Effective elements of care-physical activity initiatives for adults with a low socioeconomic status: A concept mapping study with health promotion experts

In care-physical activity (care-PA) initiatives, primary care and sports are combined to stimulate PA among adults at risk of lifestyle related diseases. Preliminary results from Dutch care-PA initiatives for adults with a low socioeconomic status (SES) indicate a decrease in participants’ body weight and an improved quality of life, however, the elements that make these initiatives successful are yet to be identified. In total, 19 Dutch health promotion experts participated in our concept mapping (CM) of the effective elements of care-PA initiatives for adults with a low SES. The experts identified 111 effective elements of these initiatives, which were grouped into 11 clusters, focusing on: 1) approaching participants within the care-PA initiative, 2) barriers experienced throughout the initiative, 3) long-term implementation, 4) customizing the care-PA initiative to the target population, 5) social support, 6) structure and guidance, 7) the professionals within the care-PA initiative, 8) the accessibility of the care-PA initiative, 9) targeted behaviour and progression, 10) recruitment and administration, and 11) intersectoral collaboration. CM was useful for creating a valuable overview of these effective elements. Our results could be used to improve the development and implementation of future care-PA initiatives for adults with a low SES.     

Bibliometrics of Big Data Research Literature in Social Science

[Purpose/Significance] This article provides a bibliometric study of the big data research literature in social science to explore its features and patterns both in domestic and international area, quantitatively and qualitatively. [Method/Process] This article collects the data from academic databases, then makes statistical analysis on significant characteristics to evaluate the regularity of document increase, distribution of subject categories, most prolific and impactful institutions, and then discusses the relations between research front and intellectual base via citation and co-citation analysis, finally concludes research features and patterns of big data. [Result/Conclusion] (1) Different subject categories show the different level of research interest while big data research has been one of the most popular topics in social science. The most documents are from information science and library science. (2) Besides journals of high output subject categories, computer science, telecommunications and multidisciplinary journals are common intellectual bases of big data research in social science. (3) Renmin University of China in domestic and Harvard University in the world are top institutions according to the number of fruits and influence of their publications of big data research in social science. (4) For China, publication quantity in social science makes apparent growth while international academic influence is still limited.     

德语空间性状形容词的时间映射特质研究

基于认知隐喻理论，选择德语中14个表征空间性状的形容词，探究其时间映射特质。研究发现:长/短、大/小、远/近、高、深可表征时间，其余则无法表征时间。具体特质如下:存在“一维＞二维＞三维”映射维度等级；存在“长短＞远近＞高深/大小”映射宽幅等级；正向形容词比负向更易表征时间。这种映射特质主要与时空相似性、认知思维及隐喻操作有关。     

Using concept mapping as a planning tool: Child welfare citizen review panels

Citizen Review Panels (CRPs) are groups of citizen volunteers authorized by U.S. federal law to examine state child welfare agencies. These groups inspect policies and practices related to child protection responsibilities and are tasked with making recommendations for systemic improvement. Despite the federal mandate for each state to develop a CRP and the potential of these groups to positively impact child welfare practices, there is a dearth in the literature related to CRPs. Consequently, planning and evaluation processes of these groups vary widely. This study reports on the use of concept mapping (CM) to outline a framework for planning and subsequently evaluating the CRP in one southeastern state. CM is a mixed-method research approach that uses multi-dimensional scaling and hierarchical cluster analyses to explore an area of study. Through these analyses, the method creates visual depictions of conceptual relationships between ideas. Data yielded a seven cluster concept map that CRP members (N = 36) utilized for planning processes, and subsequently for developing an internal evaluation tool. Results from this study offer a unifying framework by which CRPs, and similar groups in other areas can utilize for planning and evaluation purposes. After a review of pertinent literature on CRPs, this article explicates CM processes utilized in this study, describes results, discusses lessons learned, and outlines apposite areas for future CRP research.     

日语“空间性状”的时间映射制约研究

日语空间性状的时间映射具有局部映射性和选择性，映射具有负向语义选择偏好；形成“水平线性空间>垂直线性空间>立体三维空间”维度制约等级。上述制约特质是时空隐喻概念相似性与语言类型特质共同驱动促成的。概念相似性是其内在驱动力，相似者易于映射，反之则受制约性强；日语的时间性特质是其负向语义选择偏好的外在驱动力。     

城市品牌研究的知识图谱分析

运用知识图谱这种可视化的文献分析工具,对城市品牌研究文献进行分析。研究表明:(1)2007~2011年,城市品牌研究文献数量迅速增加,城市品牌研究开始成为热点。(2)从关键词共现分析看,城市品牌研究主要建立在讨论城市品牌建构路径和城市品牌建设具体方法上。(3)从文献共被引关系看,城市品牌研究可以分为品牌本身的讨论、宜居城市的生活环境以及市民的身体健康与城市品牌的关系、城市品牌与城市营销之间的关系三个阶段。进而指出,城市品牌研究的重点方向应该是对城市品牌的影响因素及形成过程、城市品牌评价系统的研究。     

Disequilibrium multi-dividing ontology learning algorithm

As an effective tool for data storage, processing, and computing, ontology has been used in many fields of computer science and information technology. By means of its powerful performance on semantic query and knowledge extraction, domain ontology has been built on various disciplines such as biology, pharmaceutics, geography, chemistry, etc. and been smoothly employed for their engineering applications. In these ontology applications, we aim to get an optimal ontology function which maps each ontology to a real number and then determine the similarity between concepts by the distance of their corresponding real numbers. In former ontology learning approaches, all the instances in the training sample have equal status in the learning process. In this article, we present the disequilibrium multi-dividing ontology algorithm in which the important ontology data will be highlighted during the learning, and the relevant ontology data tend to be eliminated. Four experiments are designed to test the serviceability of our disequilibrium multi-dividing algorithm from angles of ontology similarity measuring and ontology mapping construction.     

Engaging children and youth in research and evaluation using group concept mapping

Group concept mapping is a systematic methodology that recognizes participants’ expertise in their own experiences. In this approach, participants share their diverse knowledge and interpret the data generated by all group members. This approach uniquely blends quantitative and qualitative techniques to create illustrative, structured conceptualizations. In this article, we describe the steps in group concept mapping and report feedback on this method from 37 children and youth who participated in group concept mapping studies. We recommend group concept mapping as an engaging way to involve children and youth in research and evaluation activities.     

突发事件网络舆情研究进展与趋势分析

近年来，互联网的发展和突发事件的频发导致突发事件网络舆情成为学者们关注的热点之一，但相关研究缺乏对突发事件网络舆情研究文献的量化和可视化分析。文章选取2009-2018年CNKI中的223篇以突发事件网络舆情为主题的CSSCI来源期刊和北大核心期刊文献为样本，利用Citespace对文献作者、研究机构、关键词等绘制知识图谱，对研究热点、研究演化路径和未来研究趋势进行分析。研究表明：基于突发事件网络舆情主体、表现形式、预警和应对策略的研究是当前的研究热点，未来研究将会朝着高校突发事件网络舆情、突发事件非理性网络舆论、突发事件网络舆情演化、突发事件网络舆情治理研究等方面展开。     

Toward Probabilistic Prediction of Flash Flood Human Impacts

This article focuses on conceptual and methodological developments allowing the integration of physical and social dynamics leading to model forecasts of circumstance‐specific human losses during a flash flood. To reach this objective, a random forest classifier is applied to assess the likelihood of fatality occurrence for a given circumstance as a function of representative indicators. Here, vehicle‐related circumstance is chosen as the literature indicates that most fatalities from flash flooding fall in this category. A database of flash flood events, with and without human losses from 2001 to 2011 in the United States, is supplemented with other variables describing the storm event, the spatial distribution of the sensitive characteristics of the exposed population, and built environment at the county level. The catastrophic flash floods of May 2015 in the states of Texas and Oklahoma are used as a case study to map the dynamics of the estimated probabilistic human risk on a daily scale. The results indicate the importance of time‐ and space‐dependent human vulnerability and risk assessment for short‐fuse flood events. The need for more systematic human impact data collection is also highlighted to advance impact‐based predictive models for flash flood casualties using machine‐learning approaches in the future.