• Korean Journal of Acupuncture
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• 제35권2호
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• pp.70-81
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• 2018

Objectives : To investigate the association of trial registration status with presence of reporting bias including publication bias and outcome reporting bias in recently published randomized controlled trials (RCTs) of acupuncture. Methods : A PubMed search for RCTs of acupuncture published from March 2016 to February 2017 was conducted. Primary outcomes were identified and the direction of the results was judged as positive (i.e., statistically significant) or negative. The trial registration was identified by manually screening the trial registration number in the main text of the published article and classified into 1) prospective registration; 2) retrospective registration based on the registration date or; 3) no registration. Results : Of the 125 included RCTs, only 40 studies (32.0%) prospectively registered the study protocols. Among 65 RCTs that adequately reported the primary outcome, unregistered trials were more likely to report positive results than the registered ones (p=0.013). Of the 40 prospectively registered studies, 19 trials (47.5%) had the discrepancies between the registered and published primary outcomes and furthermore, 40% of them reported the positive findings. Conclusions : Unregistered trials were more likely to report positive results and the discrepancies between the registered and published primary outcomes were detected in about a half of the prospectively registered studies, 42.1% of which tended to report positive findings. Journal editors and researchers in this field should be alerted to various reporting biases.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제2권12호
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• pp.541-552
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• 2013

최근 우리 생활에 스마트 기술의 빠른 전파 때문에 정보 과학 및 기술 분야에 있어서는 스마트 폰의 소프트웨어 보안성이 중요한 이슈가 되고 있다. 보안성 중요 시스템인 스마트 폰은 은행 서비스, 유비쿼터스 홈 관리, 항공 고객의 검색 등의 서비스 시스템에 이용되기 때문에 비용의 리스크, 손실의 리스크, 이용가능 리스크, 그리고 사용상의 리스크에 관련 되어 있다. 스마트 폰의 보안성 이슈는 이들의 관찰된 고장들을 사용하여 소프트웨어 장애 분석을 하는 것이 핵심 접근 방법이다. 본 연구에서는 손으로 조작하는 디바이스들의 수렴하는 보안성과 신뢰성 분석 기법을 얻기 위해서 결함 트리 분석 (FTA)와 고장 모드 효과 분석(FMEA)을 사용하여 스마트 폰의 소프트웨어 보안성 분석을 위한 하나의 유효한 통합적 프레임 워크를 제안한다. 그리고 만약 하나의 고장 모드 효과 분석이 더욱 더 간단해지면 스마트 디바이스들의 보안성 개선뿐만 아니라 고장효과 의 감소를 위해서 제안된 통합적인 프레임 워크는 핵심 해법이 됨을 논의한다.

• 한국IT서비스학회지
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• 제18권3호
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• pp.37-51
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• 2019

This study aims to establish the direction of development of Korean cinematography technology in the era of the 4th Industrial Revolution and present future development plan. First, in order to diagnose the current status, supporting policies of various countries and film technology research trends were analyzed. Each country is expanding the support for film technology including tax credits. Through the analysis of patents and research papers, recent issues have shown that Virtual Reality, HMD, Artificial Intelligence, and Big Data are applied to film technology. Next, the survey results of Korean film technology level for filmmakers were 70% for production, 47.5% for distribution, and 60.3% for screening comparing to the level of the leading country. The gap was caused by the lack of funds for research and development and insufficient government support policies. In addition, interviews with film makers revealed the need to support filmmaking that combines technologies such as localized film technology, artificial intelligence, and deep learning. Finally, it is suggested that technology sharing platform should be developed in the future through the discussions of technology, science and academic experts', and technology development should be carried out in the field. As a result, film technology R&D should be promoted in order to develop technologies specific to movies. Advanced technology foundation for the growth of film technology should be developed to systematically equip the infrastructures such as education and human resources. In addition, technology development that links standardization should be carried out. In this study, we propose the development of Korean film technology to prepare for the 4th Industrial Revolution, and it is expected that the 2022 film technology power nation will be realized.

• 문화기술의 융합
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• 제5권4호
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• pp.413-420
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• 2019

본 연구의 목적은 기존의 body fat mass 변수와 고콜레스테롤혈증의 연관성연구를 벗어나, 머신러닝기법을 기반으로 body fat mass 변수들의 조합을 이용하여 고콜레스테롤혈증 예측 모델을 개발하는 것이다. 이러한 연구를 위하여 국민건강영양조사 데이터를 기반으로 두 가지 variable selection 메소드와 머신러닝 알고리즘을 이용하여 총 6개의 모델을 생성하였고 질병 예측력을 비교분석하였다. 여러 body fat mass 관련 변수들 중에서 몸통지방량 변수가 고콜레스테롤혈증 예측력이 가장 우수한 변수인 것을 밝혀내었고, 머신러닝 기반 예측모델들 중에서 correlation-based feature subset selection 기반 naive Bayes 알고리즘을 이용한 모델이 0.739의 the area under the receiver operating characteristic curve 값과 0.36의 Matthews correlation coefficient 값을 얻었다. 이러한 연구의 결과는 향후 국내외 대규모 스크리닝 및 대중보건 연구에서 질병예측분야의 중요정보로 활용될 것으로 예상한다.

• 복식문화연구
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• 제29권5호
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• pp.706-718
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• 2021

The purpose of this study is to identify the relationship between experience marketing using makeup services and theme park users' satisfaction, loyalty, and revisit intention. This is because it can identify the usefulness of makeup services and provide implications for effective field marketing strategies. In order to achieve the purpose, 668 users of the theme park were surveyed after convenience screening as research participants. The main theme was the makeup service for visitors to Lotte world, Everland, and Hapcheon Ghost theme park. this study reviewed previous studies and applied them to the makeup service. Based on this, the research model and the hypothesis were established, and as part of the empirical research, the hypothesis was verified through analysis methods such as frequency analysis, reliability verification, factor analysis, and structural equation modeling. The summary of the research results based on empirical analysis is as follows. First, as a result of analyzing experience marketing using makeup services has a positive impact on the satisfaction of customers using theme parks. Second, experience marketing using makeup services has a positive effect on customer loyalty. Third, experience marketing using makeup services has a positive effect on intention to return. Fourth, satisfaction and loyalty were found to affect the intention to return. Based on this research, we hope that the makeup service as experiential marketing can be effectively applied in various fields, and that the research can be used as basic data to make the makeup service into the representative cultural contents marketing.

• 한국인터넷방송통신학회논문지
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• 제21권2호
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• pp.195-203
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• 2021

최근 IT 분야의 주요 기술인 빅데이터는 다양한 산업 분야로 확장되고 있으며 활용 방안에 대한 연구가 활발하게 진행 중이다. 대부분의 인터넷 산업 분야에서 사용자 리뷰는 이용자가 상품 구매를 결정하는 데 많은 도움을 준다. 그러나 방대한 제품 리뷰에서 긍정, 부정적 의미와 도움이 되는 리뷰를 선별하는 과정은 제품 구매 결정에 있어 많은 시간을 요구한다. 따라서 본 논문에서는 빅데이터 분석 기술인 LDA를 이용해 키워드를 분석 및 종합하여 사용자에게 의미 있는 정보를 제공하는 시스템을 설계하고 구현한다. 문서 토픽 추출을 위해 본 연구에서는 국내 도서 산업을 도메인으로 데이터를 크롤링하고, 빅데이터 분석을 실시한다. 이를 통해 사용자 리뷰의 토픽 및 감정단어를 바탕으로 상품에 대한 종합적인 정보를 제공함으로써 구매자에게 도움을 주고 나아가 리뷰 현황 분석을 통해 상품의 전망 또한 파악할 수 있다.

• The Plant Pathology Journal
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• 제35권4호
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• pp.372-380
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• 2019

Pseudomonas syringae pv. actinidiae (Psa) is by far the most important pathogen of kiwifruit. Sustainable expansion of the kiwifruit industry requires the use of Psa-tolerant or resistant genotypes for the breeding of tolerant cultivars. However, the resistance of most existing kiwifruit cultivars and wild genotypes is poorly understood, and suitable evaluation methods of Psa resistance in Actinidia have not been established. A unique in vitro method to evaluate Psa resistance has been developed with 18 selected Actinidia genotypes. The assay involved debarking and measuring the lesions of cane pieces inoculated with the bacterium in combination with the observation of symptoms such as callus formation, sprouting of buds, and the extent to which Psa invaded xylem. Relative Psa resistance or tolerance was divided into four categories. The division results were consistent with field observations. This is the first report of an in vitro assay capable of large-scale screening of Psa-resistance in Actinidia germplasm with high accuracy and reproducibility. The assay would considerably facilitate the breeding of Psa-resistant cultivars and provide a valuable reference and inspiration for the resistance evaluation of other plants to different pathogens.

• 사상체질의학회지
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• 제31권3호
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• pp.19-33
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• 2019

Objectives The network pharmacological study on herbal remedies in Traditional Chinese Medicine (TCM) is actively being carried out based on the TCM databases such as TCMID and TCMSP. It is necessary to select Sasang Constitution-specific (SC-s) herbs from these databases in order to study the prescriptions in Sasang Constitutional Medicine. Methods SC-s herbs and their processing types listed in "Dongyisusebowon Sinchukbon" were searched from TCMID and TCMSP. Results and Conclusions 1. There were total 144 herbs (Soeum 47, Soyang 37, Taeeum 44, Taeyang 16 specific herbs) listed in "Dongyisusebowon Sinchukbon". 2. There were total 130 herbs (Soeum 43, Soyang 37, Taeeum 42, Taeyang 8 specific herbs) searched from TCMID, and total 92 herbs (Soeum 31, Soyang 30, Taeeum 27, Taeyang 4 specific herbs) from TCMID. 3. In some cases, the name given in "Dongyisusebowon Sinchukbon" was different from that in TCMID and TCMSP. It was needed to be careful during the searching process. 4. Although the processing form of some herbs could be searched, there was a significant reduction in the herbal compound information compared to the raw form. It is necessary to reconsider whether or not to use the processing form. 5. Herbal scientific names given in TCMID and TCMSP or used in China and Korea were different each other in some cases. Additional screening process among such herbs would be required based on the efficacy of herbs used in clinical field.

• Biomolecules & Therapeutics
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• 제27권4호
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• pp.349-356
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• 2019

Behavioral analysis in mice provided important contributions in helping understand and treat numerous neurobehavioral and neuropsychiatric disorders. The behavioral performance of animals and humans is widely different among individuals but the neurobehavioral mechanism of the innate difference is seldom investigated. Many neurologic conditions share comorbid symptoms that may have common pathophysiology and therapeutic strategy. The forced swim test (FST) has been commonly used to evaluate the "antidepressant" properties of drugs yet the individual difference analysis of this test was left scantly investigated along with the possible connection among other behavioral domains. This study conducted an FST-screening in outbred CD-1 male mice and segregated them into three groups: high performers (HP) or the active swimmers, middle performers (MP), and low performers (LP) or floaters. After which, a series of behavioral experiments were performed to measure their behavioral responses in the open field, elevated plus maze, Y maze, three-chamber social assay, novel object recognition, delay discounting task, and cliff avoidance reaction. The behavioral tests battery revealed that the three groups displayed seemingly correlated differences in locomotor activity and novel object recognition but not in other behaviors. This study suggests that the HP group in FST has higher locomotor activity and novelty-seeking tendencies compared to the other groups. These results may have important implications in creating behavior database in animal models that could be used for predicting interconnections of various behavioral domains, which eventually helps to understand the neurobiological mechanism controlling the behaviors in individual subjects.

• Mass Spectrometry Letters
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• 제10권1호
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• pp.18-26
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• 2019

We developed a bioanalytical method for simultaneous determination of nine NBOMe derivatives (25H-NBOMe, 25B-NBOMe, 25E-NBOMe, 25N-NBOMe, 25C-NBOH, 25I-NBOH, 25B-NBF, 25C-NBF, and 25I-NBF) in human plasma using liquid chromatography tandem mass spectrometry (LC-MS/MS). Human plasma samples were pre-treated using solid-phase extraction. Separation was achieved on a C18 column under gradient elution using a mobile phase containing 0.1% formic acid in acetonitrile and 0.1% formic acid in water at a flow rate of 0.3 mL/min. Mass detection was performed in the positive ion mode using multiple reaction monitoring. The calibration range was 1-100 ng/mL for all quantitative analytes, with a correlation coefficient greater than 0.99. The intra- and inter-day precision and accuracy varied from 0.85 to 6.92% and from 90.19 to 108.69%, respectively. The recovery ranged from 86.36 to 118.52%, and the matrix effects ranged from 27.09 to 99.72%. The stability was acceptable in various conditions. The LC-MS/MS method was validated for linearity, accuracy, precision, matrix effects, recovery and stability in accordance with the FDA guidance. The proposed method is suitable for reliable and robust routine screening and analysis of nine NBOMe derivatives in forensic field.