Quality self-control and co-supervision mechanism of construction agent in public investment project in China

Public investment project (PIP) plays an important role in the China economy. In order to improve the project management performance of public projects, the government is searching for a scientific system to build a construction management supervision mode. This paper introduces the policy background and connotation of Agent Construction System (ACS). As a public investment construction management model, ACS, is gradually being incorporated into the legal framework, it is necessary to improve the construction agent supervision mechanism. This article analyzes the supervision mechanism of construction agent quality management under the principle of two-stage agent mode and establishes an agent quality self-control system and a government co-supervision system. These systems take the contract management as the core and the project quality objective as the guidance. These systems also consist of a two-dimensional framework of vertical self-control and horizontal supervision, which form a quality supervision mechanism. Based on Rough Set theory, the article proposes the idea of building an agent quality self-control and government co-supervision model, and illustrates it with a flow chart for building the model, which paves the way of quantitative research for the future.     

Backward capacity-filtering for electronics Fabs

In electronics Fabs such as semiconductor Fabs and liquid crystal display (LCD) Fabs, which are capital-intensive, finite-capacity planning is critical to achieving full-capacity production and on-time production. However, existing finite-capacity planning methods do not adequately reflect the actual capacity profiles of an electronics Fab. In this paper, we propose a new Fab-level capacity-filtering procedure to generate finite-capacity plan: a backward capacity-filtering procedure for generating finite-capacity release plan. When developing the Fab-level filtering procedures, we use stage-level capacity-filtering algorithms as a key building block. In this study, we enhance the previous capacity-filtering algorithms proposed by one of the authors in order to facilitate the practical requirements of electronics Fabs. We apply the proposed capacity-filtering method to a modern LCD–TFT Fab in Korea. Performance analyses demonstrate that the proposed method is superior to existing methods.     

后现代小说《白雪公主》的互文性分析--以童话隐喻为例

美国后现代小说《白雪公主》主要嫁接于经典格林童话《白雪公主与七个小矮人》,其中也穿插了其他经典童话故事的情节。唐纳德·巴塞尔姆运用互文性将文本历史与社会现实相融合所进行的诗学构建,是对文本历史的承续与反叛,体现了后现代主义创作的锐意创新。在互文性的框架下解析《白雪公主》的童话隐喻,旨在阐述文本表面散漫的叙事风格背后隐藏的对社会现实的深切关注。     

基于改进模糊聚类算法的灰色预测模型

目前研究的模糊C均值聚类算法(FCM)面临的最重要问题是初始值随机选取,导致其容易陷入局部最优,同时影响运算速度.而灰色预测GM(1,1)模型在形成预测公式时对初始值的选取也没有合理有效的方案.针对以上问题,文章提出坐标密度法,确定初始聚类中心,对FCM算法进行改进;接着提出运用改进的FCM求取GM(1,1)中数据的聚类中心,并把聚类中心作为初始值的方法;通过与已知算法进行比较验证了其可行性和有效性.     

首都第二机场建设与航空人才需求调研

首都第二机场的建设已成定局,由此而引起的大量人才需求是各层次学校所关注的焦点。北京经济管理职业学院是否能抓住这一得天独厚的机遇,将是未来几年对北京经济管理职业学院的考验,因此根据近几年来对首都二机场建设的资料的收集和调研,了解了机场建设对航空人才的需求,为学院的发展提供了建设性的参考性意见。     

Affiliation networks with an increasing degree sequence

Affiliation network is one kind of two-mode social network with two different sets of nodes (namely, a set of actors and a set of social events) and edges representing the affiliation of the actors with the social events. Although a number of statistical models are proposed to analyze affiliation networks, the asymptotic behaviors of the estimator are still unknown or have not been properly explored. In this article, we study an affiliation model with the degree sequence as the exclusively natural sufficient statistic in the exponential family distributions. We establish the uniform consistency and asymptotic normality of the maximum likelihood estimator when the numbers of actors and events both go to infinity. Simulation studies and a real data example demonstrate our theoretical results.     

偏斜参数对GARCH族模型估计与预测绩效的影响

本文先运用蒙特卡洛模拟考察了偏斜参数对GARCH族模型估计结果的影响并发现,若标准化扰动项偏斜且厚尾,基于对称厚尾分布的极大似然估计量渐近有偏.以上证指数收益为样本,利用SPA检验,实证考察了10种常见的GARCH族结构分别在正态分布、Student-t、GED以及Skew-t分布假设下的波动率预测绩效.结果发现:①Skew-t分布假设下的GARCH族结构能够获得优越的预测绩效;②10种GARCH族结构中,有8种模型在Student-t分布假设下的预测绩效不及正态分布,而GED分布假设下也有4种模型不及正态分布;③样本外观测值的多少以及GARCH-m结构的有无不改变主要结论.     

初中起点幼师大学生历史课过度教学现象探析

一般而言，历史课及其任课教师是比较受初中起点幼师大学生欢迎的。与此同时，历史课教学中也时常不经意间在教学内容安排、教学方法运用和教学观点表达等方面出现过度教学现象。学生主体地位的异化，教学过程把控失当和教学反思的缺位，是造成过度教学的主要原因。消除过度教学现象的对策主要是坚持教学过程中学生的主体地位，掌握教学有度的艺术和重视教学反思。