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简介：Thispaperconstructedportfoliosaccordingtothegrowthratesandtheirstabilityoffirm'stotalstockholders'equitypershareandnetincomepershare,usingallthefirms'informationofShanghaiA-sharemarket.Wefoundthatthemarketexhibitssomeoverreactiontothegrowthraieoffirm'snetincomepershare,andisn'tsensitivetothestabilityoffirm'sgrowthrates.

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简介：ThemainpurposeofthispaperistostudyaproblemrelatedtoGolomb'sconjectures,andgiveaninterestingasymptoticformula.

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简介：ＡＮＥＦＦＩＣＩＮＴＩＭＰＬＥＭＥＮＴＡＴＩＯＮＯＦＭＥＲＲＩＬＬ＇ＳＭＥＴＨＯＤＹＡＮＧＢｉｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｎａｇｅｍｅｎｔＥｎｇｉｎｅｅｒｉｎｇＨａｒｂｉｎＥｎｇｉｎｅｅｒｉｎｇＵｎｉｖｅｒｓｉｔｙＨａｒｂｉｎ１５０００１）Ａｂ...

简介：Let■Ω=Γ=Γ1+Γ2（seeFig.1）,meas（Γ1）>0,V={v|v∈H1（Ω）,v|Γ1=0},andV0={ω|Δω=hinΩ,ω|Γ=0,（?）h∈V}.LetV0′=thedualspaceofV0,a（u,v）=∫Ω▽u·▽Δvdx,andF（v）=∫Ωfvdx+∫Γ2g1Δvds-∫Γg2（?）ds,f∈V′0,g1∈H-（1/2）（Γ2）,g2∈H-（3/2）（Γ）.Considerthevariationalproblem:findu∈Vsuchthata（u,v）=F（v）,（?）v∈V0.（1）UsingTartar’slemma,weprovethatforproblem（1）thereexistsauniqueu∈Vsatisfying■

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简介：Inthiseraofadata-drivensociety,usefuldata(BigData)isoftenunintentionallyignoredduetolackofconvenienttoolsandexpensivesoftware.Forexample,weblogfilescanbeusedtoidentifyexplicitinformationofbrowsingpatternswhenusersaccesswebsites.Somehiddeninformation,however,cannotbedirectlyderivedfromthelogfiles.Wemayneedexternalresourcestodiscovermoreknowledgefrombrowsingpatterns.Thepurposeofthisstudyistoinvestigatetheapplicationofwebusageminingbasedonweblogfiles.Theoutcomeofthisstudysetsfurtherdirectionsofthisinvestigationonwhatandhowimplicitinformationembeddedinlogfilescanbeefficientlyandeffectivelyextracted.Furtherworkinvolvescombiningtheuseofsocialmediadatatoimprovebusinessdecisionquality.

简介：ＷＵ－ＲＩＴＴ＇ＳＭＥＴＨＯＤＦＯＲＮＯＮＬＩＮＥＡＲＣＯＮＴＲＯＬＳＹＳＴＥＭＳ￥ＬＩＳｈｕｒｏｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎｇ１０００８０，Ｃｈｉｎａ）Ａｂｓｔｒａｃｔ：Ｔｈｉ...

简介：TheanalysisandevaluationofanactualportsystemcontainingRdifferentship’skindsandNsubsystemseachofwhichconsistsofM.(i=1,2,…,N)portsarederived.TheexternalarrivalsofshipstothesystemcomefromRdifferentPoissonsourcesandtheinterarrivalstothequeueofeachportofasubsystemaredeterminedaccordingtoconditionprobabilities.EachporthasmultipleberthswhoseservicetimesaredistributedaccordingtoErlangprobabilitydistributionfunctions.EachportofasubsystemhasRinfinitecapacitybuffersforstoringshipsinterarrived.Thismethodprovidesagoodapproximationprocedureforobtainingsystemperfor-mancemeasuressuchaswaitingtimesofships,averagequeuelengths,etc.Optimumportcapacitycanthusbeevaluatedbyusingthisanalysis.Asimulationisalsopresentedtotestthisapproximateanalysis,andagoodagreementisobserved.Thismodelshallbeusedintheplanningofseveralactualportsystems.Throughtheapplicationofthismodel,itispossibletoanalyzeandevaluateperformancesofthesystems.

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简介：这份报纸学习毁灭的概率的完全的monotonicity在古典风险模型和古典风险为那建模被散开使不安。作为一个副产品，作者由于Loeffen(2008)在最佳的红利问题上把一个其他的证明给结果。

简介：ThispaperaddressesthesupplychainengineeringanditsapplicationinChina’sretailingindustry.Basedontheapproachesofsystemsengineering,weproposetheconceptofsupplychainengineering,whichappliestheideaofsupplychainmanagementtotheengineeringpracticesthroughtheadvancedinformationandmanagementtechnology,tointegratethesupplychainsystemandoptimizeitsoperations.WethenillustratetheapplicationofthesupplychainengineeringinChina’sretailingindustry.Insuchpractices,wedevelopedthevirtualretailingenterprisemodeandtheFROM-SCMsystem,anddesignedthesalesassistantetc.SuchtheoryandpracticesaresuccessfullyappliedinMeiyijia,whichhastransformedMeiyijiafromatraditionalretailertoamodernserviceenterprise,andtheprofitsareresultedfromtheservicefeesratherthanthetraditionalsurplusbetweenbuyingandsellingprices.NowMeiyijiahasbuiltanecosystemwiththeretailerinthecore,theheadquarterastheserviceplatform.ThesuccessofMeiyijiainrecentyearsshowstheeffectivenessofthesupplychainengineering.

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简介：网络经济是为今天在巨大的连接描绘的经济元素之中的全球关系的一个术语。在资源和活动被分享的地方，新时代的中央行为是在互相相互依赖的关系的许多层次在深网网络把一切连接到一切，市场被扩大，费用和风险被减少。网络系统包含积极、否定的反馈。许多反馈进程创造复杂系统行为。为如此的一个网络，分析网络过程(ANP)途径似乎很适当。ANP方法使系统地与各种依赖和反馈经营系统可能。动态模型试着反映变化在真实或simulatedtimeand考虑网络模型部件常常正在演变。动态模型使用州的变量，流动，和反馈进程的概念。动态网络进程(DNP)是能在联网的经济处理时间依赖者优先级的ANP的扩展。