Based on topic maps, a preprocessing scheme using similarity comparision is presented and applied in knowledge management. Topic and occurrence-ofiented merging algorithm is also introduced to implement knowledge inte...Based on topic maps, a preprocessing scheme using similarity comparision is presented and applied in knowledge management. Topic and occurrence-ofiented merging algorithm is also introduced to implement knowledge integration for the sub-system. AnOm- nigator-supported example from an aeroaustic institute is utilised to validate the preprocessing method and the result indicates it can speed up the research schedule.展开更多
This paper describes a project that has created a Topic Map search tool for a mathematics educational database containing articles from the journal For the Learning of Mathematics.The resulting website enables users t...This paper describes a project that has created a Topic Map search tool for a mathematics educational database containing articles from the journal For the Learning of Mathematics.The resulting website enables users to retrieve research articles based on a variety of topics such as mathematics classification,research methods,educational objectives,in addition to traditional bibliographic information.展开更多
受海平面上升影响,红树林面临退化甚至消失风险。通过Web of Science核心库收集1994至2023年间关于海平面上升背景下红树林研究的文献,并利用R语言中的“bibliometrix”包进行科学计量和知识图谱构建,旨在系统回顾该领域的发展趋势、主...受海平面上升影响,红树林面临退化甚至消失风险。通过Web of Science核心库收集1994至2023年间关于海平面上升背景下红树林研究的文献,并利用R语言中的“bibliometrix”包进行科学计量和知识图谱构建,旨在系统回顾该领域的发展趋势、主题演化和研究力量。研究发现,该领域文献年均增长率为10.2%,发展迅速且重要性日益凸显,学科交叉特征显著。相关文献主要集中在环境科学、地理学和生物学主题的期刊中,Estuarine Coastal and Shelf Science的发文量领先,而Global Change Biology具有较高的影响力。该领域研究重点包括红树林对海平面上升的响应、气候适应以及面积变化和预测,同时强调全球变化下的红树林生态系统服务价值。高频关键词包括“气候变化”、“蓝碳”、“遥感”、“盐度”和“海榄雌属”等,该领域围绕古生态学和全球变化生态学两大方向,遵循“重塑历史气候—植物响应适应—预测管理保护”的脉络逐步深入。美国和澳大利亚处于该领域的国际领先地位,特别是美国地质调查局、佛罗里达州立大学和昆士兰大学的研究成果显著,领军人物包括Rogers Kerrylee、Lovelock Catherine E、Krauss Ken W和Saintilan Neil。该领域研究发展现状与国家的地理位置和国情密切相关,相较于红树林污染物、化学代谢产物和蓝碳等领域,中国在该领域的研究亟需加强。未来研究应重点关注以下几个方面:红树林基本生态学过程、地表高程变化与海平面上升速率间关系、“红树林—盐沼交错带”动态变化、遥感监测和机器学习模型预测以及基于自然的解决方案。展开更多
为系统梳理中国“世界遗产”领域的研究脉络,本研究通过对该主题文献的科学计量与可视化分析,揭示其学术生态、热点演进与前沿趋势,以期弥补当前“世界遗产”主题研究在系统梳理与归纳方面的不足。以中国知网(China National Knowledge ...为系统梳理中国“世界遗产”领域的研究脉络,本研究通过对该主题文献的科学计量与可视化分析,揭示其学术生态、热点演进与前沿趋势,以期弥补当前“世界遗产”主题研究在系统梳理与归纳方面的不足。以中国知网(China National Knowledge Infrastructure,CNKI)数据库1993—2024年收录的1524篇“世界遗产”主题文献为研究对象,运用文献计量软件CiteSpace进行关键词共现、聚类与突现分析,生成知识图谱并进行解读。研究发现,中国“世界遗产”研究主要围绕自然遗产开发与管理、申报策略、遗产体系与评价标准、保护与可持续发展、文化景观的类型与价值等五大主题展开,呈现出以政策应用与实践导向为主的特征。现有研究在主题上存在“重当代、轻历史”“重对策、轻理论”的倾向,研究方法较为单一。未来,应在深化历史与理论研究、拓展跨学科整合、强化学科与教育体系建设、推动数字技术融合等方面进行突破,以构建更具系统性、批判性与前瞻性的学术格局。展开更多
在环境不确定性加剧与数字化转型深化的背景下,组织数字韧性作为企业抵御风险、实现可持续发展的核心能力,已成为管理学领域的前沿议题。本文基于Web of Science核心合集数据库2012—2024年间收录的314篇管理学文献,采用CiteSpace软件...在环境不确定性加剧与数字化转型深化的背景下,组织数字韧性作为企业抵御风险、实现可持续发展的核心能力,已成为管理学领域的前沿议题。本文基于Web of Science核心合集数据库2012—2024年间收录的314篇管理学文献,采用CiteSpace软件进行知识图谱分析,综合运用关键词共现、共词聚类、战略坐标图以及文献共引聚类与突现检测等方法,系统揭示了管理学视域下数字韧性研究的热点主题与演进趋势。研究发现:组织数字韧性研究的热点涵盖概念界定与测量方法、多层次影响因素及其双元效应等主题,并呈现出从“危机应对”向“韧性预建”的范式转变;同时,组织数字韧性研究形成了以“组织数字韧性”和“供应链数字韧性”为核心的知识结构特征,研究脉络呈现出从组织内部的静态能力建设,逐步扩展至供应链层面的动态适应与协同,并延伸至生态系统层面共生演化的演进趋势。未来需从以下方面取得突破:一是整合碎片化的理论内涵,构建技术—组织—环境协同的评估体系;二是深化影响因素研究,从个体、组织与环境等多维度考察其作用机制;三是拓展应用场景,量化数字韧性在新兴场景中的差异化效应;四是强化跨学科交叉,构建系统性框架以弥合理论创新与实践应用之间的落差。展开更多
Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends a...Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.展开更多
文摘Based on topic maps, a preprocessing scheme using similarity comparision is presented and applied in knowledge management. Topic and occurrence-ofiented merging algorithm is also introduced to implement knowledge integration for the sub-system. AnOm- nigator-supported example from an aeroaustic institute is utilised to validate the preprocessing method and the result indicates it can speed up the research schedule.
文摘This paper describes a project that has created a Topic Map search tool for a mathematics educational database containing articles from the journal For the Learning of Mathematics.The resulting website enables users to retrieve research articles based on a variety of topics such as mathematics classification,research methods,educational objectives,in addition to traditional bibliographic information.
文摘受海平面上升影响,红树林面临退化甚至消失风险。通过Web of Science核心库收集1994至2023年间关于海平面上升背景下红树林研究的文献,并利用R语言中的“bibliometrix”包进行科学计量和知识图谱构建,旨在系统回顾该领域的发展趋势、主题演化和研究力量。研究发现,该领域文献年均增长率为10.2%,发展迅速且重要性日益凸显,学科交叉特征显著。相关文献主要集中在环境科学、地理学和生物学主题的期刊中,Estuarine Coastal and Shelf Science的发文量领先,而Global Change Biology具有较高的影响力。该领域研究重点包括红树林对海平面上升的响应、气候适应以及面积变化和预测,同时强调全球变化下的红树林生态系统服务价值。高频关键词包括“气候变化”、“蓝碳”、“遥感”、“盐度”和“海榄雌属”等,该领域围绕古生态学和全球变化生态学两大方向,遵循“重塑历史气候—植物响应适应—预测管理保护”的脉络逐步深入。美国和澳大利亚处于该领域的国际领先地位,特别是美国地质调查局、佛罗里达州立大学和昆士兰大学的研究成果显著,领军人物包括Rogers Kerrylee、Lovelock Catherine E、Krauss Ken W和Saintilan Neil。该领域研究发展现状与国家的地理位置和国情密切相关,相较于红树林污染物、化学代谢产物和蓝碳等领域,中国在该领域的研究亟需加强。未来研究应重点关注以下几个方面:红树林基本生态学过程、地表高程变化与海平面上升速率间关系、“红树林—盐沼交错带”动态变化、遥感监测和机器学习模型预测以及基于自然的解决方案。
文摘为系统梳理中国“世界遗产”领域的研究脉络,本研究通过对该主题文献的科学计量与可视化分析,揭示其学术生态、热点演进与前沿趋势,以期弥补当前“世界遗产”主题研究在系统梳理与归纳方面的不足。以中国知网(China National Knowledge Infrastructure,CNKI)数据库1993—2024年收录的1524篇“世界遗产”主题文献为研究对象,运用文献计量软件CiteSpace进行关键词共现、聚类与突现分析,生成知识图谱并进行解读。研究发现,中国“世界遗产”研究主要围绕自然遗产开发与管理、申报策略、遗产体系与评价标准、保护与可持续发展、文化景观的类型与价值等五大主题展开,呈现出以政策应用与实践导向为主的特征。现有研究在主题上存在“重当代、轻历史”“重对策、轻理论”的倾向,研究方法较为单一。未来,应在深化历史与理论研究、拓展跨学科整合、强化学科与教育体系建设、推动数字技术融合等方面进行突破,以构建更具系统性、批判性与前瞻性的学术格局。
文摘在环境不确定性加剧与数字化转型深化的背景下,组织数字韧性作为企业抵御风险、实现可持续发展的核心能力,已成为管理学领域的前沿议题。本文基于Web of Science核心合集数据库2012—2024年间收录的314篇管理学文献,采用CiteSpace软件进行知识图谱分析,综合运用关键词共现、共词聚类、战略坐标图以及文献共引聚类与突现检测等方法,系统揭示了管理学视域下数字韧性研究的热点主题与演进趋势。研究发现:组织数字韧性研究的热点涵盖概念界定与测量方法、多层次影响因素及其双元效应等主题,并呈现出从“危机应对”向“韧性预建”的范式转变;同时,组织数字韧性研究形成了以“组织数字韧性”和“供应链数字韧性”为核心的知识结构特征,研究脉络呈现出从组织内部的静态能力建设,逐步扩展至供应链层面的动态适应与协同,并延伸至生态系统层面共生演化的演进趋势。未来需从以下方面取得突破:一是整合碎片化的理论内涵,构建技术—组织—环境协同的评估体系;二是深化影响因素研究,从个体、组织与环境等多维度考察其作用机制;三是拓展应用场景,量化数字韧性在新兴场景中的差异化效应;四是强化跨学科交叉,构建系统性框架以弥合理论创新与实践应用之间的落差。
基金supported by the National Natural Science Foundation of China,No.81471308(to JL)the Stem Cell Clinical Research Project in China,No.CMR-20161129-1003(to JL)the Innovation Technology Funding of Dalian in China,No.2018J11CY025(to JL)
文摘Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.
