从香港译名与内地译名差异看香港翻译(英文)

一直以来香港对一些英语名称的翻译和内地存在较大差异,这在一定程度上阻碍了两地的政治、经济和文化交流。为了深入地了解这一现象,文章搜集了两地在多个领域中使用的不同译名,通过比较的方法分析了香港译名的翻译特点,发现香港译名具有本土化、人性化和商业化的特点。形成这种现象的原因是两地在翻译过程中采用了不同的目标语和翻译方法,另外,不同的生活方式和文化背景也是原因之一。     

生物电信号激励与探测用微电极阵列

介绍了一种微电极阵列(MEA),该MEA包含60个独立的电极,其中59个为工作电极,一个为参考电极.工作电极成对排列,每一对工作电极分别包含一个激励电极和一个探测电极.结合外围电路,每一对工作电极的组合都可以实现对电极表面培养的生物组织或切片进行4种状态(激励、探测、同时激励和探测、隔离)的控制.MEA采用PCB工艺制...     

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。     

EMDR、适应性信息加工与个案概念化（上）

EMDR是一个整合性的、以咨客为中心的心理治疗方法,它着重于大脑的信息加工系统、烦扰经历的记忆,这些病理学基础不是由器质性的损伤导致的。EMDR强调对临床情境有作用的经历,和那些需要带领咨客达到更健康的心理状态的经历。EMDR作为以经验为主的支持治疗,本文综述其历史、发展和研究,在阐述适应性信息加工模型之后,用一个延续的个案实例来说明了EMDR的个案概念化和8个阶段的治疗。这个方法用于加工那些建立病理学基础的和触发当前功能失调的早期记忆,并为将来恰当的行为提供模板,包括克服技能和（或）发展性的不足所需的知识与行为。整合的EMDR与家庭系统观点的好处是可以提供最综合的治疗效果。     

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.     

Socioeconomic Status– and Gender‐Based Differences in Students’ Perceptions of E‐Learning Systems

Many universities are pursuing increases in on‐line course offerings as a means of offsetting the rising costs of providing high‐quality educational opportunities and of better serving their student populations. However, enrollments in online courses are not always sufficient to cover their costs. One possible way of improving enrollments is through marketing campaigns targeted to specific demographic groups. In this study, we take a first look into how students’ perceptions of e‐learning systems, prior to their enrollment in an online course, vary across socioeconomic status and gender. Findings suggest that prior to taking an online course, working‐class students perceive e‐learning systems more positively than their middle‐class peers but that little difference exists between genders. Armed with this knowledge, universities may improve online course enrollments by marketing online courses specifically to working‐class students or through campaigns aimed at improving middle‐class students’ perceptions of e‐learning systems.