Objectives By bibliographically analyzing acupuncture treatment studies for temporomandibular disorders over the past 20 years, we found an overview of global trends and a new perspective on future research directions. Methods We searched on the Web of Science webpage through the formula (TS=[temporomandibular] OR TS=[craniomandibular] OR TS=[jaw]) AND (TS=[*acupuncture] OR TS=[dry needl*] OR TS=[warm needl*] OR TS=[thread embed*]) AND (PY=[2003-2022]). And it was analyzed by year, research field, academic journal, country, research institute, author, and keyword. Results 194 papers were searched, and 92 papers were finally selected. The number of papers published over the past 20 years has been on the rise. Research has been the most active in the field of Dentistry Oral Surgery Medicine. Brazil published the most papers. And by institution, Universidade de Sao Paulo published the most papers. Among the authors, Fernández-de-las-Peñas has published the most papers. In the analysis by keyword, the top five keywords were temporomandibular joint disorder, acupuncture, myofascial pain, pain and management. Conclusions This study will provide useful guidelines for setting the direction of research by referring to the research status and keyword analysis when conducting research on the acupuncture on temporomandibular disorder in the future.
This study analyzed research trends related to Christian school education in Korea. In order to analyze academic societies and conferences related to Christian school education, the topics of conferences and research results and theses related to Christian school education in Korea were collected to analyze the frequency and trend of Christian school education-related topics. In addition, papers searched as "Christian schools" among the academic journal's published papers were classified and organized. In order to understand research trends related to Christian school education, the year and frequency of academic journals related to Christian school education were analyzed, and the contents of the published papers were divided into research schools, research subjects, and research contents.As a result of analyzing research trends of Christian school education, it was found that there were very few academic exchanges or academic activities related to Christian school education, and most supported lectures and meetings related to the reconstruction of curriculum and class management directly supporting school sites. Therefore, this study proposed that academic societies and conferences should be revitalized in Christian school education-related institutions. In addition, this study found that annual academic conferences of Christian education-related academic societies were rarely held under the theme of Christian school education, and suggested to revitalize research related to Christian school education in the academic societies of Christian education in order that God's kingdom may be restored and expanded in the area of education by recovering school education through active research on Christian school education. Third, as a result of analyzing the papers published in domestic journals, it was confirmed that research on Christian school education was mainly conducted around universities, and the topics were limited to history, curriculum, religious education, identity, and missionary work. In this regard, this study proposed to expand the research topics related to Christian school education. Finally, as a result of analyzing the published academic journals that studied on Christian school education, it was found that the non-Christian camp is also conducting research with interest in Christian schools, and thus, communication with the non-Christian camp was proposed to revitalize research on Christian school education.
The effect of weather on disease was investigated based on results reported in academic papers. Weather-sensitive disease was selected by analyzing the frequency distributions of diseases and correlations between diseases and meteorological factors (e.g., temperature, humidity, pressure, and wind speed). Correlations between disease and meteorological factors were most frequently reported for myocardial infarction (MI) (28%) followed by chronic ischemic heart disease (CHR) (12%), stroke (STR) (10%), and angina pectoris (ANG) (5%). These four diseases had significant correlations with temperature (meaningful correlation for MI and negative correlations for CHR, STR, and ANG). Selecting MI, as a representative weather-sensitive disease, and summarizing the quantitative correlations with meteorological factors revealed that, daily hospital admissions for MI increased approximately 1.7%-2.2% with each $1^{\circ}C$ decrease in physiologically equivalent temperature. On the days when MI occurred in three or more patients larger daily temperature ranges ($2.3^{\circ}C$ increase) were reported compared with the days when MI occurred in fewer than three patients. In addition, variations in pressure (10 mbar, 1016 mbar standard) and relative humidity (10%) contributed to an 11%-12% increase in deaths from MI and an approximately 10% increase in the incidence of MI, respectively.
Journal of The Korean Association of Information Education
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v.16
no.2
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pp.233-243
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2012
The purpose of this study is to suggest the direction and implications of robot education by analyzing domestic research trend related to robot education and effectiveness papers from 2001 to the recent time. For examining the research trend related to robot education, 112 papers in total 10 kinds of professional academic journals of National Research Foundation of Korea were selected and they were analyzed by academic journal, year, research form, research subject, research object and research method. As the result of analyzing the number of papers by year, they are greatly increased from 2007. And, for the research subjects, they showed high rate of research, programming education and children's response research in order. For the research method, the experimental research was fulfilled the mostly. In the research on the educational effects of robot, it's reported to be effective in creativity, problem-solving ability, academic accomplishment of subjects, justifying factors of studying concentration and studying attitude. Based on the studying material, direction and implications of robot education were suggested.
This study presented the results of meta-analysis through topic modeling among the papers published in the Journal of the International Trade Association for the purpose of presenting academic research trends in the field of trade insurance and future research directions. Among the total 2,010 papers included in the Journal of the Korea International Trade Association, the analyzed paper covers the subject of trade-related insurance. According to detailed topics, 33 marine insurance (42.31%), 16 export insurance (20.51%), 11 hull insurance (14.10%), and 18 others (23.08%), and 4 other products liability insurance. According to the empirical analysis results, Topic 1 was classified as marine insurance, airworthiness, notice obligation, and collateral, and Topic 2 was derived as a representative topic for loading insurance, emergency risk, and immunity as export insurance. And Topic 3 was classified as vessel, sinking and container in relation to ship insurance, and Topic 4 was analyzed as an important topic such as manufacture and British marine insurance. Through the analysis results, we selected the representative topic used for the trade insurance topic and looked at the status of major research. Trade insurance is an area that requires the development of more theoretical and practical research subjects as an optimal risk management means in international trade transactions. To this end, first, support from the Korea International Trade Association is needed to establish a continuous research subject sharing system for the development of research subjects in the field of trade insurance. Second, academic journal operation management must be continuously managed in which academic research papers can be submitted and published.
Journal of Korean Library and Information Science Society
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v.55
no.2
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pp.219-242
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2024
This study examined the output performance of papers published in international journals in the LIS field over the past 20 years and used the Gini coefficient and Hirschman-Herfindahl (HHI) index to understand the international gap in academic paper output and its changes. In addition, the characteristics of academic publications were visualized focusing on the top producing countries of academic papers, and differences according to sub-research areas were also identified. As a result of the analysis, first, although the United States and China are leading the publication of papers over the past five years, the results produced by the Netherlands showed relatively high influence and international and industrial cooperation results. Second, a high inter-country gap index (g= 0.7-0.8) has been maintained in terms of paper production and citation volume over the past 20 years, but the concentration of top countries is showing a trend of easing over time, as CR3 (Concentration Ration 3) decreased from 63.3% to 43.2%, HHI decreased from 2,129.6 to 976.1. Third, the LS field showed the highest gap between countries and a high degree of concentration centered on the United States, while the SM field was confirmed to be the most dispersed.
This study primarily focused on the development of an Explainable Artificial Intelligence (XAI) model to discern and analyze papers with significant impact in the field of mathematics education. To achieve this, meta-information from 29 domestic and international mathematics education journals was utilized to construct a comprehensive academic research network in mathematics education. This academic network was built by integrating five sub-networks: 'paper and its citation network', 'paper and author network', 'paper and journal network', 'co-authorship network', and 'author and affiliation network'. The Random Forest machine learning model was employed to evaluate the impact of individual papers within the mathematics education research network. The SHAP, an XAI model, was used to analyze the reasons behind the AI's assessment of impactful papers. Key features identified for determining impactful papers in the field of mathematics education through the XAI included 'paper network PageRank', 'changes in citations per paper', 'total citations', 'changes in the author's h-index', and 'citations per paper of the journal'. It became evident that papers, authors, and journals play significant roles when evaluating individual papers. When analyzing and comparing domestic and international mathematics education research, variations in these discernment patterns were observed. Notably, the significance of 'co-authorship network PageRank' was emphasized in domestic mathematics education research. The XAI model proposed in this study serves as a tool for determining the impact of papers using AI, providing researchers with strategic direction when writing papers. For instance, expanding the paper network, presenting at academic conferences, and activating the author network through co-authorship were identified as major elements enhancing the impact of a paper. Based on these findings, researchers can have a clear understanding of how their work is perceived and evaluated in academia and identify the key factors influencing these evaluations. This study offers a novel approach to evaluating the impact of mathematics education papers using an explainable AI model, traditionally a process that consumed significant time and resources. This approach not only presents a new paradigm that can be applied to evaluations in various academic fields beyond mathematics education but also is expected to substantially enhance the efficiency and effectiveness of research activities.
The Science and Technology Information Service provided by the Korea Institute of Science and Technology Information (KISTI) is a service designed to allow users to easily and conveniently search and view content that is built similar to the general information service. NDSL is KISTI's core science, technology and information service, providing about 138 million content and having about 93 million page views in a year of 2019. In this paper, various insights were derived through the analysis of how science and technology information such as academic papers, reports and patents provided by NDSL is searched and utilized through web services (https://www.ndsl.kr) and search query words. In addition to general statistics such as the status of content construction, utilization status and utilization methods by type of content, monthly/weekly/time-of-day content usage, content view rate per one-time search by content type, the comparison of the use status of academic papers by year, the relationship between the utilization of domestic academic papers and the KCI index we analyzed the usability of each content type, such as academic papers and patents. We analyzed query words such as the language form of query words, the number of words of query words, and the relationship between query words and timeliness by content type. Based on the results of these analyses, we would like to propose ways to improve the service. We suggest that NDSL improvements include ways to dynamically reflect the results of content utilization behavior in the search results rankings, to extend query and to establish profile information through non-login user identification for targeted services.
Journal of the Korean Society for information Management
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v.37
no.1
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pp.153-177
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2020
In the context of open science, data sharing and reuse are becoming important researchers' activities. Among the discussions about data sharing and reuse, data journals and data papers shows visible results. Data journals are published in many academic fields, and the number of papers is increasing. Unlike the data itself, data papers contain activities that cite and receive citations, thus creating their own intellectual structures. This study analyzed 14 data journals indexed by Web of Science, 6,086 data papers and 84,908 cited references to examine the intellectual structure of data journals and data papers in academic community. Along with the author's details, the co-citation analysis and bibliographic coupling analysis were visualized in network to identify the detailed subject areas. The results of the analysis show that the frequent authors, affiliated institutions, and countries are different from that of traditional journal papers. These results can be interpreted as mainly because the authors who can easily produce data publish data papers. In both co-citation and bibliographic analysis, analytical tools, databases, and genome composition were the main subtopic areas. The co-citation analysis resulted in nine clusters, with specific subject areas being water quality and climate. The bibliographic analysis consisted of a total of 27 components, and detailed subject areas such as ocean and atmosphere were identified in addition to water quality and climate. Notably, the subject areas of the social sciences have also emerged.
Journal of Korean Library and Information Science Society
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v.52
no.2
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pp.25-44
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2021
In a situation where OA papers are increasing, POI, which indexes how open the research activities of individual researchers are, is drawing attention. This study investigated the existence of OA papers and the OA method published in international academic journals by domestic LIS researchers, and derived the researchers' POI based on this. In addition, by examining the relationship between the POI index and the researcher's amount of research papers, the research sub field, and the foreign co-authors, it was analyzed whether these factors are relevant to the researcher's POI. As a result, there were 492 papers by 82 researchers whose OA status and method were normally identified through Unpaywall. Second, only 20.7% of papers published in international journals were open accessed, and almost cases were gold and green methods. Third, there were many papers in text mining in medical journals, and the papers opened in the green method are open in institutional repositories of foreign co-authors or transnational subject repositories such as PMC. Third, the POI index was relatively higher for researchers in the field of informetrics, machine learning than other fields. In addition, it was analyzed that the presence or absence of overseas co-authors is related to OA.
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