信息社会大学生思想建设的策略研究

信息社会对大学生思想造成了巨大的冲击,高校必须制定针对信息社会特点的思想政治教育策略。     

和谐社会视域中的利益关系与企业社会责任

本文通过对企业社会责任与利益关系协调的探讨,建议企业在建立现代企业制度的同时,也要承担相应的社会责任,促进利益关系协调,推动社会各个方面和谐发展,共同进步。     

私法自治原则的基础

私法自治的原则萌芽于罗马法,产生于18、19世纪资产阶级革命的历史背景下,并被《法国民法典》以明确的条文确认。私法自治于18世纪末19世纪初得到法律的确认有其深刻的理论基础与实践基础:它奠基于当时的哲学、伦理学以及经济学的理论基础之上,又扎根于市民社会与政治国家分离的实践基础上。     

Social perception of natural risks by local residents in developing countries—The example of the coastal area of Benin

Risk management and planning activities cannot be sustainably and efficiently implemented unless being based on a participative approach resulting from the problem consciousness and perception of the local inhabitants. This requires that the measures linked to problem perception and assessment by local stakeholders, above all by the population affected, are known. This investigation conducted in the flat Beninese coastal lagoon areas aims to assess the local inhabitants’ risk perception. The results are the following: (i) the stakeholders have group-specific ways of risk perception (according to ethnicity, social group, age); (ii) every risk management strategy should be based on the group-specific ways of risk perception and assessment; (iii) the acceptance of a given risk management strategy including interactive ways of participation can be advanced through education, dissemination of risk information as well as through communication between stakeholders.     

“承认”作为国家秩序与国际秩序的原则

费希特和黑格尔都在国家间的承认和个人阃的承认之间进行类比.在他们那个时代,西方国家的契约社会已经建立起来,个体之间不再需要为承认而斗争;在国际事务中,国与国之间仍然处干自然状态,仍需要为承认而斗争.当今世界,国家之间的相互承认已经成为国际交往的前提,承认范畴已经不再是国际法的逻辑起点.     

城镇化:乡镇政府职能转变的新背景论析

城镇化在推动中国经济社会发展过程中起着重要作用。实施城镇化战略,是解决我国三农问题的重要途径,是实现城乡经济社会统筹协调发展的必然要求,是加快工业化发展的必然结果,是建设社会主义新农村的重要选择。我国现有的城镇化发展水平、经济体制改革的目标、城镇化的成本与效益等因素是中国特色城镇化道路的选择依据。在城镇化进程中,乡镇政府要转变计划经济体制中依靠行政命令自上而下搞城镇化建设的做法,依靠经济和法律手段,科学干预、合理引导,从而不断加快城镇化进程。城镇化的发展,为乡镇政府职能转变提供了一个全新的背景。     

产学研结合与社会发展

产学研结合不仅是一种教育模式,更是一种科技创新转换和社会发展模式。产学研结合研究结合国外经营,有些模式可以借鉴,但基于中国自己国情,中国有自己不同模式。基于此,对于产学研结合在中国发展的未来给以展望,知识产权保护,高校多元治理,充分调动各方积极性,联合高校政府企业社会各方进行跨区域跨学科的综合合作。     

我国社会福利的发展取向:走进福利国家——基于风险社会理论的分析

风险社会理论是西方学者关于晚期现代性社会问题的一种思考。它虽然不能直接应用到我国语境中来,但能够促进我们对转型中的社会问题加以反思。从这个意义上,我国解决转型中的社会问题与社会风险的方略也与西方是不同的。当前中国正面临着多重社会风险,并且这些风险是不平等地分配的。要化解风险,需要我们建立制度化的社会福利制度,促进劳动力的去商品化、满足社会需要和维护社会公平。从长期来看,我们需要重返福利国家。     

Setting tolerance limits for statistical project control using earned value management

Project control has been a research topic since decades that attracts both academics and practitioners. Project control systems indicate the direction of change in preliminary planning variables compared with actual performance. In case their current project performance deviates from the planned performance, a warning is indicated by the system in order to take corrective actions.Earned value management/earned schedule (EVM/ES) systems have played a central role in project control, and provide straightforward key performance metrics that measure the deviations between planned and actual performance in terms of time and cost. In this paper, a new statistical project control procedure sets tolerance limits to improve the discriminative power between progress situations that are either statistically likely or less likely to occur under the project baseline schedule. In this research, the tolerance limits are derived from subjective estimates for the activity durations of the project. Using the existing and commonly known EVM/ES metrics, the resulting project control charts will have an improved ability to trigger actions when variation in a project׳s progress exceeds certain predefined thresholdsA computational experiment has been set up to test the ability of these statistical project control charts to discriminate between variations that are either acceptable or unacceptable in the duration of the individual activities. The computational experiments compare the use of statistical tolerance limits with traditional earned value management thresholds and validate their power to report warning signals when projects tend to deviate significantly from the baseline schedule.     

A Tiered Framework for Risk‐Relevant Characterization and Ranking of Chemical Exposures: Applications to the National Children's Study (NCS)

A challenge for large‐scale environmental health investigations such as the National Children's Study (NCS), is characterizing exposures to multiple, co‐occurring chemical agents with varying spatiotemporal concentrations and consequences modulated by biochemical, physiological, behavioral, socioeconomic, and environmental factors. Such investigations can benefit from systematic retrieval, analysis, and integration of diverse extant information on both contaminant patterns and exposure‐relevant factors. This requires development, evaluation, and deployment of informatics methods that support flexible access and analysis of multiattribute data across multiple spatiotemporal scales. A new “Tiered Exposure Ranking” (TiER) framework, developed to support various aspects of risk‐relevant exposure characterization, is described here, with examples demonstrating its application to the NCS. TiER utilizes advances in informatics computational methods, extant database content and availability, and integrative environmental/exposure/biological modeling to support both “discovery‐driven” and “hypothesis‐driven” analyses. “Tier 1” applications focus on “exposomic” pattern recognition for extracting information from multidimensional data sets, whereas second and higher tier applications utilize mechanistic models to develop risk‐relevant exposure metrics for populations and individuals. In this article, “tier 1” applications of TiER explore identification of potentially causative associations among risk factors, for prioritizing further studies, by considering publicly available demographic/socioeconomic, behavioral, and environmental data in relation to two health endpoints (preterm birth and low birth weight). A “tier 2” application develops estimates of pollutant mixture inhalation exposure indices for NCS counties, formulated to support risk characterization for these endpoints. Applications of TiER demonstrate the feasibility of developing risk‐relevant exposure characterizations for pollutants using extant environmental and demographic/socioeconomic data.