A longitudinal study of perinatal depression among Chinese high-risk pregnant women

Background

Information is needed on the prevalence of depression in Chinese women with medically defined complications across the perinatal period, as well as key risk factors to develop appropriate perinatal mental health services and ensure the services target those most in need.

Does Internet Use Affect Netizens’ Trust in Government? Empirical Evidence from China

Social Indicators Research - Although the Internet has had a profound influence on China’s economy and society, the empirical research pertaining to political consequences of the Internet is...     

A novel regularization method for estimation and variable selection in multi-index models

Multi-index models have attracted much attention recently as an approach to circumvent the curse of dimensionality when modeling high-dimensional data. This paper proposes a novel regularization method, called MAVE-glasso, for simultaneous parameter estimation and variable selection in multi-index models. The advantages of the proposed method include transformation invariance, automatic variable selection, automatic removal of noninformative observations, and row-wise shrinkage. An efficient row-wise coordinate descent algorithm is proposed to calculate the estimates. Simulation and real examples are used to demonstrate the excellent performance of MAVE-glasso.     

The Key to Precise Poverty Alleviation Rests in the Precise Indentification of Impoverished Populations—An Analysis of the Targeting Effectiveness of China’s Rural Dibao Program

The success of the poverty elimination program, as an important element in the strategy of building a moderately prosperous society in all respects by 2020, depends on the accurate identification of the population living in poverty. An analysis of 2013 data from the China Household Income Project (CHIP 2013) shows that in terms of the income-based poverty line, the targeting of the current rural minimum living standard guarantee or subsistence allowance program (dibao) program is very imprecise; it improves with the use of multidimensional poverty criteria, but coverage remains poor. In order to unify the criteria for the rural poverty alleviation (fupin) criteria and the dibao criteria, a uniform set of national criteria should be established. This should shift from income as the sole criterion to multidimensional criteria, so that a uniform scheme can be developed to identify those in need. At the same time, the coverage of the dibao program should be extended and the transfer amounts increased, so that the scheme genuinely covers all of the target population in rural China.     

我国改革开创期腐败发生源的政治生态学分析

1978～1992年改革开创期党的权力运行中之所以出现腐败现象,从政治生态学维度看在于权力运行的内外生态环境发生了变迁,相应地滋生了诸多特殊化劣变生态因子.在内环境上体现为“文革”中所形成的“病变化”权力运行体系的“遗毒”影响,复归的传统权力运行体系本身所具有的弊端,以及复归的权力运行体系在与环境变迁不同步调适中所形成的不成熟部分和不完善环节等.这些特殊化劣变生态因子导致了改革新条件下反腐败形势及其任务的艰巨复杂性.     

我国人口态势与消费模式对碳排放的影响分析

本文应用STIRPAT扩展模型,考察近30年来我国人口规模、人口结构、居民消费及技术进步因素对碳排放的影响。研究发现,居民消费与人口结构变化对我国碳排放的影响已超过人口规模的单一影响力。居民消费水平提高与碳排放增长高度相关,居民消费模式变化正在成为我国碳排放的新的增长点;人口结构因素中,人口城镇化率的提高通过对化石能源消费、水泥制造及土地利用变化等的影响导致碳排放增长;人口年龄结构变化对生产的影响大于对消费的影响,其对碳排放影响的主要途径是生产领域劳动力的丰富供应;家庭户规模减小导致人均消费支出的增加及总户数消费规模的扩张,以家庭户为分析单位考察其对碳排放的影响具有较高的解释力。针对分析结果,探讨了未来我国低碳社会发展的相关应对之策。     

欠发达地区农村公共服务满意度及其影响因素分析——基于西北五省1478户农户的调查

文章根据西北五省的40个县(市)实地调研数据,采用因子分析法和二元离散选择模型,对农村公共服务满意度及其影响因素进行了实证研究。结果表明,农民满意度的影响主要来自道路、基础教育、医疗、农田水利设施、饮水设施、公共服务供给农民参与情况、农民对村委会的评价、农民对政府的评价等;农民对农村公共卫生、农村文化娱乐、农业科技推广与培训、农村清洁能源的满意度较低;农民满意度基本上不受被调查者性别、文化程度、家庭成员数等变量的影响;农民对农村公共服务的需求具有一定的层次性和阶段性,而农民满意度根据其需求状况具有一定的次序性。     

新中国民族法制建设60年

新中国成立60年来,民族法制建设成就瞩目.经过60年的实践和发展,已基本形成了以<宪法>为基础,<民族区域自治法>为主干,民族自治地方自治条例和单行条例为主要内容,包括国务院及其各部门制定的行政法规、部门规章以及各地方制定的民族方面的法规、行政规章的具有中国特色的社会主义民族法律法规体系,成为中国特色社会主义法律体系的重要组成部分.本文回顾了60年来我国民族法制发展历程和成就,并总结了民族法制建设的基本经验,在此基础上,探讨了民族法制现代化的若干问题.     

人口较少民族的法人类学探讨

我国55个少数民族中人口在10万以下的较小民族有22个,人口较少民族是中华民族多元一体的重要组成部分.人口较少民族经济社会发展取得了巨大进步,但仍然是我国建设全面小康社会和构建和谐社会的重点与难点.本文从法人类学的视角,探讨了人口较少民族的法人类学地位及人口较少民族的政治参与、经济生活、教育发展、宗教信仰、族群发展等现实状况,从各民族地位平等、构建和谐社会、国际人权保护的角度研究了人口较少民族的发展问题,提出了人口较少民族社会经济发展的若干思考.     

Use-related risk analysis for medical devices based on improved FMEA

In order to effectively analyze and control use-related risk of medical devices, quantitative methodologies must be applied. Failure Mode and Effects Analysis (FMEA) is a proactive technique for error detection and risk reduction. In this article, an improved FMEA based on Fuzzy Mathematics and Grey Relational Theory is developed to better carry out user-related risk analysis for medical devices. As an example, the analysis process using this improved FMEA method for a certain medical device (C-arm X-ray machine) is described.