Sick building syndrome and perceived indoor environmental quality: A survey of apartment buildings in Hong Kong

The outbreak of a highly communicable disease, SARS, in Asia in 2003 has revealed the health risk of living in a high-density environment. To show the important connection between human health and environmental quality, this study surveys the prevalence of sick building syndrome (SBS) among apartment residents and their evaluation of indoor environmental quality (IEQ). Based on a sample of 748 households living in Hong Kong, two interesting findings are revealed: (1) nasal discomfort was the commonest home-related SBS symptom despite the absence of any central ventilation system in apartment buildings; (2) noise, rather than ventilation, was the major IEQ problem perceived by residents. Our statistical analysis further showed that residents with SBS symptoms were less satisfied with their IEQ than those without. That is, despite a positive evaluation of specific IEQ criteria with respect to the building residents lived in, if they reported feeling SBS related symptoms, the overall IEQ evaluation of their building could still be negative. This perception bias gives rise to a sample selection problem in measuring perceived IEQ, which has implications on housing management practices and the formulation of a healthy housing policy.     

基于网络环境的交互式教学模式在课堂中的应用研究

随着互联网技术的发展,通过网络进行学习已成为一种趋势。基于网络环境的交互式教学模式在各类教学中广泛应用,为现代教育带来了新观念、新方法和新技术。交互式教学方式自由、灵活,学生获取信息快捷、简便,教师的主导作用明显,教学效率高。     

论我国翻译行业市场化发展的信息化管理策略

翻译服务业务已经渗透到国内各个地区和各个领域，但是与之相伴的一些制约翻译服务市场发展的瓶颈问题也日益显露出来。本文针对存在的问题，充分利用信息技术带来的机遇，对翻译行业市场化发展进行信息化管理可从五方面做起：创建翻译行业信息交流与沟通的平台，建设翻译人才库，规范翻译企业的准入机制，加强翻译技术与管理和完善翻译售后服务体制。     

党报发行中的信息落地问题及其效果优化

党报要很好地影响群众、服务群众，除了内容之外，发行当是重要环节。发行错位、渠道不畅是制约党报发展的关键所在。须从发行入手来解决党报的信息落地问题。为确保良好的落地效果，在强化行政发行力度稳定纸质党报发行这一主渠道的同时，还应积极开辟辅渠道，包括广泛建立公众阅报栏、免费党报进农家书屋、免费开放数字党报，把政策法规性强的新闻信息编辑成书以延长使用寿命等。     

基于神经网络的学生党员考核评价系统的开发

为了高效率、低成本地评价高校学生党员的综合素质,采用BP神经网络技术,开发了学生党员考棱评价系统.该神经网络使用专家提供的100组数据进行训练,训练结果的相对误差为0.4％,采用20组非训练数据进行检验,相对误差为0％.实践表明,即使专家的评价规则很复杂,无法用数学模型直观表达,神经网络也能够仿真专家的思维逻辑,对党员素质进行公平、公正的评价.     

我国核电企业环境会计信息披露探析

目前国际上越来越多的核电企业遵照相关环境报告指南，自愿、定期的在财务报告之外单独披露环境会计报告，以反映核电企业在环境保护方面的业绩。作为对环境最敏感的企业类别之一，我国的核电企业必须直面环境会计信息披露的外部压力，做环境会计信息披露的典范。文章分析了我国核电企业披露环境会计信息的紧迫性，提出了核电企业环境会计信息披露模式的理想选择和演化路径，并探讨了推进核电企业环境会计信息披露的措施。     

Bayesian inference of asymmetric stochastic conditional duration models

This paper extends stochastic conditional duration (SCD) models for financial transaction data to allow for correlation between error processes and innovations of observed duration process and latent log duration process. Suitable algorithms of Markov Chain Monte Carlo (MCMC) are developed to fit the resulting SCD models under various distributional assumptions about the innovation of the measurement equation. Unlike the estimation methods commonly used to estimate the SCD models in the literature, we work with the original specification of the model, without subjecting the observation equation to a logarithmic transformation. Results of simulation studies suggest that our proposed models and corresponding estimation methodology perform quite well. We also apply an auxiliary particle filter technique to construct one-step-ahead in-sample and out-of-sample duration forecasts of the fitted models. Applications to the IBM transaction data allow comparison of our models and methods to those existing in the literature.     

On the simple step-stress model for two-parameter exponential distribution

In this paper, we consider the simple step-stress model for a two-parameter exponential distribution, when both the parameters are unknown and the data are Type-II censored. It is assumed that under two different stress levels, the scale parameter only changes but the location parameter remains unchanged. It is observed that the maximum likelihood estimators do not always exist. We obtain the maximum likelihood estimates of the unknown parameters whenever they exist. We provide the exact conditional distributions of the maximum likelihood estimators of the scale parameters. Since the construction of the exact confidence intervals is very difficult from the conditional distributions, we propose to use the observed Fisher Information matrix for this purpose. We have suggested to use the bootstrap method for constructing confidence intervals. Bayes estimates and associated credible intervals are obtained using the importance sampling technique. Extensive simulations are performed to compare the performances of the different confidence and credible intervals in terms of their coverage percentages and average lengths. The performances of the bootstrap confidence intervals are quite satisfactory even for small sample sizes.     

对现行数理统计方法质量评定判别式若干问题的商榷

通过对《公路工程质量检验评定标准》（ＪＴＪ０７１－９４）各种的质量评定判别式的可靠性的分析和探讨，提 出对现行采用的某些质量评定判别式的几点修正建议．     

基于ITIL的远程教育IT服务管理模型设计

为了解决目前远程教育中IT服务存在的问题,对网络教育学院的IT服务和信息技术基础设施库（ITIL）标准进行了深入研究,提出了适合远程教育的IT服务管理（ITSM）模型,并以北京邮电大学网络教育学院为例,重点描述了模型中的需求分析及需求变更管理、远程教育组织结构设计、应用和基础设施监控管理三个核心流程的设计与实施,该模型为远程教育IT服务提供了解决方案。