The current state of the labor queue: National and regional Evidence

We employ vector autoregressive techniques to determine the current state of the labor queue. Unemployment rate differentials have narrowed in recent years, potentially due to a change in the queue ordering, though a tight labor market and a stable queue would yield similar results. We find no evidence that the queue ordering has changed, which brings into question the resiliency of gains made by minority groups. We employ the same techniques to reveal the state of the queue across geographic regions and find that substantial differences exist across regions, implying variation in the relative labor force status of demographic groups.     

教师制度伦理及其功能

教师制度伦理的核心问题是伦理问题,决定了教师制度的建立和改革要经得起伦理的考验,要有充分的伦理依据。教师制度伦理的调节功能、评价功能、激励功能和约束功能,提高着教师的伦理水平,维护着教育的尊严、公正与秩序。     

论大学英语水平统一测试的优越性

我国现行有两套考试系统用以测试大学英语水平:大学英语46、级考试(CET-4/6)用来衡量非英语专业学生的英语水平,而英语专业48、级(TEM-4/8)考试则用来测评英语专业学生的英语水平。依据Bachman和Palmer语言测试原则,为了保证语言测试的有效性,语言测试任务应该与语言应用任务相对应,这种对应是语言测试的出发点和目的。既然如此,对于非母语的中国大学生而言,就没有必要以英语专业或非英语专业的区分用不同的测试来区分他们的英语水平。从这一点出发,完全可以将现行测试非英语专业学生CET-4/6和测试英语专业学生的TEM-4/8合二为一。问卷调查分析也表明,实行全国大学英语统一测试比分成两套考试系统的英语测试更具优越性。     

火焰原子吸收法测定植物叶片中的微量铅

通过炭化、灰化、混合酸消解和稀硝酸溶解的方法处理样品,利用火焰原子吸收法测定植物叶片中微量铅的含量。待测溶液在0.1～5.0μg.mL-1范围内有很好的线性关系,回归方程为A=0.1053C+0.0071,相关系数为0.9991,检出限为0.006μg.mL-1,特征浓度为0.031μg.mL-1/1%,平均回收率为100.28%。方法适用于测定各种植物叶片中的微量铅含量,可以据此评价环境质量。     

浅谈我国船舶工业中厚板用钢的生产与营销实践

船舶工业是我国钢铁行业特定的重要的消费群体,造船工业与冶金工业存在着最密切的关系.因此,分析国际、国内造船工业的现状和发展趋势及营销实践,对理解和把握船板市场营销有着重要的指导意义.     

大学主体性的失落与建立现代大学制度

大学主体性的失落是当前大学危机的根源所在,其深层的本质在于学术自由精神的丧失。面对当前大学的危机与困境,学术自由应突破外部的社会限制和内部大学主体自身的限制,应以大学学术自由的理想为指针,结合大学的实际情况,积极构建具有我国特色的现代大学制度。     

《中国古代和亲史》评述

人文社会科学高水平的研究成果需要学者长期呕心沥血的钻研和探索。所以,中国学术界历来都推崇“十年磨一剑”的治学方法。崔明德博士倾16年之力所撰写的《中国古代和亲史》(人民出版社2005年6月出版),就是一部学术积淀深厚的民族关系史研究的力作。通读全书,很为书中的原创性内容、会通多学科的理论与研究方法、翔实的史料及精深的辨析所吸引。本文主要就该书的创新方面作一简要评述。第一,开辟了新的研究领域。和亲研究一直是中国民族关系史的重要课题之一,虽然已取得了一批较有影响的研究成果,但还有不少新的研究领域需要开辟,如和亲与丝…     

Bayesian analysis of a marked point process: Application in seismic hazard assessment

Point processes are the stochastic models most suitable for describing physical phenomena that appear at irregularly spaced times, such as the earthquakes. These processes are uniquely characterized by their conditional intensity, that is, by the probability that an event will occur in the infinitesimal interval (t, t+Δt), given the history of the process up tot. The seismic phenomenon displays different behaviours on different time and size scales; in particular, the occurrence of destructive shocks over some centuries in a seismogenic region may be explained by the elastic rebound theory. This theory has inspired the so-called stress release models: their conditional intensity translates the idea that an earthquake produces a sudden decrease in the amount of strain accumulated gradually over time along a fault, and the subsequent event occurs when the stress exceeds the strength of the medium. This study has a double objective: the formulation of these models in the Bayesian framework, and the assignment to each event of a mark, that is its magnitude, modelled through a distribution that depends at timet on the stress level accumulated up to that instant. The resulting parameter space is constrained and dependent on the data, complicating Bayesian computation and analysis. We have resorted to Monte Carlo methods to solve these problems.     

Population constraints on pooled surveys in demographic hazard modeling

In non-experimental research, data on the same population process may be collected simultaneously by more than one instrument. For example, in the present application, two sample surveys and a population birth registration system all collect observations on first births by age and year, while the two surveys additionally collect information on women’s education. To make maximum use of the three data sources, the survey data are pooled and the population data introduced as constraints in a logistic regression equation. Reductions in standard errors about the age and birth-cohort parameters of the regression equation in the order of three-quarters are obtained by introducing the population data as constraints. A halving of the standard errors about the education parameters is achieved by pooling observations from the larger survey dataset with those from the smaller survey. The percentage reduction in the standard errors through imposing population constraints is independent of the total survey sample size.