MIME-Version: 1.0
Content-Type: multipart/related; boundary="----=_NextPart_01C92D56.42AE5B10"

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_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest.htm
Content-Transfer-Encoding: quoted-printable
Content-Type: text/html; charset="us-ascii"

<html xmlns:v=3D"urn:schemas-microsoft-com:vml"
xmlns:o=3D"urn:schemas-microsoft-com:office:office"
xmlns:w=3D"urn:schemas-microsoft-com:office:word"
xmlns=3D"http://www.w3.org/TR/REC-html40">

<head>
<meta http-equiv=3DContent-Type content=3D"text/html; charset=3Dus-ascii">
<meta name=3DProgId content=3DWord.Document>
<meta name=3DGenerator content=3D"Microsoft Word 11">
<meta name=3DOriginator content=3D"Microsoft Word 11">
<link rel=3DFile-List href=3D"CharacterStudyWebquest_files/filelist.xml">
<link rel=3DEdit-Time-Data href=3D"CharacterStudyWebquest_files/editdata.ms=
o">
<!--[if !mso]>
<style>
v\:* {behavior:url(#default#VML);}
o\:* {behavior:url(#default#VML);}
w\:* {behavior:url(#default#VML);}
.shape {behavior:url(#default#VML);}
</style>
<![endif]-->
<title>Character Study Webquest</title>
<!--[if gte mso 9]><xml>
 <o:DocumentProperties>
  <o:Author>kejohnson</o:Author>
  <o:Template>Normal</o:Template>
  <o:LastAuthor>kejohnson</o:LastAuthor>
  <o:Revision>24</o:Revision>
  <o:TotalTime>409</o:TotalTime>
  <o:Created>2007-10-14T20:00:00Z</o:Created>
  <o:LastSaved>2008-10-13T21:08:00Z</o:LastSaved>
  <o:Pages>9</o:Pages>
  <o:Words>2646</o:Words>
  <o:Characters>15083</o:Characters>
  <o:Company>DSD2</o:Company>
  <o:Lines>125</o:Lines>
  <o:Paragraphs>35</o:Paragraphs>
  <o:CharactersWithSpaces>17694</o:CharactersWithSpaces>
  <o:Version>11.9999</o:Version>
 </o:DocumentProperties>
</xml><![endif]--><!--[if gte mso 9]><xml>
 <w:WordDocument>
  <w:SpellingState>Clean</w:SpellingState>
  <w:GrammarState>Clean</w:GrammarState>
  <w:PunctuationKerning/>
  <w:ValidateAgainstSchemas/>
  <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid>
  <w:IgnoreMixedContent>false</w:IgnoreMixedContent>
  <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText>
  <w:Compatibility>
   <w:BreakWrappedTables/>
   <w:SnapToGridInCell/>
   <w:WrapTextWithPunct/>
   <w:UseAsianBreakRules/>
   <w:DontGrowAutofit/>
  </w:Compatibility>
  <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel>
 </w:WordDocument>
</xml><![endif]--><!--[if gte mso 9]><xml>
 <w:LatentStyles DefLockedState=3D"false" LatentStyleCount=3D"156">
 </w:LatentStyles>
</xml><![endif]-->
<style>
<!--
 /* Font Definitions */
 @font-face
	{font-family:"Trebuchet MS";
	panose-1:2 11 6 3 2 2 2 2 2 4;
	mso-font-charset:0;
	mso-generic-font-family:swiss;
	mso-font-pitch:variable;
	mso-font-signature:647 0 0 0 159 0;}
 /* Style Definitions */
 p.MsoNormal, li.MsoNormal, div.MsoNormal
	{mso-style-parent:"";
	margin:0in;
	margin-bottom:.0001pt;
	mso-pagination:widow-orphan;
	font-size:12.0pt;
	font-family:"Times New Roman";
	mso-fareast-font-family:"Times New Roman";}
a:link, span.MsoHyperlink
	{color:blue;
	text-decoration:underline;
	text-underline:single;}
a:visited, span.MsoHyperlinkFollowed
	{color:purple;
	text-decoration:underline;
	text-underline:single;}
p
	{mso-margin-top-alt:auto;
	margin-right:0in;
	mso-margin-bottom-alt:auto;
	margin-left:0in;
	mso-pagination:widow-orphan;
	font-size:12.0pt;
	font-family:"Trebuchet MS";
	mso-fareast-font-family:"Times New Roman";
	mso-bidi-font-family:"Times New Roman";}
span.SpellE
	{mso-style-name:"";
	mso-spl-e:yes;}
span.GramE
	{mso-style-name:"";
	mso-gram-e:yes;}
@page Section1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;
	mso-header-margin:.5in;
	mso-footer-margin:.5in;
	mso-paper-source:0;}
div.Section1
	{page:Section1;}
 /* List Definitions */
 @list l0
	{mso-list-id:384379066;
	mso-list-type:hybrid;
	mso-list-template-ids:1854317208 1301676172 67698713 67698715 67698703 676=
98713 67698715 67698703 67698713 67698715;}
@list l0:level1
	{mso-level-start-at:9;
	mso-level-tab-stop:1.25in;
	mso-level-number-position:left;
	margin-left:1.25in;
	text-indent:-.25in;}
@list l0:level2
	{mso-level-tab-stop:1.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level3
	{mso-level-tab-stop:1.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level4
	{mso-level-tab-stop:2.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level5
	{mso-level-tab-stop:2.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level6
	{mso-level-tab-stop:3.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level7
	{mso-level-tab-stop:3.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level8
	{mso-level-tab-stop:4.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level9
	{mso-level-tab-stop:4.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l1
	{mso-list-id:466628917;
	mso-list-type:hybrid;
	mso-list-template-ids:1608557096 -347697556 67698713 67698715 67698703 676=
98713 67698715 67698703 67698713 67698715;}
@list l1:level1
	{mso-level-tab-stop:1.25in;
	mso-level-number-position:left;
	margin-left:1.25in;
	text-indent:-.25in;}
@list l1:level2
	{mso-level-tab-stop:1.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l1:level3
	{mso-level-tab-stop:1.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l1:level4
	{mso-level-tab-stop:2.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l1:level5
	{mso-level-tab-stop:2.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l1:level6
	{mso-level-tab-stop:3.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l1:level7
	{mso-level-tab-stop:3.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l1:level8
	{mso-level-tab-stop:4.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l1:level9
	{mso-level-tab-stop:4.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l2
	{mso-list-id:796529226;
	mso-list-type:hybrid;
	mso-list-template-ids:95598346 1802133928 67698713 67698715 67698703 67698=
713 67698715 67698703 67698713 67698715;}
@list l2:level1
	{mso-level-tab-stop:1.25in;
	mso-level-number-position:left;
	margin-left:1.25in;
	text-indent:-.25in;}
@list l2:level2
	{mso-level-tab-stop:1.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l2:level3
	{mso-level-tab-stop:1.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l2:level4
	{mso-level-tab-stop:2.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l2:level5
	{mso-level-tab-stop:2.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l2:level6
	{mso-level-tab-stop:3.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l2:level7
	{mso-level-tab-stop:3.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l2:level8
	{mso-level-tab-stop:4.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l2:level9
	{mso-level-tab-stop:4.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l3
	{mso-list-id:1169756206;
	mso-list-type:hybrid;
	mso-list-template-ids:-563317678 67698703 67698713 67698715 67698703 67698=
713 67698715 67698703 67698713 67698715;}
@list l3:level1
	{mso-level-tab-stop:.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l3:level2
	{mso-level-tab-stop:1.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l3:level3
	{mso-level-tab-stop:1.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l3:level4
	{mso-level-tab-stop:2.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l3:level5
	{mso-level-tab-stop:2.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l3:level6
	{mso-level-tab-stop:3.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l3:level7
	{mso-level-tab-stop:3.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l3:level8
	{mso-level-tab-stop:4.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l3:level9
	{mso-level-tab-stop:4.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l4
	{mso-list-id:2122071602;
	mso-list-type:hybrid;
	mso-list-template-ids:-1139928242 -796507326 67698713 67698715 67698703 67=
698713 67698715 67698703 67698713 67698715;}
@list l4:level1
	{mso-level-number-format:roman-upper;
	mso-level-tab-stop:.75in;
	mso-level-number-position:left;
	margin-left:.75in;
	text-indent:-.5in;}
@list l4:level2
	{mso-level-tab-stop:1.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l4:level3
	{mso-level-tab-stop:1.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l4:level4
	{mso-level-tab-stop:2.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l4:level5
	{mso-level-tab-stop:2.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l4:level6
	{mso-level-tab-stop:3.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l4:level7
	{mso-level-tab-stop:3.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l4:level8
	{mso-level-tab-stop:4.0in;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l4:level9
	{mso-level-tab-stop:4.5in;
	mso-level-number-position:left;
	text-indent:-.25in;}
ol
	{margin-bottom:0in;}
ul
	{margin-bottom:0in;}
-->
</style>
<!--[if gte mso 10]>
<style>
 /* Style Definitions */
 table.MsoNormalTable
	{mso-style-name:"Table Normal";
	mso-tstyle-rowband-size:0;
	mso-tstyle-colband-size:0;
	mso-style-noshow:yes;
	mso-style-parent:"";
	mso-padding-alt:0in 5.4pt 0in 5.4pt;
	mso-para-margin:0in;
	mso-para-margin-bottom:.0001pt;
	mso-pagination:widow-orphan;
	font-size:10.0pt;
	font-family:"Times New Roman";
	mso-ansi-language:#0400;
	mso-fareast-language:#0400;
	mso-bidi-language:#0400;}
table.MsoTableGrid
	{mso-style-name:"Table Grid";
	mso-tstyle-rowband-size:0;
	mso-tstyle-colband-size:0;
	border:solid windowtext 1.0pt;
	mso-border-alt:solid windowtext .5pt;
	mso-padding-alt:0in 5.4pt 0in 5.4pt;
	mso-border-insideh:.5pt solid windowtext;
	mso-border-insidev:.5pt solid windowtext;
	mso-para-margin:0in;
	mso-para-margin-bottom:.0001pt;
	mso-pagination:widow-orphan;
	font-size:10.0pt;
	font-family:"Times New Roman";
	mso-ansi-language:#0400;
	mso-fareast-language:#0400;
	mso-bidi-language:#0400;}
</style>
<![endif]--><!--[if gte mso 9]><xml>
 <o:shapedefaults v:ext=3D"edit" spidmax=3D"1041">
  <o:colormenu v:ext=3D"edit" fillcolor=3D"#ff9"/>
 </o:shapedefaults></xml><![endif]--><!--[if gte mso 9]><xml>
 <o:shapelayout v:ext=3D"edit">
  <o:idmap v:ext=3D"edit" data=3D"1"/>
 </o:shapelayout></xml><![endif]-->
</head>

<body bgcolor=3D"#FFFF99" lang=3DEN-US link=3Dblue vlink=3Dpurple style=3D'=
tab-interval:
.5in'>

<div class=3DSection1>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><u><span
style=3D'font-size:48.0pt'>Character Study <o:p></o:p></span></u></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbsp;=
</o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><!--[if gte=
 vml 1]><v:shapetype
 id=3D"_x0000_t75" coordsize=3D"21600,21600" o:spt=3D"75" o:preferrelative=
=3D"t"
 path=3D"m@4@5l@4@11@9@11@9@5xe" filled=3D"f" stroked=3D"f">
 <v:stroke joinstyle=3D"miter"/>
 <v:formulas>
  <v:f eqn=3D"if lineDrawn pixelLineWidth 0"/>
  <v:f eqn=3D"sum @0 1 0"/>
  <v:f eqn=3D"sum 0 0 @1"/>
  <v:f eqn=3D"prod @2 1 2"/>
  <v:f eqn=3D"prod @3 21600 pixelWidth"/>
  <v:f eqn=3D"prod @3 21600 pixelHeight"/>
  <v:f eqn=3D"sum @0 0 1"/>
  <v:f eqn=3D"prod @6 1 2"/>
  <v:f eqn=3D"prod @7 21600 pixelWidth"/>
  <v:f eqn=3D"sum @8 21600 0"/>
  <v:f eqn=3D"prod @7 21600 pixelHeight"/>
  <v:f eqn=3D"sum @10 21600 0"/>
 </v:formulas>
 <v:path o:extrusionok=3D"f" gradientshapeok=3D"t" o:connecttype=3D"rect"/>
 <o:lock v:ext=3D"edit" aspectratio=3D"t"/>
</v:shapetype><v:shape id=3D"_x0000_i1025" type=3D"#_x0000_t75" style=3D'wi=
dth:275.25pt;
 height:266.25pt'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image001.wmz" o:title=3D"=
MCj02159650000[1]"/>
</v:shape><![endif]--><![if !vml]><img width=3D367 height=3D355
src=3D"CharacterStudyWebquest_files/image002.gif" v:shapes=3D"_x0000_i1025"=
><![endif]></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbsp;=
</o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-size:24.0pt'>An informational, independent study by K. Johnso=
n<o:p></o:p></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbsp;=
</o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbsp;=
</o:p></p>

<p class=3DMsoNormal><u><span style=3D'font-size:22.0pt'>Objective: <o:p></=
o:p></span></u></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal>Students will analyze fictional characters, identifyin=
g such
terms as protagonist, antagonist, static, flat, round, and dynamic. </p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><u><span style=3D'font-size:22.0pt'>Contents:<o:p></o:=
p></span></u></p>

<p class=3DMsoNormal><span style=3D'font-size:24.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:24.0pt'><a href=3D"#Introduct=
ion">Introduction</a><span
style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp; </span><a
href=3D"#Task">Task</a><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><a
href=3D"#Process">Process</a><span style=3D'mso-tab-count:1'>&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp; </span><a
href=3D"#Evaluation">Evaluation<span style=3D'mso-tab-count:1'> </span></a>=
<span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><a
href=3D"#Conclusion">Conclusion</a><o:p></o:p></span></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><a name=3DIntroduction></a><u><span style=3D'font-size=
:22.0pt'>Introduction:<o:p></o:p></span></u></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal>What techniques does an author use to create an effect=
ive
character? An author has to create characters often out of thin air, using
nothing but his or her own imagination. So what makes a good, interesting
character? In this independent study, you will examine and analyze a few ch=
aracters.
You will also explore character traits by writing an informative essay. <a
name=3DConclusion></a></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><a name=3DTask></a><u><span style=3D'font-size:20.0pt'=
>Task:<o:p></o:p></span></u></p>

<p class=3DMsoNormal><span style=3D'font-size:11.0pt'><span style=3D'mso-ta=
b-count:
1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n><o:p></o:p></span></p>

<ol style=3D'margin-top:0in' start=3D1 type=3D1>
 <li class=3DMsoNormal style=3D'mso-list:l3 level1 lfo1;tab-stops:list .5in=
'>Your
     first task is to take sufficient notes on character, answering the
     questions as you complete this independent study.</li>
</ol>

<p class=3DMsoNormal style=3D'margin-left:.25in'><o:p>&nbsp;</o:p></p>

<ol style=3D'margin-top:0in' start=3D2 type=3D1>
 <li class=3DMsoNormal style=3D'mso-list:l3 level1 lfo1;tab-stops:list .5in=
'>Your
     second task is to write an essay focusing on character traits. <a
     href=3D"#Evaluation">For details of the essay click here</a>. </li>
</ol>

<p class=3DMsoNormal><span style=3D'font-size:16.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><a name=3DProcess></a><u><span style=3D'font-size:22.0=
pt'>Process:<o:p></o:p></span></u></p>

<p class=3DMsoNormal><u><span style=3D'font-size:22.0pt'><o:p><span
 style=3D'text-decoration:none'>&nbsp;</span></o:p></span></u></p>

<p class=3DMsoNormal style=3D'margin-left:.75in;text-indent:-.5in;mso-list:=
l4 level1 lfo2;
tab-stops:list .75in'><![if !supportLists]><span style=3D'font-size:26.0pt'=
><span
style=3D'mso-list:Ignore'>I.<span style=3D'font:7.0pt "Times New Roman"'>&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span style=3D'font-size:26.0pt'>What is
Character?<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.25in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.25in'>Character=
: <a
href=3D"http://www.enotes.com/literary-terms/character">http://www.enotes.c=
om/literary-terms/character</a>
</p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.25in'><span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Take the
information you just read and define &#8220;Character&#8221; in a single
sentence. Add it to your notes.</p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.25in'><o:p>&nbs=
p;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.25in'>Character=
ization:
<a href=3D"http://www.enotes.com/literary-terms/characterization">http://ww=
w.enotes.com/literary-terms/characterization</a></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.25in'><span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Take the in=
formation
you just read and define &#8220;Characterization&#8221; in a single sentenc=
e.
Add it to your notes. </p>

<p class=3DMsoNormal style=3D'margin-left:.5in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'font-size:26.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal style=3D'margin-left:.75in;text-indent:-.5in;mso-list:=
l4 level1 lfo2;
tab-stops:list .75in'><![if !supportLists]><span style=3D'font-size:26.0pt'=
><span
style=3D'mso-list:Ignore'>II.<span style=3D'font:7.0pt "Times New Roman"'>&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span style=3D'font-size:26.0pt'>Types of
Character.<o:p></o:p></span></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><span
style=3D'font-size:20.0pt'>What is a Protagonist or Antagonist?<o:p></o:p><=
/span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><b
style=3D'mso-bidi-font-weight:normal'>Protagonist:<o:p></o:p></b></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'>Check out =
<a
href=3D"http://www.enotes.com/literary-terms/protagonist">http://www.enotes=
.com/literary-terms/protagonist</a>
for a definition of a protagonist. </p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'>Answer the=
se
questions: </p>

<p class=3DMsoNormal style=3D'margin-left:1.25in;text-indent:-.25in;mso-lis=
t:l1 level1 lfo3;
tab-stops:list 1.25in'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>1.<span
style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n></span><![endif]>Where
does the term &#8220;protagonist&#8221; come?</p>

<p class=3DMsoNormal style=3D'margin-left:1.25in;text-indent:-.25in;mso-lis=
t:l1 level1 lfo3;
tab-stops:list 1.25in'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>2.<span
style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n></span><![endif]>Define
&#8220;protagonist.&#8221;</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Ok, so this website mentio=
ns
Atticus Finch, Hester Prynne, and Hamlet as famous literary protagonists. C=
lick
one and find out a little bit more about him or her (make sure you click on=
 the
in-depth analysis, it will give you more specific information):</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><span lang=3DNO-BOK
style=3D'mso-ansi-language:NO-BOK'><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span
style=3D'font-size:24.0pt'><a
href=3D"http://www.sparknotes.com/lit/mocking/terms/char_2.html"><span
lang=3DNO-BOK style=3D'mso-ansi-language:NO-BOK'>Atticus Finch</span></a></=
span><span
lang=3DNO-BOK style=3D'font-size:24.0pt;mso-ansi-language:NO-BOK'><span
style=3D'mso-tab-count:4'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><a
href=3D"http://www.sparknotes.com/lit/scarlet/terms/char_1.html">Hester Pry=
nne</a><span
style=3D'mso-tab-count:3'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><a
href=3D"http://www.sparknotes.com/shakespeare/hamlet/characters.html">Hamle=
t</a><o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><span lang=3DNO-BOK
style=3D'mso-ansi-language:NO-BOK'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><a
href=3D"http://www.sparknotes.com/lit/mocking/terms/char_2.html"><span
style=3D'color:windowtext;text-decoration:none;text-underline:none'><!--[if=
 gte vml 1]><v:shape
 id=3D"_x0000_i1026" type=3D"#_x0000_t75" style=3D'width:220.5pt;height:147=
.75pt'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image003.jpg" o:title=3D"=
GregoryPeckAtticusFinchToKillaMockingbird"/>
</v:shape><![endif]--><![if !vml]><img border=3D0 width=3D294 height=3D197
src=3D"CharacterStudyWebquest_files/image004.jpg" v:shapes=3D"_x0000_i1026"=
><![endif]></span></a><span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp; </span><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;&nbsp; </span><span
style=3D'mso-spacerun:yes'>&nbsp;</span><a
href=3D"http://www.sparknotes.com/lit/scarlet/terms/char_1.html"><span
style=3D'color:windowtext;text-decoration:none;text-underline:none'><!--[if=
 gte vml 1]><v:shape
 id=3D"_x0000_i1027" type=3D"#_x0000_t75" style=3D'width:96pt;height:163.5p=
t'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image005.png" o:title=3D"=
hester"/>
</v:shape><![endif]--><![if !vml]><img border=3D0 width=3D128 height=3D218
src=3D"CharacterStudyWebquest_files/image006.jpg" v:shapes=3D"_x0000_i1027"=
><![endif]></span></a><span
style=3D'mso-tab-count:3'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp; </span><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;</span><a
href=3D"http://www.sparknotes.com/shakespeare/hamlet/characters.html"><span
style=3D'color:windowtext;text-decoration:none;text-underline:none'><!--[if=
 gte vml 1]><v:shape
 id=3D"_x0000_i1028" type=3D"#_x0000_t75" style=3D'width:116.25pt;height:15=
3pt'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image007.jpg" o:title=3D"=
hamlet"/>
</v:shape><![endif]--><![if !vml]><img border=3D0 width=3D155 height=3D204
src=3D"CharacterStudyWebquest_files/image008.jpg" v:shapes=3D"_x0000_i1028"=
><![endif]></span></a><span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; =
</span></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.25in;text-indent:-.25in;mso-lis=
t:l1 level1 lfo3;
tab-stops:list 1.25in'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>3.<span
style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n></span><![endif]>How
does the character you chose fit the role of the &#8220;protagonist&#8221;?
Give specific details.</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<div style=3D'mso-element:para-border-div;border:solid windowtext 2.25pt;
padding:1.0pt 4.0pt 1.0pt 4.0pt;margin-left:1.0in;margin-right:0in'>

<p class=3DMsoNormal style=3D'border:none;mso-border-alt:solid windowtext 2=
.25pt;
padding:0in;mso-padding-alt:1.0pt 4.0pt 1.0pt 4.0pt'><br>
<b>Optional: Advanced readers may be interested in these readings:<o:p></o:=
p></b></p>

<p class=3DMsoNormal style=3D'border:none;mso-border-alt:solid windowtext 2=
.25pt;
padding:0in;mso-padding-alt:1.0pt 4.0pt 1.0pt 4.0pt'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'border:none;mso-border-alt:solid windowtext 2=
.25pt;
padding:0in;mso-padding-alt:1.0pt 4.0pt 1.0pt 4.0pt'>Think that literary
characters have no relevance to the &#8220;real world?&#8221; Wrong!</p>

<p class=3DMsoNormal style=3D'border:none;mso-border-alt:solid windowtext 2=
.25pt;
padding:0in;mso-padding-alt:1.0pt 4.0pt 1.0pt 4.0pt'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'border:none;mso-border-alt:solid windowtext 2=
.25pt;
padding:0in;mso-padding-alt:1.0pt 4.0pt 1.0pt 4.0pt'>&#8220;Reconstructing
Atticus Finch&#8221; talks about how this character has shaped the
public&#8217;s perception of lawyers: <a
href=3D"http://tarlton.law.utexas.edu/lpop/etext/lubet/lubet.htm">http://ta=
rlton.law.utexas.edu/lpop/etext/lubet/lubet.htm</a>.
<sub><o:p></o:p></sub></p>

<p class=3DMsoNormal style=3D'border:none;mso-border-alt:solid windowtext 2=
.25pt;
padding:0in;mso-padding-alt:1.0pt 4.0pt 1.0pt 4.0pt'><o:p>&nbsp;</o:p></p>

</div>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><b
style=3D'mso-bidi-font-weight:normal'>Antagonist:<o:p></o:p></b></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'>Check out =
<a
href=3D"http://www.enotes.com/literary-terms/antagonist">http://www.enotes.=
com/literary-terms/antagonist</a>
for a definition of an antagonist.<br style=3D'mso-special-character:line-b=
reak'>
<![if !supportLineBreakNewLine]><br style=3D'mso-special-character:line-bre=
ak'>
<![endif]></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'>Answer the=
se
questions:</p>

<p class=3DMsoNormal style=3D'margin-left:1.25in;text-indent:-.25in;mso-lis=
t:l1 level1 lfo3;
tab-stops:list 1.25in'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>4.<span
style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n></span><![endif]>Where
does the term &#8220;antagonist&#8221; come?</p>

<p class=3DMsoNormal style=3D'margin-left:1.25in;text-indent:-.25in;mso-lis=
t:l1 level1 lfo3;
tab-stops:list 1.25in'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>5.<span
style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n></span><![endif]>Define
&#8220;antagonist.&#8221;</p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>The website mentions <span
class=3DSpellE>Iago</span> from Shakespeare&#8217;s play <u>Othello</u> and=
 the
bitter cold of Jack London&#8217;s &#8220;To Build a Fire&#8221; as antagon=
ists.
Consider the fact that antagonists aren&#8217;t always other characters; it=
 can
be anything that antagonizes the protagonist- such as the weather!</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Click on one of these famo=
us
literary antagonists to learn more about him or her. If you chose Long John
Silver, after clicking scroll down the page to find his name:</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp; </span><span style=3D'font-size:20.=
0pt'><span
style=3D'mso-spacerun:yes'>&nbsp;</span><span style=3D'mso-tab-count:4'>&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><=
/span><span
style=3D'font-size:18.0pt'><a
href=3D"http://www.sparknotes.com/shakespeare/othello/terms/char_3.html"><s=
pan
class=3DSpellE>Iago</span></a><span style=3D'mso-tab-count:6'>&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p; </span><a
href=3D"http://www.gradesaver.com/classicnotes/titles/treasure/charlist.htm=
l">Long
John Silver</a> </span><span style=3D'mso-spacerun:yes'>&nbsp;</span></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:5'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><a
href=3D"http://www.sparknotes.com/shakespeare/othello/terms/char_3.html"><s=
pan
style=3D'color:windowtext;text-decoration:none;text-underline:none'><!--[if=
 gte vml 1]><v:shape
 id=3D"_x0000_i1029" type=3D"#_x0000_t75" style=3D'width:126.75pt;height:20=
6.25pt'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image009.jpg" o:title=3D"=
iago"/>
</v:shape><![endif]--><![if !vml]><img border=3D0 width=3D169 height=3D275
src=3D"CharacterStudyWebquest_files/image010.jpg" v:shapes=3D"_x0000_i1029"=
><![endif]></span></a><span
style=3D'mso-tab-count:3'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span><a
href=3D"http://www.gradesaver.com/classicnotes/titles/treasure/charlist.htm=
l"><span
style=3D'color:windowtext;text-decoration:none;text-underline:none'><!--[if=
 gte vml 1]><v:shape
 id=3D"_x0000_i1030" type=3D"#_x0000_t75" style=3D'width:135pt;height:211.5=
pt'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image011.jpg" o:title=3D"=
long john silver"/>
</v:shape><![endif]--><![if !vml]><img border=3D0 width=3D180 height=3D282
src=3D"CharacterStudyWebquest_files/image012.jpg" v:shapes=3D"_x0000_i1030"=
><![endif]></span></a><span
style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp; </span></p>

<p class=3DMsoNormal style=3D'margin-left:4.5in'><span style=3D'font-size:1=
4.0pt'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:4.5in'><!--[if gte vml 1]><v:shap=
e id=3D"_x0000_s1026"
 type=3D"#_x0000_t75" href=3D"http://www.classicshorts.com/stories/lvta.htm=
l"
 style=3D'position:absolute;left:0;text-align:left;margin-left:126pt;
 margin-top:4.55pt;width:186pt;height:181.5pt;z-index:-1' o:button=3D"t">
 <v:fill o:detectmouseclick=3D"t"/>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image013.jpg" o:title=3D"=
ants1"/>
</v:shape><![endif]--><![if !vml]><span style=3D'mso-ignore:vglayout;positi=
on:
absolute;z-index:-1;left:0px;margin-left:168px;margin-top:6px;width:248px;
height:242px'><a href=3D"http://www.classicshorts.com/stories/lvta.html"><i=
mg
border=3D0 width=3D248 height=3D242 src=3D"CharacterStudyWebquest_files/ima=
ge014.jpg"
v:shapes=3D"_x0000_s1026"></a></span><![endif]><span style=3D'font-size:14.=
0pt'><o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:4.5in'><span style=3D'font-size:1=
4.0pt'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:4.5in'><span style=3D'font-size:1=
4.0pt'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:4.5in'><span style=3D'font-size:1=
4.0pt'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:4.5in'><span style=3D'font-size:1=
4.0pt'>Advanced
Readers: <o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:4.5in'><span style=3D'font-size:1=
4.0pt'>The
ants from <a href=3D"http://www.classicshorts.com/stories/lvta.html">&#8220=
;<span
class=3DSpellE>Leingengen</span> versus the Ants&#8221; (full story)</a></s=
pan></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.25in;text-indent:-.25in;mso-lis=
t:l1 level1 lfo3;
tab-stops:list 1.25in'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>6.<span
style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n></span><![endif]>How
does the character or element you picked fit the definition of an antagonis=
t?
Give specific details.</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span
style=3D'font-size:20.0pt'>What is a Dynamic/Round or Static/Flat Character=
?<o:p></o:p></span></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Choose
one of the following websites to gain some information on dynamic/round and
static/flat characters. </p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><a
href=3D"http://www.humboldt.edu/~tdd2/Character.htm">http://www.humboldt.ed=
u/~tdd2/Character.htm</a></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><a
href=3D"http://fictionwriting.about.com/od/glossary/g/RoundCharacter.htm">h=
ttp://fictionwriting.about.com/od/glossary/g/RoundCharacter.htm</a></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><a
href=3D"http://fictionwriting.about.com/od/glossary/g/RoundCharacter.htm">h=
ttp://fictionwriting.about.com/od/glossary/g/RoundCharacter.htm</a></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'>7. Define a
dynamic or round character.</p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'>8. Define =
a static
or flat character. </p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><b>Bonus q=
uestion:</b>
Where does this concept of round and flat characters come from? </p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>The answer to that questio=
n can be
found here: <a href=3D"http://www.teachit.co.uk/attachments/3941.pdf">http:=
//www.teachit.co.uk/attachments/3941.pdf</a></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Click
on the following character and read the description:</p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:2.5in;text-indent:.5in'><a
href=3D"http://www.pantheon.org/articles/m/midas.html"><span style=3D'text-=
decoration:
none;text-underline:none'><!--[if gte vml 1]><v:shape id=3D"_x0000_i1031" t=
ype=3D"#_x0000_t75"
 style=3D'width:115.5pt;height:212.25pt'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image015.jpg" o:title=3D"=
midas"/>
</v:shape><![endif]--><![if !vml]><img border=3D0 width=3D154 height=3D283
src=3D"CharacterStudyWebquest_files/image016.jpg" v:shapes=3D"_x0000_i1031"=
><![endif]></span><span
style=3D'mso-spacerun:yes'>&nbsp;</span><span style=3D'mso-tab-count:1'>&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span
style=3D'font-size:28.0pt'>King Midas</span></a><span style=3D'font-size:26=
.0pt'><o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.25in;text-indent:-.25in;mso-lis=
t:l0 level1 lfo4;
tab-stops:list 1.25in'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>9.<span
style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n></span><![endif]>Would
you classify this character as round or flat? Why?</p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><span style=3D'font-size:2=
6.0pt'>III.
Elements of Character<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><u><span style=3D'font-siz=
e:22.0pt'>Appearance<o:p></o:p></span></u></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Typically, the first thing=
 an
author will describe about a character is the character&#8217;s appearance.
Look the pictures below and infer what kind of personality traits these cha=
racters
might have. Create list of possible traits for each character.</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>1. <!--[if gte vml 1]><v:s=
hape
 id=3D"_x0000_i1032" type=3D"#_x0000_t75" style=3D'width:132.75pt;height:18=
3.75pt'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image017.jpg" o:title=3D"=
darth_vader"/>
</v:shape><![endif]--><![if !vml]><img border=3D0 width=3D177 height=3D245
src=3D"CharacterStudyWebquest_files/image018.jpg" v:shapes=3D"_x0000_i1032"=
><![endif]><span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp; </span>2.
<!--[if gte vml 1]><v:shape id=3D"_x0000_i1033" type=3D"#_x0000_t75" style=
=3D'width:172.5pt;
 height:156.75pt'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image019.jpg" o:title=3D"=
angry_face"/>
</v:shape><![endif]--><![if !vml]><img border=3D0 width=3D230 height=3D209
src=3D"CharacterStudyWebquest_files/image020.jpg" v:shapes=3D"_x0000_i1033"=
><![endif]><span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp; </span>3.
<!--[if gte vml 1]><v:shape id=3D"_x0000_i1034" type=3D"#_x0000_t75" style=
=3D'width:133.5pt;
 height:156.75pt'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image021.jpg" o:title=3D"=
jughead"/>
</v:shape><![endif]--><![if !vml]><img border=3D0 width=3D178 height=3D209
src=3D"CharacterStudyWebquest_files/image022.jpg" v:shapes=3D"_x0000_i1034"=
><![endif]></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Read this excerpt from Bram
Stoker&#8217;s <u>Dracula</u>:</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p style=3D'margin-top:5.0pt;margin-right:53.25pt;margin-bottom:5.0pt;margi=
n-left:
1.0in;text-align:justify;text-indent:.5in'><b style=3D'mso-bidi-font-weight=
:normal'><i
style=3D'mso-bidi-font-style:normal'><span style=3D'color:black'>His face w=
as a
strong, a very strong, aquiline, with high bridge of the thin nose and pecu=
liarly
arched nostrils, with lofty domed forehead, and hair growing scantily round=
 the
temples but profusely elsewhere. His eyebrows were very massive, almost mee=
ting
over the nose, and with bushy hair that seemed to curl in its own profusion.
The mouth, so far as I could see it under the heavy moustache, was fixed and
rather cruel-looking, with peculiarly sharp white teeth. These protruded ov=
er
the lips, whose remarkable ruddiness showed astonishing vitality in a man of
his years. For the rest, his ears were pale, and at the tops extremely poin=
ted.
The chin was broad and strong, and the cheeks firm though thin. The general
effect was one of extraordinary pallor. <o:p></o:p></span></i></b></p>

<p style=3D'margin-top:5.0pt;margin-right:53.25pt;margin-bottom:5.0pt;margi=
n-left:
1.0in;text-align:justify;text-indent:.5in'><b style=3D'mso-bidi-font-weight=
:normal'><i
style=3D'mso-bidi-font-style:normal'><span style=3D'color:black'>Hitherto I=
 had
noticed the backs of his hands as they lay on his knees in the firelight, a=
nd
they had seemed rather white and fine. But seeing them now close to me, I c=
ould
not but notice that they were rather coarse, broad, with squat fingers. Str=
ange
to say, there were hairs in the centre of the palm. The nails were long and
fine, and cut to a sharp point. As the Count leaned over me and his hands
touched me, I could not repress a shudder. It may have been that his breath=
 was
rank, but a horrible feeling of nausea came over me, <span class=3DGramE>wh=
ich</span>,
do what I would, I could not conceal. <o:p></o:p></span></i></b></p>

<p style=3D'margin-top:5.0pt;margin-right:53.25pt;margin-bottom:5.0pt;margi=
n-left:
1.0in;text-align:justify;text-indent:.5in'><b style=3D'mso-bidi-font-weight=
:normal'><i
style=3D'mso-bidi-font-style:normal'><span style=3D'color:black'><o:p>&nbsp=
;</o:p></span></i></b></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>4. What can you infer about
Dracula based solely on his appearance? <br style=3D'mso-special-character:=
line-break'>
<![if !supportLineBreakNewLine]><br style=3D'mso-special-character:line-bre=
ak'>
<![endif]></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>We usually make our first
judgments of a person based on his or her experience. Authors know this, and
they often use a character&#8217;s appearance to give readers a clue about a
character&#8217;s traits. </p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><u><span style=3D'font-siz=
e:22.0pt'>Behavior
and Dialogue<o:p></o:p></span></u></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><u><o:p><span style=3D'tex=
t-decoration:
 none'>&nbsp;</span></o:p></u></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>The behavior and actions o=
f a
character can often inform the reader about what kind of person the charact=
er
is. Read the excerpts below and watch the video to make some inferences abo=
ut
what kind of traits the characters have.<span style=3D'mso-spacerun:yes'>&n=
bsp;
</span></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.25in;text-indent:-.25in;mso-lis=
t:l2 level1 lfo5;
tab-stops:list 1.25in'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>1.<span
style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n></span><![endif]>Click
to <a
href=3D"http://www.literature.org/authors/carroll-lewis/alices-adventures-i=
n-wonderland/chapter-07.html">read
this chapter from Lewis Carroll&#8217;s Alice in Wonderland</a>. What traits
can you infer the Mad Hatter might have? Why? Support with evidence from the
reading. </p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.25in;text-indent:-.25in;mso-lis=
t:l2 level1 lfo5;
tab-stops:list 1.25in'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>2.<span
style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n></span><![endif]>Read
the following excerpt from Edgar Allan Poe&#8217;s &#8220;The Tell-tale
Heart.&#8221; What traits can you infer for the narrator? Why? Support with
evidence from the reading. </p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-top:0in;margin-right:53.25pt;margin-bo=
ttom:
0in;margin-left:1.0in;margin-bottom:.0001pt;text-indent:.5in'><b
style=3D'mso-bidi-font-weight:normal'><i style=3D'mso-bidi-font-style:norma=
l'><span
style=3D'font-family:Arial;color:black'>But even yet I refrained and kept s=
till. I
scarcely breathed. I held the lantern motionless. I tried how steadily I co=
uld
maintain the ray upon the eye. Meantime the hellish tattoo of the heart
increased. It grew quicker and quicker, and louder and louder, every instan=
t.
The old man's terror must have been extreme! It grew louder, I say, louder
every moment! -- do you mark me well? I have told you that I am nervous: so=
 I
am. And now at the dead hour of the night, amid the dreadful silence of that
old house, so strange a noise as this excited me to uncontrollable terror. =
Yet,
for some minutes longer I refrained and stood still. But the beating grew
louder, louder! I thought the heart must burst. And now a new anxiety seize=
d me
-- the sound would be heard by a <span class=3DSpellE>neighbour</span>! The=
 old
man's hour had come! With a loud yell, I threw open the lantern and leaped =
into
the room. He shrieked once -- once only. In an instant I dragged him to the
floor, and pulled the heavy bed over him. I then smiled gaily, to find the =
deed
so far done. But for many minutes the heart beat on with a muffled sound. T=
his,
however, did not vex me; it would not be heard through the wall. At length =
it
ceased. The old man was dead. I removed the bed and examined the corpse. Ye=
s,
he was stone, stone dead. I placed my hand upon the heart and held it there
many minutes. There was no pulsation. He was stone dead. His eye would trou=
ble
me no more.</span></i></b><b style=3D'mso-bidi-font-weight:normal'><i
style=3D'mso-bidi-font-style:normal'><span style=3D'font-family:Arial'><o:p=
></o:p></span></i></b></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.25in;text-indent:-.25in;mso-lis=
t:l2 level1 lfo5;
tab-stops:list 1.25in'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>3.<span
style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </spa=
n></span><![endif]>Click
the picture below this question. You will not be able to see this video in
class. You will have to do it at home where you have access to YouTube vide=
os.
If your parents do not want you to access YouTube, please have them write a=
nd
sign an excuse for you, exempting you from this part of the independent
study.<span style=3D'mso-spacerun:yes'>&nbsp; </span>Describe the behavior =
in the
clip. What traits can you infer that either of these characters might have?
Why? Support with evidence from the clip.</p>

<p class=3DMsoNormal align=3Dcenter style=3D'margin-left:1.0in;text-align:c=
enter'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-family:Arial;color:blue'><a
href=3D"http://www.youtube.com/watch?v=3DU1TmeBd9338"><span style=3D'text-d=
ecoration:
none;text-underline:none'><!--[if gte vml 1]><v:shape id=3D"_x0000_i1035" t=
ype=3D"#_x0000_t75"
 alt=3D""
 href=3D"http://images.google.com/imgres?imgurl=3Dhttp://www.qpratools.com/=
videos/(dvd)-goldfinger-front.jpg&amp;imgrefurl=3Dhttp://www.mahalo.com/Gol=
dfinger&amp;h=3D722&amp;w=3D500&amp;sz=3D98&amp;hl=3Den&amp;start=3D5&amp;u=
m=3D1&amp;usg=3D__r4s5HzJpflwOQmDAbMiUIfeODGQ=3D&amp;tbnid=3D3Yg1q2YtxCtLJM=
:&amp;tbnh=3D140&amp;tbnw=3D97&amp;prev=3D/images%3Fq%3Dgoldfinger%26um%3D1=
%26hl%3Den%26rlz%3D1T4RNWN_en__263__264%26sa%3DN"
 style=3D'width:106.5pt;height:153.75pt' o:button=3D"t">
 <v:imagedata src=3D"CharacterStudyWebquest_files/image023.jpg" o:href=3D"h=
ttp://tbn0.google.com/images?q=3Dtbn:3Yg1q2YtxCtLJM:http://www.qpratools.co=
m/videos/(dvd)-goldfinger-front.jpg"/>
</v:shape><![endif]--><![if !vml]><span style=3D'mso-ignore:vglayout'><img
border=3D0 width=3D142 height=3D205 src=3D"CharacterStudyWebquest_files/ima=
ge024.jpg"
style=3D'border-bottom-style:solid;border-bottom-width:1px;border-left-styl=
e:
solid;border-left-width:1px;border-right-style:solid;border-right-width:1px;
border-top-style:solid;border-top-width:1px' v:shapes=3D"_x0000_i1035"></sp=
an><![endif]></span></a></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><b
style=3D'mso-bidi-font-weight:normal'>NOW THINK</b>: What do the behavior o=
f a
character and what the characters says tell you about the character?</p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><u><span
style=3D'font-size:22.0pt'>Feelings<o:p></o:p></span></u></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>What does a character care=
 about?
How does he or she feel about his friends, his family, and life in general?
Click the picture and watch the video. You will not be able to see this vid=
eo
in class. You will have to do it at home where you have access to YouTube
videos. If your parents do not want you to access YouTube, please have them
write and sign an excuse for you, exempting you from this part of the
independent study. </p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'margin-left:.5in;text-align:ce=
nter;
text-indent:.5in'><span style=3D'font-family:Arial;color:blue'><a
href=3D"http://www.youtube.com/watch?v=3Dnk4xRZ1hwM4&amp;feature=3Drelated"=
><span
style=3D'text-decoration:none;text-underline:none'><!--[if gte vml 1]><v:sh=
ape
 id=3D"_x0000_i1036" type=3D"#_x0000_t75" alt=3D""
 href=3D"http://images.google.com/imgres?imgurl=3Dhttp://www.iptrademarkatt=
orney.com/copyright-spiderman-pic.jpg&amp;imgrefurl=3Dhttp://www.iptrademar=
kattorney.com/2008/03/burbank-ca-copyright-attorney-lawyer-copyright-infrin=
gement-lawsuit-spiderman-cartoon-entertainment.html&amp;h=3D741&amp;w=3D825=
&amp;sz=3D182&amp;hl=3Den&amp;start=3D9&amp;um=3D1&amp;usg=3D__lCIlvA5qTySH=
CbZYP4gXo8S-p_s=3D&amp;tbnid=3DUYTfZ1H3zZsTjM:&amp;tbnh=3D129&amp;tbnw=3D14=
4&amp;prev=3D/images%3Fq%3Dspider-man%26um%3D1%26hl%3Den%26safe%3Dactive%26=
rlz%3D1T4RNWN_en__263__264"
 style=3D'width:150.75pt;height:135pt' o:button=3D"t">
 <v:imagedata src=3D"CharacterStudyWebquest_files/image025.jpg" o:href=3D"h=
ttp://tbn0.google.com/images?q=3Dtbn:UYTfZ1H3zZsTjM:http://www.iptrademarka=
ttorney.com/copyright-spiderman-pic.jpg"/>
</v:shape><![endif]--><![if !vml]><span style=3D'mso-ignore:vglayout'><img
border=3D0 width=3D201 height=3D180 src=3D"CharacterStudyWebquest_files/ima=
ge026.jpg"
v:shapes=3D"_x0000_i1036"></span><![endif]></span></a></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'margin-left:.5in;text-align:ce=
nter;
text-indent:.5in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'margin-left:.5in;text-align:ce=
nter;
text-indent:.5in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'>What does =
this
character care about? What does that tell you about him? Does he feel the s=
ame
about trash that most other people do?<u><o:p></o:p></u></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><u><o:p><s=
pan
 style=3D'text-decoration:none'>&nbsp;</span></o:p></u></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><u><span
style=3D'font-size:22.0pt'>Personality: <o:p></o:p></span></u></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Based
on the character&#8217;s appearance, behavior, and feelings, you can start
inferring the personality or character traits. </p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbsp;=
</o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbsp;=
</o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-family:Arial;color:black'><a
href=3D"http://images.google.com/imgres?imgurl=3Dhttp://uk.gizmodo.com/spid=
erman_skyscaper.jpg&amp;imgrefurl=3Dhttp://uk.gizmodo.com/2006/07/28/spider=
man_joins_the_army.html&amp;h=3D768&amp;w=3D1024&amp;sz=3D96&amp;hl=3Den&am=
p;start=3D8&amp;um=3D1&amp;usg=3D__rgTGDhBkeNSugFjDr7IL-NEIypM=3D&amp;tbnid=
=3DBL_P4Z2IjJXbQM:&amp;tbnh=3D113&amp;tbnw=3D150&amp;prev=3D/images%3Fq%3Ds=
pider-man%26um%3D1%26hl%3Den%26safe%3Dactive%26rlz%3D1T4RNWN_en__263__264%2=
6sa%3DN"><span
style=3D'text-decoration:none;text-underline:none'><!--[if gte vml 1]><v:sh=
ape
 id=3D"_x0000_i1037" type=3D"#_x0000_t75" alt=3D""
 href=3D"http://images.google.com/imgres?imgurl=3Dhttp://uk.gizmodo.com/spi=
derman_skyscaper.jpg&amp;imgrefurl=3Dhttp://uk.gizmodo.com/2006/07/28/spide=
rman_joins_the_army.html&amp;h=3D768&amp;w=3D1024&amp;sz=3D96&amp;hl=3Den&a=
mp;start=3D8&amp;um=3D1&amp;usg=3D__rgTGDhBkeNSugFjDr7IL-NEIypM=3D&amp;tbni=
d=3DBL_P4Z2IjJXbQM:&amp;tbnh=3D113&amp;tbnw=3D150&amp;prev=3D/images%3Fq%3D=
spider-man%26um%3D1%26hl%3Den%26safe%3Dactive%26rlz%3D1T4RNWN_en__263__264%=
26sa%3DN"
 style=3D'width:153pt;height:115.5pt' o:button=3D"t">
 <v:imagedata src=3D"CharacterStudyWebquest_files/image027.jpg" o:href=3D"h=
ttp://tbn0.google.com/images?q=3Dtbn:BL_P4Z2IjJXbQM:http://uk.gizmodo.com/s=
piderman_skyscaper.jpg"/>
</v:shape><![endif]--><![if !vml]><span style=3D'mso-ignore:vglayout'><img
border=3D0 width=3D204 height=3D154 src=3D"CharacterStudyWebquest_files/ima=
ge028.jpg"
style=3D'border-bottom-style:solid;border-bottom-width:1px;border-left-styl=
e:
solid;border-left-width:1px;border-right-style:solid;border-right-width:1px;
border-top-style:solid;border-top-width:1px' v:shapes=3D"_x0000_i1037"></sp=
an><![endif]></span></a><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp; </span><span class=3DGramE><b
style=3D'mso-bidi-font-weight:normal'>or</b></span><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;&nbsp; </span></span><!--[if gte vml=
 1]><v:shape
 id=3D"_x0000_i1038" type=3D"#_x0000_t75" alt=3D"" style=3D'width:106.5pt;h=
eight:124.5pt'>
 <v:imagedata src=3D"CharacterStudyWebquest_files/image029.jpg" o:href=3D"h=
ttp://www.cbc.ca/gfx/images/arts/photos/2006/10/11/spongebob-squarepants-cp=
-1915877.jpg"/>
</v:shape><![endif]--><![if !vml]><img border=3D0 width=3D142 height=3D166
src=3D"CharacterStudyWebquest_files/image030.jpg" v:shapes=3D"_x0000_i1038"=
><![endif]></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbsp;=
</o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbsp;=
</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>1. What are some personali=
ty
traits for the above character? Create a list of traits and explain what
element (appearance, behavior, feelings, etc.) made you choose each trait y=
ou
listed. (At least 5 traits on your list, please)</p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><u><o:p><s=
pan
 style=3D'text-decoration:none'>&nbsp;</span></o:p></u></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><b
style=3D'mso-bidi-font-weight:normal'><u><o:p><span style=3D'text-decoratio=
n:none'>&nbsp;</span></o:p></u></b></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><b style=3D'mso-bidi-font-=
weight:
normal'>NOW THINK- PUT IT ALL TOGETHER!</b> Based on the appearance, behavi=
or,
feelings, and personality of the character, you have a good sense the
character. Which of these elements do you think is the most important when
analyzing a character? Why?</p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><span
style=3D'font-size:26.0pt'>IV. Direct and Indirect Characterization<o:p></o=
:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Check
out this site: <a
href=3D"http://www.fictionfactor.com/guests/characterization.html">http://w=
ww.fictionfactor.com/guests/characterization.html</a></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Or
this one: <a href=3D"http://www.everything2.com/index.pl?node=3DCharacteriz=
ation">http://www.everything2.com/index.pl?node=3DCharacterization</a></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'>After read=
ing the
information found on the website, read the following passage and answer the
questions below.</p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Read the first paragraph a=
t <a
href=3D"http://hca.gilead.org.il/emperor.html">http://hca.gilead.org.il/emp=
eror.html</a>.</p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'>1. Write t=
hree
specific examples of direct characterization from the first paragraph of the
story. </p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Watch
the short on this website: <a
href=3D"http://www.umass.edu/aesop/content.php?n=3D16&amp;i=3D1">http://www=
.umass.edu/aesop/content.php?n=3D16&amp;i=3D1</a></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>2. Write three specific ex=
amples
of indirect characterization from the short. </p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><b style=3D'mso-bidi-font-=
weight:
normal'>NOW THINK-</b> What form of characterization do you think is more
effective, indirect or direct? Why?</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'text-indent:.5in'><a name=3DEvaluation></a><u=
><span
style=3D'font-size:26.0pt'>Evaluation: <o:p></o:p></span></u></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Now that you have an under=
standing
of character, characterization, and character traits, it is time to apply y=
our
knowledge:</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Imagine you are on a deser=
ted
island, and you can bring only one person. Choose a celebrity (a real life
person, not a fictional character) to live on your island with you. Choose =
two
character <b style=3D'mso-bidi-font-weight:normal'>TRAITS</b> that this cel=
ebrity
possesses that would be useful on the island. </p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Keep in mind that a TRAIT =
is <b
style=3D'mso-bidi-font-weight:normal'>not</b> a skill. Choosing <span
class=3DSpellE>Emeril</span> or Gordon Ramsay because he is a chef is not
acceptable. Being a chef is an occupation. Being a good chef is a skill. You
must choose your person based on character traits such as bravery, honesty,
responsibility etc. </p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Write an essay explaining =
your
choice. Your introduction should name the person you chose and give some
background of your celebrity. Who is he or she? Pretend I do not know who y=
our
celebrity is and give a general description of him or her. At the end of yo=
ur
introduction, name two traits that this person possesses that are ideal for
helping you on this deserted island. This will serve as your thesis stateme=
nt.</p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Your two body paragraphs s=
hould
explain the celebrity&#8217;s traits and the evidence for your celebrity ha=
ving
these traits. If you&#8217;re going to tell me that you have chosen Michael
Phelps because he is motivated, you must give me two pieces of evidence of =
how
he is motivated. Then you must connect how being motivated will be helpful =
to
you on the island. </p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Your
conclusion should restate your thesis and restate the strongest points of y=
our
body paragraphs. </p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><b
style=3D'mso-bidi-font-weight:normal'>This will be due October 31, 2008.<o:=
p></o:p></b></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><b
style=3D'mso-bidi-font-weight:normal'>Requirements:<o:p></o:p></b></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span
style=3D'mso-spacerun:yes'>&nbsp;</span><span style=3D'mso-tab-count:1'>&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span
class=3DGramE>Minimum 700 words.</span> (<span class=3DGramE>around</span> =
two,
double-spaced pages)</p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:3'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Follow
the <a
href=3D"http://www.teacherweb.com/SC/RollingsMiddleSchooloftheArts/MrJohnso=
n/h4.stm">formatting
requirements on my website.</a></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><b
style=3D'mso-bidi-font-weight:normal'>Here&#8217;s the rubric:<o:p></o:p></=
b></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<div align=3Dcenter>

<table class=3DMsoTableGrid border=3D1 cellspacing=3D0 cellpadding=3D0
 style=3D'border-collapse:collapse;border:none;mso-border-alt:solid windowt=
ext .5pt;
 mso-yfti-tbllook:480;mso-padding-alt:0in 5.4pt 0in 5.4pt;mso-border-inside=
h:
 .5pt solid windowtext;mso-border-insidev:.5pt solid windowtext'>
 <tr style=3D'mso-yfti-irow:0;mso-yfti-firstrow:yes'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-left:none;mso-border-left-alt:solid windowtext .5pt;mso-border-alt:
  solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>0-1 Points<o:p></o:p></b></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-left:none;mso-border-left-alt:solid windowtext .5pt;mso-border-alt:
  solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>2-3 Points<o:p></o:p></b></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-left:none;mso-border-left-alt:solid windowtext .5pt;mso-border-alt:
  solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>4-5 Points<o:p></o:p></b></p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:1'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'><o:p>&nbsp;</o:p></b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>Thesis</b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><i
  style=3D'mso-bidi-font-style:normal'>assertion, two traits, one sentence<=
o:p></o:p></i></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Missing a=
ssertion
  and/or trait, more than one sentence</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Contains =
proper
  elements but is unclear or poorly stated</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Assertion=
, two
  traits, one sentence, clearly stated</p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:2'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'><o:p>&nbsp;</o:p></b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>Introduction</b> <i style=3D'mso-bi=
di-font-style:
  normal'>contains correct thesis statement</i></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Does not =
contain
  a<span style=3D'mso-spacerun:yes'>&nbsp; </span>thesis statement</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Contains =
thesis
  statement but is unclear/poorly stated</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Contains =
correctly
  stated thesis statement</p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:3'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'><o:p>&nbsp;</o:p></b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>Character Traits<o:p></o:p></b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><i
  style=3D'mso-bidi-font-style:normal'>traits are specific, clear and impor=
tant
  for survival<o:p></o:p></i></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><i
  style=3D'mso-bidi-font-style:normal'><o:p>&nbsp;</o:p></i></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Poor, non=
-specific
  traits that are unclear</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>One and/o=
r both
  traits are a little unclear but acceptable</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Character=
 traits
  are specific and clear</p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:4'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>Body #1</b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><i
  style=3D'mso-bidi-font-style:normal'>one trait, two proofs, connections<o=
:p></o:p></i></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Missing t=
rait
  and/or<span style=3D'mso-spacerun:yes'>&nbsp; </span>proof, and is poorly
  connected</p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Has a tra=
it and two
  proofs but needs clearer connections</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Has a tra=
it, two
  proofs, and is clearly connected to the thesis</p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:5'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>Body #2</b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><i
  style=3D'mso-bidi-font-style:normal'>one trait, two proofs, connections<o=
:p></o:p></i></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Missing t=
rait
  and/or<span style=3D'mso-spacerun:yes'>&nbsp; </span>proof, and is poorly
  connected</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Has a tra=
it and two
  proofs but needs clearer connections</p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Has a tra=
it, two
  proofs, and is clearly connected to the thesis</p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:6'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>Conclusion<o:p></o:p></b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><i
  style=3D'mso-bidi-font-style:normal'>contains correct thesis statement<o:=
p></o:p></i></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Does not =
contain
  a<span style=3D'mso-spacerun:yes'>&nbsp; </span>thesis statement</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Contains =
thesis
  statement but is unclear/poorly stated</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Contains =
correctly
  stated thesis statement</p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:7'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>MLA</b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><i
  style=3D'mso-bidi-font-style:normal'>correct heading, typed, Times New Ro=
man,
  12 pt. font<o:p></o:p></i></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Incorrect=
 heading,
  not typed and/or incorrect font</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Correct h=
eading,
  typed in correct font with only some minor errors</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Typed wit=
h correct
  heading, format, and font</p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:8'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>Mechanics</b> <i style=3D'mso-bidi-=
font-style:
  normal'>grammar, syntax, and spelling</i></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>More than=
 five
  grammar, syntax, and/or spelling errors</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>4 - 5 gra=
mmar,
  syntax, and/or spelling errors</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Three or =
less
  grammar, syntax, and/or spelling errors</p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:9'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>Overall Writing<o:p></o:p></b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>Quality<o:p></o:p></b></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Poor writ=
ing,
  effort, and/or presentation</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Strong wr=
iting but
  lacks clarity/focus</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Writing i=
s clear,
  concise, and strong</p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:10;mso-yfti-lastrow:yes'>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border:solid windowte=
xt 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'><o:p>&nbsp;</o:p></b></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b
  style=3D'mso-bidi-font-weight:normal'>Timeliness<o:p></o:p></b></p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Essay was=
 not
  turned in on time</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>---------=
-----------</p>
  </td>
  <td width=3D148 valign=3Dtop style=3D'width:110.7pt;border-top:none;borde=
r-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt'>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbs=
p;</o:p></p>
  <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Essay was=
 turned in
  on time</p>
  </td>
 </tr>
</table>

</div>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><o:p>&nbsp;=
</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><u><span
style=3D'font-size:22.0pt'>Conclusion:<o:p></o:p></span></u></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'>Now that you&#8217;ve comp=
leted
this independent study, you should have strengthened your understanding of
characterization. You have defined and identified: protagonist and antagoni=
st;
round, flat, static, and dynamic character; <span style=3D'mso-tab-count:1'=
>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>and
elements of character. You have analyzed character traits and explained the=
m in
an expository essay. </p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:2'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><span style=3D'mso-tab-cou=
nt:4'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:.5in'><o:p>&nbsp=
;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

</div>

</body>

</html>

------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image001.wmz
Content-Transfer-Encoding: base64
Content-Type: application/x-ms-wmz
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image002.gif
Content-Transfer-Encoding: base64
Content-Type: image/gif
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image003.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image004.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image005.png
Content-Transfer-Encoding: base64
Content-Type: image/png

iVBORw0KGgoAAAANSUhEUgAAAK8AAAErCAMAAACfGiM9AAAAYFBMVEUAAAAKAAAUBAA4BABCGARo
HAB4OgiCZCSIIgCuTgS0gC66nlDSqFjs1rzwtIbyzp7y4Ljy5M72wKD2xqb8vKL/wKb/wqb/wqz/
xKj/xKr/xKz/xK7/xqz/xrD/yKwAAABL6SmNAAAAAWJLR0QAiAUdSAAAAAxjbVBQSkNtcDA3MTIA
AAADSABzvAAARd9JREFUeF6VnYtCG0nSrAUICSRxMZxZj8f2vP9j/hFfZFZXt4R3T88YhEBSdHZm
5LWqd399v9x/cez9vL/s9/r/T8fh+N+O0+l8Out/fbl1XJbj9ebxoeNV/3Z//XW+v9/t7vRPX+7u
H/Tv/kGP73b7Bz3a7x4e7vQ7jvv7w+nW8fz8fDo9H/km5Iccj/pjP3U46JnHPKW3vH/Q4fe+04c8
PFgUfnqvp/zRd/yJfrtI8UEw9nqRngHvg16oP7z3V72bntajO/3jh/1/xyuM02kg681pCbagHw+P
j4+Cp39657udcPCjn+XL8tjntNevee7h8ekpDyJfC1D4dMKRox89WOqWuNFHuLoA+y2QKALozpfL
2/v7m67n2+XmZZC4S/CS9P7x8GCI/mLJg9hKJ4nrmcenw5OfjQBB7zNa8ArQct19boIXmONp4X1c
4z0X3PP58vr2jUOAz43WsPVv/Fx4DxL1kz5cUA9PkpzQDTn3BZBo9b8UCO3x2fAnwWtIyLfEiyKU
ykrEwI7gN/I9S12R7GvAfnv5kBCNgPMyUFnSIuxn6/GT4OoBVowuWMiWZQQMQH3Lryxa/0GkvDde
43gotIE8kOth60gMboP3At7LS8CiBlJUXcwY5kWAL6KFcRjvk/GiACW4UumCLqXNaQBdokS6wC35
2rD2rbilys0IQ58j//vH8dGFQnDPhvsesBCFsNyFSEJTsz4YiQCjmpbcZGb9g88j8kRvcwHEq35o
+cqKShMwrcXsImv+j9Rv2Jvgvr28vdY1F3EZ8OOD8V4kW2vDpBDgfDzY7LjGA67Vo35AY5vMSjf8
jMnvYfcf6YO5L4hazkO85mWoArz3D4+Csz2en18CF8aycop39vVX8g6TfDE4KcRB9CTpWdY2PKH1
1ZYUbWDBGv4N8WL+ptf97m/jleQL78K1DdlSHQzxYPFd4T29GSR4OQ77+10UR2BntNYVYTVmuw5L
VMB9tYOK/60EGDyOI24Vkftx9KHw4iLWmmsNmaxvf42Xqy014MD0n591uVq+m5ODgA34IMsvu4oK
h7j8LXZmxHis+pUe6Nx2f32Xf7OvQR34PsRp+At+K/L9Fd7z27fLSVZfokXGT7fxYpDShPgMyReg
aG00NjxmN5Yf/Yx0RUTs41F4D8brC9KwJrzllsvmHFwIcOO1VFHay+fL60Wfb33wU0hY1+1avvy5
8YrSDlxj5IuLRlvNBThgx1jt0Mx7Bujj6Ul4f5wVg1VMM5OtrGxxbJa6KXrEO7Z6NOF8eX4+A1c/
f74+S2O+0IcFr/SBi2wHFzi2p4gXhSiJFpWh0VZf2Sn6UJ53IQVzAvFDRxZFaPJvW2M7n57PL4rE
CMqenvTh5oeSbzFZ2CP8TNxi9ir5+oHDLIeGAeyrXeSAVFvSPrfCu0iybctvUVGm1XqQxYK3vazY
AFfqSEDX2vJ9kp+HH+pvAttf9TtjFTkgSDNpdBhN8OkmcIS7mpD1CaFm/bf766f5YVz5SQWkHPU8
kVsscuAdTuBZYVa/t9/0cNT778u/5Wrob+2YL2YzOz/0sRxWGZxPVodD4RAwYZvPf384tB9Evj/O
M2NN3EUEOfxxEfTij+NrbUEwZzHE2d/1zIyXU8PNwb7IM0JEf3NhcnXwIrE7U0jwgjmk8mT9jdNd
oK0ZGJ5LVCE9L/mO9MXO1yH9vvjs+GA+k21eJyKcGzFt4i3B3QOzoBYHR7vgjYre9IPdEZdm9/dP
412OlYDr6dIXa8VGvjah/f2jFID8wXGM5CtXMAVGbaHglTBLH4y3pcpT1uKDXXLJEtSiXL+pFcl4
bW+nK3k2zPk0KoAYeENownAQNkWyflvg6r0l8d1+DiNNe2Hf57rsEJgtbJEv6uAvFQ/Fr+iKJPhM
hCx7O36FN0oiNZsC+QlvReIHJR3+bEsh4pU+KH4Iwj4arz5/EK60N6pLdkaaIQ0VLofQhJxmx+RK
zRW7H7fwlncGp7RMnqLsbonPosGWmbyOI5a6jKIH4VVyLYTOMXQdYmwOgonOZGshLRgMK3s0MShj
E3FJnCBFnDY2PcnfJ/DZ/f3PWr5LgkFQJ0u0YyuiuGu8aEMFtvYPAowm6J/wHpz6no77KXsyXvhB
ALF/+zOrp07WmAnL/ZjQjbwzZhfuS3CGPlzrr8sPAmk/UYld84c+ohnVUisOdgAp+Sb3PYLXTO1L
IjqhStKnJrzPwks8a9ilD3iLcBsaW0hDExVQ+hrK3r4P+S4+AzWggFLZEQ6DikTRFFBLIUwMdmt4
5GcnzM9LUHd/zGn5apS9URxxgC7UStqjERiTlYDCCoK1QNEMP+QJnY7tbc7Ym22pvIzg3ZkFP9zf
iB+o7EjrwGuVPR7XQTTqi4+zLSrYdKiTbKjpwQiTNqPOTqKrImT71U9Hn5j+SR/WeB3zRqqOQXwg
VwJ/aWXhTQY5QghDpQwl8Qpvkqtx3DmFVqLh8MEhkQOzCncEwhrtJENw8CY2OZQiIbWyf/u1PpRf
HFcuYsQM0giHHRU7JSNRflcENeXoQtF49UhwNymKzh2lsD82Xl9YW0/zQxVLogSWsyiNqNhnYAeD
JZf/vOIzswG0qxwBhkidihhEcp782yjbBG/rw7FKAysRH2e80UeFHPJv5JtNcGTs0NsCscWMcSj+
Df+WiF1hiHTksyhSWsD+PWRxP9cfOkSUpOvs/Y6nk3LN62MfDbZlWr7gxY4Soi/ZhnU0TF4CzbfS
kIPw/jouZkVJr8Sbz4WBOVL4K/mWsx2E5lIqft6sewPv7tB48W8pNj3pExI4hg8Qq9V1gzfETlVW
8cM/x5GvI0vkmOKIhYvBEbqnNDQcbEXguK1T8Pp3h1tofeJmDs5p4EUPinOjuy3WikRACQcXZPHD
91/HEU2aE1yPdGJJRThZRsSbwsB1/Lvg5VS2eAdZ2lKhJqgMw4oPLlQT3NYAiTThw+PjkYfCK32w
cY0AAahJnzCzcXVN8sO/OXyJT66jxXsa3r1eKKatuCl47bCWjKySe8d04HWYOwJTXX+Ixz4ZA0Qf
fkrj7m4YiaW8Kj8Q+C/+rQKeZmKYd5Zvnenh+bFCkuiD7S0ZBArbrFWX/RkxOj7DTyDekFsUQ/7i
n+OwKUWxG2OZajumiiUMH5IlRHv99lZ4B5txqvbfl+dCXnjNZEnUFUPawPwlPs3/jsq0wTsIgl9D
KNaH//x9VLUiBKAkDIMLwW1qU3RiWr4dFAitVONZpV8JYxavjVTJk6rur5cSsH7ffAYbSMClvLYn
NJksSN9XeBOuJ8Q87P7+IbyxKMPRQ7kGFyoVkKzrJejzlT6gw99ez4F7Gs7CpavLG8fpMZTeeAN2
xpuKGpfeRxFucqDEw7kA5t+fR5XnyiQOz5QEkqNuogDO6KHKk1O++fouAXMhJ/nevb5JsGd91aHi
sN53p5JE5FuJZBFugBYlGJMD0uXoX2CMJV8FdyGt/fNeLoz6ZinJzKai4fsrvJfPb2/CuzG3w+ur
5H44Sh8kX0WYpjld5jXeoQ8DXjNwzmF8Wc7J+cXhdCjOOZwehcl6JbxXxG+8naa3gN27eFO9Ty4D
+SbYub8YruCdhPdipbcOw1QEDMltwrhRAx7lWxFae8z+EwT8vPvxwzV8662rj/pkJ0AU2MpPrHDf
0t/z20WSKDoL/R5SvXx+Ml6VLGU/zpAon5E9NN7yxcTipaTFZSMim7TDeP/6cfQ1jp0Yr5Ohu1Fi
vVOt3P6jwLvOkECnDj06Cu9TqW/e504kphTpTtojfnBRRw0N50bgDVxHwMnRgr+CiCHy0umVlI1X
/KBS6Ok5JixFs1yVV+rdCNtV5lIUGQs3bcSfTfZ2OpzfZG86D6WUUYeHxGKPzxfzmbIjt4VdASx9
qITXeFMNXrotLebQwTpG80/WhyUfunsWlXf3FYW42zvI0R9GYaZ8sxN6V4kuqIMyjJzWXjDVmDU1
mH+ly5fT/c78q+jBATvCdUASCrOAU0pdSlBTjD6jdn6xvz8Ubd6f3OgCKE16kkwSK8d+xnvFv+IG
2efeVqRUJ3jvi8gKryDLyaEP8s6AE9p0WOKHZwvseKxQpm4UHkYf/pKGNhlYW51fOHRYIrP7J9f0
og9LPj/kq+QmMe3glHubWagX+YqA7eiP6IOPVD/S/SmTS+si6SaUkC5o0mXiHgBLvqpuTEHY0myL
rEopWn/LYUz2Jgq8S4rQkZjtzU16wzWfGa8N4L7wEu/47IhX4SKewf7GCTgf7sDiSDnLoZXlOwU1
KjQT/VqWC96G7ZgiNNt4306vL6f7hyfivWJF55eeESkRC6/UAR2zgJBuFaQyuYE+EK6Z+BOwNTEX
+T5IIjTjHnbfv08RdnKe4F93W5LCmaIr4E096tU6ee/yl2oQS/Qg9wbckq/IwuoU+aZ+5hgt3cvS
h8i2gcY5tNsrCtgdRV4//lrjZTJlEu2iKgni1vK1U1Ds9FR1tS7s3J9buOYGqcMTcEf8S/VBUUAp
g3U42GrKQT9TRo3T0z+s+HCUTX3/OaETHTgjum7KApUXbfCmCK0WRgUW9WbHxeAk4wtuRE5PMkv9
rvB2T0j9pUhzVPpUaCsPTWDsj5bHFYS//5rwVoVkqwqL4d3ES32y+8q5WnsTg4HaFZU6+KHxUizB
wOhhYWBx30E8XNykEBZXpPjj+yoBd5B7qyXQ/LD1x6QXLlCWgM+KnWwEJgjHaGm1WB3uqv5gvEUJ
3cZ0jCNLMOBUKGGvKUm2SKswspLvDVaYacJzHa6FTf64yvzCYAG7duoRGSU1UtsIWFb5rFDikf5Q
80MAVxPWcFNMtnxND6RDk8UZbwH58eNW/ag1YNWcJ3BzKWyL9/QkFwnNKTtS5n08vz6qQBIBi0P0
Ow9uVH3HlVSIbE9XUEmYKxi2SoWdad6nnlPtkHauwSR9mNhg+3BOkEmX5VRzjUeARlZBJQrAKrQr
gpeXeJaIxWjyb1SvOU/n885eMtuS2acHBXMKjJLFT7zrH8EuZRvmvtv98/kHvKt5gmR4JaoVXD6q
ArfT/viuaR674BTNLvSf7h6O0hQjyvjIgncvqKUrAVj2NupSemaKwf+6wjub22Z8Q3ifubIr8U7p
lqR4ZA7t1RR2B+enMVDlKOWKlLlq6Mk1SsSLHcgwY2qObsroeDCJ9K+tPkxwXf9da4jE1FDRzZh/
WbT9kyTFcNeSKPMG4vpzRnusDoZLXRIpdydP7xbSrUI1Vy3AJ7z/+QPerrUPzLqOrbk2JpGs4L6Z
iuCG6PXr+7f307bucjifmf4021GuT9fHDrjw2jDTbQFooY0oJgX+/kd72wh4vz8KZQcG+v6uT/mm
LwaKopgS9AdXVco7LoT1l7JPgknka2XgeL0ouEjcsOANWwTvw05R0z9/xLvhi/1ZtvTlIY/mT1Xd
wVNRV3V2dzieRcV8tG2OBtXhFMXS9ZKFDm8RuTZddM1fOcSf+WyD9/L+/jXgd4pPOew1KucbbyEn
4lkGZwOZ8XXjpfDiW+TWyxIKbZJ8RetTdWEV7/yBibki0swv8b6Jbv2pku2rR6hlcbOxyjMeD3v9
T3YQSpvw2l1YHdobr4DrPEex6f9Hvvd/0oVSXrs4y/csZN35dy5kQj4KM+UB2iL2lo5zCTldXyHX
L8ArSYceeN3ux5/8Rf1di30vdbipEXIPUUG+k7hoMvj8lhc6Sj1+e9Oltyu0Atc4EW7DnQ3gKnTL
nElHvq61JqqkYkqwrHrfn/yx/25RkmOicDCvoCdnD16rhMIe6cTne+OVMmg0WEHFSWJ3ZS4+Dr+x
78hIeQp9wZFYuBlaYXAXNB8t36/jx42zOFJTGKDnHKJtvMzNtQjVUQznoH6Oyi/Hb+/fXN+RRrja
A17pr9BBZTI2/ZAoZ3207TEp8fTn+GGN9/7sIgj/FtyKbKbDxhaVkIxf3j/wdQ5D9wdNCBOve1Lt
MY1Ta4PojDD5GWXelHS22N1v+Up/r6V+fwHuOwoxEM9wo8X+X475VFPX3/b715fz4fXbKxGYItLj
oedkHw8v74rinFx4mmfpu26R9s+7vwfetQvVO+q6rQQM3qgvoIG8gVuGd1GYMfC+nT3YrqCNEFGh
vRFn6nR/+JAlAPjYcdlXUHn+K/l60Fe/XoU7hRfIZXjDQZRHDXrJVxUOo6y59pK0IjGZkLJzVQAy
UHCQ2D1LLsCJdsag6xeodz8+bvGDsjFesBKw8EasqEOkvNWGxu0x+4WtPws3eJWMMK3GQO3B/of3
I8z7UrZth7sR/85TGxp6I418WndcvBxkdaAO7YORbAvYgVrWDCh8Y4jkSbSsCVPGHaQMAH465I/M
3/qrVWzW0CO4OjQP86luEPWcKYuXAJL2rvDuFXht8IZvx7E8tpNz2H60E+DDPLijqS+gu8mpxrbC
SdZtcJ0UTPafrqTs5O4W3jmNd8mA9Hqlv8Jb5ND6sFbfWdTG+/Lm6YzA5WtPk+hZ+eX9s9xewhGt
iZH2xlf88TiIf3sIdeECipBkp+vaxOvAWTwRvLNC9A9eFGBnoJxDROVwTEXvyNZf7sU9ak7en6LY
71IIlKYv+7j+W40Gb/oT49qnpqeXOJqaGO2+8C7O4hpuq4bx+tPlKDyvyABg4IJ3p6fFEfexSVtb
5Nth2ZdCFp85P1HRbEl6UsOhbZdsoH5l/V0fHVpds4TzDUhAVT2JrfEG89OjEjoGoj5KvMKLfDtK
/xqv7C1DA8OfZQ2AX+HQaNcyVqVP+lvBQ76tFGHRC6cX5HMAVnVYpqZaQ/RBU/New4RC+PeySmuZ
cjcqvxkr2OjxsDj1N6UPTDqMnpVyb+sDZ2gBL3jVlVjjXTmJhSmI1k3AxFfCKyBu5QJYnOt5enk2
VX79GQozDPjkOp+9CA2jr+R72P00XjfThz7cKQEZ+v6o4dNqLqvKhJm1dytfTM62OhqvVdKznx4p
uws4yZcKtSKgg3sCfA5ykKYzSOmK6tQr3AAv+SpbXezqjnfOIUbrRif60OFD9OGmc9OTlu9RiREI
ZWl3D1IDdW3AS0Hd8nUFgg9Bb50qp7qTPu0XEra90auZ2MxTKdIHHIbw5leqeIyuT0dnf8B7VsCD
wVlhMdrGW1PVCokl0ILrAVUHw+4zedCWyYibiB3/0s1d9IGTLpcyQjT1AWRGI1a/ZW7liiNf48Wj
q6Dj91ZRJ5IEFvj2D+X48rMnuzSrmJowRnfDe+CPxdtTy0L0MKmD2BPxqlpHISQaPNRhXUwb5GuC
EGYQKjYnI469ZZkFRCFDbHXwYqJ0X6a2stzzAEKS5J+sD/aNq7mQ9tcO70p99emp7FSCYQqyJAvi
CrfFK3chGYfCvMa1Lz1Lc0vABQcrq/yoOnDlNpx6bg7LVw1kjxHkcKzXyhC8/MYQBl4yjBkvCJdj
wlsOQpgiXvFN4Co4m9UBp4UtZj0vVwHY1NrHxOPul/QBgytKM4u3s7C11kJZ8LR8k8VJvo2SJeaL
tKPAcRiRJngz2gkSvkR0oPfEED1P21y15PqF1aATGME2/6rc455sAkrWV3VFF+ZBgS3dbllWNrTF
O0m48A7rT2aenKIE3HgjbRcto7oKggMwg8EJj/xNAxU6Q/DqsArbk1VCUrmU8UZRiGyv5Nt9gVrC
v9KIhCAl38KbVaMFYUjXKZ0cYNoamQDmd5LcuDp08fWT86HeMED1uBIvy5priiJqzQVPvF7pMeId
9rbSYHljqsFcqvGRliIWEvFZQUqE8iVPKUlkuieViFR3cnIZkdAX6a8KLLrWXELFTVGqKlK43rnC
u6QXqG/aPsW4iz5EAMIbpS3EVlLDjXpW/B5tcCzk6VLhRUoaUKjSFOurcxJmbvCmtWcO0jjLVCs2
6B4ZAdUqGzLKL/DGYyhpB69mOTjGGlwLeOUqNFX87CoTJQhmY2pQ0avlyj4tYM9P/vOhsPbDeP3v
pBVNxXiIWBF75EtpzJ5iSDhSXaSr9SAr/VWn0y4KvIkka0pB1fUytj4PNe+e+aUraCD03EyuseWs
l/PI/GC82rpCh7+eNbYStsumEyOuCN4OdzaZPMq6ZWA1/5IOx/8qkjRpmYMcEdc55Dwgqsa7LGiY
ymlYk78Ir4cVfLy8vLy+7hWGBa8m9pZ0885XwFNEQ8AOzobGBvDs71xT9VRPm5vxMkLqRZD2FYvl
3905VQavqQPT8v8RcV0KnTi2t/v1wTCIxPvyIlBayOg5JpZ9TEGb8ZY/LoWY2DfNM+TbX9ip5IgL
CzDHvAwFsRNIUxoeZHcvjPGtYlgGmmni58Vegs0aqJCA8Ea+utRSCPVO4UH6sMvI0e6ek+l4J95Y
EiRow+5Uno7xlUZToJRCgJUFF1JfO1z8BqEjKy3YQEPj3bA8BSomY0wHsq42JdMiK/0ed/9+VBWa
HVhYG0kxubYDiLXt9i+fLd/KMIxSCuNGoJHrh9r6BcSZunYOnOVtlmPwmnUdFBtpxF4e1OpA/JCJ
IxersDBwNsuiDx9vHwRewuuOQ7r8psOlpLrXlglLfFbilUnKN3raCn2wSuQQYJ6wQoCX0AEPFryu
RZlPDetO/yKUsVxEziy7AlTQjnkm8jHet5eXN+3hYERlphHwtM0GeNGHcm+IUGyXzL/hLojj4obr
tVJQoUYfcXvS42hDTx9LvJlY1dM2NEZNkoGkAOeT3v3+OIoYjNd01ttssJcB032lD5+NN5zmkRxm
SmNpjKdagQ0Tqyu8yDeRZKZfppyBdXCGnMHHGo0xDdQsO37Q/q02izHi3c/C+ym89m91ZRhSqJEZ
6y/0MPLj93Ntj4EaoMmeycCpATiblkgfTA/BayKwPgzE1CII2lAGVkqTcy54PZPGAlkWb/ltLF9U
dxKvxxyI/IYlgHfmh1dRnryJbaz7baqW8mO6WWVwg8+4mlTRprQsjPWgAUFxAyXsnuxCsF65maUE
6AZxTeHV1V7UIWMqmasofnggxOh6FHzmfZcCsN2wHIT12doQuBVADNfgqtQ2i7Tk/TFQiScxja2n
/DKVmXUa0ivbm/ShGu5qOAceuzK5PbbsW3A/4e3Gheqt3hxmxDyoxX6PCsMSyi9m+bq+d4cXmA8r
uAmCUBIqM160KAPXkW9qw+aH16OGbJDvudbS1N4EYxWvtWuWb+XHrolv8FqkImTGpPyVFHf2vRTT
NnjdIFjwSl9txx3UVthpE+Blu9+v8seFt8d3CUtWW8Xc+5oP/1b5/BssIH/RB6NcVgrUeIV3uOWb
eB0EZXG/pem9YjInZdFCZqMaYf21Iem/s4KzqIM7BJtJjUovVvUH8IoQ1ngdeLhjZbs7JrIJ4YZA
F34oHtazlq9jSewNpq5J4GJkP1nLUS1fnMXbW7FZGrtZv1vWpm+dDy3FPtfPgncdpmFpsoSqIC4K
ULvtNP7SCjIJls4wWVllE2aXzQ945c6mJX/4AbhvZ2oQkAOGtipaGm/c23Q40JnxUugLm7kfyGLr
JXH3tlVe87bWCNIPDxnUtlYZWU0cwax/OT2rtJ6NPiCrDLDQ7E00Oo99GsS2vO4QLXg3Ei68LOwh
dkCWFB+8sH9tb9aQjH4yFFw7haAZrrIhP8uauXz4t/LNY9V5m3YXbZBCEy6uy2eElDaxKTdGwKSu
Lhckt/Cai4FXeKZyrdXaPzKi6CXZzPR0xsbLY4YEFvZ1xltR1Ygd5mJlifzBrmH4i1IJWWj0t/O4
yjP9hHUvRGaHlhiCWkkXqVvIweutrGw2oGbhGK91FJx0KvPx0YfgLfHiyxc7qzhPLYIocE8UGPJN
vMSVXouhpDyHPxDHRSdAotwQsFWFFZjmBZTX9GXMNMeH02DO3fxA5abIDHlew2WcMEPeixYzR3JG
voOBO3jQGvpRd+iyCLU8DZHdwHvvVXcK1EptG+OyjwK8HLxnxuI7lFxjddsIQz3a717hPbmot8Jb
kbvcxiicpvHGhn1Uz9f6Cx8rdiNcURRBmJBkvofDx+PgPRF6zfoQt9HIyY+oV89cxjI8493YW+jM
uXWpg0PIqLE+zrHYxiHjedXisHyZP4pbI2AfC6JGrFZ4dUmH0iZ86Aq2HbPoZOCdSM14ranJjTvR
JGZzAZH0zOGi8Yb1jZc+xuZQVQbe1WuoegQ2jFAxUHZ0k3x/vqqwI8tRHtbBussktQbDG784KEiQ
sJavJhb0fPCOWoT5OLUHdvt49NDA8MXJ4m7gZYYDvMQNjJ6gsT3EmiqV/rf+Oi/2FazRO9dVXV5V
2K/hIF9xX3fJb+MvpA8D7zC5wusJHQJBMf4qppSfvoHXO54YYwp+FUdmJxDvysUeThzgpc7hS8jy
eTeTjPKi3F7rL32dKVZ77dLqAK/cYvN36pQwss+9WD8Vh3HIxU5tlARCVuC929SsKM7fJwPyt6hO
rVOWv5AuUEswY/olWs4pprWOaOrckbfblwk5b9lb+bcWMHhtbdNmH6sIODNn8wGkAzshJIMzzNpW
YRN9qg4kfkgC48BVhCLhJldT7U8fasV1ppkKRR+kGN52NPobh5NSJXCPB62oXNzbcBuknV/grQI7
NTeWYfhV3fqukWvh/QVefxJtAU2HIVAHApqwUi1EP05wQZrxsz/jdf3LNDbyi+CXy7iO2C3fjEdS
+61yw3hAfmwllhpbH0qe1sfDvQa3SWVcvYZTus+SZJ7hCk9PJvrdyrfVQXya8AEFjSpH3ukjX+sD
RSVaBXYY7ceH+lYYUXhdLfXQmPF2iv6qDNjeCuEmQi68ngHOjFvwVrqWAjbLOL1MceCtePt/wauF
dK43FPWaWGq2oNJN7bMX//bhYhTZYi0NfE2BipoD9Z8aQZyMbuCtXZ6DN2UqFcVmvPjmiKhbnYuE
I0MtvvI5OqTHdXe1Lwl9HeJY9EESdH3BXd8mgU+D7MDxldYF0c4c7hT/ruSL4cpur/AmrL2BN/an
aFYa4bPycuWCy667dFpqEVrhDRK7uYb4GbQCrf8F8gWVDd7KiXw9Sn8To482ixry8U9di0K+YQz6
8xv9JeRxfVLydf0BeTI+11vdENkZOfGZr7h6AVm+mAO4fpovPcVUSpxv13iNGU9pJqWgH35Ik7t2
t6qzmPQBAWuBvd1FYLUKGGGlzazXMN7z2Yj66iPXgNQhJXgRGdQMXueao8CTIi+Ze8KyeB4Px5Or
FT0IryU7duPayhe8SnadIqtI47JlhelVP+ufpDArvNJZcBda8NZ6AD0cofoXeBMHU3UP3rrw2RzK
gVpY6spfUMrTi1y+BC8pHPFvlqayiWpF+5Fvq0Jd/2vALf8pHzIT4H17Y6bG69aKP7qrzTXzUCxc
z876AF6FlPEXxpp/TjCjDsSYDpEtX+rrs1RLGRBvCdh/MsqTqC/u7QqvQ0n3Km7hjcP4Cu8j+uAU
JNIcR6ZOkPOsD62yKG109494od/W3yUMdo2vhiaTzDtpjCaEMW7oQ9J9dnFjIWqqaHSJUIOaknE9
Y9HfgXct3UhYZzDJF8Nb8NrQRth+VryqDSoSceOR4ynY96FizE2Fp8oT2c8PGqhgV52NekjebOa4
whteWAkYMQdvTaAFL7Wd6C/xs2cmz2eB1f72BC/lgltx03LjWMUPVcrLMrM6wJeyWlThJt5oguDq
+3oyGX5ovOhvalHJ34K3wkr5E/Udk9FEY12GShuujzXeEJpTDGwqWlx4kybV5JT04V/44VsLdMUM
E2T5t6nyYEgu/ZZ8Gy/xA6d16cZDobSRDbCDmEHdFuhFGRUoDGlWGlnro5wvRR+koSVQ8C4/TIhX
+cUWL3JO1C51Vy+8EsYKJaHiooeKe2Y+owToQTXHCQwL6+XSBEt6TtsHXsOdFaAe55v8W/R30WA/
Hq6td4ZJH4BA4/WCIyVDDjNMulBmOABXyVJ4vQmfL71j4fQX1duYBlEHXkuUsWyWMQ3keoYFb2E4
9GEJzxovq7lLvlIMYvngDSmEcqdDIuxuRBSiGDkejhKbqY2U2BEFRWwK/u6vWR9CBwveSdSA9fKU
8oEDr4t9pb+1U1BqU5zy26vHkcs7QLmL8vqSMygwOrONl72g2DLGWpHGm6Y84JlaW118ZsAWK+gW
AbcROt6pBvKEt6hh3K4Dv8xyFeF1Q5vPWYk2bBG8SyfZuEwQUgj7ini3KDH92sxLgBj5TkY14W3K
sKb4FFhbPvoBrHZv+aK5qf05rjeVnLId/Cp1C7l1BaXkW+ptxVA3uCAaZY4xV5lpxf3u14J3dsGI
mieCl4R4VUyd8dLAAi8lYiuwd7We8A4x0xGgiB19mPB6c7DiQYIdn1xcM8Uo8G/wRr5osvHa2MFb
2cXEaSv5ln8T4IH3HIW4VgfUcqW/6RqQE9Gt8F84aEKdxg5C1mwlLit9KP3tNbBZi0R2IT5DJVp/
vabbZcDURwqvzO2TE7a79lTxor2QBfpQ/QmLNpQWUyTkcW0/AYQ1gmtAoZ2wUpUL13dW+luEOy3a
xX+EH7x2yToMEwdvSv8TXl8Rn+RZ7rVqUvRk2/SwJdxHOGKNl2EvCNi6mrOg/+28M/r777HtDV2A
vlZrjMtba0kSRbTkboU3ejtg64EWz/t41aXtiGeFl6I1G1K1fIvp/ER2D8TKCDlyXi7NGrDn2sUP
A2/RRDMuQWTHlu6zCO834x3RZEId8OabFcRLyNjPyDMJQx8WqnCHrVpas3h57MTPfoGwl+lbRJyZ
z8RAu1+NN6aW3DIaO9ZOebYzFSCJWM9KLRxKDkVwWh+8kkWWY2jAsIphxWKRFq5gjXfS3+xlxiwD
0xooVJWDM8os/R14ow+9YGr8YHHiiympclck3wtnhRffzGG8Pk4nj3V3iplYvfGOhQxbe8uwZvpw
HtIIRMauefWMd00NITWwG66+Qg6wFau/ksm3vdHGCF6mcw1Yq/H4lPo34+3p1IE3hCaA1QcuvGCk
i2E/7cFrze8cLwVtIl6EmzIJ4g1JFTmwm0orLlFENmvj0HYZWXGoBbpwZ7L5IjGsbVSAFz6LYRVe
eth3GlLEOVYxzSIu+XqThGYG2ChBmme8FDX4yHP2xyiES20rvN5E1NM8/tLL4S/ZyQiAyTUTPCx4
OyuqeBPmSg/NneTRfU7dNyeM/moV3kwNTfhvYoOql9UpeCszp/2FF7mm1xaklrLxVunQM5P2T0VN
UUDh7fhxod8iLkk0nT9SoOKWbi6ZwaUZ6MOCt0iiNwKjX9w04ZLrhxeGrsW7wau9+8Cr8V82TMgQ
QXOF8auLHW/R8UOiOFxDyTdRTnavjVvkBWKfRb4JdKOoNFje4S5ZGoCRdTQz45Hl17byNT+wvkwb
WRNCFN7iCm9KS0sOl9furfW3x4DBq81BBhfWI8+XTPpQcl5GD0uZo75mst7aaFR2Fn3wNJpGd4rP
hPfR2Q2DprTZw23B2y1PAoSK0DJoa3UwA9Paarw1R8fo4g28hLoIesFrnvimoVpPx/lqFyPQlqkj
+tv8a0KzR6YHaHNpvK6hB2RIrACHIGplJnMwU7BEbqQvzo+38q2L31Fl5UPGK0PDF2jnCbviyd54
zF7Dx+EvpA+Mt4C3aMJFSuGlvFo6u6T5xsuWex77kcuIfC31/Dl3ZRTe9ZptfEQ5t/jlRX8NVjr8
zbcjQ6gMmcEP/sreyEyqWb21rXLwwg/JPy1oqwgPZ4OLMj9lNZijtKRt0YiiQt5rizdmVZzQvjl+
I9ZmdaA8vcKbrpCF/JDfGm8KuhVqBa/0t/EuZl8ErCeE16NZqIMD4Vqr5UgH4PDDSr6OZdZwR0Ch
FQTg/Vzw0g9i7nPgZbstFgQ7u4l8GQvofNnP9ahM8VoKFEmNHKJlV0qyeqf3PcWjxeKOz1aVsjjg
VQDcgKXA4M0YIjAZ7NQDpK2Iyg9FDIkLtEgavF7ezV47ua6Nl59mfigJog3ubaVeiccZsyqT/nY8
Sf/yxqEgp5afSyFKrGu87us/a1GsJ528is4bviDfpLoVYpnaSCVr8HrwGQ88q4fFMfAv3sNUe5Gf
fvlT+pCoodPgK7zJiFDgT3p0VT9t+aK4jn010XS5aB/MhACJeBwwONA2bNyVZOXRqcI78ZnxmgPH
GKQjdyTMkDuvQb7NAXg2a+9GvlX88Xrj9m0b+VYo6YXh3v0uQYs8Mo6CjMLmkxKVIdBnW6rATQH6
ztaztdCIfbyI7vB3tlblx9LfACatdfKw1Qd6WsRnioLddXX9lN2gaBFibw59NTujRU+e7ZakdUYX
9g9hpTkpWcnXxhcvMRAXvbEYR5gwuNzapHZv4qwNGH4YFJCAoW6sioaEynJGr5+sIXLwm3mJQwYn
ih8kCtHCRXsZeeMrZaTCC93k3quN14vbBt5VSm998MQkt61Fper2Bb6hHqsRFNAveIdaTPJd0jmL
/8V7cOEO6GpHf1NGoykv8XpH+1TioRJSEjGcRwsrhI0+zOKdStmqodm7+X8GkGpKK9sLOUsO/w4B
TwHDFUX42ibyilsDbwQMZiXz3mpu7C3VA/os9K7JwtjZWIRcxDeV3jWfVjuMUkCVdqT+m9V84DX/
Fritpa1+flfBBLzQw8DrR9KD3PBWpDeYRn9bJ2gH49UhSRGshkO+1uGVfFmn4hG93JUnfYxANl3A
ZxUuWFNXUl3D1y+zb1jhlYnVpJJmPLJRhuW7uBfr77sUQi+Rw5sLrDUrU9o7ajxOLt3DzH1jqPWE
V8JxzKj/Url6gAzem+4Cs6OJ7E5L5JuFC8Jd+wHptciXWBQVdvrPtgu+DR9t5NQRSn0HYH5mJqpv
sxCA6WV4to9tFXUS8seLTME71Hn6RdFEYKzxSnVd1CHJdqY/0idvm8gOLbzEQ3vgNfGXPlRFteXr
iQf2fe6FVll2RfMlbS1pxk/uBrzW3/Z2a5MzrSG5nuj05pj0AIYWvdveohjWDY+IUnRzdiTvShhp
g+thryREiz6AV5NoEW6vxCtvQ+voa7xb2wsG/Qte0jd8R6lsqM+LaOs0vYeV/aH1wTMyHQAL7yoA
XmqULjmMrdVzF5mElRQBrRfab/tavmV1C21spN9wg1eASmOp9NUi8FJbMQN0pn3iN3hXDjkTt/TG
a9Y/exImUPLhsNL54Fa+Eo4rveGmJRIqksq3Ctc9Zekp0BiYf5MNTfxT1aTCDC48+o6yVTdBvlVA
mQmYx7WC2IJNUh9GYxGq2WKLt4e3AObOyZrheHakF/g36g2vrvtKWZMLAVsP9PkKHoTY07usxKjy
Ph34JeIJAaMXrC2DbPEb1OhrFRRtxC1eAjQ6FpHldSyMvXU6xAoXhPnx/k2qMDZfdoLhjSR8p0uW
iWuueuDVUFfh7QpER5e+i3P5M98dJC4uYXuo7QqvZlOJdgvvDat7qyk+lmRgb+zn7EiMH5JudhbH
ymHB1pxy2MFfbTp5CDc4flMYhHz7tjEVoBH5oj107h/Un1/xmSW14d01q8klTHhNFHX9X99J2/Jl
JJ117zLLl2A9zJBBh46Aeb6LVCt+kNUxTEB3FpdhvJM/e//QtmXprwDzBnTRahdJEvcUOGVC3pR8
7AvdTzMKqzzfeDurZ/0iJBwyY/dBpo6mHcGsDNlZ04zGLulSlX9n//btXQmP9KGaQuoJbIWLGyi8
WZmXDcOjritNYJeqyNd6bMtJiuGhRNcu28iY40vR3cXpyk9ovThghyYcCmOJG7w2bAzuqyjim9U3
UXrhHRLlFpBVfGB34uT1JWAaF60Pzn0nvKRJ/pklZA0Y0SZ+sNtgxZjjyUmGDsDkQIvNroVrVibf
TIEa4NwJO3YGXql0dgsP3tqh0TtEtZmJtDpDh3Ot0pavlw31hikVj1UrjvsasKD/5xavS9LgvW12
7zG3xqsHSinY8p6y8CJhIwnmEIQbyuUnJrwdPCB55n6nu/05yvFNspjdcF5IP2stX2dePFNeLqKe
Urwe8u3VvNmgPxvqB22EO/ByS0rdTymGEz6j3E9cWcFO97BMwDVRkvABBrbyyn0wfxa8BejF2gDe
l8+KvDPaM+hY1Z3wmasOPJjYlnsxlOoiXMsX8eqvXOinOQBetLfq1HqUuzczTNsMnA0HEkki3xlv
qeqL55UdZL9o3LAFn92M/FNK1gvenpwE5eAyeCLi1TdtwsMG7b4jlSruxf0bvCqblS9zSNkGx44D
2d4B8rU+tL0FnDsqSWl1FF7lxVYIWhlLdkG5LO4ih7m37Kx3oIrN6X/tMWJmTY1H8hWAkm/NeaUm
5Nu3sMgtx9ijryDbAOCzxWG4Sewc/MVAKtRxQS0HqUKpQ69GL/WNkwszRCNKvnofDXibJyJAWka+
ZdTQB9gBvLlvz2PtvRXiDXD0GLz/rPAm1tJ2vZZYhZXADF4rS9Mv943IiF/fW2ToRLZGbIVgWUTu
HuFatf55h9oAxuyElwuvgiGaEwZOTah2E68Kq+KdNT9Q1auKdHeyqLDSH3A9amQXWe2f5nzfnqHA
q3kxBMy+GK4y0d7KboOOC1YGl7vNbfGypDNhMMs77S/WfOY5knTPdAxSYIZAEYU1O8l86DdlKW4X
Roi2SDrS9YaDWcfmC57M0dVrW/sab92tmD9e5MvkXLa5oMTp2vvavzm58GqcwpuczAdzGhY9xb6q
Twdv4OoQXrYqNKsdnvquss6FnJEThOMxdI01udX6S806N0PTpoYT3hBZ8BKewW//aqfx6Qher8DT
XRSHp8jwur92MarbLSnuZAPOhAuhsuyxmD1SHusW2TRamUG1ryrV9Z9QXxgk1gOIRWKZ7Ev8S3/o
Bt441uTDKalZhUVr7gyVOnT32HgNat6m1zm60zY2+fEetc4UI19GZm1NODpcMLq7WUPsZ1KeTF7k
rCj55govY4dJv6jcDc/H3IMgg7d7hInTSqLZRW9s/RfNZRmmgxVlXlnfJuhVLSXl9CT99qYgTb+u
6GQxKTs1EXNu5KsxApcVHQyEwxbhm89ejNdHWprhh0YpKS9b/8XSdPMZRStmhogv+a5dqxGY0rwV
3xd4Sd/swqme0Il+2N+SL3FWgp4Aroceqp3hZvcS8VkkzL2LIQZdZUJv32wSg0ElEwtgbjwmXPAM
6ryvQGsxZ1dUxou5Q6HwrvTX4xnVgx9RmysSHaSpETuJt/D6omNijdcjLI6zTJhp9nDEX3UeRnPO
iVAnOhPSrvl6AXXCNUjCqf3u52GyN1U/q4v5cZ0YE14U3tGOhYjZpyGS1Od7BpZkq4EGbRrv6cQR
eIG3Njxd/ekKebSF2pSvyO73jJdmoe1t6rnMKixvEfmOdmzwLvdJ9szDzQ9f4TUDZ5u5+dZCsy4s
j+tuaY7PjPfXCm+2kp6Kdmuya7xlcVU3EV47ztsf188aL47V3bgkkVRVr3ls8z5dqtYZmh+KzzQO
FfKiY3Wjg5zC2ogfoYfwg/f4iwLcOuZnUQfshgb8/ybf4GVPFb/w537WX8c0MrgbLWTRmfBGHZrQ
FrzZT2beoGWSa7Q3n4p8vZWUAbuC8j/K15ElXLzCi4iZ4Vpzb0URTjpWeCtP1nAnLbOviHTUyxPv
OIzFJBmt/y96RNjueE54LZPfs3w7S8s8DD81rxH1LPWQ+Ivq0wsvWLuTc6WBXXRsvDXikJUL/0Xv
65Zu3nLdXPG5tjcknDafp+XEFTPgFm/cW/CyvtQCsMWvri4lZwRZeGnVk27q1Gi6UsL742HXyGaC
yUfX/ItEmTy0gKUYiiyrU0WsNuPNHYSTKRf5TnhNv6aDuKhSFHSBgFLeoma//4TXqoL3Nua88lp/
3eSJBvt2TafT6FVN5raRL+W6OIv2ZWhcRbDWArTUVVQUOPegxCX/QbxoQtyQc2tPU8i/bfVXY+pZ
yFJxe+m0T2Go74IXqmDDY9+DdOyEk6A1ecyiEITdCJm7PfoFf9aGTucJOAh5bG8b15u0spO43OFL
buTjU9snzuww1g0F7z4bs5SA2Xs0KS2dVZ723vas4RZK9hz5whdee4wEwX77zz3V06UoVWlw481A
+ruWzn5+RL4R7nIH7JKvt+QQQeWzIlREaaMugyN38xruwrvaUeu2tyniJrpLvWTvtdFTpMuc75Bv
mmtvF6H9yJYLdQy8GTWyaL1Dc+9BhWQzd4bBdAxbBOHS1H8lXjxMn0bVgSXfeIcFci2yyAy17pbn
9WznT+1H2l2WtXypBCcuNN7ENTgyLz6veJCxMkJ0J7uuPv1veLWX/7BgLhl4U1oYLSHIrKyL9p+Q
em/VoQsGrFuN9bosihyWr0c2iFYJdGlLxIXgnQqv79dgffjaE0+Cd0o8Olzw+E/flSVJ++Ld0vS1
skq+ruloj5BszuZJncQ4BTfipSICXo8LVWxQeHMGMbfwg/FWqelPvgJrZBINk2Bu1XjnvLLdRfED
0y3eeIOqWUbssTbd3G0M21sZ3CcBL34gsYzxVqBJJFR4PVBrh8HU0x/CHfLjsExOGVH/1h2LLNuS
rxcJUReBH3xnCuUcKTp0Hs+N8rzTZFYV8kMKOMZLbElJJoDj25jKIaEhrbHDYNyUhGkr43rC1Svp
GP4xb2G8n7kJ3dTRpGqapN47FUiVXdMxMtUPo7kGtjAF7Ou9cCxgVe6CNz2zUmCDzriqD6e8Mj6s
cvExV8j1Lqp5sRQnp+Qmxm/wzjFw4gc3WT9ZIGA/592SHSfoXl0h3xlv7ecvkekXLpuWo+hBRDTa
X+oEGi83uvBZlU2RN8+HttniArbTts7LX6wPqmUMCmhHa8+PZZszbxnnSp2BWoxDvnHGXDFvs1cb
0yTnobCTnUmM13+HgK2QPptaKa/CTQg6AdIArTPUZ3XPPnR8A+8LY0WeJMuAgCdevKO8765tlvU/
3Wiu/JzL5jR7fZPYGS8CBZx7E45Y2CEjPhq87PyV6hnvwG/mAN4UObeMBPkW3tQgWKgik/MWFBSp
Lcl+wztvhRVPQatUoO+EV9fOUjJOmwfNCmej+3QviuHAy41yoMKMg0b2voSLi9A7uD8wgqJb8rXK
ZkkNHKzdY8QC3u/QJEWZm4vv+/oxkuqKkunMeB27J0tDTMGb15gIGi81sXsPd6JcRRqG7Wx0CNgE
5vPtDZhtcDfyCwU/Cddrz2rrg9YpSIRGR8FDr7Q+aPlCO2PqYv702nkN/bAnk0HR2Qn8itacm2r/
OavVfGSt5ly/iJ7MeezHup6apN5LnChdU1G3IGEetuUQz/v6lD5gfNxhR1Aykdl5BQGrLQq88RcI
viaJdJeqGa+1y/eXZnn3AjF/3Kwh/r3G64yIQag4Du9OXYvDiGuS06rYwvw35BAegDvcqHD9NE7Z
OmqM4Y/cpoUsR8pqd+IRZ96mZ569LrZ4pP3MzMtf4WXLihoyJT7IYjZ3Hjy1VNfICSbmQTXDy/X1
l4nP2Gx9wRsnp9HrCa+9nT1Qpofb0WMnZmh/1I2KRuvDPGViRUCLw2YhAWyHJSZe7fVFkUwuGUdk
/WQD7aKoFGlyIzhnG5YvplRyJXjKWK63yopVY7ZbZ31Df7UexDMQVK69kkVvUtk01u6UVed/O9wm
oAyo5trUp8Fb6pt9R5FAu520GQAclrDB9IzGjFl4p2Qors5db+SrWyVas7zTQWbJ8VAZt6s3mcwX
zXCC0Yl8/PIiouSe7ccsYL95CnH0nSqqMi2mMLiiBj5R268vW0SVZ679mByymx6NN5fIV7CdaskM
CJNPItDN1STsmUNGTJ1Izb/0u0W+DTUbZoE9xMkbTRkGeEnf18MZ7gQ5r/dNi/WWVdd3gAc/4DiD
lw7kLMMoag5/J9Spg3C28DrdNdsZsOsuOvCp/k5bjy1p42jUPEp4oS/ZbnuNl1pkNgDRahU3HDMe
mG1axKcegI9QbXkrvDmJNjSW5g64Bp/InUjc3XqrWyJpgFZnijqtu99x9eHjnHnfTmIOKb2y2xkc
BSkiErSfYFUSqdJNLpR1rC7ayLQWS0ON1nj7qtBBKby2tJJvIhc6ZVTm/JnBm1TF221fl3trvw2Z
HJfGepCiiIya3c1GQV1xg6kJtR2Z4ZCvL8qgvkg1V9ZuC5fZaWvrQ3f/rCCYXfYzqTKR5KsNc6Z4
3Vzh8Uk7DMo6jEDWxGXWQHhjqsXsKzyPM4pplK8oGmVFUA48cf6Oyphdu5tMdVuHhIS0T+rI7m/w
fx27V7YnGCF7V3qswHRfzhqG1fsm8CP+89YDk8qiycwpILtRNxtKMQoj9iIEL2XxWrjlDCKEENUd
gWylkG5lJ6TSp9DV/Th7nqh4t/a1oaia1qzuk+rGn/aNJXLmi1OvcZUp48ID/i94V0fWP0W8aMJQ
Z0eh3lh4i7elm6yXNBdhmS+kv1eyTRVY/oLOS91Jdrlz3MF30Kwu0yLPGqdwIW+RbGx0iq5c1q74
xd0eOcq4ipZvCXmNWJBZuuj0b8a7yuPci/cgz0s2wazpFr+zHnrrpMjJXAMfT3gBnE0DkUn9pUUP
3pIxDMkSJANe7kIAWLZDoKybcX3fYYjhSsn3i0E+R+3QcM+b1NyhVgN5u9GgqHjWviHG377CoYb5
2sXe2CBe2n8Wn+x09DGbdYO3ABdawObQFojp83jGSnizjUY6K5Plvb8Ybu09GB/oQ8UIyunTHDTB
Lp4Lkoo+dOnJCQ4eoqYIuCBOhxysq1EOP8QRD1roz6rtPT617rlGdI7Cm+2YWspdRaONwfnF1fXe
II4pLLVSiNT9HY9Xo4erbLwBTYZMyBbpJ0iEfu9kxFkS7ETcqLn4fGh/Wn//dCdFfxG8AezArMs8
DJWMK2J9Gu8gwkhCmxgxXSyyyzBArK0yd/DyS7tBn0oyULy5b9/NLUoM1OKtjQ9v4I1Wakda4x3y
WwdqjRf1X07YC/n3mnEZVt8RWNXCLOzBEGu8Kd65cJYpCM1ycK8l7+yOcKNxr1LZq+Pt05CNl0uQ
5NK4FpbIq+eL40vw9io2lt4teCusZnypir8NOOk86orKpuf28JCZLXkhbmGkEf+6lvnEa7SFBLy4
FW+pssJry7v1Oj3pzWFOpxGW4toJClLlnf1FNwQoT5M/1/hcnJ5TaK/6q31lvwDaZlfyxSyHri7F
4C8A69VOkrw8jCp1dqY30BRiWh38LGNjWJi9XOpruMgpJt6fvSDBWuCxXUctt8Wrho/WeTn+nbjO
sc9Mx9NLx+5BumIO4x9l1peji19KwBe8lbfF3rA2UHuKgACHZH3OIn2fYrET7BBK/Qqvzgn9NW/5
b2pOcqoFT69d3oXIQntHS+nkd1g6QZvFhsRFNtIsJA8XsGJTW427SDSih44i9OcH74iaoMwExYfe
vLiR78J3uffYEqzxg19cO2hy4n29/DJaMK7+uFSAe3fGyf0KAFwL4L15q+6Z457MNV6XjWvLbwTH
WF4+dHsY7+UK7xRG+KXmhOnIT8bqEisp+MmL8YTStR0bfW737H1Us/qm7rnALWgWsY5IjZoy+1Bn
PCubrt06jPfceHNm695s7em3xcvbkrZU2UB4FY6ccoMdXfi0bXOTyb7TpNeDNSuM8DK0ol8ctayG
nWYzevEVo0W+SAxVWGVxJdjtq7tb4ODaHU/5KImIJFx3aYelfPPsOpIfODJPOkV6XKWxTEeQFmn4
FoLwQW10HBN6ecHG2zPfizJALgQ8q7Mt2VL7qSjEfQ1ufKDbA/b9Reu2CclKXINOLd2ZjcOizoiI
RinUOvgTsQXxLN4N3vOx92/c9OmZ1zB3+DplC1gUt3tHlWqVWihs8S06Bt5c8S7euq7dR+6ClBpV
l1Y9Ieg3qlmLDeCBPvJtxt1qb43FxGTrNT6BqhHYLXbGRS8Ry2PHn6tiYCSrf+kh4BF7yIBugfBa
wFkkHiHfUGHjPSveCR4b6OjJ4nBgOhxPxcETVrLDzhFTPzC1aWM5EdRVVTGJarpKLoOYoruR6NIn
o61qSQ0Bf4lX8q2wSODmdSxRhmDuqMdx9Uq8SLjLXmkkuzCGPaVSlWrJ3QONCtcjoUC6EilFOI8z
jTDw/hrAhF0z2UfYka/dmp3bums4bmBZgPn75UZZXSSgrFin4I0MXcBVHL5X7yKj7N5X3T6EEXdX
BKq3678jgqdQ7yiIGfJx05UswuOoR24EgTdQt1SGZUW2LkXwyiHbUdSYU9tYlEIK9jQ8PEtDSLnc
a6sqmZQ4qaWVx6kzWVwA15qC2mVtrb4seCy8034Ks2vrPc6hZw9WWsBL8aWSrUWN6SumPeXJe8mT
iQQ3U+ErJvOPzjDRIQFGJ1IJL8Bex1ESXuFN6hO83k53lcmXiRL+1MUgVyoVqu59V4yGyJPmMntf
613Ob6oZmH3tb/2Lk9alB27tkJYuGUXEIDZg9yI6ppljgcb7bV5w2siJkcwKxsmTC6P1wAHll1AE
GW4BlpABrAhO2OSkpQ1SDaUSZ0f6XR3TKxTckR9ZwKUOFrDHAsrOhxIDUtU8yVfQruWLkYYH88vp
+swSnvWBzQrGgapyCxhFjG4tHnLzH7IZRsYE2DEQN7AsgqjVwAPw9LmUnKwPK/lWHQLWhpi36Vz7
uFFCXCSMq7NIka60uNa9+JILmERrvJ0eSN/YxuJx+L5ajqYXjztJLSyByD6Dd2VmN2UN+lbh8sqL
BjP/1YrsOyx5RY71FDfC7IRa0LqBtVPbtgOxo1/k25JnOQH6S1xnxNyQxRaUi1uX+LjCG7brox7V
kobmQml9i3iqx6SUGEOyIiuJjU67bGNPO9RpyinfvJuFANeiqIEX0E3EWb3ty2yLMt5hUMmdBhOX
amQ2fMBdyDvynYzPeFPXmIrkoNY9YtZ8mp+aJ7K4ZCopzoArqcsy0sLLKqGhqmvPkZUj7WhC3HGX
7a6pvCDf4Neuj9yUqw/hnQTc78Trq4WaW7Kjv8WFXqOIu1qimgVvReqIduPmtL6UJBB3sQxbx713
FTCEwQ3JjYbMrkMhdFRf1rWFnP9QeyvtRrzlOYYSm6lavnkvoaHttmG3bAdRRcHZMhcdSeXKBQIu
3hIl6wxUNBDeNEzXSsWERfHhaoXioMTlDm5+pQFbHzoOmzRsatEiSa8YuGbpFYKJov0wWhxxW/b5
21Kr+lt+ipn2UlWgSt1bL5r9igQbr2Pc1IS6GNxOAh5xLnyFdz49/1HbZJ0rkgMhmXT7SVAPBqKJ
GtWZPM1Zq8AGtaHDVX/6fJF8qe9YDBmrJVBe3hC8FhZRz3zoz2+UEUHIn+mGCGYxdro+a7+mev3m
TVolaolrUGvQuH3HMxIuqn8rvKX8XlU65cjN1ERlnkVbA96ULvn1SnheleYyMxMZVogOwdenTZBa
qWuRA+uYiy6eL7KK4pEV3qTSUbPlIIwDb5hs+g1UM9Q2Dqh+japyl3QWpLp2petXXLiCG20r7zKv
ZA5gqwW6GzV/kz6cquI/JXklp0ZuwIa2PpUK5AO41B3Q9YxxfKrbwe1dRBMLQaxOrSYeyaomHR6r
QfXcq+895t9fVO/j9kN1TFlp21uQJB5daW8Z/EZYM3oU/+0Talixb7vI5WKkM1nxnSOmrP+L0Tnl
SoRyvhwaL1CnHHrgLS12VjSw9XndBIueTlAmHmll25wrJ4R/rE6cjC9wx0J3PKf+oP3xNt/PJ9b7
DiUdKBJn3Dj6FSvO2iIeP+farXydXaHXu9pBV9yf8Cc2afnm5UW8y3s33pbW9KlX3DaQJ5rqcGM5
Z1Q/4i0ht6z7Y7IVnOXomxPSUdUuDKXRZB2aJhLeI7f7uimC5p8RfW5sZivfCcJQ0UWW9WjGO50m
uUz8woe8YdYiLDuLRMLKAeOP4zH6WP80aGp1Tl8qQ65wXeVZpWblLcEvb9J3EzJzmTytyUN7+4Fz
Vt2Yu2aSrr45ZL0t+C+U96ZG/+HJjavTX7r8m6zKVQq4YUQWsPHjLq5uilV7oipD1TWVrIHa+XxQ
qzHAvn5QhTJlbKmZjQm+zd9/ISZ90jIZX/VBvYXvweg5jN2vX79///v79y8dv+vQj+vjn5+/f/78
x3/y69c///z6/fPff3/pj/79V6/Ufz781e+T///b8f339+8//9/Pj+8fPl75Og4C6XH0SFqd3v8B
e4SAQv8RomgAAAAASUVORK5CYIJ=

------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image006.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image007.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image008.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image009.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image010.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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=

------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image011.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image012.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image013.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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=

------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image014.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C92D56.42AE5B10
Content-Location: file:///C:/0B4C22D4/CharacterStudyWebquest_files/image015.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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