二语情感抽象概念加工的具身认知研究

基于具身认知框架下的概念隐喻理论，对中国英语学习者抽象情感词加工的具身认知进行了实证研究。结果发现:（1）二语情感抽象概念存在“积极在上，消极在下”的垂直空间隐喻映射；（2）不同水平组对二语抽象情感词的加工成本存在不对称性；（3）中国英语学习者对不同效价的抽象情感词加工成本趋异。实验结果证明了情感抽象概念能够通过隐喻的方式建立与感知运动信息的联系，情感模拟对二语抽象情感词的加工具有促进作用。     

人力资本积累、信息约束与外出务工者返乡创业——基于安徽省993份调研数据的分析

基于2018年安徽省993份问卷调查数据,运用Probit模型实证分析人力资本积累对外出务工者返乡创业的影响.结果表明:文化程度、创业培训以及健康状况对返乡创业具有显著的正向影响,另 外,宏观政策环境和信息渠道是影响返乡创业的外在约束条件.因此,应多途径合力提高返乡人员的文化素质,全方位提升创新创业培训的实际成效,强化全体返乡创业者对身体健康的深刻认识,促进实用性创业信息的流动共享.     

新时代教师安全素质培养体系的构建

在倡导"生命至上、安全第一"的新时代，安全素质已然成为教师专业素质结构中的重要组成部分。但目前我国中小学教师安全素质水平较低，其主要原因在于校内安全教育的低效与共性化、职后安全培训的不足以及自主学习途径的缺乏。针对当前存在的主要问题，教师安全素质培养路径的优化和培养体系的构建可以从三个方面展开：首先，在职前修订师范教育人才培养标准，重建教师专业素质结构，同时调整安全教育的课程设置，协同第二课堂提升教师安全素质；其次，在职后扩大教师安全培训对象，建立"分层进阶"新模式，对安全考试合格者发放教师安全培训合格证书，调整和完善中小学校岗位安全工作指南；第三，在日常工作期间，逐步改善教师自主学习条件，积极开展安全专题类校本课程研究。     

小学男教师专业发展的影响因素及促进策略

作为整个小学教师队伍中的重要群体，小学男教师的专业发展对我国小学教育质量的提高具有重要作用。通过问卷调查法和访谈法，分析上海小学男教师专业发展的现状，梳理影响小学男教师专业发展的有利和不利因素，在此基础上，从小学男教师自身、中小学、师范院校、政府部门等四个维度，提出促进小学男教师专业发展的策略，以期为小学男教师专业发展提供帮助。     

Toward General Principles for Resilience Engineering

Maintaining the performance of infrastructure-dependent systems in the face of surprises and unknowable risks is a grand challenge. Addressing this issue requires a better understanding of enabling conditions or principles that promote system resilience in a universal way. In this study, a set of such principles is interpreted as a group of interrelated conditions or organizational qualities that, taken together, engender system resilience. The field of resilience engineering identifies basic system or organizational qualities (e.g., abilities for learning) that are associated with enhanced general resilience and has packaged them into a set of principles that should be fostered. However, supporting conditions that give rise to such first-order system qualities remain elusive in the field. An integrative understanding of how such conditions co-occur and fit together to bring about resilience, therefore, has been less clear. This article contributes to addressing this gap by identifying a potentially more comprehensive set of principles for building general resilience in infrastructure-dependent systems. In approaching this aim, we organize scattered notions from across the literature. To reflect the partly self-organizing nature of infrastructure-dependent systems, we compare and synthesize two lines of research on resilience: resilience engineering and social-ecological system resilience. Although some of the principles discussed within the two fields overlap, there are some nuanced differences. By comparing and synthesizing the knowledge developed in them, we recommend an updated set of resilience-enhancing principles for infrastructure-dependent systems. In addition to proposing an expanded list of principles, we illustrate how these principles can co-occur and their interdependencies.     

Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network

Human factors are widely regarded to be highly contributing factors to maritime accident prevention system failures. The conventional methods for human factor assessment, especially quantitative techniques, such as fault trees and bow-ties, are static and cannot deal with models with uncertainty, which limits their application to human factors risk analysis. To alleviate these drawbacks, in the present study, a new human factor analysis framework called multidimensional analysis model of accident causes (MAMAC) is introduced. MAMAC combines the human factors analysis and classification system and business process management. In addition, intuitionistic fuzzy set theory and Bayesian Network are integrated into MAMAC to form a comprehensive dynamic human factors analysis model characterized by flexibility and uncertainty handling. The proposed model is tested on maritime accident scenarios from a sand carrier accident database in China to investigate the human factors involved, and the top 10 most highly contributing primary events associated with the human factors leading to sand carrier accidents are identified. According to the results of this study, direct human factors, classified as unsafe acts, are not a focus for maritime investigators and scholars. Meanwhile, unsafe preconditions and unsafe supervision are listed as the top two considerations for human factors analysis, especially for supervision failures of shipping companies and ship owners. Moreover, potential safety countermeasures for the most highly contributing human factors are proposed in this article. Finally, an application of the proposed model verifies its advantages in calculating the failure probability of accidents induced by human factors.     

马克思主义利益观的当代意义

利益是一个亘古不变的话题,贯穿社会发展的始终.对利益的概念也很难以言传,通常的理解就是“好处”.在社会主义市场经济条件下,加强对马克思主义利益观的研究,对建设美丽“中国梦”有重要的理论意义和现实意义.     

Rank aggregation using latent-scale distance-based models

Rank aggregation aims at combining rankings of a set of items assigned by a sample of rankers to generate a consensus ranking. A typical solution is to adopt a distance-based approach to minimize the sum of the distances to the observed rankings. However, this simple sum may not be appropriate when the quality of rankers varies. This happens when rankers with different backgrounds may have different cognitive levels of examining the items. In this paper, we develop a new distance-based model by allowing different weights for different rankers. Under this model, the weight associated with a ranker is used to measure his/her cognitive level of ranking of the items, and these weights are unobserved and exponentially distributed. Maximum likelihood method is used for model estimation. Extensions to the cases of incomplete rankings and mixture modeling are also discussed. Empirical applications demonstrate that the proposed model produces better rank aggregation than those generated by Borda and the unweighted distance-based models.

     

Conditional variance estimation via nonparametric generalized additive models

Generalized additive models provide a way of circumventing curse of dimension in a wide range of nonparametric regression problem. In this paper, we present a multiplicative model for conditional variance functions where one can apply a generalized additive regression method. This approach extends Fan and Yao (1998) to multivariate cases with a multiplicative structure. In this approach, we use squared residuals instead of using log-transformed squared residuals. This idea gives a smaller variance than Yu (2017) when the variance of squared error is smaller than the variance of log-transformed squared error. We provide estimators based on quasi-likelihood and an iterative algorithm based on smooth backfitting for generalized additive models. We also provide some asymptotic properties of estimators and the convergence of proposed algorithm. A numerical study shows the empirical evidence of the theory.     

西尔科的小说《典仪》的生态批评解读

西尔科的小说《典仪》从自然生态、社会生态和精神生态三个维度反映了造成人类生态危机的思想文化根源,表达了印第安文化中蕴含的和谐生态智慧。这不仅是处于困境中的印第安民族的出路,更是人类恢复生态、自我救赎的救助策略。