简介：Inthispaper,wepresentaquantitativeanalysisoftherobustnessofageneralizedpredictivecontroller.Theresultofstabilityanalysisshowsthat,underaspecificboundedmodellingerror,theclosed-loopsystemisBIBOstableinthepresenceofunmedelleddynamics.

简介：计算力学的原因的状态定义最小的足够的存储器为一给分离静止随机的过程。他们的熵是称为统计复杂性的一项重要复杂性措施(或真措施复杂性)。他们导致是一个隐藏的Markov模型的-machine,(唔)产生这个过程。但是它不是最小的，尽管生产HMMs也有自然预兆的解释。这份报纸给机器是的想法的一个数学证明最小HMM与一另外(部分)宿命论状况。最小的内部州的熵一生产唔在到统计复杂性的类比被叫生产复杂性。这份报纸也证明那生产复杂性以一个好方法取决于这个过程。它是作为这个过程的功能，降低半连续(w.r.t弱--*拓扑学)，凹面，并且表现在这个过程的各态历经的分解下面好。

简介：Traditionally,bonestructureandbonemassareassessedbyobservingtherari-fiedboneonstandardx-rayfilms.However,smallchangesinbonemasscannotbedetectedeffectively.Bythetimelossofbonemasscanbedetectedonthex-ray,thediseaseisalreadyinanadvancestage.Atleast30%ofbonemustbelostbeforeproblemslikeosteoporosiscanbediagnosed.

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简介：AbstractObjectives:Describe the h index as a bibliometric that can be utilized to objectively evaluate scholarly impact. Identify which otolaryngology subspecialties are the most scholarly. Describe if NIH funding to one’s choice of medical school, residency, or fellowship has any impact on one’s scholarly output. Determine other factors predictive of an academic otolaryngologist’s productivity.Study design:Analysis of bibliometric data of academic otolaryngologists.Methods:Active grants from the National Institutes of Health (NIH) to otolaryngology departments were ascertained via the NIH Research Portfolio Online Reporting Tools Expenditures and Reports database. Faculty listings from these departments were gleaned from departmental websites. H index was calculated using the Scopus database.Results:Forty-seven otolaryngology programs were actively receiving NIH funding. There were 838 faculty members from those departments who had a mean h index of 9.61. Otology (h index 12.50) and head and neck (h index 11.96) were significantly (P < 0.0001) more scholarly than the rest of subspecialists. H index was significantly correlative (P < 0.0001) with degree of NIH funding at a given institution. H index was not significantly higher for those that attended medical school (P < 0.18), residency (P < 0.16), and fellowship (P < 0.16) at institutions with NIH funding to otolaryngology departments.Conclusions:H index is a bibliometric that can be used to assess scholarly impact. Otology and head and neck are the most scholarly subspecialists within otolaryngology. NIH funding to an individual’s medical school, residency, or fellowship of origin is not correlative with one’s scholarly impact, but current institutional affiliation and choice of subspecialty are.

简介：Overthepastfiveyears,wehavebeenmakingeffortstodevelopapracticalandpredictivetooltoexploreforgiantoredepositsinhydrothermalsystems.Towardsthisgoal,asignificantprogresshasbeenmadetowardsabetterunderstandingofthebasicphysicalandchemicalprocessesbehindorebodyformationandmineralizationinhydrothermalsystems.

简介：Thispaperpresentsapredictivemodelofcombinationonstochastictimeseries,Markovchainanddatamining,discusseshowitcanbeapplied.ThismodelisprovedvalidwhenitisappliedtopredictthetendencyofShanghaiStockMarketIndexin2003.

简介：Forthemodelpredictivecontroller,terminalstatesatisfyingacertaininequalitycanguaranteethestabilitybutitissomewhatconservative.Inthispaper,wegiveamorerelaxedstabilityconditionbyconsideringtheeffectoftheinitialstate.Basedonthatweproposeanalgorithmtoguaranteethattheclosedloopsystemisasymptoticallystable.Finally,theconclusionsareverifiedbyasimulation.

简介：改进动态特征和联合能力，一个新预兆的功能的控制算法与时间延期为强壮的联合multivariable系统被建议，它联合预兆的功能的控制和去耦控制。首先，一个去耦控制算法被建议，在哪个有延期被分析decoupled的振幅频率和阶段频率特征建立的时间的一阶的模型使遭到。然后，一个控制器基于预兆的功能的控制的原则在去耦以后为单个变量的题目被设计。模拟结果证明这个建议算法有更少的联机计算时间并且更快的追踪。它能为复杂multivariable系统提供更有效的控制。

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简介：预兆的deconvolution算法(PD)基于秒顺序统计，假设primaries和multiples是含蓄地直角的。然而，地震数据通常不在实践满足这个假设。自从地震数据(primaries和multiples)，有non-Gaussian分布，在这篇论文我们在场由最大化恢复primaries的non-Gaussianity的一个改进预兆的deconvolution算法(IPD)。合成、真实的地震数据集上的IPD方法的应用证明建议方法获得有希望的结果。

简介：Thispaperpresentsananalysisofthepotentialforenginespeedreductioninhydraulicequipment,takingintoaccountnotonlytheminimumenginespeedrequiredtomeetthecurrentflowdemand,butalsotheminimumspeedcapableofacceleratingtheenginetomeetincreasedflowdemandinthenearfuture.Thisisapredictivetask,asitrequiresanestimateoftheoperator'sintentiontoincreaseflowdemand.Wepresentananalysisofthepotentialforenginespeedreductionusingaworkcyclefroma40tonexcavatorloadingatruck,whichresultsinapotential33%reductioninthemeanenginespeedwithnoreductioninusefulworkrate.Wealsopresenttwonewenginespeedcontrolalgorithmstoperformthispredictivetask.

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简介：AbstractBackground:We investigated whether periodontal diseases, specifically, periodontitis and gingivitis, could be risk factors of the incidence of intracranial aneurysms (IAs).Methods:We performed a case-control study to compare the differences in the periodontal disease parameters of 281 cases that were divided into the IAs group and non-IAs group. All cases underwent complete radiographic examination for IAs and examination for periodontal health.Results:Comparing with those in the non-IAs group, the cases in the IAs group were older (53.95 ± 8.56 vs 47.79 ± 12.33, p < 0.001) and had a higher incidence of hypertension (76 vs 34, p = 0.006). Univariate logistic regression analysis revealed that age (> 50 years) and hypertension were predictive risk factors of aneurysm formation (odds ratio [OR] 1.047, 95% confidence interval [95% CI] 1.022-1.073, p < 0.001 and OR 2.047, 95% CI 1.232-3.401, p = 0.006). In addition, univariate and multivariate logistic regression analyses showed that the parameters of periodontal diseases, including gingival index, plaque index, clinical attachment loss, and alveolar bone loss, were significantly associated with the occurrence of IAs (all p < 0.05). For further statistical investigation, the parameters of periodontal diseases were divided into four layers based on the quartered data. Poorer periodontal health condition (especially gingival index > 1.1 and plaque index > 1.5) had the correlation with IAs formation (p = 0.007 and p < 0.001).Conclusion:Severe gingivitis or periodontitis, combining with hypertension, is significantly associated with the incidence of IAs.

简介：Inthispaper,theautocontrolofthesimulationdeviceofsystematiccirculatorysystemwillbepresented.Thepressureandcardiacoutputofsimulationsystemwillbeadjustedtopredeterminatevalueinphysiologicalarea.Thispaperisbasedonfullyunderstandingofphysicalsimulatorytheoriesanddevicedesignofhumancardiovas-cularsystemandthebasicspecificpropertiesofsimulationsystem.Non-linearityexsitsinthissystem,anditisamulti-inputandmulti-outputsystem.Inthemean-time,simulativesystemhasspecialpropertyoftime-lagandtime-variant.Theideaof

简介：Anoveldistributedmodelpredictivecontrolschemebasedondynamicintegratedsystemoptimizationandparameterestimation(DISOPE)wasproposedfornonlinearcascadesystemsundernetworkenvironment.Underthedistributedcontrolstructure,onlineoptimizationofthecascadesystemwascomposedofseveralcascadedagentsthatcancooperateandexchangeinformationvianetworkcommunication.Byiteratingonmodifieddistributedlinearoptimalcontrolproblemsonthebasisofestimatingparametersateveryiterationthecorrectoptimalcontrolactionofthenonlinearmodelpredictivecontrolproblemofthecascadesystemcouldbeobtained,assumingthatthealgorithmwasconvergent.Thisapproachavoidssolvingthecomplexnonlinearoptimizationproblemandsignificantlyreducesthecomputationalburden.Thesimulationresultsofthefossilfuelpowerunitareillustratedtoverifytheeffectivenessandpracticabilityoftheproposedalgorithm.

简介：Theon-linecomputationalburdenrelatedtomodelpredictivecontrol(MPC)oflarge-scaleconstrainedsystemshampersitsreal-timeapplicationsandlimitsittoslowdynamicprocesswithmoderatenumberofinputs.Toavoidthis,anefficientandfastalgorithmbasedonaggregationoptimizationisproposedinthispaper.Itonlyoptimizesthecurrentcontrolactionattimeinstantk,whileotherfuturecontrolsequencesintheoptimizationhorizonareapproximatedoff-linebythelinearfeedbackcontrolsequence,sotheon-lineoptimizationcanbeconvertedintoalowdimensionalquadraticprogrammingproblem.Inputconstraintscanbewellhandledinthisscheme.Thecomparableperformanceisachievedwithexistingstandardmodelpredictivecontrolalgorithm.Simulationresultswelldemonstrateitseffectiveness.

简介：Homemortgageloanlendingfirmsareexposedtomanybusinessrisks.Thispaperfocusesonthemortgageloanborrowerrisksandproposesaprospectivelossanalysisapproachinregardtoloanrepaymentdefaultsofborrowers.Forthispurpose,apredictivemodelingispresentedinthreestages.Inthefirststage,occurrenceofborrowerdefaultsinamortgageloansportfolioismodeledthroughthegeneralizedlinearmodels(GLMs)typeregressionsforwhichwespecifyalogisticdistributionfordefaultevents.Thesecondstageofmodelingdevelopsasurvivalanalysisinordertoestimatesurvivalprobabilityandhazardratefunctionsforindividualloans.Ultimately,anexpectablelossamountmodelispresentedinthethirdstageasafunctionofconditionalsurvivalprobabilitiesandcorrespondinghazardratesatloanlevels.Throughoutallmodelingstages,alargeandrealdatasetisusedasanempiricalanalysiscasebywhichdetailedinterpretationsandpracticalimplicationsoftheobtainedresultsarestated.

简介：我们决定了在prostatic演算和更低的尿道之间的关联症状(LUTS)，以及prostatic演算的预先安排的因素。为LUTS在我们的诊所介绍了的1527个病人，802经历了完全的评估，包括transrectalultrasonography，voidedbladder-3标本和国际prostatic症状分数(IPSS)。有prostatic演算的335个病人和没有prostatic演算的467个病人的一个总数分别地被划分成演算和没有演算组。严重LUTS和prostatic演算的预兆的因素用uni/multivariate分析被决定。全面IPSS分数是15.7卤9.2在演算和没有演算组织的9.2和14.1卤，分别地(P=0.013)。最大的流动率是12.1卤6.9和14.2卤8.2mLs?1在演算和没有演算组织，分别地(P=0.003)。在为预言严重LUTS的因素的univariate分析上，在年龄的差别(P=0.042)，prostatic演算(P=0.048)并且前列腺炎(P=0.018)是统计上重要的。在multivariate分析上，然而，没有因素是重要的。在为预先安排的multivariate分析上prostatic演算的因素，在年龄的差别(P<0.001)并且前列腺体积(P=0.001)是重要的。到我们的知识，有prostatic演算的病人抱怨更严重的LUTS。然而，prostatic演算不是严重LUTS的一个独立预兆的因素。因此，不仅因为prostatic演算而且因为年龄和另外的因素，有prostatic演算的人有更严重的LUTS。另外，老年和大前列腺体积是为prostatic演算的独立人士预先安排因素。