基于Proteus的仿真技术应用实例

仿真技术的广泛应用推动了各行各业的快速发展,对电子产品设计带来变革.应用Proteus仿真技术成功地开发了以单片机为控制核心的净水机系列控制器,仿真技术使电子产品开发省时、省力、省钱、高效、高质.     

A Versatile One-Dimensional Distribution Plot: The BLiP Plot

A versatile graphical tool, the BLiP plot, was developed for displaying one-dimensional data. The basic building blocks are boxes, lines, and points. Like many standard one-dimensional distribution plots, the BLiP plot is capable of displaying individual data values in points or lines and grouped information in lines or boxes. In addition, the BLiP plot includes many new features such as variable-width plots and several choices of point patterns. The main advantage of the BLiP plot is that it provides users with basic graphical elements in a friendly and flexible environment so that users can, according to their needs, construct anything from a simple, standard plot to a complex, customized plot to best present their data.     

美国与湄公河开发计划探研

作为二战后在中南半岛最具影响力的大国,美国是湄公河开发计划的主要倡导者之一。随着中南半岛政治和安全形势的变化,美国在湄公河开发计划中的角色也发生着演变,但其背后的外交逻辑是一致的,即通过区域合作促进该地区的经济发展和政治稳定,将该地区纳入美国主导的国际政治经济体系,并遏制其认为的"潜在威胁"力量,以呼应美国的全球战略。     

环境管制对自主创新影响的实证研究——基于负二项分布模型

本文运用2001-2010年中国省际面板数据,在过度分散检验基础上,采用更适合专利产出的固定效应负二项分布模型,实证检验了环境管制对中国自主创新的影响。研究发现:环境管制与自主创新之间呈现出类似环境库兹涅茨曲线的"U"型关系,环境管制对自主创新作用过程中存在经济发展水平的门槛,在中国现有经济总量较低时,环境管制并没有发挥出对自主创新应具有的促进作用,环境波特假设得不到支持。从分地区来看,环境管制对东部和西部地区自主创新具有显著的负效应,但对中部地区的影响不显著,而且环境管制对自主创新的弹性东部要高于西部。这些结果表明:中国经济发展与环境保护还未达到"波特假设"的双赢局面,制定与经济增长相匹配的最优规制水平,实行差异化的环境管制政策,有效整合研发资金、研发人员以及政府科技投入是提升中国自主创新能力的重要途径。     

京津冀区域大气污染联防联控问题研究

近年来,酸雨、雾霾、光化学烟雾等区域性复合型大气污染现象频发,给人们的生活和健康带来了极大的危害。环境问题已成为制约京津冀区域经济社会可持续发展的重要瓶颈,解决区域发展与大气环境恶化之间的矛盾势在必行。因此,面对京津冀区域复合型大气污染问题,应立足于京津冀区域整体发展的视角,从建立合理的区域主体机构、信息共享和监测机制、科技平台、"五个统一"工作机制、保障机制等方面建立京津冀区域大气污染区域联防联控机制。     

山区初中物理实验教学现状及对策和思考──世行贷款抚州师专物理实验改革课题调研报告

本文在深入调研基础上，着力分析山区初中物理实验教学现状，提出了相应的对策与思考，并引发出师专物理实验改革方向的探索。     

元曲公案戏中的清官与阴阳文化

用我国传统文化中的阴阳理论分析元杂剧公案戏,将压迫者一方视为阳,被压迫一方视为阴,随着双方力量对比的变化,阳可压制阴,阴也可压制阳。清官则高居阴阳之上,调整阴阳运动,维护阴阳平衡,从而达到稳定社会秩序的目的。     

对党建工作的几点认识

本文分析了新形势下党的发展和建设中存在的问题,对党的十六大通过的新党章中的一些问题进行探讨.如关于把"三个代表"写进新党章的认识,关于"两个先锋队"提法的认识,关于吸收新的社会阶层先进分子入党问题,关于非公有制企业的党建问题等.并结合党史进行了比较,联系实际情况谈了作者对此的认识.在新的历史条件下,党只有保持与时俱进的状态,才能带领全民族在新时代中开拓进取,不断前进.     

The accessibility of contraceptives and service quality in drug stores in Shanghai

This news brief reports findings from a 1996 survey of contraceptive accessibility and service quality in Shanghai, China. Surveys were administered among 100 attendants from 58 drug stores in 5 districts and counties in Shanghai. Drug stores are a primary source of supply of contraception. Findings indicate that 80% of respondents in Nanshi, 85% in Putuo, 45% in Baoshan, 80% in Qingpu, and 70% in Fengxian were satisfied with drug stores as a source of supply of contraception. The mean score on knowledge of contraception among attendants was 68.4; the range was 85.5-27.6. The mean score of ever trained attendants was higher (72.4), compared to 65.8 among untrained attendants. 80% of attendants served customers with consideration and answered questions willingly. Attendants were not able to provide adequate answers to some questions about contraceptives due to deficits in their own knowledge relative to contraception.     

Modeling longitudinal binomial responses: implications from two dueling paradigms

The generalized estimating equations (GEEs) and generalized linear mixed-effects model (GLMM) are the two most popular paradigms to extend models for cross-sectional data to a longitudinal setting. Although the two approaches yield well-interpreted models for continuous outcomes, it is quite a different story when applied to binomial responses. We discuss major modeling differences between the GEE- and GLMM-derived models by presenting new results regarding the model-driven differences. Our results show that GLMM induces some artifacts in the marginal models at assessment times, making it inappropriate when applied to such responses from real study data. The different interpretations of parameters resulting from the conceptual difference between the two modeling approaches also carry quite significant implications and ramifications with respect to data and power analyses. Although a special case involving a scale difference in parameters between GEE and GLMM has been noted in the literature, its implications in real data analysis has not been thoroughly addressed. Further, this special case has a very limited covariate structure and does not apply to most real studies, especially multi-center clinical trials. The new results presented fill a substantial gap in the literature regarding the model-driven differences between the two dueling paradigms.