分析Chiral分层媒质特性的一般方法(英文)

提出了一套系统方法用于求解任意导体片位于界面的Chiral分层媒质的谐振频率,衰减因子和电磁场分布。文中的分析是在Fourier变换域的并矢格林函数和矩阵分析的基础上来进行的,给出的公式的最大价值在于它提供了求解Chiral分层媒质问题的方法论。     

中日银行不良债权成因比较分析

银行不良债权是中日两国面临的共同问题。本文在分析中日不良债权现状的基础上,从微观经济学和制度经济学视角对两国不良债权的成因进行了比较分析,并结合我国国情,得出解决这一问题的关键是消除形成金融不良资产的制度性根源,最后提出了化解我国不良债权的几点针对性措施。     

高效液相色谱—核磁共振联用技术

本文简要地综述了高效液相色谱与核磁共振联用技术,并列举了该技术在药物、天然产物以及异构体研究中的应用。     

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.     

青少年性教育的有效抓手：同伴性教育

通过对我国青少年性教育现状的分析,发现父母和老师都没能很好地承担起青少年性教育的重任,造成这一状况的一个重要原因是两代人之间存在着沟通障碍.这就需要大力推广以同辈群体的影响力为基础的同伴性教育.     

大学数学教学改革的探索与思考

文章分析了当前大学数学课程教学中存在的一些问题,结合教学实际,对大学数学教学改革的目标定位进行了探讨,总结了我校数学教学工作在教学观念、教学方法、教学模式、教学内容及教材建设等方面的一些改革措施与效果。     

文化生产力的崛起与发展

马克思提出的文化生产力概念包含着正确把握现代社会智能生产力的指导性原则。文化生产力的提出, 使文化知识从非独立因素变为独立因素,由潜在生产力变为现实生产力。文化生产力的高度发展对现代文明的影响是全方位的,将对旧有的生产生活方式、思维方式、价值观念、教育模式和经营管理及领导决策产生重大影响,从而改变财富的分配方式。改革开放以来,我国文化生产力有了突破性发展,但在总体水平上同发达国家的差距很大。应当强化全民的“文化生产力”意识,建立起国家的技术创新体系和知识创新体系,加大对教育和科技的投入。     

在中学生物学教学中怎样进行爱国主义教育

本文对中学生物学教学如何进行爱国主义教育相关问题加以论述。     

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.