探讨人防工程结构自防水质量

本文分析了影响人防工程结构自防水质量的因素,探讨了提高结构自防水质量的控制措施。根据自己亲自参与人防工程设计、质监及施工的实践,谈谈提高人防工程结构自防水中应注重的几个问题。     

浅析含沙量的测量

随着对基础理论的深入研究,各种新型测沙仪器不断产生。多年来科技人员一直在积极探求含沙量的现代测量方法,现浅析含沙量的测量。     

常见的混凝土防渗漏问题及措施分析

工程质量的优劣与千家万户的安乐生活息息相关,如何防治建筑工程的渗漏作为一件大事抓紧抓好,显得十分重要和迫切。本篇文章就是分析混凝土的渗漏问题,分析渗漏问题产生的部分原因和防治方法。     

房地产企业员工素质再造的实践启示

本文以中小型房地产企业为例,通过分析实施员工素质再造的实践成果,进而明确开展员工能力素质建设的关键问题。全文主要从员工工作理念、工作实效和工作信心三方面,提出了实施素质再造应着眼于企业中长期目标、着手于收益关联机制、着力于核心员工培养的工作方法,最终达到提高团队整体素质,推动企业实现可持续发展的远期目标。     

AN AXIOMATIZATION OF QUANTILES ON THE DOMAIN OF DISTRIBUTION FUNCTIONS

In an environment in which the primitive is the space of distribution functions, we characterize the quantile functions by the axioms ordinal covariance, monotonicity with respect to first-order stochastic dominance, and upper semicontinuity. We show how to characterize the VaR in a similar manner.     

降低国家助学贷款违约率的措施研究

国家助学贷款作为高等教育个人融资的一种手段,由于兼具政治、道德、经济属性及功能,融政策、福利、教育、金融为一体,所以无论是在发达国家,还是发展中国家都被广泛推行。然而,随着我国助学贷款进入还贷期,大学生的贷款信用问题很快凸现出来,部分大学生信用意识淡薄,拖欠贷款问题突出,信用问题已成为制约国家助学贷款工作顺利开展的瓶颈。那么,如何降低和防范助学贷款的违约率?以吉林大学在校申请或已经享受了国家助学贷款的学生为调查研究对象,在分析问题原因的基础上提出相应措施和对策,以促进国家助学贷款的良性循环。     

Minimal Entropy Martingale Measures of Jump Type Price Processes in Incomplete Assets Markets

We consider the incomplete assets market and assume that the market has no-arbitrage. Then there are many equivalent martingale measures associated with the market. Among them, a probability measure which minimizes the relative entropy with respect to the original probability measure P, has a special importance. Such a measure is called the minimal entropy martingale measure (MEMM). In a previous paper, we have proved the existence theorem of the MEMM for the price processes given in the form of the diffusion type stochastic differential equation. In this article we discuss the MEMM of the jump type price processes, or especially of the log Lévy processes, and we give the explicit form of MEMM.     

基于特征融合与规则推理的目标识别

为了在干扰电磁环境下提高辐射源和平台目标识别的可靠性,建立了特征级和决策级 的分级融合识别框架,通过特征相关和匹配置信度融合进行辐射源识别,提出了基于粗糙集 规则推理目标识别决策方法。仿真结果表明该方法能增强目标识别的容错性。     

Carbon efficiency of US colleges and universities: a nonparametric assessment

Under the American College and University Presidents’ Climate Commitment (ACUPCC), institutes of higher education have pledged to pursue a goal of carbon neutrality. We utilize emissions reported under the ACUPCC agreement and a nonparametric data envelopment analysis approach in order to evaluate the relative performance of signatories to the agreement in terms of producing teaching and research with the least greenhouse gas emissions. We find that while many signatory institutions are now producing their desirable outputs relatively efficiently in terms of carbon emissions, there still exists considerable variation in efficiency and potential for improvement. Results of a second stage efficiency change analysis shows evidence of both movement towards the efficiency frontier since signing, and some movement of the frontier itself, though this evidence comes primarily from teaching-focused institutions.     

The role of uncertainty in the euro crisis – an application of liquidity preference theory

The world financial crisis triggered a rediscovery of the active role fiscal policy can play as a remedy in such situations. During the euro crisis, escalating funding costs in a number of southern eurozone member states and Ireland have called this strategy into question. One interpretation of the euro crisis concentrated on the public debt trends in those countries. Opposing this view, the main point of this contribution is to elaborate the link between rising interest rates on sovereign bonds in the euro crisis and a major feature of the financial crisis – a subdued degree of investor confidence after the Lehman collapse. Theoretically, this link is developed with reference to Keynes’ liquidity preference theory. The high explanatory power of measures for the degree of confidence in financial markets as well as detrimental effects of fiscal austerity on the evolution of sovereign yield spreads are demonstrated empirically by means of panel regressions and supplementary correlation analyses.