简介：Asearlyas2000yearsago,ancientChinesemedicalrecordshaddescribedtherelationshipbetweendiseasesandappearanceindetail.Moreover,modernmedicinehasalsoconstantlystudiedtherelationshipbetweenfacialfeaturesandhealthinevolutionaryterms.Itiswellknownthatmanyhereditarydiseasesinvolvecertainabnormalfacialfeaturesandgenemutations.Thetumorisalsoconsideredasgeneticdisordertosomeextent,sowhatistherelationshipbetweencancergeneticsandcongenitaldevelopmentoffacialfeatures?Here,wereviewedsomecluestotheappearance-gene-tumorrelation,whichmightbecomethetargetsintheearlypreventionorgenetherapyofcancerinthefuture.Thissummaryprovidedusanewstrategyforthecancergeneticscreeningandanewresearchdirectionforgeneticdiagnosisofthepotentialdisease.

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简介：为睾丸激素代替治疗(TRT)的许多方法存在，并且TRT的主要潜在的风险有建立的井。开发对外长的睾丸激素(T)第二等的红血球增多症的风险被报导了从0.4%～40%。自从1972，可植入的T小团被使用了，并且第二等的红血球增多症被报导了与这种管理形式象0.4%一样低。然而，我们的经验建议了更高的率。我们进行了同意板的、单个机构的、回顾的图表评论(2009-2013)与皮下地植入的睾丸激素小团对待在228个人决定第二等的红血球增多症的率的机构的评论。Kaplan-Meyer失败曲线被用来估计时间直到红血球增多症的发展(分血器>50%)。管理的小团的吝啬的数字是12(范围：6-16)。吝啬的后续是566天。50%病人开发了红血球增多症的红血球增多症的开发的中部的时间是50个月。在6个月的红血球增多症的估计的率是10.4%，12个月17.3%，和24月是30.2%。我们断定第二等的红血球增多症的发生当在T上小团治疗可能比以前建立高时。

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简介：Weappliedthedecisiontreealgorithmtolearnassociationrulesbetweenwebpage’scategory(pornographicornormal)andthecriticalfeatures.Basedontheserules,weproposedanefficientmethodoffilteringpornographicwebpageswiththefollowingmajoradvantages:1)aweightedwindow-basedtechniquewasproposedtoestimatefortheconditionofconceptdriftforthekeywordsfoundrecentlyinpornographicwebpages;2)checkingonlycontextsofwebpageswithoutscanningpictures;3)anincrementallearningmechanismwasdesignedtoincrementallyupdatethepornographickeyworddatabase.

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简介：Mostofthemaintenanceoptimizationmodelsincondition-basedmaintenance(CBM)considerthecost-optimalcriterion,butfewpapershavedealtwithavailabilitymaximizationformaintenanceapplications.AnoveloptimalBayesiancontrolapproachispresentedformaintenancedecisionmaking.Thesystemdeteriorationevolvesasathree-statecontinuoustimehiddensemi-Markovprocess.Consideringtheoptimalmaintenancepolicy,themultivariateBayesiancontrolschemebasedonthehiddensemi-Markovmodel(HSMM)isdeveloped,theobjectiveistomaximizethelong-runexpectedaverageavailabilityperunittime.Theproposedapproachcanoptimizethesamplingintervalandcontrollimitjointly.AcasestudyusingMarkovchainMonteCarlo(MCMC)simulationisprovidedandacomparisonwiththeBayesiancontrolschemebasedonhiddenMarkovmodel(HMM),theage-basedreplacementpolicy,Hotelling’sT2,multivariateexponentiallyweihtedmovingaverage(MEWMA)andmultivariatecumulativesum(MCUSUM)controlchartsisgiven,whichillustratestheeffectivenessoftheproposedmethod.

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简介：锌(Zn)缺乏是限制米饭庄稼生长和产量的主要土壤限制，然而，忍耐机制的基因控制仍然糟糕被理解。这里，我们介绍了有希望的loci和候选人基因交谈忍耐给Zn缺乏并且通过协会分析识别了用一365?在多样的aus(半野的类型米饭)的K单个核苷酸多型性(SNP)标记数组面板。容忍的就职与相对稀罕的压力症状展出了更高的生长率。染色体上的二loci7和9强烈在一个山峰压力阶段在Zn缺乏下面与植物活力被联系。从一样的试验性的阴谋基于以前的microarray数据，我们加亮其表达式被重要遗传型或环境效果在Zn下面伴随的四候选人基因缺乏。网络基因本体论支持了已知的忍耐机制，例如维生素酸小径，并且也建议了光合作用基因的重要性克服Zn缺乏症状。

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简介：Irregularsurfaceflattening,whichisbasedonaboundaryconforminggridandthetransformationbetweencurvilinearandCartesiancoordinatesystems,isamathematicalmethodthatcanelegantlyhandleirregularsurfaces,buthasbeenlimitedtoobtainingfirstarrivalsonly.Bycombiningamultistageschemewiththefast-sweepingmethod(FSM,themethodtoobtainfirst-arrivaltraveltimeincurvilinearcoordinates),thereflectedwavesfromacrustalinterfacecanbetracedinatopographicmodel,inwhichthereflectedwavefrontisobtainedbyreinitializingtraveltimesintheinterfaceforupwindbranches.Alocaltriangulationisappliedtomakeaconnectionbetweenvelocityandinterfacenodes.Thenajointinversionoffirst-arrivalandreflectiontraveltimesforimagingseismicvelocitystructuresincomplexterrainsispresented.Numericalexamplesallperformwellwithdifferentseismicvelocitymodels.Theincreasingtopographiccomplexityandevenuseofahighcurvaturereflectorinthesemodelsdemonstratethereliability,accuracyandrobustnessofthenewworkingscheme;checkerboardtestingillustratesthemethod’shighresolution.Noisetolerancetestingindicatesthemethod’sabilitytoyieldpracticaltraveltimetomography.Furtherdevelopmentofthemultistageschemewillallowotherlaterarrivalstobetracedandusedinthetraveltimeinversion.

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