BACKGROUND Gut microbiota is an emerging field of research,with related research having breakthrough development in the past 15 years.Bibliometric analysis can be applied to analyze the evolutionary trends and emergin...BACKGROUND Gut microbiota is an emerging field of research,with related research having breakthrough development in the past 15 years.Bibliometric analysis can be applied to analyze the evolutionary trends and emerging hotspots in this field.AIM To study the subject trends and knowledge structures of gut microbiota related research fields from 2004 to 2018.METHODS The literature data on gut microbiota were identified and downloaded from the PubMed database.Through biclustering analysis,strategic diagrams,and social network analysis diagrams,the main trend and knowledge structure of research fields concerning gut microbiota were analyzed to obtain and compare the research hotspots in each period.RESULTS According to the strategic coordinates and social relationship network map,Clostridium Infections/microbiology,Clostridium Infections/therapy,RNA,Ribosomal,16S/genetics,Microbiota/genetics,Microbiota/immunology,Dysbiosis/immunology,Infla-mmation/immunology,Fecal Microbiota Transplantation/methods,Fecal Microbiota Transplantation can be used as an emerging research hotspot in the past 5 years(2014-2018).CONCLUSION Some subjects were not yet fully studied according to the strategic coordinates;and the emerging hotspots in the social network map can be considered as directions of future research.展开更多
Big data is a concept that deals with large or complex data sets by using data analysis tools(e.g.,data mining,machine learning)to analyze information extracted from several sources systematically.Big data has attract...Big data is a concept that deals with large or complex data sets by using data analysis tools(e.g.,data mining,machine learning)to analyze information extracted from several sources systematically.Big data has attracted wide attention from academia,for example,in supporting patients and health professionals by improving the accuracy of decision-making,diagnosis and disease prediction.This research aimed to perform a Bibliometric Performance and Network Analysis(BPNA)supported by a Scoping Review(SR)to depict the strategic themes,thematic evolution structure,main challenges and opportunities related to the concept of big data applied in the healthcare sector.With this goal in mind,4857 documents from the Web of Science covering the period between 2009 to June 2020 were analyzed with the support of SciMAT software.The bibliometric performance showed the number of publications and citations over time,scientific productivity and the geographic distribution of publications and research fields.The strategic diagram yielded 20 clusters and their relative importance in terms of centrality and density.The thematic evolution structure presented the most important themes and how it changes over time.Lastly,we presented the main challenges and future opportunities of big data in healthcare.展开更多
Using the advantages of web crawlers in data collection and distributed storage technologies,we accessed to a wealth of forestry-related data.Combined with the mature big data technology at its present stage,Hadoop...Using the advantages of web crawlers in data collection and distributed storage technologies,we accessed to a wealth of forestry-related data.Combined with the mature big data technology at its present stage,Hadoop's distributed system was selected to solve the storage problem of massive forestry big data and the memory-based Spark computing framework to realize real-time and fast processing of data.The forestry data contains a wealth of information,and mining this information is of great significance for guiding the development of forestry.We conducts co-word and cluster analyses on the keywords of forestry data,extracts the rules hidden in the data,analyzes the research hotspots more accurately,grasps the evolution trend of subject topics,and plays an important role in promoting the research and development of subject areas.The co-word analysis and clustering algorithm have important practical significance for the topic structure,research hotspot or development trend in the field of forestry research.Distributed storage framework and parallel computing have greatly improved the performance of data mining algorithms.Therefore,the forestry big data mining system by big data technology has important practical significance for promoting the development of intelligent forestry.展开更多
In recent years,the enabling role of technology has been widely recognized in second language teaching and learning.Using a co-word analysis approach,this study aims to present the state-ofthe-art current literature i...In recent years,the enabling role of technology has been widely recognized in second language teaching and learning.Using a co-word analysis approach,this study aims to present the state-ofthe-art current literature in technology enhanced language learning.The analysis results show that most popular research themes from 2010 to 2020 are CMC,L2 writing,teacher education,L2 motivation,students’attitudes,SLA,L2 vocabulary learning,L2 reading,EFL,and L2 learners.Compared with these key themes,publications on technology enhanced teaching Chinese as a foreign language focus more on the investigation of the effectiveness of the use of latest technologies such as smart phones,virtual reality,intelligent tools,and gamification.Based on the findings of these investigations,the latest developments in these areas are synthesized and presented accordingly.In addition,newly-emerged key themes about the co-word analysis are also reported and their contributions to future investigations is briefly discussed.The implications for future research in technology enhanced teaching Chinese as a foreign language is also discussed.展开更多
In order to cultivate information literacy among college students,the Chinese government has formulated a series of relevant policies as well as revised and adjusted the policy priorities along with the times.Guided b...In order to cultivate information literacy among college students,the Chinese government has formulated a series of relevant policies as well as revised and adjusted the policy priorities along with the times.Guided by co-word and social network analysis,this study analyzes 170 policy texts that have been promulgated by the Chinese government from 1981 to 2020.Based on the clustering results of high-frequency keywords,this study explores the characteristics of policy evolution and its influencing factors from three dimensions:policy themes,contents of information literacy education,and the methods for cultivating information literacy education.Several suggestions have also been put forward in this article to improve the information literacy education policy for Chinese college students.展开更多
Science and technology talent evaluation is an important part of the talent development system and mechanism,and the state's emphasis on science and technology talent evaluation is reflect-ed in the national polic...Science and technology talent evaluation is an important part of the talent development system and mechanism,and the state's emphasis on science and technology talent evaluation is reflect-ed in the national policy.This paper takes 49 policy documents on science and technology tal-ent evaluation issued by the state from 1978 to 2022 as the object,and uses policy text analysis,word frequency analysis and co-word network analysis to interpret the content of the policies.These policy texts are divided into four stages.200 high-frequency words were extracted from the policies in each stage after word segmentation was made,and the co-word matrixes and co-word networks were constructed for each stage.The research draws the following conclu-sions:1)The content of Chinese science and technology talent evaluation policies is gradually becoming concrete,and the concept of science and technology talent evaluation is gradually clear;2)The policies have transitioned from"scientific and technological development"to"sci-entific and technological innovation";3)The distribution of policies with different strengths is uneven;4)The cooperation between all departments involved in policy formulation is not e-nough.展开更多
Objective:To explore the rules of acupoint combination in acupuncture treatment of post-stroke pseudobulbar palsy(PBP),based on acupuncture prescriptions retrieved from literature and using complex network analysis.Me...Objective:To explore the rules of acupoint combination in acupuncture treatment of post-stroke pseudobulbar palsy(PBP),based on acupuncture prescriptions retrieved from literature and using complex network analysis.Methods:The articles were searched from China National Knowledge Infrastructure(CNKI),Wanfang and VIP databases as the source of data.The eligible articles were selected in accordance with inclusion and exclusion criteria.The relevant data were extracted to set up the acupoint prescription database in acupuncture treatment of PBP.By using co-occurrence relationship in acupoint prescriptions,the core acupoints and the combination rules were analyzed in acupuncture treatment of PBP.Results:A total of 194 articles were eligible finally,with 202 acupoint prescriptions extracted.19 core acupoints were collected in total,i.e.Liánquán(廉泉CV23),Fēngchí(风池GB20),Bǎihuì(百会GV20),Jīnjīn(金津EX-HN12),Yùyè(玉液EX-HN13),Fēngfǔ(风府GV16),Yǎmén(哑门GV15),Shuǐgōu(水沟GV26),Nèiguān(内关PC6),Fēnglóng(丰隆ST40),Wángǔ(完骨GB12),Sānyīnjiāo(三阴交SP16),Yìfēng(翳风TE17),Tōnglǐ(通里HT5),Tàichōng(太冲LR3),Hégǔ(合谷LI4),Hǎiquán(海泉EX-HN11),Jùquán(聚泉EX-HN10)and Yìntáng(印堂EX-HN3).The core acupoint groups were CV23-GB20,EX-HN12-EX-HN13 and GV26-PC6-SP6.Acupoints were mostly selected from governor vessel.The methods of acupoint combination included the combination of distal and nearby points,and the combination of the acupoints located in the front and on the back.Conclusions:In treatment of PBP with acupuncture,biaoben(manifestation and root cause)theory is emphasized,the methods for dispelling wind,resolving phlegm,regaining consciousness,and opening orifices are recommended.Moreover,the attentions are paid on spirit regulation,holistic adjustment,and syndrome differentiation in treatment.展开更多
The construction method for chains of disasters or events is still one of the core scientific questions in studying the common rules of disaster’s evolution.Especially when dealing with the complexity and diversity o...The construction method for chains of disasters or events is still one of the core scientific questions in studying the common rules of disaster’s evolution.Especially when dealing with the complexity and diversity of disasters,it is critical to make a further investigation on reducing the dependency of prior knowledge and supporting the comprehensive chains of disasters.This paper tries to propose a novel approach,through collecting the big scholar and social news data with disasterrelated keywords,analysing the strength of their relationships with the co-word analysis method,and constructing a complex network of all defined disaster types,in order to finally intelligently extract the unique disaster chain of a specific disaster type.Google Scholar,Baidu Scholar and Sina News search engines are employed to acquire the needed data,and the respectively obtained disaster chains are compared with each other to show the robustness of our proposed approach.The achieved disaster chains are also compared with the ones concluded from existing research methods,and the very reasonable result is demonstrated.There is a great potential to apply this novel method in disaster management domain to find more secrets about disasters.展开更多
This study investigates the top authors,the most frequent keywords in selected top Chinese and international journals in academic librarian ship,and emergent themes by conducting network and cluster analysis.The resul...This study investigates the top authors,the most frequent keywords in selected top Chinese and international journals in academic librarian ship,and emergent themes by conducting network and cluster analysis.The results suggest that LIS researchers in China's Mainland were less active in publishing articles in international journals during the period examined.Chinese researchers fo cused more on reading promotion and new technology implementation in libraries,while international researchers discuss communications among diverse disciplines more.Drawing international subject librarians’practices could be an approach to transform Chinese academic libraries to cope with the library crisis by playing a role as a bridge among scholars from various disciplines.展开更多
基金Supported by the Liaoning Provincial Key R and D Guidance Plan Project in 2018,No.2018225009the Liaoning Colleges and Universities Basic Research Project,No.LFWK201710.
文摘BACKGROUND Gut microbiota is an emerging field of research,with related research having breakthrough development in the past 15 years.Bibliometric analysis can be applied to analyze the evolutionary trends and emerging hotspots in this field.AIM To study the subject trends and knowledge structures of gut microbiota related research fields from 2004 to 2018.METHODS The literature data on gut microbiota were identified and downloaded from the PubMed database.Through biclustering analysis,strategic diagrams,and social network analysis diagrams,the main trend and knowledge structure of research fields concerning gut microbiota were analyzed to obtain and compare the research hotspots in each period.RESULTS According to the strategic coordinates and social relationship network map,Clostridium Infections/microbiology,Clostridium Infections/therapy,RNA,Ribosomal,16S/genetics,Microbiota/genetics,Microbiota/immunology,Dysbiosis/immunology,Infla-mmation/immunology,Fecal Microbiota Transplantation/methods,Fecal Microbiota Transplantation can be used as an emerging research hotspot in the past 5 years(2014-2018).CONCLUSION Some subjects were not yet fully studied according to the strategic coordinates;and the emerging hotspots in the social network map can be considered as directions of future research.
基金financed in part by the Coordenacao de Aperfeicoamento de Pessoal de Nível Superior-Brazil(CAPES)-Finance Code 001the Spanish Ministry of Science and Innovation under grants PID2019-105381 GA-100(iScience).
文摘Big data is a concept that deals with large or complex data sets by using data analysis tools(e.g.,data mining,machine learning)to analyze information extracted from several sources systematically.Big data has attracted wide attention from academia,for example,in supporting patients and health professionals by improving the accuracy of decision-making,diagnosis and disease prediction.This research aimed to perform a Bibliometric Performance and Network Analysis(BPNA)supported by a Scoping Review(SR)to depict the strategic themes,thematic evolution structure,main challenges and opportunities related to the concept of big data applied in the healthcare sector.With this goal in mind,4857 documents from the Web of Science covering the period between 2009 to June 2020 were analyzed with the support of SciMAT software.The bibliometric performance showed the number of publications and citations over time,scientific productivity and the geographic distribution of publications and research fields.The strategic diagram yielded 20 clusters and their relative importance in terms of centrality and density.The thematic evolution structure presented the most important themes and how it changes over time.Lastly,we presented the main challenges and future opportunities of big data in healthcare.
基金grants from the Fundamental Research Funds for the Central Universities(Grant No.2572018BH02)Special Funds for Scientific Research in the Forestry Public Welfare Industry(Grant Nos.201504307-03)。
文摘Using the advantages of web crawlers in data collection and distributed storage technologies,we accessed to a wealth of forestry-related data.Combined with the mature big data technology at its present stage,Hadoop's distributed system was selected to solve the storage problem of massive forestry big data and the memory-based Spark computing framework to realize real-time and fast processing of data.The forestry data contains a wealth of information,and mining this information is of great significance for guiding the development of forestry.We conducts co-word and cluster analyses on the keywords of forestry data,extracts the rules hidden in the data,analyzes the research hotspots more accurately,grasps the evolution trend of subject topics,and plays an important role in promoting the research and development of subject areas.The co-word analysis and clustering algorithm have important practical significance for the topic structure,research hotspot or development trend in the field of forestry research.Distributed storage framework and parallel computing have greatly improved the performance of data mining algorithms.Therefore,the forestry big data mining system by big data technology has important practical significance for promoting the development of intelligent forestry.
基金The 2016 major project of one hundred key research bases of Humanities and Social Sciences of the Ministry of Education Fund 16JJD740004 China。
文摘In recent years,the enabling role of technology has been widely recognized in second language teaching and learning.Using a co-word analysis approach,this study aims to present the state-ofthe-art current literature in technology enhanced language learning.The analysis results show that most popular research themes from 2010 to 2020 are CMC,L2 writing,teacher education,L2 motivation,students’attitudes,SLA,L2 vocabulary learning,L2 reading,EFL,and L2 learners.Compared with these key themes,publications on technology enhanced teaching Chinese as a foreign language focus more on the investigation of the effectiveness of the use of latest technologies such as smart phones,virtual reality,intelligent tools,and gamification.Based on the findings of these investigations,the latest developments in these areas are synthesized and presented accordingly.In addition,newly-emerged key themes about the co-word analysis are also reported and their contributions to future investigations is briefly discussed.The implications for future research in technology enhanced teaching Chinese as a foreign language is also discussed.
文摘In order to cultivate information literacy among college students,the Chinese government has formulated a series of relevant policies as well as revised and adjusted the policy priorities along with the times.Guided by co-word and social network analysis,this study analyzes 170 policy texts that have been promulgated by the Chinese government from 1981 to 2020.Based on the clustering results of high-frequency keywords,this study explores the characteristics of policy evolution and its influencing factors from three dimensions:policy themes,contents of information literacy education,and the methods for cultivating information literacy education.Several suggestions have also been put forward in this article to improve the information literacy education policy for Chinese college students.
文摘Science and technology talent evaluation is an important part of the talent development system and mechanism,and the state's emphasis on science and technology talent evaluation is reflect-ed in the national policy.This paper takes 49 policy documents on science and technology tal-ent evaluation issued by the state from 1978 to 2022 as the object,and uses policy text analysis,word frequency analysis and co-word network analysis to interpret the content of the policies.These policy texts are divided into four stages.200 high-frequency words were extracted from the policies in each stage after word segmentation was made,and the co-word matrixes and co-word networks were constructed for each stage.The research draws the following conclu-sions:1)The content of Chinese science and technology talent evaluation policies is gradually becoming concrete,and the concept of science and technology talent evaluation is gradually clear;2)The policies have transitioned from"scientific and technological development"to"sci-entific and technological innovation";3)The distribution of policies with different strengths is uneven;4)The cooperation between all departments involved in policy formulation is not e-nough.
基金Supported by Qilu Chinese Medicine Academic Heritage Project:[2020]No.132。
文摘Objective:To explore the rules of acupoint combination in acupuncture treatment of post-stroke pseudobulbar palsy(PBP),based on acupuncture prescriptions retrieved from literature and using complex network analysis.Methods:The articles were searched from China National Knowledge Infrastructure(CNKI),Wanfang and VIP databases as the source of data.The eligible articles were selected in accordance with inclusion and exclusion criteria.The relevant data were extracted to set up the acupoint prescription database in acupuncture treatment of PBP.By using co-occurrence relationship in acupoint prescriptions,the core acupoints and the combination rules were analyzed in acupuncture treatment of PBP.Results:A total of 194 articles were eligible finally,with 202 acupoint prescriptions extracted.19 core acupoints were collected in total,i.e.Liánquán(廉泉CV23),Fēngchí(风池GB20),Bǎihuì(百会GV20),Jīnjīn(金津EX-HN12),Yùyè(玉液EX-HN13),Fēngfǔ(风府GV16),Yǎmén(哑门GV15),Shuǐgōu(水沟GV26),Nèiguān(内关PC6),Fēnglóng(丰隆ST40),Wángǔ(完骨GB12),Sānyīnjiāo(三阴交SP16),Yìfēng(翳风TE17),Tōnglǐ(通里HT5),Tàichōng(太冲LR3),Hégǔ(合谷LI4),Hǎiquán(海泉EX-HN11),Jùquán(聚泉EX-HN10)and Yìntáng(印堂EX-HN3).The core acupoint groups were CV23-GB20,EX-HN12-EX-HN13 and GV26-PC6-SP6.Acupoints were mostly selected from governor vessel.The methods of acupoint combination included the combination of distal and nearby points,and the combination of the acupoints located in the front and on the back.Conclusions:In treatment of PBP with acupuncture,biaoben(manifestation and root cause)theory is emphasized,the methods for dispelling wind,resolving phlegm,regaining consciousness,and opening orifices are recommended.Moreover,the attentions are paid on spirit regulation,holistic adjustment,and syndrome differentiation in treatment.
基金funded by National Key Research and Development Program of China(Grant No.2016YFC0803107,Grant No.2016YFB0502601)Shenzhen Science and Technology Innovation Commission(JCYJ20170307152553273).
文摘The construction method for chains of disasters or events is still one of the core scientific questions in studying the common rules of disaster’s evolution.Especially when dealing with the complexity and diversity of disasters,it is critical to make a further investigation on reducing the dependency of prior knowledge and supporting the comprehensive chains of disasters.This paper tries to propose a novel approach,through collecting the big scholar and social news data with disasterrelated keywords,analysing the strength of their relationships with the co-word analysis method,and constructing a complex network of all defined disaster types,in order to finally intelligently extract the unique disaster chain of a specific disaster type.Google Scholar,Baidu Scholar and Sina News search engines are employed to acquire the needed data,and the respectively obtained disaster chains are compared with each other to show the robustness of our proposed approach.The achieved disaster chains are also compared with the ones concluded from existing research methods,and the very reasonable result is demonstrated.There is a great potential to apply this novel method in disaster management domain to find more secrets about disasters.
文摘This study investigates the top authors,the most frequent keywords in selected top Chinese and international journals in academic librarian ship,and emergent themes by conducting network and cluster analysis.The results suggest that LIS researchers in China's Mainland were less active in publishing articles in international journals during the period examined.Chinese researchers fo cused more on reading promotion and new technology implementation in libraries,while international researchers discuss communications among diverse disciplines more.Drawing international subject librarians’practices could be an approach to transform Chinese academic libraries to cope with the library crisis by playing a role as a bridge among scholars from various disciplines.
