关注学校冷暴力

随着基础教育改革的逐渐深入,“以人为本”、关注人、关注人的发展的“人性化”教育理念正逐渐深入人心。但正是这种背景。使教育的一个新课题——“冷暴力”问题凸显出来。“冷暴力”现象的存在,其危害是不言而喻的,可它的存在由来已久,如何减少乃至消除这一现象,需要全社会的齐心协力,共同构建和谐校园。     

父亲参与育儿的中日比较研究

在少子化、独生子女化的时代背景下,随着代际的更替,中国和日本年轻人的社会、家庭角色观念正在发生变化,这种变化同样表现在育儿理念、育儿方式方面。在实行女性终身就业制度的中国．育儿期父母往往依赖自己的双亲,帮助抚育年幼的孩子。而在日本,传统的“男外女内”的夫妻角色分工正在受到挑战,越来越多的日本已婚女性希望延续职业生涯,在工作与家庭角色之间寻求平衡。与此同时,科学的进步和优生优育理念的普及。使当代人对科学喂养、早期教育、父亲参与育儿等更为关注,并试图在育儿过程中加以履行。但是,现实生活中,社会的育儿福利政策、企业的工作环境、职业的竞争压力等都使年轻父母不可避免地遭遇社会角色和家庭角色的冲突。面对“两难”困境,除了家庭内部,尤其是夫妻间需要进行角色调适外,更需要政府制定和改善有利于育儿的福利制度,企业给予育儿期父母合适的待遇．社会提供更多缓解育儿焦虑的支持。本研究客观描述了中日两国父亲参与育儿的现状,而且试图发现影响父亲角色转换的一系列相关因素,并对此提出制度改善和社会支持的建议。     

基于SOM神经网络的区域复合生态系统健康评估

文章基于SOM神经网络,分析与评估了我国四大经济区域复合生态系统健康等级.空气质量、住房消费和节能降耗对复合生态系统健康评估影响力最大;中国区域复合生态系统主要处在健康和亚健康状态,江苏复合生态系统健康值排名第一,处于健康状态;天津经济子系统和海南自然子系统排名第一,健康值都超过0.8,处在很健康的状态;北京社会子系统健康指数排名第一;东部地区生态系统健康总指数最高,社会、经济和自然健康指数排名都是第一,也都超过0.6,处在健康等级.     

Generalized empirical likelihood inference in partially linear model for longitudinal data with missing response variables and error-prone covariates

In this article, we consider statistical inference for longitudinal partial linear models when the response variable is sometimes missing with missingness probability depending on the covariate that is measured with error. A generalized empirical likelihood (GEL) method is proposed by combining correction attenuation and quadratic inference functions. The method that takes into consideration the correlation within groups is used to estimate the regression coefficients. Furthermore, residual-adjusted empirical likelihood (EL) is employed for estimating the baseline function so that undersmoothing is avoided. The empirical log-likelihood ratios are proven to be asymptotically Chi-squared, and the corresponding confidence regions for the parameters of interest are then constructed. Compared with methods based on NAs, the GEL does not require consistent estimators for the asymptotic variance and bias. The numerical study is conducted to compare the performance of the EL and the normal approximation-based method, and a real example is analysed.     

中国股市高阶矩风险及其对投资收益的冲击

本文首先建立NAGARCHSK模型,推算市场收益率的条件高阶矩序列,在此基础上建立引入高阶矩风险的收益-风险时变四因子状态空间模型,并基于2000-2016年中国股票市场的收益率数据,实证探究不同时期市场高阶矩风险对投资收益的冲击.结果显示:我国股票市场收益受到高阶矩风险的影响,并且条件高阶矩序列表现出时变和波动聚集的特征,大规模的全球性金融危机和国内市场的重大风险事件均会使股市收益的条件高阶矩序列出现持续的异常波动.在未出现极端金融危机的稳定时期,市场收益率的条件方差会趋于对投资收益产生正向影响,条件偏度和条件峰度对投资收益的影响在正向和负向之间不断交替,增加了投资收益的不确定性.然而在全球性的极端金融危机时期,市场收益率的条件方差会转而对投资收益产生负向影响,条件峰度则会对投资收益带来持续的正向影响.     

大数据背景下线上商品价格变动对CPI的影响

文章利用2011年2月至2015年9月阿里巴巴研究院公布的网络零售价格(ASPI)指数及其各分类商品价格指数与国家统计局公布的CPI历史数据分别作为线上、线下一般商品价格变动的代理变量,在协整检验的基础上采用向量误差修正模型对线上、线下商品价格变动的关联关系进行了定量分析,并对构成ASPI的各分项商品价格指数与CPI之间的关系进行了分析.研究表明:在误差修正机制的作用下,线上、线下商品价格之间存在稳定均衡的关系.     

北京非首都功能疏解的思考与刍议——基于"新都市主义"的视角

从集聚的两面性切入"首都城市病"问题,反思疏解集聚的必要性.在回顾城市发展史和总结"新都市主义"理论体系的基础上,认为疏解北京非首都功能应先搞清北京集聚背后的功能因素.通过国际横向对比和国内纵向对比发现,北京存在核心首都功能不强,发展不够紧凑;非核心首都功能和非首都功能冗余,城市增长出现低效率化.因此,将"新都市主义"理论中国化,提出北京未来的疏解思路:TOD模式中国化.     

Likelihood procedure for testing changes in skew normal model with applications to stock returns

The skew normal distribution family is an attractive distribution family due to its mathematical tractability and inclusion of the normal distribution as the special case. It has wide applications in many applied fields such as finance, economics, and medical research. Such a distribution family has been studied extensively since it was introduced by Azzalini in 1985 Azzalini, A. (1985). A class of distributions which includes the normal ones. Scandinavian Journal of Statistics 12:171–178. [Google Scholar] for the first time. Yet, few work has been done on the study of change point problem related to this distribution family. In this article, we propose the likelihood ratio test (LRT) to detect changes in the parameters of the skew normal distribution associated with some asymptotic results of the test statistic. Simulations have been conducted under different scenarios to investigate the performance of the proposed method. Comparisons to some other existing method indicate the comparable power of the method in detecting changes in parameters of the skew normal distribution model. Applications on two real data: Brazilian and Tanzanian stock returns illustrate the detection procedure.     

An optimal online algorithm for the parallel-batch scheduling with job processing time compatibilities

We consider the online (over time) scheduling on a single unbounded parallel-batch machine with job processing time compatibilities to minimize makespan. In the problem, a constant \(\alpha >0\) is given in advance. Each job \(J_{j}\) has a normal processing time \(p_j\). Two jobs \(J_i\) and \(J_j\) are compatible if \(\max \{p_i, p_j\} \le (1+\alpha )\cdot \min \{p_i, p_j\}\). In the problem, mutually compatible jobs can form a batch being processed on the machine. The processing time of a batch is equal to the maximum normal processing time of the jobs in this batch. For this problem, we provide an optimal online algorithm with a competitive ratio of \(1+\beta _\alpha \), where \(\beta _\alpha \) is the positive root of the equation \((1+\alpha )x^{2}+\alpha x=1+\alpha \).     

Network domains in social networking sites: expectations,meanings, and social capital

This paper examines why the use of social networking sites (SNSs) leads to different results in cultivating bridging and bonding social capital for different groups of people. Based on in-depth interviews of 45 university students in Hong Kong, I find that Mainland Chinese students studying in Hong Kong actively use SNSs for seeking practical information about offline matters, and they obtain substantial enacted support from other Mainland students of the same university through SNS use. As a result, they accumulate both bridging and bonding social capital. Local Hong Kong students, however, use SNSs mainly for social information seeking and are only able to accrue limited bridging social capital through SNS use. Drawing on the theory of network domains, I argue that the different offline network structures in which students are located – namely, homogeneous and closed networks versus heterogeneous and open networks – explain this difference. Students with closed offline networks have defined expectations of online ties; they think of their online activities as practical and leading to real changes in their status among peers. Those with open networks have indefinite expectations of their online audience; thus, they interpret online activities differently, thinking of them as recreational, and they are playful in their online behaviour. These different outcomes of online activities consequently lead to diverse results in social capital accrual.