国立中央大学造园教育的发展及影响

在1951年北京农业大学造园组设立之前,已经有 一些学校进行了长期的课程建设,国立中央大学在农科和工科 中都开设了造园相关课程。通过梳理国立中央大学园艺、森林 和建筑工程科(系)中庭园相关课程的开设情况、设置原因及 授课教师,分析造园相关的科研、实践及其对风景园林学科发 展的影响。研究发现国立中央大学造园相关课程主要由园艺系 发展而来,建筑系可选修,课程均有相应实习,由吴耕民、陆 费执、范赉、李驹、陈植、曾勉、毛宗良、刘敦桢、刘福泰、 章守玉等留学归国的骨干教师开设。师生们不仅将其教学体系 推广至全国,也进行了一些造园实践和研究,为中国风景园林 学科的发展奠定了坚实的基础。     

基于模糊物元的自然灾害应急物流线路优选模型研究

突发性自然灾害中的应急物流线路选择是一个多目标评价问题,因为较强的不确定性和模糊性而较难准确实现。构建了突发性自然灾害中应急物流线路选择评价的指标体系,并主要基于模糊物元分析方法,提出了一种应急物流线路优选的模糊物元模型,为线路优选决策提供定量依据,并给出了计算实例,以验证该模型的有效性和可行性。     

组建型职教集团财务管理研究

文章分析了职教集团组建过程中财务管理工作面临的主要问题,研究了职教集团组建前财务管理工作的内容,并对新组建的职业教育集团如何进行政务管理提出几点建议。     

也谈S_n与A_n的群图——质疑《群图的基本理论及置换群图的构造》中某些结论

详细研究了Sn与An的群图,修正了《群图的基本理论及置换群图的构造》一文中某些错误的结论,并用计算机作出了S4与A4的部分群图。     

基于多目标加权灰靶决策模型的军队第三方物流供应商选择研究

针对军队第三方物流供应商选择问题,结合军事物流特点,建立了第三方物流供应商评价指标体系,详细阐述了运用多目标加权灰靶决策模型选择第三方物流供应商的步骤,并进行了实例分析。     

基于自组织数据挖掘的电子商务客户流失预测模型

为解决电子商务客户流失预测中的高维、非线性问题,本文将自组织数据挖掘理论(SODM)引入客户流失预测,提出一种新颖的基于自组织数据挖掘的电子商务客户流失预测模型。该方法将自组织数据挖掘中的客观系统分析算法(OSA)和改进分组数据处理网络(GMDH)集成起来进行电子商务客户流失预测。首先利用OSA算法选择出重要的电子商务客户流失关键属性,然后将训练样本送入改进GMDH网络进行学习和训练,进而对测试样本客户流失状态进行判别。将该方法应用于某网上商店客户流失预测实证分析,预测结果验证了该方法对包含多种因素影响的电子商务客户流失预测具有优势,基于自组织数据挖掘的电子商务客户流失预测模型具有较强的实用性和可操作性。     

基于价值工程的绿色建筑投资决策研究

绿色建筑是降低我国建筑能耗、促进可持续发展的必要选择。而投资决策方法是否得当直接影响着开发商对绿色建筑的选择与否。文章指出了传统财务分析只考虑直接经济效益而忽略建筑全寿命成本的不合理性,初步建立了基于价值工程的投资决策系统,为企业提供了一套简易可行的绿色建筑投资决策方法。     

我国钢铁集团资金集中管理模式研究

文章通过分析集中管理资金的常用模式、以及选择模式的前提,试图找出与我国钢铁集团战略和特点相符的模式。分析得出相融式资金集中管理模式是提高我国钢铁集团管理资金的能力,提升集团的外部竞争力的有效方式。     

An integrated decision-support approach in prioritizing risks of non-indigenous species in the face of high uncertainty

When evaluating the risks of future invasions, we often have sparse information on the likelihood that a species will arrive, establish and spread in a new environment, and on the potential impacts should this occur. Conventional risk assessment, therefore, is limited in providing guidance in managing the risk of non-indigenous species (NIS). However, risk management decisions must be made facing these uncertainties to avoid high and irreversible impacts.We develop an integrated ecological economic modeling and deliberative multi-criteria evaluation (DMCE) approach to support group decision-making in risk prioritization, using an example of ten NIS that could potentially impact Australian plant industries. This innovative approach seeks to combine the advantages of dynamic modeling with the benefits of DMCE in assessing and communicating uncertainty. The model unveils the complexity of the socio-ecological system of biological invasion, with a scenario analysis designed to interactively communicate scientific uncertainty to decision-makers. The DMCE provides a structured approach to identifying stakeholders' key concerns in addressing economic, social, and environmental dimensions of NIS risk explicitly. Functioning as a platform for risk communication, the DMCE also offers an opportunity for diverse views to enter the decision-making process and for the negotiation of consensus consensuses.     

The value of nonindigenous species risk assessment in international trade

Managing the introduction of nonindigenous species is becoming a major goal of policy-makers at regional, national and international scales. Here we investigate, at the national level, the ideal design and expected net benefits of a risk assessment program for evaluating the desirability of nonindigenous species imports. We show how to enhance the statistical rigor of such a system by correcting a common non-random sampling problem encountered in the data. This correction enables model output to be interpreted in an economically relevant way and facilitates a theoretically rigorous characterization of the balance between trade and nonindigenous species establishment risk. Using reptiles and amphibians imported to the U.S. as a case study, we characterize economic outcomes over a range of cases and demonstrate substantial expected returns to such a screening program, relative to the current effectively open-door policy. Our results are informative for the current debate in the U.S. about whether to require federal agencies to apply risk assessment before allowing a species for import. The framework presented decomposes a complex argument about risk management into component economic and statistical parts, allowing for debate and improved understanding over each element to inform the overall program in a transparent fashion.