• 제목/요약/키워드: Words of Interest

검색결과 387건 처리시간 0.028초

한국치위생학회지 게재논문의 피인용수에 영향을 미친 요인 (Factors affecting the number of citations in papers published in the Journal of Korean Society of Dental Hygiene)

  • 전세정
    • 한국치위생학회지
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    • 제21권5호
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    • pp.639-644
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    • 2021
  • Objectives: The purpose of this study was to analyze the factors that affected the number of citations for articles published in the Journal of Korean Society of Dental Hygiene based on previous studies. Methods: Information on papers including the number of citations was collected using a web crawling technique. The effect of the number of author keywords, the number of Medical Subject Headings (MeSH) keywords, MeSH match rate, abstract word count and keyword-abstract ratio on the number of citations was analyzed by multiple regression analysis. Results: The use of the MeSH keyword did not have a significant effect on the number of citations. Among the other factors, only the keyword-abstract ratio was statistically significant. Conclusions: Select a topic of constant interest in the field, write the title in detail using colons or asterisks if necessary, and do not repeat the words used in the title in keywords. Select specific keywords deeply related to the topic. In particular, choice words or phrases that are frequently used in the abstract. If the MeSH keyword selection contradicts the previous strategies, boldly give up the MeSH keyword.

Whitman's Strategy of Cultural Independence through Reterritorialization and Deterritorialization

  • Jang, Jeong U
    • 영어영문학
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    • 제55권3호
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    • pp.497-515
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    • 2009
  • Culture as a source of identity, as Edward Said says, can be a battleground on which various political and ideological causes engage one another. It is not mere individual cultivation or private possession, but a program for social cohesion. Sensitively aware that a national culture should be independent from Europe, Walt Whitman enacts a new form of literature by placing different cultural values against Old World tradition. His interest in autochthonous culture originates from his deep concern about national consciousness. He believes that literary taste directed toward highly-ornamented elite culture is an obstacle to cultural unification of a nation. In order to represent American culture of the common people, Whitman incorporates a lot of cultural material into his poetry. Since he believes that America has many respectable writers at home, he urges people to adjust to their own taste instead of running after foreign authors. Whitman differentiated his poetry from previous literary models by disrupting the established literary norms and reconfiguring cultural values on the basis of American ways of life. In his comment on other poets, he concentrates on the originality and nativity of poetry. By claiming that words have characteristics of nativity, independence, and individuality, he envisions American literature to be distinguished from British literature in literary materials as well as in language. Whitman s language is composed of a vast number of words that can fully portray the nation. He works over language materials in two ways: reterritorialization and deterritorialization. Not only does his literary language become subversive of the established literary language, but also makes it possible to express strength and intensity in feeling.

청소년의 숲 체험을 통한 치유효과 분석 (An Analysis of Healing Effects through Youth Forest Experience)

  • 송경환;이상호
    • 한국유기농업학회지
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    • 제29권3호
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    • pp.385-396
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    • 2021
  • This paper investigated the satisfaction of agro-healing and analyzed its willingness to participate in agro-healing in the future. First, a survey of intentions to participate in agro-healing found that the ratio of participation was 55.6% (125 people). It is analyzed that more than half of teenagers who have experienced agro-healing programs are willing to participate again. Second, a survey of satisfaction with agro-healing showed the highest improvement in agricultural awareness, including increased public interest value of agriculture. This can be seen as a way to raise public awareness of agriculture, as well as the effects of mental and physical health recovery, social integration contributions, and social safety contributions. Third, an analysis of the effect of awareness on the willingness to participate in agro-healing showed that the less significant it was, the higher the awareness, the higher the willingness to participate. In other words, various information delivery means, such as public relations measures, should be prepared to raise awareness of agro-healing. Fourth, it can be seen that those with low satisfaction with expected effects such as health recovery, social safety, social integration, and improved agricultural awareness have a clear difference in their willingness to participate in the future. In other words, the higher the satisfaction level of the agro-healing program, the higher the willingness to participate in the agro-healing industry in the future.

Exploring Depression Research Trends Using BERTopic and LDA

  • Woo-Ryeong, YANG;Hoe-Chang, YANG
    • 식품보건융합연구
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    • 제9권1호
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    • pp.19-28
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    • 2023
  • The purpose of this study is to explore which areas have been more interested in depression research in Korea through analysis of academic papers related to depression, and then to provide insights that can solve future depression problems. 1,032 papers searched with the keyword "depression" in scienceON were analyzed using Python 3.7 for word frequency analysis, word co-occurrence analysis, BERTopic, LDA, and OLS regression analysis. The results of word frequency and co-occurrence frequency analysis showed that related words were composed around words such as patient, disorder and symptom. As a result of topic modeling, a total of 13 topics including 'childhood depression' and 'eating anxiety' were derived. And it has been identified as a topic of interest that 'suicidal thoughts', 'treatment', 'occupational health', and 'health treatment program' were statistically significant topics, while 'child depression' and 'female treatment' were relatively less. As a result of the analysis of research trends, future research will not only study physiological and psychological factors but also social and environmental causes, as well as it was suggested that various collaborative studies of experts in academia were needed such as convergence and complex perspectives for depression relief and treatment.

초등학교 국정 교과서의 한의학 관련 내용에 관한 분석 연구 (The Analysis of Contents Relevant to Korean Medicine in Elementary School National Textbooks)

  • 김희준;김민유;김기봉
    • 대한한의학회지
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    • 제35권3호
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    • pp.32-39
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    • 2014
  • Objectives: Elementary school national textbooks of 2013 were analyzed to examine the contents related to Korean medicine in the Korean elementary school curriculum. Methods: The contents related to Korean medicine were identified in the 118 elementary school national textbooks of 2013, and their proportion in the total textbooks was calculated. The Korean medicine-related contents were also analyzed. Results: There were twelve parts related to Korean medicine in seven chapters in six courses, and four directly related words and eight indirectly related words were found in twelve parts. The total number of lines for the contents related to Korean medicine were 205, which occupied 0.063% in the total elementary school national textbooks. The contents occupied 0.013% in the second grade, 0.265% in the third grade, 0.036% in the fourth grade, and 0.042% in the fifth grade. Conclusion: The results show that the coverage of Korean medicine in the elementary school national textbooks in 2013 does not provide enough information on Korean medicine. To help people get to know about Korean medicine and use it in the right way, it would be necessary to include more information about Korean medicine in textbooks, and continuous interest as well as research will be needed.

Spatio-temporal Semantic Features for Human Action Recognition

  • Liu, Jia;Wang, Xiaonian;Li, Tianyu;Yang, Jie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권10호
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    • pp.2632-2649
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    • 2012
  • Most approaches to human action recognition is limited due to the use of simple action datasets under controlled environments or focus on excessively localized features without sufficiently exploring the spatio-temporal information. This paper proposed a framework for recognizing realistic human actions. Specifically, a new action representation is proposed based on computing a rich set of descriptors from keypoint trajectories. To obtain efficient and compact representations for actions, we develop a feature fusion method to combine spatial-temporal local motion descriptors by the movement of the camera which is detected by the distribution of spatio-temporal interest points in the clips. A new topic model called Markov Semantic Model is proposed for semantic feature selection which relies on the different kinds of dependencies between words produced by "syntactic " and "semantic" constraints. The informative features are selected collaboratively based on the different types of dependencies between words produced by short range and long range constraints. Building on the nonlinear SVMs, we validate this proposed hierarchical framework on several realistic action datasets.

언어 네트워크 분석을 통한 화장행동 연구동향 분석 (Language network analysis of make-up behavior research)

  • 백경진
    • 복식문화연구
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    • 제27권3호
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    • pp.274-284
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    • 2019
  • Research on cosmetic behavior has developed significantly since the 2000s. Reviewing cosmetic behavior research can be meaningful because it can grasp trends in the domestic cosmetics market, and it can also illuminate how domestic consumers' interest in makeup has changed over time. The purpose of this study is to investigate the links between major keywords and the keywords which affect makeup behavior of different age groups through network analysis. In this study we analyzed thesis and journal data based on makeup behavior through network analysis using Nodexl. We analyzed 10 years of journals and theses - from 2000 to 2017, and investigated age-related differences in variables related to makeup behavior. Research subjects were divided into age-based groups: 10, 20-40, and over 50. The total number of theses collected was 82. In order to perform network analysis using the Nodexl program, we extracted the frequency of representative words using the KrKwic program. The extracted core words were analyzed for degree centrality, betweenness centrality and eigenvector centrality using Nodexl. The expected result is that the network analysis using keywords will lead to different variables depending on age and the main goal of the cosmetics market, and it is expected to be used as the basis for follow-up research related to cosmetic behavior.

텍스트 마이닝을 활용한 윤리적 패션 연구동향: 2009-2019 연구 네트워크 분석 (Ethical Fashion Research Trend Using Text Mining: Network Analysis of the Published Literature 2009-2019)

  • 최영현;이규혜
    • 한국의류산업학회지
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    • 제22권2호
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    • pp.181-191
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    • 2020
  • The fashion industry has faced environmental, social, and ethical issues due to increased interest in ethical consumption. Numerous ethical studies have been conducted in the fashion industry. This study looked at the current state of research by year, academic journal, and detail in major related papers published in Scopus, KCI and KCI between 2009 and 2019. Ethical fashion studies began to appear in 2009 and were concentrated in certain academic journals and focused on fashion marketing and fashion design. Topics in ethical fashion were terms such as sustainable, eco-friendly, up-cycling, recycling, eco, zero-waist, and organic. In ethical fashion studies, environmental studies were conducted most often; in addition, the terms used along with ethical fashion tend to be frequently used for each particular major. Looking at key words used in research by period, the study showed that research was most diverse between 2016 and 2019. In particular, environmental and social issues of ethical fashion and convergence with animal protection, new distribution, science and technology sectors were newly added between 2016 and 2019. This study used text mining and network analysis to understand the overall trends of ethical fashion studies in Korea. In conclusion it is important to realize the relationship between the main words along with the current status analysis.

관심중심수용모형(CBAM)에 기반한 전문교과 교사의 교수·학습 방법에 대한 관심도 분석 (Analysis of Interest in the Professor Learning Method of Specialized Curriculum Teachers based on CBAM)

  • 이수정;김민정
    • 직업교육연구
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    • 제37권3호
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    • pp.65-83
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    • 2018
  • 최근 변화하는 사회에 대응하는 실무 역량을 기르고 인적자원을 개발하기 위해 교육부는 NCS 기반으로 교육과정을 수정 고시하고 교실 수업의 혁신을 강조하고 있다. 이와 같이 교육 현장에서의 새로운 변화가 있는 경우 변화에 대한 교사의 인식과 관심도는 새로운 교육적 제도의 안정적 정착 및 효율적인 운영에 영향을 미친다. 본 연구에서는 NCS 기반 교육과정의 운영을 위해 요구되는 교실 현장 실현 가능한 교수 학습 방법에 대한 전문교과 교사의 관심도를 분석하여 그 양상을 분석하고자 하였다. 먼저 선행 연구 및 교육과정 분석을 통해 NCS 기반 교육과정 실현에 적합한 교수 학습 방법을 도출한 뒤 이의 타당도를 검증하였다. 그리고 전문교과 교사 334명을 대상으로 교수 학습 방법에 대한 관심도를 살펴보기 위하여 설문조사를 실시하였다. 연구 결과 전문교과 교사의 교수 학습 방법에 대한 전반적인 관심도는 관심중심수용모형(CBAM)의 관심도 패턴 4가지 유형 중 비사용자 패턴과 유사하게 나타났다. 즉 전문교과 교사는 NCS 기반 교육과정의 적용을 위한 교수 학습 방법에 대해 자세히 알고 싶어하고 있으나 현재 전반적인 사항만 알고 있어 실제 운영하는 것과 관련된 관심도가 낮은 것으로 판단된다. 그리고 전문교과 교사의 일반 변인(성별, 관련 연수 경험 유무, 경력, 교과군)에 따른 교수 학습 방법에 대한 관심도 차이는 통계적으로 유의하지 않았다. 그러나 각 변인에 따른 분석을 종합적으로 살펴보았을 때, 전문교과 교사는 교수 학습 방법에 대한 4단계(결과적 관심)와 5단계(협력적 관심)의 관심도가 낮게 나타났다. 즉, 전문교과 교사는 NCS 기반 교육과정의 도입에 따른 교수 학습 방법의 영향력과 이를 토대로 한 평가 방법, 피드백 방안 등에 대해 관심이 없으며, 이와 관련하여 동료와의 협업에 관심이 적은 것으로 나타났다. 이와 같은 연구 결과를 통해 추후 향후 전문교과 교사의 교수역량 함양을 위한 연수 컨설팅을 실시하거나 교육 프로그램을 개발 시 교수 학습 방법과 연계된 평가 방법, 평가 결과에 따른 피드백 방안과 함께 동료 교사와의 협업이 가능하도록 하는 전략 개발이 필요할 것으로 판단된다.

한국 드라마 수용에 있어서 국가별 감정 반응 분석: 드라마 <도깨비>를 중심으로 (A Comparative Study of Emotional Response to Korean Drama among Countries: With Drama 'Goblin')

  • 이예원;우성주
    • 감성과학
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    • 제20권4호
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    • pp.31-40
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    • 2017
  • 본 연구는 한류 콘텐츠 소비 시 나타나는 한국, 일본, 미국의 감정 반응을 통해 국가별 소비 성향을 규명하는 데 목적이 있다. 방대해진 텍스트 리뷰를 이용한 감정 분석 연구가 주목받고 있고, 콘텐츠 수요에 환경적 특성이 주요한 영향을 주고 있음에도, 국가별 감정 반응 차이에 대한 연구는 거의 이루어지지 않고 있다. 따라서 본 연구에서는, Russell(1980)이 제시한 감정 원형 모델을 사용하여 한국형 판타지 멜로드라마 <도깨비>에 대한 국가별 감정 단어의 변수 중요도 및 단어 간 연관을 비교하였다. 우선, 2017년 1월 26일부터 3월 26일까지 2달간의 텍스트 리뷰를 수집하였다. 둘째, 수집한 데이터로부터 Russell의 감정 모델에 해당하는 감정 단어를 선별하였다. 셋째, 선별한 데이터에 랜덤 포레스트를 적용하여 변수 중요도를 평가하였다. 넷째, Russell 축에 따른 주요 감정 단어 간 연관성을 비교하였다. 마지막으로 테스트 데이터를 이용하여 학습된 모델의 정확성을 측정하였다. 실험 결과, 국가별 감정 단어의 변수 중요도에서 한국과 미국은 Happy, 일본은 Pleased가 가장 중요한 변수로 나타남을 확인하였다. 단어 간 연관성에서 한국은 수동적 불쾌감, 미국과 일본은 수동적 쾌감이 강하게 나타나는 경향이 있음을 확인하였다. 본 연구를 통해, 한류 콘텐츠에 대한 국가별 감정 반응 차이를 확인할 수 있을 것으로 기대한다.