学科分类
/ 1
19 个结果
  • 简介:

  • 标签:
  • 简介:Traditionally,SQLquerylanguageisusedtosearchthedataindatabases.However,itisinappropriateforend-users,sinceitiscomplexandhardtolearn.Itistheneedofend-user,searchingindatabaseswithkeywords,likeinwebsearchengines.Thispaperpresentsasurveyofworkonkeywordsearchindatabases.ItalsoincludesabriefintroductiontotheSEEKERsystemwhichhasbeendeveloped.

  • 标签: 关系数据库 关键字搜索 隐藏web 信息系统集成
  • 简介:RMBexchangerateTheexchangerateofRenminbi,theChinesecurrency,witnessedanappreciationofaroundsixpercenttooneU.S.dollarthisyear.OnDecem-ber13,thecentralparityratestoodatRMB7.3568againstonedollar,accordingtotheChineseForeignExchangeTradingSystem,breakingthe7.36mark.

  • 标签: 经济状态 对外贸易 中国 2007年
  • 简介:~~

  • 标签:
  • 简介:

  • 标签:
  • 简介:~~

  • 标签:
  • 简介:Althoughtheproteinsequence-structuregapcontinuestoenlargeduetothedevelopmentofhigh-throughputsequencingtools,theproteinstructureuniversetendstobecompletewithoutproteinswithnovelstructuralfoldsdepositedintheproteindatabank(PDB)recently.Inthiswork,weidentifyaproteinstructuraldictionary(Frag-K)composedofasetofbackbonefragmentsrangingfrom4to20residuesasthestructural"keywords"thatcaneffectivelydistinguishbetweenmajorproteinfolds.Wefirstlyapplyrandomizedspectralclusteringandrandomforestalgorithmstoconstructrepresentativeandsensitiveproteinfragmentlibrariesfromalargescaleofhigh-quality,non-homologousproteinstructuresavailableinPDB.Weanalyzetheimpactsofclusteringcut-offsontheperformanceofthefragmenthbraries.Then,theFrag-KfragmentsareemployedasstructuralfeaturestoclassifyproteinstructuresinmajorproteinfoldsdefinedbySCOP(StructuralClassificationofProteins).OurresultsshowthatastructuraldictionarywithN4004-to20-residueFrag-KfragmentsiscapableofclassifyingmajorSCOPfoldswithhighaccuracy.

  • 标签: PROTEIN FRAGMENT FOLD recognition PROTEIN structure
  • 简介:Basedonthecovariantprolongationstructuretechnique,weconstructtheintegrablehigher-orderdeformationsofthe(2+1)-dimensionalHeisenbergferromagnetmodelandobtaintheirsu(2)×R(λ)prolongationstructures.ByassociatingthesedeformedmultidimensionalHeisenbergferromagnetmodelswiththemovingspacecurveinEuclideanspaceandusingtheHasimotofunction,wederivetheirgeometricalequivalentcounterparts,i.e.,higher-order(2+1)-dimensionalnonlinearSchrdingerequations.

  • 标签: 非线性薛定谔方程 磁链模型 海森堡 EMAIL 变形 磁模型