基于信息技术的多学科融合研究

首先分析关键信息技术及其对学科交叉融合的影响,然后以中国知网为平台,搜集各关键信息技术的论文发布数量。在数据分析中,先结合关注度和融合度进行了基本的统计分析,再利用相关分析,对基于信息技术的多学科 融合趋势进行探讨。     

Monitoring meaningful rugby ratings

The performance of individual rugby players can be quantified using multivariate analysis and modified control chart methodology. Using factor analysis, multivariate data are reduced to five orthogonal factors (key performance indicators). These factors are reduced to a single measure of performance by modifying control chart ideology. By comparing the observed performances with 'unattainable perfection' rather than the average, a statistic that is suitable for monitoring the performance of individual rugby players with control charts is obtained for use by coaches and selectors.     

我国远程教育研究从推崇、到冷静、再到反思的变化特征——基于文献计量学的远程教育核心论文分析

随着现代信息技术的不断发展与教育理念的不断变革,越来越多的研究者意识到掌握远程教育研究现状与发展趋势有助于进一步推动远程教育的快速发展。但是当前对远程教育研究的分析大多是宏观层次的,未能反映统计时间内发展的细节与变化。基于文献计量学方法对远程教育核心论文进行宏观和微观分析发现:总体上,我国远程教育研究已经进入相对平稳的成熟发展阶段,研究队伍逐渐形成,研究成果受到国家和地方各级政府及高校等的广泛关注。已有远程教育研究对技术、媒体以及资源建设关注较多,但是对师资培训、质量保证的研究还不够;稳定的高产作者群尚未形成;核心著者与自己团队的合作密切,但与其他团队交流较少,合作的深度和广度还有待加强。     

我国数字图书馆研究论文的统计分析

信息技术的飞速发展，推动着图书馆的剧变。数字图书馆作为这剧变的产物，正日益受到图书馆界乃至社会的关注，成为图书馆学理论研究和实践探索的热点和重点。本文通过对1995年以来我国数字图书馆研究论文的来源、年代和空间分布、主题、作者等各方面进行统计分析，探讨近年来我国数字图书馆研究现状和主要发展趋势，以推进我国数字图书馆的可持续发展。     

我国东北地区三所医学高校学报载文和引文的统计分析

本文以我国东北三所医学高校学报为研究对象,对其载文及引文作了统计分析,结合近年来我国科技期刊引文统计的部分成果,在综合评价的基础上,从一个侧面展现我国东北地区医学科学的研究水平及差距。     

毕节试验区扶贫资金投入效果的统计分析

从数据的统计分析发现,毕节试验区建立以来,地区经济、人口、生态等各方面建设都得到了长足的发展。但是,从绝对数来看,试验区与全国、全省平均水平还存在差距;在人口数量控制、人口卫生、降低能耗等方面,还存在一些不足。建议进一步加大对毕节试验区扶贫资金的投入力度;继续改善扶贫资金的投入结构。     

馆际互借与文献传递研究所文献的保证模式

馆际互借与文献传递是图书情报机构面向读者的新型服务方式,是资源共享的一种最有效形式。应利用各种手段,广泛宣传这种服务,让读者了解馆际互借与文献传递服务,以便用最快捷的方式获得所需文献,最大限度地满足读者的需求。     

Manufacturing Squares: An Integrative Statistical Process Control Exercise

In the exercise, students in a junior‐level operations management class are asked to manufacture a simple product. Given product specifications, they must design a production process, create roles and design jobs for each team member, and develop a statistical process control plan that efficiently and effectively controls quality during production. During an in‐class exercise, students test their plan in a pilot study. After class, they are asked to determine whether their process is stable and capable, critique their plans, and recommend plan modifications before they commence mass production. This exercise provides students with a unique opportunity to combine several fundamental topics from an operations management course into one assignment. Furthermore, assessment of learning outcomes before and after the exercise suggests that it improves learning outcomes in several areas.     

Randomization‐based statistical inference: A resampling and simulation infrastructure

Statistical inference involves drawing scientifically‐based conclusions describing natural processes or observable phenomena from datasets with intrinsic random variation. We designed, implemented, and validated a new portable randomization‐based statistical inference infrastructure ( http://socr.umich.edu/HTML5/Resampling_Webapp ) that blends research‐driven data analytics and interactive learning, and provides a backend computational library for managing large amounts of simulated or user‐provided data. We designed, implemented and validated a new portable randomization‐based statistical inference infrastructure ( http://socr.umich.edu/HTML5/Resampling_Webapp ) that blends research‐driven data analytics and interactive learning, and provides a backend computational library for managing large amounts of simulated or user‐provided data. The core of this framework is a modern randomization webapp, which may be invoked on any device supporting a JavaScript‐enabled web browser. We demonstrate the use of these resources to analyse proportion, mean and other statistics using simulated (virtual experiments) and observed (e.g. Acute Myocardial Infarction, Job Rankings) data. Finally, we draw parallels between parametric inference methods and their distribution‐free alternatives. The Randomization and Resampling webapp can be used for data analytics, as well as for formal, in‐class and informal, out‐of‐the‐classroom learning and teaching of different scientific concepts. Such concepts include sampling, random variation, computational statistical inference and data‐driven analytics. The entire scientific community may utilize, test, expand, modify or embed these resources (data, source‐code, learning activity, webapp) without any restrictions.     

统计语言模型分析

语言模型是实现自然语言处理的关键所在,在分析人类语音理解过程的基础上,介绍了统计语言模型,讨论总结了统计语言模型目前所面临的问题,为进一步提高统计语言模型能力提供了思路。