“缘事说”:中国古代文论中一个被遮蔽的隐体系

与"缘情说"相对,中国古代文学理论中的"缘事说"是围绕着事件概念对文学的本质、发展、创作以及接受重新检视后而建构的一种具有原创性的历史文化诗学。发掘"缘事说"资源的目的是为了探讨和揭示历史叙事、文化叙事、文学叙事及文学生产的基本机制与内在规律,从而为当下戏仿以及经典再生产等文学现实问题提供理论支持。"缘事说"的运作方式是缘事生理、缘事生事和缘事生情,创作方法是托事于物、用事、叙事等。对中国古代文论中"缘事说"的发掘不仅具有深厚的理论意义,而且还具有深切的现实意义。     

Globalizing Risks – The Cosmo‐Politics of SARS and its Impact on Globalizing Sociology

The outbreak of severe acute respiratory syndrome (SARS) in China 2003 endangered individual lives and disrupted societal organization on a trans‐continental level. SARS was rapidly spreading along the international routes of air traffic and therefore was not only treated as a trans‐regionally spread disease but was feared it would become a pandemic threat, i.e. a global epidemic. Drawing on empirical material, the Canadian experience is given special relevance to highlight the global impact of the cosmo‐politics of SARS that directly related local, regional, national and global risk practices, which dramatically reassembled the relations of nature/culture, local/global, private/public etc. The paper also discusses the relevant impact of SARS on a globalizing sociology.     

韩国留学生习得现代汉语运动事件句的偏误分析

现代汉语是卫星框架语言,韩语是动词框架语言。通过分析韩国留学生习得现代汉语运动事件的表达偏误,发现母语是动词框架语言的学习者在学习卫星框架语言时,母语的概念认知模式会迁移到目的语中,从而造成系统的偏误。     

基于项目学习的“体育教育实习指导”课程教学改革

运用项目学习方法,按照确定项目、制定计划、展开学习、制作作品、交流成果、评价水平的程序,以感知、体验、发现、应用、操作、解决实际问题为逻辑线索,对“体育教育实习指导”课程进行教学改革．归纳、提炼出运用项目学习方法的初步经验和启示：紧扣课程标准,科学制定学习计划;合理组合团队,全面获得学习体验;精细管理教学,有效监控学习过程;坚持多元评价,正确引导学生发展．     

贫困大学生心理复原力与其心理健康的关系研究

利用量化研究的方法,对随机抽取的四川省四所高校的437名贫困大学生发放心理复原力量表和心理健康自评量表进行测量,并对测量的数据进行整理、分析,结果表明:贫困大学生的心理复原力水平良好;文理科学生心理复原力存在显著差异,但不存在性别差异。贫困大学生心理复原力能有效地预测其心理健康水平。     

从事件的角度看“述+上来”的语义网络系统

文章从事件的角度对“述＋上来”所表达的语义进行了分析,认为“述＋上来”可表达空间位移事件和状态位移事件,空间位移事件包括物理空间的位移事件和虚拟空间的位移事件。虚拟空间的位移事件义和状态位移事件义都是在物理空间的位移事件义基础上通过隐喻或引申而产生的。     

Lasso penalized semiparametric regression on high-dimensional recurrent event data via coordinate descent

This paper studies a fast computational algorithm for variable selection on high-dimensional recurrent event data. Based on the lasso penalized partial likelihood function for the response process of recurrent event data, a coordinate descent algorithm is used to accelerate the estimation of regression coefficients. This algorithm is capable of selecting important predictors for underdetermined problems where the number of predictors far exceeds the number of cases. The selection strength is controlled by a tuning constant that is determined by a generalized cross-validation method. Our numerical experiments on simulated and real data demonstrate the good performance of penalized regression in model building for recurrent event data in high-dimensional settings.     

Bayesian networks for sex-related homicides: structure learning and prediction

Sex-related homicides tend to arouse wide media coverage and thus raise the urgency to find the responsible offender. However, due to the low frequency of such crimes, domain knowledge lacks completeness. We have therefore accumulated a large data-set and apply several structural learning algorithms to the data in order to combine their results into a single general graphic model. The graphical model broadly presents a distinction between an offender and a situation-driven crime. A situation-driven crime may be characterised by, amongst others, an offender lacking preparation and typically attacking a known victim in familiar surroundings. On the other hand, offender-driven crimes may be identified by the high level of forensic awareness demonstrated by the offender and the sophisticated measures applied to control the victim. The prediction performance of the graphical model is evaluated via a model averaging approach on the outcome variable offender's age. The combined graph undercuts the error rate of the single algorithms and an appropriate threshold results in an error rate of less than 10%, which describes a promising level for an actual implementation by the police.     

Spousal Dissimilarity,Race, and Marital Dissolution

I test the claims that spousal differences in ideational, behavioral, and other traits contribute to elevated rates of marital dissolution among African Americans. Using data from 3 waves of the National Survey of Families and Households (N = 5,424), I find that African American spouses experience high levels of dissimilarity in traits that may produce incompatibility. That dissimilarity can account for part of the difference in marital dissolution risk between African Americans and other groups. African Americans’ higher levels of spousal dissimilarity in certain areas may result from less resolution of spousal differences during initial relationship stages rather than from differences in assortative mating. The results argue for increased focus on how couple‐level factors early in relationships influence racial variation in marital dissolution.     

Distribution Analyzer and Risk Evaluator (DARE) Using Fault Trees

Risk and uncertainty are integral parts of modern technology, and they must be managed effectively to allow the development of reliable, high-quality products. Because so many facets of technology and society involve risk and uncertainty, it is essential that risk management be handled in a systematic manner. Fault-tree analysis is one of the principal methods used in the analysis of systems'safety. Its detailed and systematic deductive structure makes it a valuable tool for design and diagnostic purposes. Point probability and the minimization of the expected failure probability have, until recently, dominated fault-tree analysis. A methodology that incorporates uncertainty analysis, conditional expected risk, and multiple objectives with fault-tree analysis is presented. A computer software package termed the "Distribution Analyzer and Risk Evaluator (DARE) Using Fault Trees," which translates the new methodology into a working decision-support system, is developed. DARE Using Fault Trees is a flexible computer code that is capable of analyzing the risk of the overall system in terms of the probability density function of failure probability. Emphasis is placed on the uncertainty and risk of extreme events. A comparative study between existing codes for fault-tree analysis and DARE demonstrates the strengths of the methodology. A case study for NASA's solid rocket booster is used to perform the comparative analysis.