• Journal of the Korean Society for Library and Information Science
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• v.57 no.4
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• pp.311-331
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• 2023

This study attempted to explore the characteristics of knowledge communication and investigate important research topics and key authors by analyzing major academic papers in the field of LIS in Korea for five years from 2018 to 2022. The research method collected and analyzed papers published for five years in four key journals in the field of domestic Library and Information Science from the Korean Citation Index (KCI) database. The paper was selected to extract the author data of the paper and the data of the reference, and network visualization was performed by conducting literature co-citation analysis and author co-citation analysis using Netminer. As a result of the analysis, it was possible to derive a pair of co-citations between authors, and it was confirmed that it is important to include multiple authors in the intellectual structure analysis in the academic field through co-citation frequency analysis among researchers. The literature confirmed the correlation between the topics of the paper, and it was found that research related to Library and Information Science was centered on the topics of library, digital, user, service, and data.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.183-192
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• 2024

The purpose of this study was to collect research related to virtual clothing conducted in Japan with virtual clothing as the keyword, and to understand research trends in the field of virtual clothing, including research timing, content, and methods. By doing so, I attempted to present a direction of travel for future research related to virtual clothing. An analysis of the academic fields of virtual clothing-related journals and dissertations revealed that the fashion field was the most common, followed by the natural sciences and the arts. The distribution of virtual clothing-related studies by year showed a gradual increase after 2000, a decrease between 2016 and 2020, and an increasing trend after the corona pandemic. Marketing was the most common research topic for virtual clothing, followed by virtual fitting, design, materials, and systems. Experimental research was the most common research method related to virtual clothing, followed by survey research and development research. n the future, research on fashion-related system development and verification of the effectiveness of virtual garments is expected to advance. In addition, it would be necessary to analyze trends in virtual clothing research outside of Korea.

• The Journal of Korean Academic Society of Nursing Education
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• v.30 no.2
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• pp.149-159
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• 2024

Purpose: The aim of this study was to identify core keywords and topic groups in the "adolescent pregnancy" field of research for a better understanding of research trends in the past 10 years. Methods: Topics related to adolescent pregnancy were extracted from 3,819 articles that were published in journals between January 2013 and July 2023. Abstracts were retrieved from five databases (MEDLINE, CINAHL, Embase, RISS, and KISS). Keywords were extracted from the abstracts and cleaned using semantic morphemes. Text network analysis and topic modeling were performed using NetMiner 4.3.3. Results: The most important keywords were "health," "woman," "risk," "group," "girl," "school," "service," "family," "program," and "contraception." Five topic groups were identified through topic modeling. Through the topic modeling analysis, five themes were derived: "health service," "community program for school girls," "risks for adult women," "relationship risks," and "sexual contraceptive knowledge." Conclusion: This study utilized text network analysis and topic modeling to analyze keywords from abstracts of research conducted over the past decade on adolescent pregnancy. Given that adolescent pregnancy leads to physical, mental, social, and economic issues, it is imperative to provide integrated intervention programs, including prenatal/postnatal care, psychological services, proper contraception methods, and sex education, through school and community partnerships, as well as related research studies. Nurses can play a vital role by actively engaging in prevention efforts and directly supporting and educating socially disadvantaged adolescent mothers, which could significantly contribute to improving their quality of life.

• Journal of Yeungnam Medical Science
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• v.41 no.2
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• pp.74-79
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• 2024

Patient-physician interaction (PPI) is an important area in medical education, but in-depth discussions on the content of the outcome of patient-doctor education are rare. Therefore, in this study, we will systematically analyze the research on PPI education in Korea. In this study, papers searched with keywords related to PPI education from Korea's academic journal service were targeted according to a systematic literature analysis method. The scope of the study was to include papers published in academic journals that are candidates for Korea Citation Index registration, excluding dissertations, research reports, posters, conference presentations, books, and internet materials. The content included papers targeting medical education and medical school students was set as the range. As a result of the analysis, although communication between PPI has many positive effects in the PPI in medical education at medical schools, obstacles do occur, and various ways to overcome them were suggested. Therefore, although medical interview training between patients and doctors in medical schools is necessary, it was analyzed as being based on overseas research or lacking in specific content. The core of PPI education appears to be medical interviews, and it seems necessary to discuss whether empathy or patient-centered medical care are appropriate as the main principles of PPI education in Korea. Therefore, education on the patient-doctor relationship is an important element in medical humanities and medical humanities education, and it is expected that research and education on this will progress more actively.

• Information Systems Review
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• v.18 no.3
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• pp.73-96
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• 2016

Recent research on information and communication technology and Internet-of-Things indicates that convergence and integration facilitate the development of various technologies. Similarly, related academic theories and technologies have also gained attention. This paradigm shift facilitated the convergence and integration of academic disciplines. In particular, information systems have become initiators of change. However, only a limited number of studies have been conducted on information systems. To address this gap, this study explores the future direction of information systems based on the core concepts and results of the comparative analysis conducted on research trends. We considered 48,102 data obtained from international top journals from 1980 to 2015. We analyzed journal titles, authors, abstracts, and keywords. We conducted the network analysis on existing collaborative studies and performed comparative analysis to visualize the results. The results provide an in-depth understanding of information systems and provides directions for future research on this area.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.395-404
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• 2020

The purpose of this study is to analyze the research published in Korea on the live atrium of Toegye Lee Hwang and present its applicability as a health dance program.To this end, Korean academic journals, the Korean Institute of Information Scientists and Engineers, and DBpia searched Korean journal publications with the keyword 'active visit', and 24 articles published from 1974 to December 2018 were classified into the Korean Research Foundation.According to the criteria, they were classified and analyzed into subclasses. As a result, first, the research trends of academic disciplines by year tended to increase the participation of various academic disciplines in the atrium.The interests of the live atrium differed in the order of physical education.Second, in terms of research subjects, more researches attempted to identify active atria as a research topic than research suggesting a plan.Third, the trends of the research topics were in order to study academic definition of live atrium, to find out the relationship between live atrium and other disciplines, to propose ways to use them, and to develop programs.Fourth, by applying the live atrium to a dance program, we found the potential as a dance program for health promotion.It is expected that these findings will not only provide the basic data for the possibility of a health dance program integrated with various fields, but also contribute to the search for the direction of health dance program research.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.241-264
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• 2022

Bibliographic metadata can help researchers effectively utilize essential publications that they need and grasp academic trends of their own fields. With the manual creation of the metadata costly and time-consuming. it is nontrivial to effectively automatize the metadata construction using rule-based methods due to the immoderate variety of the article forms and styles according to publishers and academic societies. Therefore, this study proposes a two-step extraction process based on rules and deep neural networks for generating bibliographic metadata of scientific articlles to overcome the difficulties above. The extraction target areas in articles were identified by using a deep neural network-based model, and then the details in the areas were analyzed and sub-divided into relevant metadata elements. IThe proposed model also includes a model for generating reference summary information, which is able to separate the end of the text and the starting point of a reference, and to extract individual references by essential rule set, and to identify all the bibliographic items in each reference by a deep neural network. In addition, in order to confirm the possibility of a model that generates the bibliographic information of academic papers without pre- and post-processing, we conducted an in-depth comparative experiment with various settings and configurations. As a result of the experiment, the method proposed in this paper showed higher performance.

• The Mathematical Education
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• v.62 no.3
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• pp.435-455
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• 2023

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.

• KIEAE Journal
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• v.7 no.2
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• pp.77-85
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• 2007

Korean society expects to be changing into aged society more rapidly than any other countries due to low birthrate and increase in life expectancy. Increasing number of elderly and social problems of aging society have provoked increase in research on elderly environment. Elderly housing facilities and living conditions are significantly related to the quality of life for older persons. The purpose of this study is to systematically analyze empirical studies on elderly physical environments in Korea, find out research streaming and understand social backgrounds and to suggest future research problems. For this study, contents analysis was conducted. Articles of four academic peer reviewed journals published from 1986 to 2005 were units of analysis. Using a keyword through library database systems, the articles were systematically selected. As results, trends of research according to 4 periods were defined. Among them as major trends, expansion of the quantity, expansion to interior design features for older persons, more facility types for dependent elderly(assisted living facilities, facilities for elderly with dementia, long term care facilities) have appeared. This result showed some directions and implications on elderly facility planning and development.

• The Journal of Pediatrics of Korean Medicine
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• v.26 no.4
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• pp.32-37
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• 2012

Objectives: The purpose of this study was to obtain some understanding about Korean medicine treatment on language disorder in cerebral palsy for future practice and the research, from the clinical studies. Methods: The literature was searched using the database-China Academic Journals (CAJ). Clinical studies of Korean medicine treatment for language disorder in cerebral palsy, including Randomized controlled trial (RCT), case control study, case series, case report were analyzed. Results: Fifteen Clinical studies met our inclusion criteria; One case study and six case series, one non-randomized controlled trial and seven RCTs. Acupuncture treatment, especially Head acupuncture, was the major treatment for language disorder of cerebral palsy in clinical studies, as it was used in fourteen studies. Acupoint massage, tuina, and acupoint injection were employed as treatment methods in the studies. Acupuncture treatment was used for language disorder of cerebral palsy combined with language therapy and other rehabilitation treatment in many studies. The effectiveness in the treatment groups, regardless of treatment methods, was higher than that of control group in all RCT studies. Conclusions: The results of this study could be used in the practice and the future study about language disorder of cerebral palsy.