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át |; âs ƒC ãt …û äu |9 ås |? æu …ù çt |M èsÅ |= ét |Q êu |K ës ^Æ ìy |O ít ^Ø îw ^Ò ïw ^ß ðz ^» ñ{ eŽ òw ^Ó óz e� ôn e’ õn e” ön× e– ÷no e˜ øn eš ùn eÆ úw ^· û{Ý ^É üwo eÈ ýn eí þn ‚€ ÿ| eÊ nã eÌ no eÎ n eÐ n eÒ n eé n eë nv „ì | | } „Ú n. {ó w |H w ^¸ x ƒ7 w |5 w {ã w� ‚Î w „$  ƒk |2 ‚‚ | ‚„ | ‚† | ‚ˆ |… ‚Š | ‚Œ | = | „î | „ð | „ò | „ô | „ö | „ø |µ „ú !| „û "| } #~ n‡ $w ‚ %w „D &w |� '~ zó (w |³ )~Å |~ *w ƒF +~ u ,w ƒ¸ -w ‚á .~ }? /~ uµ 0w …i 1~ …h 2 …¿ 3 …Á 4 …0 5w }D 6~ |D 7w×õÒÒdŒ ^÷yÆ?A±ÝdŒ ^øyB²eÊn©ÿþ¶zcz٠Щÿþ¶ )Ú �eë` DZ| This query }ýΩÿþãzezÙ wΩÿþã *Ú �w` ű�Locates documents that contain ýkÁÿþ¶LzizÙ Áÿþ¶L +Ú �  ÉÓ=(international OR @ ÉÓeconomic) AND NOT market |þÎÁÿþãLzkzÙ |ÎÁÿþãL ,Ú �w  Ƭ9The word ÔÒ¬internationalÕÓ¬ (or variations) ~ Ƭ8and no mention of the word ÔÒ¬marketÕÓ¬ (or ~( Ƭ8variations), or the word ÔÒ¬economicÕÓ¬ (or 6 Ƭ'variations) and no mention of the word 7wD@ ÆÔ%Ò¬marketÕÓ¬ (or variations) Æþ ÿþ¶"zozÙ  ÿþ¶" -Ú �eÊ ` ËÒ"Japan" AND NOT "China" ÐÿÎ ÿþã"zqzÙ ëÎ ÿþã" .Ú �ÿþ  Ȭz4The word ÔÒ¬Japan,ÕÓ¬ but no mention of @ ÈÔÒ¬ChinaÕÓ doÿe]ÿþ¬zuzÓ ]ÿþ¬ /Ô ‚` ͱ This query  ÉÄ]ÿþízwzÓ Ä]ÿþí 0Ô ‚` ʱLocates documents that contain Úuÿþ¬hz{z Ó ouÿþ¬h 1Ô ‚on  ÏÓ ÆACCRUE (computer, @ ÏÓlaptop) Õ ¬Äuÿþíhz} z!Ó oÄuÿþíh 2Ô ‚  ̬va;The word ÔÒ¬computerÕÓ¬ (or variations) or the %Ò Ì¬ (9word ÔÒ¬laptopÕÓ¬ (or variations). Documents ( ̬Jthat contain both ÔÒ¬computerÕÓ¬ and ÔÒ¬laptopÕÓ¬ 6 ̬(will have a higher score than documents D ̬Ú3that contain only ÔÒ¬laptopÕÓ¬Ñeven if ¬R ÌÔt 2Ò¬laptopÕÓ¬ appears several times in the `@ ̬ document. zÝÿþ¬>z�!z "Ó Ýÿþ¬> 3Ô ‚ q  ÑÒÿþcomputer ACCRUE laptop Ó@ ÑÒACCRUE desktop 0Ô ÄÝÿþí>zƒ"z!Ó oÄÝÿþí> 4Ô ‚  ΰCThe words ÔÒ°computer,ÕÓ° ÔÒ°laptop,ÕÓ° or Ó Æ ÎÔ, 6Ò°desktopÕÓ° (or variations). Documents that ( ΰ)contain all three words have the highest 6@ ΰscore. ;Th o±ÿþÉz‡#z$Ö s±ÿþÉ 5× ‡¬` Ó®r This query Doc ná±ÿþÐz‰$z#%Ö á±ÿþÐ 6× ‡` бLocates documents that contain e t  ÉÿþÉ>z�%z$&Ö aÉÿþÉ> 7× ‡  ÕÓÒfinancial management a@ ÕÓn company AND executive staff me  áÉÿþÐ>z�&z%'Ö áÉÿþÐ> 8× ‡  Ò¬ Ñ#Both the phrase ÔÒ¬financial  Ò¬UE management companyÕÓ¬ (or ( Ò¬.variations) and the phrase ÔÒ¬executive 6@ Ò¬ ÎstaffÕÓ¬ (or variations) , ÿþÉ>z“'z&(Ö ÿþÉ> 9× ‡io  ×Òt AND (January sales, co ×Òrdfinancial management (@ ×Òsccompany, executive staff) áÿþÐ>z•(z'Ö áÿþÐ> :× ‡r  Ô¬n#All three phrases specified in the  Ô¬;query: ÔÒ¬January sales,ÕÓ¬ ÔÒ¬financial do( Ô¬in!management company,ÕÓ¬ and z6@ ÔÔ.Ò¬executive staffÕÓ¬ (or variations) ±ÿþ­z™)z*Ü ±ÿþ­ ;Ý } ` Ù® This query Ö űÿþìz›*z)+Ü Å±ÿþì <Ý }` Ö±Locates documents that contain com yÉÿþ­0zŸ+z*,Ü tÉÿþ­0 =Ý }  ÛÓfoffset printing OR ns) ÛÓdesktop publishing OR (@ ÛÓlaser printing 9× ÅÉÿþì0z¡,z+-Ü aÅÉÿþì0 >Ý }na  ج9Any of these phrases: ÔÒ¬offset printing,ÕÓ¬  ØÔBÒ¬desktop publishing,ÕÓ¬ or ÔÒ¬laser printingÕÓ (@ جra(or variations) he ùÿþ­0z¥-z,.Ü rùÿþ­0 ?Ý }  ÝÒge("Helvetica" AND  ÝÒ"Times") OR ("Palatino" ta(@ ÝÒri AND "Times") þÅùÿþì0z§.z-Ü þÅùÿþì0 @Ý }  Ú¬ qGEither both ÔÒ¬HelveticaÕÓ¬ and ÔÒ¬TimesÕÓ¬ or @ Ú¬8both ÔÒ¬PalatinoÕÓ¬ and ÔÒ¬TimesÕÓ in m¿ÿþØz«/z0ß ¿ÿþØ Aà ‹` ß± Û This query pri nð¿ÿþÁz­0z/1ß sð¿ÿþÁ Bà ‹×` ܱLocates documents that contain Éÿþ ×ÿþØ>z±1z02ß ×ÿþØ> Cà ‹ff  áÓprices PARAGRAPH generic @ áÓinbrands ¬ ð×ÿþÁ>z³2z13ß Øð×ÿþÁ> Dà ‹  Þ¬+Both the word ÔÒ¬pricesÕÓ¬ (or  Þ¬ Ývariations) and the phrase ( ÞÔes0Ò¬generic brandsÕÓ¬ (or variations) in es6@ Þ¬the same paragraph Ü ÿþØ0z·3z24ß ÿþØ0 Eà ‹Ò  ãÒ¬PARAGRAPH ("FDA", "approval", @ ãÒ Ú "timely") ÒðÿþÁ0z¹4z3ß ðÿþÁ0 Fà ‹  à¬(All three words (ÔÒ¬FDA,ÕÓ¬  àÔry=Ò¬approval,ÕÓ¬ and ÔÒ¬timelyÕÓ¬) in the (@ à¬àsame paragraph  ±ÿþ­z½5z6â n±ÿþ­ Gã ”` å± This query Cà űÿþìz¿6z57â Rűÿþì Hã ” ` â±Locates documents that contain ×ÿþ Éÿþ­"zÃ7z68â Éÿþ­" Iã ”Ó  çÒSENTENCE 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`@,ß;Ô}ß;ÖIndexùq{j–~•—€—¬ùq‡‰ûs{l—–˜€–˜¬úûsˆŠûs{n˜€—™€—œ¬ûsVàq{p™~˜š€š«àqkâs{r𙛀™›«âsmâs{t›€šœ€šŸ«âsm× voß e¨œ„›�€˜¬ × voß –ä²× ƒ�ß× voß× }HÔì— voß e©�„œž€žŸ .ì— voß wÿù ƒò— ƒ�ßò— voßì— }HÔå voß eªž„�Ÿ€�Ÿ @å voß €�¯ë ƒ�ßë voßå }HÔå voß € e«Ÿ„ž €›«å voß € �žØqˆ{z ~Ÿ¡€¡°cØqˆ Ús†{|¡ ¢€ ¢°eÚs†Ús„{~¢€¡£€¡£°gÚs„ýÿewnP> `@ e­£�¢¤€¢° ¥ýÿewnP> `@ÿå€-Ìýÿe€-ÌÖ Main Menu}Pq{�¤~£¥€¥­~PqùRs{ƒ¥¤¦€¤¦­RsûRs{…¦€¥§€¥ª­€Rsûq<{‡§~¦¨€¨±~q<às:{‰¨§©€§©±s:âs8{‹©€¨ª€¨«±€s8âY× voß e°ª„©«€¦­ „Y× voß × oßY× ƒoßY× voß_× }8àq e±«„ª¬€©¬±„àq™Ÿùq e²¬„«­€«­±Ôùq–œPq e³­„¬®€¬±�Pq¤ªqP e´®„­¯€Š¯¼›qP’•kqi eµ¯„®°€®°¼kqi‹�Øqˆ e¶°„¯±€¯±¼ Øqˆ £àq‡ e·±„°²€°¼¡àq‡§­Øq‰ e¸²z±³€º» ¢Øq‰ cMah ú¬ ^ Vq‡ e¹³z²´€´º Vq‡ dh ý¬ i jÀqj eº´z³µ€³µº jÀqj e±h ¬ j qQ e»µz´¶€´¸º qQ fªh ¬ k ßÀq e¼¶zµ·€·¹ ­ßÀq g× h ¬ l ±øÀq e½·z¶¸€¶¹ øÀq hh ¬ m OÀq e¾¸z·¹€µ¹º OÀq i›h ¬• n ßÀq1 e¿¹z¸º€¸ºßÀq1¶·qÐÀ eÀºz¹»€²»qÐÀ³¹q] eÁ»zº¼€½¾q]²ºq\ e¼z»½€‘½q\б@\†À eýz¼¾€»¾ @\†À‘¼@]ˆÀ eľz½€@]ˆÀ»½dŒ _D¿yÀÈ´zµÕ€À @À _KÀ…Á¿ Õ€À @ÀÕ€ÀÕ€€áÀͲ='K eàÁ†À¿ÂÃ='K-¾]Ô `@ eá‡ÁÿÁà -¾]Ô `@-¾f“•-¾f“•Ö·='K eâÇÂÄ¿='KÁÂ!žúw¿« `@ eãćÃÅ¿ÅÆ !žúw¿« `@/ôzß;!žúß;ÖMoreqV eäÅzÄÆ¿ÄÆ qV jµh ¬T o qV eåÆzÅÇ¿qVÄÅùq eæÇzÆÈ¿ ùq k²h ¬À p ¹Pq eçÈzÇ¿ Pq lzh þ¬ y dŒ ƒ‰Éy»Ê˵À¼J˜€ ƒŠÊzËÉ J˜€ my( ¬YY •ou  –use — text retrieval operators to create complex queries that can help you @ ¬À=be more specific about the information you want to retrieve. 3UT UTªª` 1´`@!Help on text retrieval operators Gÿþ 2¬¾OFor information about the operators used in text retrieval, select an operator w¿Uÿþ@ 2¬‡!name from the list on the right. ziÿþh 3¬Mo?For information about writing queries, click Ühe ˜re¬. }ÿþh 4¬YFor information about using operators in text retrieval queries, click Üher ™e¬. ‘ÿþ` 5¬ Õ€ À @À ƒÕË…ÊÉ Õ€ À @ÀÕ€ ÀÕ€€áÀͲdŒ _LÌyÍѶJ˜€ _MÍzÎÌ J˜€ Ô n ( ¬Q ~Use  the ACCRUE  €operator to locate documents that contain information @ ¬3matching any of the words or phrases in the query. t r*( %¬ tNACCRUE differs from the ÚO �R¬ operator in the way FrameViewer scores 8 %¬maAdocuments located with ACCRUE. Documents located with the ACCRUE iF %¬ÿþHoperator are scored based on how many of the words or phrases are found alT %¬orHin the document. Documents that contain all the words or phrases in the 3b %¬ioKquery are scored higher than documents that contain only one or two of the inp@ %¬Twords or phrases. „ &¬ cJWith the OR operator, a documentÕs score is based on how often any of the ’ &¬€@words or phrases from the query occur in the document. The more _L @ &¬.occurrences, the higher the documentÕs score. z¦@„ `@ k®ÎzÍÏÌ z¦@„ `@z¯z¯°Õ€À @À ~äÏ…ÎÐÌ oÕ€À @ÀentthÕ€ÀÕ€,€áÀ$Ͳ!žúw¿« `@ „ÖЉÏÑÌ o!žúw¿« `@/ôzß;!žúß;ÖMoreqV „×ÑzÐÌ RqV oh ¬do š dŒ |¥Óy ÔÕ· %J˜€ |¦ÔzÕÓ J˜€ "Í n UT UTªª@h '´oc Examples ‚ sáÿþ` (¬th oÕ€À @À ƒÛÕ…ÔÓ oÕ€À @Àd hheÕ€ÀÕ€,€áÀ$ͲdŒ j9Öyר¸as. J˜€ j:×zØÖ J˜€ #( qf ( ¬ &R ƒUse „ the AND  … †operator to locate documents that contain information  ¬ceImatching all the words and phrases in the query. Documents located using $ ¬`@Ithe AND operator are scored based on how often all the words and phrases 2 ¬€Iin the query occur in the document. The more occurrences, the higher the @@ ¬ß;documentÕs score. ]UT UTªª@h )´zExamplesÛ ‡  ÿþ` *¬ Õ€2@ @À k*Ø…×Ö Õ€2@ @ÀŒÕ€2@Õ€AáÀ9M²dŒ ‚ÇÙyÚÛ¹ J˜€ ‚ÈÚzÛÙ J˜€  r( ¬€Z ŒUse  �the NOT  Ž �operator to locate documents that do not contain the words or  ¬j9Hphrases in the query. All documents containing information matching the z$@ ¬query have the same score. 8` -¬EYou can combine the NOT operator only with the AND and OR operators. tUUT UTªª@h .´atExamplesÛ � Õ€DÀ @À ƒÝÛ…ÚÙ Õ€DÀ @ÀntsocÕ€DÀÕ€S€áÀKͲdŒ iÜy ÝÞºor aJ˜€ iÝzÞÜ eJ˜€ ). s, ( ¬V zUse  {the  |OR operator to locate documents that contain information matching  ¬@Kat least one of the words or phrases in the query. With the OR operator, a áÀ$ ¬HdocumentÕs score is based on how often any of the words or phrases from 2 ¬Fthe query occur in the document. The more occurrences, the higher the @@ ¬NOdocumentÕs score. ]UT UTªª@h #´ t Examples } aïÿþ` $¬ Õ€Z@ @À k2Þ…ÝÜ Õ€Z@ @ÀinfmaÕ€Z@Õ€iáÀaM²dŒ ußy.àá»YoJ˜€ uàzáß eJ˜€ /4 tEx( ¬€H ˆUse the  ‰PARAGRAPH  Šoperator to locate documents that contain € ¬Ginformation matching all the words or phrases in the query in a single ˜€$ ¬ÞOparagraph. (A paragraph can be a heading, a bullet item, text in a table cell, V 2 ¬ORIor an ordinary text paragraph.) The order of the words or phrases in the @ ¬ oEquery is not considered when retrieving matching text. All documents N@ ¬do?containing information matching the query have the same score. frokUT UTªª@h +´ ExamplesÛ ‹ u ÿþ` ,¬ T mÔ€n@ @À uàá…àß Ô€n@ @ÀtÕscoÔ€n@Ô€}àÀuM²dŒ u³âyãä¼…J˜€ u´ãzäâ J˜€ 5: u( ¬S ‘Use the  ’SENTENCE  “operator to locate documents that contain information /4 ¬Jmatching all the words and phrases in the query in a single sentence. The $ ¬aiCorder of the words and phrases in the query is not considered when es 2 ¬siLretrieving matching text. All documents containing information matching the et@@ ¬abquery have the same score. ¬OR]UT UTªª@h /´exExamplesÛ ” ráÿþ` 0¬r  aÔ€‚@ @À uää…ãâ nÔ€‚@ @Àn rriÔ€‚@Ô€‘àÀ‰M²dŒ |Båygæç½thquJ˜€ |Cæzçå +J˜€ ;> v m( ¬R ›Use  œthe  �THESAURUS operator to locate documents containing information  ¬Hmatching the word or synonyms of the word in the query. You can use the $ ¬€ATHESAURUS operator with only one word at a time. (THESAURUS uses h2 ¬oEthe Random House Thesaurus, not the Thesaurus used by FrameMaker, to @ ¬ tJselect synonyms.) All documents containing information matching the query N@ ¬ whave the same score. kUT UTªª@h 6´deExampleÛ ž Ûÿþ` 7¬ie gÕ€•À @À ƒßç…æå fÕ€•À @À thetÕ€•ÀÕ€¤€áÀœÍ²±Á¾ dŒ±UTLeftdŒ²³ RightþdŒ³²€@ ContinueduädŒ´¿€ Reference rdŒµ¶ÉÀdŒ¶µ·Ì|BdŒ·¶¸Ó ContinuedthdŒ¸·¹ÖdŒ¹¸ºÙdŒº¹»ÜdŒ»º¼ßdŒ¼»½â dŒ½¼åcaA�Aæf™m° ßhCellBody. æf™n¬ �ßo au Body. æf™rÑ ß  CellHeadingm. æf™s± ß  CellHeading•. æf™tÒ ßCellBody. æf™u¬ �ßCellBody. À@v® ß ýó aB� U e } ™CellHead. æf™w¬ �ß  Body. À@xØ ßê ÔÑ Header. À@yØ ßê Ô Footer.  æf™z¶ß ™ RunningHeadß. æf™{¹ 33ã �t€ Title. 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