简介:【教学目标】1.语言知识目标(1)Masterthewordsandphrases;noodles,wouldlike,special,size,bowl,mutton,beef,cabbage,potato,order……(2)Mastertheexpressions;Whatwouldyoulike?I'dlikesomenoodles.Whatkindofnoodleswouldyoulike?I'dlikebeefnoodles.Whatsizewouldyoulike?I’dlikealargebowl,please.2.能力目标掌握情态动词would的用法,并能用wouldlike这一结构对食物进行询问并点餐。3.情感目标体会学习英语的乐趣,在小组合作与交流中,增长生活经验,促进人际交往,并养成良好的饮食习惯。【教学重点与难点】(一)重点1.学习日常生活中有关食物的名称。2.含有wouldlike的特殊疑问句及其回答。
简介:针对蜂窝网络下D2D通信系统提出了一种遍历容量分析方法.首先,对蜂窝网络下D2D通信模型进行了概述,并分析了其上行时隙和下行时隙的干扰情况.在D2D通信系统中很难得到瞬时的信道状态信息,故假设基站和终端仅知道统计的信道状态信息,且信道系数服从独立复高斯分布.基于上述假设,针对上行时隙得出DUE的信干噪比(SINR)表达式,并基于该公式推导出DUE的SINR的概率分布函数和概率密度函数,最终推导出DUE的上行遍历容量.利用相同方法,推导出下行遍历容量.仿真结果表明,即使存在较多DUE情况下仍然可以取得较高的遍历容量.研究结果可用于D2D通信系统的设计与优化。
简介:Commerciallyavailablelatticescontainvariouskindsofmorphologicalimperfectionswhichresultingreatdegradationinlattices’mechanicalproperties,therefore,toobtainimperfectioninsensitivelatticestructureisobviouslyapracticalresearchsubject.Hierarchicalstructurematerialswerefoundtobeaclassofpromisinganti-defectmaterials.Thispaperbuildshierarchicallatticebyaddingsoftadhesiontolattice’scelledgesandnumericalresultsshowthatitsimperfectionsensitivitytomissingbarsisminorcomparedwiththeclassiclattice.Softadhesionwithappropriatepropertiesreinforcecelledge’sbendingstiffnessandthusreducethebendingdeformationinlatticecausedbymissingbarsdefect,whichisconfirmedbystatisticalanalysisofnormalizednodedisplacementsofimperfectlatticesunderhydrostaticcompressionandshearloads.
简介:PlatycodinD(PD),从Platycodonis根值孤立的triterpenoidsaponin,是被显示了在几根癌症房间线有anti-proliferative效果的一副著名中草药。这研究的目的是用proteomics途径与PD在hepatocellular癌HepG2房间的治疗以后在细胞的蛋白质决定变化。房间生存能力用MTT试金被决定。proteome被二维的差别胶化电气泳动和帮助矩阵的激光解吸附作用/电离time-of-flight团spectrometry分析。西方的污点分析被用来证实改变的蛋白质的表示。我们的结果证明PD在集中依赖者和时间依赖者礼貌禁止了HepG2房间的增长。十六蛋白质被识别在对待PD的HepG2房间起来调整包括ATP5HOXCT1,KRT9,CCDC40,ERP29,RCN1,ZNF175,HNRNPH1,HSP27,PA2G4,哲学学士,BANF1,TPM3,ECH1,LGALS1,和MYL6三蛋白质(即,RPS12,EMG1,和KRT1)与PD在治疗以后在HepG2房间减少了。在HSP27和哲学学士的变化被西方的弄污进一步证实。在结论,我们的结果为PD的反癌症活动在行动的机制上打开新灯。
简介:AIM:Toinvestigatetheefficacyofneoadjuvantchemoradiotherapy(NACRT)forresectabilityoflocallyadvancedgastriccancer(LAGC).METHODS:BetweenNovember2007andJanuary2014,29patientswithLAGC(clinicallyT3withdistalesophagusinvasion/T4orbulkyregionalnodemetastasis)thatweretreatedwithNACRTfollowedbyD2gastrectomywereincludedinthisstudy.ResectabilitywasevaluatedwithradiologicandendoscopicexamsbeforeandafterNACRT.Usingthreedimensionalconformalradiotherapy,patientsreceived45Gy,withadailydoseof1.8Gy.Theentiretumorextentandtheregionalmetastaticlymphnodeswereincludedinthegrosstumorvolume.PatientspresentingwitharesectabletumorafterNACRTreceivedatotalorsubtotalgastrectomywithD2dissection.ThepathologictumorresponsewasevaluatedusingJapaneseGastricCancerAssociationhistologicevaluationcriteria.PostoperativemorbiditywasevaluatedusingtheNationalCancerInstitute-CommonTerminologyCriteriaforAdverseEventsversion4.0.Overallsurvival(OS)andprogression-freesurvival(PFS)rateswereestimatedusingaKaplan-Meieranalysisandcomparedusingthelog-ranktest.RESULTS:Allpatientswereassessedasunresectablecases.Twenty-fourpatients(24/29;82.8%)showedLAGConpositronemissiontomography-computedtomography(CT)andcontrast-enhancedCT,whereasfourpatients(4/29;13.8%)withvagueinvasionorabutmenttoanadjacentorganunderwentdiagnosticlaparoscopy.Onepatient(1/29;3.4%),initiallyassessedasaresectablecase,underwentan'openandclosure'afterthetumorwasfoundtobeunresectable.Abutmenttoanadjacentorgan(34.5%)wasthemostcommonreasonforNACRT.TheclinicalresponserateonemonthafterNACRTwas44.8%.AfterNACRT,69%(20/29)ofpatientshadaresectabletumor.Ofthe20patientswitharesectabletumor,18patients(62.1%)underwentaD2gastrectomy.TheR0resectionratewas94.4%andtwopatients(2/18;11.1%)showedacompleteresponse.Themedianfollow-updurationwas13.5mo.Theone-yearOSandPFS
简介:Foraccuracyandrapidityofaudioeventdetectioninthemass-dataaudioprocessingtasks,agenericmethodofrapidlyrecognizingaudioeventbasedon2D-HaaracousticsuperfeaturevectorandAdaBoostisproposed.Firstly,itcombinescertainnumberofcontinuousaudioframestobean'acousticfeatureimage',secondly,usesAdaBoost.MHorfastRandomAdaBoostfeatureselectionalgorithmtoselecthighrepresentative2D-Haarpatterncombinationstoconstructsuperfeaturevectors;thirdly,analyzesthecommonalityanddifferencesbetweensubcategories,thenextractscommonfeaturesandreducesdifferentfeaturestoobtainagenericaudioeventtemplate,whichcansupporttheaccurateidentificationofmultiplesub-classesanddetectandlocatethespecificaudioeventfromtheaudiostreamaccurately.Experimentalresultsshowthattheuseof2D-Haaracousticfeaturesupervectorcanmakerecognitionaccuracy5%higherthanonesthatMFCC,PLP,LPCCandothertraditionalacousticfeaturesyielded,andcanmakethetrainingprocessing7-20timesfasterandtherecognitionprocessing5-10timesfaster,itcanevenachieveanaverageprecisionof93.38%,anaveragerecallof95.03%undertheoptimalparameterconfigurationfoundbygridmethod.Aboveall,itcanprovideanaccurateandfastmass-dataprocessingmethodforaudioeventdetection.