社会资本对维系西部受援高校发展的策略空间探析

“对口支援”西部高校工作开展以来，西部高校在支援高校的大力支持和援助下，学科建设、师资培养和管理水平均取得了显著的进步。这归因于支援高校为西部高校构建了广阔的社会网络，获得了所需的社会资本，得到了所需的学术资源。本文力求不仅要重视“对口支援”西部高校的直接社会援助，而且要高度重视“对口支援”西部高校所建立的社会网络和所获得社会资本。在“对口支援“西部高校政策框架下，充分发挥社会资本对西部高校发展的增值效应，进一步提升维系西部高校发展的策略空间。     

军队装备资金管理系统的设计与实现

从技术角度详细介绍了军队装备资金管理系统的设计思想和实现方法,该系统采用军队装备财务规则规范,选用军方选型数据库系统ＯＲＡＣＬＥ工具编程．     

试论应收账款的管理

本文首先阐述了应收账款过大是阻碍新时期企业发展的一大弊端,其次,从应收账款的事前控制入手,多方面提出了解决这些问题的对策及应用。     

Budget allocation,national security,military intelligence,and human capital: a dynamic model

This study develops a dynamic model that integrates military intelligence into the defense capability of the country and the optimal allocation of its government budget. We assert that the effectiveness of the country’s military intelligence is contingent on the quality of its human capital, which, in turn, implies a long-term positive relationship between the government’s various civilian expenditures and its capacity to achieve a cost-effective intelligence and, hence, military capability. This relationship is developed within a multiple-period arms race model between two rivals. Using this model and stylized data for the Israeli–Syrian arms race, we show that an appropriate budget shift from defense to civilian expenditures during the initial periods of the planning horizon will gradually (over a decade, say) increase the quality of human capital in the country and, thus, the effectiveness of its intelligence, which, in turn, will increase the country’s future security and welfare.     

家庭文化资本对学生学业成绩的影响及对策研究——基于石河子市某初中的调研

家庭文化资本不但是家庭社会地位的象征,还是影响家中子女学业成就获得的关键因素。为了深入了解家庭文化资本对学生学业成绩的影响状况,本研究选取石河子市某初中学校,按照分层抽样的方法选取229名学生作为被试,采用自编的《家庭文化资本问卷》,探求初中生家庭文化资本与其学业成绩的关系。结果显示,石河子市初中生家庭文化资本对学生学业成绩的有极其显著的正向影响,家庭文化氛围、父母和学生本人对学生将来学历的期望对学生学业成绩有显著的正向影响。     

武警院校“四位一体”心理服务模式探索与实践

武警院校“四位一体”心理服务模式的主要职能任务包括课堂教学、测试咨询、心理训练和部队服务,在制度保障机制、组织保障机制和物质保障机制下有效运行,能够增强院校心理课堂教学的效果,拓宽官兵维护心理健康的渠道,提升部队心理骨干的业务能力。     

基于多栅格的基建营房保障信息耦合研究

合理利用军地资源实施一体化保障是现代战争或非战争军事行动基建营房保障的重要内容，然而，包含大量此类信息的商用网络、行业网络和平时基建营房业务管理网络的信息如何能被有效利用却是一个令人头疼的问题。依托军事信息栅格和地方多个行业信息网络，研究、设计缓冲数据库和数据订制服务软件，安全可靠地将分布在多个信息栅格中的基建营房保障所需信息耦合到军事后勤信息网络中，为快速、科学制定基建营房保障计划和实施战时基建营房一体化保障提供强有力的信息支持。     

Using stochastic programming to solve an outpatient appointment scheduling problem with random service and arrival times

We study a stochastic outpatient appointment scheduling problem (SOASP) in which we need to design a schedule and an adaptive rescheduling (i.e., resequencing or declining) policy for a set of patients. Each patient has a known type and associated probability distributions of random service duration and random arrival time. Finding a provably optimal solution to this problem requires solving a multistage stochastic mixed‐integer program (MSMIP) with a schedule optimization problem solved at each stage, determining the optimal rescheduling policy over the various random service durations and arrival times. In recognition that this MSMIP is intractable, we first consider a two‐stage model (TSM) that relaxes the nonanticipativity constraints of MSMIP and so yields a lower bound. Second, we derive a set of valid inequalities to strengthen and improve the solvability of the TSM formulation. Third, we obtain an upper bound for the MSMIP by solving the TSM under the feasible (and easily implementable) appointment order (AO) policy, which requires that patients are served in the order of their scheduled appointments, independent of their actual arrival times. Fourth, we propose a Monte Carlo approach to evaluate the relative gap between the MSMIP upper and lower bounds. Finally, in a series of numerical experiments, we show that these two bounds are very close in a wide range of SOASP instances, demonstrating the near‐optimality of the AO policy. We also identify parameter settings that result in a large gap in between these two bounds. Accordingly, we propose an alternative policy based on neighbor‐swapping. We demonstrate that this alternative policy leads to a much tighter upper bound and significantly shrinks the gap.     

The inherent propensity toward peace or war embodied in weaponry

Thomas Schelling argues that armed adversaries face an inherent propensity toward peace or war embodied in their weaponry, geography and military organizations. Inherent propensity is the idea that there are characteristics embodied in the weapons that push adversaries toward peace or war, independent of the goals of the decision‐makers, the political disagreement between adversaries, and misperceptions about mutual resolve and hostility. We theoretically illustrate inherent propensity in conventional and nuclear arms settings using Lanchester and Intriligator war models. Our work extends the Intriligator‐Brito model, identifies when the competing Richardson and Intriligator‐Brito views of the relationship between arms races and war are correct, illustrates the stabilizing/destabilizing effects of alliances, and highlights the importance of arms quality control in the US‐USSR relationship.     

Impacts of logistics information on sales: Evidence from Alibaba

Facing fierce competition from rivals, sellers in online marketplaces are eager to improve their sales by delivering items faster and more reliably. Because logistics quality can be known only after a transaction, sellers must identify effective ways to communicate logistics information to consumers. Drawing on the accessibility-diagnosticity framework, we theorize that the sales impacts of logistics information depend on its relative diagnostic value. Using data on 1493 items with 505,785 consumer reviews from an online marketplace, we examine how sales are affected by three information sources for logistics services: online word of mouth (WOM) about logistics, self-reported logistics services, and expected delivery time. We use an instrumental variable method to address the endogeneity issue between sales and WOM. We find that, ceteris paribus, consumers give more weight to WOM about logistics and delivery time when they make purchase decisions but less weight to self-reported logistics service. The effects of logistics information on sales are asymmetric for large and small sellers.