高校思想政治隐性教育资源刍议

提高高校思想政治教育的实效性,成为当前高校思想政治教育工作者直接面对并亟待解决的问题。文章从高校思想政治教育资源分析为切入点,重点对高校思想政治教育中常常被忽视的思想政治隐性教育资源及其开发与利用展开初步的探讨,提出要提高高校思想政治教育的实效性,必须规划设计高校思想政治显性教育资源与隐性教育资源两大思想政治教育资源,形成结构合理、功能互补的高校思想政治教育资源体系,从而加以充分的开发与利用,努力实现高校思想政治教育的实效性。     

用相关同调概念统一表述电磁位和规范变换的尝试

对由非闭外微分式表示的电磁量,运用相关同调的概念引入其电磁位和规范交换,使闭微分式、非闭微分式的电磁位以及规范变换均可以统一地由相关同调的概念给出。     

由Hallen互易关系给出的天线阻抗公式

由Ｈａｌｌｅｎ互易关系式获得了与现有形式不同的振子输入阻抗公式，且在总电流是由正弦电流及其余项所构成的假设下，证明了新的公式是和已有的电磁理论所给出的结果完全一致的。     

潜思维与创造

探索潜意识的奥秘 ,考察作为潜思维的直觉和灵感在艺术与科学创造中的作用。     

Performance-Based Budgeting: The U.S. Experience

In the United States, it is premature to claim that performance-based budgeting (PBB) will replace line-item budgeting in near future, particularly at the federal and state level. This article attempts to (1) provide a brief historical context of PBB in the U.S.; (2) identify some challenges associated with the theoretical underpinnings and operational principles of PBB; (3) document current practice and research pertaining to designing and implementation; and (4) discuss the prospect of PBB. The locus of PBB in the 21St century will be local, the focus will be comparative, and the impetus will come mainly from the media.     

重庆三峡库区农村移民教育隐患问题研究

三峡工程的关键在移民,移民的关键在于可持续发展,可持续发展的关键在教育.对重庆三峡库区学生、教师、家长进行了抽样调查,结果表明,重庆三峡库区农村移民教育在教育的普及性、环境的适应性以及发展的可持续性方面均存在隐患问题,这些隐患问题严重制约着库区农村移民教育的发展,希望有关部门能重视这些问题并采取相应的措施.     

基于主成分分析的辽宁省城市竞争力评价

辽宁省经济社会发展存在地区间差异,研究辽宁省各大城市竞争力可以掌握其经济现状和发展潜力,为城市发展战略的制定提供科学依据。运用主成分分析法对17个竞争力指标进行分析,并将其归纳成经济实力、基础设施、人才科技水平、政府作用、对外开放程度5个维度。根据综合得分排列辽宁省各城市竞争力顺序,并解释各主要成分,据此提出对策建议。     

Plan Evaluation: Challenges and Directions for Future Research

Plan evaluation is a well-established part of the planning canon. While this subject has received considerable attention from planning scholars in recent years, plan evaluation methods are not commonly used in practice. This paper examines the factors that contribute to the underuse of plan outcome evaluation in local government planning practice. The concept of evaluation is explained, and the relationship that exists between program evaluation and plan evaluation is explored.     

The impact of restructuring on employee well-being: a systematic review of longitudinal studies

This is a review of published longitudinal empirical research on the impact of restructuring on employee well-being. We investigated whether restructuring accompanied by staff reductions impacts differently on worker well-being than restructuring without staff reductions, and the differences between short- and long-term effects of restructuring. Furthermore, we investigated the mechanisms that explain these effects. We conducted a literature search on longitudinal, peer-reviewed, English-written studies from the period 2000–2012. Thirty-nine papers fulfilled the inclusion criteria. We found that restructuring events, with and without staff reductions, mainly have a negative impact on the well-being of employees. The majority of studies showed negative changes over time, in the short and the long term. Some groups of workers reacted less negatively: for example, workers with a high organizational status before a merger and workers who underwent a change in workgroup. Variables that intervened in the relationship between restructuring and well-being were physical demands, job control, communication, provision of information, training, procedural justice, job insecurity and change acceptance. Further high-quality longitudinal research is needed to get more insight into the impact of restructuring over time and into the part played by intervening variables.     

Robust interval forecasting algorithm based on a probabilistic cluster model

For substantiation of managerial decisions the forecasting results of dynamic indicators are used. Therefore, forecasting accuracy of these indicators must be acceptable. Consequently, forecasting algorithms are constantly improved to get the acceptable accuracy. This paper considers a variant of the method of forecasting binary outcomes. This method allows prediction of whether or not a future value of the indicator exceeds a predetermined value. This method ‘interval forecasting’ was named. In this paper a robust interval forecasting algorithm based on a probabilistic cluster model is proposed. The algorithm’s accuracy was compared with an algorithm based on logistic regression. The indicators with different statistical properties were chosen. The obtained results have shown the accuracy of both the algorithms is approximately similar in most cases. However, the cases when the algorithm based on logistic regression demonstrated unacceptable accuracy, unlike the presented algorithm have been identified. Thus, this new algorithm is more accurate.