油漆稀料燃烧残留物的薄层色谱分析

采用薄层色谱扫描分析技术对醇酸、硝基油漆稀料在不同载体下的燃烧残留物进行了研究。制备了不同载体上的油漆稀料燃烧残留物,并以三氯甲烷为萃取剂对残留物进行提取,得到分析样品;结果显示,不同成分的油漆稀料特征组分不同,而不同载体对特征组分Rf值影响不同;通过对油漆稀料燃烧残留物的薄层色谱扫描分析,可以帮助火灾调查人员准确、快速的判断火场中油漆稀料的存在,为鉴定油漆稀料放火火灾提供借鉴。     

挣值管理在装备寿命周期费用控制中的应用

在阐述挣值法的概念以及评价指标体系的基础上,建立了挣值管理在装备寿命周期费用控制中的三维模型,并将进度维中的各个里程碑与寿命周期过程结合起来,应用作业成本法对各个里程碑计划价值进行求解,最后举例说明,挣值法能够对装备寿命周期费用进行有效的预测和控制。     

Game theoretic analysis of maximum cooperative purchasing situations

This article introduces maximum cooperative purchasing (MCP)‐situations, a new class of cooperative purchasing situations. Next, an explicit alternative mathematical characterization of the nucleolus of cooperative games is provided. The allocation of possible cost savings in MCP‐situations, in which the unit price depends on the largest order quantity within a group of players, is analyzed by defining corresponding cooperative MCP‐games. We show that a decreasing unit price is a sufficient condition for a nonempty core: there is a set of marginal vectors that belong to the core. The nucleolus of an MCP‐game can be derived in polynomial time from one of these marginal vectors. To show this result, we use the new mathematical characterization for the nucleolus for cooperative games. Using the decomposition of an MCP‐game into unanimity games, we find an explicit expression for the Shapley value. Finally, the behavior of the solution concepts is compared numerically. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 60: 607–624, 2013     

面向架次率的机场资源配置优化模型

架次出动率是评价军用飞机作战能力的一项重要指标.面向架次率这一重要指标,基于排队理论和边际分析法建立了机场资源配置优化模型.首先建立架次生成过程的闭排队网络模型,使用平均值分析方法获得给定资源配置下,任意架飞机参与飞行时的架次出动率;然后结合平均值分析算法和边际分析方法,综合考虑资源的价值和对架次率的影响,建立面向架次率的资源配置优化模型.此模型可为机场资源配置提供决策方案,并通过一个实例介绍了本模型的应用.     

论生态价值视域下的思想政治教育

人与自然的关系在社会发展到今天,越来越得到人们的重视。以往的思想政治教育,人们总是把它的价值局限在政治价值、经济价值和文化价值上。高校的道德教育也是主要围绕如何处理人与人、集体和社会的关系等,而相对忽略了如何处理人与自然,包括人与其他生命体的关系的教育内容。正确认识人与自然的关系,对保护自然环境承担起责任,是当代大学生必须拥有的素质。     

加强社会主义核心价值体系建设的理性思考

社会主义核心价值体系是兴国之魂,是社会主义先进文化的精髓,决定着中国特色社会主义发展方向。建设社会主义核心价值体系,必须以马克思主义为指导思想,确立中国特色社会主义共同理想,在实践中坚持价值体系的辩证性,从而巩固全党全国各族人民团结奋斗的思想道德基础。     

基于灰色模糊综合评价的网络作战能力评估

根据网络作战力量的组成和作战技术特点,深入分析影响网络作战能力的主要因素,科学构建网络作战能力评估指标体系,采用AHP/熵值法确定指标权重,运用灰色模糊综合评判法,构建实用管用的网络作战能力评估模型,有效解决网络作战力量的作战能力评估动态性、模糊性问题。     

Country survey XVI the defence sector in the economy of a declining superpower: Soviet Union and Russia, 1965-2001

The Soviet Union was able to develop a large military-industrial complex and become the world's second superpower despite deficiencies in its centrally planned economy because defence was given high priority status and special planning, rationing and administrative mechanisms were used to attain national security objectives. However, in the period 1976-85 the effectiveness of priority protection diminished and defence institutions experienced more of the problems typical of the shortage economic system. The heavy defence burden also created growing difficulties for the civilian economy. The attempts by the Gorbachev government to reform the defence sector and improve defence-economic relationships during perestroika (1985-91) uniformly failed. For most of the transition period, the Russian military-industrial complex has been adversely affected by its low priority status, cuts in defence spending, instability of the hybrid politico-economic system, and negative growth of the economy. The armed forces and defence industry have been reduced in size and their outputs of military services and equipment have fallen to low levels. Nevertheless, the Russian armed forces still have over one million troops, significant stocks of sophisticated conventional weapons, and a large nuclear arsenal. The government of President Putin has raised the priority of the defence sector, increased real defence spending, and adopted ambitious plans to revive Russian military power. It is likely, though, that tight resource constraints will hamper efforts to reform the armed forces and to upgrade weapons. By 2010 Russia will be an important, but not dominant, military power in Eurasia.     

Research communication security in the 90s: A view from the UK

This paper develops a methodology for measuring the capital value of military assets in monetary terms. We distinguish between two military capital measures. One measure, called the value of military capital (services) summarizes the value of military defense assets during a particular year. A comparison of the capital‐services value of U.S. and Soviet tactical combat aircraft is provided for the period 1970–1984.

One feature of the capital‐services measure that makes it particularly interesting is that its size can be compared with such military expenditures as operating and support. While these latter expenditures reflect the readiness of a defense establishment, the relevant capital‐services measure reflects force structure and modernization.

A second measure, called the value of military capital (wealth), summarizes the military benefits obtained from defense assets over the remainder of their service lives. This measure depreciates the capital as it ages, and is useful for comparing military wealth with other types of wealth in the economy. We provide this measure for the U.S. military capital stock for 1925–1984.     

A non‐linear defence‐growth nexus? evidence from the US economy

The defense‐growth nexus is investigated empirically using time series data for the US and allowing the effect of defense spending on growth to be non‐linear. Using recently developed econometric methods involving threshold regressions, evidence of a level‐dependent effect of military expenditure on GDP growth is found: the positive externality effect of defense spending prevails for relatively lower levels of defense spending (with respect to the history of defense spending in the US) and reverts its influence for higher levels.