简介：Thispaperdealswiththeissueofprioritysettinginhealthcareunderuncertaintiesabouttheseverityoftheillnessandtheeffectivenessofmedicaltreatment.Weexaminetheeffectofadiseaseuncertainty(atreatmentuncertainty)ontheallocationofhealthcareresourcesinthepresenceofatreatmentrisk(adiseaserisk)andidentifypreferenceconditionsunderwhichthesocialplannerallocatesmoreresourcestohigherriskpopulation.Weallowforthesimultaneouspresenceoftworisksandinvestigatethejointeffectoftwo-sourceuncertaintiesonhealthcareallocationwhenthetworisksareeithersmallorpositivelyquadrantdependent.Theeffectofinequalityaversiononhealthcareallocationisalsoanalyzedbyintroducinganequityweightingfunction.Ourworkextendsthepreviousmodelofhealthcareprioritytotwo-riskframeworkandprovidesnewinsightsintotheproblemofhealthcaredecisionmakingunderuncertainty.

简介：Thispaperconsiderstwodimensionalsystemswhichhavepurelyimaginaryeigenvalues.Inordertoobtainmorepropositionsofinvariantcurves,theauthorstransformtherealsystemsintocomplexdifferentialsystemsbyusingasuitablelineartransformation.Theauthorsalsoproposeanalgorithmtocomputeexponentialfactors.Animprovedmethodofconstructingintegratingfactorbyusingallinvariantcurvesispresentedandcanbeusedindeterminingthetypeoftheequilibriumpoints.

简介：这份报纸学习在一个耐心的照顾过程的每个阶段以内定义医疗服务活动的一条临床的小径的设计。优先的研究开发了考虑发生在照顾进程的服务的轨道的临床的进程模型，由使用进程执行日志上的数据采矿技术。提供临床的小径设计的一个更有效的方法的一条新奇途径在这篇论文被介绍。基于TEI@I方法论的策略，建议途径集成统计方法，优化技术和数据采矿。与preprocessed数据，一个复杂照顾过程随后被划分成每个阶段的几个医药阶段，然后模式被识别，并且因此，一条临床的小径被开发。最后，建议方法被用于真实世界，用从在北京的一所医院导出的档案的数据，包含各种各样的部门的大约三疾病，与为每疾病的300件样品的一般水准。realworld应用程序的结果证明建议方法罐头自动地并且高效地便于临床的小径设计。对在这份报纸的域的主要贡献包括(a)在保健领域的TEI@I方法论的一个新应用程序，(b)为复杂进程分析的一个新奇方法，(c)在真实世界上的自动临床的小径设计的有形的证据。

简介：ＥＸＩＳＴＥＮＣＥＯＦＭＵＬＴＩＰＬＥＳＯＬＵＴＩＯＮＳＡＮＤＢＩＦＵＲＣＡＴＩＯＮＦＯＲＣＲＩＴＩＣＡＬＳＥＭＩＬＩＮＥＡＲＢＩＨＡＲＭＯＮＩＣＥＱＵＡＴＩＯＮＳＥＸＩＳＴＥＮＣＥＯＦＭＵＬＴＩＰＬＥＳＯＬＵＴＩＯＮＳＡＮＤＢＩＦＵＲＣＡＴＩＯＮＦ...

简介：用一个孤立的不变的集合的概念，连接为取决于一个参数的平常的微分方程从一个单个批评的点区分的二个批评的点的轨道的一些存在标准被给。

简介：Anintelligentsecuritysystemsengineeringapproachisusedtoanalyzefireandexplosivecriticalincidents,agrowingconcerninurbancommunities.Afeed-forwardback-propagationneuralnetworkmodelsthedamagesarisingfromthesecriticalincidents.Theoverallgoalistopromotefiresafetyandsustainablesecurity.Theintelligentsecuritysystemsengineeringpredictionmodelusesafullyconnectedmultilayerneuralnetworkandconsidersanumberoffactorsrelatedtothefireorexplosiveincidentincludingthetypeofpropertyaffected,thetimeofday,andtheignitionsource.ThenetworkwastrainedonalargenumberofcriticalincidentrecordsreportedinToronto,Canadabetween2000and2006.Ourintelligentsecuritysystemsengineeringapproachcanhelpemergencyrespondersbyimprovingcriticalincidentanalysis,sustainablesecurity,andfireriskmanagement.

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简介：ThispaperfocussesontheinformationasymmetryincrisisnewsafteraseriousincidentinTianjin,China,in2015.Theincidentcausedenormousdamageandresultedinsocietalunrestbecauseofthelackofreliableinformationfromtheformalmediachannels.Socialmedia—microblogs—playedamajorroleinreportingoncrisissituations.Wedividednetizens(i.e.,thecitizensofthenet)intohighandlowtypesaccordingtotheirinformation-criticalleveltothecrisisnews.Thedatashowsinformationdeteriorationonthecrisisnews,relatedtothenetizens’information-criticallevel.Forthetraditionalmediathereistheopportunitytouseinformationqualitydistortiontomakemoremarginalprofits.Thisispossibleonlyifthecitizens’informationstaysunderacertainqualitylevel.Theresultisoverprovisionoflowqualitynewsandhighqualitynewsdrivenoutofthemarket,whereuponadverseselection(i.e.,alackofsymmetricinformation)appears.However,byadoptingaprocessview,wefoundself-correctingmechanism(i.e.,dyingoutofrumors)ofthesocialmediacommunitiesinChina.Weprovidedaagent-basemodelandsimulationtoshowthatthemoremediaexistinthemarket,thefasterspeedoftheinformationdeterioration,butalsothecapacityto‘discuss’rumors.

简介：ＣＲＩＴＩＣＡＬＢＩＲＴＨＯＲＤＥＲＲＡＴＩＯＣＯＮＴＲＯＬＡＮＤＡＴＴＡＩＮＡＢＬＥＳＥＴＯＦＡＤＩＳＣＲＥＴＥＡＧＥ－ＤＥＰＥＮＤＥＮＴＰＡＲＩＴＹＰＳＯＧＲＥＳＳＩＯＮＰＯＰＵＬＡＴＩＯＮＳＹＳＴＥＭＧＵＯＢａｏｚｈｕ（Ｄｅｐａｒｔｍｅｎｔｏｆ...