简介：Themotivationofdataminingishowtoextracteffectiveinformationfromhugedatainverylargedatabase.However,someredundantandirrelevantattributes,whichresultinlowperformanceandhighcomputingcomplexity,areincludedintheverylargedatabaseingeneral.So,FeatureSubsetSelection(FSS)becomesoneimportantissueinthefieldofdatamining.Inthisletter,anFSSmodelbasedonthefilterapproachisbuilt,whichusesthesimulatedannealinggeneticalgorithm.Experimentalresultsshowthatconvergenceandstabilityofthisalgorithmareadequatelyachieved.

简介：Inapplicationsoflearningfromexamplestoreal-worldtasks,featuresubsetselectionisimportanttospeeduptrainingandtoimprovegeneralizationperformance.Ideally,aninductivealgorithmshouldusesubsetoffeaturesassmallaspossible.Inthispaperhowever,theauthorsshowthattheproblemofselectingtheminimumsubsetoffeaturesisNP-hard.Thepaperthenpresentsagreedyalgorithmforreaturesubsetselection.Theresultofrunningthegreedyalgorithmonhand-writtennumeralrecognitionproblemisalsogiven.

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简介：尽管有CD4+CD25+规章的T房间(Tregs)在过去的十年期间，在他们的临床的翻译以后的进步仍然保持停滞。增长证据建议那自然地发生的CD8+CD122+T房间也是有能力的Tregs禁止T房间回答并且象alloimmunity一样压制autoimmunity。事实上，他们是像记忆的Tregs类似于一个中央记忆T房间(T厘米)显型。位于他们的抑制下面的机制仍然不好被理解，尽管他们可以包括IL-10生产。我们最近证明了那个规划death-1(PD-1)表达式区分在之间规章并且存储器CD8+CD122+T房间和那CD8+CD122+Tregs经历更快的homeostatic增长并且比常规CD4+CD25+Tregs。这些调查结果可以为在诊所加速有效Treg治疗打开调查的一根新线。在这评论，我们在CD8+CD122+Treg在诊所研究并且讨论他们的显型，在autoimmunity和alloimmunity的镇压角色，功能的要求，行动的机制和潜在的应用。

简介：<正>Uponactivation,naiveT-helpercellscandifferentiateintotwomajordistinctsubsets,Thelper1(Th1)andThelper2(Th2),asdefinedbytheireffectorfunctionsandcytokinesecretionpatterns.CytokinemilieuandcostimulatorymoleculeshavebeenshowntoplayanessentialroleindeterminingThelperdifferentiation.However,itisstillunclearhowtheeffectsofsignalsofco-stimulatorymoleculesandcytokinesareexertedduringThelperdifferentiation.Weshowevidencesuggestingthatwhilecytokinesignalsinitiatedifferentiationprogram,theselectiveactionofdeatheffectorsdeterminestheendpointbalanceofdifferenti-