Data-and management-driven metaverse research

The metaverse has become a very important phenomenon in society because of the emergence of new technologies. The widespread adoption of the metaverse has generated significant discussions about the challenges and opportunities it presents. We invited three panelists to present their personal viewpoints on the metaverse in the 2022 AIS-SIG-ISAP Workshop on Information Systems in Asia-Pacific (ISAP). The discussion indicated that metaverse research is being conducted. Furthermore, it highlighted new research directions and offered research topics related to the advantages or disadvantages of the metaverse. The proposed research topics will offer new insights to academics and practitioners.

Special Topic on Major Research Program: Catalysis Science for Carbon-based Energy Conversion

The major research program,"Catalysis science for carbon-based energy conversion",from the national science foundation of China(NSFC)answers to the main strategic needs of China for the efficien use of carbon-based energy and targets to address the key scientifi issues involved in the catalytic interfaces.The research program aims to improve the catalytic activation of C–H and C–O bonds and the C–C coupling process,

基于BERTopic模型的国外信息资源管理研究进展分析

[目的/意义]文章从已有研究成果中提取主题,梳理主要研究方向,展示主题热度变化趋势,为了解和评估国外信息资源管理(IRM)研究发展现状与趋势提供参考。[方法/过程]采用新兴BERTopic模型对2013—2022年期间WoS数据库中IRM相关文献进行主题提取与识别,结合相关主题词及主题距离划分研究方向,并利用动态主题模型揭示国外IRM领域的演变过程。[结果/结论]国外IRM近10年的研究可分为59个主题,可归纳为信息技术及应用、企业信息管理、图书馆管理与服务、健康信息管理、信息用户与服务、IRM基本理论与方法、文献计量与评价7个方向。大多数主题的研究热度变化偏向稳定的趋势,数字化建设、开放数据等部分主题热度逐渐上涨,而外包、知识管理等少数主题热度退却。

基于引文-主题双重测度的交叉前沿识别研究

[目的/意义]交叉学科正在成为我国科技创新的重要驱动力,并不断催生新的科学前沿。如何识别并测度交叉前沿主题,对于理解学科知识流转、把握新的交叉前沿方向至关重要。[方法/过程]本文从引文分析和主题分析相结合的角度,提出基于引文—主题双重测度的交叉前沿识别方法。首先,综合运用自然语言处理、文本主题识别、引文关系矩阵等方法获取交叉主题;其次,通过构建基于引文—主题的交叉测度指标进一步遴选交叉主题;最后,提出主题影响力、新颖度、吸引度及热度的多维测度指标,获取交叉前沿。[结果/结论]通过信息科技与宇航交叉领域进行实证研究,结果表明该方法能够有效识别出该领域的热点交叉前沿、新兴交叉前沿、潜在交叉前沿以及衰弱交叉前沿。

基于BERT-LDA的国外LIS领域学科交叉研究演化分析与前沿主题识别

识别学科交叉研究的前沿主题,并对演化趋势进行分析,有助于揭示学科交叉融合的方向,为未来创新性、突破性研究提供参考。首先,基于引文视角构建测度论文学科交叉性的指标,识别具有学科交叉性的研究论文;其次,通过BERT-LDA模型识别研究主题,利用余弦相似度计算主题之间的相似度,构建主题演化路径;最后,基于新颖度、增长性、关注度、影响力构建前沿主题识别指标体系,识别具有前沿性的学科交叉研究主题。以图书情报学(Library and Information Science,LIS)为例展开研究,研究结果显示,2004—2023年该学科领域的交叉研究主题呈现出逐渐细化和深入的特点,主要集中在信息挖掘与知识发现、互联网信息行为、医疗信息学3个方面;现阶段学科交叉研究前沿主题为医疗数据模型、舆情治理与情感分析、机器学习与深度学习;基于信息技术的研究方法和其在不同领域的应用研究具有良好的应用前景,有可能成为未来LIS领域的核心研究主题。

Identification and Prediction of Interdisciplinary Research Topics: A Study Based on the Concept Lattice Theory

Purpose: Formal concept analysis(FCA) and concept lattice theory(CLT) are introduced for constructing a network of IDR topics and for evaluating their effectiveness for knowledge structure exploration.Design/methodology/approach: We introduced the theory and applications of FCA and CLT, and then proposed a method for interdisciplinary knowledge discovery based on CLT. As an example of empirical analysis, interdisciplinary research(IDR) topics in Information & Library Science(LIS) and Medical Informatics, and in LIS and Geography-Physical, were utilized as empirical fields. Subsequently, we carried out a comparative analysis with two other IDR topic recognition methods.Findings: The CLT approach is suitable for IDR topic identification and predictions.Research limitations: IDR topic recognition based on the CLT is not sensitive to the interdisciplinarity of topic terms, since the data can only reflect whether there is a relationship between the discipline and the topic terms. Moreover, the CLT cannot clearly represent a large amounts of concepts.Practical implications: A deeper understanding of the IDR topics was obtained as the structural and hierarchical relationships between them were identified, which can help to get more precise identification and prediction to IDR topics.Originality/value: IDR topics identification based on CLT have performed well and this theory has several advantages for identifying and predicting IDR topics. First, in a concept lattice, there is a partial order relation between interconnected nodes, and consequently, a complete concept lattice can present hierarchical properties. Second, clustering analysis of IDR topics based on concept lattices can yield clusters that highlight the essential knowledge features and help display the semantic relationship between different IDR topics. Furthermore, the Hasse diagram automatically displays all the IDR topics associated with the different disciplines, thus forming clusters of specific concepts and visually retaining and presenting the associations of IDR topics through multiple inheritance relationships between the concepts.

Topic Detection Based on Weak Tie Analysis： A Case Study of LIS Research

Purpose: Based on the weak tie theory, this paper proposes a series of connection indicators Acof weak tie subnets and weak tie nodes to detect research topics, recognize their connections, and understand their evolution.Design/methodology/approach: First, keywords are extracted from article titles and preprocessed. Second, high-frequency keywords are selected to generate weak tie co-occurrence networks. By removing the internal lines of clustered sub-topic networks, we focus on the analysis of weak tie subnets’ composition and functions and the weak tie nodes’ roles.Findings: The research topics’ clusters and themes changed yearly; the subnets clustered with technique-related and methodology-related topics have been the core, important subnets for years; while close subnets are highly independent, research topics are generally concentrated and most topics are application-related; the roles and functions of nodes and weak ties are diversified.Research limitations: The parameter values are somewhat inconsistent; the weak tie subnets and nodes are classified based on empirical observations, and the conclusions are not verified or compared to other methods.Practical implications: The research is valuable for detecting important research topics as well as their roles, interrelations, and evolution trends. Originality/value: To contribute to the strength of weak tie theory, the research translates weak and strong ties concepts to co-occurrence strength, and analyzes weak ties’ functions. Also, the research proposes a quantitative method to classify and measure the topics’ clusters and nodes.

A Micro Perspective of Research Dynamics Through“Citations of Citations”Topic Analysis

Purpose:Research dynamics have long been a research interest.It is a macro perspective tool for discovering temporal research trends of a certain discipline or subject.A micro perspective of research dynamics,however,concerning a single researcher or a highly cited paper in terms of their citations and“citations of citations”(forward chaining)remains unexplored.Design/methodology/approach:In this paper,we use a cross-collection topic model to reveal the research dynamics of topic disappearance topic inheritance,and topic innovation in each generation of forward chaining.Findings:For highly cited work,scientific influence exists in indirect citations.Topic modeling can reveal how long this influence exists in forward chaining,as well as its influence.Research limitations:This paper measures scientific influence and indirect scientific influence only if the relevant words or phrases are borrowed or used in direct or indirect citations.Paraphrasing or semantically similar concept may be neglected in this research.Practical implications:This paper demonstrates that a scientific influence exists in indirect citations through its analysis of forward chaining.This can serve as an inspiration on how to adequately evaluate research influence.Originality:The main contributions of this paper are the following three aspects.First,besides research dynamics of topic inheritance and topic innovation,we model topic disappearance by using a cross-collection topic model.Second,we explore the length and character of the research impact through“citations of citations”content analysis.Finally,we analyze the research dynamics of artificial intelligence researcher Geoffrey Hinton’s publications and the topic dynamics of forward chaining.

The most important questions in cancer research and clinical oncology Question 2-5.Obesity-related cancers:more questions than answers

Obesity is recognized as the second highest risk factor for cancer. The pathogenic mechanisms underlying tobaccorelated cancers are well characterized and efective programs have led to a decline in smoking and related cancers, but there is a global epidemic of obesity without a clear understanding of how obesity causes cancer. Obesity is heterogeneous, and approximately 25% of obese individuals remain healthy(metabolically healthy obese, MHO), so which fat deposition(subcutaneous versus visceral, adipose versus ectopic) is "malignant"? What is the mechanism of carcinogenesis? Is it by metabolic dysregulation or chronic inflammation? Through which chemokines/genes/signaling pathways does adipose tissue influence carcinogenesis? Can selective inhibition of these pathways uncouple obesity from cancers? Do all obesity related cancers(ORCs) share a molecular signature? Are there common(overlapping) genetic loci that make individuals susceptible to obesity, metabolic syndrome, and cancers? Can we identify precursor lesions of ORCs and will early intervention of high risk individuals alter the natural history? It appears unlikely that the obesity epidemic will be controlled anytime soon; answers to these questions will help to reduce the adverse efect of obesity on human condition.

The Nanjing International Symposium of New Frontiers in Cancer Research(Nov 9-10,2007)

The Nanjing International Symposium of New Frontiers in Cancer Research will be held on Nov 9-10, 2007. The purpose of this symposium is to stimulate a dialogue among basic and clinical cancer researchers between China and other countries to speed up translation of new findings in basic cancer biology into disease prevention, diagnosis, and treatment. We hope to use this conference as a forum to create a unique opportunity for exchange in current discoveries, fostering multidisciplinary collaborations, and identification of future opportunities in cancer treatment and patient care. There will be four sessions in this symposium：

CONFERENCE At-A-Glance SOCIETY FOR ACUPUNCTURE RESEARCH“Translational Research in Acupuncture:Bridging Science,Practice and Community” Chapel Hill,NC,March 19-21,2010

THURSDAY,March 18 Pre-Conference Workshops"lntroduction to current issues in acupunclure research""ConsideratiOns for developing COllaboration research between AOM COlleges and conventionaI medicalinstitutions"

Topics of Contraceptive Research Winning Awards

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THE ISSUES & RESEARCH TOPICS ON COTTON PLANTING IN XINJIANG, CHINA

In this article , the present state of cotton production in Xinjiang is introduced. The strong points and problems in cotton production are discussed in detail. In addition, cotton research advances are reviewed in a comprehensive manner. In consideration of all this, the authors expound some monographic topics and disciplinary projects regarding Xinjiang cotton research which are to be implemented in the years to come.

Tips for clinicians in selecting a research topic and getting it published

How to select a research topic that is appropriate for a clinician and that can lead to a peer-reviewed publication?In this essay,I will provide 5 tips:keep it interesting,keep it relevant,keep it inclusive,keep it simple,and keep it trying.Keep it

基于BERTopic主题建模的延时现场救护研究趋势与热点分析

目的分析2009~2024年间国际延时现场救护领域的文献,探究主要研究主题及其发展趋势,以期为未来救护策略提供理论支持。方法系统检索PubMed、Embase、Web of Science和中国知网等数据库,筛选并纳入283篇相关文献。运用BERTopic主题建模技术对文献进行主题识别和关键词分析,并进行可视化展示。结果当前研究主要聚焦在“急救策略研究”“智能技术与信息管理”“实战应用”与“政策与理论研究”等4个方面,预测这些领域将持续成为研究热点。结论国际延时现场救护研究正处于快速发展阶段,建议未来研究深入重点领域,开发有效的救护策略,以提升救治效率和伤员生存率。

Evaluation of the Effect of Assessment Method Reform in “Nursing Research” Course

Objective:This paper aims to evaluate the implementation effect of the diversified course assessment method reform.Methods:A diversified assessment method was implemented for 196 undergraduate nursing students.Students’mastery of key knowledge in“Nursing Research”was assessed through group reports on topic selection and literature retrieval,as well as the proposition level of the final examination.Results:81.6%of the students agreed with the course assessment method,and 97.9%believed studying“Nursing Research”would be helpful for future scientific research applications.Conclusion:Diversified assessment methods can help improve undergraduate nursing students’scientific research skills and comprehensive quality.

国际隐喻语言学研究领域可视化分析(2008-2023)

该研究借助CiteSpace可视化分析软件,对2008—2023年Web of Science核心合集数据库中关于隐喻语言学的文献展开可视化图谱分析,归纳总结该领域的研究热点及未来研究前沿,以期为隐喻语言学研究领域学者提供研究思路,推动全球语言研究发展。研究结果表明:(1)隐喻语言学研究领域热度不断攀升,大部分学者独立撰写文章,少部分学者间形成了合作关系;(2)该领域主要研究方向聚焦于隐喻理解神经机制、概念隐喻、语法隐喻、时间隐喻、隐喻表征研究,以及关联理论对隐喻的解释作用研究,主要涉及认知语言学、语料库语言学和话语分析、批评隐喻分析;(3)批评隐喻分析、危机隐喻、语用学、性别隐喻,西班牙文化中的隐喻研究是其新兴研究前沿。

近20年我国运动心理学研究现状与趋势分析——以第5-9届全国运动心理学大会为例

以第5-9届全国运动心理学大会所收录研究论文为研究对象,对运动心理学的三个主要研究领域(竞技体育心理学、体育教育心理学、体育锻炼心理学)的研究数量、研究主题的分布和研究方法进行分析,总结概括出近20年我国运动心理学研究的现状,并在此基础上发现问题,提出今后运动心理学研究应该重点关注的方向,为提高运动心理学研究的水平,促进运动心理学学科发展提供借鉴。