Sparse group lasso for multiclass functional logistic regression models

Sparsity-inducing penalties are useful tools for variable selection and are also effective for regression problems where the data are functions. We consider the problem of selecting not only variables but also decision boundaries in multiclass logistic regression models for functional data, using sparse regularization. The parameters of the functional logistic regression model are estimated in the framework of the penalized likelihood method with the sparse group lasso-type penalty, and then tuning parameters for the model are selected using the model selection criterion. The effectiveness of the proposed method is investigated through simulation studies and the analysis of a gene expression data set.     

浅议世界女子高校发展之路——从WEW教师论坛谈起

在崭新的世纪,世界女子高校将有何发展?世界妇女教育组织(WEW)的成立与2011年教师论坛的召开让我们认识到世界女子高校在发展中存在的问题,在坚定了发展女子高校信念的同时,对中国的女子高校亦有所启示。     

An m-estimation-based model selection criterion with a data-oriented penalty

In Wu and Zen (1999), a linear model selection procedure based on M-estimation is proposed, which includes many classical model selection criteria as its special cases, and it is shown that the selection procedure is strongly consistent for a variety of penalty functions. In this paper, we will investigate its small sample performances for some choices of fixed penalty functions. It can be seen that the performance varies with the choice of the penalty. Hence, a randomized penalty based on observed data is proposed, which preserves the consistency property and provides improved performance over a fixed choice of penalty functions.     

Parental income and the fruits of labor: Variability in homework efficacy in secondary school

Research in the sociology of education has shown that noncognitive traits are important predictors of educational outcomes and a mechanism of the intergenerational transmission of status. However, previous research on this topic typically posits that there is a constant effect of these traits with variable prevalences of these traits by socioeconomic status. Using time spent on homework as an example, I analyze income-based heterogeneity in homework efficacy, defined as the individual effect of study time on academic achievement, using a national U.S. probability sample of secondary students. Higher income students gain more knowledge from their homework time than their counterparts in all grades and all subjects except history, with greater group differences for math than for science and reading. These results are confirmed by models accounting for time-invariant unobserved heterogeneity in the 8th–10th, but not 10th–12th, grade windows. These results imply that increases in the amount of homework assigned may increase the socioeconomic achievement gap in math, science, and reading in secondary school.     

美国《双语教育法》颁布的社会背景研究——基于霍姆斯的四模式分析框架

在美国的中小学校除英语之外讲各种语言的学生,或者说那些不会讲英语的学生,他们的教育需求长期得不到妥善的解决。1968年颁布的《双语教育法》表明,美国联邦政府承认了美国学校体制中长期存在的只能使用英语教学的单语教学问题,如何使教学语言多样性是一个亟待解决的核心问题。以霍姆斯的四模式为分析框架,把颁布《双语教育法》时纷繁复杂的社会背景置于规范模式、组织制度模式、精神状态模式和自然环境模式中进行分析,结果显示:(1)移民人口剧增并逐步扩展到新的区域,给美国公立学校造成了巨大压力;(2)司法判例对所实施的隔离但平等原则的彻底否定催生了新的希望;(3)少数族裔群体谴责主流社会的不公平,他们要求身份认同和获得更多权利的呼声愈来愈大;(4)联邦政府对保障国防安全、消除贫困现象等多重利益的考量,促成了《双语教育法》的颁布。     

上海家庭教育的现状及发展思考

上海家庭教育既表现出典型的现代化趋势，也存在不符合现代家庭教育发展理念的若干问题，主要表现在：家庭治理模式向现代民主型模式转变，但部分家长的教养态度依然不够民主；父母对孩子成长的关注与孩子的心理需求存在较大偏差。父母最关心孩子的学习成绩，而孩子最希望父母关注他们的内心想法；亲子活动较少，孩子与父母的沟通意向不强，网络聊天对孩子的影响对亲子沟通方式提出了挑战。建议通过重新认识家庭教育的独特作用与功能定位；提高家庭教育的文化含量，建设和谐文化；加强家庭教育指导，满足多样化的家庭教育需求；加强平台建设，完善学校、家庭、社会“三位一体”合力育人机制等方式提升家庭教育质量。     

1906-1908年的郑孝胥与预备立宪公会

考虑到我国未来年度的OD分布预测中的路网构成变化、区域经济布局变动、区域经济增长速度差异等一些具有时变性和特殊性因素，采用在“四阶段法”运量预测基础上改进而成的“三阶段法”进行高速铁路短期客运量预测。首先采用组合预测模型进行趋势运量预测，然后采用多元LOGIT模型进行方式分担，最后采用弹性系数诱增模型进行诱增运量预测。以京沪高铁为例，采用“三阶段法”预测了2014年和2015年京沪高铁本线及跨线单向客流量。     

Deriving Behavior Model Parameters from Survey Data: Self‐Protective Behavior Adoption During the 2009–2010 Influenza A(H1N1) Pandemic

In this paper, we demonstrate how public opinion surveys can be designed to collect information pertinent to computational behavior modeling, and we present the results of a public opinion and behavior survey conducted during the 2009–2010 H1N1 influenza pandemic. The results are used to parameterize the Health Belief Model of individual health‐protective decision making. Survey subjects were asked questions about their perceptions of the then‐circulating influenza and attitudes towards two personal protective behaviors: vaccination and avoidance of crowds. We empirically address two important issues in applying the Health Belief Model of behavior to computational infectious disease simulation: (1) the factors dynamically influencing the states of the Health Belief Model variables and (2) the appropriateness of the Health Belief Model in describing self‐protective behavior in the context of pandemic influenza.     

Social Work Studies at a Haredi Women's College: Difficulties and Dilemmas

This paper examines the challenges faced by female Ultra-Orthodox students in a social work program designed for the Ultra-Orthodox community in Israel. Findings were obtained from four focus groups with a total of 32 students. The participants reported being exposed to contents that were inconsistent with the perspectives of their community, fieldwork expectations and requirements that violated strict rules of gender separation, and inconvenient scheduling of exams and field trips that did not take their religious observances into consideration. Despite the considerable distress that these matters caused, most of the students made determined efforts to cope, to learn the course material, to carry out their fieldwork assignments, and to reconcile the discrepancies between some of the contents they learned and behaviors that were expected of them and their deeply held values and ways. Implications of the findings are discussed and recommendations made.     

华岗“政治大课”简论

为了贯彻《共同纲领》的文教政策，使山东大学顺利实现向新民主主义大学的转变，在建国初期山东大学思想政治教育中，校长华岗为全校师生所授政治大课，采取理论联系实际和以理服人的方针，系统地给山大师生讲授了党的政策和马克思主义基本原理，提高了山大师生的觉悟，为20世纪50年代山大的辉煌奠定了基础。