《山海经》植物名的构词特点

该文从词汇学的角度对《山海经》中记载的211个植物名词进行构词研究,通过全面考察其结构类型与构词成分,揭示了《山海经》中植物名词的一些特点：植物名词以单纯词为主;合成词中偏正结构占绝大多数,其中名名式又是主要形式;植物名中动词性语素很少等,并在此基础上进行了分析与解释。     

现代商法人之基本判别

现代商法人是市场主体体系中最为重要的商人.文章通过对现代商法人突出的法律特征、与商个人及商合伙的比较、我国商法人法定形态的主要表现等几个基本方面的法理及立法分析,揭示出现代商法人应有的法律特质,以求利于理论上和实践中的判别适用.     

论列宁的时代观与现时代

时代问题是科学社会主义理论与实践中的重要问题,列宁对时代含义作了科学概括,提出了研究和把握时代问题的重要性,对他所处的时代进行了论述,概括为帝国主义时代和无产阶级革命时代。二战后时代条件发生了重大变化,出现了新的时代特征,和平与发展取代战争与革命成为现时代主题,但列宁关于科学认识时代问题的重要性,以及他对所处时代的重要论述仍具有现实指导意义。     

古代词体文学批评概说

词体文学批评是我国古代文学批评中独具一格的批评形态.它发端于宋代,承传于元明,兴盛于清代,具有抒情性、感悟性、组合性等审美特征.在古代文学批评史上,具有独特的价值.     

大学办学特色:内涵与影响因素--兼论北京邮电大学的办学特色

办学特色是大学生存与发展的关键因素,它在大学发展的历史中逐渐形成.本文在分析大学办学特色的内涵和影响办学特色形成的因素之后,提出了北京邮电大学的办学特色,并将这些特色分为三种类型:比较明显的特色、正在建设的特色和有潜力成为特色的项目.     

论西部大开发中的和谐西部建设

实施西部大开发战略五年来,西部地区经济社会发展取得了较快发展,为建设和谐西部提供了良好的政治基础、经济基础、社会基础和思想基础.西部大开发中建设和谐西部具有体现民主和法治的精神、张扬公平正义的理念、营造诚信友爱的氛围、成为充满活力的热土、构筑安定有序的环境、达成人与自然和谐相处的关系的基本特征.坚持科学发展观为指导,以大力提高全体社会成员的思想道德素质和科学文化素质,促进人的全面发展为基础,以发挥市场配置资源性的基础性作用,建设服务型政府为动力,以实现社会公正和国家长治久安为着力点是和谐西部建设的主要实现途径.     

老龄化对储蓄和社会养老保障的影响研究

本文从一个两期的世代交叠模型入手,分析了人口老龄化对储蓄和社会养老保障支出的影响。在此基础上运用动态GMM模型对我国2000～2008年地区面板数据进行实证分析。研究结果表明:第一,人均居民储蓄滞后项对基期储蓄的影响作用较大且高度显著;当期老年人口抚养比对人均居民储蓄的影响为负,上期老年人口抚养比对居民储蓄并没有显著影响。第二,人均养老保障支出滞后项对当期人均养老保障支出影响作用较大且高度显著;当期老年人口抚养比对人均养老保障支出有促进作用,而上期老年人口抚养比抑制了人均养老保障支出的增加。     

Residual life estimation based on nonlinear-multivariate Wiener processes

For some operable products with critical reliability constraints, it is important to estimate accurately their residual lives so that maintenance actions can be arranged suitably and efficiently. In the literature, most publications have dealt with this issue by only considering one-dimensional degradation data. However, this may be not reasonable in situations wherein a product may have two or more performance characteristics (PCs). In such situations, multi-dimensional degradation data should be taken into account. Here, for the target product with multivariate PCs, methods of residual life (RL) estimation are developed. This is done with the assumption that the degradation of PCs over time is governed by a multivariate Wiener process with nonlinear drifts. Both the population-based degradation information and the degradation history of the target product up-to-date are combined to estimate the RL of the product. Specifically, the population-based degradation information is first used to obtain the estimates of the unknown parameters of the model through the EM algorithm. Then, the degradation history of the target product is adopted to update the degradation model, based on which the RL is estimated accordingly. To illustrate the validity and the usefulness of the proposed method, a numerical example about fatigue cracks is finally presented and analysed.     

Risk inflation of sequential tests controlled by alpha investing

Streaming feature selection is a greedy approach to variable selection that evaluates potential explanatory variables sequentially. It selects significant features as soon as they are discovered rather than testing them all and picking the best one. Because it is so greedy, streaming selection can rapidly explore large collections of features. If significance is defined by an alpha investing protocol, then the rate of false discoveries will be controlled. The focus of attention in variable selection, however, should be on fit rather than hypothesis testing. Little is known, however, about the risk of estimators produced by streaming selection and how the configuration of these estimators influences the risk. To meet these needs, we provide a computational framework based on stochastic dynamic programming that allows fast calculation of the minimax risk of a sequential estimator relative to an alternative. The alternative can be data driven or derived from an oracle. This framework allows us to compute and contrast the risk inflation of sequential estimators derived from various alpha investing rules. We find that a universal investing rule performs well over a variety of models and that estimators allowed to have larger than conventional rates of false discoveries produce generally smaller risk.     

基于Agent和进化博弈的服务商动态联盟协同管理策略研究

基于进化博弈理论,实现了用于服务商动态联盟协同管理工作的多智能体模拟系统,并进行模拟数据分析。扩展传统对称静态博弈为含惩罚参数和协同效率参数的离散进化博弈情形,设计一种含历史信息和近邻特征的群体进化学习规则;在Repast基础上,用java编程实现了多加盟企业进化博弈Agent模拟系统并进行分析。结果表明:agent规模数对平均收益影响小,具有不同决策特征的agent的比例分布能改变企业的平均收益,不同协同率、沟通方式和惩罚参数对期望收益有影响。为电子商务和移动商务环境下的动态联盟管理决策提供参考。