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------=_NextPart_01C570BC.F6F57090 Content-Location: file:///C:/0496448C/ChangMartin_News_Release_Flow-through_Metric_Module_final_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C570BC.F6F57090 Content-Location: file:///C:/0496448C/ChangMartin_News_Release_Flow-through_Metric_Module_final_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" News Release Flow-through Metric
 News Rele= ase Flow-through Metric
4Chang Martin LLC
4
I’m Dr. Ernest Martin from Chang Martin LLC. We are excited to present to you the Investor Public Relations Navigator System (IPRN System).

This section is about the News Release Flow-through Metric module.

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4Investor Public Relations Navigator = SystemTM=  <= /span>(patent pending)
The IPRN System is a series of data processing, calculating metrics to provide directions for effective strategic communication with investors via traditional and on-line media.



------=_NextPart_01C570BC.F6F57090 Content-Location: file:///C:/0496448C/ChangMartin_News_Release_Flow-through_Metric_Module_final_files/slide0034.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" News Release Flow-through Metric
Investor Public Relations Nav= igator SystemTM (patent pending)
Key message strategy/pre-testing
<= /div>
Retail Investor Media Relations Campaign
Institutional Investor / Analyst Campaign
Key Message Coherence <= span style=3D'position:absolute;top:87.75%;left:75.09%;width:18.16%;height:4.0%= '>Metric
= News Release = Flow-through = Metric
Dashboard
Investor Wave Timing
The retail investor media relations campaign is conducted based on the invest= or wave timing and tested key message.

Now let’s talk about the module for determining how much information from our news release gets through into the news article.  This is about constructing the news r= elease flow-through metric.
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New Release Flow-through
ŘGetting the message = from a news release to a reader or viewer via a news source is a strategic task for public relations practitioners.
Ř
ŘThe objective of med= ia relations, quite simply, is to affect media – to get our = skillfully crafted message into a news article or story in a comprehendible= way for the reader or viewer.
Research on News Release Flow-through
Getting the message from a news release to a reader or viewer via a news source is a strategic task for public relations practitioners. The objective of media relations, quite simply, is to affect media – to get our skillfully craft= ed message into a news article or story in a comprehendible way for the read= er or viewer.
------=_NextPart_01C570BC.F6F57090 Content-Location: file:///C:/0496448C/ChangMartin_News_Release_Flow-through_Metric_Module_final_files/slide0042.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" News Release Flow-through Metric
New Release / News Story
ŘWe have developed a statistically reliable metric = for measuring the degree to which a particular news article or story impacts a particular news = release.
Ř
ŘIt uses a statistical technique called latent semantic = analysis (LSA) to measure semantic relatedness of = news releases in corresponding journalistic = articles.
To be able to measure the degree to which a news release is included in a news artic= le, one has to go beyond the occurrence of the “exact words.” Rather, the contextual or semantic relatedness of the pieces of text has to be examin= ed.

We have developed a statistically reliable metric for measuring the degree to whi= ch a particular news article or story impacts a particular news release.

It uses a statistical technique called latent semantic analysis (LSA) to measure semantic relatedness of news releases in corresponding journalistic artic= les.

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LSA Background
ŘDuring the past few decades, cognitive scientists = and computational psycholinguistics developed LSA as a statistical model for comparing semantic = = similarity of units of text to each other.
= Ř
ŘOriginally LSA was designed to improve information retrieval methods by performing retrieval based on derived “semantic” content of <= /span>words in a query (e.g. “Googling”) as opposed to <= /span>performing direct word matching.
During the past few decades, cognitive scientists and computational psycholinguistics developed LSA as a statistical model for comparing semantic similarity of units of text to each other.

Originally LSA was designed to improve information retrieval methods by performing retrieval based on derived “semantic” content of words in a query (e.g. “Googling”) as opposed to performing direct word matching.

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Theoretical Background
ŘThe theoretical assumption of LSA is there = is some underlying or “latent” structure in the pattern of word usage across documents.
ŘMeanings of a word modify as we use a word = in different contexts. Similarly, different words sometimes have t= he same meaning depending on contexts.
ŘThe idea of latent semantic analysis is that the aggregate of all the word contexts in which a particular word does, and does not, appear provides a set of mutual constraints that reflects the similarity of meaning of words to each other.
The theoretical assumption is there is some underlying or “latent” structure = in the pattern of word usage across documents. Meanings of a word modify as = we use a word in different contexts. Similarly, different words sometimes ha= ve the same meaning depending on contexts.

The aggregate of all the word contexts in which a particular word does, and d= oes not, appear provides a set of mutual constraints that reflects the simila= rity of meaning of words to each other.

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ŘWe did four explorations in a study testing the feasibility of the metric.
= Ř
4 “News Release Flow-Through: News Release/News <= /b>Article LSA Metric”  Presented at the Association for Education in Journalism and Mass Communication = (AEJMC), Public Relations Division, Toronto, Au= gust 4, 2004.
In previous research, we did four tests of the feasibility of the metric. (Ernest F. Martin, Jr., “News Release Flow-Through: News Release/News Article= LSA Metric”  Presented at the Associa= tion for Education in Journalism and Mass Communication (AEJMC), Public Relati= ons Division, Toronto, August 4, 2004.)
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Ma= tching News Release and News Articles
ŘIn Exploration 1 we matched news releases and news articles written by journalists about the company. We found that the metric can score release/story relatedness on underlying semantic <= /span>structure rather than word matching.
ŘThe metrics were identical (cosine =3D .76), showi= ng semantic coherence, but the articles are written <= /span>differently.
ŘIt initially demonstrates that LSA can provide a <= /span>reliable metric measurement of relatedness of the = source news release to the target news article.
In exploration 1 we matched up news releases and news articles written by journalists about the company. The articles were written by the journalis= t, paraphrasing rather than quoting from the news release. We found that the metric can score release/story relatedness on underlying semantic structu= re rather than word matching.
The metrics were identical (cosine =3D .76), showing semantic coherence, but the arti= cles are written differently. The expectation would be for both news articles = to show up together in a database search.

Exploration 1 initially demonstrate that although two articles are written very differently, a reliable metric can provide measurement of relatedness of = the source news release to the target news article.
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Can It Identify Non-Related Articles?
ŘExploration= 2 probed the lower-end LSA scoring of semantic relatedness. The test was of known unrelated news release.
ŘWith c= osines of .45 and .44 the levels are below anticipated minimum levels of .60.
ŘMinimally t= his exploratory test points to the ability of LSA to detect non-relatedness of news releases to news articles.
In exploration 2 we probed the lower-end scoring of semantic relatedness. The test was of known unrelated news releases and news articles.

With cosines of .45 and .44, the levels are below anticipated minimum levels of .60.

This exploratory test pointed to the ability to detect non-relatedness of news releases to news articles.
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ŘExploration 3: LSA= can provide a useful relative score, showing the degree of semantic relatedness of a news release and a news article. =
ŘFrom t= he topic-related news releases/news articles selected, the range (.67 - .85) demonstrated a lev= el of discrimination of the scale.
ŘThis exploratory study had semantically related measures in the .60’s, .70’s and .80’s, tentativel= y defined as weak, medium and strong relatedness or = coherence respectively.
In exploration 3, we selected a range of news releases and news articles. We wanted to see if LSA could provide a useful relative score, showing the degree of semantic relatedness of a news release and a news article.
From the topic-related news releases/news articles selected, the range (.67 - .85) demonstrated a level of discrimination for the metric.
This exploratory study had semantically related measures in the .60’s, .70’s a= nd .80’s, tentatively defined as weak, medium and strong relatedness or coherence respectively.
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ŘExploration 4 demonstrated a range of LSA <= /span>cosines from strong impact (.86), to medium = impact (.72) and to weak coherence (.63).
Ř
ŘIt is clear from the exploratory study that LSA ha= s the ability to differentiate levels of coherence, = although, because of the limitations of an = exploratory study, additional research will be needed to verify and clarify LSA usage, especially= the gradation of cosine levels.
In exploration 4, we tested the range of the metric. The various news release/news article metrics ranged from strong impact (.86), to medium impact (.72) and to weak coherence (.63).

It is clear from the exploratory study that the system has the ability to differentia= te levels of coherence.
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Summary of News Flow Scoring
Source:
news release <= span style=3D'font-size:67%'>to be scored
Target:
news article on topic
Figure 1
News Release Im= pact Scoring Procedure
Release / Artic= le Coherence
&#= 13;
LSA
Matrix= Comparison
Doc - Doc
Impact =
Cosine:
  .90+ very strong
.80 - .89 strong&#= 13;
.70 - .79 medium= 3;
.60 - .69 weak = ;
=
Below = .60 minimal or no impact /coherence
The diagram of the news release/news article flow-through module is shown.
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Key message strategy/pre-testing
<= /div>
Retail Investor Media Relations Campaign
Institutional Investor / Analyst Campaign
Key Message Coherence <= span style=3D'position:absolute;top:87.75%;left:75.09%;width:18.16%;height:4.0%= '>Metric
= News Release = Flow-through = Metric
Dashboard
Investor Wave Timing
Investor Public Relations
Navigator Syste= mTM (patent pending)
The dashboard allows monitoring of the news release flow-thorough metric.
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I’m Dr. Ernest Martin from Chang Martin LLC. We are excited to present to you the Investor Public Relations Navigator System (IPRN Syste= m).
This section is about the News R= elease Flow-through Metric module.
&= #13;
The IPRN System is a series of data processing, calculating metrics to provide directions for effective strategic communication with investors via traditional= and on-line media. 
The retail investor media relati= ons campaign is conducted based on the investor wave timing and tested key message. 
Now let’s talk about the module for determining how much information from = our news release gets through into the news article.  This is about constructing the news release flow-through metric.
Research on News Release Flow-through
Getting the message from a news release to a reader or vi= ewer via a news source is a strategic task for public relations practitioners. The objective of media relations, quite simply, is to affect media – to get our skillfully crafted message into a news article or story in a comprehendible way for the reader or viewer.
To be able to measure the degree to which a news release is included in a n= ews article, one has to go beyond the occurrence of the “exact words.” Rather, the contextual or semantic relatedness of the pieces of text has to be examined.
We have developed a statistically reliable metric for measu= ring the degree to which a particular news article or story impacts a particular news release.
It uses a statistical technique = called latent semantic analysis = (LSA) to measure semantic relatedness of news releases in corresponding journalistic articles.
During the past few decades, cognitive scientists and computational psycholinguistics developed LSA as a <= span style=3D'font-family:"Courier New"'>statistical model for comparing semant= ic similarity of units of te= xt to each other.
Originally LSA was designed to improve information retrieval methods by performing retrieval based on derived “semantic” content of words in a query (e.g. “Googling”) as opposed to performing direct word matching.
&= #13;
The theoretical assumption is there is some underlying or “latent” structure in t= he pattern of word usage across documents. Meanings of a word modify as we use = a word in different contex= ts. Similarly, different words sometimes have the same meaning depending on contexts.
The aggregate of all= the word contexts in which a particular word does, and does not, appear provides a = set of mutual constraints = that reflects the similarity of meaning of words to each other.
In previous research, we did four tests of the feasibility of the metric. (Ernest F. Martin, Jr., “News Release Flow-Through: News Release/News Article LSA Metric”  Presented at the Associat= ion for Education in Journali= sm and Mass Communication (AEJMC= ), Public Relations Division, Toronto, August 4, 2004.)
In exploration 1 we matched up news releases and news articles written by journalists about the company. The articles were written by = the journalist, paraphrasing rather than q= uoting from the news release. We= found that the metric can score release/story relatedness on underlying semantic structure rather than word matching. The metrics were identical (cosine =3D .76), showing semantic coherence, but the ar= ticles are written differently. = The expectation would be for = both news articles to show up together in a database search.
Exploration 1 initially demonstr= ate that although two article= s are written very differently, a relatedness of the source news release to the target news article.
In exploration 2 we probed the lower-end scoring of semantic relatedness. The = test was of known unrelated news releases and news articles.
With cosines of .45 and .44, the levels are below anticipa= ted minimum levels of .60.  
This exploratory test pointed to= the ability to detect non-rel= atedness of news releases to news articles.
In exploration 3, we selected a range of news releases and news articles. We want= ed to see if LSA could provide a useful relative score, showing the degree of semantic relatedness of a news release and a ne= ws article. From the topic-related news releases/news articles selected, the range (.67 - .85) demonstrated a level <= span style=3D'font-family:"Courier New";color:black'>of discrimination for the metric. = This exploratory study had semantically related measures in the .60’s, .70’s and .80’s, tentati= vely defined as we= ak, medium and strong relatedness or coherence respectively.
In exploration 4, we tested the range of the metric. The various news release/news article metrics ranged from strong impact (.86), to medium impact (.72) and to weak coherence (.63).  
It is clear from the exploratory= study that the system has the a= bility to differentiate levels of coherence.
The diagram of the news release/= news article flow-through module is shown.
The dashboard allows monitoring = of the news release flow-thorough metric.
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base.all.tags(tag); else return base.getElementsByTagName(tag); } function UpdNtsPane(){ if(frames["PPTNts"]) PPTNts.location.replace( MHTMLP= refix+GetHrefObj( gCurSld ).mNtsHref ) } function UpdNavPane( sldIndex ){ if(gNavLoaded) PPTNav.UpdNav() } function UpdOtNavPane(){ if(gOtlNavLoaded) PPTOtlNav.UpdOtlNav() } function UpdOtlPane(){ if(gOtlLoaded) PPTOtl.UpdOtl() } function SetHasNts( fVal ) { if( gHasNts !=3D fVal ) { gHasNts=3DfVal UpdNavPane() } } function ToggleOtlText() { gOtlTxtExp=3D!gOtlTxtExp UpdOtlPane() } function ClearMedia() { // Clear any sounds playing before launching another browser window. Other= wise, // in fullscreen mode, you'll continue to hear the sound in the frames mod= e. if (PPTSld.pptSound) PPTSld.pptSound.loop =3D 0; } function FullScreen() {=20 if ( PPTSld.g_animUseRuntime ) PPTSld.document.body.pause(); ClearMedia(); var href =3D ( document.location.protocol =3D=3D 'mhtml:') ? FULLSCR_HREF = : FULLSCR_HREF+"#"+GetHrefObj(gCurSld).mSldHref; if(PPTNav.event.ctrlKey) { var w =3D (window.screen.availWidth * 1.0) / 2.0 var h =3D w * (PPTSld.g_origH * 1.0) / PPTSld.g_origW win =3D window.open( MHTMLPrefix+href,null,"toolbar=3D0,resizable=3D1,top= =3D0,left=3D0," + "width=3D"+ w + ",height=3D" + h ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } else { win =3D window.open( MHTMLPrefix+href,null,"fullscreen=3Dyes" ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } } function ToggleVNarration() { rObj=3DPPTSld.document.all("NSPlay") if( rObj && !PPTSld.g_animUseRuntime ) { if( (rObj.playState =3D=3D 1)||(rObj.playState =3D=3D 0) ) rObj.Play() else if( rObj.playState =3D=3D 2 ) rObj.Pause() else return; } else if( PPTSld.g_animUseRuntime ) { narObj =3D PPTSld.document.all("narrationID") if( narObj ) narObj.togglePause() } } function GetCurSldNum() { =20 obj=3DGetHrefObj(gCurSld) if( obj.mOrigVis =3D=3D 1 ) return obj.mSldIdx else =20 return gCurSld } function GetNumSlds() { =20 if( GetHrefObj(gCurSld).mOrigVis =3D=3D 1 ) return GetSldList().mNumVisSlds; else return GetSldList().mList.length } function GetSldNum( href ) { for(ii=3D0; ii 1 ) PopSldList(); else if( !IsFramesMode() ) { if( gLoopCont ) GoToFirst() else EndShow() } } function GoToPrevSld() { ii=3DgCurSld-1 if( ii > 0 ) { obj=3DGetHrefObj(ii) while ( obj && ( obj.mVis =3D=3D 0 ) && ( ii>0 ) ) obj=3DGetHrefObj(--ii) if( ii =3D=3D 0 ) ii=3D1 GoToSldNum(ii) } } function GoToFirst(){ GoToSld( GetHrefObj(1).mSldHref ) } function GoToLast() { ii=3DGetSldList().mList.length if( ii !=3D gCurSld ) GoToSld( GetHrefObj(ii).mSldHref ) } function GoToSldNum( num ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue obj =3D GetHrefObj( num ) obj.mVis=3D1 gPrevSld=3DgCurSld gCurSld =3D num; PPTSld.location.replace(MHTMLPrefix+obj.mSldHref) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function GoToSld( href ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue GetHrefObj( GetSldNum(href) ).mVis=3D1 PPTSld.location.replace(MHTMLPrefix+href) } function SldUpdated( id ) { if( id =3D=3D GetHrefObj(gCurSld).mSldHref ) return gPrevSld=3DgCurSld gCurSld=3DGetSldNum(id) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) } function HasPrevSld() { return ( gIsEndShow || ( gCurSld !=3D 1 && GetHrefO= bj( gCurSld-1 ).mVis =3D=3D 1 )||( GetCurSldNum() > 1 ) ) } function HasNextSld() { return (GetCurSldNum() !=3D GetNumSlds()) } function CloseWindow() { if( HideMenu() ) return; =09 var event =3D PPTSld.event; if( !IsFramesMode() && event && (event.keyCode=3D=3D27 || event.keyCode=3D= =3D32 || event.type=3D=3D"click" ) ) window.close( self ); CatchNumKeys( self, event ); } function Unload() { gIsEndShow=3D0; } function SetupEndShow() { gIsEndShow=3D1; PPTSld.document.body.scroll=3D"no"; PPTSld.document.onkeypress=3DCloseWindow; PPTSld.document.onclick=3DCloseWindow; PPTSld.document.oncontextmenu=3D_CM; } function EndShow() { if( IsFramesMode() ) return if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue doc=3DPPTSld.document var dir =3D doc.body.dir if( dir !=3D "rtl" ) dir =3D "ltr"; doc.open() doc.writeln('


' + ENDSHOW_MESG + '

') doc.close() } function SetSldVisited(){ GetSldList().mList[gCurSld-1].mVisited=3Dtrue } function IsSldVisited(){ return GetSldList().mList[gCurSld-1].mVisited } function hrefList( sldHref, visible, advDelay, advClk ) { this.mSldHref=3D this.mNtsHref =3D sldHref this.mOrigVis=3D this.mVis =3D visible this.mVisited=3D false this.mAdvDelay=3D advDelay this.mAdvOnClk=3D advClk } function SldList(arr,curSld,fEnd) { this.mCurSld =3D curSld; this.mList =3D new Array(); var idx =3D 1; for(ii=3D0;ii 0) { PushSldList(sldList,fEnd); gCurSld =3D 1; } else if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue } function PushSldList(arr,fEnd) { var ii =3D gSldStack.length; gSldStack[ii] =3D new SldList(arr,gCurSld,fEnd); GoToSld( gSldStack[ii].mList[0].mSldHref ); } function PopSldList() { if (gSldStack[gSldStack.length-1].fEndShow) EndShow() else { gCurSld =3D gSldStack[gSldStack.length-1].mCurSld; gSldStack[gSldStack.length-1] =3D null; gSldStack.length--; var sldList =3D gSldStack[gSldStack.length-1]; GoToSld( sldList.mList[gCurSld - 1].mSldHref ); } } var custShowList=3Dnew Array(); /********************************************* Navigation button implementation There are 2 types of buttons: ImgBtn, TxtBtn implemented as function objects. They share a similiar interface so the event handlers can call SetActive, for example, on a button=20 object without needing to know exactly=20 what type of button it is. **********************************************/ //---------------------------------- function ImgBtn( oId,bId,w,action ) //---------------------------------- { var t=3Dthis t.Perform =3D _IBP t.SetActive =3D _IBSetA t.SetInactive=3D _IBSetI t.SetPressed =3D _IBSetP t.SetDisabled=3D _IBSetD t.Enabled =3D _IBSetE t.ChangeIcon =3D null t.UserAction =3D action t.ChgState =3D _IBUI t.mObjId =3D oId t.mBorderId=3D bId t.mWidth =3D w t.mIsOn =3D t.mCurState =3D 0 } function _IBSetA() { if( this.mIsOn ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _IBSetI() { if( this.mIsOn ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0=20 } } function _IBSetP() { if( this.mIsOn ) { obj=3Dthis.ChgState( gShadowClr,gHiliteClr,2 ) obj.style.posLeft+=3D1; obj.style.posTop+=3D1 } } function _IBSetD() { =20 obj=3Dthis.ChgState( gFaceClr,gFaceClr,0 ) obj.style.posTop=3D0=20 } function _IBSetE( state ) { var t=3Dthis GetObj( t.mBorderId ).style.visibility=3D"visible" if( state !=3D t.mIsOn ) { t.mIsOn=3Dstate if( state ) t.SetInactive() else t.SetDisabled() } } function _IBP() { var t=3Dthis if( t.mIsOn ) { if( t.UserAction !=3D null ) t.UserAction() if( t.ChangeIcon ) { obj=3DGetObj(t.mObjId) if( t.ChangeIcon() ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-4)*t.mWidth else obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-0)*t.mWidth } t.SetActive() } =20 } function _IBUI( clr1,clr2,nextState ) { var t=3Dthis SetBorder( GetObj( t.mBorderId ),clr1,clr2 ) obj=3DGetObj( t.mObjId ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj= .style.posTop t.mCurState=3DnextState return obj } //----------------------------------------- function TxtBtn( oId,oeId,action,chkState ) //----------------------------------------- { var t=3Dthis t.Perform =3D _TBP t.SetActive =3D _TBSetA t.SetInactive=3D _TBSetI t.SetPressed =3D _TBSetP t.SetDisabled=3D _TBSetD t.SetEnabled =3D _TBSetE t.GetState =3D chkState t.UserAction =3D action t.ChgState =3D _TBUI t.mObjId =3D oId t.m_elementsId=3D oeId t.mIsOn =3D 1 } function _TBSetA() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gHiliteClr,gShadowClr,0,0 ) } function _TBSetI() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) } function _TBSetP() { if( this.mIsOn ) this.ChgState( gShadowClr,gHiliteClr,1,1 ) } function _TBSetD() { =20 this.ChgState( gFaceClr,gFaceClr,0,0 ) this.mIsOn =3D 0 } function _TBSetE() { var t=3Dthis if( !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) else t.ChgState( gShadowClr,gHiliteClr,1,1 ) t.mIsOn =3D 1 } function _TBP() { var t=3Dthis if( t.mIsOn ) {=20 if( t.UserAction !=3D null ) t.UserAction() if( !t.GetState ) return if( t.GetState() ) t.SetPressed() else t.SetActive() } =20 } function _TBUI( clr1,clr2,lOffset,tOffset ) { SetBorder( GetObj( this.mObjId ),clr1,clr2 ) Offset( GetObj( this.m_elementsId ),lOffset,tOffset ) } function Offset( obj, top, left ){ obj.style.top=3Dtop; obj.style.left=3Dle= ft } function SetBorder( obj, upperLeft, lowerRight ) { s=3Dobj.style; s.borderStyle =3D "solid" s.borderWidth =3D 1=20 s.borderLeftColor =3D s.borderTopColor =3D upperLeft s.borderBottomColor=3D s.borderRightColor =3D lowerRight } function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] } function BtnOnOver(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetActive() } function BtnOnDown(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetPressed() } function BtnOnOut(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetInactive() } function BtnOnUp() { b=3DGetBtnObj() if( b !=3D null ) b.Perform() else Upd() } function GetNtsState(){ return parent.gNtsOpen } function GetOtlState(){ return parent.gOtlOpen } function GetOtlTxtState(){ return parent.gOtlTxtExp } function NtsBtnSetFlag( fVal ) { s=3Ddocument.all.item( this.m_flagId ).style s.display=3D"none" if( fVal ) s.display=3D"" else s.display=3D"none" } function _BSetA_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etActive() } function _BSetI_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etInactive() } function _BSetP_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etPressed() } function _BSetA_BorderImg() {=20 b =3D gBtnArr[this.mBorderId]=20 if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _BSetI_BorderImg() {=20 b =3D gBtnArr[this.mBorderId] if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0 } } var gHiliteClr=3D"THREEDHIGHLIGHT",gShadowClr=3D"THREEDSHADOW",gFaceClr=3D"= THREEDFACE" var gBtnArr =3D new Array() gBtnArr["nb_otl"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPan= e,GetOtlState ) gBtnArr["nb_otlElem"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOt= lPane,GetOtlState ) gBtnArr["nb_nts"] =3D new ImgBtn( "nb_nts","nb_ntsBorder",10,parent.ToggleN= tsPane ) gBtnArr["nb_nts"].SetActive =3D _BSetA_BorderImg; gBtnArr["nb_nts"].SetInactive =3D _BSetI_BorderImg; gBtnArr["nb_ntsBorder"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.= ToggleNtsPane,GetNtsState ) gBtnArr["nb_ntsElem"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.To= ggleNtsPane,GetNtsState ) gBtnArr["nb_prevBorder"] =3D gBtnArr["nb_prev"]=3D new ImgBtn( "nb_prev","n= b_prevBorder",30,parent.GoToPrevSld ) gBtnArr["nb_nextBorder"] =3D gBtnArr["nb_next"]=3D new ImgBtn( "nb_next","n= b_nextBorder",30,parent.GoToNextSld ) gBtnArr["nb_sldshw"]=3D new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent= .FullScreen ) gBtnArr["nb_sldshwBorder"] =3D new TxtBtn( "nb_sldshw","nb_sldshwBorder",pa= rent.FullScreen,null ) gBtnArr["nb_sldshwBorder"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwBorder"].SetInactive =3D _BSetI_Border; gBtnArr["nb_sldshwText"] =3D new TxtBtn( "nb_sldshw","nb_sldshwText",parent= .FullScreen,null ) gBtnArr["nb_sldshwText"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwText"].SetInactive =3D _BSetI_Border; gBtnArr["nb_voice"] =3D gBtnArr["nb_voiceBorder"] =3D new ImgBtn( "nb_voice= ","nb_voiceBorder",18,parent.ToggleVNarration ) gBtnArr["nb_otlTxtBorder"] =3D gBtnArr["nb_otlTxt"]=3D new ImgBtn( "nb_otlT= xt","nb_otlTxtBorder",23,parent.ToggleOtlText ) gBtnArr["nb_ntsBorder"].m_flagId=3D "nb_nts" gBtnArr["nb_ntsBorder"].SetFlag =3D NtsBtnSetFlag gBtnArr["nb_otlTxt"].ChangeIcon=3D GetOtlTxtState /********************************************* Context menu implementation _CM() is the function that's hooked up to the oncontextmenu event. Once we're asked to show the menu, we first build it by creating DIVs on-the-fly. Then we position it=20 within the screen area so it doesn't get clipped. Creating the DIVs using createElement() means we don't have to write out any extra HTML into the slide HTML files. **********************************************/ var sNext=3D"Next",sPrev=3D"Previous",sEnd=3D"End Show",sFont=3D"Arial",sAr= row=3D"Arrow",sFreeform=3D"Freeform",sRect=3D"Rectangle",sOval=3D"Oval" function ShowMenu() { BuildMenu(); var doc=3DPPTSld.document.body,x=3DPPTSld.event.clientX+doc.scrollLeft,y= =3DPPTSld.event.clientY+doc.scrollTop m =3D PPTSld.document.all.item("ctxtmenu") m.style.pixelLeft=3Dx if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) ) m.style.pixelLeft=3Dx-m.scrollWidth m.style.pixelTop=3Dy if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) ) m.style.pixelTop=3Dy-m.scrollHeight m.style.display=3D"" } function _CM() { if( !parent.IsFullScrMode() ) return; if(!PPTSld.event.ctrlKey) { ShowMenu() return false } else HideMenu() } function BuildMenu() { if( PPTSld.document.all.item("ctxtmenu") ) return var mObj=3DCreateItem( PPTSld.document.body ) mObj.id=3D"ctxtmenu" mObj.style.visibility=3D"hidden" var s=3DmObj.style s.position=3D"absolute" s.cursor=3D"default" s.width=3D"120px" SetCMBorder(mObj,"menu","black") var iObj=3DCreateItem( mObj ) SetCMBorder( iObj, "threedhighlight","threedshadow" ) iObj.style.padding=3D2 CreateMenuItem( iObj,sNext,M_GoNextSld,M_True ) CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld ) =09 CreateSeparator( iObj ) CreateMenuItem( iObj,sEnd,M_End,M_True ) mObj.style.visibility=3D"visible" } function Cancel() { window.event.cancelBubble=3Dtrue; window.event.returnVa= lue=3Dfalse } function Highlight() { ChangeClr("activecaption","threedhighlight") } function Deselect() { ChangeClr("threedface","menutext") } function Perform() { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) e.Action() else PPTSld.event.cancelBubble=3Dtrue } function ChangeClr( bg,clr ) { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) { e.style.backgroundColor=3Dbg e.style.color=3Dclr } } function M_HasPrevSld() { return( parent.HasPrevSld() ) } function M_GoNextSld() { if( gIsEndShow ) M_End(); else GoToNextSld() } function M_GoPrevSld() { if( gIsEndShow ) { gIsEndShow=3D0; history.back();= PPTSld.event.cancelBubble=3Dtrue; } else GoToPrevSld() } function M_True() { return true } function M_End() { window.close( self ) } function CreateMenuItem( node,text,action,eval ) { var e=3DCreateItem( node ) e.type=3D"menuitem" e.Action=3Daction e.IsActive=3Deval e.innerHTML=3Dtext if( !e.IsActive() ) e.style.color=3D"threedshadow" e.onclick=3DPerform e.onmouseover=3DHighlight e.onmouseout=3DDeselect s=3De.style; s.fontFamily=3DsFont s.fontSize=3D"9pt" s.paddingLeft=3D2 } function CreateSeparator( node ) { var sObj=3DCreateItem( node ) SetCMBorder(sObj,"menu","menu") var s=3DsObj.style s.borderTopColor=3D"threedshadow" s.borderBottomColor=3D"threedhighlight" s.height=3D1 s.fontSize=3D"0px" } function CreateItem( node ) { var 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 No= tes
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