• Title/Summary/Keyword: Keywords Analysis

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YouTube as a source of patient education information for elbow ulnar collateral ligament injuries: a quality control content analysis

  • Yu, Jonathan S;Manzi, Joseph E;Apostolakos, John M;Carr II, James B;Dines, Joshua S
    • Clinics in Shoulder and Elbow
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    • v.25 no.2
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    • pp.145-153
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    • 2022
  • Background: While online orthopedic resources are becoming an increasingly popular avenue for patient education, videos on YouTube are not subject to peer review. The purpose of this cross-sectional study was to evaluate the quality of YouTube videos for patient education in ulnar collateral ligament (UCL) injuries of the elbow. Methods: A search of keywords for UCL injury was conducted through the YouTube search engine. Each video was categorized by source and content. Video quality, reliability, and accuracy were assessed by two independent raters using five metrics: (1) Journal of American Medical Association (JAMA) benchmark criteria (range 0-4) for video reliability; (2) modified DISCERN score (range 1-5) for video reliability; (3) Global Quality Score (GQS; range 1-5) for video quality; (4) ulnar collateral ligament-specific score (UCL-SS; range 0-16), a novel score for comprehensiveness of health information presented; and (5) accuracy score (AS; range 1-3) for accuracy. Results: Video content was comprised predominantly of disease-specific information (52%) and surgical technique (33%). The most common video sources were physician (42%) and commercial (23%). The mean JAMA score, modified DISCERN score, GQS, UCL-SS, and AS were 1.8, 2.4, 1.9, 5.3, and 2.7 respectively. Conclusions: Overall, YouTube is not a reliable or high-quality source for patients seeking information regarding UCL injuries, especially with videos uploaded by non-physician sources. The multiplicity of low quality, low reliability, and irrelevant videos can create a cumbersome and even inaccurate learning experience for patients.

Changes in Interests in the Korean Traveling Industry of International Visitor at the Post-Covid 19 by Analysis of Frequency in searching keyword (키워드 검색 빈도 분석을 통한 포스트 코로나 시대 외래관광객들의 한국 관광 관심도 변화)

  • Lee, Yongseol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.9
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    • pp.1399-1404
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    • 2022
  • The transition to the untact era caused by the COVID-19 pandemic has greatly shrunk Korea's continuously growing tourism industry. In this paper, the size, gender ratio, and gender ratio of foreign tourists before and after the outbreak of Corona, gender ratio, It was noted that there was a very large change in the purpose of the visit. Considering the end of the mandatory outdoor mask, the lifting of the mandatory quarantine for all overseas arrivals regardless of vaccination, and the number of outbound tourists who started to recover rapidly from the first half of 2022, this thesis examines how the interest in Korean tourism in the post-corona era is I wanted to see if it had changed. To this end, we analyzed how major tourism-related search keywords changed before and after COVID-19, and suggested changes necessary for the development of the Korean tourism industry.

Business Failure: Overview and Research Trend (사업실패에 관한 국내외 연구동향)

  • Bae, Tae Jun;Choi, Yun Hyeong
    • Korean small business review
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    • v.42 no.3
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    • pp.43-75
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    • 2020
  • The main purpose of this study is to analyze research trend of 'business failure' from academic papers published in Asia Pacific Journal of Small Business. In this review, first, we reviewed research trend of failure, published in academic journals at abroad, explored the major topics, and set forth the framework of classification. Second, we selected and analyzed 16 Korean articles in a refined search from total 1,060 articles published in Asia Pacific Journal of Small Business from 1979 to 2019. Third, in order to understand overall research trend in Korea, additional publication search was done by online database system using keywords, and 24 other articles were selected. As a result, five research themes were identified and analyzed: (1) bankruptcy prediction, (2) emotion before and after failure, (3) costs of failure, (4) causes of failure, and (5) reentry determinants. We believe that this purposed review will offer future research issues regarding business failure.

Trend Analysis of Pet Plants Before and After COVID-19 Outbreak Using Topic Modeling: Focusing on Big Data of News Articles from 2018 to 2021

  • Park, Yumin;Shin, Yong-Wook
    • Journal of People, Plants, and Environment
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    • v.24 no.6
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    • pp.563-572
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    • 2021
  • Background and objective: The ongoing COVID-19 pandemic restricted daily life, forcing people to spend time indoors. With the growing interest in mental health issues and residential environments, 'pet plants' have been receiving attention during the unprecedented social distancing measures. This study aims to analyze the change in trends of pet plants before and during the COVID-19 pandemic and provide basic data for studies related to pet plants and directions of future development. Methods: A total of 2,016 news articles using the keyword 'pet plants' were collected on Naver News from January 1, 2018 to August 15, 2019 (609 articles) and January 1, 2020 to August 15, 2021 (1,407 articles). The texts were tokenized into words using KoNLPy package, ultimately coming up with 63,597 words. The analyses included frequency of keywords and topic modeling based on Latent Dirichlet Allocation (LDA) to identify the inherent meanings of related words and each topic. Results: Topic modeling generated three topics in each period (before and during the COVID-19), and the results showed that pet plants in daily life have become the object of 'emotional support' and 'healing' during social distancing. In particular, pet plants, which had been distributed as a solution to prevent solitary deaths and depression among seniors living alone, are now expanded to help resolve the social isolation of the general public suffering from COVID-19. The new term 'plant butler' became a new trend, and there was a change in the trend in which people shared their hobbies and information about pet plants and communicated with others in online. Conclusion: Based on these findings, the trend data of pet plants before and after the outbreak of COVID-19 can provide the basis for activating research on pet plants and setting the direction for development of related industries considering the continuous popularity and trend of indoor gardening and green hobby.

OLE File Analysis and Malware Detection using Machine Learning

  • Choi, Hyeong Kyu;Kang, Ah Reum
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.5
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    • pp.149-156
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    • 2022
  • Recently, there have been many reports of document-type malicious code injecting malicious code into Microsoft Office files. Document-type malicious code is often hidden by encoding the malicious code in the document. Therefore, document-type malware can easily bypass anti-virus programs. We found that malicious code was inserted into the Visual Basic for Applications (VBA) macro, a function supported by Microsoft Office. Malicious codes such as shellcodes that run external programs and URL-related codes that download files from external URLs were identified. We selected 354 keywords repeatedly appearing in malicious Microsoft Office files and defined the number of times each keyword appears in the body of the document as a feature. We performed machine learning with SVM, naïve Bayes, logistic regression, and random forest algorithms. As a result, each algorithm showed accuracies of 0.994, 0.659, 0.995, and 0.998, respectively.

Analysis on the Types of Benefits of Gardens in Urban Areas: Comparison of Korea and Overseas Cases

  • Park, Jiwon;Jeong, Miae
    • Journal of People, Plants, and Environment
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    • v.23 no.6
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    • pp.667-681
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    • 2020
  • Background and objective: Recently, there has been an increasing need for relaxation and familiarity with nature in residential and living spaces faced daily by urban residents, leading to a growing social interest in urban gardens. The aim of this study was to determine how gardens in a city provide physical and social benefits, comparing cases in Korea and overseas. Methods: We used the keywords "garden" and "city" for Korea, and "urban," "garden," and "green" for overseas. We then determined the Korean and overseas research trends in urban gardens by analyzing 63 Korean and 90 overseas articles deemed suitable for this study. Results: As to the types of urban gardens, the most significant type was community gardens, both in Korea and overseas (30.2% and 48.6%, respectively), followed by rooftop gardens in Korea (22.2%) and kitchen gardens overseas (22.2%). Due to the narrow and complex urban structure in Korea, people focus on using rooftop, wall, and alley spaces, and tend to arrange container-type flexible gardens. Overseas there has been a focus on promoting health and reducing food inequality through allotment and kitchen gardens, and a tendency to use a larger area as a fixed form than Korea. In addition, it was found that gardens in urban areas had a positive effect on urban biodiversity. Conclusion: To sum up, gardens in Korea are close to living spaces, and gardens overseas influence the ecosystem with an emphasis on food production. Therefore, creating urban gardens is a method of urban regeneration with a high utility that goes beyond mere food production, both in Korea and overseas, providing comprehensive benefits for the environment (37.73%) and society (62.27%). As such, continuous research on this area of study is needed to create policy guidelines for Korea.

A Review of Acupuncture Treatment Methods for Urinary incontinence and Overactive bladder in Postmenopausal Women (폐경 후 여성 요실금과 과민성 방광의 침 치료법에 대한 고찰)

  • Cho, Se-In;Kim, Dong-Il;Choi, Su-Ji
    • The Journal of Korean Obstetrics and Gynecology
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    • v.35 no.4
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    • pp.121-142
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    • 2022
  • Objectives: The purpose of this study is to review the acupuncture treatment Urinary incontinence (UI) and Overactive bladder (OAB) in postmenopausal women. Methods: We searched articles in 8 search engines with keywords related to 'Overactive bladder', 'Urinary incontinence' and 'Menopause' in July 2022. Randomized Controlled Trials (RCT) that used acupuncture on Urinary incontinence (UI) and Overactive bladder (OAB) after menopause were included. Animal studies and non RCT data were excluded. Data on acupuncture treatment such as methods, site, duration, frequency, and period were analyzed. Also, network analysis between acupoints was conducted. Results: 15 articles were selected and analyzed. Studies were conducted using manual acupuncture, electroacupuncture, pharmacopuncture and fire acupuncture. Most studies used more than one acupoint, and there were 32 acupoints selected for acupuncture treatment for UI and OAB after menopause. The most commonly used acupoint was 中極 (CV3) (n=8). In terms of the correlation of acupoints, 太谿 (KI3) had the highest value of degree centrality at 0.75. The mean treatment time, number of treatments, and duration were 26.42±6.10 minutes, 18.71±9.09 times, and 6.87±4.77 weeks. Conclusions: The results of this study could be useful in establishing the evidence for performing standardized acupuncture treatment for Urinary incontinence and Overactive bladder in postmenopausal women.

A Study on the Perception of Travel YouTube Title: Focusing on the Group of Generation Z (여행 유튜브 제목에 대한 Z세대의 인식 유형 연구)

  • Choi, Won Joo;Hong, Jang Sun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.175-184
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    • 2022
  • Travel YouTubers who cross the boundary between tradition and novelty communicate by sharing their activities with others through SNS-based media. Media content should not only satisfy individuals, nor should it be too purpose-oriented. YouTube channels should be operated so that users can easily access content naturally, and more diverse methods can be pursued based on usage patterns and satisfaction theory. This study is about the type of perception of Generation Z on travel YouTube titles. As a result of conducting QUANL program analysis on 34 Q samples and 28 P samples from the Q methodological perspective, a total of three types were found. For types with unique characteristics, the first type was named "attention of keywords that draw imagination," the second type was "preferred to stories that stimulate curiosity," and the third type was "image satisfaction reflecting expectations." In addition, considering the characteristics of each type found, the scalability and strategic plan of the activities that Generation Z travel YouTubers want to unfold were presented.

Conceptualization of IT Humanities through Keyword Topic Modeling (주제어 토픽모델링을 통한 IT 인문학 개념의 정립)

  • Youngmi Choi;Namje Park
    • Journal of The Korean Association of Information Education
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    • v.26 no.5
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    • pp.467-480
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    • 2022
  • This paper aimed to explore research trends for the conceptualization of IT humanities. Reflecting domestic and international references which focused on the possibility of the integration of digital technology and humanities, the authors examined the beginning, background, and relevant concepts of IT humanities to figure out the meaning and the research trends. In addition, using the search word "IT humanities," the authors analyzed network topics of the keywords retrieved from 1,566 KCI and 64 SCI journal articles published since 2001. The concept of IT humanities in the previous studies has tended to associate with competencies that allow considering various fields of IT based on the lens of humanities perspectives. The result of the topic modeling revealed four groups as fields to be integrated with IT humanities, methods of implementation, connections of literature or culture, and creations of IT humanities. Instead of instrumentalization or merger by one stance of IT or humanities, it is imperative to collaboratively work for the generation of a new viewpoint through mutual respect of disciplines.

Multi-perspective User Preference Learning in a Chatting Domain (인터넷 채팅 도메인에서의 감성정보를 이용한 타관점 사용자 선호도 학습 방법)

  • Shin, Wook-Hyun;Jeong, Yoon-Jae;Myaeng, Sung-Hyon;Han, Kyoung-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.1
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    • pp.1-8
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    • 2009
  • Learning user's preference is a key issue in intelligent system such as personalized service. The study on user preference model has adapted simple user preference model, which determines a set of preferred keywords or topic, and weights to each target. In this paper, we recommend multi-perspective user preference model that factors sentiment information in the model. Based on the topicality and sentimental information processed using natural language processing techniques, it learns a user's preference. To handle timc-variant nature of user preference, user preference is calculated by session, short-term and long term. User evaluation is used to validate the effect of user preference teaming and it shows 86.52%, 86.28%, 87.22% of accuracy for topic interest, keyword interest, and keyword favorableness.