The advent of big data has brought about the need for analytics. Natural language processing (NLP), a field of big data, has received a lot of attention. Topic modeling among NLP is widely applied to identify key topics in various academic journals. The Korean Society of Industrial and Systems Engineering (KSIE) has published academic journals since 1978. To enhance its status, it is imperative to recognize the diversity of research domains. We have already discovered eight major research topics for papers published by KSIE from 1978 to 1999. As a follow-up study, we aim to identify major topics of research papers published in KSIE from 2000 to 2022. We performed topic modeling on 1,742 research papers during this period by using LDA and BERTopic which has recently attracted attention. BERTopic outperformed LDA by providing a set of coherent topic keywords that can effectively distinguish 36 topics found out this study. In terms of visualization techniques, pyLDAvis presented better two-dimensional scatter plots for the intertopic distance map than BERTopic. However, BERTopic provided much more diverse visualization methods to explore the relevance of 36 topics. BERTopic was also able to classify hot and cold topics by presenting ‘topic over time’ graphs that can identify topic trends over time.

This study investigated the trend of research on ‘Food science and Nutrition’ in previously published papers in the Journal of Korean Society of Food Culture (JKSFC) from 2000 to 2021. Total number of published papers in this category in the JKSFC was 693 which we classified into 7 main categories and 40 subcategories. Of these, 256 articles were on ‘experimental cooking’ which was the most studied field among 7 main categories. There was a total of 19 published papers under the category of ‘microbiology and fermentation’. A total of 133 articles were published on ‘functional foods’ and provided essential data for discovering new materials under the theme of various physiological active functions of food materials. Furthermore, 107 articles were included in ‘food processing and storage’, which provided integrated knowledge of economy, stability and practicality based on various technologies. A total of 144 articles was included in the category of ‘nutrition’. Under the category of ‘nutrition’, the most actively studied topic was ‘eating behaviors and dietary habits,’ and the trending topic was ‘use of healthcare big data.’ In conclusion, this review would provide trends of various categories of food science and nutrition area for recent 21 years and suggest directions for future research.

This study examines the trend of research on food and culture in papers published in the Journal of The Korean Society of Food Culture from 1986 to 2020. The journals published a total of 329 papers, which we classified into 5 main categories and 13 middle categories. Of these, 204 articles were on “Korean traditional food culture.” The most studied topic in the entire period was “Perception of Koreans towards traditional food, preference, satisfaction, and usage.” A total of 76 studies related to “Korean contemporary food culture.” The most advanced topic researched concerned “Recognition and attitude”; these studies were consistently carried out throughout the research period. The main classification of “World food culture” encompassed 32 studies, with major research focused on “World's Modern Food Culture” and the most advanced being “Comparison of Food Cultures of Foreign and Korean Food Cultures.” All studies were consistently spaced out during the study period. These studies provide an integrated knowledge in the field of food and culture and can be used as a basic material for related research in the future.

For any research study, in order to achieve the researcher’s intended purpose, the depth of research is added, and the area of the subject is expanded by clearly defining the scope and objective. The study was undertaken to analyze the bibliographic data of 254 papers in the field of foodservice and restaurant published in the Journal of the Korean Society of Food Culture from 2002 to 2021. The study was divided into two periods: 2002 to 2011, and 2012 to 2021. Research topics were derived and research trends according to temporal changes were confirmed through analysis of keyword networks by period. In addition, analyzing the keyword network of simultaneous appearance of “foodservice” and “restaurant”, the research topics were compared and analyzed in relation to which keywords were expanded by period. Our analysis revealed that the research topics were mostly studied for satisfaction and nutrition. Additionally, they were classified into procurement, Korean food before employee menu, marketing, restaurant industry, and quality. In the period from 2002 to 2011, it was confirmed that studies encompassed a wide range of research topics, focusing on foodservice and restaurant; in the second period from 2012 to 2021, the research topics were more classified and subdivided.

Purpose: This study aimed to identify research trends by applying the scoping studies method to articles published from the establishment of the Korean Society for Nursing Simulation in 2011 to June 2021, and to suggest the direction for future research. Method: A total of 73 articles were reviewed by applying the six steps and recommendations for scoping studies as suggested by Arksey and O'Malley. Results: Focusing on the subjects, research topics were classified comprehensively into the experience of nursing students, nurses, professors, and office workers. As a result of analyzing the research process characteristics, practical teaching and learning using simulation technology resources were conducted during most of the research, and a systematic curriculum for learning promotion was devised and applied. Furthermore, nursing performance ability was evaluated, learning situation was identified, and simulation education situation and necessity of clinical field were identified. The keywords “applied technology,” “teaching-learning method,” “environment,” “cognition,” “attitude,” “affect,” “patient status,” “nursing,” and “nursing performance” were identified as eight categories. Conclusion: The post-coronavirus era has provided an opportunity to expand the scope of Korean nursing simulation research, which is going to further contribute to nursing development.

Topic modeling has been receiving much attention in academic disciplines in recent years. Topic modeling is one of the applications in machine learning and natural language processing. It is a statistical modeling procedure to discover topics in the collection of documents. Recently, there have been many attempts to find out topics in diverse fields of academic research. Although the first Department of Industrial Engineering (I.E.) was established in Hanyang university in 1958, Korean Institute of Industrial Engineers (KIIE) which is truly the most academic society was first founded to contribute to research for I.E. and promote industrial techniques in 1974. Korean Society of Industrial and Systems Engineering (KSIE) was established four years later. However, the research topics for KSIE journal have not been deeply examined up until now. Using topic modeling algorithms, we cautiously aim to detect the research topics of KSIE journal for the first half of the society history, from 1978 to 1999. We made use of titles and abstracts in research papers to find out topics in KSIE journal by conducting four algorithms, LSA, HDP, LDA, and LDA Mallet. Topic analysis results obtained by the algorithms were compared. We tried to show the whole procedure of topic analysis in detail for further practical use in future. We employed visualization techniques by using analysis result obtained from LDA. As a result of thorough analysis of topic modeling, eight major research topics were discovered including Production/Logistics/Inventory, Reliability, Quality, Probability/Statistics, Management Engineering/Industry, Engineering Economy, Human Factor/Safety/Computer/Information Technology, and Heuristics/Optimization.

이 연구의 목적은 한국코칭학회가 발간하는 코칭연구 학술지 논문의 연구 동 향을 파악하여 향후 코칭연구의 시사점을 제공하는 것이다. 연구 방법은 학술지 코칭연구를 2008년부터 2020년까지 13년간 발행된 논문 224편을 분석 틀에 따라 분석하였다. 연구 결과는 다음과 같다. 첫째, 연구자 2명이 투고한 논문이 120명(54%)으로 가장 많았다. 둘째, 연구 자 소속의 경우 전체 395명 중 학교가 356명(90%)이다. 기업체, 공공기관, 민간 연구소에서 투고한 논문은 전체 10% 정도이다. 셋째, 양적연구가 101편(45%)으 로 가장 많았으며, 실천연구 59편(26%), 질적연구 13편(6%)으로 나타났다. 넷째, 연구 대상별 현황 분석 결과 성인이 122편(54%)으로 가장 많았다. 다섯째, 다른 분야의 논문이 91편(41%), 코칭 이론과 실천 83편(37%), 비즈니스 13편 (6%), 학습 12편(5%), 부모 10편 (4%), 라이프 6편(3%), 청소년 4편(2%), 커리어 3편(1%) 순으로 나타났다. 여섯째, 코칭 적용 분야에서 코칭 이론과 실천이 많은 부분은 고무적이다. 코칭이 학문적으로 정착하는데 필요한 이론적인 논문들과 코칭을 현실 상황에 적용하기 위한 다양한 프로그램 개발과 코칭의 효과성 적용과 관련된 논문들이 많이 등장한 것은 코칭연구가 확대되고 심화된 측면이다. 그러나 코칭 적용 분야를 보면 비즈니스, 개인 라이프, 스포츠, 임원, 커리어, 크리스천, 가족, 부모, 청소년, 학습 등 다양하게 연구가 되지 못한 부분이 아쉽다. 향후 코칭 연구에서 코칭을 다양한 분야에서 적용한 논문들이 많이 나오기를 기대해 본다.

우리나라의 천적 연구는 1995년부터 본격적으로 추진되었다. 25여 년이 지난 지금 1990년부터 2020년까지 한국응용곤충학회지에 발표 된 논문은 약 130편으로 전체 약 1,550편의 8.4%가 천적에 관한 논문이었다. 이들 논문 중에는 1990년대에는 천적을 탐색하여 생물적 특성 연구에 관한 논문의 비율이 높았고, 2010년대에는 개발된 천적을 농가 현장에 적용하는 논문의 비율이 높았다. 이러한 연구의 결과로 국내 토착 천적이 24종, 도입 천적이 13종이 개발되어 총 37종의 우수 천적이 개발되었다. 또한 개발된 천적이 현장에 활용될 수 있도록 천적 활용 기술서 및 매 뉴얼을 약 28종 이상 개발되었다. 이처럼 지금까지 천적 탐색, 생물적 특성 연구, 및 생산·이용 기술 측면에서 많은 성과가 있었으나 앞으로 추진 하여야 할 과제도 많이 남아 있다. 우리나라 농작물 재배상황에 맞는 우수 천적을 탐색하거나 도입하는 연구, 비용을 절감할 수 있는 연중 대량생산 기술, 천적의 생산 및 유통 과정에 품질을 유지할 수 있는 기술, 및 천적과 저독성 작물보호제를 조화롭게 사용할 수 있는 기술 개발 등이 필요할 것으로 생각된다.

목적 : 본 연구는 대한작업치료학회지에 게재된 연구의 키워드를 분석대상으로 그 관계를 분석하여 작업치료 분야의 연구동향을 알아보는 데 목적이 있다. 연구방법 : 분석 대상은 대한작업치료학회지 1993년 창간호부터 2019년까지 게재된 총 721편의 논문이 며, 논문의 키워드를 분석 단위로 키워드 네트워크 분석을 실시하였고, 네트워크 분포의 지표로 밀도, 포괄성, 고립정도를 분석하였고, 중심성 지표로 연결 중심성, 매개 중심성, 위세 중심성을 분석하였다. 분석 기간은 1단계(1993-1999), 2단계(2000-2009), 3단계(2010-2019)로 10년 단위로 구분하여 분석하였다. 결과 : 분석 결과 중복 포함된 키워드는 총 2,835개, 독립적 개별 키워드는 총 1,453개로 나타났다. 네트 워크 분포 분석결과 밀도는 .182, 포괄성은 100%로 나타났으며, 고립된 노드는 나타나지 않았다. 중심 성 분석결과 연결 중심성이 높은 상위 키워드는 1단계 뇌졸중, 일상생활활동, 손기능, 뇌성마비, FIM, 2 단계 뇌졸중, 일상생활활동, 작업치료, 상지기능, 강제유도운동치료, 3단계 작업치료, 뇌졸중, 체계적 고 찰, 참여, 노인 순으로 나타났다. 매개 중심성이 높은 상위 키워드는 1단계 뇌졸중, 손기능, 스트레스, 뇌 성마비, 발달장애, 2단계 뇌졸중, 일상생활활동, 작업치료, 치매, 뇌성마비, 3단계 작업치료, 뇌졸중, 체계적 고찰, 인지기능, 참여 순서로 나타났다. 위세 중심성이 높은 상위 키워드는 1단계 그룹치료, 양육자. 정신사회적발달, 애착, 반응성 애착장애, 2단계 신뢰도, 타당도, 평가, 뇌손상, 뇌졸중, 3단계 신뢰도, 타당도, 참여, 우울, 인지기능 순으로 나타났다. 결론 : 본 연구는 키워드 네트워크 분석을 활용하여 작업치료 분야의 연구동향을 전체적으로 파악하였다는 것에 학문적 의의를 지니며, 이를 통해 작업치료 분야에 대한 이해와 연구 동향과 주제를 파악하는 기초 자료로 활용할 수 있을 것이다.

Purpose: This study was aimed to analyze the research trends by investigating the nursing theories used in research articles in Journal of Korean Academy of Nursing for the last 10 years. Methods: Among the research articles published in the Journal of Korean Academy of Nursing for the past 10 years from 2010 to 2019, the research trends was analyzed by investigating the nursing theories used in the studies. Results: As the results of a survey of 847 papers published in the Journal of Korean Academy of Nursing from 2010 to 2019, 139 studies applied to the theory were extracted. As for the theory, one Grand Theory, Roy’s adaptation model, and 6 Middle Range Theories including Kolcaba’s comfort theory, Pender's health promotion model, King's goal attainment theory, Watson's human caring theory, Reed's self-transcendence theory, Mishel's uncertainty in illness theory. Conclusion: In nursing, more use of nursing theories in research is necessary in the future, not only in quantitative research methods but also in qualitative research.

목적 : 이 연구는 대한작업치료학회지에 게재 논문을 중심으로 국내 작업치료 분야 메타분석 논문의 방법론적 질을 평가하고 메타분석 연구를 위한 지침을 제공하는 것이다. 연구방법 : 창간호부터 2019년까지 발간된 대한작업치료학회지 게재 논문 중 메타분석 논문을 검색하여 최종적으로 7편의 논문을 선택하였다. 메타분석 논문의 방법론적 질은 AMSTAR 평가도구의 기준에 따라 분석하였다. 결과 : 메타분석 논문의 전체 방법론적 질 평균점수는 6.71점(SD=0.70)으로 보통 수준에 해당하였다. 분석논문들은 모두 보통 수준(100%)에 해당하였으며 높은 수준 및 낮은 수준의 연구는 한 편도 없었다. 분석대상 연구들은 AMSTAR의 11개 항목 중 7개 항목을 충실하게 이행하고 있었으나, 4개 항목(회색문헌 사용, 포함 및 배제논문 목록 제시, 결론 도출 시 질 평가 결과 활용, 이해상충 기술)에 대해서는 공통적으로 거의 수행하지 않는 것으로 나타났다. 결론 : 작업치료 분야의 메타분석 연구들은 방법론적 분석과정을 보통 수준 이상으로 충실하게 수행하는 것으로 확인되었으나, 메타분석 시 회색문헌을 선정기준에 포함하고 개별연구 질 평가 결과를 결론에 반영하며 이해상충 표기를 함으로서 메타분석 논문의 질 향상을 위한 노력을 지속하여야 하겠다.