罗马帝国时期埃及地方审判管辖浅析

罗马征服给埃及司法工作带来新的变化。罗马统治者根据其统治需要,在古罗马已有法律实践的基础上吸收、借鉴以往埃及法律惯例,造就了罗马埃及独特的司法制度。在不断地交流互鉴过程中,罗马埃及地方的审判管辖逐渐形成四级审级制度,各审级间的审判管辖权限层次分明,并且审判管辖亦形成了新的特征,即罗马埃及地方审级设置过多、军人参与司法事务和总督拥有最高司法权等特点。埃及地方审判管辖的发展无疑体现其渐趋罗马化的特征。     

Writing resistance together

This piece of writing is a joint initiative by the participants in the Gender, Work and Organization writing workshop organized in Helsinki, Finland, in June 2019. This is a particular form of writing differently. We engage in collective writing and embody what it means to write resistance to established academic practices and conventions together. This is a form of emancipatory initiative where we care for each other as writers and as human beings. There are many author voices and we aim to keep the text open and dialogical. As such, this piece of writing is about suppressed thoughts and feelings that our collective picket line allows us to express. In order to maintain the open‐ended nature of the text, and perhaps also to retain some ‘dirtiness’ that is essential to writing, the article has not been language checked throughout by a native speaker of English.     

彝族孝文化文献《赛特阿育》的文本源研究

在贵州彝区的毕摩文献里，有一部反映孝文化的文本《赛特阿育》，与流传于汉区的董永行孝相关文献有密切关系。从情节内容看，《赛特阿育》是对董永行孝相关文本的彝文翻译改写，将其与董永变文、宝卷中的相关文本加以比较研究发现，《天仙配宝卷》应是《赛特阿育》的文本源。     

面向新时代的国民经济核算研究议题及相关问题

本文结合国际国内研究动态分层次归纳、阐释当前国民经济核算的研究议题。具体包括:以国民账户体系2008版(SNA-2008)为起点的前沿研究,SNA中心框架的灵活运用研究,接驳中国国民经济核算体系(CSNA)及其实务的优化和创新研究,国民经济核算数据的综合应用研究。最后针对中国当前国民经济核算研究方法中存在的一些倾向性问题做讨论,比如是否过分关注与GDP的关联, 如何充分发挥卫星账户的作用等。     

Resampling-based stepwise multiple testing procedures with applications to clinical trial data

Endpoints in clinical trials are often highly correlated. However, the commonly used multiple testing procedures in clinical trials either do not take into consideration the correlations among test statistics or can only exploit known correlations. Westfall and Young constructed a resampling-based stepdown method that implicitly utilizes the correlation structure of test statistics in situations with unknown correlations. However, their method requires a “subset pivotality” assumption. Romano and Wolf proposed a more general stepdown method, which does not require such an assumption. There is at present little experience with the application of such methods in analyzing clinical trial data. We advocate the application of resampling-based multiple testing procedures to clinical trials data when appropriate. We have conjectured that the resampling-based stepdown methods can be extended to a stepup procedure under appropriate assumptions and examined the performance of both stepdown and stepup methods under a variety of correlation structures and distribution types. Results from our simulation studies support the use of the resampling-based methods under various scenarios, including binary data and small samples, with strong control of Family wise type I error rate (FWER). Under positive dependence and for binary data even under independence, the resampling-based methods are more powerful than the Holm and Hochberg methods. Last, we illustrate the advantage of the resampling-based stepwise methods with two clinical trial data examples: a cardiovascular outcome trial and an oncology trial.     

Let's Call it Quits: Break‐Even Effects in the Decision to Stop Taking Risks

“Chasing” behavior, whereby individuals, driven by a desire to break even, continue a risky activity (RA) despite incurring large losses, is a commonly observed phenomenon. We examine whether the desire to break even plays a wider role in decisions to stop engaging in financially motivated RA in a naturalistic setting. We test hypotheses, motivated by this research question, using a large data set: 707,152 transactions of 5,379 individual financial market spread traders between September 2004 and April 2013. The results indicate strong effects of changes in wealth around the break‐even point on the decision to cease an RA. An important mediating factor was the individual's historical long‐term performance. Those with a more profitable trading history were less affected by a fall in cash balance below the break‐even point compared to those who had been less profitable. We observe that break‐even points play an important role in the decision of nonpathological risk takers to stop RAs. It is possible, therefore, that these nonpathological cognitive processes, when occurring in extrema, may result in pathological gambling behavior such as “chasing.” Our data set focuses on RAs in financial markets and, consequently, we discuss the implications for institutions and regulators in the effective management of risk taking in markets. We also suggest that there may be a need to consider carefully the nature and role of “break‐even points” associated with a broader range of nonfinancially‐focused risk‐taking activities, such as smoking and substance abuse.     

联盟企业的网络位置差异、行业环境与网络位置跃迁

 网络位置的跃迁能够为联盟内企业带来很多关键性资源和社会效应，联盟内大量企业都试图通过各种途径加速其网络位置的跃迁。已有研究较多从企业自身拥有的网络能力和网络中企业位置嵌入优势探讨网络位置的快速跃迁，忽视网络合作企业位置嵌入的作用，特别是网络位置嵌入存在差异的企业所形成的网络异位置联盟，容易导致资源和信息流动的改变，而对企业网络位置演化产生综合影响。此外，在中国新兴经济情景下，外部环境的变化会影响企业合作意愿以及合作方式的选择，以此动态作用于异位置联盟方式下企业网络位置的演化。        运用资源基础观和信任理论，对比分析同位置联盟和异位置联盟对企业位置跃迁的作用，并检验网络企业嵌入不同行业环境(行业环境动态性和行业环境竞争性)对它们之间关系的权变作用。采用中国信息行业研发合作网络为样本，运用社会网络Ucinet 6.0、Stata 11.0软件和多元回归分析方法进行实证检验。        研究结果表明，与网络同位置联盟相比，异位置联盟更容易促进企业网络位置跃迁；行业环境动态性越强，越会促进网络异位置企业间联盟对企业网络位置跃迁的正向作用；行业环境竞争性对网络异位置联盟与企业网络位置跃迁之间关系没有权变作用。        研究结论进一步明晰了网络异位置联盟对企业网络位置跃迁的作用机理及行业环境对企业网络位置演化作用机制，为企业有效获取和利用网络位置资源提供理论支持。     

双元领导对亲社会性沉默的影响

 亲社会性沉默可能是唯一能产生积极影响的沉默行为，当前对亲社会性沉默的前因研究尚显不足。激烈的竞争环境要求领导者具备双元能力，关于双元领导效应的研究主要集中在创新领域，而领导者结构化了员工的工作环境，将会影响员工的认知和行为，并且沉默行为主要由领导者造成。因此，探讨双元领导对亲社会性沉默的影响具有重要的理论和实践意义。        整合不确定管理理论和权力社会距离理论，以210名企业员工为样本，运用Spss 22和Mplus 7进行层次回归分析和验证性因子分析，探讨权力视角下双元领导对员工亲社会性沉默的影响，检验个人权力感知的中介作用以及中庸思维和权力距离导向的调节作用，揭示双元领导影响员工亲社会性沉默的内在机制。        研究结果表明，①双元领导正向影响员工亲社会性沉默，个人权力感知负向影响员工亲社会性沉默；②个人权力感知在双元领导与亲社会性沉默间起完全中介作用；③中庸思维负向调节双元领导与个人权力感知的关系；④权力距离导向正向调节个人权力感知与亲社会性沉默的关系。        实证检验双元领导对亲社会性沉默的影响，拓展了沉默行为相关研究；选取权力视角的双元领导为切入点，丰富了双元领导影响的研究；探讨亲社会性沉默的中介机制，从权力距离导向视角验证了个人权力感知对沉默行为的影响；通过引入中庸思维和权力距离导向作为调节变量，有效回应了管理学本土化研究倡议。研究结论对组织管理实践具有一定的指导意义。     

Online MapReduce processing on two identical parallel machines

In this work we investigate the online over-list MapReduce processing problem on two identical parallel machines, aiming at minimizing the makespan. Jobs are revealed one by one, and each job consists of one map task and one reduce task. The map task can be arbitrarily split and processed on both machines simultaneously, while the reduce task has to be processed on a single machine and it cannot be started unless the map task has been completed. We first show that the general case of the problem reduces to the classical two machine online scheduling model with an optimal competitive ratio of 3/2. For a special case where the map task is at least as long as the reduce task, we prove that no online algorithm can be less than 4/3-competitive. An optimal Greedy algorithm with a matching competitive ratio is proposed as well.