简介:SighfertilitylevelinTibetZhangTianluDatafromthe1982and1990censusesinTibetshowthebirthrateinTibetandinaltheprefecturesoftheReg...
简介:Althoughvariousgenomeprojectshaveprovidedusenormousstaticsequenceinformation,understandingofthesophisticatedbiologycontinuestorequireintegratingthecomputationalmodeling,systemanalysis,technologydevelopmentforexperiments,andquantitativeexperimentsalltogethertoanalyzethebiologyarchitectureonvariouslevels,whichisjusttheoriginofsystemsbiologysubject.Thisreviewdiscussestheobject,itscharacteristics,andresearchattentionsinsystemsbiology,andsummarizestheanalysismethods,experimentaltechnologies,researchdevelopments,andsooninthefourkeyfieldsofsystemsbiology-systemicstructures,dynamics,controlmethods,anddesignprinciples.
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简介:IntroductionErrorsareunavoidableinlanguagelearning,however,toagreatextent,teachersinmostmiddleschoolsinChinaregarderrorsasundesirable,asignoffailureinlanguagelearning.Mostmiddleschoolsarestillusingthegrammar-translationmethodwhichaimsatencouragingstudentstoreadscientificworksandenjoyliteraryworks.Theothergoalsofthismethodaretogainagreaterunderstandingofthefirstlanguageandtoimprovethestudents’abilitytocopewithdifficultsubjectsandmaterials,i.e.todevelopthestudents’minds.Thepracticalpurposeofusingthismethodistohelplearnerspasstheannualentranceexamination."Toachievethesegoals,thestudentsmustfirstlearngrammarandvocabulary,...Grammaristaughtdeductivelybymeansoflongandelaborateexplanations...studentslearntherulesofthelanguageratherthanitsuse."(TangLixing,1983:11-12)
简介:Aconceptualleveldatabaselanguagefortheentityrelationship(ER)modelimplicitlycontainsintegritiesbasictoERconceptsandspecialretrievalsemanticsforinheritancesofattributesandrelationships.Prolog,whichbelongstothelogicalandphysicallevel,cannotbeusedasafoundationtodirectlydefinethedatabaselanguage.ItisshownhowPrologcanbeenhancedtounderstandtheconceptsofentities,relationships,attributesandis-arelationships.TheenhancedPrologisthenusedasafoundationtodefinethesemanticsofadatabasequerylanguagefortheERmodel.Thethreebasicfunctionsofmodelspecification,updatesandretrievalsaredefined.
简介:ThispaperoutlinesthedesgnandprototypingoftheATLASHighLevelTrigger(HLT)wihchisacombinedeffortoftheDataCollectionHLTandPESA(PhysicsandEventSelectionArchitecture)subgroupswithintheATLASTDAQcollaboration.Twoimportantissues,alresdyoutlinedintheATLASHLT,DAQandDCSTechnicalProposal[1]willbehighlighted:thetreatmentoftheLVL2TriggerandEventFilterasaspectsofageneralHLTwithaviewtoeasiermigrationofalgorthmsbetweenthetwolevels;unificationoftheselectivedatacollectionforLVL2andEventBuilding.
简介:Objective:ToidentifytheeffectofdyslipidemiaonauditoryfunctiondetectedbyPureToneAudiometry.Tocheckifdyslipidemiaworsensthehearinglevelindiabetics.Design:Thiswasacomparativestudywhere120subjectsbetweentheagegroupof20and50yearsunderwentpuretoneaudiometry,lipidprofileandbloodsugars.Group1consistedof30subjectswithtype2diabetesanddyslipidemia;Group2had30subjectswithisolateddiabetes;Group3had30withisolateddyslipidemiaandGroup4included30normalsubjectsascontrol.Results:Significanthearinglosswasseenonlyinthegroupwithisolateddiabetes(63%).Themostcommontypeofhearinglosswashighfrequencysensorineuralhearingloss.Whencomparisonwasmadebetweenthecombinationsofdifferentlipidprofiles,noassociationwasfoundtothelevelofhearing.Conclusions:Diabeticsaremorepronetohighfrequencyhearingloss.Alteredlipidprofilehasnoroleincausinghearingloss.
简介:IncreasingICdensitiesnecessitatediagnosismethodologieswithenhanceddefectlocatingcapabilities.YetthecomputationaleffortexpendedinextractingdiagnosticinformationandthestringentstoragerequirementsconstitutemajorconcernsduetothetremendousnumberoffaultsintypicalICs.Inthispaper,weproposeanRT-leveldiagnosismethodologycapableofrespondingtothesechallenges.Intheproposedscheme,diagnosticinformationiscomputedonagroupedfaulteffectbasis,enhancingboththestorageandthecomputationalaspects.Thefaulteffectgroupingcriteriaareidentifiedbasedonamodulestructureanalysis,improvingthepropagationabilityofthediagnosticinformationthroughRTmodules.Experimentalresultsshowthattheproposedmethodologyprovidessuperiorspeed-upsandsignificantdiagnosticinformationcompressionatnosacrificeindiagnosticresolution,comparedtotheexistinggate-leveldiagnosisapproaches.
简介:TheALICEexperiment[1]attheLargeHadronCollider(LHC)atCERNwilldetectupto20,000particlesinasinglePb-Pbeventresultinginadatarateof-75MByte/event,Theeventrateislimitedbythebandwidthofthedatastoragesystem.Higherratesarepossiblebyselectinginterestingeventsandsubevents(HighLeveltrigger)orcompressingthedataefficientlywithmodelingtechniques.Bothrequireafastparallelpatternrecognition.OnepossiblesolutiontoprocessthedetectordataatsuchratesisafarmofclusteredSMPnodes,basedonoff-the-shelfPCs,andconnectedbyahighbandwidt,lowlatencynetwork.
简介:Energylevelstatisticsofasystemconsistingofsixparticlesinteractingbydeltaforceinatwo-jmodelcoupledwithadeformedcoreisstudiedinparticle-rotormodel.Forsingle-jshell(i13/2)andtwo-jshell(g7/2+d5/2)theexactenergiesforourstatisticalanalysisareobtainedfromafulldiagonalizationoftheHamiltonian,whileintwo-jcase(i13/2+g9/2)theconfigurationtruncationisused.Thenearest-neighbordistributionofenergylevelsandspectralrigidityarestudiedasthefunctionofspin.Theresultsofsingle-jshellarecomparedwiththoseintwo-jcase.Itisshowedthatthesystembecomesmoreregularwhensingle-jspace(i13/2)isreplacedbytwo-jshell(g7/2+d5/2)althoughthebasissizeoftheconfigurationspaceisunchanged.Thedegreeofchaoticityofthesystem,however,changesslightlywhenconfigurationspaceisenlargedbyextendingsingle-jshell(i13/2)totwo-jshell(i13/2+g9/2).
简介:尽管很少调查检查了这个对象,热数据鉴定为许多应用是关键的。所有存在研究几乎专门集中于频率。然而,有效地识别热数据就崭新和频率而言同等地要求。而且,以前的研究在数据块水平做热数据决定。因为它的随机的存取完成与它的顺序的存取可比较的性能,如此的一个有细密纹理的决定为基于闪光的存储特别地适合很好。然而,硬盘驱动器(HDD)有在顺序、随机的存取之间的重要性能不同。不同于基于闪光的存储,因此利用不对称的HDD存取性能要求做一个纹理粗糙的决定。这份报纸建议采用多重花蕾过滤器高效地描绘崭新以及频率的一个新奇热数据鉴定计划。因而,它不仅消费50%更少的存储器和多达58%不太计算的开销,而且与一个最先进的计划相比降低假鉴定率直到65%。而且,我们把计划用于一种下一代HDD技术,即,Shingled磁性的记录(SMR),验证它的有效性。为这,我们设计新热数据鉴定有一个纹理粗糙的决定的基于的SMR开车。实验表明精确热数据鉴定的重要性和好处,从而在多达42%改进建议SMR驱动器性能。