEL8nORIjsXG4V3xbRYSNJ27STCDY6eoTPTIFaqtK+yLnkHO/urCiVY2KR5z8/lQznVBJ7TLG7 /yDps0FCF/X1SfOC/wWWPEYbPSdPg2TqsqBbs/n0oVDpG9W3MJkJyiR+bhSQRGSLBFXQUb74CdJa xYVT1e+sUbMZaN3kUkagOOPh0PLo/dXDRHm9J95/AqzDVlbSTOhBfqTdlalqmc0pR2/R7fJaPn5i 1Upz2GwVHTb33bYcOM3M+OAjceXz4rwwvJdYD4nNF9hiq1Q3W5iPURCYhAdeeM9+GhIYx/i2mJnS kOVTM1llewbU5VcgjjSj584MWOjrTiBTP05d/nNTV4CuDgT2imU0PSk1DFvDZjddidw2DwSY1Icx rXppol0M7q25BaVquFit8ktevNkGq2Wy+t44thd7q9vukgX3W7K9FP9fvCvAD3P8cLUK343yszDP fHLOFde8cc8/D6tzz0nvW/TRTcfb8txQD1z14VwXDPbYJ5f9QsFvlzx32i93/HHDdb+79N5bL342 4ZcMvSh2sXNOP57yvpLiJBUbi9ZWSJobEeRcVCtVN7R/i3stgdQbfKXL3s8hK7ZSTul/dYSGRiSp JzhxveUv9Ue3/Io/e/NxKWoIEZ8AAWilvfXPD//bGYKCtDclNUxn7ngZkbgFsv7YD2SDmkqL9lfA rgzDfwGE0QAtZbWsiFBWJETSEEaIwhWWKGek2R+ybLgnhnkvQVMLFATVpyceygkNj9LW06xgkzE1 rYfkg+G6HsWT5dD/yYUwxJrbQHI2InJwJN9IItWciL0fhk8kl4oT0bDGnxpOrELeop/IWLQu3LVP jWoTF8YO9hVMvApHOdTiquy4r08BBIQNHAjGrrhBI6LKEgWTGoR0eEKdiAlAh+xWMN5HDDhqrHlU /KCpNGi+X3SjRxlbCh5xBgt4TSuR+KAkg2zCkEE+DCY4ZOTWysWvP5LMgeHz5EtuVskJpqtj0WKl /fpDyk82cRwXQ+a3BCQzWt7wY6AcGLSsJUhOwsQYPQwFFT8GTWroMoxv6mWyKKJK1pXRJEV7my+j 57CrqcJcyosgxM4GPU2BY5xyMuO1CGQUrQEva/hsn4RqMc4q9hMj//9MINQcWVAk7pGFUtgmPwsq yU6dxYeWOR7y0tWa5PGtfJ2p1mtCCpe6bdR6p/tdY1ZzUtXgaTQlBantiMe73qlUODf9KEnXlxqY WiaoK11dSztq0qMidXk4ZWpTi8rTp0I1dkO1peGMKlWrYjWrucPDO4/YSqdZaHALnI+KWDi9QgRU pO10Fjt9BsFVnGY+OsVgX8aVtrcq0W6/AWP1rOZV5yQlrM4izrEWiLYXwjOZfi3KWWv4pd1187EF euy2dEpXXyKUY6/8JQ7dZdYFrUikqkQbLmOIMMjKdGif5IhM0SqyXZaQscNbLKR0kVjFIm62rs0t xyq4ToZVtYR9rf9t0BC5wtUikmZKcNQWb+YzSV3qPlAbGhMXysW1rTIPRQIUYKvU3ITqyZ1dfKcw hki1iPkWimedYqBqKU50Vddjx4FG1ei7JfD2jJzQIy+lKINKLGXntglhR1WmMbJyBTeb9ZRmNGkL yAA/r54Ky+1z4IXNXLCXlsS9MNJexcw6NnOQALaRgJdlMzChBGb9GnC/+mTgcmaRxcZ8l34z8mAS a0xbDPRRSb95Ru5qGJMzvOVeUXVXc97SbfczYo6Zww4eLxdbJKMjkV28sWbO2Ibw1a6D6stGvrU3 QlUOMsV8nKtTgqqNFPSn2dDMQYvFrJfWnK56V0xmnF0ZLUeEX2n/u1ta4zJYieB1BA81K9ZvQcK7 HtbrzIDb2R6zedAXdeF9YxuqzQrxXIsOV3oJBl2m2dO/fP60n90M6T071TAqpSpRa+cYnaa0clfl qlb1wmpasxTWa03h5pL60lY79nv407WqAxPrX7/Upsb2XbJn6myfQnsz6SSctKdtbcgEW9jKXmqx vf3tVzPbeNgGjbYv7VFyL8bc5652uhFD7XocQN7zjncfD5uf9KW2yz4pK2zZncJ+6/txi07rmNWa b76e9rhj/Sn8ZvJZlxSAAwWgeMX3wpUDOCXjCNj4EuRt79cqObQg1+1uZ/RIwohWN6SF9IkULlBe JEblHAWtoCUL//F6SPwFOrcLxl3S8Y7LIONBP3TD5/zyQAsc6SHvrUaNHujL7lfpNOugzHsq3Hvb fE1YpwLPJ165qtCb42OXwMc5sHGxo73saye69B6xZEo27Ypq9dT8sJcUijJWOV0UgjTuad9B3fZo 4aR0f1sr9ftC8bxmO9q+3874Mqni4HyhuAR07nUE8Nzimnefxyvw8aGv/fMbALroQ092bz5LspxK JcktnGFYeomTzDJFchX8XZur7Z0FGcoo4PBHz+aSf/nRlTVZ7yWc8+DymWf+BjjffIljXh8+Nz3Z g3790YOe4/M2+6XnmO9trh7LxXTxemV/7vo+aCfYMu0uaLXJ1f9H2VhRGPMaTVWnCsd4G9rkegeW b3Hnq4DlszzwoD7rO8DRS8Cx0z7SA7nvU7E3QzlZobDg6jDNojB+MZj2M67w2z/kAzSoq6ZuEjEI cbtySjIEMzJO+L/mE0AXhL4WpCEeKD3rw74GTMC2a7v8y5olCwndk8CFODBXMpi5WzPCioi3gTs5 2iDf2zRTkydUC8FIsqeTO6U6Ka8Dmq9R+sH+878BfD4BjD4wFCpbQ7ddI7b8aQt3Q401JAx4q6ky rAtkC6HJaEPcsEPgWDfpMcPFmMNeoxs8xAs9LDqQGkSG47Y4VCpx40NwC55EhMNHRMRGbLZIBCpD TLqtWsR200T/ReTEQpSlmCuuF9Mo4rooQryKuRqpPUSrVLSLYws4vRu22eq9lINFRAoN7vEhCLIc lotC5DhFu4E/UGw6WVw6mMs6pUNDvJi5f0NG9MmzQ2QcpRMLypKgUqSNYSwVD+KtY3QjqXu62zEO kmM6zNo2VHy6fZOtZxS/cLy6VSy/WsqSXeyqKHC49rKvxWMrmIs7vsusLVuFWGqrONEVnsk0DeKL lPiZHtSXk4M7gsy7hUGyvHGiLVK834NCqrMrK3pIGzs+LfoIvvuXoyjCfEMtMUKwjbg9RRvFnSmk MpEY9Go63uOlSUozc1SjJEsumhMYOruhnGRCC9GjTQokaDq0/5ncr7sTv4qRs1PTI+BLsZPsQc6a JQx0vDezSQs0Svcaoz47P2DkQXIRQmUkP3wSSy0DQkEQLB37sUjzMrihSN8qoqWMlycTQVfRHt+z B1EpsjxiybZ5rxLkMkw8JxRMSq98xwQLS5MbP2CKS8d0JsWivRG0SwnqRgrUH8CEM6b8JaecplSL S7Mks78LJYSKOy8STYn6N0WTylNTCqBkH1hZFYIzSqMIL7DyI7QcKCqEqHxix+2qxyRsTdy0peID Qe2QL72CykksuTukQ0CsRGQEHU+UITXstqgyRnWTxuqczuiUzuX0t1mzznDDznfTzvDkTqbzCjws R1dzRPSMNv/ohM/v3MT3nLZLTEf6nM9OvE7+7E/31E9IrE/NiM9rC8TJuM9u3E//pEQAlcQGtcRX ZCe/AoRFa8W4SQYbSKl1pDvzZEaGJDgLza+QQx0LPchi1KBS0kgPNY5bSKB2VMWS6EUP3JvD605Q fLi64hEIJM/4WjgUVMos0Z0WW7BQrEm3ZDeXAx/jy6hVQ0d6lC2fRJwadc57dNKqcyV31EwD0km4 QkzzNNE/NNID0so+2dDBKizmGUgRGk217NHCGyU6ca5JqTOBnKckJDwgkw35qshcvEh8dC73q8Lw ci87BUk6tQ417Qc2nZZ92LR+PD4iSlE8GUm9hDDEobajJCf/w3Q5KdywIQTIIdEny1om/muOG9NT oZzMeiTBwnAyulS8UG3MwfSk2hu52JzID2PKA8uyVZRQOOhL8BMFGPNJLCq1w5xLB4saw/zRWWVL kbvVsiFNEzpLO2Uyv3FVxcRS0NxDOrvH0QRSgZJWMCIxzxwcDQS8LctS5TyxK5vRFXNTYKrLCPvR KVUkIvsyaMWvo4MwVtUR5orVAaKszuqGYW0XzJyh3IwzutxXSWWz36oyaESjxooI87vN4vwr/INT 7HrCCktI9Lqr15NQffU09RPUVxi0UQPUv2tX52nXuLKrKbQodHXNhNUUY93NkL0jFWU/ZjLU6bue 7VxO9jzP/wd9ti9VTwNdTEs62tQRt6H1NQHNNqZt2qhNzwKc2tmxtaf1zgUdtzAl2qKFUsFAUARN UAXNxK5lxLQlHLJN2ues2uwk0AKtNbgtT7cF2/Fc2/ycqia1uq+MoRLNWlJjHos9OCaTNcZq2Dr1 BYtE2eSzUYfjxmjkt9PaxQ5VVySg0BOFG2KUXOYkTh9lWeVqRlYUOMXVkntyNMJ8TfB81mucVXRU VZPDxR1NxnVdRnkk3Szd2hj1Ny5Nz9rQ2DHt1Qi7O4+NxfrROlEaR9DC08WiXW3l0c9Eig0jr0qF r8GAyUc70/k7TUcDNdaTrjDa0/qwSGnSXjJN10091QB6PP985KP3HUeL8tn7+SJeIV8h6NPzbbS4 0lxSOspd5aa/LaRt/dxOjb24abFBoMUq7Ne0FD4k9dTclYjcFJPfgzLtrUzY5b9UbSS5VJWL9UxS gGC89A9WuWBqLchdQUiV2L/kJCps5cwbTRLNVeHp4Kxy3WAitLLYrOAH9EeEjViZjEdsXdJordYb dt3jwMYHeuAFpkwB9tJicmHb7VR98sBSZVZMZFUAc+Ah7qc/mxUw/UthDGJwvSQFmyZR1VOGNZB9 9dcaTl2a9Zj7q1ey8srV9EPG49iIgdi2PJYlDq3IW2MsQ7IWlTFD86a7PBPwlTHanMrMEqyFxD2S dSeTTRtrUeOItpXbAa1b6Y0pTeTd16HbsJ1bT3bDzaXatRVlwT2dTT5lVOZk0YhDVo6s1XnlUjZl vQ3QXeblqUoCYA5mYR5mYi5mYz5mZE5mZV5mZm5mZ35maI5maZ5maq5ma75mbM5mbd5mbk6CCAAA Ow== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0123.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Correlations Between Rankings
Kendall’s t computed between pairs of rankings =
Adapt= ed from a presentation by Ellen Voorhees at the University of Maryland, March= 29, 1999
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0123_image060.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAACC8VcXWwbWRW+M3M9M3Gc9bqukNBSZB5ibRA1sRP/VbsSP1aAh2RLGwskqqKoZElD 01RORMVbtLGWiidekGpelrJPtYQAS/tSWIn2gVhCSOSJ9HV5XlGkKF5otcs9c33vdWaSzu29nmmq aidn75xzvnvH5zvndI7/+fe//hp5P6mznzrfN+HqTwsGmkDIanwFIQed8/7vWfI3b6fRF9Fn5Ad7 v39vs/WjV9Di9Wutza3Nt7dz8HuCyCc9LXCVMj91Ume/QK6emq8SXfDzZ5PaQ+bln21tr24g5MJK 9AsDoSSyR64xuT5vUE0TXKdhEgc8Xc+IDK7RcKXnNTpnfwk9Qftoz3JR48R1pvffJ2Q91WxwzezK NOCK+r3+GXX3lyBC+GvoG9/c3Lh+LXd55eZWbvEy+vj2l9/5+PZffvzv2z/EyT3ht+Hzm+qUxWL5 sDwmWI57b53q/YvrnzNdlMWy+gWSs6aDWhiuCp4sS/6WklSG+VN18fW52ZnrS6iKrpA/VUTXI65j HDs0Zz5+AQQvrv8C2aEFW22H3rXFDr0y3KF3bdCyQB73HfcxupS7is6fui+gI+MIHZmhjoyDR3Rc bK1eW0LfRpfQYiQ7fIHssPwOqO3wjqu2w69NiN15dbg7r01YI8/g13+6eu0m+g7Znaj2Rs33A5SY 8J8syPDo5yfyk3XRg6TazqcmhfdnhzufmrRHvL+0em3lxo2rnveLaIb8ieoE1DAcoKdJgeFzwxN4 SnBgonEfHaa6xsp2rlDOXXxzEX2LfE6nSRQ7j5YiO4vDlNpZLEwFz2Jh6uWchRqGA1QMYAAZYDhM 7aNCumu8XpydnZ2pEj68gn4QGZ/AORTSaufwq3SQEUEmzmF5c3vlhvk2eos8T4sRnoIaggP0YToY kz5M42NP0o0teI5mSEyNwvs62f+1zIt5P5p3wTl8lAly5keZYyhWbv7kKjmBt9B3I0LxWBPFAfpg BMXU8Cw+yBhk3VpmH93Ldo0i+Syc5D3NX38jnb+umsk3Rf5qDTX9A/03489fQGaOeLC1/dVT8hc/ muaZIJrmmVE0uedmQgfonTN+rgeZNaKBPJuIPpvPP1N2fuQEuad45PxcrzJ5g+fd8Nv/WPVC7qHy BNf9hneVJVeNgMwlV8fvZxbt4XORiMGDkyw+IRbDd2LPQiMVSJgfDe7HJFa3CVYmsazNScxsZrFf 5mr5MefplPUjy/1g2bIqdpFth9lcsJnNJdsvc7X8KHk6Zf1Y4n6wbFgVu8imw2zuuMzmHdcvc7X8 KHk6Zf24w/1geagqdpHHhtl8kGQ2HyX9MlfLj5KnU9aPR9wPlvepYhd5Y5jNwxSz+Szll7lafpQ8 nbJ+PON+sGxLFbvI1sJsFtLMZiXtl7lafpQ8nbJ+VLgfLMtRxS6ypDCbaxlm81bGL3O1/Ch6OmX9 uMX9uJfVw87uD7d5L8ts3s/6Ze4pfsRvUQb5bw3wRDazcXkW0zXUsxhqUzajcHn20DXUswdqU3a/ Xb63XeP0vZWtRbCvh9wz/D1kLFUP/tHYQP6KlspGe7zF2RkTeryNMdbk2Nfj7Rn+Hq8sgvdwEMF7 Xpc6i7vGgr1rFmq1ctGc9nrUV06pqHQRXCAI/D1UWQT/sYMIQAYd4K6x4wKC4hBBI1IE/k6nLIKn bhAByDDJ0rrGgyRBUK3V6/wMrkSGwN8plEVQngwiABl0CrvGYcpDUC7HgMDfX5NF8POpIAKQYa/P WUh7CIrVIYJGhAj8vSlZBA/TQQQPve4adAfXMoCgWqxFjKBOEPg7O7II/pUJIgAZdDAg7hMElblq TfopkskyBG+GcRCsZBzUCMh6hl4XoWs0pP1oIH3+pdhlOR9WMpusiyBkPUOvi9A1stJ+ZLkfel2E riHbRYCVzCbrIghZz9DrIoBOWT+WuB96XYSuIdtFgJXMJusiCFnP0OsigE5ZP+5wP/S6CF1DtosA K5lN1kUQsp6h10UAnbJ+POJ+6HURuoZsFwFWMpusiyBkPUOviwA6Zf14xv3Q6yJ0DdkuAqxkNlkX Qch6hl4XAXTK+lHhfuh1EbqGbBcBVjKbrIsgZD1Dr4sAOmX9uJUJr/fksMvWmLCS2WQ1vZD1NPzY J5Z70nlGj+cUu6Z6TkFtyvJ7j3P5rqnO5dSm7H73+N7umuOv6dumWk2/awZreirzvbdljvu9LX9N 3zZVanq96qNtqlXhu+ZDO7hrD4dVeNvccZtWoVapViKvAMGWGoJgFU5lUIW3zQdJQDA/HwcCtSp8 1wxW4VQGVXjbPEwBgtJcLQYEalX4rrk5FUSwOazC22YhTRBU6+V6DAjUqnDyzKdP+BwMq/C2uZbx EBTLkVfhYEvxc5A54XMwrMLbJFITBJVScU4agQxrtE1ZdoSVlDWalh47tk1ZdoSVzKYeO7ZNWXaE lczm+Nmxaamx47I1yo70nReQmaPvDoW8s7tsfYL87x+BLNo3O/3s2rTiZ9empcKuujbV+HDZCvIh lQEfNq0HyTwu1Evz0fd0wZYagiAfUhnwYdM6TBEEtUp5PgYEany4bAX5kMqAD0kcTgOCuflSDAjU +HDZup8OIrg/5MOmtZbxEJRmI0ZQN8GWGoJgV5rKgA8hNhME5Vq9MrauNPCE4LYwnoCVlCfyWI8P BbeF22R8mMd6fCi4Ldwm48M8Hj8f5rEaH07jjQCXgQwfn7DI0QmL57HiNH7fCGp634iXFfM4flbM 4/hZMY9VWFHXphqPTeMgj1EZ8FgeH6YGJIbW5mcjZwGwpYYgyGNUBjxG4mcaEMxX52JAoMZj0zjI Y1QGPJbHaxkPQb0cOY+BLTUEwbqOyoDHIKYSBOVKsTTWuk5wUlh8h5U0vg80eUxwUrhNxmMDTR4T nBRuk/HYIAIeGyjy2NExHvu893SAbOJYXTec9pqF+i6KiS8/Gw1eAhsNXgIbDV4CGw2U2EjXphp/ HJ3AH0ecP0jcSvcThWp1tho5fwwU+ePoBP444vwxIDHdQ1ApRc4fA0X+OMLBOojKgD8glhEE5bn5 +ljroIE0fww4f/QTevwxkOaPAeePfkKPPwbS/DHg/NFPjJ8/+gk1/thLjPLHOe/pAFmKaGkg2J2O TWds6ZTq6KQtfTM2yn9J6yfi55F+In4e6Sfi55F+In4e6SdUeETXplrk30sE/0WIyiDy9xNrmY5d qJdeIO9WjfxgSw1BsHKgMoj8EIUIgnKtLv+OuExEFFE8LCLCShoRO7Ze5BdRPNwmi/wdWy/yiyge bpNF/o49/sjfsdUi/117NPLTbyYAme2f6s+Jqf7n9cHu2inT3wcDWbQz9n7G6NjxM0bHjp8xOnb8 jNGx42eMjh0/Y5ComI7XZp3YVIvxd+1gdk9lEOMh3qw7JMbXZsea3Yt4HRb7YCWNfeuOznv2LhL3 h9mElcxmIyBrneJH/BZlJwxAp6wfDe6HHrsJdgw/YcaoOjbpfsvahJXMJptqELKWozfVADpl/chy P/SmGsT94TbZBMO6w6YahKzl6E01gE5ZP5a4H3pTDeL+cJtsgmHdYVMNQtZy9KYaQKesH3e4H3pT DeL+cJtsgmHdYVMNQtZy9KYaQKesH4+4H3pTDeL+cJtsgmHdYVMNQtZy9KYaQKesH8+4H3pTDeL+ cJtsgmHdYVMNQtZy9KYaQKesHxXuh95Ug7g/3CabYFh32FSDkLUcvakG0Cnrxy3uh940gagAw3mV VY06Nul+y9qElcwmm6QQspYj+30MUVtk2fHot9p+Iv2tYL/Hyb+JbwXDJ+bxVOfv/DrPLF/fWN3K La3ezl3a3Fi5iZjOP5jJjtCZCHz7GUKWp+n/CVP9KZ5YAAB= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0123_image061.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhygG3AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAYAAQC7 AaoAgQAAAAEAAAAA/////wL/lI+py+0Po5y02ouz3rz7D4bNQJbmiabqyrauKrzyTNf2jef6zvf+ D/QZgsRfrIhMKpfMpvPpHEKnpiP1is1qt9ymtLu0gsfksvnM/KKNq4A7gIIP3nF5yT5740367V7Z 12P3xxLIM1ijR7dDKGOYN6O21iN2gnhHcpm5yZeIGfeJ1VikqVPqcoqT6vgy2qkayiojOblT+ToX G4rH66mbyyn61Mv4W4ibs9q6jJqM3Dx7W5sjHSzXWLrnCvp7CefG9wd+CFzOu80cPCd+romOfG6p PW4OK3/9uK6cXq6/Sb+PBK1pOKrV6+cvljYaxHDhO0js3bGDEIvtUneNkzuG/w6teaQokdtFdRqN yfr4EFjGFgMJ2jBoCJtCSxxJZlqk8iNCUxhBWvRJcqPNiUDFjdx5UudCnTaE5iz5rqVLGjBF0uz5 rEW+bjTpIb2hqBMir6pw5vK6FKgjs99SOQ159WjagFrZfvJGFobBqbPaWO2oC+7KvwjzwiVab9Bh v/0Mx3XKLF7Wt/bkPjYZGbC3oSek8n1RNS7Fp1mJEjIKeLSvmUcrU/5nGZJSlLGbXg7aerXQzV+r 7P3MkvEzszdTCJ5MmDjx1Vjv5LW9iyxOOoOPR28X7hvTmtkngxsM3dr3ipxLeAbO4jdh2ejbu38f RT188+GZz7+PPz9V+ff5i/9Oql+AAg44wHn5+UdgggouCBqC7znIYIQSKmggfhBOiGGG81XYn4Ye fpgghxuCSGKJUCzWoIQXlrjVGYqw89xE7NRBI2atLLceT8YZhyNhIsK3Iol0MYHONkPetVRErzQU npFAoNUWar398uODJjbpBzTCScSkknelVp8rKJpWGpM7dhbkZ2l+uBmU8pjyXYuY4HhkWo1h1WVl jTXUI3uLnAaPnQKtORWhGuJFHmm+DAmQSO/Y6WVJrIX5paRjBjYUn82ZZyhBnWIYk6SKgpXbmTbJ +Veed65anla1gadjQoDORuWntdgqoZT/HElmq6ba+CurioJnZh52oeUcOcb/IisdClW6h2uEuq7z H5a+JmefqpEKW5Nkw/2UWbI+RosGuQtOy9uUW2JWXbBa4rbqtuquSyuw72oJ2R/PtmeugtMmdNOl 1JWnmEzcAVzcmwqXxk/BS8a4LHvmNIumildeLDERl064L3r9Yjzgxq6CnELHwH1McoAiq7ByhCar mXLMMmfxMl8oz4xzzgWKwHPPPv8MdNBCD0100UZbYLHOSi8txM1gOM101CTWXKjUVl/tAtUuQY11 1wtKshWs1NpLBYSPxBTWtQzZ5VyoZaWtTzvzQFwX3GgH8iKcdrMdd5+o5N13o9mtPHfbZxMHNmsU F7uFg9uKPbYgD5fZ8mjE/07qDJ7u+pBNwjmSaiqyZAu33aZ4JM6UqvNO4fiSrm+uZ+ewM/c45qBr /nmsrM4qebCq14ctPL7dBqnwY7ReKVSi9546wi1rC6bI0E+HMLia5m4fprYfHDzmqI/6e+VCNMXW dJAdwnfkvI5s+KSMc482kqPfe/bswGvf/ttQ8p4/p/ecEj4yIE9Uw5rfu2RXOuDVblMKfB0Bnyca t/zAYMZT26/QZZXTVQKDmBMfJWjHwATGjl0GZFkE+xcw6Z1wPRCs4L8y1z1uSYyDFdxZtYq3PS0M sICOmiCYbgPD7VHwdjnkn56aIyjdlamGB9MV/zR4w//AyoM8kI/sIvU+P/9FL4f4ymA4eHQ7J9Zr TMW6Xgl7uLnfhUtUjGPS9xQinRfSrGHl2193gni3OwbMWv8T18L4ODg97nGEdQDI8lxjwnsEUjd1 rFYKK3YvfnSBa16rpIA4dBgqVtGSnJSaiEKiyU12cpQ605qnSInKmZlyGpRMpSs91co5vnKWJlrl rWiJSxDZchKxzKUvG7fB5eBjRmdUQi8ZIczBKQeZzzGiBdtQR+wsEiyAi5vhDEm3v8HNmnBEFfyW KchBAZE0C5zkZ9QoRev90XPFNB4WuagbBzIRj5NrJ+l2Z0ZxpoZ3+WzcOX+YTnXOqSuOBGH3sjhD ecITflv0IWKGaEPNJFL/WKG8wTHp2aokUuqB8NKdMxGIUeWBNIi7E0s2JenFYH1viodEKBQumgzz 0UmZenvNnvymzSfG8aQNqycPwVVSP25sm/gb5PCmSUF0YgGmRLzct9rZi3LKMCneGqcK3SlPwqWU oh79YkH38EbOgLSiL/ln8gqzQkq9KEpue2ZaxbRQlMqpYC3sIwlDClFdhPUrY32aWTnKFagiZ6ur u6CvRpo9hsmRe4QtKFUJNlF9BrZ5aDUnQZyKTpdyo4yGLSFmQxfXxvpRNTyd6CgoJkJoyMuFkJys UUfrVmO6hK7TzBROQzfTVN3WUTKVqV2bWCNFwhaQw22ka3qLzXBGlH2J/13qL5/rMv6giKxlha51 CfTJ5jr3utzVzy7XwNTuirdpSRuveT0W3iicd71qSq8X2AtfWJY3vvQ1w3fLVd/8lgFsPfLmGdyL nsM1U5kCS+Y1F7sWO15wt9Dc6W/ZSb67yc1dKwVt1a4m1cgVlrlmEtNQHUjMqfa0Xom6X7ye2toQ rs+yVmujWBhm0J2cdsOd/VZeH5sjp5pYqo14o5Qy4qZ1PgHAf0VKus5S2hobhW0fdi3kaDxPvoaQ FdQ76/t8jMbxAJa6KyAyXzibuhX/dm/Jk55xEzhU5cQIsWu5DgKJWuFC8uZ8ZcNal/oqWCv3RLMP 3exwmpypP/K5s+V0Y/8w15wqDXM5a12rH4FvPGIXrzWkSLKbsgLt5N7xKX1QVKhrNRxbIng5wMCa cVOnjOADstCeUV7FoEcG5k3FOYr7ZDU1pFZVJ5VKtVlFMyDbhUZ7mFEZT5ZRa6oqLCzTOpwMFjWu IRw43U4XhQKOLFXP/Bii4kvNcgsyI+emGJYhbtRIILd+4Xvf/5573cCcL7vfPWRzOxve9I6Pu+uN b1HLOwj7zvdz021ffwuc3/1mw8APXsXQ6M+vCOfmI3WLvgEHzmE1jayEk8yjfKBr3PeMJxcKnrMM iw7QheGnPct4RYe6q6VHtV8XP95wHluO0tr5KqXPojiV2zyyLam5Ukz/juR1Yhw0Me81G2GsagKK leaUjVIx0gfjTl/lemJD1DuhHJyYR7M2WEfqp5st7uVdUcwLGyZq/zOQKZJTzmU+KxBAjrPa5VNg Ly6qY5M+9yknlKtCpgVRa96WlYNCcPM+uNwB92ovTvqup544CpG+KCb2+BZ5SonghV7uouvZqjcX caiLCDvx6djzYZ3Lp2XcdoP7+7OZxjpiY72Y0Qemn7LJV5Ql21GMSJxy0lR9vmn7+KBMO/hTBbub TXuaoTtkp72v5nK/1vDoWxTuopS+9VPksutrnyXUt8X2v1+y7utA/OC3GsD3W/70P59C6i//+QXY fvC//3jx/z5/lV83/2EaPxL1J1LeFu85ALg2aSOAJYd/KZRcvsNxANVx2EN2RNd/w0BoLgcgdpd4 S3Qqv6NskeSAtgYDEegET4RiSmR32NOANlZDG6hI2mZSQMdvINgEIliCRDSCFGhCuQVY6qCCqVcI EvR5jAaDSyCDuUdS3bR75HMdDaWDG2QMdCZa/nVrQZgERqRUJlZZutdVU1dDUvdwwZZJJuh9UogE VHh7zYVDXYcYGuF8+YA6SeVZYDh+YkgKl5dajHUqnnZpTWhts1ZrFmZkYSCHzPOHfnZyJiFGaHh0 vtZ3TNiEWjZE/QWIgShQX6VRJ3FjF/eFr1U9cKQX9yaJ8DZ/DPeJ+P8Wiiw2ivRWijB3ivWWiv60 iqhIfgXxirDoibNYX62oQ7b4brgoS7p4bvdXOSknZKCmaB/oi++hcVAHhfmHTeCWFXwIQ4iiUKw3 FLF4jEjkU56HUkGlhs7CiD8oUR2Uc7tmjdf4PvtAcu4DUCoYR8KVGGk1c3xXBdfYHufIeKRSZZS1 ExsIbOkyFvAojCFUjsfoYoaITMenjimmFlVnGWcYj+g0kL7YYUl0gFh1bLXyYIF3h7PhkAEpQxEp keAUUEEweo7Wcg9EkQ0JkOMokPQIH/bogYlUkDYxa/44RleodNRIky45Fcj2iMpie16FkS6kYHvU Lr0HbcToGJ3Bk7P/lZSI14z4R3HUBiMKGYNCWDJNGV+8iIjbCJJaeSDHVFE9BpbsxZVX8JVluSFp CYRqOV5nWWdu+ZZsmXVy2V1wyTp2KV7AuH83dFviQ5d6SZJ7sz8h5j82WCTBZm1xKJgxI4PQc5KQ dy2HuJhR2Jgk85hKuH7dMA7blI8dtGmXEpiXKTmfqWOGZm3nA2ysRR6iSZqY6Q5b5z3VYHrYuJEL CY708ZoYs0B5d5iJpo9ucSybxpi7mTI6CVI9B0TDRojQVokQaJyYiTv6uJkd9WaTZVPgOJrR2S0X yXdgRZuF9GeAt1VMVpEFwp0gMpVd6HDDhZcvlZ609J5DFp+zNJ/qIFWfrnSf75WfqbSfadCf/nk0 A0qgBWqgB4qgCaqgIVAAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0123_image062.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhWQFQAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAABX AU8AgAAAAP9mAAL/hI+py+0Po5zUhYuz3rz7UIXiSJbmiabqmoLs5L7yTNf2jbf5Eu/+DwwKhb1f cYhMKpdMxXH3bEqn1OopisNat9zuVmsDe8fkMnQoNqvX7FJ69m7L53RE/HWv6/fj/MrPFyjIBKgz eIjIVYiymLiUcQBpIAlAaYkRiTmpWcl5eZEJuinaSfoZcxqK6onZaOLqGCt7hTZre5sDS6KL2+tr V/srPCzCW0yMnPxgHMKs/KznTCENXc1GLYFtvd0XzP19qw0hDl7e9IGerk5u3u7+Dh8vP09fb3+P n6+/z9/v/w8woMCBBAsaPIgwocKFDBs6fAgxosSJFCtavIgxo8aNnxw7evwIMqTIkSRLmjyJMqXK lSxbunwJM6bMmTRr2ryJM6fOnTx7+jy4LqhQdj/pEOVRtNxRJ0nBLU3wtKmZqJGkcqM6yeo2rJXC sDL1dRXYsWLLqjo7ymxatKXUtmWbaq3ct3Pj0r1rN29YuJyqBuGq9QuRwNW4AiZMxTDiZ4oXJ2vs mBjkyMImU/Zl+TKuzJptce4s6zNoR0NLfwBQAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0123_image063.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhLQAbAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQAr ABoAgAAAAGb/MwJHjI+pywwPo5y0SmOz1nj7D3TgWInkCZnoqa5j635wvM10Zt9loL98L/sBa8Ih rmjcJTnI5aXpTEGjoWk0t8QmtcaG9ws2FAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0120.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Relevant Document Density
Adapt= ed from a presentation by Ellen Voorhees at the University of Maryland, March= 29, 1999
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0120_image064.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAACC92dDZAVVXbHz+03DDN8OAMMoD6QYRRBGGAABxVdlCzorigOM5BdMRoUJ35s+FBQ FyMKo+v6EVZ0o0tKkkYjZcpyq6DKWlNqlVFTJupWaQLZuBZR1l0NaFTcxUB2ZSbn3L79+vTpfvP6 zIf4crvOvHf79P3dfrf/c1+fvvd1GwD4LtoAZ9flACo8KKQtywC2NgPUL7j4fAADXz4KMKQSYCDE Uz2W+y6W243v/xYNN4YmtAa0i9suaIWqb347BzMghwzA1wp8NYXXQ7nxuLbKbT8ErQtT2rpB+FrL 6g23meC2GQqwMY1xEtrxrNxq3N9q3N9T8f0YALtXwF6BMQ17j2njFMeSbRZug22zkW/f033rLW+l +2xXIu8J/BDD2efJu3ZcRfWZ4p91tttueS7Yjpc7D/Pcf57w1wp/rfDvg7h/n9ivncK/U/g3Cf8m 4V8s/IuFf7zwj4ev3zGscPY95A3oI03Uo12FvMdM3/Do/Qrkbe9GR6345yJcSV3LfuSwpoIXov5m +BK4DpntsBb3chG+3oKvrbAa111pj1mwrfG8hrb1a9e1r4RV1DpTzQDbSpRq0E6trIE6WLKopaUi 3AOXqp23yn4a2sucXW8g4PT2FXpdPj2ZQqootCs1BfWz9D9+HIT97B+1BCUqCn1bLmQwXsgg3yR2 zI6HwrGGE9z7WbN+Htt+otsu5JF/Y3382P8xBP0/6eMGXHEzvvom6C+vwTU3W/PNNdZuMPQ56iDQ VvA5FrSkfzb6vphqQj5xn0G7m/FvxjV3W/NtHZTPzvdwifjEnYzchxn/blzzsDXf3G1tsmL/c7hE /IfdMdzB+A/jmh3WfFsH5bPzK3CJ+MRdZ4I2Cvk7cM0z1nyzw9o6xf4PwCXiE/cB5L7C+M/gmles +bYOymfnV+IS8Yn7NxCcV4T8V3DNbmu+rYPy2fkDcYn4xF2F3PcZfzeued+ab3ZbW6XY/ypcIj5x 70Lu54z/Pq753Jpv66B8dn41LhGfuDWG+oeI/zmuMYbMt3VQPjt/EC4Rn7iPmOC7O+Qb84iptebb OiifnT8Yl4hP3FvR6hm/1txq6q35tg7KZ+cPwSXiE3cL2nTGrzdbzHRrvq2D8tn5Q3GJ+MS9HW0u 4083t5u51nxbB+Wz84/DJeLPdfxFjE/sRdZ8W8dcFb8Gl92F/pm4dN52OeMvMueZy635tg7KZ+fX 4mKaQj5xP8bXlYx/ufkY82S+rYPy2fnDcIn4xG1Hu43xV5p2c5s136y01q7Y/+G4/KbQPsT9Mdr9 jH+b+bG535pv66B8dv4IXDYU+MS9Al8fZfz7zRWYJ/NtHZTPzq/DZWmBT1zqn59i/EfNA+Ypa755 1Jqmfx6Jy7YCn7hr0J5j/KfMGvOcNd/WQfns/FG4RMeXuHegvcb4z5k7zGvWfFsH5bPzR+MS8Ym7 F1/fZvzXzF7Mk/m2Dspn5x9vz41CPnHb0PYz/tumzey35pu3rbUp9v8Ee14W8ve7vucw4+/HHuGw Nd/WQfns/BNxmVngH3b9c6UX8Q9jf1zpkfm2jsOq/jmPy5YCn7jzkDuK8Su9eWaUNd/WQfns/DF2 XcgnLvX/Exh/lLfFTLDm2zoon50/FpeIT9ytyG1m/AneVtNszbd1UD47/yQbT4V84tL5w3zGb/bu MvOt+bYOymfnj8Ml4hP3PtIo48/37jNt1nxbB+Wz8+ttfBnyiVuH3BWM3+bVmRXWfFsH5bPzx+My p/D9SFw6f7uR8Vd4q8yN1nxbB+Wz8xvs9aaQT9yLkdvB+Dd6F5sOa76tg/LZ+SfjEvGJuxm5DzJ+ h7fZPGjNt3VQPjv/FFwiPnHpO3474z/oLTLbrfm2Dspn50/Apb7A3+7afyfjb8f23mnNt3VsV7X/ qbh8o3B8ifshvr7I+Du9DzFP5ts6KJ+dPxGXpsL+E3ccct9k/Be9ceZNa7550do4xf5PwuXKAp+4 X+Dru4z/pvcF5sl8Wwfls/NPwyU6vsQ9G7mfMP673tnmE2u+edfa2Yr9n4xL1D7EvQy5Rxn/E+8y c9Sab+ugfHb+FJjC9p+4dH4yJBfxj3oPmCE5Mt/WQfns/EZcIj5x9+BrnvGH5PZgnsy3dVA+O38q LlH7EPca5E5h/HzuGjPFmm/y1q5R7P80XH5eE/KJ+wPkzmH8KbkfmDnWfFsH5bPzp+MStQ9xRyL3 QsafkxtpLrTm2zoon53fhMsrhf0nLp2fXMr4F+bmmkut+bYOymfnz8Al2n/iTjLB9cyQf2lukrnW mm/roHwav6fXPvl1MX69rK+vsZaqJ0xyLCO8EmrYNmFd5Auv9+VYHcQtNj4wXpTn1/lms+2o/cNy 17p8d/7Vwr9a+M8T/vOEv1b4a4V/n9i/fRD37xT+ncK/Sfg3Cf9i4V8s/OOFf7xoV94+y3Px9iH/ E9203wbh3yD8m4V/s/BvE/5twv+08D8t/M8L//PC/7rwvy787wj/O8J/QPgPCP8R4T8i/FUm7q8y cf9o4R8t/BOFf6Lwzxb+2cK/QPgXCP9S4V8q/FcL/9XCv0741wn/ncJ/p/A/JPwPCf/jwv+48O8S /l3C/5LwvyT8bwn/W8L/nvC/J/yfCf9nwt8p/J3CP9SL+4d6cf9Y4R8r/I3C3yj85wj/OcK/UPgX Cv8y4V8m/NcL//XCv1741wv/vcJ/r/BvFf6twv+k8D8p/M8K/7PC/6rwvyr8vxD+Xwj/B8L/gfAf Ev5Dwl+Ri/srRP87QvhHCH+D8DcI/0zhnyn884R/nvAvFv7Fwr9c+MPvj56ea6SdX/TV2HMa+3r6 n0JrR/aTfbzfnE1tFI5X0vmOAQeuLz4GKueEhMPTNGjNz33CMvKciHPDcW/a5qAY995iCm8b5sGN cB3GjX+OmXU/nGegSFqDvtpxhk59YS++35uy7Z4i5bdM85q681NquTfin3PPPEMmtzndrTuAf7eh /aQuzj89pUyYmu6J+Nvw/bZutqUUjXvHz0HTYgMCGZhnip3HPsz+Xza4fNa4g0adPcbbIHib1TzP 6iMvyvPzMR0vh+2yJnZ+x3lPq3kVQSwryvPzPR1vAFQy3vOC97qaV4l9xcbY+SbnvaPmDcRt/jl2 fsp5B9S8Kqhmx+OA4B1R86phEFwdO//lPDq/1fEGwWB2PMLy/HxYxxts/+fyojw/f9bxhmCfvyJ2 Ps55s9W8oTafF+X5+bmOdxzUsP1bIHhL1bwaLOc15UV5fv6v49XCMPZ5rxa8dWreMBgOZ8biD867 U80bDiOwr86L8jwe0fFG2O3yojyPX3S8OhjJeI8L3i41bySMYnrZJXgvqXmjYDTMjcVbnPeWmjfa niPlRXkef+l4x9trS3lRnsdrOt4JcCKcW9DLZ4LXqeadaPctL8rzeFDHy9t1eVGex4863hh7DpsX 5Xm8qeONtefHeVGex6c63kl2HDEvyvN4VscbB/V4Fp8X5Xn8q+PVx663LRO869W88XZcMC/K8/ha x2uw44B5UZ7H4zreyXbcLy/K8/hdxzvFnm/nRXke7+t4EzCuOiN2/YDznlXzTrVxXV6U59cTdLyJ Np7Li/L8+oOON8mO0+VFeX69Qsc7DSaz9vtA8A6peZPtOFxelOfXQ3S8KdDIznfD8vz6iY7XCFPZ /o0QvAY1bypMY7wGwZup5k2z42h5UZ5fz9HxpgfjiaI8v/6j4zXZcbK8KM+vFxXjhdc/KP6jVJie 3xXF4OTj10z4+rT98SAZj3ew/dng8lk/n5cSj3PeZjWP4vE5hfOLzYK3Tc3L2esUeVGex+M6XjIe 57zn1bxkPM55r6t5FI+bQvzyuuC9o+YNtNvkRXkej+t4Vfa3H3lRnsfjOh7F4/HxKM6jeFrHS8bj nDdazUvG45w3Uc2jeDyK1yYK3mw1LxmPc94CNe84+8ufvCjP43Edr8aWy4vyPB7X8ZLxOOetU/OG 2fH6vCjP43Edj+Lx+Pgh5z2k5iXjcc57XM1LxuOct0vNo3g8Pp7JeS+peRSPx8c/Oe8tNS8Zj3Pe e2peMh7nvM/UPIrH4+OxnNep5iXjcc6jeFrHS8bjnDdWzUvG45zXqOYl43HOO0fNS8bjnLdQzaN4 PD5ezXnL1LxkPM5516t5yXic89arecl4nPPuVfOS8TjnbVXzkvE45z2p5k2w45x5UZ7H4zpeMh7n vFfVPIrHr+zIi/I8HtfxkvE4532g5lE8Hp+PwHmH1Dwbj2/Pi/I8Htfxpth5sHlRnsfjOl4yHue8 BjUvGY9z3kw1LxmPc948NS8Zj3PeYjUvGY9z3nIlDze1SY5vZy9vYvG4fjzci8Xf+vFv+h30Ba1y vDp7+YpYfK0f3x4Qi6f149mVsfhZP3490N5DRY43Zy9PvzOO2k8/Pl0di4f149GDYvGvfvx5cCze 1Y83D4nFt/rxZfodb3I8OHv542Lxq378uCYWr+rHi2tj8al+fHhYLB7VjwcPj8Wf+vHfEbF4Uz/e WxeLL/XjuyNj8aR+PHdULH7Uj9+OjsWL+vHa42PxoX589oRYPKgfjz0xFv/px1/zsXhPP946Jhbf 6cdXx8biOf146kmx+E0/fjouFq/px0vrY/GZfnx0fCwe04+HNsTiL/3458mxeEs/3nlKLL7Sj29O iMVT+vHMU2Pxk378cmIsXtKPV06KjVfqxydPi8VD+vHIybH4Rz/+OCU2/qgfb2yMxTf68cWpsXhG P544LRa/6McPp8fiFf14YVMsPtGPD86IxSPdjQeWy7zvMPX23mv/n9hdLq1B9iAv2oYSnyedNmed 1n+ccc56T+Z3AXA9fvXzuyhpzlfk9eRiKZqzfkEr/13AEmdtENxThu778pQJf2ewex5Z6KN1FxXh t4D7bbPj0f07L0Bb4Zi3Cmbo80owm5E6hHGXo52NdrrjLhTc0JfrhkucGbavGldgS36F4+dT+BWZ +M2F9kjj74GAT/chknzyleLPdH1tMf4Tjv98Cv+JTPzu9/8mx//LFP5NGfizSuz/Asf/kxT+gkx8 2v8JRfkjHb8xhT8yA//0lP3/ut2nU/azveVRu/89NtZqfP03U7qvpmtR4e+LXjaBFfrq2nhfrT/f Isixnd8FJXndz+8qltJ+X0RtGer32xDE9ivw9V9F/xT6svx/zMCzPbreFlra7/Er4eunw6sh0OGP oO912P318vT5XQDR9eZjMb8Lv2lbezW/q0gqpcNrwc0pgKQOQ18WHc4CKEsd3gmBDn8Kfa/DdL10 P78L4NjO74Jezu8qlkrp8IcQaO0xSOow9GXRYTOUpw7pc5MO34C+12FP5ndROpbzu0CU187vKpZK 6XAHBFp7EZI6DH1ZdHgGlKcO/xECHX4E/XN+SLGM5v4uIPxf9f1dZP3a+7sUS6V0+E8QaO1dSOow 9GXR4VlQnjp8DwIdVpu+12FP7u8CEF2fORb3dwnr7+n9XYqlUjr8NQRaOwpJHYa+0jqcba8Jl6MO OyHQ4aR+0GEYT2ru70LpWN7fBaD0teHu7u9SRCZMh11daTr0TKC1MSapw9CXRYflGqfQ5yYdnt8P OgxTOd3fJbi7c/FU6v4umnJch/VOa3NSdFiv0GG5xilnOx2294MO06+/dX9/FwD9/Lq+vL8L9PL+ LsVSKR2e67R2aYoOz1XosFzjlGVOh3f1gw7lfD75ezJ+fMP5eVDk+KbN7+uP+7uAKK+9v0uxVEqH VzitfT9Fh1codFiuccp6p8O/64/v5Sr9/V2gyPHl8wuz3N8l2c9le74Lre3N812KyITp8ONUHW5w WvtJig43ZNbhGRintJty1OFWp8OX+0GHPXm+CySO71f7fBdKvXm+S7FUqj/c5rT2sxQdblPosFzj lJ85He7rBx3qn+8SYLLpp3+e7xKO6/X0+S5FZJI6F4jr8DmntT0pOnxOocNm3P9y1OG/Ox129YMO 0/XT/fNdAI7t812gJL/757sUS6X6w186rf0uRYe/VOiwXOOUQ06HJ3l9r8OePN8F4Ng+34XW9ub5 LsVSpMMHTJoOjzitDfeSOjyi0OFZsKcsdTjCC3T4jX7QYU+e7wKJ4/vVPt+FUm+e71IsleoPR3uB 1mak6DD0ldbhmWU7njLD6fCyftAhxa80Z0nzfBdwee7fB/HylOf+ncK/U/g3Cf8m4efPdwHo3fNd iqVSOmx2WrskRYfNCh2Wa5zS4nR4az/okObFfwuCOZ4Xoi107Xgx2iK0SyCYF7/Y8dscZikE/dN3 IJh7fynaMrTLIJhDfTkE853/1B3DK9GugmAOKc2nbEf7M6DnoAc6ug6C38V8D432i54fRfqhub9r 0G5AuxFtrauf5nzfjHYLWid+1qPO/gLzt0EwV/J2tDsgGMj7oAq2w6LWjr3TWjugSCqlwyVOa6tS dLhEocNyHU9Z7XT41/2gw33I/BXa+2i/RvuNF/we70MvOr4H8P1HaB+j/beLlz/F18/QDqJ9jvZb tN95wW/xvkD7H7TDaEfQ/hft92h/QPvSC873OtG6vGDHX6qE7W+f0dpR90hbx2O7TvyVPH5zcaPO rmr7ucI0ENgzxmqDz0/W2RX9Zuj7aOshiFFoThj9P/+XV0QkUHp8ea3T2uYUHYa+LDo8A49yOerw R06H/9APOuxy2+35TtBPHGXH8aL5bYm+46L58XxnN9tTnvtLpXDbP5RgZuVpU6n+8CGntadTdPiQ QodnlakOf+p0+B/9oMOix4RnvGp7zehbqIHg+mFLxzkHW/pND8cqldLhLqe1N1J0uCuzDs8q2zjl DafDL/pJh12qpC/R16m39ZfWYfr38ptOawdSdPimQoezyrQ//MjpsC731fWHPUlfdnOM0/zdfWd3 ujYMt+HvKZe2Puv7YnWW6g8/dVqryiV1+KlCh81lqsPqXKDDWV9zHZZ7KqXDoblAaxNTdBj6suiw XMdTJjkdtvaDDnv2raYv1ZtEu37wP5NxVPE0l34+Z8t0uvJkfzWjtWNSRfE4h30v59J02Oi0dn6K DhsVOizXeV9h6qvf+dP8MZp7Rb8H+X03ug7fe64N74Hgfjc0ljqRrtWIYxH6BnVzLJZbVissgG9C Pb5bDWvwf2KFvY8g3cuv1r3ScaiJPo+9TjO4D45NX7dljfuspK2bMvYR+93/0l25wF4IryXVwvAl 2BoroR3WYusswtdb8LUVW2kl9ht0PZU8Te5eEkdWHGx/obG1owlt/56rYu187su/bT90bR1UdMQ/ d0+TyQU6eKKpteOePa0dLVNaO/CzHvyXS9o6xmDMGuZp2zEuhr28Cra34P/96Ze1dtB1OfKPrQp4 Yf6+AUH+COan0jXeYvUXUnXiu2ovGt2H8AZs3zMh+J0p12Xoo3Yopku65rwQW3g1tvgq2+bt2E+3 w8223dfhmvnoWwE32aNDa9ba36IOdfsyzL2vdO9Jq6FmB0Ok4yq2zRDno/Uj2HvahvdP1O592T+F Sf4PYD+4MawnJ+oJ1w8oUn8Fe0/7y+unz1LL6gv3h28zCOJjTGnb0Bgr/70uvf8/I7GkqvybAAC= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0120_image065.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh6wEiAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAQABADj ARsBggAAAAAAAAD/ADMzzP8AAP///wECAwECAwP/GLrc/jDKSau9OOvNu/9gKI5kaW5Fqq5s675w LM90bd94ru987//AoHBILN4UxqRyyWw6n9CodEpFUq/YrHbL7Xq/LCt4TC6bz+i0UKxuu9/wuLzI ntvv+Lx+XN/7/4CBgjh9g4aHiIlwhYqNjo+QUIyRlJWWlzSTmJucnY2aPgEqCyuknqeoqUagPFai Ka+vBbKqtba3M6w7rqOwvbjAwcC6OaKxv7K0sCfMzc7P0NHS09TVIWHKQca+3Mkw2cLh4onER93I vy7g4+zte+U2DbPo3Oru9/h58IT1x/Ut6/IJHEhmn7lltEy9CEiwoUMsBiU9nEgRIkMtFytq3Agk /+KTjBxDiowH8krJkShTljo5haXKlyE9OnEJsyZFmU1o2txJECcTnTyD3vO5BKjQo+KIKjGKtCku pUmYOp2aCuoqqlgFWqWTtau7rUSkeh0LCewQsWTTkkMbtVUEtXD1mF3TaoDdu3bZxt1bRe/KZAoV 2tuFF69fvohnHp53rlQ6gHUL501MWc3cXtm8LYwseXHlz2tOIiFmLPDjMJwLewbNuke5WKB4NWb8 94PkvNZy697Nu7fv3x+wxZu1LRdq2gGNBrg9YHXr54REj66hzB9tyIRvO4fOPRfL0ckx07t+XMdy 7d3TS5kbmI1g7OaZb1dPf5Roxz9TG67PfylICP856XfXfP2l95o8+WXX2UQSFPjOfVEoJx+DEzqo D1AESojeQ+ctaCEeBzIQoIKqUbjhh3aE+N5VJO7HYYUozvHaegJO9uKJMcah4mX4xYdjTzDmuIh0 Iiboo4cOdViikDpC+E9bLQ5oIpJMusHjDxpSCeSPVaYBz3QjHrlkkkF26SWRT7IopotkcmmmGTNa t1SNzU055pto7JghnQRGoiSbeJ7x5YpqFlPmQH9KGWieGIZpqJv5JGrjonASSah9gCWkSZZ3bqkl pWDo+Y14s4UX5aQNSVonqGXMyI9mmg22pqJtfspqF6IaB+tpxIEgH3DAivBrsMQWayw0wlGH4Df/ 1jU76qmr1trprbg6OdyuafIaz6FacUstRpbqUhxjscL3qK2RevutRSQVKeu4zm4GbZ9lqbtuX8Np i+m+/Mo7K6qeTnsvu63yaSegA2fh0Z7zHkxrwgqHy/C/0aZqL8QfSewoIRe3oyq9GDO7y8ZHdMzO xyFH3O6lZxl8I7opK7Zyn5wijKjJMa9i7UwuS2tzzjIX3PDLAgP9k3TZcjW0zw8bHXQm5UJJscTu doKy05JYO/G5RauDsyNXY/20d1VLzfXPC339idpiu/Ydyy0vnQvb5NDdtnkgF9Pz3JBaEvbd/h0B N11yy/A3J4cDTofGRp7ddAyJYxK54qHlmzRC/5hmCvnehtt9yOSUd8T4u09G3aPjAEPuuSGghx7K 26SRh9yzU2/bdyWtu+5WUb3GmlkIw1oQ/LG5DU/88cgnX0GyLGIru76ZfJ27n6vrLjLUg/Mar6y9 LxuG9NULMr310WFfNvfjmTqLt+PDEn4g7ZOvrHfMc++8+pPHH//at8tfvuHoqw1sNMWQZLAPfP2j XgL9Nz8Amktq+UMgzHD3PgYSh2wOCFMEF+g+DoKtggxkxVuMtMEJfs+D/DOhBaFmnAeqqYRdAwgI /bC/Faojb/zoILr0N8N39JB8VwrFKA7owRrWDYU2BAgOD7I+SPEQiUdUYRKvl4nTQZCIUtRhDP8p YcQpLsN851NaE3cowS0qMIterJ/hvHdFJ5YRbX77ofVcJREtou2JaEyhGdOoRDgN0Y1FlCOIBOm6 hWkQi3u04+MkR8jQ5Yp3ikxdJCvWOSgiootefOScJrkOPCbyg5b80AjXs7NDAhKNmGRdI1sjqSVe UFlhDMsfyRjIUKrSlg5qJb5gCbf2EHBznExbLfOoiFTmEpe7o44VewSvftAOhnCUITLht0rW6LIl jdJV+p6JyGiekJhR/CTkAASaa5JScNmbx/24ecpPGlN8FTRnZeSZtZllJF6mg4DxGLBPCfRTec74 pwa0A9CC8oag0VDj5sYFzHX6C5qLFCY4Lxn/z2kehZ4ZI0mvHDi7jr6rmxH1mkX/8M5IuvImI/2f Mp93Ood+tJ3eLEU1dVTRiZ5ilJJIqeAWZwrB9HKWRfNkTOtlUYyOw6g/0alGV1rHMQb1jSGlYFGV esahhoWqLOTlR4B6R6hKMkU4raRNv2lVWyC1KFilXzEmBtGvinSsBfEqJU91UhqmVXVwTSYY2QpS t0ozr6GSK1rOKgzCRuWu41zZVoP5VnfONEKC7QhiiznZxkY1cExdrFO7OkxxeimyWKosRQGLOlcO iqWyZOxfHSvanHa2rHj1bFX6Rs5QtFahzJJTG2mJyse6trdTJe0lkGpY6tx2Jde6HOE2G1Gh/152 EaC1rXDjyFvYfuO49rGnKatb1pJ+wbl+tZ1sUUHc4I4XS7CjGVebG125tLdGdfUhd8Nr3Onu1Dzb feprn/sG8M71X/F173z/W9pdjvMB+eUscO27Bf8OFrvUHPCDGdzAA2eQhH0lsGX5a6X30jVdEpYs hbMKzPJskrlfdTBJPQxgEOv3vGTlcFgCXOK2ani11s0TiwuMj/KStrg626l6VRtjGXvXCyoO7Ygf 4WMYy3TJa2yXcrWx3hTvWEZXLhmU9cjeH0P4lVXUrbnc9VMiP3nBTuZDlsWbY/LClL7R2zIVMbip hJQHfxkWjW8/sub6pnkTTW4zjuG8OHQW0P+j6cDzmwmN4hvTdL+Mjq2gPRFoGUva0pV7oWnSpE+E PkCgn/a0Qf0pagqAGgOlHjVwUr0AVm/A1SbAbRVrvM2H5pnNsD2yktE86TP3GnGLnvCf8Ya9ZZq4 1i8dsKN9nes9i5W1XpZzOLs8bCAXeo2kGBw4tgcfG+sZhbqWLq8xLdFfmySsMwm2iD2L7ihzNJbM RHa3b+1ncYbbNX2O87Bb4myTlpvcG152kQWO3HeX5Jf9SvaLoW3vfl8X0gR/NsAb7PBKR/rh7Eai CBOdYGozvNlfDnjEvWvtwELY4hG/9MVL/kVsXxiSje5kvquccrRCXNjmrkLF1b1r67IczLn/ffmJ vY1rS9+bcyq/+L+VzoWj823hEx+4S36+cReKkej1Brm0s27kmu57PTvvTATM63ON05idyv52Hp1e O64zfdA1x1XYVSMfsmOa6me39aJHrja2o47vdn87RuZumLpHO+PEDKJraC7zm2t56/r+eNSZLXiF EX5Ahq+2xs0+MgzvXe0NDzncAX/4nPP75NrJfM6pznleKt6Any96pP3OMcf3fPIQuXxeVI97fz/+ jlXT5G5VM3bbuz3uhzU+viF/VdR3hveVr/LU21nwWTf1Y9Bn9P5o//vuet30YHc+3VNf+rtTP7uu 5yv5n6/8p39d3JKPvu+hK/7Cr3/1m69u//XprH72+z/+Kcd9skd6msd8Z6F7zZF9OGd++od+1oda y4V99+d94OZwS6d939d7Old/mDeB8odi09eALVcQjJd9BKh177d84/aBPyd3HLh7Hoh8cBeCC7d/ oVKCMXiCRmeBIgd6+GeAa4CAEliAiFeDDthC12eCSXZ8ebeEKgh+kPWCCRiDC7hy5zeCZJNZPrUp OPh/FLh2PDh6PqiBLdh0QqiA61Z2Igh0sJRYzoRod6aEM2dmudd+H/ZoQAiCCthuGKeGRoiFLjcJ zVQqaDd+Xth1FSh6A6eDLKiISJcTOdhKfZd/f8iGB8ZULjVvkTiHMeeCKyiDUrcQtTV4Uv84hPYH hokHa3hhg8VGa4SIDQ4gh7AWamKHarNYDafWALkoPLVIi4YBLLtoApt4iLhhi8SXAcNoF6wYdLHB cXDITLL4id/Rb6b4hUSoYNiogRcIivClgJOYisQ4hcp4hNiGifIWh8kIgNOIXdWIiOVnZSGWfHko iVT4jUV4ioY4AMvoL9aXiegYjk7oflAYefhojT8IdfCYgpT3gbWXjwUJg6h4jx34f/soilWHOQmn iQDJiQK4iAF5hzN4gc7RkVLnjYkokRCZjxWpRPAWgdGojt2njQP4kS0WcI2nkIx3eg45kQ85e5TY k+Koj+RYYhBIZZykhDMZkww5k5zYhx7/95RLKYY6CZT0GJF+SJWrOJTM2H87mZIGuYPsiJRMmIZQ SWBlOJY3hGC355U82ZZgiZJBiY8ryZJDFnNiSZBviZNJF5fueI1leZMDuZBm6USjuJDtyJc+CY5d GZRzqTBduJhjmJhAeJiMyI3SJ5KYKY8IOZgSZpJWyYCQmZWAaDlD95JfKZl66ZRuiYGB1xzFt5kj 2VeA+ZeeGXpwaYqNmTmv95hUmZS++VuQ+ZtPuJqIOZtR6ZGZGZI2WZsoCJpYeRe5iRDpJERHGYnC KZAyyYRNKZJoaJNLIZvJWZL1eJJXSZxKEp1FeXWm2ZfNmZ14yZas+Y6IWZzh2XzxqJwz/8iceemc 5imalriVHQef8xmZAUiNd4mdjbiR90kH4Omdyzmen2mFCjqOowmgnjehMHmdkGidaAl//bmg9gmb 9Sl9+lmMahmKSombWsmPXPmc0qiUlvl3NFla3YmfDMpzNmqYJTqgDip7KlqhuMKb5qmhe4lDlEmg VTigOHqjIHqZD0qMR9qjbvej/3lsU9YRQiqgSAqjRnqgEkeG6fiX37mkhsmdEBqcOYqgVHqRKxo3 dsmh71mgYQmnCBqjekiFIxqEZOqk+XmmvZmmX6qk0NmmRzidi1edAEmkqnmcdfoxhUmHAFajKLoK DQqodwqlXjp/U6p6jVkcYAJzR8qRBv8appJEcqTKmanZVsaJqi7aqj/TSnxYlSpJqLCIN2JQZm+a qB0ap116qtuWgVq6p3rapJqqo346pH3amffXqc6YWc+YaOsZn7aZmtt4mL/amtaap9pQqZMqnphK pyQabJxKq93TklZqOtB6qpW5jpMZrdcqn9kqpSGajQlJr4Iamm4iq/a6pvf0qEHXrBqJr9Lor50Y hRi6SKZ6sPXqnoJJarD5mq4arPkKruFKkeS6bZbDbdLJT+qKjFQIsb+Ii77aab1oGwrrmiQbsszg riArsQIbsSaqiwDZsvcqlEAKJei6sdG6rrFnsC+LsNyiqpJappoJs6tqrTsaOfpKm8v/Sq5xk7Nj FKo317PAabQ9eLVP2pVHO6Yne7RJ27FZu6/jerMR+IZvJbUlG0bxKpU+a7Vsi5xhu5pbW7QfCptf e7L/tbQL67I2W6UzhnAShbZa24NUy2e+irVwm6yDK68HeLhxC59IS7GXardNS7akWLNu65GFm26O m7gNa6ZQqq1kWbdie6yQm6mTW7oWa7mWx7eZ27Cbu7FsNDVDC6lC+7Epy7BZSp+PW5x3ayt6y6qk i546Kbg9+a6L+7af66GkC7QTK66my7uU2rneqrW/KzDB67WV67cU57rNW6q1a7tB67Fdi7jLq7jH G77bSr3G+q3ui6bVq7qzyrp1iLnf/5u36qu0QXu9x2u+jEezkRu6dOu9wkvAAQy/7Uu5q8u9WiAA DvzAEBzBEjzBFFzBFnzBGJzBGrzBHNzBHvzBIBzCIjzCJFzCJnzCKJzBfat4nGG8cku4acuxwLu/ 0bu25wu7Ncy+/EcoLlzA9vvDUYq+TLvALKwgPSy9OPyzzjvDOYynyru72avDgYq8r5vA6dvETAyZ ADy2DNy6PwzEMKzE4Pu871vF4uur/Cuh2OuuoGu9WLzGeBvFg0q/JnG/YCyGYPvEiAqzSJyTePzG 90uDr8rGvSvHYoy/cZyOxBt+X2zDWRrEnvvIhBzJe3zFZfzCKZq7gdzGluzGuhq/gf/MxUV8JEds VAf8p5Scq3xsyjTctWlcc3rbww5rtK+MyIdsyCucd2e7s6wMyEsMx5dswP5byXL7yoJczGjsy0CM urjcyXLptHVMwECsyacruY7qi868yWJIzcuszA3yuLJszLW8xclMxLr8V6XszcwszlJ8yqGsztB7 y+XsyfRMy4mMoYtssOkczL5rzezctdzczMjMz9nLydIs0N1M0CUazts7yjlAABAd0RI90RRd0RZ9 0Rid0Rq90Rzd0R790SAd0iI90iRd0iZ90iid0irN0fn8W/tczwMtxu5cza5c0zYN0zR9jNic0/as 0Dfd06usyNDMU7H10tnM0+/s0/L/rNRB/dMxDdR2jNAz3c9O3chCTcephVodYtRP3dUG/M8yPc9Q 7dVUHdb3bNZMHdXKXNbPjNVumhxqbbpTPddindRj/dXwXNUMndZ4rdfuKsqmpT2qNtiEXdiGfdgT 0NJYAj0YG0DZ0kmO/TyQ7diTbaUsVdnGJtn8qC+YzdmUvdmebXWdnTSjfdmR3dhWp9mpjdqWfR0O DbCWXdqqLdqgbdqffdutXdq6XduyzdrG5tuhTdurfdq8Xdy4ndvH/du17dqBfTnATdrEPdzSLdzU ndm7ndza0tvRHdvLfd3IPd3cjd2P3d3iPdvf7dZly0dm8toZqd5Cwt7uTSnwHd+B/zLf9P0m9n3f XZLf+s0k/N3fOfLfU8dED4iEBl7gHIXgRHngDL7gCd7gy007Ci7hEB7hkU3hD57hS4URyTXhongt B9fhFX5DIE6aABTiG64rKB5mzupuYVZKmwHjc3biOiHg6ekL2VMaFyFm8rJxIZ7jG9VQKyUuN65O Pt6MRQ4b2vTi9xTkz4LiRP4fTr5QSA7lNGHjSX6l5NLiMZ6ePD4YUp7lLB7mUD5rK37iXq7lW95C Z75QN/7lx1HmHo4aDFVhLZHasnNoUFsdrnhomV06bq5cdibkEJgZGG4qe97ab+jnjI3n6gQ9ru1A cJ7nFO7nif7nHXXlJ/UdtcqijP9g6JvNMnU+KgNE6hhpD1D76FMuayTe3lh4KXWQHIALGVKuOV2+ 6o6R6p4qiF1s5LiOGaWO6onuCgYx3zqu4rXejECeTsdO402+7Ee+41o+6eNB6JIO4tLO7L9O59HO 5k3exUou6d+OE+ztD5Yu6NUe5+i+5j0O5+GO6O7ecvC+7mk+ZYPuivj+5PEuG+3u3PKu7+i+DYiu 6mBO8Khu8LSO8Cq1VbdK6sP+rL7u7w1/61/uqdBt7hR/8bOR8AHf6Pd+8B0f8hWv6uGB8SA/8iZ/ 8Ci/8bnO8i2/7+xObBFSrg4Pb8cO6zQf47ML7M1O6+AB2dn26RuF80Ff8p8q7KP/zvMBf/Q+n/RK T/Q7j+M/r/M9z+1Vb/VQf/VPz+tCh/XkvkTU7vIFz+ZmXvZkf/bXjvZpv/ZPPuRmz/Ztr/ZxD/dz X/d2f/dj/zoQQeAj7uh+r+gXHvh/j+mCD/iGP/iQjvhqvvhFzviNz+l8r+Fr1RcHRxqWX/mY34at mIWbz/mef4ma//mgL/q5FfrlaPql3/mnT/oyD+AW9N+uL0rnHPv8Afu0XyC2f/u1P/u6byC83/vc kfvA7/vDrzvCX/zQcfz0cQG66R5MT7CtbiHKrx7vDma36jvhjgxhP9Ss9Pv14fwO2Afu8eH3Mv3f rynhz1DiUh0/f/0D5P1JAv/U509AWwj+avVF4GH9pdHr8yT/xJ9dCBBRzFqrvUbrdOvpCDOvYCiO ZGmeaKqubHu1cCzPdG3f9DvpH3byneBlgysaj8jkK8lsOp/QFTAo4VitIiBx6HFEv+Awaykum8/o 6k4RYXfYPDImPr9ueum8vijf+/+AgT94goWGUoSHiouMTn2NkIePkZSVliNwl5qAk5uen6Chokad o6anqKmhpaqtrq+weayxtLW2tzOzuLu8vbu6vsHCw6LAxMfIyZKJys3Oz3vG0NPU1TZw2Nna29zd 3t/g4eLj5OXm5+jp6uvs7e7v8PHsCQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0022.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Why Mean Average Precision?
&#= 8226;It is easy to trade between recall and precision
&#= 8211;Adding related query terms improves recall
&= #8226;But naive query expansion techniques kill precision
&= #8211;Limiting matches by part-of-speech helps precision
&= #8226;But it almost always hurts recall
• <= /div>
&#= 8226;Comparisons should give some weight to both
&= #8211;Average precision is a principled way to do this
&= #8211;More “central” than other available measures
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0027.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Obtaining Relevance Judgments
&#= 8226;Exhaustive assessment can be too expensive
&= #8211;TREC has 50 queries for >1 million docs each year
• <= /div>
&#= 8226;Random sampling won’t work
&= #8211;If relevant docs are rare, none may be found!
• <= /div>
&#= 8226;IR systems can help focus the sample
&= #8211;Each system finds some relevant documents
&#= 8211;Different systems find different relevant documents
&= #8211;Together, enough systems will find most of them
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0028.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Pooled Assessment Methodology
= 226;Systems submit top 1000 documents per topic
– <= /div>
= 226;Top 100 documents for each are judged
&= #8211;Single pool, without duplicates, arbitrary order
&= #8211;Judged by the person that wrote the query
– <= /div>
&#= 8226;Treat unevaluated documents as not relevant
– <= /div>
&#= 8226;Compute MAP down to 1000 documents
&= #8211;Treat precision for complete misses as 0.0
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0125.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Alternative Ways to Get Judgments<= /div>
&#= 8226;Exhaustive assessment is usually impractical
&= #8211;Topics * documents =3D a large number!
•Pooled assessment leverages cooperative evaluation
&= #8211;Requires a diverse set of IR systems
•Search-guided assessment is sometimes viable
&= #8211;Iterate between topic research/search/assessment
&= #8211;Augment with review, adjudication, reassessment
•Known-item judgments have the lowest cost
&= #8211;Tailor queries to retrieve a single known document
&= #8211;Useful as a first cut to see if a new technique is viable
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0110.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Lessons From TREC
•I= ncomplete judgments are useful
–If sample is unbiased with respect to systems tested
–
•D= ifferent relevance judgments change absolute score
–B= ut rarely change comparative advantages when averaged
–
•E= valuation technology is predictive
–R= esults transfer to operational settings
Adapt= ed from a presentation by Ellen Voorhees at the University of Maryland, March= 29, 1999
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0111.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Effects of Incomplete Judgments
&#= 8226;Additional relevant documents are:
&= #8211;roughly uniform across systems
–highly skewed across topics
•<= /span>
•Systems that don’t contribute to pool get comparable results
Adapt= ed from a presentation by Ellen Voorhees at the University of Maryland, March= 29, 1999
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0112.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Inter-Judge Agreement
Adapt= ed from a presentation by Ellen Voorhees at the University of Maryland, March= 29, 1999
Relevance judgments did differ for some topics.

Quantify differences using overlap: overlap scores generally higher than most
previous studies.
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0112_image066.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAACC+VdC5AV1Zk+/5kBhhkGRkBei+44YS6DonMdERlqMgLGCMujLJiaxdJaXplSN7wK EmVnZZlaQYIm5fIQS8NCKJOVZJSSWMCKm4CQWTZLwSgxtcDySFYigigFLEQrIvv9fc7p+9/mDn0G 7exu5Vpf7t99zvn6+7/z3763+zAdUkpNBq4H6oA+eUpNIBW+BmPnotuUKr13/NeVItVlmlJN+UoV qexXKcZN1kr9CvFaAJ1VGigDxk+6b6IquGdMnuquChQGX/Gu1E1Age3fBbiMV659hXgvEcd1fcpt n2LIy8VxI+cmxt0Ovb+g5MflW9yKcTvI7LN9VV8bNzU1qRTe+yt2WKkOEW/dsUjEsLqp3no8gvej sSeOMZLM+BGIGrC3Z145ndEjibfdsfnljs06Blqt2h6DX02lWcdS8ljPAQ0q+1gj1Cbse07xMXnb 9W+w/Vlbue3PfbhvzzxGeaDzBqthJ/r8AO8/wEHfwrvzJc/qEqUZ6uO2CuFRdxH/mTL1MsLqlWOG 2rYG65/bdlrl2AGU3b8g0r8g0r9TpP+HKrv/hxFtH0b0tEb6t0b674v0/2mk/08j/TdF+j8X6f+c 8LMTpt/FSsTtrXVXV6Ry1xWJeeMa65s5ZtY8yf5Xq3lZ667226qrpOv5Wr2UHsT5qpV7Xc7yTKvs z0MuL7nPRGAcmT4f8IlAvP4lQ969Tj2qZiHL+apUTcD743ifqOZg3zQ1W/3pvih8Zdcof/fxOaur ct99o+53drrzGc9nW+d5bnPzx3OW6zsD5ZPV39VEXsjWlMXJ+10NzwOagUZgsK3heYjmoeYb0dKo UsTbmWNdzvld8LAy55V5gudhRA9j77wAHEue7aHOTO7bs3R2iPA7nZuU02k0zgXccdjvnsp8fozf 996few4omB83Bx2vMgcdxRywv7l879iGv6uBr5D5HeR8WY1otRpEa9GyFv6u9vD3GWAQGT7H8wyi Z7B3dQCOs/3N5eMzQs+gUI/RsgpwfP4+6kBne2u5Yxs+5rfh4zZgN7BT5L8N0TZ8++1Ey074uM3D x9eU+b7cJnheQ/Qa9m4LwHG8j68JPfuU02O0/DPg+Px9zAvyTboej3I35P2+yP8ooqP4lYJ9QIqO evj4rjK/a44KnncRvYu9RwNwHO/ju0JPp1CP0XIYcHz+PuYHniRdjxpay4AiyuSvaTBpqqAiKgNS xNtxPn7CGsjwOZ5PEH2CvczFHJ94+Mg8Tk9FqMdoUYDj8/exQ8CRdD0OhNZioFLkPxA5D6QeVEnF QIoGevjYH2N7kOFzPP0xrj94BgbgON7H/kJPj1CP0VIOOD5/HzsGuSddj2Oh9Tpgksh/LPIdS71p El0HpGish48jMLY3GT7HMwLjRoBnbACO430cIfT0DvUYLWMAx+fvYyf+/Zx4Pc6B1u7A4yL/Och3 DvWhx6k7kKI5Hj428PU9GT7H04BxDeCZE4DjeB8bhJ4+oR6jZRbg+Px9LAj6JF2PK6G1EPi+yH8l 8l1JJfR9KgRStNLDx2UYW0KGz/Esw7hl4FkZgON4H5cJPSWhHqNlOeD4/H3sjP+Sr8et0LpfmWs9 l/9W5LuVDmDffiBFWz18fBVjD1g+x/Mqxr0Knq0BOI738VWh54ByeoyWzYDj8/exUBX+EerxMF/b AsdF/oeR72EqoOO4ajsOHw97+PgOmfs7hwXPOxj3DngOB+A43sd3hJ6CUI/RcghwfP4+FgX3YZOu RzajlDXrTP5KI9IpKtClQIp4O87HCxibIrPT8VyAbxcoFXAxxwUPH5nH6UmFeoyWz6k05PP3sUtw jKTrcYA294wGi/wHIOcB+hYarMuBFA3w8LEfNm4hw+d4+mFcP/AMCMBxvI/9hJ5bQj1GSxng+Px9 LOb7WonX42jo/T3e7xf5j0a+o/Ul7Ps9kKLRHj7WYuOS5XM8tRhXC57RATiO97FW6LmknB6j5euA 4/P3sWuwnXQ9ztTmt++3Rf4zke9MXUbf1v2BFM308HG6NtchMwXPdIybDp6ZATiO93G60FMW6jFa /hpwfP4+dsN/ydfjcm1+774g8l+OfJfrG+gF3RtI0XIPH5/Cxg1k+BzPUxj3FHiWB+A43senhJ4b Qj1Gy7OA4/P3sSRYJ0i6HjdD743Q+zOR/2bku1kPoJ/pG4EUbfbwsVmb9ZrNgqcZ45rBszkAx/E+ Ngs9A0I9RsvrgOPz9/E6/Jd8PR6E3uuh97ci/4PI9yA+Q7/V1wMpOujhY6v9PB4UPK0Y1wqegwE4 jvexVejpH+oxWv4DcHz+PnYP1viSrsdL9jzUMS+T/yXke0lXUMe8MiBFlzx8PK/N/ZlLwsfzGHce PJcCcBzv43mhpyLUY7T8AedFx5fLR5FrU4Xgjt6Pd6tA8vi55oBs/y9Sy01N2X2clnw7ntujcynX 4TpDxCy8D3XX2ogaVDeahZZZKk28nVnnzr3G8CDQjQyf43kQ0YPY2xCA4wzP9u0ZnZ2szu3bs3V2 ivA7nd1CnUbjDMAdx7f2KbKGUXAV3wtU7tqXvst/OyH9XabMb8IVwpdliJapKlqBlhXwd5mHv4uA KjJ8jmcRokXYuywAx9n+5vJxkdBTFeoxWpYCjs/fR17DyG93/co12mj95vJxI3AS2CLy34hoozqD fSeBNG308PEl4IzlczwvIXoJezcG4Djex5eEnjPK6TFaXgEcn7+PvIbRMfF65PsPfGo6JPLfj2i/ 6kCH0HIIPu738JHXbzrY+xmOZzei3di7PwDH8T7uFno6hHqMlrcBx+fvI69hDKSk6/GiMmuAn4v8 LyK6qCrpc7R8Dh8vevh4Wpn75RcFz2lEp7H3YgCO4308LfRUhnqMlv8GHJ+/j7yGQTrpeuxHBvx9 7PLvR0OpH91EZfjfMkoTb8f5yPclb7JcjqcE40rA0y8Ax/E+lgg9N4V6jJY+gOPz95HXMC5fTroe a+09oftE/rXIt5YG032UAtJU6+HjEHtvrlbwDMG4IeCpDcBxvI9DhJ7wnoDVUgM4Pn8fs9cwkqrH GfZe9zdF/jOQ7wzM/DepEEjTDA8fJ9t75TMEz2SMmwyeGQE4jvdxstBTEuoxWqYBjs/fx+w1jKTq cSmZNcBnRf5Lke9S6kvPUg8gTUs9fHwCY/uS4XM8T2DcE+BZGoDjeB+fEHr6hnqMliWA4/P3kdcw Lidej81k1vdfF/k3I99mnNFfp/eBNDV7+LiezHdEs+BZj3HrwdMcgON4H9cLPaeV02O0/BhwfP4+ 8hpGp8TrsZXM74sDIv9W5NtKRXSAOgBpavXwsYXMvxNoFTwtGNcCntYAHMf72CL0FIV6jJa9gOPz 9zF7DSOpejwPrTcDn4n8zyPf8/DvM7oZSNN5Dx9PYmyaDJ/jOYlxJ4PxhuOkh48nhZ50qMdoOQs4 Pn8fs9cw2lOPuWpQai3WRmOpzuTcRw+lUp2mXkAxYt7215q9TpDUnNdoc+78mtBdA501ui99TfcA 0sTbcXNepc25t0bwVGFcFXhqAnAcP+dVQk/fUI/RMhxwfP4+8jpBXuLnoKl2ne0Rkf9U5DtVD6ZH dApI01QPH+vt/a+pgqce4+rBMzUAx/E+1gs9g0M9RstfAY7P30deJ8hPvB4X2/t33xP5L0a+i3UF fU+XAWla7OFjo72fuFjwNGJcI3gWB+A43sdGoaci1GO0/D3g+Px95HWCWxO/ht0AvbdB7yaR/wbk u0EPoU36NiBNGzx8XKvN7/0Ngmctxq0Fz4YAHMf7uFboGRLqMVr+CXB8/j5mrxO0px5z1aDUulOb 6+xfi5z3Isdf60raA+xEvLdd53K+F/9i4nN+1n7WPxW6z0LnWV1Fn+Kz/inm/KzHnJ/Q5v7hWcFz AuNOgOdsAI7j5/yE0FMV6jFazgCOz/dePHNH7yu7P8iQx881B6YXfbHzV6SP09LRjm/KMZfOiweA D4BpwN3WiwcQPaA+xr4PgGri7XBuVG5PJwAfWz7HMwHRBOx9IADHGZ7tQmdnq297RGfnCL/T+bFy Oo3GvwTccXxrXwX34jPXAIVX8b1QtVH7kT65/F2ozGd2ifBlIaKFqOAlaFkCfxd6+DtfmZpfKHjm I5qPvQsDcJztby4f5ws9Q0M9RsvfAo7P38fsvyfwrd/CNnyM/qYNrwGVuW/7Y5H/ekTr1V7s2w1U 03oPH58H9lo+x/M8ouexd30AjuN9fF7o2aucHqNlHeD4/H3ke/H5iddjC/AbZf4GwuXfgqgFV9j7 0LIPPrZ4+PimMtfkLYLnTURvYm9LAI7jfXxT6HlfOT1Gyy7A8fn7yPfi27+m0d56PKXMmtY5kf8p RKfwjXIOLefg4ykPH48p8x10SvAcQ3QMe08F4Djex2NCT1Wox2j5AHB8/j7yvfjMmkZS9diVzL/P 6EWZ/LvS3dQV19G9aABQTbwd52O+vSbvKnjyMS4fPF0DcBzvY77Qc3Oox2jpAjg+fx/5Xnzmd3VS 9chzzmsxw0X+Vci3itI0nAYB1VTl4WOFvadRJXgqMK4CPFUBOI73sULoSYd6jJY04Pj8feR78R0S Pz/Wk/n3qVNE/vXIt55SNIVKgWqq9/CR/zaXr3PrBc84jBsHnvoAHMf7OE7oSYV6jJY6wPH5+8j3 4jNrQ0nVY6Od/ydF/o3It5Eq6UnM/5PwsdHDx7lkfq80Cp65GDcXPI0BOI73ca7QUxnqMVoWAI7P 38fgXvzlpOtxHbQexvvLIv91yHcdvYd9h4FqWufh4yqMfc/yOZ5VGLcKPOsCcBzv4yqh5z3l9Bgt /wg4Pn8f+V588vW4i8zfie0R+e9CvruoB+2hYqCadnn4+AaZ+4C7BM8bGPcGeHYF4DjexzeEnh6h HqPlLcDx+fvI9+KTr8cT0HoHcEbkfwL5noB/Z+gOoJpOePh4BGOryfA5niMYdyQYbziOePh4ROip DvUYLb8DHJ+/j3wvPvl6LMJF013Q21Nn8i/Sd1ORrqWe+i6gmng7zkfSZt28SPAQxhF4igJwHO8j CT21oR6jpTPg+Px95HWC5OuxUpvfbMNE/pXIt1IX0TCdD1RTpYeP5dqsiVUKnnKMKwdPZQCO430s F3qKQj1Gy62A4/P3kdcJkq/HOntv8SGRfx3yrdN30kO6EqimOg8fx2D8nWT4HM8YjBsDnroAHMf7 OEbouTPUY7RMBByfv4+8TpB8PS7Q5ndGk8h/AfJdAM1NehBQTQs8fJxt818geGZj3GzwLAjAcbyP s4WeylCP0fIY4Pj8fcz+e4Kk6nGNvUf7Q5H/GuS7RlfRD/VgoJrWePi4wt7jXSN4VmDcCvCsCcBx vI8rhJ6qUI/R8iLg+Px95HWC5Otxh123/KXIfwfy3aH70i91D6Cadnj4uMWue+4QPFswbgt4dgTg ON7HLUJP31CP0fJzwPH5+xj8PUFe0vV43M77RyL/48j3uB5GH2HeP4KPxz18PITxw8jwOZ5DGHcI PMcDcBzv4yGhZ1iox2j5L8Dx+a5hdM7W25Sr3vgZRld7PpucA6VyP+8tsr7aNFRlP+csyunaa+x2 W891q7HbbT3HrcZut/Xcthp15XPd9kXa96m2n8tWY7flc/rqLG5V5jtsmDLPZzS+/Gokw7XxvnEq 94sXidKWl/mmKvPMxz6W8/YIp2vLuwon89wOVsfrIPn/oAx/zxz83BbHXxXDf8zy87NQovzHPPjv iOHfafn/Mwf/Tg/+ITH8P7L8P8/B/yMP/jtz8LdV/2f0lfUv23n7XtH+jUj7NyLt34m0fyfS/kqk /ZVI+9uR9rcj7Rci7Rci7Xzul+28Ldu/Gmn/aqR9WqR9WqR9SaR9SaT9J5H2n0Ta90Xa90Xaz0Xa z0Xae+nsdt6W7cMj7cMj7VMi7VMi7U9G2p+MtL8caX850r4n0r4n0n5GX1l/st09Q7Gt+oyOPx9p /8xeb7p2/rDcJdoL8sy/y3DtXex2W8fvY7fld5iLr/X5sO3h2AWMBh5DXk+r7OeYumc18nfs7yLP avyHzJfkqHuC5zI+qmaoUjUpeD4jP7VxPGJzjCnAi+BfZ9+P2Xc+z3SzJH9u993NG7gQrdV/geBf 8/nb+Ub1C3Qd1Vld8bpnzqxHZ5ROmjZ7fun4SVc2qwnBmLeC//27HON9X5ejjx72emWe1Ti+UP4W 4nNoF/j3bzaei7z/RmWfi11bqWr7XPxd4CuKn4vZoGYCjwXefwt75mJrHt7rMDNz7cxMxzFK1UjM zfzguZrz0TZP9VamHnjeeS462Xf+t5JdLYptn66izY1xfTrZd95fIuKetn+xGFsseP+36j7KcS3X M9dy3LfIfA7Wa/Nd/mVw5HpWp/wdX5h9HHWLHfPvZJ51eYjMenZbz2qW54ReNu4jOHk/1+oC4DeW a6g2z7yVNe3aWENbNf2Q4t+N84Knv07DO38uuG6K7Lge9phF9t3pkfN0rc8S9pmbL8J3Ldd6Oef2 cu7rEuZ0cztKm7mdqL+cuWVMtlyP5Jhb1xZ3PTAS7Nf9P5239pwbcj8/93LOz6QW8/YtO2+Lv8R5 e9pyvZBj3p72nLdR+BSW/B+fN/fK9b0gP1O5jpMvYvZCHoe/s0sErzuu7NPW/0eA7MPfeT1te4mN /wdGF3h/DGEAAG== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0112_image067.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhxwH8AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALA0AMgCr AYUAgwAAAAAAAAAAgAAAvwAA/4AAAICAAICAgL8AAL+/AP8AAP//AAECAwECAwECAwECAwT/EMhJ q7046807DxTofWNpnmiaiWrrvnAsz3StsgAeBvyo28Adb9gz/TBHY3DJbDqf0FwIOUlarDFsTZt9 caPgsHg8I5qL02rn22J3m+4VeU6v25Vqal6Ylgz3flV/UjkiZhcgg4IsiWiISIyFOJOOaoo6VomI lYqSFZ2dhZaVd6WmT5NygISskYGsr66arSuGroRFWEeGfrZ7t4J5mHI/vMK/x7FpvrCnzs80w3qv yNS3ssvXqtbJzZ9XU6nKGtLA3827j+N97LPe0PDxJ+KQocDGsNjdtNO41STnAtHD188ftU+HdlwZ qLAhIHfyIkr0cCbhN1KNzmXsQ7DjqnYC/+ltKBaO40F1yDKx+0iLlDeRECfKnAmO5b9e6lxKuXfQ HEhRAUfWFGjy3cpISaQNzUZuaKo4NKOWEokyX1GYVoEynMbT6NJkXalmtfnyn751+MQRlMpWntig +UAtIomQ6E2EnC5RhDQ3IJFNoYymW4RXCKXDC8m2XcxYIlQZj300nky58qnIMDCvscy5s2cnml2E Fvq5tOnTKUbfAKIatevXsGPLnk27tu3buHPr3s27t+/fwIMLH068uPHjyJMrX868ufPn0KNLn069 uvXr2LNr3869u/fv4MOLH0++vPnz6NPPrMi+vfv38OPLn0+/vv37+PPr38+/v////JGhk/96BJbW 2jxeFaigZQf6sNaCEDIYxVsRVrhYgwApZuGGMmFYy1cchrgeHAWJaGJEHoKo4Yks3pFiMNu0KKMz LyZ40ow41vHiFzXm6CMekjSCxl8fbvYjGGeQ02NqbSTZli095LKRTnHoMMCVWB55ggJcdtllQwMO OMMCZJZZZmIaEKDmmmvCCJRUHfkiZVVGAoAllgIIoKUJXvYJ5pIemCnoQliwaaibYrrVS5RyMuOm ZHbeOUCeeu45Qp9e/ukJo38xStiiQW5UgaBmXlSooW3i9CacoQ7i6ZuJ1oIqpQIAaOutuOaaKwWY fjkXI1HixJ6wwGoS7AWknskUBqim2ir/obrailejqt64BgizUmrppb0q4NCjonia16PHWpAsmdNa 0ayaiAK6RDFzzrkiONgaSuu2HnTrLbirhpvRkJdgYsW5C3Ck7rrtPqmVVlNSyJcU2eaJbwf6flst sf5ifHG/FBDcThLrEpAwW0IWazJcTakRcaUTa1DxooeZLK6UfxBJlsegBnlByDAHNqJoe02xcssb vCygBjibwHNnqnGBEQBDE92hjcw1TRo4UUvtmLu0WR3jN1lrLfbXKKgkR9hjp71S2ZsIhbbaanu9 9iNvwz12OQFzgjIVddutNSUMB/6LG/Wyee8JCCSueAEXSDqp3+kVG7i86+zVtwaKL854/wWOSwz5 eZLH6+hOCF6OQeYIFKD65hN07vnn5fHy6uySzxPAyvRhunoBROAe7e/ABy/88MQXLy21Ga8aWQ+m W6D76hQ0D/t2JRNJ+9xCFb7m4fn2uXv09mo7PXmAi34xVLxIz6v30E+gvnSdww64zjDv/TDE4b9O Mfuqg2+4+NtxHcv8JrerBeJ9Enhe/9yXvwFiR4AOhFsByaY9NXFvf176HgP/p7/rrCyCcfPCSNKB QAAokHVQa+B2Pig/EZJNZSrkVgbbJ4ESCgd1CNjg9i5otwli74Ax7N4MF1jDIDoHh6xj4ed8yDGw GZEDJ/TfDvOEwxwiB3U0VCLkfMijFP9yEIQZiKIOLUhFLKJwOEjMYgPBeLdP2cxmJ2FDBQnAw6Lx D4XZSuMZg9MrDXpxih2UYM/Mpzx+ne2JdhwiHg2lRyIOp49q/CIbxeYO6zVsGUoooRiLyKYT7hE4 kFRdAkZJSgOQEYAENJXGHBGTCmARiF8sgRhJOco1edI4oSwALQ3Ay1MGMoSgIiTArJDGXvhOPiek 5ShNqSZPGu+Z/MllKXnJTFrVCprYzKY2ndSzVTpMj6LQ5B2V2ctm3vGTv8klmahZTmu20DDexN4J NSFORU6znAS4ZXHUuQB2VrOOIaQZ8liJATHOEaBhvGOZ2GnLc+LyhOtkKB0R2sY35k3/KRUw6B99 KUuFRhSf+iQOP/3py0n+zYXOuyMsAdlRRS6Umg1VJDp9M1KJunOJKM2oSvEXSxl2aXcvBalD9wnR ftqUopTM6foUuVKO+pRLQP0oM/M5VJEWlaQTReViJGVS3TDRhDs9qFYT+dPVBXWqIX3kVY861qi4 rjhf1Wg9y6q6s8aUro4UTk1hmtVfzkSAcFWqH+SKSJd51KhClelDPYrVm7JljYEFmkII21Mh4tWu 5lQsURnLVr9OBLLEqZ1F9bYHyrL0qQqIKmLRek5yRupOudlrO5EaEdAOB0qWFBw3JmBap1oWqmaV 6l2Bu7pdGoCrXUWNbP/ZVgvEzw62/xVOJV11yVHolKk8Pe1vUxvc1Q6Xu8VNADvv1NzYLLekHHgr FHAoxb4mFzcCE2btrovXpva1pZcVbmbxWgCp4qm8sDmvey2gTPGS17M1QGJ7HStdVSaPoBcw6O0a mLvDSpSqMtVvX7e5TQFb0wwFni2lhJfG3kmSwyh2z7KuZ5MoklO7GMyvd/dL3LrO+L648fAFyclX BgfBjI6MbnCuMVAKJdO4MIaihfmKYf5qmLbQCHEKrqRjAAqqsVB+QVU36mPg4Ja6ujXKkZeJzyzz dsmJdfKNzawCScEgxLw8wZ2qXMbMSZW5CI7BloXs5WeNFqNLzS9Wcbxd1V7Yk08GsP8LntsCOMe5 BJKisxnvjF4m7FmSkW1DQTnLZDaD1aUaRvSaFd1m5I7AzRIglT9LgCod65HSA7a0ZjlZ6dsKNoGc LjOpA11jzDa5xv0ddZ5RAMEOMFrV40U1swzl4UbCuss1uDQg33ubuOZ6qp4u6o1FfWFPe0B66gUA sqnJ1QuEmMa9Xm0119pjb6OgtS+OdTwUPKFbf1rQ3d71mUG97XMmetgnMF2xU33lZE+qg45GN3iD 3Vh2ixjgLoD3NGv9DHA6l7xlsLfDsa1vXPP70P4WNrVHYLqsjfvhFHA0Mz28cYoDQeKdHbmcMV6C Rl78vxmX7Cda7tsYp7vfGRb5DJT/meQKmLzg7X7dyVfOcwE03d1bCvqMoQ2DcPt84SgELGSU2gOe E/rqhmYytzvdcQ7E++sWOLqZsKx0pJeT5dd2uQ1CPnWopxe5Iw/pwN9w0b785N7pHnS20czaoOcb 4huAc9HbS+il+9bxvw68TZ9e9hTQPebGLncG5grsMaJd5/Ji8W49jm+yIx7wC/f12HV9egwkvOdp DyLkuQd5uIOa7a1/t9QxvwG8p6mwjRtASG14tdBXNyT0lbzp80747+6O4ct3wckX73laIfHZVnY7 0+NOR8oDnNE+fz5mqS6Bve8M+BSYc1WJnzLBid5nXjczlZuPbvELPfM0nz7sjZ6//zRiv+1rJ1G2 V3oP11VWp2RqVncAxmcAcG6fxznqN2vvA36DoyqiJ2bct2HwgSXaBnKGt3wbiFzXJ3LuMSvOpm6+ NAS113Ted03sAUEVloAxV4InRgSvRys02EnnNATH1B4C1B4WWGTylIG0cgBGeIRIeACRRn+RZ3+H JwBJGIWu438iF4UH4IBO94FJB4VGuILcl4W311lWeIQrM4ZSOH8yuIVjWGAlhYQq50tmeACtdk5k 2EBxqIR4Z4XzI19DGIZkd4d4GIEy5oFqlm+AmEeZE1WHZ4WK131aKGJI6IV+2E6Ud4cRA4hGKIhY N355soZIllVJOHtcGIdzKFN1+P8/h5g/UTgukzM6SRB/mFiKgyh2IddtcXh2YAhsT3aESHRP6/aI 1cSLWARrA6h8s3WLRDdRmOg4l9dujMhj/ySMi3NWwZiKOmiKRjgrsWgveggt9fONLXZtmHiFynSE HUhN5liL6BiFvThNSKiOvMSOk6Zu6ViI7JSEQHZnRrhc9UiABgCIcDaOZtiM8WiGJ4eP80iP8qg4 cehJAhmF5WiGHvKK4giQxtWPP3eP+wiP/4iQiahLZNaRG2mPBSmNiaOIGnkAHCmSJ+hPIzmJIrlx d+hoD2mFBCmSVniQJnmSNqaQO5k65BiRDlmTRkhOYxgrCBJhFemRimNcMUl4GLn/iavFlDwJfSWp ko+IhEBmYy75klLZlVhJkgXJj16Zej75jL6Ik0QZlrooVVaIQ2cVlWG3jkaYRgHJlsBWYBZ5kavI Gps2iW+JRff0jmhGmFqolS15lXjphIoJj0nIkYbZlikpW5FpjHfoduOolxhpf4gVmJoTVJVplp2J mJojSrsUms8Xkcg4mH3pl0oZhmOYj6Mpl93VmOr4mLeJm/YYhblZmYzJmx+om7ApnJIXh3BpVAKp mZsZdgtZmi9FnKJpm/ZEZtCZmqRkhiOomAeAlKvxmoIWmx/JlTZpYcBpeOWpZmMYcukZdOtZiOPp ntBplmpZloponB+5Tpmpmr6p/1rvKWP9+XP/KZoBap0JAJ7hiZ9J6C67cEINeUcNqkgPyl8DSYcT KqEVCmwRinUZ+nwXilcZunCACGTjiEMbujsfaqIdCqIpiqLtaaEGWpoFcJQKihB4qaItWmMnujo5 qqM3qqEdyqE/yqL/CaQ3SqTn6aEryqMvWpUxGqJYVKJKOqBReqQ2KqWqs6NX2qNGaoTc6SCk5Qe0 2aRJKqZamqVjeocMCqWAyD9rCqFQSqZUCl5oyqZviolINKdIeqY7iqd0xac4qqcJugWuWAWoCadS 2qYzhKhlpajAhYns46iJyqhmWqKM2qh+mlqQuqh2+qR+OqWHeqmTWqaVGqqfGpSogno+hQCd44gp q9onreolr/pTsYqpmQpVs2qoRVqrXTKrCnCrvqqruDqgukqrl8qrwaqqq1gjlJOqa9mszvqs0Bqt 0jqt1Fqt1nqt2Jqtz7oklJNi3vqt4Bqu4jquFREEy7o8bJOUQLKukMKuQeOudVIC6Kqu8sok8Joh 9UqvNrCs49OvcDA6/hqw5uozAluwHRABADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0112_image068.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAACC71Zz28TRxR+O+vZOGbtUogqIVG0lSoOiIYWnEpWe+hSYfYCpA0ViWgPUWoqSzGO bNqInByqCqnCUi49lFv+AA69ceDAYcWNk6VwxKp6Rc2lUlWQ0vnhmV3bSfdlJqmtOOPnN+977833 vk28L54/ewjisTRZmpgnfPX+TQcmAdzfSgAeBOLTKfZz2nsLTsEOe+TE+xvN1rcluFJfajXbzVt3 Av6eMvsREYWvfFKaWJo8yVavyVGYEJGeEIkHZO5u+06tAZDnnvCzA1BgeMk6x9YfODIScdgCZKSF HUhFyn0GFz9vNupLwdzi7XZwZQ5erZ6592r16Xd/rv6YKywkkRwRaZLt2hGrKeJDU6ymRXRe6fkC t5XEDtmTsN2utdvNVnC51fx+ZQ2+YM9vxOs8zEIELfY6DzdgYRBJ1T5FztwP/khyV9jpesbzOeEl +bwzyOeEN8HyidkHW/m/4NoPtdby4gr8JPKYhWn2isfmZ/BGrHgTZV8IP21413sPtqHIug/wqfZj h639XHFS/6jzYxGkPTfA5Pv46jgpstWwr4pBxe9ttmcc2x9g7xcN2CmM2nwdZxhxmyFm9cCHFcpj YvOIdB6PqSmmI6pX+7MwuaeqM6bmdfJ+YzFBYwLDHLX5FrX7cMwFXUd2HrHOYytviil5rvZnY27l FbN3x9yts/uPDvB7ftTmW1R51vGhiJ6oop6eimM+PRITy6qiZlDFMWeQxMT2u6h7W3H27u3eKn3J SV81TgqV5rYjqavGbKveWGzdDU4HIVPnWTgH94Raf83UosF+1g7ganHJ2UhdLd4e5LHh5VJ5TJfP fxTBLfE8yGtEwpCsbnNP2e2qY6fJFSdCY0ZgzypZJ5bJ3FPVaaeFFSdGY8Y0m8m4OrHTwz1VneaY n7CJraI5VNUcWifmHJKY2POs6vNcJ+bnKTGxva3q3q4TE2V6QMaVidt2V6aLuypT/QCU6QEZVyZu G1amSvkwlKlDsKzinrLbXWKnTB0SoTGVMnWInTIl+7MxFZO7xE6ZOiRGYypl6hA7ZUr2Z2Oq6ela YFbZxHbRHOpqDvVccw5JTOx5dvV59lzz85SY2N52dW97rokyvXTTynRcKIK0pf7T5pqUWztAHXrp jusQt438hfTxYehQwoes3nJP2du+a6dDPTdCY0ZgzyFZJ5a33FPVaadDPTdGY8Y0m7e4OrGzwj1V neaYX7H57KM51NccmqHmHJKY2PPs6/OcoebnKTGxve3r3s5QEx0K6bgOSVtKh5aXgwtMh6bZM9qH KvwX6rgOcduQDl348FD+UytTLIe4p+xtSO10qEwjNKbSoTK106Fkfzam4m1I7XSoTGM0ptKhMrXT oWR/NqaaldAC8zqbzxDNoVBz6BfPhkM+JPuzMLmnwozGbJt75PH/I2Knh8fE5hHpPMyZLE8YOz2h nh4bTNlvLCb3VJjqu+fEtunZTTGPic0j1nnYThR2ikM9xTaYst9YTO6pMNU30olt08N+B37YiMPX enl38O/B3cENJ+vu4H23sJLcHRz9qyEd89FozGPX641aO7haWw2+bDYWb4OK2XcLvyYxc6lI6m6m KyL9CwCjVk54HQAA ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0112_image069.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh1wChAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAYAAQDG AJYAgAAAAAAA/wL/jI+py+0Po5y02tuA3rz7D4biSJbmyQXoyrZHC8fy7NJ2/N76zpdqDwTlgsTi 7GckDpPMpgjp3C2jVCfUeoVNO4bqsevNehQ28Fes2XpPZCo6zaCZZWr4e/1EzpvvaZ19B4iGkEII kLBheKiIaPfTVbcHtwhlCAbZ+BQiSfmol4PpWXiZOcbZRoaKqGrZqsgl1tYpujgbeCh0CupJqJq4 WgobS7tXTFoLKzz5ousIbLcsasaZkpt7vEuJTCr9eW2auTQUyqs8GX2enLHtje2t+UFNHo15foye bj76Ks5tfJUN36Ysr9LVqzUt0KBhjpz9MmVQRcJvyaAVUkcN2cWJ/xnzMSPYrttDePEA+rM48qLG gxr15UMIzNVHmf5o5Wmka1evYPEGLlDpTCLIoEILjqo4klG/hHP4TSQRbmGlnX+q3ZT0z2bKVEaP 4vlqouMYsNagiiUL9qxVtEBvsn2L1AfclG7nwlWbyG5Ln3r7yvVr9hZgu4L9Vh2st3Dfw4jnKk6M tzHax4QjS057uSSGzZw7e/4MOvSDzIgpO7ZMOkxqr6sTt0b5+m5sxrGrmL6LunaS22/9HM7Ng/bL HrzzCBuqJesd4Dp4ajZSnKKtqcV9D+8t1AdzNsGfrhT+XGW9gOSaZvvYFpzgrlLay/u03TrMVkR1 zpwJG5x29jeic/+5Lp8LykFzD3rz0cPOdUHtJZ5/IziYBl2dQJScSU8VSEx2+LgjlUOa8VdGGXFo UxIOxsRlT4bfMThhWbNcA6IcIv70R3wnppdgghwNk5F5fcCnBHHvuMhCgMNhSM9O4fkkS3rbQWVi iUT9EqN0L2GlIjtK6vdgQCg++WCUFE5HJXisTQYhHmmuYSZ0YGL2WptFvAlna3IqsSabs9GpW3N7 5tnnEX8GyhagbvBJqKBxIpooDoM2+pWhUdwJqZ+LioZppppuyikFlar56Ke2hSrqpKSWysepqO6m 6qpznhojowIuR2mRQrqEY1gDDhQpf84R1x11WPImn6xSaCilsWP/HfuOb8TeOB6STdJnoIIN8cpi cO4N2VS2gVVUXoYjckVVfrhSqOx//UW0lbVdWshNjgaGgiCSMLK0j6TLyhgRThIKclxSWbrzkLTv 8ZJTrdzJMW5MTepqEoryiiTQPti+OGa6eTH8U4Mdo2Akg/ayhG+ZF5OIrsYRdselxBB/iZzBz7R8 b1cPA1EdQyZLWeSN/46McMnmqgdglSEmx7O3StdVqL6pXoqd00xIvZvKK1jNKtRN10a1m127urGd WIO9sthfk312EAqTvbDZbGft9tuvai232q3Wve6lne7Nd99+W4C33XQH3t7ghOcd9+GWJq740Yw3 rujjLtNMtKiG/2ZFOcBW3stk2qMyW+ZSz/54i9ACfwroONw+GQljIN4DaZ7IIgWmGjefC67npuad 04KzJkt6tflajjjmU/YM0q/28bi2YTOyQvttW3wcve1DJgphBtNfrzlQ1p/pcaWXc88u8jDXbL3R q+XM88e/futk8EU37zzSGU9ro+6o6g865I6vPza03c1/VxsgAdsGQP4Rz3AHtBUDGwgyA0IwTA+c 4F8kZ8ELJjCDDsQgB0mSwL+JcIQk5NsHI1jBE/YkhSpUlwdb6MINwpCCLwReAxXYn46Yx1rvE19z CvK9CvHldB+in2TS5D4g5m+IKXJRACeTQ4HZRH1LChgRuyTAW52t6Fq/U8+FaGXExsiOPlfKmc6+ eBW2jdE7PjPfcVTnrqGhTkhTjJgQ34hGs2SRZVv8V/e2Yq/77fELUkRZHJlWxiYWEYeqsZ8thhc6 6bVxYkx6G/t2Br7bwW+Gm5DgDBnJMU6CMDVhbBwozyDKTrKQk6ekwxNd1UoTxTJQs+xiKvclw1vG kJSvXFUt3ajLteQymGULYQmPicxkWqAAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0113.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Effect of Different Judgments
Adapt= ed from a presentation by Ellen Voorhees at the University of Maryland, March= 29, 1999
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0113_image070.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAACC+1df4wV1RU+d3hvZRe3Rdk2LbYGGq1UQZRSksIfRiwWG3EJUsRGW8Uas0QUlCqm pV0TWkWtrcSkUJtCa8VWMNFF/IHG0lKhBtAKK2aVpSurIBqVaANdom7PN/ee2TOXmff27Xtv2Wmc l5s7d86dM/e758yd75758QwRzeaUd+mMQUSnBxQto2cSNX+TaMSUaecTGfroJqKdNURDKL6M4P1m 8347ef33nLgyTeU0kdO0i789gwafd0EN79XMOkyv84uuHsn7D+b0FU7Hc+rmJWlbHedDVXukzqmu Tj3DSNJxMqcvqP3OZhxjGcdXef1LBMR2MVGN7kinUfp5aT7D6fL7Uuocx3V0/XLbpsx0VNsgG5XQ zr624VJO3+B0Kyv+hBV+2W2/k8u/xLG4bT/g7SeqY57kbPI9TksNxdqm2zDB1WsObD2933Aua/lw T/4QxeUPeced6MknVqAvfHuk9UW17F7MJ8Xu6Oc0e+h+8P14gqrXpfp7pisXki/15Es9+XBPPtyT a3uKfbV8oief6OHq8vyly/MXdEpa+2/35Ld78sc9+eOe/A1P/oYnP8HE5Shr+Tme/BxPPs+Tz/Pk 93ny+zz58578eU9+2JMf9uSnBHH5KV7/zvDkMzx5sycX+5R7nuRcGsPnyRkVGG9ncBrHaSnryldY X+CN33mKL2njt3/uD0rYxz/39fbTXFsCpaN5RPx4aOeFxup+i3Hodj3Tc7E5cSY10Ty6mm6kEXQR 5zdzPoOu521X0nVc4TAtMcDVEKyklnBtWHDQrTWEeuy2vOlw2zZQfSD17FpD0EKT3LYut9YQPElN blu3W2sIZtMCWIY+iloY+oKpC/ODppZqOT8S6PHS1qh1NWrC9phAJAGvQuNJuUvpFrqE5rr6g11O KYuJlp5+RV+e72z3GRIuNHm63SMIksbnBWQ52QRVXu/0NJD1LatnyvRk3SambyWnW5U+lHeWpC8I /UP0bed0j9KH8q6S9A0K+0X0HfH0HSlZX45/Y4zoG2Xs2D1BlfeVpC/Pv3FR+2bx/vcpfSh3lqSv hn8nR/qW8P6/UvpQPlySvuOsf7r9W4y16QRVPliSvsH8q430dfD+q5Q+lPOmFH0453rsUc/Os0Hp Q7m09tVRncI7ifdvUfpQ7ipJ3xD+nRa1r4n3f1LpQ7m7JH12kXOeR4lmPQ77fF0PIGnj/Rcpus5E HC6gZA6dU3OPuZwu4bSI7Bjijyl9vZbp9qRd19La5o+FpYxhgms5GslpNdmxzB/bsoMrCH+CazOn X3NqJTsG+mNsdnDZMV1wfehw4VqocclYnx1cufAnuEYynts4H+uuMf41Jzu4cI0LAsHVyO3/LeeX u2udf+3LDi5cawdF9lrM7b+b8zvdNde/BmcHF6759RGuNcbG2Z5y136fC2QH1+CwjuBqc+3f7ziI z0mygwscqGfcqGGlT5Gd/2xQuIQbZQeX5WKCazwrfZTzyY6T+RwtO7jACWsiXHNY6ROcz3fc0OeK WcElXFPzw8fI8sP1FOeH6zOFC7/NMX74L7L88CWK88OXMoUL7DBnND/EXL3VJc0PWzOFC/xwjNH8 8GWy/HAXxfnhrkzhyoVRIc0P3yTLD/dRnB/uyxQu8MNGo/nhXrL8sJPi/LAzU7jAD4+L8cNDZPnh YYrzw8OZwgV++FyMH75Plh8epDg/PJgpXOCHPeMG+GHOWH6YN3F+mC/jXkL/46oNf5ofwl4NQdxe EivLDq6j+eF/yfLDLorzw65M4RoSPvOg+eEnZPlhN8X5YXeGcNmYZE3s/lKe4ovoLXR/SfPLZk63 kJ1flxP7xC2otPsjt3n7S+xWju/XFTl4790F5HOLyBc5/X21b//YFNx4WNAXm2r/S7IvePafOD3I aR1Vx77g7Gso2b5yfL+uyMH/WwrIlxeRr3b6B7Z98cv36ZwtZl/MN9aS5eZPU3Xsi7nLOkq2rxzf rytyzHk2FJBvLiJvdfoHtn0xV2o01bAv5l0Poy5vfIaqY1/M4R6jZPvK8f26Isd88OkCcuxfSI79 Hx7w9rVzxmrYF/PPRzg/i/O/Vsm+mMs+kWJfOb5fV+SYFz9bQD6yiHys0z+w7Yu5c21Vrr+YhyOO /H3O/1kl+2JOvzHFvnJ8v67IER/YUkDeWER+udM/sO1rYwjVsO9i5/93GXvtqoZ9Edt4LsW+i73z T+qKHHGSbQXki4vI73T6B7Z97fM11bAv4jJ/43yDsfHqati3xY0NSfaV4/t1RY540YsF5GuKyJ9y +ge2fRFTWlqV8bnN+f9bnL9WJfsi1rUzxb5yfL+uyBE3e7WAvK2IfL/TP7Dti8hadcZnxOng/5/j fE+V7IuY3y5Ktq8c368rcsQP2wvIa4rIG5z+gW1fxBjrq2JfxCt3cH4e569Xyb6Ifbal2FeO79cV OeKoHQXk44vIJzv9A9u+iLWuqcr8F3FbxAAWBPa+VTXsixjwayn2leP7dUWOePLeAvI5ReTzg/Lu C/eHfe27C/nU95l0/DzNvn4d/X6D6PBtOIvTaLIx3pvJxnJ/bnHQAt6yiEtzOWFdx39/WkZ/6vYW 61tDyf1cWt8i9nuaEayId95PNq75qMO6kres5tJyTljXsdCHMoU1iNkVsb8/kvX/RxzW7byllUub OWFdxwX/kims+OUirIiDIY5t3PwZWI/wFmM2smxjuK5jZOXMqfsfq42PCVbEhPBsEmI/mxzWUWY9 lzexbFO4ruNFz2QKK2JFNFmwNrr58eWOZ4f9YJ7l8jaWbQvXdexEz+MHPlbETXp8eLGbSyIm0O6w LjEvcrmdZe3huo4jVOK5oP7DihjCmGgcxrx5K9n5cZvD2mK2crmNZW3hup5Tl8PR+h8r5tObIru2 OYyYK+53WDsY436zn2X7w3U9v+zIFFb7PqFgxXwK98oaHJ8E1vrgZS53sqwzXNdzrd2Zwop5Vs/5 Ot61H3OItx3WScFuLr/NsrfDdT3vqMRzYf2HFXOOHqxz3DxpvptPAWtTsIPLHSzrCNc1B9fzuYGO NRc2a0w0v7JlNffpjnH85PfSvDrCv7WO5hHxdp9OPc+IXEGWg8+j+LMW11SgH3HsYv2Yo+Q+La0f wbVzES5w7Z9xeoDTXQoXePUvMoUrfMLACC7w6mVk44D6XRNw6BWZwgUOnY/s9aGzGRQ+oHAdoQq9 Q9NvuCxfFlzgy7/j/Exj5ziaG9+fKVwhN45wgRtjfnqZsfeENQ9+NFO4wIN7cIEHY35+h7HPqmjO W86zDP2Py943E1xrnL2e9OzVkjl72XfUBBf4LZ452efdSwOXfTpTuCyXFVzgssAzjPMXKH6PQN9P HPi47DPIggu8FfGDczn/O8Vj45WIFfQfLvsMsuACR0Vc5/rAXqM1H92YIVx5264oHizlKB6suCZk wkdzpGPx8TrCR3NKB1G83eD6Z5Hlo7j+Ix68zu2/gLcsorWcr2P52rCseeraCvRvdy/6N0/JfV1a /9pvKQhecJ5tZK85r7pjrOQtq5nhreQty8N8W4y/6vvNAx9vT1wYeHFuIM6EuHC7O8Z23tJKuzhv Z/musKx5bUViTf2G1357QfCC1/6DbGx4hzvGEd5izFbOd7B8a1jWfHdrpvDmYufvSBcDR3z4BXeM UWYjl7dw/gLLt4RlzYO3ZAqv5cGCFzwYPo0Ycas7xiyzmcvbOW9l+fawrPnx9kzhtfxY8IIfI8aG OHGnO8YS8zKXd3PeyfLdYVnz5orE2foNr+XNghe8+RWyseI33TFazCtc3sP5myzfE5Y1n96TKbyW Twte8Om9ZOPFB90xOsxeLh/g/CDLD4RlzbMPZApvT8wYeMGzcc8eMeMD7hj1wWtc3sv5AZbvDcua f+/NFF7LvwUv+DfebUTc+GN3jEnB+1w+xPnHLD8UljUvP5QpvODlU6YLXvDyD8jGjkG8cIym4AMu d4Gbmzlh/kGMr1fiXchq4K1Wm8r5rmaSblnkW7lZ0d3tlnGs+6zAbrP6ulOfM9L2Q5/im524Xr7b Hf9m56+jYDxNPi/8PmcTXUUj6OLwO534euc0Xu/d902oRIxYKvosEZX3fZO0JembnejLmS6dw+kd ln0HbQxkTrrzXCSRYduFKfqnkx0Tjnf6rnB98WOn814T1ymyQQV0zgx1nkln9/RdeH0R/WOx3ek/ 1dMvst7oH6f06/ZDB+LL0I8+9vVD1hv9Xy+gf7TTPyVB/+he6h/v6e/reavPyUqPCUm6v2Xsd5F/ Y+z3jIud++CO7/Tx3C92bfPPr2PxfRMs5TyDSClL0rmPvoT/zOd0gbHHvYfzk71zX2QYK9L8cDan i+kW7u2FdDVb4LNk/zehzqUhru+y4pfwOTybhGdNf2SK+yX0iF8uGWRT5JdDC/tlb75vguVYft+E qDQ/POr8SlmS/BJ64JeP2bbTfGP/j2GhN76L7ARK90v49rl0E/vkDdzr13A+gq9TN3B+FVvjRk7X h9/xRn+Kn0ouqSZhe40r16ht4gu4PvV1jDomfKPE75tgKef7JmlLki+gLyUGPriEY/Rl/JCYPOrn vbZp35T26PlFJdpzR2Cfpfgat+cKU13dafcfNNa81/c9epPfPfDmW9F3mpcFNq6+KrDftewN7/+8 W0dd8bMVbv+kMVeW3p5nvfl/EyzH8v9NiOLvAyS9f1Hk/00Sl0JjLsbLB/lgf+a8PXCx9XAvO+aK rBgXuJD7/bpwtD07mmfosRPntdiYKPvnEcbJtDEDMj1mlHru1VF55x7uA+Pc20TlnXubKN1fcE/l 9cA+A+v7C2S995dxif5ST5/6S77APpX0l39z/gfO36N4e7Ek+arf3mLvjMGX9nn7yztdcny/rsjh x+8WkC8rIl/l9GtbaX/3/fuHZP0bffEq53XmaP9+z/ZhwTn6NPZtXIGGUZxb/j/5dCn+meZX+l03 36+SfNqvr/mvPN8Mn8A3gGD7ocbaakUQmFXBULOME9bLGRdrE66jPyHrN/jfq/8E9p90fL85wXGY NL+5jFMjz1WaeN6C0fFKujac6+h5hz9OfupPdonGqe7S/Mmvr3mVPIsEf0KscSXn40x519TRCb5z LVnfGc+y3ZxPT/AdyICh0DX1u+wzMr+VeIz2l099xS7R2FOir/j1dVxI7o/BV6a6sWeWs9mKYCqP PY087szi8Qf51LLGn8YEH7qXrA9dwrKRbg7j+xBk2CfNh3Dtu4C9Z2EYPbkxjJksdB4lPqRjJjo+ 4sdGsuhrsiTFF7U/JR1Tx1ygXx+z1tlO9Ca1QddP+7/XtPqI4TS4ukPd+v8AVJKVM/x2AAB= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0113_image071.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhxwE4AXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAQABADA ATEBggAAAAAAAAAA/wD/AP8AAP//AP///wECAwP/KLrc/jDKSau9OOvNu/9gKI5kaRloqq5s675w LM90bd94ru987//AoHAYUxCPyKRyyWw6n9CoziitWq/YrHbLPVK74LB4TC6bXd+zes1uu9+vNHxO r9vvXgF+z+/7/XJ/goOEhViBhomKi4xTeo2QkZKTiJOWl5h1lZmcnZ5gm5+io6RLoaWoqao4p6uu r7AGrbG0tZ6ztrm6kLi7vr+CvcDDxHTCxcjJZsfKzc5azM/S007R1NfYQtbZ3N2sjzwLaN7k19so 4OAp5+Xtq+zpK3rq7vXD8Ovysvb89/Ss+QL+k2WioMGDCBMqXMhwIC+HNeKhaxCnn0VV+NC1gLjv /6LHUewIStRY8aPJTiHDnVyJKeUOjixjEnI5RaZNRjRzwLzJ805OgD2D/vl5Y6fQo2yI2jCKtGkZ pRGdSoUDlQbTqVihXfWSteuyrUTAeh3bpOoMsWTTIjErw2GAt3Dfqp0bFm0Qt3Hh0t0LhG2RGHL5 CvbhFwbMwIMT67TbF3AAxZCLMv4Bc8DjyJjbTib8YoDnz5lDb9zcA+Jn0KJTTzzk4vRp1akLl2Th GjXszLLHtajt+Xbo3Bs7u/b9m7RK4b2J4zb+0rHy4qxhIH4OGTiLw5epV2deU3p27Ymt6/MOfnv0 FwEIlFcsXgVMAurXD24f8AX8+PL30ifp4j7+/P9z7ddRf/7xMACAMQnoln/wTSfDW645iCA/CrqQ HoMEfDcDbxpOaE+FLWDY4A28eegRiCyImKENvB1ookUorpBXXCTWRseMer2oCXc6WYhjhzGUeIeE OlLFI1As/AhkkK/hQWSRbsSogpI6WMbHk1AmdWRRPuKoA5ZvgLkElVlateVSzvUgJno/2tDml0tG sWaZ8pwZFXlqxklDcjvMmWYWftK52hXY+RAobcPBaaieTxxKp5RJMjqDoykImQOlkW6BKZSQyijp g5/uZimJoeIJaKn9GGfnWaue9WefqKrQIg6JwgrnjLb2RI9Y+3U6ZawtbDpqDTbmisOblwJbj6r/ hLba1quKVlkrscPu2WS0PGzazq4afSHOdc2e5+OiBtrGYrUyoEuDtilsiuy670oSL7cEdVvfvVH4 2q6ynuYpbbHnTnsDuygQrG28kcw7XjyPDOSsYQ8bBm2yav5X47XUAnwsv7/667Er9DJcScRokPat e6EUemuGOeIA3w4CZ4zxwBzv+7Gx7yycz0j4QpHRgANCBFMBBcB6X8s33Jctx+pOWrMBnj1NsAFT 48RARxKdvA59PzskNAxEEw3n0ZgWiDOtM9MMc8xuPk212zd1XafDFIQd9gYXkr0Bgx28BYJlHwDO AW8dCO6B3w0l/kAmcgenGwt2230sg5RieDbF//+aK7Pm1qbd9nyb8ezebCtEHrbLGMaat3+okrnx 2p4zqfHmLmKrX+j3ij66C6bnIGKsKraOMLyZxw5D08ixTbxgIZ3ccMpgn466iEn/3raX1+d1sfLH z74h8hM3in0z+qIg9q3aZ58+vBfSqD7S33OfLp/bGw/qFcMT46vraic7vtPtgx+ocFW/2mEuB97L mBaq9g6SPW5cN3ufAL3DOkfBhWWUkp/TYEe/gHHuCRpkEwFB4kDHjYlf/ANVBVWXtwluMIKvK14H QRjCSP3vE+ULgrvyZ6HUsZBsLLxhDQzGr1lJ0FFG3B5GSgguJhDxSz4cGOWCOML+Xa5zNYQg2v8S KDv7Hac07ckhEJ7oO+pJsYI0E+LyrojFD66xgDOcXxaRxJ87Aa0aTBzPCWFIAxVNz2zXa5ALRbg+ K27RjW8s4CG92Jy7SEGMPyAjG2dwH6K9LI2CtKAaXwi7cjGNka3hImd2N490bCKP9SJUEyRpOxtU MmyXHOLqBtmlQgKwip9D4ByD9cld7ut/IWtY0EyYL5hQZAgRY2UOzqeD3tFshWm05QBxKUsZGtCQ i0xCyHZWx549AXpKSKbUaia5ZZquaG6CjyVZFk33yXKT99OlLzvWAytpU2fdQgQqtyaxcK5ynDtw 5g3O6Tu7WYx90nQMPMMnx3najI+OJCU3u7n/z0GRLiz/hKgMzonOgZYzaaY76DTdidCEchKOk6ym Nq8mTJJobSIvLQtHHIBRJhQAoOYUqEc7utPIbYyaCs0kCosoyngubYniQoL0UhoDneLgps0kaCvf KdR20hI5GlUpKk5xtZoiIQCR2xQzc8rTAz7VpztYUbKgeUSr7pBcqQBnNymTBLCaTlkfNSdcozrW MvIAkG6lIklzedS4znR32kgCR8v6oLsqa2oE6+v00sog/5mUkIMdaWb7CLdCyPWOdFWsU2fA0cAy 1ag6IEABYlk9wL7zsl3CoGA3S8FMloKrMQ2taJdqg9K2darYBKkly2g50wYSg4H9oW1JAcke//C2 p5KVE075OtzWrlOkQaUtm4CY3DOS7bYVBe0RGNvTBU73rGhFL3kBKNtnfveIqpsieMdBU2SyIbpS UGYNFqte/FKStelU7Wo1+Zb2ujJ181UlLfS735BC97k1UNqlBGzJIFb1wJRbizfPkLKW2nfB5+0v dSH8XwkLN6/s426E/dhdxIbXEf2ch1dhsUOgkta/Nybxf1eL3aZKtbU9Vihsa2lL3akBeh6OaCxq PGSwPU3HMlDnOk9sUOICOLivLaSM06A1cZQyC0ie6yhXkULpqmm9lIxckF+QXiBfmbA/reKWsSaQ fIr5m8bc8BfJvFAnhjjC51wz73AcAzOatf/F9pIxnYdpZDwnlScMzvFoaQBVK7sWzojex5xFUh9F i9fRChZKpCUNZdRiuLLALak7R+LpVg8zXMGpb2KPMmpSF/a0poZvpwXiLSN46xDhffEuap3jrJ40 1bcINlKYrN2NPpaHPt5rgktyJmHrArLSvpRzS03azs7ksHpupKi9fesqTJrShGYcuO+8Z5tA289X 8C10DfsXdovb3e/eoxXk3eA2i6IVuR2zjhh4qbs+mNuWaC54CE7dEac74Xn+dGmyxPCo8sDf/z5s khsDpYpL16439bjP1gJuTyt54OTGApqRWRU7gdPkHC+SyO0Q5EZ7zSokL0LAJ26iMk/izRT/5Uoe ILYqa9O6z4wwMWK5SQVTMl0d33L5ujUsqE5cGrRfbqnWU7l1iYOx3lSveiZQvXR70TlrjK7z0ONw zFmL/RLFLfvGXa3piS66Lo9+OyQMnbugo51hasd7qPUeCRbPTXTPa/qrvez1cHht57ol/N753m5Y 67HxlZe8L4yuz7JfJxCQN7rmdySgOo1mcU0EWqMxP/qgNC71sG/9VF7veZEo7va4z73ud597dfMc 62CX/exxF/TgC98ptDeK6I+/eZP9uu2xZ/5RuGrve0t/+hqvfo+ufwl6teHlrOcS9wvhOe/Xngvg 39Lyxy8E75l/DbhVyvrZ/4MkUvTLLlW8/4KUTX8/2P+OUWd2mrZxPmNMshZ5/YcH/7crf2d3FfVZ BGh9CXgH7md6LpV22rdS/XSBMTeBCsg2gHeBIRh+azcbEdgdHmg1HqZ1ipeBOadzq0dHKbgSvaB+ MygTHQZ5EniDJzJ1NsiDNOiDMwaEPQh2P0iEHwFw8oeEJqFwTJgNOXhPT3gRnyV0U5gqERd2V4gH 0Pd9M9WFCLiFarByU+dVaOGEYpgFUFaGH/YS/JeGZ4BxIph4vvZ8dMhpKANTvrY1wqRPEVdtcBiH k/Y8/LGCq9FqrFaIgYd//xBmJGhHgSgG/LaIaod2XKeIqWeIupN+QxiJYHBuhph/UBdrXP9mQprY M5zYhp4oiWuIiXd3gr/2aovngJ8Hg4C4imSAX7LGarGohzCFMqNYiC2IdV/oT7jYDUqohcdoDkxB FPO3jIaQjFYIjdTQYcZIjdX4htgoDWi4jbkwCzq4fd74DKcUjjs4jsXgh+H2e+ioDOX4iOLXju5o gFIoj8kAjrdoj8hQg52oj7/Qjf6IVIMXkP+ojQTZfHl3kLYAkApJQgnZkLHAkBCZbA85kSBjkBYZ kRiZka/gEjHFhhx5kboFdSAZkgL5e+93eSYpkmOWkue3ktP2RS7JezRZkzZ5kzg5Ab7XkirZkzC5 VcxSfA/0k/RGGS24c89IlGEgkUppNRX/2ZScwJRQmQhSOZWetZFWGZVYmZUtsZVcCXFP+ZWRUJVi 2QdkWZZ7cJZo6RNeuZZOOZBuKQlqGZdzMJd0+QZ2eZdeGJZ6OQh52ZdH1paAGQyCOZiAUJiGyQd/ mZhjsJiMuZSI+Zh24JiSiX6RWZl1eZmYiZeauZl7CZeemZadGZqByZekGSWjeZpPkZqq2Zis2ZqQ aZqwyWGvOZuWKZu2SQaUmZtMsJu8GU61+ZuWVwVJKZw6h5vGeZugmZxfgZzMCWbB+ZygZgXFKZ0W SJ3WCX/RmZ2msJ3cqYHL+Z3KiZ3iqZveWZ4s55zoKVPquZ7duVIl6Z7D6XZfI59dABWr/1ed34mf eqaf3Mmfc5WTAjqgBFqgB7GTZnhR4ph58XiODYqCDIomAgehFFqhDxF29RmhEqqhODehC+qgkAii HcqhI0oJRVeFH2qhD5qiLLqiLbqhJPos7CiiVHmeMdqbYSiDKgqjNCqjN2p8Y+mf9olHQ4oSQlqk 74mkXck85oiEpWcOL8p+TzoNdnGk4WGluuAwoxMBv1h38FgkU0qlXSaAoTiA9YKlTRGm2GCJpciB Xdd6agql/ORifFiJwhen7ih3jeiKinaCb4en8wh6fMgzAXh3oweoUAiHiCqnabio1RiIjqqk7Cmp YEmpJmqpl4qpQaqpQWqgnvqpoBqqogU6qhyQAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0113_image072.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhSQAwAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABI ADAAgAAAAP///wI/jI+py+0Po5y02ouz3rz7D4biSJbmiabqyrbuC8fyTNf2jef6zvf+DwwKh8Si 8YhMKpfMpvMJjUqn1OoQsCwAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0114.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Net Effect of Different Judges
•Mean Kendall= t between system rankin= gs produced from different qrel sets: .938
&#= 8226;Similar results held for
&= #8211;Different query sets
&= #8211;Different evaluation measures
&= #8211;Different assessor types
–Single opinion vs. gro= up opinion judgments
Adapt= ed from a presentation by Ellen Voorhees at the University of Maryland, March= 29, 1999
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0083.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Statistical Significance Tests
•How sure can you be that an observed difference doesn’t simply r= esult from the particular queries you chose?
System A
0.20
0.21
0.22
0.19
0.17
0.20
0.21
System B
0.40
0.41
0.42
0.39
0.37
0.40
0.41
Experiment 1
Query
1
2
3
4
5
6
7
Average
0.20
0.40
System A
0.02
0.39
0.16
0.58
0.04
0.09
0.12
System B
0.76
0.07
0.37
0.21
0.02
0.91
0.46
Experiment 2
Query
1
2
3
4
5
6
7
Average
0.20
0.40
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0083_image073.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhoAECAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAACe AQEAgAAAAAAAAAIajI+py+0Po5z0gYuz3rz7D4biSFbmiabquhQAOx== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0084.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Estimating from Samples
Population: mean m
Sample:      mean X
•<= /span> The mean is a point estimator
-  unbiased: X approaches m as N approaches infinity
-  consistent: X gets more accurate = as N gets bigger
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0084_image074.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh2AB6AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAADW AHkAgQAAAAAAAADMmf//ZgL/hI+py+3fgpy02gmz3rz7D4beNZTmiabmFYjuC8eyaKn2jaPWzPf+ H5nkhsTigAJMKpcZivEJzSGZ1CpPGM1qbxir96vBbsdknQSMTovL7PaxlY4vJe66vSvPw9b2fvus FzgS4FfoByiYGGTIeAinCAlA10jZhxiZN1m5efeIiUbIKWrp+UmlOZrqVmoKhKoKy3bZ2hMae7vK SuvyiutLprv7YftbXBYsvEFszLw1m9y03DydhQytIE2tDWV9bZC9HV7UDQ0ufi7lvWCO3m5D3sru Pq+j/k2PTwQPKZ/vvy+on79/cZ5FGIgwHSg8DgQmrMMiosSJFCtarNjwocZ3/2CmHNwI8gTAGQYT OAyJb6SVkyjpqWTCsuW8l0piypyZyObNdjR/6NzJM9BPoOh6kiS606iMoUjPKX3BtKm4p7yk3qRK w+pVUFq3duwqE+swsGG/RCWrTSyHs2inqVXWFuXbMAMrxF3hhe2oCQL69rVLdu4DvZwk+D2MWEAv pIIz8gyQOPJhwkGrUDZkWLLmv1obf9yWefPmy1NXhoMsOrViq54ZkP6DWrXo12lNu5WNm7Zb28X4 4patu1nrdb98//4d3NhwbLeMHz+evDfvvbGfW49efPqm0Na7Y/e13OTe7uT9fscVXjwl5+W9M87L iH178udjpUdAm/v8/Ys33v/HT8p+AibWX0L/HXBZdQMu+Fd9lRyI4CoMTogYH3V99QeFGk7moCVc ybJhiOYhBCGAwIiIYocQqXEMiiKq+IccUSno4oQwHiPjiTVueOMYJRLn444a9uiMHjMKOaRLAemI 5IJERvGja0w2OeCTRsBTUi1TUjmfleNEk+VSLXLp3UVmnolmmgz5cBaNZLp3mjIeJdHmm+15iQNA a9IJop3XObWWWbK46admeHKxi16EFkogoInCtiijh3KUDGX6MbpaaeUEiGmmcXrz2qVkTppClHsU EumOpNZjzz2OvLmqSK3iFyqsn85q4h1cxlqCqa5YQiWvR+D6WYZI8homsQmBCokssdFAlCp/zTpL F7SiPkdCWr4u5Ih8FbLgzrY5xicRieJmIqxb5waUrnTUXtGufet+Ei9179ZU73rzVlogY/uq029L e96bV8APJUtwwQIjnHBHBjvFcMMyWjhVxBLnRHFvA198jRPozcnxuzU0skPIJtOaLTcXnMzyWmi2 3EMBADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Sampling, continued
Population: mean m
Sample:      mean X1
Sample:      mean X2
Sample:      m= ean X3<= /span>
= Problem: you can’t do all possible experiments.
Statistics is the science of inference from the experiments you do.
Central limit theorem: no matter what the distribution of X, themean of th= e Xi has a normal (Gaussian) distribution.
This distribution is the “bell curve” you see so often, and it has= a lot of nice mathematical properties.

------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085_image075.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhXQF6AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAADW AHkAgQAAAAAAAADMmf//ZgL/hI+py+3fgpy02gmz3rz7D4beNZTmiabmFYjuC8eyaKn2jaPWzPf+ H5nkhsTigAJMKpcZivEJzSGZ1CpPGM1qbxir96vBbsdknQSMTovL7PaxlY4vJe66vSvPw9b2fvus FzgS4FfoByiYGGTIeAinCAlA10jZhxiZN1m5efeIiUbIKWrp+UmlOZrqVmoKhKoKy3bZ2hMae7vK SuvyiutLprv7YftbXBYsvEFszLw1m9y03DydhQytIE2tDWV9bZC9HV7UDQ0ufi7lvWCO3m5D3sru Pq+j/k2PTwQPKZ/vvy+on79/cZ5FGIgwHSg8DgQmrMMiosSJFCtarNjwocZ3/2CmHNwI8gTAGQYT OAyJb6SVkyjpqWTCsuW8l0piypyZyObNdjR/6NzJM9BPoOh6kiS606iMoUjPKX3BtKm4p7yk3qRK w+pVUFq3duwqE+swsGG/RCWrTSyHs2inqVXWFuXbMAMrxF3hhe2oCQL69rVLdu4DvZwk+D2MWEAv pIIz8gyQOPJhwkGrUDZkWLLmv1obf9yWefPmy1NXhoMsOrViq54ZkP6DWrXo12lNu5WNm7Zb28X4 4patu1nrdb98//4d3NhwbLeMHz+evDfvvbGfW49efPqm0Na7Y/e13OTe7uT9fscVXjwl5+W9M87L iH178udjpUdAm/v8/Ys33v/HT8p+AibWX0L/HXBZdQMu+Fd9lRyI4CoMTogYH3V99QeFGk7moCVc ybJhiOYhBCGAwIiIYocQqXEMiiKq+IccUSno4oQwHiPjiTVueOMYJRLn444a9uiMHjMKOaRLAemI 5IJERvGja0w2OeCTRsBTUi1TUjmfleNEk+VSLXLp3UVmnolmmgz5cBaNZLp3mjIeJdHmm+15iQNA a9IJop3XObWWWbK46admeHKxi16EFkogoInCtiijh3KUDGX6MbpaaeUEiGmmcXrz2qVkTppClHsU EumOpNZjzz2OvLmqSK3iFyqsn85q4h1cxlqCqa5YQiWvR+D6WYZI8homsQmBCokssdFAlCp/zTpL F7SiPkdCWr4u5Ih8FbLgzrY5xicRieJmIqxb5waUrnTUXtGufet+Ei9179ZU73rzVlogY/uq029L e96bV8APJUtwwQIjnHBHBjvFcMMyWjhVxBLnRHFvA198jRPozcnxuzU0skPIJtOaLTcXnMzyWmi2 3EMBADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085_image076.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhzwA4AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALE0AAACA ADUAgQAAAAAAAADMmQECAwL/hI+py+0P4wq0youz3hxQAYZWR5am+YWqGJzuCyfpSoNtjOfZXNe3 DgwqAr2iSIgE8oy+pBNGZEp/z+omKmVSrdxHJZvddseIJVhLTnvMZ7S6i223xW8hWz6tP+P4uR55 15f3l/MleEhH2BF4OJeoiMHXOPkICSE5SVlpOZHpSTPC6YD5+bnJSVrqeaqYqpqZyAr3SntURoFa W/tTgWvpqivI20tcbHyMnKy8rBzcdCs761wqFi09DSvKAIx9Zl3H3T2oPSROSV5ujoiero73rRfu rgL/xzhvy94gb17/y4/NHyqAugRqu+fMIDqC1PQtYnjOIQmI6yQu6mexBMV3IhkndlOYcaO3jigS kjwh0gjIkwZ6CTPGEgexHjBjWjn2ogAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085_image077.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOgBgAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAA4 AF0AgQAAAAAAAADMmQECAwL/hI+pa+HPopzsBYEzpLy/DIZC0JXVJaaayQKOCq+tZMX2OC/fzeO5 ++oJSa2d8OgoGY9MTJKGakpBFkV0ig09G9muFnH1dokusSjcI5fNmqkaPca+2SP5Gy7F39TgoDxP sYTUxDchuMdU6DE49LPGo3fm+Ii4p1h0qKVicTnJ+Qm6NfnTOepYapqDmlrE6rrqqhSbCjsbaDta ixuhu6vjSwqsKjzTS9xwzGJ8vEzcLPwMHO07vVuNe22bPbsd2/2abPLNOk4bLnvOUW66npuu/n4b TzNPX19xj59vtc/fD/YPYEBkA10UNFiwnaeDCk8xfJgQ4sCGwSJanCix36d/CFU4bvCYcFoBADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085_image078.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOgAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQA4 ABsAgQAAAAAAAADMmQECAwJ6hI+pC+H/mJxUPYFzdrX7q4Va4JWLI6YhaZagCmNsy0DxvdEWivey bnj5hrOObYjcFCeBpFMUkTSf1FX0MK1qV9itd9T9fotZsZZs9qLTZwSPneQk3nDcck6vQz95/b3S l/b34QcUVDdoEkglZ+gGUQYFCeloNHlFUwAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085_image079.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOgAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQA4 ABsAgQAAAAAAAADMmQECAwJ4hI+pG+0flpxUOoGzFrH6bzTbqHXgmYjkipnod7Ey907QjNN1GuR+ uwupfr4G6kFMZly2nvK5dFig1JH04KxqS9itFxj6el1ZMZVs1qLTZ8SQ/WMK4UUKkk6SN/Hc15ut B1JmFigIV3jyd2YUpACh2PL40HgkSVkAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085_image080.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOgAeAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAgA4 ABsAgQAAAAAAAADMmQECAwJ5hI+pG+0flpxUOoGzFrH6D1zbmHXgiTTkqpmoJ7Iy907PjGNubaj5 T+PdgMAGKkZMcnaMgPK5cVig1JH04Kxqo9itV9f9bl1ZcZVs1qLTVHKZXWy+4SxmAkkv2S1z+p7i 48fTIzgYwmZk2NP3dKWYAsEYCfF4MvlYAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085_image081.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOwAeAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQA4 ABwAgQAAAAAAAADMmQECAwJ+hI+pe8EPowShBmHz3NuKD4afw5VKJaYiaZaoCoNsC3nxPdJLhve5 brD5hjPXa4jEFCPCpFMpOT6nowrjQs2urA2td4XAfscs8dg7M5+z6fW37dam1XHiTlqPcR/NfGhZ g1cHOEG3RtiRh5gYt8jRN2UBdJXRVHnpOHm3B1QAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085_image082.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOwAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQA4 ABwAgQAAAAAAAADMmQECAwJ/hI+pe+EMo5TOiVvf3BzUC4Zg0JWLJaYhaZqoCmPtlMW2PCv1zeO5 F+gJR7PdcKjZfI7MFSsSbEpFmdP0qkp6sFwqItoNP8Fh7nNb7p7J6ema3WaegXH5vAGvZ2kvvbez 5Cdwx5FXRgiohwhoeLXo0tdU9cOQUWOJqUVZ8lhSAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085_image083.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOwAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQA4 ABsAgQAAAAAAAADMmQECAwJ9hI+pa+HPopzxiYsh3RxYDIJBRypfiGZl6aRuOK7SE7y2KpvtzeP5 2QvGWLug8eLoAI9MQXJSa0phGkRxihUNPdkuzOoNIw9RcXdbNmPR6rM13T4+yfD4bZu42l34xXI/ pqQX18dRZ1aoZJcoqDaXQ3fYQ8MI6UGJmVmZUAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0085_image084.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOwAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQA4 ABsAgQAAAAAAAADMmQECAwJ6hI+pe+HPopzsBYEzpLy/DIZC0JXVJaaayQKOCq+tZMX2OCv1zeO5 i+oJSayd8OgovY7M0ObUjKaeDalVlTQEr1yZtgvGEF1h8Jhc5p636eia3R7q4PHYOfGp2zl5PehO seQH6DH4g9ZGaCJopthixGNhcUgjaTlpUgAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Sampling and Experimentation
Population: mean m
Sample:      mean X1
Sample:      mean X2
Sample:      mean X3
m
Most experiments will produce a result somewhe= re near the true value.
Some won’t.   So how ca= n you infer anything from experimental results?
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image085.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhrQGMAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALD4AAADQ AF0AgQAAAAAAAADMmf//ZgL/hI+py+0Powq02kul3rz7D4YfVg3miaYmmYnuC8dyhKn2jafYzPf+ D7jkhsTi4AJMKpcJi/EJJVqY1KqoFM1qcxWr98vAbsdk1RSMXorL7PaplY7LKO66fQWX6zv0u9+e tycY1vdnWBc4qBhw2OiXqBhX6EjpFhCpN1m5yQaJycTIKYp4+UmlOZpKVmqaFKoK28nayvMae7uq toeK2xs169OVZutbnAVce+ZFfMdSzAIdLT1NDb18SCGgva3Na5wbLGzF3FbBfb5N/j2GDOOp9ogu n76OSMvXHDC/L6Be/3tvgz8t2fjtG/jvSbuACxAWsWAwosOEUhg+mMhFX8SN//0ollloMcgqjRw3 YvSIAyTDkyjMlSzJEqWZkBN+FXyJM6bMljQRsCSJM2g/bztT9jyA8abQpUOLGlFJKynTqel0UoT6 Aiu+h1S7drNaDhpBIOJiTATqlak+sARdztOp1UO1uXTrYkiLTiPbp0oNxozLR5nZp3ip6s3n9uVP su9AnERbWHE3S32FLnZVCwrkyBwPb4GIl6iOo385W+54bHNoJzcAD4JrOidqzbHfGu1pVXXtcyRL d9Wdt/VRkal3H+Qm2gbwzoqVD2eb2Pjm5DqW+805+vnHypyBrxnC3SRMZq4jQa9a2/rXpNGvmxQ+ nPixvLHVI7epPj/8+PIVyv+zLxt2BEkk0W385fZfZADy1pZ3b33HE39IzZfXgvyE9x47dj0k4YQU VoghbyQYZghYIJWXyYAXUlPfH7k5UFZACBqnmF023lhNSDPSaFkzx1wUo4xt8VjjIwABGZ+JFqZX omYd0qDhkoXtBZ5CT0pAZYhMYvMQihJSeYSWCjbikJdPUscVj2BWycWVjpVD45psKmemmwagyYV0 lahTp50+fVSfnFKY0aefPu0FmlqsbWJLY4bKBeaIyEUTSyiOPuqYoHhA+MylmF6hKUqefpoVnk61 lEGhpHJgalF5qLoqq5w6FSSssUIaKplBInXrMLPiIlgDtvYK6qKjICEQseZRCeEisiMoG9U01U0z B7RfBquLtdpmtW23IQzrba/ghhvruOSSau65mKarrqHstmvnu/BeKe+8HdZr73PY5uuts/yeu+u/ 3QYs8Lb4FqyjKQUAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image086.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhSAEEAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQBF AQIAgAAAAAAAAAIXjI+py+0Po5y02ouz3rz7D4biSJbmiRUAOx== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image087.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhGAE/AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAAU AT0AgAAAAAAAAAL/hI+py+0Po5w02ECz3rz7D4biCF2mRabqyrbuW57GicH2jef6SDP9DgwKh62f w0hMKpfMmUkja0qnVBUSGq1qt1xf9nPtisfJL8lMTqtfaOtzDY+L2sW3/I6PXYL0vD9uJxT4R6g2 SHRYqFiViLi3CEn1yIgSaak0qdV4yclW2bXZKcqTCVo6ihoSSvmZ6tqxunX6SqtXIzdbq5sQK5a7 q/sLJwycSjzcWkx7DMisrNiL6/zsF403Td2czGmdndb91+dtiL0IPi4ljnqO7ljOzd6+E9+pLi/4 /kp/v7Kvn8/vjL9lAwNiAfjMnkFVBZUpXLjhIUQAEic+qGiRYsOAeRgzHug4EaRHBCLvlRzJayOw kygXsFypsiXJmKJeyrxIM5LNmxF26szJ84jPakODViiKDKjRowjvhFk65Kk5qVDdKY1KtSoTGrec ctX6LSsrsWA1ce2a7izasl7PYlW7lm0huNtA0P0q19hdcXvV5s3WNzDSv67uFgAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image088.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQAK AAoAgQAAAAAAAP8zAAECAwIZhINhF+KiznuqTVcvtRppKF0R4EHjgixAAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image089.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQAK AAkAgQAAAAAAAP8zAAECAwIVBIJpJ+1hgntsPmkbyrpO6FFRghgFADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image090.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAAK AAoAgQAAAAAAAP8zAAECAwIZhIOmEOJ5nBSBTVnbfXqjTUVXxXThgkBAAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image091.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQAK AAkAgQAAAAAAAP8zAAECAwIWhINoJ93BnINBzmofwJZmAW3dsiVhAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image092.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQAK AAkAgQAAAAAAAP8zAAECAwIXBIJoFuIe2JuxTXjuQ1rUHmXUciQhUAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image093.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAK AAoAgQAAAAAAAP8zAAECAwIZhBF5luJxgpsCIjobfnLXu0EdZYHckihGAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image094.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQAJ AAoAgQAAAAAAAP8zAAECAwIVBIJoJ93BnENyhvoupjtOwwnKkiwFADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image095.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQAK AAkAgQAAAAAAAP8zAAECAwIWhINogOIezpttvmoFtjFkzXjUEiZGAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image096.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAAJ AAoAgQAAAAAAAP8zAAECAwIVhIN2IZ3cYgAwumqRlZhvR23TgowFADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image097.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQAK AAkAgQAAAAAAAP8zAAECAwIWhINoJ93BnINBzmofwJZmAW3dsiVhAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image098.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQAK AAkAgQAAAAAAAP8zAAECAwIWhINoJ93BnINBzmofwJZmAW3dsiVhAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image099.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQAK AAkAgQAAAAAAAP8zAAECAwIVBIJpJ+1hgntsPmkbyrpO6FFRghgFADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0086_image100.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQAK AAkAgQAAAAAAAP8zAAECAwIXBIJoFuIe2JuxTXjuQ1rUHmXUciQhUAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0087.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Hypothesis Testing Paradigm
•Choose so= me experimental variable X
•Establish= a null hypothesis H0
<= span class=3DBB style=3D'position:absolute;left:-3.8%'>•Identify distribution of X, assuming H0 is true
•Do experi= ment to get an empirical value x
•Ask: “What’s the probability I would have gotten this value of x if H0 were true?”
•If  this probability p is low, reject= H0<= /span>
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0090.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Statistical Significance Testing
System A
0.02
0.39
0.16
0.58
0.04
0.09
0.12
System B
0.76
0.07
0.37
0.21
0.02
0.91
0.46
Query
1
2
3
4
5
6
7
Average
0.20
0.40
Sign Test
+
-
+
-
-
+
-
p=3D1.0
Wilcoxon
+0.74
- 0.32
+0.21
- 0.37
- 0.02
+0.82
- 0.38
p=3D0.9375
0
95% of outcomes
Try so= me out at: http://www.fon.hum.uva.nl/Service/Statistics.html
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0090_image101.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhpwHZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALEQAAQBW AdYAgAAAAAAAAAL/hI+py+0Po5y0uhCs3rz7D4biSJYjZqbqyrbuC4NoTNf2jefvrPf+DwzSeMKi 8YhMIojKpvMJNTGj1Kr1mphit9xuUOsNi8csMPmMTlvM6rb7DWDD5/SuvI7PP+/6vv+b8Sc4WMRH eIioYpjI2Oix6BgpGQE5aXl5UIm5GanJ+YnoCTr6J0p6imeKuvqmyvqK5go7GyZLe4tli7sbpcv7 q+QLPFwYSHwsJoy8jKPM/BzjDD1dZkx9nSSNvR2izf3N4Q0+TiFOfv5gjr6uoM7+HmcNP0/iTn9u fz+er//N37/tH8BrAgdOK2jwGcKEyxYyPObw4bCIEn9RrLjrIsZb/xo3zuro8RXIkKtGkjxl8uSo lCo/sWy56SXMSzJnTqpps5O8nPpw8mTk82eonULhBS066CjSUkSXolPqVA/UqKmaUgU39eqcrFpb We2KjStYNWLHxvpqFlrZtGPWsq2F9i0yt3K50K2bKy5eYHf3Vunrt5fewLgAE3Zi+HCwwYphJW58 5DHkYpMhMq6M8jLmlZo3u+zsOSbo0DRHk75p+rRO1RxTswbq+vVQ2Y5j005q+zZT3SVz85bq+3dV 4aQkE19h/HiK5MpLMG9+Ijj0Ns+ny5Bu/Wx2S9W3h8PuPRn48F66k69g/vyE9OopjW9/hT38C+/n U5FvfwH+/Fnq8+5H7N9/iwnox34EGigggv8pyB+D+TloH4TzSQgfhe1ZqB6G52lIHofheegdiNuJ mB2J1pk4HYrQqdgci8q5eByMxMkoHI2/2cgbjrrpeBuPtPkoG5CvCckakaoZeRqSpCkZGpOeObkZ lJhJWRmVk1kJGZaNaakYl4d5SRiYgYnpF5l7mYkXmnWpiRwGbr4JZ5xyzklnnXbeiWeeeu5pZzma 8QlooHNWI2ihgjLE5luJsrVoWo2a9ehYkYI1aVeVanXpVZlStWlUnTr16VKhIjVqUaUKdepPqfK0 ak6t2vTqTLHCNGtLtap060m5MlAAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0090_image102.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwALAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAAK AAoAgQAAAAAAAP8zAAECAwIZhIOmEOJ5nBSBTVnbfXqj/VhXxXTUUkJAAQA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0090_image103.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhSQFlAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAABF AUkAgAAAAAAAAAL/hI+py+0Po5xUhhuq3rz7D4biSJYchmbmyrbuC8fykqr1jOf6zvfWnQD6hsSi 8fgQNpTIpvMJDaUqzKj1in1WKdOs9wuebTfjsPmMTqJW5bT77e222vC6nSiP5e/8fm4vhuE3SOiy NnRYqLhIJniUyBgpqeDYBDmJuVipdZHpSXjJqfJJChcKtVmqCnYalboK6/qKNRtrW9RK23nLi1sb t9srrPPLWjyMPHJsHJzsTLIclvtMPTHtFl2tHZSNdr0N/m3aDY4sbgdYXn3Ox64O6+4X/545P5hO r4pPap9/T46pn786AiXtG/iv2bODCAkW5PewoSiF5RhKBAYwmcWLu6giCvPIMVDGcCND4tjYEKRJ aCq1oVz54qVJOjBZyKxJs6aImzoN5OzZqCRQny178hxKo+hMpUCPGnWKFALUkD+jdqhKdapVKlpJ dt0aVOi6r2A91BiF8Czasoiw8lK7lu2js9TgysVIFx5cinfxqi20N29fdIHJxixsd7BBxInbFlY8 jDHkyZQrW76MObPmzZw7e/4MOrTo0aRLm17COLXq1axbu34NO7bs2bRr276NO7fu3bx7+/79uwAA Ow== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0090_image104.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhSAFmAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAEwDA AFEAgAAAAAAAAAL/hI+py+0Po5y02hvC3bz7D4ZLponmiaYqQ67uC8dPK9f2LdL4zveO7gsKd8Ch 8agqIpfMjrIJjUKe0qrVQL1qm9mt99j9invhsdlWPqtf6bUb1X7LQfG5nVO/6yf5vf+X8Sfo0Teo V4JQaHiIqLjIqOH4eEcSOHkJWKmGiJnDGfQZEdppNzpD+mf6g+qn2uDKegY7EntoMVv7hZuwm6vV ewDsWyUMUDwMVXyMzKTM7Ob8vHkrPV2xXD0UnS22ze3l/f1LLQ5OXj5+jb4Vvh7V7s51Hv8+Ty+v fl+fr49Pgd2Pjb2ARuARBDXwIEJ+CrUlbMjDIEQcEieieWjxIsOMPUQwcoxR8aPAjSJrhCyZxCPK lCRXjvznUiPMmDJO0gxh8+aHnDqdqOy58ydQny2H4hRqFAPSpEVXMT1RrAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0107.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
How Much is Enough?
&#= 8226;Measuring improvement
&= #8211;Achieve a meaningful improvement
&= #8226;Guideline: 0.05 is noticeable, 0.1 makes a difference
&= #8211;Achieve reliable improvement on “typical” queries
&= #8226;Wilcoxon signed rank test for paired samples
–
&#= 8226;Know when to stop!
&= #8211;Inter-assessor agreement limits max precision
&= #8226;Using one judge to assess the other yields about 0.8
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0082.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Ten Commandments of Evaluation
<= span style=3D'font-size:88%'>•Thou shalt define insightful evaluation metrics
<= span style=3D'font-size:88%'>•Thou shalt define replicable evaluation metrics
<= span style=3D'font-size:88%'>•Thou shalt report all relevant system parameters
<= span style=3D'font-size:88%'>•Thou shalt establish upper bounds<= span style=3D'font-size:88%'> on performance
<= span style=3D'font-size:88%'>•Thou shalt establish lower bounds<= span style=3D'font-size:88%'> on performance
<= span style=3D'font-size:88%'>•Thou shalt= test differences for statistical significance
<= span style=3D'font-size:88%'>•Thou shalt= say whether differences are meaningful=
<= span style=3D'font-size:88%'>•Thou shalt= not mingle training data with test data
<= span style=3D'font-size:88%'>•Thou shalt= not mingle training data with test data
<= span style=3D'font-size:88%'>•Thou shalt= not mingle training data with test data
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0108.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Recap: Automatic Evaluation
&#= 8226;Evaluation measures focus on relevance
&= #8211;Users also want utility and understandability
•
&#= 8226;Goal is to compare systems
&= #8211;Values may vary, but relative differences are stable
•
&#= 8226;Mean values obscure important phenomena
&= #8211;Augment with failure analysis/significance tests
•
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0148.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Automatic Evaluation
Search
Query
Ranked List
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0148_image105.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhVwBOAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAACQBV AEMAgQAAAAAAAP+ZzAECAwLyjI+gy+0Po5z0IVOz3lymDoai843mmR3oylpBC7dqTJtYjYN3zld7 D4z8gkTGsEg8IoHKZe/lLDajNcyUirpAsdUZF+f9dsW5bVSLTqvX7LZbKIjL5/S6/Y7P6+/mRmAP GCg4ONdnRIiYqGi48Kf4CJnHqOAYaXk5CVB5ybkI1wmKmLkZWqo3app6+qnaSofqGhsHK+tKW6t6 i2uquxva69sJHIzJSgw6fAyZrOwJQdocyRxNOE0taH0NmK29+twtbQwuKj4+yG1eh55eWM6+t/4u EP9Oz26fjm+uP84P7t8NoDaB1whSMxhtlJuFDBs6LAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0148_image106.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhNQAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAAx ABsAgAAAAAAAAAJHjIGpy+2vjJyw2pso3jyeDl5SSEJjiXpByiJfi74wKc9dbXNrHuK8+APtgpsh EXjEGJMmpsXnjEQrK2hyspwCNFpVd2Gd7goAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0149.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
User Studies
Search
Query
Selection
Ranked List
Examination
Document
Document
Query
Formulation
Query Reformulation
and
Relevance Feedback
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0149_image107.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhVwBOAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAACQBV AEMAgQAAAAAAAP+ZzAECAwLyjI+gy+0Po5z0IVOz3lymDoai843mmR3oylpBC7dqTJtYjYN3zld7 D4z8gkTGsEg8IoHKZe/lLDajNcyUirpAsdUZF+f9dsW5bVSLTqvX7LZbKIjL5/S6/Y7P6+/mRmAP GCg4ONdnRIiYqGi48Kf4CJnHqOAYaXk5CVB5ybkI1wmKmLkZWqo3app6+qnaSofqGhsHK+tKW6t6 i2uquxva69sJHIzJSgw6fAyZrOwJQdocyRxNOE0taH0NmK29+twtbQwuKj4+yG1eh55eWM6+t/4u EP9Oz26fjm+uP84P7t8NoDaB1whSMxhtlJuFDBs6LAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0149_image108.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZgBOAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABABV AEgAgQAAAAAAAP//AAECAwL4jIGpy+0Po2ym2omz3vDyD4bUIZZmVp3qOgbsu6bwXJL0zdn4Pun8 PwIKHa6hMeE7AovKIbO5hDqlwicVZ73OktpXtusFcMEhy5cs8qBj4zWo7X5LzfS6/Y7P6+9Egf8P GCg4SFhoeFh4FoDI2Oj4GKgIOUlZKSBpmalJiLnpudn5KUoZOmraWHqqmti36spK8SormDrrWmur iptrussr6vvrGSysSVxseYxM2rrc2+wMDB09PE1tbH2dnK3NHNsNyg3+qDwOy7Bovv2t7o3eXlkO Dyg/71dvjz+vD8/f7q8OoDmB4wiCM9gNoTaF1xTteQgxosQABQAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0149_image109.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhVwBSAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAACABW AEgAgQAAAAAAAP//AAECAwL5jA2py+0Po5zv2ECz3lzeDoZihYzmuR3oypLt+6rwbMr03dn4nmH8 PykBhw0h8ZgwIofKJdDnJEKjT6rU+pxib9otreuN6cKrD1ncPNfS6nUbBpZe5vS6/Y7P1yEBgf8P GCg4SFhoeFgYB9CH2Oj4CAmoyBhZaWk5eam5iZjJ+Qnq5xlKejlaivp4mspquNoKG/gaSztLC2t7 y5qri8rbS/oLDCo8zFlsrImcjMnH3Lr8DBkt7Uhd3emMHay9TdztfQwerjxO3lxxLp6uXs7eju5A CR95TS9gT58Pv9/er/7vXEByA8MV9HZwW0JsC6tN0gMxosSJAQoAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0149_image110.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhNQAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAAAx ABsAgAAAAAAAAAJKjA+py+0P15mx2qtmwLxL44UYIpYQaKYMqrZsm75wKc/hZpt1zuH87fv1gsLL rngiIiPHZUPpfECjqyk1Q7p+stoEpVu1XsXjRAEAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0149_image111.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhJgHdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAk AdsAgQAAAAAAAP//AAECAwL/jI+py+3vgJy02ouz3rz7D4biSFrCiabqyrbuC7tBSdf2jec6Gff+ D1TNdsSi8YjEBZfMpmCYjEqn1J3zipVVt9yu15QNh6HfsvmcE6uvZLT7Ddes58t2/I5H0/c+e/4P SMU3+OIXeIhoRbgolOj4mMYo+QRZaSkyKWl4ydkJkMm46Tn6CLooSpoaaEqIqvp6xzroClurJ7tH a7vrhZvLCxznS6cbbJw0PFd8zEyUvLbcLH3zrBY9jc1TPZbdfbTN7S2uA551PY5+UY51nu4usc72 Ph8S79ROP27fhJ/vvc+kn79sAOsMPKiuIBCBCJspXNgw4qeHfSQ2pFjR4kGM/z0YauTFMYbHj7ZC whhJEpbJQinzrdTSct7LFihjkprJoqZNTzhX6NzJCYLQoUSLKgCK1MPPpExFGGgKlcuBqFSnIKiK 1UiCrFx1HO0K1sbSsFXHkqVq9mzTtGqTsm0L9C1cm3LntqxrlyTevBr38pXo92/DwIIPEi7s7zBi eooXz2vsOB3kyOMmU/Zm+XK2zJqnce7c7DPoY6JHGyttmhfq1LZWs4bl+rWq2LJJ0a496jbuoLux 6u5d6TfwR0+HQxVuHBHy5IGWM//j/Hme6NLjUK/+5jp2NNq3mynuPWX38F7Gk5d6Xq/59FTWs5fi /n0S8PIRxq+vFf/g+/p38P/vn8N/AN4g4IBiGZhPgQiSoOCCIzToIAgQRqjUhBRyYOGFGmSoIQb0 dYgNhyBW8OGIoZm4GYohiqgiiyi6+KKKnsk4I43MwDhiiTbugiOIOu5YS48d/gjkK0JqSGSRqRx5 IZNNKglMklB64mQZVX53ZRdZWvnXllzm5eUXYVoV2ZhRmKmlXWiWN9eaWrrpn2ZwBgjanATWaScN eaYZ1p5S+RkCoH92JSh6WRU6aFm4SRkTouU5SmJvjH4EqZiVVmqlo5hmWuikqXma2KZngPrYdjPk KWp2AMyZKhynApbeU2aSCpysA9E63KlbttrcqlXi+pyu6AArXXE9EludsZvk8WoJFBwiS56zNzJL 5QTQHnJtrM7+l+179Lk3FZDfdheukh9S1y2C5wpX7pQUrBtbu+5aoGO6AdqbYwb4MrhvjPr6tdW8 DG7QL4nyClyCK1eJFXBhTBazAL0PdOYksQ0v+hi1vWY84K4a4zHmx64OJp+bIn/XV7SonlxFwaex fCaiMGt16cz3buryoczmfNzHPMf1M2M2bxj0rUMbfLTBbRatHlkHO/a0W1FfNrV6TJcl6MLMVf3O xdhxvSzYXwvpNYBi21Y2hWcn8lWRWivXNsLWro1EBHJLmHYNENx9hFETN1QAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0094.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
User Studies
&#= 8226;Goal is to account for interface issues
&= #8211;By studying the interface component
&= #8211;By studying the complete system
– <= /div>
&#= 8226;Formative evaluation
&= #8211;Provide a basis for system development
– <= /div>
&#= 8226;Summative evaluation
&= #8211;Designed to assess performance
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0097.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Quantitative User Studies
&#= 8226;Select independent variable(s)
&= #8211;e.g., what info to display in selection interface
&#= 8226;Select dependent variable(s)
&= #8211;e.g., time to find a known relevant document
&#= 8226;Run subjects in different orders
&= #8211;Average out learning and fatigue effects
&#= 8226;Compute statistical significance
&= #8211;Null hypothesis: independent variable has no effect
&= #8211;Rejected if p<0.05
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0134.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Variation in Automatic Measures
&#= 8226;System
&= #8211;What we seek to measure
&#= 8226;Topic
&= #8211;Sample topic space, compute expected value
&#= 8226;Topic+System
&= #8211;Pair by topic and compute statistical significance
&#= 8226;Collection
&= #8211;Repeat the experiment using several collections
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0135.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Additional Effects in User Studies<= /div>
&#= 8226;Learning
&= #8211;Vary topic presentation order
• <= /div>
&#= 8226;Fatigue
&= #8211;Vary system presentation order
• <= /div>
&#= 8226;Topic+User (Expertise)
&= #8211;Ask about prior knowledge of each topic
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0136.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Presentation Order
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0136_image112.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAABAUAAAD8CAIAAACASYrhAAAABGdBTUEAALGIlZj0pgAAAAlwSFlz AAAOxAAADsQBlSsOGwAAIABJREFUeJztvT122zwXrr191td8Vc5Q5E6lh6IZyN3Tqk1nz8BDSJcy rUoPJaneMqeAubOFHxKgRIAgr7vYSwFBALzC5XsDBKWnv3//CkIIIYQQQmiX+j+tB4AQQgghhBBq JuYDCCGEEEII7VfMBxBCCCGEENqvmA8ghBBCCCG0XzEfQAghhBBCaL/6/6Kll8ul7jAQQgghhBBC S+n//v//9/W/1+ih+HxAmBIghBBCCCG0Fb19f0sdYr8QQgghhBBC+1Xy+YDTyExi/fr9v9/uKUfX V7FmQXhpQXhpQXhpQXhpQXhpQXhpQXhpKeERTcwHRCS102j9shf//PL8Tb79kT/EB8YfP39AGMJd RwjXJPz68izyTeQP8YHxAmEIdx4hXJNwSnvZL9TcFDcZIQzh3iOEaxJuboobjRCGcO8RwjUJx7WX +UBzU9xkhDCEe48Qrkl4Baa4yQhhCPceIVyTcFx7mQ80N8VNRghDuPcI4ZqEV2CKm4wQhnDvEcI1 Cce1l/lAc1PcZIQwhHuPEK5JeAWmuMkIYQj3HiFck3Bc0+8Tb0NqTqfjyZV8XD9Ox9PH9aOJTZ6P 5/fre36d8/EcXtRkC17MvN6csbkI4XmE80cI4RmELR/u4VURVnM6DC18Xj8Ox9Pn9aOaNR4CSqne D8fz5/U9dZaI6NHMmHml2ld2+xAuIGzJZLcM4VzCXi/cwwv9lVA+swjHNXM+8PT05D78/fv36enp 79+/89oZ7+KBzYZW5yzt4facGUWkqC8ZrFfLT8dTab+Zk4HJsdlRQbiUcBFnCJcS9vhM1odwTcKh 4Q2WX2bVpRZr4+f13WshasBBL18JgZYfjqfS3rMTmqJUFcIFhD0y+f8jEM6+h+WWDPfwIn8lyidI 05qzX8hl6k46MXisHt6sMycRsban5Y+y58zoTHTcqr2+1HS1fKE1y/fru6U0HiE8L7p0LYczhEuj bRPCayM8mJPcmp9kW5oa20ybT7Qgk3WM9UqRbZfGGakPhAtZjY8KwnfFWdMtCJfFWU9LplX8fMBb tl9oSvDwZp05vV/f3bqsszRdS3N19KgMD9m9bQMiEq4d2of1tv2RlTM3Hh3VSJ3M8vDxvSYT4Qj1 s73SeQkNhO8hnMMZwvMI/8lep4fwbMIz7mFnTm7tTYa1NF1RczX0qAyPwr1tAyISrh3aR/a2/YRx SkbqIEFJsjzcguL6jY5NP9tr9FKKwtVNCOcS1nVfCC93D0/1DuG7CEfPKiQc1wPeJ15is9DDpeb0 fn13Fng+nrVEBsOzn51Z6jquWyn0rNRZuxqnrvuOrO2p3eq5RamMvRZvJNqjTUq8Edr2U2ufkkgy ojUhXEpYU8AczhCedw/nb3uD8DzC9k7OJ2zTMmdph+NZS2SwN/vZmZ8rGdIC31AHa/+yz8FQxRin b42H49n1nrcNYCwt0DFoXzYd8cZm2x9Z9dSz8swewgWEyycDEJ5zD6fLIXwnYf+scsJxFc8H3Mp9 avH+adB4oftsC6MnenXyWwvlWZS1QGuf1mJFxBmnLbEm59IFd65NEWRICMJ+3dHz8WzPzbHzkWTd G1WYlNgReu1H7Xyk97AmhIsI2xQqhzOE593DNvGF8BKEUyMfJ+xZVGBpEjNacfZpSzxrVBO1KYL8 Swj8fl0dz56zU5lIa95nLx2xY/PaH33oPzKGsCaEcwmbteHMRArCxffwfbvbITxO2D+rnHBcc94n dg8EXPJtHw7YrUT6OSzU9D2sPNlITmtRhUbuGZ5L1LREDd4+TLdHJfhuDT0qIinDDlfUomts2kJO EuCNKmX/qaOzbf7P120N4QLCIqLbNuR2YwmEH3gPF9WB8AzC876FLGbkN7Y3pBGiR+1mALXwhDV6 Bilpy/RK5PZotGQkCZDR3qMjGWk/ZwxhTQhnEVYyhU8JIJxLuPzuhXAp4ehZRYTjmr9fKPo+cbh4 b9N3W5JK372XE8IKXhfjranU6uzDdy3Xz7bE1bT27466cq2pa5C2l5Sh5pSMG+14C9ErDcejJdGt CHp0MkK4lLBbt9ZtGJPbLSA87x7Ov5MhPINw0fcX+X+J5ZuI3K7OSvD5X4mreWv/ouVa06ze/esl 28jFHp1KE8dbi15jOBKxVxf2cufudginCUtqVBB+6D2czxbC9e/huO79/QHv+0ZTGbw87hXhea8r qNWFrwNqohauC9rXCrXE7uvVo9Gdwba+VydVMp7EROtHr8heaTjC8CVCjeELkSMRwjMIjyRtEL6f sLYjGdMtCM8mrK0VEVbDC18HdKYVW7UV+1qhlthVXj0a3Rls69s6Oqb02qEfb9u/GXNwLTIyttTr gFMvaI4kHxDOIqzlsVFB+AGE5QHffgPhpe/huOLbbC6Xy+VyEZG372+v/73enBDszIlu5onWT9Wc feLI6d5VPL88T65jZSbBXcQ61/Lj5w8IQxjCncb6hF9fnieta1YysbpY8youEIYwhDuMzQjfZvWq mb8/MJmLR98MLm38UTVFZCXWWC2KSJ1eIAxhCHca6xNelUEuHKVuXxCGMIS7i60IxzXzfWJv+/54 ud0vZL9QyO4y8k60bwnbz+M1R8Y8Ylf5D757idENA0tECEMYwp3GJoRH7Mo8mm9u0vfG6IaBJSOE IQzhzmJTwnEVzwfy3wYOS0ZSdu/QyFnj/0xpxK6WtsP6sdoVQRjCEO40NiE8Yle1TLFGrH4tEIYw hDuLTQnH9YDfI+tCazDg7UUIQ7j3COGahNdgw1uMEIZw7xHCNQnHtZf5QHNT3GSEMIR7jxCuSXgF prjJCGEI9x4hXJNwXHuZDzQ3xU1GCEO49wjhmoRXYIqbjBCGcO8RwjUJx7WX+UBzU9xkhDCEe48Q rkl4Baa4yQhhCPceIVyTcFx7mQ80N8VNRghDuPcI4ZqEV2CKm4wQhnDvEcI1Cce1l/lAc1PcZIQw hHuPEK5JeAWmuMkIYQj3HiFck3Bce5kPNDfFTUYIQ7j3COGahFdgipuMEIZw7xHCNQnH1Xg+UPQb w/eouSluMkIYwr1HCNckvAJT3GSEMIR7jxCuSTiuOb9P/BBVmwk4NTfFTUYIQ7j3COGahFdgipuM EIZw7xHCNQnH1ez5wN+/fzN/Wvgham6Km4wQhnDvEcI1Ca/AFDcZIQzh3iOEaxKOi/cHiPMjhCHc e4RwTcIrMMVNRghDuPcI4ZqE49rLfKC5KW4yQhjCvUcI1yS8AlPcZIQwhHuPEK5JOK69zAeam+Im I4Qh3HuEcE3CKzDFTUYIQ7j3COGahOPay3yguSluMkIYwr1HCNckvAJT3GSEMIR7jxCuSTiuvcwH mpviJiOEIdx7hHBNwiswxU1GCEO49wjhmoTj2st8oLkpbjJCGMK9RwjXJLwCU9xkhDCEe48Qrkk4 rr3MB5qb4iYjhCHce4RwTcIrMMVNRghDuPcI4ZqE42o5H3A/SVbnh8mam+ImI4Qh3HuEcE3CKzDF TUYIQ7j3COGahONq9vvEIlLz98iam+ImI4Qh3HuEcE3CKzDFTUYIQ7j3COGahOPay36h5qa4yQhh CPceIVyT8ApMcZMRwhDuPUK4JuG49jIfaG6Km4wQhnDvEcI1Ca/AFDcZIQzh3iOEaxKOay/zgeam uMkIYQj3HiFck/AKTHGTEcIQ7j1CuCbhuPYyH2huipuMEIZw7xHCNQmvwBQ3GSEM4d4jhGsSjmsv 84HmprjJCGEI9x4hXJPwCkxxkxHCEO49Qrgm4bimv1/ocrnkNLRy/fj5o/UQNi4ILy0ILy0IL60L hBcWhJcWhJcWhFvpKfqln5fLZRvTAIQQQgghhNDb97fX/16jh/ayXwghhBBCCCEUamK/0Nv3tzrj WEK///fbPeXo+irWLAgvLQgvLQgvLQgvLQgvLQgvLQgvLSU8oun3B1JPFtYve/GvL8+tX+bYYLT7 /CAM4R4jhGsSfn55XsMrzhuLPyAM4c4jhGsSTmk/+4VWYY2bixCGcO8RwvUINzfFTUYIQ7j3COGa hFPaz3yguSluMkIYwr1HCNcj3NwUNxkhDOHeI4RrEk5pP/OB5qa4yQhhCPceIVyPcHNT3GSEMIR7 jxCuSTil/cwHmpviJiOEIdx7hHA9ws1NcZMRwhDuPUK4JuGUpt8n3oq+zOlwPLl/f14/DsfT5/Wj mjUejmdvTKneD8fz5/U9dZaI6NHMmHOllkx2yxCG8IoIR3uH8GMJl7D1Cas5nQbCH9eP0/H0cf1o YpPn4/n9+p5f5xzjPNmCF/Ov11GabB/CpYS9XiC8xD1s+Uy2CeEZhG1fRfdwSs3mA09PT+5D9AfR FpBveIPll1l1qcXa+Hl991qIGnDQy1dCoOWH46m095xU1ZLJToAgDOG1ELa9i0h2yxAuIFzI1icc Wp2z/Ifbc2YUkaK+ZEhutPx0PJX2mz8ZyKwJ4VLCYpLUnPYhXErY45PzPwLhIsLhnZxPOKU2+4We np7+DtKJwcJy5iS35iflxjbT5hMtyGQdY9JSmhjNTQWio4pGCEN4LYRdHBJiCC9CuJCtT9iZk4hY 29PyR9lzZnQJx7hVe32p9Wr5QmuWRauhEJ6dbGVyhnBptHzsZwg/MBZNkyRD7fcLuSnB8k8JvszM rW85s9QVNVdDj8rwqN3bNiAi4dqhfWRv20+sAUtG6iBpW/XLwy0ort/o2PSzvcb7EhoIFxMuXD+G cClh4R6uQjiHrU/YmdP79d095nY2qWtpro4eleEhuLdtQETCtUP7sN62P5LwufHoqCbTmsnycIOE JhPhCPWzvdKRs8bTEQgXES5KVSE8g7Abv0YIL3EPe08h8gmn1Ob5QK09Qlbf1OydER6OZy2Rwfbs Z2eZuh7mVgo9Qx2s/cs+dW3S2K1vjYfj2fWetw1gzIZ1DNqXTUe8sdn2R1Y9C3dLQ7iMcPl2CwgX EDbjEQgv9lcin61P2KYLzgLPx7OWyGB49rMzS1fyZ1gp9KzUWbsapzNIGRKC6NqemqieO1Inaq6h zbuRaI82KfFGaNsP1z7Ds8bNHsKlhEd6gfCjCOdPBiB8zz08469ESjv9fiFrhNZEb41WnH3aEmty Q7ogXoog/xICv19Xx7PncTsftWHxPnvpiB2b13466Q97GYkQLiOcHhWE7yV8mzqPjAHCd93DJWx9 wp5FeSmviIQWKyLOOG2JlzqrfdoUQYaEIOzXHT0fz/bcomQxbNMbVZiU2BF67Xtrk+FZ42YP4VLC NjmbTKQgPI+wrsFDeLl7eN5fiZTa7xeqsllIYkZ+Y3tDMiE2dRP/cb/YcwOz1KOSNk6vRG6PRktG bFhGe4+OZKT9u745BMI5hEvqQLiUsOjGGLndtAPhh97D40fHCIdG7hmeS9G0RA3ePky3RyV4nU6P ikjKLMNEMJoaags5BuyNKmX/qaPjScO42UO4lHA+WwjPI+ytrE8+JYDwvHu4qM6kGj8fqDUZEDU8 s9oXNcV/Ja7mrf2LlmtNs3r3r5dsIxd7dCodH28teo3hSMReXbT3+1avIZwkPJq0QfhewnZNXQq+ 1BXCuYTL716fsFqdXTXUcv1sS1xNa//uqCvXmvq43/aSMsuckvEkZryF6JWG49ESbw1Vy6MpRTTt gHAR4Xy2EOYeXifhzDFECafU8vlAxcmAqOGFrwNqMhGuC9rXCrVE9xDbo9Gdwba+raNjSq8d+vG2 /ZsxB9ciI2MLXyJMjC3T7CFcRjgxKgg/gPBUWgzhBxAOX5guIqxWF74O6EwrXE0UEftaoZbY1Uc9 Gt0ZbOt7dVIl40lMtH70iuyVhiNMvTSs5RKsa6bSDggXEf72iG9wgjD3cEPCUTKZhFOKZ+SXy+Vy uYjI2/e31/9ecxoqVYXJwM1VvDxPWlehya001ryKy88fEIYwhLuLrQg/vzxPWldRorbyWOdafkAY whDuNtYnnMrqW/7+gP3n8n2uyCAXjlK3LwhDGMLdxTaEV2KN1aKI1OkFwhCGcKexPuGU2v8+cS0l 7ap8k8x6Y3TDwJIRwhCGcGexIeERu9LH383t+VExumFgiQhhCEO409iEcEpt5gMNf38gjLVMsUas fi0QhjCEO4sNCY/Y1dJ2WD9WuyIIQxjCncYmhFPa6e8PEB8UIQzh3iOE6xFegwFvL0IYwr1HCNck nNJ+5gPNTXGTEcIQ7j1CuB7h5qa4yQhhCPceIVyTcEr7mQ80N8VNRghDuPcI4XqEm5viJiOEIdx7 hHBNwintZz7Q3BQ3GSEM4d4jhOsRbm6Km4wQhnDvEcI1Cae0n/lAc1PcZIQwhHuPEK5HuLkpbjJC GMK9RwjXJJzS9PcLuZ8w6F2Xn79aD2HjgvDSgvDSgvDS+gXhhQXhpQXhpQXhVpr4fWKEEEIIIYRQ 71rd7xMjhBBCCCGE1qCJ/UJv39/qjGMJ/f7fb/eUo+urWLMgvLQgvLQgvLQgvLQgvLQgvLQgvLSU 8Iim3x9IPVlYv+zFv768tH6pboPR7reGMIR7jBCuSfjl5WUNr9ZtLP6CMIQ7jxCuSTil/ewXWoU1 bi5CGMK9RwjXI9zcFDcZIQzh3iOEaxJOaT/zgeamuMkIYQj3HiFcj3BzU9xkhDCEe48Qrkk4pf3M B5qb4iYjhCHce4RwPcLNTXGTEcIQ7j1CuCbhlPYzH2huipuMEIZw7xHC9Qg3N8VNRghDuPcI4ZqE U5p+n3gr+jKnw/Hs/v15fT8cz5/X92rWeDievDGlej8cT5/Xj9RZIqJHM2Pmldp+8yKEywiXc4Zw AWFLhnt4hYTVnM5DO+/X9/Px/H59b2KTp+Pp4/qRX+cU4zzZghczr1f7mmwfwjMIWz6TbUK4lLDX C/fwQn8llFIR4ZSazQeenp70c/Q30R4t3/AGYyuz6lKLtfHz+uG1EDXgoJcv69Xyw/Fc2nvmZEBE CluGcAHhWZwhnEvYI5P9PwLheoRDq3Nm9nB7zowiUtSXDOmjlp+P59J+M21e8lLVPxAuJ+zxmawP 4VLC9u7NaR/CpYTz796QcEpt9gs9PT39NbJzg8XkzEluzU8KLbO0/mQLMlnHmK5k2vbsRCQxnpEI 4bI4pGv5nCGcG2/bhPAaCTtzEhFre1r+KHvOjM5Kx63a60utV8sXWrMsSoAgXBotnxzOEC6NRdMt CN8ztvx7flJtng9UeSDg6ZsMa28yrKXpipqroUdleNTubRsQkXDt0D6yt+0n1s8kI3WQtK365eHj e9dvdGz62V7jfakMhOcRzucM4VLCpSv0EC4mPPsedub0cf1wj9SdmelamqujR2V4CO5tGxCRcO3Q Pqy37Y9YphuPjmoycZwsD7egaDIRjlA/2yv1UorMNU4IlxJ249cI4SXu4fHeIXwn4ehZmYRTav8+ sXtWsHw/f9TsnREejictkcH27Gdnmbqa61YKPUMdrP3LPnX119itb42H48n1nrcNYMyAdQzal01H vLHZ9tOrnpJn8LY+hHMJm/Hkc4Zw2T1cvu0NwmWEb+/kMsI2IXNmdjqetEQGY7Ofne25km/DSqFn pc7a1TidlcqQEETX9tRu9dyROlFzDW3ejUR7tEmJN0Lb/sja58jYvLQDwqWE8ycDEL7nHk6VQ/hO wuFZ+YRTajwfqDUZEM+irBFaE701WnH2aUusyQ3pgngpgvxLCPx+XR3PnsftfDRZF++zl47YsXnt J+x8pPdU8gHhLMK3KVQ+ZwiX3cPpUUH4UX8lor1kEfYsyjMzEQktVkSccdoSzxTVPm2KIENCEPbr jp6OJ3tuUSoTtumNKkxK7Ai99kce+o+MwdaBcClhXSGeTKQgPPsenre7HcI5hMOz8gmn1PL7hdxr AzWfD4Qv4antDema2MRC/Mf9Ys8NzFKPStq2vRK5PTputOOthb1HRzLSfqnNf4NwCWHRbRtyu6UE wg+9h0vvZAiXEb7nW8hCI/cMzyUQWqIGbx+L26MSvHSrR0UkZZZhmhJNXLSFnCTAG1XK/lNH81OK aB0IFxH21n0nnxJAeN49nHP3Qnge4ehZmYRTavl8oO77xF+GZ1b7oqb4r8TVvLV/0XKtaVbv/vWS beRij04Z7Xhr0WsMRyL26jKSifEI4VzCdsVXCr6uEcK5hOfeyRAuIDzr+4ss3y+rs+uyWq6fbYmr ae3fHXXlWlMf99teUmaZUzKeJo63EL3ScDxaMmMrgpdkQLiIsJZHkzYIP+oezmEL4fr3cEp7+/2B yOuAzrQ+g6/5ky/LvHmwrnW8lw6jO4NtfVtHx5ReO/Tjbfs3Yw6uRUbGFr5EqDF8FTIjQriA8GjS BuF7CY+OCsIPI2zGVkxYrS58HdCZVrheKyL2tUItseu7ejS6M9jW9+qkSsYtNlo/ekX2SsMRpl4H HH9BM5p2QLiIsJZLsHIM4YcQ/nPHt99AeOl7OKX4Xp3L5XK5XETk7fvb63+vOQ3do4W2DN1cxcvL pHUVpsIrjTWv4vLzF4QhDOHuYivCLy8vk8lBURqx8ljnWn5BGMIQ7jbWJ5zK6nf3/UJrMMiFo9Tt C8IQhnB3sQ3hlVhjtSgidXqBMIQh3GmsTzilNvuFqv84sYzYVfnj7/XG6IaBJSOEIQzhzmJDwiN2 pY/Rm9vzo2J0w8ASEcIQhnCnsQnhlPbze2RJu6plijVi9WuBMIQh3FlsSHjErpa2w/qx2hVBGMIQ 7jQ2IZxS+/1CtdTehrcYIQzh3iOE6xFegwFvL0IYwr1HCNcknNJ+5gPNTXGTEcIQ7j1CuB7h5qa4 yQhhCPceIVyTcEr7mQ80N8VNRghDuPcI4XqEm5viJiOEIdx7hHBNwintZz7Q3BQ3GSEM4d4jhOsR bm6Km4wQhnDvEcI1Cae0n/lAc1PcZIQwhHuPEK5HuLkpbjJCGMK9RwjXJJzS9PcLuZ8w6F2Xnz9a D2HjgvDSgvDSgvDS+gHhhQXhpQXhpQXhVpr4fWKEEEIIIYRQ71r17xMjhBBCCCGEWmliv9Db97c6 41hCv//32z3l6Poq1iwILy0ILy0ILy0ILy0ILy0ILy0ILy0lPKLp9wdSTxbWL3vxzy/Pa3ilY2PR 7vODMIR7jBCuSfj15bn1y80bjBcIQ7jzCOGahFPay36h5qa4yQhhCPceIVyTcHNT3GiEMIR7jxCu STiuvcwHmpviJiOEIdx7hHBNwiswxU1GCEO49wjhmoTj2st8oLkpbjJCGMK9RwjXJLwCU9xkhDCE e48Qrkk4rr3MB5qb4iYjhCHce4RwTcIrMMVNRghDuPcI4ZqE45p+n3gbUnM6HU+u5OP6cTqePq4f TWzyfDy/X9/z65yP5/CiJlvwYs71Wj6TbUIYwiskXDRCCM8jnDO2kLCa02Eg/Hn9OBxPn9ePatZ4 CCilej8cz5/X99RZIqJHM2P+lTo+2e1DOJew1wuEl7iHLZnsliFc9ldC+5p1D8fVfj7w9BT/TbTH KrQ6Z/kPt+fMKCJFfcmQPmr56Xgq7TcnVbV8JutDGMJrI2x7nxwhhOcRzmQbEg4Nb7D8MqsutVgb P6/vXgtRAw56+UoItPxwPJX2nj8ZKEx9IJxPWG7JQPjBhD0y2XcyhPPvYf9OLiccV+P9Qk9PT3U6 cuYkItb2tPxR9pwZXcIxbtVeX2rSWr7EmqVt07JKRQhDeG2EXXQJMYQXIpzJNiQ8mJPcmp9kW5oa 20ybT7Qgk3WM9UqhbZfFWeugEC5Otgo5Q7jobhwfFYTvjTMmSJKhls8H3JOBOlMCtTG3suVsUtfS XB09KsNDdm/bgIiEa4f2Yb1tf2T1141HRzVSJ7M83IKiyUQ4Qv1sr3ReWgPh2YQzV5EhPI+wu3u5 h5cmPM42JOzMya29ybC+pStqroYeleFRuLdtQETCtUP7yN62n0j7JCN1kKAkWR5ukHD9Rsemn+01 jpyVl7hAOItwRu8QvouwrqwXrtBDuOAe9p5ClBOOay/vE9uVLWeB5+NZS2QwPPvZmaWuhLmVQs9K nbWrceqq5MjantqtnluULNpr8UaiPdqkxBuhbX9k7TNzDzGE5xHO324B4RmE9e51Vw3hJe7hHLYh YZs0OCM8HM9aIoPt2c/OMl3JYIS+oQ7W/mWfg02KsVvfGg/Hs+s9bxvAWFqgY9C+bDrijc22H1v1 9M/KM3sI5xMeT+8g/ADC5ZMBCM+5h+/4KxFXs/lAndcGVJ5FWQu09mktVkSccdoSa3IuXXDn2hRB hoQg7NcdPR/P9twcOx+xYW9UYVJiR+i1P742OWn2EJ5H2KZlEH4sYTuVHRkDhO+8h3PYhoQ9iwoS X4kZrTj7tCVeAq0malME+ZcQ+P26Op49ZyeLkda8z146YsfmtR8kGf5ZeWYP4XzC/5Kz7EQKwmWE zeo7hJe6h+/7KxFXm/1ClScDIhIauWd4Lo3QEjV4+zDdHpXg+2H0qIikLDNcd4+uxGsLOTbsjSpl /6mjYZz3zSEQzidcVAfCRYRFRDfGyO3WHQg/8B7OuXtDwjEjv7G9IVETPWo3A6iF23PDlDowYFs/ WiK3R6MlIwYso71HR5JqP3rWZIRwPuFSthAuI6xkCp8SQDiX8Nw7eVoNng/UnwyIiFqdffiu5frZ lria1v7dUVeuNXWV1/aSssyckvF0fLyF6JWG49GScCtC0TeTQHgG4ZGkDcL3E3bPXnSjy+S2NwjP u4dz7t6QsBre7dqhBJ//lbiat/YvWq41zerdv16yjVzs0akkZry16DWGIxF7dVNJw2SEcD7hUrYQ 5h5eG+HMMYwQjqvZ8wHvn0vPENTqwtcBNY0I1wXta4VaYvf16tHozmBb36uTKhk32mj96BXZKw1H GL5E6LXvWps0ewjPI+w07w0NCI8THk+LIfwQwuFr05mE1fDC1wGdacXWFMW+Vqgldg1Sj0Z3Btv6 to6OKb12GDFgrzU7httrkZGxpV4a1vLYqEYihHMJy+O+wQnC3MNNCEeZFBKOK56IXy6Xy+UiIm/f 317/e80GU3J+AAAfzElEQVRpaLaWmwzYq3h+eZ5cx8q0ty5inWv58fMHhCEM4U5jfcKvL8+T1jUr XVtdrHkVFwhDGMIdxmaEE1n97r5faA82/0f+iEidXiAMYQh3GusTXpVBLhylbl8QhjCEu4utCMe1 l/nAiF257/EYr9NX1If+S/cFYQhDuNPYhPCIXbkv9Ruv00s0mw3q9AhhCEO4s9iUcFwtf4/Mqc67 xSN2lfldOh3FalcEYQhDuNPYhPCIXRXuhV11rH4tEIYwhDuLTQnHxfMB4vwIYQj3HiFck/AabHiL EcIQ7j1CuCbhuPYyH2huipuMEIZw7xHCNQmvwBQ3GSEM4d4jhGsSjmsv84HmprjJCGEI9x4hXJPw CkxxkxHCEO49Qrgm4bj2Mh9oboqbjBCGcO8RwjUJr8AUNxkhDOHeI4RrEo5rL/OB5qa4yQhhCPce IVyT8ApMcZMRwhDuPUK4JuG4pr9fyP2EQe/69fNX6yFsXBBeWhBeWhBeWhcILywILy0ILy0It9LE 7xMjhBBCCCGEehe/T4wQQgghhBCKaGK/0Nv3tzrjWEK///fbPeXo+irWLAgvLQgvLQgvLQgvLQgv LQgvLQgvLSU8oun3B1JPFtYve/EvLy9reLVuY9Hut4YwhHuMEK5J+PXlpfVLdRuMFwhDuPMI4ZqE U9rLfqHmprjJCGEI9x4hXJNwc1PcaIQwhHuPEK5JOK69zAeam+ImI4Qh3HuEcE3CKzDFTUYIQ7j3 COGahOPay3yguSluMkIYwr1HCNckvAJT3GSEMIR7jxCuSTiuvcwHmpviJiOEIdx7hHBNwiswxU1G CEO49wjhmoTjmn6feBtSczofz67k/fp+Pp7fr+9NbPJ0PH1cP/LrnI6n8KImW/Di5PV6vUy2D+FS wh4lCC9EOGdsEL7zHs4c4e1wvszpMBD+vL4fjufP63s1azwElFK9H46nz+tH6iwR0aOZMedKLZns liEM4RURtn1ltw/hmvdwXC3nA09PT/o5+rNoD1Rodc7yH27PmVFEivoSETdyLT8fz6X9Ttq89pLZ PoRLCZemXBCeQdilxflXAeEZ93A+Z/8v8a3hDcZWZtWlFmvj5/XDayFqwEEvX9ar5YfjubT3HJu3 ZLLNHsIQXgthr6/sliFc8x6Oq9l+oaenp79GS3fnzElErO1p+aPsOTO6hGPcqr2+1KS1fIk1S5sG 5bQP4dljy6wP4Rnx4/phKUH44YS/DVOOHM7+X+KvEmt+kmFmnrHNtPlECzJZx5iuFCZGs1OB6Kii EcIQXgthmZW+Q7iQ1Z33cFx72S+kiYJb03I2qWtpro4eleEhu7dtQETCtUP7sN62P5L2ufHoqEbq ZJbbcXrJRDhC/WyvNLP3MB2BcBHh6FkQfvg9LCL56TuEZxPO4Sw3+ibD2psMa2m6ouZq6FEZHrV7 2wZEJFw7tI/sbfuJ9TPJSB0kKEmWh4/vXb/Rselne41em4WrmxAuJlyYMkK4gLC3Rg7hxxLWZxd3 EI6rzfMBt1Po6enJbhlaVGpOH9cPZ4Gn40lLZDA8+9mZpa6BuZVCz0qdtatx6prZyNqe2q2eO1In aq6hzbuRaI82KfFGaNsfWftMlYdpB4SLCIdnQXiJe9hdL/fwQoR1GpPD2f9LPFiaM8LD8aQlMtie /ews05UMaYFvqIO1f9nnYJNi7Na3xsPx5HrP2wYwlhboGLQvm454Y7Ptp1Y9bc28COEywlK20QLC cwjrWRB+OOHyyYBHOK428wG7U6jOlMCzKC8hk1sLtKmbs+QwyXBH1T5tiiBDQhD2646ejid7blE6 HrbpjSpMSuwIvfaja5P37G6H8Djh8CwIL3EP57CF8DzC9u9D6T3sWZQ1Qmuit1Ynzj5tiTW5IV0Q L0WQfwmB36+r49nzuJ3f2upIiYTpiB2b1340JU2PKhUhXEY40QuEH0t4fAwQnk/YPN+Ydw/H1X6/ kJsSLP0KQWjknuE5k9MSNXj7MN0eFWOlXmsikjLLMNWOJt/aQk4S4I0qZf+poznJxEhNCBcRjp4F Ye7hjgiLiG49ktvNUZOEY0Z+Y3vDOpzoUbsZQC3cnhuYpR6VtG17JXJ7dDxZHG8t7D06kpH2c8YQ 1oRwAeH71lYhzD3ckrCSKXxKMK19/f6AiNiH71qun22Jq2nt3x115VpTH/fbXlKGmlMy/v0k4y1E rzQcj5ZEtyLo0ckI4VLClm0OZwhzD6+NsNtEpFuJJp8l+n+J5Y+I3K5sSfD5X4mreWv/ouVa06ze /esl28jFHp2y2PHWotcYjkTs1WWnFCM1IZxLeNZ3v0C4gHDeGCA8m7CkRpVNOK72zwfqSK0ufB1Q TS5cF7SvFWqJ3derR6M7g219r06qZDyVidaPXpG90nCEI6+03v/tNxAeIazlkpFIQXj2PSwZ69YQ nk14ZOIxTlgNL3wd0JlWbMVL7GuFWmJXyPRodGewrW/r6JjSa4eRFMdrzY7h9lpkZGzhS4S2/cSo RiKEywibsUF4qXv4zicwEE4R1vLYqDIJxxXfqHO5XC6Xi4i8fX97/e81p6F7tNB+IXsVLy8vkwlu USq88ljnWn79/AVhCEO401if8OvLy6R1Fb7oudJY8youEIYwhDuMzQgnsvr2+4UqvDwgIiuxxmpR ROr0AmEIQ7jTWJ/wqgxy4Sh1+4IwhCHcXWxFOK42+4Vq/jKx04hd6WP05vb8qBjdMLBEhDCEIdxp bEJ4xK7Kt3CsN0Y3DCwZIQxhCHcWmxKOq818oM4cwGrErpa2w/qx2hVBGMIQ7jQ2ITxiV7VMsUas fi0QhjCEO4tNCcfVfr9QHa3BgLcXIQzh3iOEaxJegw1vMUIYwr1HCNckHNde5gPNTXGTEcIQ7j1C uCbhFZjiJiOEIdx7hHBNwnHtZT7Q3BQ3GSEM4d4jhGsSXoEpbjJCGMK9RwjXJBzXXuYDzU1xkxHC EO49Qrgm4RWY4iYjhCHce4RwTcJx7WU+0NwUNxkhDOHeI4RrEl6BKW4yQhjCvUcI1yQc1/T3C7mf MOhdP37+aD2EjQvCSwvCSwvCS+sC4YUF4aUF4aUF4Vaa+H1ihBBCCCGEUO9a9e8TI4QQQgghhFpp Yr/Q2/e3OuNYQr//99s95ej6KtYsCC8tCC8tCC8tCC8tCC8tCC8tCC8tJTyi6fcHUk8W1i978a8v z61f5thgtPv8IAzhHiOEaxJ+fnlewyvOG4s/IAzhziOEaxJOaT/7hVZhjZuLEIZw7xHC9Qg3N8VN RghDuPcI4ZqEU9rPfKC5KW4yQhjCvUcI1yPc3BQ3GSEM4d4jhGsSTmk/84HmprjJCGEI9x4hXI9w c1PcZIQwhHuPEK5JOKX9zAeam+ImI4Qh3HuEcD3CzU1xkxHCEO49Qrgm4ZSm3yfeir7M6XA8uX9/ Xj8Ox9Pn9aOaNR6OZ29Mqd4Px/Pn9T11lojo0cyYc6WWTHbLEC4gbPvKbh/C3MPbIazmdBra+bh+ nI6nj+tHE5s8H8/v1/f8OucY58kWvFh0vTkjhPA8wjljg/Cd97CjxD38cMJeL0WEU2o8H3h6enIf oj+L9lD5hjcYW5lVl1qsjZ/Xd6+FqAEHvXxZr5YfjqfS3nNs3pLJNnsI5xL2+spuGcLcw9shHFqd s/yH23NmFJGivkTEjVzLT8dTab9Fk4HJEX6D8CzCmWwhfM89nJ/EQ7iUsPaS2b5kqOV+oaenp7+D lu/NmZPcmp8UWmZp/ckWZLKOMV3JtO1ZUaZGlToLwrlxRnIJ4fx42yb38BoJO3MSEWt7Wv4oe86M LuEYt1KvLzVgLV9uzdIlE5ZVKkJ4RsxkC+E7xwbhhQjbyUBO+5KhZs8H3GSgYod/ZFh7k2EtTVfU XA09KsOjdm/bgIiEa4f2kb1tP7F+Jhmpg6Rt1S8PH9+7fqNj08/2Gi2ZcG0yI3GBcBZhSwPCCxGe GhWEH0N49j2sqZhbnXU2pmtpro4eleEhuLdtQETCtUP7sN62P2KWbjw6qpE6meV2nF4yEY5QP9sr DZMMyUhrIHwP4czkEsJFhKNnQfjh9/Dk2KKEU9rP+8T/El9nhIfjWUtksD372VmmKxnSAt9QB2v/ ss/BJsXYrW+Nh+PZ9Z63DWAsLdAxaF82HfHGZtuPrnqWTwb+QLiI8G26CeGlCBfu+IdwGWFbs5Sw mtP79d1Z4Pl41hIZDM9+dmapq7lupdCzUmftapy6sj6ytqd2q+eO1Imaa2jzbiTao01KvBHa9qNr n5qgSIbZQ3gG4fxECsIzCIdnQXiJezjayyThlNrMB9zDgaenJ31/YHndWJQ1Qmuit0Yrzj5tiTW5 IV0QL0WQfwmB36+r49nzuJ3f2upIiYTpiB2b134qyShJVb9BuIhw3hggfD/hsBcIP4xwelTThD2L 8tIFEQktVkSccdoSL+1Q+7QpggwJQdivO3o+nu25RUYbtumNKkxK7Ai99r21SbtaOTIGO04IFxEu SqQgPINweBaEl7iH572hkVL7/UK1Ng6FRn5je8M6nFjbE/9xv9hzA7PUo5K2ba9Ebo+OpzLjrYW9 R0cSb1/JFD4lgHAu4ewxQPguwvc/44LwOOF77uHQyD3Dc/amJWrw9mG6PSrGSr3WRCRl2KGJRm1V W8hJArxRpew/ddTrVzcVyO22h1R9CBcRzjkK4Tvv4SLOEK55D6fUbL+QzgHcg4LlO/wyvNv1bwk+ /ytxNW/tX7Rca5p1sn+9ZBu52KNTqcx4a9FrDEci9uqmkobJCOF8wpljgPB8wrO+XQfCBYTv/Cuh Vmcfvmu5frYlrqa1f3fUlWtNfdxve0lZZk7J+PeTjLcQvdJwPFribUVw2wN0k8Dk+h+ESwmn0jUI P4qwZZvDGcI17+GU9vb7A5HXAZ1pxdbFxb5WqCV2HV2PRncG2/q2jo4pvXbox9v2b8YcXIuMjC18 idBFLY+NaiRCOJfw+AuaEH4UYTM2CC91D8dGlUVYrS58HfDPkAqH64L2tUItsft69Wh0Z7Ct79VJ lYwbbbR+9IrslYYjzHnhUoKUIloHwqWEw1dOIfxAwlouGRNaCM++hzM3C3mEU4rv1blcLpfLRUTe vr+9/vea01CRvD1CC20ZurmKl+dJ6yp8DXGlseZVXH7+gDCEIdxdbEX4+eV50rqKTG7lsc61/IAw hCHcbaxPOJXVt9kvZPcI1Xx/YCUGuXCUun1BGMIQ7i62IbwSa6wWRaROLxCGMIQ7jfUJp9Rsv5BO CWr9CkHSrso3GKw3RjcMLBkhDGEIdxYbEh6xK32M3tyeHxWjGwaWiBCGMIQ7jU0Ip9Ty/YG6v0eW tKtaplgjVr8WCEMYwp3FhoRH7GppO6wfq10RhCEM4U5jE8Ip7ef3yNrb8BYjhCHce4RwPcJrMODt RQhDuPcI4ZqEU9rPfKC5KW4yQhjCvUcI1yPc3BQ3GSEM4d4jhGsSTmk/84HmprjJCGEI9x4hXI9w c1PcZIQwhHuPEK5JOKX9zAeam+ImI4Qh3HuEcD3CzU1xkxHCEO49Qrgm4ZT2Mx9oboqbjBCGcO8R wvUINzfFTUYIQ7j3COGahFOa/n4h9xMGvevy81frIWxcEF5aEF5aEF5avyC8sCC8tCC8tCDcShO/ T4wQQgghhBDqXav7fWKEEEIIIYTQGjSxX+jt+1udcSyh3//77Z5ydH0VaxaElxaElxaElxaElxaE lxaElxaEl5YSHtH0+wOpJwvrl73415eX1i/VbTDa/dYQhnCPEcI1Cb+8vKzh1bqNxV8QhnDnEcI1 Cae0n/1Cq7DGzUUIQ7j3COF6hJub4iYjhCHce4RwTcIp7Wc+0NwUNxkhDOHeI4TrEW5uipuMEIZw 7xHCNQmntJ/5QHNT3GSEMIR7jxCuR7i5KW4yQhjCvUcI1ySc0n7mA81NcZMRwhDuPUK4HuHmprjJ CGEI9x4hXJNwStPvE29FX+Z0OJ7dvz+v74fj+fP6Xs0aD8eTN6ZU74fj6fP6kTpLRPRoZpy8Uq+X 7PYhnEvY4wPhhQjbfiG80D1cyNny/TKn80D4/fp+Pp7fr+9NbPJ0PH1cP/LrnGKcJ1vwYs71Wj6T bUIYwiskbPuabB/CNe/hlNrMB56enryS6M+iPVS+4Q2WX2bVpRZr4+f1w2shasBBL18JgZYfjufS 3jNsXm7JZLYM4XzCxSkXhEsJD2lxUcsQLruHyzlbvr7VOUt7uD1nRhEp6ksG69Xy8/Fc2m+OzVs+ k/UhDOG1Efb6yqkJ4Wr3cEoN9gs9PT39vVWVbp05ya35SaFlltafbEEm6xiTllLbnpEKFCasEC6I s1aaIVwQP68fifFA+GFxmHLkc7Z8/3yTbyJibU/LH2XPmdGZ6LhVe32p6Wr5EmuWtk3LKhUhDOG1 Ef5TmMRDuDRaPqX3cEoNng/UmgB4+koX3MqWM0tdUXM19KgMj9q9bQMiEq4d2kf2tv1E8icZqYOk bdUvtyPUEh2tNzb9bK8xu/dU4gLhLMLRsyC8wD0cHQ+EH044n7Pl++2P/Pm4frhH6s4mdS3N1dGj Mjxk97YNiEi4dmgf1tv2R1bO3Hh0VJOmO1kePr7XZCIcoX62V+q1mbnGCeHZhDMTRwjPIOytkUP4 sYTd+DUWEU6p/fvE7nHB8v38UbN3Rng4nrREBtuzn51l6kqYWyn0DHWw9i/71JUzY7e+NR6OJ9d7 3jaAsbRAx6B92XTEG5ttf3TVM1WeSj4gnEnYPwvCy9zDks0WwsWEzXjyOVu+/8zMWeDpeNISGQzP fnZm6Uq+DSuFnpU6U1TjdAYpQ0IQXdtTE9Vzi9Jxey3eSLRHm5R4I7Ttp9Y+bc3xCOF5hP/kbbSA 8D2ER8YG4TsJ508GPMIptZ8P1NKNRQVpmcSMVpx92hIvvVMTtSmC/EsI/H5dHc+es9PxSGveZy8d sWPz2o9uJ7h/dzuE04T9syC8xD1cwhbCZYRv/z7MuYc9i7IWaO3TmpyIOOO0JdbkXLrgzrUpggwJ QdivO3o6nuy5OXZu+x0pcZ+9pMSO0Gs/mpLapGHc7CE8j3Bq5BB+IOHxMUD4HsL6fKD0Hk5pX98v FL6Ep7Y3WJ3oUbsZQC08kd55Bilpy/RK5PZotGQkCZDR3qMjGWl/8mi0PoQzCUfPgvADCXMPL34P 69Yjud0WlUk4NHLP8Nw6mZaowduH6faoBC8s6lERSRl2uCocXSfWFnKSAG9UKftPHc1PKaJ1IDyD 8Ly1VQhzD6+BsPfsYvJOlgw1fj5Qa7OQqOHdbtWQ4PO/Elfz1v5Fy7WmWb3710u2kYs9OvXNJOOt Ra8xHInYq8tIJsYjhPMJS2pUEOYe7oKwfWoh6S9CHSGsVmfXtLRcP9sSV9PavzvqyrWmrqPbXlKG mlMybrHjLUSvNByPloys8GmdkQjhGYSLvvsFwrPv4dnvD0B4nLD9y1D6VyKlfT0fkNjrgGp14bqg fa1QS3QPsT0a3Rls69s6Oqb02qEfb9u/GXNwLTIytpFXWh/17TcQjhLW8tioIPywe9iMHMKPJ3zL rZiwWl34OqAzrXCtS0Tsa4VaYtfG9Gh0Z7Ct79VJlYxbbLR+9IrslYYjDF8itO07zdvdDuEcwtoa hJe7h2c/gYHwOGEtl/K/EinFl+cvl8vlchGRt+9vr/+95jQ0T4s+H7i5ipeXSeualRCvLta8isvP XxCGMIS7i60Iv7y8TCYHma94dhHrXMsvCEMYwt3G+oRTWX3L/UIVNwvJqgxy4Sh1+4IwhCHcXWxD eCXWWC2KSJ1eIAxhCHca6xNOaT/7hZJ2ZR7NNzfpe2N0w8CSEcIQhnBnsSHhEbvK37zRS4xuGFgi QhjCEO40NiGcUsv5QN0fJkvaVS1TrBGrXwuEIQzhzmJDwiN2tbQd1o/VrgjCEIZwp7EJ4ZR2+vsD xAdFCEO49wjheoTXYMDbixCGcO8RwjUJp7Sf+UBzU9xkhDCEe48Qrke4uSluMkIYwr1HCNcknNJ+ 5gPNTXGTEcIQ7j1CuB7h5qa4yQhhCPceIVyTcEr7mQ80N8VNRghDuPcI4XqEm5viJiOEIdx7hHBN wintZz7Q3BQ3GSEM4d4jhOsRbm6Km4wQhnDvEcI1Cac0/f1C7icMetfl54/WQ9i4ILy0ILy0ILy0 fkB4YUF4aUF4aUG4lSZ+nxghhBBCCCHUu1b6+8QIIYQQQgihtprYL/T2/a3OOJbQ7//9dk85ur6K NQvCSwvCSwvCSwvCSwvCSwvCSwvCS0sJj2j6/YHUk4X1y17888vzGl7p2Fi0+/wgDOEeI4RrEn59 eW79cvMG4wXCEO48Qrgm4ZT2sl+ouSluMkIYwr1HCNck3NwUNxohDOHeI4RrEo5rL/OB5qa4yQhh CPceIVyT8ApMcZMRwhDuPUK4JuG49jIfaG6Km4wQhnDvEcI1Ca/AFDcZIQzh3iOEaxKOay/zgeam uMkIYQj3HiFck/AKTHGTEcIQ7j1CuCbhuKbfJ96G1JxOx5Mr+bh+nI6nj+tHE5s8H8/v1/f8Oufj ObyoyRa8mHO9ls9kmxCeQdj2Ndk+hLmHt0RYzekwtPB5/TgcT5/Xj2rWeAgopXo/HM+f1/fUWSKi RzNj0ZXa3qcihMsIl7CF8Mx72PHhHn44Ya+XWYTjajYfeHp60s/R30R7rEKrc5b2cHvOjCJS1JcM 1qvlp+OptN8cm7d8JutDuJSw11dOTQhzD2+GcGh4g+WXWXWpxdr4eX33WogacNDLV0Kg5YfjqbT3 osmAiGS3DOECwoVsITznHi5P3yGcT1huycwgHFeb/UJPT09/jezcYCE5cxIRa3ta/ih7zozORMet 2utLTVfLl1iztHzs55H6EJ4xthy2EJ4XbZvcw2sjPJiT3JqfZFuaGttMm0+0IJN1jElLUWI0Iw7J RHRU0QjhgljIFsLFcdZaPoRzo50MlLQ/rb3sF3Lm9H59d4/UnaXpWpqro0dleMjubRsQkXDt0D6s t+2PrJy58eioRupkloeP7zWZCEeon+2VWj4ac1IfCBcRtkwgvBDhotQcwrMJz7iHnTm5tTcZVrl0 Rc3V0KMyPAr3tg2ISLh2aB/Z2/YTlikZqYMEJclyO0Jr1dGx6Wd7jbHxREeVSlwgPINwUWoI4SzC 0bMgvMA9PNL7JOG49vI+sU15nQWej2ctkcHw7Gdnlq7kz7BS6Fmps3Y1TmeQMiQE0bU9NVE9t8ho 7bV4I9EebVLijdC2H137zJ8M/Pm6HSFcRthyhvByhDP3/UN4HmFbM5+wmtPn9d0Z4eF41hIZbM9+ dpapa7pupdAz1MHav+xT19eN3frWeDieXe952wDG0gIdg/Zl0xFvbLb96KqnGY9kmz2ECwiXJ1IQ LiLsnwXhZe7hSC/ZhONqMx+we4Tc3qGle/QsylqgtU9rsSLijNOWWJNz6YI716YIMiQEYb/u6Pl4 tufm2Lntd6REYkmJHaHXfpgw6frlpM1/+7odIVxGOGcMEL6fcHTkEH4UYTu1yCfsWVSQNEjMaMXZ py3xkg81UZsiyL+EwO/X1fHsOdtoI615n710xI7Na99LMm7TjpExhKOFcBbhWYkUhIsI+2dBeIl7 +L43NOJqtl9IpwQVJgMiEhq5Z3hunUxL1ODtw3R7VIJXQvWoiKQMO1yzjK5iags5SYA3qpT9p47a 6K1KTj4lgHAp4dKEFcLzCN/zjAvCy93DMSO/sb3B5ESP2s0AauGJ5MMzaUnbtlcit0ejJSNJgIz2 Hh1Jqn3RTQVyu+FhNEI4n3DOUQjfdQ/P4gzhfML338NxNdsvpK8UV3iZWETU6uzKt5brZ1vialr7 d0ddudbUFTLbS8osc0rGU5nxFqJXGo5HS7znAFoeTSmiaQeEiwhnjgHC9xAu+nYdCM++h2f8lVDD u91IIMHnfyWu5q39i5ZrTbN696+XbCMXe3Tqm0nGW4teYzgSsVdn0xpdj5T0VxzGUg0IZxGOjgfC DyUsqVFBeDX3cFxtng/YPUJuSrD0UwK1uvB1QGda4Yq4iNjXCrXErqDr0ejOYFvfq5MqGbfYaP3o FdkrDUcYvkToopZLsK6ZSjsgXEQ4SgbCDyesrUF4uXt4xl8JNbzwdUBnWp/B1/zJl2XePFjXOt5L h9Gdwba+raNjSq8d+vG2/ZsxB9ciI2PLe+FSss0ewgWEw5dNIfxAwloeGxWEH3YPF24W8gjHFU/E L5fL5XIRkbfvb6//veY0VCRvArDQfMBexfPL82T6lfkCYhexzrX8+PkDwhCGcKexPuHXl+dJ65pl dauLNa/iAmEIQ7jD2IxwIqvf3fcL7cHm/8gfEanTC4QhDOFOY33CqzLIhaPU7QvCEIZwd7EV4bja 7BfyXhuo//1CNuZvLeglRjcMLBEhDGEIdxqbEB6xK/NovrlJ3xujGwaWjBCGMIQ7i00Jx9Xy+4Vq djdiV0vbYf1Y7YogDGEIdxqbEB6xq1qmWCNWvxYIQxjCncWmhOPay36hNRjw9iKEIdx7hHBNwmuw 4S1GCEO49wjhmoTj2st8oLkpbjJCGMK9RwjXJLwCU9xkhDCEe48Qrkk4rr3MB5qb4iYjhCHce4Rw TcIrMMVNRghDuPcI4ZqE49rLfKC5KW4yQhjCvUcI1yS8AlPcZIQwhHuPEK5JOK69zAeam+ImI4Qh 3HuEcE3CKzDFTUYIQ7j3COGahOOa/n4h9xMGvevXz1+th7BxQXhpQXhpQXhpXSC8sCC8tCC8tCDc ShO/T4wQQgghhBDqXfw+MUIIIYQQQiii5H6ht+9vNceBEEIIIYQQqq/4fiGEEEIIIYTQHsR+IYQQ QgghhPYr5gMIIYQQQgjtV8wHEEIIIYQQ2q+YDyCEEEIIIbRfMR9ACCGEEEJov2I+gBBCCCGE0H71 /wA7IlfcE7Au7QAAAABJRU5ErkJggk== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0136_image113.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEANQA1AAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7 Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCAC7AhYDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD1O8e1 tJAn2GBgVyWbaoHtz+NV/ttp/wA+Np/38T/Crkv/ACF4f9z+jVBY62LnfJcJDb27MqwymcHexJGx hgbXGBkc9frQBF9ttP8AnxtP+/if4UfbbT/nxtP+/if4VeOr6apwdQtgdzLgyjOV+8Pw71Bb69Yz S3StcQRpAFdXMwIeMqpD+wycfhQBCLu1ZgosLQk9B5qf4Uz+0bH/AJ9LL/v9HVq+vLa5tpY4LmKV omAkCOGKZzjOOlcf/bMttNIl5A2wf6sQoS3fGcnBBC8Ed+MDux2Om/tCx/59LL/v9HR/aFj/AM+l l/3+jrm28Q2iNIXSZYYlO6VkwNwYLgfif0qe01i0vZpY4mlBiBLF4yoIBwSM9aLBZm7/AGhY/wDP pZf9/o6P7Qsf+fSy/wC/0dc9bat9r0oXkQUu0nlhc5G4sAP0INBvrq3urr7V5TW8RURrAjGRi3Kj k4PGc9KLBY6H+0LH/n0sv+/0dH9oWP8Az6WX/f6Oud/t6zZvlaXAJxmFvnwD938RjnrVqO5eS7SL yysb2/mjdkODnGCO3WiwWNn7dZ7N/wBjs9ucZ86Pr6Un9oWP/PpZf9/o6yLuSaK2keBN8gZdoxns e2Rn6Z5qhF4ghWAG5jl8xVy5iQlD0xgnnncBzjnI7UWCx039oWP/AD6WX/f6Oj+0LH/n0sv+/wBH XNnxFZxoPPWeNyGYRiMs2A5QHA9SKdca3bw6fDeqT5c0gQBxtIH8XB7gA0WCzOi/tCx/59LL/v8A R0f2hY/8+ll/3+jrFubi4EkkNt5e9IfM3SZIznAHHsGqsmsC3tYmv8mV4xIfs8bFfm+6McnJGfyN FgsdH/aFj/z6WX/f6Oj+0LH/AJ9LL/v9HWFb6tBcziKMSsSSP9WR5eACdx/HGfXinadf/wBoRzSL t2JKUQq2dy4BBP1zRYLG419ZqcNZ2YOAcGaPvyKT+0LH/n0sv+/0dc/fX1xZTQlIlaAqhkOCT90Z Ax0OBxnqeMjuw6/ASixQXLu7ABdmOC4XOc9Mk/kaLBY6P+0LH/n0sv8Av9HR/aFj/wA+ll/3+jrm 18R6c8qRo8zb2KhhEdo5I5P4GrMeoJJrEunAjfHGG68k9x+RX9aLBY2/7Qsf+fSy/wC/0dH9oWP/ AD6WX/f6Ouda8v5TaPbfZhHcSMv7wMTgbiCMHuq/rQ+v2S5H78HaWyYSQBxgnHY5GO5zRYLHRf2h Y/8APpZf9/o6Vb6zc4WzsycE4E0fbmufm1JjYTXNspPknkyRttcd9uOvPGe3JPSrx5I57N7/AMDU hGj/AGhY/wDPpZf9/o6P7Qsf+fSy/wC/0dcyusywTSJeQN1xGsKEt365ODkYwR15GBinf8JDaBnZ lmWFQB5rJwzF9uB/OnYdmdJ/aFj/AM+ll/3+jo/tCx/59LL/AL/R1g2ms2d553lmVRApZ/MjKcDq RnrTbXVPtWlw3cYUvLII9oOQGLYP6ZNFgsdB/aFj/wA+ll/3+jo/tCx/59LL/v8AR1zq6hdW81yb 3ymhicIggRi5JAYZycH5c56dKP7es2PyGYj5sDyWzJg4+X8RgZ60WCx0X9oWP/PpZf8Af6Ol+3We zf8AYrPbnGfOj6+lYouJjfRx7V8mSIuAQQ64x1/PGPapZpp4beSS3TfIHGBtLcYGTgEE4HYUmOMe aSRq/b7L/nzs/wDv9HR9vsv+fOz/AO/0dYcXiKAQqbiKUSBRvMSbkJO37pzkg7hjOOh9KP8AhJrK OIGdJ45Sm8xCMswG8qOnqRU3fY6fq67m59vsv+fOz/7/AEdH2+y/587P/v8AR1h3mtun2OW12mGd WYiSJ9xwyjGRwnU8txxU1/e3qRXLWYgH2eVY8zBiDkDPAI5yw/WjmYfV13Nb7fZf8+dn/wB/o6Pt 9l/z52f/AH+jrJk1uC2fybgSmZTtbyoiVZgMtg+gwc5qS31NbxZFtUkmdY2ZSUKITkgLk9D0/Dml zPsH1ddzR/tCy/587P8A7/R05r20RirWVmCOxmjqlaTvcafFNIVLumX2AgBu4APvxVG81G4sJ48R BrbALkKSx+XJC44zgcA9ecHjBalcl0Ena5tfb7L/AJ87P/v9HR9vsv8Anzs/+/0dY58QW7SxxRQX Lu7quNmAAX2bs56ZyffFJD4l024mhiieZvOPysIjtHJAy3TsaOZ9ivq67mz9vsv+fOz/AO/0dH2+ y/587P8A7/R1iW+rzG5vkn8spbCVhtjdcBDjknhsj06fjUj3t/Bejz/sy2y2/nSAKxkGAAQDnH3j 6dKOZh9XXc1/t9l/z52f/f6Oj7fZf8+dn/3+jrI/t+zL+X++jYMqsZIWwCSMrn1GeewpzapI8tj5 MRWK5YgiZSr4HoM8cc55zwO9LmfYPq67mqL6zY4WyszgE/66PoOtH2+y/wCfOz/7/R1Wn+6Mn+9/ 6CazI9climkjvrdtxfEawISRz0OTz1GCODz0xinzXF7BXtc3Pt9l/wA+dn/3+jo+32X/AD52f/f6 OsVfElmSWZZkhyipKycOzMygAf8AAc/Smv4ghuNOurix3iS3UNieFgCCRzjqevai77D+rrubn2+y /wCfOz/7/R0fb7L/AJ87P/v9HWXb3888NuFWMyzGQEkMowmRnaeRk7eDyM1Db6tLBbCTUzGSzuFN tG2FVW2ksCSeuOnqKOZh9XXc2vt9l/z52f8A3+jo+32X/PnZ/wDf6OsmLXbWZ1Ea3DF9uI/JYOM5 5PtgZ9hU9pNdPd3cU5iKRMBGYwQecnByeTjb0x1pcz7B9XXcv/brPaG+xWe0nAPnR9f8kUfb7L/n zs/+/wBHWbfTz28by26B5A3dS2BhMnA5P0HP16VXj8QweWoninEnyq3lpuQscDCnPIOSR6gGndkq gn1Nr7fZf8+dn/3+jo+32X/PnZ/9/o6w/wDhJ7FIVadJ45TGsjRLGXZQc46fTNLc6zIlxaG3KNBc Juw8T7j84UjI4Xr/ABemKLvsP6uu5t/b7L/nzs/+/wBHR9vsv+fOz/7/AEdZN7e3wjlaz+zjyrhY czBjnO0HoR/E36Ur65bQSCGYTeaDtOyMlSQDuIP90bW5PpS5n2H9XXc1ft9l/wA+dn/3+jpP7Qsh /wAudn/3+jrK/tuI2cs8cc03loGysRAZicBRnvyOPerUUxn05ZSwYvFklQQM49D0o5n2D6uu5uW0 NrPAJDZwoSSCu1TjBx1opdO/48l+rfzNFWchHL/yF4f9z+jVlyeG7i78uS+uLW4mSVWYmAhJAFK7 mUH7+GPPTgDFakv/ACF4f9z+jVeoA5eHwreLeXc815bSG4jdQwhbepJXHJbphBwMe2Kdd+Gby9ld 557Jg7CRlEDAMwCYB+b7uUPvg1sanNcQNZmCUIr3KJICmd6nPGe1XqAMOPTTpelzw/uMPcGRRDHs ABAABGevFc8dIgATylVUaVZJQ5Zs4JbC5OFyxyfqa7HVf+PI/wC8K55fuD6UAU/7Hsdxbym3Eklv MbOSQSc59h9BxSLo1iolwkn71WR/3z8huvfir1FO47sgWzgWRpNrFmdZDucn5lG0H8qbLYW8xmLh yZypciRhyvAI54/CrNFIRmRaHbDzDOoZmld18tmUKpzgYz2B/Pmry20STrMoYOkflD5jjbnPT8Ov WpaKLjuQ3FvFdQtDMpZDIp4JByASDkdOQKqjSIHaZZlUxOiRoqFg20HPzHOSSTz6jrV/1/3x/wCg mloC5RbR7Fgw8plDHJ2yMMndu7H1/wAKcul2iIqKsgVVdQPNbo4w3f2/CrlFFwuyFLWJEZVUgOgj J3HO0DA5+lVLzR4Z7TyovldYliRnZmAUevPJxkA9ea0aKLhcqQ6ZaW8/nRRsHB7yMewHc+3581NB bQW28QQpEJG3sEUAE4Azx9BUtFAirNZRTTLchR9ojjQIWZtvCgjcAeQDzUMei2YghSWPe0cQTKsV HXcSBnjn8ccVfXp/wFP/AEBaWncd2UG0WwcgmOQYGABM4AGSeBn3NTixgEwlAk3CR5f9Y2NzDDcZ 9O3arFFK4XZD9lh/0fCkC2OYwGIA4xz68E9apNods1yrbf3AjZSm9t24kc5z0AAAHbAx0rToouFy qNNtRbtAFkWNm3MBKwzxjB56eo6GrJ4IxxgN/wCgNS0jdR9G/wDQGoEUP7JgjeIQKqxLKJXVyzHI yVC5PA3Ek/U+tOXRrBCCIW3Ak7vMbOSc5znr/TjpV6incd2UF0WxRJEVJcSoUf8AfPyCQT39hVlb SFZWkwxZpfNJZifm27c/lU1FIVytJp9tN53mK585w74kYcgYGOeOOOKqw6HbBGM67pDI7ZjdlADE kDGeMZ/PmtOincd2V1soFvPtYDiXyxH/AKxtoUf7OcfjUxtYrxGhmBK+YGG1ipBABBBHIINOqS3+ +3+9/wCyiplsXS+NFZdGt2aYTojRvsVETcuEToGOfm5Jz2IxT20TT2Vl8pwGOTtlYZO7d6+p/Lir 9FY3Z6Vij/Y1liJdsu2HdtXznwQSCQRn5hkDg1PLZQTW8kDq2yV977XIJbOc5HPUVPRRdhYzbzRo LqdJQAN0wkmBZvmGCMLg/LknJ9cc1NDpdpbrIsKyJ5ilWIlbPJzwc8HnqPb0q5RRdhYjWNIoBHGo VFXAA7CqkmnxTSG6RV+1BAqM5YpwONygjOCT+dXm+4fpTIvuH8P5CmnoQ/jXz/QpJodiIoVkiLtF EsYO4gYUhuBnjJHPr0NL/YlgXV/LkyuNv75+MEkd/f8AzitCildl2Ka6XaK0zbXYzklw8rMOTuOA TwCew9Klms4J5WllUszRGIjccFScnjpnPfrU9FF2FjKTQbb7TNJKN6Ns8sB3DDbydxz8xJ5z3zzm ra6bar5GI2/0f/V5dj3zzzzzg89CBVqii7CxFOcKD7N/6Capro0EMsAt0VYYpPMZXLM2QCFCkngD JOKuT/cH0b/0E1KetO9kQviZQj0TT4tpSFgV6N5rZ6k5JzyeTz3HFImh2EcUkSpKFkUI3798kAg9 c+w5rQopXZdiCC0htyhjU7kUqGZix5OTknqSe9QSaVbNbiNFO5C7Rl3YgMxyc88jdg49hV6ii7Cx m2mh2dvHBuQtLEigsJHwSO+Cfc/hxV9IkjLlRgyNuY+pwB/ICn0UNtgVLi0hvGMU4YqH3qVcqVYB cEEcg1CmjwMZvtCIyu6FEjyoCoMKG55757Hjiri/69vqf5JUtNtkQW5nnQ9PKbPKcKTkgTOMnn39 /wCXpThpFmGhO2XEIIVfOfBBbdgjOG555q9RSuy7Igks4JIDCysEMnmHa5BLbt2cjnrVS50aC4uo 5goA80ySgs3zfKRhcHjliSOhyfWtKii7CxSi0mzhikiRHCyABv3rE8HIIOcg5xz14HpVjykhtDFG u1EjKqPQYqWmS/6l/wDdP8qLgbGnf8eS/Vv5mijTv+PJfq38zRW55JDdSpBqcUkhwirycE4+9Uv9 qWX/AD2/8cb/AAqO5QSanFGxbayc7WK5+96VN9gt/wDpr/3+f/GgCtdXGnXghEs7jyZVlXZuX5h0 zgcj2qf+1LL/AJ7f+ON/hUNyNPtJIo53lVpjhcSSEdhkkHgZIGTxkj1qx9gt/wDpr/3+f/GgCrfX tvc2/lQuXcngBD6fSsJZF2jh+n/PNv8ACt++tkt7fzImlVwcA+ax/rWBBqlrLJJG088Pl/xyzsqv gkHB3dsHIPPfoRSbsaQpuewvmr6P/wB+2/wo81fR/wDv23+FT/arXzjD9tPmKpYr9pbgAgc88ckf nRPcRQW883nTSeQpZ0jnYtwM4xu60uY0+ry7kHmr6P8A9+2/wo81fR/+/bf4VJFeRyRK5N3GzS+T 5bytuVuuDhiOnPWmWeoR3Ycst7a7HEY+0SldzHsMMcn2o5g+ry7ieavo/wD37b/CjzV9H/79t/hV kzQgFjdNsGcv9pO0HIGCd3XkU1J1e7kts3Sui7gWkYBx0JHPY0cyH9Xl3Ic/IX2vt8wDPlt/dPtS eavo/wD37b/Cprq5+yRO8ks5jVlO1ZWySQQOSfXHUgU2C+tZ4RJ9rkiJBJSW4ZHTHXcC3FHMSqDf Uj81fR/+/bf4Ueavo/8A37b/AAqeO5tpY/MS8YoN3P2hv4TtPfseKiu9QitDET9rmSRWbfFKWVVX GSfm6c9s0cw/q8u43zV9H/79t/hR5q+j/wDftv8ACnXuoR2SysVvZvJ27xFIxIzkg8sPT9RUyXET RB3nlhO0MyS3DKyZ6bhu4o5g+ry7lfzV9H/79t/hR5q+j/8Aftv8KsmVFDDzZy6gny1nYuwBxwN3 rRbSLdW6TI9wob+FpmyCDgg8+opcyH9Xl3K5PlkK6uDtT/lm39xfak81fR/+/bf4UTanHBPFFPJd FpFUl1kbagwoy3PAz1Pbv1qZ72zjQO1/wWCjF0xySQP73qR+dNyJVBtXuQ+avo//AH7b/CjzV9H/ AO/bf4Vb3xbgv2p9zEgD7S2SRwR1qtDfxzXUtuReRmMsN7yttfbjdjDE8ZHUDrRzD+ry7jfNX0f/ AL9t/hR5q+j/APftv8KRdSR7qGBYdQInjEiy7zsC4ByTuz3HbvVrzoioKXLybgGUJck5GcZHzdOa OYPq8u5W81fR/wDv23+FKD5jBUVycMf9W39xvapZ7u3gjSRrmVlklWFSkzNlicY4P5+mDUsm+PBS aYH5h/rWP8J96OZCdCSV7lTzV9H/AO/bf4Ueavo//ftv8KINUtJnkUzzwhDw005VX5I+U7ucYOR1 HcVOLq1adoBekyKNzKLluBnbzz68Ucw/q8u5B5q+j/8Aftv8KPNX0f8A79t/hU1xdRW9tNP500og GXSKdmb6Y3dabHeRvEjk3aM8hi8tpW3KwBJBw2OgPejmD6vLuR+avo//AH7b/CjzV9H/AO/bf4Ut lqEd4jMy3lrh/LAuJSpdueBhjk8HirHnQ9ftT7P7/wBpO3OcYzu65o5g+ry7lbzV9H/79t/hUsDh QZGDhS+M7G67R7VJHKss00SyXAaBgrZlcckA8c88GoL+7NnCWaW4KiQAKsrZJIAAySO57nFF1LQH TlT94s/aYvVv+/bf4UfaYvVv+/bf4VQh1GGaJZBeyJlclJLhlZf94FuDyOvrTo72KWISpfOUIJ3f aGHAOCevqMUuRD+sS7F37TF6t/37b/Cj7TF6t/37b/CqUt4sKxs9zNtldY1InYgk9O9Mur82ofLX krRx+YVikYnbnHdh7/lRyIf1iXY0PtMXq3/ftv8ACj7TF6t/37b/AAqhBfCaBZWnuICy7/LmnKsF zjJG7p71ILnLBftUgJztBuG+bgHI+bpg0ciF9Yl2LTXMW08t0/55t/hSLKsWUcOrDHGxvQe1VILs 3VuZop7jYchW85vmA7jnpUd1qqw3oglmucsFJcSMEQEcFueBweenr1FPk6C9vK97Gj9pi9W/79t/ hR9pi9W/79t/hVFtQgTbnUD87BFxcscknGOvqQKkFwCVUXjkt90faWyfpzS5EP6xLsWvtMXq3/ft v8KPtMXq3/ftv8KppdeZdSWy3E5kjVWYec3Rs47+1Vm1fEsCImoSickK6OxUYJBz82exP0o9mh/W JdjV+0xerf8Aftv8KPtMXq3/AH7b/CqZul25W8duDgLcn5sdcfN7VFdaj9li8wPdTgPscQzFih9/ m47e/Io5EL6xLsXpJVlGEDsQrE/I3Tafanm5iz1b/v23+FQeZMjHbPNna4/1rH+E+9U7fV4bgv8A 6TPCFPBmnKhxzyvzc9PqO+KfIJV5XvY0/tMXq3/ftv8ACj7TF6t/37b/AAqkt7E8zRLfOzoAWAuG 4ySB39QRT1n3Bit3IwX7xW4Y4+vNLkQ/rEuxa+0xerf9+2/wo+0xerf9+2/wqil+slrDcpcXBjmK hP3rZJY4HeorbVPtDyq3223ETBS88pVWJ6AHd15HHvR7ND+sS7Gn9pi9W/79t/hR9pi9W/79t/hV RrpVyTdyBVzub7ScLj1+bjrUaXwe9e1E1zvRdxPmttPT39x+f1o5EL6xLsXBKocyEPsLMAdjei+1 P+0xerf9+2/wqjdXzWluHeW5dfNKqqStuJIXA5I9+9JFqEM0auL513KDte5KsuccEFuDyBg96fJc SryXQv8A2mL1b/v23+FH2mL1b/v23+FUo76KWFZkvnMbLuDG4YDHTPX2NLLdiEwh7mb984RMTNyS M+vtS5EP6xLsXPtMXq3/AH7b/Cj7TF6t/wB+2/wrOu9R+yLKSbyUxIHZYpGJAJPPLD0P5U+K9EkI keeeAld5jlnKsgzjJG7ij2aH9Yl2L32mL1b/AL9t/hTJLiIxOAXyVP8Ayzb0+lQLcbn2faZQxJwD cNkgdSBnpzUVveNeWIuYpbpVdSV3ysDjnnrRyIX1iXY6nTxizUHqGb+ZopdPJNmpJySzEn8TRVnM RS/8heH/AHP6NV6s2+8z7fH5O7zdo27Qv+1nrx0pv/E09Zf++Y/8aADWmmYQW6WM9zDK374w7cgA j5TkjAJ6n0B9RWpWX/xNPWX/AL5j/wAaP+Jp6y/98x/40AWNU/48/wDgQrj7jR5JXUzN9oM0q5dI lXYnOd+Tz8pKZAzjGa6Sf7XsH2szeVnnCx+nHQ1QXzNow1z0/uxf41MjpoO19DJfwwHWRTcIFlZi yiLGcurAZBzj5eeec9hxRb+GzbC78qeBftMUkZ22+PvHgn5ucVr/AL3+9c/98xf40fvf71z/AN8x f41N33OjnXZlay0v7IkCl48RO77Io9iAsMcDJwAM/iajm0h50IedDm4eX/V/wt1HX7w7H9Ku/vf7 1z/3zF/jR+9/vXP/AHzF/jS17hzrszCsPDj/AGeCWQxQtsAaF7cfLyMAgHB4B+pINbUVtOmo3FzJ OjxyKqxxiPBQD1OeeSew60/97/euf++Yv8aP3v8Aeuf++Yv8aHd9Q5/Jkd3DJOrxRSrG7FfmZA4x zkEHqCOPxrKPh/zzPF/q8RpGsrxghmyCzKM5xhVUZPbuOuxgYPzXPm7x/DH0wffFL+9/vXP/AHzF /jT1RMZ76Mx5/CyTklp4m6hQ8OQq+ZvxgEDPJ5+n0p7eHXNra23n25S3LkZtzxuxyvzfKRg4PPWt X97/AHrn/vmL/Gj97/euf++Yv8aLvuVzrsyG4sHmtbyJJgsl02d7JkLwABjPPArP1bRnuboTIFkM lwp5hDeXkYZmyeQNoxjkZPWtb97/AHrn/vmL/Gj97/euf++Yv8aSuuoc/kyjYaO+ntI8c0LMVZUJ h+7liRznOOeQMZPNXrG2+x2cVvuU7B/Cu0DnOAOwGcAelH73+9c/98xf40fvf71z/wB8xf40O76h z+TKNzYtdFJWcPBGg3QCIMzfKM7WyMZB2kdCKqweHXMdvKZUilWIFg0IY79+/J5xx049OpHFa4A/ 5Ytc7Nq/wx/3R6ml/e/3rn/vmL/Gm7kwl7q0Zh/8IkqSpJHPCGTlXeEs2ck5zu9/51eXRmF3fXHn RKboOMpFhsNgfMc/NgDjp1NXv3v965/75i/xo/e/3rn/AL5i/wAaLvuVzrsyK5sDPIMShIvszwFQ uW+bHIOe2PSsceHpJL2ckxx/6t/N+zja7biTt+bIAzjB74Pat397/euf++Yv8aP3v965/wC+Yv8A GkrrqHP5MonQ0e1toTcPG1u4cNCAgb5geR3JCjn3NaE54Bx3bj/gLU397/euf++Yv8aTjcPOa524 b+GPrtPoaFe5M5+69GZcujyNcReeftLSThmkWFVCoMk7+eSQQuQOcDPemDwwDHsa5QqW3MBFjPz7 gM5zjr36+3FbH73+9c/98xf40fvf71z/AN8xf407vuVz+TMe38Mm2gu4457dftULRttt8Dkjkjdz 0P51o2em/ZRBl0xCZGCRptQFvQZOABnj3qf97/euf++Yv8aP3v8Aeuf++Yv8aTu+oc67Moz6Q80I WSZG2zSSECPqrNuwOeG4Az7niqWn+HXSG2lkaKNhEgeFrccYGMEZxwM/jz7Vt/vf71z/AN8xf40f vf71z/3zF/jTu+4c/kwhgeO6upmkVlnZWVQuCuFA5OeentVXUoZLiJoopERi4zvj3qwwMqR3B6Va /e/3rn/vmL/Go5Amz5mufM8zssfTaPfFEVqZVp3jsYH9hCYzJzHt8tVkkjB3kY3MvPfCjn+7yDST +GFmB3TRMcYG+HIUby2AM479fX8q3ML/AHrr/vmL/GjC/wB66/75i/xrW7OXmZlPobvZQ2rXCbYF k8vajKFcnKtw3ReeOhq89q7rdHzR5lxGE3FeFwpHTPPJJqfC/wB66/75i/xowv8Aeuv++Yv8aLiu zG1PSJJYhIu2Z1WJdnlBvmUgZ5P3cZOP1qWz0MWszMZo3Vgy8RYIyoGQc8Hr9eBWphf711/3zF/j Rhf711/3zF/jRdhdlaws/sFj5G5W5J+RdqjjHA7cD+dRajYtczNK582FE5gWMF2+XBCsSPvZAIPH FXWC7Tlrvp/di/xqSURea3ltdbeOix/3R6mgLmHFoDDyJTMiSrGhb90CS4fexPb24/HNRxeF1hni ljmhDRbcMYSW4YnqWz3/AJ1u4X+9df8AfMX+NGF/vXX/AHzF/jRdj5mUYtNkiv5LwTr5kpk3naeQ cbBjdgbcDtzUosiv2NUkAS2UqwK5LApt4OePXvVnC/3rr/vmL/GjC/3rr/vmL/GgVzn38PO9yYsx 7Tb4MxgG0noF656DJ9cnpWpBp3lW/ktIpBmEjER43AHOD6nI6+lXML/euv8AvmL/ABowv966/wC+ Yv8AGi7C7Fb35+V//QTWM2kP9qg88i4Zpt7yiJVXaBzuGfvMQvIHO0VsqIct5jXWNj4+WP8Aun0N Jhf711/3zF/jQCdjFTw2BGiPcIwBVmAiwGIZj65xhu5PPXPSltPDz2dtcQxXEKefGEJSAqO2T970 yPxrZwv966/75i/xowv966/75i/xoux3ZUt9O8hUjEmYYrhpY0wcgEHCkkknBJOaZcaY9wsytOg8 yfzFzHnaCmwg88nHIPY44q9hf711/wB8xf40YX+9df8AfMX+NFxXZgWnh92iSQ+XAQX/AHUkAOBv yAcHB6c+ox6VrxWbR6hJc+blXjCBNuMYx+g5xx/EasYX+9df98xf40YX+9df98xf40XYNtkF7byX NuYo5EQmQ7vMj3qwwuVI9DWYuhiZpc5j2yxgPJGCXCj5mHP8R9fTpW5iHyhhrrfvbPyx+i++PSm4 X+9df98xf40XBNowpvC6zLh5oWOFX54cgAZwAN2O4/X8LEmiSSW0MJuUH2eNhEQjAK5bIbAbkADG DWrhf711/wB8xf40YX+9df8AfMX+NF2F2V5rNpYr0CQCS6TaGK5CfLtHGee5/Gs/VNJkndZl2ytv iwvkhsEFcscnlQFzjrya2ML/AHrr/vmL/GjC/wB66/75i/xouCbRm2GjmwmMizRvwwXMXIz05z7n OOvFXIoWgtHV3Du293YDALHJOB2FTYX+9df98xf40jhPLbLXeMHPyxf40Be50unf8eS/Vv50Uthj 7INucbmxn0yaKQiKX/kLw/7n9Gq9WfdSrDqcUj5CqvJCk4+96VL/AGnaf89G/wC/bf4UAVtdmntr eGeGeaILMoby0VlwSOXyM7AM5xg9K1KzLqbTrx4jNLMVibdsAcKx/wBoAYbp3qx/adp/z0b/AL9t /hQAmqf8ef8AwIVwyahdQzzyWk4ugXCFZCxVGLMFG3+E7gBxwVwR79le3kNzB5UJd3J4Hlt/hWTI IJvJaQTfumDgBHAJxxkY5x71MjpoNK92YjeIb1ZZXEdu6rvRIlJwxDqpYseMAE5/LrxSjX5ry31K KXyIPLt5WjeGc7ht45OBg/St/wA+P0k/79N/hR58f92T/v03+FRfyOrmj3MrTbiWa3to1mLBrhzu WYyjYozgOeWGSOfw7VDDdNpySGG4kui120J+0Ts+NvRR6Mc//Wrb8+P0k/79N/hR58fpJ/36b/Ci /kLmj3MCLxJcS7Mx2qSMvB8xyi8rkEYycZxn1I/HYt5d2qX8XnF/L8ohCfuZU9vfGafbCC0to7eI TbI12ruR2OPqRzUnnx+kn/fpv8KH5IfNHuVNVkEVpKxn8gZQeZyAM5HJHIHYkdOtZS6zf2dmeIpU jhWRZJixZgxAX5hgNzu6YyAMcmt7eNxk2SbNwGfLbrg+1NjEEc8swExeXG7cjkADoAMcD2HrT6bE RkrvUw28RXsEZUxW0rru3O7lFDeaVC46nAxn3I5FMvdWkurWwuBMsMz+aCkd0yKWG3GB/GeeFPXN dH58fpJ/36b/AAo8+P8Auv8A9+m/wov5F80e5maqzPZajM11NBHAyhGjlMeCo55HbLfpUN5rE+my vaxiJ0hZY988jFgMD5mPfOeOnQ81s+fH6Sf9+m/wqOcQXBiMgm/dSCRdqOORnGcDkc9KS80HNHuZ 1lrM9yZtkCN5Ubv5KuWkZgxAA7Y4wffpVvRJZptKie4Mpl3OGMq7WJDkdO1WvPj9JP8Av03+FHnx +kn/AH6b/Ck/QOaPcxr+aVL61jt7llm2oUg3FQ5wMezDjBHUDkd8wvr963kg/ZoRIBIX2sSE8wKc jt3/ADGOa2+BE0UgmQsg5VGBGUHQgcGlhaCCFIY1kCRqFUGNzwPwqn6EQkuVamD/AMJTcieMSWtt GhJ3hpjvC7mHToD8vfvnpU1vetFqupETmRYfOJT7QXwRtwCh4TkkDHXn0rb8+P0k/wC/Tf4UefH6 Sf8Afpv8KV/Irmj3MqZGtb6CR7q5kmjs3lMInIWRk2j7vQ5yarN4jmDlJI7YoNnzxysN4Lkbx/s8 ccnORW958fpJ/wB+m/wqNBBHcSzqJt8oUNlHI+XOMDGB1o9UPmj3M9r17i2sZ3nSOWS4AEcUhG5d wBG0/eIHBHQcnsK1Zui/U/8AoLUnnx+kn/fpv8Ka7+bhUSRj8xx5bf3T7ULcmco8r1MGHULuOaRr S4F2skqx5lLkIxLADb1U56jpgKRjNC+I7wu0gjgdW+WOJSR/y02lix46YH1x34rclEE0sUjibMLb lARwCcYyRjn2z0qTz4/ST/v03+FO/kPmj3Oe/t+a90/UVk8iAxwM8bwTnIwQOWwMdRyKvafNLPFa xLKxVpZWLLKZBsXIADnlhlhz7Vp+fH/df/v03+FHnx+kn/fpv8KV/IfNHuYkF22nQ/uJ3uvMupIv 9InZ/uttCqezHOf+AnimW/iOe4MQ2WqySKpB8xygyeRjGf8AZz/erdM0bKVIkwRjiJv8KbAYLa3j gjEuyJQi7o3JwOnJHNHyDmj3K9pPFJrF9FFdNJ5QXfGz7tjc9B/CMYGO9Q65II7RyZ/IBkUbySo5 xwSOVB7kdK0fPj9JP+/Tf4VDMS37wRyFd+M+U390e1OO5jWkuTRnOLrF9a2wBSORY0jIebdvYNja SRwx+9wOuBj0preIbyCHaYreV1XmR3KAt5hXGOpwAPx71uxxJFJLIqTlpWBYsjnoMADjge1Sbv8A pnL/AN+W/wAK1ujkuuxi3GtStYWs8YQSEtNMqSDAjjOG5OMjke9W7xvPW9IuJI4YbcENG5T5sF85 HsF/A1f3D/nnJ/35b/Cjd/sS/wDfpv8ACi4rmHJqkunwxwxFJlEKP5lxKxbDEZcnnKjOPy5qfTtY ku7sRFIUGWLguSThQePTrkg9iPx0biKO5i8qRJ9uQflR1PBBHIHqBUm//pnJ/wB+W/wouguipppL WDZmacb32zFs+YM/eHt2wOOKqapPKmqxpbXB84IpW33EBztOMjowOOe4wD351Wb5SBHL0/55N/hR cRlhJDIk67lAJRHBGVHQgcUXC+phHXLtpIFxbxo+yQsFYnyzIFGR2JH8+OlNi8SXLXECS29tGj43 gzZdcsR06dvX1rejCxRrGkUgVFCgeU3AH4U7cP8AnnJ/35b/AAouh3XYzbfUi2sXEcjD7MQyxHcD lo/v8Zz3PbsKjKM8umPNdXKyyhmMaTFQ5AL4wOD2H0Fa24f885P+/Lf4Ubv9iX/v03+FFxXOfk8R XAQ7orbaYmfIkZc8cgHtt6E+oPSp7rUJZrFZvOEP+lbF8okEAdm9W74HB4FavlR/ajc7J95j8v8A 1b7cZz0xjOe9Sbv9iX/v03+FF0O6Fb7x4/hf/wBBNc/a390kh+zTi7SaZU3ylyFY9OOqnGcjoMDH BxW/hnJCxykhHP8Aqm/un2qOSKOSeOVkn3RElQEcLkjGSMcn09KEJMw4vEF27CTy4HWQoEjUkAAu wLbjwegHHU9PSpbPxE81rdTXCW6GKPfH5cuQc4ABz7kc1t7v9iX/AL9N/hRuH/POT/vy3+FF0O67 GbaXU0tnbQSOftKXHkz/ADAn5PmbJBPUAd+9VxOdON3LHcSTlbjyiLiZnVfkDYA7Enge5FbW7/Yl /wC/Tf4Ub8f8s5P+/Lf4UXFcwB4hnY4aO2jfLgZkbahDAfMMDOOp9MjFakSMdWkk82UjyFLIXJQM TxgdBwv15qe3ijtYFhjScqpJG9HY8nJ5I96k3/7Ev/fpv8KGwbXQpavII7Ak3H2fM2A+4qOi8Fhy oPr2+lZ66xfW8Sq0cbBPKQNKG3tv+6TjqcA5A7/lW7htgcxy7S7D/VN6L7VHFEkLyuqTlpX3sWRz zjHGRwB6UXBMwD4ivIbZQY7aVwi5ldygZiWzgde2PqDzVq51p/s9nOmwYzPcBZBgRq21uuMjJ+vA rZ3f9M5f+/Lf4Ubh/wA85P8Avy3+FF0O67GdqLNJBqLfaJYo7eIbWjkKfMFLE5H1Wq1xqkunEW0R jkRFT95cSMWAYr87HuvzY/4Cea2t3+xL/wB+m/wqOeKO4RUkSfCurjajqcg5HQdM9qLiTMu01ma4 MoSKIMiSOYy7MxYDIA9O2R7jHvb0yV59I3yOJGw4MgYsrnnkE9vSru7/AGJf+/Tf4U2RsxMBHL90 gDym/wAKAbOm07/jyX6t/Oil08EWag8EM38zRSEQXMay6nFG+drJyAxGfvelT/2fbf3X/wC/rf41 FL/yF4f9z+jVeoAoXMWnWaI9wzIJJFiTMj/MzHAHX1NTf2fbf3X/AO/rf41R1zTr29ltZbWeMLBK jGJ4t2fnUlgdwwQoPr1PrWvQBm31rFb2/mRb1cHAPmN/jXLw6tbyO6PPNCI8jzJZiqvjIODu6jBy Dzjnoa67VP8AjzP+8K4WfSZJHUyubgyyrl1jVdiAkndz83ykqDjOMU0NGn9utjMYRffOqlmH2g8A EDnnjkj86kSVZHZEuWZlOGCzsSv154rHfw4rrIrXC7ZGYsoiwOWDAdc4GPXnPYcU610B7Nrh4LmK Npo3TKW+MFjkHrzijQehoLfxPZfbFmnaLOOJWzndt9fWmJqQa5nhkW7gWD7000u1OvHO7v1GcUy2 0pbaMwpIBAJklWMAnGAMjJJJyQD+lLc6fJcNcnz0HmtGyAx5ClRjnn5s/hRoLQstcRqSPtLfKfn/ ANIPycE8/Nx0pv2sfaY4Q1wRKu5JRKxRuM4Bz6c+lYsHh5m3tuEAWVwivCCSvOCSDznOfpxWstpM t7DN56eTFD5YiEWOT1IOeOg4x2o0HoTXN2bW1eR5ZiiuvAlOSSCOpPHOOpxUUOo20sQc3bxHBLRy 3BV0x13Atx/9cU+6iknt3jilETl1+YoGHQ5BB6gjj8ayToXnefFny8RoiytGCGbILMozkDAVRk9u 4oVhKxrR3tvLH5iXpKfNybhh907T39eKWa7ighSV7iQo7qisszEEk4Hesmfw0kxJaaNuoXfDkKPM 34xkDuef/wBVSHQd1jFZvOhii8wqBGVG5hhTw38PPHfNGg9DQubv7OWX/SpXWMybI5GJIyB3Yev6 Gkt75J7dJWkmty67xHNOVbb/AHsbjx0596VbZ8yO8u+WSFY923AGAece5JNZmo6PJJYjBE7xwxx7 BEDuZeARk4xySR7DmgSsawuIywX7S2WPyf6Qfn4zxzzxSW1z9qjZgbmMqxRleRgQR9D7iqNnov2O 78/zo3GSceSByQBkHPByOvpxVyztmto3DujvJIZGKJsXJ9Bk/Xr1JoAZdamtvcxRTPcEuiEuJDtQ bVGW56Z6nt36059QtI0DNqAwWCjFyTkkgevqR+dQ3tk1zIkrPvhjjUtAIwWc7BnaxIwSDtPYiqcO gsY4JTMIpViG4GIMd+/fk84OOn9SOKNB6Gv58e4L9rO5iQB9oOSRwQOaRbhWuntRNN5qIHI81uhJ Hr7fqKxf+EWRZEeOeIFOQzQbmzknOd3vWgmmumptfidfMZ3LfIeUIAVfvY4IBzjnFGgtBZdU8t4V SG+mEzsitG5wCCQc5Yf3SfoKsm5ixxdljkgAXJ5I6gfN14qFbIxpZIkoC2rZbK5L/KR68dc96yZP DzPdCPcpQwMpmMII/hCr1zn5cnseemaNB6GzPfQ21rNcPcSFIBmQJMzEH0wD15HHvVhXkVlKyygk N/y1b+43vWWdEWTT5LSS4cF2LCSIbGBwRz/e6nr7elaQG0IOu1WHPf5GoEU4dWtpWkDTzQBDw005 VX5IODu7YOR1HGanF7btM0IvSXUbmAuDxzt559eKzZNJkaeIzMbhnmDNII1UKgyTu55JBC5A6AZp o8NqY9j3KlS25lEWAfm3DvnHXv19uKeg9DYSVJCwS6Ztv3ts7Hb9eeKiS+jksku0lnMchAX962SS 20d/Ws218PvZx3Kw3MSNcRNGSlvjGSOfvc9D+dXLfTFt1ESSYhS486OMA/Lx93JJJ+bnP4UtBaDo dSEk08ci3dssBw0k8u1CeMYO7vkEZxU7XMak5umwud5+0HCYGefm4qrc6a9wLgeei+bKrrmPIXCb SDzzxz2wazrfw+zLv3LBtkk2o8Ck7dxIzg85zk+o4o0Hoba3Aa5MCyzlhGJN3mNtIJIGDnnpTpLo Wtu7yvO6CQAKspySQAOSQB17nFRJbMl5529dggWIIExjBJzn8emKlkgkuYXiilWNi4yWjDqwwMqV PUHoallU9ZofDfWU0SyfajESu4pLcFXTpwwLcHkdfUU6K6s5oRMl5mMgncbgjgHBPX1BFZY0DzjP GS0QXykWR0B3lcbmUZ4zhRz/AHehFJP4VSfJaeNjjaN8GQq7ywAGcd+vX+VRp3O/lXY0bq+htZIl K3MqSKX8yOUlUUEAk/Nn+IdM0l5fR2aynybycxOqOIpDwSMjqw9vzFVT4fZorOIzwlbXeAfs/I3M GynzfKRjGeauz2DS2lxEkwR55fMLlMgcg4xkdlA/Wlddw5F2JFmtymXnaJgF3JJcEMhIyAw3cGhp 7ZEdpLhk2KXYGc5Cg4zgHpxWXqWiPPerKmH82fOfKU+UCrbiSTz1AGORnvUsGgLDbTwNNGyzIVH7 gDb82R35HTI78n6GncOVdjQiKz2yzAzKHTcAZmyM/RiKrT6lDDdLDO1wWcKWkEhCIMdW+bgcHnGB 36irVtB9lskg3biinJAwCepwOw5qjeWDXLec7GWGNP8Aj2WMFmO0ghWJGNwOCDwcCmmS4rmWn9aF l7yxTZm+X53CKBck5JIXHX1IFSiS2LKouss/3R9oOW7cc81lQ+HmHkTG4WOVY03fugxLh97Enueo /wAaii8KJBPFLFNCpi27SYMtwxP3i2e/86NO5XKuxowX0M008bJdReTvO55DhwhwxGGJ446460i6 gjXiW/2e9AeMSecZPkC4zkndnvjp1qKPRCs19I00Y+17wTHDtbDNk7jk7iBwDxjJq1d2DXU0jecE je3aHbsyQSQc5z7dMfjSuu4ci7Eglt227LgyFgCAtwSSCQAfvdORUMl5CklusYuJ0uG2CWKYsinO OTu+vTPQ1lL4deS8nLMkYDxuJPIGJG4LEYOQB0APTjrWvb2HkxWqGRSLYk4WMKGJBAOPxP40Xt1D lXYmkBjGUklBIYf61v7p96qW+qWVwX3SywBT8pmmKhxnGV+bn37jocGrk/3R/wAC/wDQTWS2jyfa oPPY3LNNvklESqoVR0YZ5ZiF5A52j05aempPKuZ6GilzZyTPCl3udANwFwTjJKjv1yCMU24ureC1 luEkluBFjcsM5Zsk4x97H51mp4YURJG9yrqpVivlYBIZiO+cYY8EnnrnpSW/hk21nc26XEAFxGEb FtheCOSN3PQjHvRp3K5V2NJbuJoo323IeRnUR+YxYMoO4cNj+Ejg02yvoruLe6XNrlyircS7S5Gc 4wxzjB/KnWeni18gl1Pkq4Com1QWYE4GTgDGAKq3OjvJZhHlWUoZWKiP74Zt+0ZPByAM+mfWlfzD lXYvedbcH7SdhwA/2k4JJxgfN1yKbbXEV1NPEn2gGFtpLSNg8kcc+oPXB/AisvT/AA88Qt5nkjVg ke+I268EA8cHHAP4HmtW1s2tri5laYyee+/GMY+vPJ6DtwB9aG/MOVdhl3dLZxlpDO6CTaqJIckk Ljkkfqf50sV7ZSxK/wBr2ZUEpJcFWTOOGBbg5IGPWkvLeS6VoopVjJYk74xIrDC5Ur3BrOXQRM0o JaILLHteRFZnCj5mHPG4+vpyKd/MiMV2NOO6s5rdZ0vP3TKGDG4IGCcZ6+x/Ko7i+htriKIpcusi 7vNSUlFG4Lk/NnqR0B61mzeFEmX57iJmwq5eDIAGcADOB1Hv19eLH9gsWs908JW1UgfuPmGXDfKd 3yngDvxRddy+VdizeX8doHIgvbjZIImELngkAjqw/vAfjVhZbcj5rgo2VDK1wQykjIBGeD7VHJYs 1q8STBXe4EzOUz/GGxjPoAKzb7Q2mv45FIZZJmJbylPlKVfOSTySWwCOnFJPzDlXY05Li3igllaW T91GZHRZizBRnnAPtTxiS084GZC0e4K0rZHGexIqnYaTNp0UghuIfNZQEf7Pwp+mckYA4z1yaupA ttYCBCSsce0E9elJvzDkXY3dPJNmpJySzfzNFJp3/Hkv1b+ZorY8wr33mfb4/J3CXaNu3b/tZ68d KbjVP70v/kKppf8AkLw/7n9Gq9QBl41T+9L/AOQqMap/el/8hUa293CkE8UpjtYn3XJRsOV4xjKk Eeo446GtSgDGnF3sH2szGLPOPL9D6VkqF2jBu+n/AEyro9U/48z/ALwrz1L65hnnktJvtOXCMJd5 CEswUbc/Kd2BxwVwQPVpXGlc6DC+t3/5Cowvrdf+Qq59tdvVklcJA4XciRgEAkOoLFs4wAT6enWp 7LxA8kt19qS3SOFHkUxuScKcEHIosx8rNnC+t3/5Cowvrd/+QqybS6uZdONvMxW7E6xOQwYqGw2c j/ZJ/Kmyyixu9QniuHZkaMFZ5maOMPySVzwPTGOtFhWNjC+t1/5Cowvrd/8AkKsA+ILjzCJIIEZX YBd7ZQgNw3TPTJ9BWlGjSanBMZXLfZt0iq7eUScAYU/8CPPPSiwWsXwIvKPN1v8AMH/PP+6fwpuF 9bv/AMhVV1NxHp8zNMYRvQb+eM5HOOQPUjoOayV1a+tLQ8RyJHCrq825mYMQB82QG53emQB60JXB K50GF9br/wAhUYX1u/8AyFXPtr19AhUx28jLuy7koA3mlQMdTgY/EjmpJtZnl0u3liEYuGZndUcA bI/mbk9un50WY+Vm5hfW7/8AIVGF9bv/AMhVRnZbwz7ZpEt1tQwaNypy3zA5HThR+dZ51OXT7GBY Cs4Nss26eRmY7uS2eTtHT/gQosKxvYX1uv8AyFRhfW7/APIVZFjq811eCLZCMk7sFiXwgI2+h5z9 PerOiTy3NgZZmDSFyWZWJGSASBnpjO3HqDRYGjQcQ7v3Zutu1P8Ann/dHrTcL63X/kKsnU5ZF1G2 SC4YTbEKQ7mAc4GOnDDjkdQORjnNZtbvmEQP2eISASF9jEhPMC8jPHf8/Wiw7G/hfW7/APIVGF9b v/yFXPf8JJdCaMSW1tGhJ3q0h3gbmH0B4/PPSr8WoMdekhZh9mO6FDuH+sQbm469CfyFFmKzNLC+ t3/5Cowvrd/+QqyXj886ZJPc3Ebzyt8qTMmQQzgYHX+EfSq0niG5Gcw2+0o7feZTkAZX2K55P+ye B2LDsb+F9bv/AMhU5PJ3jzDdbdrf88/7p9KyP7QefT2naVIlW4iVdhIIG9RhieuR6djWsR8wH+9/ 6A1AhML63f8A5Cowvrd/+Qq5+G9uo5ZGtJvtIklWMmbewRiWA+XPynPUDjG0jGaF169LtII4XVvl SMZA/wBZtLFuh4wPr+VFh8rOgwvrd/8AkKjC+t1/5CrEsvELyrdvcrbqsETSJ5bk5xgYOfcip7S5 uJLCO3lYi6S4EMuGBI/iJyP9n3osKxqYX1u//IVGF9bv/wAhVivN/Z8t/NFcPIySqhE8zOiblDdM 8c8DGOoqI+ILjeQ8VvG4Z1GXbCEEj5hxnAG4+x49aLDsb+F9bv8A8hVLEE8s7DdeZvOc+X02j8Ky vtF02t2sTJKsJgYllX927YBJz146AH1qxfyLHYyFp/IBkUb8sBzt4JXlQe5HTrSZUF7yNDEn965/ 8hUYk/vXP/kKsFdY1C0tsFI3WNIyrTBi7B8BSSD8x+/wMZ4x6U1vEV/bwbTHbSuq4MshKAt5hXAH U4Ax9e9Z2Z2ci7s6DEnrc/8AkKjEvrc/+Qq5+81N7ldOnWZYppFkGyO4ZQWDqPlUffPXAPrV7VP3 tnezyXM0McdwqxmOVo+AQp5GOCS1Fg5PNmliT+9c/wDkKjEnrc/+Qqx7vWriwne2jWFkhcRbpWYu BtON3qWxx0/GpbLVDfRzrM8VvAkTFiJW3KdxGd/Zeo9QQcexZj5PNmkwk2nm56f9MqUj5j5JudnH /PP0HrUWmu8mkW7yMWYxcknOfx7j0PcYrN1CaZdThS2uG+0BAUgJYKx2nGQOGHHI6jAIPYi1JcPe WrNfEn965/8AIVGJPW5/8hVhnXb15IAfIjR9krMI2LeW0oUAjPBI/PPHSmw+Jrxrm3Sa3tYkfHmD zSXGWYfTjH8+lFn2K5PNm9iX1uf/ACFRiX1uf/IVYlrePHeaoY5jJ5fnYUTtIQ2/CgqeE64AHX8K nuU+x6kZBc3Ek0NkZfKM7bGK4XJXOMdT9aBcnmzUxJ63P/kKjEnrc/8AkKsM+IrjzdjxW7IDHgxu wLgsBuHsew56jJ9bJvxKNLea6RLi4l+RYmZUZc88HqcYXnuciiz7D5PNmkQOfONzt2tj/V9dp9KX Evrc/wDkKnTdB/wL/wBBNc/aX92khNpOLpJ5ljLTb2CseRxnKHG7cOnC4wDihaonk956s3sSetz/ AOQqMSetz/5CrBh8Q3rsJfLhcSFAkYyAoLuC27v0A9z0Hamf29Nf6TfeeYIWSNXjeCdl43L1bqOo 5FFn2HyLuzocSetz/wCQqMSetz/5CrPsXkuYrSESvsImZmSQtlQSq4c8sPmyCeuM1Vt7x9Ps4zbS Nc+dLKP9ImZySr7Qqkk4OOT14U8UByebNrEnrc/+QqMSetz/AOQqxLXxBcXMkK7bZXlEfzbnK4JO cDrnjaD69fStSzbdqF8VmaZN687srGQMFAOmRjJ/3uaHddB8nmyYAY4Nz5u5s/6vphfw9KXEnrc/ +QqpaxIsdqxa4+zgygb9zKOi8Fl5Ue/b6VQXWNRtolRkjYJ5SAyq29t/3ScH5mwDkDv+VPciMPNm 5iT+9c/+QqMSetz/AOQq50+JL+G2UeXbSuqLmWRigZiWzgDntj6g81Jc6i9zdadMkwjkkjOY0uGA JEoU7U6P/Fwe30pWZXIu7N7Enrc/+QqMSf3rn/yFWZqAE9pNPLczwp9sVIzHM0fy7lQ8jH+0fxqK 41y5tLk26RwukcvlZctuGA2AfVm2gjp94daB8nmzYxJ63P8A5Cpsgfy23G5xtOf9VWRHqst5pl02 6ONI4QRsdt2SeSX7KeRngjBPbjWtmL6VGxd3JgB3OOTx3pPQOTzZ0Gn4+yDbnG5sZ9Mmik07/jyX 6t/M0VqecQ3UixanFI+7aqclVLY+96VN/aVr/ek/78v/AIVDdRrNqcUbglWTkAkZ+96VN/Z1p/zz P/fbf40AV7mXT7t4mmaciJtwQLIFY/7QAw3TvVj+0rX+9J/35f8AwqG5hsLQJ5kUjNI4REQuzE/Q HoOpPapv7OtP+eZ/77b/ABoAr3t1Fc2/lQiRnJ4HlMP6Vz7wibyTJDcHymDqBHIBnHcY5/GugvrS G3t/MhVkcHAIdv8AGueh1OxeSSORpIBHkeZNNtV8Zzg7uowSQcHHPQ0m7GkKbnsTZb/nlP8A9+X/ AMKMt/zym/78v/hTvtWnmdoBdqZFUsw88/KAQOeeOSPzomuLWKC4lWRpjboWeOObLDA6Y3cH60uY 1+ry7jct/wA8pv8Avy/+FGW/55Tf9+X/AMKIbqGWJHaOeNmm8ny2kJIbr2YjpzwaZZ30NyHMsFxZ 7ZBGPtEoG9vQYY8+1HMH1d9xIYRbqyxxXGHdnO6OQ8k5PUfpUmW/55Tf9+X/AMKeZ7IKXNyvljOZ PtHyg5Awfm9xSQzwTXk1qqzBoerFzg/TnP54z2zRzB9Xl3GhZNhfyZsbwP8AVN/dPtUaQiOaWZYr jfLjcTHIenQDjgewqa6mSzhd3MpjVlO0SEZJBHUkAficUyG+sJYg7XHkNglo5p9rpjruGeO35ijm EqDfUXLf88p/+/L/AOFGW/55Tf8Afl/8KdHc2EsXmpdLsG75jOQPlbae/TPFRXd9b2nksI5p45VZ vMilyqquMnlhnr2zRzD+ry7j8t/zym/78v8A4VHcQLdQNBLFcbHxnbHIp4OeoHtTr28is0mYQXM5 g27xE/TOTnlh6fqKlWe18vdNIYGChnjlnw0eegb5uO9HMH1eXcaS5P8Aqpv+/L/4UmW/55Tf9+X/ AMKl8y2yymUh1Vm2ecS20HBOAelJaNHeWkVyqSosqhgryHIB9cE0uZB9Xl3IpIn2NE8Vwu5FBKxu CPkA4IHBpIo/IhSKOGcIihVHkueB+FNm1CG3niinE7F1UmQSHai4UZPI49SOnfrUj3umxoGa9jwz BRi4JySQPX1YfnTchKg2r3Fy3/PKf/vy/wDhSZb/AJ5Tf9+X/wAKl8y0Dqn2ldzEhV885JBwQOfW oIbyGa7mtzDcR+UWG9pOH24zjDE9x1Ao5h/V33HZb/nlN/35f/CozCDci58q48wIYx+7kxgnPTGO o60i38b3UEK2d5smjEgm3/IFwDk/NnjIzx3qyJrRgDHcLIWAZQtxnIJxkc9OaOYPq8u5Hlv+eU3/ AH5f/CgLI7ALDMThv+WTD+BvalkuLdBG6eZNG8nlmSKUsqHO3k59SBgc/lU8ieXgozg/MP8AWN/d PvRzCdBpXuU5IRNJFI8VwTE25QI5AM4xkjHP41Llv+eU/wD35f8AwqGHU7CVpFkd7dUJAeebar4J Bwd3bHIPI4z1qdbqwadoFu1MiDLATn5fm2889c8Yo5h/V5dxuW/55Tf9+X/woy3/ADym/wC/L/4U s9zaw2s86O0/kDLpFNlvp97j8aSO5hkiRjHOrvI0XlmQkhgCSOGx2PQ0cwfV33Fy3/PKb/vy/wDh UUEIto/LjiuNu5m+aORjknJ5I9TS2d7DdIWlhuLP955ai4lALtzkDDHJ4PFTefZ43faF8v8Av/aP lznGPvdc0cwfV5dxmW/55Tf9+X/wqSDcmZGimCl8Z8pv7o9qSKSOS6mt/LnRogDlnOGBzyOfUHri otQuFsoC7GUoJAAqyEZJAA5JAH4nFF76CdOVP3ixEsUMssqpcb5mDOWjkPQYAGRwPYVL5w/uTf8A fl/8KyotQtJYg5uvKJXLRyzlXTpwwzweR+Yp0d7aSwiZbweWQTuM5HAOM9fUEUuQf1iXY0vOH9yb /vy/+FHnD+5N/wB+X/wrPluYYUidpnKyuqIVlYgk9O/SmXV2LYSAJczNHH5hWOQ5xnHdh6E/hRyI PrEuxflWKZ4mdLjML70xHIOcEc4HPBPBqTzh/cm/78v/AIVmQ3kMkCySyPbsybzHNPhlXOMn5unv 71Is0TuqCc7nJCDzyS+ADxzzwaOQPrEuxeaUFT8k3T/ni/8AhTHXMMkEqXC7xg7EcEAqOhA4/CqV vcxXkMskMkpVHaPJkYZK9cc9KZd6lHBfCGZp8sFLSeYQqDHVueBwcnoOM9RT5Be3k3expxukUaxp HKqoAqjyX4A/CnecP7k3/fl/8Ky2v7JNmb5SXcIoFwSSSduOvqQKkE9uXVBdAs/3V+0HLduOeaXI h/WJdi/5w/uTf9+X/wAKPOH9yb/vy/8AhVBJo5LqS2WSTzI1VmHmN0PTv7frVZtSHm26R215KtwS FkR+BgkHOWz2z9KORB9Yl2NSNYop5plS43zEF8xyEcDAwMccelSecP7k3/fl/wDCs83Vvtyt0GyC QBcfex1xz2waR7qFACJZJMzLCfLlZtrE4weeOtHIH1iXYvyEyjCRSkhWP+qYfwn2psixSzxTOlwW hJKDy5MZIxkjGCcevSoQWUnbJICUcf6xv7p96owataTl90sluFPymabaHGcZHzfmOoyM0+QSryve xs+cP7k3/fl/8KTzh/cm/wC/L/4VmpeWkkzwpdhnQDcBOeMkqB165BGKkSaGRWaO53hPvFZydv1w aXIh/WJdi95w/uTf9+X/AMKSR0ljeNkn2upU4icHB98VnJdxSWkNyrzFJioT942cscDvUVvqKzPK JYrm1WJgm+eXCsxxgDDHnkcH1o5A+sS7GrEUghSFEn2RqFXMTk4AwOSOad5w/uTf9+X/AMKz2ubd QSbobVzvb7RwmMZzz70LcRvdtbJJIzogdyJT8ueg65560ciD6xLsXgxDmQxzbSzAHym9F9qbCsUD yuiXG6Z97lo5G5xjuOBx06VSu7v7JbB3Mzr5pVVWQ5JITHJI/U/zpsV/Zyxq32wRkgEpJcFWTOOG GeDkgfWnyCVeS6Gp5w/uTf8Afl/8KTzh/cm/78v/AIVmx3tpLAs63g8tlDBmnI4Jxnr7H8qdLcRR eTulkPnuEQiViCSM+vSlyIf1iXY0POH9yb/vy/8AhUcixSywyulxuhYsmI5AMkEcjHPBPWs+7vVt VlIjuZjCgdljkOcHPqw9CadHdwtEHlle3bZvaOafDIM4yfm/WnyB9Yl2NLzh/cm/78v/AIU2SUGJ wI5iSp/5Yv6fSqJuI+VErs+GKxrOSz464GabBcfarIzhbiI/MNrynIIJHZiOopciD6xLsdZp4Is1 BGCGbI/E0Uaec2ak9SzfzNFWcxFL/wAheH/c/o1Xqzb7zDfx+Tv83aNu0r/tZ68dKbt1T+9L/wB9 Rf8AxNADNasLm5vLK4tg5eEsFKvtEbMV+dhn5gArDHP3ula9Ze3VP70v/fUX/wATRt1T+9L/AN9R f/E0AWNU/wCPP/gQrkZ9HkkdTJI1wZZVy4RV8tASTu5+b5SUHGcYropxdhAbszGLPIDR+nsKoKJN o/4+en96L/CpkdNB2voZb+GUkSRGuflkZiyCLA5dWA65wNvrznsOKIPDf2cXXl3ES/aYpIzttgMb jnPB5xWriT1uf++ov8KMSetz/wB9Rf4VN33Ojn8mV7LSxaLCDIh8p3fbHHsTLDHC5OABnj1Oajm0 gzKwe4BzcPLxH/C3VevX/a/SrmJf+nn/AL6i/wAKMS/9PP8A31F/hS17hz+TMSw8OuIIJZHSCQIA 0Rt1O3BGAcHB4B/E5rYgs2hv7i6MxYT4+THTHqe/t0xk9afiT1uf++ov8KMS/wDTz/31F/hQ7vqH P5Mju4ZJ1aKKbyXJXD7Qw7kgg9Qeh+tZf9ged58OTEBHHGsrICGYEFmUA5HAVRk8Y7gVr4GCP9J8 3eOd0fTB9sUuJPW5/wC+ov8ACnqiYz30Zkz+F452LNOjHkLvgDBR5m/AGcdzz/8AqpzeHS1rbW5u IiluXIzbA43Y+783ykYOD71qYk9bn/vqL/CjEv8A08/99Rf4UXfcrn8mRXFg01reRLNse6bdvKZ2 8AAYzzwKoapoz3Nys0ZDmSdW/wBUp8rIAZjk8j5RjHIyetamJf8Ap5/76i/woxJ63P8A31F/hSV1 1Dn8mUrDR208yNDcIWZWCZgHyEkkd+nPI4z1q/awC2t1i3biMlmxjJJJJx25JpuJPW5/76i/woxL 63P/AH1F/hQ1fqHP5MpXFi1yUlaQvDGik24jBLkKPusSMEg7T2IqtD4fcx28rT+TMsQ3Axhjv378 k5wcdP644rVAB/1P2kJtX+KP+6PUUuJPW5/76i/wpu/cmEvdWjMX/hE4kkV4riNSnIY2+5s5JznP v+n4C6NGP2q9nM6A3YcZSEKwDY+8c/NgDjpjJq7iT1uf++ov8KMS/wDTz/31F/hRd9yufyZFc2H2 iT/W7Ivs7wFAuT82Oc57Y9Kyf+Eeklvbgs6pny383yFxI+WJwM5AGcYPsR0rbxL/ANPP/fUX+FGJ PW5/76i/wpK66hz+TKq6ZMkNpDHdIqW8u9x5A/eY6Drwcd+cnmrk/wB0cf3v/QWpuJPW5/76i/wp MAMPO+0lcN/FH12n0FCWpM5+69GZsmjyG4iMrtcs86s8ojVdqLkkNz8xOQuQOgGelMHhhDH5b3W5 d25l8rAPzbh3zgDPGevtxWtiX/p5/wC+ov8ACjEnrc/99Rf4U9e5XP5MyYPDP2eG6jS5iH2mFozt tgByRyRnnoePer9npotRDl1PlGQhY49iAsR0GeABkY96nxJ/08/99Rf4UYl/6ef++ov8KTu+oc/k ylPpDTQhXnD4lkkIEf3lZt20c8HgDP14qnp/h10itpZJEjdYkDxG3XjAxjg44GR9efatnEv/AE8/ 99Rf4UYk9bn/AL6i/wAKevcOfyY2K1ZL6e6eRWMoVQqptwBnGTn5jz144qDUYZLiMxxSiJi4OSgc EYGQQeoPQ1ZxJ63P/fUX+FRyBNmGF15nmdmj6bR7YoitTKtK8djCGhiUzRktEF8tUkZQd23G5lGe M4Uc/wB3oRSTeGY5slp0ZsYBeENtG8sABnHfr1/lW1hf+nr/AL6i/wAKML/09f8AfUX+Fa3ZyXZl PoXmWcVs9wpWFZPLxEQFdjlWwG/h9Ohq81qzLcnzf3lxGE3FeFwpGcd+STU+F/6ev++ov8KML/09 /wDfUX+FFwuzI1HSJJYldCJnVYlCeUp+ZSBu5OMAZO39amstFFlOXE6upyMCIA8gDIOeD159/wA9 HC/9Pf8A31F/hRhf+nr/AL6i/wAKLsLsrWVimn20kMcskis5ceY24jgDGfwqPULFriYzMzSxIg/0 YIu5jtx8rEjGc4OeDgVcYLtOftfT+9F/hUkoiMreWLrbx0aP+6PUUXC5ixaCw8mU3OyVY03YjBJc PvJJ79x/jUcfheOGaKSKeNTFtwfIy3BJ65z3rbwv/T1/31F/hRhf+nr/AL6i/wAKLsLsoxaY0V89 4twPNkMm87D8wbG0dcfLgduam+xbfsapJtS2UqRtyXBXb1zx696sYX/p6/76i/wowv8A09/99Rf4 UBcwX8PNJcmIuuw2+0zGBSCeirjOeAAT2PPStJNOaO2WFZ1ys6y7vKHIDZweeT71cwv/AE9f99Rf 4UYX/p7/AO+ov8KLsLsVv/ZX/wDQTWQdJkF1D5rtckyh5JvLVRtUdGGeSx28gfwjPStdPJBbzBdE bHx80f8AdPoKQhf+nv8A76i/woC9jGTw2ojSN7kOqlWK+VgEhmI75xhiMZ/PpS23h42ttcQx3Ua+ fGI2K2+0ds8A9wCPxrYwv/T1/wB9Rf4UYX/p6/76i/wouwuypb6cLcJGJP3Uc7SxxgH5QQcLkkk4 JJz3zTZ9Ma4WZWuAPMm8wfu87QU2EdeTjPPY9qu4X/p7/wC+ov8ACjC/9Pf/AH1F/hRcLmFaeH3M aSMy27AviNoFOBvyAcHB9T65HpWpFp6xahJdhx86427ADnCg5PcYQYHbmrOF/wCnr/vqL/CjC/8A T3/31F/hRdg22QXlvJc2/lRzCImQklow6sNq5UqeoNZy6IJWlBLxBZI9jOqsWCj5mHPG4+vpyK2v 3PlKALrfvbPzR+i+2PSm4X/p6/76i/wouFzEl8MRyj5rhGbAXLwBsAZwAM8dR+R9eJ5NDMlvDCbl f3EbCIiMjY5bcGwG7AYx0rUwv/T1/wB9Rf4UYX/p6/76i/wouwuyvNZmWK8US7Xul27tuQny7Rxn nufxqjqekyTusyESPviwvlKdpBXL8nkAL0+vNa2F/wCnv/vqL/CjC/8AT3/31F/hRcLmfp+kf2fO ZFmVxzgeUBj05z7nPrmrccItrEQhi2xCNx6k9zUuF/6ev++ov8KRwmxt32vGDn5ov8KAudLp3/Hk v1b+dFLYY+yDbnG5sZ9MmikIil/5C8P+5/RqvVn3LiLU4pGDFVTnapbH3uwqb+0bf/pt/wB+H/wo Aq63HMUhkhvp7d/NRESLbhyzAfNkHIAzxxWpVKS7s5WjaRJWMTb0/cScHBGenoTT/wC0bf8A6bf9 +H/woAbqn/Hn/wACFcMl7dQ3FxLZTG4zII2EodgjFmCjbkbTu2jjgrg4B69ne3MdzB5USzM5PTyX H8xWVJGk3ktJDckwsHUeVIBnHcY5/GpkdNBpXuzCbXtQEksipC4XekcQVgpIkUFi2ewJ9OeOtA1y e8t9Shn8iIJbytG0LuGG3jk8c/Sui80/88p/+/D/AOFHmn/nlcf9+H/wqfkdPNHuZGmTSS29tGkh KtcO25JWkXYozgO3LDcR19x0FQQznTUkNtJJOXvGhPnyvJ93ooyeGOcf0Nb3mH/nlP8A9+H/AMKP MP8AzyuP+/D/AOFLXsHNHuc7D4hu5dmVtVkdeH/eFF5XII6nGcZ9T+evbw7dXvJFeYrtQEPIxXcc k4B4HG3pU9uiWtvHbww3IjjXaoMUjED6kZNSeZ/0yn/78P8A4UPyQ+aPco6s6paTM0xhGUBcA8Zy OdvIHqRyBk1lLq2oWdmcCN444VkV5gzMwYgL82Ru53dhkAetdD8+/wAzyZ9u4DPkv6HtimxokU0s yw3PmTY3kxSHoMADI4HsKfTYiMo3epgPr+oW8ZXZbyMpbMkgZAG84qBjqcDH4kc0y91N7u10+cyp FO3mjbHO6AsNuNoH3jyMK3BzXTeaf+eU/wD34f8Awo80/wDPK4/78P8A4UX8iuaPcydV/e2WpTST zRRwsoQpIyYKjnkYOMsfyFQ3mrXGmyvawiIxwssYacuzKuBhmP8AFuzx0+6cmtzzD/zyn/78P/hU c0aT+V5kNyfKkEiYikGGHToOevSkvNBzR7mRDrF3PDdNFHCjxQyOE+ZjvDEDn0GORjr0rT0py+mw MW38H59xO/k/MCecHr+NWPMP/PKf/vw/+FHmf9Mp/wDvw/8AhQ/QfPHuYl/JIL+1SC4dZ9qmOLLB XOB6cMOPmB528gjvA+u6gwhBMESyASlxExITzQvIzxxn657Y53gjCFoZIrhd6AHbG4OCo6EDg06L bBCkMcM6pGoVR5L8AfhTfoRCUeVanPf8JNerPGJba2iQkl1Z2LhdzD6A/L+eelS2920OramySmQR ecSomZyCNu0FTwvOcY68+lb3mn/nncf9+H/wo8w/88p/+/D/AOFHyK5o9zHnh+zX8EjTXElxFZvJ 5Xnttdk2j7ucHOTVZvENyHKSJbPGAhDIXXeC+N49BxwMn7w59eh8w/8APKf/AL8P/hUaIkdxLcLD c+ZMFDkxSEHbnHGMDqelL1Qc0e5QivZJ002aWZUaa5ZdseVVhsf5SD1II+mRWjN0X6n/ANBaneYf +eU//fh/8KZJvlwqQzk/MeYXH8J9RQk7inKPK9TAgvbuOaVrKf7QssyxkzB2CMxYD5cjac9ccEbS AM0i+IL8u0oSFw3yxxBWC/6zaWLd+MD69u1b8qJNJFJJDcloWLJ+6kAzjGSMYP49Kk80/wDPKf8A 78P/AIU7+Q+aPc5v+3Z73T9RScwRbIGeN4JHBGCByevccir+nySTQ2sSyMUMsrbkkZxsXIADnlhl hgn0rV80/wDPK4/78P8A4UeYf+eU/wD34f8AwpfIOaPcwYLg6dAPssjz+bdSRH7RK8mdrYCqSeCQ c/8AATxTLbxBdXBiBW2WSRF+f94VGSMjb16/Ln1/KuhZ9ylTFcYIwcQv/hTIFW2t44IorkRxqFUG KQkAcDkjJp/IOaPcp209zJr95HLHOkKxL5QYDYcMRuBB5J/oKj1x1SzcvMYQZFG/5gO3UryB6kdK 0/M/6ZT/APfh/wDCoZVkP7xYJ9u/H+pfP3R2xRHcyrSXJozml1W/tbYDajLGke1plZnYPgLkgjcf vemePpTG16/gh27LeRlXBlk3KC3mFcAd8AAfXvXQR2/lSSyJb3O+ZtzkxSHPGOMjgewqT97/AM8L j/vw/wDhWt0cl12MK41iZ7C1mjCeblppgr4GyM4bGeoORx1q3e4uEvSZZEhitwQUcpzgvnI56ba0 v3v/ADwuP+/D/wCFGJP+eFx/34f/AAouK5gyalNp8McMBR0EKPvnZ2OGIy5PUqM4x9Oam0/VZru6 8phFEvzF8biT8oPHYYzk9uR+OpPb/aYvKlt7kruDcRSLyDkcgeoqQ+aesFx/34f/AAouO6KGlOH0 9yshkQSOEfeXBXPGGPJH9c1W1SWUatEttM32gIpSElgrHaew4YcfMOo4IPY67CQqf3FweP8Ang/+ FE8EjLJDJBchXUA7I3BxtHQgcfhRcV9TnzrV68kAJhjR9krFYmLbDIFAIzwSPrnPtSReIrxriBZo LaNHx5i72LDLEfTjH866FEaONY0t7hVQAKBA/AH4Uv73/nhcf9+H/wAKLod12Mq31FjrNwshH2Zg yRfMDlovv8dR1P5Co2h3y6W889wJpAzFFmZQxALgYBweSB9BWziT/nhcf9+H/wAKMSf88Lj/AL8P /hRcVznJPEF0EO6O2KmJmyN6545x6beh9wenazc6gJNMaaecQE3GyHyyy7T2DepHJ9DwK1vIP2o3 PkXXmlPLz5UmNuc9MY696k/e/wDPC4/78P8A4UXQ7oRvvHj+F/8A0E1z1peXSSE2k32hJpljLzB2 2seRxn5TjduHT7uMZxXReXK5IW3n+4/WFh/Cfao5LfzZ45nt7ktFnZ+6kwMjGcYwf6UISZgxa7fO RLsicSFAkYDBVG9gW3d+gHue3apLPxBLLa3UtwtuDFFvj8pjg5wADn3Yc1vfvf8Anhcf9+H/AMKP 3v8AzwuP+/D/AOFF0O67GVZ3E8tnb28jH7RHceTPhsn5PmOSPUAfnUAl/s43ksEskrC5ERE8ryKv yBsYzwSeBj1H0rcxJ/zwuP8Avw/+FA80HPkXHH/TB/8ACi4rnOjX7ljh0tkfLgHLlUIYDkcZwOT9 RitWNt2rtiUuRbgOgJ2xHORx6tk9eflqzb25tYVhigugikkAxSMeSSeSPUmpMSf88Lj/AL8P/hRc G0Z+sOqWBLTmEGbG/LAdF4JXlR79v0rPGq6hbRqhSNghiQGVGLtv+7nB+ZsA5xjn8q6ARzBQ/kT4 Lt/yxbPRe2Pao4rfyWlZLe53SvvcmKQ5OMdxwOOnSi4JnPHX7+G2UbLeRgi5lk3KGYls4A7cY+oN WbnWJDb2cybQVBnuAr4AjVthxnqMnp14Fbn73/nhcf8Afh/8KP3v/PC4/wC/D/4UXQ7rsZeo/vbf UXaaVIoIhsZHKfMFLE5HPdfyqtcalNp2LaAxtGiJ887OzKrFfnJ6kfMQP93rW7iT/nhcf9+H/wAK jmtzcIqSW9zhXVxiKQcg5HQetFxXMmz1Wa7eWMqsQCSMwQMz5A/hzxkcZHuMe9rS3MmjKxdnyr8l i3r0J5I960P3h/5YXH/fh/8ACmyLKY3H2e4JKn/lg/p9KLg2dJp3/Hkv1b+dFLp4ItFBGCGYEfia KQiC6jSbU4o5BlSvIzjP3qm/s2z/AOeI/wC+j/jUcv8AyF4f9z+jVeoAyr46Xp7RLPC/7wn7gZto GAWb0AyOferf9m2f/PEf99H/ABqjrtpdXMtobeAy7GOcMAAcrjfkjKYByBk5C8cVsUAZl9ZwW9v5 kKbHB4IY1ysWqWjPIkrvAseQJJpdqsRnIHzdRgnB5xz0Ndjqn/Hmf94Vw82kyO6F5HuDLKuXCqvl oCSQ397glRxnGKaGi6L2xM7Qi7QuqlmAmPygEDnnjkj86ljkt5nZIrgOyHDBZiSv154rMfw6kiuj XJKOzEp5YC8sGA69Bj8c/hS22gG0adobpY2mjdMrbgbdxzng84o0HoXVvIHsftimQx5xjec53bfX 1piX6fabiKeCe3jt/vTyygIeeP4sjPUZpLbSktUMUb7YRMkqxheF2gcZJPUgH9Kdcae87XDC4CmV o2T93nYVGOefmz+FGgtCU3FsGYfaF+QkP+/+5gE88+1MW7he9W2TzG3x+YsiyEqR1Hf079Ky4PDx bcS/kBJX8tTEpO3nByD3zn17VqJYlL5LnziQkXl7AoAP5dB3xjrRoPQkurhbS0kkcyFFdTtEhGSQ R1JwPqeKhi1GykiDvcCBsEtHLNtdMddwzx2P4ip7mKSaB44pjC5dcOFDdATgg9Qeh9jWV/Yfm+dC WaJRGiLIVB3EEEsoB+XgKo9Md8UKwlY0Y72yki81btdnzfMZiPuttPf14pZbm3hgScylo5HVFZZC QcnHr0rOm8NxTMWacMei74Q20b9+Bz7nn/8AVTzoKvZRWkk6tFF5hUeVgbmGAeD/AA88d80aD0Lt zcLbllWKeaRYzJsRzkjIHcgd/wBDTbe9glt0lmLWrOm8RzTYbb/e4bpyOfepFtWHmM0xeSSJYy5X pgHnHuSTWbqGjSSWQCN58kcKRhPLX52XgN8xwOCTj6UCVjTWe3d1QTrlziP9/wDf4zxz6GktZku4 mkVZUUOyDc5ycHGcZ4/Hmqtnows7szrcB8kkjygM5A79uRn9KuW0DQI3mSeZJI5d3C7QTgDgduAK AILvUY7e5iimEzb0QmQSYCLtUZOT0Hcjp360r6jp8ahjexkMwUYnzk5A9fVh+dNvLJriRJWkZ4o0 Qm3CA7yFHQnoTnB7EcVUh0JvLgka4MUyxAMNgY7t+/JPfHT/ADijQehpGe1DrGbpN7EhV8/kkHBA GfWhZYmu3tQz+YiBz856E49f85FZP/CLxI6tFOqbehMALZyTnOff9KvJppTUmvxOPNZ3LHZ1QgBU 69sA5xzijQNBJdQCPCIrO6nWZ2QOjjAIJB6sD/CT9BVg3NoOl0jH5gAJ+pHUde2Katl5a2SJLhbU 5OVzv+Ur+HXNZUnh4vdCPfmMwMpmMSkfwhVxnPRQT2PPTNGgaGpNdwxQSSpvn8o4kWKXJTjJzzxg c1ZHysCjuCQ3O8/3G96zzpUo097WO8CF3DFzCDkdSCM8898+1aJPzAnnhv8A0BqBGfFqtm7SCV2t 1QkB5ptofBIOPm6jHIPIyM9anW9smneFbtS6DLATH5fm2889c8Yqk+lSefEZJHuS0ys8u1V2ouTh v7xOducdAM9KZ/wjiGMRvcllzuK+UAD82R36DkY/H2p6D0NSOW3mLCK4V9n39sxO364PFRJdwSWS Xa+aUkICjec5LbQOvrVG38Pm1juFiu1QzxNGStuFxkjnAPPT9at2+mJbKI0fEK3HnJGF4Xjpkkk8 80tBaCRX6NNOk8E9qkBAMs0oCknGP4uM5B5qdrm1Utm5XCZ3nz+EwMnPNQ3GmtcfaP8ASdpmkV1/ d52YTaR15yM+mKz7fw+zLvL/AGcrJJsQwq2F3EryDzycn16GjQehqidDdrbhZcPHvWQSEqw46c57 jnpUstwlrbPJIJHRZBhRJjkgAckgDr3OKiFoReJcGRdscXloojAPOM5PccdMDFTPBJcRPFFN5LFw d2wOCABkEHqD0IpPYqnrNBDfabLEHadIW27mjlm2vH04YZ4IyPzFOjutNlgE63MYjIJ3NNjgErnr 6giqA0HzfOjLPCq+UqOwVi23G5lAPGcAc/3emKSfwtFOSzXCsxGAXgDbV3lgAM++M9e/tWenc7+V di5d3ttavCBDJNHKpfzY5RtVQQM8tk/eHTNF7dxWiylbS4uDC6o4jcDBIz3Yeo/OoD4f3R2kRuYy ttvA/wBHGfmYN8pz8hGMZFXZ7Ay2txCk2xp5fMLlM45BxjPooFK6DlXYBNZBf3sqwuAu+OSbDIWG QDz1pyPaMxXzFDqpcp52SFBI3YB6cVnajojz3iSxtuEk5Yny1PkqVbceTzkkAY5GantNDjtoZoXm LxyqVIRBGRzngjkcYH4Zo07hyrsWLV7e9sUuolkCSruXcxBx+dQXGoW8F2sVwspLKGeXfhYxjqcn pxyeg4z1q1aWgsbBbZZHkEYb55Dljkk8/nVS7sHuW89naWKNP+PUIuXO0j5WJ4znB7EAU0yXFcy0 /rQle80tNgN3ETI4RQs2SWLBcdfUgVIJLAyJGLiMu/3V87luccDPNZ8WgMBBK100cqxoGwgJLh95 JPfnI/HvUcXhWKCWKSGdE8rbt/0cE8MT1znv/nNLTuVyrsXYL23mmuI3t5ovI3nc0gIYIcMRhiR2 64pFvI2vEgNjcqjRCXz2kARVxnJ+bPfHTrTU0QLLeu06/wCl7wdkIU4ZskMc/NxwD25qzd2BuppH M21Ht2h2Bc4JIO7P4dKLoOVdgEtixURzxyMwUgLPyQSAD16cigTWjPAsRMq3BZUkjcsuVBJyc+xr KXw88t3cGRwi70cSeSv71uCzDnI7gA9O1akWntELMCcEWpYnEYG/KkdunX3zQ7dw5V2JpI1jGULK SGH3z/dPvVK31PT5i/mE2wU4UzyhRIM44+bt3HUZANX5/uj6N/6Cayzo8q3UHmyPckzB5JiqqAqj ow/iLHHOP4RnpQnpqTyrmehcS506Sd4UuY2ePG4CbplioHXrkEYpk91ZxWc1zCftIhxuWGYE5Jx6 4H41TTwzGIo45LouqFW2mIbSQzEcZ6YYjH8+lJB4a+z2lxbpdR4njCNi2AHBHJGeemMe9PTuVyrs XkuIHhicQTb5C6iMPkhlByMg4PTHBplneW9zFvmgksyXKIs8oBcjOcYY5xg/lU1pp62vkkuG8lXA VUCKCzAnA7DjAHaqtxo7SWgRpvNKeaSvlgeYGbft5PHIAz6Z9aV0HKuxaE1gQGE8exsBX8/gkkgA c9cilge2uZp44gW8hgjMJON3cdc8e9Zth4faEW87zhZFjj3x+QvBAIxwcdDj2PIrSs7BbOe4lV93 nNkDbjblmY59Tljz9KH6hyrsR3k8dnEWdJJEEmFRZMckJ3JAH4n+dJFe6bJGrm5jjJUFkkm2smcD DDPBBIH1NPu7eS6DRRz+SSxJJQOGGFypU9Qe9UF0LzWlDNJCqSx7GYKzMEHLDB43E9/TkU9CYxWu heju9NltluFuoxEyhgzTY4JIB5PsfyqO5vLe2uIYvJlkSVd/mpKNqjcF/vZPJHQGqUvhWKUZa5Vn IC7ngDYAzgAZ44I/L34n/sHLWm64QrbAgf6ON3L7vlOflPAHHajTuVyrsTXl3Haq5jsrm58uURMI 3AwSBj7zD+8B+NTiWx6PMkbgqrI82GViMhSM9fakksS9s8KTbWecTM5TPO8NjGfYCs++0Npr+ORW LK8zEt5anyVZX3dTk5LYBHI49KV13DlXYvPNbiJ2iUzSogfyI5gXwTjP3sY9/anxiK4sFuFjkTzI t4VnORkZ7Gq9no32S2mhFyD5sZTcsQXbnjI/DHHtV91CWzIowqoQB7YpNhyrsbOnHNmpPXc38zRR p3/Hkv1b+ZorY8wivYLl7pJYAeFxuVwCDz2II6Go9mqf35f++4//AIiuG/4S/Xf+f7/yEn/xNH/C X67/AM/3/kJP/iaAO52ap/fl/wC+4/8A4ijZqn9+X/vuP/4iuG/4S/Xf+f7/AMhJ/wDE0f8ACX67 /wA/3/kJP/iaAO3e3v5RtlEjp/dMkYz+S1UGjTgAYn4/6ax//EVyf/CX67/z/f8AkJP/AImj/hL9 d/5/v/ISf/E0Adb/AGNcek//AH9j/wDiKP7GuPSf/v7H/wDEVyX/AAl+u/8AP9/5CT/4mj/hL9d/ 5/v/ACEn/wATQB1v9jXHpP8A9/Y//iKP7GuPSf8A7+x//EVyX/CX67/z/f8AkJP/AImj/hL9d/5/ v/ISf/E0Adb/AGNcek//AH9j/wDiKP7GuPSf/v7H/wDEVyX/AAl+u/8AP9/5CT/4mj/hL9d/5/v/ ACEn/wATQB1v9jzbCNk2dwbd5yZ6EY+770f2Ncek/wD39j/+Irkv+Ev13/n+/wDISf8AxNH/AAl+ u/8AP9/5CT/4mgDrf7GuPSf/AL+x/wDxFH9jXHpP/wB/Y/8A4iuS/wCEv13/AJ/v/ISf/E0f8Jfr v/P9/wCQk/8AiaAOt/sa49J/+/sf/wARR/Y1x6T/APf2P/4iuS/4S/Xf+f7/AMhJ/wDE0f8ACX67 /wA/3/kJP/iaAOt/sa49J/8Av7H/APEUf2Ncek//AH9j/wDiK5L/AIS/Xf8An+/8hJ/8TR/wl+u/ 8/3/AJCT/wCJoA61tHmJyqTKMAYEydgB3X2o/sa49J/+/sf/AMRXJf8ACX67/wA/3/kJP/iaP+Ev 13/n+/8AISf/ABNAHW/2Ncek/wD39j/+Io/sa49J/wDv7H/8RXJf8Jfrv/P9/wCQk/8AiaP+Ev13 /n+/8hJ/8TQB1v8AY1x6T/8Af2P/AOIo/sa49J/+/sf/AMRXJf8ACX67/wA/3/kJP/iaP+Ev13/n +/8AISf/ABNAHW/2Ncek/wD39j/+IoXR5g2WSZhgjBmTuCOy+9cl/wAJfrv/AD/f+Qk/+Jo/4S/X f+f7/wAhJ/8AE0Adb/Y1x6T/APf2P/4ij+xrj0n/AO/sf/xFcl/wl+u/8/3/AJCT/wCJo/4S/Xf+ f7/yEn/xNAHW/wBjXHpP/wB/Y/8A4ij+xrj0n/7+x/8AxFcl/wAJfrv/AD/f+Qk/+Jo/4S/Xf+f7 /wAhJ/8AE0Adb/Y1x6T/APf2P/4ij+xrj0n/AO/sf/xFcl/wl+u/8/3/AJCT/wCJo/4S/Xf+f7/y En/xNAHW/wBjXHpP/wB/Y/8A4inLpNwi4VJt27O7zkz0xj7vtXIf8Jfrv/P9/wCQk/8AiaP+Ev13 /n+/8hJ/8TQNO2qOw/s27/6bf9/Y/wD4ij+zbv8A6bf9/Y//AIiuP/4S/Xf+f7/yEn/xNH/CX67/ AM/3/kJP/iaVkV7Sfc7D+zbv/pt/39j/APiKP7Nu/wDpt/39j/8AiK4//hL9d/5/v/ISf/E0f8Jf rv8Az/f+Qk/+Josg9pPudh/Zt3/02/7+x/8AxFH9m3f/AE2/7+x//EVx/wDwl+u/8/3/AJCT/wCJ o/4S/Xf+f7/yEn/xNFkHtJ9zsDpl2QR++5/6ax//ABFKdMucnasqA44EqHtjutcd/wAJfrv/AD/f +Qk/+Jo/4S/Xf+f7/wAhJ/8AE0WQc8u52H9m3f8A02/7+x//ABFH9m3f/Tb/AL+x/wDxFcf/AMJf rv8Az/f+Qk/+Jo/4S/Xf+f7/AMhJ/wDE0WQe0n3Ow/s27/6bf9/Y/wD4ij+zbv8A6bf9/Y//AIiu P/4S/Xf+f7/yEn/xNH/CX67/AM/3/kJP/iaLIPaT7nYf2bd/9Nv+/sf/AMRR/Zt3/wBNv+/sf/xF cf8A8Jfrv/P9/wCQk/8AiaP+Ev13/n+/8hJ/8TRZB7Sfc7D+y7k/fWVhgjBlQdRjPC+9H9m3f/Tb /v7H/wDEVx//AAl+u/8AP9/5CT/4mj/hL9d/5/v/ACEn/wATRZBzy7nYf2bd/wDTb/v7H/8AEUf2 bd/9Nv8Av7H/APEVx/8Awl+u/wDP9/5CT/4mj/hL9d/5/v8AyEn/AMTRZB7Sfc7D+zbv/pt/39j/ APiKP7Nu/wDpt/39j/8AiK4//hL9d/5/v/ISf/E0f8Jfrv8Az/f+Qk/+Josg9pPudh/Zt3/02/7+ x/8AxFH9m3f/AE2/7+x//EVx/wDwl+u/8/3/AJCT/wCJo/4S/Xf+f7/yEn/xNFkHtJ9zsP7LuccL LuySW81Ocgcfd9qP7Nu/+m3/AH9j/wDiK4//AIS/Xf8An+/8hJ/8TR/wl+u/8/3/AJCT/wCJosg5 5dzsP7Nu/wDpt/39j/8AiKP7Nu/+m3/f2P8A+Irj/wDhL9d/5/v/ACEn/wATR/wl+u/8/wB/5CT/ AOJosg9pPudh/Zt3/wBNv+/sf/xFH9m3f/Tb/v7H/wDEVx//AAl+u/8AP9/5CT/4mj/hL9d/5/v/ ACEn/wATRZB7Sfc7D+zbv/pt/wB/Y/8A4ikbS7tlKnzsEYP72P8A+IrkP+Ev13/n+/8AISf/ABNH /CX67/z/AH/kJP8A4miyD2k+56LZxvFbKjqFbJOAc4545orzr/hL9d/5/v8AyEn/AMTRTIP/2Y== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0129.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Document Selection Experiments
Intera= ctive
Select= ion
 F
0.8
Standar= d
Ranked = List
Topic Description
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0129_image114.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhlwDwAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAACV AO4AgAAAAAAAAAL/hI+py+0PTYi02ouztnP7D4ai0o3miaZAqbbu+7DwTLdyjeffrfd+xPsJh4cg 8dgzIpc0JfNpg0przqkVVL1qM9mtl9L9ihvhsRlRPp/T6jG7/X3Dt/L5tW6f4vPQPZ/p94cUKEhE WCh0iOijuKjT6IgDGdlEqTZp+YKZGcUptumJAhpqMkoqYnqKpaqVyrrh+solq0crFWtbgZsLxAvo u7QLTDZ8JFxMgjx0rFzU/MP8HN08rVyNfF2cPbwN3O37zRueO25bTnsum/66ztqu+n4aTzofWu95 z5mfuW/ZT/kvUkBHAxcVRHSwUEJBC/805PMwT0Q7E+dUhHOxTcZL/88YdUzy8VHIHBvXjJR0kkrK SithlDTz0k1LlzM11XQR89PNTjtF9UyRM85Pn0NLFTV6FFVSpUtXNd3xFGpUWFOpVp11FUNQL1vp ZNX69ULXVmE5lNV1FkzaXmtjtHX7lljcBAHq2p2L5i7eInr3Shhrpa47u4QLGz6MOLHixYwbJw4G blBkY5MNVV52OVFmaJs9ipP8mXJoy6Mxl9Z8mnNqz+RAtxb9mnRs07NR11Z9m7U517th937EAnCy JHqF0y3lGDG45Iu1Fu8MVmxw6GKd5o7uwTiaEH60O7Nu9Xp1qeLNkv+dHTw67urVsT+/vj129OHr x4ePtTxa/Ozep3pfPZ8G3kngn33uyTeefmrx506BAlJn3n8KsiUhfQ8yCI+D+Vm4oYDMfQhiiCIq h+BcA/7i13YpfrfiCi0S+OKJkMX4oos03tiijLylqKNvPNbYo2wrBknbkEAeiaORSf64pF9E2qZk jkhK2eReTxLXl5VZ4rWlljcWAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0133.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Measures of Effectiveness
•<= b>Query Formulation: Uninterpolated Avera= ge Precision
–E= xpected value of precision [over relevant document positions]
–
–
–I= nterpreted based on query content at each iteration
•
•Document Selection: Unbalanced F-Measure:&= #13;
–<= i>P =3D precision
–<= i>R =3D recall
–a= =3D 0.8 favors precision
•M= odels expensive human translation
•
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0133_image115.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAACC42Sv0vDUBDH7+4lbdMWjD+K4hQ66CAV6u7i0E2RthTcWiFQwbRCKxonJ+fOLg7+ A44ODpncxFE3wb9AJ0HB+N69l6gV1MKD+17vPve9cHc316fAv7YT2eio6KKOIANxhAAWlPhfWz6H VGTJR4icQYrjmDPLOMeZKqGpLlDSV6TIbjtTMlrITMA8xKoJXKkjGV3K58lxh7K0YGqKsN4Zdpvh ni/dsKlXSctpo1DmiRXU9Bl6FKFQ0bSMzq0kN5lJci+5hOCOEdAQgLYMAWjWURu/0fG7rh2h2sgi cJs7gT/wNvwDr94POj2AE00hdraS79qlrKqtp/pMKL1pdJtqoHSNfYxNkJPBbYTBdn8XSHMFu3xK +S1xy/xOqveF1prnxb/zyPCE6Y9I4Nf+Tz/wTz8PGVVaMXrNeraUXkr3XeRrWIXST/4fX/S705ZA nlQ1uof3ttZ5czF5vioGm21cyLK64jtEonIjHAz9AGB8G8F1Hws8dSQKAwAA ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0133_image116.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhogBjAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAUACACY AFUAgAAAAAAAAAL/hI+py+0PowtU2ouz3nzR34XiSJZHZabquqLsC8eSK9e2TN/6Tub8D7z4gsSi YmhMEpHK5o7pjOIC0uqTas1OtdwXtAvWfMNkyAekPKvP5fYDnRi7w0js/I6o4/cGOd+dY/d35yM4 CGhoaLHGeFjDqOhIlxgp2RV4Bam5ydnp+QmqlpdoiWjiWdpSmUrmx1oF99q6NoGy+hebZUd1iyd6 edKLK2wkSMznGmQs23e8FAzgPMIGrapKkxxckeu1i5UtJB3hYiteTAoefopuXjTEvV7ynr4USb/Y zjDfVpeP79HpSKV7QPbFIDgKoKk4CMf5YyjwYUGB0fp060HxWyuIqhUbNvBYMWFHiTrIeSNZq4c3 bfyoNevmssOvl8xq2ryJMycOnXR4gkHp82BQLkCHsig6NFTMaAEZKn2KKidSoymmUpV3FVZWKVa3 hujqNazYrZvSQKqZC6SIWPAcGXRnD2ySt/UUsqKrLO6ruHKF6Otbl+I5u6kCqf1KCTBcWk00yTqs wjAzyFUpTVYs0/JezBzwSqIcT3BhzhvmkS4JWuXA049mNnatrV0BADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0133_image117.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAACC7t+9tgsBjBw4FRgYeAEsQqDGUEMZjdGIMEgCpZlBWJOJhCLBYiZGBnBIoxM//// B4voMUqARQyZGKGquZlg+niYFFgcOIWALDU2fgYphv8gTQwCQP4BIGsHiAe07gYzUA9UDQ+Db2JJ RkhlQSoDwwOwo34xQXSAgBLYRl1GiOkiTAxMp1hBLGEgq4QD5N7fTA3/IGonMILdzMQgEJKZm1qs 4JdarhCUn5uYx8DQAjGFkYEDSBtxJTC1cYAUx0L5PcyP2EF8TTh/EhuIrwFXb8UK4kczoNvISMBG JrD7P8Bt7mFOAduUBec/AZtcBOXnMXKhyCcwHWEG8V3h/AgGUGA7BkBcovCfWJcwQl3CBDXpANNd FohNApihCAxdBoHgytyk/BwGJuw+SWDqAce/LQMXNCa5wLENjgSomQIM7GDeHnD6YGRiUgquLC5J zWVgQHcTM1gdADro3fSiAgAA ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0133_image118.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlheAA2AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABwBx ACwAgAAAAAAAAAL/hI+py+0Powmy2ouz3rz7D4biFlDjiZLpykZmC8fAK9cpbechrvcc7wtagMIi hGi8lZAPJmPJ5EFLoCn06XRkG1TsgraVgLlhhKms6KZn3wRaayZjlj8iRbr2vJxqW/9wlhenB9j0 VoU3IaiYZvXndqV1+PE3FjdVVWjYU4k5eLJ3BOZIWmpqZqmpaujINTSpF+o2i4IDdAbb0XX7OWK7 qWOFSurbCgmYW5fkgsyZ7Ncc/CwzqhEFvOyK/NikbUeX3TYdNi3EfXHeGL6ym6reu+7LtneNGl8r VR99v3OLlM9PxDdt9gJm+vLvnUFCCAnuW6jCSxuFEK3BmUirohKMEQ81glq0ymMtRolEsrjzaEsB ADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0130.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
End-to-End Experiments
Query= 3;
Formula= tion
Automa= tic
Retrie= val
Intera= ctive
Select= ion
Average=
Precisi= on
 F
0.8
Topic Description
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0130_image119.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhpQE4AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAACj ATYAgAAAAAAAAAL/jI+py+0P4wK02ouz3jzLD4ai2JXmWY7qyoLoC8eyGcz2XN/6zlN5D/QEh0TO r4gsHpO7JfOpc0Jx0+pNas12sNpU9+sFw7jiL7msPaMr6vW07Ya7mfI5si7G24d6cH/f8wfYNChU mHaIIZgos8g49ugT+TYJ4FgZhnk3eam50UnpqSQ6GglKanH6pIpq2RrEuvkaWBlLaiuKyzdLy8nL o6sZDDRca/wbhZxsqnx13NwITcUsHVPcW/1yTf243f2cfeLNOG5Tfng+HS6+jpJu3c7uG59J/zlv f4+fb8jfT+5Pwzt4ARUVNMjtoKR9CgfucehOYSpwDSWyYXgQYkSL0644aqTBsWPCih4xFvwIsqTK bytZWkSJBqaRkDJntiTpUmJNfS9pmgy4U6DPm+iGjsxoFCDRokuB/vQX9B9OnU/5RUXYsymgq1m4 TtRqtWo+rxfBjhVrj+zCrGyVtnVL1ewctVDo0l2VNNFdOhSRyo2TV2/gk2jp2R3s9CjhwvH2JlHr WJbixG+ZVrYc9/KgyKUmQ0W8FXTov40ZtztM+rTpdag1f/YcdnU4zkQgi354O63sbK0z+xacOmZu w7ur9W7YIrny5ZyWO38eohb06dQZFAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0130_image120.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh4QAHAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAADf AAUAgAAAAAAAAAI3hI+py+0Wwpu02ouz3ifyn0UeSJbmiUKiKrbuC8fyLKf2zdD6zut42foJh8TQ qsgZIZfMpRJQAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0130_image121.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgBJAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQAF AEUAgAAAAAAAAAIrBGKGuZr3GmSx0uvwzHx7CVpdqJGj+KFmWqpuC58xK9f0vQS6fux9w8sUAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0130_image122.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhHQACAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQAb AAEAgAAAAAAAAAIEjI+pWgA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0130_image123.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgBJAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQAF AEUAgAAAAAAAAAIrBGKGuZr3GmSx0uvwzHx7CVpdqJGj+KFmWqpuC58xK9f0vQS6fux9w8sUAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0130_image124.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhWQECAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAABX AQEAgAAAAAAAAAIQjI+py+0Po5y02ouz3rzbAgA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0130_image125.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgBuAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMAAQAF AGsAgAAAAAAAAAI3BGKGuZr3GmSx0uvwzHx7CVpdqJGj+KFmWqpuC58xK9f0veavrc89v8MFf0Lf K4BMKg9IRVNWAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0130_image126.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgCSAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQAG AI4AgAAAAAAAAAJOhGOJCavcoDuyshmvfbrzT3khmJHYuY1quaIiC7tmGtNya+fvXe/67AsChzhh kdhD8pa/ozP5ZBqhVKmyWcVao9ru1BUIixtjclgxOQMKADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0130_image127.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh4wAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQDh ABoAgAAAAAAAAAKJRAKpy+0Po5y02ouz3vTwD4biSJbj4ZnqyrbuiiLvTNf2G8v3zvd+pPsJh0Rc 8YhMfoLKpvOZYEKn1J+0is0atdwuzAsOg67istlBPqvN6bXb237LsfG5/Vm/65H5vV/Y9ye4Ezho OFN4qPi12MiT6Bi5JEmJk3OJmam5ydnp+QkaKjpKWmoaUAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0126.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
End-to-End Experiment Results
3D"Text
Fα=3D0.= 8
Qualitative User Studies
&#= 8226;Observe user behavior
&#= 8211;Instrumented software, eye trackers, etc.
&#= 8211;Face and keyboard cameras
&#= 8211;Think-aloud protocols
&#= 8211;Interviews and focus groups
&#= 8226;Organize the data
&= #8211;For example, group it into overlapping categories
&#= 8226;Look for patterns and themes
&#= 8226;Develop a “grounded theory”
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0095.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Questionnaires
&#= 8226;Demographic data
&= #8211;For example, computer experience
&= #8211;Basis for interpreting results
– <= /div>
&#= 8226;Subjective self-assessment
&= #8211;Which did they think was more effective?
&= #8211;Often at variance with objective results!
• <= /div>
&#= 8226;Preference
&= #8211;Which interface did they prefer?  W= hy?
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0137.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Taylor’s Model of Question Formation=
Q1      Visceral = Need
Q2      Conscious= Need
Q3      Formalize= d Need
Q4      Compromis= ed Need
  (Query)
3D"Text
End-user Search
3D"Text
Intermediated Search
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0137_image132.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhTgAEAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABM AAMBggAAAAAAAJnM//8AAP9mAP+ZAP/MAAECAwP/CLrc7iLKSeO7OOtbjf9g6FVbaTaSqK6rdL5P ys406MJnVO/8KOAaXW+4swBRAqKSZzwml9AiUBitzpqlp3V7NWm5YNUvGC63Ml+zeoRJr81jyHvO ltPf8YX7Xs4D9nxgfoCBW4OFa36IeAyEi1CHj2GRklyUlVZ+f5iZMZxVmgqOnyyhoqREpnqoTFms NapIr2KxnrMftW2ji1hTrLleVLy9R7KFxMUcwnDIyUEymTfOyRQ9FNPYMRXbwNne3+Dh4uPk5ebn OAHo6+rr5+3u5fDx4/P04fb33/n62fz90/4BTCZw4JGCBtMl9IZw4YmGDktAjKhhIkUMFi8+yKix /wHHjgs+ggQgEmTJjic1pry40mGAly9HmoAZU6bEmjY3wMw5k2eWAN0WcotQoOjQoOUmFF3KtKnT pRPuSXhKtepTaeSmWt3KFWozZ0S7ih37FUfYsWjFlvWSti1apEjcylUL98/cu2pfCMDLl2u3vX0D V80FWLBhp7EKH14MlQPjx0xDKYa8WNNkypVRYKY8aDPkzp4Z+wn9eDTpzI1OHwatOjDr1nxfw75r eTZeU5dt53Wsu23i3m835AaOmC3xwXqPXzU73PZaNMrrQmge+nkO6qWtM8fuWvp20dq/UZh7TejR oz5Dpte5vmL7DC0jxnf5HmP9C/MX5k+432D/gf//ARRgPwPqU+A9B9KTYDwLutMgO/dtFKEDD6JT 4TsTepShAjRdKE6HG+4UIk4ZeihPfeedl1AFBLTo4oswxkhAeetIIOONOOKIVTg25ujjjzDuOE0E QBZppIvhoSHAkUweKWQwTUbJZF1LSmmlkdoReeWWRRLG5ZddogHmmD/iRuaZOVqG5po3DsLmm0Hq AeecLY5RJZ1z/nAnnm/qySedWv7Zp6B5EgpnoIaeiWiiYy7KKJd+PtqoKJJ+mceelUZ5aaZWqsnp lBx8iqWYovpIGKalIplDqi8m+QeqmXr3KqdPwuDon64KdyubtWbT45q9ikPBljQClKKKPJlIjrL8 9WyonrMkQRsttMx+KG21+FyrLbXbOostON/u022I45ZY7oThMnRufSCiS9OI6QZEIrrr2nQsCRFR MMC+/Pbrb7/FujPBvwQXXHBU50Rg8MIME5xrMAI0LPHE+z6sC8UYUxysFxl3jLGsCnssssS5Rjzy ySTrhfLKDf/F8ssLEwbzzAejQfPN/6piMs4848bzzxVDADTQlg1NNApG/zxI0j03wHTTDDyN89JS z0x11S9fjfXKWm99ctFefx1D2GKPTXbHiZ39sXBqp5xF2zGrDHfOZs3Nr8Uhty2rHjt7bbE2W/+t ZN9KCw7x1IZPIQHKCBs0lL9D+RQwOQkAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0137_image133.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhKwCxAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAp AK8AgQAAAAAAAACkewDMmQL/hI+pyxfRokSvCjhzsqJ3rGWPR36hWKbguYxpubLU+8ayS8PynNe7 EejRbJqg0Hc7DpNK5MnY1D2jThRVFYJeSUSGdmuygrnicaW7AZ+n18fvK3S/o/IfAL60A5V1PV6q txcXyJODxmRIWFhF+BemKJgHeZc4SSk5+Xdop2kZCWiJt8nJCCnq6VBqioX6+egJN0oKCktbS9b6 KTvrsTuHm6vl+/vaCjVMjIx4kZtabNzb7MwsfUktbaS8k10tqM30zRIULn5dPd69R/60nmWO/d6M nj7fXZF+14fdnsVf5C8C4AR9+/DlM0hQnkAJCYMtjNDQ2ICHXibiC2CRXkZ7/xvtUaz4UQHGkBs6 YjMpD2WwASpRYWwJiyVJBzI11jzHEmamnDOB8OR482TQlENX/hRa1GXOpDGPEmUaaqnORlJJvlxq tSpSp0q1GvU68IbUqQ6QXcUaUNxYqBTIlhw7aqTatZvkPlnL9k7eFngPvTSLF+bVYWfhVtwrMrDK s4QVo2Q8N3AMyHcdryjc2PFGzJEVYyjslqZmi6ABj35At/Lovp1Xo1XtGmyR2IZb0zZNm+vs3LpF 8Eac+Lc20K6HC39zfBvvcMQt+7kdqHlqqqdNSQcOu/ZO1k21R53e/XVX2d/Fj++9HX360JzMS8T+ HH579s97+rR/8CL+OxkKAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0137_image134.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhJADpAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAkAKQAR ALgAgAAAAAAAAAL/hB+pG2cMG4rMLYdtyhyozm0g9nXUiaaqNLbuO7KPWXr1JNr5c+tyz/vtcBoZ EWe8FCkhJq0CAwGfsCnVtVqetM6o92v0RUgpLoQsyQ3VQs3R5p7I36JeaVxEhmfvrz9zJ6UEdKaD 1sAmlMZyc8e449h3UWeH0oR3afW36QP4CNUZBDXoWGiop8iFpBp0mOi6oSQqBlkqCxo6i7XH2ev7 C4xWNSTIe/mShYpJuxzs3OpRTBlWWBn7mQcHDf161D07nWTp2cz6HPW5Z0u8Lr5IGXeqzUPXllu7 3VjNPkp8f34umagtykzF8EcDHUJyyPSVKShroEGALTQJa2js4q6MSNk2UgS2IqRIgn3kzdFoUpI/ h8dWLYGFC+LBiB8zNVNhxiDNKx6HKeQocZlAZhNrYqyIyyFLVB1pNdVZK6LSqOZMQlU0MqvWAgA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/dsld0137_image135.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhJADpAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAkAKQAR ALgAgAAAAAAAAAL/hB+pG2cMG4rMLYdtyhyozm0g9nXUiaaqNLbuO7KPWXr1JNr5c+tyz/vtcBoZ EWe8FCkhJq0CAwGfsCnVtVqetM6o92v0RUgpLoQsyQ3VQs3R5p7I36JeaVxEhmfvrz9zJ6UEdKaD 1sAmlMZyc8e449h3UWeH0oR3afW36QP4CNUZBDXoWGiop8iFpBp0mOi6oSQqBlkqCxo6i7XH2ev7 C4xWNSTIe/mShYpJuxzs3OpRTBlWWBn7mQcHDf161D07nWTp2cz6HPW5Z0u8Lr5IGXeqzUPXllu7 3VjNPkp8f34umagtykzF8EcDHUJyyPSVKShroEGALTQJa2js4q6MSNk2UgS2IqRIgn3kzdFoUpI/ h8dWLYGFC+LBiB8zNVNhxiDNKx6HKeQocZlAZhNrYqyIyyFLVB1pNdVZK6LSqOZMQlU0MqvWAgA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0137_image136.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhJAAnAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAgACAAR AOwAgAAAAAAAAAL/jI+py60Ao5y02oszdEdy430a0I1kYJ7oWGZIyMHNFKf2rZrt9q1993tQdrtI EYcUVmZDB60EehlBPN7KOsVOr1Qi9aS6apVb63eoRapxPRnT/MYcL/PlWX5fa9pbZz9Olxcohkc4 6MaASBa2kFJnZ2jx+CTGB9eoKKW3qZMwuHjpKVOlmVNlmtZ11qJa+RVVBCUKA0eXxskY+Ve6O2tG 6RrpJbwqGEvcRHgcxNysiwv9OcOc6zQZbUMkqbkstXyKCgYuDs7qGpKFftqd2OtbzUsCfV2WKUTt bFxM/IwNLBhKHyBvKEqZu3UwXMJhWXjJivcQoLxwnEDZg9SuDzBamck4UvIIkpy6kOzymcTkL6XK lSwljtL4p9cvmQaBLDLn8JUvbjv3MQw4k6ASnrPyxGMp7RmggN1I/RT3tJVHqfXA5PTxzlRWI7eQ duSKkcsdTN/IeUk3TqfYkWaVraUowt3VjGC9sojLtGYNFy4/3u0XMolFpmFvNq0Kcs7TxIdhhkkm FqAyu3pOWqbr966jvog/2dM70I+EAgA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0138.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Dervin’s Sense-Making Model
Situation
Gap
Bridge
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0138_image137.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhiAAYAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABACA ABAAgAAAADMzzAJWhI+py+0Po2Rh2ouz3iB4DobimHgmiaZqY7brC4vtrMz2jef6zvf+70MAh8Si 8fgzIJfMpvMJjUqn1KqVqLxqt8mY9/vIgcfkkq2MLtPSbPCpDfdWIgUAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0138_image138.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh6ABsAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAkAAgDc AGMAgAAAADMzzAL/hI+py23hopy02ouz3tyFD3XiSJbmiR4gmLbuC8fS+sn2jecZHer+D5TxgsSi UTQ8KjG9pZDmjFJqUliyilWssqgr9wv9krxiLK9ZZobT2TOaPV3DpW7qfCa/O+t2PYPsd8THEpgA WFg0SIgIcMgIpPj4kCcZxFc5uYWZWIfpuJlzWfkJejMoSVpqQ5jK1qpqZUh59wqLU8uFa7s669q7 a/krpgv8pEkrXPxDrMSsbJVc5fwMfZw2Te2CvRydrbP93e19K24EPp5yzmuNLsguXd5uGs/9Ls9p 30x/b7xIt88vhrp0AANW87dkoEETCks0XDim4IuHEEdQ5HCxYoeM/xo4atzg0ULIjx0lMjRJssVI PPlSElnpAaVLgi379Zmpr+bBmzjNySyps2c9hOuICsVndOeboz6DnoDJ9MLPClCjipw6oapVqlhj Ot0a7uvGrmAdktVytqzFtAi0qo0jVk3ct/PmXrVL1+ZSJGzz8k06Fq9fgWTdDoYLeEffwxixGmac depjyBHUTaZcWeZlzA3Abebc2eRn0AuwjSZduuBp1GgThxbMmrDd1bFlxaVdu2083LlViOPdO5Nr 37CDK9Vie7jxoTwXAV/eKM8p6PAQTqcexYso7P+OXeeecI2iveAhhRlPvnxYVpHU52TR3r27Ldvl v/9ufz7+/PrP8BI3E8Ji/5nF04D/GFhGegguUQAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Attributes
   Person
   Place
   Language
   Length
   . . .
Relationship&#= 13;
   Rel= ated term
   Nar= rower term
   Bro= ader term
   Synonym
    . . .
Conceptual Framework
Relevance Judgment
Query Reformulation
Relevance Criteria
  Topicality
  Comprehensibility =
  Duration&= #13;
  …
Q1
  
 &nbs= p; INR (Information Need Refinement),<= /span> QR (Query  Reformulation)
Situation 1
Situation n
Gap 1
Gap n
Bridge 1
Bridge n
INR & QR Tactics
  Specification
  Parallel Movement =
  Generalization
  …
Q4(1)<= /b>
Q2(n)&#= 13;
(Q3(n))
Q2(n),&nb= sp; (Q3(n))
Relevance Criteria
  Topicality
  …
INR Tactics = ;
  Specification =
  …
Q4(2)<= /span>
Q4(n+1)
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image139.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhegBsAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAB4 AGsAgAAAAP///wKGjI+py+0Po5y02ouz3rz7D4biSJbmiabqyrbuC8fyTNf2jef6zvf+DwwKh8Si 8YhMKpfMpvMJjUqn1Kr1is1qt9yu9wsOi8fksvmMTqvX7Lb7DY/L5/S6/Y7P6/f8vv8PGCg4SFho eIiYqLjI2Oj4CBkpOUlZaXmJmam5ydnp+QkaKjrKVwAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image140.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhBwISAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAG AhABgAAAADMzzAL/hI+py+0Po5yUhnsPzmbXD4biSJaMp2GparbuC8fyTNdr4G6ozfc+3mGZdDuf 8YhMKmnFpG4JVQKD02Uzis1qt6ArN+H9ih3CMThsTqvXFg7b8t6W4xA3/Y7/VvN1O382tfdH5jdo eCiChtgnuCih6EjYGEn5N1n5UYi5CXPJ+ck1BzqiiQg5+uiJusqaV9oKe/IaS5s5W0vKJ4o7xOv7 +At4GxosM1yMnKy8DMccu+v8omoEHd0ybW2InU1yzH1Y/U23LV5ufn7njX7NE74u/a5GHj80X2FP T4qfzx+5368HoJR/ArOoK4gwHcGE+kIcZHhtIcSJeiRS/GERYsaL/+04elT40aCskFg25jNJMheY lAZRsnxZD2bAlC5lNrSJ00lOkQBq7sx08eHPTgiEDs1xNGkNn0ofMOX1tOkJqVS7Ra1adMJVrAC3 cn3oFWtYrjTJ2hhrNq3aqeXQSjW69qjbpijnKrU7Lm6Mmnjl9tXb9e9PwYALG/5EOGfiw81wwWWc lRrkEosnu9JpOVFms5Vtdt4MOnRH0Y1JyzWtlRjqOqA+v3wMaDVr2Ulds7RNO7cz3F10s/XtGbgC 3sJREQ95PHLxDsv94UnuEXpzTNKDTr+OPUL1iduza7ve3bsl8M6nhxc/3jz6j+cRtl8PH917gfPj yyNvn2H9fvtnN/9P3B8/AZKB3YD5qfbfgQrqZWA8DS5oRYEQ0odfLQ/Kh8SF52gIjHoTdiXhh/xV KGKJr5FoIoYeJsPhYCgG06I4T8WYIo3c2JiiMSHmyCNURPUIJC04WjNkkN28uJuRPSHJTJFJGulk b0wq2eSUVF6JpS5ZErnjlstE+eU7YIK44oZW5jcmZWd66WOZbL552Ydpwjlcl3T+MmcxefYC4Z54 kpmgf4EKaOedvvh5qKHIINqmoo5q6eajQq4paWuUmhmpBoUSeqlwjCKVaaWsfGqhqI6ZimqqK4Wq KiekTtrqqJ2u8+ozdbI64qyxDlKrrbsap+uvwgKF67CmBGtsXsX/5jpor7A4y6eH0K4yrZrIJvtG taNoqyS3iGEL7pHLhvvcteSa4a2r7OGX7ibtShnouybKSwm9NW56br767puaufzyNO6/6OKbkL3+ GOwIwtoRLPAaCh/bcJwBR0wxaQ9PeDGvFZc78cZQAJFxehyFDCnJElvXscdRmMyxymywnI7L+sIs c0E0K1vzwP7KuOPN2Y5Mos8vA51yzkcI7bDRaSB9n9LhMt200zMNKrUcO2cDtc7KLQdz1mMI4nVu YYsxdnFlW101gmmvXdjZaLNd0tVwL9yA2wBTiKvdd3Na9NzwyO23Q4AH7qXecRMuxeCIl2Y2oFx3 2Lcyhq+8eIaK/1cu6OOYYzv55rJG7jmxVJvTeeLwjv5N6aaHvtTlrN8K+uuyz96267QzF3srqlvO Tu7A+r615tHsfvTte9luvO3ES5b838A3r+nz5aH+I/WnSt/88sxDb6313IOrfQ/hhzb+Wd9H672l yDu1ftTCny849vDPbzP9msmffft7e0q2/h8zbL/fpC+AAmzc0gh4L/wlr3ytg9gA1fY+SClwdgxs IAIxJrILYnCCt6tgbOLgQR0tIoTHGxoHZUfC6mmQcCl03gozx79dxaiFOQCQ/zwHm8nQ8IXb090O 0cfDut2QdT/snvnMU8S0JFElQSxgDCW3xPs1UYgnfCKXkAhEK/dOMQVY3OIKo+gQMJIlh5DZhhht oUFVkJExZ6RKG++hkTemwotOBA7Ihggj8MhRO3usDR6rVEUU9nFJI1lN5+Q4DEQOciiLJJBYGllI Op6hbRZZo0wsaTxMUpKNf9ycJt0jPuK98ZCfZF9tFgnJOtLRHQWrDCsLJskgIDGVTqHlJGNZlFIK SZdn4eWzfBk6YHImR688lIaKmSgq1UqYb/sSM/+DzEo8Ux7RlGYsq/k7Qm5rmgc6xTi4OUJwLgWb lSJnhHAnIHEy0ZYHW8HhemJOGQVCnauCJz0NVQVvpsIN+hzZPON5BiEAVGk7KEI/lSjQgh4UJgUA ADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image141.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCwAnAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMAAQAF ACQAgAAAAAAAAAIdBGKGuZr3GmSx0uvwzHx7CVpdqJFZgKbqgSrtaBQAOx== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image142.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABi ABwAgQAAAJaWlsz/zAECAwJijI+py+0P4xK02ouz3rz7jwXgSJZmKZ7qyoJpC8ftK9f2R9/6XuX8 X/MBhywh8YhCKlXGpVPTfEp70yrUirVEs8ot9+j9DsPiH7m8O6Nv6nXQ/WzDYfJ50d7FIyX8vv8P WAAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image143.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABj ABwAgQAAAJaWlsz/zAECAwJnjI+py+0PYxO02ouz3rz7jxngSJZmKZ7qyoJpC8ftK9f2R9/6XuX8 X/MBhywh8YgKIJcqI/OpcUKnPSX1mpFin9rtsus9gsPDMflnPu/S6hu7HbTCufL5t24X4/PlPR8t ESg4SFhYAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image144.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABj ABwAgQAAAJaWlsz/zAECAwJnjI+py+0PYxO02ouz3rz7jxngSJZmKZ7qyoJpC8ftK9f2R9/6XuX8 X/MBhywh8YgKIJcqI/OpcUKnPSX1mpFin9rtsus9gsPDMflnPu/S6hu7HbTCufL5t24X4/PlPR8t ESg4SFhYAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image145.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABi ABwAgQAAAJaWlsz/zAECAwJflI+py+0Powqy2osvzbx7uX3i+IXkiUZmyrbH6sYnLNcebeeaznN4 D2T8gsRX8ShEKhHDJa/pzEGjtSk1Zr22stoUtzsDB79iEbl8Qz/VujMbE4jL5/S6/Y7P6/f8ewEA Ow== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image146.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABj ABwAgQAAAJaWlsz/zAECAwJnjI+py+0PYxO02ouz3rz7jxngSJZmKZ7qyoJpC8ftK9f2R9/6XuX8 X/MBhywh8YgKIJcqI/OpcUKnPSX1mpFin9rtsus9gsPDMflnPu/S6hu7HbTCufL5t24X4/PlPR8t ESg4SFhYAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image147.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABj ABsAgQAAAJaWlsz/zAECAwJhjI6py+0Po1zBzIuzxnX7D15dSJbkaKbqhK7um7TwrMr0Hdr4run8 L/EBhw0h8YgwIo/K5bDp/EGjuyn1Zr3OstoXt7v6glPicalszlnSQDTb4373KvS6/Y7P6/f8vl9f AAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image148.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABi ABwAgQAAAJaWlsz/zAECAwJkjI6py+0Po1TBzIuzvnX7D05dSJbhaKaqhK7ui7TwnMr0Ddr4nun8 H/EBhwwh8XgwIonKJbDp5EGjuCmVZr3CsloXt6v6gk3iMalszlnSPzR743731vJb5Y7P6/f8vv8P GNhXAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image149.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABi ABwAgQAAAJaWlsz/zAECAwJflI+py+0Powqy2osvzbx7uX3i+IXkiUZmyrbH6sYnLNcebeeaznN4 D2T8gsRX8ShEKhHDJa/pzEGjtSk1Zr22stoUtzsDB79iEbl8Qz/VujMbE4jL5/S6/Y7P6/f8ewEA Ow== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image150.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABj ABwAgQAAAJaWlsz/zAECAwJnjI+py+0PYxO02ouz3rz7jxngSJZmKZ7qyoJpC8ftK9f2R9/6XuX8 X/MBhywh8YgKIJcqI/OpcUKnPSX1mpFin9rtsus9gsPDMflnPu/S6hu7HbTCufL5t24X4/PlPR8t ESg4SFhYAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image151.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABj ABsAgQAAAJaWlsz/zAECAwJhjI6py+0Po1zBzIuzxnX7D15dSJbkaKbqhK7um7TwrMr0Hdr4run8 L/EBhw0h8YgwIo/K5bDp/EGjuyn1Zr3OstoXt7v6glPicalszlnSQDTb4373KvS6/Y7P6/f8vl9f AAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image152.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABj ABwAgQAAAJaWlsz/zAECAwJmjI6py+0Po1zBzIuzxnX7D15dSJbkaKbqhK7um7TwrMr0Hdr4run8 L/EBhw0h8YgwIo/K5bDp/EGjuyn1Zr3OstoXt7v6glPicalszlnSQDTb43731nJcAFDJ6/f8vv8P GCg46FcAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image153.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhZAAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAABj ABwAgQAAAJaWlsz/zAECAwJmjI6py+0Po1zBzIuzxnX7D15dSJbkaKbqhK7um7TwrMr0Hdr4run8 L/EBhw0h8YgwIo/K5bDp/EGjuyn1Zr3OstoXt7v6glPicalszlnSQDTb43731nJcAFDJ6/f8vv8P GCg46FcAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image154.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhPAA8AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAA6 ADsAgAAAAP///wI+jI+py+0Po5y02ouz3rz7D4biSJbmiabqyrbuC8fyTNf2jef6zvf+DwwKh8Si 8YhMKpfMpvMJjUqn1Kr1UgAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image155.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhOAAXAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABAAx AA8AgAAAAAD//wIzhI+pq8EPIwxU2ruoxtzq34XZBybkiabqiqzuCztATNf2XRv4foqi6vOhgkES kbg5Ii8FADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image156.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhrAACAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQCq AAEAgAAAAAAAAAILjI+py+0Po5y01gIAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image157.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhJgB0AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAgAAwAd AGsAgAAAAAD//wLVhI+pF7EPWWuxymnrxBlu13lbKHKk8p1oqiJse1FwDM5fDd+z8drjDui1dDui z3SUFX9JZU6ogkaZTaDxicQ6tTiuVUoCh6neJXl6PolD607bch2+NWl1fZxF5+17/lbeh/fnNyjY BVhoCBR05zYX8QjZ6BhIWZkRp3eouRj5kEm4qfh1iTkJ57mQqnqKWuqaaBlr+kpXK3lbMgu7a9vr KzraFCxLTPuLi6xrzMsM7Jxw07oiDU1dfYs9zaOtzIitufoNeizObX6ey6q+bm27yA3Ps1gAADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image158.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhJQBzAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAcABgAd AGsAgAAAAAD//wLYhBGny32RnJQwzmsqxFhb7ngfuIgjiZgnqK5c615wHM40Y2+sjbboU0kFfzgP sTg8ApNKoa7pvL2M0GjVWqVCtU3RlasEH8VE75b8Q/c0X3ZWvXOfmWF5117Hj/Vlftq/RrcHSAIX 93Qn2Ec4xdiImAc5KLmoGGh5KdXhuIlZaNjpeagpw1kq+kj5hxpKOgHa2mb6OktRW8N6mmt72wCr 68qrmhns+0u7K1xsnIzbjPQMvSwtO/zZS/0WXYLNva1gNmc9Wj3t/Z1xrFzOro0eZQ7eLf+eclAA ADs= ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0141_image159.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhPAAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAA6 ABcAgAAAAP///wIjjI+py+0Po5y02ouz3rz7D4biSJbmiabqyrbuC8fyTNf2zRQAOx== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0143.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Example: Mentions= of relevance criteria by searchers
 &n= bsp; 2
 &n= bsp; 4
    10 (1.4%)
Novelty
 &n= bsp; 0
 &n= bsp; 9
    11 (1.6%)
Duration
 10
 &n= bsp; 1
    14 (2%)
Comprehensibility
 &n= bsp; 0
 &n= bsp; 5
    16 (2.3%)
Audio/Visual Expression 
 &n= bsp; 0
 &n= bsp; 7
    24 (3.4%)
Emotion
 &n= bsp; 0
 14
    39 (5.5%)
Richness
234
219
  535 (76%)
Topicality 
Query
Form.
(N=3D248) =
Relevance = Judgment
(N=3D300) =
Think-Aloud
All
(N=3D703)
Number of Mentions
Relevance Criteria
Thesau= rus-based search, recorded interviews
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0143.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0143_image160.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhmAExAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQCW AS8BgAAAAAAAAAL/jI+py+0Po5y02ouz3rz7DwbASJbmiabqyrbuC8dyK872jef6zvc+XfsJh8Si K2hMKpfMZs7gjEqnJCT1is1qVdCt9yuzgsfksq5rTo/F6ra7jX7Lpey5/T6N4/fDOv8P2KMXSGjj V4iYuDKo2Jhy6BiJyCgpCVmJuUeZqXjJ+em2CUroOWq6Vnpql6raeiXqescaS8sEW/s2i7vbp8v7 5fsr/BQ8jFVsnPxyqwzc/CzEDJ2FPG0NIH2dp80dVt3dBy7Okj2u9G3+W55ehM6Ou/4eLc8eTy94 b26ffxbi/w8woMCBFPjRyeTOYIl9Cg0hbPiDIcQYCc1UbChx4rKH/xp3ZOxIjiNIHB9HPhJpckbJ lCYuknFpcCXLKihnLoNpEqczmxR1gvS5Bag8mTaFUuPZEykPo8eU3nR6piZUFERnMn01ldxVhVu3 ZeXSlV/YKGO7VWVZtklabWdTrl3y1lrbnFK/VombDq8Rvc/mjuRLBLAyvz/r2sUm2Kxhu4Q7Jo54 mOpjtou/NtY4GV/klpnlIiQIOrToBZthdPZY6HS/0hsxqabxmfWRynNek7Q9mLYc3IZ4G/MdJnVs 2SFdC3cNXFhy08crXZ64vHWg6Eeow9OdazhxLthDad9OtTuc7+BbildjXWv5k8ZJkV8/Iv2i5pbk x7LPfvp7+PjDu/9HDt8J/QlIXyTPQTSgef85l6ApDdK0YH0BKuhcgY4ciNF5aTwYH4efeJgeiB5y AqKFjWDIlYYW7bdeiREaOKKKspjYSYztVfjihTbiyCMgIk64kIwvsViei/oBCGR8Qq5BJHhG+tjk dk/+8WOS2CwJRpVJTsmHlkByqUmUxIGJh5cTkjkjkltiuRODVl55I5RqfsmmF2YGiOYqYsqWZ217 stbnbn+WFmh2c55ZZ1CDblaod4fimagWd/IX6VGPUhonlYtG1uh4l7ZYaVOfFhkqVqM6WSoVk4Ka aZebHtYpeq8ylqpXbloZ64azWlbrQadK2StZu2aV64rIjYZsssr/Lstss84+68CbxZaxKqmthvnr mME6US2q15Y57FTTDpktn9uqFS5U4zJZLqDn2pKuU+tmGa9S87YpIa7vwlUvUvfa2S9P/yraLqH7 nhNwUQcn0S2w36Z565oP61kwowvvlbBVF7eTMVobB9axWx+HUzGnI89TMqwnQ5YyrRP72TKvLwsa M7Er+yAitDrvzHPPPv+crLQ3axYxnTMbWjSiRzuaNKRLe9o0pj1qWrO4Qy8VMl1Py1q1ulej1rW8 X0cVtr1jP5H1X2eTlHZhW+tatr9r39Cwtm8bGzWrU7sat8BzO9S3wndT27Zjf6tUOGaHBxe4xoOT m7e1e2MbubeT/4PbuMePs1u5w5dDnK/En1PMINCmn4566qr/LPTm9GYusuv4wtj66DB3brftNONu ruwAw6617kiHbrTwTBOvtPFQI++08lzz7q7vBENvsPSSJg7d4hRhj6D2zAGvtvWWUm+x+KKSb7L5 pqKvsvqqcp+h+7YyL7UlNCaCYkzeS0e/3vbneKId/c95cGOfywiIt/5JboByMqDMEEg48LkNgpCr z+ouiMEManCDF6gdA6nmQJvJz1chtNoIhSVBw52QW/BL0QrRlULFvRBeMczeDPlVw+7dEGE5jB8F OadAy32QbyX02g4Z1kL9HRFjPXThD19XRLEtkWNNVOITZ6cjD/8a6H6TEOAWpwiyKoplf7MRYz4G dj0z3gON4wui54ZIOTfmDo6Yi6LZwEgyO8oNjyjTo9/4yDI/Cu6KvysdBw+JyEQqknX6AiTOkjhG RxJNjr0j5PQoGT1LplGQjtNkG2nXSE+eD5PVE+X6SFk+U75PjfRg4yhBKTo6gg6WxZMl6VCZPlXO j5bJs+XtcNk+XZIQmAf05e6I+UBjDo+XzVPm8ZhZvy8eiZOaEyYKqRk7a7KQlUMhI2y4+Q5XnhKa /pNmA5EpQm3CEJvBc+byyLlAc4LQgouspz3viU9/aPFCXEyNF/kpSayBsx7eLA47w6dOGh50gu58 HjpNmFAcLlT/hRHl4URlWFEkDjQvBZ3PRvXRUe58dBziXOVFbZhRJp5Uhyml4kp92NACPtSILQ3j S50Y0wTCU4jyJOJMpVjTPP70jkHt41D3WNRAHvWPSX3kSMVR0l1mMZQ5jeBNrVjVCu70jT2NI4zy CdawinWsCtjnifpJin+eNaBgu2okmzrJrc6xq3Vc6iCzCkS5VhKvULRrJ/mKxQCatRNonY5aCctW srn1jCHNj1+rCdhCPjabkb2kXjNZ2U1Otp10neVUY9nZW162lJn95GdrGdpfjjaVpX3laXuZ2mOu NpetHedrmxnbZd42mgCd5mYRWluT/pahuX3mbsvZ23PONpjBDJVqAMkK3ehKd4MFAAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0144.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Topicality
Total mentions by 8 searchers
Thesau= rus-based search, recorded interviews
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0144_image161.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAACC+1ZTWwbRRR+u7ZjO2l+aHpI3VJClJTIRcVUbagUIE4hDihUtVqDCukhJaRVUaEm BJdycqVKINSKXpCIcoKDJWgP6Q1xSk7h0AMHRIOKBBRVyTFUUU9E4b3dN+vnyXi9LlHVAxO97Mx8 M997b+bt7Nu1BQBnUSIsORsgY4FXpg8BNPYAdA4dzgBYkE8AHEQ8DFqhjhBAF2K/adBPZ8MwNhoC JICnUTpRkG6PlbZgJ9bbUKy2udukdoyFxp5AyfLYrnQYtjDfLpyn6t2i/mQ66tVTadvhde0sDoTT 4GEZtmEryuFjw0ch9tKrFjSAjf4tov8dUB67nevr6+uwjevNPJfqNulFiaF0lceum/oa2VdV1Bip Q+o28VUbuwtcu1V5Cw0bwQXt4TE4t/gUj1HbSxxU1BgLyr4Ttl3wV/N9D89R8fM6dg4LvVHU21Pm KZp8kvqlvVK/tKuWr2hHsVdwVrP9DYoTlBJKK0o/7b3l+lHCnn6bpMMqAUkr7Mb+nWL9ZDH5UI/v ETHWEvtczfdv2OYBtnkHx9Yf3F8rbklHn5gjORKWy9En2hLPaXhOw69o+BUNX9DwBQ237Erc0nzs 13C1b5u57vL+8os5FRM296vYKBaLng7CZDwqP1Tc1dqfav72CR693boJcWgHWA9532esh6NT+ff8 Ju17UJ20Py+wzgzve4v3DDmUVbGhnxNWlXOiV+hXZ7OKo+npyrPZFucAYUHOtDWUv2mMd6atYZuk Gc8zkjXHj228Nq4fQ1mzb5Zjs+S/RY987FwCxX8L2yRLWF9y2sH57Q323yD/kX/e47+BbZJ5rM87 7eD8IUpPKvgvo1xA/hmP/zK2SWawPuO0g/OHnVxD8p9CuY/8BY//FLZJClgvOO3g/BGHQ/Kn+WzM evxpbJNksZ512sH5G/Cvkj9BsYP8SY8/gW2SJNaTTtvE/yD3o63dG6b7keJ+M8+AenVWO/tDPvlA yOfsJ7uDnP007ijW85aLrajEjctVccAMwiScgZNOTv9gZdG+G3Vr1z+dTX3Mvat/tsPcnXagdhFl CttUVvCq1L+5dzZFe7KcWLRp/O1rkMpjvRvnkV+9v38LP/7V7sRZPWVd89e/tHu18ZUvvJUZywH8 +uLC+QtHFs7P7Wg8Tu8W3Wgj2RfD6/J9SFH/OwUnRCriQu7Z44bnrsy9JG7KqyRuyqskbsqrJG7K qyRuyqskbsqrJN6v4eqeq+b/12DOSyR+T5t/Dyrxmxp+U8NLGl7S8IsaflHDRzV8VMMPaPgBDdf9 98uzesr3duD3Hls7O+o9kx4lWzpqvD+SrhwLvc/sxo7v8Pocn3Nw9c7gteTdQYVR32uGs4FKlp9b ceY7zvkJzVs2cCrMrsG5D1njGu9jljuXvnXovAqrxbvfwDvCc08YeEcC8vYZeC/x3C8NvJcC8h7U eOkbzQ8892cDr8JCPrzE8yzyqn3T+VeZo8XeyL8amH9fVf69tsvxioFfYbX592/gf9j3YJDvP4+C LX5nQJ6/Q/6D8hW/s8j9UFiDz35QrB+Bt+FdmIBxmHL442xrnP0Ks77PUF5G+YX1LUGlPoU1+ugb c7jOwHuorxMz4UnMu6geZz3NrDfMPBFuN4s4/J7XYpbtmNfsUNhWHzvyjt+TcBr1v4/2fILXKbye w9YzMIzIOfgIV3iLsEGuR1TYGdYwOScm7KY8cALlc7Z7RrNbYVEfuykHO4aWlXcMoEnoMe3bdZQn WDfpLWh6Fdbmo5diaQhnTuD6TOEKDaE3eWxR5kx94/i/SaxLTKyN7I/z2sg1k2tEej6gb3Rsa1az VWGRGjGdRaaTjlWu/pBhPygGTvM9SbqSmi6FNdTURevwoRM7TcLHmND5//nmb0tYfH+2tfXqFfzV bIxz/Creen4n+C+/MWScvMR9X6XfXJJpfEfyfC0O8KtfUdbVt4Q2nmOL31laOO8Dxqn+L8sP9ehw GgAA ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0144_image162.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhFgImAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAUABgAM AhwBggAAAAAAAICAgJmZ/////wECAwECAwECAwP/SLrc/jDKSau9OOvNu/9gKI5kaZ5oqq5s675w LM90bd94ru987//AoHBILBqPyKRyyWw6n9CodEqtWq/YrHbL7Xq/4LB4TOYFzmeBes1uu9/wuHxO r9vv+Lx+z+/7/4CBgm9lUAE6h4iKOIk5jTePNwKFTpE1lpeLkDuYM50zk5RMnzGkpZo2pjCqLqwu oaJKriyztKiZt7g5sLFItSq/wLmenMM0vL1GwSjLzManz9C7yUnNJtbX0S/YJdwj3iPI1EPgIeXm 2q3Fjjvi40HnH/Hy6S3zHvcc+Rzu7z9oAAMKHEiwoMGDCBMqXMiwocOHECNKnEhRIox+/noEGMCx /6PHjyBDihxJsqTJkyhTqlzJsqXLlzBjyly5DwJGagIdzdzJs6fPn0CDCh0Ks+aDm8kiGbWwkajT p1CjSp1KVeTSBkh7KWUAcMGhMwTQcBWr4CtYCk2rql3Ltq1bqlcZZI21tSzXsoka5b0bVi/at4AD Cx5M2OrFjA3qhuXrNzFjvhLSFp5MubJln3EXzBWV02tAu54bg36kSvLl06hTq+6YWcFmSp8wyQY9 GnIE06tz697NtjWB14ViP5i92Cvt4pF5K1/OnKhv4GWEG0femPTx0s2za9/e8jli2w66Xj+Ll7z1 Cbi5q1/P3ft3eOzjy8/u/v2/+fjzr65vX2PF//8ABijggAQWaOCBEx3Wnw++RbYOI+zUY087CzIo 4YQRbnLhCg1KAF2FtmQIoYi6jGgiDh+CKAyJqWyYQoe3uahCiio6w2KJLZ6ooY420FhjNjfSAONw QRJTpAw+/kjCkOE9uGOOR65CoZJPQsmjkFFKmeULSVKJzpbqgMmhk1ZK4qUMn4kZ4pVokoljj2e+ iaWMNlZZppzHxDknm0byqaWaK06jZ5uABmpnn37+ieKghCaq6J2IHhopnIw+iueke0KaqaagVGrp ppxKE6qooyroKYaObkMnkIXWueipqEqK6ayklhqmoLByiOCuvPbq66/AAjtlrsDoZ+yxazHpQJf/ xP6F7LPQOjfsj50dd0J60WarrUvKYuWlYkthu+245JLUrVzfOjYaWeUlxm5y5cYrr2E6MBucuoud J9p58M7r77znapYuZJbs1eR0/f6r8LgBu/ZtmrSJJxvEty1s8bYN/zYwkdRZ6zF6F4cMbcb2Rhej vhxfIK7ILKtH8sZN6mVwxwhX3PLN8r1MpXRiyazUuzbjLHR70zZ7zdBIa6ez0dcm7fRySzPdTbBU V2311Vj/WrTUIjScsdetumrrK1yzKmujZ6u6qtlmlr3k2mxf+imodOfp9jdwd5N3127W3endfId9 7d5fCq53vYAHnuqtaTPeuOOUJk6P4YcvPibh/4W/Kjk+mGc+9uWU44345hpQ/Pmaj6OeuuqRk74B 2J1PvjrrfiPpegewh6746aDPvkLJgOduee9y11p7DMDfLbzvL+q+O+8z3q5P7LIzPzj1uG8tfQXL Qy/28XOj3fb2GHRfvNrWfw8+l+RnYP76sZ6PfvonJO/2+7QaL7731+PaPvdZC6AAB0hArMVodP/j 3tMWSBnp+K8U1creXQZSuVUw8IKDcaDm9geCrWRsSRgM4Vs0OD4OIscu4skXWCT2MeuYhTTsMgt1 YtgXn7mLPAkToQ6nQsLW6e9njPELyjiWl+oEcTr6EiLC+BW0HToRKj2sgf3KVy0lInGCQUyTwf+G WJsrehGFKTshBFb2xDLyJIp2o5UQtYjFiN1GNMXpTBJZaJyJpbCJZswjZg74wPDlq4VtpNlw4Dgz 2xSyZl8JowL1yMieoPFv+UukGK8jyE5s8TEH6yK+/phJpjTykzN5pO2OR0hKFtKS6/piHDGpSU4K cpLhAaUsXyJK5F0igidMoQvfRUEX1nAs5iEYDZGIwxqygoyzTCZIamkqzvhCmdA8CTPZp5VnRvOa 9FKkD+91hAJ685vgDGeCxqi9BGoTfvGTH+3QSbxtmvOc+dOfCeU5T3ra8p3owZ4Eh9c8fb6unPis Gf/6R7+3+bN0AA0oLOPpx4ZCTp3rhKRCOzn/0Lixs5/O62BCA4q/ejo0nRBtpxQnSs6MatSk++Qn RjdIUoGGVKQMBelFV1rCiZrupYaqqOhQmtKatnShHv2oTO0p1IiO8qcunSlNcUrQghq0jy3tKFEf GtT56ZQEU+SaVIsK06lStapkQ2pSY/pVr3YVrEa9p1iBata0WlWp6iNrC7Iqta2+Fa4VdOpOWfpT u5aVq0tlalPdSVJxGvawBnFf3+TKAroyDZnY3KPKFovWxtrnppscKx9zGFlpTfagikVgRhQDz9CC rLNQLB9l2/q794ALi8M0JjDLYwrIojaUqgVtbqGKk83KsItcPOQYb/uUWnxNtxhw7BSAlsvm/65S lR+LJXE9y5TVAjZ6C4qtK58rR4oOd7pDMa5175rG7CLSucKd5DHBG97dqjSuEvXHa+uISeKA57vs BYp4kVtd0coXXzLrixeDG93E5Dco++Xp9Pwr3zv+MpGxvWMMiyndA0u2vwr+J4NPlQ/bWlglCX7v YEdqtA5/+MLcG+9fm8nhfSD2xTCmsIP4m+INF5bGNRZxXq/6PMLaFMdoAfJm9dpjEq/Vr0NlLXwr m1MfKxTJbl1xkpW8ZLWKFcpnve6I8bpjI19ZyDPW8VPFPGafRhXMQxZsl7lcZidzFM0lJXOR2bxX M+MTs4zNMnmpXOU9H/XLGdawnD3HY0J7Gf+pWG4ynQ29aEbHt69wLi2f15znwJYX0ZH2bqOrR2RH /xnTgUZoqD87alLz9cylNnWhOb1qVh8a0qnGcKddvWlaPxrVg54zk/vsZy2jQLnNSrSld73lSvM6 rEeOcdYm3WY1U/rTfW1ZgwJ23FhXANjG7HBom1FE5tJC2syuc6s5Z+M6n4sbktQsM8Dt62eHW9yv bvZeVrjC0Kxxi1okC8V0+UswHkyG/L6ityscsmlbO8gHn4ByiXOWAKPXiqzk7nkFXBtSNDziRVR3 Wdjdayl7PMrIHvHMmKjKdEf3kpREL1tLqXKNh4XjH1d0rcnN2yKP3JD6DqS16MhyX+Yy5yn/5yJb N84yg+fa0+02wcKJOHGa+XznA564zxkudYw7S2RGn/VJjw6Cpf+76iV3btDdGPb03jzsYsejxbI+ bppr/QPAnu8MI3bKV879uS3HC3j2xcqGwxG/BX830pPe7EtfS8KztWHdu63vesvW3oj8GS+BCUNJ vnCRWBf81rnudju3vQi/8DDDNG9rYhcb2oj6YMcNXHTSd/7zgj61JwbOhdAr24CE17XpLWp4XL/9 9TNfcMLTHO8bD5/4xuZ98pWPeuNzHvjLL3z0pd/8Hx8/zr+Pffa17+Y7ZzqzzoZ38IUve+s/v6fh 173roX9r52+f++MX9fU13Xv3wx7+01d//+71T80jf/++8Wda54d/7fdOeLZ7zLd/m/d+Auh5T/Z/ Lhdzw4aA1GdloDaABLh+5MeA7uWAbzZ/9EeB/CeBE2iBsIaB8seBsqaCK9h9BgiBBaaBGSiDM8hi J8iCLRiAHXh/DeiC5iRsxwZyerZ6U2aDvseDPaiDqoaES1h85oeDOQaFYYaCO+iET3Z7DLGB6Td4 RCiElrVWL8ce3AaB1UaFyWUFvdQ1uLQN8TGGIBiBJBiEX3gF2qYTYqiFSpiDeaiHBWgIBCNgvORt qERvwUSIN7Red1iDcZiACriAPrgE/OJ3rVQwY1R3FHdxKcdZSoOH+ceFi8iI/YeGf0h2JP+XbX/3 RXzncqK3H5wogp5YhJ+odFkQiUtEWxSGSpRHdjPkYMPRhq1Ig0m4h1HogZUwik6XT2FkRLoYer6o iLDohUP4jHM1i8aojMjXc7UYg72YiCnIhMPojd9ohU9Ai6R4X7h4d6mYdoBHNM4IjXIYje6YAthW IunoM/a1ST2zjLl4dS7zi43Ifq74inN4Zc3YjVvoiAeJkPVnUwUZjAFZesDokNV3hVioEP7YhTLX iQLZWmAIhKf3j+iXkBBphPYnkiMZi+KnkQrZhx9ohk2okgAZkVW4kA/4hgAIkyEpjAhXczXpknwo kz8JlEFJkk8IjuGIkxeJkRk5kS0phcj/6JNPCZVRSYwvaJNwGI+giJIpyZT/c4BCOZRauZFLCZIe MI+w4pFZiZXuRpZJGXIX6JRTaJRxKZdzKY7eZ5XaqJTvOJZ6KY9gOHR9uZeCmZZquZah+JZ0WZdI 2Y6FWYFE2ZNwiXwPGZNsyZgc6X94CZhhuZKTSZmHeYOJKZlfOZWhKWkmeIQm6ZnSyJeBSZiXeWW3 15hb2ZquWYKPyVGsCI+6aZu06ZifmV0BB36kuY2pcRVoOZuVaZB2+V8Rl5OsV5yyOYK7yZqr+Zrm FTP9touVR1unBZ3TOZiGuZmceZquRSTBhHd4l14EdxrGSYYqVp3YBSKzMURCl5dh6J3U/xmd45mc Ekme3zGf9cVGwrmel9GeVlmGkWkTNQKgUeddiIifvAmfH8mfM8mSzOkY9KlND4oaBiqVojmaw0mT iFEX52mJ1qiJldGhCTqgi2mZ8akiEHN5dIdDE1ZbuZmf31mbEaqfIWCW3NQNN7qjORqeEjqhv+kp JqYaKlqaLNqZzsmVD8MMsTmkRIqjVOqbbgmaqfmkFAqW4nmSWYqaOrmTK3qTLaqcInqXHqqYTuqi QmqlL4qYW9qWPKqaRaqjv/aXx4mldcqlXeql09iRMKiZd8qnfeqnR1qUc+qmRnqoiFqoJeCjSDqo eyqWb3qpfimomVmp+9mbyJmoP1iRov86qqRaqgghqZXCqZbaqFdqqHCKqdKjqp0KqdLpqIzKql1J qe4Jgwgqp2Maom2Kpmfan3/6l8Z6rMiarMq6rMzarM76rNAardI6rdRardZ6rdiardq6rdzard76 reAaruIaGbQHDIEoY6jDi+Zaea2hS+VaZhL2rpwWr+jKaOxalfY5Zpa4DSy3JvtqKCZnnEz0r0sy sJlYsIPUdO1Tir1DsGPSr4rGsGYTsA9rSAeLNwarjuhAiRBLPhIbJh8LJB2rPiG7VxSbrlYHXw77 PGeXr8pjphhSsgY1soOjXZlBRy7rdkJXEzwDs53XsoT6slfJKjKrODR7DScaF08XtDq2m7JbdrSb l45MWzZFS1BVWz1Qq68X6yon27BOa1EZS7TGOLVa5bNic7X40F1Dm1IrO7Eaa7Vfu2Ok5WL2BnQ5 S7VmGzdoa7R5G7VbC7d7S347S1OUuLYvmbWko6664q71CrDy+g3n2q41erOHuI9cG6OPy4n3Oq6c 27me+7mgG7qiO7qkW7qme7qom7qqu7qs27qu+7qwG7uyO7u0W7u2e7u4m7u6u7u827u++7vAG7zC O7zbkwAAOw== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0145.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
Summary
<= span class=3DBB style=3D'position:absolute;left:-3.85%'>•Qualitati= ve user studies suggest what to build
<= span style=3D'visibility:hidden'>•
<= span class=3DBB style=3D'position:absolute;left:-4.18%'>•Design de= composes task into components
<= span style=3D'visibility:hidden'>•
<= span class=3DBB style=3D'position:absolute;left:-3.52%'>•Automated evaluation helps to refine components
<= span style=3D'visibility:hidden'>•
<= span class=3DBB style=3D'position:absolute;left:-3.55%'>•Quantitat= ive user studies show how well it works
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/slide0124.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation
One Minute Paper
•If I demonstrated a = new retrieval technique that achieved a statistically significa= nt improvement in average precision on the TREC collection, what would be the most serious limitation to consider when interpreting that result?
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/master01.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
Relevance judgments did differ for some topics.
Quantify differences using overlap: overlap scores generally higher t= han most
previous studies.
C= entral limit theorem: no matter what the distribution of X, themean of the Xi has a normal (Gaussian) distribution.
T= his distribution is the “bell curve” you see so often, and it has a lot of nice mathematical properties.
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/master03_stylesheet.css Content-Transfer-Encoding: base64 Content-Type: text/css Ym9keQ0KCXt3aWR0aDo1MzRweDsNCgloZWlnaHQ6NDAwcHg7fQ0KLlRCDQoJe21zby1zcGVjaWFs LWZvcm1hdDpub2J1bGxldFwyMDIyO30NCi5UDQoJe3RleHQtYWxpZ246Y2VudGVyOw0KCWZvbnQt ZmFtaWx5OiJUaW1lcyBOZXcgUm9tYW4iOw0KCWNvbG9yOmJsYWNrOw0KCW1zby1jb2xvci1pbmRl eDozOw0KCWZvbnQtc2l6ZToyMDklO30NCi5CQg0KCXttc28tc3BlY2lhbC1mb3JtYXQ6YnVsbGV0 XDIwMjI7DQoJZm9udC1zaXplOjEwMCU7fQ0KLkINCgl7dGV4dC1hbGlnbjpsZWZ0Ow0KCWZvbnQt ZmFtaWx5OiJUaW1lcyBOZXcgUm9tYW4iOw0KCWNvbG9yOmJsYWNrOw0KCW1zby1jb2xvci1pbmRl eDoxOw0KCWZvbnQtc2l6ZToxNTIlO30NCi5CMUINCgl7bXNvLXNwZWNpYWwtZm9ybWF0OmJ1bGxl dFwyMDEzOw0KCWZvbnQtc2l6ZToxMDAlO30NCi5CMQ0KCXt0ZXh0LWFsaWduOmxlZnQ7DQoJZm9u dC1mYW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7DQoJY29sb3I6YmxhY2s7DQoJbXNvLWNvbG9yLWlu ZGV4OjE7DQoJZm9udC1zaXplOjEzMyU7fQ0KLkIyQg0KCXttc28tc3BlY2lhbC1mb3JtYXQ6YnVs bGV0XDIwMjI7DQoJZm9udC1zaXplOjEwMCU7fQ0KLkIyDQoJe3RleHQtYWxpZ246bGVmdDsNCglm b250LWZhbWlseToiVGltZXMgTmV3IFJvbWFuIjsNCgljb2xvcjpibGFjazsNCgltc28tY29sb3It aW5kZXg6MTsNCglmb250LXNpemU6MTE0JTt9DQouQjNCDQoJe21zby1zcGVjaWFsLWZvcm1hdDpi dWxsZXRcMjAxMzsNCglmb250LXNpemU6MTAwJTt9DQouQjMNCgl7dGV4dC1hbGlnbjpsZWZ0Ow0K CWZvbnQtZmFtaWx5OiJUaW1lcyBOZXcgUm9tYW4iOw0KCWNvbG9yOmJsYWNrOw0KCW1zby1jb2xv ci1pbmRleDoxOw0KCWZvbnQtc2l6ZTo5NSU7fQ0KLkI0Qg0KCXttc28tc3BlY2lhbC1mb3JtYXQ6 YnVsbGV0XDIwMjI7DQoJZm9udC1zaXplOjEwMCU7fQ0KLkI0DQoJe3RleHQtYWxpZ246bGVmdDsN Cglmb250LWZhbWlseToiVGltZXMgTmV3IFJvbWFuIjsNCgljb2xvcjpibGFjazsNCgltc28tY29s b3ItaW5kZXg6MTsNCglmb250LXNpemU6OTUlO30NCi5OQg0KCXttc28tc3BlY2lhbC1mb3JtYXQ6 bm9idWxsZXRcMjAyMjt9DQouTg0KCXt0ZXh0LWFsaWduOmxlZnQ7DQoJZm9udC1mYW1pbHk6IlRp bWVzIE5ldyBSb21hbiI7DQoJY29sb3I6YmxhY2s7DQoJbXNvLWNvbG9yLWluZGV4OjE7DQoJZm9u dC1zaXplOjU3JTt9DQouTjFCDQoJe21zby1zcGVjaWFsLWZvcm1hdDpub2J1bGxldFwyMDIyO30N Ci5OMQ0KCXt0ZXh0LWFsaWduOmxlZnQ7DQoJZm9udC1mYW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7 DQoJY29sb3I6YmxhY2s7DQoJbXNvLWNvbG9yLWluZGV4OjE7DQoJZm9udC1zaXplOjU3JTt9DQou TjJCDQoJe21zby1zcGVjaWFsLWZvcm1hdDpub2J1bGxldFwyMDIyO30NCi5OMg0KCXt0ZXh0LWFs aWduOmxlZnQ7DQoJZm9udC1mYW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7DQoJY29sb3I6YmxhY2s7 DQoJbXNvLWNvbG9yLWluZGV4OjE7DQoJZm9udC1zaXplOjU3JTt9DQouTjNCDQoJe21zby1zcGVj aWFsLWZvcm1hdDpub2J1bGxldFwyMDIyO30NCi5OMw0KCXt0ZXh0LWFsaWduOmxlZnQ7DQoJZm9u dC1mYW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7DQoJY29sb3I6YmxhY2s7DQoJbXNvLWNvbG9yLWlu ZGV4OjE7DQoJZm9udC1zaXplOjU3JTt9DQouTjRODQoJe21zby1zcGVjaWFsLWZvcm1hdDpub2J1 bGxldFwyMDIyO30NCi5ONA0KCXt0ZXh0LWFsaWduOmxlZnQ7DQoJZm9udC1mYW1pbHk6IlRpbWVz IE5ldyBSb21hbiI7DQoJY29sb3I6YmxhY2s7DQoJbXNvLWNvbG9yLWluZGV4OjE7DQoJZm9udC1z aXplOjU3JTt9DQouT0INCgl7bXNvLXNwZWNpYWwtZm9ybWF0Om5vYnVsbGV0XDIwMjI7fQ0KLk8N Cgl7dGV4dC1hbGlnbjpsZWZ0Ow0KCWZvbnQtZmFtaWx5OiJUaW1lcyBOZXcgUm9tYW4iOw0KCWNv bG9yOmJsYWNrOw0KCW1zby1jb2xvci1pbmRleDoxOw0KCWZvbnQtc2l6ZToxMTQlO30NCi5PMUIN Cgl7bXNvLXNwZWNpYWwtZm9ybWF0Om5vYnVsbGV0XDIwMjI7fQ0KLk8xDQoJe3RleHQtYWxpZ246 bGVmdDsNCglmb250LWZhbWlseToiVGltZXMgTmV3IFJvbWFuIjsNCgljb2xvcjpibGFjazsNCglt c28tY29sb3ItaW5kZXg6MTsNCglmb250LXNpemU6MTE0JTt9DQouTzJCDQoJe21zby1zcGVjaWFs LWZvcm1hdDpub2J1bGxldFwyMDIyO30NCi5PMg0KCXtmb250LWZhbWlseToiVGltZXMgTmV3IFJv bWFuIjsNCglmb250LXNpemU6MTE0JTt9DQouTzNCDQoJe21zby1zcGVjaWFsLWZvcm1hdDpub2J1 bGxldFwyMDIyO30NCi5PMw0KCXtmb250LWZhbWlseToiVGltZXMgTmV3IFJvbWFuIjsNCglmb250 LXNpemU6MTE0JTt9DQouTzRCDQoJe21zby1zcGVjaWFsLWZvcm1hdDpub2J1bGxldFwyMDIyO30N Ci5PNA0KCXtmb250LWZhbWlseToiVGltZXMgTmV3IFJvbWFuIjsNCglmb250LXNpemU6MTE0JTt9 DQouQ0JCDQoJe21zby1zcGVjaWFsLWZvcm1hdDpub2J1bGxldFwyMDIyOw0KCWZvbnQtc2l6ZTox MDAlO30NCi5DQg0KCXt0ZXh0LWFsaWduOmNlbnRlcjsNCglmb250LWZhbWlseToiVGltZXMgTmV3 IFJvbWFuIjsNCgljb2xvcjpibGFjazsNCgltc28tY29sb3ItaW5kZXg6MTsNCglmb250LXNpemU6 MTUyJTt9DQouQ0IxQg0KCXttc28tc3BlY2lhbC1mb3JtYXQ6bm9idWxsZXRcMjAxMzsNCglmb250 LXNpemU6MTAwJTt9DQouQ0IxDQoJe2ZvbnQtZmFtaWx5OiJUaW1lcyBOZXcgUm9tYW4iO30NCi5D QjJCDQoJe21zby1zcGVjaWFsLWZvcm1hdDpub2J1bGxldFwyMDIyOw0KCWZvbnQtc2l6ZToxMDAl O30NCi5DQjINCgl7Zm9udC1mYW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7fQ0KLkNCM0INCgl7bXNv LXNwZWNpYWwtZm9ybWF0Om5vYnVsbGV0XDIwMTM7DQoJZm9udC1zaXplOjEwMCU7fQ0KLkNCMw0K CXtmb250LWZhbWlseToiVGltZXMgTmV3IFJvbWFuIjt9DQouQ0I0Qg0KCXttc28tc3BlY2lhbC1m b3JtYXQ6bm9idWxsZXRcMjAyMjsNCglmb250LXNpemU6MTAwJTt9DQouQ0I0DQoJe2ZvbnQtZmFt aWx5OiJUaW1lcyBOZXcgUm9tYW4iO30NCi5DVEINCgl7bXNvLXNwZWNpYWwtZm9ybWF0Om5vYnVs bGV0XDIwMjI7fQ0KLkNUDQoJe3RleHQtYWxpZ246Y2VudGVyOw0KCWZvbnQtZmFtaWx5OiJUaW1l cyBOZXcgUm9tYW4iOw0KCWNvbG9yOmJsYWNrOw0KCW1zby1jb2xvci1pbmRleDozOw0KCWZvbnQt c2l6ZToyMDklO30NCi5IQkINCgl7bXNvLXNwZWNpYWwtZm9ybWF0OmJ1bGxldFwyMDIyOw0KCWZv bnQtc2l6ZToxMDAlO30NCi5IQg0KCXtmb250LWZhbWlseToiVGltZXMgTmV3IFJvbWFuIjt9DQou SEIxQg0KCXttc28tc3BlY2lhbC1mb3JtYXQ6YnVsbGV0XDIwMTM7DQoJZm9udC1zaXplOjEwMCU7 fQ0KLkhCMQ0KCXtmb250LWZhbWlseToiVGltZXMgTmV3IFJvbWFuIjt9DQouSEIyQg0KCXttc28t c3BlY2lhbC1mb3JtYXQ6YnVsbGV0XDIwMjI7DQoJZm9udC1zaXplOjEwMCU7fQ0KLkhCMg0KCXtm b250LWZhbWlseToiVGltZXMgTmV3IFJvbWFuIjt9DQouSEIzQg0KCXttc28tc3BlY2lhbC1mb3Jt YXQ6YnVsbGV0XDIwMTM7DQoJZm9udC1zaXplOjEwMCU7fQ0KLkhCMw0KCXtmb250LWZhbWlseToi VGltZXMgTmV3IFJvbWFuIjt9DQouSEI0Qg0KCXttc28tc3BlY2lhbC1mb3JtYXQ6YnVsbGV0XDIw MjI7DQoJZm9udC1zaXplOjEwMCU7fQ0KLkhCNA0KCXtmb250LWZhbWlseToiVGltZXMgTmV3IFJv bWFuIjt9DQouUUJCDQoJe21zby1zcGVjaWFsLWZvcm1hdDpidWxsZXRcMjAyMjsNCglmb250LXNp emU6MTAwJTt9DQouUUINCgl7Zm9udC1mYW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7fQ0KLlFCMUIN Cgl7bXNvLXNwZWNpYWwtZm9ybWF0OmJ1bGxldFwyMDEzOw0KCWZvbnQtc2l6ZToxMDAlO30NCi5R QjENCgl7Zm9udC1mYW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7fQ0KLlFCMkINCgl7bXNvLXNwZWNp YWwtZm9ybWF0OmJ1bGxldFwyMDIyOw0KCWZvbnQtc2l6ZToxMDAlO30NCi5RQjINCgl7Zm9udC1m YW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7fQ0KLlFCM0INCgl7bXNvLXNwZWNpYWwtZm9ybWF0OmJ1 bGxldFwyMDEzOw0KCWZvbnQtc2l6ZToxMDAlO30NCi5RQjMNCgl7Zm9udC1mYW1pbHk6IlRpbWVz IE5ldyBSb21hbiI7fQ0KLlFCNEINCgl7bXNvLXNwZWNpYWwtZm9ybWF0OmJ1bGxldFwyMDIyOw0K CWZvbnQtc2l6ZToxMDAlO30NCi5RQjQNCgl7Zm9udC1mYW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7 fQ0KLlRibEINCgl7bXNvLXNwZWNpYWwtZm9ybWF0Om5vYnVsbGV0XDIwMjI7DQoJZm9udC1zaXpl OjEwMCU7fQ0KLlRibA0KCXt0ZXh0LWFsaWduOmxlZnQ7DQoJZm9udC1mYW1pbHk6IlRpbWVzIE5l dyBSb21hbiI7DQoJY29sb3I6YmxhY2s7DQoJbXNvLWNvbG9yLWluZGV4OjE7DQoJZm9udC1zaXpl OjEzMyU7fQ0KLlRibDFCDQoJe21zby1zcGVjaWFsLWZvcm1hdDpub2J1bGxldFwyMDEzOw0KCWZv bnQtc2l6ZToxMDAlO30NCi5UYmwxDQoJe2ZvbnQtZmFtaWx5OiJUaW1lcyBOZXcgUm9tYW4iO30N Ci5UYmwyQg0KCXttc28tc3BlY2lhbC1mb3JtYXQ6bm9idWxsZXRcMjAyMjsNCglmb250LXNpemU6 MTAwJTt9DQouVGJsMg0KCXtmb250LWZhbWlseToiVGltZXMgTmV3IFJvbWFuIjt9DQouVGJsM0IN Cgl7bXNvLXNwZWNpYWwtZm9ybWF0Om5vYnVsbGV0XDIwMTM7DQoJZm9udC1zaXplOjEwMCU7fQ0K LlRibDMNCgl7Zm9udC1mYW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7fQ0KLlRibDRCDQoJe21zby1z cGVjaWFsLWZvcm1hdDpub2J1bGxldFwyMDIyOw0KCWZvbnQtc2l6ZToxMDAlO30NCi5UYmw0DQoJ e2ZvbnQtZmFtaWx5OiJUaW1lcyBOZXcgUm9tYW4iO30NCi5kZWZhdWx0Qg0KCXttc28tc3BlY2lh bC1mb3JtYXQ6bm9idWxsZXRcMjAyMjt9DQouZGVmYXVsdA0KCXt0ZXh0LWFsaWduOmxlZnQ7DQoJ Zm9udC1mYW1pbHk6IlRpbWVzIE5ldyBSb21hbiI7DQoJZm9udC13ZWlnaHQ6bm9ybWFsOw0KCWZv bnQtc3R5bGU6bm9ybWFsOw0KCXRleHQtZGVjb3JhdGlvbjpub25lOw0KCXRleHQtc2hhZG93Om5v bmU7DQoJdGV4dC1lZmZlY3Q6bm9uZTsNCgltc28tZmFyZWFzdC1oaW50Om5vOw0KCWxheW91dC1m bG93Omhvcml6b250YWw7DQoJY29sb3I6YmxhY2s7DQoJbXNvLWNvbG9yLWluZGV4OjE7DQoJZm9u dC1zaXplOjExNCU7DQoJbXNvLXRleHQtcmFpc2U6MCU7DQoJbXNvLWxpbmUtc3BhY2luZzoiMTAw IDAgMCI7DQoJbXNvLW1hcmdpbi1sZWZ0LWFsdDowOw0KCW1zby10ZXh0LWluZGVudC1hbHQ6MDsN Cgltc28tY2hhci13cmFwOjA7DQoJbXNvLWtpbnNva3Utb3ZlcmZsb3c6MDsNCglkaXJlY3Rpb246 bHRyOw0KCW1zby13b3JkLXdyYXA6MTsNCgltc28tdmVydGljYWwtYWxpZ24tc3BlY2lhbDpiYXNl bGluZTsNCgltc28tYW5zaS1sYW5ndWFnZTpFTi1VUzt9DQphOmxpbmsNCgl7Y29sb3I6I0NDQ0NG RiAhaW1wb3J0YW50O30NCmE6YWN0aXZlDQoJe2NvbG9yOiMzMzMzQ0MgIWltcG9ydGFudDt9DQph OnZpc2l0ZWQNCgl7Y29sb3I6I0IyQjJCMiAhaW1wb3J0YW50O30NCn== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/script.js Content-Transfer-Encoding: quoted-printable Content-Type: application/javascript; charset="us-ascii" function LoadSld() { var sld=3DGetObj("SlideObj") if( !g_supportsPPTHTML ) { =09 sld.style.visibility=3D"visible" return } if( MakeNotesVis() ) return runAnimations =3D _InitAnimations(); =09 if( IsWin("PPTSld") ) parent.SldUpdated(GetSldId()) g_origSz=3DparseInt(SlideObj.style.fontSize) g_origH=3Dsld.style.posHeight g_origW=3Dsld.style.posWidth g_scaleHyperlinks=3D(document.all.tags("AREA").length>0) if( g_scaleHyperlinks ) InitHLinkArray() if( g_scaleInFrame||(IsWin("PPTSld") && parent.IsFullScrMode() ) ) document.body.scroll=3D"no" _RSW() if( IsWin("PPTSld") && parent.IsFullScrMode() ) FullScrInit(); =09 MakeSldVis(); ChkAutoAdv() if( runAnimations ) { if( document.all("NSPlay") ) document.all("NSPlay").autoStart =3D false; if( sld.filters && sld.filters.revealtrans ) setTimeout( "document.body.start()", sld.filters.revealtrans.duration * = 1000 ); else document.body.start(); } } function MakeSldVis()=20 { var fTrans=3Dg_showAnimation && SldHasTrans() if( fTrans )=09 { if( g_bgSound ) { idx=3Dg_bgSound.indexOf(","); pptSound.src=3Dg_bgSound.substr( 0, idx ); pptSound.loop=3D -(parseInt(g_bgSound.substr(idx+1))); } SlideObj.filters.revealtrans.Apply()=09 } SlideObj.style.visibility=3D"visible" if( fTrans ) SlideObj.filters.revealtrans.Play() } function MakeNotesVis()=20 { if( !IsNts() ) return false=20 SlideObj.style.display=3D"none" nObj =3D document.all.item("NotesObj") parent.SetHasNts(0) if( nObj ) {=20 nObj.style.display=3D"" parent.SetHasNts(1) } return 1 } function ChkAutoAdv() { if(SldHasTrans()) SlideObj.onfilterchange=3DAutoAdv else AutoAdv() } function AutoAdv() { if(!IsWin("PPTSld") || !gUseSldTimings )return var sld=3DGetCurSld() if( (sld.mAdvDelay>0) && !parent.IsFramesMode() ) setTimeout("parent.GoToNextSld()",sld.mAdvDelay) } function GetObj(id) { if(g_supportsPPTHTML) return document.all(id); else return document.getElementById(id); } function SldHasTrans() { return SlideObj.style.filter !=3D ""; } function GetSldId() { return sId=3Dlocation.href.substring(location.href.la= stIndexOf('/')+1) } function HideMenu() { if( frames["PPTSld"] && PPTSld.document.all.item("ctx= tmenu") && PPTSld.ctxtmenu.style.display!=3D"none" ) { PPTSld.ctxtmenu.styl= e.display=3D'none'; return true } return false } function IsWin( name ) { return window.name =3D=3D name } function IsNts() { return IsWin("PPTNts") } function IsSldOrNts() { return( IsWin("PPTSld")||IsWin("PPTNts") ) } function SupportsPPTAnimation() { return( navigator.platform =3D=3D "Win32"= && navigator.appVersion.indexOf("Windows")>0 ) } function SupportsPPTHTML() { var appVer=3Dnavigator.appVersion, msie=3DappVer.indexOf("MSIE "), ver=3D0 if( msie >=3D 0 ) ver=3DparseFloat( appVer.substring( msie+5, appVer.indexOf(";",msie) ) ) else ver=3DparseInt(appVer) return( ver >=3D 4 && msie >=3D 0 ) } function _RSW() { if( !g_supportsPPTHTML || IsNts() || ( !g_scaleInFrame && (!IsWin("PPTSld") || !parent.IsFullScrMode()) ) ) return var padding=3D0; if( IsWin("PPTSld") && parent.IsFramesMode() ) padding=3D6 cltWidth=3Ddocument.body.clientWidth-padding cltHeight=3Ddocument.body.clientHeight-padding factor=3D(1.0*cltWidth)/g_origW if( cltHeight < g_origH*factor ) factor=3D(1.0*cltHeight)/g_origH newSize =3D g_origSz * factor if( newSize < 1 ) newSize=3D1 s=3DSlideObj.style s.fontSize=3DnewSize+"px" s.posWidth=3Dg_origW*factor s.posHeight=3Dg_origH*factor s.posLeft=3D(cltWidth-s.posWidth+padding)/2 s.posTop=3D(cltHeight-s.posHeight+padding)/2 if( g_scaleHyperlinks ) ScaleHyperlinks( factor ) } function _InitAnimations() { animRuntimeInstalled =3D ''+document.body.localTime !=3D 'undefined'; isFullScreen =3D (window.name =3D=3D "PPTSld") && !parent.IsFramesMode(); g_animUseRuntime =3D g_showAnimation && animRuntimeInstalled && !(isFullSc= reen && parent.IsSldVisited()); if( g_animUseRuntime ) { collSeq =3D document.all.tags("seq"); if( collSeq !=3D null ) { for(ii=3D0;ii numSlds ) gSldJumpIdx =3D numSlds; if ( gSldJumpIdx >=3D 0 ) { if ( gSldJumpIdx =3D=3D 0 ) gSldJumpIdx =3D 1; var jumpTo =3D parseInt(gSldJumpIdx); gSldJump =3D 0; gSldJumpIdx =3D ""; win.GoToSld( parent.GetSldList().mList[jumpTo-1].mSldHref ) } } } function _KDH() { if( event.keyCode =3D=3D 8 ) { event.returnValue =3D 0; parent.GoToPrevSld(); } }function DocumentOnClick() { if( IsNts() || parent.HideMenu() ) return; if( ( g_allowAdvOnClick && (window.name=3D=3D"PPTSld") && !parent.IsFrames= Mode() ) || (event && event.keyCode=3D=3D32) ) { =09 if( g_animUseRuntime && g_animMainSequence && g_animMainSequence.cangonex= t ) return; parent.GoToNextSld(); } } var g_supportsPPTHTML =3D SupportsPPTHTML(), g_scaleInFrame =3D 1, gId=3D""= , g_bgSound=3D"", g_scaleHyperlinks =3D false, g_allowAdvOnClick =3D 1, g_showInBrowser = =3D 0, gLoopCont =3D 0, gUseSldTimings =3D 0; var g_showAnimation =3D g_supportsPPTHTML && SupportsPPTAnimation() && ( (w= indow.name=3D=3D"PPTSld" && !parent.IsFramesMode()) || g_showInBrowser );va= r g_animManager =3D null; var g_animUseRuntime =3D false; var g_animItemsToHide, g_animInteractiveItems, g_animSlideTime; var g_animMainSequence =3D null; var ENDSHOW_MESG=3D"End of slide show, click to exit.", SCREEN_MODE=3D"Fram= es", gIsEndShow=3D0, NUM_VIS_SLDS=3D63, SCRIPT_HREF=3D"script.js", FULLSCR_= HREF=3D"fullscreen.htm"; var gCurSld =3D gPrevSld =3D 1, g_offset =3D 0, gNtsOpen =3D gHasNts =3D gO= tlTxtExp =3D 0, gHasNarration =3D 0, gOtlOpen =3D true window.gPPTHTML=3DSupportsPPTHTML() var gMainDoc=3Dnew Array(new hrefList("slide0001.htm",1,-1,1),new hrefList(= "slide0060.htm",1,-1,1),new hrefList("slide0002.htm",1,-1,1),new hrefList("= slide0033.htm",1,-1,1),new hrefList("slide0011.htm",1,-1,1),new hrefList("s= lide0013.htm",1,-1,1),new hrefList("slide0069.htm",1,-1,1),new hrefList("sl= ide0081.htm",1,-1,1),new hrefList("slide0012.htm",1,-1,1),new hrefList("sli= de0014.htm",1,-1,1),new hrefList("slide0101.htm",1,-1,1),new hrefList("slid= e0015.htm",1,-1,1),new hrefList("slide0109.htm",1,-1,1),new hrefList("slide= 0054.htm",1,-1,1),new hrefList("slide0102.htm",1,-1,1),new hrefList("slide0= 018.htm",1,-1,1),new hrefList("slide0020.htm",1,-1,1),new hrefList("slide00= 19.htm",1,-1,1),new hrefList("slide0105.htm",1,-1,1),new hrefList("slide007= 6.htm",1,-1,1),new hrefList("slide0117.htm",1,-1,1),new hrefList("slide0021= .htm",1,-1,1),new hrefList("slide0122.htm",1,-1,1),new hrefList("slide0123.= htm",1,-1,1),new hrefList("slide0120.htm",1,-1,1),new hrefList("slide0022.h= tm",1,-1,1),new hrefList("slide0027.htm",1,-1,1),new hrefList("slide0028.ht= m",1,-1,1),new hrefList("slide0125.htm",1,-1,1),new hrefList("slide0110.htm= ",1,-1,1),new hrefList("slide0111.htm",1,-1,1),new hrefList("slide0112.htm"= ,1,-1,1),new hrefList("slide0113.htm",1,-1,1),new hrefList("slide0114.htm",= 1,-1,1),new hrefList("slide0083.htm",1,-1,1),new hrefList("slide0084.htm",1= ,-1,1),new hrefList("slide0085.htm",1,-1,1),new hrefList("slide0086.htm",1,= -1,1),new hrefList("slide0087.htm",1,-1,1),new hrefList("slide0090.htm",1,-= 1,1),new hrefList("slide0107.htm",1,-1,1),new hrefList("slide0082.htm",1,-1= ,1),new hrefList("slide0108.htm",1,-1,1),new hrefList("slide0148.htm",1,-1,= 1),new hrefList("slide0149.htm",1,-1,1),new hrefList("slide0094.htm",1,-1,1= ),new hrefList("slide0097.htm",1,-1,1),new hrefList("slide0134.htm",1,-1,1)= ,new hrefList("slide0135.htm",1,-1,1),new hrefList("slide0136.htm",1,-1,1),= new hrefList("slide0129.htm",1,-1,1),new hrefList("slide0133.htm",1,-1,1),n= ew hrefList("slide0130.htm",1,-1,1),new hrefList("slide0126.htm",1,-1,1),ne= w hrefList("slide0096.htm",1,-1,1),new hrefList("slide0095.htm",1,-1,1),new= hrefList("slide0137.htm",1,-1,1),new hrefList("slide0138.htm",1,-1,1),new = hrefList("slide0141.htm",1,-1,1),new hrefList("slide0143.htm",1,-1,1),new h= refList("slide0144.htm",1,-1,1),new hrefList("slide0145.htm",1,-1,1),new hr= efList("slide0124.htm",1,-1,1)); /********************************************* Frameset functions These functions control slide navigation and state of the frameset. **********************************************/ function FullScrInit() { g_allowAdvOnClick =3D GetCurSld().mAdvOnClk document.body.style.backgroundColor=3D"black" document.oncontextmenu=3Dparent._CM; document.onkeydown =3D _KDH; document.ondragstart=3DCancel document.onselectstart=3DCancel self.focus() } function Redirect( frmId ) {=09 var str=3Ddocument.location.hash,idx=3Dstr.indexOf('#'), sId=3DGetSldId() if(idx>=3D0) str=3Dstr.substr(1); if( window.name !=3D frmId && ( sId !=3D str) ) { obj =3D GetObj("Main-File") window.location.href=3Dobj.href+"#"+sId return 1 } return 0 } var MHTMLPrefix =3D CalculateMHTMLPrefix();=20 function CalculateMHTMLPrefix() { if ( document.location.protocol =3D=3D 'mhtml:') {=20 href=3Dnew String(document.location.href)=20 Start=3Dhref.indexOf('!')+1=20 End=3Dhref.lastIndexOf('/')+1=20 if (End < Start)=20 return href.substring(0, Start)=20 else=20 return href.substring(0, End)=20 } return ''; } function GetTags(base,tag) { if(g_supportsPPTHTML) return base.all.tags(tag); else return base.getElementsByTagName(tag); } function UpdNtsPane(){ if(frames["PPTNts"]) PPTNts.location.replace( MHTMLP= refix+GetHrefObj( gCurSld ).mNtsHref ) } function UpdNavPane( sldIndex ){ if(gNavLoaded) PPTNav.UpdNav() } function UpdOtNavPane(){ if(gOtlNavLoaded) PPTOtlNav.UpdOtlNav() } function UpdOtlPane(){ if(gOtlLoaded) PPTOtl.UpdOtl() } function SetHasNts( fVal ) { if( gHasNts !=3D fVal ) { gHasNts=3DfVal UpdNavPane() } } function ToggleOtlText() { gOtlTxtExp=3D!gOtlTxtExp UpdOtlPane() } function ClearMedia() { // Clear any sounds playing before launching another browser window. Other= wise, // in fullscreen mode, you'll continue to hear the sound in the frames mod= e. if (PPTSld.pptSound) PPTSld.pptSound.loop =3D 0; } function FullScreen() {=20 if ( PPTSld.g_animUseRuntime ) PPTSld.document.body.pause(); ClearMedia(); var href =3D ( document.location.protocol =3D=3D 'mhtml:') ? FULLSCR_HREF = : FULLSCR_HREF+"#"+GetHrefObj(gCurSld).mSldHref; if(PPTNav.event.ctrlKey) { var w =3D (window.screen.availWidth * 1.0) / 2.0 var h =3D w * (PPTSld.g_origH * 1.0) / PPTSld.g_origW win =3D window.open( MHTMLPrefix+href,null,"toolbar=3D0,resizable=3D1,top= =3D0,left=3D0," + "width=3D"+ w + ",height=3D" + h ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } else { win =3D window.open( MHTMLPrefix+href,null,"fullscreen=3Dyes" ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } } function ToggleVNarration() { rObj=3DPPTSld.document.all("NSPlay") if( rObj && !PPTSld.g_animUseRuntime ) { if( (rObj.playState =3D=3D 1)||(rObj.playState =3D=3D 0) ) rObj.Play() else if( rObj.playState =3D=3D 2 ) rObj.Pause() else return; } else if( PPTSld.g_animUseRuntime ) { narObj =3D PPTSld.document.all("narrationID") if( narObj ) narObj.togglePause() } } function GetCurSldNum() { =20 obj=3DGetHrefObj(gCurSld) if( obj.mOrigVis =3D=3D 1 ) return obj.mSldIdx else =20 return gCurSld } function GetNumSlds() { =20 if( GetHrefObj(gCurSld).mOrigVis =3D=3D 1 ) return GetSldList().mNumVisSlds; else return GetSldList().mList.length } function GetSldNum( href ) { for(ii=3D0; ii 1 ) PopSldList(); else if( !IsFramesMode() ) { if( gLoopCont ) GoToFirst() else EndShow() } } function GoToPrevSld() { ii=3DgCurSld-1 if( ii > 0 ) { obj=3DGetHrefObj(ii) while ( obj && ( obj.mVis =3D=3D 0 ) && ( ii>0 ) ) obj=3DGetHrefObj(--ii) if( ii =3D=3D 0 ) ii=3D1 GoToSldNum(ii) } } function GoToFirst(){ GoToSld( GetHrefObj(1).mSldHref ) } function GoToLast() { ii=3DGetSldList().mList.length if( ii !=3D gCurSld ) GoToSld( GetHrefObj(ii).mSldHref ) } function GoToSldNum( num ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue obj =3D GetHrefObj( num ) obj.mVis=3D1 gPrevSld=3DgCurSld gCurSld =3D num; PPTSld.location.replace(MHTMLPrefix+obj.mSldHref) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function GoToSld( href ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue GetHrefObj( GetSldNum(href) ).mVis=3D1 PPTSld.location.replace(MHTMLPrefix+href) } function SldUpdated( id ) { if( id =3D=3D GetHrefObj(gCurSld).mSldHref ) return gPrevSld=3DgCurSld gCurSld=3DGetSldNum(id) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) } function HasPrevSld() { return ( gIsEndShow || ( gCurSld !=3D 1 && GetHrefO= bj( gCurSld-1 ).mVis =3D=3D 1 )||( GetCurSldNum() > 1 ) ) } function HasNextSld() { return (GetCurSldNum() !=3D GetNumSlds()) } function CloseWindow() { if( HideMenu() ) return; =09 var event =3D PPTSld.event; if( !IsFramesMode() && event && (event.keyCode=3D=3D27 || event.keyCode=3D= =3D32 || event.type=3D=3D"click" ) ) window.close( self ); CatchNumKeys( self, event ); } function Unload() { gIsEndShow=3D0; } function SetupEndShow() { gIsEndShow=3D1; PPTSld.document.body.scroll=3D"no"; PPTSld.document.onkeypress=3DCloseWindow; PPTSld.document.onclick=3DCloseWindow; PPTSld.document.oncontextmenu=3D_CM; } function EndShow() { if( IsFramesMode() ) return if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue doc=3DPPTSld.document var dir =3D doc.body.dir if( dir !=3D "rtl" ) dir =3D "ltr"; doc.open() doc.writeln('


' + ENDSHOW_MESG + '

') doc.close() } function SetSldVisited(){ GetSldList().mList[gCurSld-1].mVisited=3Dtrue } function IsSldVisited(){ return GetSldList().mList[gCurSld-1].mVisited } function hrefList( sldHref, visible, advDelay, advClk ) { this.mSldHref=3D this.mNtsHref =3D sldHref this.mOrigVis=3D this.mVis =3D visible this.mVisited=3D false this.mAdvDelay=3D advDelay this.mAdvOnClk=3D advClk } function SldList(arr,curSld,fEnd) { this.mCurSld =3D curSld; this.mList =3D new Array(); var idx =3D 1; for(ii=3D0;ii 0) { PushSldList(sldList,fEnd); gCurSld =3D 1; } else if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue } function PushSldList(arr,fEnd) { var ii =3D gSldStack.length; gSldStack[ii] =3D new SldList(arr,gCurSld,fEnd); GoToSld( gSldStack[ii].mList[0].mSldHref ); } function PopSldList() { if (gSldStack[gSldStack.length-1].fEndShow) EndShow() else { gCurSld =3D gSldStack[gSldStack.length-1].mCurSld; gSldStack[gSldStack.length-1] =3D null; gSldStack.length--; var sldList =3D gSldStack[gSldStack.length-1]; GoToSld( sldList.mList[gCurSld - 1].mSldHref ); } } var custShowList=3Dnew Array(); /********************************************* Navigation button implementation There are 2 types of buttons: ImgBtn, TxtBtn implemented as function objects. They share a similiar interface so the event handlers can call SetActive, for example, on a button=20 object without needing to know exactly=20 what type of button it is. **********************************************/ //---------------------------------- function ImgBtn( oId,bId,w,action ) //---------------------------------- { var t=3Dthis t.Perform =3D _IBP t.SetActive =3D _IBSetA t.SetInactive=3D _IBSetI t.SetPressed =3D _IBSetP t.SetDisabled=3D _IBSetD t.Enabled =3D _IBSetE t.ChangeIcon =3D null t.UserAction =3D action t.ChgState =3D _IBUI t.mObjId =3D oId t.mBorderId=3D bId t.mWidth =3D w t.mIsOn =3D t.mCurState =3D 0 } function _IBSetA() { if( this.mIsOn ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _IBSetI() { if( this.mIsOn ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0=20 } } function _IBSetP() { if( this.mIsOn ) { obj=3Dthis.ChgState( gShadowClr,gHiliteClr,2 ) obj.style.posLeft+=3D1; obj.style.posTop+=3D1 } } function _IBSetD() { =20 obj=3Dthis.ChgState( gFaceClr,gFaceClr,0 ) obj.style.posTop=3D0=20 } function _IBSetE( state ) { var t=3Dthis GetObj( t.mBorderId ).style.visibility=3D"visible" if( state !=3D t.mIsOn ) { t.mIsOn=3Dstate if( state ) t.SetInactive() else t.SetDisabled() } } function _IBP() { var t=3Dthis if( t.mIsOn ) { if( t.UserAction !=3D null ) t.UserAction() if( t.ChangeIcon ) { obj=3DGetObj(t.mObjId) if( t.ChangeIcon() ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-4)*t.mWidth else obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-0)*t.mWidth } t.SetActive() } =20 } function _IBUI( clr1,clr2,nextState ) { var t=3Dthis SetBorder( GetObj( t.mBorderId ),clr1,clr2 ) obj=3DGetObj( t.mObjId ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj= .style.posTop t.mCurState=3DnextState return obj } //----------------------------------------- function TxtBtn( oId,oeId,action,chkState ) //----------------------------------------- { var t=3Dthis t.Perform =3D _TBP t.SetActive =3D _TBSetA t.SetInactive=3D _TBSetI t.SetPressed =3D _TBSetP t.SetDisabled=3D _TBSetD t.SetEnabled =3D _TBSetE t.GetState =3D chkState t.UserAction =3D action t.ChgState =3D _TBUI t.mObjId =3D oId t.m_elementsId=3D oeId t.mIsOn =3D 1 } function _TBSetA() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gHiliteClr,gShadowClr,0,0 ) } function _TBSetI() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) } function _TBSetP() { if( this.mIsOn ) this.ChgState( gShadowClr,gHiliteClr,1,1 ) } function _TBSetD() { =20 this.ChgState( gFaceClr,gFaceClr,0,0 ) this.mIsOn =3D 0 } function _TBSetE() { var t=3Dthis if( !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) else t.ChgState( gShadowClr,gHiliteClr,1,1 ) t.mIsOn =3D 1 } function _TBP() { var t=3Dthis if( t.mIsOn ) {=20 if( t.UserAction !=3D null ) t.UserAction() if( !t.GetState ) return if( t.GetState() ) t.SetPressed() else t.SetActive() } =20 } function _TBUI( clr1,clr2,lOffset,tOffset ) { SetBorder( GetObj( this.mObjId ),clr1,clr2 ) Offset( GetObj( this.m_elementsId ),lOffset,tOffset ) } function Offset( obj, top, left ){ obj.style.top=3Dtop; obj.style.left=3Dle= ft } function SetBorder( obj, upperLeft, lowerRight ) { s=3Dobj.style; s.borderStyle =3D "solid" s.borderWidth =3D 1=20 s.borderLeftColor =3D s.borderTopColor =3D upperLeft s.borderBottomColor=3D s.borderRightColor =3D lowerRight } function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] } function BtnOnOver(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetActive() } function BtnOnDown(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetPressed() } function BtnOnOut(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetInactive() } function BtnOnUp() { b=3DGetBtnObj() if( b !=3D null ) b.Perform() else Upd() } function GetNtsState(){ return parent.gNtsOpen } function GetOtlState(){ return parent.gOtlOpen } function GetOtlTxtState(){ return parent.gOtlTxtExp } function NtsBtnSetFlag( fVal ) { s=3Ddocument.all.item( this.m_flagId ).style s.display=3D"none" if( fVal ) s.display=3D"" else s.display=3D"none" } function _BSetA_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etActive() } function _BSetI_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etInactive() } function _BSetP_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etPressed() } function _BSetA_BorderImg() {=20 b =3D gBtnArr[this.mBorderId]=20 if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _BSetI_BorderImg() {=20 b =3D gBtnArr[this.mBorderId] if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0 } } var gHiliteClr=3D"THREEDHIGHLIGHT",gShadowClr=3D"THREEDSHADOW",gFaceClr=3D"= THREEDFACE" var gBtnArr =3D new Array() gBtnArr["nb_otl"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPan= e,GetOtlState ) gBtnArr["nb_otlElem"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOt= lPane,GetOtlState ) gBtnArr["nb_nts"] =3D new ImgBtn( "nb_nts","nb_ntsBorder",10,parent.ToggleN= tsPane ) gBtnArr["nb_nts"].SetActive =3D _BSetA_BorderImg; gBtnArr["nb_nts"].SetInactive =3D _BSetI_BorderImg; gBtnArr["nb_ntsBorder"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.= ToggleNtsPane,GetNtsState ) gBtnArr["nb_ntsElem"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.To= ggleNtsPane,GetNtsState ) gBtnArr["nb_prevBorder"] =3D gBtnArr["nb_prev"]=3D new ImgBtn( "nb_prev","n= b_prevBorder",30,parent.GoToPrevSld ) gBtnArr["nb_nextBorder"] =3D gBtnArr["nb_next"]=3D new ImgBtn( "nb_next","n= b_nextBorder",30,parent.GoToNextSld ) gBtnArr["nb_sldshw"]=3D new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent= .FullScreen ) gBtnArr["nb_sldshwBorder"] =3D new TxtBtn( "nb_sldshw","nb_sldshwBorder",pa= rent.FullScreen,null ) gBtnArr["nb_sldshwBorder"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwBorder"].SetInactive =3D _BSetI_Border; gBtnArr["nb_sldshwText"] =3D new TxtBtn( "nb_sldshw","nb_sldshwText",parent= .FullScreen,null ) gBtnArr["nb_sldshwText"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwText"].SetInactive =3D _BSetI_Border; gBtnArr["nb_voice"] =3D gBtnArr["nb_voiceBorder"] =3D new ImgBtn( "nb_voice= ","nb_voiceBorder",18,parent.ToggleVNarration ) gBtnArr["nb_otlTxtBorder"] =3D gBtnArr["nb_otlTxt"]=3D new ImgBtn( "nb_otlT= xt","nb_otlTxtBorder",23,parent.ToggleOtlText ) gBtnArr["nb_ntsBorder"].m_flagId=3D "nb_nts" gBtnArr["nb_ntsBorder"].SetFlag =3D NtsBtnSetFlag gBtnArr["nb_otlTxt"].ChangeIcon=3D GetOtlTxtState /********************************************* Context menu implementation _CM() is the function that's hooked up to the oncontextmenu event. Once we're asked to show the menu, we first build it by creating DIVs on-the-fly. Then we position it=20 within the screen area so it doesn't get clipped. Creating the DIVs using createElement() means we don't have to write out any extra HTML into the slide HTML files. **********************************************/ var sNext=3D"Next",sPrev=3D"Previous",sEnd=3D"End Show",sFont=3D"Arial",sAr= row=3D"Arrow",sFreeform=3D"Freeform",sRect=3D"Rectangle",sOval=3D"Oval" function ShowMenu() { BuildMenu(); var doc=3DPPTSld.document.body,x=3DPPTSld.event.clientX+doc.scrollLeft,y= =3DPPTSld.event.clientY+doc.scrollTop m =3D PPTSld.document.all.item("ctxtmenu") m.style.pixelLeft=3Dx if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) ) m.style.pixelLeft=3Dx-m.scrollWidth m.style.pixelTop=3Dy if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) ) m.style.pixelTop=3Dy-m.scrollHeight m.style.display=3D"" } function _CM() { if( !parent.IsFullScrMode() ) return; if(!PPTSld.event.ctrlKey) { ShowMenu() return false } else HideMenu() } function BuildMenu() { if( PPTSld.document.all.item("ctxtmenu") ) return var mObj=3DCreateItem( PPTSld.document.body ) mObj.id=3D"ctxtmenu" mObj.style.visibility=3D"hidden" var s=3DmObj.style s.position=3D"absolute" s.cursor=3D"default" s.width=3D"120px" SetCMBorder(mObj,"menu","black") var iObj=3DCreateItem( mObj ) SetCMBorder( iObj, "threedhighlight","threedshadow" ) iObj.style.padding=3D2 CreateMenuItem( iObj,sNext,M_GoNextSld,M_True ) CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld ) =09 CreateSeparator( iObj ) CreateMenuItem( iObj,sEnd,M_End,M_True ) mObj.style.visibility=3D"visible" } function Cancel() { window.event.cancelBubble=3Dtrue; window.event.returnVa= lue=3Dfalse } function Highlight() { ChangeClr("activecaption","threedhighlight") } function Deselect() { ChangeClr("threedface","menutext") } function Perform() { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) e.Action() else PPTSld.event.cancelBubble=3Dtrue } function ChangeClr( bg,clr ) { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) { e.style.backgroundColor=3Dbg e.style.color=3Dclr } } function M_HasPrevSld() { return( parent.HasPrevSld() ) } function M_GoNextSld() { if( gIsEndShow ) M_End(); else GoToNextSld() } function M_GoPrevSld() { if( gIsEndShow ) { gIsEndShow=3D0; history.back();= PPTSld.event.cancelBubble=3Dtrue; } else GoToPrevSld() } function M_True() { return true } function M_End() { window.close( self ) } function CreateMenuItem( node,text,action,eval ) { var e=3DCreateItem( node ) e.type=3D"menuitem" e.Action=3Daction e.IsActive=3Deval e.innerHTML=3Dtext if( !e.IsActive() ) e.style.color=3D"threedshadow" e.onclick=3DPerform e.onmouseover=3DHighlight e.onmouseout=3DDeselect s=3De.style; s.fontFamily=3DsFont s.fontSize=3D"9pt" s.paddingLeft=3D2 } function CreateSeparator( node ) { var sObj=3DCreateItem( node ) SetCMBorder(sObj,"menu","menu") var s=3DsObj.style s.borderTopColor=3D"threedshadow" s.borderBottomColor=3D"threedhighlight" s.height=3D1 s.fontSize=3D"0px" } function CreateItem( node ) { var elem=3DPPTSld.document.createElement("DIV") node.insertBefore( elem ) return elem } function SetCMBorder( o,ltClr,rbClr ) { var s=3Do.style s.backgroundColor=3D"menu" s.borderStyle=3D"solid" s.borderWidth=3D1 s.borderColor=3DltClr+" "+rbClr+" "+rbClr+" "+ltClr } ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/fullscreen.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/notes_flag.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgAKAPcAAAAAAIAAAACAAICAAAAAgIAAgACAgICAgMwENMTExPz8/AAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAMDAwP8AAAD/AP//AAAA//8A/wD//////ywAAAAACgAKAEAIKgDx4UNA sKDAgQUTJiCogGHDhBAfFlRAMSFCiAguTozYUGJEiAk0EhQYEAA7 ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/buttons.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhWAESAPf4AAAAAIAAAACAAICAAAAAgIAAgACAgICAgAQEBISEBASEBISEhAQEhMTExAQE /KTM9Pz8/ERERPz8BAT8/KSkpGRkhMTcxCRkxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAMDAwP8AAAD/AP//AAAA//8A/wD//////yH5BAEAAPgALAAAAABYARIA QAj/APEJHEiwoMGDCBMqXMiwocOHECNKnEixosWLGCEiQKCRo8YDIEHig2DxAD4LKD1avDDhgUuV GUOGbHBR5QGYFBG4fHAB58EKECJEwCfUYAWPFGAygLCRKQIIUKM6WAohKUGgCikcFWh1INWoYKVS 7SrQ41GbIhGYLAuVQVOoC+IyXUuUAkG1HE3KFDhAwkgJc5/qDZmxsOHDiBMrXsy4sePDGyP7lChT 5MULmDPnlDw5YmW6FTNrfgi0aNGEZPEtbfo2bNTUpYeeRph69dPWrqvCNFuBIGG1A59CYPAVQtwF cw0OxWdTIOiBCQAjaAB17fOFII8voGmRc+eOkilm/z9OvTtnjN4hYk1YoT3H2rnBOphPAB9skgq3 2lcaX/5YnJVt9BloAar12UEIRGCZdQghMABI1Tn32IQUVthYexhmqGGGMBHAgIfEhSiiiATAtOGJ GnYI4ogsEldicAYOGNJGZaml3Y0L3NTZUBz1xlB0PUoUI0jlVWRSVN89xBKSGB1YU1TMoRfVBEle hR9HQs1GEHxQ3RZZbveZthxt/LEmXHyp5XWABSCpaRJwbM13gAACPHVccgJFgF+NEhqUAEkQSCfc ddhVhh5dVTaEAEsTUNlkZUWKN9BNGDE6QU8OrSdbllzpxyVTTrU21Uj3scfhp7nNpyoDaTIEJ3P9 If8J2kbLNYegg9JRBwGhFvbq66+ZUiDssMQWK2yHxiZLrInKNotss8l+B5yBrr5p2UIJvortANoC 6+234IbLla/elRtZjeamh5CC3Sb0YLvixivvYkDFGlZqBNh7r4n6goVvv6/ZlCicN+kL71ALTnpQ dCIZp7CihkLA3UQmoWRBogyxtBPGCTnZncVR1rSTo5nuydC/Eo8kUH+lOoTyyvjoCuZu+PjYIKLD rZybtrM1d10C0QXKEVz48GrQkEeWdFJKlbb0UmEeV0SzyC6RvNB646LWIVjUNeC1zAFb+RDKXksM 9r531bwmpQW9+hQDDsx5pqwDRWBXcFES2hc+gEn/wJGdEEWdE6LoWcoxQweaTNmkhydkKaYMYY2Q p1unbLl/pPKbn3v7EZRvrKvqlja2ONvrtoIw9tn2g32/tQBlhtYkU+MNikZ7QYlPDPuMldpOmuJX nVo5VF3HjI+q89mteX5IDd/fVFClma5kiE4f2XUJhlz09gj2NbTDRifkmu7zXjR++RVJ/lPznuvr QH2iD6S+UewP9Dnon6d2NLwN8n90BB6hC68cFMCHoe+ACASP9c4DowUyEF0OPFcDI0ij/VXPaAKC UfhS95AKGoQ7IBRICI1HwhGaUIQoLGEKT6jCFrLwhSuMoQtlCMMZ2rCGOKShDm+4wxzy8Ic+DGIP B4cIRCKGMCAAOy== ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/frame.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" IR System Evaluation ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/outline.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
 No= tes
Slide Show
Outline
= = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/oledata.mso Content-Transfer-Encoding: base64 Content-Type: application/x-mso 0M8R4KGxGuEAAAAAAAAAAAAAAAAAAAAAPgADAP7/CQAGAAAAAAAAAAAAAAACAAAAAQAAAAAAAAAA EAAAAgAAAAQAAAD+////AAAAAAAAAABbAAAA//////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////9 ////FgAAAA8AAAAEAAAABQAAAAYAAAAHAAAACAAAAAkAAAAKAAAACwAAAAwAAAANAAAADgAAABAA AAAgAAAAEQAAABIAAAATAAAAFAAAABUAAAAXAAAAJwAAABgAAAAZAAAAGgAAABsAAAAcAAAAHQAA AB4AAAAfAAAAIQAAAJIAAAAiAAAAIwAAACQAAAAlAAAAJgAAAEsAAABVAAAAKQAAACoAAAArAAAA LAAAAC0AAAAuAAAALwAAADAAAAAxAAAAMgAAAP7///80AAAANQAAADYAAAA3AAAAOAAAADkAAAA6 AAAAOwAAADwAAAA9AAAAPgAAAD8AAABAAAAAQQAAAEIAAABDAAAARAAAAEUAAABGAAAARwAAAEgA AABJAAAASgAAAP7///9MAAAATQAAAE4AAABPAAAAUAAAAFEAAABSAAAAUwAAAFQAAABWAAAAlgAA AFcAAABYAAAAWQAAAFoAAACTAAAA/f///10AAABeAAAAXwAAAGAAAABhAAAAYgAAAGMAAABkAAAA ZQAAAGYAAABnAAAAaAAAAGkAAABqAAAAawAAAGwAAABtAAAAbgAAAG8AAABwAAAAcQAAAHIAAABz AAAAdAAAAHUAAAB2AAAAdwAAAHgAAAB5AAAAegAAAHsAAAB8AAAAfQAAAH4AAAB/AAAAgAAAAFIA bwBvAHQAIABFAG4AdAByAHkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAWAAUA//////////8EAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJCetqwqCsQB AwAAAIBzAAAAAAAAOAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAQAAgH///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAKQwAAAAAAAAxADAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABgACAQEAAAADAAAA/////wAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADEAAADKCgAAAAAAADEAMgAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAAIB//////// ////////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAXQAAAN0KAAAAAAAAAQAA AAIAAAADAAAABAAAAAUAAAAGAAAABwAAAAgAAAAJAAAACgAAAAsAAAAMAAAADQAAAA4AAAAPAAAA EAAAABEAAAASAAAAEwAAABQAAAAVAAAAFgAAABcAAAAYAAAAGQAAABoAAAAbAAAAHAAAAB0AAAAe AAAAHwAAACAAAAAhAAAAIgAAACMAAAAkAAAAJQAAACYAAAAnAAAAKAAAACkAAAAqAAAAKwAAACwA AAAtAAAALgAAAC8AAAAwAAAA/v///zIAAAAzAAAANAAAADUAAAA2AAAANwAAADgAAAA5AAAAOgAA ADsAAAA8AAAAPQAAAD4AAAA/AAAAQAAAAEEAAABCAAAAQwAAAEQAAABFAAAARgAAAEcAAABIAAAA SQAAAEoAAABLAAAATAAAAE0AAABOAAAATwAAAFAAAABRAAAAUgAAAFMAAABUAAAAVQAAAFYAAABX AAAAWAAAAFkAAABaAAAAWwAAAFwAAAD+////XgAAAF8AAABgAAAAYQAAAGIAAABjAAAAZAAAAGUA AABmAAAAZwAAAGgAAABpAAAAagAAAGsAAABsAAAAbQAAAG4AAABvAAAAcAAAAHEAAAByAAAAcwAA AHQAAAB1AAAAdgAAAHcAAAB4AAAAeQAAAHoAAAB7AAAAfAAAAH0AAAB+AAAAfwAAAIAAAAAAOAAA eJztWmtsFdcRnrP3Xt+HMV7whbjGxpeLwcYFxw9eTiA2BkN4GWwgtCoptcEU83LiR1poq97W5Uek NJWoQE2aBoeopIpCRCBUqKkaolJBCRDSVlFcCCGhjaJKbS2FRjQ03M6c1+59rF/YbiE51nh3v51z ZubMOXNm1r7wxqgrz7yU9R7EtfvABTejfkixYUwSbyaAIZ9vRqNRBUc/b7dV+xTJL33oxqsHiXzu RfIhBeS7VLyOQEpDGikxXAIwCmk0UgZSEGkM0liku5Aykb6AlCX5P2//f60OmvGnDUJQDTvw2gI7 40NBj20srhg1FsUDl8/g+AnxeqGdt/LJp5//OPdV5sL7yBgVU1bANmjsl0x7C4DB7Pb0tV9QXqu4 /VtvST7FQNo7fZVP/Dv96n4+yt8OD+E8NMCWfssfjVG4v/bnIzXI+5vKbyBsiN//pCbFgPj9nw78 COjz/h+HlI2UgzQeKRcphDQBKYw0ESkPaRLSZKlXgbwW4vWLSFORpiEVId2NVIxUglSKVIY0HWkG 0kykWUizkcqR7kG6F2kO0lygsw2gAqkSaR7QGgD0AsACpGoQi3YR0v1Ii5GWIC1FWoa0HKkGaQXS SqRapDqkVUirkdbA7RXrmDjGB9z8Ph9EPB543/9773h3Fq6fu8J54YlTJ04sXj/l3nUF6mHdlPHu XFxZ2ba3X6lr3PhgLEsIF16OAoqKY8fAZ+KZhAszHMsTN5JknAGFULqe0MKQkikf1xVIkQoITwvz t5XrseNUmAJT1hfYe8V2ieOfi0vzHrsgoVWsLK6UTVxFhTXAdFzfJVqg6p3QNa5fCe64Towg0e/+ WvhwuWdeS1P9NsJPO+CbWXI82ThzcWefjD53c03wXdrmuK9mw69Sd6OLGPEZPDCIBQARWgAvGAay 7IH3+dbjARF4RJK/KDxxBG8iBMlfkQj/DXRz4sQJvOD92SegrOwsnD0bhSNHjsC+ffvEioucQB4x Lg93thuOUl+6vhGFJsSvRK/g6wgcPNMN7zx1FI7+6B9w9epVKGz+N1QcPwf3/2Am7H1sHjz+1Sro bNgFDSte4LJy7v4NFGx6hEeE6vsYbCnIgN3lW2BJ6W6oqqqCdWZA7hyyss5046SYUIYx8TEMpAx/ JpsG/l5lUlh1wWp+TYU1ZopMot08gPLmW9nc2tTW1LzDxQOrTrIBuisEZN+klQJyWYhPQm4LMiXk saCghGw5faaEvBaULSGfBYUk5LegsIQCFpRX6cbjQOruX9nSuKGpVZrEEk1idpMUxE16sHaJ74E1 f5WQzaQrEuImlfF2VUIpiVzcpEc+/f47h7dflJDNpLclxE06+mZ5xe8eviQhbtKTT1DrqnDjaScV Talr3FC/bRsxGXZ7LlQIyGbPFQm5EqEEewy7iz6UUEoi5E2EfImQzUXdEgrYITee4FIrT01zS9tm 4nEJc/iMfrSwUkCGhloXScgyJ6K43FbH6sq1Jjr6y6YP8vwpfpj2jdy5KHx2RsW4UDY+47k7EhjG H0bO4RK/ZJKUHFw2LjGhTC6V/enTcXMw/tow9T6BzF3fYnNKZjHaZ50ofD5sBBcKdHG/Bfj+q8Vn EaEYpJmUtFiLkd4x+Y7uDSa8loL3Knmq5lJJvvPIBo7st9aENayRZFhhEg3gNZUz6H2AK6cag1Qu 2I9oNApaHVLEUmmB6SIfL+SxZZ5JqVcOvpuBEvbjaKdShaAVZpCvSEpJvo50HXO2PyDl8B7xjXqE yAQ5+ySIOFlSzlyzMMkYyVsuo7GCZjDpWxotk5sWNq1Vmg5jkN+PK6sELZ2Bu+MosnhxSpVlHtq4 8v23QSR9k8wsMAyh8SUMyX+KWsnwSzFzEt8srwrLS3mkNuIcRtEvwF1j5djETZRn0rgD12Ay7x+v h51EoA2CXDhWV4bZpisgao/42oty8uVNG1qaW5s3tYUWtdQ/tDlUPosHkkVVTZs2zeAH0PJV/E3R /M31LW1Fs+Fa+ZGHk3orafP7TIikeOB42lkv5dIUuKpQycPuMFd1vDubckL0sFNWOIGywpj3SfLC MOWFFpNDZphPmWE8V/LccBblhgADyQ6LKDukrn3ODysoP4wV1t8McSZliDahfc8Rs2JzO/CweVjl N0E91t0lsBarzxasfxsGWAdj/cnreTrDotG+1Z84eTAnVdwbsv5fiVo0QivWdMW8rutryxxA/Ut5 S2hsP4T00vorf7DbrcjveXVkwW97fBtTTSS8Pe3YlyqLg9FHb85J/2Ua1vVyPe/G7btOHKKytKDY AhF7bPlslRgjZcqlHOtUZnicywzm5t9oePPBnVJn6NzED3dMoZGuCw24MyqNkbrSgOEpNfbB1/yh 7Md9Q1JqlGCpsZFSNPl3MBcmg0wWByq/jy096IjxM3GybcDI14rUDDvAqQihe1eSgoRGXq8rAHt5 0pMGVKKQNSmsjsunuLsNnCqVRNlW1SJke3W1Qk8+TIZNHZeItwaW6womGFPBpOHPxgTtF2Ckoq/D KnkO6eT5XRz27ZjkeTmWJ9BrCu1KSKHzODo0Y9tLsGkIV6GAH+IU/cIfO9oDIEqwa1h+/XlEX0uw Bsll/5tr86AXZvaZ2YHbvjpNlJMHEfoe/9adfGZCIL70J86MKLjduObqcaVvhXw8h1x6zgZaCD6N uhVj8DqRpBD04ftnvPZCsGdvO9mkWs/loFWx+3Es+x6gRnsgvnTj5Zsxkr8XtsWVcP/TxutGECc6 k89qTpZNB/gLLqkPxoA4wFwfBWjniz/d0VniN9QdM2geaBQ3S+NXiiz0ZoSxn33Ca4TxHM9nQqL1 RFypfCSBW+NZMmgSbxgfyqlWOSWE+YdqrBhorGkMEq6inynPNNGPGUZ41c7WtsbtsEPwsSSaUe9k mtBIY91kE4CSM/D+9DTGPZoVstdh9y2PRmfyJ4YVMcKyr/BE0MiDxXE+EklOhhFmiyVPGPN0hdVK 7Doo7Doo7JzGzmnsWY09q7GdGtupsRqN1WgsT2N5GlNakS5dTGCFGsvSOheydo21a+yAxg5o7LzG zmvshsZuaCyfKSxfy12tsdUai2gsorFDGjuksS6NdTHlJdWUl1y9+N/uy+Tr4KfsY8z33YM2XiG7 zOg/AwZrvHw5Hj39R8boSEj0c8es3qhtXjz82q1XcY3jKq6Bds2jVsReUN5XdxnGcVDeV3e0YpX3 1R3xKe+ruwzjFCjvq7sM44+gvK/uMoyToLyv7minWN5XGa61R4WVHqnF32Gx1qJda9uusQMa68mq Dm1Vh7aqQ1vVoa3q0FZ1aKs6tFUd2qoabVWNtqoGujS2WPpWFuRxHnT2sTvGx7h6ZF86RejszHN5 cOylsAxIRi0s5NelemVqqdEoQMyM9rZePVoDS7LTurXWVvxJp3RsR52+CcRRi3l/DX+O3T1DpRWt bietDsAe+DkQx09gP7/uGSataCU6aXUejsGbQByvwOv8emyYtKId7qTVDaz2bgJxHITr/No5bHOV z5y0ymfHoJARxyuQx6/DNVcU5Zy0Ws1OwlpGHGegll9PDpNWFGedtIqwC9DBiOMt+A6/XhgmrSjS O2l1iL0GhxlxnILn+fW1YdKKTh0nrbrQc5cYcVyAt/j1zJBrNVTjJ89WBm/82Jz/9hu/k93g/ytp 5WfxWRSdzqWBICvg53MxpPH/+SsN/A2CPF8pLipFzKvxVzU+PQbfq/GZMfhWjc+WuJBYCUJiieYc KzlLtMRBmZVeK7nBH1/NevK5LmfzteUKaeZIqQ15SnyLsyGnxR/qbci/ODLDhkzg/5k604bUcGSW DdnFkdk25DmOlCMSkMhZ/jWkpDht2LwQfx18eY+yMraO/TNhB6Rxmzeyaxypq9+xdRRi6dryodOo txo+hV8ph05ePcVHeOIa586I+bLQP63dWrKz1qOHaXynusErZyVFnnWX4ccJPhVVymV4UfN0xvil OyZqxp+QnXARs0Dq8x78jF8vxn3xMqSdRSyTfxsrDXwAL3ON9d+mwMTnNBnJvLie0mWPW1tP3iHy TH/Gd6pnVUXnlbMOzMkzwF7UPJ16Jk0+k372Mv8TlfiL2Cg+hzSD3kGZv57242DMX1/2u6pcRbPv dSW1W86l+lZq/6KabHw7b2/fVe1WfN4+e+2/jM9eAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQA AHic7Vp9bFTHEZ999+E7g80jGCclxj4OExvHOLaxAcch/gADJTgG8xVaEsqHXUyMndgWKVSiTgKV qkZUalVLpFUClJKqyh8JVDRIqCVfFVRuHVdIhbYoJDRS1EqJpVSVaIHrb3b3vXt37842xrYIZa25 fW92dr52d3bmzh/0Tb58+M1pH1Fce5Q8dCMSJL8DJzTIZhIZ+v1GJBKx0JG77UvVrgOCeg296H0A XvMUQACQqscmoJ8ISAOkAyZp/GT09wCmADIAUwGZgHsB92mau+32bY3Ujr8uClEdtaHvoN3xoWDQ lokdY/HieOAJGBJ/Rg0vcdJWv/zKL/+d81vh4edMK6Y0UCs13ZRMZ0slQzjtGe68DN3XSvufviX5 HAP57AxXPtO/F7SeF0H+TnoGfthCO25a/j2Iwjdr/2zAFv18w1o3UjbEn39Wk2NAovOPK4CGOv9f AUwD3A/IAkwHZANyACHADEAYMBOQC5gFeACQB8jX+hXovhD9HEAR4CFAMaAEUAqYCygDlAPmAeYD FgAqAA8DKgGPABYS321EVYBqQA3xHiCsAtFiQB2pTbsUsAzwVcBywGOAFYB6wOOABsBKwCpAI2A1 YA1gLWAdYD3gCbr9459Q1/iIWzAQoG6fjz4OnkvJ9k7D/rk3nBueWThzZvGm2ZUb862XjbOzvTnY WVmO0a83Nm17MpYkhI033UIUFcfywDvTzMLGDMfSxHHShOVUQKWbGFsQsmTq1435WqSFCM8Jy9Hq TZhYiCMye1O+c1bslDj6hVRIDzsFKa1iZUmlHOKqqqIMyuhBKrEFWrNdU+PmleDEHUIEiXzntFrD db6ajpbNrYw/mwS/XQyffiFO9nuR125cNj+czCfrhAya+7FEgukMGRjUBqBu3gCvGwYO3Q/pY3n0 ZEAkGZH0B4cnicFDN6P0R3e3/CR+OHPmDDo89x6kuXN7qbc3QsePH6eenh6147rPgEbxleHO8SCx PJf7vgi1AH85chnD3XTs9wN06acn6MQPPqMrV65QQftVqnrrD7Rs3zz68Us1dOCpWjq0ZQ9taXhd ypr+0G8ov3mXjAh1jwrakT+F9lfsoOWl+6m2tpY2mqn65LCVjaYXTjFpLmLiSwikAn8PmAbC6mrT K321RvYTaK3pV0m08MoAKltgZXtnS1dLe5tHBlY7ySb6oEqhHIf0skZ53CivG+WLoj7VKL8bleJG BdyoYBQ1oFGpTpQX14HWPbiyo2lrS6c2SThNUlOF0yQLJU16ctXywLq1n2iUyyShTJor2xWN8rup pEm7rr9w6Y2df9Uoh0kXNEqadKK/our9Z/+mUdKklw9yuwiT0i1F/Y1NWze3tjKR4V4iw71EhnuJ DLc9hnuJDPcSGe4lMtxLZLiXyIhfojRLK9/j7R1d25nGo8yRHv1iSbVCGTaqc6lGRc3ptqi80Yl1 1etNLPQGM0C5QX+Q5jyXsxDCBya1TApl4R33bjoJxB8hLAc+YbKU6dg2HkOXk4b+K8PhEHLYMO1z QsvaKsQjJfMFn7NDEL6ItpEHAoVct1R5/lbhXUUoQWkmJy3RzchjQo/xsyHUqvnxbCVPdVIqy0/O 2QDnYHRPRNkaCdiq3R9lu9j08DotMdkLNSanT5/DteWg2ovF+ghjLK3BzJCeeBf4ZtA8h9zrc5gz Xc6IbzwjxyxIMJK45QhWhXkJ19jIeM0yp5FhKG7fwm5dA32/Dbs+Aer5GIusxkkZJ4IcKQ2HdynW u3kImWrrsZgMM4MSNRZwPyBsRjf8JJoK6ovYpGvAuwOnqhHKpECIpY4P5l/S43tJ5apOQ84jujNY HN9MaIjVnCawrqU6+POcFIdeQUrFxnSwldQMudIVI9fA7UqLswUqZrMPBcXE7xE1gQzXk6pqn/ja j2uC+patHe2d7c1doaUdm5/ZHqqYLwPZ0tqW5uZyeQHWr5YjRYu2b+7oKlpA/6o4/uzw5QcDJnX7 ffRWWm8K5/IcOGvhgTe8YemdbG8W56TYFsmy0hmclcaMJ8hLw5yXRomSZKZ5nJnGUyXOTedzbko0 kuy0iLNTnjrs/LSK89NYYVaOuR7VZwfq3y0jrINRf8p6nu+wSGR49eeDgNYJ6tnQ9f9KaNFEnajp imVdN9x23wjqX951R8whyYbdblb+aLdbkT/cCmUeVyiOTTf8GmVabI1CPlGDtW6hzVj3oUffHXQ0 pppxjZ5NOpcrm2OR79349cSTuKQse/bj+G5Ul7gubTi2ULcztvx/lTjp+t61NlayMsc3aJkz2dps AbpT6hw7awrSHVPoTLILHbozKp10u9Kh8Sl1/uH/RjCUdSAwJqVOCUqdbZzX6d/hPMggreKEMe7S h7+HDQp1s25F5OsEtFMbJSuC+NmToCBizpvs6sVZHg2mAZdIbI1fNEr5HHdbKVml5JYtbJ6JZC9G nOHvlq18OWTnyxcQrC7E5Mv1FDJpyKzZ48qacyV2bHg7i78XsLNqIeALbOnTccXfY5jyTdB8NlHB aBV/2WY2n1p37Uf8XXy91nK0ysPhSXN62oC7NuBuDuAgHuMCsrrelh3vaf69gH93cHs60Q6MrSad Ml8FXMTQEbwewJo8b7DMryWUyfIqkshMdu5YcnQHDF7H+nHaWavYatZvqkB4PeI8GSnySw51BQbg zVTTmdwKYOppgqQMOmQaemQbJagRjXRJk6o53HqdeLfdnk3W7aQyKqHfrV1ehkLt7zjm2/l+4vvW UxbgFErtLt5tQcN6EgaHRebiFWmy58jOIxONV8URWSNmS3yeUBKjb0w1QXJS+Ci/qAyW+V/jUx15 rZyewvKHClSMzGuOoCF7xcfUOYbiIwwjvHp3Z1fTTmpTdCKBpjw7kWbMKdPLNhJZckY+n7Oa/xjR 1Dis5ypfZhi5tCfOyypNnGLkij0Wjehw4a6ShbtKFq7PxvXZuKM27qiN223jdtu4BhvXYONybVxu FKc1YF32CoUrdOAsukLRb+P6bVyesHB59ty9IsrP8pbVLG95hlgHp08Tr8dPxCuoXLyjxq9QfFeE aNeo8ZstXpT8+O2avr+6Q2qe116jn+txXZ5qvj7ZD4DOudsiDv95NYWtgZ7rPNt8Q+R6fJCxgn5B LKuRjsh+hW2lLT0SoahVw7HdR05blAbJfGBZ259Ux37odJ6YopH+KPsVcSsxVlr1DKrVj6AVUxyE Vj3yfXy0OjWoViehFVOchlan5Pv4aHWUriXV6hodxg5litfoquwPj5uvBtPqJLRiitPQ6pR8Hx+t zg2q1e+gFVP0Qqtz8n18tDo/qFb90Iop/gytzsv38dHqffBKplWeeIcKBFOcpVzZvzNOWvUNqlUv tGKKP0GrPvk+1lqNFf/EN9/o8Y/NvL58/A+Jn8n/YEyWRauv7kpTM8UGeU8XU5r8T7zS1H9SncyY i4tKgUux8W/b+LIYfI+NnxeDf9rGL9B4JbGGlMQSmzJTU5bYEkfFK0Pm06PP3/J6Yl9Xiq44X1eK t7WPymN8VClmiFgfVYo2oXxUPq4+iu9HX973Ra54Spx37U9T2t0sLsovc9V3x5Nhd5q0P2XM9Rpv P3xItdRCUxP6QdWo+zz7PLpGNa0a9VfPK85+vU/+QllyD9m/H8RoMgC68fKblaWrZmnplDqgKwKr WnfW9In4O2mHquydVtxt493+B+cl4hkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAMgAAeJztWn9MV9cVP/d9v8D3iyKPClgtwlfAgogUUFRKLYLi r2lR1HVuthQVJpaCBaLTZe7rpkuWNV2yZWRmy2od6rL4x6pLp4nZbDs3u7hZEpd0yZbSuibNtrQk XZa4Or/7nHvvu9/3/cUvkdS2Fw/vvc8795xzz7333HOevHEtY/DFl2a9TVHtUfLQ7ZCfkl2Y0CSb TWTp59uhUMiBQ5+1e6r9D+TXc+jFNQnEc54C8oFS9bspuE4FpYGmaQyBAAAAggAAAIMAAACEAAAA hQAAAIYAAACHAAAAiAAAAP7///+KAAAAiwAAAIwAAACNAAAAjgAAAI8AAACQAAAAkQAAAJIAAACT AAAAlAAAAJUAAAD+////lwAAAJgAAACZAAAAmgAAAJsAAACcAAAAnQAAAJ4AAACfAAAAoAAAAKEA AACiAAAAowAAAKQAAAClAAAApgAAAKcAAACoAAAAqQAAAP7///+rAAAArAAAAK0AAACuAAAArwAA ALAAAACxAAAAsgAAALMAAAC0AAAAtQAAALYAAAC3AAAAuAAAALkAAAC6AAAAuwAAALwAAAC9AAAA vgAAAL8AAADAAAAAwQAAAMIAAADDAAAAxAAAAMUAAADGAAAAxwAAAMgAAADJAAAAygAAAMsAAADM AAAAzQAAAM4AAADPAAAA0AAAAP7////SAAAA0wAAANQAAADVAAAA1gAAANcAAADYAAAA2QAAANoA AADbAAAA3AAAAN0AAADeAAAA3wAAAOAAAADhAAAA4gAAAOMAAADkAAAA5QAAAOYAAADnAAAA6AAA AOkAAADqAAAA6wAAAOwAAADtAAAA7gAAAO8AAADwAAAA8QAAAPIAAADzAAAA9AAAAPUAAAD2AAAA 9wAAAPgAAAD5AAAA+gAAAPsAAAD8AAAA/QAAAP4AAAD/AAAAAAEAAEuAMkD3gaaDMkFZoGzQDM3z Wft4tybqwk8vBaiBOnHtpgPRoWDYlo0V48jieODxWRK/pF6vcvM+VXPq5//J+43w4D6Y5cSURuqg 1jHpdLdUsoR7PKPtl6mv9XL8T9+Rfo6BvHdGq5/5X/c79yug/xnaCz/soD1j1n8fovBYxz8PtEPf 33bmjdQYovc/m8kxIHr/p5M8Aobd//eDZoJmgR4A5YBmg3JBeaAAaA4oH1QAKgTNBT0IKgIVa/tK 9LUU1wWgMtBDoHJQBagStBC0CFQFWgxaAloKqgY9DKoBPQJaRny2EdWCloPqiNcAYRaIVoIaSC3a 1aA1oLWgdaDPgdaDNoAeAzWCNoI2gZpAm0FbQFvp3op7Qh3j425+n4+CSUn0jv/1lFzvLKyfGfmF +QWlBQXlzfNqthc7D9vn5XrzsLJyXG+/1NS664lIlgAW3mwHKCuPlIFn5pmLhZkfyRMlSTNWUQlV NjNaEnB06sftxVqlA+QvyJdvlzejYym2yLzmYnevyC5R/MuolB52K1JWReqSRrnU1daGBSyi+VRh FDq9Y7pG9avAjjuOCBL6+kU1h1uT6rrbWzoYv5IA3y1Gz78MO/u3odO3B+23MnhnnZNB8yimSDCf JQODWgAU5AVwxrKw6b5H78itJwMiyYikf3F4kghuggzpX8Gg/E18c+nSJVxwf/UYLVx4la5eDdHZ s2epr69PrbjgJfAouTLcuW4kyn35ei1E7cAHQ4N4HaRTfxiiv/34HJ377vt048YNKum6SbXn/0hr jiymHzxXR88/WU/HdxykHY1npK7ZD/2aitv2yYjQ8KigPcXT6Wj1HlpXeZTq6+tpu52qdw6Pssn2 wik2LURMfA6BVODnQdtCWN1se6WvtsjrFNpqJ6skWnhlAJXNt7Grp723vavTIwOrSbK5Kci1Sd+o VZAnDA1qyBsLJcVCrpz+PQ2lxEK+WMgfC6WGoaFaL8K7tj1rbWdva/fero6W3tZdG7tbd7b36OEJ 9/CGahVkxUKeWEgO74lN63yf3/quhuTwFsp2Q0PJsZBreIMaksMrmHlmxu+f/auG5PCaPzr/r98Z SA7v3EB17WVAXpx82tDkptadLR0dzGS5x6PmxoqdGyt2bqzYubFi58aKnRsrdm6s2LmxoucmzbEq 6bGu7t7dzONRtktffbhquYI8BupZraGw7UGHK+z4DxuWP25jVrfZPir0J/tpwf68ZVA+lN6eHsjB Mw7caSQQePif0vgFmx05G+mDR3mUl4C6W4RdIeRryzYbhNZ0VotHKpYI3mDHYc8K2kUeKBRyklLl xtuEZxWaBKXZnH3EX4XMJzQf31tCaU7GvZNBNUgL2JbEWixo8YcXQ1isFUesGnhY7Erbw3O2yub1 U2dzDvUBPF8FrkOYuLfxjrU12pnSM68BbwPPfiRgHyARmy17RDfukWeXxHkTv+UJNoVliZh345M1 155FlqWkfQUrdwvs/SrG9S6gwxEjchpnZpwNcri0XN6lSO8WIW6q9ctqMu1MitdYwQOgfDu8+NMp C9wlWMPdkL0PmWwTjEmBEsecJAx/Pt734D1/CeGE1T2Q6wjxTI7El+IOxGnuIbCtlfoE4D4pLrv8 lGpPJZdYyc1UKF0xfgtiXelIdkgFbvahoIggPtYmkO16UlXtE137cU2woX1nd1dPV1tvYHV3y97d geolMp6trm9va6uSB+CGzfJN2YrdLd29ZUvp39Vnnx29fr/PpmByEp1Pu5rCuTzHz3oM/hfefOmY XG8O56RYEYmy0jmclUa8j5OX5nNeGmZKkJkWcWYazRU/N13CuSlOm3Fkp2WcnXLXUeentZyfRipz cszHUX12o/7dMc46GPWnrOf5OAiFRld/zgcd02vO0vX/RljRSj2o6cplXTfadv846l/OW/ZkjEHJ CG2s+ie63Yn+0VYoi7lCcS260dcosyJrFEoSdZjrdmrBvI/89rVh30ZUMzFvryTsy5XNqdC3b/9q 6ss4n5zxHMX23a7Ob13acGyhoDu2fLpKnGn6yHUWVqIyJ2nYMsdsNR99UuqcXFPn0Cey0Ek3hQ7d c5VO3GLkz1Of8gdynveNUIyo0QhdBb2QPrpipALFyC7OtvR/kXmQ1zklAyOxxQl/wswSa+Un91aE pb04fDsQmvhplz4MdyJY9YC6wJWoZOF7T5zyhTU2m1rDXcwMZxkXNDzKZNEk9XOo7KBEdU2sbmFk xtO9EqGBPwc72W3AZLdvIr68GZHdbqCATSPmuJ6YHLdQondHtrtU68Mar4eCt7AYL0aVao3o8mXw /ANl2vsf61It7CULQ92Go9CHZX+KS7XlG4zkaC/x53n+zB/rpXirJ7Juc+s8B5qJ2xOgOdjBhy3W +cW4OllfMIFOThezE+6lQJzdxDaF53X4WjIZMtjeyIoyopaypklUvb/Demqym6zbSJ2oQj87bl+E RP3vWFXlGaQODc8PfXyEquXMId1vOXfC4j3GUrwiTV45TPCbqdYL4oSsEXIlXiSUxvATc02RkhQe lhfWwX7+yHpPb2Mnp6N8+aEaFQPLWiBoxKuSY+ujRskRlpW/+UBPb+sz1Kn4RBxLuXc8y1hStpfH SOToGX9/Ptz+a4VTo3zdV/ky0yqkg1FeVqnBdKtQHHR4RLfBvqGxm+RgN8nBrhnsmsH6DdZvsAMG O2CwRoM1GqzQYIVhTFvFthwSCis1WI6xuVQMGGzAYEXCwYpM30MGOyQcbznN8ZZnhHlw+zT+fPxI /ASZq3fC5JWKb4kA7ZswefPEN6U8frqlA2owoPp5I1ZRyOWXJHkdMqupMeFqaqSThuekwQYM5sxW n8H6DNZvsH4XdstgtzR2wWAXDHbZYJdHwJwVwWNQXtBFmPGeGqvX8aJ+w3GJA3ahJwk919PXiCU0 0X55XW9myMgMhYxM7yjnzfF2WHOi+Qv7ODp2OjaehE0/I+ZoohPyuj5qFd09qwYSWjUAK64TczTR n+R1sqzqG9aq78Mq5jgGq/rk8+RY1T+sVS/CKuY4Dav65fNkWXUroVW3YEWImOM03ZTXybLqwrBW vQyrmOMirLognyfHqsvDWvUqrGKOK7Dqsnz+dFtVJBJZVSRepRLBHFeoUF7vvlV3S378U3vi5Edm jfee/OPip/Kv7xJVAOpTU2Vqttgmc5FySpN/RVaZ+k9qkNl+eVklsBSDv2LwRRF4n8EXR+BPG3yp xpXGOlIaKwxntuasMBonxCsj1gITL9/xenxf14jeKF/XiFe0j6oifFQj5ohIH9WITqF8VDWpPoq+ Try+74hC8aS4HrM+bTnuNvEX+T1SfevMwLjT5PhT7rpdk+2HYlFPcygrrh9UfX3Ec8Sj62vbqa9/ eVhJTpa1f2VqgciRf+Xp/vYdMB+/3VYNoc9k+dDJ2FVzLHZrHdIVkPPVwf1tIp58N+9IXyjco7h3 2v8BW20QGwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAHic7VZBT1NBEP52 971CC9JSUQnx8MLBC9oUCQcPGKO2kUSwKYQzxZRQQ1ugRW3igQhB4sF48qom/gAk0XjwgFcParya GPTgwZMxnjC2zu7b9ywvIi1RCUm/Zt7bmZ3dmdk3M9s3r9s3Hj7u+gAPTkOgXPHDVyVjmhRCANd8 uVKpOOJKA/sKP4hM/Q0Nevv0uLzHfjXwf5BEnn5FWIghR+85lLyt4I84DNOtedkP+Cuu5Ov2dLxa 90H8Sfbr6AsmaHzGcHrKJUwjXZfNagTAWXU8ta7rgGP/HMWfxQz5MYErddsPk33ZA2VMtdqX+pN6 zHX8CTr5NAqIql/t6NTxG3XYl76+tz+TqnWOX/Uve4HsAU1EzUR+yDMGWohaiQ4QtWn9kH43sH/B 7Gt812CUASJg55639o/QYyhzeS5fyE8WrdjsfKqYyeesvkhUpdL5EVem0sthIn34dmpttjb70q7M ZwN2XSk/9FyQ/BqjZH7E5RxlskgyqXlIzcpM9ytVuVZWsZQwThsoSYR1KkkvZ1q7hTvrWvm6afnD NDrmC6JLV56sh3UaPSPaoOK5btp1I3VaMZQqTo2WZqjVrTEAMgA3AAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIAAIBAgAAAAgAAAD///// AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAiQAAAAYDAAAAAAAAMQA2ADgAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgA AgH///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACWAAAAxwQA AAAAAAAxADYAOQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAACAACAQUAAAAHAAAA/////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAKoAAACzCQAAAAAAADEANwAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIAAIB////////////////AAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAA0QAAAL8MAAAAAAAAMllVm9yuMIluZfEEs3fv4B/FRSFHB2l0 wXRkT32ObK3Z2SHk2YHpHcCP6x3A3zbLiL/zhbKte1d1LIMjNJrJpgvWcPqalcxnUzlgyd6FK89O BqbMWJPUTbr8OyH5hObHeVydehxeC9jBglD+fnEtjYnPylK/y99WfMTlX/okH3X5BWOrvmVs1R8X 1fo5dt+UfK86MY+ndEYIjZSyE/lpcOcEbP+EXn/WuKfW97iRb6pTHFDdUX7hAHQ9AdpGSHVR4LnK G8Z590ipUExnAe8ZiO3Se0ccVe7f+TSu+dWlQSRuDaqxYEywAAsvxiGCDC0M7Qjw5QGINunOSi89 Y5jFPFJ082foHszR/4BhzV2t6Va2yHp1P6nF5yDRjd0Euw3qtf+3sZ/t61SIgt+MgK/0ExdeTNAE X+75/WTyH0TQwF7hJzREZ3cAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAACIAAHic7RhLbBtVcPatY2fXTpvYqZuWHJYeOFRt1NIemkpFiWgs goiJkt7BtTdiI38Se2MrEge7qVDVAyBOCOVCrvRSDiAkDgYVReIACI4cAAkhbnCoODQiZua9t87a ctLdxkhx67FG771582bmvZk389Y/fD/y68f3T/8GbfASqLDb0CDooiluhmEAJmm7jUbDmW/0oadg AQr4s8GAGchjW4T19lA4EOIw0PQ5xQP7jnF6XUwn3Lxv/njv/kPtgaJjfyrkxNTrkAXTl0436MAU 9368rhsFR//LuP8crKAdN2HZt/4o6qe4V0HEvrc1AEuyPwOrsAYpPHkL7cijH5JyVPZ0KgbqD8De vfOin/Z+TriJ2/0vrtuVuB9EpI5jsj0O4t73obeBfMhkHFAcDSBSzqfrOYioAd0xgDAixcAQIsUA +R9LAIzIOIjJ9gRQTgA4iTiGeArxNOJziOP9mDlywGT+ncfMb0IJLvCfdxjDV4Bbnpc1lC+vBHwo eQz41d9t6GX93az/lEMOqv9TjUefUP2nvNLt+k9a/ey/i/Xf9/l3u/67391e9Lvrf3s+oNzvfg9Q vg9LPid3ax3W9aE34fD5H3y/vymO+vn/aOjv1nus//7rTcDawQYPGXvOt4NTh2RpgXF0+FUsIP+o NIdVQ91R6EtjnM/Sl4bGnJ6oYtRTGIrgvQllTNLCTb4Ig0j1FFXQF4LHMbJIn/gSqWNvC3EKQ24r LKoW8URgLmW/dWN9Bctpne/1ERMrQNp9XhGyR1mcLYWoF8NeICZoRtChGUGHdlZ3aGf1P6K0nx1W 3RUS3+c7CTAYvmHlzJKRNCvGQiGXysPn32xX6ohG/dsKYJYVuhX+nfWifld/LU7bTExrfFwNZuLE MWeVSu0a6MBIw+J67mYhC5UpJEyO6Jc7a2C8/dul6dwJEnHeGuQnpIOMBHlHd9gwiOfZl/zcFcbO LK6XbDNHIx2eh7ucmSZX/ozCF19tV9o1qfvES3I6Ocs7rGYjGgpmBFWXcdP2djzJd58uFkqFJduY WV1L2VYhb1yauMA/Ra8vNmnc2c5g4hI8nPx01a11Y3ofc/h+GUx8PSyD9s5mHB78Fed9VVFUXQ8E FIXdmgd2q4hoIqYRLcSSbAuIeWDvXAP1GJ1WbQF3hoy1rGzLiCnEvLNr2OOhMQquWS5eajMtkg7g auFLS01ZgY83SRFufGLo3/+jcv/fGNG3/d//Jw/JzsENPOjYnYvYRs9EN+YgumEhljjS+kRriNbw 9tTWhNa9cJ2VJhR93KRl1x2wW0xOSjXtK7xtIYGm8/zxf/v/7UP5PxnVP/Lq/+vc/9esZuTFWseX g+5xNfhqM17EeDnWOt/KX2bOuIPdvk5G2M2adidHScRFK8zHn4V/CtPMgpk1y6m8rUnqpEbrkgXb EHwfah8MCb5lM22bmUFJvTJE0gwzIsfVEP3TOVssSnlhqXVToWqYSGWzhTU74+w5K2xJCa57ofd0 ty1C5rsDxpDGqXbRMstmpkmvhjQXt2HrUuooC3J6GrUJ3i11Xu8k47bSWfZtpV12RHrlKv83d75o pq0S1kmus+//Z9v/h33/2b8/Xe+/V36Ow+Yvz877r1//vdf/pxH+A4p1o1sAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJgAAeJztmstvFNkV xk91t59gXAaDwdimaYNfGON2w5jHML42r4QZ8zAQIDCxAeNgGMBjPC9GCp5FFpGiKMoCyYsoZDOL KAuGVRaRYimbLCyFKP8ASaQou1hRlEWi0DmP266vuxg8kNlMQpnbVfXVvb97Tt1zH1XF49/WPfnp Z41/oJLtDUrS03wVlYMW+KRbSJTw50/z+XxBzr/avlLbvzk9hVTGbShtXsGpklMVp2pOKzit5FTD aRWnWgsBqvPt/2r7am4jdJv/ZihNh+gW76fpo9Kh4LnbOipb6vMyHiQrE6rP2+XDmHds36c/+8em XwXJ6DqPH8fpHbr6QnXiVs2jEPrzRcvVL9V/gP2/SVNsx2W6/sL1r6ZEIGOg+PRF65f8l/3xWa59 mm7wubTDjZep/4X9T3HqaLTjp77dXvXh/88tsGn8pbeAIydZbbFf2vfX8M/w5JXp23duT8ykj0xf mrqW3tOvU8uRocmJiV06gwyf0is9B65dmp7p2U1/3/Po3f/Golfbi2xVlSHNlpfRL2oWKgbJ5v4h DomHqYwGRkuqiUf4BqLMlkxrd2tr72jnvosdhZOLnS2pzVymqej6hZGr428XZ8pwqzdHmXp6izl8 LrnaecmRKc1VQvNZ+6mL+ohGRe9KF2r2pxc7fMUFIbM9o1fdKBftoU7+46JYrrhQSYkB6qa9xZWZ bcX1qWlQ5cBAhHiNtlEWKi2UjxUuKZmlRnrAvSx/75e+n5YFgzxjTNIlnjeXv/rr51ztoh9y98/f k1+ZFGoCmwsn6QqvB05xrlt0h4+G+ThLPXQtQFZtcJpz3uS5W/Ic4/0HvB9RgpR8mRKN9JvPtXc/ z3Wf5r/39G7TNl50Fu7hdzlkHkvuhK1TLZ5pFuN5LKym3I7fbxA/k0tnYlsZnEnenycStJt+RH/k X9l4UCOdUv2PzK+q8MGsSP5ndlZ/SQ7m5+d5x8cLc5TLLdDCQp4ePXpE9+/fN6cmTMsr37P9gapS VvacZyEvaYEvz9GclJnjsnO8F/ZEnnILC6xzbklznCYYPzFndeUmKDfHQo7/cZrTxFpO7MrRxXCV rlrMS9lGwhQFiZByPCx/nwMi4L+2MMFd91Qoa4Z6Oq37FJ0J/XNhkNKnAWssmrk9NXklpaO6PidW 0InpyZuXpj9KadtoowY0aGdJOxtK8TOFf6pM0Uxfb1+SHy6C6EGTHr7rTIomqidjXkouSY/vOiEl gJSTPAkgzTpnEkx5PV6KSNSmpCSQdkqeJJAef+hMikjzt7wUkR7OKCkFpF2SJwWksTvOpIg0dtVL EWl2TEllQHpN8pShd0ecSeDdbi+Bd91KKgdSv+QpR9KIMykRlyKS+4aSKoC0W/JUAInedCYByXkJ vBtRUiWQ9kieSiDNn3EmAWnMSxFp/qSSqiJStlfyVKF3bzmT4D6d9xLYdE5J1UDKSp5qIPXOOJMi UjjlpYh0YlpJK4CkMb4CSOkrzqSI9OCyl6DtLApWAkljfCXe8V3OJPBup5eA1K+kGiBpjNcgqd6Z VLRANAlIoZJWAUljfBWQnkw4k6C3nPMS3PFxJdUCSWO8Fm0acibF4qkWSUNKCoGkMR7GoyBE0hEv gXdvKqkOSBrjdWiTFavD+7TeS0B6Q0mrgaQxvhpIDyygVyNpccAk8G5YSWsiUp/G+Bq0yTr+GiR1 eCk2FtQDSWO8Hm2ytqsHkjvvJSBdVNJaIGmMr42PKmvRpv1eAtJbSloHJI3xdTgjvO9MgjHztpci Uq+Nvg1A0hhvQO+skzXER98GID25oqT1QNIYX493/IYzCWapcS9FpLFvK2kDkDTGN+BYYDZtwN5y wkuxKGgEksZ4I96n95xJEenhjJdg5rT7tBFIGuMbse3MgI3YdgNeApsOK6kJSBrjTfHxqQlJe7wE UbBPSc0RKacx3gwkZzNCM/bgYS8B6aySWoCkMd6CNvU7k2JjZgvOLW8raROQNMY3ISnjTIr14E1o 0+KAkNJA0hhPo3ffciaBd2e8BCSb7zYDSWN8M9r0ujMJbOr2EpDSSsoASWM8g73lmjMJIvOCl2Bd YHe8FUga460YT4ecSWBTm5fAJqekLUDSGN+Cc8t1Z1JESt/wEvS760raCiSN8a1Isql7K450F7wE 3o0qqQ1IGuNtuFaxtmtD777mJSCdUlJ7RNqpMd6OUWBr33ZcF4x7Ce7TDSV1AEljvAOj4LgzCWzq 8xL04K8rqRNIGuOdSDrgTILIPOwlsOl1JXUBSWO8C7076UyKxVMX2nRMSduApDG+DUiLd51JEWnx Qy9FpMUPlNQNJI3x7nhkdsefEbrRu4yStgNJY3w7xpO13XacW8a8BHOLrel6gKQx3hNf9fSgTV1e iq3pdgBJY3wHemeRuQNJvV6CyLRRpRdIGuO9SDrqTIqtxHrj43g2Iu3SGM8iyYa1bHxGyCLpgDsb 8mPh+bCSjgZHg47Wtev38zr7UPlUw46mH1TKJ0tec/JDfdBUeHw8Fwqy2dZh0ddLubqTF4eBXk6E YVTJ7Hii/k8jgTwBP2Bzm6mPxsNKKpROhrKIDngRZYstyXdSrgf2LbQmlPVdRXBC31rIWw35niI5 Ap9DjhOBeSrHSX9czseFt/dCHVXbKkJb68tzXyUNUzXbaq8L8lp/mh9ZVmjOqrB+yQl55B3mv3E+ Fj8PaQ45er79CbZfnguDYBBsTixjc7BEeo7N+cjmmi/V5uSSzUNgc3IZm+0NwPNttvc9ZvPKl7Q5 6wO92GbuEaGskVYGOR4KDnIrynu3d+g9jphbfLYTPEkt44m9bog8KbbjYJjSteaWUDzeGvJqImF9 4M/s2u/y0feiz9iPdGik42F98TsSv8m7oHLww+oQdvJLYZfF2IdDuceD2qtynD5mZ7P8gChfHJDW z9fu+mspvtYcro7VYCXScmf932WfC/9fw1+pJdR1YPAMAE8mw/RN2qweF2JGtijOow9wx1gTH8SW OExs2RR2FYvunrOD835/0BUu1QVmV/KZdrVyXaR2BUV2VbEet7aqxFq5F2htvHUKd478yLr8PRJW PfSVUlqD9tp/csqE1UtXamlvuIofLGXhPc5/fXy8lik/5qq/w53zeIqoM5ARNrHU/vK+6yd8/eOy qIblorFgxedFY2kc9ul7z6SWefb4Fm93TGjPXzhOLzH6bxVEa3j/CeffW9I7JC4b+dq/xBey3pEs sqomPMi/6aBV36Bf1W/o7+tbdPmWP8Vn07w/zePKlH+ff5lnojQN0h3+u6q/8uW5PSy8+CvYSgl7 l2PvF2R0idrn1fa/tv0HoDEfzM28vnz8D4mfyf9gTJYAbAAAeJztHG1sFMf17cd9+Dh/hppvcwSH bxz8AcUioT7bGIOKcbCBoAalxhxg5PO5Z1MKUSuTNgJFQSJt2qQSUkrVtFWbVpCiqJWiQFX+VGlV RxTUKFLjVGnVHwk9CIUGAtf3Zmb31nt33NytAUXZZ7+b2dmZ9zHz5s3M27sd/Uv52IlT098HG6wG DW4ni8BrKVMEMigDUMX17WQyaRQnXfhMwS3EoBhDQg/macx9iH7EIsQA4iRRZwmmJYil3ASgHLEC 8QHEyYhfQKxEnII4FXEa4nTEGaL9LEyrEGcjhhDnID6IOFfcfwjTeYjzERcgLkRchLjYImMN5h9G XIZYi1iHWI/YIOq4IA+bIIZ/wzgWa2AA0zgcsLuCO0IleMw5r5PtFKms/Cy/3Wat+9VVP/3Ftdln FC11H/3HRuiHSF48rRAAVbHqI9tuskhroRt6YEfBMpSgFyQfSDrJ8qd+YpMHSP8W7P8oDGI/7IC9 efOvKEB/ktfgRPNFBXfefF5B4ct4waCg5WgBbvv2uU/+f0Nfbzw2FNs1HNoai+8MtcZ690UjA8Ns TdnQRWVYxCYD5WuM+zUr4Wrja19zIpkLAQEAAAIBAAADAQAA/v///wUBAAAGAQAABwEAAAgBAAAJ AQAACgEAAAsBAAAMAQAADQEAAA4BAAAPAQAAEAEAABEBAAASAQAAEwEAABQBAAAVAQAAFgEAABcB AAAYAQAAGQEAABoBAAAbAQAAHAEAAB0BAAAeAQAAHwEAACABAAAhAQAAIgEAACMBAAAkAQAAJQEA ACYBAAD+////KAEAACkBAAAqAQAAKwEAACwBAAAtAQAALgEAAC8BAAAwAQAAMQEAADIBAAAzAQAA NAEAADUBAAA2AQAANwEAADgBAAA5AQAAOgEAADsBAAA8AQAAPQEAAD4BAAA/AQAAQAEAAEEBAABC AQAAQwEAAEQBAABFAQAARgEAAEcBAABIAQAASQEAAEoBAABLAQAATAEAAE0BAABOAQAATwEAAFAB AABRAQAAUgEAAFMBAABUAQAAVQEAAFYBAAD+////WAEAAFkBAABaAQAAWwEAAFwBAABdAQAAXgEA AF8BAABgAQAAYQEAAGIBAABjAQAAZAEAAGUBAABmAQAAZwEAAGgBAABpAQAAagEAAGsBAABsAQAA bQEAAG4BAABvAQAAcAEAAHEBAAByAQAAcwEAAHQBAAB1AQAAdgEAAHcBAAB4AQAAeQEAAHoBAAB7 AQAA/v///30BAAB+AQAAfwEAAIABAAAyUIEreQBH8SuYGoZQDdB0Gb0CprgX6ED/FEcP1YM+khuL DtH2In01KE0KXq8G2iW0o//sgZ3Qh6vIblxNaF32I11vtdI0D7ks9x9qXuRtWb8ANq7X4LH1Wpok j0C46UryBKa0qrQivV1IcR9ypdWpE/NxxN3scxD2YFkbSkZrlh22IHrYNkUHYeOgh3iaqiEAnfEW nftvyneIa7aWWe7Tvgj3PImVrJE3Qbat+lN7YAPpugmqLpNFJ5k7TsLIyAhcJ4+PXZz4LlDOn/Ab jXQirCWWMQZ6YgErL0oQgaDSqIxqzaqxWKkQYO3AFEhPNLNB5OVEi9TugkkJ2mSdUcqQ11tMb9Le D7pGG7ovaQrjXZ7QIbWlfxz4ts/IJZsmiXvUXS/NfBsUcZ0ylLNPqWWWPu0kHk2899ZWHiPnono1 j+5RNf2wzc+8LNJutJkojvYQjmgHpvsx3cTWxB4cXYDlSEcFj0dRFZ9X9fhEszILqRH66MKdSxTX 0Biz0/p5jPskr64SZOUeRnvqE7bd0kZttFKfqmnUxm6jRkfxFbsPelHSLiYlyb4B87SX1eGy/wia xyhy3MOajM6o3/U2Iu86ZRxFZpuglaWXGiWnrLdcyBNe8Z71nYbTaCLfWjbx1MmoXsX9V4WtvBx3 0/1sTznALKMGP7ewnXYcPVeEWbtMHRdccMEFF1xwwQUXXJhY4FHHCJ5lhvH0FhOnJ3moBEWhXTCd lZPJzPFHI+5rpNZ7qoj/duKul3a8y9ifPEwtIP5ZjHh8Fs9vZfvtndCKaS/sYyfRTDGFbDAdNaCj OB1LZfnPpA9xfvXgqZG4Rll84wCsQ+67zIjLMJ4yY+wUnA0WCP39efCvtvCnNnTONQIBdG0cld+c D/B37Kcds1hIAo/Gp0popEPsLgUl5nlLoYq10dk1xfBKbDE/6p1JKtcVIKiW+HqLqAduqmUi3PCG wVDtOjA0HInyJ09BeFah+L7Xkicplyqckqoooi9vqtuE3pyS3gTNLbFoX2+oq2dgKLShCz7av+jp j/af3f2f/d/WA9tSlBRGicKWSZabrAaxvylXw6iTpnUBKivhUXvoLSrxhYeGIkNDsXhobTy2b/Ag PIZ/29nn42jH7Th2nZjbCtsEJUP3yeqiw0deT8lu8Lbqky7PNG9KnkohzzSvD+U5hzcu+v8LG78e iff3DHY+w+ToxJPk9jx40xh8ynJJYQdLcUZTmGiWdw4kcLbQ88FHzHrcyHg9jY3UDTO2khTluuBJ 7Sj3gFqMufF1DRoeliawTTrvoOCdLzfAUbCXBU064zkmkGOuPgjCoIdoysrRbsrxW0+hPBWmvdE+ F0+qaeh5rmCevL9leYLJE5CnvSzoQPcgVGhg6pFbjnOmHBf9hfLkdm60z83zot+w7Mw8M/Vs/tQB /uG3lwUdaLlECUKx9IwqNmdPo1L47OE8Za2q2LSgRqVwC+I8Zfu72OzbRiV732b30msU66pBa1Jd gMomWVaNznhftCd+IDQvFEbv3AkPw9PMWz+B3iKKeHACVos1yjHLalEu5Djm1S1y1DTU1bbjHoP+ JnKNSFlIrt6mmry32xxYFfnkRkXWJ1NN51bF9ZS1ZKpp6OnMFzYqsr6Qaua2ZDk9ZWcP1TT0LJzn KpyxbdI21Gba0CG1cBviPGXHs80cz0Nq4ePJecr2bZvZt4fUQjzTc2q6Z6KyzJ6pOaNn6psAz/Sc mu6ZqGy8Z2psuBueaUSVtSqqyXv7qAOrIs80osp6JqrJeY44sCqup6wlU01DT2eeaUSV9UxU09DT mWdKtc/N05g9Rx3wbMMZe1Taho6aNnReK9yGOE/Z8Txqjud5rfDx5Dxl+/ao2bfntUI803ua1TPR 90frArws5RHC5JO0gxPoh97T0v0Qldl2SCvuhh9K2UOuvqWavG/HHNgQ+aHzmqwfoprObYjrKWu3 VNPQ05kfOq/J+iGqmdtu5fSUnStU09CzcJ6bcX6OSdvQmGlDyz2F2xDnKTueY+Z4LvcUPp6cp2zf jpl9u9xTiB8Ke9L9EC+z+KH+/lA9+qEa/GvPwyvciWu6H6KycX6oftldOak1eGRtiGryvg07sCHy Qw0eWT9ENTnPBgc2xPWUtVuqaejpzA81eGT9ENU09HTmh1Ltc/M05krYAc9unJ9haRsKmzb0fa8T GwpCqn0unlTT4NmeVnYiixz3nqPs7CGasnK0m3IUbsl8hGVnT9icPU548v6W5Uk1DZ5G7DlVdsKR HBUa0ZSV45wph9MZJTuLw+YsdsKT97csT6pp8DQi0qmyE1nkuPccx6/1/Ong/8TTwWNs/bzT08HD WmAw9XTQvmuw0vyVnWZFd180MhTqiOwPbYpFewbAoDmmBX6YoqlbKPES8d3z+wQfvvJ72AZFJErF GV7Enwzr/HvvJbBj7469H2/9eGt62yK9EqpKAJ5/VGG4Jb3KOEgmS3PmDdjOPkfF1agtny01vijP QMmd0jOZoCLaifItaJE3MF0irnOlPjVzOkPl3w+eJa5l0mpMO9EcriLtVjQUevIfVvmvKu1g6O1T M9y8g1xGGrbIaaVnpIZ+YLl+11I+Q82cEv1ABjr26xlZ5P4A+C9Mr4g017j7sshhp59Nz0LBoGfo ExL2dPLf5f96LfKmYre3ctEv2fS+PzD+uww+8VUCn/VpFXtiZC1pZpFaH4/OsGiJj5+Q2InF5ysu vt9auSAN6OOnIE5FXIi4CHEF4irERxDXIrYjdiF2I24W68K1S9cufUgf1y79836r4AJBsGW9mvpx nda8SC1FbFm/0iysYD/CU60/wium8S+12EB1FjtottgC/UbuUyvr69aLv7VbLrJX+5212utZq71o /TJgdmrfyFrNDlUAldXKlGpF/UE/+F6o1wLDOpwCz8WpQdzwZUL/RT+o1dBR/MfJ9talebXWFGps p3FVdSLBaH6tceS0agUJaIxM4eNv9we3bt3E/+vsE//vNAIu3DfwqQpoiiegoinqlCnPNJY3rE3e tV68Y724cC8kdsEEnLIl3znkZftJZ17M9AKgz4TZJ388N3Ry7NE5J/2+BxHnHvuRpxrxoZP3W2EX 7j7cTtIWMP1IQkY29szLVz7ZuKfsl8/7YfH837xDa2y/wgMEdP8I8BPuMeAxjOPAYxo/Bx4vOQf8 eQSdtCjWQye7IkGcfjEbVPiJaIE4OTUo/Lv5TQo/+X1Z4e8Z6hY8n1D485md4qUVH+j8XUL8gDWU licea/r7IwOhDTWhLbFYfE8kMgQ7U/XwHuXp3UYdsXi0p79mZ2wYYrnaEu864G1JHts7LlbWLKN3 ACC0/YFea8TzZyM/o1Mhy3sXvkV5TchhxH/sqQsuuOCCCy644IILLrjgggsuTBR40n75nt/v0Vfi aTjf398vpY+yXLXkIV/+Ew2fZf7Z4j9Uol7484XjNTPKvveiHxYv+eTXrVjmsZeJV9UFeQJ7gMds BoHHgF4A/m4Iig3Rt1x/Avzd0K8Cj7ucBm4KbwCPpVDMiH7l/ifgsaC/Aqf9PoyP+dB7pVncZSC0 pj/SO4yZvt6hJaF1A701gDZtja3YYyx7y/yMNwgZMqVVZZb3nQfFy86rhDLdfcP9EZM0vGShHxKF K4S8qyH1XkiKdT3Zua71ybWb17Wa2oQx7UB8ChqwVTPU4V8DzqtanCd1mDazXC3+teL1UiyhN2S0 YY7SWsQGrPNFbLsCWqAec9+8w3i74IILLrjgggsuuOCCCy648PmE/wNqo2BZAAAmAAB4nO2aXWwc VxXHz8zsxutdO75x7Nh1/DFeO4ntOO7a2zYtpY3TfLQIOU1dh6ZtwB+Jl7h1Y+MkO1vx0OWjlUAI Ra0Uad/MCw/AQ5oXEEJiBS88rETeeKsMEhUCCRmp4q1ezr1zxnNmj2snAYEqfNd3Z+Z/7/2dc+/c uR+zvvf7fWs/+rDjj1ATngUHNqr1sIdpFkUTFIBN1xvVajWQq7vhcxU+xbjBYhzvob7ndRgTGOsx JjGmMDZgbMS4F2OT3wVgH93/3fD5DJOwhJ8b4MIZuIbHFXi7dijYNhyA+OYzr8cDJ2Ebvewnn41k Hi7/5J89v7acMB3HjxdhEeYxADcAMQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAACAAYAAAAMAAAA/////wAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAACgAAAAGFQAAAAAAADEANwA0AAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIAAIB////////////////AAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMwAAAL0vAAAAAAAAMQA3ADUAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAgAJ AAAACwAAAP////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAQAAhwgAAAAA AAAxADcANgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAACAACAf///////////////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAACcBAADGCwAAAAAAAABuAAB4nO1cCXhURbY+Vd0JWbUhASObIQQJsgWCjso4CYvrZ4wDiMrD wYABoiYs4bnOaHzCEzeGwffUqN8Q1HFBmGFVUWRgGBc+wpYEfKgIArLop0R8Hyi+od85p6pu3+6+ nXR34L43M9xQdN3/nnvqr1NV95yq6r5bt7Tds2Bpxy8g5PgFeOCkPxkSbZjQiQ8fgNTnJ/1+v4H9 Z46/q+NvmM7WbUgpAfPU5m0wJWFKxpSCKRVTGqZ0TGfZ5Ntivh2mDEyZmNpj6oDpHExZmM7F1BFT J0ydMXXB1BXTeZiyMXXDlIOpO6ZcTD0wnY+pJ6Y8TL0wXYCpN6Y+mPpi6oepP6Z8TAMwDcRUgGkQ pgs1tzNHdMcImIJ/M7AtLodK/JwO94Y+Cpo9OkCCNebpeeBJkoyvVZevsMtmT/jTwmPn/Vl4Atfx +VECd0JZTGXajxSQwl6faO/LtMofhvWvgKnIYzzcHnP57bB8egZSnaItn+TH6/yNWPp0uAPPqR3u iKt8KtcbQ/kk+502wEndbmfGzD/nIZQbj/sQ2HM8KarvhY598gnF5ROmT6maMnFG9pXTS6dOzr7k Z+xarhxaPnHihRREQPFIvtJv2OTS6TP6XQz/fcmyaa1hdOaI5UhO8kF1YgK8nV7XZggo3z8Uu8QS bw53jK7ezviER2+ek5vTvU/37vnjeg0em2dOxvbq6u2G93QOuv4vI8puuyVYKAdbvUtAqF9+sB48 J6meGHLkhEqFaNOiP8OoAP3+OMIvyDYl69OxebpgA+T0zeGrRePw1n4YVPSiW+33Bd8Uckchhh6X BhemuAWXx9RsRRYWBlRchBHMAFuh5v6wm0PuHIDRUy2OMv+Dq/U4TRBD0GOUQyn6zZavrm/m6gUw WdivpgvlC8thAsYDI1GqEqowV4x5ki4SFKPNJffljU46LSZp/4PRSmfFIN0RPmrGBv1CbHC2GIXX KjAiIQ3X4efd+DmC9ZPe2O+4DH30K/5HTz7e8WF8IJq2n4VdfTYFDVLF12ocQrV9HN7qS4GC/g90 nSwovlBnXbPpLIXPUoYdGU5cUmGRlHAxzIO9+D8d+DAGDgX0fxQXMIKZaoL0f9XV/D9QZu3atfiB +boaKCiog7o6PyxbtgyefvppVdGJCvOzfq1bZxile+kTZer8lOrwcg3U0D01eG8NfpLuiX4oqKtD HKUp1WCaiOon1qiyCiZCQc1EDukLMNVwQqyAeBXAWN9ZHG2pWtIxwucFIX1QgO7kCewQAv/O90mc u4z0UayTDqP4sw3c4NPzWeHlmQzr8UJxWWmlF9qq3kTznpLp5ZPKK0vv9PJcJ4G7DdxQWT4Fxdrr 1sHOfXXljLLpVWUTZuAFD5wdmBzT0VSoIAYP3d772DO7PtYQ95xhi8s/n/ZYvYaYya9LB96Qf8F2 DTGXBZOWf1W10kDMZM26c84fmWB0MZXJJNS+gaFgd16kICZBFJ56ZLuWYrmhvzi0c9GJrRpiEpf1 aXzuQBeji0n86p2r02RvAzGJr7yD2l70c6OLSUw8vr90wQ6ly2PnkFSkICbRKX1P37m1jVqKSWyq o8PcyLc2fL4n9anX6zWkLLFj0JGLL2/QEJO4axppM7qYhCiemV7yJ6XLayfhK1IQk7jiP44ljnu2 UUsxick5d95z3x/MjUyi1zfpa/Jr6jXE2pIfO2/Ct2MMxCTu+7DXpfM2NmiISXQZc9vg3SXbGEqw k8gsUhCTePXQVf383bZrKSax7pLu19z/8BYNMYnl9x9dcv0d9RpiEmvmd+y/K9dAXMD3c0bOyH2m QUNMYtLw8ilNsxQJ+yoOZBUpiEks/K6+eLyvUUsxiff2ZXbZ8OUWDTGJJZ6DT+R9Y3QxiYW3jhrR s9ZATKLq43ZHh2yp1xCXufOye2967UIl1cZOonORgphE909/fOD21Y1aikl0whomPrRJQ0xi+ON3 HvzpdaPLG9rabRSJxSfGVrx/sl5DTKLD7cVoHyWVZCeRXaQgJrGy/U8bv93QoKVUxxx83bbfjd2s ISYxb+ODV/35N9s0xCRmzxrTsHqfUc8kvq4ibfUaYhInG+85fP4AJZVsJ5FTpCAmcdMlKz66a02D lmISvR/psHPz8Y0aYhLn7r3pnLe2GV1M4jj252vbG4hJdObHSb2GmEQx9xPVtCl2ErlFCmIScnVC u8zCei3FJFbPeCrLO3qzhphE06wNo9a9tlVDTGJOYlOHq643EJPYfO4vP+n0620aYhL41Juz/6gi kWoncX6RgpjEhi8LX969pl5LMQk1rDZpiEnw2Htwq4aYxKLOJGbUM4mLfv7eiKe7GV1M4sAfe+x/ +PdKV5qdRF6RgpjE6PlvLP6vcfVaSga6XJ2GmMQMfpxs1RCTeOLTyTDlIQMxiZ61jy754vA2DTEJ fviO3VR4ow/dxM2+JFjdZnWbvO7tsy5DW33bdrR3bOc5SbQWexYI9PP0T3cTH3Hpgi5LP2gJpWok wiB0goIvS58vUK3q2+Rj014S5CJrkWInDJ5vwwJfuEPA3T0kDGQHKdmFtvGRJrOSkAYpqMe4Wion Gbs0leLxpTGfNG0tuveXqBN9MUumc/mJ4loMjyoxLMrG4ImuC32d8lIod0V5j84nYt4sZJDOcVwb xUo54yQM7YJZCQy8iiGVJZN9ZnHHLGMmYQgIzPlylmiZvXRgP9DGXrbAXlg6/y/Ye5A9lecVxcic gtAAc08LzFVg0Frm3jiZY1jGWpJECQfpk9j6FKoHauBtoQYqhIi3BiayJR0YYsdcgwSsAQeN4gZk Xo7TALv1E1rgrsKMuK2vyZOTS8W/WLknIndapE8TV/NicBm2QRX+PwHzoTVJbKEmKjCJuxXUXIX7 Yjr+hddkOD6xaHMh10c9tocvG6RU8fd+VPuxP7AUuhQ1Z/sUlxLULR1WvGi6kGKzhCqDdHtOie7U MN1X+CgqH+KjzZNXUflsTC+iT34jLVjbOrx+ANNsdJVNOGfpwneEHnRHNrWN/huvpexbdkegq68r 8RMOCqA71gSgm62tVCW92FOIL5UbfiOVe57vgjD8uRo6VhXen/nHK7+4b2ahwTOE4uARAQ8TOHLY h5G9kiIw6cZWC6DUEopfoJX80A+9awEOwv/E0wpBU9xci21oK9GmUkddakJQKxkPMBLuxVFAo6EC evp0RBxWJuvCzv0Dfo7Hz2pJHMc4lknljddlJoaUSZtfbcUQuItHXyk+Acn3XI95GoflyESNRGIS 6E2ZtmdvaPtksSVzfIGA72xoj/LVSPAQVuYsTMeRsUe0s9jSfISu78Vr7wrF2F7b0HGwRAdRLY2D NmHjQEUeHlvk4fyMoIOeEXQPpc62nkCH5DvMVUogz+IrSoICrqCQ98xBh9T7b6qDVUE+/0V/ZKEG +35CNPdQ2wy9Jj6+Tkes5Z/q4++5fN63ARWwCX1uhu7UUQAfXIJD8Rq6hpNWj7cH7f6fy1dpkCZL kxOSCictXpHOnxQa0JU02V8O8FAZXRnvKVSJgTOSSmVNCg/oC5RBq24/yUO6fmbtFdqNKq8oq8q+ ruzu7BFTKkorYWUyae0r1A7vT/Ibfcdc47uGDptSUT4he2RpZVV28Uj0qUpeaPmvW5D/3q/kZZTy R7W8WsSyf8ZWnhdCP318v08vqyiLCClzRt5bNaOsAiqVXIKDzeluJxuTpg5eai06o0WKE1a04Efn rO5NZLn/kWb9VaFtwtqepDp5e8s+HgoFjTZzGG1JQfdH5hsslRgDfwjhrxZMmkRiqxgkN8PgpHhI Xgg381l77ziR53kSHpcklSkfFWNCLKVWdTPwSrWW6YgyCutoYQvBYAvBYJda2KWIna7aGHsG1+Z0 lxa596nWUzqUDZzt+aO2dF+NZCIyynbNtMcoy/4G62hhHS1sIYyy7D/GKnuUZf8xVhljrDJMm4C+ BnJMWPkgZ1vYbAt708LetLD9FrbfwtoKg6kcYYUWVmhhFRZWYWHPW9jzFrbBwjZY2HELO25hudJg udJgIyxshIVVy1BbRNdjIESqufHeW/b1eMH0sVOvP0E+KgfCiNOmX2r96qmq+nt1thkpahwENhHM OEixnmJmpHhCJMxISdG95SaYFmGkrMQrSuYhmK+xBp3LlL+DTRrboXOEnbCwExqbDXm6pxzQuUz5 PIzW2D6dy5S/hZkaO65zmXI+LNNYk85lylrYo7EEsUdj70C6NHLpupctg8Gml+lcpnwbyjXm1zlV f+O51BFsyeSQZw44eAzViubegJe7GaeIN8LtcfWRlJCnImmP1EcCreTsbf8NXsXJ7rMu8aCe4cxj HmyHufCBazxOROQhxVz43iUeNAKceTwK+eIR6Cbc4UGjzpnHC/Ar8RyUuMSDRrozj7nwhJgDv3GJ Bz1dnHnUwjvi9/CGSzzoiebMYwEcEvNhp0s86CnqzONdaC9XQWJcvjp2HvTkduaxHIbJpTDIJR7k LZx5rIJp8i0Y7xKPlWEe2vB4E/3LCtf8y7aI/qUe/ctW1/xLY0T/sh39S4Nr/mVHRP/yMea3u+Zf DkT0LwfRv3zpmn/ZF9G/7Ef/stc1/3I8on/5Af3LMdf8S1NE//Id+pcjrvkXipOdeSSKQ8Ir3PIv TRH9y3foX4645l9+jOhfTqB/+cE1/+KP6F9ATJMnXfMvj6B/iTSfDKyrODOdC/dBNXqg6OZIqqzA nFfpMvNN0hMslSHnwD0OWLhcNcqdCms1NxNXZb6BXrBlawXPCMPttgJeg5fRY0Zrtzf0vNvJbqQn WCoDY6hXHLBwuZdRzh27LUev3Xq7rYYdsAg9fLR2W67XJpzsRnqCpTIwBm50wMLlFqGcO3ZbgVFG 6+32HnjEYoxIorXbCr1+42Q30hMslSHfBSHCsXC5xSjnjt3ewqio9XZbCwPEEoygorXbW3qNy8lu pCdYKkOugf4OWLjcEpRzx25rMYprvd02wDixCiO+aO22Vq8DOtmN9ARLZcgP4RYHLFxuFcq5Y7f3 Mepsvd02w5NiDUao0drtfb1W6mQ30hMslSHr4HEHLFxuDcq5Y7ePMEpuvd22wbtiHUbU0drtI72e 7GQ30hMslSG3wCoHLFxuHcq5Y7cG2HMK7PYZHBZ1sDNquzXo1Xcnu5GeYKkM+QkcdMDC5epQzh27 7cBZSOvtths6YPsnymjttkPvSzjZjfQES2XIXTRvC8PC5bbgmTt224mzptbbbS8Ml/U4w4rWbjv1 3o2T3UhPsFSG3ANDHbBwuXqUc8dun+Isr/V22w/TZSPOCKO126d6f8vJbqQnWCpD7oWpDli4XCPK uWO3B2z7cuaLnspmdhv4bTZIDbGm+RaK3Zr0pb9cjxd1340zxlk4k5zF+XjqlGiVGyiv+TotdFhB NYzmw0s4F1uKc7SlnHeH0esOa6mG0SZ4EWc5S3D2s4Tz7jBa5bCqahidgGU4f1iL84q1nHeH0WqH 9VXDKE+sxMh8PUbs6znvDqP3HVZaDaPRGD/egj69BBPl3WG0w2HN1TCaKbZgNLkLo8xdnHeHUb3D 6qthtExsxDhtJ8ZvOznvDqM9Dvt8htEeZHJQHMTI6CDn3WH0mcOKrGGULrfzmn4iJsq7w2ifw9qs YTQY+Q6VX6E3/4rz7jDa6bBKaxiVYy+biu06HhPl3WE0yf6NFfqBfbbxrUHRgT/gGdO0ZzRl0DWn OCPLW4le8dY4dxSTrdICpTRfk3+PsKOY5X0SfeGDce4oxs6jJsKOYpa3Fj3gvDh3FGPnMT/CjmKW 9xX0e8/GuaMYO4+XIuwoZnkXord7Ic4dxdh5LI2wo5jlfRt93MI4dxRj57E4wo5ilncFerZX4txR jMcezjuKZI9VaI/4dhRj5/FuhG+sZHn/gl5sRZzfWImdx0cRdhSzvDQvXhfnjmLsPFZH2FHM8q5H j7Uyzh3F2HmsjbCjmOX9EP3Uqjh3FGPnscg+d+PJm/FxQXM3m4dK1x7KlOF38FD0s61cTwLq/gN6 KSpjOXqqRXweT71SrbIDZTZfrwYHf2VYzYc69Fkk8Qn6rQY+d4fVDgfvZVhtgi3owUhiF3qxHXzu DquNDr7MsDoBf0V/RhL16NM28rk7rD508GyGVR7OLPsLktiMHu5DPneH1SYHP2dYjRYfoK8jiUb0 d5v43B1Wnzl4PcNqptiOno8k9qH3+4zP3WH1uYMPNKyWiY/RD5LEl+gLP+dzd1gddvCIhtUesRe9 Ikk0oWc8zOfusNrr4B8Nq3T5qZY4jH5yL5+7w+qYg7c0rAbLI+gxSeJv6DWP8bk7rH508J2GVbk8 iv6TJECM58+jp53V6dLfmt+tRKPf/FLLHf0ipnJEDOXky4Ee+tWrwf22levgfsK/gYWBKV+LQo5r 8vk1GoTcLwby72/y+w3gNwAlazxN9Nf4QMaN/Atg8IIgvI+FD9L4qal1YA3e72jd8F+nxlKuJ4Zy e8tnxI9iuAi1rI/rL+XVgn6or37DSi9rolewpOLV080r2B7hv7aNpVxvDOX+q7gIaO021B6BXwfP 9Mz06F8H+0J/HZyXr0pI0/abihroNYZD7iqbXjqpLPv66WUTyqvKp1QGMWsSaae9XsH2lBG/2WRW rNJjYiJDmKQ1w+RW0cvzBDwW04woHv3Ku9TCPCu3wMrV6NJTIn4vK3heZP9dvbGi069GFsj5ujyn J5fUT4R+Ikv3j9fgVUnj69ryyrLsAfQWslR+IVqylovtaW6slBJFf2hNK8Siv+V+ptpkvdVO6612 Wn+a2umvWMJfYmqnjfZ2Ghhop/R/unY6YLXTAaudDoS1U7ieeNrpCLwod2N5kdo+nFtNxL333Tbe NXpP/RuodcDC5XZrOWU30zPSuWd8iz2DEHplbQb3itRT0idO1xM0Fv3RtWWmTBbGZsligZUzfSLy 9waC2y/o3SUOfcLs/dRIKWqlD8v0CcpHM4ozuK3ailclvYrNvE24Lb8BM9Uaza1pt8TT3G6x6I+2 3fpY7dbHarc+Vru1vKsV3m6R97cKsM16iOieuWdzaw3C1iIZfs2zflFoa0dX6IrqqW6lWPRH20ol ViuVWK1UYrVS5JXdZkZXM2u8NfIqbCnSPxrLpc+rohph53Kb3YhtRuPU/iLuVJ41mJlDqh5zrWvH /w9xZnBEnRJUDxPRm7cp2d+55KTRLtv8m5f8QbzPHP9ox/8CoXMqcQAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAOgEAeJztfQtgFcXV/8wm5EngEh4JIBghEkghKg8fWFGwiiAPAbVSAYmBGJ4JSXgoCESD EcVHtaUCLYpU/duHBUEpFp8Fxc/4QOUtSrFYqiiK4FvynZnZPbt3Z+bu3vWy1P/Xi+Nufvfszm/O np2zc3bm3Ddeb7Z3xeo2/yCuTx+SRI41pJMUB2aYhX8ihCyFDYVyrKGhgUFJUBpBafjv50fz+R7K sRNN4r+fE/YZTsrhXzXJIxeRqbCtJNe7u4KYn1ZwxzvP5+eYYz7l/H7irT/Rnx9z/Ym8/sw3JKUJ D/Gc+Ppip+wF5xd+kZSxkS6zvwf/MZRMJuPjpY2fDGLQeNvPGLbA+i+E9k8hFcDjWjIx7vqzoX7m A5nvi0f/Vot/DrVXkklQN7sOkwLVz+pNjqP+m6AcKhL7lt7Y8ZYvYNtU+DsNSjphOiYkE0pjKFlQ mkBpSvgjAGnGORDSnAidtiTMJgjJgZILpTWUNlDaQjkJSjso7aGcDCUPyilQOkDpCCUfyqlQOkEp gNIZShcohVB+AqUrlG5QGPXToJwO5Qwo3aH0gNITSi8oZ0I5C8rZUM6B0hvKuVB+CuU8wp5tCDkf ygVQ+kLpB+VCKD+DchERRtsfyiVQBkAZCOVSKIOgDIYyBMpQKJdBGUbYPUTICCiXQ7kCypWEXVdC roIyEsovoFwNZRSU0VDGQLkGylgoxVCuhVICZRwRdlEK5TooZVAmQGFWySxjMpQpUKZCKYdSAWUa lEooVVCqoUyHMgPKTCizoLC7+QYos6HMgXIjlLlQ5kGZT9i9IO6/y+As4+Esp/N//j+5cIZ47z/2 TPmrL+KoxOPzY+5/T3T9NUT445thWwtlAZRboNRBuRXKQii3QbkdyiIod0C5E8pdUO6G8kso90C5 F8qvoPwaymIov4FyH5Ql5vmt8t/Pf96H+S7W/1PTlqwxXjF0eM9Ahzr8C/YdeIKkLrOZNziJf8uO SKJpfMSXyQ9he42NdOOfBttLR4wacFIun0yz+NagBveY7flfBVRwcP9lH2ufj9X9rXHAtPO7qUm1 34XlUyaU5I0onlqVN3iEws7ZmbtR6/gISeXoBn5OahgdRlxfVT1+ipBlJ737s2y+PbuyheN4iueJ 929R70cBeRuu8xmBecT6O/o6sG9VV4BprlVymvE+/4s9I3xjCJ3ZfJO41HcGtydEkyUbYFJtk5ON d8FiGuG5otveSHmuFA/mzhoZH++WMLyFUQDeMpol5d80N2rpDah9IVtLqxzfCawYsWLE+iDWB7G2 iLVF7CtiYV8RC9uG2DbE1iC2BrG7EbsbsSmITUFsIGIDEStArAAxq0Wsbc8bArvdgVlyt9O1iK1F 7BBihxDrQi1M7DGsBLESxJYjthyxHYjtQCzbsLBs5DcIsUGI1SFWh9jzht02y8r82JURh10lG+8Z TO54nf8uWm/kwZU7XudfRF/m5xd3X/T9ncq3n8J5nPe/+07/1Dx/rLuqgKzFPctqziaWrfQnloUM IZZdjCWWNUwllg2sIdaV7+K43s8bUb1Tg907WextdtZ9YrFZhmzWI5styGY3sjmKbJLRIluhHRZE sXHXthlr24y1bcbaNmNt72NtpY47Idtl67aFq9reoLkyU5DNy8hmD7LZj2y+RzZ9HXdoQDakwfNK FCObUmTzFbIpxJ5jJLKpQjYz42LTQHS6GY793Vjs5cZi3zYee7TxyKYU2ZQjm0pkMztBuilF3dyL utmNuvkcr9QRtJvcgFeqfolON8uQzcPIZiOyaUA2J6NueqBu+iKbAchmILIZgmyudOumXqebKrxS VXilqvBKVeGVmo5spiOb2chmdny60d5T9pVaiLp5FnXzLurmO7xSJyGbjsimENkM9sWm3tNu7L52 LrKZi2xeQDYvoN1sw95tG/a185HNfGQz331PNSzx1I3d125T3OHD8UqVoW4mo26mom5m+dDNEq3d 5KHd5KHd5KHdlKPdVCGbKmRzPbK5XnGHz9b3N0vqPXVTi7qpRd3Uom524ZXaj1dqP16pw3ilvkGv mIVsRmnvcD92Y/voPsimD7IZiWzGI5tpyKYa2VQTi81q4tJNvbfdrEE2TyGbLQofvQXZbEc225HN PmSzn+iuVI9Sb91ko910RrvpinbTG+1m1A/2mj3qve0mPDZgxIHsJoJsIsgmgmwiyGagwjMMRDbj 3fdUfawnT3HM68jmdWSzFe3mCJHZnIJsOsX3RLHEWzepeKUuUfQ3laibSmRTHfBKNZR668bui29F 3dyqeBI9gPdUd2RzEbKp8sGmtHSJRjcR7IsjqJsxqJspqJtpqJtpqJt5AXWzePFiT908hrpZjbo5 gLqhyKYJsmmCbHKQTRtk00H/7Nej1NNu7kE2DyCbd5DNJ3ilWiGbXsjmOt+64W+ziM5uxiCbvyCb 7cjmc2SThbrJRza9kc0lyGY0spmIbGZHjZcwAsS0hDpSjz3TonQHY1vzGxZvYm+u8pMawRnzyY2E nbmQzOTb/EDj6CSs066L7anG0VZr1kpRMIvVWmCxjjCJQrKab8NjdUjL6hCwOEyYRCE5yLdhsWJx AB2rLrQX6UqZxLmkE9/2CokVi0noWJXQn5FSyiQGkrF8+7OQWLH4iI7VcnopWUGZxDCyjG8vDYkV i9XoWO2go8luyiRKyFa+HR0SKxY30rHKNiaRllxiGmnKt5NCYsViWDpWg4xVZCiXeJIM4NtVIbFi 8TQdqzp4LrqNS3SltXzbiYbDyorbqlg9b9TQjVyijj7DtzUhsXJ6KuGq3P4zdjzSqsn6Rn5TUghe Kx88VpD2uGO+rJbY7Zmi8FWCRwX4qYngo8LhsUzhnQSP5eCZ7gOvFA6P9Qp/JHhsAF/0JAlm/fHz 2KLwQILH2+B9XgPPEw6P3QqfI3i8C/5mB/iacHgcVXgZweMr8DCHwbuEw4O9AVDzSKUtYaTQNCHv mrx5sPcPah6t6VCjOR0QEo8Che8w+zHwG/ngM8LhofIWgkcdeIoa8BIh6UN6C2bwOXX5ScnmiISN RgoDj0biZ7RZ0cNbjNaSTdDLvwK9/Ct8PyxGcl9vMToELA4Dm4NQDoXISO71LUZd6Cbo+V+Bnv8V vh8WI7n/txiVAItSYDMWSklojN5XeAKL0XK6F7zBB+ANPuD74TBib0p1jGDEQXfTCXQrFLYfVi8k eweLUTb0Qi3hebUplOyAz6tBGMl+wmI0CFgMBTYDoAwKkZHsMSxGdcDiNmBTC6UuREay77AYiZEG G2XUBR5lBHkqt+YhuWdhsO/FLCnnuT91nFuehSf8YCWZB8/zM4l6zoBzlog4zpq9wY6xWQmsAvyY jMlyE0EuiMZSFaxia+xl08vFo5HXyHryIvi+eDXCjrFrFVg9+FEZk+VeBLlwNLLH9LLxaGQfOUJ2 ge+NVyPsGLtWge0FPy5jstwukAtHI/tNLx+PRj4kRXQf+P54NcKOsWsV2AF4jpAxWW4fyIWjke9J SdwaMWgZ/QaePeLVCDvGrlVghJYqMFnuG3jeCUcjbOZTvBq5mK6kfeiyuDXCjrFrFdjP6AoFJsv1 AblwNFJrPmXFo5GFdA+tgWeveDXCjrFrFVgdPMfJmCxXA3JhaSTbiF8jOcCwqWbGXiyNNDXsWq3W t1Rgshx73gxLI4MCaGQYMBwQQCMDDLtWq/VDFZgsx553w9JIXQCNLAKGtQE0UmvYtVqtv02ByXLs eTssjTwfQCMv8thN/Bp5xrBrtVq/UYHJcux5PxyNFLie8hWaITrNdIWn+Xz30zzx1kw+PqXb8w0K 8Wneicly+Qq5fMcKA/tYq13HW4PF+qd+reZK4al/jPup34fmxuDTvD1veRw+9TsxWW6MQm4MWas4 dm1ImivVjw60mpsEo4MS9+jAh+ZK8Knfnuc9AUcHTkyWK1HIlZBDimMPhaS5r/SjCK3mvodRxFH3 KMKH5o7i6MCeNfstjiKcmCx3VCF3lHRRHNslpOemQqodbWg1dxqMNgro2Lg1V4CjCHsdQTccbTgx Wa5AIVeAq5ecxwaLK8avuZH6UYlWc2NgVHKle1TiQ3NX4mjDXncxCkclTkyWu1IhdyWu8XIeuzwk zVXpRy9azc2C0UuFe/TiQ3MVOCqx16nMwNGLE5PlKhRyFbgSznnsjpA0N1M/ytFqbg6Mcqrdoxwf mqvG0Yu9rucGHOU4MVmuWiFXjesFncdmn/jRkFZzytGQD8390NGQjA1SHDvoxI+aYmhOMWrypbkf NmqSsTrFsXUnfnQVQ3OK0ZUvzf2w0ZWMPa84Ntiq3fg1x1YA2nOPnXOM1SsI0136bdDoNzf5Cnoj GUqDzeRKw9rsWmK3g61fVPMooevIaBpsJlcQHuqZXIzHYeARbCZX/DzY2k01jzLalV5Lg83kCsJD PZOL8SgFHsFmcsXPo5SqZ3LlJk+Ap7YSGmwmV/w8yhVv7QWPSngGmkyDzeSKn0elZiZXbvJ0eKIo DziTK34eszUzuXKT54J/nhVwJlf8PFTv5QUP5hVrAs7kCsJDPZMr9wfN5Iqfhzs69ymew/KweC5t /LKI1JAOZLo2YhLtVzsoYmldFVgBnFHG5gXqV4NEjuSYm7r1U8jfSDH5i8/WF2M8zF77PkmBlcIZ ZWx9SK2/VxE3U7d+KfmC3Ek+9Nn6OzGmZa/3v0+B3QtnlLEjIbV+tyL2pW79PnI63UbytWPo6NZv w7iUneNgrwLbDWeUsaKQRsSfK96Wq1v/DZlIPyFjfLbeWtHXwpHX4SsF9jmcUcbKQmr9ESLHoNSt /5Y8BM+AS3y2/hCx4kN2LouvFdgROKOMrQyp9bmKOJK69SfT92hz+pbP1jfHGI+dv6OdAsuFM8rY nhP4xlvd+ttpa2MezYqZ78Ru/TyM09hvrRcqsFo4o4zlnMB4jq71I6BN/X23Xo61LFRgtXBGGRt2 AmMyutbfCW26yXfr5XjJQgVWC2eUsUUnMK6ia/1maNMG362XYx4LFVgtnFHGXgyp9cscq91YFhF1 bMTOL+KOjVjfyNr6LZlPlgZ8T+x+lme1xG7Hw9pVbo+Qp8hDAd+6xs9jo3aV2yZylPw94DvM+Hk0 aFe5EXoaPRbwjWD8PE7WxEbaJufRCbR9wPdr8fPooYmNtE3uSX9Puwd8WxU/j76a2Ejb5H70XXpB wHc/8fMYoF3lNpDm8qwO4fAYqF3ldikdDiyDvZeIn8cQ7Sq3ofQOY3DAKH/8PK7UrnL7OX3JuCJg zDx+HlWOmDnL2CavclbndLPydlg1Wd/I7ammc0llwNi5e1U3q8WrPTr/UE3/CjyCxc6D8ND5h2r6 OfAIFjsPwkPnH6ppN1oZMHYeP4/pWv8wg15HqwPGzoPw0PmHGfRB4BEsdh4/j9la/zCHvkNvCBg7 D8JD5x/m0Fb8LX04PFSr2wSPBfQy4+aAsfMgPHT+YQG9HXgEi50H4aHzDwvoJuARLHYePw9nlox6 R0Zve3ygzrLpzpJRr4isJzq/UzrWbdcZu3ULY+Z3uoWsI0xiEVnNt7eExOrZmPmdNpDDhEm8QA7y 7YaQWL0bM7/TbtKVMol/kE58uzskVt/FzO/0NSmlTKKBjOXbr0NidZLCy9j5nVrTFZRJnAzehm1b B+rr42fVUeFz7PxOeXQ3ZRKdwPewbV5IrAoVHsjO71RAW3KJbuCJ2LYgJFaDFf7Izu80kA7lEpeB X2LbgSGxUnknO78Tm8vEJNg8p9rAq66DsDr++Z3iZxXtueqJO+Ngustz1UfV5Ih8md8kNr+TNFKD WrzaoxvZFIKfyg+Y3yl+HnO1ka8a8EyzA+Z3CsJDN7KpAV80O2B+p/h5vKDN78RyezwbML9TEB66 kc0msgJ4JGZWkDePbdr8TjvJbvpWwPxOQXjoRjY7SUvjLZKYWUHePOZrRzY3gxe5MUGzgvzw0I1s bga/cWOCZgX54aEb2dwMnuLGBM0K8tOfOmaLsiTQ6GFE/++aNYo58t2RL+ub45UnSspsCPXFbpkq E6CdJ2oieIsK8BYVfD8cRtti5ol6C/zGTvAbO/l+OIy+ipkniq24YiuxvuX74TAaroiQ2XmihtJS egUdC4Xth8OoTDGKsfNEjYdRzCQYwUyibD8cRpNj5omaACOYchi9sHmpE0JiNDVmnqhJMHqZBiOX aZTth8NoVsw8UdPB58wGn8Pmqk4PidHxzhMVhNHxzRMVP6M86p6jap3Dmq1gnWuJ9k3LqXQeaUej V5I7f03F4uJeBcKOsVkIrCO9UYHJcu1oWHmh8qhuhXgsjawHjawOoJHVjlqt1q9TYLJcOxpWXqg8 qlv5HUsjR0AjBwNo5KCjVqv1hxWYLNeOhpUXqpzqVnTrNVJNi+hkGr2i249G2DF2rQKrpF0VmCw3 mYaVF6pKu1Jbr5FZtIxWuFZq+9FIBa7Atn+BaQauwHZislwFDSsvVJV2BXYsjawEjSwLoJFl1K7V av0KBSbLVYSWF+p67cpqvUbm0j10hmtltR+N2Cum7V/kmoMrpp2YLDcjtLxQ12tXTMfSSA4wbKr9 LTO9RqyV0PYvk83BldBOTJabEVpeqNnaldB6jcynw/iqp3g1MgtXONu/0DYXVzg7MVluVmh5oWZr VzjH0sgiYFgbQCO1hl2r1frbFJgsN+s/IC+UXiOqlct+NPL/S14o6/cF/eWFsn+N8P9KXqhabV4o veYWkvWkxpUXyo/majDfk/2LjnWY78mJyXI1CrkaXPPmPDasvFC12rxQsTR3BDR3MIDmDjpqtVp6 WIHJcjUKuRpcL+c8Nqy8ULXavFCxNFdEa1x5ofxpzhod2L8YWof5npyYLFejkKvBtXbOY8PKC7VL m4VWr7n3SBnd7spC60dz2zELrf0Lq3tIqQKT5bYr5LbjOj3nsWHlhdqvWJPnpbkPyUq6jyyLW3Ps GLtWgR0gKxSYLLdPIbcP1/g5jw0rL9R+ohu9xNLcHtDc1gCa20rtWq2W7lZgstw+hdw+skNxbFh5 oQ4T3ShHr7kvSY5xiDTV/EayXnPsGLtWgR0lLRWYLHdIIXeIZCuODSsv1DdENxrSa66BDDO+JAPi 1hw7xq5VYN+ToQpMlvtSIfclGaQ4Nqy8UFnaUZNec9kwaspwjZr8aC4DR0P2L2pHcNTkxGS5DIVc Bq5pdB4bVl6oUdrRlV5zxTC6GukaXfnR3EgcNY3CUdM1OLpyYrLcSIXcSFwP6Tw2rLxQBcdp7WNu YmeAea7V0c0Ay03sDDAfPHR5oQrhWT4/UTPAPHn00cwAy03uC0/G5yZqBpgPHrq8UH3hOfPcRM0A 8+QxUjMDLDd5FDy1XZmoGWCePMZrZoDlJpfBM9C1iZoB5sljmmYGWG5yNf/V2ATNAPPkUa34rVjB Yyb452kkQTPAfPDQ5YWaSW4DHgmaAebJYzXR5YVaSzYaj5EEzQDz0Y/5zgtVL8/xihGlq7fmisWK 0qmjam6sQBGlKwjtt5jW6KNvWo38lawnq9zRNx8aWYXRsjUYLXtSga3B6JsTC+ud+1P6qJpWI8+S I8DvYNwaWYdRsKcwCva0AnsKo2pOLKx37lv00TKtRraRIvqaO1rmQyOvYXRrC0a33lZgWzBa5sTC eue+RR8Fi6GRMv5bwPFrpITatVoakbEtGAVzYmG9c9+ij27F0MhK0MiyABpZTu1aLY3I2BaMbjmx sN65b9dHrbQaeYfsoW+7o1Y+NPI2Rpm2Y5RplwLbjlErJxbWO/ft+mhUDI3kQOtc0ShfGrGiR9sx erRLgW3HaJQTC+ud+z59lEmrkX+RYcZ77iiTD428h1GhfRgV2q/A9mGUyYmF9c59P9FGj7Qa+ZAs Aoa1cWtkH7GiPfuJFe05oMD2k1oFduLfues1onrn7kcjuuzebqxW8c69NtR37la0p0epLtrDvhG4 O9pjfSPrrTOZSzolKNMVqyV2O7K1mUya07+SZjQxma68eXTWZjLpQj+HehKT6cqbR1dtJpNutBv9 CU1MpitvHr21mUzOpdfRcxKU6cqbxyhtJpPR9EF6dYIyXXnzqNVmMllA36E3JyjTlR8euvV+C2gr 4+YEZbrywyN2JpPEZLrywyN2JpPEZLrywyN2JpPEZLry5hHlF+rt9eDq9X5MwlmTHQuyvtH5h8Rk umK1/DD/kJhMV948vPxDYjJdefPw8g+JyXTlzcPLPyQm05U3Dy//kJhMV948vPxDYjJd+eER2z8k JtOVHx5hZLrywyOMTFd+eISR6cqbh9M/LGHuAT2M6P+TXGumZP8harK+CTPTFavTq3WxMl3lk3WE SRSS1XwbHqtYma7yyWHCJArJQb4Ni1VE4UnsTFdZtCtlEs3Bo7BtVkLy2fhhFSvTVRYtpUyiOfgX tg2PVaxMV1l0BWUSzcHbsG14rGJlusqiuymTaA6+h23DYjUwZqar/rQllxgMnoht+4fGKlamq/50 KJcYDH6JbcNjFSvTVX96G5cYDF6KbcNiNT5mpqtr6UYuUQY+i22vDYlVVCYTh+dSZ7pqqJc9mxUx lD2X8MSJnOfU4Nme17WZrt4EP1WfoHlOfnjoRjZvgmeqT9A8J28eW7WZrnaQrvTNBM1z8uZxRJvp 6ktSSj9L0Dwnbx4qn2ONfFdAb56g37/z5HGKdmSTDx6mfaJ+/86TRyftyKYL+JSOifr9O08e+pEN +x3bmkT9/p0PHrqRTUJ//84HD93IJqG/fxeff2CJrtDDiP7flelqiew/zJqWyP7huGa6WuLVslRF DMzOdJVM15EMuhoK2w+H0SWKaJid6eoiephcSg9CYfvhMCpXjGbsTFcsEwXLUFFJ2X44jCpjZroq h5HMdBjFsIzx5aExipXpqhy8ynTwKix3fFiMqmNmupoG/mUm+JeZlO2Hw0gVP7MzXdWAp6kDT1NH sxOVM8kHo1iZrthvorPfSme/eR4eo5AzXflgFHKmK09G8qxbXaarhlLdeEQ567bU9mvm8QlfGx9E Q/HPYJiin3Wr1UglWU8mumfd+tDIRJxNOwVn01bgWnYnJstNDG3W7a36WbdajdxBjpAF7lm3PjSy AGfT3oqzaW/HNepOTJZbENqs21v1s25jaKSILnDPuvWlEWs27a04m/Z2XHvuxGS5BaHNut2sn3Wr 1cirpIxucs+69aGRTTibdjPOpn0F15Q7MVluU2izbg/oZ91qNfIxWUn3u2fd+tDIfpxNewBn036E a8WdmCy3P7RZt921ma70GjmL7qGnuTJd+dHIaZjBqjtmsOqFma6cmCx3WmiZri7SZrrSa2QgzTH6 uTJd+dFIP8xgdRFmsLoEM105MVmuX2iZrqq0ma70GplFhxkVrkxXfjRSgRmsqjCD1QzMdOXEZLmK 0DJdqX431ksjC+kiHmmJVyM1uBbb/o3YOlyL7cRkuZr/gExXsTSimHXrSyM/hkxXEeqV6aq0VDcf uSWdR7JceWst6ViaycJ8tBHMR9sc89Y6MVkuSyGXRW9QHBtWpquINr9tLM2tB82tDqC51Y5arZau U2CyXJZCLouuVRwbVqarMdo8uHrNldAj5GpXHlw/mrsa89uOwfy2xZgH14nJclcr5K6mhxTHhpXp aoo2X65ec5W0iE505cv1o7mJmAd3CubBrcB8uU5MlpuokJtIuyiODSvT1TRtXl295mbQMjrVlVfX j+amYr7caZgvtxrz6joxWW6qQm4qLVEcG1amq2na/LuxNLcSNLcsgOaWUbtWq6UrFJgsN1UhN5Uu VxwbVqaredrRi15ztTB6meMavfjRnJ1/dx6OSm7C0YsTk+XmKOTm0B2KY8PKdFWrHeXoNbcQRjk1 rlGOH83V4OilFkcvdTjKcWKyXI1CroZmK44NK9NVrXY0FEtzw/jb3vg1N8Cwa7VaOlSByXI1Crka OkhxbFiZrvSjpliak0dN/jT3w0ZNMlanODasTFf60VUszcmjK3+a+2GjKxlTr5EMR3PON/2LFy8m 6rWP7BuBu2eAWd8c30xXrJbY7XhMm+lqNVlH/pigGWDePFZrM12tJYfJYwmaAebN44A209VHpCvd n6AZYN48qGZtS25yMjxnHkvQDDBvHk00M8Byk5vBU1tmgmaA+eGhy3TVDJ6BMhM0A8ybR45mBlhu cht4omiRoBlg3jzaaGaA5Sa3A/+ck6AZYN48OmhmgOUmnwre7uQEzQDz5qGbAZab0Blg3jz8Z7oi PUo1Hlb1zt2S/vFnurpH+85dr5HfkPXkLtc7dz8auQuzWt2D79J/rcDuwXfuTiysd+4PaN+56zXy EDlCfud65+5HI7/DrFYP4Lv0lQrsAXzn7sTCeuf+jvadu14j/yBFdKfrnbsfjezErFbv4Lv09xTY O/jO3YmF9c79E+07d71GPidl9CPXO3c/GvkIs1p9gu/SP1Ngn+A7dycW1jv3Vtroll4jbelKvkIq Xo00x2hUK4xGtVZgrTC65cTCeufeSxu10mukN91Du7uiVn400h2jTL0wynS2ArPfufeKejcfjkau 00aj9BqZTHOMca5olB+NjMPo0XUYPZqowK7DaJQTC+uduz7KpNeIKsrkRyO6qJAbq1VEmWr/A965 x9KIHD3ypxF1tMeN1SqiR7X/Ae/cY2lEjgr508iPIdPVGOe6DiZknsG1ngNxab0fibWe4yoyn4wj 1VDYfpAWSStViNfc4L/E/OXyR8lT5AnyGBS2Hw6j7TF/uXwLOUr2kH9DYfvhMPo85i+Xf0xOo1+T jlDYfjiMsmKu50ilE+DpZjQUth8Oo/yY6zna09/TQnofFLYfDqPeMddz9KTv0gvom1DYfjiMLom5 nqMfzTWG0MZQ2H44jEbHXM/xczrcKKEXQ2H74TCaGHM9xzh6h1FBa6Cw/XAYzY65nmM6fQl819+4 /wr26+7xMDpe57+L1h/X86cZ7/O/fqznTzf+yZ4OGqKfXmyLoCQdtt0zqunV/AngdJLFbaR7xjA6 hLBaTy86gzDpdBMvogNNvDvHLflMxHtE4QeIhfeMwl9EvFcUvhLxM6Pw+YifFYWPRvzsKLw34ueY uGhpDrmGt/QMkp4YrSuevRJ6VRXnt66q+loupdWua7mUPqK8lkvpXuW1XErbUNW1XEovp6pruZTe RVXXcil9maqu5VKaZKiu5VJ6nqG6lkvpLEN1LZfSp41wryWJOq/+b388SBw8vqZ/p8/TmdR9zSNc E6/QOVAXIcPHlxRPntyUa64xHJkaGr9oPYWvn8a0P1lOmkr920mw/dY4AJ1jbVJt0t18WAdK63dh +ZQJJXkjiqdW5Q0eQeSPqDGJtOT6TaWtuc1dVjm+ZELVhPKpBtNwFtcxK1kkK4qzvVIxPM1b47to /oJNWlTtn2LmGHftqlrik1B9hvQdMkDz1X8/x+mTnhYh81MakXbtX019fj4hKXCl+hGDrEruQNhF a598ElzBHEI65Hfo2LVjx9Ov6XLuqM7WH6O6tE8+haSwu8fx/dXDx48bHS3UAcyunS1UdHr0eeBv JlVA0kgHt5TrbKboWaSQdCfkGoYX5lk1m3+O6mxWbAEdunXg315wDRxaRLrAPzjUeVz0Qa4jzidd Se/oygS36Po4NUeV559vn+JM8hPwP3al1vHSwa4jzyBtyAPgpxvmbTDv2Ua0L6kkE0gxmUy8v/17 jG+LSBl1ftuUXg7fTSHj4Uk5jwyB7UzYDiflgBWTqXBEIRxB4AjeP8LtnEUv5N9OICUgOYJLsWMH w36w818Qx/nbkM3a1p1HssnDDXnHck7d2pYQS+MLwMCOMWkoGWj9ZL7T+sdGMsgDhe+1Yy1NcvxF wc7/ZBjkbHIP2Qf/Zx/Wv/E4mfk/+JNwBHbmM8j83/z5/P+E7Tz33HOwmc9+HpD06FFP6usbyOOP Py4w9ikVWAM/v3luc4ejXA62IFPfwEo9fL2E/8Y9+yVG9itVLPc+y1/MclSybF8sowtbR89WB7E5 bHwmV49S0mMJAD3gPyhLeAGsB+PVg4yKNCFJ2Er2GR5Jhj49QnrAw8QiuDwU/nWKGKDTERHWt2eR y/m2LbkikiLaAs8hLJtZG355SPmks4pnJYH3pdGdkIAc4KfnC8iQoSQZYnWSpUvY598m1EiW4oyu uW9Qy0UDXzChVFmKxTnJpZtTz1t2xX4TYg6dDGxs/KSu1aMmlCEfmClDjWUoi/2x7IN2jxy45E0T aiJLNZWhiAw1k6FsGWouQy1kqKUMtZKhHPbHhPJPF7x8+VYTypWlWssQv/63T/7Xt49+9iGHzAsr Ltp6E5IMwBByzktrCAOAi/hhcs9/mBA3gPfPbPPc1XkWxA3gibO+emHcH6wauQEM2fLLUccufMqE uAFc9T/dN64usqS4AfzlV+NvLRn9TxOSDMAQBpCxfWXFeRn/MiHJAEQYxcVeMgCR7o/UJG+664yZ 1rkkAzCEAfTgn/dNiBvAU7tu+378l2+bULYMSQZgCAO499Gbhg343V4T4gbwxpqRR9fv2mZCrWT2 kgEYwgCGTVo687cPWry4AYz/w9jLhxd8YELcAB65/qUuve8RUklOA3jZhCQDSBIG4Lwfk2QDEE+v 5PS/FTTNfOJdE2rkvrRJsgEkCQOYupJuaJT9gQml2bys00sGkCQMYN0W8q6Rvs+EHAZwwIQcPcBe E5IMIEk2gCTZAJKEAez49MjAkbdYNXID2F+8YlvPQ2+YULYMSQaQJBuAGMCQ+3/a9e2lH2wyIW4A s254qOuFJ1m8uAF8+OvHG0/7099MiBvAo78fckHzYuvScgMYfezCbz7+6J8mxA3g21FTNh17/D0O JQtGwqLfMiFuAKX884kJcQMo6zAZeOwzIckAxOs78v0X0/f+ttkeE2pkX8edJsQNYEdN1cW/+uJJ E+IGIG5kixc3gO8e/ezNwdfuMCHJAJKFARx6+e/9/jzhXROSDCDZ2QNYJLgBpP3ppF+MO/cvJiQZ QLIwgAMTf/LFb/Z8bELcAB5etjFvVeVeE+IGkPvrt9PLOrxhQtkyxA3AedcmCwNo8Vj/f9zQwjoX N4DbTi755Bf9HjMhyQCShQHARZx9eNUqE+IGcGpKza8vvP0dE+IGcNbCvmP3v2EphxvA1J7z111w 0y4OmS7aqZxGwgC6jm+976qcj02IG0DWtD/dvrtsrwlJBiDGqwQ6ifv/+OcdJsQrmDj48ztHVL9h QpIBNBIG8NQAdm0tXmk29KYJcQMYUNRwyvdfPGRC3AC6z+x2yslHrBq5AUAf9PD1L1m8uAFsZEYy 7QUT4gZQDRRSrvl/JsQNoGzNh1VPtHzPhCQDaCQbQCNhANkPPf18TqdXTChbhiQDaCQMYA1cxcsm Wc3mBtAPLlmH3Y+aUCvbVq0GcQOozv9Nw91z/2hC3ACWFDKjszTBDYB3vlN3m1Ab+/SCRApxfPaa ELX1ddCEuAH8+RvWd7xrQtwA2p62Jz+lZo8JcQO4pssrkZee2mxC3ABWVZb98uM5z5oQrzP75uf+ Z8VFT5oQNwD2nDD28l0mxA1gVF7fz0rqXzUhyQBShAFwuyRvmZBkACnCADru/nruxA1rTUgygBRh AMsPPfLipWdZDRIGsPNP0PCPTEgygBRhAPe8Mu+SZ2982oSyZUgygBRhAFVMN+dbkGQAKcIA9j7T 5Lc9HnzHhLgBjFh8yp3Tp/3RhLgBbMpjqrbOxQ2gy6i7Xjja+W0T4gZAylk/t4VD5uO386EmVRhA 1fbsw31f/9CEuAGcxzvpXSbEDaBnszN/+vTwJ00o2WlOAuIGwJ8KHn7UlOIG4OzlUgWN/PXf1R3Z /ZYJcQO4ad9L9/1t8WYT4gZQP5o/ipgQN4DeXNNWgxwuYK8JcQPYzZ7I/rnahLgBfNu74rVb31xu QpIBpAoDEE8Klia4AYBVAo33TMgxCrCanS1DkgGkCgPg17/XmybUEi/QGY+YUCtb6jUT4gbAOo6l MxeZkGQAqcIATl7w0bC/tn/VhLgBbFh8d9MbzhQ9U5qgKBz+BybEDYDfL9X/NiHDNrntJhQVQxSQ ZAAi6xsRd/tK80BuAHueqJ3zxppHTShVPpAz453JXzeZUtwAoDe+t27BUhPiBjDylrO3bZryhglJ BpAmDGDGtLZZe7utMiHJANKEAVxy2Xe5Vdt3mVBTW1+WJiQDSJMNIE02gDRhAMxXTb7SahA3AOFF t5hQS/lAbgBrN8945v42L5lSObIUN4Drtv4L/NVbphQ3AH4flz5hQtwAViX9a1HnjwWJdHEO5yAj 3ZxS5egU0oUBpL7Wetiutm+bkGQA6bIBpDvjABYk4gD8ZMvMc0kGIPKbR+kr3SLrlOIGcP+rf3h9 65UbTSluAPyhI7/OhLgBbO956OyL+j9oQtwA7uj8cdYzpy8xIW4Ajz157byd5+00IW4AvD/++oAJ cQMQXdoeE5IMIF02gHTZANKdcQBLSjKAdGEAzk40XTaAdGEA40a/c3HSrLdMqdayFDeAyfyJcgOX MgMpr9azz0ET4gYgxu5vmBA3ANGbbDEhyQAyZAPIkA0gI/q5Q0CSAWQIA+BPZN/+3axRMoAMZyDI giQDyHAOAy0pyQAyhAG8teH9Fu1e3mpCkgFkCAMQQ5E9JiQZQIZsABmyAWTIBpAhG0CGMxBkQZIB ZAgDyNn52pcj3reukGQAGcIAxGBxDZfKdMp8akLUfWCmMxJoQZIBZMoGkCkbQKZsAJmyAWQKAxAj nedMXpIBZMoGkCkbQKZsAJnCAKIhbgAvs572tKfNA7kBnEsH12YNfd+EIvKBkgFkygaQKQzg2shV 56zd/KR5LskAMmUDyJQNIFM2gExnJNCCJAPIFAbw705nwKBi6fk/j1BCR0bSSGVKZUrnji1zzwN9 LiafGHfk3gnq7wMaoRREWEyR28RVEWYH7aDBSU352VmslO21Jj1BL5R/bURsFb04o9BY1O0WykLW D/BBbmsyLpJGxERWSrrzgLXBQ9qpEfsypZPBJAPOY4W+WXR6CGCsliSQozy821j8sB9gw9g5qcEl syJ5sG1CryIjSR7pTEaQElJMquHfeFJJugB2BpenpjzbN6gwcLafZO6nwL5ZPa/jGt46xrIBeeYp WWZyyfRIC2K9P2DB1Tz4Nw72WRsu4hLerTF8tKa7ozWGR2so1mG3xm5OB4/WWM2hXLZD3K1J8tGa Ho7WJHm0RsSnf2hrWNwzSGuSfbSmp6M1yR6tEZFVd2us5nT0bI147cWCUh3hX7ytaeSjNb0crWnk 0RoRE3S1Bi9OvldrzIvDIiz58C/e1qT4aM2ZjtakeLRGRLPcvYDVmlM9ewHxjw2uToV/8bYm1Udr znK0JtWjNSIO80OuDfuWPQznw3eL4mxNmo/WnO1oTZpHa0QEIbo17CWs+BR5tIZJspLCZYvibk26 j9ac42hNukdrxNjXbk08XOCxNtKBsBf9sXzf6Q42GR5sxKgrGJtMX2ycvjjTg4143g/GprEvNk5f 2tiDjXjSDMYmyxcbpy/M8mDTmD/kBmPTxBcbpy9r4sEmiz9fB2PT1Bcbpy9q6sGmCX+0D8Ym4ouN 05dEPNg05aOKYGya+WLj9AXNPNhE+IAmGJtsX2ycfXm2B5tmfCwVjE1zX2ycfXFzDzbZfBgXjE0L H2y6R/XFLTzYNOcjyGBsWvpi4+yLW3qwacEHr8HYtPLFxtkXt/Jg05KPm4OxyfHFxtkX53iwacWH 7MHY5Ppi4+yLcz3Y5PBoQTA2rX2xcfbFrT3Y5PJARTA2bYAN68kb0XIyCXq5YjLLUXMbj5pb84iF aiTP/vI7kk/isnlkrcT9ZxExUSE/wsalp8JToWGISNoHcNrdDTiUI6vhzGNPElyGwrmN6PAa/7CJ fUmOtos68jmaiHOnSOe+OMKiFH0jrM+7xWBaJmQmPFRszog+23WAXw4yx8DFXwqlXSRbqkEccXKk 0IV+er415cza4le0faQ9m17mmpsoPh2hVYJ3KufK6pQFveqczWdc/D5gnU6tfwNDjvuh7bfCn3+G UsNl1VrvA6WbeaZGUVrP4pGyFDoc7qUSPm12MimImK/XpTrPhfI6DKq7wp99QKTGYHX+Qlknq+9q TZ2sb0qnl8Hdy2qdQKqglJOpvGbbGlpEooKTUTpuC5LjRBQoYgdgm/LjrEIMMbFSxPRY2JFJUms1 fliZOfR5Yom0yi5WnlhLOtF5Ytm5j8GpWPnv5//eh8LVT8rgc7wbktLE7fecuJ8uZjfq4AklleVV 5aXVef0riyvK8i4sK66s5nbav9+E0tJe/Ol98Aj+ZRH/suhscuScx6dF3bT6u4YS2T/EzMwR465R ZObwddf8GH4Nw51vT6EZotOMMs+eKf2/QcJ4ewAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAfyCYPSRyFeH3ut1zLpv1TWP+3 YBn9mIM3Hth+M9iWHgN1ne7Xvs4/R+evoPUVeBOv9X1482HsP3D9Yxjf6/DPN+i+7T7D/5/B8qfx hw4W9hwn6ff92md/P35NLFxeWbq+lLvhPr8yu3zVfeq4mVqef24hl3vczCATL5uUkVNXZ1dujDwJ nzx19xv/jke74UFCfUJBcU8cftFYqTsJ/tz/HHaJO7G06RjdsU4c4dsA0v3pvuG+vsz04NOXBoKL S4PdsV4s0xlJf31y/spXo5nSeNe7wkwjmSgHr3WuI7jkSNfmqqFR1uMwBGMA01ofcgPLdHlpgAwH QvpY2qSOT2PRERjEDxbl5aKFakqcgGH4QtSY71vUnnGNmTxxIkQ8AUdhlBkNyovCNSVHoQNW8Smr vvMrek7j1kmcMRZgFufNnVN/u03qCFy1eGqTNYVpb+FsfB3XA+fw6OFx0syPs7g6eJgSHVgCR4d3 bulJz5b+rcN2qePblv3d/7Ruz+Dc++Pq9zZud38HB7rgnr6LXXjG8f1Nbj5fUOTP14xKwp/HftOl W8ZhVxY+afrqb2P/MFfJyFUKfmbb8CS8D3/Cbx1wyAUz4dOXnv2NgidFLdFXsWi+QZ+Uy2U84Hml BNlsBSqVKty9exdu377tVzvna1XDJzadGFWX1UfMU6nqWMHkEpR0mRKWLeFRs3NVyFYqqGNuHUsY c4jPlXxb2RxkSyhk8Q9jyUTUstqvLFxSe82ayq+lDpMqBpatIIuTxg9wDWPh57CycYfystIrmixM mWMMLijatVoxs1cxe9Y49LmT84sxaAWa8hrg9NJld3E+P7/ojmb8BKc2IZtxcK+zuevFsH5z3JeY +AJJbCrtJ8kJpWeNFJlu8ySFrPI1kgTLliwmgMqTFLKKXyNJsBzJijGWmycpZN0KJMGKSVacsTJ5 kphfZ0kSrLhk8TcQ43mSWNuPkiRYeySrjrHO50kKWWvLJAlWnWQlGGsmTxKr45dIEqyEZNUz1nKe JFbHL5IkWPWSlWSsYp4kVsc5kgQrKVkpxqIOkOJ+pUkSrJRkNTDWap4k1l6nSBKsBslqZKw7eZKY XxmSBKtRsvYyVjlPEvPrJEmCtVeymhjrXp4kwWqSrCbJUoy1lieJjRMXSRIsJVn7GGs9T1LIWv06 SYK1T7KaGQs8klgdz5EkWM2StZ+hlEcSu49DJAnWfslqCQVwPZIY6yZJgtUiWa2MlfFIEmNOq2S1 StYBxhr3SGLt9QJJgnVAstoY67xHEmONkyRYbZLVzlgzHkmMtUCSYLVL1iOMteyRxNpriiTBekSy Ohir6JHE/HqVJMHqkKyDjHXLI0mMOQcl66BkdTLWqkcSY10kSbA6JauLse54JInxq0uyuiSrm7HK HkmM1UmSYHVLVg9j3fNIEvNQj2T1SJbLWGseSYz1BEmC5UpWL2OteySFrPE5kgSrV7LSjAUFksS8 nZastGT1MZQqkMRYF0gSrD7J6mcst0ASa68sSYLVL1mHGCtTIIm11wWSBOuQZB1mrPECSaK9DkvW Yck6wljnCyQxv66SJFhHJGuAsWYKJLH5cYYkwRqQrEHGWi6QxPzKkSRYg5I1xFjFAkmM9RpJgjUk WUcZ61aBJFbHl0gSrKOSNcxYqwWSxJw2LFnDknWMse4USGLriTdIEqxjkjXCWOUCSax/TZAkWCOS 9Shj3SuQxOr4NEmC9ahkZRhrrUBSyHLnSBKsjGSNMtZ6gSQxp41K1qhkjTEWvE0S61/TJAnWWJT1 isIt7KsqAR85HzkDfa3tz+AOILX/K7G/tv4woX8AxlWwhVl6g+3pRaWRXXpN6I8vFg4X/tljuFi1 TLKtwnXr97/5gd383fcsvWNfxW1iF7pwRSUg+CV5zOzXbbOjr1Ph/qAeJiCJnGDnr7fa51DTVhzV YK7HqNK67Euaafm/RjcqvZ6PW33mXc08LJpUi1L1uW35LaPPHTrfg+faWECcNnXR9nTKBqZ8Wq1N ObN5tr1PNvqk1w4N1mlYgsvol/69K298c/EGZ5iH9g4e+rc59EO3WtBG2CW3bLWUyVmvWiB4nQMm rwtXInW0PqOO1n3U0dm2jtlIHZ0d6ui/+YjW0Xdb203vUEdeyTR+roianMZep/e1/UpbOqRwBWL7 7foXxP6hGv6G9iGSXeX78qJqib6ToaDfQDmsJXxr/Ub9T7Djgn3W1OSk0vuwTxD+MR4fxw3xjVSU 9nfduhi/jQ/ELzG9SzULC34JV98beqE1R7n4/3osQbfS60fH2gKAS5kJHNa1r3XGP21HZtR2etTQ FuW3Dj3WTjb99klAr2mP2vFDe8Lbf7YOIIUt8To25HGUvmUIW7f/OYxtxE9F2r9R6V1T0prCseUM nMK+PYWtswwL2OePqOCFU61t/bb2Yzz9OR7n69G2rW2/tqVtbfenZDtZY/sx/G63vgzX0KaH38EI p5+0WfPrvQv+83fTvLfWynXjV9h7WhTfJ0fvT1vw3hTSKniLZOHE8dnlLFOu3Tx9YRn93yEH9HNt 3og6pnwQwfbft/izmG6vpMTuhv9a+BdCgg8HAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAAAHic7ZwLbBTHGce/3XuaGHwQF1KgcCZOIDyu fhFMXrI5Q2LE07xUhTac786x8dlnzsdLUVSSKu+gQqjSKCFKoyQtatOIAH1EsvJoaSs1rkIkiGiF VIOsqGqo1ARSmkjY/X87s3dz6zs4H06clP1Ov53Hzmvnm5mdmd29Y++N73vx9cmnySJ3kIMGBovI rfhpEkN8RLp0DwwODpreg7Z8reQiKJY6ZFyws849wAuKwBhwjRJmHOwlognQeDABXAtKwTfARDAJ XAe+CSaDKWAq+BaYJtPywywDM8D1oBzcAG6U52fBvAnMBnPAXDAPBOR5W65cmiiOX5L8tJg6YSZo p3UouKRMJFeqz/N44C7SDf+3xeklatg6529+/p/pb2mO9HmMHyspRtFh5anKGNI19XryjVcqzUpa SyFqLrgM45A/j4FOEmNfPnE4rNF5iK8/iPrvoC7UQzNtHnb+Ewq4fi6vmdOA1Jvdn65O0cRtvGDR 0HIcY0Tbt/Z9Hv+Xt4UT8e54S9K/IZ6I+Bvi4a0d0c6kcU9Zvob94GV0BrYHzPOBWjq/8NCWKymZ LfnIBNzJx0CLd8M0GwLuw3UfY1Tg+7GbVmB8SmCECmGMFI3FSR13FTlrSavT4K4lniXchfEzRBFq w13kXtxNKonnDxq5y7W6G6mYgkv9tHKpg1aDOtI3ccy6rDGriGcbOjnKNSOyhpItmu0OLp2aSsAi t1F93SeDL8Lk+1ED0mtBiltRXr6vrYI9Ae41jl3UCr8luCa+21lltdOY+czg65a9g5x+YaZDSIFt NaZILml/APwZNMDjHTAX06j9YDoSfBaUeUV4Nw2dWfEMbCzx3SQ9szLT98jsxpGYafHMimdTPDPi 2dB8cCtYBBaDJrAONKLQa8BG0AKeBz8DJ0EfOAPOgjKodA5oB1vBAXAI9IA/glLU9zSwHmwCXWAH eBa8DE6Av4Nz4CIoQ7nngCBYDtYYdTpVwWlxXyksAaMdmLlxDmK1UuTUdC8N1o3dpVE7Ssc8M/V9 nBFuFjbLaY9b9ylK7mIt1Ymb9Z0T9/A4qbsdLqdLdzgfsQyZL0hzLRpxB5pfN5rYCpjbYTYZt/cQ mhtUhXR0crk0XfO4dZepWZ+S1C4+rMEkrAPTgbjR5apvNHK/xu3UWXLmXo8G3ia7aXAJx3GUeHSH g+NY+4zZoMXko43CKOkao5Rc9uWwcy9w0hbvoxjFjyHHViPKa7+vbjkI2K5n3Dk0EtMgh08b4mv6 vK6esmWY8or7bc8ROoImkqgY+dRZl69iKjnB4j8eg0rMmB53Gi0jgON6Y9GQwFAaNVp7PmFsscUW W2yxxRZbbPlKiNh1jGIBkMRKOS6XHPnLREzueXHBq1peMWcLY+77mqZ6boMxSYxg1R5HGbYay6ds K/NcMhkTV3U/K584vNKeNkPYXVjqcK4dxi7BTmpE7i2pHY8klkZxY+mWS2aRrvEOAK/l8s1/Oh98 Zv7WKx9eeWoLuP6ZSv5nX3mHvoNVMqwT3hJe4ozcfRhHzZubN5/bcG7D0HSKnBONetx7u2ag7I1k lcHBksvaTfmucRwj2wqbqj2XWaqkcIt2eZP3XZZovHBP+5ehOX8O86fSXaj5oS4WVf+Qq+R8TN5x m4JaPI80StClWNPFDvFUzSpjLPlZ5XLlK5Z7An/TM9PLla41vhnPavL5adrQdKzuD3PsO3Nc3uua K83L6d2anrU8puS6zkKF0ytW8n9Wtqe+HxSt+/a2NzVrezuqiyej1nKNrqyaVVlxk2fVrGocm+at SkTDnvptUb9haYqGQ7GYP5T0B+Zn+CBOBcKvjSdDMX9TNOZpCnW2++Mt/srupOH2NK5YPb+iyjTi 7QtCO+QxlEwurA0lI+EM32RnfEFye40nw1PGtsbgsNEdXZVpS3NzZ6VHCWdErDSCd6S8o56OSPfC 2mRECWiJUuVRQmcLJVK0pmtk3xkNJ58Kt6J6PGb+ilc6cGbNBOOJBfXViUSLEgKXFW7uqJrvuUQC lUMuJiqLJRNeHk3UNyc7I6lEItFuGcIornGQSan29LXK0Ep0M8tUvXOIbk9XWyJcWx+qMusl3L2z e0EI1WCGN5KuVlMakrFaE2Y0M561elP5DfGLpM+1NXcglZBHSddS7CwnMvXGBU0HSjXRIbWQuuB0 4CyVJtpuWi+pkqaii2KlnKryTb+0srPlaq2Y1AVUJRKRrAkvSrTHdnJLa4tvD4W3trYPrRwltNSH eUVmnSu5ecaOHe0BzZbhCWYbxeBasNIpHn2sBxtAlB+DgC3gPrBLPuV6GDwCfgj2gOfAfvAS+CU4 BA7Lp2HvghM8owFeTJRLgA9MBgGwFqwDW8D3wX7wPHgfnASnwRmOg9nQZDAF3A02ggfBY+A5+aSt D5wGN2EyPhtUgTbQCeKgC/wWvAHc/GQNrAArwSr5dO7Cpxc+utBPp473njp+6vjR/lPHCbae/t6e Xurv6e3p7yFJb7+04He059TxfmH9Va6KLg4u1dNPMEsWzdbUR5pwuyxup8XtsbgdqrtYfcBKE4zU /XTXbC3l54BfifRPeQZZ/26lDUwFAXAbWKK0he/J9tCutAduC5+rl5jh+DTnmUIcj/Yrjocol6OQ pKU4dJpYrnUQHyeVa/rTMXLUaN4PjpCXHw76xx68tm7yMf+mmf+et6uGI3g1PQPTj5dho+1X9IHP ePam/pwaP1PH1bHOpa2ELLrNp78/fYk+r/b3AaXPc38vl32e+/oO2d/Nfm72b7NPZ+u/3D8H8pcs OrZFFV3T5jyQRbeqXlmnPeAPcjzP3Y12n811JsPxeM4zV9B3R1YKHglMu2maGzKj6Zd1JEj1/2vU e/QpcAaczdJ/fZY+XANucYm3XZ4qVZbSu9WaHFlHRtP5AjMV+k/X0jBaAou1JbBYtTQaftlago/1 16jMwzaCey1j9GNgnzI3OwAOgTfkm06XGBP8Wo4zeQ4QhYwWu0uHn2mGY9j9n+XrpPV0//ex/t7N Mt/+FzgH/gsuAifuyUXuzHl4mVu85Za7Ji/kPPN4f64zX6DjcWdeLeP/V/PWkY18rL8acDsIgmWg SVljRUA72AbuV+Zn+5R118gqaTddYfctZLqRMWZcTf2f9fcSOAAOgx7wJ/AeOKmsqT8C51nXwIm5 +FhQ6hFvt35Z3Xd3+Ui2jMtNKq8O/bP+1P2SW0AQLAPrQUiuwcz9k53gQfAE2CvfbM5U0nVfjpK+ wJYh5OrQP+vvFfCasjf2O9ALToA+8E9wDgwo+2bjwSSveKs9XyXVjkbLKGAGKuTq0D/rby6oBreC YJY90RG4pSvyRE7HV0i0gvSv7gOwWHfpRsPv0vr3TqXpB/1B/8G+28sOej0zwPV7fuIqBzccHMH6 tOUrKgOD/Aho6CsJPGr2PfTCJ5+tbPX9Yq+X5sw8/Ff+6iCmiReE+PyjJN5w2QP4ZZL9JD6XOUDi q6ijJN6LOkbiiyde8hXJxPkzg2JNfAE1S745UaOJd7Pq5JsfyzTxNdRamSd/ycTfmUfkR4v9TvEt uRjhu4fYOY/FsVi007884F8fjydao9FuiqTD4Rzb+QusFfFERygWiMSTFL9cXM67ikRcLo/lG8fa ACqqjtN/8uE72TDsyyo+Dmx7UzPsJ39dy2+IOGQ5zI9zrKYttthiiy222GKLLbbYYosttoyU5Fr/ s49+4i8n9gem+Pb9GOv/uZ+91gA/l9VP/r9DsTColcSavYvEHsCPSHwbxnsD/F9xL5P4B5NXSay7 j5BY2/eQWEvzngF/JdFLYi/gOIm0T1Pmmp//V85Yd3f6F8ei4SQsbeHuuf7GznCAqIHUtbV1jb3Z 5zXyJlmGbOY0n/J/h8Xyzw6nyYtZ25aMRVNJ0zNK+n7pebMs7x3SzXbe67hnVWPDPXeua2xIXU09 zBXgPqqlxRQENVRB86mS5tECqsZvEWyV+DVQFWy1OFtp2CoMWwXCL0LIm/ELIvQCuv8S+rbFFlts scUWW2yxxRZbbLHl6pT/ATINLisAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAFQAAHic7VxbbBTXGf5ndtezvmAvDjUJoWZDDBgCq117r1VJ bXwDii8YNzRqG2LspTZZe8FeSKM2UR9CG1FFBTEANwA3AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIAAIBCgAAAA4AAAD/////AAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAVwEAAAYJAAAAAAAAMQA3ADgAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAgH///// //////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABcAAAAgmoAAAAAAAAx ADcAOQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAACAACAA0AAAAPAAAA/////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AHwBAAAHAwAAAAAAADEAOAAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAIAAIB/////xAAAAD/////AAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAiQEAAPcCAAAAAAAAWjV5IIKoTZUmVWUIL5GqQKvmKb04VUPvLZGiPlSt 1CZRKGlh+/1zztjj8a4viw0tnM/6zm3Odc6Z/5z/n1mP/2LppefPrHibHLifXHQtW0xFtjRN0oSP SJfxa9ls1krOKvxf4SpYJueQ6UGY59wAvWAxWAKW2vKUI1whlgAtBSvBO8Bl4EfAKnA5eKcsswL+ 3eBK8KNgNbgK9Mvrq+HfC9aAa8C14DqwVl5XWDx0Uxp/GcxFCw3DH6HHnKJgRlSRZ+KZZ3lQVKyb 6RfE5dYpmTdeeOmDVec11+R1yI9OSlFyXm3aUUK6Zh/PXMstk36IeqiX9hbch3K0zzLQTUL2zaUM 5zUfHuLxN+H+D9EB3Ie9tH/e7VcWMH7ur9XSNTlv6jm7PaGJbbxgaFg5rhKx9p3PPsv/9sG+kfRo el/Gvzs90u9vTvcdGkoOZ8w9pX0XpyHJfBg4HLCuB+L0fuLswevpmcJcUImdvASz+Bn41kLAPtzw T0gF3o+LqAPyaQQSqhcyUiwWNw1tLXZPr+vj1NjwbvZ5+LwvNEOi7kOpQyjH+0sXwiPg5033AA0g rRV1867jxE7NPIFUcftylZLbL/zJHBLoyU4cW1wyfBD8HvhXsBbpHR5x3U25TzZWeY+sjtOXkDjV 8EnmY8SnYaKt4CfB74Nj4EXwd+Bm9KQR3GX2eeUMZIhc2YbSjWIAnfDGlr8p+0RUNjEHYwHdZxvs Ac7RIIbRVnWMn1u9yOVxe3SX+6uOR/iU9HtoEBOXpFHc6g74j8LvNrebXtx2ogjq0cnj0XTNKNI9 hizms1X1ZbPTOBQMYXtKm0ugfq3ZemmRW2fkbb0REz0ol01TK5dxVRi6y8VlXFOLTKgVYjMcpD70 dJfZS+57O8JEqzH2g96nIFXG0eKAWeSNDfd9hSnq8EypUWzLLp82LdWeolAoXii6YJyjc1giTwQX vnZeVK/iaFPpSF+Kg2rKPK4NmysjAPcB8xA7ApGSNFf7XPIoKCgoKCgoKCgo3IYQVsckFK4MNPS0 VPHmjiooU6zMsWbNmnrOTNLuO+HbsNs8lPdTM/w+OmSqq7ksAvmwAoqC3Z41lzKs3VdXibAHqiW3 OmRaJx6jbWh934TFIwNVNG2qyvlQS7rGaifrznNt/y52fFb7zpHPrz/xAsZ/j639v73wI3qQTGtO 5XmRJK5Iq0g57d2/d/97u9/bPb2eYneVeR+Pb9ZM7pxFr85mK2YNW/ic6Z6QsROOcD7fsuozfjwH n60tPwfDtvQzGMWH8MvlaAr1D0vT6hdkfC4+W9xeRqH3ET6FGeCZPqmJt2pOWOMuz3PXZ+vfSVs/ 7fXlqzfX+HL5fP2hHPU444fz9Pu7nAc8J/3Z5n22/ljIN85CcdhxP3RNrKfxh9t+/Rvva5pzvaU0 YW/MN+6bA6Ortj643uj2d40k+4zGw0kR6E729aZS/t6MPxDxd1nR2lAwiMw96Uxvyt+dTI0a3b3D j/hDoxmOGagrhMuBeDwSghtiNxZPJNiNRNgNxeDGQnEjEK2PxQ3ZOPJGY1G44TC7dfW4HktEuFwi hHLRulC9YXURuRN14QiXiYTh1ofr2K0LGoFIPBE1JsfAWePxcJArjtWzm0CxSDRUx5VZQzOzxWJB s2dR1BWpDycMOWI5YJEpUReqMxsJGfZbIK9G4vGgYSxZcrMndL6AlGkB28AdYDv4OPiEtKK/BL4J /hL8ALwMLse+cCcYBWPSwt4JdklL++W/X/7L1L8/3+xR3qIoa9quU+d2F+0EOdYwGavcskFr2l5D WzdoE2kVMm0iYRnPvwYaYDnPLbgWDIOfsK2JXeCD4B4wCT4i37T8x96dy4sXOfoTW2RKo0euN2IB o3HV6FU12hCOtTXa8hpN/1aKXGHNe/EceXEji0+X/+uOrrterKaaT68fC3AZr6ZPoZXGRzErbqXZ /cVOYxZf9JnvO+x/5hg1jM5ljpEqZpt/p2zItw4etcmNJ8Ej4NfA4+Az4HPgt20y5Qx4FnwFfBU8 D74OvmGTN78H/wD+EfwT+I58q/cPmyziw7fOb//4DR+/xQNLwaWeSTm1BlwLrvOIN4LrwQ1g0CbD toBNYDPYAraCbeDWHPLtqol/M65KXCkskGsZLjZ0l2Z+s+J2aZ6SHfOduw/tVU2JPD1mixzNm21h I4sC8WwUIAWssOU7FTL703oj0maUAizpqHQhnscTp23tf93emaOLFznxzUVrdPL+zHslMHLJ5rmq 5ouFfCvBtxDydAaZ8KQtcqNkwtNfus5Gb/lZn3z+fYXuhwVNzMO2yP/wDnEbzf8S59lmilXkWN7I 7QONqICVYD8RMJz6gD3vjUjLtxJcK2nVWMNm/9ilzfeMeY3V4L3HTntqwDVj02pSuOVwLcvHnemL ho2Ul46cevdK54Dv5eNeum/dK7/lr7zYiumT158iYeFmycDvgE6S+DzxRRJfU7LKzu9Fxkl83fgO ia8ruTB/1lUmLaK10nIa1sS7mQZNWH53aOJ3Jj2yzc9q4ncm/dKyzufParI+5xudFuY2WlKp5LC/ PeB/IJ0eGUgmR6l/Mh+ucZh/29KRHhnqTQX60xlKz1aW2w6RKMv9cXzjHA/gRjVw/Q+Nn2XPDG95 /dJF72uaPeyS/bA+hnT6CgoKCgoKCgoKCgoKCgoLhXz6P6fob/3srZOBu33feAb6/8YrP2hGmseZ Jn9PVyY8GiChsx8gYQPgtzT8bSjbBvh/RXyHxP+G4F9Rst7NX3mxbv9DEro02wz408yfkrAF/IpE 3W/TVJ2fv6E09e5hf0sq2ZdBYLBvdKN/23BfgKiZ7Lq1U8fe7/OabZPsQy6/2mf7fydl8p+dVMvB 9AxmUsmJqulZW/1+mRiV/b1fxjnMto49Xdua97R9alvzxGga4XeAX6Q6aqEEtVKIYmCINsEPUxNy bDLjzcixieIURJhDQTMURJ4tyBnFXxPVI/T4DPOtoKCgoKCgoKCgoKCgcHviv01+UEawVTPU4V8D zqtanCd1mDazXC3+teL1UiyhN2S0YY7SWsQGrPNFbLsCWqAec9+8w3i74IILLrjgggsuABAAAHic 7Va/T1NRFP7uva+FFoS2ghDi8MKgA6EBmRxwUGnCAJKCJCYOgCmhhrZAi1JdSCSNo/+BMS4ODuDk 4NC/QBzdVDY3TUhMNLaec+99tXaAV0M0JP2a255z7rnnx33nnNd3+9GPz/YGPqEBV6BQqYYQrJMJ uzQigLR8pVqteuJqC6cKP2kF7DN06Ddo6cp/jquFf4MkcvQpwMUEsvS7gWLjKDgS5xCo9TzPA/lW annZbCfqdRcSL7t2PpeFInrb8WbKDawi1ZTPeoQhRX0+fs/1wPN/jfLPYI3iWMLdpv3HyD/PQM7J r3/WX7a0tPnP0M2nkMeI/vhHv83faYEAAACCAAAAgwAAAIQAAACFAAAAhgAAAIcAAACIAAAAiQAA AIoAAACLAAAAjAAAAI0AAACOAAAAjwAAAJAAAACRAAAA/v////7///+UAAAAlQAAAJcAAAD+//// mAAAAJkAAACaAAAAmwAAAJwAAACdAAAA/v////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// ////////////////////////////APQBAHic7H0JYBzFlXZ1z2g0uke27sMeydiyJEvWaVuyjSTf JpZtwAYTyBphC9vE2GAJB3IhQg5ysWSBDdl4ybFZIITNwuYgCSDshCsJBMIRQgKJMckGEhIMAUKy Ifrfe1XVXW+6ZnRY5vihR6WZfl316qtXVa9edderfuD+/INfuqnsSZFwHCtC4h8jGSJi0FwzQkyI M+DLgfCPkZERoX6fCWHk7eNNc5wgdsNnUMTFcrELvveICxKbQsqjSKR59R2C86qobCX75eUVrMls /f2z92z7gbMVr4clzRHrxE7RP648zSNTuA7m7ap2N5Y02RAKhM5/KZT/bHEO4DhDnDXu/KdArzDl OTbMsu/gcTLkvke8G86xHt49kfwd7HcozrHm/0EI226Uv8+F8Ookt6l/TDK/t8KBMtsNdbFF1eNY 6kTLuVD4Ovc8+L0XwnsgnA8Be/N7IbwPwvshfEBIfX0hfF8E4TXt/x84dBH2fxxT3u7/8ng9+n+6 8Pu/xn2lkHpAt8M0CBmKhnizhJRbDoRcCHmCTACRTxiEmCqkTIuEbF/F8F0CoRRCGYRyCBUQKiFM gzAdQhxCFYRqCDMgHANhJoRZEGogzIZQC6EOQj2EORAaIDRCmAuhCUIzhBYIrRDaILRDmAdhPoQF EDogdEJYCGERhMUCbRshuiB0Q+iBsATCUgjLICwXstGuhLAKwmoIx0F4B4Q1EHohrIWwDsJ6CMcL 7ENCnAhhA4SNEE4SWK9CbIJwCoR3QjgVwmkQ3gXhnyBshnA6hD4lL/PYpuplO3zvgICtElvGTghn Q9gF4RyVbo+KOwDfQ2L8the2Hew72HfDqt6RL7aRqGoDeJ6lvjHY6v9tnf/mPLAvYv9e1nfujl3b 4qv6oVdOU+3hrLPEjmmqnnt3bNmze2D3mYPx5edv6d9JfUd8JHt7Se/3Hfw9dPGB02NL5G9x7/tI zyMPodoq8sDxaKpqp6gnLhGof/8xEsqU7TZx7CgK5htfur1vzyDNSpbsOPPMBaSL6EojXWlcIF7s +J9zhXFs2b1zZ/+WwR27d5HiO3F7f/9gM7XbnX17tjkJ0xo8mppaGvf0D5y3c3CAkhDnFv9ns8iO yd4yTdwFwaVyVIkzI2nUfxzsNZ5Aq51sES679pPDaw+RcO6Gsl9Eo5/M2MU05529tbnlFgcp90G/ U5TW+6CkIMW+vdvuhl72ZJqZCpC3yhQ/pJ6KR7T7fsqhMCEHOOnZuGGdziBdE+4H6UOfdwIioLmc +8h9j+xrLI9d/tmoqJ/z16+jvm1ypE7A6+uVHkA9h/oe9VXWKPWN48dlQo4lLyuEvwnLMQEFvLF3 dc/SE8V2bDvvi2USP6H42r6nQUbYGrA+B87u27kznrq++83rCP7Mhpbx1LfM+eTde949gIwHPMWp C0ApJDko1eCRSv4HP/KFF/66bnvsa58B+dd84zGU/zeF1Mt4fZXKer2i4bxqipJ/lpI3yvkKJfcv qvq4wZB7RhQFmCZunX5f+gGoqAhceBKu3hg+QHEOCRy3zsHfZ50Vf+2OJYShjySzHwq7GHpRhPpK GGTriH3wO1f8Cso9VL4YRms3o5TwTqH/U+n/f1PqW+n/YrjSAJ+ptVfGFgEPBz6b3G6K92n6X03/ c6ln3UxpfkGUZrBf7oHvkQsvc2TdpDk9YLPtgLF755v26mEo5ciFt7ofElL3XgzfH4bwEQgfhfAx 1X4+DuETED4J4VMkKyEuhfDPQvbjz0D4FwiXq3aGdgDORz4L4SoIn4PwbxA+D2EfhH+HcDWEL6j2 +CUIX4bQL96+b/R6HMnajmwdqdvORNJORpt9rfO9B/RFtsCrTpKrxyS9uigl59RXHz+iq6mksTll 2s1HkPb6lFe/6XN2+dVp4QrQ7WBFVB9TPWPOjBlNm2sXnjZbn5xWOy1cBfq/gl0/9YT+re/ikaph DK70IzU2cT5wjrFqYNioToyVwE1FnQ+zT5hfbkZ6XVznrE5Pm60y1oTqhmq62r0ZkjbC5LUWk5rp eKKEFF0wxe3kmUlsPD+CZmTZ1eWzmAcz5WYjU50+kDgh5UF1R+Slkbjwj/1xpDua/uLY6O446eIt SHfo7genp0HdUfxXEum1SehzktDrrHS0/V5EjZ+AZ0oSehpY+jY+Hv6440TJ8kykY9Ow0WOOCNvo jprBBOJLAzcYPxalK4F8cdphocdiQCX65W5YxIZCI/idPxSh7ylDYfqeOpRO3wVDGfRdOBSlb5jA 0HfRUNrII2QfPkX/jxflUDP1kCPMLtzA7GJrNBuCIHMVj63RCnmuFKscfv2poRdfDcqnkxH6ETBJ u9GKdyNqYvIRUSLOxHtrUNrEKQ/Gvv8dRuxmpHwcZwigPuVcCNNv3SjTJ4L+CEzUctFug1R8ZvQp ZTR/3QkDJydcDAKWc58wiRnLGILPAWgSB+Bkw6cd8QdxBs6xDr+TyhM5HMeY2fLmAk7a1DigOMjf rSLrMDbI2wU2rYscmGxG9+NthWi3mPY81i9MZUBSIgqDRfQvUIi/i5XOPkfeRpQT56YW4Njbs3aj muYqaqv6blPf7ep7nvqer74XqO8ONQ1vUt/NeqKup+dQhoHBPTu2DAJh5+7dA/1yrg7/e9asSZd5 N2xoTpdgGgabNW2wxaO1eLRWj9bq0do8GoLesPucHVuy1LUTN5yweumGLHVdnmWqa2vWrTtxeaa6 RCfIcW//nr5t/SDQnvMGd5/dN7hjC4hy40D/noaegYEdA4P9W0dAc0TF/ZnqXm+WvPe5Nkva//8K 3w/B9wvwPdeR943k/DHO5o/Y83AOcDFV6Ifpf6/4cghnrOuhP66BEX8ALP49wL2fnj20iSbRDiEu TiT6Dvg/AGfr6b6qfzhhJ+1xcYd74ohwsQf+PnN3dCt858FcTs7osLOtIa6DxOnID8f4dk1CwrH+ hNUnHWqahAwTDurpIlaDH/z2r9yR9AaDfyEmTntHSGxfGvYojqUAU374l7/nGec6xgh8QoHYbx// vx5fAiXqiK3URrANbHI3qaZ0sEt/O6CiXWgVp8cyxfCMT5fg3KnUOHPAzjfPyunsoYpXc3DGUqnu 0DgxUv6xmJd39r9/3vnU+s+L1hjeGQiLCwHH1pi+1+WIlhi2YZeup8eyKQ0+e4yCbskEPnoyi8jX Aq0N4oUgHmoEvC+LXDDt8bE81UHS0dheAyNdTgxvT2Y4K8R5MBXZKRpED/waFLsh8lQh785l4SOk Xhjzc+GDZJeTc+BzPMANqb4Tgd96eo3ZbqYCI6jl3q8xwcsDePgELcvZqLQmwhuAzw4IgzaIefAZ M0THy9oGcRlIHXM/BiiumBmLA1OZ/AkQ+BdH/CeON0EeByOS07oYWvtB9TQLuJQSBq1iMA/kHZoU 3uUB3itiOE70xNCk2Ar0XlBng9B4NmZybn+E608C02fg2p9gfKukFIkHpohDDo76nKFiOcLXmc+J aTF8JhCyjhMz6AkiIsMcglEwh+mxOltS6zHdGT23KpKB7jNoeGao/mHKvB1MhJtyhXiQyoCrA3o9 RIkyR1ML76ijzMuYzHOoR0ecDdB5zoEWugXaaE0sokaRxDzxSfNjEfkEYTFEuSgEfVl8k+X54oh8 uo/5tSbJU3ffBsDcT9bFedBP+iln18u5HYLUIiFPiwwNDakyFZMW2b9/P50h6yKxjtIVxPRqAX4g j+IYGrL/ijKJZXpX8kQhpFkCWd8ApToTwhPwO91xvZJhh8fr14Vk6fH5+Gg9AHr0qD2gItADbHpT t4FketMMJqquNPm0oRq+hx3ZRs7ptKN6Wsgn/oiqMqG+8L5XhXMC1BCu/dgLNbYLWgo+ezwOam6r 2CbOhrNdZBvGQdttgQ/WaB98X0C16njlwyDcXDqnB2SEoZ/0VdjVz4mgdM3q1DFPHX21RZ065qmr r7aqU8c8DemrberU8U+L5cQVlLjTAwXsJ/Db4FtecmyX+qmfhlRZhFg58vyuP3/ikS5JwST/853h Lzc/dogoEvk/7nima1XTnYqCtDXF7xr86fKbiSLxf3bZc59b9txjioJxDm15rv+ulw8SRZZiwfab T35H5+OKgnFueuGvv328/RmiyLJcs2XGwdrLH1EUjFPy2OcuXfmXX3f1kwY/1s006HoM92cJMTZL yCEs2fB/K/QX/J1PeGMwA/n7V59/sPeM9V2biV5H9Hr6/yGiDHlPPKF9urT2BdqiKw6EbXOPL5G+ GlE6OyxKPGPYt2pw5YaLXJVkjyc69paoGyNKtlCd0ckjmmuhhSy0sIWWZqFFLLR0Cy1qoWVYaJkW WlaA1iTw0ywmeuj1V/x5QuoDn0VuSDKLmsgx3vwn+3gz5x+jNp7YTnIstFwLLc9Ci1lo+RbaFAtt qoVWYKEVWmhFFlqxhVZioZVaaGUWWrmFVmGhVVpo0yy06RZaPIH2KvQx7Cxyfv5BN5O0GJ11y2su nDnetRCdtXXLESEMZ3sr7j634u4nuzC2yzi5ilO0W17TnG6jWVpIxZT/w4QkxNKHVPpYt7zmkiaX 6UMq/cNd8r9MH2bpwyr94S55TaeX12T6p9V4k1iSNOIUUrHTGKc0VpI0xelgl/wvkURY+ggrSYSl j1hLks7SpzNJpjNJpFslGWXpo6xOo156LHuU0t9W8Ncbytf8tEtSUBrPFNy670OffYhKnEHcwopb BkOTwdBkWNFksvSZDE0mQ5NJ6Yfu+tsDm6b/qEtSEM2pH1yy78ov7Cc0WYxbFpNtFpNtlhVNNkuf zeo2m7X3bC89Isk2WslPKXYOcUpTsXMYkhwmlxwrklyWPpfJJZfJJZfS7ynr++61+Xd1SQqiee6k lzu+Mus7hCaPcctj5cpj5crz2ixyyiNO3zz7l98++5c/o9gxxinG6jvGJByzliufziMqfT5Ln8/S 51vTT2Hpp7CSTGHpp1jTT2XppzK5TmVynRpo/VNJGnOnX/zn5gX3U44FjFsBq+UCVssFrC9rXVBI 6dNV+kKWvtArDeZdSOl1TUgKornpejx+QWiKGLciVrYiJpsiq2yKWfpiJttipiOLVfpfEZLiQCsp YZxKWC2XMLmUWJGU0nlUpS9l6UtZ+lJr+jKWvoyVpIzVchml11KUFCzNO2v2nlGz90FKUc64lTO5 lrPeU85GwXLitPXy3nmPbZXasoJxqmD1XcFqqMI6dlRS+gyVvpKVq5KVqzLQXioD7WUa4zaNoZnG pDzNOhJNZ+mns1qazkoz3VpLcZY+zuQaZ60/Tun3kiR/0CUpZl8chv4VB62Uxz5Z4lGxTCyDQWGn e5zoho/83y3WqnAcfduomr6WfqN9VCWCNtMsC63GQpttodVaaHUWWr2FNsdCa7DQGi20uRZak4XW bKG1WGitFlqbhdZuoc2z0DostE4LbaGFtshCW2yhdVlo3SJo/2Kd59GYN0xnDrUrFzR+DZxhm7z/ rIYL/3jxT7vilCxfzMQH/6H9of2lkGpaiYjIqNhY7/leTFz4hQd51PD+sBcVW3GVpRUjklnCtF9n sb46i/XVWYG+OkxxJN+I4pbOuEWNnjcLeqSv0WaJTEOjzQI03BquYbhqmEaqYWNGDbOra5hdPUyx TYQ1DGGNQih1S42HEMtbo+wbjUPKa7YwrdzZTDfNZvKaHdBNwxTHRDOb0PjcokYpZzM0sxUarbcl mlqGppZpulqmt2sDVkcts7mHKYWJrZZhq1XYYoq3ia1WYdMtQ2KrE6bNW8ckVcckVWeVVB1DU0do fG4mmjqGps5ab/UMTT2TVD2TVH1gPlDP5gPDlMLEVs+w1bNarGetvt7DJvn6rV5a93OEaQXPYb1x DpPZHKvM5jBccwiXz83ENYfhmuO1LsQ1h3CZdlcDw9XApNfApNcQmDU0sFnDMKUwUTYwlA2sRzaw mm2w1myjMG3lRoatkWFrDPSBxoTRHlOY2BoJm8/bxNbIsDVasc1l2Oay+pzL6nNuwI4fpjgmmrkM zVxWn3MZmrlWNE3CtJ6bmE5tYjq1idnhTcwOH6bYJq4mwuXzNftmk4dLcsoU3HpsorZmWo/NDGUz 0xvNTGbN1j7QzLA1M2zNbERqZjJrtsqsRZiWdQtD08LQtFjRtDA0LYTG52aiaWE9soWNjy0kJdPi b2W4WlldtrJW3xqYibSymcgwpTBRtjKUraw+W5nMWq2jUpsw7e82hq2NYWsLzCba2GximFKY2NoI m8/b7JFtDFubtT7bGbZ21iPbWX22W+2ddoamnaFpZ/XZzlp+O6ExZxrtVKfmrH+eMK3CecwqnEdo Hm/csvEzH37YN/VmIUxtFWZLq3AeibD+igXuywce5FE9qzAbrUK0k02rMEPlhEgv6n3u+Msj9/Hk mfszE3LCIvQ/+fSr6R9IyClrf5YXFcvWIUx7roO1iQ6mezqYPdcRsOc6WA10MCulg+nEDtYeOqxt tZNpm06Gq5Ph6mQ6sTOgEzsZrk5mE3QyXJ2sp3cym6AzYBMsZD19IUO4kPWmhYGevjDQ0xcylAvZ 2LuQoVzIUC5kFsLCgIWwiPWrRQzlIoZyUaDPLwr0+UUM5SI27i1iKBexOl5k7fOLWb9abPSrGXCG aEo/2lfy0Sd/rZpwjpjZgTChXy1x0lQ0hFh39aHaqw89xqNhn8Jo2J8WB/oTJtWYhHiAJ8X+5OeA Iv3El2fD34M8GvYljIZl6RKmxd/FrJ0uJueugLXTFbD4u5icu9jcqItpsy7WGrrY6NQVmL11C9Pa 7mYouxnK7oC13R2wtrsZym42onczlN2sNXQHWsOjoLLOyYdW7HxCXAWfS8U+CNfAr33q16Xq9z7x OPz6MlD2iXvhP87ke0Rwdr/EQltqoS230FZYaCsttFUW2moLbY2F1muhrbXQ1llo68lPjN+56BHm TKCH1WwPq9mewEygJzAT6GE128Psjh5Wsz2s/fWw9tcTsI6WCNPuXsJQLmEolwR6yZLAnGAJQ7mE jflLGMolbMxfEhjzlwTG/KXC1E1LmW5aStj+ln3Z/aduus9XCV0I2tBNSwnwtxZd+t2P3XUPj2bq pqUW3bSUEF7ffHpZ6JoDPKmpm5YS7L+d9Ls7fvQfP+XRTN20XJhj/HJmWy1nttVyq221nMl5ORvZ lzMrdDnr58uF7f7DCtZSVzA0KxiaFVbLfQVDs4KN5ysYmhUMzQrrGLSStciVDM1KhmaldSa4kqFZ yXTgSoZmJWuDKwMzrpWBGdcqYY7dqxi2VQzbKmu9rWLYVrFevIphW8Uktcpqka1mPWI16xGrvZoS 4id+Q1yOwIwesZp6hDwe5NHMHrHa0iNWEyYS17cTkpo9YjUJ8QYS4kM8mu4RwyKXNLLmH6LSrSFo +BxJniGCcu8sAmcV3hnKsdI7QzlOI6lkw1mG0HdxMZ9elg/KvVeJ4DDVeS/lo60ceT1C1x9Q1zEv bd5ICuanzRHMszchz7WBPNdqsZNWXkt5au0lKRFD20hKuqG6JCVqqBrMd21CvusC+a5T+cYo33WU r5nLukC+6yhfnYukJOa7zsgXa2A95TJd9av1lIuej0kK5qLnTZKCueiJmKRgLnrC9CjU5wboKIfB vrgerIxLlT1yr9guBsX58HlW3INt//B+QesID2OvIm+DKFmBh68jWYQP411pR2Qc9r0P/MMVmZQO u2Saio87avxLtqQjLyieuFxkHcYZ6IUi7IQd7a4GtRy92IH2Fb3dwXVP++n3CPlJdrnI/faQ9I2M HZZrx6PiILToRRD3slAb7feUfxjp74JWX0irVxyRfzpS7l34pLdq7vXyu3Le9rsy/K4S12BPpt/V 28db55iI3xUqiVzmaZXHzmLMQys/4He19cf7nFXHvUfc8+pPnPMPrHTG43c1mv+AdmwKq/XgAccm h4Zy7djUIzaKDTCANIDa2SBOAGthKXwzxyYHOK8nRynm2CTJmM1Efa9SQox4EHth1rQWYI4KMQKf MUNM7Xs1JojpABFVVaYhxTXwfx0AXW4DmA6fMQOUDh1HBDDqAfRlmBIgDpVjBhiiGU8q7zVc2Rj0 Xrvl+ZGR8N/G72GWPwbvtYnyjqX0Xvsq+ttAwoehQLcmeK/9Gq5PgWtXZ0EFZL8VvdfeC/LdkitE A5w+IVJ7r+G9dZwnoMzzjsB7De9FfDYi97a6xMXawTzfac0T8zslSZ6+99rZbyDvtTvRSxIuH0DL EgQQcqYb3muud10fo/WA0bzXEtt+Mh+0/wtL75wbwTjPH8UHLe6oHWVjLnntmlLHXWArLVKPQ73v gv8DQO8jd+A4tIPd9Ksffg3C9d0QI7kXWtj7L73QpF+X9JFCKf9R7oxLm1l4Vm5UhmPdKeLbtDq2 25CNHpcrcRZTpfbLqML1TOHn6CYJbnc7nu0YpEuUENolyj9Mlyjf4Phx2x9moBlRYJw5ND1Bbuuj BRAAQWYIvt8Z7YPPWdF3RzdFTxObaC5V55wK3WU7CHQPTTykiNeTwAeUq1+fJ9pmmPycCLH7aULR DOVcD1f20kbVGyDeGVQVzeKUaDaEP8zQ2INO5eFlFzrfGfrnpE7lOII53kePYH4zwd+O8ds1fo/H 2kg+EP0C7KerJuDqXDCGgWiivAtTDkS4xVcWKITpOUL8OMq54VbI/wFM3wPXTsl8qwxER0M1l1Db CarlKtAxH0rH3YFwo86gWtbX9TFaezgStWwqPcf7byo9x9UjhO8i6h9vWBdR+Asrpejrw7jhIipR 4EEbZSt30HSLO2giLWyhpVloEQst3UKLWmgZFlqmhZZloWVbaDkWWq6FlpdAG1abvhXDp0R9SqFk w2rvKBsd5VMGH33LslzR05LQI0no6Uno0ST0jCT0zCT0rCT07CT0nCT03CR0lGUFfCrVZxrQH4Ux czsINOyUiGSfG8ViegQhyG0t5PXLkZE0YR55oBOyUNrrd+zdPbih74yd/c1iWd9g301UZDkcgqpw CsQ0kIL0LTVVxxsz1vNkWzFfWHedOnejoAqj5p046gKmAEQsmi9iSnPEhVJr0ijDo9uQIDPKXCVm qUJtRtkbRLUZBbB7v+NxgpKOVG3yN+/qjoXmWmghCy1soaVZaBELLd1Ci1poGRZapoWWZaFlW2g5 FlquhZZnocUstHwLrdBCK7LQii20Egut1EIrs9DKLbQKC60ygTYspCmUp544vkoSxieOKBl5FqZr 8syhuEg1vZjluiSHrTKQXszfe6Z393sfuqXL92TOwa0tiu8zPJk1N+3JLJ+buoyb9GR+T85v2694 9Ea1CwZy+/zvLrj6dxd8nbiFGDft1yzXSUq/Zv2EWPo1H5yzrvqhG59Q+2Ugt13vu6H/6aEnlCez yU17Ocs1D2GPGz7T1V7O3CNLPnfKEty3WaZPY2ikb7Pc8+PuLknxy/YTQhNh3CKsbBHGTXo6b2i+ uXNG4VNdkoLcvv+bzDP2pMm1SumMWzqTezqTu/R7/jitVfp9l6SEDQqmiDJuUdYmbF7QsSXRqg/H Dhle0HIdy1OGF3S24F7Qh9U1s6TSC/qS9/8s55p7ftclKcit48D59f9XcYhSZDJumaykmYyb9Ile eOlTCy596ukuGRu5OV/cQLGzGKcsVgNZrJTSH7oAl4ade2+XpCCnPx3G46DygDa5ZbPWkc24ZQda h/SQPqls+ue6n3vY8JDOEdxDWnLLYdykh/SNe/Zm3V4m1+fkELem3dtW3fvLHxK3XMYtl5XU5i/9 IB2HDH/pW/++Iytn0yHDX1pzy2M1kMdqQPpL15wcu7z+kmcMn+nfPonHM4bPtOYWY60jxrjFDP3z yy5JQW7XXXHCcbX/+Rvyc4wl8RCTntV6PYb0rNbrMaQv9ear/+nmBXf+wl8GgQ9rzPUY+ZRZxRVb 88XXnuDR/PUYBRDNjqCQaZ9CVs5CVgeFAT1byPTsMKUwV6sU0jN6n7e5nryQraQppDoy9WQhLQIx 9WQRQ1rE6reIIS0K6PAipsOHKYWJtIghLWLrzorYupoi6wqkYqaZihm2YoatOKDnipmeG6YUJrZi wubzNrEVMykWEzazBxeTFE39XsKQlrD6LmFISwI6tITp0GFKYSItYUhLWH2XMKQlhNQcO0oIqTl2 lDLNlcyfHNOWBvRgKdODw5TCRFpKSH3e5qrnUoa0lJCaur+UkJq6v4whLWNa0ea5btZQGdOxw5TC RFrGkJaxFV9lDGkZITXHlTJCqseVcqbRbB7xGmV5QHeXM909TClMlOWE0udtoixnKMsJpal7ywml qXsrGNIKVvMVDGlFYFyoYOPCMKUwkVYwpBWs5isY0gpCaur1CkKq9TqmqGT6u5Lpb+nNr/dB8xRz IYI29Ld08b/8lGMeXvO9X/Bovv5G3mYpKqkUfr5R4a+yqyTcerc1xtBcZVdJhTlh2wnXPtZ7kEfT q+weFZ3iAdxB250j1tKnW33j5zjj95kw27xe7IOAn2vov96fKHFmUGWhVVtoMy20WRZajYVWa6HV WWj1FlqDhdZooc210NCHLZHWaqG1WWjtFto8C22+hbbAQuuw0DottIUW2iILbbGF1pVAw7aJde6P pXE2wsRZ740HLIp4wKKIs3YfZ9owznpvnPXeeEBvxwN6u0qYY2EVQ1rFkFYFxsKqwFhYxZBWMT1T xZBWMaRVAT1TFdAz1cLUM9VMz1QTNr3/Y5yqAjpyHEEbeqaaAF+rliazaOa63WrLut1qQqj3k2RJ TY1STbAPX//bzil9T/Fo5kr2mcIcLWeycWgmk/rMwGg5MzBazmRSn8nsuJnMVprJ7LiZVjtO7tig a20WwzaLYZsVGCNnBcZI2/4NWR5v+/4NklOiHTcrYMfVsBZRw1qE3LVB7/bpVcRMBG20CLmdw1+2 f/WfLv/TAzyaOfLY9njw8zVHnhoD982codlOaozCDPNoZjupZe2kllkBtv0XTPuvNmD/2fZfyPR4 Rxlvsy5qAzOT2sDMpI61mmS7MWDauoC9UhewV2x7M2R5vKOMt4m0LmBT1wVs6nrWaupZq5F7M+j9 X71qqUXQRquRGzY8srfhHx/8ypM8mqlH6i16RO7QoPeTZUnN9iG3brig+skr/vfOX/NoZvtoYOOM 3jdB2py2fRPM+WBDYD5o2zch2+MdZbxNqTcErO4GZnU3sjGmkaG07aBgzgwbAzND2w4KOR7vKONt omwMWN2NAat7Lmsbc1nbkDso6H1/vSppQNBG25hLgEP9h477SyQhmtk25lrahtxVQe8jzJKabWMu wZ51DB6/59F028DHyHIvASyV3EdA32OW+wjkURkL4Cxs4Mij1oSxpMd/vtA+/shB34eRFOSib7kg p9YknKR/vq5h6Z9v7owsffS18Y+c2pJwkt70uj6lN7228SUFOWlzHjm1J+Ekfd+nKE7ziJO5e7T0 hr/W8xguUE7vQU7zidNUxWk+cTJ3nZ5PnLRBgJzmJ+G0gDgVKE4LiJO5W/UC4qSHKuS0IAkn6f1e qDhJ73dzl2vpAa8HH+TUkYST9FcvEtp33DW0o6SEDEWInDqTcJJ+5cVCe5IjJ3NXbelbrhUeclqY hJP0/S4R2tvbNXqlpISMDoicFiXhJD21SxUn+RjY3MVb+m7rjoacFls4YW/uUppCfrQnNfrraE8s 6ftc7p2hnqrwzlBPVXpnqAXQEwu9iY/NRW/i68l/B+eWh4T8LT16joUZqO0j9wWLBOYqPRbaEgtt qYW2zEJbY6H1WmhrLbR1Ftp6UGSJtOMTaNIrW3qXHVYe3ekJ/Vd6bZv9UHpuX2vsXSC9t/2eiRLL YnUrPYFlTkJ5Aqcn9ErpRWz2LulJrPuppGSy/hZTHsU8pyUqpyjlJL2Azb4mPYHNPiO9gXXvk5RM 1otiyiOY57RU5ST92ZZSTmYPWko5mT1hKeWk+5SkZLK+EVNOvP4H2/Iyykn7tC2jnEzdv4xyMnX4 MspJjwaSgjn5Wh1bIs8Je6b0bTQ/2cqvMUeY/pD4nCPunWG8KjUS9lo4SE/GHKOt9RIHs631Ulzd 1pDT2iSc1ipO2n8xN6EtraW4ui0hp3VJOK1TnKLKIzE3oa2so7i6rWCK9SqFrPP1lMKs8/WUQtc5 Sud4SqHr7nhKYdadfG2OrrtHQcZ7wkLcI87yPkuUNmrx/AxvdHCViPQzpOV/YelneJUzDj/DcBI/ Q2Q4iX6GjjgoVtKOH5eFTk/pZxiuGL+foVxlMsVYZRKukBz8VSZ5ljdHRZjPUjrzboqyaxlJ3xz1 9MgDjtjf43kwIYLJ8mByhXxjhuXVTGhS5tD6zJDTA51vTeKrmFpVeRNexdRCBmxowh5LKSC1ESQs YdhzB0oA1UYm6zhAjc1HKQWodgOUdgFKANVO1u84QI3NLykFqHkECntGuuE4tUE0J0KbR+b0OKCl 9kgaA7T5BjTfZWowCG0+2efjgCbf1XkE0BZYpTYIGSZAW0AG/zigpZEOPAJoHUmkFoDWQTOIcUCL 0AKaI4DWmURqrYnQOmlKMg5o6bQa5wigLUwitQC0hTTHGQc0+WLgI4C2KInU2hKhLaJJ0zigZdA6 oSOAtjiJ1ALQFtMsbBzQ5KKj8XuR/BrGsAcm4OkRGYMXyUR5p6f0IvkK0Icg4S1ZQnzT4s5YDNeG YNBY/pZ0ZywFbXgqTJUfBYWNr81M5c54mxB0IwJlnmF90doe9qI19L86K/CatS3kebUVDEPthZXK 9RG3wPkYtIHPwvc+N7XrI2JbkQTfG9P18docIT4JBf81MPv3aNDHRl/Xx2i9ZbJcH18IC9oi5zZo HYVOatfHg8J3co0mdX3stbo+7iQ/vW1EGZ/ro8wfb43bXR+fFecHJjruJE90oqLJqaYNVQ6GFlon Oq6a6MTr395QJXi8vaHK28eb/ZjohiqZ7JZDFjvLZjcucpLejnjxivuP2oYqKd4U3UVbgYx5QxUh uukGZnqicdpNdzkjR+Nl1l20GciYN1SRWALbgaSCOLabFSkhZox9QxWJJIOsmjECHNuNi5QAM8e+ oYpEgpOKMQOc6IYqT0KzfXgCs4ScMcxAJso7O+UM5DpHbqjysxQbqnzhLbuhygfUhipznPFtqJJ1 hBuqXKA2VPnxKLMKzK8vSZ6ydwRnFQOv87ziLrVlyn7XvqXKXSm2VLH1gcmaV5SkyS1VzhnDliox x99SJXOc84rd4kz4YCvYQVurxFWtnAe/B1Xt2OcV0nc5+ZYqtnlFaJLnFWGxPtQhrgGN9QCMVw+J 4LwipOYVd0xgXhF8gHJHveTgWywXWh6gFDEbpZidldhtlP13jzw98qojur94VB6ZpBi88HmlnvT3 QLUPQpM4W238siVx6Oqlh3S5iUNXLz3Jyzka9gk+QM2J4VKFHGejmtk1wBg7AJ8dEHAmttUGE58c jhlmahsFR1i0kIIj7CF0YTc6+VhHwaIxjLAT5V2ccoTFu09LIHwfGlBhHueGr2lYBgG3kZqaNxkj rDPKmBcas35/vcdiH61JTdbvzHqsTBfiszlCzIPTn4jUoza+dgaf0WI9lhzBqI33Ar8FbeVXY8hz fYo8/XuBvSnuBU5k7O2M5dKOGtNwJgbXi2g0/jswxTbz3/B9goP38qew0fhvLj6x9HMYrb9M1k46 cqzD9GPfPgzHOgy0U0UEHzp0GzmznSrW0LoJhx5Y5+W9oXeqyMtT93L8IXBrwk4VTZ7I9E4VaZad KhJproUWstDCFlqahRax0NIttKiFlmGhZVpoWRZatoWWY6HlWmh5FlrMQsu30KZYaFMttAILrdBC K7LQii20Egut1EIrs9DKLbQKC63SQptmoU1PoL0qpMqRTfaDrtytxvcHwS7tv5FD7pOh38gh2Fub MLbDOOm9MqSPgONxuo0MRtsOEi5Ln2x3jNvIQLS9UzjE0uv9MA6rvTLM9zyFhPn+qVCgJHIvDP1e ijDjZN8Lg79rOY2lT2MlSWPp06wlibD0tt0vtCQiVkmms/TprE5t+12Y70ZJZ28QwhRyvwv9Xowo QxNlaKJWNBksfQZDk8HQyB0uzDcFZbA3Bb0q9A4XmluyHS4QTaYVTRZLn8XqNou19ywvvb+nhfnW LrmnhX77SDZDks3kkm1FksPSj76LhfmeHbmLhX7PDqbIZdxyWblyWblyvTbr72Bhvucrj3HKY/Wd xyScZy1XTJjvQYmx9DGWPmZNn8/S57OS5LP0+db0U1j6KUyuU5hcpwRa/xRhvhkIU0xl3KayWp7K ankq68taFxQI8+1zBSx9gVcazLtAJL41rUAkvne9kHErZGUrZLIptMqmiKUvYrL1d6+Q18x34RUF Wkkx41TMarmYyaXYikTuAKHfIVPC0pew9CXW9KUsfSkriW1fBvOdeXJfBv3OPH/vBM3NtneC410z R8Eyw/9Wastyxqmc1Xc5q6Fy69ghdx3Qb+qpYOWy7TpgtpeKQHupZNwqGZpKJuVK60g0jaWfxmpp GivNNGstTWfppzO5TmetfzqlN9+kNZ31xUdh6j0HlPdO9ziYKHQL+R93ApDhOPq2UTV9Lf3W+wEk 2kZVFlq1hTbDQjvGQptpoc2y0GostNkWWq2FVmeh1Vtocyy0Bgut0UKbK4I2Y1xMlm+97/+uuVWx Nmrzfzc9KKsCu6JVM27VrMVWsxYnPdZNn9rqwK5oMxi3Gaz9zmDtf4a1/R8jTL/LY1j6YxiaYwJe 5scEdkWbybjNZGWbybhJn3XTC3dmYFe0WYzbLCZ3m5e56RM6K7ArWg3jVsPaRA3jJv3CzV0MagK7 os0Wptf1bMZtNivpbJG4K9rswK5odh9u/Z57k5v04Tb9aGvZrmh1jNPoPtamN3hdYFe0esZt9DfW m62jPrArmnyzvPbDncO4zWHc5JvlzV0D5gR2RWtg3BpYSW1+zaY3eUNgV7RGxs3mf6xrQPofcx/h xF3R5jJuc1nrmMu4zTX0j9zVYi7bFe1R6GW5EXxkmHpnGft2qnRzaiYZQQ50MPiVzm9Ova2739bd b+vut3X327r7zae75THxZ+HPzpQcJv1ZOBxzNn/GGTxtgfcs/NTXZr2e+Sx8BS2B2EkPm+VT8dfq WbheDIz3N+XTDiH+MYKeRXLxQ4Y6z1LfGOTdMbk/eD5VlLz29vHmO6apDrqs79wdu7bFV+FinWmq PZx1ltgxTdVz744te3YP7D5zML78/C39O2Xv/0j29pLe7zv4e+jiA6fHlsjf4uo7n71n2w8c7SFx juJxPgS8AzhEXVWIS6jT/GMklCl37K+Kyoem+2WyFUXBfONLt/ftGSTVsmTHmWcuoDu1dKWRrjQu EC92/M+5hmoSW3bv3Nm/ZXDH7l2kn07c3t8/2Eztdmffnm1OcM25aGpqadzTP3DezsEBSkKcW/yf zSI7JnvLNHEX3bnBclSJMyPSixF9lX2BVjvZIlx27SeH1x4i4dwNZb+IVrHLjF1Mc97ZW5tbbqEO fx/0O0VpvY+eSYi+vdvuhl72ZJqZCpC3yhQ/9J6yRrvvpxwKE3KAk56NG9bpDNI14X6QPvR5J/iw mvTCI/c9sq+xPHb5Z6Oifs5fv47PWpscqRPw+nqlBzYJ6eSzXUjXj1T1jWPVZRBQjb6sEP4mLKjN oYA39q7uWXqi2I5t530x+YRBKL6272k4ogiphwbO7tu5M566vvvN6wj+zIaW8dS3zPnk3XvePYCM BzzFqQtAKSQ5KNXgkUr+Bz/yhRf+um577GufAfnXfOMxlP83hdTLeH2Vynq9om0VUhefo1BeouR8 hZL7F1V93GDI/RviCucbotD9EoUrHOxPx4TSxEedfucqCoXuRyn0O1i8vxPUIZVzgyOfkR92Mqjl Z7h4TfP4htjp3Emh0P0GhZ0e/6uc9zjXUyh0r6LwHo+/dNaQ/DMU/5jij9c0jzvFJc7PKRS6d1K4 xON/vfNx5zYKhe71FD7u86fR0Y4fr2kePxdlzu8pFLo/p1Dm8b/NiTn3Uyh0b6MQcyTHsOKcqb6l AVPj4NJqbCaSmsvyb3CiUnNA/iMGEkRcFC50f+W8DDV3NPij3v0Pod+Y8voeXwEc/wnhGgjXQsC3 dX9VyBeOfU212/+C8HUI/w3hRoELb4T4H4HtWPaNb0FA+/RmCN+B8F0I34NwC4RbhXSWHIZwu5Dj zAEI34fwAwh3QLgTwl0CdSju/YG6VYgfQfgxhHsFKk+5yAn17AMQfgrhQQi4HPRhCI9A+JnAvY4E tB8hHoPwCwi/FNKRE5dS/woCLjA/KOQrvA5BeAr7I4TfQvhfCL+D8DSEZyD8HsIfBC5yxcU/QvxJ 4KI3fA86vu9GiBcg/BnCixBeElKv/gXCK2J0uwzb16lup/t18ZMR1CF/M1QR74GyBRW4uiWGnRz6 dh2Hrkx1C13dRoWKW+jmGdck7SVH015yNO0Rj/aIR/uWR/uWR7vSo13p0fZ6tL0e7SSPdpJHm+fR 5nm0Io9W5NFeFpqGJdXlmOqV4wlH0koNmo5X6r7i0V7xaDKFTCvlk836bvLzsfX17IS+npFCl/xc DDq3wIigtbUI1GUrfLdk7hefpeddKxp6+/sGztvTH9+xKx4YQHEFRg45wGQIXE2BbQUdRPA/7gGY SZQMj4LI8HrmUS4vlkuWV7ft14a/GFc5xATzMWsrg2orx5V7FTTdnU4jfkvmH52/UF5Njc1k7mn6 fR69hdH/y6O3MvqnPXobo+/y6O2Mvtajz2P0Ro8+n9FzPfoCRv+T0PQORX8tJPta1lyMyhl3zyf7 dWBwz44tg+nUT0Jq3ZC8fhppj527dw/0D4bIYS/9NZNGLuOb/HxiNkkqHO9wT3ba3H8LaKdmksp8 dx8929/Tv7N/b9+uwfhZ523ddnY//Niye9fWHaibBtLo/UBR4BelX2E6w0+2R0lXFP9q5DUrIZf0 ay/h65yXRs5wfhVolyjX/3P/DCPGh0MfDt0q7QForD17dvTtFMkPbWcWUg1d4zw5grppRcPZcvwg KWer1ou2RDrDjPbF6yN5SZXzghGjHBKVN+9QfBzLmOkSh/Lw35xmd4rz9LjmATw/Hzfm4ucscb/i NLlTnWeOOn9tB+rF5aZkcaak5fW5zwXnaVHFFa/5NWCXV7XzklPm/NHhtgi2QTkGFDqv0D2knjVr RMaEtV6Ghz95izgSyY6Hv12yflvzJNt6pkXuSrJwzS7P+SDPuVZ55pA860CeSME7Pxkk0cwJSTT5 nHJyJDoe/naJ+q3R79v3WuSte8C9SSS6BiS6LIVEu5REe3vWbsxSdvBk9M7Jluh4+I+19987krz3 35u0z/eBRE+xSnQKSXQDSDRdtdGGDc3Nfjt9K/V/dJNN1v/xml22e0G2u1LIdoeSLbbWhsHm5iya PdwNI34Vu7OcRdMDffj3mPWTTfytd2dNkrq9paOtuXn+vHY/tX4Kir/1Hr/3COnsJPCHg4f5evC3 j6N/ZKg5+5HNKN5UI8HQkEg6EsA1e9/6JPSti1P0rQ+aemuwxdBbE5XtazMmbBYnik3wf5lYAv+X io3q3c9jPXDVO95HxDlsNEmc7vIH1t697QeO/javuWIdbS62Xm0F0ESfsR+4up3fzxz9GIRw/lT5 Ow3Kf544m7zQ94gLxGqxC/Trbvit/dJxw7Pkx2xoA1grWB9jzR9l9Ruh818GOWwhDHIrvvHhWTCB 8uNxuqqFybUJxJm+lZVoE+A1e9/6IvStq1L0rcvZuNXS7FtaE+1bb0ab4N57fXsr0SbAa3bZfgtk +18pZHsd01utk6C33oxjghBDFsn7TzTtsv0RyPb7KWR7G2u3rZPQbid/TECdoR9ho5TwXD8CeqBN iK/GhZg3Va1pCH0+QyivGrXfvaqFLO9+Qra72BGujyn5PQC/fLy0/pmtjKPHkFJY5IxQpcsWIK1M jSLZPR9nHPd6Opz/c3C1h/2ZmWvlH7LWreNhSn5nRpdGc5WbVpg1fNhDj9cSMeun1seKleJyB0PE OVZgWJmkBI5XklTYw0xyJnZEIbFnOpc7SyFnPCsMf1e87FwurlbP0J4HerIWop8qPg9oZezHVeyp 8EvT7vJod3m0mzzaTR5tn0fb59E+5tE+5tHO9WjnerTTPNppHm2lR0NpTkRWfqv1ZWXWsy8rU4sN KQu1wUlj9S4R2SW4UqGe6kYc/5eP/9hx1XXaGPBPFr/5zt/o+mTxizhXOJNZ3ohzpbMc+NnHGUfV UJr1jqmuv7BxxzRZv10jbhenU4g4ayjc7l27TDwlvkIh4lxG4Snv2sPiRvE0hYjzMIUbvWulznWA AkPEKaVwnXftXc6wOJdCxHkXhWHrvcmwV0L/3qTmcbr4ONjzGCLO6RQ+7l37ivizuJlCxPkKhT97 154WV4q/U4g4T1O40rvW4GwW3RQiTgOFzd61c5194sMUIs65FPZNSIf59YylmXi7ScWPj07CO8bb s7EXy+c1LynL/zJvdjW25zU6j4izUHDNgNpZ07SeRh2saY97tLs82l0e7SaPdpNH2+fR9nm0j3m0 j3m0cz3auR7tNI92mkdb6dFWejRfr2ldV+BmGDQdL8P5kEf7kEe7y6Pd5dGyPI2Z5fFb59HWeTRT xya2E1lH0pYXQj5Tc1y3+sQLBgb7zwbKi1PF/vZCfTdsCH/7dRRJaTck11PB9mZrv5PJn9tpwXUK IzC3p3UK0yPqGc/vyQtGrlPAta6a/ohHb2H02z16K6Nf79HbGP1Kj97O6EMefR6jn+XR5zP6Ro++ gNG7PXqHok+ujFGWR7MO7fyDNZfnvItqrnl6xKN8iSgtBuV/pbODQamjXdnagDJFUU6T8829/Xv6 tvXTE3fEHlHfR7dssh/+TelK9WxbuOJEWjm8YveuwQFhO2QO6QxP8vOx4U+cAabC3+i8KKqcJwJ1 I9eIHOP8ilJs2H3Oji3bcPQI0z48rxU6Lt2JjkRR65xJz9W1lTSWudn3lN08nvJGWX5+eTGXxNnY d8RLzhXiC0edv92q9G2uVFal97R4DM/hvyS+6vyb+LLlPoZcy/Gv4gYH+3PPeYO7z+4b3LHFiSpd J7/dcfbcKMPaoOrW3raORNbj4Z/6TlF4zNavXcLfBAn/l1XC5SThr4KE8YnyxoH+PQ09AwM7wCzY Cn1Q6sSw0pKukvrEpB32ynR0pD0W/hMZwybC37+v5+fmz7fM3A97PTIx94ndfTJj2I61PWtX4/d3 xVyxLIkc0q1y0DgzvfIk1yAniO+ApbV8DPylS2Yac8l8ElrajeED9EQX16afJs7B32edFX/tjiWE oY+Ktx/qdLGTTT0gjcY2R+wTODv+FfSMofLFYqVwM0oJr3TynEr//5tS30r/F8OVa0bi/7hl1lfL FlFN4EtWuinep+l/Nf3PJc+qmynNL4jSLMrIE2DkQj2ipTk99GoX3ML6zXr1MD63u1BbQMG0qa4e SdrXC/ORSRJXLuJVJ8nVY5JeXZSSc+qr1x/R1VTS+KKXVmqEo7lOyObNpZ8J4jX7iPlr5yXn0RTP Vh5kz63aJuG51ZvxmeBonmx22b4Isn1WyTZ16xh/u9uYtN1NC1cAsmJQtMdUz5gzY0bT5tqFp83W J6fVTgtXgYavYNdPPaF/67t4pGooRKUfqbGJ84FzjFUDA0N1YqwEbirqfFEnWoTYjPS6uM5ZnZ42 W2WsCdUN1XS1ezMkbRS1uKXG5tlmOp4oIUWXmIO+/2ZmEhvPj6AZWXZ1+SzmiXpcBe9lqtMHEiek PCjkxtkvjcSFf9j61u/Yc8u2SXhu+UZ4JjwZfh5j4T+aF51pg41vffnJbrv7DfHQSOLshtuxiSVJ biWaEkkdf+wx7NL170EkK61fHkc9GU6mA5PfJUjMN5kFHU1agtebg7yD8uIE76DEWAvAtjWZ/Caz ZLd6/WNsSPITSpY/qfyORkmfn6DMp4xLv06ZAKLxympqEpklO5+aQE92PuVt/mM6T2ybyc7Hmv+b Pf5Yz99ouCdazjcarte7fsemGXXs1JpR2kGDzk/cu0e+leRpfAF9H05ieeg5mcwnaLOd4/zQvXfk exPCHvUQjI79aPHfrfDrssvXJ5my9W3aiDovUFwwbvJnD3rdRrUzzWl2pji73CnOZneag+e2dW6+ pCV3vObjNrlVOy+ONDtPjyBXPNfX8Bzpu1wMUyhXudIqT3zQ+d1IuZPMdpfP+JEzL4+/EgO56V+7 XBn/FVGtaH8Uzd4vffUh7+o93tV7vKtf965+2bv6Ze/qx72rH/CufsC7utW7usm7usm7eqx3tdW7 2updLfWu5npXc72rL47oqyhd/WuXeyStL3ivyV9ftZv1nnSvvflzr+RzJl3rZrvS7cy+os5vYbxV TLRtTUQq6R6WxD6Jv7hUxrq6ubfX77NadkiTOeCvZLJb4ZQ5K5x/F2ucqyAUOnhue+pYkFAz/Kmj 5tYGqduA2woK+LtMyUg/mynwMA8M3B7AjDTJFX/5GCW+Tgiau10yBax+STJlrRa5KQnBNSUh+KVz 2wSYNzldYrPTCaHQ2WRKxHg2mKit8FpQIlK+XWIThTKSL5eIX4sDs3qDEgGakgj88jFKfGsgaO6p 20qBta0k1ipvM/5OYWXOR50nxKecn0ModD6apI1EvbxStZFBSD0I3D5KAX+nkMiY24jG914H97+R 3I9eG7kKMF/lvCKudl6EUOhcdURtRMr3FXEVhTKS75G3EY3vUxA096PXRu4EzHc6F4sfOxdCKHTu PKI28g1I/Q3gdicF/D0ZbUTj+y4Ezf3otZFHAfOjzkbxhLMeQqHz6BG1ESnfjeJRCmUk3yNvIxrf jyFo7kevjYRdwOzuFZnuuRAKHTyfeBt5ASTwgrNXIEfk9MKktBGN7xXnXKG5H702UgS4i9yXRirc wxAKnSL3SNqIlO9LI0UUyki+R95GNL5MCJr70WsjywDzMvffxXHuVRAKnWVH1EaaIXUzcFtGAX9P RhvR+BZA0NyPXhs5CTCf5J4uTnNPg1DonHREbUTK93RxEoUyku+RtxGN7zgImnsiV9NWxnqzz8T0 HoSpZmJ6juLHmgq/Kp3EOdkrQtP8mdhDHs2ff33do/mzro97NH+utdWj+TOsYz2aP68q9Wj+bOrF kUolZ9/rUKg1tEVOgcP3djssMh1/bzfcE0zSf+zRWxj9Go/eyugXefQ2Rj/No7cz+jyPPo/R8z36 fEZ/dkTTFyg6n+uM9U7PaPPIxPkjyk7OlK4Qac4HxZ0J8xu9rvEicbeQe1SpPQ7pDga+1VF+/D2q Jh+ZnsP5LTURo265m93E1jzD8Vt4n0fr82hf8mhf8mgHPdpBjzbd1bTpXh6bPdpmV7dI2Q5nOV3U DpuhHWrKB4nSYlBuI0qrQXmVKG1AmaIota6xArxZy9nc1+61ayG9ziPOfOdrAenL3fk6nf9y0Fuf VlYPSIQhA+fRaxeTxc9+f3Cy+JkrUcynsTLVWJ5px9Q9Fo4v9b0Sf483jhdz8XOWeHPFB5ynRyqO Ov/UI7w/atqslPGs1X55ZLbzp5F40rXavx+p52u1Xd1ms+jb91AZnywS7xXb2saRyHo8/MdqX5r2 T+AOVdK12pliNvy2SViu1f4HSDi4VlvvT6f1WChBU4xPGgWsJ02+tMfCfyJPFibCP5mlp/uGPE/3 anfsuoU/e0lcLxNNUpLkfd2UyNFcLzPH0TK6FdI5Ivm+BOaqGTNP26FXnvNVhm/F/X/+FcILp8jf b/X9f1Lt/5HWLsSuqULceIpQ+3/8fA6+rKmVrmIK2/4ftwn3DbD/x61GLzla8bFn+rvl4jHe1T5B b0vclqolE6WNvQlmVAvmL2hp9+1j+dGxVqtYC5rndTS3JMaS3oEzoJYQPdmwHf7oNJpPsj5+/uxU ahn4thAfebL1kskl1iqGnBmiJ2BplyiUSx18Zwmt5z5xwwmrl27o99d04ze+zz4jwfIeX/77If+L kuZ/MeVPa15V/v6618nJX7gzxIFA/kUq/x/Q3odU/jXr1p243Nz5MpN20k+2wnP0vHVrTcxbztHa xHxvZjdVUVY7smW1ts6b1zTP3v7axMdVrPYFHU3Nrcli/VDFamueN2/e/MRYEsNyhaHFw7Dcw9A8 r729NQmG5R6Gpg78JIulMbTMa2ufF+gpEsNJCkOrh+EkD0NbU3tLSxLuJ/lyaG1qbmlLjDVFxXqA 7sxBrPbm1taEWBLBNoWgzUOwzUfQ1tzUvsCOYJuHIJW+2ObXROv8jmAsifN80BfG/Lw9g83Pp6o4 fvuY39wUqFMdS6Nq6+hom5cE+/lG+5g/r6U5MdaRtHl9lriWxFWx/TUktl2TTMtUX0cvOnmvBKny XglGt1uxYboT1p1RRe9qwcNRG6VyXvkeL/jlpkqbH0hb7aWtHiVtdSBtq5e2dZS0rYG0y7y0y0ZJ uyyQdqOXduMoaTcG0p7ppT1zlLRnBtK+x0v7nlHSvieQ9hIv7SWjpL0kkPZzXtrPjZL2c4G013tp rx8l7fWBtLd4aW8ZJe0tgbTCS3urSN6eb1Wz8MS03V7a7lHSdgfSDnlph0ZJOxRIu99Lu3+UtJb+ 7HjldUYprxMor5e2e5S03YG0Q17aoVHSDgXS7vfS7h8l7f5AWuF65U3aNlR53eQe1aPpZq1jzXVd 2h6xWyf2PfsiSpPzuz7pBm+uyX184og8SmxXx+fxF7VKwjbznwyOek7y7ATX+2ep9IcnmH6s77bK SqCPdi4SyvfcBPHlJMzZxpt+rO/EyUmgJzufPH5cLuOdi+YlyDnZeWJ9jLW+xyu/sZ6/XvmLBPrr LY/xvScntSYZi0ej9jcebV382O/Xcv/G8ZUn6qFKfv9Wl8c2I0i2lj2WoF9tq2SnipfFEw4GfBMg hpdT3tU+0rryy+bXFb5l8AVAIlcu/1W9iUiO9Po9i6l2WX3J0e811G9gxHcxatq3PNq3PNqVHu1K j7bXo+31aCd5tJM82jyPNs+jFXm0Io+m38CI72J8wpkM2dlWmZvtwpedfY243+p9hHaJImL5q9B4 A6Rfnom9zzX5LgLB8hwt/icdQT8dC/8jed/t2Pj/2nkR+I/5bUzGM9vA25hS7NoahzG4hUKhG6dw mecvkOZc5BRTKHTTKFxkXbeV+P5jc4fVFnG9s5xCodtC4XqPf7FzmVNHodAtpnCZ8f7je5OWB69p HsvFXudkCoXucgp7Pf51zoCziEKhW0dhwONvezOQxn+vsdrsZMC7g0KhezIFH/8iwLuWQqG7iIKP f7S342geO8QpzvspFLo7KJzi8V/rbHD6KBS6ayls8OUDvT0ZfrymebxfHHQupVDovp/CQY9/n3MA JIKh0O2jcMB/f/aZyeWP1zSPS8UrzpcoFLqXUnjF4z/gPOd8lEKhO0DhOV/+96aQ/72+/PF93/vj uC8E9gDaF+JF1RVEaro7Trp4C9Id6P/+Ielpol7GfyWRXpuEPicJvc5Kxzuq5BOfgGdKEnqayLDy 8fDHHSdKejKRjk3DRo+BerbRHfV0OBBfNtRg/FiUrgTyxYVZFnoMOxLRL3fDIjYUGsHv/KEIfU8Z CtP31KF0+i4YyqDvwqEofYshQd9FQ2kjj9AOYE/R/+NFOdRMPeSI92UDrz/eGs2GIGhDMjy2Rivk uTL85APZcNm1nxxee6hb+PHVFO10suU+Ah2yGu+7uBGxdHvfnsGWj4gS8Sd8LgSlHaCtSf1MMfbJ xxmxm5GSvw5jR8SJ2/v7kVIinj1Rpk8E/RFRJN6Jdxkh1ZkNLU1NLY17+gfO2zk48CmQH96G+bqD 27E64WIQsHw0HCYxYxlxAdEBaBIH4GTDpx3xB3EGPmY8/E4qT+RwHGNmyxsu+JjbVUFykL9bRdZh bJC30wtXL8LlStH9Dogn2i2mPY/1mwO/gUm0GMJfoBB/FyudfQ5u0UaG73lnb21qCctndWH5yExR W9V3m/puV9/z1Pd89b1AfXfI7+Ym9d2svlvUd2tEv5k3Tb2CFwrWt3dbiF5Kme69pi7de6mapg22 eLQWj9bq0Vo9WptHQ9D0kDaLPQbNYg8lM81HhJnqEp2ke49sMozlXzkJC5VGQHNExU2QElvcc/CN bakJMvkkfJ+fpd5kD99zHXzXh1A7BMbZDoHY83C92cVUoR+m/73iyyCWVWI99Mc1ok8MiH6xB7j3 i0GgtIkm0Q4hLk4k+g5a7RGH2CcK83DCTtrj4g73xBFB77T+febu6FaBO91uonuEm1zsbGuI6yBx OvLDMb5dk5BwrD9h9UmHxrM4ZYxHCf2P1eAHv/0rd7hJkgj/Qkyc9o6Q2L407FEcSwGm/PAvf88z znUM3IEt2Yqht4///44vgRJ1xFZqI9gGNrmbVFM62KW/HVDRuD7n9FimGJ7x6RLcHbHUOHNEGZ1t rbwucyOtgZG7bjoxUvexmJdbeNmFzjn3PytagfRFGAQuhJy34shOeTuiJUZzJrqeHsumNGkwbEZB m2QCH72gCbGuBVobxAtBvBCtiUuTu40D7fhYnuoS6bi92hoY23JiOIBmOD3iPFAUu73lU1sg8lR1 EyVLLES9dTxEzyWyy8k58Dke4IZUb4nAb73ECrPdTAVGUMu9X2OClwfwpsFpjrNR6ckG0QO/BgDg AOm1rTaYefAZM0zHy94GcxlIvgx+HwMUV8yMxYGpTP4LEPr3jZVkN0EeByOS07oY2vhBpTQLuJQS Bq1YMA/kHZoU3mUB3itiODr0xNCQuAPoG0GJ3QDD1aEMzu3vcP0xYHoujGjXQKikFIkHpohDDo76 nKFiOcLXlM+JaVBnridlfswQvQoZ5hCMgjlMj9XZklqP6c7ouVWRDHS/QXMzQ/URU+a3g3yHYMp3 I/z+NwgXUVq7zCsh4AoDlHkFk3lODGeNac4G6ErnUDeqiUXUyIE5tkOQvTnk9Wa5VwgexdSb5f1W ybJIrKN0BbECa/mRR3EMTUhcrVkd898LmycKIc0BKDSaPLcD+D/hEz5nuleiNCiRvr4JUuC67dFa IfSqUVtheaAVJgbh5tI1+ewSufRT/wq7WYoPtK5mdeqYp46+2qJOHfPU1Vdb1aljnob01TZ16vin xXJ6BYoHNOFeUjV9Yht8y0uO7VI/tauQKosQK0ee3/XnTzzSJSmY5H++M/zl5scOEUUi/8cdz3St arpTUZC2pvhdgz9dfjNRJH79zmBJwTiHtjzXf9fLB4kiS7Fg+80nv6PzcUXBODe98NffPt7+DFFk Wa7ZMuNg7eWPKArGKXnsc5eu/Muvu/pJ4xzrZopwRNP1uOPbsjFmy+YQlmz4vxXaFv7OJ7wxsJP/ /tXnH+w9Y33XZqLXEb2e/n+IKEPGmueZ9Ax9BPoXtL6wzUL+Ek1gRpSO8e01c+wFTSZo5ZGS7PFE xx4edWNEyRaq4Tp5RHMttJCFFrbQ0iy0iIWWbqFFLbQMCy3TQsuy0LIttBwLLddCy7PQYhZavoU2 xUKbaqEVWGiFFlqRhVZsoZVYaKUWWpmFVm6hVVholRbaNAttuoUWT6C9CjWJ7U/OIj7oZlIrprNu ec2FM8e7FqKztm6pEcJwtrfi7nMr7n6yC2O7jJOrOEW75TXN6TayLEMqpvwfJiQhlj6k0se65TWX erJMH1LpH+6S/2X6MEsfVukPd8lrOr28JtM/rfRNYknSiFNIxU5jnNJYSdIUp4Nd8r9EEmHpI6wk EZY+Yi1JOkufziSZziSRbpVklKWPsjqNeumx7FFKf1vBX28oX/PTLklBaTxTcOu+D332ISpxBnEL K24ZDE0GQ5NhRZPJ0mcyNJkMTSalH7rrbw9smv6jLklBNKd+cMm+K7+wn9BkMW5ZTLZZTLZZVjTZ LH02q9ts1t6zvfSIJNtoJT+l2DnEKU3FzmFIcphccqxIcln6XCaXXCaXXEq/p6zvu9fm39UlKYjm uZNe7vjKrO8QmjzGLY+VK4+VK89rs8gpjzh98+xffvvsX/6MYscYpxir7xiTcMxarnw6j6j0+Sx9 Pkufb00/haWfwkoyhaWfYk0/laWfyuQ6lcl1aqD1TyVpzJ1+8Z+bF9xPORYwbgWslgtYLRewvqx1 QSGlT1fpC1n6Qq80mHchpdc1ISmI5qbr8fgFoSli3IpY2YqYbIqssilm6YuZbIuZjixW6X9FSIoD raSEcSphtVzC5FJiRVJK51GVvpSlL2XpS63py1j6MlaSMlbLZZReS1FSsDTvrNl7Rs3eBylFOeNW zuRaznpPORsFy4nT1st75z22VWrLCsapgtV3BauhCuvYUUnpM1T6SlauSlauykB7qQy0l2mM2zSG ZhqT8jTrSDSdpZ/Oamk6K810ay3FWfo4k2uctf44pd9LkvxBl6SYfXEY+lcctFIe+2SJR8UysQwG hZ3ucaIbPvJ/t1irwnH0baNq+lr6jfZRlQjaTLMstBoLbbaFVmuh1Vlo9RbaHAutwUJrtNDmWmhN FlqzhdZiobVaaG0WWruFNs9C67DQOi20hRbaIgttsYXWZaF1i6D9i3WeR2PeMJ051K7wvVw1cIZt 8v6zGi7848U/7YpTsnwxEx9PhvaH9pdCqmklIiKjYmO953sxceEXHuRRw/vDXlRsxVWWVoxIZgnT fp3F+uos1ldnBfrqMMWRfCOKWzrjFjV63izokb5GmyUyDY02C9Bwa7iG4aphGqmGjRk1zK6uYXb1 MMU2EdYwhDUKodQtNR5CLG+Nsm80Dimv2cK0cmcz3TSbyWt2QDcNUxwTzWxC43OLGqWczdDMVmi0 3pZoahmaWqbpapnerg1YHbXM5h6mFCa2WoatVmGLKd4mtlqFTbcMia1OmDZvHZNUHZNUnVVSdQxN HaHxuZlo6hiaOmu91TM09UxS9UxS9YH5QD2bDwxTChNbPcNWz2qxnrX6eg+b5Ou3emndzxGmFTyH 9cY5TGZzrDKbw3DNIVw+NxPXHIZrjte6ENccwmXaXQ0MVwOTXgOTXkNg1tDAZg3DlMJE2cBQNrAe 2cBqtsFas43CtJUbGbZGhq0x0AcaE0Z7TGFiayRsPm8TWyPD1mjFNpdhm8vqcy6rz7kBO36Y4pho 5jI0c1l9zmVo5lrRNAnTem5iOrWJ6dQmZoc3MTt8mGKbuJoIl8/X7JtNHi7JKVNw67GJ2pppPTYz lM1MbzQzmTVb+0Azw9bMsDWzEamZyazZKrMWYVrWLQxNC0PTYkXTwtC0EBqfm4mmhfXIFjY+tpCU TIu/leFqZXXZylp9a2Am0spmIsOUwkTZylC2svpsZTJrtY5KbcK0v9sYtjaGrS0wm2hjs4lhSmFi ayNsPm+zR7YxbG3W+mxn2NpZj2xn9dlutXfaGZp2hqad1Wc7a/nthMacabRTnZqz/nnCtArnMatw HqF5vHHLxs98+GHf1JuFMLVVmC2twnkkwvorFrgvH3iQR/Wswmy0CtFONq3CDJUTIr2o97njL4/c x5Nn7s9MyAmL0P/k06+mfyAhp6z9WV5ULFuHMO25DtYmOpju6WD2XEfAnutgNdDBrJQOphM7WHvo sLbVTqZtOhmuToark+nEzoBO7GS4OplN0MlwdbKe3slsgs6ATbCQ9fSFDOFC1psWBnr6wkBPX8hQ LmRj70KGciFDuZBZCAsDFsIi1q8WMZSLGMpFgT6/KNDnFzGUi9i4t4ihXMTqeJG1zy9m/Wqx0a9m wBmiKf1oX8lHn/y1asI5YmYHwoR+tcRJU9EQYt3Vh2qvPvQYj4Z9CqNhf1oc6E+YVGMS4gGeFPuT nwOK9BNfng1/D/Jo2JcwGpalS5gWfxezdrqYnLsC1k5XwOLvYnLuYnOjLqbNulhr6GKjU1dg9tYt TGu7m6HsZii7A9Z2d8Da7mYou9mI3s1QdrPW0B1oDY+CyjonH1qx8wlxFXwuFfsgXAO/9qlfl6rf +8Tj8OvLQNkn7oX/OJPvEcHZ/RILbamFttxCW2GhrbTQVlloqy20NRZar4W21kJbZ6GtF+HAnYse Yc4EeljN9rCa7QnMBHoCM4EeVrM9zO7oYTXbw9pfD2t/PQHraIkw7e4lDOUShnJJoJcsCcwJljCU S9iYv4ShXMLG/CWBMX9JYMxfKkzdtJTppqWE7W/Zl91/6qb7fJXQhaAN3bSUAH9r0aXf/dhd9/Bo pm5aatFNSwnh9c2nl4WuOcCTmrppKcH+20m/u+NH//FTHs3UTcuFOcYvZ7bVcmZbLbfaVsuZnJez kX05s0KXs36+XNjuP6xgLXUFQ7OCoVlhtdxXMDQr2Hi+gqFZwdCssI5BK1mLXMnQrGRoVlpngisZ mpVMB65kaFayNrgyMONaGZhxrRLm2L2KYVvFsK2y1tsqhm0V68WrGLZVTFKrrBbZatYjVrMesdqr KSF+4jfE5QjM6BGrqUfI40EezewRqy09YjVhInF9OyGp2SNWkxBvICE+xKPpHjEsckkja/4hKt0a gobPkeQZIij3ziJwVuGdoRwrvTOU4zSSSjacZQh9Fxfz6WX5oNx7lQgOU533Uj7aypHXI3T9AXUd 89LmjaRgftocwTx7E/JcG8hzrRY7aeW1lKfWXpISMbSNpKQbqktSooaqwXzXJuS7LpDvOpVvjPJd R/mauawL5LuO8tW5SEpivuuMfLEG1lMu01W/Wk+56PmYpGAuet4kKZiLnohJCuaiJ0yPQn1ugI5y GOyL68HKuFTZI/eK7WJQnA+fZ8U92PYP7xe0juww9ipaIR0lK/DwdSSL8GG8K+2IjMP+imn/cEUm pcMumabinwPf/5It6eSgnCnE5SLrMM5ALxRhJ+xopxqo5ejFDrSv6O0OrnvaT79HyJury0Xut4ek B1fssFzrGhUHoUUvgriXhdrEDqDk0yYw74JWX0irVxyRfzpS7l34pLcq9fXyDnHe9g4xvEMS16tO pnfI28db55iIdwgqiVzmHZLHzmLMjyQ/4Cuy9cf7nDu+e8Or97z6E+f8Ayud8fiK6DXvo/mKhNU6 4YAzhkNDeU4MB/Ysp0dsFBtgAGkAtbNBnADWwlL4Zo4YDnBeT84dzBFDkjGbifqLpIQY8SD2wqxp LcAcFWIEPmOGmNpXZEwQ0wEiqqpMQ4pr4P86ALrcBhD3dhwzQLkk/4gARj2AvgxTAsShcswAQzTj SeVtgysbg942tzw/MvJIhd8Dx+oRkz8Gb5uJ8o6l9Lb5KtAvgoQPQ4FuzeTcfg3Xp8C1q7OgArLf it427wX5bsmV+zs9IVJ72+C9dZwnoMzzErxt0CKMGN42Awn+NmaeeC/is5Dv5+H7EhdrB/N8Z1IP n1OS5Ckd5lZAv8C9yNFGO492ZcecXS/n19rT504Q+Ea4fAAty1DQ00df18doPWA0T59UPj4m7/8L S++MG8E4z3dkTZ/Taecdh+szldRzE6R+LNaKRepxqPdd8H+AXBd3wicO7WA3/eqHX3oveKwdh6HV Xkhh77/0QpJ+PdJHBqX8R7ItS8nl3rNyozIc604R3ybf8G5DNnpcrsRZTJXy6q/C9Uzh5+gmyXwx Pqdx6RIjRGqXGN/g+HHbH2agGVFgnDk0PUFu66MFEABBZgi+3xntg89Z0XdHN0VPE5toLlXnnArd ZTttrj/oiVi/fEBuwO9vs98Mk58TIXY/TSiaoZzr4cpeuDYII1yfOIOqolmcEs2G8IcZGrvdEfY7 Q/+c1BEWRzDH++gRzG8m+NsxfrvG7/FYG8kHInSKu2oCrpkFY3T7nAjvwpQDEW53mwUKYXqOED+O cm74Eov/AKbvgWunZL5VBqKjoZpLqO0E1XIV6JgPpcsXSTwpgmpZX9fHaO3hSNSyqfQc77+p9BxX jxC+i6B/vGFdBOEvrJSirw/jhougRIEHilq7A6Zb3AETaWELLc1Ci1ho6RZa1ELLsNAyLbQsCy3b Qsux0HIttLwE2rDamqoYPiXqUwolG1Y73NjoKJ8y+OhbluWKnpaEHklCT09CjyahZyShZyahZyWh Zyeh5ySh5yahoywr4FOpPtOA/iiMmdtd3PSuRCT73CgW0yMIQW5rIa9fjoykCfPIA51AW/2u37F3 9+CGvjN29jeLZX2DfTdRkeVwCKrCKRDTQApySyVTdbwxYz1PthV7J4+7Tp270Ti9MMC/E0ddwBSA iEXzRUxpjrhQak0aZXh0GxJkRpmrxCxVqM0oe4OoNqMAdu9nPE5Q0pGqTf7mXd2x0FwLLWShhS20 NAstYqGlW2hRCy3DQsu00LIstGwLLcdCy7XQ8iy0mIWWb6EVWmhFFlqxhVZioZVaaGUWWrmFVmGh VSbQhoU0hfLUE8dXScL4xBElI8/CdE2eORQXqaYXs1yX5LBVBtKL+XvP9O5+70O3dPmezDm4tUHx fYYns+amPZnlc1OXcZOezO/J+W37FY/eqHZBQG6f/90FV//ugq8TtxDjpv2a5TpJ6desnxBLv+aD c9ZVP3TjE2q/BOS263039D899ITyZDa5aS9nueYh7HHDZ7ray5l7ZMnnTlmC+zbL9GkMjfRtlns+ 3N0lKX7ZfkJoIoxbhJUtwrhJT+cNzTd3zih8qktSkNv3f5N5xp40uVYpnXFLZ3JPZ3KXfs8fp7VK v++SlLBBwRRRxi3K2oTNCzq2JFr14dghwwtarmN5yvCCzhbcC/qwumaWVHpBX/L+n+Vcc8/vuiQF uXUcOL/+/yoOUYpMxi2TlTSTcZM+0QsvfWrBpU893SVjIzfnixsodhbjlMVqIIuVUvpDF+DSsHPv 7ZIU5PSnw3gcVB7QJrds1jqyGbfsQOuQHtInlU3/XPdzDxse0jmCe0hLbjmMm/SQvnHP3qzby+T6 nBzi1rR726p7f/lD4pbLuOWyktr8pR+k45DhL33r33dk5Ww6ZPhLa255rAbyWA1If+mak2OX11/y jOEz/dsn8XjG8JnW3GKsdcQYt5ihf37ZJSnI7borTjiu9j9/Q36OsSQeYtKzWq/HkJ7Vej2G9KXe fPU/3bzgzl/4yyDwYY25HiOfMqu4Ymu++NoTPJq/HqMAotkRFDLtU8jKWcjqoDCgZwuZnh2mFOZq lUJ6Ru/zNteTF7KVNIVUR6aeLKRFIKaeLGJIi1j9FjGkRQEdXsR0+DClMJEWMaRFbN1ZEVtXU2Rd gVTMNFMxw1bMsBUH9Fwx03PDlMLEVkzYfN4mtmImxWLCZvbgYpKiqd9LGNISVt8lDGlJQIeWMB06 TClMpCUMaQmr7xKGtISQmmNHCSE1x45SprmS+ZNj2tKAHixlenCYUphISwmpz9tc9VzKkJYSUlP3 lxJSU/eXMaRlTCvaPNfNGipjOnaYUphIyxjSMrbiq4whLSOk5rhSRkj1uFLONJrNI16jLA/o7nKm u4cphYmynFD6vE2U5QxlOaE0dW85oTR1bwVDWsFqvoIhrQiMCxVsXBimFCbSCoa0gtV8BUNaQUhN vV5BSLVexxSVTH9XMv0tvfn1PlieYi5E0Ib+li7+l59yzMNrvvcLHs3X38jbLEUllcLPNyr8VXaV hFvvtsUYmqvsKqkwJ2w74drHeg/yaHqV3aOiUzyA+/y6c8Ra+nSrb/wcZ/w+E2ab14t9EPBzDf3X +xMlzgyqLLRqC22mhTbLQqux0GottDoLrd5Ca7DQGi20uRYa+rAl0lottDYLrd1Cm2ehzbfQFlho HRZap4W20EJbZKEtttC6EmjYNrHO/bE0zkaYOOu98YBFEQ9YFHHW7uNMG8ZZ742z3hsP6O14QG9X CXMsrGJIqxjSqsBYWBUYC6sY0iqmZ6oY0iqGtCqgZ6oCeqZamHqmmumZasKm9/+LU1VAR44jaEPP VBPga9XSZBbNXLdbbVm3W00I9X6CLKmpUaoJ9uHrf9s5pe8pHs1cyT5TmKPlTDYOzWRSnxkYLWcG RsuZTOozmR03k9lKM5kdN9Nqx8kdG3StzWLYZjFsswJj5KzAGGnbvyHL423fv0FySrTjZgXsuBrW ImpYi5C7NujdHr2KmImgjRYht3P4y/av/tPlf3qARzNHHtseD36+5shTY+C+mTM020mNUZhhHs1s J7WsndQyK8C2/4Jp/9UG7D/b/guZHu8o423WRW1gZlIbmJnUsVaTbDcGTFsXsFfqAvaKbW+GLI93 lPE2kdYFbOq6gE1dz1pNPWs1cm8Gvf+nVy21CNpoNXLDhkf2Nvzjg195kkcz9Ui9RY/IHRr0fqIs qdk+5NYNF1Q/ecX/3vlrHs1sHw1snNH7Jkib07ZvgjkfbAjMB237JmR7vKOMtyn1hoDV3cCs7kY2 xjQylLYdFMyZYWNgZmjbQSHH4x1lvE2UjQGruzFgdc9lbWMuaxtyBwW976tXJQ0I2mgbcwlwqP/Q cX+JJEQz28ZcS9uQuyrofWRZUrNtzCXYs47B4/c8mm4b+BhZ7iWApZL7COh7zHIfgTwqYwGchQ0c edSaMJb0+M8X2scfOej7MJKCXPQtF+TUmoST9M/XNSz9882dcaWPvjb+kVNbEk7Sm17Xp/Sm1za+ pCAnbc4jp/YknKTv+xTFaR5xMncPlt7w13oewwXK6T3IaT5xmqo4zSdO5q7D84mTNgiQ0/wknBYQ pwLFaQFxMncrXkCc9FCFnBYk4SS93wsVJ+n9bu5yLD3g9eCDnDqScJL+6kVC+467hnaUlJChCJFT ZxJO0q+8WGhPcuRk7qosfcu1wkNOC5Nwkr7fJUJ7e7tGr5SUkNEBkdOiJJykp3ap4iQfA5u7OEvf bd3RkNNiCyfszV1KU8iP9qRGfx3tiSV9n8u9M9RTFd4Z6qlK7wy1AHpioTfxsbnoTXw9+e/g3PKQ kL+lR8+xMAO1feS+YJHAXKXHQltioS210JZZaGsstF4Lba2Fts5CWw+KLJF2fAJNemVL77LDyqM7 PaH/Sq9tsx9Kz+1rjb0LpPe23zNRYlmsbqUnsMxJKE/g9IReKb2Izd4lPYl1P5WUTNbfYsqjmOe0 ROUUpZykF7DZ16QnsNlnpDew7n2Sksl6UUx5BPOclqqcpD/bUsrJ7EFLKSezJyylnHSfkpRM1jdi yonX/2BbXkY5aZ+2ZZSTqfuXUU6mDl9GOenRQFIwJ1+rY0vkOWHPlL6N5idb+TXmCNMfEp9zxL0z jFelRsJeCwfpyZhjtLVe4mC2tV6Kq9saclqbhNNaxUn7L+YmtKW1FFe3JeS0LgmndYpTVHkk5ia0 lXUUV7cVTLFepZB1vp5SmHW+nlLoOkfpHE8pdN0dTynMupOv+dB19yjIeE9YiHvEWd5nidJGLZ6f 4Y0OrhKRfoa0/C8s/QyvcsbhZxhO4meIDCfRz9ARB8VK2vHjstDpKf0MwxXj9zOUq0ymGKtMwmr9 t7/KJM/yfpsI81lKZ95NUXYtI+nbbo6mB5Mr5BsTLK+TQZMyh9Znhpwe6HxrEl8d06rKm/DqmBYy YEMT9lhKAamNIGEJw547UAKoNjJZxwFqbD5KKUC1G6C0C1ACqHayfscBamx+SSlAzSNQ2DPSDcep DaI5Edo8MqfHAS21R9IYoM03oPkuU4NBaPPJPh8HNPlGwSOAtsAqtUHIMAHaAjL4xwEtjXTgEUDr SCK1ALQOmkGMA1qEFtAcAbTOJFJrTYTWSVOScUBLp9U4RwBtYRKpBaAtpDnOOKDJ15ceAbRFSaTW lghtEU2axgEtg9YJHQG0xUmkFoC2mGZh44AmFx2N34vkSRjDHp6Ap0dkDF4kE+WdPiZ3xm9kJXdn /ED2W9Wd8Zg06c54a3h0d0Y0lbQ7Y0aCkxtuM1fhoJcVekztFX3kaRUHY/Y8MJK2keubpGwhz6ut YBhqL6yj4fqYiO+N6fr4lRwhroOCHwJmu6JBHxt9XR+j9ZbJcn3EMRJdH68Zg+tjheO7PkaTuj72 Wl0fd5Kf3jaijM/1UeaPt8btro/PivMDEx13kic6UdHkVNOGKgdDC60THVdNdOL1b2+oEjze3lDl 7ePNfkx0Q5VMdsshi51lsxsXOUlvR7x4xf1H7XZEirfbdtFWIGPeUEWIbrqBmZ5onHbTXc7I0XgB bxdtBjLmDVUklsB2IKkgju1mRUqIGWPfUEUiySCrZowAx3bjIiXAzLFvqCKR4KRizAAnuqHKRGcJ OUdxBpKdcgZynZqB/CzFhipfeMtuqPIBtaHKHGd8G6pkHeGGKheoWcWPxzCr6EuSp+wdwVnFwOs8 r7hLbZmy37VvqXJXii1Vjua8okTNK84Zw7wiZswrMsc5r9gtzoQPtoIdtLVKXNXKefB7UNWOfV4h fZf9LVVGf7Gz2vjRPw2Zp45Oa33ts6PT6tOQeerqtNaXQrs6rT4NmaepXhmdRY6G7DTkn07khdLy kpv8Ush2aXyvoZZyNh9ES1HrB9FIkdJO/apqKXPzMbMUu37MjBQp+dSvs5byNx8iyyrQD5GRMpZX Xsu6MB8Ry+rQj4iRMtprsSUF+ZgPgKXY9QPg1HPj0CTPjcNifahDXAOj7gNgcz0kgnPjkJob3zGB uXHwIeAd/6+9a+ltpAjC3WM7fsXj9yPrxN74vbG9hnDjAEFCCC1k4QA3RBTYPSCBkFi4LuLCHc4c WIkDPwEhckJohcSF016Q2F8A/IEFurrdM/3NVBwTgpZDbDnjfOOqqe6u6anpnv5qajSEUffHzCRg A+LsJvzXOjXO/u7zzx5HnE1z7nbg6jnVdX2ourX3luRFb0fDr0M90exHw69DPRtd+C9ibHoIoFCi x20K8vXl6MRcxYl31Psd9aHRhFucmTT7vbaZq+NsihIpyo9Hib+cM5JrrBElnld3c2WUSLTNdG38 WjnQ7z5qe0nhry33/eZfRJQoJaPAidsSa8cojzueDK110dPOO7cdJ2khPi0IMVX/fiNWR56UOoke QqN2bP2LyJNa8XvlK7+uccxXVxwzHM8+XDGefZ748emSr1lhOtTLqf0NHVH+6dHx1H2K2r4laT6q AhGlut9U99rhEc46Xy6KDcrEayS/PgUeXevoY9hWiKT/wDkysK28rJ/9kfqhi2Lxf822UiwuxyPD S+CtCNvKE0GVWbaVFMO2EsU8BkswWJLBUgy2wWBpBsswWJbBcgyWZ7BNBiswmM9gRQYrMViZwSoM VmWwGoPVGazBYE0GazHYFoNdYbA2g20z2A6DdRisG8EeCdPlhFlJhHDXS9EpHWaVMVwvNquM4Xpx sxpJ0GT5Xsw6FxloOtEBI8eC4oH8aQwvJzpA5PJiJ0Decrr8seR7cXOVJYSbQy0RK4nhc7G5VZKg iedzwXzhKZBPQUlSIJ9iS7IB8hyDi62JDbYm0yCfhjblOFvc/D6Gs8VmwSIJw9lic7tkwJoMWJNh rcmCfBasyYI1hqXFzXZlWFpstqtHwrK0WG2nsbSQNTnWmjzI56Ft8+Dv+UCeLMk7XvKzw8tiM+hs giWbUC+brCUFkD+bicXNFWWYWGyuKJLwQZsP5fKhXH7gs6TJsLC4ueqKoKkI7V2EGi6y5SoJN5dP CeRLIF9i5csgX4aSlEG+zMpXQL4C9VqBeq3EvL8i3OxWJFEFbVVo5Sq0chXOZdsX1ISbQbEG8rWg NHTsmohm/qsJN/MfSdRBWx3KVoe6qbN10wD5BtRtyMBi9rn5HBsxL2mCpia0chPqpclaYlhMbB6k Fsi3QL7Fym+B/BaUhOMWcfM+Gm4Rm/cx5P+w2jj+Dxnsc6+CV5w15Ka3bIOmNrR3G1qozV47DHOG zTa1DeXimDNcf9mO+csOaNsBa3aglnfYK1EH5DvQSh0oTYdtpS7Id6Feu+D9XS3vZoPrwrn4QDwv Zqrzfte7oW4UDoT5S2wW5nNDbznU4jf1d8tpEY2Ndhmsx2B9Bhsw2JDBRgw2ZrAJg11jsD0GmzLY jMHmDHadwRYiHjNeFRfFDxFyOFhtu+CjHIeDuwp4N8bs1wNtPfDYHnicYV1w14X3Ysx+fdDWB//t g//3Wf8fCHft8ADkB2DNQESZEgYxZr8haBtC2YagzfAuuCvJhzFmvxFoG0G9c0wJ7rrmUYzZbwza xuATY9BmuA1cJo5xjNlvIlzmgAlom0BJJyLK7DeJMfvxPAQlh4fAajM8BO5a8GvA7LcHms7mCXAZ DfZizH5T0DYF75iCtmnMO6YxZr+ZcDkMZqBtBtpmIsp8MYsx+81B2xxKyq3NdxkR5jFmv+ugjVtD b1vArKHHde5RZr8FaFuAdyxA28LpfwwzywKY/R6os8zfoGnv1exIZpCKavhAhC8YpBrqYEiqE019 S+Mg1WV/c9nfXPY3l/3NP+xvRKS/ObufodcX3n1RTr7yDA0uX33xzeSXXx0lU/Ku+MGs05QFvfWk 1HeT+7lPxH0dob8wP7x9fOejD25LYgHO6YcF6Z3SY0KUa0kut+XlNgn4WNLjZELdCeCvMnosQXo0 90DfssvZSyEayfflj95Pf32r8ZrXkT0ZtZH2VNWeIy/8jcH6y2+EHQfYcYDdC7B7AfYwwB4GWNez WDc4xlGAHXmmFGbUez83ks/qWbsn30gHyF2N7DvIiUaeCpC/AXDDwjYAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgQEAAIIBAACDAQAAhAEAAIUBAACGAQAAhwEAAIgBAAD+ ////igEAAIsBAACMAQAAjQEAAI4BAACPAQAAkAEAAJEBAACSAQAAkwEAAJQBAAD+////lgEAAJcB AACYAQAAmQEAAJoBAACbAQAAnAEAAJ0BAACeAQAAnwEAAKABAAChAQAAogEAAKMBAACkAQAApQEA AKYBAACnAQAAqAEAAKkBAACqAQAAqwEAAKwBAACtAQAArgEAAK8BAACwAQAAsQEAALIBAACzAQAA tAEAALUBAAC2AQAAtwEAALgBAAC5AQAAugEAALsBAAC8AQAAvQEAAL4BAAC/AQAAwAEAAMEBAADC AQAAwwEAAMQBAADFAQAAxgEAAMcBAADIAQAAyQEAAMoBAADLAQAAzAEAAM0BAAD+//////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// ///////////////////////////////CP8caV4au2Ofm9T/PAp4BbbTaaYXAdwx00OqkdYZWF61u eyZqf1s4nRDmNf7XEPT0VdjUXmPv99HXVPrORi6fWy64E+ubi4V0LuuOxUd0KV2frcl0eXlMfAyH l1+t+/PPfrmUHZi+0nHYvZsU1zwV86HkPapk9UCwZq/e5UoPaVU+y13MEiHJgJbERb+WjEphtTuk d65TlgMLoRhRF4LdGLCdF+HciXpNyyV3WwHTN6zTianFwspccY1G3a7grvouTYcxBrXHYWGs98gD VVRMnSXquePJokFP9q3dsxBpsCCsBchb1gJkX4gz/iG3K0b3iZ5YjkRkLp1J5d3p1H03mcssZoGS sSJ1ZJfCK4HeNtZN1vinivkZyy/IhL71hI6jwQN5RmS2mFnKrUIau0pH+aVmf17ta/uLNX5TGd7Y c6tH25PWnrLny1KJ+vO/44HPeD4EWXXY8ledrw7zQ7V8L+pqGEfjjeLYG/0z0nkltKdRy2fF+4Dh w7ZiwrD9CdhsInoqA290HQopB2eL+UIqAzRmo+AXE1jHJt1XAWl6D2bpf8C05e75eiu7dKn188SP T85my3eEx6NZ/yeN0+z/PLgxdg9ue4LSJF48nNQk9ZISYRF7lIDqFugQcmdPIYqwLI1DdXEJPh6l b0PyHunOsMHS0O99WYoNepvJE8u5hZPBL525bqIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAeJztVs9PU0EQnp19LfSBUioqIR5eOBg4 SBBOmmBALQmJIAEOJkhs0RJKaAtt0fRmCsFLD8bEowf/BD154NAY48GDevRiAsY/wIMnja0zu9tH rQRfib9I+r3sezu7s/vN7s7Mvrdv2rcfP+nagRpcAAmlcgD8VW3CFIUgABq5VC6XK83lBg4VvlHx mTO06Os39dI/tquBv4MpSNGTBQfCkKRvGnK1qWBfnACfG/OcD/A1qvai7h6t1i0+3Lo4euO5kFQf tio55SosQ6wuzmrYgKJ6PV7HdUCF/xKtPwErZMc8LNXNHyJ+zoG8Jq/8rL9g6mjWP0k7H4MM9KvH OzrN+q06+NnWl/qYVKwj7MY/5wLOAU1UmqkEgPcYoIVKK5UjVI4a/aD5NnB4IfQ1fmAI8gBpa9+r jf2T9BqP30ynMqmFrBNeXYtm46mkM9jXr1zp8rTbptyrIvQNwudzT1e98TMv+7MFOq6UHaZvgOwq UEcBuY88WY4K9v7jqpc9PaBUeSxHMbcIpAlUS5/oVC1nURjtFqyMa0XHGg6EqHba3wZdJvI4HopU e8YS0b2TOm5YpxXGo9nFmdwKpbptFVVfUI9gdCvGM0LP3oGAr3xcO0a1bDPb+xXvlrTuffULZiEE Z+KJWMaZiN1xplKJaBJgQ88iVOQO2BHcbGblOSMX5Icmlntd+YGf5R5X/7yP5VmoZRS/YERl/yeX uSBvKaYlV/6oZk4bOSnsH/oj+EKyHHbla8otRya1JU7ZqyXCWIJmpiK+tzRT8OddpN2F4HQuMZ9a Btx7JREsqPMfUlmQT9IGEzcAZs6gypYAW8o/BGL3dC6TjSUAam2S+/ryQXBKLePRzhUjb22MwfV7 Y6ouhZDCFqH1EQitTwJuDtE3DLJNQAu10mXXTju+CmsQpZs/Tvdgkv4DJox029Ot7BB7dT7xYnMb lcUDrXZv1Mv/u3GY+W3Mz4KkG107BL3TgPkeYAnzvaSB+bk/YHMD/we+A9nfa0YAAAAAAAAAAAAA ZgAAeJztGwtsHMX1zd7e3d7ZF68/cZwEOxc7IYnJx3Y+hHzwBbABhSQmMQWRBOM4F3BIbGM7UYAW LnykqiIqLRItBamAVNOqEp9StVWVCruUUqkgaAVNPxIyVVUqlYoD0RZoEve9N7N7u7d3V9t1QoJ3 Tm939r2ZN29m3rz3ZvfmjddLR598fs47kJUuhQCcHotAyIETzgImQIXCnR4bG7PoY346r9J26MXf IMShBXrw3g93ZKtCwVQJQXvOaf4xADgAMwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAACAP///////////////wAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAJUBAAA9DgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//////////////// AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAD///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAP///////////////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAOcbGuOHJbnVWbbvN9duvu+9l0QN5lOmxF2PrffDbbCH5bhtQm1T KgNNBPEeULo3njoXktyzZF7A5djuQeiDbSjD/sm079L58dQpQtij8kHYAYew/YPQyWN/Nc7CPh4T wgxCN+Z7CvBajP2nNarD+PsfRviVys9EODWF+nRawTwobAsqkR5HmI9Qi1CHsABhIUh7soj7BrAE oR7hIoSlCMsQliOsQGhAaFTl/TS5dDbXf+pbv2+h9U/691mufwNhhr/+OVly0xiSHbDWLw0P8Y0g RJXMxQgxhBkIJcAhAJTyGACUg3cdViFuNsIchLkIFyBU5yjnp88uxdR8BJQOBdW8E85wzD89F6t7 vvmneJD8Cdl20p9880/+n/xDHHLbf/LPE7H/TQgrEVYhrEZYg3AxwlqESxDWIaxH2ICwESi2BWhG SCBsmub6GIQr0MJ0sQ1KsgeYmD1aOwn7Rx5iqdpMCLS7B7DlyaYo2j9ql3iOt31qusKWRbbfhj1M wgDqVAPr1XhT1ST6T2l7bAKN/I80mfatRGv+KpA+sR3kWr4ZpK0/AtLe3w9yfT8Ecu7+oss1TDZj /35vnuzClu6u/t6B3n2D8ZYjXckDvNZSze+a96L/5/wvn+ZYIGBLQpZHaNQFykU0S7plQlP3AN8X CWmtavhJ4OoNROUYZMcelV454pff2tk/yBbusu59+9ayL2PKcqYsXwsfXfKD250jRN6yUt8ldjJz smH/0dJqnB8SBktbpFk9KNauwZKZHmR6RdLqIsZ3DfuU6YO7R5mnfCNSuISUd7O4kZ9oXj9leXiM 1EjKUic1OW6W7bf275rq+Vo0lGvQOJsxoqEnCHw5RB6h1tacgBBSJbJSjWpHV/ewuhseiU/jSAaF lwXJor312luPL59rPvwNAy5a+skztC5PgvRJRG8D6YduAOlv9oKMUw6A1MFBkHr7RZA+ifSY9PlB kPo9DG59liapkWfmLjPKvEDxzHWvMeUo0FjuuDWZHGzMZJsy2ZWcZfVqhGJVp0bxub63/7YBKjXA zQYUya4h0VKyXTn0qtD4jT7w7Q8/2Xar+f2v4fgteuEPNH7fVMyJniBuBgoUCsLxea+FR1KYRVbv 4Kg8p4/w2PyZ2sXoWKPlHT976TKWoZN7NozCbkTd0VFqWjeP43UGvE26fY2GMyuis1nWMr6W8/VZ rnmcrxuRcgQ15dO6r1ZeokbnBi3B5Y7xtZavM/Aq4Mdc54+MacTYhSLlsXseUv4qKDahp+hGX3jg DFPTnwG1Rr8ANQvXUu2C2rqldXUNHUvW71psPexaUqPPR9t5gYu+c3ty7253oVpUsepMoeUNbj74 TKUW4QTWZpfK4qaKXowxIEZ5HYSvj1stq8ddi1XDFqJ2WS1TEx1YdTmGkEuoqrOeu1JWjWYMNNe5 G5Oyudtj0RxNNjdnWKzBeLXR0ahV31M5q+aoikv+ORZ3rOXhOOGFhf9ofHhtgniYhnjBexA3XuDc cfmPs/FL8uCX5sHX58FHPPiHNR3MVGCM7qWpEN/LUjrfy1NhvkMK+F6RCo7dzDbqAbRYxWTMtZBy L4R5lVwbrlLpkQizeKYD00SYuZUOzMoH2bIKeIb9tdBn4cIUPDoCRtDujuBD+zEBf4cbyd+mt7PU oTTt75DMGqUBqDoyvxKK0hRLvoi8DDiKNgaMYYr8jATUfEDeGT2xgaIaaG2Mf6PDPon2h6IVgyWD bXv2J7sGMbJr7z6YjLf2dx5MIr9t/bd09nTf2TnY3duz4sr+3kN92P8dh7gsMm05nOwZXNFypC/Z 353s6Uqil2w70NmVRH5tyf6B3h5kvgWLYO2BMdw7GPBISMYCtMeVvjDu8oXWnvY+7tX9fH1SRUCC fzp0JHDjwGm02b4nV7KvuhnjiNfL9s8gWx92PAlsW/orYfL4maath3+75yXxRvPHsBJRT6i52Wsa 9gg3mRxDMj1s8nTzWzgDtkAU+VjbAKq3FXGrsFwAywXwOYw/4kJ1rzVLVPQWJoNHxWMmddgQW9Rm UG73BrBoOcgoo4i20hpriGC05kZTuhaFDSj3EsK8tS2hRju4uyRSi527AjtEE7AAMRosNOPIVFZ/ G/vyc8e25nnszmhIctpmkjHzhj4XIpcwy2B9saI2iHdgSngbHt6tJgUOm0xS+ATOzZfw/hx26K/F bm5XgKTNxnF/Gnce1VwjO1GNuGko9RKwR5Wylhel9zH4rCEFEzkYYD+3KMmoBW8RamGeWZ+ras40 TxRqrY5bm89jYKkjbSQiSvVWI0iVDdgqm0qlVLlZLpWlZKlshVkBuRLxmGXSFu4RbLHWjNqUEq5H UGieP0D+fesKz7NzhhdhWzJrcQdtBj+H+Uq0JGuurs1U9bGGfJ+chC5cRrpWrVhEQbTjqqKXLXFo xcCrk/O6tkxJUUY1++EWJPRgwTsdb11WwJVI6YVDGI/r2iwIKCEEvbJxNraEtxi0CRItcFgt5RXQ glFwHz5RtEe4Lm64HOTuMAiiDU1wp0LPVJ9+Q4SmOgMsQ5KnOaAGwErrEoRxakeCMc6BbWVMwFFk O2N0R5ndjAk6MDcxxvkVuiOR5KV8qRaFkE3I2G/TZb9jHNMX43UvqgflS1kqE5fxye998Nste9qa Oxhfz/iL+HovY1LKnFFaqPEbdjiKlBE9v1cYs71CJjm8AlwnjaQarQjjqbahmcp3Kj0VJYzTcuAC OXB6DlwwBy6UAxfOgTOycEKTi6AETpEO46+E69GTBnIfDnC3FuWRo6d1CaIFmCYULaBoCabpTNMU TVe0VqYFmRZQtKCkocYQLcQ0XdFCqt5upoWZFlS0sKLdxDSDaSFFMxStI3ECvfwXBb0XqMK9Teb3 Hu7QUL70sNSXtKHmCsMkki39XSlHmt5TY1SXznjwTNIgyvVI3KAq34f3rxdLPPEi5X0Y4yV6b30P 6EIXVtS0FRXjPnTGYLwoTJRhmPO/FvymRlCs1KxJmcy05STi6JBLkOVwoJLf4JXSdg92475vJhoX GsnSOGHis9vt5TmxyKfMoePx2RndlvcS8EY+QVfkE8ob+UDiF4J2pH7kw17r5UlEJ8FxRj6T4R0q GPk8i3AYYRv6hkjMze1yRaPI5wU/8uF0diKfl89K5JM7LADIDgskRvNgAh6M7sEEPZiQCyPDAhqT f8hPj7zNtFonQ0twqVYGP2JMwlG3mgy6yW+HBZCljcXeZ/b0HfEcjC1iMfX9yGl3M7GF6rK6F+iy u+A53WU7ncEuy68UQXUPjeP7ivurjuDvDk1RepdBfOVLjGKM8wII9Aa7kum/w60gtZd5txFBWgzo StFOhPO1XPY59JZkBr2vPoq5pOQb5rq6epIUA6GMeXwFnRp/j5BvStBnGUom//u///3f//7vf/8/ 29//oTS42f/+f058/7fHWSguFj+Rw8NpXHOufpX4AnINKv5ufVqmSmXzzzV/1KolU6bNjBzu3kiu wtWW/I9BWvFxSkpzuyAQhCH0Vus1gioxBAQleeQW49C4zL8aRAGJq0QztvgU4yswN5pXEySXcpRt 1C49R1g4mSNcu41rt3HHbNwxG/eKjXvFxgnNwslcBY+GhVuvTabXGa3zzpM1ujRTtOFxxlVpxYFk GMozFm7prNyQTR2a0DwFC0jcKq5jPZ4qflViw5TKVyU2ajHk5xzRbH1NIwdrvT36aGa9BRU3wuVf G6dwW0gQw/ElOOWgncCNL8G7mH+XnzO052GhIBjB/Ag/Z2gPwh2C4DHMP8bPGdo++JcgOIz5w/yc oSVwFAjaMN/GzxnaHIhpBPWYr+fn8YxxMK/W0qhMfM7Gwy97FVjJ2lW4VwHpdT6LsF7L9jcWr039 3Z0HIH9ySlmhVdtrx1pFhBv1WJ5q4bU81cJreaqF1/JUC6/lqRZey1Mtste2tATZ8lWJJz24D8HC fQgW7lUb96qNG7JxQzbuqI07auN22ridNm61jVtt40psXC49kXNkqpcix3nGhabV7rhjYDB5EODj 98rhJ6tnWi8wUpTPzFG4oFfMvxf16lsu/Z1K/u4oxKmvtEtsil4onmL71BCO8J6RMCc4YmxqoH2q hStll7nKhdvMuDUu3P2MW8u4YoX7KUeMjQ0NvPPN4D+S+KZs/HKN8ass/NSOEY3FmZyD3PzP5/cN VHoel0ninaTP/s9GEfM2mLvMR9g/R/ibSITfPDRFm+F2HiP+e0dXkeIdUeMxG27h8ZB/+ihiDobi en7Pv+XnwWFBDDsKcLaeVp7G2/rk9hXOErnS1k1br85D8tM5m2jf7P//e/r+/9vf/zt5+ft/f//v 7//9/b+///f3/1O3/09Nt/3/Xn//fyb5+/t/f/8PDgvi7//9NNk0Xc7/Do3FT9+96O6qDdxr//yv f/7XP//rxsM0xIvP4fnfNz3nfxs853/r/PO//+/53yd+mCz01+SqHKdgJnv+twilm6anYP6EfTnu +FvjVJ7/nSzvwud/+3V5xvcu7NDPCpz/HfJPwXA686dgsufZP//7OTz/a9nJ8+Pgin8O2D8H7J8D 9s8B++eA/QjIPwfswPjngP1zwOfAOWCZNmgvwD7xnWJ0uWCk3tSNN064tfFzkP4LcNICkAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAA ------=_NextPart_01C40A00.C26F0530 Content-Location: file:///C:/B348D638/796s0408_files/filelist.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C40A00.C26F0530--