• 제목/요약/키워드: key words

검색결과 1,326건 처리시간 0.023초

The trends of Nursing Research in the Journal of Korean Academy of Adult Nursing (최근 3년간 성인간호학회지 게재 논문의 내용과 경향 분석 (2004-2006년))

  • Park, Yeon-Hwan;Lee, Young-Whee;Kim, Ok-Soo;Cho, Myung-Ok
    • Korean Journal of Adult Nursing
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    • 제20권1호
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    • pp.176-186
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    • 2008
  • Purpose: The purpose of this study was to analyze the published articles in the Journal of Korean Academy of Adult Nursing from 2004 through 2006. Methods: Two hundreds and ten articles were analyzed focusing on research methodology and key words using descriptive statistics. Results: The proportion of quantitative research was 88.1%, while the proportion of qualitative research was 5.2%. The majority of the qualitative research design was survey(67.1%). Seventy-four percent of the research had verbal consent and 8% had written consent from the participants. Eight percent of the research provided conceptual framework. The prevailing data collection settings were hospitals(50.5%) and community(37.1%). For the data analysis, 95% used parametric analysis methods; descriptive statistics(26.2%), chi-square test(18.3%), t-test(18%) and ANOVA(17.4%). Key words were categorized into four nursing domain: human, health, nursing, and environment. The most frequently used domain was health. Conclusion: The number of the published articles in the Journal of Korean Academy of Adult Nursing has been increased and quality has been improved compared with the articles published before the 2000 year. Varied research methodology and data analysis methods were utilized.

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A Preliminary Study on Serious Game for C Language Study of Beginners : freCman (초보자를 위한 C 언어 학습 기능성 게임 개발 사례 : 프레C맨)

  • Hwang, Kitae;Jung, Inhwan
    • Journal of Korea Game Society
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    • 제15권4호
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    • pp.199-206
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    • 2015
  • This paper introduces a serious game called freCman developed for C programming language beginners. Since key words, syntax, and programming structure of C programming language are unfamiliar for them, they feel uneasy and have many difficulties to study. We developed three games such as shooting star C, finding hidden errors, unscrambling C codes through which C beginners can study C language easily. Also we developed CTS(Code to Speech) which speeches C source codes like English statements so that C beginners can be familiar with C key words and statements. To prove effectiveness of the freCman, some experiments have been conducted with C language beginners. Experiment results show that the freCman helps beginners studying C programming language much.

Semantic Network Analysis for the President Directions Item : Focusing on Patterns(2001~2009) (대통령 지시사항에 대한 의미연결망 분석 : 2001년~2009년의 정권별 패턴을 중심으로)

  • Jung, Yuiryong
    • The Journal of the Convergence on Culture Technology
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    • 제4권1호
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    • pp.129-137
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    • 2018
  • The aim of this study is to analyze the President Directions Item using Semantic Network Analysis. This study has three contributions. First, this study shows the difference of policy directions through the frequency and contents of key words. Second, this study suggest patterns changes of decision-making of the president and bureaucracy through the key words network structure. Third, this study infers the interaction between the president's will and context of institutions.

Exploring inter-media agenda-setting effects: Network agenda-setting model by using big-data analysis (자살 보도에 대한 미디어 간 의제 설정 분석: 빅데이터를 이용한 네트워크 의제 설정 모델 분석을 중심으로)

  • Kim, Daewook
    • Journal of the Korea Convergence Society
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    • 제12권5호
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    • pp.121-126
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    • 2021
  • Based on network agenda-setting theory, this study attempted to analyze media reports about suicide from 2000 to 2020 in order to find solutions for suicide problem in the Korean society. Results showed that top 10 key words in media were suicide, death leap, death, attempt, supposition, discovery, men, pessimism. Those key words were appeared similarly and contunually in the media. In addition, both newspapers and broadcastings had similar reports trend, so it is plausible to consider inter-media agenda setting relations between newspapers and broadcasings.

KAMs Reporting and Financial Performance: Empirical Evidence from Thai Listed Companies

  • SUTTIPUN, Muttanachai;SWATDIKUN, Trairong
    • The Journal of Asian Finance, Economics and Business
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    • 제8권4호
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    • pp.841-848
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    • 2021
  • This study seeks to investigate Key Audit Matters (KAMs) reporting of Thai listed companies in Thailand, and examines the influence of KAMs reporting on corporate financial performance. Data were collected from 180 companies listed in Thailand during 2016 to 2018, which accounted to 540 annual reports. KAMs reporting was quantified by content analysis from the audit reports, while financial performance and corporate characteristics were collected from the corporate annual reports. Descriptive analysis and multiple regressions were performed to analyze the data. The study results reveal that there was an increasing of KAMs reporting in audit report of listed companies in Thailand in terms of both number of issues and number of words across the observed period. The regression analysis indicates that was a significant and negative influence of words counted as KAMs reporting on financial performance, while there was no influence of KAMs reporting issue on the performance. Moreover, there was a negative relationship between corporate complexity and financial performance, while audit type had a positive correlation with financial performance. This study shows significant contribution on the implication of KAMs in an emerging economy and the role of KAMs as a communication device between auditor and stakeholders.

An Analysis of Domestic Research Trends related to Professionals in Dental Hygiene (치위생 전문직 관련 국내 연구 동향 분석)

  • Soon-Ryun, Lim;Jeong-A, Yang
    • Journal of Korean Dental Hygiene Science
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    • 제5권2호
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    • pp.123-144
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    • 2022
  • Background: The aim of this study was to identify the bibliographic characteristics and research trends of the literature published on the profession of dental hygiene to provide basic data for research, education, and intervention program development for the establishment of healthy professionalism among dental hygienists and dental hygienist students. Methods: A literature search was conducted through four databases. They were looked up using the terms "dental hygiene" and "professional." Finally, 46 research papers that meet the selection criteria were selected for analysis. Results: From 2004 to 2022, 46 articles were published. Except for key words related to subjects and tools, key words ranked at the top were job satisfaction, self-esteem, self-leadership, and stress. Five tools of professionalism-professional self-concept, professional intuition, professional identity, and a professional values scale -were used in the study. Conclusion: Considering the social perception of dental hygienists as professionals and the reality of dental hygiene that is carrying out the process of professionalization, efforts are needed to identify and promote beliefs and attitudes toward professionals such as professionalism and professional identity.

Research Trend Analysis in Fashion Design Studies in Korea using Topic Modeling (토픽모델링을 이용한 국내 패션디자인 연구동향 분석)

  • Jang, Namkyung;Kim, Min-Jeong
    • Journal of Digital Convergence
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    • 제15권6호
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    • pp.415-423
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    • 2017
  • This study explored research trends by investigating articles published in the Journal of Korean Society of Fashion Design from 2001 through 2015. English key words and abstracts were analyzed using text mining and topic modeling techniques. The findings are as followings. By the text mining technique, 183 core terms, appeared more than 30 times, were derived from 7137 words used in total 338 articles' key words and abstracts. 'Fashion' and 'design' showed the highest frequency rate. After that, the well-received topic modeling technique, LDA, was applied to the collected data sets. Several distinct sub-research domains strongly tied with the previous fashion design field, except for topics such as fashion brand marketing and digital technology, were extracted. It was observed that there are the growing and declining trends in the research topics. Based on findings, implication, limitation, and future research questions were presented.

A Study Of The Acupuncture & Moxibustion Fix-a-Day Method In Seunjeongwon-Ilgi (『승정원일기(承政院日記)』를 통해 본 침구택일(鍼灸擇日) 활용 방법)

  • Oh, Jun-Ho;Cha, Wung-Seok;Kim, Nam-Il
    • The Journal of Korean Medical History
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    • 제22권1호
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    • pp.15-24
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    • 2009
  • The objective of this article is to analysis of Acupuncture & Moxibustion Fix-a-day Method (AMFDM;鍼灸擇日) shown in the Seunjeongwon-Ilgi(承政院日記). Through such inquisition, The practical application of AMFDM could be found. The authors used web database of Seunjeongwon-Ilgi(承政院日記) serviced by National Institution of Korea History. We searched the database twice. First, We check up the database using key words - '忌日', '吉日', '拘忌', '鍼', '針' and '灸'. Search words is "(忌日|吉 日|拘忌)&(鍼|針|灸)". Second, We check up the database using other key words - '瘟㾮', '爲吉', '爲受鍼吉'. 1. AMFDM was used whenever Royal Family was cared. Futhermore, Its application method was as same as medical documents said. 2. AMFDM in the Seunjeongwon-Ilgi consists of Taboo-day(忌日) and Favor-day(吉日). Taboo-day is classified into following 5 type. Weather, Moon phases, The 24 solar terms(節氣), Spirit-location(人神), KunJie-12-deity(建除十二神) and OnHuang-day(瘟㾮日). 3. Sometime contradiction was occurred when AMFDM was used. So AMFDM had the priority order. According to these's order, doctor picked up a date. 4. Doctor used AMFDM to control Interval of treatment. They thought that acupuncture treatment exhaust one's Qi(氣). Using AMFDM, they could give recovery period to patient.

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Exploring Information Ethics Issues based on Text Mining using Big Data from Web of Science (Web of Science 빅데이터를 활용한 텍스트 마이닝 기반의 정보윤리 이슈 탐색)

  • Kim, Han Sung
    • The Journal of Korean Association of Computer Education
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    • 제22권3호
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    • pp.67-78
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    • 2019
  • The purpose of this study is to explore information ethics issues based on academic big data from Web of Science (WoS) and to provide implications for information ethics education in informatics subject. To this end, 318 published papers from WoS related to information ethics were text mined. Specifically, this paper analyzed the frequency of key-words(TF, DF, TF-IDF), information ethics issues using topic modeling, and frequency of appearances by year for each issue. This paper used 'tm', 'topicmodel' package of R for text mining. The main results are as follows. First, this paper confirmed that the words 'digital', 'student', 'software', and 'privacy' were the main key-words through TF-IDF. Second, the topic modeling analysis showed 8 issues such as 'Professional value', 'Cyber-bullying', 'AI and Social Impact' et al., and the proportion of 'Professional value' and 'Cyber-bullying' was relatively high. This study discussed the implications for information ethics education in Korea based on the results of this analysis.

Study on Tendency of Cloud Computing Using R and LDA Technique : Focusing on Tendency of Overseas Studies (R과 LDA 기법을 활용한 클라우드 컴퓨팅 동향에 관한 연구: 해외 연구 동향을 중심으로)

  • Kang, Tae-Gu
    • Journal of the Korea Convergence Society
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    • 제13권5호
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    • pp.261-266
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    • 2022
  • The full-fledged digital age derived from the fourth industrial revolution and the impact of COVID-19 lead to changes in various fields, including companies. In other words, the importance of cloud computing is being emphasized in the rapidly changing digital environment due to the rapid growth of the cloud market due to the rapid increase in digital services. The cloud may be one of the representative strategies for sustainable growth and survival in various fields as well as related industries. Although there have been a variety of studies on the cloud, the tendency of them has been not been adequately examined. This paper, therefore, analyzed the tendency of studies on the cloud computing. by using SCOPUS, the database of overseas academic journals using both R and LAD technique. The findings showed that many studies with high interest in the cloud computing have been conducted, the cloud computing were most often drawn from an analysis on key words. Moreover, various key words, including cloud, cloud and computing, data and computing were drawn, except for the theme of cloud computing. It is expected that could be used as a basic data, in that they provide the foundation for activating the related industries in terms of practice of the cloud computing.