一种预测油田综合含水率的新模型──Logistic目标规划模型

本文将目标规划模型与预测油田综合含水率的Logistic旋回模型相结合，得到一种新的预测模型──Logistic目标规划模型，并将此模型应用于实际预测中，得到令人满意的结果．     

对我国环境影响评价中公众参与的思考

公众参与对于环境影响评价的实施有着至关重要的意义。我国新出台的《环境影响评价法》有关公众参与的内容和程序方面的规定明显不足 ,扩大公众参与的范围 ,设计尽可能明确具体的公众参与程序 ,尤其是相当重要的信息公开程序、说明会程序、听证程序、环境影响评价文件审查程序等 ,并辅之以司法审查的保障机制 ,才能完善我国环境影响评价中的公众参与制度 ,从而使环境影响评价在实践中真正发挥作用     

兵团农业产业化经营的制度创新问题探析

该文分析了兵团农业产业化经营在管理体制创新、经营机制创新、分配体制创新、激励与约束机制创新和人才培养与使用机制创新等几个主要环节面临的问题 ,并提出了对应的创新性建议。管理体制的创新要解决的关键问题是从计划管理手段向市场管理手段的转变 ;经营机制创新面临的主要问题是建立现代企业制度 ;利益分配和约束机制的创新所要解决的主要问题是使农户成为真正的市场主体 ;人才培养与使用制度创新主要应建立对人才选拔与使用的严格制度和规定     

网络环境下高校思想政治教育的创新

思想政治教育是有目的、有计划的教育实践活动 ,如何利用环境 ,重视环境的教育价值是值得探讨的问题。随着信息技术的发展 ,互联网作为信息传播的新媒体正越来越深地影响着高校思想政治教育。本文从网络的特点入手 ,分析和研究网络环境下高校思想政治教育在观念上、方法上和内容上的发展与创新及其创新的实践和理论依据。     

印度学校道德教育管窥

印度道德教育的地位在印度独立后得以凸显,成为其民族统一、国家整合及经济发展过程中的关键一环。通过对印度学校道德教育的内容、途径和特点的简要分析,反思我国目前的学校道德教育,能给我们一些有益的启示。     

《管理会计》教学内容与方法的探讨

新经济条件下高校管理会计教学必然要进行相应的改革。本文从管理会计教学内容上如何与战略管理密切联系、与财务管理课程协调统一,教学方法上如何运用案例教学法两个方面进行了探讨,并提出进一步改进的建议和设想。     

高校美术教育专业的课程建设与教学内容研究——以赤峰学院为例

本文从赤峰学院美术学院美术教育专业的课程建设与教学内容的历史发展变化、目前建设状况研究中剖析优劣,从中分析出较为合理的建设方案,进而,给出赤峰学院美术教育专业的课程建设与教学内容的发展规划。以此来优化赤峰学院美术教育专业的课程设置及教学内容。希望本研究能给予高校美术教育专业的课程建设与教学内容研究现实理论依据。     

Emotional Themes in Cross-Faith Encounters Among MSW Students

Abstract

Shortly after the terrorist attacks of 9/11/2001, graduate students in an elective course on “Spirituality & Social Work” were given an optional assignment to attend services at another faith for three weeks and keep a journal of their experiences. Most allowed the author to conduct a content analysis of these journals for emotional themes. The most common themes were anxiety, surprise, and appreciation for the assignment. Lesser themes included excitement, empathy for minorities, anger, and embarrassment. These findings are discussed in terms of their relevance for social work education. Recommendations include better preparation through requiring research and clarification of the student's role, debriefing students about counter-transference issues, and achieving spiritual empathy through the recognition of spiritual similarities despite religious differences.     

A Sensitivity Analysis of the Social Vulnerability Index

The Social Vulnerability Index (SoVI), created by Cutter et al. (2003) , examined the spatial patterns of social vulnerability to natural hazards at the county level in the United States in order to describe and understand the social burdens of risk. The purpose of this article is to examine the sensitivity of quantitative features underlying the SoVI approach to changes in its construction, the scale at which it is applied, the set of variables used, and to various geographic contexts. First, the SoVI was calculated for multiple aggregation levels in the State of South Carolina and with a subset of the original variables to determine the impact of scalar and variable changes on index construction. Second, to test the sensitivity of the algorithm to changes in construction, and to determine if that sensitivity was constant in various geographic contexts, census data were collected at a submetropolitan level for three study sites: Charleston, SC; Los Angeles, CA; and New Orleans, LA. Fifty-four unique variations of the SoVI were calculated for each study area and evaluated using factorial analysis. These results were then compared across study areas to evaluate the impact of changing geographic context. While decreases in the scale of aggregation were found to result in decreases in the variance explained by principal components analysis (PCA), and in increases in the variance of the resulting index values, the subjective interpretations yielded from the SoVI remained fairly stable. The algorithm's sensitivity to certain changes in index construction differed somewhat among the study areas. Understanding the impacts of changes in index construction and scale are crucial in increasing user confidence in metrics designed to represent the extremely complex phenomenon of social vulnerability.     

Handling Uncertainty in the Cost Effectiveness Healthcare Evaluations. A Review of Statistical Approaches

Healthcare economic evaluation is an analytical tool used with increasing frequency to assist decision making in the choice and financing of interventions and technologies in the healthcare system. The objective of this article is to analyze the different methods of handling with sampling uncertainty in healthcare cost effectiveness evaluations when patient level data are available. The aim of this article is to focus on the strengths and the weakness of each method in order to facilitate the tasks of those who must base their choices on studies of this kind.