当代中国农村扶贫开发的历史经验

当代中国农村扶贫开发的历史经验主要是:一、制定符合国情的贫困标准,明确扶贫开发的具体帮扶对象;二、坚持开发式扶贫,把解决贫困问题与对贫困地区进行全面开发结合起来;三、坚持政府主导,广泛动员和组织全社会力量参与扶贫开发;四、积极开展与国际社会在扶贫开发领域中的交流与合作;五、高度重视和充分发挥科技教育在扶贫开发中的重要作用。     

我国刑法对文物的保护及立法完善思考

我国现行刑法对文物的保护主要体现在对妨害文物管理罪、走私文物出口罪、盗窃文物和失职造成珍贵文物流失罪的规定上。纵观刑法对文物保护的规定,在体系、罪名、法定刑等方面存在一些不合理之处。针对我国刑法对文物保护的不足,建议调整妨害文物管理罪的结构,增加过失损毁名胜古迹罪,将过失损毁文物罪改为过失损毁珍贵文物罪,修改故意损毁名胜古迹罪和故意损毁文物罪的法定刑。     

存储区域网络iSCSI协议的通信机制研究

介绍了存储区域网络主要采用的组网协议,包括FC协议、FCIP协议、iFCP协议和iSCSI协议,着重研究了一种利用TCP/IPI网组建存储区域网络的协议-iSCSI协议,分析了iSCSI协议的通信机制,比较了在IP网络上实现iSCSI协议通信的3种方法,开发了一种iSCSI协议数据单元与TCP数据帧间的接口算法及其硬件设计,并用 VHDL语言成功进行了行为级的仿真。     

史料引用致误原因分析

史料是史学研究的基础.但自古以来,由于种种原因,错误的或者事实模糊不清的史料很多,如果不作必要的考证鉴别,很难获得科学的研究成果.造成史料引用致误的原因是多方面的,归结起来主要有:(1)史料本身无误,由于没有正确理解原意或者标点不正确而致误;(2)史料本身无误,由于引用者推断不确而致误;(3)史料内容比较含蓄,由于引用者缺乏深入辨析而致误;(4)没有直接引用原书而致误;(5)因版本不善而造成史料的错误或脱漏;(6)史料本身就有错误.     

Factor analysis for ranked data with application to a job selection attitude survey

Summary.  Factor analysis is a powerful tool to identify the common characteristics among a set of variables that are measured on a continuous scale. In the context of factor analysis for non-continuous-type data, most applications are restricted to item response data only. We extend the factor model to accommodate ranked data. The Monte Carlo expectation–maximization algorithm is used for parameter estimation at which the E-step is implemented via the Gibbs sampler. An analysis based on both complete and incomplete ranked data (e.g. rank the top q out of k items) is considered. Estimation of the factor scores is also discussed. The method proposed is applied to analyse a set of incomplete ranked data that were obtained from a survey that was carried out in GuangZhou, a major city in mainland China, to investigate the factors affecting people's attitude towards choosing jobs.     

基于移动代理的新型IDS维护更新机制设计

提出了一种基于移动代理的新型分布式入侵检测系统。该系统是针对广域网环境专门设计的,数据的处理通过各节点所设置的代理来进行分布式计算,不仅能实现全网络范围内的入侵检测功能,具有良好的可移植性;而且对网络系统和主机的资源占用较低,减少了出现网络瓶颈的可能。还建立了移动代理的新型分布式入侵检测系统的体系结构和理论分析模型,并讨论了该系统的维护更新机制。     

Marginal and association regression models for longitudinal binary data with drop‐outs: A likelihood‐based approach

Longitudinal data often contain missing observations, and it is in general difficult to justify particular missing data mechanisms, whether random or not, that may be hard to distinguish. The authors describe a likelihood‐based approach to estimating both the mean response and association parameters for longitudinal binary data with drop‐outs. They specify marginal and dependence structures as regression models which link the responses to the covariates. They illustrate their approach using a data set from the Waterloo Smoking Prevention Project They also report the results of simulation studies carried out to assess the performance of their technique under various circumstances.     

A note on interval‐censored lifetime data and the constant‐sum condition of oiler,gómez & calle (2004)

Oiler, Gomez & Calle (2004) give a constant sum condition for processes that generate interval‐censored lifetime data. They show that in models satisfying this condition, it is possible to estimate non‐parametrically the lifetime distribution based on a well‐known simplified likelihood. The author shows that this constant‐sum condition is equivalent to the existence of an observation process that is independent of lifetimes and which gives the same probability distribution for the observed data as the underlying true process.     

Temporal pattern in number of staff on sick leave: the effect of downsizing

Summary.  The pattern of absenteeism in the downsizing process of companies is a topic in focus in economics and social science. A general question is whether employees who are frequently absent are more likely to be selected to be laid off or in contrast whether employees to be dismissed are more likely to be absent for the remaining time of their working contract. We pursue an empirical and microeconomic investigation of these theses. We analyse longitudinal data that were collected in a German company over several years. We fit a semiparametric transition model based on a mixture Poisson distribution for the days of absenteeism per month. Prediction intervals are considered and the primary focus is on the period of downsizing. The data reveal clear evidence for the hypothesis that employees who are to be laid off are more frequently absent before leaving the company. Interestingly, though, no clear evidence is seen that employees being selected to leave the company are those with a bad absenteeism profile.     

汉语方言学在语言学上的意义

汉语方言学在过去得不到应有的重视,是因为汉语方言的研究,跟对语音学、音系学、语法、语义、历史语言学、文字学、社会语言学、语言变化等范畴都重视不够有很大的关系。由于过去缺乏全面的调查,以及对方言学认识不足,汉语研究的其他环节便也无法受惠。我们要抓紧机会,多收集材料并进行分析,否则在不久的将来,当许多弱势方言消失以后,很多宝贵的资料也会因此无法寻回。