高校全程就业指导模式构建研究

目前高校就业指导现状已不适应高等教育和社会发展的需要。本文以心理测量指导、职业生涯设计指导、学业指导、择业指导、创业指导、升学指导六大指导为主线建构全程化的就业指导模式,全程就业指导就是从大学一年级开始,根据职业指导理论和大学生发展阶段,对大学生分年级、分阶段,结合学生共性与个性,提供全程化就业指导,以实现双向选择、人职匹配和职业目标。     

利用孔板及均速管进行空气-水两相流单双参数测量研究

本文利用孔板及均速管的组合对空气-水两相流的流量及质量含气率进行了单、双参数测量研究,给出了两种元件的单参数公式及其双参数组合公式。对3种不同孔径的孔板、4组孔板及均速管间距以及两种型号的均速管进行了研究,获得了比较满意的结果。     

哲学的正名与创新

主体性的实践哲学具有一定的时代意义,但它并不是哲学的全部,而是应该在唯物历史观的框架下加以研究。马克思主义哲学是改造、吸收人类各种思想、智慧的“大”哲学,其主体仍然是唯物论和辩证法。哲学的创新就是从各个方面继续深入研究。     

脑死亡立法的社会意义及面临的困难

长期以来,心肺功能完全丧失一直是判定死亡的标准。然而,随着现代医学的进步,这一标准已不再适应科学的发展和社会的需要,脑死亡标准应运而生。世界上已有许多国家接受了脑死亡标准,并制订了相应的法律条例。我国在这方面才刚刚起步,在此过程中必然会遇到一些困难。因此,脑死亡立法应当谨慎进行。     

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.     

突出地域特色的植物科学与技术专业教学改革

培养富有创新精神和开拓能力,理论坚实并具有现代植物生产技能,能够献身生态重建和区域农业发展的应用型高级技术人才。以此作为专业教学改革的基础目标,通过教师队伍素质和水平培养提高,着力相关课程改革,坚持理论教学面对区域农业发展实际,跟踪农业技术发展前沿,强化具有就业市场竞争能力的专业技能培养,通过办学条件的改善,使富有地域特色的专业教学改革取得初步而又明显的成效。     

奴役还是监禁：监狱矫正功能质疑——兼论刑罚的执行

随着刑罚观的改变,作为刑罚执行重要场域的监狱,其功能也在逐步转变,矫正成为现代监狱的核心功能。然而,矫正功能具有正反两方面的内容,必须加以区分。体制化后的监狱并不能真正有效的发挥矫正功能。文章从美国电影《肖申克的救赎》所反映的问题出发,分析了矫正功能的发挥必须具备的前提条件,以及应当注意的问题。同时,对我国监狱改革进行了反思。     

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.