• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.6
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• pp.834-844
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• 2014

This study investigated original articles published in the Journal of the Korean Society of Clothing and Textiles (JKSCT) from 1977 through 2013 with a consideration of the research collaboration structure. Two international journals were chosen: Textile Research Journal (TRJ) and International Journal of Clothing Science and Technology (IJCT) in order to compare the clothing science research trends of JKSCT-publications to international trends. The collected data from the three journals were used to probe periodic changes in the number of publications and nationality of authors to find the relative international position of Korean clothing and textile researchers. Figures, tables, and references in each article were counted to suggest the most suitable way to express and interpret clothing science results. In addition to the quantified data analysis, a qualified analysis was investigated with the co-author network analysis. The findings revealed an increase in the number of published articles in JKSCT until 2009 with the rapid decrease after. The number of co-authors in JKSCT was relatively small compared to TRJ and IJCT but growing in the clothing and textile science group. The number of references in JKSCT increased 3 times from 1977 to 2013; therefore, it was assumed there is more recent active clothing and textile research. Lastly, a pattern of authors' interaction and the most contributed authors in the network was illustrated in the clothing and textile science group. The present study confirms that JKSCT has made significant progress toward knowledge development in the clothing and textile field and suggests that the analysis of accumulative knowledge helps researchers broaden the scale and approach of studies.

• Journal of the Korean Society for information Management
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• v.36 no.4
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• pp.279-300
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• 2019

This study aims to analyze and to demonstrate the research trends and intellectual structure in the field of catalog in the 2000s and 2010s through co-word analysis. The field of catalog had firmly established its own research area and Many differences were found in research trends and intellectual structures in the 2000s and 2010s. First, the average number of articles decreased by 4.2 in the 2010s compared to the 2000s, but the number of author keywords was not significantly different. Only 22.2% of keywords appeared more than three times in both periods, and 77.8% of keywords appeared more than three times in one period. Second, in terms of intellectual structure, the 2000s, represented by three-level clusters, formed a more complex network than the 2010s, represented by two-level clusters. Third, as a result of examining the changes in the characteristics of each cluster, there were some research topics with few changes, but many research topics were more actively progressed or subdivided, and decreased. The results of this study are meaningful in that they can visually grasp the intellectual structure along with the trend of the age of catalogue, and can prepare for related education and research by predicting the future.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.313-334
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• 2021

This study aimed to analyze AI research trends related to elementary, middle, and high school education. To this end, the related literature was collected from the SCOPUS database and the publication period of the collected literature was from 1974 to March 2021, with 154 journal papers and 571 conference papers. Research trends were analyzed based on the co-occurrences analysis technique of 4,521 words of author keyword and index keyword included in these papers. As a result of the analysis, big data, data mining, data science and deep learning were found as the latest research trends with machine learning and there was a difference between elementary, middle and high school education. It can be seen that elementary school had a lot of robot-related research, middle school had a lot of game and data-related research, and high school had various and in-depth research. In discussion, we mapped the top 50 words common to elementary, middle, and high schools with the 'Artificial Intelligence Basics' curriculum of Korean Government and '5 Big Ideas' of the United States Government so that AI research can be viewed at a glance.

• Journal of Preventive Medicine and Public Health
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• v.34 no.3
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• pp.200-210
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• 2001

Objective : To explore the status of cancer research in the Republic of Korea. Methods : Thirty-eight medical journals, published in Korea between 1990 and 1996, were reviewed for abstracts relating to cancer research. Of the 5,899 eligible abstracts related to cancer, 4,732 were collected and evaluated. Results : Including first author and first two co-authors, a total of 7,427 authors were identified. Those who published an average of one or more article per one year were defined as cancer researchers for this study. This group, however, accounted for a small proportion of the total (3.1%). Analysis of the selected abstracts showed that the study goals in more than half focused on pathophysiologic mechanisms. Studies that were designed to use causal relationships such as cohort studies and randomized controlled trials were rare. A greater number of analytic and experimental studies were found in abstracts published by the cancer researcher group. More advanced study designs that explored causal relationships and analytic procedures were found in abstracts published later than those abstracts published from 1990 to 1992. Conclusion : Our findings show that researchers who published more articles adopted more advanced study designs. This study provides primary data that can be used to compare the status of cancer research in future studies.

• Journal of Oral Medicine and Pain
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• v.19 no.2
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• pp.181-192
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• 1994

There have been many different theories on the etiology of temporomandibular disorders(TMDs). The objective of the study was to investigate the effects of occlusal fctors and recent life event changes as prediposing fctor on the development of temporomandibjlar disorders. To evaluate the above predisposing factor, the author used T-scan system(Tekscan Co. U.S.A.) for quantitative occlusal analysis, clinical examination for occlusal state and Social Readjustment Rating Scale(SRRS) for recent life event change units (LCU). 63 patients with TMDs and 57 patients with malocclusion presented at Wonkwang University Dental Hospital participated in this study. The subjects were grouped by Angle's classification and presence of absence of TMDs and parafunctional oral habits. Data gained with regard to contact number, contact force, contact time, occlusal state(number of total teeth and occluding teeth, overjet, overbite) and occlusal interferences (protrusive posterior contact, nonworking side interference, and RCP-ICP slide) and recent life event changes. The data were processed and analysed by SAS statistical package program, The results of this study were as follows : 1. There were no significant differences on both quantitative occlusal contact analysis and occlusal state between TMDs group and Angle's malocclusion group. Also, there were no differences among the Angle's classifications. But amount of overjet in TMDs group were more greater than that of malocclusion group. 2. There was no difference on protrusive posterior contact, and balancing contact between TMDs group and Angle's malocclusion group. Premature contact was more frequent in malocclusion group, but RCP-ICP slide was more frequent in TMDs group. And RCP-ICP slide was more freqent in Angle's class II malocclusion than Angle's I or III malocclusion. 3. Life changes units in TMDs group were higher than those in malocclusion group. And recent life change units in group with parafunctional oral habit were higher than those in group without parafunctional oral habits. Clenching was the most common habit among parafunctional oral habits.

• Journal of Oriental Neuropsychiatry
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• v.20 no.1
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• pp.177-197
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• 2009

Objectives : Gliosis disturbs recovery of damaged astrocytes following central nervous system(CNS) injury. Gliosis relates to up-regulation of CD81 and GFAP. In glial cells at injured CNS, the expression of CD81 and GFAP is increased. It is possible that when the gliosis formation is suppressed, regeneration of oxons can occur. According to the recent study, the treatment with anti CD81 antibodies enhanced functional recovery in rats with spinal injury. So, the author studies the effect of water extract of Radix Ginseng on regulation of CD81 and GFAP with CNS injury. Methods : In the cell study, hypoxic damage was induced by CoC12. And according to Longa et al, cerebral ischemia was made by middle cerebral artery occlusion in the rat. Cross sections of rat brain were examined under microscope. MTT analysis was performed to examine cell viability, cell based ELISA, Western Blot and PCR were used to detect the expression of CD81 and GFAP. Results : The following results were obtained. 1. We found that CD81 and GFAP were decreased in hypoxic injured cells following Radix Ginseng administration. 2. We injected the extract of Radix Ginseng to the middle cerebral artery occlusion in rats, and the immunohistochemistry analysis showed that CDS1 and GFAP were decreased. Conclusions : These results show that the extract of Radix Ginseng could suppress the gliosis formation and prevent cell death, by controlling the expression of CDS1 and GFAP. Therefore, Radix Ginseng could be a useful to regenerate CNS injury.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.199-207
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• 2018

This study aims to analyze Next Production Revolution (NPR) technologies through evidence-based keyword network in order to cope with the change of production paradigm called the Fourth Industrial Revolution (4IR). For the analysis, a total of 441 papers related to NPR or 4IR were extracted and the NPR technology network was constructed based on the simultaneous appearance relationship of the author keywords of these papers. Based on the NPR technology network, we explored key technologies through analysis of centrality and keyword group. As a result, technologies such as 'digital twin' and 'modeling and simulation', discovering insights by connecting the virtual and physical world in real time and reflecting them into design and process, are analyzed as key technologies.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.109-124
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• 2017

Through a wide variety of disciplines, practices on data access and re-use have been increased recently. In fact, there has been an emerging phenomenon that researchers tend to use the data sets produced by other researchers and give scholarly credit as citation. With respect to this practice, in 2012, Thomson Reuters launched Data Citation Index (DCI). With the DCI, citation to research data published by researchers are collected and analyzed in a similar way for citation to journal articles. The purpose of this study is to identify the characteristics and intellectual structure of sociology field based on research data, which is one of actively data-citing fields. To accomplish this purpose, two data sets were collected and analyzed. First, from DCI, a total of 8,365 data were collected in the field of sociology. Second, a total of 12,132 data were collected from Web of Science with a topic search with 'Sociology'. As a result of the co-word analysis of author provided-keywords for both data sets, the intellectual structure of research data-based sociology was composed of two areas and 15 clusters and that of article-based sociology was composed with three areas and 17 clusters. More importantly, medical science area was found to be actively studied in research data-based sociology and public health and psychology are identified to be central areas from data citation.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.79-92
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• 2015

Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology and a topic modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patents, and reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a Relational Data-to-Triples transformer is implemented. Also, a topic modeling approach is introduced to extract the document-topic relationships. A triple store is used to manage and process the ontology data while preserving the network characteristics of knowledge map service. Knowledge map can be divided into two types: one is a knowledge map used in the area of knowledge management to store, manage and process the organizations' data as knowledge, the other is a knowledge map for analyzing and representing knowledge extracted from the science & technology documents. This research focuses on the latter one. In this research, a knowledge map service is introduced for integrating the national R&D data obtained from National Digital Science Library (NDSL) and National Science & Technology Information Service (NTIS), which are two major repository and service of national R&D data servicing in Korea. A lightweight ontology is used to design and build a knowledge map. Using the lightweight ontology enables us to represent and process knowledge as a simple network and it fits in with the knowledge navigation and visualization characteristics of the knowledge map. The lightweight ontology is used to represent the entities and their relationships in the knowledge maps, and an ontology repository is created to store and process the ontology. In the ontologies, researchers are implicitly connected by the national R&D data as the author relationships and the performer relationships. A knowledge map for displaying researchers' network is created, and the researchers' network is created by the co-authoring relationships of the national R&D documents and the co-participation relationships of the national R&D projects. To sum up, a knowledge map-service system based on topic modeling and ontology is introduced for processing knowledge about the national R&D data such as research projects, papers, patent, project reports, and Global Trends Briefing (GTB) data. The system has goals 1) to integrate the national R&D data obtained from NDSL and NTIS, 2) to provide a semantic & topic based information search on the integrated data, and 3) to provide a knowledge map services based on the semantic analysis and knowledge processing. The S&T information such as research papers, research reports, patents and GTB are daily updated from NDSL, and the R&D projects information including their participants and output information are updated from the NTIS. The S&T information and the national R&D information are obtained and integrated to the integrated database. Knowledge base is constructed by transforming the relational data into triples referencing R&D ontology. In addition, a topic modeling method is employed to extract the relationships between the S&T documents and topic keyword/s representing the documents. The topic modeling approach enables us to extract the relationships and topic keyword/s based on the semantics, not based on the simple keyword/s. Lastly, we show an experiment on the construction of the integrated knowledge base using the lightweight ontology and topic modeling, and the knowledge map services created based on the knowledge base are also introduced.

• Herbal Formula Science
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• v.18 no.1
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• pp.57-77
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• 2010

Objective : This study reviews the recent trend of oriental medical prescription research. The data examined are the articles published in the Korean Journal of Oriental Medical Prescription from 1990 to 2009. Method : The data are retrieved through the internet database Oriental Medicine Advanced Searching Integrated System (OASIS) and the collection of the Korean Journal of Oriental Medical Prescription. The number of articles examined is 385, published in 25 volumes of the journal. This study examines the nature of the articles, research methods, subjects, and author information. Research subjects are sorted out by the OASIS key words for the articles published before 1999, and by key word indexes cited in the abstracts for the articles published sinceafter. Results : Among the 385 articles collected, 206 are research articles, 143 philological articles, 35 case studies, and 1 special contribution. A majority of research articles are experimental studies (199 articles or 96.6%), while clinical reports (5 articles or 2.43%), and others studies (2 articles) occupy a small portion. Most of experimental studies (183 articles or 91%) examine the effectiveness of certain prescriptions or treatments. Among the effectiveness studies, 114 articles (62.3%) employ in vivo experiment design, 52 articles (28.42%) in vitro experiments, and 17 articles (9.29%) both in vivo and in vitro experiments. In terms of research subject, the most frequently indexed key words are hepatotoxicity among diseases (9 articles), Bojungikgitang (Bu-Zhong-Yi-Qi-Tang) among prescriptions (10 articles), Buja (Acontii Tuber) among meteria medica (4 articles), immunity and anti-oxidation among efficacy terminology (6 articles each), and Donguibogam(東醫寶鑑) among references in the key words (25 articles). Universities are the main affiliation of authors (76.42%), followed by university hospitals (6.71%), non-academic research institutes (5.55%), local clinics (4.67), academic research institutes (2.81%), hospitals (2.38%), and others (1.44%). The most affiliated institute of the first and correspondent authors is Wonkwang University. In terms of authorship, co-authorship outnumbers sole-authorship by 82.08% to 17.92%. The proportion of authors of a single article is 63.54% which is near the author productivity distribution described by Lotka's law.