• The Journal of Korean Obstetrics and Gynecology
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• v.34 no.2
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• pp.108-123
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• 2021

Objectives: The purpose of this study is to assess the methodological and reporting quality of the systematic reviews in the Journal of Korean obstetrics and gynecology. Methods: Systematic reviews in the Journal of Korean obstetrics and gynecology were selected from January 1987 to February 2021, by searching Koreanstudies Information Service System (KISS) and the search system of the Society of Korean medicine obstetrics and gynecology. The methodological and reporting quality was assessed using A MeaSurement Tool to Assess systematic Reviews 2 (AMSTAR 2) tool and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Results: Total of 19 systematic reviews were finally included for this study. The levels of methodological quality were low in 63.2% and very low in 36.8%. As a result of evaluating the reporting quality, 22 to 15 (average 18.6) items out of 27 items (81.5 to 55.6%) were reported. Conclusions: The results of a systematic review are helpful in giving a high level of evidence. In order to improve the quality of systematic reviews published in the Journal of Korean Obstetrics and Gynecology, it is necessary to perform and report according to the the PRISMA checklist and AMSTAR 2.

• Knowledge Management Research
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• v.20 no.2
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• pp.25-42
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• 2019

AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.73-79
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• 2019

This study simulated external ear canal modeling with different external ear canal lengths, vertical flexion angles, and inner/outer diameter ratios using digital imaging and communications in medicine(DICOM) of the head temporal region and measured the acoustic sensitivity. The experiment was performed by increasing the audible frequency for humans by 200 Hz and expressing the frequency constantly transmitted at 1 Pa as the eardrum acoustic volume and presented the measurements by linear and quadratic curve regression analysis. The results showed that the longer the external ear canal length and the higher the ratio of the outer/inner diameter, the faster the acoustic response at lower frequencies. The acoustic sensitivity correlation of the meta-model using regression analysis showed a 77% influence by the external ear canal length and 5% by the external/internal diameter ratio, while the vertical flexion angle did not show a significant relationship. This showed that auditory acoustic sensitivity of humans is a factor that reacts faster at a low frequency when the external ear canal length is longer and when the difference between the outer and inner diameter is higher.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.199-211
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• 2019

This study analyzed the research trends of college students' entrepreneurship in 172 scholarly articles in the registered journals of the Korea Research Foundation from 2010 to 2018. The results of this study are as follows: First, the research areas and topics on university students' entrepreneurship focuses on not only characteristics of entrepreneurship and entrepreneur but also entrepreneurship education. Also, the research method was dependent on the quantitative research method coupled with the statistic techniques such as descriptive statistics, correlation, t-test, ANOVA, regression analysis, and structural equation modeling. In future research, it is necessary to expand research areas to startup idea design, startup business environment and policies. Also, it is necessary to explore various variables related to entrepreneurship, not focusing on specific variables such as entrepreneurship, entrepreneurship education as well as to analyze meta analysis of the relationship between the variables influencing on the entrepreneurial intention. In addition, qualitative research and mixed research are needed to explore the process of developing entrepreneurship and the factors affecting the process of entrepreneurship.

• Journal of Information Science Theory and Practice
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• v.7 no.2
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• pp.40-53
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• 2019

Although fake news has been present in human history at any time, nowadays, with social media, deceptive information has a stronger effect on society than before. This article answers two research questions, namely (1) Is the dissemination of fake news supported by machines through the automatic construction of filter bubbles, and (2) Are echo chambers of fake news manmade, and if yes, what are the information behavior patterns of those individuals reacting to fake news? We discuss the role of filter bubbles by analyzing social media's ranking and results' presentation algorithms. To understand the roles of individuals in the process of making and cultivating echo chambers, we empirically study the effects of fake news on the information behavior of the audience, while working with a case study, applying quantitative and qualitative content analysis of online comments and replies (on a blog and on Reddit). Indeed, we found hints on filter bubbles; however, they are fed by the users' information behavior and only amplify users' behavioral patterns. Reading fake news and eventually drafting a comment or a reply may be the result of users' selective exposure to information leading to a confirmation bias; i.e. users prefer news (including fake news) fitting their pre-existing opinions. However, it is not possible to explain all information behavior patterns following fake news with the theory of selective exposure, but with a variety of further individual cognitive structures, such as non-argumentative or off-topic behavior, denial, moral outrage, meta-comments, insults, satire, and creation of a new rumor.

• The Journal of Pediatrics of Korean Medicine
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• v.33 no.3
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• pp.15-29
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• 2019

Objectives The purpose of this study is to investigate the clinical studies on the effect of herbal medicine in type 1 diabetes in children and to seek better approach of herbal medicine to treat type 1 diabetes in children. Methods This study researched randomized controlled trials through various databases in the world about herbal medicine treatments in type 1 diabetes in children. Results 10 out of 337 studies were selected and analyzed. All studies were conducted in China. All studies were using herbal medicines, as an adjunctive treatment to the main regimen. As a result, the integrated Chinese medicine and western medicine lowered FPG by -1.56 mmol/L and 2hPG by -1.94 mmol/L on average, respectively. The HbA1c also decreased by -1.11% in the treatment group compared to the control group. Total efficacy of the treatment was 1.21 times more effective in the treatment group than in the control group. Conclusions Based on the results of the studies, it seems that the herbal medicine for the treatment of type 1 diabetes in children will be effective as a combination with conventional medicines. Further research is needed to prove the findings of this observatoional studies.

• The Journal of Information Systems
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• v.30 no.1
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• pp.65-84
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• 2021

Purpose Based on the development of artificial intelligence and big data technologies, the RegTech has been emerged to reduce regulatory costs and to enable efficient supervision by regulatory bodies. The word RegTech is a combination of regulation and technology, which means using the technological methods to facilitate the implementation of regulations and to make efficient surveillance and supervision of regulations. The purpose of this study is to describe the recent adoption of RegTech and to provide basic examples of applying RegTech to capital market regulations. Design/methodology/approach English-based ontology and deep learning technologies are quite developed in practice, and it will not be difficult to expand it to European or Latin American languages that are grammatically similar to English. However, it is not easy to use it in most Asian languages such as Korean, which have different grammatical rules. In addition, in the early stages of adoption, companies, financial institutions and regulators will not be familiar with this machine-based reporting system. There is a need to establish an ecosystem which facilitates the adoption of RegTech by consulting and supporting the stakeholders. In this paper, we provide a simple example that shows a procedure of applying RegTech to recognize and interpret Korean language-based capital market regulations. Specifically, we present the process of converting sentences in regulations into a meta-language through the morpheme analyses. We next conduct deep learning analyses to determine whether a regulatory sentence exists in each regulatory paragraph. Findings This study illustrates the applicability of RegTech-based ontology and deep learning technologies in Korean-based capital market regulations.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.630-644
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• 2021

This study was conducted to develop evidence-based nursing practice guideline for the prevention of VAP. This is a methodological study to develop guideline and verify the effectiveness according to the hybrid method of the NECA. Topics and key questions were derived through literature review and interviews, and recommendations were converged and developed through guidelines review and SR and meta-analysis. This was verified through the RAND and evaluated through AGREEII. The clinical feasibility of the nursing practice guideline, consisting of 44 recommendations in 9 categories, was evaluated by 122 ICU nurses. Conclusively this evidence-based nursing practice guideline for the prevention of VAP was confirmed methodological quality and content validity and was suitable for our nursing practice environment.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.285-290
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• 2022

The 21st century of the 4th industrial revolution demands 'competency' as a new educational concept that is different from that required in the industrialization era. In accordance with these changes and demands of society, universities are being called for key competency-based education and innovation in education through this by breaking away from the existing methods in liberal arts and major education. At this point, universities are presenting a comprehensive reform of liberal arts education for various financial support projects. This study presents the case of University C regarding the reform of the liberal arts curriculum for the innovation of liberal arts education in universities. According to the research results, each university is reorganizing the liberal arts curriculum in a way that can suggest various key competencies according to the university's founding philosophy and induce key competencies in the aspect of liberal arts education. For the key competency-based liberal arts curriculum of University C, we proposed various subjects for insufficient key competency subjects, various micro-degrees were proposed to specialize liberal arts education, and meta-learning-related liberal arts subjects were presented to improve basic learning ability of the students.

• Research in Community and Public Health Nursing
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• v.32 no.4
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• pp.457-466
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• 2021

Purpose: The purpose of this study was to examine the correlations among emotional perception clarity, emotion regulation, family relationship, non-suicidal self-injury, and depression, and to determine associated factors of non-suicidal self-injury and depression for senior elementary school students. Methods: Data were collected from 150 early adolescences in K region, Korea. A self-report questionnaire consisted of Trait Meta-Mood Scale, Cognitive Emotion Regulation Questionnaire, Family Relationship Assessment Scale, Functional Assessment of Self-Mutilation, and Children's Depression Inventory. The data were analyzed using t-test, Pearson's correlation coefficient, logistic regression, and multiple regression analysis. Results: Non-suicidal self-injury and depression were positively associated with maladaptive emotion regulation strategy and family conflict, but negatively related to emotional perception clarity and family support. Adaptive emotion regulation strategy and family togetherness were only significantly correlated with depression. In logistic regression analysis, significant predictors of non-suicidal self-injury were emotional perception clarity, maladaptive emotion regulation strategy, and family support. Multiple regression analysis found that significant factors of depression were adaptive and maladaptive emotion regulation strategies, which explained 38.0% of the variance. Conclusion: Our study findings suggest that targeted intervention to reinforce the adaptive emotion regulation strategy and family relationship may prevent non-suicidal self-injury, and depression for senior elementary school students.