燃料电池公共汽车的发展动向

燃料电池在公共汽车上的应用，自20世纪80年代开始研究开发，经过不断改进，在少数城市进行载客的运行试验。进入21世纪又在欧洲进一步扩大试验范围.     

新形势下高校辅导员工作模式探讨

本文根据几年来的实践工作经验 ,对未来高校辅导员应采取怎样的工作模式提出了一点见解 ,并将其具体概括为“大船模式”和“系级文化”两个方面。     

钟树梁散文创作研究

钟树梁先生散文创作数量繁多,成果丰硕。其散文创作,讴歌了新中国成立以来成都发生的天翻地覆的变化,为城市的新气象而欢欣鼓舞,灌注了对新生活的热爱,对新事物的关注,使其理性的思辨带着生命的体温,做到了主观真挚与客观真实的较好统一。作者将其丰富的古典文学知识融于散文之中,时而引经据典,时而吟诗填词,信手拈来,适得其体,尤其是散文集中那些发自肺腑的抒情散文、悼念文章,读来感人至深。     

高校人力资源流动的“马太效应”分析

由于人才市场的开放性，我国高校人力资源流动增加，但是由于地区经济发展和高校建设水平的不平衡。现在高校人力资源流动的“马太效应”现象十分严峻，已严重影响了我国中西部高校可持续发展。探寻原因和对策是贯彻落实科学发展观的要求，是实现我国高等教育大众化健康发展的必由之路。     

高层次人才可持续发展环境建设研究——以黑龙江省为例

一个国家或地区能否实现高层次人才的可持续发展,起决定作用的不是物质条件,而是人才环境的综合竞争力.从一定意义上讲,人才的竞争就是人才发展环境的竞争,对人才资源的开发就是对人才环境的开发.通过对黑龙江省高层次人才队伍建设现状进行实证分析,并以"人才软环境"作为解决问题的突破口,则可验证人才环境建设在实现高层次人才可持续发展战略及促进经济发展和社会进步中的基础性与决定性作用.     

从非正规就业的劳动关系看其社会保障问题

近年来,我国的非正规就业以其空前的规模和速度发展,而且已呈现出不断扩大的趋势。非正规就业对社会生活各方面的影响都十分深刻。本文拟从劳动关系的角度,探讨我国非正规就业领域中的社会保障问题。造成非正规就业社会保障问题的主要原因是,适用于正规就业的社会保障制度难以适用非正规就业人员,而这又是由非正规就业劳动关系特点所决定的我国目前的非正规就业,从人员构成看,主要包括农民工、城镇中的下岗和失业人员、个体从业人员、离退休再就业人员、自由职业者等。关于我国非正规就业人员的数量,国内比较权威的政府研究机构估算为1亿至1…     

城镇劳动力市场结构变迁与收入不平等:1989～2009

基于1989～2009年进行的8次全国性城镇住户抽样调查数据,本文利用新近发展的夏普里值分解方法,定量考察了城镇劳动力市场结构变迁如何导致劳动收入不平等的变化。研究结果显示了过去20年里中国城镇劳动收入不平等扩大一方面是市场化改革的必然结果,尤其是在经济转型过程中,教育收益率上升引起社会收入分配机制的变化;但与此同时也存在一些不合理因素,特别是由户籍制度壁垒造成的城乡二元经济社会结构依然存在。夏普里值分解进一步揭示出,所有制、户籍、性别、经验和地区因素对收入不平等的相对贡献率趋于下降,教育和职业对收入不平等的贡献总体上呈上升趋势。其基本政策含义是,减少收入不平等的关键在于降低受教育机会不均等,着重增加人力资本投资,继续推进户籍管理制度改革,进而加快劳动力市场结构性调整。     

Inference Based on Conditional Moment Inequalities

In this paper, we propose an instrumental variable approach to constructing confidence sets (CS's) for the true parameter in models defined by conditional moment inequalities/equalities. We show that by properly choosing instrument functions, one can transform conditional moment inequalities/equalities into unconditional ones without losing identification power. Based on the unconditional moment inequalities/equalities, we construct CS's by inverting Cramér–von Mises‐type or Kolmogorov–Smirnov‐type tests. Critical values are obtained using generalized moment selection (GMS) procedures. We show that the proposed CS's have correct uniform asymptotic coverage probabilities. New methods are required to establish these results because an infinite‐dimensional nuisance parameter affects the asymptotic distributions. We show that the tests considered are consistent against all fixed alternatives and typically have power against n^−1/2‐local alternatives to some, but not all, sequences of distributions in the null hypothesis. Monte Carlo simulations for five different models show that the methods perform well in finite samples.     

Psychometric and Demographic Predictors of the Perceived Risk of Terrorist Threats and the Willingness to Pay for Terrorism Risk Management Programs

A 2009 national telephone survey of 924 U.S. adults assessed perceptions of terrorism and homeland security issues. Respondents rated severity of effects, level of understanding, number affected, and likelihood of four terrorist threats: poisoned water supply; explosion of a small nuclear device in a major U.S. city; an airplane attack similar to 9/11; and explosion of a bomb in a building, train, subway, or highway. Respondents rated perceived risk and willingness to pay (WTP) for dealing with each threat. Demographic, attitudinal, and party affiliation data were collected. Respondents rated bomb as highest in perceived risk but gave the highest WTP ratings to nuclear device. For both perceived risk and WTP, psychometric variables were far stronger predictors than were demographic ones. OLS regression analyses using both types of variables to predict perceived risk found only two significant demographic predictors for any threat—Democrat (a negative predictor for bomb) and white male (a significant positive predictor for airline attack). In contrast, among psychometric variables, severity, number affected, and likelihood were predictors of all four threats and level of understanding was a predictor for one. For WTP, education was a negative predictor for three threats; no other demographic variables were significant predictors for any threat. Among psychometric variables, perceived risk and number affected were positive predictors of WTP for all four threats; severity and likelihood were predictors for three; level of understanding was a significant predictor for two.     

中文网络客户评论的产品特征挖掘方法研究

随着互联网的广泛应用,在Blog、BBS、Wiki等网络站点中出现了大量的针对商品或服务的客户评论,这些客户评论中所包含的丰富信息,对企业管理具有重要的价值.通过数据挖掘算法对客户针对某一产品的大量评论进行分析,可以挖掘出这些产品的主要特征,并有望进一步发现客户对这些特征的意见和态度.在英文世界中已经有学者开始对这一研究进行探索,然而由于语言结构等方面的差异,英文的研究成果尚无法直接应用于中文客户评论的挖掘中.本研究针对中文的特点,提出了面向中文的客户评论挖掘方法.该方法基于改进关联规则算法实现了针对中文产品评论的产品特征信息挖掘.本研究采用通过互联网获得的针对手机、数码相机、书籍等5种产品的评论语料,对该方法进行了数据实验,实验结果初步验证了该方法有效性.