• The Journal of Internal Korean Medicine
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• v.39 no.3
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• pp.372-388
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• 2018

Objective: This study evaluates the effectiveness and safety of moxibustion for benign prostatic hyperplasia (BPH). Methods: Using the keywords "benign prostatic hyperplasia", "benign prostatic hypertrophy", "benign prostatic enlargement", "prostatic hyperplasia", and "moxibustion", we searched papers in numerous databases, including National Discovery for Science Leaders (NDSL), Korean Traditional Knowledge Portal (KTKP), Oriental Medicine Advanced Searching Integrated System (OASIS), Research Information Sharing Service (RISS), PubMed, Embase, and CENTRAL. The search range included randomized controlled trials (RCTs). Papers not matched with inclusion criteria were excluded. The methodological quality of each RCT was assessed using the Cochrane risk-of-bias tool. Where appropriate, meta-analyses were performed. Results: Initially, 77 studies were found. Of these, 11 duplicate studies were removed and 27 were excluded following title and abstract screening. After the remaining 39 papers were scanned, 13 RCTs were selected and analyzed. Among these 13 RCTs, five compared moxibustion therapy and oral medication, seven compared moxibustion plus acupuncture therapy and oral medication, and one compared moxibustion plus acupuncture therapy and sham-moxibustion. The meta-analysis showed positive results for the use of moxibustion therapy in terms of International Prostate Symptom Score (IPSS), Quality Of Life (QOL), Maximum Flow Rate (Qmax), Prostate Volume (PV), and the efficacy rate. The meta-analysis showed positive results for the use of moxibustion plus acupuncture therapy in terms of IPSS, QOL, and the efficacy rate. Conclusions: This meta-analysis of clinical trials suggests that moxibustion is effective intreating BPH patients. The results of this study could be applied to clinical treatment of BPH. However, additional large-scale clinical researches should be conducted.

• Archives of design research
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• v.16 no.2
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• pp.375-384
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• 2003

This study is on the strategy for establishing successful corporate brand image, by understanding the need for increasing brand value based on the level of brand recognition. In order to carry this out, the PICS (Product Image Concentration System) is suggested, which includes Brand Image Analysis on a high-level, Product Image Programming based on the result of the image analysis, and Product Image Coherency Assessment and Management, resulting in setting up a guideline for gaining competitive advantage and brand management. Brand Image Analysis is a method that utilizes image association to understand brand disposition by analyzing the association pattern among available visual materials to measure the corporate and brand image inclinations. As the next step, Product Image Programming establishes design philosophy and principles based on the analysis of brand image, and the Visual Programming is a process for visualizing the intended product image direction. Lastly, Product Image Coherency Assessment examines whether to incorporate design philosophy and principles or not to arrive at an agreed evaluation criteria for developing designs coherent with the brand image. The PICS (Product Image Concentration System) is a practical method for increasing a company' competitive advantage and managing brand. The expectation on this system is to provide a guideline for applying brand image in design process more objectively. For further study, diversification of image spectrum based on expressive keywords and comparative analysis on images as well as a product image interpretation program to understand the order of visual materials will be necessary.

• Journal of the Korean Society for information Management
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• v.33 no.2
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• pp.177-200
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• 2016

The purpose of this study was to analyze how the Library and Information Science (LIS) related research efforts in Korea contributed to the progress of the Human Computer Interaction (HCI) discipline to identify the potential collaboration research partners and topics. The following data was used for the network and frequency analysis: titles, keywords and affiliation information extracted from the Korean journals serving the LIS fields as well as the conference proceedings of the Korean HCI society. Information communication technology, computer engineering, and technology industry had been active in research collaborations but LIS field was comparatively not active. This study was able to determine that LIS researchers carried out important research but they had not much interests in the topics that required interdisciplinary collaboration. However, there were a number of papers, which were not authored by LIS discipline researchers, in the LIS related journals. In addition, there are a few ongoing interdisciplinary research projects which included LIS researchers. This reveals that it is possible for the LIS field could play an important role in the future if the researchers actively participate the collaborative projects.

• Journal of the Korean Society for information Management
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• v.30 no.4
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• pp.215-239
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• 2013

Even though the overall scholarly community has recognized a dramatic growth and changes in the Information Science research in Korea over the last few decades, there are still only few studies that have identified the changes in terms of long-term and dynamic point of view. We have analyzed 1,007 IS-research articles from leading Korean journals in KCI (Korea Citation Index), published between 2000 and 2011. To discern the trendline of changes in research interests over time, we conducted a time-series analysis by developing grounded subject scheme from the article set and checking the growth rate of the number of published articles and title keywords. A comparative analysis was also conducted by constructing and comparing co-word maps over time to discover visible changes in research topics over this 12-year period of the IS-research in Korea. As a result, we identified some developments and transformations in major subject areas and knowledge structure of the IS-research in Korea over time. The major trend we discovered is that IS-studies over the 12-year period evolved from system-oriented research to library-application research. The changes are especially observed in knowledge management, Web-based system evaluation, and information retrieval areas. When compared to the results of other studies, the result of our study may serve as an evidence of the localization of Korean IS-studies in the first decade of the $21^{st}$ century.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.271-284
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• 2016

This study was carried out to evaluate the efficacy of CBT for perinatal depression through systematic literature review and meta-analysis. The following databases were used to search the literature: CINAHL, PubMed, EMBASE, Koreamed, Library of Korean Congress, KISS, and Korean Academic Publication Database. Keywords included 'perinatal depression,' 'pregnant women,' and 'cognitive behavioral therapy,' and the evaluated articles were published up to May 2016. Using the R program, the effect size of perinatal depression and anxiety were calculated by random-effects model. The heterogeneity of the effect size was analyzed by data moderator analysis using the meta-ANOVA. Furthermore, the funnel plot, Egger's regression test, fail-safe N, trim-and-fill test, and publication bias analysis were conducted and used to verify the results. Out of the 180 selected articles, 16 clinical trial studies were meta-analyzed. Each articles were evaluated for the risk of bias by the checklist of SIGN; the overall risk of bias was low. The effect size of CBT for perinatal depression was Hedges' g=-0.55 (95% CI: -0.76~-0.33), which was a moderate level, while for anxiety reduction, Hedges' g=-0.20 (95% CI: -0.48~-0.08) and it was not statistically significant. Heterogeneity or risk of publication bias were low. This meta-analytic study found that CBT is moderately effective in reducing perinatal depression in pregnant women.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.3
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• pp.104-112
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• 2007

This paper aims to analyze academic and technological progresses of GIS as reviewing research trends of GIS journals for which four major GIS journals, KAGIS(The Korean Association of Geographic Information Studies), KSISS(Korea Spatial Information System Society), KOGSIS(The Korean Society for Geospatial Information System), GISAK(Geographic Information System Association of Korea) have been selected. As the authors suppose that subjects of academic articles reflect academic and social demands, total 1,222 articles that have been published by the four journals from 1993 to 2006 were reviewed and analyzed by content analysis method. Because of large volumes and variety of research scopes, all topics in the papers were classified into several categories with title and keywords referenced in each paper and the categories were analyzed into 5 years period. Thus, from the analysis results, this paper asserts that research trends and academic progresses are well-structured to review recent GIS areas in Korea and the outcomes of the analysis can be an adequate guidelines to establish NGIS policies and strategies.

• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.183-191
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• 2020

The purpose of this study is to objectively analyze the trend of media articles related to the 'high school credit system' (2017~2019: 3 years), which has become the biggest concern among Korean education policies, through BIGKinds, a news data big data analysis service for media companies. The main research methodologies were BIGKinds system's specific search term news search, news trend analysis, keyword extraction and wordcloud implementation, network analysis and network picture presentation. The research results are as follows; First, the number of articles related to the high school credit system that appeared in major media outlets in Korea for 3 years from 2017 to 2019 was 3,649. The number of articles was sharply increased at a certain point about 4 times, based on the government's announcement of related policies. It showed an increasing news trend. Second, the top 20 keywords that emerged from the press articles related to the high school credit system for 3 years of analysis were presented, and it was confirmed that the keyword change by year appeared. Third, the network of media articles related to the high school credit system was visualized and presented in different ways by person, institution, and keyword. The results of this study confirmed that the high school credit system education policy was adopted as the representative education policy of the Moon Jae-in government, and is proceeding in the policy decision stage and policy implementation stage.

• Journal of Oriental Neuropsychiatry
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• v.23 no.1
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• pp.93-114
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• 2012

Objective : This study aimed to review the performance of traditional herbal prescriptions for treating dementia and present a strategy for research on dementia therapy utilizing herbal medicine. Methods : A definition was made to clarify the technology regarding the development of herbal prescriptions for treating dementia. The queries were compounded based on the initial keywords provided by experts in the field, then applied to the Web of Science database search engines from January 1986 to September 2011 to search related scientific articles. Before performing the analysis, papers were extracted from the initial search reviewed by experts and 80 articles were selected. Then, the selected papers were analyzed in terms of publish year, country, and type of herbal prescriptions. Furthermore, the research performance evaluation for treating dementia by herbal prescriptions was also created in terms of country and organization based on forward citation analysis. In addition to, for the evaluation regarding research quality, we classified and reviewed papers into two types: clinical studies and experimental studies. Results : According to the quantitative information analysis of 80 articles, the number of papers has increased by 21.9% per the yearly mean from 1995, and Japan had the largest portion within this research field. There were 34 kinds of traditional herbal prescriptions, among them Ukgansan had the highest number of studies followed by Jodeungsan, Dangkisoosan and so on. In addition, quality index as calculated by cites per paper is higher than average in Switzerland, Turkey and Japan. In the view of the evaluation on quality there were 12 clinical studies, 8 RCT reported that herbal prescriptions had efficacy at cognition, behavioral & psychological symptoms (BPSD) and activity of daily life (ADL) in various type of dementia. In experimental studies most of the studies were performed using animal models. The studies using Ukgansan were aimed at improving BPSD. The papers studied with Jodeungsan and Dangkisoosan targeted vascular dementia. Conclusions : In this study, research to develop traditional herbal prescriptions for treating dementia has the potential to improve symptoms since herbal medicines work as both multi-function and multi-target in dementia with multiple pathological or neurotoxic pathways. Therefore, the results of the research should be used in order to establish strategies to develop technology for treating dementia with traditional herbal prescriptions in the future.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.193-214
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• 2017

It is a very important time to check how SW curriculum is actually organized and what is inadequate to practical requirements of SW manpower in the present situation where there is a difference of viewpoints between software field and SW curriculum of university. In overseas cases, efforts have already been made to cultivate SW manpower based on SW training centered on practical requirements. As a result, there is a positive response to the recruitment of actual related companies. In Korea, these attempts have been attempted under government initiative. In particular, based on the SW-centered university project, it has given the role of a leading university in related fields. However, with regard to the labor supply problem in the SW sector, the requirements of the business enterprises still differ from the educational curriculum. In this study, we tried to diagnose the method that can reduce the difference between the composition and the practice of the contents according to the existing limit that the environment factor of the viewpoint of the working companies about the curriculum composition is not clearly reflected. As a result, the topic modeling based on the university's curriculum and lecture plan data is used to derive keywords for curriculum and lecture plan. Through the data analysis, this study confirmed that the practice rate of related university departments utilized in data analysis is relatively low. In addition, we found that it is important to establish a systematic curriculum and to build a lecture plan to cultivate practical skills, as the number of overlapping textbooks and the number of keyword overlapping are found.

• Informatization Policy
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• v.23 no.3
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• pp.26-42
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• 2016

Recently, with the rapid growth of the O2O market, Fintech combining the finance and ICT technology is drawing attention as innovation to lead "O2O of finance", along with Fintech-based payment, authentication, security technology and related services. For new technology industries such as Fintech, technical sources, related systems and regulations are important but previous studies on Fintech lack in-depth research about systems and technological trends of the domestic Fintech industry. Therefore, this study aims to analyze domestic Fintech trends and find the insights for the direction of technology and systems of the future domestic Fintech industry by comparing Kakao Pay and Samsung Pay, the two domestic representative mobile payment services. By conducting a complete enumeration survey about the tweets mentioning Fintech until June 2016, this study visualized topics extraction, sensitivity analysis and keyword analyses. According to the analysis results, it was found that various topics have been created in the technologies and systems between 2014 and 2016 and different keywords and reactions were extracted between topics of Samsung Pay based on "devices" such as Galaxy and Kakao Pay based on "service" such as KakaoTalk. This study contributes to analyzing the unstructured data of social media by period by using social media mining and quantifying the expectations and reactions of consumers to services through the sentiment analysis. It is expected to be the foundation of Fintech industry development by presenting a strategic direction to Fintech related practitioners.