简介:从课后练习的呈现方式与内容两个方面对新加坡o-level高中生物学教材的特色进行了分析,以期给我国中学生物学教材课后练习的编写提供借鉴。
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.