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

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.

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。

Research topics in the international research collaboration measurement domain

Here we report on a study that combined a scoping review with co-occurrence analysis to assess the current state of publications and research topics in the area of international research collaboration measurement(IRCM).Our study found that IRCM studies have been published in source titles of diverse subject areas and that there are two core research topics that have been commonly discussed across different subject areas in the IRCM domain-scientific productivity measurement and scientific impact measurement.The appearance of papers about IRCM in venues beyond those concerned only with bibliometric measures indicates the broad importance of IRCM for diverse research subjects,and that studies of IRC within particular fields should draw on diverse venues to provide a holistic and interdisciplinary picture of IRCM.

Construction of portrait model of core professional researchers in the technical field and analysis of their research topics

In order to support scientific evaluation and decision-making,this paper characterizes and identifies core researchers and their research topics by modeling the portrait of core researchers in technical fields.In this paper,we constructed a portrait model of core researchers,explained the information attributes and their label data in each dimension of the portrait.Selected six identification indicators that can be measured,used the CRITIC method and gray correlation method to determine the weight coefficient and comprehensive score of the index,and designed quantitative identification methods for core researchers using Price's calculation formula and golden section coefficient.Took the field of artificial intelligence as an example for empirical analysis and result verification,selected representative core researchers to track the changes of research topics at the two levels of their teams and individuals,and characterize them based on the portrait model.

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,

Topics of Contraceptive Research Winning Awards

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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。

基于Topic Model的我国档案学主题结构与演化研究

文本内容分析能够有效揭示学科研究的主题结构与知识的发展过程。本文运用主题模型与时间序列分析等方法,以档案学领域的两种CSSCI源刊近10年刊载的论文为分析对象进行文本内容挖掘。分析结果表明,上述方法的结合能够有效识别学科领域研究的主题,并揭示学科主题的发展过程;中国档案学领域近10年的研究主要集中在学科范式研究、电子文件管理、档案信息服务等12个研究主题;通过对不同主题的时间分布分析,揭示了这些主题的演化过程,进一步归纳总结了相关方法使用的主要注意事项并给出了对应建议。

The Research Status of Chinese and Foreign Ecoliterature Study of the Recent 20 Years

Based on the core and CSSCI source documents from CNKI and American Web of Science＇s literature on ecoliterature as data source, this paper carries on CiteSpace visualization mapping analysis of Chinese and foreign ecoliterature study of the recent 20 years. By analyzing the lead author, research institute, high frequency keywords, highly cited literature etc., this paper discovers the core topics, research hotspots and frontiers in recent years and the new forms of ecoliterature, the change of international frontier, the new opportunities of ecoliterature research are found. The paper presents a direct view of the study on ecoliterature both in China and abroad. In the end, this paper offers guiding and expectation to Chinese scholars with regard to future research.

Global Trends in Dam Removal and Related Research: A Systematic Review Based on Associated Datasets and Bibliometric Analysis

Dam removal has been increasingly reported globally and is becoming an important approach for river management, restoration and environmental conservation in damming rivers. However, current limited knowledge of global trends in dam removal and related research may be potentially biased in terms of the geographic distribution and organisms studied. Such bias could mislead dam removal planning and management in different areas and ecological conservation for different taxa. In this study, we quantitatively and qualitatively analyzed datasets of dam removal and publications of dam removal research using bibliometric methods. A total of 1449 dam removal documents were published from 1953 to 2016. Trends, current hotspots and future directions of dam removal research were identified. The results from this study reveal that dam removal largely occurred in the North America and Europe, and most of the removed dams were small and old dams. With respect to the topic analysis, more dam removal studies should focus on the responses of a wide range of organisms, not only fish, as well as the interspecies relationships, food webs and ecosystem structures and functions. Based on our findings, we also provide some suggestions for future dam removal planning and analysis.

国际基于自我决定理论的儿童青少年体育活动研究现状与展望

为考察国际基于自我决定理论的儿童青少年体育活动研究的发展脉络和最新进展,运用科学计量学中的关键词共现、关键词聚类和可视化技术等方法对2000—2022年Web of Science核心合集数据库相关研究文献进行分析。结果发现:中国在亚洲国家中产出领先;历年研究呈现从宏观到微观、从单一到多重、从横断到纵横结合、从解决到预防、从验证到应用、从开拓到回顾的发展趋势,最新研究体现出重视结构化问卷、研究设计联系实际情境和纳入各种心理学变量的特点;已有研究存在针对特殊群体、干预的作用路径、系统化干预项目设计方法等方面的局限。对我国相关研究的启示:对热度仍持续的主题继续优化研究设计;对基本达到饱和的主题结合实际推进本土研究;利用多重变量关系路径、多元干预模型、跨情境研究、横向与纵向相结合等开展实证研究;编制、修订中国版的相关问卷。

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。

基于文本计算的我国数据安全政策与科研主题协同研究

[目的/意义]随着我国数据要素市场从无序自发的探索阶段进入有序规范的正式探索阶段,在此过程中,数据安全问题尤为突出,并已上升至国家战略层面,而探究我国数据安全政策与科研的协同情况,能够为推动我国数据安全科学研究和完善我国数据安全政策提供重要的参考与借鉴。[方法/过程]本文以我国数据安全领域的547部政策和2466篇科研论文为样本,结合NMF主题模型和Word2vec模型,分别对政策文本和科研论文进行主题识别,并通过相似度计算方法探究我国数据安全政策和科研主题演进与协同的情况。[结果/结论]数据分析发现,我国数据安全政策与科研主题呈现出协同一致、协同演进的关系,并且在数据要素和跨境数据流动主题中出现了明显的科研推动政策的协同趋势。

信息资源管理一级学科更名背景下研究主题历史演化及未来发展趋势研究

[目的/意义]为服务国家重大战略需求,抓住学科更名的历史机遇,把握一级学科的整体发展脉络成为构建中国自主的信息资源管理知识体系的重要环节。[方法/过程]以CNKI收录的学科核心期刊文献为数据源,首先采用K-Means聚类算法以及融合TF-IDF算法和LDA主题模型的分类方法计算最佳主题数量并识别研究主题内容;然后从更名前后的主题强度、主题新颖度、研究主题发展变化情况3个方面深入分析;最后,本研究提出主题词交叉联立的分析方法预测研究主题未来发展方向。[结果/结论]信息资源管理一级学科的更名会刺激新主题的产生与发展,新主题在研究内容、研究范围等方面的拓展反过来丰富了本学科的内涵和外延,对于学科未来的守正创新发展具有一定参考价值。

出版学科高被引论文特征分析:研究方法、研究主题与知识扩散

对出版学科9种中文社会科学引文索引(CSSCI)来源期刊2013—2023年刊载的441篇高被引论文的研究方法、研究主题和知识扩散特征进行分析,研究发现:高被引论文较常用的研究方法包括理性思辨法、案例分析法、调查法、内容分析法等,同时,深度统计分析法、计量分析法等方法也被用于研究出版领域的问题,出版学科研究方法呈现多样化的趋势,开放采纳各种研究方法;出版学科研究主题特色鲜明,回应时代和行业关注,研究方法对学科研究主题有一定影响;高被引论文知识扩散范围较广,知识扩散强度在不同学科间存在差异,多元化研究方法有利于提升出版学科对其他学科的影响,加强学科间的知识交流。

基于CiteSpace的我国双碳研究热点及趋势分析

以中国知网数据库中2012—2024年期间双碳研究领域公开发表的学术论文为研究样本,采用CiteSpace软件从研究机构、高频关键词、关键词聚类、关键词突显等方面开展可视化分析研究。结果表明:我国关于双碳研究的文献发表量增长势头强劲,且热度还将持续,说明该领域具有重要科学研究价值;该领域研究已形成较明显的机构间合作趋势,碳排放、气候变化和碳减排成为现阶段研究热点;学者围绕清洁能源发展、能源供给安全、碳达峰预测、绿色GDP核算、碳排放因子识别、碳配额等展开研究,为我国实现碳达峰、碳中和提供理论依据。未来应重点关注新型能源和低碳产业的技术原理探索,碳捕集、利用和封存技术的研发与应用,以及碳汇的形成与运行机制等方面研究。