• Title/Summary/Keyword: Topic Trends

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Analysis of Research Trends on Public Broadcasting Governance: Focusing on Korean Studies since 2000 (디지털 미디어 환경에서의 공영방송 지배구조에 대한 국내 연구동향 분석: 2000년 이후를 중심으로)

  • Hong, Won-Sik;Kim, Chang-Suk
    • Informatization Policy
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    • v.29 no.4
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    • pp.3-25
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    • 2022
  • The governance structure of public broadcasters is the hottest topic in domestic media policy. This study examines the flow of discussions by period by synthesizing the research literature on the governance structure of domestic public broadcasting since 2000. As a result, active discussion on the governance structure of public broadcasting was confirmed to have appeared following the conservative governments after 2008, derived from the "crisis theory of public broadcasting." In addition, the discussion was conducted centered on the public values of public broadcasting and direction of system improvement, political independence of public broadcasting, composition of the board of directors, and presidential election system. This study suggested that future discussions on the governance structure of public broadcasting should expand the existing discussion of political independence to encompass the values, responsibilities, and systems of public broadcasting that presuppose citizen participation.

Research Trend Analysis of Research Published in the Journal of Dental Hygiene Science from 2011 to 2020

  • Lee, Sun-Mi;Seong, Mi-Gyung;Moon, Hee-Jung;Son, Jung-Hui
    • Journal of dental hygiene science
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    • v.22 no.3
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    • pp.131-138
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    • 2022
  • Background: The purpose of this study was to analyze research trends in articles published in the Journal of Dental Hygiene Science over the past decade. Methods: From 2011 to 2020, 653 studies were reviewed using a keyword analysis. Contents such as academic classification, research type, research method, research topic, data collection method, data analysis method, and financial support were analyzed. Results: Analysis by school type showed 34.2% of clinical dental hygiene studies, 23.3% of educational dental hygiene studies, 22.8% of basic dental hygiene studies, 10.0% of other field studies, and 9.8% of social dental hygiene studies. By type of study, quantitative studies were the most common at 69.5%. Regarding data collection methods, 45.8% of the studies that used surveys were the most common. The subjects of the study were 20.1% experimental studies, 15.6% general adults, and 15.0% dental hygienists. Regarding the data analysis method, 49.3% of the studies that conducted frequency analysis were the most common. The total number of keywords was 2,390, with 107 (4.48%) being 'dental hygienists.' Next, oral health was the most common with 67 (2.80%) articles, followed by 31 for the elderly (1.30%), 25 for dental hygiene students (1.05%), and 24 for stress (1.00%). Conclusion: For academic development of dental hygiene, it is necessary to explore the diversity of academic topics based on the results of this study. It is necessary to find a way to spread the research results so that the published research can be used for the academic development of dental hygiene.

Exploring the Core Keywords of the Secondary School Home Economics Teacher Selection Test: A Mixed Method of Content and Text Network Analyses (중등학교 가정과교사 임용시험의 핵심 키워드 탐색: 내용 분석과 텍스트 네트워크 분석을 중심으로)

  • Mi Jeong, Park;Ju, Han
    • Human Ecology Research
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    • v.60 no.4
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    • pp.625-643
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    • 2022
  • The purpose of this study was to explore the trends and core keywords of the secondary school home economics teacher selection test using content analysis and text network analysis. The sample comprised texts of the secondary school home economics teacher 1st selection test for the 2017-2022 school years. Determination of frequency of occurrence, generation of word clouds, centrality analysis, and topic modeling were performed using NetMiner 4.4. The key results were as follows. First, content analysis revealed that the number of questions and scores for each subject (field) has remained constant since 2020, unlike before 2020. In terms of subjects, most questions focused on 'theory of home economics education', and among the evaluation content elements, the highest percentage of questions asked was for 'home economics teaching·learning methods and practice'. Second, the network of the secondary school home economics teacher selection test covering the 2017-2022 school years has an extremely weak density. For the 2017-2019 school years, 'learning', 'evaluation', 'instruction', and 'method' appeared as important keywords, and 7 topics were extracted. For the 2020-2022 school years, 'evaluation', 'class', 'learning', 'cycle', and 'model' were influential keywords, and five topics were extracted. This study is meaningful in that it attempted a new research method combining content analysis and text network analysis and prepared basic data for the revision of the evaluation area and evaluation content elements of the secondary school home economics teacher selection test.

A Survey on Open Source based Large Language Models (오픈 소스 기반의 거대 언어 모델 연구 동향: 서베이)

  • Ha-Young Joo;Hyeontaek Oh;Jinhong Yang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.4
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    • pp.193-202
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    • 2023
  • In recent years, the outstanding performance of large language models (LLMs) trained on extensive datasets has become a hot topic. Since studies on LLMs are available on open-source approaches, the ecosystem is expanding rapidly. Models that are task-specific, lightweight, and high-performing are being actively disseminated using additional training techniques using pre-trained LLMs as foundation models. On the other hand, the performance of LLMs for Korean is subpar because English comprises a significant proportion of the training dataset of existing LLMs. Therefore, research is being carried out on Korean-specific LLMs that allow for further learning with Korean language data. This paper identifies trends of open source based LLMs and introduces research on Korean specific large language models; moreover, the applications and limitations of large language models are described.

The Review of Interventions to Improve the Swallowing Function in the Elderly

  • Na-Yeon Tak;Hanna Gu;Hyoung-Joo Kim;Jun-Yeong Kwon;Hee-Jung Lim
    • Journal of dental hygiene science
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    • v.23 no.2
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    • pp.69-87
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    • 2023
  • Background: Swallowing function deterioration is a common problem experienced by older adults worldwide. Many studies have been conducted to improve swallowing function in older adults; however, due to differences in intervention methods and study designs, it is difficult to draw a common conclusion. This study aimed to analyze trends and intervention methods in studies of swallowing function intervention for older adults conducted from 2010 to 2022, to establish a systematic approach for developing interventions to improve swallowing function in older adults and to provide evidence for this approach. Methods: Literature research was conducted for studies published between 2010 and 2022 that applied to swallow function interventions to adults aged 60 years or older. Databases including PubMed, Medline, RISS, Science On, KISS, and KCI were used. From a total of 1,164 articles searched using keywords, 20 articles were selected for final analysis. Results: The number of published articles steadily increased over time, and the intervention period was most commonly 6 or 8 weeks. The types of interventions included focused exercises to improve oral muscle strength in 12 articles and programs incorporating education, practice, and expert management in 8 articles. Among the focused exercises, tongue-strengthening exercises were most common in 4 articles. The evaluation variables for intervention effects were muscle strength evaluation, oral function evaluation, quality of life, and oral health and hygiene status. Muscle strength and oral function evaluations were statistically significant in focused exercise interventions, while the quality of life and oral health and hygiene status was significant in program interventions. Conclusion: This literature review is meaningful as a study that can be used to select the intervention period and program contents when planning an elderly swallowing intervention program.

A Study on the General Patterns of Folksonomy Tag for the University Libraries (국내 도서관 폭소노미 태그의 일반적 패턴 연구)

  • Lee, Sung-Sook;Jeong, Seo-Young
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.20 no.1
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    • pp.137-150
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    • 2009
  • This study has introduced folksonomy to general patterns of folksonomy tags for the university libraries that have practically implemented Library 2.0. From the results, we can see that average about 1.35 tag is used for one content. Typical pattern of the tags follow a power function that frequency of use decreases as No. of uses increases, 79.51% of tags are expressing topic of contents, and 84.61% of tags are tag of social motivation. The results of analysis on increase/decrease rate for tags divided into 4 quarters said that A university library has big differences from quarters while B university library has similar data between quarters. The users have used average 5.25 tags. Trends of the users can be divided into 3 groups according to tagging patterns of the users.

Issues and Trends Related to Artificial Intelligence in Research Ethics (연구윤리에서 인공지능 관련 이슈와 동향)

  • Sun-Hee Lee
    • Health Policy and Management
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    • v.34 no.2
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    • pp.103-105
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    • 2024
  • Artificial intelligence (AI) technology is rapidly spreading across various industries. Accordingly, interest in ethical issues arising from the use of AI is also increasing. This is particularly true in the healthcare sector, where AI-related ethical issues are a significant topic due to its focus on health and life. Hence, this issue aims to examine the ethical concerns when using AI tools during research and publication processes. One of the key concerns is the potential for unintended plagiarism when researchers use AI tools for tasks such as translation, citation, and editing. Currently, as AI is not given authorship, the researcher is held accountable for any ethical problems arising from using AI tools. Researchers are advised to specify which AI tools were used and how they were employed in their research papers. As more cases of ethical issues related to AI tools accumulate, it is expected that various guidelines will be developed. Therefore, researchers should stay informed about global consensus and guidelines regarding the use of AI tools in the research and publication process.

Factors Related to Emotional Leadership in Nurses Manager: Systematic Review and Meta-Analysis (간호관리자의 감성리더십 관련 변인: 체계적 문헌 고찰 및 메타분석)

  • Jang, Se Young;Park, Chan Mi;Yang, Eun Hee
    • Journal of Korean Academy of Nursing
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    • v.54 no.2
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    • pp.119-138
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    • 2024
  • Purpose: This study aimed to identify research trends related to emotional leadership among nurse managers by conducting a systematic literature review and meta-analysis. This study sought to derive insights that could contribute to improving emotional leadership in nursing practice. Methods: A systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and Meta-Analysis Of Observational Studies in Epidemiology (MOOSE) guidelines. Databases including PubMed, Cumulative Index to Nursing and Allied Health Literature, Scopus, Web of Science, Research Information Sharing Service, Koreanstudies Information Service System, Korean Medical Database, KoreaMed, ScienceON, and DBpia were searched to obtain papers published in English and Korean. Literature searches and screenings were conducted for the period December 1, 2023 to December 17, 2023. The effect size correlation (ESr) was calculated for each variable and the meta-analysis was performed using the statistical software SPSS 29.0, R 4.3.1. Results: Twenty-five (four personal, six job, and fifteen organizational) relevant variables were identified through the systematic review. The results of the meta-analysis showed that the total overall effect size was ESr = .33. Job satisfaction (ESr = .40) and leader-member exchange (ESr = .75) had the largest effect size among the job and organizational-related factors. Conclusion: Emotional leadership helps promote positive changes within organizations, improves organizational effectiveness, and increases member engagement and satisfaction. Therefore, it is considered an important strategic factor in improving organizational performance.

An Analysis of Domestic Research Trend on Research Data Using Keyword Network Analysis (키워드 네트워크 분석을 이용한 연구데이터 관련 국내 연구 동향 분석)

  • Sangwoo Han
    • Journal of Korean Library and Information Science Society
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    • v.54 no.4
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    • pp.393-414
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    • 2023
  • The goal of this study is to investigate domestic research trend on research data study. To achieve this goal, articles related research data topic were collected from RISS. After data cleansing, 134 author keywords were extracted from a total of 58 articles and keyword network analysis was performed. As a result, first, the number of studies related to research data in Korea is still only 58, so it was found that many related studies need to be conducted in the future. Second, most research fields related to research data were focused on library and information science among complex studies. Third, as a result of frequency analysis of author keywords related to research data, 'research data management', 'research data sharing', 'data repository', and 'open science' were analyzed as major frequent keywords, so research data-related research focuses on the above keywords. The keyword network analysis results also showed that high-frequency keywords occupy a central position in degree centrality and betweenness centrality and are located as core keywords in related studies. Through the results of this study, we were able to identify trends related to recent research data and identify areas that require intensive research in the future.

Scientific Publications on Thyroid Ultrasound between 2001 and 2020: Differences in Research Characteristics by Disciplines

  • Won Chul Shin;Chae Woon Lee;Jiyeon Ha;Kyoung Ja Lim;Young Lan Seo;Eun Joo Yun;Dae Young Yoon
    • Korean Journal of Radiology
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    • v.23 no.8
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    • pp.835-845
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    • 2022
  • Objective: To analyze the characteristics and trends of scientific publications on thyroid ultrasound (US) from 2001 to 2020, specifically examining the differences among disciplines. Materials and Methods: The MEDLINE database was searched for scientific articles on thyroid US published between 2001 and 2020 using the PubMed online service. The evaluated parameters included year of publication, type of document, topic, funding, first author's specialty, journal name, subject category, impact factor, and quartile ranking of the publishing journal, country, and language. Relationships between the first author's specialty (radiology, internal medicine, surgery, otorhinolaryngology, and miscellaneous) and other parameters were analyzed. Results: A total of 2917 thyroid US publications were published between 2001 and 2020, which followed an exponential growth pattern, with an annual growth rate of 11.6%. Radiology produced the most publications (n = 1290, 44.2%), followed by internal medicine (n = 716, 24.5%), surgery (n = 409, 14.0%), and otorhinolaryngology (n = 171, 5.9%). Otorhinolaryngology and internal medicine published significantly more case reports than radiology (p < 0.001, each). Radiology published a significantly higher proportion of publications on imaging diagnosis (p < 0.001 for all) and a significantly lower proportion of publications on biopsy (p < 0.001 for all) than the other disciplines. Publications produced by radiology authors were less frequently published in Q1 journals than those from other disciplines (p < 0.005 for internal medicine and miscellaneous disciplines and < 0.01 for surgery and otorhinolaryngology). China contributed the greatest number of publications (n = 622, 21.3%), followed by South Korea (n = 478, 16.4%) and the United States (n = 468, 16.0%). Conclusion: Radiology produced the most publications for thyroid US than any other discipline. Radiology authors published more notably on imaging diagnosis compared to other topics and in journals with lower impact factors compared to authors in other disciplines.