• Journal of Preventive Medicine and Public Health
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• v.55 no.5
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• pp.424-427
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• 2022

A retrospective record-linkage study (RLS) based on medical records containing drug prescription histories involves immortal time bias (ITB). Thus, it is necessary to control for this bias in the research planning and analysis stages. Furthermore, a summary of a meta-analysis including RLSs that did not control for ITB showed that specific drugs had a preventive effect on the occurrence of the disease. Previous meta-analytic results of three systematic reviews evaluating the association between statin intake and gastric cancer risk showed that the summary hazard ratio (sHR) of the RLSs was lower than 1 and was statistically significant. We should consider the possibility of ITB in the sHR of RLSs and interpret the results carefully.

• Medical Lasers
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• v.9 no.2
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• pp.126-133
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• 2020

Recurrent respiratory papillomatosis (RRP) is a benign tumor that occurs in the respiratory tract, especially in the larynx. The etiology of RRP is human papillomavirus (HPV). According to the age of occurrence, RRP is divided into childhood-onset and adult-onset types. Generally, childhood-onset RRP shows a high recurrence rate and diffuse involvement in the respiratory tract. Adult-onset RRP is more localized and appears more frequently as a solitary lesion. It may be the result of sexual transmission or the proliferation of latent HPV infections. At present, the treatment of choice for RRP is CO₂ laser ablation. In addition, pulse dye laser or KTP (KTiOPO: potassium-titanyl-phosphate) lasers are also used. Non-surgical adjuvant therapies can be applied in cases requiring repetitive surgery or with diffuse extensions. This review will introduce the clinical features of RRP and various treatment options including lasers.

• Journal of Hydrogen and New Energy
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• v.33 no.4
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• pp.318-329
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• 2022

This study analyzed keyword networks and Author's Affiliation networks of hydrogen-related papers published in Korea Citation Index (KCI) journals from 2016 to 2020. The study investigated co-occurrence patterns of institutions over time to examine collaboration trends of hydrogen scholars. The study also conducted frequency analysis of keyword networks to identify key topics and visualized keyword networks to explore topic trends. The result showed Collaborative research between institutions has not yet been extensively expanded. However, collaboration trends were much more pronounced with local universities. Keyword network analysis exhibited continuing diversification of topics in hydrogen research of Korea. In addition centrality analysis found hydrogen research mostly deals with multi-disciplinary and complex aspects like hydrogen production, transportation, and public policy.

• Annual Conference of KIPS
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• 2010.11a
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• pp.557-560
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• 2010

고성능의 보급형 디지털 영상장비와 레이저프린터의 보급으로 인해 인쇄물의 불법적인 위변조가 사회적 문제로 대두되고 있고, 관련 범죄 또한 증가하는 추세이다. 이에 따라 디지털 포렌식 기술에 기반한 촬영 및 인쇄기기 식별 기술들이 연구되고 있다. 본 논문에서는 인쇄기기별 특성에서 기인하는 인쇄물의 노이즈 특성을 이용해 인쇄기기를 판별하는 알고리즘을 제안한다. 이산 웨이블릿 변환과 위너 필터를 이용한 노이즈 특성 추출 방법을 설명하고, 추출된 노이즈 특성에서 명암도 동시발생 행렬을 계산하고 왜도, 첨도, 공분산, 상관계수의 특징을 추출하였다. 추출한 특징을 서포트 벡터 머신에 적용하여 디지털 인쇄기기의 제조사와 모델을 판별하였다. 제안한 알고리즘의 성능을 분석하기 위하여 7대 프린터에서 각 371장씩 출력된 총 2,597장 이미지로 실험하였고, 제안한 알고리즘이 기존 방법에 비하여 높은 정확률을 나타냄을 보였다.

• Annual Conference of KIPS
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• 2009.04a
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• pp.106-109
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• 2009

Recently, image matching becomes important in Computer Aided Diagnosis (CAD) due to the huge amount of medical images. Specially, texture feature is useful in medical image matching. However, texture features such as co-occurrence matrices can't describe well the spatial distribution of gray levels of the neighborhood pixels. In this paper we propose a frequency domain-based texture feature extractor that describes the local spatial distribution for medical image retrieval. This method is based on 2D Local Discrete Fourier transform of local images. The features are extracted from local Fourier histograms that generated by four Fourier images. Experimental results using 40 classes Brodatz textures and 1 class of Emphysema CT images show that the average accuracy of retrieval is about 93%.

• Journal of Wellbeing Management and Applied Psychology
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• v.5 no.4
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• pp.33-37
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• 2022

Purpose: This study aims to understand the trend and central concept of domestic researches on laughter therapy. For the analysis, this study used total 72 theses verified by inputting the keyword 'laughter therapy' from 2007 to 2021. Research design, data and methodology: This study performed the development and analysis of keyword co-occurrence network, analyzed the types of researches through topic modeling, and verified the visualized word cloud and sociogram. The keyword data that was cleaned through preprocessing, was analyzed in the method of centrality analysis and topic modeling through the 1-mode matrix conversion process by using the NetMiner (version 4.4) Program. Results: The keywords that most appeared for last 14 years were laughter therapy, depression, the elderly, and stress. The five topics analyzed in thesis data from 2007 to 2021 were therapy, cognitive behavior, quality of life, stress, and the elderly. Conclusions: This study understood the flow and trend of research topics of domestic laughter therapy for last 14 years, and there should be continuous researches on laughter therapy, which reflects the flow of time in the future.

• The Ewha Medical Journal
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• v.40 no.3
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• pp.99-103
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• 2017

Antimicrobials were one of the great invention of modern era. However, the abuse of antimicrobial both in human and animals has led to a high rate of occurrence of antimicrobial resistant microbes. Disease treatment caused by antimicrobial resistant microbes including superbacteria has emerged as critical issue worldwide. Communication and cooperation among researchers in diverse fields are needed to solve the resistance to antimicrobials. Culture Collection of Antimicrobial Resistant Microbes (CCARM) has taken a leadership role an intermediary among various research fields by providing certified antimicrobial resistant microbes with their information since 1999. CCARM collects antimicrobial resistant microbes from clinical, agricultural animals and products, and environmental fields, and classifies and stores them according to their origins, species and antimicrobial resistance mechanisms. CCARM is performing the roles (collection, deposit, preservation, distribution, service, and consulting) of Biological Resource Center designated by Organisation for Economic Co-operation and Development.

• Analytical Science and Technology
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• v.36 no.5
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• pp.224-235
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• 2023

An analytical method was developed for the determination of phenol (P) and the seven substituted phenols in water samples and fish tissue samples collected from three streams located in eastern Gangwon State in spring and summer. The phenols were extracted and then derivatized to phenyl acetates using acetic anhydride. The derivatives were subsequently identified and quantified using gas chromatography coupled with mass spectrometry. P and 4-nitrophenol (4NP) were found at relatively high levels in water, ranging from below the method detection limit (MDL) to 3.32 ㎍/L and from < MDL to 4.91 ㎍/L, respectively. P and 4NP were also the dominant compounds in the fish tissue, ranging from < MDL to 407 ㎍/kg and from < MDL to 870 ㎍/kg, respectively. Phenol concentrations were significantly higher in spring than in summer. The ecological risk quotient calculated for P was higher than 4NP but not high enough to pose any risk of adverse effects to fish health.

• Asia pacific journal of information systems
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• v.31 no.1
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• pp.121-140
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• 2021

The main purpose of this research is to understand the strongest predictors of wearable adoption among athletes with an emphasis on the perceived ethics of biometric data. We performed a word co-occurrence study of biometrics research to determine the ethical constructs of biometric data. A questionnaire incorporating the Unified Theory of Acceptance and Use of Technology (UTAUT), Health Belief Model and Biometric Data Ethics was then designed to develop a neural network model to predict the adoption of wearable sensors among athletes. Our model shows that wearable adoption's strongest predictors are perceived ethics, perceived profit, and perceived threat; which can be categorized as professional stressors. The key theoretical contribution of this paper is to extend the literature on UTAUT by developing a predictive modeling of factors affecting acceptance of wearables by athletes, and highlighting the ethical implications of athlete's adoption of wearables.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.459-461
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• 2024

본 논문은 국내 정보보안 분야 학술 연구에서 참고문헌 인용행태를 파악하고자 해당 분야 대표 학술지의 인용문헌 현황 및 패턴을 분석하였다. 실험데이터는 "정보보호학회논문지"를 대상으로 수록된 모든 논문과 참고문헌 정보를 수집하고 개별 학술지 및 학술대회의 식별 과정을 통해 구축하였다. 이를 기반으로 참고문헌 현황, 인용나이 통계 분석 결과와 동시출현네트워크 (학술지 및 학술대회)의 생성을 통한 네트워크 중심성 및 시각화 지도를 제시하였다.