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简介：EnglishditransitiveconstructionisasignificantcomponentofGoldberg’sconstructiongrammarwhichisbasedoncognitivelinguistics.ItaimstoenlightenteachersandlearnersofSLA.ItpresentsbackgroundsandthebasicconceptsofGoldberg’sconstructiongrammar,depictswhatEnglishditransitiveconstructionisanditssemanticconstraints,andreferstoenlightmentsofEnglishditransitiveconstructiononSLAfromfourperspectives.

简介：Inthispapertheexistenceandstabilityofthepositiveequilibriumofthesize-structuredpopulationmodelareprovedbyRabinowitz'stheoremandthelocallinearizationmethod.Theresulthereshowsthatnearthebifurcationpointwhereabranchofpositiveequilibriaappears,thestabilityofthepositiveequilibriumonthebranchisdcpendentonthedirectionofthebifurcation.Theargumentforthemodelofage-structuredpopulationisgeneralizedinthispaper.

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简介：分布式的网络建筑学和节点的动态变化使结构化的对等的网络的操作无法预言。这篇文章试图通过一个数学模型在结构化的对等的网络的跑的规则上介绍研究。建议模型提供一个低复杂性的工具从二个方面估计结构化的peer-to-peernetwork的表演：一个节点的平均存在时间和回到网络的一个暂时稳定的状态的概率。根据结果，建议结构化的对等的网络对节点变化的频率在有限价值下面的那些条件合适，这能被结束，并且这值主要取决于节点的初始化的时间。不同、结构化的对等的网络能作为排队的一个网络被提炼系统，它由排队的许多节点组成以一个网状的方法的系统和网络系统被分析。

简介：Thefeaturesofthecharacteristicmatrixusedinlinearintensitycorrelationreconstructionmethodsaredirectlyrelatedtothequalityofghostimaging.Inordertosuppressthenoisecausedbytheoff-diagonalelementsinthecharacteristicmatrix,weproposeareconstructionmethodforghostimagingcalledscalar-matrix-structuredghostimaging(SMGI).Thecharacteristicmatrixismadetoapproximateascalarmatrixbymodifyingthemeasurementmatrix.ExperimentalresultsshowthatSMGIimprovesthepeaksignal-to-noiseratiooftheobjectreconstructionsignificantlycomparedwithdifferentialghostimaging,eveninthecaseofanonzerotwo-armlongitudinaldifference,whichisapromisingresultforpracticalapplications.

简介：Asemi-structureddocumenthasmorestructuredinformationcomparedtoanordinarydocument,andtherelationamongsemi-structureddocumentscanbefullyutilized.Inordertotakeadvantageofthestructureandlinkinformationinasemi-structureddocumentforbettermining,astructuredlinkvectormodel(SLVM)ispresentedinthispaper,whereavectorrepresentsadocument,andvectors'elementsaredeterminedbyterms,documentstructureandneighboringdocuments.TextminingbasedonSLVMisdescribedintheprocedureofK-meansforbriefnessandclarity:calculatingdocumentsimilarityandcalculatingclustercenter.TheclusteringbasedonSLVMperformssignificantlybetterthanthatbasedonaconventionalvectorspacemodelintheexperiments,anditsFvalueincreasesfrom0.65-0.73to0.82-0.86.

简介：Thedetectordescriptiondatabase,theeventdatastructure,theconditiondatabaseareallexamples(amongothers)ofcomplexcollectionsofobjectswhichneedtobeunambiguouslyidentified,notonlyinternallytotheirownmanagementstructure.butalsofromonecollectiontotheother.Therequirementsforsuchanidentificationschemeincludethemanagementofidentifiersindividuallyattachedtoeachcollectedobject,thepossibilitytoformallyspectifytheseidentifiers(egthroughdictionaries),togenerateoptimisedandcompactrepresentationsfortheseidentifiersandtobeabletousethemassortingandsearchingkeys.wepresentherethegenerictoolkitdevelopedinthecontextoftheAtlasexperimenttoprimarilyprovidetheidentificationofthereadoutelementsofthedetector.Thistoolkitoffersseveraleithergenericorspecializedcomponentsuchas:anXMLbaseddictionarywithwhichtheformalspecificationofaparticularobjectcollectionisexpressed,asetofvariousbinaryrepresentationsforidentifierobjects(offeringvariouslevelofcompaction),rangeoperatorsmeanttomanipulaterangesofidentifiers,andfinallyacollectionmanagersimilartotheSTLmapbutoptimisedforanorganizationkeyedbyIdentifiers.Allthesecomponentseasilyinteroperate.InParticulartheIdentifierdidctionaryoffersmeansofspecifyingpermittedcardinalitiesofobjectsateachlevelofthehierarchy,ThiscanthenbetranslatedintoIdentifierRangesorcanbeusedasthestrategydriverforhighcompactificationoftheidentifiers(e.g.tostoreverylargenumberofidentifiedobjects).Currentuseofthistoolkitwithinthedetectordescriptionwillbepresented,andexpectedorpossibleotherusageswillbediscussed.

简介：Awoofer–tweeteradaptiveopticalstructuredilluminationmicroscope(AOSIM)ispresented.Bycombiningalow-spatial-frequencylarge-strokedeformablemirror(woofer)withahigh-spatial-frequencylow-strokedeformablemirror(tweeter),weareabletoremovebothlarge-amplitudeandhigh-orderaberrations.Inaddition,usingthestructuredilluminationmethod,ascomparedtowidefieldmicroscopy,theAOSIMcanaccomplishhighresolutionimagingandpossessesbettersectioningcapability.TheAOSIMwastestedbycorrectingalargeaberrationfromatriallensintheconjugateplaneofthemicroscopeobjectiveaperture.TheexperimentalresultsshowthattheAOSIMhasapointspreadfunctionwithanFWHMthatis140nmwide(usingawaterimmersionobjectivelenswithNA=1.1)aftercorrectingalargeaberration(5.9μmpeak-to-valleywavefronterrorwith2.05μmRMSaberration).Afterstructuredlightilluminationisapplied,theresultsshowthatweareabletoresolvetwobeadsthatareseparatedby145nm,1.62×belowthediffractionlimitof235nm.Furthermore,wedemonstratetheapplicationoftheAOSIMinthefieldofbioimaging.Thesampleunderinvestigationwasagreen-fluorescentprotein-labeledDrosophilaembryo.Theaberrationsfromtherefractiveindexmismatchbetweenthemicroscopeobjective,theimmersionfluid,thecoverslip,andthesampleitselfarewellcorrected.UsingAOSIMwewereabletoincreasetheSNRforourDrosophilaembryosampleby5×.

简介：Wepresentadigitalholographicmicroscopewhereinthesampleisilluminatedbystructuredlighttoenablethecaptureofadditionalobjectspatialfrequencies.ReconstructedimageswithincreasedspatialresolutionareobtainedbyseparatingandsynthesizingbandwidthsofdifferentfrequencyregionsintheFourierdomain.Thetheoreticalanalysisandexperimentalresultsarepresented.

简介：学习评价一直是各国教育改革与实践的＂新宠＂。加拿大亚伯达省（Alberta）的学生学习评价（SLA）是以加拿大的社会走向为背景,政治、经济、教育与师生的相互作用为动力因素而产生的学习性评价,是对传统教育评价的传承与发展,又自然融入了＂启发性教育＂和学生未来发展评价的深度检视。在实践过程中发挥学生学习评价的工具性价值,在目的和功能走向上侧重发展性价值。反观我国学习评价的现状及特点,建构由静态教育评价转为生本特征的学生学习评价,数值化指标转为增值能力的指标系列和散乱的评价块转为创生指导的评价方案,力求填补我国学习评价领域的空缺。

简介：ThispaperdealswiththeclassofQ-tensors,thatis,aQ-tensorisarealtensorAsuchthatthetensorcomplementarityproblem(q,A):findinganx∈R~nsuchthatx≥0,q+Ax~(m-1)≥0,andx~T(q+Ax~(m-1))=0,hasasolutionforeachvectorq∈R~n.SeveralsubclassesofQ-tensorsaregiven:P-tensors,R-tensors,strictlysemi-positivetensorsandsemi-positiveR_0-tensors.WeprovethatanonnegativetensorisaQ-tensorifandonlyifallofitsprincipaldiagonalentriesarepositive,andsotheequivalenceofQ-tensor,R-tensors,strictlysemi-positivetensorswasshowediftheyarenonnegativetensors.WealsoshowthatatensorisanR_0-tensorifandonlyifthetensorcomplementarityproblem(0,A)hasnonon-zerovectorsolution,andatensorisaR-tensorifandonlyifitisanR_0-tensorandthetensorcomplementarityproblem(e,A)hasnonon-zerovectorsolution,wheree=(1,1···,1)~T.

简介：Naturalsurfaceswithsuperhydrophobicpropertiesoftenhavemicroorhierarchicalstructures.Inthispaper,thewettingbehavioursofasingledropletonbiomimeticmicrostructuredsurfaceswithdifferentroughnessparametersareinvestigated.Atheoreticalmodelisproposedtostudywettingtransitions.Theresultsoftheoreticalanalysisarecomparedwiththoseofexperimentindicatingthattheproposedmodelcaneffectivelypredictthewettingtransition.Furthermore,anumericalsimulationbasedonthemesoscaleLatticeBoltzmannMethod（LBM）isperformedtostudydynamiccontactangles,contactlines,andlocalvelocityfieldsforthecasethatadropletdisplaysonthemicrostructuredsurface.Asphericalwaterdropletwithrs=15μmfallsdowntoabiomimeticsquare-postpatternedsurfaceundertheforceofgravitywithaninitialvelocityof0.01m·s-1andaninitialverticaldistanceof20μmfromdropletcentretothetopofpots.Inspiteofahigherinitialvelocity,thedropletcanstillstayinaCassiestate;moreover,itreachesanequilibriumstateatt≈17.5ms,whencontactangleis153.16°whichisslightlylowerthanthepredictionofCassie-Baxter’sequationwhichgivesθCB=154.40°.

简介：Thispaperpresentsanewmethodtocontrolthepositionofamicro-columnsnowtarget.Thistargetenablesthemeasurementofthemeanelectrondensityofthepre-plasmacreatedbyapre-pulsewithdifferenttimedelays.Thisresearchwillallowabetterunderstandingofthegenerationoffastprotonsfromtheinteractionbetweenastructuredpre-plasmaandahighintensitylaser.

简介：在一个D输入Hammerstein系统的multivariate非线性的nonparametric鉴定的问题被检验。如果输入大小被组织，在意义，那在那里存在，这被表明在他们之间的某隐藏的关系，即如果他们在一些上是分布式的(未知)在R的d维的空格MD,dD，然后，系统非线性能与集中率O在M上在点被恢复(nd上的1/(2+d))依赖者。这率因此比通用的率O快(n<啜class=“a-plus-plus”>1/(2+D))由典型nonparametric算法完成了并且完全由输入D的数字控制了。

简介：High-strengthsteelshavebeenattractingmoreandmoreattentionofpeople,Unfortunately.deteriorationofductilitylimitedtheirapplications.Tosolvethisproblem,anano-structuredstainlesssteelsheetisdevelopedtocombinehighstrengthandhighductility.Processingofthesurfacemechanicalattritiontreatment(SMAT)wasintroducedtoobtainanano-grainlayeronthedoublesurfaceofthestainlesssteelsheet.Themicrostructureofthenanostructuredsteelsheetischaracterizedbyanalternatedistributionofcoarsegrainedlayerandnanocrystallinelayer.Thenthedualsurfacenano-crystallizedstainlesssteelsheetswereco-warmrolledat500℃.Theexperimentalresultsrevealthatthemechanicalpropertiesofthenanostructuredsteelexhibithighyieldstrengthintherangeof700-950MPaandtensilestrengthhigherthan930MPa.Moreover,elongationtofracturereachesto15%-48%,togetherwithauniformelongationstabilizedto13%-45%.

简介：Atechniqueispresentedforcreatingsurface-adheringdustlayersunderdefinedconditions,andcharacterizingandstressingthelayerscreated.Theproceduredescribedisshowntobesuitableforthequantitativeevaluationoftheeffectsofdifferentparameterssuchasparticlesize,porosityandsurfaceroughnessetc.onthestabilityofparticlelayers.

简介：传统的SLA蓄电池充电控制方法有定时控制、Vmax控制、△V控制、温度控制等。这些充电控制方法均未能有效遵从电池内部的物理化学规律，使整个充电过程存在着严重的过充电和析气等现象，充电效率低。本文针对SLA蓄电池的四阶段充电特点，结合模糊控制和嵌入式技术，提出一种基于ARMCortex—M3LM3S的智能模糊SLA蓄电池充电方案。该充电方案对充分发挥SLA蓄电池的功效，提高对SLA蓄电池的充电速度，减少充电损耗，延长SLA蓄电池的使用寿命具有重要意义。

简介：AnewmethodologyofvoiceconversionincepstrumeigenspacebasedonstructuredGaussianmixturemodelisproposedfornon-parallelcorporawithoutjointtraining.Foreachspeaker,thecepstrumfeaturesofspeechareextracted,andmappedtotheeigenspacewhichisformedbyeigenvectorsofitsscattermatrix,therebytheStructuredGaussianMixtureModelintheEigenSpace(SGMM-ES)istrained.Thesourceandtargetspeaker’sSGMM-ESarematchedbasedonAcousticUniversalStructure(AUS)principletoachievespectrumtransformfunction.Experimentalresultsshowthespeakeridentificationrateofconversionspeechachieves95.25%,andthevalueofaveragecepstrumdistortionis1.25whichis0.8%and7.3%higherthantheperformanceofSGMMmethodrespectively.ABXandMOSevaluationsindicatetheconversionperformanceisquiteclosetothetraditionalmethodundertheparallelcorporacondition.TheresultsshowtheeigenspacebasedstructuredGaussianmixturemodelforvoiceconversionunderthenon-parallelcorporaiseffective.

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