简介：ＣａｌｃｕｌａｔｉｏｎｏｆｂｖａｌｕｅａｎｄｉｔｓａｐｐｌｉｃａｔｉｏｎｉｎｅａｒｔｈｑｕａｋｅｐｒｅｄｉｃｔｉｏｎＨｕａ－ＣｈｅｎＤＵＡＮ（段华琛）；Ｃｈａｎｇ－ＱｉｎｇＦＡＮ（范长青）ａｎｄＹｕｅ－ＭｉｎＸＵ（许跃敏）（Ｓｅｉｓｍｏｌｏｇｉｃａｌ...

简介：Intheestimationofseismictendency,usingGutenberg-Richter￠sb-valueandusingHurstexponentaretwocom-monlyusedmethods.Basedonthefractalgeometryofearthquaketimeseries,wepointoutthatthesetwomethodscorrelatetoeachother.IntheperspectiveoffractionalBrownianmotion(FBM),anearthquakesequencewithb>3/4andthatwithb<3/4havedifferentdynamicproperties.

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简介：ToovercomethedeficienciesoftheexistingVerhulstGM(1,1)model,basedontheexistinggreytheory,anon-equal-intervaldirectoptimumVerhulstGM(1,1)modelisbuiltwhichchoosesamodifiedn-thcomponentx(n)ofX(0)asthestartingconditionofthegreydifferentialmodel.Itoptimizesamodifiedβvalueandthebackgroundvalue,andtakestwotimesfittingoptimization.Thenewmodelextendsequalintervalstonon-equal-intervalsandissuitableforgeneraldatamodellingandestimatingparameters...

简介：Thesmallhydropower(SHP)willbelesscompetitiveintheabsenceofenvironmentalvalue.Thelackofinformationhasbecomeanimportantobstaclechallengingdecision-makersinresource-usechoices.Thispaperisanapplicationofcontingentvaluationmethod(CVM)inruralChinatoestimatethewillingness-to-pay(WTP)forenvironmentalservicesprovidedbyexitinghydropowerstation.Usingthesingle-boundedanddichotomouschoiceCVM,theecologicalvalueofTongjiqiaoReservoir(TJQR)isestimated,andtheannualmeanWTPsofsingle-boundedanddouble-boundedCVMestimationare141.05and219.52Yuan(RMB)/a,respectively.The95%confidenceintervalofannualWTPonanaverageis118.47,166.79Yuan(RMB)/aand204.41,236.22(YuanRMB)/a,respectively.Incontrast,double-boundedmodelcouldobtainmuchmoreinformationofWTPoftheinvestigated,thusreducingtheconfidenceintervalofestimation,andenhancingtheestimationaccuracyoftheWTP.AccordingtotheestimatedmeanWTPofthedouble-boundedCVM,thetotalecosystemservicevalueoftheTJQRis15.54millionYuan(RMB).Comparedwiththeconventionalelectricityoffossilpowerandlargehydropower,theSHPwillbelesscompetitiveintheabsenceofnon-marketvalue,ignoringthattheenvironmentalimpactsofexistingSHPwillunderminethehealthydevelopmentofcleanenergysector.

简介：AbstractBackground:Colorectal cancer is harmful to the patient’s life. The treatment of patients is determined by accurate preoperative staging. Magnetic resonance imaging (MRI) played an important role in the preoperative examination of patients with rectal cancer, and artificial intelligence (AI) in the learning of images made significant achievements in recent years. Introducing AI into MRI recognition, a stable platform for image recognition and judgment can be established in a short period. This study aimed to establish an automatic diagnostic platform for predicting preoperative T staging of rectal cancer through a deep neural network.Methods:A total of 183 rectal cancer patients’ data were collected retrospectively as research objects. Faster region-based convolutional neural networks (Faster R-CNN) were used to build the platform. And the platform was evaluated according to the receiver operating characteristic (ROC) curve.Results:An automatic diagnosis platform for T staging of rectal cancer was established through the study of MRI. The areas under the ROC curve (AUC) were 0.99 in the horizontal plane, 0.97 in the sagittal plane, and 0.98 in the coronal plane. In the horizontal plane, the AUC of T1 stage was 1, AUC of T2 stage was 1, AUC of T3 stage was 1, AUC of T4 stage was 1. In the coronal plane, AUC of T1 stage was 0.96, AUC of T2 stage was 0.97, AUC of T3 stage was 0.97, AUC of T4 stage was 0.97. In the sagittal plane, AUC of T1 stage was 0.95, AUC of T2 stage was 0.99, AUC of T3 stage was 0.96, and AUC of T4 stage was 1.00.Conclusion:Faster R-CNN AI might be an effective and objective method to build the platform for predicting rectal cancer T-staging.Trial registration:chictr.org.cn: ChiCTR1900023575; http://www.chictr.org.cn/showproj.aspx?proj=39665.

简介：ＴｈｅｂｖａｌｕｅｓｐｅｃｔｒｕｍａｎｄηｖａｌｕｅｂｙｔｈｅｍｏｍｅｎｔｍｅｔｈｏｄＴｏｒｕＯｕｃｈｉ（大内）ＤｅｐａｒｔｍｅｎｔｏｆＥａｒｔｈＳｃｉｅｎｃｅｓ，ＦａｃｕｌｔｙｏｆＳｃｉｅｎｃｅ，ＫｏｂｅＵｎｉｖｅｒｓｉｔｙ，Ｋｏｂｅ，６５７，...

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简介：ＦｕｚｚｙＩｎｔｅｒｖａｌＶａｌｕｅＬｏｇｉｃａｎｄＦｕｚｚｙＤｉｓｔｒｂｕｔｅｄＶａｌｕｅＬｏｇｉｃTXＦｕｚｚｙＩｎｔｅｒｖａｌＶａｌｕｅＬｏｇｉｃａｎｄＦｕｚｚｙＤｉｓｔｒｉｂｕｔｅｄＶａｌｕｅＬｏｇｉｃＨｅＸｉｎｇｕｉＢｅｉｊｉｎｇＩｎｓｔｉｔ...

简介：目的：分析探索MRI在骨梗死诊断与早期诊断中的应用价值。方法：选取我院及协作医院涿州市医院2016年1月-2021年3月间48例均行X线平片、CT及MR检查诊断并最终确诊骨梗死病例，利用数字表法分成CT组与MRI组，观察对比诊断结果。结果：MRI组诊断准确率、诊断敏感性均高于CT组，P<0.05。结论：MRI在骨梗死诊断中具有较高应用价值，可以早期诊断疾病。

简介：SufficientconditionsweregiventoassertthatbetweenanytwoBanachspacesoverK,Fredholmmappingsshareatleastonevalueinaspecificopenball.Theproofoftheresultisconstructiveandbaseduponcontinuationmethods.

简介：为一家企业建模匹配它的顾客察觉了(并且需要的顾客)结果，仍然是一项进行中的任务。这篇论文考虑表演网络(SVN)接近的服务价值可能怎么样，答应当模特儿，；交付，前端企业理解；它与的直接约会它的立即(或前端)顾客。这些前端顾客可以是任何一个：(1)它的离线，在里面店顾客—与企业出售职员一起直接从事(或代表)，或(2)它的联机、虚拟顾客—经由因特网或遥远的存取与企业从事。处于这种状况，两企业，；顾客利用他们的各自的观点，；双方影响相互作用。对这些企业外部；顾客影响是捕获的另外的因素立即；更宽广的全球效果—称为的环境效果。影响的这三个生意顾客约会区域被一条SVNSEM途径捕获。没有一个生意顾客，某类型遇到一家服务企业的可能性，；一个勘探顾客，成功地从事一个交换过程被减少。这交换可以是一物理，；/or服务交换，；/or一个信息；/or想法交换。到企业，实际上，这相遇是一项贸易，；作为结果，企业指向获得将最终交付一张网的经济交换积极经济结果。到顾客，外部；内部信息喂，满足，察觉的价值，；满足，是关键相遇司机。SVN提供一个新方法理解生意顾客相遇，；为了然后利用，这获得了知识到也：(1)造一个战略管理模型，或(2)reengineer它的企业网络，；然后创造重新定位的、更排列顾客的企业操作—能够交付胜利的—赢，竞争生意顾客答案。

简介：Whilelastdecadehaswitnessedarapidgrowthofdigitaleconomy,thereislimitedunderstandinginliteratureonwhethertheconventionalwisdomonpricingstrategystillholdsforinformationgoods.Ononehand,informationgoods,similartodurablegoods,aresubjecttovaluedepreciation;ontheother,theydifferfromtraditionalgoodsinnegligiblemarginalcostandthesensitivitytosocialinfluences.Thispaperdevelopsatwo-period,game-theoreticmodeltoinvestigateoptimalpricingstrategyofinformationgoods.Ononedimension,twodifferentdepreciationmechanisms(self-andtime-depreciation)areconsidered;ontheother,twoprevalentpricingschemes(perpetuallicensingandsubscription-feemodels)arestudied.Weobtainclosed-formsolutionsinallscenarios.Ourfindingssuggestthatvendorsoftime-depreciationinformationgoodsshouldadoptsubscription-feemodeltoattractearlyadoptersandexploitsocialinfluences,whilethevendorsofself-depreciationinformationgoodsshouldstrategicallybalancebetweendepreciationandsocialinfluences.Interestingly,associalinfluencesbecomestrongenough,thedifferencebetweenpricingschemesdiminishesandthetradeoffbetweencandidatestrategiesvanishes.Wealsoextendthemodeltostaticpricinginwhichthevendorcommitstofutureprice.Wediscoverthatthesuperiorityofsubscription-feemodelmightbeoverturnedunderstaticpricing.Ourresultsabovealsoimplythatbuildingconsumerfeedbackandinteractionsystemscouldbehelpfulforminimizingthepotentiallossofasuboptimalpricingscheme.

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