英语学习策略研究的发展与现状

本文首先对语言学习策略研究与发展过程进行了简要回顾,分析比较了各种语言学习策略理论的特点.在此基础之上,重点总结分析了国内学者对英语词汇、阅读、听力、写作及口语学习策略的研究情况.文章最后指出了英语学习策略研究中存在的不足和今后需要进一步探讨的问题.     

环北京地区生态环境与生态灾害历史研究

北京从金代海陵王营建中都,历金、元、明、清、民国,至今已建都近千年。在漫长的历史时期中,随着地区经济的发展和人口的增多,北京及其周边地区的生态环境不断被破坏,各种生态灾害愈演愈烈。自然灾害的加剧反过来又激化了社会矛盾,影响了历史的进程。本文对历史文献记载的生态灾害进行了回顾,就其原因及应对措施作了分析和探讨。     

Strengths-Based Approach and Coping Strategies used by Parents Whose Young Children Exhibit Violent Behaviour: Collaboration Between Schools and Parents

This research study explores the strategies adopted by 60 parents of children between 3 and 9 years of age considered to have engaged in violent behaviour, within the meaning of the Safe Schools Act (Ontario Ministry of Education, Canada, 2000). This legal framework requires parents to be involved in the decisions concerning their children. Parents’ perceptions of their involvement lead them to develop coping strategies enabling them to play a more active role in such decision making. This article analyzes their perceptions according to a strengths-based approach and seeks to provide a mediation perspective to social work practice with families.

“双积分”政策下汽车制造商竞争定价与减排策略研究

"双积分"政策的实施对汽车制造商的定价决策产生了重要影响。考虑卖方由同时生产燃油车和新能源汽车的制造商1和仅生产新能源汽车的制造商2组成,在消费者低碳偏好和价格竞争影响下分别针对制造商1对燃油车采取和不采取节能减排措施的情况,研究"双积分"政策下汽车制造商的定价策略和减排决策,探讨新能源汽车积分值和积分比例要求对政府和企业决策的作用效果。进一步,通过对不同情形的结果进行分析,得到"双积分"政策的出台、消费者低碳偏好及制造商采取节能减排措施对制造商定价和减排决策带来的变化,并通过算例分析验证了结论。研究结果表明:(1)"双积分"政策可以降低新能源汽车的价格,提高新能源汽车制造商的利润,促进燃油车主动减排。(2)当新能源汽车的需求价格弹性系数和需求交叉价格弹性系数处于较高水平时,政府要制定较高的每台新能源汽车积分值。(3)燃油车的油耗水平存在一个环境属性标准,当油耗水平低于一定值时,随着新能源汽车积分比例要求的不断增大,制造商1选择提高燃油车价格。(4)消费者低碳偏好是提高燃油车减排水平的重要因素,政府可以对减排技术先进的燃油车制造商进行低油耗认证,提高消费者低油耗燃油车需求,激励燃油车制...     

Paving the Way for A Normal Life: A Qualitative Study of Coping Strategies Among Iranian Divorced Women

Regarding the devastating aftermath of divorce among Iranian divorced women, which is mainly affected by sociocultural factors, this qualitative study was conducted to explore their applied strategies in reorganizing their lives. Data collection started through deep unstructured interviews followed by semistructured interviews with 18 divorced women who were chosen by purposive sampling from mental health clinics, social work centers, or available cases. Gathered data were analyzed using the qualitative content analysis method. Two main themes—behaviors of self-preservation and abstinence and struggling for balance—emerged. Subcategories were concealing the divorce, feminine self-restriction, avoidance behaviors, replacement of losses, seeking support, role development, handling the tensions, and defending oneself against the divorce failure. This study provides comprehensive knowledge of how Iranian divorced women reregulate their lives and also highlights their unique and culture-based coping strategies. Therefore, it provides specialists with a context-specific foundation for mental health care and enables them to intervene more effectively.     

‘Occupation Children’ in Germany after World War II — Problems and Coping Strategies

The article focuses on the autobiographical memories of people born in Germany after the Second World War, whose mothers were local women and whose fathers were members of the allied forces. Based on the analysis of narrative interviews, we ask how these people experienced their growing up and their sociocultural environment in the post‐war era, and what kind of coping strategies they developed to deal with adverse living conditions.     

Functional and emotional traits of corporate social media message strategies: Behavioral insights from S&P 500 Facebook data

Drawing from literature regarding public engagement, the Elaboration Likelihood Model (ELM), computer-mediated communication research, and emotion psychology, this study examines the effects of companies’ social media communication strategies on public engagement behaviors as indexed by post likes, shares, and comments. Specifically, it investigates how corporate Facebook posts’ functional traits (functional interactivity and vividness) and emotional traits (emotion presence, valence, and strength) impact public engagement online. Through data mining and computer-assisted sentiment analysis of 33,379 posts from 106 Standard & Poor 500 companies’ Facebook accounts, this study finds a negative effect of functional interactivity but a positive effect of vividness on engagement. It also shows that emotional traits overall yield stronger public engagement outcomes. Two-way interactions between emotional and functional features are also detected. Theoretical and practical implications are discussed.     

Online crisis communication in a post-truth Chinese society: Evidence from interdisciplinary literature

Through a thematic content analysis of 118 journal articles from interdisciplinary fields, this study reviews the research trends of online crisis communication literature in a Chinese post-truth society, where objective facts play a diminishing role, and Chinese people are losing their trust, despite the best efforts of organizations to deal with fake news in crises. Results of this study disclose some unique crisis communication strategies (e.g., strategic distraction, rumor-rebuttal, fabrication, acting cute, and content censorship) in crises of China. Influential contextual factors such as the political system, cultural values, and media features are identified as well. Theoretical and practical implications of this study are discussed, and a greater picture of online crisis communication in contexts is posited for future research.     

Monitoring S3: Key dimensions and implications

Our work analyses the implications of a smart specialisation strategy (S3) monitoring model based on a system that considers three main axes linked to the logic of the strategies: output/results, smart specialisation process, and a learning component, on which we build our main approach. This strategic learning is based on the logic that S3 presents a new paradigm within the innovation policy scope that requires the inclusion of monitoring schemes that integrate the assessment of the dynamic process under which both public administration and other innovation stakeholders learn and improve their activities (within and without the strategy) thanks to the learning gathered throughout S3 (and its instruments and projects) implementation. The article also discusses this logic within the current and the next programming period for S3, and the role monitoring has or will have, while analysing the opportunities and challenges it presents.     

Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data

The extent of economic losses due to a natural hazard and disaster depends largely on the spatial distribution of asset values in relation to the hazard intensity distribution within the affected area. Given that statistical data on asset value are collected by administrative units in China, generating spatially explicit asset exposure maps remains a key challenge for rapid postdisaster economic loss assessment. The goal of this study is to introduce a top‐down (or downscaling) approach to disaggregate administrative‐unit level asset value to grid‐cell level. To do so, finding the highly correlated “surrogate” indicators is the key. A combination of three data sets—nighttime light grid, LandScan population grid, and road density grid, is used as ancillary asset density distribution information for spatializing the asset value. As a result, a high spatial resolution asset value map of China for 2015 is generated. The spatial data set contains aggregated economic value at risk at 30 arc‐second spatial resolution. Accuracy of the spatial disaggregation reflects redistribution errors introduced by the disaggregation process as well as errors from the original ancillary data sets. The overall accuracy of the results proves to be promising. The example of using the developed disaggregated asset value map in exposure assessment of watersheds demonstrates that the data set offers immense analytical flexibility for overlay analysis according to the hazard extent. This product will help current efforts to analyze spatial characteristics of exposure and to uncover the contributions of both physical and social drivers of natural hazard and disaster across space and time.