• The Korean Journal of Community Living Science
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• v.25 no.4
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• pp.449-460
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• 2014

This study examines research trends in Korean journal articles covering the role of fathers with young children. For this study, 45 research papers published from 2000 to present were analyzed according to research periods, research topics, research types, data collection methods, and data analysis methods. First, the largest number of papers was written since 2010. Second, the largest number of papers in terms of research topics focused on the father's child-rearing involvement and behavior. Third the most frequently used research type was the quantitative study. Fourth, the most frequently used data collection method was the questionnaire method. Fifth, the most frequently used data analysis method was the frequency and mean method. Future research should consider broader age groups of father and children by using various types of data collection and analysis methods. In addition, it should be useful to scrutinize general research trends in Korean journal articles highlighting the importance of roles of fathers with young children in a rapidly changing society.

• Journal of the Korean Society for Precision Engineering
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• v.27 no.8
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• pp.35-41
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• 2010

White Etching Layer(WEL) is a phenomenon that occurs on the surface of rail due to wheel/rail interactions such as excessive braking and acceleration. Rolling Contact Fatigue(RCF) cracks on the surface of rail have been found to be associated with WEL. In this study, we have investigated RCF damages of white etching layer using twin disc testing and fatigue analysis. These tests consist of wheel flat tests and rolling contact fatigue tests. WEL has been simulated by wheel flat test. It has been founded that the WEL with a bright featureless contrast is formed on the surface of specimen by etching. Rolling contact fatigue test was conducted by using flat specimens with the WEL generated by the wheel flat test. It has been observed that two types of cracks occur within the specimen. The contact fatigue test was simulated in 2D elastic-plastic FE simulations. Based on loading cycles obtained from the finite element analysis, the fatigue life analysis according to the thickness variation of WEL was carried out. The longest fatigue life was observed from the thickness of 20um.

• International Journal of Contents
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• v.11 no.2
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• pp.63-68
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• 2015

A citation analysis utilizes the relations among citations and is the most popular bibliometric method. This analysis is based on 1) the evaluation by paper, journal and researcher of the research output, 2) the identification of emerging research topics, 3) the production of a map of the intellectual structure of the research domain and 4) various services for academic information. However, this approach has a limitation in that a citation is treated in a very simple manner, even though the purpose of citation can vary greatly. To address this problem, new approaches have been studied that take into account the citation context. This research separates the citations according to the citation functions and tries to conduct an analysis according to the newly classified citations. Furthermore, research on the citation summarization and visualization based on both the citation context and the citation function of the citations was also attempted. However, since there are very few studies related to citation context in South Korea, more research and development is needed in this area. This study analyzes the status of the research in terms of the citation context. For this, we utilized social network analysis methods.

• Korean Journal of Oriental Medicine
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• v.16 no.1
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• pp.93-99
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• 2010

When researchers plan R&D projects, they usually use patent map or paper map for the objective decision-making, but in traditional korean medicine field, domestic patents and papers have been mainly proposed as results of many R&D projects, while most of patent or paper map tools support international patents and SCI papers, respectively. Therefore, as an alternative one KIOM constructed the project map which can provide the technology landscape for R&D project information in traditional korean medicine field. But the functions of the system is limited to the search and analysis with chart. So sophisticated analysis results are hard to get from the existing system. This research's goal is to upgrade the web based project map analysis system to provide researcher rich functionality and advanced analysis tools.

• Child Health Nursing Research
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• v.27 no.3
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• pp.201-210
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• 2021

Purpose: This study analyzed research trends related to childhood and adolescent cancer survivors (CACS) using word co-occurrence network analysis on studies registered in the Korean Citation Index (KCI). Methods: This word co-occurrence network analysis study explored major research trends by constructing a network based on relationships between keywords (semantic morphemes) in the abstracts of published articles. Research articles published in the KCI over the past 10 years were collected using the Biblio Data Collector tool included in the NetMiner Program (version 4), using "cancer survivors", "adolescent", and "child" as the main search terms. After pre-processing, analyses were conducted on centrality (degree and eigenvector), cohesion (community), and topic modeling. Results: For centrality, the top 10 keywords included "treatment", "factor", "intervention", "group", "radiotherapy", "health", "risk", "measurement", "outcome", and "quality of life". In terms of cohesion and topic analysis, three categories were identified as the major research trends: "treatment and complications", "adaptation and support needs", and "management and quality of life". Conclusion: The keywords from the three main categories reflected interdisciplinary identification. Many studies on adaptation and support needs were identified in our analysis of nursing literature. Further research on managing and evaluating the quality of life among CACS must also be conducted.

• Ocean and Polar Research
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• v.41 no.2
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• pp.107-120
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• 2019

The frequency analysis of scientific terms using bibliographic information is a simple concept, but as relevant data become more widespread, manual analysis of all data is practically impossible or only possible to a very limited extent. In addition, as the scale of oceanographic research has expanded to become much more comprehensive and widespread, the allocation of research resources on various topics has become an important issue. In this study, the frequency analysis of scientific terms was performed using text mining. The data used in the analysis is a general-purpose scholarship database, totaling 2,878 articles. Hypoxia, which is an important issue in the marine environment, was selected as a research field and the frequencies of related words were analyzed. The most frequently used words were 'Organic matter', 'Bottom water', and 'Dead zone' and specific areas showed high frequency. The results of this research can be used as a basis for the allocation of research resources to the frequency of use of related terms in specific fields when planning a large research project represented by single word.

• Food Science of Animal Resources
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• v.43 no.3
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• pp.441-453
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• 2023

The objective of this study was to investigate the physicochemical and microbiological characteristics of round of Hanwoo by vacuum packaging film materials, polyvinylidene chloride (PVDC) and ethylene vinyl alcohol (EVOH). The packaged beef samples were stored in refrigerated conditions (2±1℃) for 12 weeks. Physicochemical analysis with pH, surface color, thiobarbituric acid reactive substances (TBARS) values, and volatile basic nitrogen (VBN) values and microbiological analysis with aerobic plate count (APC) and metagenomic analysis of packaged beef samples were performed. The pH and surface color did not change substantially during the 12 weeks and EVOH-packaged beef tended to be lower than those of PVDC-packaged beef. PVDC- and EVOH-packaged samples showed low TBARS and VBN values below standard limits. APC did not exceed 7 Log CFU/g for both samples during storage. In metagenomic analysis, Firmicutes and Lactobacillaceae were dominant phylum and family of the PVDC- and EVOH-packaged beef. In both packaged samples, Dellaglioa algida was the dominant species during storage, with the notable difference being the presence of Lactococcus piscium. Therefore, this study provided the information on the quality of vacuum-packaged beef according to different vacuum films for long-term refrigerated storage.

• Journal of Acupuncture Research
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• v.40 no.4
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• pp.293-307
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• 2023

This study uses bibliometric methods to analyze publications regarding the use of acupuncture in osteoarthritis over the past 20 years and presents an overview of global research trends. Publications related to acupuncture in osteoarthritis from 2003 to 2022 were retrieved from the Web of Science Core Collection Database. An analysis of the extracted records was conducted according to their publication year, research area, journal title, country, organization, author, and keywords. The VOSviewer program was used to visualize the research trends on acupuncture in osteoarthritis. An analysis of 380 articles indicated a consistent increase in the use of acupuncture for osteoarthritis treatment over the past 20 years. Many articles have been published in research areas such as "integrative complementary medicine" and "general internal medicine." The most prolific journal was Evidence-Based Complementary and Alternative Medicine. In terms of article publication, the most productive country and research organization were China and the Beijing University of Chinese Medicine, respectively. The most frequently occurring keywords were "acupuncture," "knee osteoarthritis," and "pain." This study used a bibliometric analysis to provide an overview of global research trends on acupuncture in osteoarthritis. These findings may suggest the future direction of research on the treatment of acupuncture in osteoarthritis.

• The Journal of Pediatrics of Korean Medicine
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• v.38 no.1
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• pp.10-22
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• 2024

Objectives This bibliometric analysis aimed to determine the status of pediatric acupuncture research. Methods Relevant bibliographic information up to January 9, 2024, was collected through searches in the Web of Science Core Collection. Bibliographic information was preprocessed for data analysis and analyzed using VOSviewer software. Network maps of the authors and their affiliated institutions in the included studies were constructed and visualized, and clusters for each major node were identified. In addition, the latest research keywords were visualized using an overlay visualization function. Results The field of pediatric acupuncture research has shown a 20.5-fold quantitative increase in the number of publications over the past 30 years (1991 - 2023). In the field of pediatric acupuncture research, the United States has the highest productivity and influence, and South Korea ranked 7th in productivity and 10th in influence. Through keyword analysis in the field of pediatric acupuncture research, four clusters were identified. Pain management, use in pediatric oncology, and use in postoperative management were identified as important clinical topics. There is a lack of exchange among researchers in the field of pediatric acupuncture. Conclusions Pediatric acupuncture research continues to show quantitative growth and western countries have shown high productivity and influence in this field. In this study, the major keywords in the field of pediatric acupuncture research were identified, and the results can be used to establish the research direction of the Korean medicine community.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.11-25
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• 2024

This study aims to analyze research trends in digital twin focusing on Germany, the US, and Korea. In Elsevier's Scopus, we collected 4,657 papers about digital twin published in from 2019 to 2023. Keyword frequency and centrality analysis were conducted on the abstracts of the collected papers. Through the obtained keyword frequencies, we tried to identify keywords with high frequency of occurrence and through centrality analysis, we tried to identify central research keywords for each country. In each country, 'digital_twin', 'machine_learning', and 'iot' appeared as research keywords with the highest interest. As a result of the centrality analysis, research on digital twin, simulation, cyber physical system, Internet of Things, artificial intelligence, and smart manufacturing was conducted as research with high centrality in each country. The implication for Korea is that research on virtual reality, digital transformation, reinforcement learning, industrial Internet of Things, robotics, and data analysis appears to have been conducted with low centrality, and intensive research in related areas appears to be necessary.