Digital Module 16: Longitudinal Data Analysis

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module begins with a nontechnical overview of longitudinal data analyses drawing distinctions with cross-sectional analyses in terms of research questions to be addressed. Nuances of longitudinal designs, timing of measurements, and the real possibility of missing data are then discussed. The three interconnected components of the LME model—(1) a model for individual and mean response profiles, (2) a model to characterize the covariation among the time-specific residuals, and (3) a set of models that summarize the extent that individual coefficients vary—are discussed in the context of the set of activities comprising an analysis. Finally, they demonstrate how to estimate the linear mixed effects model within an open-source environment (R). The digital module contains sample R code, diagnostic quiz questions, hands-on activities in R, curated resources, and a glossary.     

复习C语言应注意的几个方面(之三)——针对CCTC语言函数部分

本文主要针对CCT中的C语言部分,在复习时应该注意的几个方面,以讲、例结合的方式作了详细的论述。     

流媒体中一种高质量视频内容的设计

结合当前流行的流媒体技术,深入分析了流媒体技术及其文件格式,讨论了如何实现流媒体高质量的视频内容.在此基础上,本文实现了一个基于流媒体的高质量视频内容的设计.     

在PHP中利用绑定变量提高Oracle的存储效率

介绍了Oracle的存储结构和共享机制以及在PHP中利用绑定变量实现SQL语句共享的方法。     

中文电子病历的分词及实体识别研究

[目的/意义]健康医疗大数据是我国重要的基础性战略资源，本研究对中文电子病历分词与实体识别的探讨与实证较好地完成了医疗数据的信息抽取任务，对今后医疗大数据在语义层面的应用发展具有重要意义。[方法/过程]本研究首先融合权威词表、官方标准、健康网站数据及其他医学补充词库构建了词语数量级达到10万的医学词表；然后对电子病历的字段进行分词，对比了jieba工具、导入词典后的jieba、无监督学习及AC自动机4种模型的分词效果；最后，以自动分词和人工标注结果为语料，实现基于条件随机场的电子病历实体识别研究，并比较不同实体类别以及不同文本特征下的实体识别效果，选出最优模板。[结果/结论]分词结果显示，AC自动机的效果最好，F值可达82%；实体识别结果表明，"检查"和"疾病"实体的识别效果最好，而"症状"的识别效果不太理想。     

An NCME Instructional Module on Data Mining Methods for Classification and Regression

Data mining methods for classification and regression are becoming increasingly popular in various scientific fields. However, these methods have not been explored much in educational measurement. This module first provides a review, which should be accessible to a wide audience in education measurement, of some of these methods. The module then demonstrates using three real‐data examples that these methods may lead to an improvement over traditionally used methods such as linear and logistic regression in educational measurement.     

Gender-preferential intergenerational patterns in primary educational attainment: An econometric approach to a case in rural Mindanao,the Philippines

This study investigates the factors determining children's educational attainment, focusing on gender-differential intergenerational patterns, by employing a case study from rural Mindanao. The result mainly shows, unlike general trends in developing countries, educational attainment is more favorable for girls; maternal education level is equally associated with daughters’ and sons’ education levels, and paternal education level is preferentially favorable to their sons. To reduce the disparity, suggestions include providing boy-specific interventions to enhance the magnitude of the father–son educational virtuous circle and comparing the magnitude of gender-equal maternal and boy-preferential paternal education influences to specify which effect is larger.     

亲子互动治疗研究的新取向

随着亲子互动治疗的研究和应用范围扩大,亲子互动治疗研究出现新的取向:亲子互动治疗的应用范围明显扩大,亲子互动治疗的实施方法出现变异和创新,开始关注影响治疗效果的治疗师等变量,治疗过程中患者的离开现象引起了研究者的重视等。其研究的新取向为我国心理治疗领域的深入和拓展提供了新的研究思路。     

学术文献引文上下文自动识别研究

[目的/意义] 引文内容分析能够帮助揭示文献引用关系的深层语义内涵,而引文上下文识别作为引文内容分析的基础显得尤为重要。[方法/过程] 梳理已有引文上下文研究的现状,总结当前引文上下文识别的不足,在此基础上归纳引文上下文识别的5类特征,并采用文本分类和序列标注两种方法开展引文上下文自动识别实验。[结果/结论] 实验结果表明,本文提出的特征能够很好地提升引文上下文识别效果,且基于文本分类的SVM分类效果要优于基于序列标注的CRF。     

用分离变量法求静电场问题的新思路

给出一种用分离变量法求解均匀介质球内外放有点电荷或自由偶极子等类问题电势的新方法．