适应万吨级列车的车站信号工程设计与施工中特殊问题的解决

提出万吨级列车车站改造工程中信号设计需要解决的几个技术问题,并给出了新型站内电码化电路,这些电路在施工与运营中得到应用与验证,电路符合设计要求而且安全可靠。     

质的方法在高职院校研究性教育活动中的应用思考——以基层教学单位教研活动为例

质的研究方法是一种通过在自然情境下的双向互动，对研究现象进行整体性探究、继而形成解释性理解的方法。在高职院校，基层教学单位借助该种方法开展教研活动，能够提升教学实践的效果，有助于锻炼教师的教研能力、推进院本教研模式的创新。     

海上石油平台35千伏电缆终端故障的排查与修复

本文介绍了一起利用配电盘带电体超声波检测,结合非接触定位技术,快速排查并修复35kV电缆终端缺陷的案例。通过停电检验和内部刨解查证,对终端缺陷原因进行详细分析,确定该终端缺陷是由于电缆终端制作工艺和电缆安装存在问题所致,同时对缺陷处修理方法进行详解。本文最后对防范35kV电缆终端发生故障提出了建议。     

海洋核动力平台1E级电缆设计概要

本文介绍了陆上核电站1E级电缆的应用和鉴定的基本要求,结合船用电缆的相关标准及海洋核动力平台的特点,简要分析了海洋核动力平台1E级电缆的技术要求要求及鉴定项目,对海洋核动力平台工程设计有一定的参考价值。     

人的可靠性分析方法及其在军事活动中的应用

回顾了人的可靠性分析发展的历史和现状,重点对现在已存在的人的可靠性分析方法进行了介绍分析,提出并简要介绍了两种在军事活动中适用的人的可靠性评估方法的基本原理：基于粗糙集的人的可靠性评估法和基于贝叶斯的人的可靠性评估法,最后分析了人的可靠性研究中存在的问题。     

Modeling Correlation of Family Holiday Activities Based on Structural Equation Model

Previous researches in activities-decision have more in-depth study in context of individuals, while less work has been done within household activity decisions. The structural equation model is applied to analyze the relationship of three household activity categories on holiday using data from 2009 Jinan travel survey. Six attributes were first chosen as exogenous variables for the structural equation model. Meanwhile, six activity characteristic indexes were selected as endogenous variables including activity duration time and activity times in three kinds of activity, hereby Subsistence activity, maintenance activity and discretionary activity. respectively. Then, the paper attempted to discuss the correlation of all types of activities behavior through analyzing not only the influence of household economics and family members factors on activity but the correlation of holiday activities. The research shows that complex relationships among composition of the family, economic status, and activities-decision can be captured by the structural equation model structure. Specifically, the results show that flexibility of three categories activities will affect the activities of decision-making.     

基于博客、IM的高校班级监控管理体系

基于互联网技术的数字平台博客(Blog)、IM等正日益成为高校班级管理和思想教育工作中出现的新的阵地,本文主要论述了建立基于博客、IM网络平台上有效的、立体的班级监控体系,通过建立班级健全的信息库、形成有效的班级管理网络、设置网络博客关注点、建立良好的评价及记录机构来实现班级的有效管理,已解决当前高校班级管理中普遍存在的问题和困难。     

高职院校班级管理工作探析

文章探析了高职院校班级管理工作，班主任要注重培养一支责任心强、素质高的班团干部队伍、建立完善的班级考核管理激励制度、做学生的“良师益友”、加强就业指导，提高学生职业能力，促使学生成为社会建设需要的高素质和技能型的人才。     

Social networks and joint/solo activity–travel behavior

The social dimension of activity–travel behavior has recently received much research attention. This paper aims to make a contribution to this growing literature by investigating individuals’ engagements in joint activities and activity companion choices. Using activity–travel diary data collected in Hong Kong in 2010, this study examines the impact of social network attributes on the decisions between solo and joint activities, and for joint activities, the choices of companions. Chi-square difference tests are used to assess the importance of social network variables in explaining joint activity behavior. We find that the inclusion of social network attributes significantly improves the goodness-of-fit of the model with only socioeconomic variables. Specifically, individuals receiving emotional support and social companionship from family members/relatives are found to more likely undertake joint activities with their family members/relatives; the size of personal social networks is found to be a significant determinant of companion choices for joint activities; and activity companions are found to be significant determinants of travel companions. The findings of this study improve the understanding about activity–travel, especially joint activity–travel decisions.     

Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers

For developing sustainable travel policies, it may be helpful to identify multimodal travelers, that is, travelers who make use of more than one mode of transport within a given period of time. Of special interest is identifying car drivers who also use public transport and/or bicycle, as this group is more likely to respond to policies that stimulate the use of those modes. It is suggested in the literature that this group may have less biased perceptions and different attitudes towards those modes. This supposition is examined in this paper by conducting a latent class cluster analysis, which identifies (multi)modal travel groups based on the self-reported frequency of mode use. Simultaneously, a membership function is estimated to predict the probability of belonging to each of the five identified (multi)modal travel groups, as a function of attitudinal variables in addition to structural variables. The results indicate that the (near) solo car drivers indeed have more negative attitudes towards public transport and bicycle, while frequent car drivers who also use public transport have less negative public transport attitudes. Although the results suggest that in four of the five identified travel groups, attitudes are congruent with travel mode use, this is not the case for the group who uses public transport most often. This group has relatively favorable car attitudes, and given that many young, low-income travelers belong to this group, it may be expected that at least part of this group will start using car more often once they can afford it. Based on the results, challenges for sustainable policies are formulated for each of the identified (multi)modal travel groups.