以目的与背景知识为双条件的逻辑AKC

首先,我们构造以目的和背景知识为双条件的条件句系统AKC,给出它的一些证明论结果。其次,我们引入有序邻域语义,给出描述AKC的特征公理和推理规则的框架条件,证明AKC相对这些框架条件是框架可靠的。最后,我们证明AKC相对这些框架条件也是框架完全的。     

Analysing non-doctrinal socialization: re-assessing the role of cognition to account for social cohesion in the Religious Society of Friends

To incorporate newcomers into membership, a group employs socialization strategies to transform the characteristics of the newcomers, so that it can admit them with the confidence that their behaviour will not endanger group unity. Analyses of socialization emphasize that novices' interiorization of an institutional definition of group behaviour is a necessary condition to ensure successful socialization. The contemporary Religious Society of Friends in Britain, however, is a non-doctrinal religious movement that avoids defining the content of its beliefs and practices. To analyse the socializing interaction between members and newcomers in this movement in Britain, and among co-religionists in the USA, this inquiry applies a model of socialization that does not include assumptions about the role played by cognition in socialization (Long and Hadden 1983). My results show that: (a) the diffuseness in Friends' collective explanations of institutional conduct supports novices' identification with institutional practice, and (b) experimental and affective components in socialization motivate novices to imitate institutional behaviour despite the fact that Friends have no authoritative explanations of such behaviour. The data suggest that socialization and social cohesion are not necessarily as strongly cognitive-oriented phenomena as they were previously thought to be. This finding has important implications for thinking about social cohesion in postmodern society.     

蔡元培翻译观的认识论诠释

本文从哲学认识论的角度对蔡元培在《国文学讲义.叙言》中隐含的“译即易”的译学观点进行了诠释。认为翻译过程就是译者主体对于文本客体的认识活动,在这一认识过程中,译者主体的认知结构、价值观念、情感等都对翻译起着重要的作用,从而产生不同的认识结果即不同的译本。但译者主体作用的发挥最终还是要受到文本这个客体和原文本作者这另一主体的制约。文本内容,即原作者的思想仍旧是无法改变的。     

俄语动词前缀的语义聚合研究

在俄语中动词的地位举足轻重,新的语言研究往往都与动词有着紧密的联系。俄语动词前缀是一种语义复杂的多义性词素,可以纳入多种语义聚合关系之中。针对俄语动词前缀典型的语义特点,可以尝试在语义场的理论框架内,从宏观的角度划分和研究动词前缀的各种语义场,即一组组具有一定共同语义特征的前缀所组成的聚合体。     

概念迁移视阈下基于语料库的非英语专业学习者动名词搭配错误研究

文章拟从概念迁移视角研究大学英语写作中的动-名词搭配错误,研究采用语料库定量与定性相结合的分析方法。语料取材于中国学习者英语语料库（CLEC）,包括大学英语低年级学习者（St3）和高年级学习者（St4）两个子语料库。利用检索工具Ant Conc3.58检索中国学习者作文中的动-名词搭配错误,从而对大学生英语写作中的动-名词搭配错误进行描述与分类,进而分析造成大学生英语写作动-名词搭配误用的潜在原因,并对现有大学英语教学做出反思。     

英语习语变体的认知阐释

英语习语变体不仅是语用者对习语创造性地应用,也反映了语用者的认知思维方式。人类在认识和感知世界的过程中取得的经验促成了人类的概念,并以特有的方式在语言结构中加以兑现,人类以与生俱来的认知能力,将身体经验和社会经验投射为抽象的概念结构。英语习语的变体是一般认知过程作用于思维、概念的结果。通过用认知语言学的框架理论和原型范畴理论来探讨英语习语变体的现象,我们可以更加充分地认识英语习语变体的认知本质。     

Coherent mortality forecasting by the weighted multilevel functional principal component approach

In human mortality modelling, if a population consists of several subpopulations it can be desirable to model their mortality rates simultaneously while taking into account the heterogeneity among them. The mortality forecasting methods tend to result in divergent forecasts for subpopulations when independence is assumed. However, under closely related social, economic and biological backgrounds, mortality patterns of these subpopulations are expected to be non-divergent in the future. In this article, we propose a new method for coherent modelling and forecasting of mortality rates for multiple subpopulations, in the sense of nondivergent life expectancy among subpopulations. The mortality rates of subpopulations are treated as multilevel functional data and a weighted multilevel functional principal component (wMFPCA) approach is proposed to model and forecast them. The proposed model is applied to sex-specific data for nine developed countries, and the results show that, in terms of overall forecasting accuracy, the model outperforms the independent model and the Product-Ratio model as well as the unweighted multilevel functional principal component approach.     

Linear scalar-on-surface random effects regression models

Many research fields increasingly involve analyzing data of a complex structure. Models investigating the dependence of a response on a predictor have moved beyond the ordinary scalar-on-vector regression. We propose a regression model for a scalar response and a surface (or a bivariate function) predictor. The predictor has a random component and the regression model falls in the framework of linear random effects models. We estimate the model parameters via maximizing the log-likelihood with the ECME (Expectation/Conditional Maximization Either) algorithm. We use the approach to analyze a data set where the response is the neuroticism score and the predictor is the resting-state brain function image. In the simulations we tried, the approach has better performance than two other approaches, a functional principal component regression approach and a smooth scalar-on-image regression approach.     

Uniform consistency rate of kNN regression estimation for functional time series data

In this paper, we investigate the k-nearest neighbours (kNN) estimation of nonparametric regression model for strong mixing functional time series data. More precisely, we establish the uniform almost complete convergence rate of the kNN estimator under some mild conditions. Furthermore, a simulation study and an empirical application to the real data analysis of sea surface temperature (SST) are carried out to illustrate the finite sample performances and the usefulness of the kNN approach.     

#BlackLivesMatter: Innovative Black Resistance

Since 2013, extrajudicial police killings of black people have captured the attention of U.S. and international media, substantially because of the work of leaders in the Black Lives Matter (#BLM) movement. #BLM is simultaneously a group of localized organizations and a broad online social movement. In this article, we examine the #BLM movement in detail, with particular emphasis on the following aspects of the movement: (1) its innovative organizational practices and social media use; (2) its accent on black perspectives (counterframing) of systemic racial oppression, heteronormativity, and capitalism; and (3) its broad emphasis on oppressed Americans, including black women and LGBTQ people. We also situate the #BLM movement within the surrounding system of racial oppression, including the historical role of racialized policing in maintaining social control of blacks. We detail the long tradition of black social movements, especially black feminist organizing, against systemic racial oppression. In doing so, we intend to contribute social movement theorizing that more fully considers powerful counterframed perspectives of black activists in U.S. social movements. Although the #BLM movement reflects black feminism and past civil rights movement struggles, it is a uniquely twenty‐first‐century social movement that uses new technologies for innovative social protest.