基于团队学习方法在"信号与系统"课程中的实践

基于团队学习( team-based learning, TBL)教学方法强调学生创新能力以及参与意识的培养. 基于 "信号与系统"课程的特点研究了TBL教学方法应用于该课程的可行性, 并进行了教学试点和教学效果对比分析. 团队教学活动主要包括课上的测验和讨论, 以及课下的知识点总结和求解应用题. 实践结果表明: TBL教学法与传统教学法相结合, 不仅提高了学生的学习成绩, 还培养了学生的自主学习意识以及分析问题、 解决问题的能力.     

基于灰色理论的快餐店满意度综合评价

针对多层次评价体系中存在主观因素影响评估结果的客观性与精确性问题,采用灰色理论与多层次综合评价相结合的方法,对信息不完全确知的样本系统进行白化,有效解决快餐店满意度评价信息的不确定问题。并通过该评价模型应用实例分析快餐店满意度评价的实施情况。     

模态系统T的Herbrand定理

模态Herbrand定理研究是模态逻辑领域的重要开放问题.不含Barcan公式的模态系统T的Herbrand定理的获得必须完成两个方向的证明工作:首先是证明相对简单的从右到左方向;而对于相对复杂的从左到右方向,则可以通过在加标公式表列系统K的基础上增加特殊规则获得加标公式表列系统T,证明T的可靠性和完全性,并在此基础上完成从左到右方向的证明.同样的方法还可以用来证明模态系统D、K4、s4的Herbrand定理.     

制定管理信息系统(MIS)总体规划的方法

本文论述了制定管理信息系统总体规划的方法。自顶向下逐层分解与自底向上逐层综合是制定总体规划的有效方法。文章详细讨论了使用这一方法的过程和有关的辅助方法,包括确定規划范围的总体法(Portfolio),定义职能领域、职能、管理活动和有关实体的自顶向下分析,确定系统结构的实体分析与组合、实体活动分析和U-C数据库计划。     

企业薪酬体系的效果研究综述

薪酬体系及其效果问题是人力资源管理实践的一大难点,也是企业管理理论研究的一个热点.首先,薪酬激励研究的理论基础分为工资理论和激励理论两大类;其次,能力工资、宽带工资和可变薪酬是新薪酬体系形式,有效薪酬体系必须与组织背景相匹配;第三,有关薪酬体系的效果研究结论存在争议;第四,薪酬体系与组织匹配研究偏向理论探讨,缺乏实证分析;第五,美国企业的薪酬管理模式是否适合中国的企业是值得研究的课题.同时,薪酬体系的效果研究需要引进"整体报酬"概念,除薪酬外,还需要考虑其他的非货币形式的激励因素.     

实证分析二氧化碳排放量主要影响因素

能源是经济与社会发展的基本动力, 但能源燃烧排放二氧化碳所引起的地球温暖化和气候变化更危及人类的生存。采用1990—2009年煤炭、石油、天然气消费结构数据, 电力生产系数, 道琼斯工业指数, 城镇人口数, 国内生产总值及二氧化碳排放量等统计数据进行灰色关联分析和协整检验;反映二氧化碳排放量与城镇人口数, 国内生产总值, 煤炭、石油、天然气消费结构, 电力生产系数之间的规律性变化, 从而突出协整检验的优越性。结果表明:城镇人口数, 国内生产总值, 煤炭、天然气消费结构, 电力生产系数是二氧化碳排放量的主要影响因素;道琼斯工业指数、石油消费结构是次要影响因素。     

英语科技论文写作与国际检索系统收录规则

近年来国际重要检索系统逐渐导入一系列检索系统的收录规则并以此作为论文检索与收录的标准。国内广大英文科技论文作者应从文题、摘要、关键词和参考文献以及论文编排规范等方面入手 ,了解并适应新的收录规则以指导英语科技论文的写作     

Love in Times of Cholera: Systemic Reflections on Supporting Families Through the Journey(s) of Illness

This paper is the result of our increasing interest in the experience of illness in families and the concomitant reflections on how best to therapeutically support these families through this process. This interest led us to reflect on the nuanced way in which language establishes a play with the experience of illness, a play that can amplify or reduce its effects. Such an interplay in turn led us to consider the valuable role that family therapists have in helping families and treating practitioners to create a safe space for conversation about illness. Further questions are also explored in relation to whether there is a role for family therapists in facilitating the interface between our clinical practice with clients and the wider treating medical community. And, if so, what shape would such an interface take? Considerations at this level would include the anticipation of psychological reactions to diagnosis of chronic and life‐threatening illnesses, in particular the importance of ‘normalisation’ of the psychological reactions to such chronic and/or life threatening diagnoses; the complex dynamics emerging from the interface between the effects of illness in the subjectivity of the ill person and the grief experienced by the other family members; different family members’ narratives of the illness; relevant community contexts; and, lastly, ways to help the family members and/or the ill person navigate the medical system including the use of second opinions, cyberspace information, and other systems in their ecology, such as the spiritual dimension. Some aspects of children's narratives of illness are also identified. The paper has been organised around the dialogue that the authors had around one of their clinical cases.     

For better,for worse? Public support for the capitalist model of the economy

A capitalist market economy is based on several institutional elements, such as private ownership and competition. Does public support for this economic model rise if the economy prospers, and fall during a downturn? Or is public support largely independent of the ups and downs of economic cycles? We hypothesize that positive economic performance increases support and that persons profiting personally are more supportive of the economic system's constitutive institutional elements. Using multilevel regression we study the determinants of individual-level support for the economic system. We also test for differences in the perception of economic performance due to political attitudes and personal properties. The findings partly support the hypotheses, indicating that macro-economic factors matter for individual-level attitudes towards the economy. Attitudes towards different institutional elements of the economic system also differ in the degree to which they are political or economic, and influenced by economic performance. Individual features – education and personal economic stakes – affect attitudes towards the economy, but a substantial share of the individual-level variation in economic attitudes remains unexplained.     

Automating argument construction

Over the past five years the Artificial Intelligence Center at SRI has been developing a new technology to address the problem of automated information management within real- world contexts. The result of this work is a body of techniques for automated reasoning from evidence that we call evidential reasoning. The techniques are based upon the mathematics of belief functions developed by Dempster and Shafer and have been successfully applied to a variety of problems including computer vision, multisensor integration, and intelligence analysis.

We have developed both a formal basis and a framework for implementating automated reasoning systems based upon these techniques. Both the formal and practical approach can be divided into four parts: (1) specifying a set of distinct propositional spaces, (2) specifying the interrelationships among these spaces, (3) representing bodies of evidence as belief distributions, and (4) establishing paths of the bodies for evidence to move through these spaces by means of evidential operations, eventually converging on spaces where the target questions can be answered. These steps specify a means for arguing from multiple bodies of evidence toward a particular (probabilistic) conclusion. Argument construction is the process by which such evidential analyses are constructed and is the analogue of constructing proof trees in a logical context.

This technology features the ability to reason from uncertain, incomplete, and occasionally inaccurate information based upon seven evidential operations: fusion, discounting, translation, projection, summarization, interpretation, and gisting. These operation are theoretically sound but have intuitive appeal as well.

In implementing this formal approach, we have found that evidential arguments can be represented as graphs. To support the construction, modification, and interrogation of evidential arguments, we have developed Gister. Gister provides an interactive, menu-driven, graphical interface that allows these graphical structures to be easily manipulated.

Our goal is to provide effective automated aids to domain experts for argument construction. Gister represents our first attempt at such an aid.