课程改革中教师关注阶段理论的研究述评

本文介绍了"关注阶段"的理论架构与评定方法,回顾并分析了它在美国、比利时、荷兰、香港以及澳大利亚等文化情境中的运用与发展.在我国新课程改革背景下进行关注阶段研究不仅有利于我们了解新课程实施情况,而且有助于这一理论自身的发展.     

集群式计算机系统在生物信息学中的应用

1　Introduction　SMP (symmetricmulti processing)andMPP (mas sivelyparallelprocessing)arethetwotypesofstruc tureofparallelcomputing .　Symmetricmulti processingsystemshavemultipleCPUsattachedtothesamebusandsharingRAM .Massivelyparallelprocessingisthecooperated pro cessingofaprogrambymultipleprocessorsthatworkondifferentpartsoftheprogram ,witheachprocessorusingitsownoperatingsystemandmemory .ThechoicebetweenSMPandMPPdependsonthenatureoftheproblembeingsolved .Iftheproblemcanbeeasilypartit…     

对Bermond猜想(32)的一个注记

文章对Bermand猜想（2）加强条件后给出了证明。     

基于复杂网络方法的远程教育网站实证研究

目前我国远程教育网站存在资源数量多,但内容联系不够紧密、信息搜索耗时长、信息的安全性与网站的稳定性较差等问题。复杂网络研究可以通过实证方法度量网络的结构特征和形成规则．进而预测网络系统的行为。中关远程教育网站经复杂网络方法实证分析发现：远程教育网站的建设要有统一的规划,要注意信息的排布、层次结构的架构以及内容的联系,提高信息的利用率,并建立有效的病毒防护和故障排除机制。利用复杂网络的链路预测方法和免疫策略还可以在远程教育网站中实现推荐机制和病毒防护。     

Analysis on Chinese/English Code-Switching in Computer-Mediated Communication Based on Meme Theory

Nowadays,computer-mediated communication(CMC) becomes one of the most convenient ways for people to connect with each other in which Chinese/English code-switching has been frequently used and widely spread.The article will memeticly interpret this language phenomenon based on the authentic examples collected from various kinds of CMC,and point out that the Chinese/English code-switching in CMC is a kind of strong memeplex which includes many different strong memes,resulting in the popularity of Chinese/English code-switching in CMC.     

课程内容研究的新视野——TIMSS课程分析工具“主题追踪图”的演进与启示

美国密歇根州立大学施密特教授等人研究开发并完善的TIMSS"主题追踪图"作为重要的整体性课程分析工具,其使用的建模方法有效弥补了传统研究方法的不足。本文通过检索"主题追踪图"的演变轨迹,认为基于该工具的国际课程比较能全面反映各国课程在主题选择与组织层面的异同,而构建的课程连贯性理想模型更是提供了一种全新的课程内容研究思路与范式。     

基于构造-剪枝混合优化RBF网络的煤灰熔点预测方法

为提高煤灰熔点的预测精度,提出了一种基于构造-剪枝混合优化RBF网络的煤灰熔点预测方法.该方法融合了神经网络构造算法和剪枝算法的优点,分为“粗调”和“精调”2个阶段.粗调阶段动态增加隐节点数目直至满足相应的停止准则;精调阶段对粗调得到的RBF网络的结构和参数作进一步调整.基于煤灰的化学组成成分建立相应的构造-剪枝混合优...     

基于视频的城市快速路交通流检测及车辆行为监控

提出一种针对城市快速路的视频监控系统,完成交通流及道路异常行为检测.流量检测模块对车辆进行实时跟踪获得各类交通流统计数据,实现快速路车辆运行状况的全面掌控.异常监控模块运用隐马尔科夫模型,对带有时间和空间信息的车辆轨迹进行训练,获得路径划分后对道路车辆轨迹进行参数匹配,提取诸如超低(高)速行驶、违章停车、违规掉头等异常...     

基于PSO的控制系统中周期性任务的优化调度

控制系统中任务的调度不仅影响系统的资源利用率,而且影响系统的控制性能。首先分析了周期性实时任务,并给出了任务模型。基于此,采用了EDF调度算法。根据系统的性能指标与任务的采样周期的关系,采用粒子群算法对系统性能进行优化。仿真结果表明,这种算法是有效的。     

Prediction of self-reported knowledge with over-claiming, fluid and crystallized intelligence and typical intellectual engagement

We investigated the usefulness of the Over-Claiming Questionnaire (OCQ) as a measure of cognitive abilities. In OCQs respondents are asked to rate their familiarity with items of academic or everyday knowledge (Paulhus, Harms, Bruce, & Lysy, 2003). Some items exist in reality (reals), and others do not (foils). We developed four OCQs, each consisting of 40 reals and 8 foils from the domains of Science, Humanities and Civics. The OCQs were administered in a longitudinal rotation design to 112 participants who attended the 9th school grade at the beginning of the study. In latent variable regression analyses 53% of variation in the reals could be explained by fluid and crystallized intelligence and over-claiming as indicated by responses to foils. Further variation in responses to reals and foils was explained by intellectual engagement. Our results show that self-reported knowledge, although positively related to measures of ability, to a large extent reflects over-claiming.