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.

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。

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.

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。

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.

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.

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。

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CNKI数据库的西藏考古研究现状及热点主题的可视化分析

以中国知网收录的西藏考古相关文献数据为研究对象,运用文献计量学结合定量分析工具,对西藏考古研究状况进行了全面分析。研究结果表明:藏学、民族学、文物考古和民族高校学报等领域期刊是西藏考古研究成果发表的主要阵地;四川大学的霍巍教授是该领域的领军人物;近三十年西藏考古领域的研究主要聚焦于青藏高原史前文明、佛教考古、吐蕃墓葬、考古出土材料文化属性以及高原丝绸之路等五个方面。同时“唐朝”“丝绸之路”和“文化交融交流”具有潜力成为未来的研究热点。

安全工程类专业本科毕业论文研究主题及课程设置分析

为完善安全工程类专业本科课程设置建设,从38所高校搜集整理2021年68篇安全工程本科优秀毕业论文(设计),利用CiteSpace软件对论文关键词进行聚类分析,明确本科毕业论文(设计)的研究主题。随后,调研38所高校安全工程的行业背景,并统计分析国内代表性高校与国外高校安全类专业培养方案课程的差异。结果表明:68篇毕业论文中出现频次较高的关键词有数值模拟、灾害预警、安全管理体系和韧性4个方面;结合行业院校行业背景,发现68篇毕业论文(设计)中,公共安全方向的论文数量占比为45.6%,矿山安全的论文数量占比为8.82%,但38所高校中近40%的高校都是以矿山安全作为重点服务领域,表明各高校安全工程毕业论文研究方向不再集中于各自的行业安全,正向大安全方向转变;但各大高校开设的特色专业课仍集中在行业安全本身,同时基础课内容存在一定重复,缺少相关模拟课程,以上原因造成目前开设的课程很难完全支撑学生开展毕业论文(设计)。另外,与国外开设安全相关专业的高校对比,我国安全工程专业课程门数相对较多,实践课程偏少。建议我国安全工程专业增加数值模拟课程和延长实践课程,提升学生解决问题的能力。

比较教育问题研究的基本流程与技术路线

学术场域中的问题基于而又抽离于普通生活,它必须被纳入特定的概念框架,继而形成能被探讨的、论证的问题。从所选择的议题看,比较教育研究中的问题研究可分为专题类、区域类、综合类三种类型。比较教育问题研究有其自身的学科规范,在研究起点上要避免泛化真实问题,在研究情境上要理解异文化教育特性,将数据式循证研究作为强力支撑,以此达到批判建构学科知识与理论的终极目标。比较教育问题研究必须遵循主线,从识别问题到分解问题,再到基于问题属性确定研究方法,最后分析问题、提出假设和挖掘背后的深层原因,以此形成比较教育问题研究的基本流程与技术路线。

基于文献计量学分析体外循环目标导向灌注研究热点

目的量化关于心脏手术体外循环目标导向灌注(GDP)相关学术论文的基本信息,探索关于GDP研究领域的研究热点、趋势及最具有影响力的论文,为研究人员及临床工作者提供参考。方法利用科学网(Web of Science)检索GDP相关文献,使用R语言数据包Bibliometrix对文献的发表年代、期刊来源及期刊所属国家、高频关键词的分布情况进行统计分析,并进行聚类分析,得到该GDP研究领域关注热点。结果筛选出GDP相关文献116篇,获得该领域研究热度趋势、来源期刊分布、各国研究热度等数据资料。高频关键词共计15个,通过对高频关键词进行聚类分析,得到3个主要研究热点方向。关于GDP研究领域的热点有氧供指数、氧耗监测、组织灌注监测等。结论GDP研究热点主要为GDP研究内容和技术、对象、临床结局。基于文献计量学的研究方法,本研究提供较为全面的关于GDP研究领域发展的分析总结,未来该领域的氧供与氧耗监测与调控仍可能是热门研究方向。

新课标背景下学校教研的改进研究

新课标核心理念的落实落细离不开学校教研的支持。新课标为学校教研的改进指明了方向、确定了核心主题、明确了形式。在新课标背景下,学校教研改进的重点在于由浅入深地引导教师理解新课标核心理念、由广而精地聚焦教研主题、由形到实地有效开展教研合作。具体来说,学校要制定科学合理的教研规划,教研组要基于教研主题以“模式构建型”任务推进教研,教师个体要努力在参与教研中实现自我改进与提升。

中国市场营销学研究回顾与理论发展(2005—2020)——基于期刊论文的定量分析和国际对比

近年来我国提出建设全国统一大市场以及构建国内国际双循环的新发展格局。在此背景下,中国市场营销学研究的重要性得到进一步凸显。因此,梳理和回顾中国市场营销学学界的学术成果和知识图谱,对于推动市场营销学学科的建设与发展,更好地用学科知识助力中国本土营销实践具有重要意义。本文通过对2005—2020年国内权威管理学期刊中有关市场营销学的文章进行文献综述和定量分析,着力刻画中国市场营销研究的研究领域、研究主题、研究方法和数据源等多维度的演化趋势,并且通过与国际市场营销学研究发展的对比分析,说明了中国市场营销学研究的独特之处。