组合评价模型在河南省主要城市综合经济实力评价中的应用

组合评价模型通过组合多个单一评价模型的评价结果,有效弥补单一方法的不足,提高评价的全面性和科学性.首先利用河南省2010年的相关数据,分别采用综合指数法、加权平均法、主成分分析法和因子分析法,对河南省的18个主要地区的综合经济实力进行了评价和排序;其次,建立基于模糊Borda法的组合评价模型,应用该模型对河南省的18个主要地区的综合经济实力进行了重新评价和排序,得到了更为可行的评价结果.     

基于Vague集距离与灰色关联的区域产业技术供需协同发展评价研究

技术供需有效协同是实现产业中高端发展的重要驱动,本文综合考虑产业技术供需子系统发展水平、供需子系统间耦合作用及协同效应等因素,将Vague集相似性度量与距离协同模型结合,运用灰色关联分析计算技术供需子系统间的灰色关联度,建立了基于Vague集距离与灰色关联的区域高技术产业技术供需复合系统的综合协同发展模型,并利用该模型对2009年至2016年京津冀地区高技术产业技术供需协同水平数据进行了实证分析。实证分析结果表明,京津冀地区技术供需协同发展处于高协同低发展阶段,综合协同发展水平增速缓慢;供需子系统间相互作用关系显著;北京和天津的技术供给发展较快,需求相对不足,而河北需求旺盛,但供给不足。因此,兼顾技术供需高质量发展与区域技术供需协同匹配是创新引领产业发展的有效路径。     

Enhancing Formative Assessment Practice and Encouraging Middle School Mathematics Engagement and Persistence

In the transition to middle school, and during the middle school years, students' motivation for mathematics tends to decline from what it was during elementary school. Formative assessment strategies in mathematics can help support motivation by building confidence for challenging tasks. In this study, the authors developed and piloted a professional development program, Learning to Use Formative Assessment in Mathematics with the Assessment Work Sample Method (AWSM) to build middle school math teachers' understanding of the characteristics of high‐quality formative assessment processes and increases their ability to use them in their classrooms. AWSM proved to be feasible to implement in the middle school setting. It improved teachers' practice of formative assessment, especially in their feedback practices, regardless of their pedagogical content knowledge at entry. Results from focus groups suggested that teachers were better able to implement ungraded practice and student self‐ and peer‐assessment after AWSM, and that students were more willing to engage in complex problem solving.     

Derivative evaluation and computational experience with large bilevel mathematical programs

A bilevel program is a mathematical program involving functions defined implicitly as solutions to another mathematical program. We discuss a method for extracting derivative information on the implicit function, which is especially efficient when the lower-level problem has simple bounds on the variables and/or many inactive constraints. Computational experience on problems with up to 230 variables and 30 constraints is presented.Computational support from Robert Bivins and Myron Stein is gratefully acknowledged. We have also appreciated comments from Jon Bard and an anonymous referee. This work was supported in part by the US Department of Energy through the Los Alamos National Laboratory.     

基于投入产出分析的建筑节能经济-环境影响测算模型的研究和应用

将改进的投入产出局部闭模型和分析方法应用到建筑节能研究领域.结合数量经济方法,建立了建筑节能经济-环境影响测算投入产出模型,应用该模型测算了2002年不同比例的既有建筑实施50%的建筑节能标准后的直接经济影响,然后测算通过各个产业部门之间的相互影响和相互作用后,建筑节能对国民经济其他产业部门的关联影响、对本部门的完全影响和对以GDP衡量的整个国民经济系统的影响.最后测算不同比例的既有建筑实施50%的建筑节能标准后减少的二氧化碳和二氧化硫的排放量.     

运用心理规律增强“概率统计”教学的实效性

学生在学习"概率统计"课时,常常会产生一些困惑,感到难学,尤其是对概念的理解以及知识间的联系、深化更让部分学生感到抽象、甚至模糊不清.教学中科学运用学生心理发展规律,可以及时有效地消除学生学习中的困惑,澄清模糊认识,提高学习效率,增强教学的实效性.     

中国经济增长与环境污染的协整关系研究——基于1991-2007年省际面板数据

利用1991-2007中国29个省市的面板数据,对经济增长与环境污染的长期均衡关系进行了研究,对人均实际GDP及代表环境污染的五类污染物排放指标进行了面板单位根检验和面板协整分析。结果表明,在五类污染物排放指标中,只有工业固体废弃物排放量与人均GDP之间符合EKC特征,工业废水排放量随经济增长而逐渐减少,而工业废气排放量与经济增长不存在协整关系。     

Optimal testing strategies in overlapped design process

Testing is an important activity in product development. Past studies, which are developed to determine the optimal scheduling of tests, often focused on single-stage testing of sequential design process. This paper presents an analytical model for the scheduling of tests in overlapped design process, where a downstream stage starts before the completion of upstream testing. We derive optimal stopping rules for upstream and downstream stages’ testing, together with the optimal time elapsed between beginning the upstream tests and beginning the downstream development. We find that the cost function is first convex then concave increasing with respect to upstream testing duration. A one-dimensional search algorithm is then proposed for finding the unique optimum that minimizes the overall cost. Moreover, the impact of different model parameters, such as the problem-solving capacity and opportunity cost, on the optimal solution is discussed. Finally, we compare the testing strategies in overlapped process with those in sequential process, and get some additional results. The methodology is illustrated with a case study at a handset design company.