从日月到佛陀——慕容鲜卑的宗教信仰

信奉的原始宗教慕容鲜卑人和生活在中国北方的古代其他民族一样,在对世间万物崇拜的过程中逐渐产生出原始宗教观念。他们崇拜的对象很单纯,主要是自然。自然崇拜是以万物有灵为思想基础     

The ratification of ILO Conventions and the provision of unemployment benefits: An empirical analysis

This article tests the relationship between the ratification of International Labour Organization (ILO) Conventions and the provision of unemployment benefits. Statistical tests focus on two related issues: why countries ratify ILO Conventions on unemployment benefits, and whether ratification influences government spending on unemployment benefits. The main findings are that democracy, region, income, and globalization are the main factors influencing why countries ratify ILO Conventions on unemployment benefits. In turn, the ratification of ILO Conventions is systematically associated with higher spending if countries have ratified more than two Conventions.     

中国社会思想及其现代性——第七届中国社会思想史年会综述

2009年11月13日至15日,由中国社会思想史专业委员会、吉林大学社会发展理论创新基地和吉林大学哲学社会学院联合举办的中国社会思想及其现代性学术研讨会在吉林大学召开,本次会议同时也是中国社会思想史的第七届年会.来自中国社会科学院、南京大学、南开大学、武汉大学、复旦大学、中国人民大学、北京工业大学、山东大学等科研机构和高校的50余名专家学者出席了会议.在两天的会议日程中,与会代表就相关问题展开了热烈讨论,取得了丰硕的成果,现就主要议题和观点作简要梳理.     

高校青年教师师德建设的新视角

文章归纳了以身立教、奉献敬业、博学精思、诚实守信、团队合作、创新发展等新时期高校青年教师师德新内涵;分析了青年教师师德建设面临新的挑战;探讨从体制机制强化师德建设,从源头入口保证青年教师素质,用规范制度约束青年教师行为,用先进文化塑造青年教师品德,用先进典型带动青年教师群体以及以人为本重视青年教师需求等加强青年教师师德建设的新举措。     

科技活动分布集中性的测度

一、科技活动分布的集中性 统计数据表明,科技活动的分布具有高度的集中性,从机构的分布看,主要集中在少数科技实力强的政府部门研究机构、高等学校以及企业,从地域看,主要集中在经济与科技实力强的地区,从学科看,主要集中在活跃的科学技术领域,从行业看,主要集中在技术含量比较高的产业部门.     

Reliability acceptance sampling plans for the Weibull distribution under accelerated Type-I censoring

Type-I censored reliability acceptance sampling plans (RASPs) are developed for the Weibull lifetime distribution with unknown shape and scale parameters such that the producer and consumer risks are satisfied. It is assumed that the life test is conducted at an accelerated condition for which the acceleration factor (AF) is known, and each item is continuously monitored for failure. Sensitivity analyses are also conducted to assess the effect of the uncertainty in the assumed AF on the actual producer and consumer risks, and a method is developed for constructing RASPs that can accommodate the uncertainty in AF.     

Noninformative priors for the common mean in the bivariate normal distribution

In this paper, we consider some noninformative priors for the common mean in a bivariate normal population. We develop the first-order and second-order matching priors and reference priors. We find that the second-order matching prior is also an HPD matching prior, and matches the alternative coverage probabilities up to the second order. It turns out that derived reference priors do not satisfy a second-order matching criterion. Our simulation study indicates that the second-order matching prior performs better than the reference priors in terms of matching the target coverage probabilities in a frequentist sense. We also illustrate our results using real data.     

Noninformative priors for the normal variance ratio

In this paper, we consider noninformative priors for the ratio of variances in two normal populations. We develop first and second order matching priors. We find that the second order matching prior matches alternative coverage probabilities up to the second order and is also a HPD matching prior. It turns out that among the reference priors, only one-at-a-time reference prior satisfies a second order matching criterion. Our simulation study indicates that the one-at-a-time reference prior performs better than other reference priors in terms of matching the target coverage probabilities in a frequentist sense. This work is supported by Korea Research Foundation Grant (KRF-2004-002-C00041).     

A test for abrupt change in hazard regression models with Weibull baselines

We develop a likelihood ratio test for an abrupt change point in Weibull hazard functions with covariates, including the two-piece constant hazard as a special case. We first define the log-likelihood ratio test statistic as the supremum of the profile log-likelihood ratio process over the interval which may contain an unknown change point. Using local asymptotic normality (LAN) and empirical measure, we show that the profile log-likelihood ratio process converges weakly to a quadratic form of Gaussian processes. We determine the critical values of the test and discuss how the test can be used for model selection. We also illustrate the method using the Chronic Granulomatous Disease (CGD) data.