社会性别视域下高校美女文化现象解析

高校美女文化面临着泛化的倾向。造成这种现象的深层次原因与市场经济中女性地位的衰落直接相关。而高校社会性别教育的缺失削弱了女性的独立意识,大众文化的勃兴则强化着社会性别的刻板印象。高校美女文化的泛滥弱化了女大学生独立意识的形成,造成社会资源的浪费．也加剧了社会文化中男女不平等的局面,促使女性向传统价值观回归。为了重塑高校社会性别平等文化,应该使社会性别意识纳入政府决策主流,推动社会性别平等教育进入高等教学体系并实现学科建设主流化,培养大众传媒的社会性别意识。     

李安宅未刊手稿《十年来美国的人类学》及其解读

李安宅撰写的《十年来美国的人类学》是其在美讲学期间应国内人类学家卫惠林、何联奎所约而作,论述了1938-1947年美国人类学的理论进展及其学科特性,梳理了美国人类学界相关人物的动态和主要的书刊。这一观察海外人类学进展的重要文献,具有重要的学术史料价值。文章首次披露李安宅手稿全文,并对其写作背景及该文所透露的有关问题略作讨论。     

凉山彝族的家支与德古的结构与功能

本文利用民族学者的凉山彝族社会历史调查报告,从家支组织形态与功能、家支权力结构与德古、社会变迁中的家支与德古三个方面论述彝族家支(血亲社会组织)与德古(权力人物)的结构与功能.笔者认为凉山彝族家支与德古的传统性和现代性并非此消彼长的两个对立物,它们之间的关系是复杂而多面的,传统性不仅具有顽固性,而且会吸收现代性的某些成分从而获得新的生命,家支与德古具有适应社会变迁的能力.传统与现代结合为一种协调的模式,构成了彝族在当代社会的特定民俗.这就是现在凉山彝族农村的地方政治.在当代社会,德古继续扮演什么角色要看他们接受新知识、新的价值观念以及理性权威程度而定.民众在家支上的同质性极高,所以他们不缺乏家支从属感与认同观念,缺乏的是对现代文化的了解,对现代社会的认知,对身处经济极不发达社会的处理方式.     

Operational Risk in Financial Services: A Review and New Research Opportunities

We present a framework to describe and analyze operational risk in financial services from an operations management perspective, focusing in particular on process design, process management, and human behavior aspects. The financial services industry differs from other service industries in ways that affect the nature of the operational risks it is subject to. In recent decades, many books and papers have focused on operational risk in financial services; however, this literature has focused mainly on the conceptual and statistical aspects of operational risk management and not on its operational aspects. Operational risk in financial services has not received much attention from the operations management community. The framework presented here is based on the premise that operational risk in financial services can reap significant benefits from research done in the theory and practice of operations management in manufacturing industries as well as in other services industries. The objective of this study is to propose particular challenges and questions raised in the practice of operational risk management that may stimulate future research in this particular area of operations management.     

Online MapReduce scheduling problem of minimizing the makespan

MapReduce system is a popular big data processing framework, and the performance of it is closely related to the efficiency of the centralized scheduler. In practice, the centralized scheduler often has little information in advance, which means each job may be known only after being released. In this paper, hence, we consider the online MapReduce scheduling problem of minimizing the makespan, where jobs are released over time. Both preemptive and non-preemptive version of the problem are considered. In addition, we assume that reduce tasks cannot be parallelized because they are often complex and hard to be decomposed. For the non-preemptive version, we prove the lower bound is \(\frac{m+m(\Psi (m)-\Psi (k))}{k+m(\Psi (m)-\Psi (k))}\), higher than the basic online machine scheduling problem, where k is the root of the equation \(k=\big \lfloor {\frac{m-k}{1+\Psi (m)-\Psi (k)}+1 }\big \rfloor \) and m is the quantity of machines. Then we devise an \((2-\frac{1}{m})\)-competitive online algorithm called MF-LPT (Map First-Longest Processing Time) based on the LPT. For the preemptive version, we present a 1-competitive algorithm for two machines.     

An adaptive-to-model test for partially parametric single-index models

Residual marked empirical process-based tests are commonly used in regression models. However, they suffer from data sparseness in high-dimensional space when there are many covariates. This paper has three purposes. First, we suggest a partial dimension reduction adaptive-to-model testing procedure that can be omnibus against general global alternative models although it fully use the dimension reduction structure under the null hypothesis. This feature is because that the procedure can automatically adapt to the null and alternative models, and thus greatly overcomes the dimensionality problem. Second, to achieve the above goal, we propose a ridge-type eigenvalue ratio estimate to automatically determine the number of linear combinations of the covariates under the null and alternative hypotheses. Third, a Monte-Carlo approximation to the sampling null distribution is suggested. Unlike existing bootstrap approximation methods, this gives an approximation as close to the sampling null distribution as possible by fully utilising the dimension reduction model structure under the null model. Simulation studies and real data analysis are then conducted to illustrate the performance of the new test and compare it with existing tests.     

与能源消耗等指标发生偏离的GDP是否可信

本文选取了1995-2014年全国30个省市数据,综合使用了向量自回归模型、参数面板模型、非参数面板模型和面板门限模型对GDP增速与电力消费增速、第二产业增速、第三产业增速、财政收入增速、货物流转增速、能源消费增速和固定资产投资增速等物理性指标间的关系进行了建模.实证研究发现,GDP增速、电力消费增速、第三产业增速、能源消费增速之间存在作用机制,但是这种影响模式并非一成不变,在不同时间段内,其模式发生改变,同时,这一影响模式也随着人均GDP的变化而发生阶段性改变.在经济新常态下,不能因为经济转型中的GDP数据与物理指数之间发生偏离,而简单否定GDP的准确性.     

静态金融可计算一般均衡扩展模型构建及货币政策模拟

文章将要素价格完全内生化,并通过引入“货币乘数”和“消费价格指数”,构建了扩展的静态金融可计算一般均衡模型,模拟了货币发行规模变化和存款准备金水平的改变对我国宏观经济、各产业部门和价格水平的影响.结论表明:从货币角度看,价格水平变化并不单一地依赖于货币总量的改变,准备金对货币市场调控效果远强于货币发行,而无论何种宽松的货币政策,央行释放的货币与银行信贷资金增加余额不成比例,银行惜贷现象仍较为严重;从产业角度看,增加货币供给会提高劳动要素报酬而降低资本要素支付,无论采取宽松或是紧缩的货币政策,农业相较于其他产业,对货币的弹性较大.     

概率论中随机变量函数若干问题探讨

文章给出了连续型随机变量差以及积的分布密度公式.针对两个独立同服从标准正态分布的随机变量详细推导了其积的分布密度公式和特征函数,并给出了涉及标准正态分布随机变量乘积函数分布的几个结论.     

企业内部控制有效性影响因素的实证

作为公司治理的核心,董事会负责公司的重大决策和对管理层的监督,对公司内部控制的设计与实施效果有着重要影响.文章以2012-2014年国内A股上市公司为研究样本,实证检验了董事会治理特征对公司内部控制有效性的影响.检验结果表明,上市公司董事会的规模与会议次数与内部控制有效性无关;独立董事比例、审计委员会的设立、董事持股比例与内部控制有效性正相关;董事长与CEO二职合一与内部控制有效性负相关.