• 동의생리병리학회지
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• 제23권2호
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• pp.433-437
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• 2009

The purpose of this study was to measure circumference of four body parts of each Sasang groups with Bioelectrical Impedance Analysis (BIA), and evaluate its usefulness for Sasang type diagnostic test. We obtained the circumference measures of neck (CN), chest (CC), waist (CW), and hip (CH) of 91 college students using BIA and standardized by sex and age. The validity of Sasang group prediction with CC was evaluated. The Tae-Eum group (104.87${\pm}$5.19, 108.47${\pm}$4.96, 116.00${\pm}$9.39, 110.4${\pm}$5.29. neck, chest, waist and hip, respectively) has significantly (p<0.001) bigger circumferences than So-Yang (97.79${\pm}$3.82, 100.02${\pm}$4.21, 101.02${\pm}$7.88, 101.95${\pm}$4.06) and So-Eum (95.63${\pm}$4.67, 96.93${\pm}$4.80, 97.63${\pm}$7.72, 99.86${\pm}$4.40) groups at very four measures. Discriminant functions with CC can be used for Tae-Eum Sasang type diagnostic test with 91.2% of overall Percentage Correctly Predicted (PCP). Tae-Eum type-specific sensitivity was 73.3% and Tae-Eum type-specific specificity was 94.7%. The strength and weakness of measurement and standardization methods for Sasang type diagnostic test, and the methods for the standardization of physical traits with sex and age were discussed. Our study showed distinctive physical features of Tae-Eum type and the usefulness of BIA for the Sasang type diagnosis.

• Korean Journal of Radiology
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• 제21권4호
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• pp.413-421
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• 2020

Objective: A widely applicable, non-invasive screening method for non-alcoholic fatty liver disease (NAFLD) is needed. We aimed to develop and validate an index combining computed tomography (CT) and routine clinical data for screening for NAFLD in a large cohort of adults with pathologically proven NAFLD. Materials and Methods: This retrospective study included 2218 living liver donors who had undergone liver biopsy and CT within a span of 3 days. Donors were randomized 2:1 into development and test cohorts. CTL-S was measured by subtracting splenic attenuation from hepatic attenuation on non-enhanced CT. Multivariable logistic regression analysis of the development cohort was utilized to develop a clinical-CT index predicting pathologically proven NAFLD. The diagnostic performance was evaluated by analyzing the areas under the receiver operating characteristic curve (AUC). The cutoffs for the clinical-CT index were determined for 90% sensitivity and 90% specificity in the development cohort, and their diagnostic performance was evaluated in the test cohort. Results: The clinical-CT index included CTL-S, body mass index, and aspartate transaminase and triglyceride concentrations. In the test cohort, the clinical-CT index (AUC, 0.81) outperformed CTL-S (0.74; p < 0.001) and clinical indices (0.73-0.75; p < 0.001) in diagnosing NAFLD. A cutoff of ≥ 46 had a sensitivity of 89% and a specificity of 41%, whereas a cutoff of ≥ 56.5 had a sensitivity of 57% and a specificity of 89%. Conclusion: The clinical-CT index is more accurate than CTL-S and clinical indices alone for the diagnosis of NAFLD and may be clinically useful in screening for NAFLD.

• Asian Pacific Journal of Cancer Prevention
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• 제16권3호
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• pp.1139-1143
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• 2015

In order to explore the association between cadherin 13 (CDH13) gene promoter methylation and lung carcinoma (LC) risk, we carried out a meta-analysis with searching of PubMed, Web of Science. Ultimately, 17 articles were identified and analysised by STATA 12.0 software. Overall, we found a significant relationship between CDH13 promoter methylation and LC risk (odds ratio=6.98, 95% confidence interval: 4.21-11.56, p<0.001). Subgroup analyses further revealed that LC risk was increased for individuals carrying the methylated CDH13 compared with those with unmethylated CDH13. Hence, our study identified a strong association between CDH13 gene promoter methylation and LC and highlighted a promising potential for CDH13 methylation in LC risk prediction.

• Clinical and Experimental Pediatrics
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• 제56권2호
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• pp.45-51
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• 2013

Because nonalcoholic steatohepatitis can progress towards cirrhosis even in children, early detection of hepatic fibrosis and accurate diagnosis of nonalcoholic fatty liver disease (NAFLD) are important. Although liver biopsy is regarded as the gold standard of diagnosis, its clinical application is somewhat limited in children due to its invasiveness. Noninvasive diagnostic methods, including imaging studies, biomarkers of inflammation, oxidative stress, hepatic apoptosis, hepatic fibrosis, and noninvasive hepatic fibrosis scores have recently been developed for diagnosing the spectrum of NAFLD, particularly the severity of hepatic fibrosis. Although data and validation are still lacking for these noninvasive modalities in the pediatric population, these methods may be applicable for pediatric NAFLD. Therefore, noninvasive imaging studies, biomarkers, and hepatic fibrosis scoring systems may be useful in the detection of hepatic steatosis and the prediction of hepatic fibrosis, even in children with NAFLD.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2014년도 추계 종합학술대회 논문집
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• pp.61-62
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• 2014

말라리아는 인체에 감염되는 열원충의 종류에 따라 크게 열대열 원충, 삼일열 원충, 사일열 원충, 난형열 원충으로 구분된다. 말라리아는 감염 후 치료시기를 놓칠 경우 사망에 이를 수 있는 위험한 질병이므로 초기 진단을 위한 Rapid Diagnostic Test(RDT) 키트가 중요하다. 기존의 진단키트의 경우, 열대열 말라리아와 삼일열 말라리아를 동시에 검출하여 치료법이 다름에도 불구하고 구분하여 진단하기가 어렵다. 이러한 이유로 본 연구에서는 열대열 말라리아에 특이적인 RDT키트 개발을 위해, PlasmoDB에서 열대열 말라리아 항원 단백질을 얻고 BLAST를 이용하여 열대열 말라리아에 특이적인 항원 단백질 후보군을 얻었다. 이후 감염단계에 따라 우선순위를 정하고 SPpred에서 제공하는 protein solubility prediction을 통해 실험적으로 단백질 발현 가능 여부를 확인한 결과, 최종적으로 histidine-rich protein II, histidine-rich protein III, glycophorin binding protein를 선정하였다. 이들 단백질을 이용한 열대열 말라리아 진단키트 제작은 열대열 말라리아 특이적 진단을 효과적으로 할 수 있다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권2호
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• pp.211-216
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• 2004

Fuzzy neural networks have been successfully applied to analyze/generate predictive rules for medical or diagnostic data. However, most approaches proposed so far have not considered the weights for the membership functions much. This paper presents a neural network with weighted fuzzy membership functions. In our approach, the membership functions can capture the concentrated and essential information that affects the classification of the input patterns. To verify the performance of the proposed model, well-known Iris data set is performed. According to the results, the weighted membership functions enhance the prediction accuracy. The architecture of the proposed neural network with weighted fuzzy membership functions and the details of experimental results for the data set is discussed in this paper.

• 한국대기환경학회지
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• 제33권1호
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• pp.45-53
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• 2017

A high resolution model is proposed for calculating the temperature field of a large city, based upon a Lagrangian particle model. Utilizing the analogy between the heat and mass transport phenomena in turbulent flows, a Lagrangian particle model, originally developed for air pollutant dispersion problems, is adapted for simulating heat transport. In the model conceptual heat particles are released into the atmosphere from the heat sources and move along with the turbulent winds in accordance with the Markov process. The potential temperature assumed to be conserved along with heat particles serves as a tag, so the temperature fields can be deduced from the distribution of particles. The wind fields are constructed from a diagnostic meteorology model incorporating a morphological model designed for building flows. Test run shows the robustness of the modeling system.

• 한국연소학회:학술대회논문집
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• 한국연소학회 2002년도 제25회 KOSCI SYMPOSIUM 논문집
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• pp.231-235
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• 2002

A theoretical and experimental study on the combustion process in a constant volume micro combustor is described. Unlike in a macro scale constant volume combustor, the heat loss to the wall plays a major role in flame propagation in a micro micro combustor. In order to analyze the effect of heat loss on combustion phenomena, pressure transition from ignition was measured. A number of cylindrical micro combustors with different diameter and depth were used for experiment to study the effect of length scales and shape factor. The diameter of combustor ranged from 7.5mm to 22.5 mm and the height of cylinder was from 1mm to 4mm. Initial pressure was also varied for the experiment. The diagnostic methods were severely limited due to the size of the apparatus and uncertainties of certain quantities to be measured in a small-scale environment. An analytical method to derive physical quantities that are essential for performance prediction from the pressure measurements is described.

• Journal of Mechanical Science and Technology
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• 제19권8호
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• pp.1670-1681
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• 2005

In-situ diagnosis of chiller performance is an essential step for energy saving business. The main purpose of the in-situ diagnosis is to predict the performance of a target chiller. Many models based on thermodynamics have been proposed for the purpose. However, they have to be modified from chiller to chiller and require profound knowledge of thermodynamics and heat transfer. This study focuses on developing an easy-to-use diagnostic technique that is based on adaptive neuro-fuzzy inference system (ANFIS). The effect of sample data distribution on training the ANFIS is investigated. It is found that the data sampling over 10 days during summer results in a reliable ANFIS whose performance prediction error is within measurement errors. The reliable ANFIS makes it possible to prepare an energy audit and suggest an energy saving plan based on the diagnosed chilled water supply system.

• International Journal of Reliability and Applications
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• 제2권1호
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• pp.57-71
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• 2001

Global competition to increase production output and to improve quality is spurring manufacturing companies to use condition monitoring and fault diagnostic systems for predictive maintenance. As monitoring, testing, and measuring techniques develop, predictive control of components and complete systems have become more practical and affordable. In this article, we will consider the computer based data acquisition system for condition monitoring and the condition parameter analysis techniques for fault detection and diagnostics in the machinery and briefly discuss reliability prediction and the limit value determination in condition monitoring.