简介：ROOTversion3(spring2001)supportsautomaticclassschemaevolution.Inadditionthisversionalsoproducesfilesthatareself-describing.Thisisachievedbystoringineachfilearecordwiththedescriptionofallthepersistentclassesinthefile.Beingself-describingguaranteesthatafilecanalwaysbereadlater,itsstructurebrowsedandobjectsinspected.alsowhenthelibrarywiththecompiledcodeoftheseclassesismissingTheschemaevolutionmechanismsupportsthefrequentcasewhenmultipledatasetsgeneratedwithmanydifferentclassversionsmustbeanalyzedinthesamesession.ROOTsupportstheautomaticgenerationofC++codedescribingthedataobjectsinafile.

简介：XMLSchema它所提供的丰富的元素类型和强大的类型派生机制为XML的应用奠定了扎实的基础、但是XMLSchema复杂的类型系统让众多的用户感到难以学习，本文尝试时XMLSchema类型系统进行系统的阐述，以使用户能够容易地理解XMLSchema。

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简介：在这篇论文，我们建议一个新关系纲要(R纲要)到XML纲要翻译算法，VQT，它分析价值集的势和用户质问模式并且由在用户询问使用在列和equi加入特征之间的外国关键限制的集的势性质提取含蓄的参考正直。VQT算法罐头把提取暗示参考正直关系信息用于R纲要并且当期末考试结果，创造一个XML纲要。因此，VQT算法阻止R纲要是不正确地折合当翻译代表结果，XML纲要，和它丰富地并且有力地由创造一个XML纲要在R纲要表示所有信息XMLDTD。

简介：Depression/anxiety-relateddisordersandpsychosocialstresshavebeenimplicatedascardiovasculardisease(CVD)riskfactors.Womenareatconsiderableriskforaffectivedisordersandreportgreaterseverityfrompsychosocialstress,comparedtomen.Affectivedisordersandcardiovasculardiseaselikelyshareunderlyingpathophysiologicalmechanismsthatarepotentiatedamongwomen–especiallyyoungerwomen.Environmentalstressorsthatthreatenthesafety,security,andstatusofanindividualareappraisedbythebrain,producingacascadeofevokedphysiologicalandcognitiveresponses.Intheshortterm,theseprocessesovercomestressors,butcomewithlong-termhealthimplications.Chronicpsychosocialstressleadstoadysregulationofthestressresponsesystemsthatcanleadtoaheightenedstressappraisalschemacalledtheunpredictabilityschema,aconstructthatmightarguablyplacewomenatheightenedriskforCVD.

简介：Athree-stepXMLSchemamodelingmethodispresented,namelyfirstestablishingadiagramofconceptualmodeling,thentransformingittoUMLclassdiagramandfinallymappingittoXMLSchema.Acasestudyofhandlingfurnituredesigndataisgiventoillustratethedetailofconversionprocess.

简介：Currently,schemaintegrationframeworksuseapproacheslikerule-based,machinelearning,etc.Thispaperpresentsanontology-basedwrapper-mediatorframeworkthatusesboththerule-basedandmachinelearningstrategiesatthesametime.Theproposedframeworkusesglobalandlocalontologiesforresolvingsyntacticandsemanticheterogeneity,andXMLforinteroperability.Theconceptsinthecandidateschemasaremergedonthebasisofthesimilaritycoefficient,whichiscalculatedusingthedefinedrulesandthepriormappingsstoredinthecase-base.

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简介：Wepresentthesolidmodeleditdistance(SMED),apowerfulandflexibleparadigmforexploitingshapesimilaritiesamongstCADmodels.ItisdesignedtomeasurethemagnitudeofdistortionsbetweentwoCADmodelsinboundaryrepresentation(B-rep).Wegivetheformaldefinitionbyanalogywithgrapheditdistance,oneofthemostpopulargraphmatchingmethods.Toavoidtheexpensivecomputationalcostpotentiallycausedbyexactcomputation,anapproximateprocedurebasedonthealignmentoflocalstructuresetsisprovidedinaddition.Inordertoverifytheflexibility,wemakeintensiveinvestigationsonthreetypicalapplicationsinmanufacturingindustry,anddescribehowourmethodcanbeadaptedtomeetthevariousrequirements.Furthermore,amultilevelmethodisproposedtomakefurtherimprovementsofthepresentedalgorithmonbotheffectivenessandefficiency,inwhichthemodelsarehierarchicallysegmentedintotheconfigurationsoffeatures.ExperimentresultsshowthatSMEDservesasareasonablemeasurementofshapesimilarityforCADmodels,andtheproposedapproachprovidesremarkableperformanceonareal-worldCADmodeldatabase.