影响贫困地区体质弱势大学生体育锻炼因素 分析

以湖南永州贫困地区普通高校弱势体质大学生为例,采用文献资料法、问卷调查法,对弱势体质大学生体育锻炼情况调查,结果发现体育锻炼状况不容乐观,针对贫困地区弱势体质学生实际情况,希望给予他们更多的关心和帮助,从而使贫困地区体质弱势大学生身心健康发展。     

古代彝族“诗骨论”——我国少数民族文学理论的一项创举

南北朝时期的彝族学者举奢哲与阿买妮,创建了彝族成体系的古代文艺理论,其中包括“诗骨论”。在后来上千年的时间里,又有多位彝族学者,对“诗骨论”在继承的基础上进一步丰富与完善,使之成为彝族古代文艺理论与美学思想的重要组成部分,也成就了我国古代文艺理论中一个具有少数民族特色的内容。     

Action learning drives the Emerald Academy

This account examines the action learning process adopted by Emerald Group Publishing Ltd., embedded in the organization through the in-company Emerald Academy. In case study format, the paper emphasizes that in order to align learning with organizational objectives joined up thinking and practice is needed beyond the learning and development function, with ownership taken of the process at all levels. To date the Emerald action learning corporate academy process is in its sixth year. It builds upon a tradition of management development through action learning which goes back to the early days of the company. Organizations seeking to develop a similar process would need to consider organizational commitment and readiness.     

论周瑜的谋略和胆识

周瑜的谋略一则表现在离开袁术南下重归孙吴集团;二则表现在帮助孙权稳定江东政权;三则表现在率先提出"南面称孤"的格局江东的政治目标;并在赤壁之战后把这一立政策略发展为得蜀并张,结援马超,出襄阳以图北方实现统一的为政宏纲。周瑜的胆识主要体现在赤壁战争中对争战形式和敌我力量精确的分析和判断。     

日本的集团性社会文化

每一个民族都有自己独特的文化,对于日本来说,集团性是其社会文化的核心。在讲求资历的日本场所型集团社会中,序列意识构成是日本纵向社会的基础。在序列意识的基础上,日本形成了以武士道的"忠义"和儒家思想的"和为贵"为核心,以"忠孝恭顺"为宗旨,成员服从集团,下级服从上级的集团性文化。     

基于共被引网络群体中心度的我国人文社会科学领域知识扩散网络研究

研究我国人文社会科学各学科间知识扩散网络和路径,可以为开展跨学科研究和促进学科之间的交叉融合发展提供参考。采用群体中心度指标,基于文献的引证关系和共被引网络对不同学科的网络位置进行了测度,探析了以共被引网络群体中心度为测量指标的我国人文社会科学领域知识交叉与知识扩散状况。结果表明经济学、政治学、法学等学科作为我国人文社会科学领域的重点研究领域,在整个科学知识网络中扮演着重要的角色,其研究内容本身具有较强的学科交叉性,且对各学科都有较强的辐射作用。此外,马克思主义学科对经济学、心理学对教育学和体育学、哲学对政治学、环境科学对人文地理学等也有较强的知识扩散能力。     

秦岭自然保护区群成本效益研究(Ⅱ)——成本效益预测

本研究在秦岭自然保护区群成本效益计量研究成果的基础上,对成本效益进行进一步分析及预测。运用统计软件SPSS17.0结合十余种拟合曲线,根据秦岭自然保护区群中7个国家级自然保护区的成本效益截面数据,尝试性地进行了综合效益及三大成本之间关系曲线拟合。研究结果表明：根据模型拟合优度R2大小及显著水平Sig.判断,最终得出了成本效益之间的关系式。即三个拟合函数分别是：①综合效益（Qt）与直接保护成本（Xa）的函数曲线方程为：Qt=-68.244＋870.688Xa-2493.849Xa2＋2304.879Xa3;②综合效益（Qt）与间接保护成本（Xb）的函数曲线方程为：Qt=17.844e1.986Xb;③综合效益（Qt）与机会保护成本（Xc）的函数曲线方程为：Qt=-78.157＋104.775Xc-32.953Xc2＋3.296Xc3。本研究结果可以为国家有关部门进行保护区投资做有益的帮助,同时为陕西省自然保护区保护政策的完善做理论支撑。     

On the task assignment with group fairness for spatial crowdsourcing

Task assignment, the core problem of Spatial Crowdsourcing (SC), is often modeled as an optimization problem with multiple constraints, and the quality and efficiency of its solution determines how well the SC system works. Fairness is a critical aspect of task assignment that affects worker participation and satisfaction. Although the existing studies on SC have noticed the fairness problem, they mainly focus on fairness at the individual level rather than at the group level. However, differences among groups in certain attributes (e.g. race, gender, age) can easily lead to discrimination in task assignment, which triggers ethical issues and even deteriorates the quality of the SC system. Therefore, we study the problem of task assignment with group fairness for SC. According to the principle of fair budget allocation, we define a well-designed constraint that can be considered in the task assignment problem of SC systems, resulting in assignment with group fairness. We mainly consider the task assignment problem in a common One-to-One SC system (O2-SC), and our goal is to maximize the quality of the task assignment while satisfying group fairness and other constraints such as budget and spatial constraints. Specifically, we first give the formal definition of task assignment with group fairness constraint for O2-SC. Then, we prove that it is essentially an NP-hard combinatorial optimization problem. Next, we provide a novel fast algorithm with theoretical guarantees to solve it. Finally, we conduct extensive experiments using both synthetic and real datasets. The experimental results show that the proposed constraint can significantly improve the group fairness level of algorithms, even for a completely random algorithm. The results also show that our algorithm can efficiently and effectively complete the task assignment of SC systems while ensuring group fairness.