湘绣题材的功能形成、分类及文化内涵

湘绣创作离不开题材的选择,为了给湘绣创作者提供更多的选择参考,有必要对湘绣题材的 功能形成进行探讨,对众多已出现的湘绣题材进行分类并分析其文化内涵。理论上,湘绣题材的选择 范围相当广泛,但在湘绣的实际创作中,其题材选择受到诸多因素的影响。其中,文化因素是决定湘 绣题材选择的隐性因素,实际用途是影响湘绣题材选择的显性因素。从其用途上看,湘绣题材可分为 祈福禳灾、赏心悦目、怡情悦性、修身养性四大类型,并且每一类型都具有独特的文化内涵和代表性 作品。     

基于沟通过程模式的项目利益相关者沟通效能评价研究

项目利益相关者沟通效能是决定项目成败的关键因素。为了科学评价项目利益相关者沟通效能,文章在梳理沟通过程经典模式的基础上,结合项目沟通的特征,构建项目沟通过程模式,并据此设计项目利益相关者沟通效能评价指标体系,从利益相关者识别、沟通规划、信息传递、沟通成果4个维度测评项目沟通的过程性效能和结果性效能。最后,采用三角模糊数层次分析法确定各个评价指标的权重,采用物元分析法对待评项目沟通效能进行等级评价,并通过算例验证了评价模型的有效性。     

论刑事审判监督程序的提起

目前我国审判监督程序的提起受到的限制很少 ,这在一定程度上会影响对判决既判力的维护 ,并进而影响司法的权威和被告人的权益。刑事诉讼中应树立审判监督程序是一事不再理原则例外的新理念 ,在程序上应对审判监督程序提起进行严格的限制     

Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor model

Seoul, the capital city of Korea with over 10 million residents, has been experiencing serious air pollution problems. Previous studies on source apportionment of PM2.5 in Seoul are based on measurements of chemical compositions of PM2.5 from a single monitoring site. In this paper, we analyse PM2.5 concentration data collected from multiple sites in 24 districts of Seoul and estimate regional source profiles using Bayesian multivariate receptor model. The regional source profiles provide information for the identification of major PM2.5 sources as well as the regions relatively more seriously affected by each source than other regions. These regional characteristics relevant to PM2.5 can help establish effective, customised, region-specific PM2.5 control strategies for each region rather than general strategies that apply to every region of Seoul.     

从《警察与赞美诗》看“欧·亨利风格”

本文从近年来国内对欧·亨利代表作《警察与赞美诗》研究中存在的问题入手，剖析欧·亨利小说的主题和创作特点。欧·亨利的作品之所以精彩，不是因为他对于创作手法和写作技巧的熟练驾驭，而在于他洞悉社会弱势群体的喜怒哀乐，真实而深刻地刻画出美国社会“小人物”的生活与命运。真实性才是欧·亨利小说的灵魂。     

对马克思主义哲学本体论语境的再澄清

马克思主义哲学的本体论是“二元本体论”,即既是本原意义上的物质本体论,又是社会历史领域本质意义上的实践本体论,二者不可或缺。     

债的客体问题新探

债的客体应该是在债之中每一对权利义务所指向的对象。所有类型的债的客体构成，都是二元结构的，一部分是债务人所做出的履行义务的行为即给付行为；另一部分是该给付行为所指向的特定的物或其他财产以及特定的事实等，即给付行为标的。劳务之债的客体也都应该是给付行为＋给付行为标的这种二元结构的，劳务之债客体中给付行为标的有多种多样的表现形式。     

Development of the PEARLS model (Particulate Exposure from Ambient to Regional Lung by Subgroup) and use of Monte Carlo simulation to predict internal exposure to 2.5 in Toronto.

Air pollution is a current and growing concern for Canadians, and there is evidence that ambient levels that meet current exposure standards may be associated with mortality and morbidity in Toronto, Canada. Evaluating exposure is an important step in understanding the relationship between particulate matter (PM) exposure and health outcomes. This report describes the PEARLS model (Particulate Exposure from Ambient to Regional Lung by Subgroup), which predicts exposure distributions for 11 age-gender population subgroups in Toronto to PM2.5 (PM with a median aerodynamic diameter of 2.5 microm or less) using Monte Carlo simulation techniques. The model uses physiological and activity pattern characteristics of each subgroup to determine region-specific lung exposure to PM2.5, which is defined as the mass of PM2.5 deposited per unit time to each of five lung regions (two extrathoracic, bronchial, bronchiolar, and alveolar). The modeling results predict that children, toddlers, and infants have the broadest distributions of exposure, and the greatest chance of experiencing extreme exposures in the alveolar region of the lung. Importance analysis indicates that the most influential model variables are air exchange rate into indoor environments, time spent outdoors, and time spent at high activity levels. Additionally, a "critical point" was defined and introduced to the PEARLS to investigate the effects of possible threshold-pathogenic phenomena on subgroup exposure patterns. The analysis indicates that the subgroups initially predicted to be most highly exposed were likely to have the highest proportion of their population exposed above the critical point. Substantial exposures above the critical point were predicted in all subgroups for ambient concentrations of PM2.5 commonly observed in Toronto after continuous exposure of 24 hours or more.     

我国大学科技园的发展势态及问题探讨

兴办大学科技园 ,把高校人才和技术优势转化为产业和经济优势 ,是推动科技成果转化和高新技术产业化、提高我国技术创新能力和国际竞争力的客观要求。我国大学科技园从借鉴、试点到全面启动 ,有许多需要认真研究和探索的问题 ,主要包括科技园的功能定位问题、科技园的建设模式问题、高等院校的资源如何更好地对科技园开放的问题、科技园的管理体制及企业运行机制问题以及国家和地方在政策和资金上对科技园的支持问题。     

Estimates of the Health Risk Reductions Associated with Attainment of Alternative Particulate Matter Standards in Two U.S. Cities

As part of its periodic re-evaluation of particulate matter (PM) standards, the U.S. Environmental Protection Agency estimated the health risk reductions associated with attainment of alternative PM standards in two locations in the United States with relatively complete air quality data: Philadelphia and Los Angeles. PM standards at the time of the analysis were defined for particles of aerodynamic diameter less than or equal to 10 microm, denoted as PM-10. The risk analyses estimated the risk reductions that would be associated with changing from attainment of the PM-10 standards then in place to attainment of alternative standards using an indicator measuring fine particles, defined as those particles of aerodynamic diameter less than or equal to 2.5 microm and denoted as PM-2.5. Annual average PM-2.5 standards of 12.5, 15, and 20 microg/m3 were considered in various combinations with daily PM-2.5 standards of 50 and 65 microg/m3. Attainment of a standard or set of standards was simulated by a proportional rollback of "as is" daily PM concentrations to daily PM concentrations that would just meet the standard(s). The predicted reductions in the incidence of health effects varied from zero, for those alternative standards already being met, to substantial reductions of over 88% of all PM-associated incidence (e.g., in mortality associated with long-term exposures in Los Angeles, under attainment of an annual standard of 12.5 microg/m3). Sensitivity analyses and integrated uncertainty analyses assessed the multiple-source uncertainty surrounding estimates of risk reduction.