• International Journal of Advanced Culture Technology
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• 제12권2호
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• pp.221-226
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• 2024

This study used text mining, a big data analysis technique, to explore XR trends in South Korea. For this research, I utilized a big data platform called BigKinds. I collected data focusing on the keyword 'XR', spanning approximately 14 years from 2010 to 2024. The gathered data underwent a cleansing process and was analyzed in three ways: keyword trend analysis, relational analysis, and word cloud. The analysis identified the emergence and most active discussion periods of XR, with XR devices and manufacturers emerging as key keywords.

• 아동학회지
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• 제27권4호
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• pp.17-38
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• 2006

This analysis of trends in research on children's temperament published in Korean journals during the 25years dating from 1980 consisted of articles from 10 reliable journals related to child studies and analyzed for research frequency, contents, and methodology. Results showed that 51 research articles on children's temperament were published during this period, most of them in child studies and early childhood education/educare journals. The main content of research was the role of temperament in development. Most of the studies used methods categorized as quantitative and non-experimental; subjects were more than 100 children younger than school age with their mothers as adult subjects. Instruments validated in Korea and based on the individual approach and quantitative data analysis methods were used frequently.

• 대한한의학방제학회지
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• 제32권3호
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• pp.365-375
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• 2024

Objectives : Herbal formula consist of multiple herbs, which can potentially interact with conventional drugs. If these interactions are not properly understood, they may reduce treatment efficacy or cause unexpected side effects. Thus, this study collected and analyzed papers on herbal formula and conventional drug interactions from PubMed to analyze various research trends. Methods : To analyze research trends on herbal formula and drug interactions, we first created search queries using a dictionary of herbal formula terms and collected related papers from PubMed using the Entrez API. The PubTator API was applied to identify compound names in the abstracts, recognizing compounds registered in the DrugBank as conventional drugs. Sentences describing interactions between herbal formulas and drugs were extracted using pattern matching, and relevant papers were selected. Trends were then analyzed by year, country, major formulas, major drugs, and interaction networks. Results : Yearly analysis showed a gradual increase in paper counts with a significant rise after 2010. Country analysis revealed that China published the most papers (53), followed by Japan (19) and South Korea (8). formula analysis identified 'sosiho-tang' and 'siryung-tang' as the most frequently mentioned (7 times each). Drug analysis showed '5-fluorouracil', 'acetaminophen', 'entecavir', and 'streptozotocin' were the most frequently mentioned (4 times each). Network analysis revealed 'sosiho-tang and tolbutamide' and 'siryung-tang and prednisolone' as the most frequently, mentioned interactions (3 times each). Disease analysis indicated 'urogenital diseases' were the most discussed (32 mentions), Followed by 'pathological conditions, signs, and symptoms' and 'digestive system diseases' (25 mentions each). Conclusions : Analyzing research trends on herbal formula and conventional drug interactions provides basic data for subsequent research, aiming to reduce side effects and enhance treatment efficacy in clinical settings.

• 유통과학연구
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• 제21권7호
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• pp.41-50
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• 2023

Purpose: The purpose of the research is identified factors influencing the competitiveness of the copper industry in Kazakhstan. Research design, data and methodology: A few studies are dedicated to the analysis in developing countries, particularly Kazakhstan. The algorithm was chosen for research provision: statistical and comparative analysis, correlation, and regression analysis. The data of 1999-2021 obtained from the World Bank, Bureau of National Statistics, National Bank of Kazakhstan. Results: The obtained results demonstrate the trends in the development of the industry since 2000. The development of the copper industry is strongly influenced by the distribution and state of the business environment, economic situation, and trends in the global commodity markets. Conclusions: According to econometric modeling, there is a correlation between the profitability of the copper industry, GDP, copper prices, liquidity, and energy resource prices. Trends in global commodity and energy markets have a significant impact on the state of the industry. Further research should be conducted to include an analysis and forecast of internal factors that may affect the development of the industry, such as copper reserves, condition of fixed assets, government programs, etc. It is also important to examine the correlation with the trends in the development of the global green economy and the revival of the Chinese market.

• Genomics & Informatics
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• 제20권1호
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• pp.10.1-10.15
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• 2022

Human exposure to pollutants has been on the rise. Thus, researchers have been focused on understanding the effect of these compounds on human health, especially on the genetic information by using various tests, among them the somatic mutation and recombination tests (SMARTs). It is a sensitive and accurate method applicable to genotoxicity analysis. Here, a comprehensive bibliometric analysis of SMART assays in genotoxicity studies was performed to assess publication trends of this field. Data were extracted from the Web of Science database and analyzed by the bibliometric tools HistCite, Biblioshiny (RStudio), VOSViewer, and CiteSpace. Results have shown an increase in the last 10 years in terms of publication. A total of 392 records were published in 96 sources mainly from Brazil, Spain, and Turkey. Research collaboration networks between countries and authors were performed. Based on document co-citation, five large research clusters were identified and analyzed. The youngest research frontier emphasized on nanoparticles. With this study, how research trends evolve over years was demonstrated. Thus, international collaboration could be enhanced, and a promising field could be developed.

• 한국융합학회논문지
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• 제8권5호
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• pp.169-178
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• 2017

다양한 연구 분야에서, 광범위한 텍스트 분석을 이용한 연구 동향파악과 관련 패턴의 도출은 중요한 의미를 가진다. 본 연구에서는 키워드 네트워크 분석을 통해, 1997년부터 2016년까지의 항공관련 글로벌 연구 동향을 조사하였다. 이를 위해 스코퍼스 등재 학술지 논문 25,959편을 대상으로 키워드 네트워크 모델을 설정하고 중심성(연결, 매개) 분석을 수행하였다. 연구 결과는 항공관련 연구동향이 키워드 네트워크 분석을 통해 계량적으로 설명될 수 있음을 보여준다. 최근 20년간 항공관련 연구가 가장 활발히 이루어진 분야는 공학 분야와 사회과학 분야인 것으로 확인되었으며, 연결중심성이 높은 키워드들이 매개중심성 또한 높은 것으로 나타났다. 본 연구의 결과는 항공과 관련된 정책 수립 및 새로운 연구개발 주제를 탐색하는 자료로 활용될 수 있을 것으로 기대된다.

• 한국수학교육학회지시리즈A:수학교육
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• 제51권3호
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• pp.247-263
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• 2012

The purpose of this study was to analyze recent research trends of mathematics textbooks to provide implications for textbook research and development. For this purpose, 90 out of 1121 research papers published between 2006 and 2011 in seven prestigious domestic journals were selected. The papers dealing with only Korean mathematics textbooks were analyzed by school levels (i.e., elementary or secondary), mathematics content areas, analytic methods, and implications. The papers comparing our mathematics textbooks with foreign counterparts were analyzed by reasons for the comparison, school levels, subjects for analysis, and implications. The results of this study urge us to pay more attention to secondary mathematics textbooks, least studied content areas, and various but inconsistent analytic methods. This paper also suggests close connections between textbook analysis and textbook development.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2006년도 춘계학술발표대회 논문집
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• pp.244-249
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• 2006

Korean society is changing into aged society with the speed which has never happened by other countries before. This has been the consequence of low birthrate and Increase in life expectancy. However, such social problem result in many studies on elderly environment. The purpose of this study is to systematically analyze empirical studies on elderly environment in Korea, find out research streaming and understand social backgrounds. For this study, content analysis was conducted. Articles of 4 registered academic institute published from 1986 to 2005 were units of analysis. Using keyword through library database systems, the articles were systematically selected. As results, trends of research according to 4 periods were identified. Among them as major trends, expansion of the quantity, expansion to Intoner design, more facilities for dependent elderly appeared. This result showed implications on interior design education and research for aging friendly design.

• 산업경영시스템학회지
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• 제47권3호
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• pp.114-126
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• 2024

This study was conducted for the purpose of systematically identifying research trends in technology transfer and commercialization and setting future research directions in academia. Over a total of 35 years (1987-2021), 146 papers related to technology transfer and commercialization were analyzed for research period, research area, research methods, and research subjects. The research results are as follows. First, the largest number of papers (55) was published during the Park Geun-hye administration. Second, among major academic journals, only the 'Korea Society for Technology Innovation' had a relatively high proportion of research. Third, quantitative research (38%) was the most widely applied research method. Fourth, the most frequent research target was institutions/systems (44%). Additionally, the results of frequency analysis of 729 keywords were presented in a word cloud. This study is significant as the most current study that attempted bibliographic analysis of technology transfer and commercialization research papers over the past 35 years.

• Journal of Forest and Environmental Science
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• 제34권1호
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• pp.46-49
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• 2018

This study aims to explore the knowledge structure of the leopard cat (Prionailurus bengalensis) research during the period of 1952-2017. Data was collected from Google Scholar and Research Information Service System (RISS), and a total of 482 author keywords from 125 papers from peer-reviewed scholarly journals were retrieved. Co-word analysis was applied to examine patterns and trends in the leopard cat research by measuring the association strengths of the author keywords along with the descriptive analysis of the keywords. The result shows that the most commonly used keywords in leopard cat research were Felidae, Iriomte cat, and camera trap except for its English and scientific name, and camera traps became a frequent keyword since 2005. Co-word analysis also reveals that leopard cat research has been actively conducted in Southeast Asia in conjugation with studying other carnivores using the camera traps. Through the understanding of the patterns and trends, the finding of this study could provide an opportunity for the exploration of neglected areas in the leopard cat research and conservation.