A robust automatic clustering algorithm for probability density functions with application to categorizing color images

This study develops a robust automatic algorithm for clustering probability density functions based on the previous research. Unlike other existing methods that often pre-determine the number of clusters, this method can self-organize data groups based on the original data structure. The proposed clustering method is also robust in regards to noise. Three examples of synthetic data and a real-world COREL dataset are utilized to illustrate the accurateness and effectiveness of the proposed approach.     

关于就业创业课程开发及学习资源库建设的几点体会

总结了关于创业教育课程开发和就业创业学习资源库项目建设的意义、目标和主要任务、实施过程、取得的主要成果、重要贡献及项目进一步建设和推广的几点建议。     

Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods

ABSTRACT

The optimal learner for prediction modeling varies depending on the underlying data-generating distribution. Super Learner (SL) is a generic ensemble learning algorithm that uses cross-validation to select among a ‘library’ of candidate prediction models. While SL has been widely studied in a number of settings, it has not been thoroughly evaluated in large electronic healthcare databases that are common in pharmacoepidemiology and comparative effectiveness research. In this study, we applied and evaluated the performance of SL in its ability to predict the propensity score (PS), the conditional probability of treatment assignment given baseline covariates, using three electronic healthcare databases. We considered a library of algorithms that consisted of both nonparametric and parametric models. We also proposed a novel strategy for prediction modeling that combines SL with the high-dimensional propensity score (hdPS) variable selection algorithm. Predictive performance was assessed using three metrics: the negative log-likelihood, area under the curve (AUC), and time complexity. Results showed that the best individual algorithm, in terms of predictive performance, varied across datasets. The SL was able to adapt to the given dataset and optimize predictive performance relative to any individual learner. Combining the SL with the hdPS was the most consistent prediction method and may be promising for PS estimation and prediction modeling in electronic healthcare databases.     

语料库检索在英语词汇教学中的应用初探

回顾语料库发展的历史,发现传统英语词汇教学模式存在问题,而基于语料库技术的词汇教学却具有一定优势。通过语料库检索技术观察和分析declare和announce两词,可知语料库在英语词汇教学上所能发挥的功能与价值,能帮助学生更好地掌握词汇,同时更好地促进语料库技术在大学英语教学领域中的应用。     

Google Scholar和CCD的引文统计分析功能比较——从期刊被引频次角度分析

期刊被引频次是期刊评价中一个重要的计量指标,不同的引文数据库在用于被引频次统计时所得到的结果各不相同,这种统计结果的差异必将对期刊的排名结果造成较大的影响.文章选取“图书馆、情报与文献学”排名前10位的期刊,分别在Google Scholar和CCD(中国引文数据库)中以期刊名为主题词进行精确检索,统计各个期刊在2007 -2008两年间所刊载的论文的被引频次.通过统计结果的对比分析,我们认为CNKI是目前比较理想的中文期刊引文统计工具,而Google Scholar却在一定程度上代表着未来引文数据库的发展方向.     

Searching for Elder Abuse: A Systematic Review of Database Citations

ABSTRACT

The aim of this review was to describe trends and patterns in elder abuse literature and research. All citations in PUB MED, CINAHL, and PsycINFO databases located using the search term “elder abuse” were retrieved (3,059 citations) and 2,418 unique references were identified. Using manifest content analysis, non-research material (1,986 references) was sorted by type and research references (34 dissertations and 398 research articles) were categorized. Research article references most commonly: (1) investigated prevalence, typology, and definitions of elder abuse; (2) utilized quantitative methodology; (3) had first author affiliations to medicine, nursing, and social sciences; and (4) sampled populations of professionals, personnel, cases, or charts. The USA was most frequently listed of 24 identified countries of origin. Elder abuse research shows lack of diversity, slow increase of qualitative research, limited involvement of older persons and family members as participants, and minimal research from developing countries. This review contributes to knowledge valuable for researchers and experts planning future studies or elder abuse projects.     

高校教学基本状态数据的网络化管理

利用数据库技术,建立从院（系）、学校,到省（市、区）、教育部的四级数据库系统,有助于准确把握教学运行好状态,有利于教育宏观决策,有利于提高教学质量。该数据库系统可以实现数据采集、统计、分析和发布的功能,能够满足教学管理的需要。建立基于数据库技术的教学状态管理体系是为深化高等教育改革的有效途径。     

生物信息数据库资源及其应用

伴随着生物信息学的发展,生物信息数据库日趋完善。生物信息学数据库具有高度网络化,可以实现个人计算机平台上的自由访问,而且大部分数据免费获得等优点。为了充分利用生物信息数据库资源,提出了生物信息数据库在序列比对与电子克隆、蛋白质结构比对与预测、分子进化和比较基因组学研究、基于结构的药物设计等方面的应用策略,以期为我国学者提供免费的生物信息数据库资源,为生命科学各领域的研究构建信息平台。     

数据平台建设：推进我国院校研究的重要途径

数据收集是院校研究的基本职能,也是其提供管理咨询的重要基础。高校基础数据收集不力已成为制约我国院校研究推进的重要阻碍。质量评估提供了改善这一问题的机遇。在政府推动下,借助评估机遇,调整评估重心,加强数据平台建设,是推进我国院校研究的重要途径。     

Selecting a Computer-Based System to Assist Fund-Raising and Development Operations

Abstract

Increasingly, non-profit organizations and agencies must turn to the private sector to raise money to finance their work, and to increase the scope of their services. Computer software is available to assist and enhance organizational development efforts involving direct mail, “events,” and broadcast appeals. Social Work professionals may be responsible for selecting software systems for their agencies. What functions should such software perform? What criteria should it meet? The software should contain features that support each stage of a development cycle, manage mailing lists, provide financial and fund-accounting functions, produce letters and other communications, and generate statistics and reports for management control. Each of these functions is examined in some detail, as considerations to bear in mind when evaluating systems are discussed.