土地利用覆被/变化（LUCC）研究进展

土地利用/覆被变化（LUCC）研究一直是全球变化研究的热点。从LUCC相关概念入手,对LUCC的国内外研究进展进行总结归纳,得到结论：国外LUCC领域的研究启动早、覆盖面广且研究较为深入,中国LUCC研究主要集中在时空变化、驱动机制、生态环境效应及模型模拟研究四个方面,加强区域性研究、提高模型的实用性仍是中国今后LUCC领域研究的重点。     

Improving survey research using diagrams of data structure

Using diagrams of data structure, or conceptual models, is important in businesses. Survey research often has if-then data structure, but discussion of diagramming survey data structure is rare. This study uses the U.S. Fishing, Hunting and Wildlife-Associated Recreation (FHWAR) survey data and a Taiwan survey in the analysis of benefits of using data structure diagrams in survey research. Examples of data structure diagram use show how diagramming can support consistent and logical data collection, as well as improved data storage and analysis. Analysis also shows how storing if-then (conditional) data in entities/tables allows simple and intuitively meaningful unconditional variable names and can facilitate consideration of conditions that should/can affect analysis. A general conclusion is that the time has come for tourism and business survey researchers to benefit from using diagrams of data structure in planning data accumulation and to benefit from using modern systems in data collection, storage and analysis.     

Modeling defaults of companies in multi-stage supply chain networks

The interest in supply chain networks and their analysis as complex systems is rapidly growing. The physical approach to the topic draws on the concept of heterogenous interacting agents. The interaction among agents is considered as a repeated process of orders and production. The dynamics of production in the supply chain network which we observe is nonlinear due to the random failures in processes of orders and production. We introduce an agent-based model of a supply chain network which represents in more detail the real economic environment in which firms operate. We focus on the influence of local processes on the global economic behavior of the system and study how the proposed modifications change the general properties of the model. We observe collective bankruptcies of firms, which lead to self-emerging network structures. Our results give insight into the dynamics of default processes in supply chain networks, which have important implications both for risk managers and policy makers. Based on the simulations we show that agent-based modeling is a powerful tool for optimization of supply chain networks.     

基于ADAMS/View的双横臂独立悬架的运动学仿真分析

采用虚拟样机技术,借助于ADAMS/View软件这个操作平台,针对某轿车的双横臂独立悬架建立了多体动力学模型并对其进行运动学仿真分析,获得了前轮定位参数(前轮外倾角、前轮前束值、主销内倾角及主销后倾角)随车轮上下跳动的变化规律,为汽车悬架系统的优化提供了良好的理论依据。     

面料二次设计方法在礼服中的应用研究

叙述了面料二次设计的概念及其分类,分析了礼服设计中面料二次设计的表现技法,阐述了面料二次设计对礼服设计的影响,为服装设计师提供礼服设计的新思路。     

核电建设项目费用控制影响因素分析——基于ISM-Fuzzy AHP模型

通过识别核电建设项目费用控制的主要影响因素,采用结构解释模型方法分析各因素的相互影响关系,按影响因素的驱动力和依赖性对其进行排序,最终建立相应的解释结构模型,并在此基础上运用Fuzzy-AHP方法对各层影响因素进行判断比较、确定其权重值。结果表明:核电建设项目的决策阶段是费用控制的关键环节;建设目标、建设规模和投资分析水平是最重要的影响因素,在核电建设过程中应对其重点控制。     

论在文科高等数学教学中引入数学建模思想

数学建模是培养和训练学生的理性思维和创新能力的良好方法,也是培养学生数学兴趣的有效途径,更是提升学生综合素质的有效手段。结合多年文科高等数学教学实践,介绍在文科高等数学教学中尝试引入数学建模思想的设想,以提高高等数学课堂教学的质量。     

基于ISM模型的国际航空物流中心发展影响因素分析

国际航空物流中心日益成为区域经济发展、国家对外开放和国际贸易往来的强劲动力和重要功能承载区。对国内外国际航空物流中心发展现状和成功经验进行分析和总结,结合相关文献和专家咨询,对国际航空物流中心发展的影响因素和指标体系进行了归纳,并运用ISM解释结构模型最终得到了这些影响因素指标的层级结构。自下而上分别为深层影响因素层、产业支撑和基础配套体系层、软硬件基础设施层、业务服务层、运营成本控制层和空中通道建设层。下一层级的因素对上一层级的因素有影响和驱动作用。通过因素分析,理清了国际航空物流中心发展的关键因素和因素间的关联关系,为更好推动国际航空物流中心的发展提供理论指导。     

面向O2O的Web服务描述与建模

针对现有服务描述只考虑网上Web服务功能与质量属性,忽视用户网下服务需求的弊端.基于O2O环境中用户对网上服务和网下服务的综合需求,这篇文章对传统的Web服务描述进行了扩展,构建网上网下服务描述模型,设计了网上服务和网下服务的FQoS和QoS指标体系,定义了QoS属性的量化公式,建立了服务资源本体元模型,实现了对服务资源全面整体的描述,解决了网上服务和网下服务功能质量协同的问题.具有较强的理论意义和现实意义.     

The Role of Ownership in Managing Interfirm Opportunism: A Dyadic Study

We extend research on transaction cost theory that shows that vertical integration enables firms to protect their investments in exchange relationships better than market mechanisms. However, extant research finds ownership to exacerbate, rather than limit, exchange partner opportunism. Hence, the purpose of this study is to investigate conditions under which ownership can be effective for constraining an exchange partner's opportunism. Using matched dyadic data for 296 hotel brands, we conduct multi-level hierarchical linear modeling and identify conditions under which common ownership limits hotel opportunism. Findings indicate that ownership can limit hotel opportunism when brand headquarters can easily monitor the hotel's activities.