• Journal of muscle and joint health
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• v.28 no.2
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• pp.79-90
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• 2021

Purpose: The purpose of this review was to analyze the effectiveness of complementary and alternative therapies (CAT) as nursing interventions for patients with osteoarthritis (OA). Methods: A systematic literature review was conducted using the PRISMA statement guidelines. To search for studies related to the effects of CAT applied as nursing care in OA patients, a combination of the keywords 'osteoarthritis,' 'complementary and alternative therapy,' and 'nursing care' were used. Finally, 12 articles retrieved from five electronic databases were included for the analysis. Results: Twelve studies were classified into seven interventions: Tai chi exercise, yoga, qigong, massage. flax seed compress, music, and meditation relaxation, administered by a nurse, and were RCTs. Outcome variables used for pain evaluation were WOMAC and VAS. The duration of interventions varied from 2 to 12 weeks. All twelve interventions had a positive effect on the outcome variables. Conclusion: CAT applied in nursing care for patients with OA significantly reduced pain and improved mobility. When planning a nursing intervention program, it is recommended to combine multiple therapies, considering the duration of effects. In addition, it is recommended to design the study as an RCT to secure the evidence for practical application.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1121-1128
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• 2022

Information about the present invention is made available for business use. You are helping to use the LCD, you can't use the LCD screen. During software configuration, Raspbian was used to provide the system environment. We made our way through the menu and made our financial through play. It provides various information such as weather, weather, apps, streamer music, and web browser search function, and it can be charged. Currently, the 'Google Assistant' will be provided through the GUI within a predetermined time.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.801-807
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• 2023

This study aims to examine the cases of overseas experience programs centered around middle school students in South Korea and to derive implications for future overseas experience programs. To achieve this, data were systematically collected through search engines based on keywords, followed by comparative analysis. Frequency analysis, independent sample t-tests, and cross-analysis were conducted using SPSS 23. The research findings are as follows: First, the programs are operated nationwide, with a focus on smaller schools in various regions, and are particularly active in the Jeolla provinces. Diverse public funding, such as from the board of education and local governments, has been invested, categorizing operational costs into full financial coverage among others. The programs primarily took place in Southeast Asian countries close to South Korea. Second, the purposes of these middle school overseas experience programs largely encompass career exploration, cultural experiences, tourism, and sister school visits. We hope that school-based overseas career exploration programs are actively operated to provide opportunities for enhancing global competence and global citizenship, as well as exploring career paths.

• Fashion & Textile Research Journal
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• v.26 no.2
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• pp.198-207
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• 2024

As men's interest in grooming increases, YouTube videos teaching men about natural makeup that could help them look more presentable are becoming popular. An increasing amount of beauty content on YouTube now targets men. Therefore, this study aimed to identify the features of male-targeted beauty videos with the highest number of views and likes in order to help beauty influencers understand what subscribers want and apply effective marketing strategies. The research method set criteria for YouTuber characteristics, editing elements, and content through prior research, and analyzed through the YouTube website. The video upload date range was set from January 1, 2022 to January 1, 2024. The search keywords "male beauty YouTuber" and "male makeup" were used to find the 10 most viewed videos. The results showed that technical terms, standard words, and loanwords were generally used, and the age group was in their 30s, and the proportion of famous experts was high. The video duration of 10-15 minutes was most common, and the ratio of sound effects, background music, and subtitles was high. Makeup tips and product reviews or recommendations was the most common type of content. Especially, demonstrations of make-up application and product reviews had higher number of views. The findings of this study could provide new ideas and references to YouTubers who aspire to specialize in male beauty content, and help them produce videos that sufficiently satisfy the needs and desires of subscribers.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.139-152
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• 2011

Recommender systems have become an important research field since the emergence of the first paper on collaborative filtering in the mid-1990s. In general, recommender systems are defined as the supporting systems which help users to find information, products, or services (such as books, movies, music, digital products, web sites, and TV programs) by aggregating and analyzing suggestions from other users, which mean reviews from various authorities, and user attributes. However, as academic researches on recommender systems have increased significantly over the last ten years, more researches are required to be applicable in the real world situation. Because research field on recommender systems is still wide and less mature than other research fields. Accordingly, the existing articles on recommender systems need to be reviewed toward the next generation of recommender systems. However, it would be not easy to confine the recommender system researches to specific disciplines, considering the nature of the recommender system researches. So, we reviewed all articles on recommender systems from 37 journals which were published from 2001 to 2010. The 37 journals are selected from top 125 journals of the MIS Journal Rankings. Also, the literature search was based on the descriptors "Recommender system", "Recommendation system", "Personalization system", "Collaborative filtering" and "Contents filtering". The full text of each article was reviewed to eliminate the article that was not actually related to recommender systems. Many of articles were excluded because the articles such as Conference papers, master's and doctoral dissertations, textbook, unpublished working papers, non-English publication papers and news were unfit for our research. We classified articles by year of publication, journals, recommendation fields, and data mining techniques. The recommendation fields and data mining techniques of 187 articles are reviewed and classified into eight recommendation fields (book, document, image, movie, music, shopping, TV program, and others) and eight data mining techniques (association rule, clustering, decision tree, k-nearest neighbor, link analysis, neural network, regression, and other heuristic methods). The results represented in this paper have several significant implications. First, based on previous publication rates, the interest in the recommender system related research will grow significantly in the future. Second, 49 articles are related to movie recommendation whereas image and TV program recommendation are identified in only 6 articles. This result has been caused by the easy use of MovieLens data set. So, it is necessary to prepare data set of other fields. Third, recently social network analysis has been used in the various applications. However studies on recommender systems using social network analysis are deficient. Henceforth, we expect that new recommendation approaches using social network analysis will be developed in the recommender systems. So, it will be an interesting and further research area to evaluate the recommendation system researches using social method analysis. This result provides trend of recommender system researches by examining the published literature, and provides practitioners and researchers with insight and future direction on recommender systems. We hope that this research helps anyone who is interested in recommender systems research to gain insight for future research.

• Journal of Oriental Neuropsychiatry
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• v.27 no.4
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• pp.261-274
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• 2016

Objectives: To determine the general characteristics of clinical studies about Hwabyung and assess their limitations and alternatives. Methods: Clinical studies that examined the effects of traditional Korean medicine intervention on Hwabyung were included in this study. A systematic search of English, Chinese, Japanese, and Korean databases was performed. The characteristics of included articles were described and those articles were assessed by Risk of Bias (RoB) tool or Risk of Bias for Nonrandomized Studies (RoBANS) tool. Results: Sixteen articles were selected from 1,826 articles. Most clinical studies about Hwabyung were published in Korea. The number of conducted trials was insufficient. The prevailing study design was randomized controlled trial. Traditional Korean medicine intervention used in the trials were acupuncture, herbal medicine, counselling, meditation, emotional freedom technique (EFT), music therapy, art therapy, and multi intervention program. Herbal medicine study used placebo as control while non-pharmacological intervention study mostly used no treatment as control. Most of the trials were supported by the government. Therefore, financial conflict of interest might not exist for results. We judged that some studies had a high risk of bias. In general, most of the studies with a high risk of bias were non-pharmacological intervention studies, and the risk of bias was mainly due to lack of blinding. Conclusions: More clinical studies of Hwabyung are needed. There are some issues about a suitable comparison and effective blinding strategy for non-pharmacological study. Improving methodological quality is required.

• Journal of the Korean Society for information Management
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• v.33 no.2
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• pp.77-102
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• 2016

The effective searching for performing arts contents can be achieved by providing various access points and searching methods based on specialized metadata. The purpose of this study is to develop a faceted navigation interface which user could effectively and efficiently retrieve performing arts contents even if the users do not know accurate descriptive information about them. Therefore, the study, first, investigated search access points and navigation items providing by other the performing arts retrieval systems and to analyze information seeking behaviors of university students who major in music, dance and theater. And then, the study proposed the 36 facets with the 9 main facet categories suitable for performing arts and also proposed 27 descriptive elements suitable for performing arts contents. Finally, the study developed the performing arts contents retrieval system based faceted navigation interface with 3,360 experimental data and conducted an in-depth interview in terms of usability, serendipity, and efficiency. The applying the faceted navigations for searching performing arts contents will help users access and utilize them in the retrieval system and moreover satisfy user demands.

• Korean Journal of Biological Psychiatry
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• v.14 no.1
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• pp.5-13
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• 2007

Objectives : Depression disturbs the individual life from the loss of productivity to suicide. Furthermore the whole society is also influenced by depression in social and economic areas. Many scientific treatment methods are known to be effective in depression. But in reality more than half of patients with depression prefer self help treatment rather than medically based treatment. For the patients with mild depression and primary physicians, it is reasonable to provide the evidence based self care including self help or alternative treatment. This study is supported by the Korean Health 21 R&D Project for the Depression Center to establish the Korean treatment guideline for depression. Methods : The members of Depression Center including the authors attended the workshops where the methods of evidence based medicine such as literature search, quality evaluation of the articles, making the level of evidence were educated. The professional librarians helped the authors for get the searched articles. Among the total of 354 abstracts of systemic review and 300 abstracts of random controlled trials, 3 systemic reviews and 2 random controlled trials were the main structure of evaluation. Result : Among the 37 self care methods known to be effective for depression, 11 kinds of methods were worth of evaluation. The first step for the self care of mild depression is to use St. John's wort, exercise, bibliotherapy, and light therapy in depression during winter season. Acupuncture, negative ion therapy, massage, relaxation technique are known to be efective with evidence. Music therapy, hypnotherapy, and aromatherapy are known to be effective but until now the evidences is insufficient and further evaluations are needed. Conclusion : Among 11 listed self-care methods, several methods need more evidence especially in Korean situation. Exercise is the most recommendable evidence based self care method in Korea nowadays. St. John's wort is effective with evidence, but it is not the OTC drug in Korea, so it is not recommendable now. For the bibliotherapy, there is no book such as "Feeling Good" in Korea. Only the introductory book about depression is available. Publishing the self help book based upon cognitive behavioral approach or psychodynamic approach is needed. Light therapy is practiced in a few clinics, but not self-help style. Exposure to the sunlight is recommended in the level of commen sense. These self care methods are for the mild patient. Moderate to severe patients with depression should seek the professional treatment.

• Child Health Nursing Research
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• v.20 no.2
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• pp.75-86
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• 2014

Purpose: The purpose of this study was to describe the components and content of nursing intervention studies on mother-infant interactions and to present strategies for future studies. Methods: Four electronic databases in the Korean language were searched to identify studies done between January 1998 and December 2011. The search yielded 145 articles. From these articles, 19 studies met the inclusion criteria. Results: Mother-infant interactions in these studies were found to include verbal and non-verbal communication basic for optimal growth and development of the child. Six kinds of interventions for mother-infant interactions were identified as follows: sensory stimulation, education program, whole body massage, kangaroo care, visiting support, and music therapy. Conclusion: Further studies with well designed clinical trials need to be done in the area of child nursing to provide evidence based data for the development of strategies to promote positive mother-infant interactions.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.301-307
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• 2020

In recent years, a recommendation system is introduced in many different fields with the beginning of the 5G era and making a considerably prominent appearance mainly in books, movies, and music. In such a recommendation system, however, the preference degrees of users are subjective and uncertain, which means that it is difficult to provide accurate recommendation service. There should be huge amounts of learning data and more accurate estimation technologies in order to improve the performance of a recommendation system. Trying to solve this problem, this study proposed a movie recommendation system based on Fuzzy-AHP and Word2vec. The proposed system used Fuzzy-AHP to make objective predictions about user preference and Word2vec to classify scraped data. The performance of the system was assessed by measuring the accuracy of Word2vec outcomes based on grid search and comparing movie ratings predicted by the system with those by the audience. The results show that the optimal accuracy of cross validation was 91.4%, which means excellent performance. The differences in move ratings between the system and the audience were compared with the Fuzzy-AHP system, and it was superior at approximately 10%.