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简介：OPM05-M2100,thespecificRAPDfragmentofBursaphelenchusxylophilus,wascollectedfromagarosegelsandpurified.Then,thepurifiedfragmentwasinsertedintothepGEMR-TVectorthatwastransformedintoEscherichia.coliandclonedandsequenced.BasedonthesequenceofRAPDmarker,thesequencescharacterizedamplifiedregion（SCAR）primersweredesignedbytheaidofthesoftwareOligo5.0.TheforwardprimerisM05F2（5’-CGGGTCATGGCTGGAGGTATCGT-3’）,andthebackwardprimerisM05R1(5’-TGGCTCAATGGCAAATCCTTCGTA-3’.Thespecificfragment(OPM05-M2100)wassuccessfullyconvertedtoSCARmarker(SCAR-M05-X600)byusingM05F2/R1,whichwasthespecificmarkersofB.xylophilus.Then,theDNAof92isolatesofBursaphelenchus,B.mucronatus,B.hofmanni,AphelenchoidesmacronucleatusandSeinurasp.whichwereisolatedfromdeadpines,weremarked,andtheDNAofasinglenematodeextractedwithasimplemethodwasdetectedusingthissetofspecificprimers.TheresultsindicatedthatthePCRproductofall81isolatesofB.xylophiluswasaclearandbrightfragmentabout600bpwithM05F2/R1.ButeightisolatesofB.mucronatus,oneB.hofmanni,oneA.macronucleatusandoneSeinurasp.hadnoanyfragments.AssayM05F2/R1alsosuccessfullydetectedsinglepinewoodnematode.Therefore,thespecificpairwiseswouldbeusedforconstructingidentificationkitsofB.xylophilus,implementingtheaimofquickdetection,andachievingthepurposeofidentifyjuvenilesuccessfully.

简介：在靠近范围的摄影测量学，3D信息获得基于图象匹配。代码标记的应用程序帮助改进自动匹配和匹配的精确性的水平。这份报纸调查惯性椭圆算法的应用程序编码标记匹配。我们能与某个边界计算一个目标的惯性椭圆。首先，方法被用于一个单个代码标记；角度并且可伸缩是有效的。然后，纸介绍多编码由惯性椭圆匹配方法的标记。旋转和同形异义图象的可伸缩的变化能被惯性椭圆算法计算。这些参数能被用于在任意的态度匹配靠近范围的摄影测量学的代码标记。

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简介：基准的标记基于的扩充现实有许多应用。到目前为止，基准的标记的内部模式总是被用来编码标记。因此，基准的标记图象的大部分被用于编码而不是为姿势精确性提供相应特征点。这篇论文论述直接利用的一个新奇方法射影不变在相应特征点的位置的关系包含了编码标记。建议方法不为再编码要求模式图象的区域并且能提供更多的相应特征点以便更高的姿势精确性能容易被完成。象累积分布函数，设计确认和柔韧的过程那样的许多相关途径被建议克服敏感的问题射影不变。建议基准的标记系统可靠、柔韧的试验性的结果表演，和罐头比由存在基准的标记系统完成了提供更高的姿势精确性。电子增补材料这篇文章(doi:10.1007/s11390-007-9100-0)的联机版本包含增补材料，它对授权用户可得到。

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简介：express the meaning of the original. Free translation is a skill which translators must know the culture of both source language and target language,translaors should use free translation. Free translation is a translation skill which is active. But free translation can not add personal emotion to the original works. Translation must be acceptable which use free translation. And free translation skill needs extensive knowledge and culture of both source language and target language. If a translator wants to use literal translation and free translation proficiently,Any source language which does not accord with the expressive way of target language should not use literal translation. For example

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简介：express the meaning of the original. Free translation is a skill which translators must know the culture of both source language and target language,Any source language which does not accord with the expressive way of target language should not use literal translation. For example摘要,translaors should use free translation. Free translation is a translation skill which is active. But free translation can not add personal emotion to the original works. Translation must be acceptable which use free translation. And free translation skill needs extensive knowledge and culture of both source language and target language. If a translator wants to use literal translation and free translation proficiently

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简介：Afreestandingfilmofpolyanilineaslargeas18cm×18cm×0.002cmcanbeobtainedbyevaporationofasolutionofthechemicallysynthesizedbaseinNMP.Itsstructurewasexaminedbytheelementalanalysis,IR,U.V.-visiblespectra,XPS,DSC,SEMandX-rayscatteringanditsconductingbehavioraswellaselectrochemicalpropertieswerestudied.Resultsshowthatthecomposition,structureofmainchain,physicalpropertiesofthefreestandingfilmofpolyanilmeissimilartothatofthepowder.However,somedifferencesinitselectronicstructure,conductivityatroomtemperatureandpotentialofredoxcouplebetweenthefleestandingfilmandpowderareobserved,whichmaybeduetocross-linkingofthefilmofpolyaniline.

简介：JohariceofAssamisaclassofricewitharoma,goodcookingqualitiesandexcellentpalatability,whicharegrownindifferentplacesofAssamwiththeiradaptabilitytolocalsituations.Atotalof143simplesequencerepeatmarkerswereusedinthisstudytorevealsufficientgeneticvariationsamongthe40Johaand14non-Joharicegenotypes.Polymorphisminformationcontentofthesemarkerswerefrom0.17to0.88,wheretheaverageof3.7alleleswereobserved.Themodel-basedpopulationassignmentanddendrogramanalysisidentifiedthreedistinctgroupsinthe54riceaccessions,whichestablishedaclearidentityofJohaaccessionsfromtheBasmatiaccessions,indicatinghighdiversityandstrongpopulationstructureinJoharice.Furthermore,atotalof29significantmarker-traitassociations(P<0.05)for10charactersweredetected.TheQTLsrelatedwithyieldandgrainqualitycanbeusedeffectivelyincropimprovementprogramsandforfurtherfinemappingandvalidationofspecificgenestodevelopgene-basedperfectmarkersinricebreedingandforminingofbetterallelesofthesegenesinJoharicecollections.

简介：Phospholipidsareamajorkindoflipidsinricegrainsandhavefundamentalnutritionalandfunctionalbenefitstotheplant.Theirlysoforms(lysophospholipids,LPLs)oftenforminclusioncomplexeswithamyloseorindependentlyinfluencethephysicochemicalandfunctionalpropertiesofricestarch.However,thegeneticbasisforLPLsynthesisinriceendospermislargelyunknown.Here,weperformedapreliminaryassociationtestof13LPLcompositionsamong20riceaccessions,andidentified22putativemain-effectquantitativetraitlociresponsibleforallLPLsexceptforLPC14:0andLPE14:0.Fivederivedcleavedamplifiedpolymorphicsequencesandoneinsertion/deletionmarkerforthreeLPL-synthesis-relatedcandidategenesweredeveloped.AssociationanalysisrevealedtwomarkerssignificantlyassociatedwithstarchLPLtraits.Theseresultsprovideaninsightintothegeneticbasisofphospholipidbiosynthesisinriceandmaycontributetothericequalitybreedingprogramsusingfunctionalmarkers.

简介：Microarraydataareoftenextremelyasymmetricindimensionality,suchasthousandsoreventensofthousandsofgenesbutonlyafewhundredsofsamplesorless.Suchextremeasymmetrybetweenthedimensionalityofgenesandsamplescanleadtoinaccuratediagnosisofdiseaseinclinic.Therefore,ithasbeenshownthatselectingasmallsetofmarkergenescanleadtoimprovedclassificationaccuracy.Inthispaper,asimplemodifiedantcolonyoptimization(ACO)algorithmisproposedtoselecttumor-relatedmarkergenes,andsupportvectormachine(SVM)isusedasclassifiertoevaluatetheperformanceoftheextractedgenesubset.Experimentalresultsonseveralbenchmarktumormicroarraydatasetsshowedthattheproposedapproachproducesbetterrecognitionwithfewermarkergenesthanmanyothermethods.IthasbeendemonstratedthatthemodifiedACOisausefultoolforselectingmarkergenesandmininghighdimensiondata.