略谈李煜词的叙事性特征

李煜的词作中叙事完整,叙述场景的空间有限,叙述话语独特。词人以内焦点叙述方式将叙事性和抒情性有机地整合起来,通过特定的场景和简单的因果情节,成功地塑造了自我形象,重构了感人至深的话语世界。     

融贯中西与古今文化诗学的意象体系——鲁迅诗歌意象的类型分析

意象是诗歌的生命。鲁迅诗歌使用了大量的审美意象,融贯中西与古今文化诗学,形成了自己独立的体系。鲁迅诗歌意象为六种类型,以三组对立的形态出现,即:历史性意象/现实性意象;东方意象/西方意象;社会性意象/人化自然的意象。这些意象的使用,昭示了鲁迅忧国忧民的伟大人格,并形成鲁迅自己独特的诗风。同时,他的诗歌与我国传统诗歌相比较,具有鲜明的现代性,与后起的新诗相比,又具有深厚的传统文化诗学的底蕴。     

当代大学生综合素质的缺陷与改善措施

从政治素质、思想素质、社会公德、身体心理状况等四个方面阐述了当代大学生综合素质的缺陷,通过分析研究,提出一系列具体的改善措施,力求以此来促进对大学生综合素质的培养教育,确保大学生全面健康的发展。     

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.     

经济适用住房成本控制体系问题及对策

本文从总结现阶段经济适用房建设的基本模式入手,分析了经济适用房建设中住房成本控制体系中存在的主要问题及其原因,最后提出了若干对策。     

《流体力学》教学改革初探

<流体力学>是土木工程专业的专业基础课,要求学生掌握基础理论知识,培养丰富的实践能力.从教学、实验和考核三个方面讨论了教师在教学中如何提高学生学习的主动性和积极性,从而激发学生的学习兴趣.     

基于非对称性视角的货币政策对房地产价格的动态影响研究

从货币政策的非对称性出发,可分离出货币供给量中的扩张和收缩趋势,结合结构向量自回归模型具体探悉货币政策对房地产价格的动态影响机制.扩张性货币政策拉动房地产价格的作用比紧缩性货币政策降低房地产价格作用更为明显,但总的来说,紧缩性货币政策对房地产价格的调控作用是有效的.     

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.