论鸦片战争前后广东民众反侵略斗争的影响

鸦片战争前后广东民众反侵略斗争,沉重打击了外来侵略势力,冲击了地方官府的媚外政策,捍卫了自身权益,但也产生了一些负面影响。     

陈独秀五四时期文学观念的正、反、合

文章运用还原研究的方法 ,返回到陈独秀“五四”时期理论建设原始形态中去 ,对其功利主义和审美论的文学观念进行理论探讨 ,在此基础上提出了陈独秀两种看起来自相矛盾的文学观念统一于“人的解放”的新见解。文章有意识地将陈独秀与“五四”一代人的理论倡导和实践联系在一起进行考察 ,企盼借此为人们认识和理解陈独秀以至整个“五四”新文学理论建设中的“二律背反”现象 ,提供一个通解     

Afterschool programs that support homeless youth: igniting hope and opportunities in the midst of trauma,uncertainty, and displacement

Across the United States, many afterschool and out-of-school time programs are making constructive and lasting impacts on the lives of homeless children and youth by providing expanded learning opportunities and positive youth development outcomes in a safe space. In this brief, we profile two youth-serving organizations and the After School Division of the California Department of Education to illustrate how afterschool programs can be part of the solution for homeless children and youth. Staff from these organizations shared their practices, successes, challenges, and lessons learned. Most importantly, they shared a message of hope and a vision for what is possible in the midst of trauma, uncertainty, and displacement.     

积极老龄化理念下的老年教育课程建设策略

发展老年教育是实施积极老龄化战略的重要举措,课程建设是教育目标得以实现的基本保证.结合当前老年教育课程建设的不足,本文提出,老年教育课程建设应以健康、参与和保障三大支柱作为服务目标,着力从课程目标取向、课程内容建构、课程实施形式以及课程师资组成等方面回应和落实积极老龄化理念的要求.     

限定摹状词理论的对比研究

本文通过论述罗素的子命题论、斯特劳森的语境论和唐纳南的功能论,分析三种限定摹状词理论在本体论、意义观、语境观、功能观等方面的异同,并由此透视对限定摹状词进行研究的哲学和语言学意义。     

校园媒体对大学校园文化建设的功能探析

校园媒体对大学校园文化建设的主要功能是舆论引导功能和文化上的同构建设功能。深受世界范围内媒体环境变革的影响,校园媒体对校园文化建设的功能面临新挑战。为应对这一挑战,校园媒体在舆论引导功能上要加强舆论导向与传播效果的统一、党性原则与受众意识的统一;在媒介文化建设上要深入研究“三贴近”方法,办有亲和力的校园权威媒体。本文同时还探讨了新形势下校园媒体新作用的正负效应及相应对策。     

信息内容可信度对消费者转基因食品接受程度的影响——以江苏省为例

深入研究外部信息传入特别是信息内容可信度对消费者转基因食品接受程度的影响对中国政府转基因科普宣传具有重要意义。利用江苏省消费者调查数据,定量研究信息内容可信度等因素对消费者转基因食品接受程度的影响,具体来说,定量研究积极属性信息内容和消极属性信息内容对不同风险人群(所有样本、低风险人群、高风险人群)转基因食品接受程度的影响。研究结果表明,外部信息传入更容易影响低风险人群对转基因食品的接受程度。积极属性和消极属性信息内容可信度分别显著正向和负向影响低风险人群对转基因食品的接受程度,且前者的作用较大。积极属性信息内容可信度对高风险人群转基因食品接受程度的影响较弱,而消极属性信息内容可信度对高风险人群几乎没有影响。     

Robust tests for the common principal components model

When dealing with several populations, the common principal components (CPC) model assumes equal principal axes but different variances along them. In this paper, a robust log-likelihood ratio statistic allowing to test the null hypothesis of a CPC model versus no restrictions on the scatter matrices is introduced. The proposal plugs into the classical log-likelihood ratio statistic robust scatter estimators. Using the same idea, a robust log-likelihood ratio and a robust Wald-type statistic for testing proportionality against a CPC model are considered. Their asymptotic distributions under the null hypothesis and their partial influence functions are derived. A small simulation study allows to compare the behavior of the classical and robust tests, under normal and contaminated data.     

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

Summary.  Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive models, smoothing spline models, state space models, semiparametric regression, spatial and spatiotemporal models, log-Gaussian Cox processes and geostatistical and geoadditive models. We consider approximate Bayesian inference in a popular subset of structured additive regression models, latent Gaussian models , where the latent field is Gaussian, controlled by a few hyperparameters and with non-Gaussian response variables. The posterior marginals are not available in closed form owing to the non-Gaussian response variables. For such models, Markov chain Monte Carlo methods can be implemented, but they are not without problems, in terms of both convergence and computational time. In some practical applications, the extent of these problems is such that Markov chain Monte Carlo sampling is simply not an appropriate tool for routine analysis. We show that, by using an integrated nested Laplace approximation and its simplified version, we can directly compute very accurate approximations to the posterior marginals. The main benefit of these approximations is computational: where Markov chain Monte Carlo algorithms need hours or days to run, our approximations provide more precise estimates in seconds or minutes. Another advantage with our approach is its generality, which makes it possible to perform Bayesian analysis in an automatic, streamlined way, and to compute model comparison criteria and various predictive measures so that models can be compared and the model under study can be challenged.     

Substance‐dependent women becoming mothers: breaking the cycle of adverse childhood experiences

Parenting may be particularly challenging for substance‐dependent mothers who have grown up with parents who themselves had substance use disorders (SUDs). The aim of this study was to explore how substance‐dependent mothers describe their childhood experiences with substance‐abusing parents and the association between these earlier experiences and their own role as caregivers. Using purposeful sampling, mothers admitted for 1 year to a family ward at a substance abuse clinic were approached. Through in‐depth, qualitative interviews, nine substance‐dependent mothers described their lives in the form of present, past and future tense. The findings indicate that substance‐dependent women, who have experienced SUDs in their families of origin, face several major challenges when they become mothers. Some describe having lived their whole lives ‘on the edge of society'. This makes their rehabilitation process more complex. All mothers work to abstain from substances, process traumatic experiences and integrate their family into society. They need help to build supportive social networks and to establish a safe and predictable family environment for themselves and their children. The therapeutic implications of these findings will be discussed.