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
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
【背景】蛹虫草(Cordyceps militaris)作为虫草科虫草属的模式种一直受到全球研究人员的关注。【目的】多维度探讨蛹虫草研究的当前状况与未来趋势。【方法】基于Web of Science核心合集数据库对2005-2024年间有关蛹虫草的SCI核心集论...【背景】蛹虫草(Cordyceps militaris)作为虫草科虫草属的模式种一直受到全球研究人员的关注。【目的】多维度探讨蛹虫草研究的当前状况与未来趋势。【方法】基于Web of Science核心合集数据库对2005-2024年间有关蛹虫草的SCI核心集论文进行了全面的数据搜集、整理、分析和可视化处理。【结果】过去20年里,蛹虫草研究已从单一的培养特性拓展至跨学科领域,尤其是其活性成分和药理学效应已成为学术界关注的焦点。文献计量分析结果显示,2005-2009年间,主要研究方向为蛹虫草的人工培养。2010-2014年间,研究主题扩展至子实体相关的药理学,研究地位显著提升。2015年后,研究主题进一步多元化,涵盖了优化、表达、氧化应激、真菌、抗氧化剂、化学成分、NF-κB、细胞周期停滞等领域,显示了从培养技术向深入的生物学和医学机制研究的转变。【结论】蛹虫草的研究经历了从传统培养研究向多学科交叉的深刻变革,未来研究将更加侧重于活性成分的功能机制、生物活性物质的药理作用及潜在的医学应用,为蛹虫草的深入研究和开发利用提供科学依据。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.
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.
文摘【背景】蛹虫草(Cordyceps militaris)作为虫草科虫草属的模式种一直受到全球研究人员的关注。【目的】多维度探讨蛹虫草研究的当前状况与未来趋势。【方法】基于Web of Science核心合集数据库对2005-2024年间有关蛹虫草的SCI核心集论文进行了全面的数据搜集、整理、分析和可视化处理。【结果】过去20年里,蛹虫草研究已从单一的培养特性拓展至跨学科领域,尤其是其活性成分和药理学效应已成为学术界关注的焦点。文献计量分析结果显示,2005-2009年间,主要研究方向为蛹虫草的人工培养。2010-2014年间,研究主题扩展至子实体相关的药理学,研究地位显著提升。2015年后,研究主题进一步多元化,涵盖了优化、表达、氧化应激、真菌、抗氧化剂、化学成分、NF-κB、细胞周期停滞等领域,显示了从培养技术向深入的生物学和医学机制研究的转变。【结论】蛹虫草的研究经历了从传统培养研究向多学科交叉的深刻变革,未来研究将更加侧重于活性成分的功能机制、生物活性物质的药理作用及潜在的医学应用,为蛹虫草的深入研究和开发利用提供科学依据。
