比较视野中的中国特色社会主义(英文)

中国特色社会主义是马克思主义的基本原理和中国实际与当今时代特征相结合的产物,是中国社会主义初级阶段上的社会主义,是改革开放的社会主义,是资本和市场存在并发挥重要作用的社会主义,是在共产党领导下利用资本主义来进行现代化建设的社会主义。随着历史条件的变化,马克思恩格斯当年提出的科学社会主义理想面临诸多挑战,应对这些挑战,破解当代人类发展的历史之谜,是中国马克思主义者的历史责任。     

政治文明理论与实践问题述评

文章对政治文明的内涵、特征、结构等问题的各种观点做了较详尽的介绍和分析,阐述了建设政治文明的必然性及其意义,指出政治文明建设的总体目标。      

改革开放是发展中国特色社会主义的强大动力

一部改革开放的实践发展史,也是一部马克思主义中国化的理论探索史。深刻的思想解放运动带动了中国特色社会主义实践和理论的伟大飞跃。30年改革开放的伟大实践积累了十分宝贵的历史经验,奠定了中国特色社会主义理论体系的实践基础和科学依据。改革开放是发展中国特色社会主义的强大动力。坚持解放思想、实事求是和生产力标准的观点,坚持科学发展观和正确改革观也就是坚持中国特色社会主义理论体系。进一步改革开放,发展中国特色社会主义,最重要的是坚持中国特色社会主义理论体系的指导。     

两大历史性转变 六十年中国道路

新中国成立60年以来,中国人民在中国共产党的领导下,艰辛探索,实现了两大历史性转变:一是实现了从新民主主义到社会主义的历史性大转变,建立了社会主义基本制度;二是开辟了一条能够使中国成为富强、民主、文明、和谐的现代化国家的中国特色社会主义道路。     

新中国60年法律体系建设研究

新中国60年来,法律体系历经了奠基阶段、起步阶段、初步形成阶段、基本形成并日臻完善阶段。我国在中国特色社会主义法律体系建设过程中取得了相当经验,同时,在现实中还存在一定的问题。对中国特色社会主义法律体系进行回顾与展望,可以让我们汲取经验,为依法治国基本方略的实现奠定良好的法制基础。     

神话传说与族群认同——立足于盘瑶渡海神话的考察

渡海神话在盘瑶中广为流传,成为该族群的社会记忆。渡海神话强化了盘王子孙的认同感和归属感,确立了共同的祭祀团体和瑶人十二姓等族群标识。这些标识随着渡海神话的不断演述而得到认定和传承。渡海神话是盘瑶神圣的口述史,强化着盘瑶的自我认同,也成为区别其他族群的显要文化表征。     

Empirical Uncertain Bayes Methods in Area‐level Models

Random effects model can account for the lack of fitting a regression model and increase precision of estimating area‐level means. However, in case that the synthetic mean provides accurate estimates, the prior distribution may inflate an estimation error. Thus, it is desirable to consider the uncertain prior distribution, which is expressed as the mixture of a one‐point distribution and a proper prior distribution. In this paper, we develop an empirical Bayes approach for estimating area‐level means, using the uncertain prior distribution in the context of a natural exponential family, which we call the empirical uncertain Bayes (EUB) method. The regression model considered in this paper includes the Poisson‐gamma and the binomial‐beta, and the normal‐normal (Fay–Herriot) model, which are typically used in small area estimation. We obtain the estimators of hyperparameters based on the marginal likelihood by using a well‐known expectation‐maximization algorithm and propose the EUB estimators of area means. For risk evaluation of the EUB estimator, we derive a second‐order unbiased estimator of a conditional mean squared error by using some techniques of numerical calculation. Through simulation studies and real data applications, we evaluate a performance of the EUB estimator and compare it with the usual empirical Bayes estimator.     

A Tiered Framework for Risk‐Relevant Characterization and Ranking of Chemical Exposures: Applications to the National Children's Study (NCS)

A challenge for large‐scale environmental health investigations such as the National Children's Study (NCS), is characterizing exposures to multiple, co‐occurring chemical agents with varying spatiotemporal concentrations and consequences modulated by biochemical, physiological, behavioral, socioeconomic, and environmental factors. Such investigations can benefit from systematic retrieval, analysis, and integration of diverse extant information on both contaminant patterns and exposure‐relevant factors. This requires development, evaluation, and deployment of informatics methods that support flexible access and analysis of multiattribute data across multiple spatiotemporal scales. A new “Tiered Exposure Ranking” (TiER) framework, developed to support various aspects of risk‐relevant exposure characterization, is described here, with examples demonstrating its application to the NCS. TiER utilizes advances in informatics computational methods, extant database content and availability, and integrative environmental/exposure/biological modeling to support both “discovery‐driven” and “hypothesis‐driven” analyses. “Tier 1” applications focus on “exposomic” pattern recognition for extracting information from multidimensional data sets, whereas second and higher tier applications utilize mechanistic models to develop risk‐relevant exposure metrics for populations and individuals. In this article, “tier 1” applications of TiER explore identification of potentially causative associations among risk factors, for prioritizing further studies, by considering publicly available demographic/socioeconomic, behavioral, and environmental data in relation to two health endpoints (preterm birth and low birth weight). A “tier 2” application develops estimates of pollutant mixture inhalation exposure indices for NCS counties, formulated to support risk characterization for these endpoints. Applications of TiER demonstrate the feasibility of developing risk‐relevant exposure characterizations for pollutants using extant environmental and demographic/socioeconomic data.     

在厦门岛内外一体化进程中加强对台合作的思考

在岛内外一体化建设进程中发挥厦门的对台优势,具有重要的意义和现实的可能。总体思路是:优化提升岛内功能,在现代服务业方面加快与台湾对接的步伐;以原有的产业布局为基础,发挥岛外各区的独特优势,通过拓展对台产业合作,强化产业集聚;将对台农业合作打造成厦门岛内外一体化的亮点;发挥闽南民间信仰和传统文化的优势,促进厦台文化交流,进一步增强台湾同胞对祖国大陆的认同感和向心力;抓住对台先行先试的难得机遇,在两岸经贸交流与合作中继续发挥龙头示范作用。     

《清真释疑》研究

金天柱是清初回族学者,曾在清翰林院任教习,期间著述《清真释疑》一部。与明末清初其他“回儒”们相比,在同儒家的关系问题和对待释道的态度上,金天柱有其独特之处,但却没有得到学界应有的重视,他唯一的传世之作也鲜有学者关注。本人在马来西亚攻读博士期间,选择《清真释疑》作为博士论文进行了研究,并译成英文,现将部分研究成果加以整理...