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.

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.

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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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。

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。

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。

关于暖通硕博研究生培养的思考

围绕新时期的人才培养目标,以及国家和社会发展的重大需求,哈尔滨工业大学改革了研究生培养模式。本文介绍了哈尔滨工业大学研究生硕博贯通培养新模式,以及对博士生培养过程中创新性成果的多元化新要求。探讨了硕士生和博士生的国际化培养模式和硕博学位论文选题,分享了科研方法、科技论文写作和组会研讨等学习指导方面的心得体会。国际化培养模式可以拓宽研究生的国际视野。建议博士课题选题以教师主要研究方向为主。学习指导应注重传授正确的科研方法,加强论文写作指导。通过多种形式的组会,提高学生的综合素质,培养科研创新能力。

国家自然科学基金在集成电路领域近十年资助状况与趋势分析

集成电路技术作为信息科技的核心,不仅是经济发展的基石,更关乎国家安全和战略竞争地位.国家自然科学基金委支持我国集成电路领域基础研究,逐渐形成了多层次科学基金资助体系.本文分析了近十年(2014—2023)“集成电路设计”(F0402)与“集成电路器件、制造与封装”(F0406)代码下各类型项目的研究方向、资助项目数量、经费等情况,旨在通过对历年资助项目研究方向的分析,了解我国集成电路研究的热点及研究特点,探讨集成电路研究领域未来研究发展趋势,为科研院所、高校及企事业单位了解该领域的研究热点、未来发展方向及路径提供借鉴.

编委对期刊研究主题的影响研究——以信息科学领域为例

[目的/意义]学术期刊是学术交流的重要载体之一,期刊编委团队承担着把握期刊方向的重要职责,并对期刊发文内容和发文质量进行把关。期刊编委的研究主题能够体现编委对本领域学术动态的觉察和感知,本文旨在探究编委的研究主题对期刊收录文章主题的影响情况。[方法/过程]以信息科学领域一流期刊为研究对象,构建编委数据集和非编委数据集,通过数据集信息挖掘期刊收录文章主题,利用Word2Vec模型和Kmeans聚类方法探究期刊内的主题分布特征,探究编委的主题影响情况。[结果/结论]研究发现编委对冷门主题的影响高于热门主题,编委能够通过在新兴主题集中性发文引导期刊的研究主题发生变化,引导学者对有价值的主题进行研究。

我国高校在线教学发展与未来趋势研究——基于CiteSpace的可视化分析

在线教学是学习者在网络环境下进行学习或体验的一种课程教学方式,也是后疫情时代教育数字化发展的必然趋向。既通过可视化软件CiteSpace6.1R2对中国知网(CNKI)2001—2021年有关在线教学的CSSCI期刊论文从年度发文量、研究作者与机构、研究主题聚类等维度进行文献计量和内容分析。可以看出,我国在线教学研究经历了起步阶段和快速发展阶段后,现已进入稳定发展阶段,具有相对稳定的研究作者群,研究机构以国内几个主要师范大学教育学院类为主体。研究主题分布于在线课程建设、在线教学评价以及在线课程质量管理等方面,并涌现出人工智能以及深度学习与自适应学习交互融合的在线教学新趋势。

基于语义相似关系的学科交叉主题识别方法

识别不同学科间共有的研究内容是学科交叉知识发现的一种研究思路。学科间具有相似语义的研究内容,能够更好地体现学科之间知识的融合、交流现象。针对从科技文献数据中获取语义相似学科交叉研究主题的问题,本文提出了一种基于无监督对比学习的科技文献及关键词语义相似关系表示学习方法,构建了一种语义相似学科交叉主题识别模型。该模型将Spearman相关系数作为评价学科交叉主题的指标,解决了现有研究缺少学科交叉研究数据集的问题。研究结果表明,本文模型较好地获取了科技文献及其关键词之间的语义相似关系,能够较好地反映两个学科之间的交叉态势。

基于知识图谱的中国设计学研究主题可视化分析

目的将博士学位论文的研究主题作为分析学科研究热点的重要指标,通过文献可视化软件追踪中国近20年的设计学博士论文,旨在为学界厘清我国设计学科的研究热点、研究动态与发展趋势提供参考。方法采用文献可视化软件CiteSpace,从主题领域分析中国知网2003—2022年收录的588篇设计学博士学位论文,回顾近20年我国设计学研究的热点主题与演进历程。结果融合创新发展、文化资源重塑、本土文化觉醒、传统造物回溯、非遗活态传承、信息交互体验是我国设计学研究的热点主题。结论中国近20年的设计学研究从溯源传统文化、融合创新到交叉研究,历经了探索本土文化研究范式的探索期、塑造中国式设计学学科体系的转折期、促进学科高质发展的发展期。基于突现词图谱,发现持续关注中国传统文化、弘扬民族自信,加强本土化研究、构建中国设计学科语言,以人为本、重视体验,是我国设计学研究的重要趋势。