• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.240-250
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• 2013

The early detection of suicidal ideation is essential for the prevention of suicide. This study aimed to develop a brief screening tool that can be easily administered in medical settings. The Suicide Risk Screening Tool was designed for use by physicians to provide a screening process that would be reliable, standardized, quick and feasible to implement. A 2-item screening tool was derived from the Screening for Depression and Thoughts of Suicide in the Norton Sound region of Alaska, USA. The scale was modified to reflect the current situation in Korea including the elimination of the personal identification number, and was labeled the Korean Suicide Risk Screening Tool. Its reliability and applicability for medical setting were examined by explanatory study of 7 clinicians. Its validity was examined among a further 325 patients of four different medical institutions, using the results of interviewer-administered survey included demographic, clinical characteristics, and present mental status as the external criterion. A brief 2-item suicide risk screening tool can be used by mental and non-mental health clinicians to accurately detect suicidality in patients.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.514-517
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• 2010

그리드 인프라를 활용하여 대규모 계산 자원이 필요한 가상 스크리닝(Virtual Screening)에 관한 연구가 국제 WISDOM 프로젝트를 중심으로 활발하게 진행 중에 있다. 기존의 연구들은 싱글 클러스터나 개인의 컴퓨터를 중심으로 계산 자원을 활용하는 방식으로 연구가 진행이 되었다. WISDOM을 중심으로 대규모 말라리아(Malaria), 조류 독감(Avian Flu) 에 대한 대규모 신약 후보 탐색에 관한 연구들이 진행이 되었으며 한국과학기술정보연구원(KISTI)의 그리드 개발팀은 2007년도부터 국제 공동 파트너로 연구에 참여하고 있다. 공동연구에 참여하면서 신약 연구 개발자들이 Docking 및 그리드 자원을 활용하기 위한 접근 방식에 있어서 기존 방식들을 활용하기 어려운 점과 검색된 신약 물질을 분석하는 도구의 활용이 어려움이 많아 그리드 기반의 가상스크리닝 도구인 DrugScreenr-G(이하, DSG-G 클라리언트)를 개발하게 되었다. 본 논문은 개발된 DSG-G 클라이언트에 관한 개발 및 구조에 관한 내용이다.

• Proceedings of the KSCN Conference
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• 2000.11a
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• pp.91-91
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• 2000

• Korean Journal of Community Nutrition
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• v.5 no.4
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• pp.772-773
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• 2000

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.19-27
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• 2010

In recent years, high-throughput genome-wide RNA interference screening is emerging as an essential tool to biologists in understanding complex cellular processes. The manual analysis of the large number of images produced in each study spends much time and the labor. Hence, automatic cellular image analysis becomes an urgent need, where segmentation is the first and one of the most important steps. However, those factors such as the region overlapping, a variety of shapes, and non-uniform local characteristics of cellular images become obstacles to efficient cell segmentation. To avoid the problem, a new watershed-based cell segmentation algorithm using a localized segmentation method and a feature vector is proposed in this paper. Localized approach in segmentation resolves the problems caused by a variety of shapes and non-uniform characteristics. In addition, the poor performance of segmentation in overlapped regions can be improved by taking advantage of a feature vector whose component features complement each other. Simulation results show that the proposed method improves the segmentation performance compared to the method in Cellprofiler.

• Journal of the Korean Society of Radiology
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• v.83 no.6
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• pp.1298-1311
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• 2022

Purpose To develop and validate a deep learning-based screening tool for the early diagnosis of scoliosis using chest radiographs with a semi-supervised generative adversarial network (GAN). Materials and Methods Using a semi-supervised learning framework with a GAN, a screening tool for diagnosing scoliosis was developed and validated through the chest PA radiographs of patients at two different tertiary hospitals. Our proposed method used training GAN with mild to severe scoliosis only in a semi-supervised manner, as an upstream task to learn scoliosis representations and a downstream task to perform simple classification for differentiating between normal and scoliosis states sensitively. Results The area under the receiver operating characteristic curve, negative predictive value (NPV), positive predictive value, sensitivity, and specificity were 0.856, 0.950, 0.579, 0.985, and 0.285, respectively. Conclusion Our deep learning-based artificial intelligence software in a semi-supervised manner achieved excellent performance in diagnosing scoliosis using the chest PA radiographs of young individuals; thus, it could be used as a screening tool with high NPV and sensitivity and reduce the burden on radiologists for diagnosing scoliosis through health screening chest radiographs.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.148-155
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• 2020

The purpose of the study was to test the reliability and validity of the Korean version of Pittsburgh Sleep Quality Index (PSQI-K) and to examine the cutoff point of the PSQI-K for screening insomnia among young adults. The subjective quality and patterns of sleep in 64 participants were measured using PSQI-K and Fitbit Charge 3^TM. The properties of the instrument were analyzed using Cronbach's alpha coefficient for the internal consistency reliability, factor analysis for the construct validity, and Spearman's rho correlation coefficient for the correlation between the PSQI-K total scores and Fitbit tracker scores. The Cronbach's alpha coefficient of the PSQI-K was 0.69. The Spearman's rho correlation coefficient between the PSQI-K and Fitbit tracker was higher than 0.67. A cutoff point of ≥6.0 had a sensitivity of 0.93 and a specificity of 0.84. In conclusion, the PSQI-K is a reliable and valid instrument to evaluate sleep disturbance in Korean young adults.

• Journal of the Korea Safety Management & Science
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• v.16 no.3
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• pp.81-88
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• 2014

A number of screening tools have been developed to evaluate the human balance capability. Many of them were designed to identify the elderly with falling risk. Three different screening tools, which have been well used many clinical fields, were used in this study. The purpose of this study was to evaluate balance capability in facilities maintenance workers in korea. There were no statistical significance between male and female when evaluated with three different screening tools. However, significant differences were found among the age groups irrespective of gender when evaluated with three different screening tools. The results of three different screening tools in korea showed poor values compared with previous results. These results revealed that facilities maintenance workers faced more critical falling risk in korea.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.7
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• pp.544-551
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• 2011

The objective of this study was to analyze VIRULO model, a probabilistic quantitative model, which had been developed by US Environmental Protection Agency. The model could assess the viral attenuation capacity of soil as hydrogeologic barrier using Monte Carlo simulation. The governing equations used in the model were composed of unsaturated flow equations and viral transport equations. Among the model parameters, those related to water flow for 11 soil types were from UNDODA data, and those related to 5 virus species were from the literatures. The model compared the attenuation factor with threshold of attenuation to determine the probability of failure and presented the exceedances and Monte Carlo runs as output. The analysis indicated that among 11 USDA soil types, the viral attenuation capacity of loamy sand and sand were far lower than those of clay and silt soils. Also, there were differences in the attenuation in soil among 5 viruses with poliovirus showing the highest attenuation. The viral attenuation capacity of soil decreased sharply with increasing soil water content and increased nonlinearly with increasing soil barrier length. This study indicates that VIRULO model could be considered as a useful screening tool for viral risk assessment in subsurface environment.

• Journal of The Korean Society of Agricultural Engineers
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• v.52 no.6
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• pp.57-62
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• 2010

본 연구는 자유수면형 인공습지에서의 시기적인 중금속 제거율의 변동을 평가하기 위하여 수행되었다. 대상 인공습지의 유입수는 하수처리수가 포함된 하천수이다. 인공습지에는 갈대 (Phragmites australis)와 부들 (Typha latifolia)이 주로 분포하며, 이들 두 종은 습지의 95 % 이상을 차지하는 우점종이다. 2009년 5월부터 9월까지 습지의 유입과 유출부분에서 유입수와 유출수를 시료 채취하였다. 채취된 시료는 ICP-AES 방법을 이용하여 6가지 중금속을 분석하였으며, 위해성 평가를 이용하여 카드뮴 (Cd), 크롬 ($Cr^{+6}$), 비소 (As), 납 (Pb), 니켈 (Ni), 구리 (Cu)의 분석 결과를 평가하였다. 위해성평가는 농부와 레크리에이션에 대한 두가지 시나리오를 바탕으로 이루어졌다. 연평균 중금속 제거율은 계절적인 변화 측면에서 큰 변화를 나타내지 않았다. 위해성 평가 결과 시료가 채취된 부분 및 계절적인 변화 대부분에서 US EPA의 기준인 $10^{-4}$를 초과하지 않는 수준으로 허용가능한 수준이었다. 하지만, 봄철 농부에 대한 위해성평가 결과 위해도가 $10^{-4}$ 수준이며, $10^{-6}-10^{-8}$ 수준은 질병의 이동이 우려되는 수준 (US EPA)임을 감안하여, 인공습지에 중금속 농도 저감 시설의 설치를 고려해야 한다. 본 연구에서는 위해성 평가를 가상의 시나리오에 적용하여 평가를 시도함으로서, 수치적인 자료로 제시할 수 있을 뿐만 아니라 중금속의 정량적인 평가를 수행할 수 있었다. 따라서 위해성 평가는 인공습지의 안전성에 대하여 대중과 소통할 수 있는 도구로서 이용할 수 있으며, 인공습지의 효율적인 운영 및 현장 적용에 있어서 스크리닝 도구로서의 역할이 가능할 것으로 판단된다.