In recent years,everyone can tell there is something happening in China’s licensing industry:it is growing unexpectedly well and fast,emerging as a significant force in the global brand licensing market.
The analysis of survival data is a major focus of statistics. Interval censored data reflect uncertainty as to the exact times the units failed within an interval. This type of data frequently comes from tests or situ...The analysis of survival data is a major focus of statistics. Interval censored data reflect uncertainty as to the exact times the units failed within an interval. This type of data frequently comes from tests or situations where the objects of interest are not constantly monitored. Thus events are known only to have occurred between the two observation periods. Interval censoring has become increasingly common in the areas that produce failure time data. This paper explores the statistical analysis of interval-censored failure time data with applications. Three different data sets, namely Breast Cancer, Hemophilia, and AIDS data were used to illustrate the methods during this study. Both parametric and nonparametric methods of analysis are carried out in this study. Theory and methodology of fitted models for the interval-censored data are described. Fitting of parametric and non-parametric models to three real data sets are considered. Results derived from different methods are presented and also compared.展开更多
As the fifth largest licensing market in the world,China has great potential to grow even more impressively.In order to understand the rapidly growing licensing industry in China,the China Toy and Juvenile Products As...As the fifth largest licensing market in the world,China has great potential to grow even more impressively.In order to understand the rapidly growing licensing industry in China,the China Toy and Juvenile Products Association(CTJPA)conducted a professional survey and issued the China Licensing Industry Report 2020.It is the only industrial report in the world that is focused on Chinese licensing.展开更多
提出了仿真可信度评估网(CENS,Credibility Evaluation Net for Simulation)的方法,建立了网的数学定义和原理,给出了网的图示、性质和计算方法.为了进一步反映专家在评估中的不确定性,更真实地评价仿真系统的可信度,将模糊综合评价法...提出了仿真可信度评估网(CENS,Credibility Evaluation Net for Simulation)的方法,建立了网的数学定义和原理,给出了网的图示、性质和计算方法.为了进一步反映专家在评估中的不确定性,更真实地评价仿真系统的可信度,将模糊综合评价法应用于CENS.在介绍了模糊综合评价原理的基础上,建立了模糊CENS体系,提出了模糊CENS的计算方法和使用步骤,并给出了1个仿真可信度评估的应用实例.展开更多
The European Standardization Organizations(ESOs),CEN,CENELEC and ETSI,joined forces with ENISA,the EU Agency for Cybersecurity,to host the 9th Cybersecurity Standardization Conference on March 20 in Brussels,Belgium.
This webinar is jointly organized by CEN and CENELEC,and Ernst&Young(EY),with the participation of the European Commission Desk Officer,who will deliver the opening remarks.This session will focus specifically on ...This webinar is jointly organized by CEN and CENELEC,and Ernst&Young(EY),with the participation of the European Commission Desk Officer,who will deliver the opening remarks.This session will focus specifically on the Toy Safety Directive and General Product Safety Regulation.Additional sector-specific webinars will follow in the coming months.展开更多
由于无人机获取的红外影像具有低对比度、大几何畸变、大影像间倾角以及存在噪声影响等特点,使得无人机红外影像拼接颇为困难。这里首先采用SIFT,SURF及Cen Sur E 3种尺度不变特征检测算子分别对无人机红外影像进行特征匹配实验,验证了C...由于无人机获取的红外影像具有低对比度、大几何畸变、大影像间倾角以及存在噪声影响等特点,使得无人机红外影像拼接颇为困难。这里首先采用SIFT,SURF及Cen Sur E 3种尺度不变特征检测算子分别对无人机红外影像进行特征匹配实验,验证了Cen Sur E算子在红外影像特征提取中的优越性。最后构建了基于Cen Sur E算子的拼接流程,用同一航带5张无人机红外影像进行拼接实验,得到了满意的拼接效果。展开更多
文摘In recent years,everyone can tell there is something happening in China’s licensing industry:it is growing unexpectedly well and fast,emerging as a significant force in the global brand licensing market.
文摘The analysis of survival data is a major focus of statistics. Interval censored data reflect uncertainty as to the exact times the units failed within an interval. This type of data frequently comes from tests or situations where the objects of interest are not constantly monitored. Thus events are known only to have occurred between the two observation periods. Interval censoring has become increasingly common in the areas that produce failure time data. This paper explores the statistical analysis of interval-censored failure time data with applications. Three different data sets, namely Breast Cancer, Hemophilia, and AIDS data were used to illustrate the methods during this study. Both parametric and nonparametric methods of analysis are carried out in this study. Theory and methodology of fitted models for the interval-censored data are described. Fitting of parametric and non-parametric models to three real data sets are considered. Results derived from different methods are presented and also compared.
文摘As the fifth largest licensing market in the world,China has great potential to grow even more impressively.In order to understand the rapidly growing licensing industry in China,the China Toy and Juvenile Products Association(CTJPA)conducted a professional survey and issued the China Licensing Industry Report 2020.It is the only industrial report in the world that is focused on Chinese licensing.
文摘提出了仿真可信度评估网(CENS,Credibility Evaluation Net for Simulation)的方法,建立了网的数学定义和原理,给出了网的图示、性质和计算方法.为了进一步反映专家在评估中的不确定性,更真实地评价仿真系统的可信度,将模糊综合评价法应用于CENS.在介绍了模糊综合评价原理的基础上,建立了模糊CENS体系,提出了模糊CENS的计算方法和使用步骤,并给出了1个仿真可信度评估的应用实例.
文摘金花茶组(Sect. Chrysanthae)植物具有很高的观赏价值,但其开花习性各不相同。为探究金花茶组植物成花机制,本研究以四季金花茶(Camellia perpetua)、金花茶(C. petelotii)和淡黄金花茶(C. flavida) 3种典型的金花茶为材料,克隆了控制成花转变的关键基因FLOWERING LOCUS T (FT)和CENTRORADIALIS1(CEN1)以及它们的启动子,对基因和启动子的结构特点进行分析,并通过RT-qPCR对三种金花茶不同组织中的FT和CEN1的表达进行定量分析。结果显示三种金花茶FT和CEN1编码的氨基酸序列极为相似,推测它们的功能可能相同。基因表达分析显示三种金花茶的FT基因主要在叶片中表达,在花芽、苞片中表达量较低,其中四季金花茶的CperFT基因在嫩叶及其叶柄和幼态叶的叶柄中表达量较高;三种金花茶CEN1主要在逐渐张开、显露色泽的花蕾中表达,且在花器官中表达量各不相同,在叶片、顶芽和花芽中的表达量相对较低。启动子序列分析显示,三种金花茶FT和CEN1启动子均具有不同数量的TATA-box和CAAT-box核心元件,同时激素响应、生物和非生物胁迫响应元件也存在差异。金花茶和四季金花茶的FT和CEN1启动子序列比较接近,淡黄金花茶CflaFT和CflaCEN1与它们相差较大。本研究结果表明三种金花茶开花习性的差异可能不是由FT和CEN1编码的蛋白功能差异引起的,很可能与它们的表达模式差异有关。
文摘The European Standardization Organizations(ESOs),CEN,CENELEC and ETSI,joined forces with ENISA,the EU Agency for Cybersecurity,to host the 9th Cybersecurity Standardization Conference on March 20 in Brussels,Belgium.
文摘This webinar is jointly organized by CEN and CENELEC,and Ernst&Young(EY),with the participation of the European Commission Desk Officer,who will deliver the opening remarks.This session will focus specifically on the Toy Safety Directive and General Product Safety Regulation.Additional sector-specific webinars will follow in the coming months.
文摘由于无人机获取的红外影像具有低对比度、大几何畸变、大影像间倾角以及存在噪声影响等特点,使得无人机红外影像拼接颇为困难。这里首先采用SIFT,SURF及Cen Sur E 3种尺度不变特征检测算子分别对无人机红外影像进行特征匹配实验,验证了Cen Sur E算子在红外影像特征提取中的优越性。最后构建了基于Cen Sur E算子的拼接流程,用同一航带5张无人机红外影像进行拼接实验,得到了满意的拼接效果。
