解放思想 把握机遇 加快推进北部湾经济区开放开发

当前,由于国际国内环境变化,我国经济社会发展面临着新机遇和新挑战。加快北部湾经济区开放开发也同样面临着机遇和挑战,概括起来就是"七有"和处理好"十大关系"。为此,应解放思想,着力创新,重点推进"六大体制"改革,即:推进行政管理体制改革,着力构建科学合理的经济区管理体制;完善现代市场体系建设,着力打造灵活高效的投融资平台;深化国有经济改革,着力培育充满活力的市场微观主体;健全统筹城乡发展的体制机制,着力改变城乡二元经济结构;建立资源节约和环境友好的体制机制,着力建设资源节约型和环境友好型社会;深化涉外经济体制改革,着力拓展开放合作新空间。     

加快广西北部湾经济区循环经济发展的思考

随着全球环境问题日益突出,人类赖以生存的各种资源从稀缺走向枯竭,循环经济理论走向实践,以资源消耗为基础的经济发展方式逐渐让循环经济模式所取代。广西北部湾经济区的崛起必须注重发展循环经济,实现区域的可持续发展。     

科技创新是现代化高校发展的重要标志

近年来,高校作为国家科技创新体系的重要组成部分,大力加强科学研究。北京大学让本科生提前介入科研,培养科研创新能力。高校创办的具有特色的大学科技园、高科技产业群,逐步发展成为普遍趋势,高校已经成为中国基础研究的主力军。高校现有的人才资源有效结合起来,就形成一批充满活力的科技创新集体。     

对中国后现代派小说创作的审视和批判

中国后现代派小说家群落的源起和嬗变是西方后现代派影响的结果,分析其得失上的误区和局限性, 可以得出这样的结论,盲目照搬不行,只有民族的、现代的,才是世界的。     

△-correct decision for location and scale parameters

In selecting t out of k populations, a △-correct decision is said to be made if the smallest location parameter for the selected populations is not more than △ below the largest location parameter for the non-selected populations. (For seal? parameters there is a similar definition in terms of ratio3.) The minimum probability of △-correct decision over the entire parameter pace is shown to be equal to the minimum probability of correct selection over a preference zone determined by △.     

裂缝地层漏失规律研究

本文根据地下裂缝的漏失特性,建立了地下裂缝漏失规律的数学模型,并导出了各种流体在裂缝中的流动挽律。根据流动规律可以定量分析和计算漏速或漏失量与压差、裂缝尺寸、钻井液流变性能等之间的关系,这时优选优配堵漏荆的性能,选择合理的堵漏方法,提高防漏堵漏的成功率具有重要的指导意义。     

中国现代文学史编撰中的一个盲区

女性缺席现象构成了中国现代文学史编撰中的一个盲区,这种缺席呈现为显形缺席与隐形缺席两种形态,其产生具有多方面原因,是应该受到颠覆的文化的不公正。     

开发区的创新驱动发展战略研究——以盐城经济技术开发区为例

实施创新驱动发展战略,对于开发区走出低水平投资驱动的传统增长路径,打造新的竞争优势具有战略意义。制度创新是推进创新驱动发展战略的突破口。为此,采取系列措施创新制度,落实发展战略：完善各类经济成分的组织机构和运行环境,推进各类企业的规范化制度建设,理顺公共资源和生产要素的配置制度,完善保障企业运作和市场公正运行的法制环境,改进开发区管委会的组织体系与工作方式等。     

Child Temperament as a Mediator of Mother-Toddler Problem Solving*

This paper is concerned with the role of child temperament in regulating adult-child cognitive interaction. Two studies were conducted to investigate whether child temperament as rated by the mother at an earlier time relates to maternal guidance and partner involvement on a joint task at a later time. In Study 1, 26 2.5-year-old children and their mothers participated in joint problem solving followed by a child-only posttest involving related tasks. Children rated as having more difficult temperaments received more cognitive assistance and disapproval from their mothers, as well as greater involvement from them in more challenging aspects of the tasks. Temperament was not related to child involvement during the joint task nor to task performance during the interaction or on the posttest. In Study 2, another group of 26 2.5-year-old children and their mothers participated in joint problem solving using different tasks than in Study 1. Results from Study 2 replicate those of Study 1. Also, children rated as having more difficult temperaments performed more poorly on the individual posttest. Results support the suggestion that child temperament may mediate the cognitive opportunities that arise during parent-child collaboration and are discussed in relation to Vygotsky's notion of the zone of proximal development.     

Tree‐Based Logistic Regression Approach for Work Zone Casualty Risk Assessment

This study presents a tree‐based logistic regression approach to assessing work zone casualty risk, which is defined as the probability of a vehicle occupant being killed or injured in a work zone crash. First, a decision tree approach is employed to determine the tree structure and interacting factors. Based on the Michigan M‐94I‐94I‐94BLI‐94BR highway work zone crash data, an optimal tree comprising four leaf nodes is first determined and the interacting factors are found to be airbag, occupant identity (i.e., driver, passenger), and gender. The data are then split into four groups according to the tree structure. Finally, the logistic regression analysis is separately conducted for each group. The results show that the proposed approach outperforms the pure decision tree model because the former has the capability of examining the marginal effects of risk factors. Compared with the pure logistic regression method, the proposed approach avoids the variable interaction effects so that it significantly improves the prediction accuracy.