• Genomics & Informatics
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• 제19권4호
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• pp.36.1-36.11
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• 2021

Predicting individual traits and diseases from genetic variants is critical to fulfilling the promise of personalized medicine. The genetic variants from genome-wide association studies (GWAS), including variants well below GWAS significance, can be aggregated into highly significant predictions across a wide range of complex traits and diseases. The recent arrival of large-sample public biobanks enables highly accurate polygenic predictions based on genetic variants across the whole genome. Various statistical methodologies and diverse computational tools have been introduced and developed to computed the polygenic risk score (PRS) more accurately. However, many researchers utilize PRS tools without a thorough understanding of the underlying model and how to specify the parameters for the best performance. It is advantageous to study the statistical models implemented in computational tools for PRS estimation and the formulas of parameters to be specified. Here, we review a variety of recent statistical methodologies and computational tools for PRS computation.

• Korean Journal of Radiology
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• 제21권7호
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• pp.829-837
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• 2020

Objective: The aim of this study was to investigate the prognostic value of the maximum standardized uptake value (SUV_max) measured while restaging with F-18 fluorodeoxyglucose (¹⁸F-FDG) positron emission tomography/computed tomography (PET/CT) to predict the 3-year post-recurrence survival (PRS) in patients with recurrent gastric cancer after curative surgical resection. Materials and Methods: In total, 47 patients with recurrent gastric cancer after curative resection who underwent restaging with ¹⁸F-FDG PET/CT were included. For the semiquantitative analysis, SUV_max was measured over the visually discernable ¹⁸F-FDG-avid recurrent lesions. Cox proportional-hazards regression models were used to predict the 3-year PRS. Differences in 3-year PRS were assessed with the Kaplan-Meier analysis. Results: Thirty-nine of the 47 patients (83%) expired within 3 years after recurrence in the median follow-up period of 30.3 months. In the multivariate analysis, SUV_max (p = 0.012), weight loss (p = 0.025), and neutrophil count (p = 0.006) were significant prognostic factors for 3-year PRS. The Kaplan-Meier curves demonstrated significantly poor 3-year PRS in patients with SUV_max > 5.1 than in those with SUV_max ≤ 5.1 (3-year PRS rate, 3.5% vs. 38.9%, p < 0.001). Conclusion: High SUV_max on restaging with ¹⁸F-FDG PET/CT is a poor prognostic factor for 3-year PRS. It may strengthen the role of ¹⁸F-FDG PET/CT in further stratifying the prognosis of recurrent gastric cancer.

• Journal of Electrical Engineering and Technology
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• 제13권1호
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• pp.89-96
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• 2018

When a fault occurs in a power system, the existing analytic models for the power system fault diagnosis could generate multiple solutions under the condition of one or more protective relays (PRs) and/or circuit breakers (CBs) malfunctioning, and/or an alarm or alarms of these PRs and/or CBs failing. Therefore, this paper presents an improved analytic model addressing the above problem. It takes into account the interaction between the uncertainty involved with PR operation and CB tripping and the uncertainty of the alarm reception, which makes the analytic model more reasonable. In addition, the existing analytic models apply the penalty function method to deal with constraints, which is influenced by the artificial setting of the penalty factor. In order to avoid the penalty factor's effects, this paper transforms constraints into an objective function, and then puts forward an improved immune clonal multi-objective optimization algorithm to solve the optimal solution. Finally, the cases of the power system fault diagnosis are served for demonstrating the feasibility and efficiency of the proposed model and method.

• Journal of Nutrition and Health
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• 제57권2호
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• pp.211-227
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• 2024

본 연구에서는 해조류 섭취와 염증과 관련된 유전자의 변이 및 다유전자 위험 점수 간의 상호작용이 염증에 미치는 영향을 확인하였다. 남성과 여성 모두 PRS가 높은 그룹에서 염증 발생 위험은 증가하였다. 본 연구에서는 해조류의 섭취가 염증과 직접적인 관련이 있는 것으로 밝혀지지 않았지만, 해조류 섭취와 다유전자 위험 점수 변이 사이에선 통계적으로 유의한 결과를 보였다. 특히, 낮은 해조류의 섭취는 높은 다유전자 위험 점수를 가진 여성에서 고염증 발생 위험이 높았다. 따라서 본 연구결과는 한국인에게서 작용하는 염증 및 염증질환에 대한 유전자 소인을 파악할 수 있고 면역 체계의 균형 및 건강 유지에 새로운 중재방안을 제시할 수 있음을 기대한다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2022년도 추계학술대회
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• pp.383-384
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• 2022

Gas Combustion Unit (GCU) onboard liquefied natural gas carriers handles boil-off to stabilize tank pressure. There are many factors for LNG cargo operators to take into consideration to determine whether to use GCU or not. Gas consumption of main engine and re-liquefied gas through the Partial Re-Liquefaction System (PRS) are good examples of these factors. Human gas operators have decided the operation so far. In this paper, some deep learning neural network models were developed to provide human gas operators with a decision support system. The models consider various factors specially into GCU operation. A deep learning model with Sigmoid activation functions in input layer and hidden layers made the best performance among eight different deep learning models.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.72-77
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• 2002

미국에서는 품질 관리 문제를 해결할 수 있는 아이디어로 지급(Pay) Factor가 사용되어왔으며 현재는 생애주기비용까지 고려한 한층 진보된 지급조정모델 개발에 많은 관심을 가지고 있다. 하지만 이러한 지급조정모델절차의 개발은 품질특성변수 선택의 문제, 품질특성변수의 확률적 분포와 도로 공용성간의 관계 분석의 문제, 그리고 하나의 전체 지급조정모델 개발의 문제 등으로 미 교통부에서 어려움을 가지고 있다. 본 논문에서는 이러한 점을 극복하기 위한 방법론으로 생애주기비용분석을 고려한 몬테카를로 시뮬레이션 접근 방식이 사용되었다. 미 여러 교통부에서 적용 가능한 견본이 될 수 있도록 현 위스콘신 교통국에서 사용중인 도로관리 관련 시스템들에서 데이터를 축출하여 지급조정을 격정하기 위한 분석 절차를 제시하고 이를 근간으로 지급조정모델 결정 지원 시스템을 개발하였으며 민감도 분석을 실행하여 실제 데이터를 사용하여 개발된 지급조정모델의 적정성을 평가하였다. 본 논문에서 사용된 지급조정모델 개발 절차는 한층 정확성을 높인 도로공용성예측모델과 생애주기비용모델을 사용함으로써 실제 프로젝트에 사용 가능할 것으로 판단된다.

• Geomechanics and Engineering
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• 제30권1호
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• pp.75-91
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• 2022

This paper aims to show how to use several Machine Learning (ML) methods to estimate the TBM penetration rate systematically (TBM-PR). To this end, 1125 datasets including uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), punch slope index (PSI), distance between the planes of weakness (DPW), orientation of discontinuities (alpha angle-α), rock fracture class (RFC), and actual/measured TBM-PRs were established. To evaluate the ML methods' ability to perform, the 5-fold cross-validation was taken into consideration. Eventually, comparing the ML outcomes and the TBM monitoring data indicated that the ML methods have a very good potential ability in the prediction of TBM-PR. However, the long short-term memory model with a correlation coefficient of 0.9932 and a route mean square error of 2.68E-6 outperformed the remaining six ML algorithms. The backward selection method showed that PSI and RFC were more and less significant parameters on the TBM-PR compared to the others.

• 환경영향평가
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• 제23권2호
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• pp.101-111
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• 2014

The research was carried out in order to find climate factors which determine the distribution of Neolitsea sericea, and the potential habitats (PHs) under the current climate and three climate change scenario by using species distribution models (SDMs). Four climate factors; the minimum temperature of the coldest month (TMC), the warmth index (WI), summer precipitation (PRS), and winter precipition (PRW) : were used as independent variables for the model. Three general circulation models under A1B emission scenarios were used as future climate scenarios for the 2050s (2040~2069) and 2080s (2070~2099). Highly accurate SDMs were obtained for N. sericea. The model of distribution for N. sericea constructed by SDMs showed that minimum temperature of the coldest month (TMC) is a major climate factor in determining the distribution of N. sericea. The area above the $-4.4^{\circ}C$ of TMC revealed high occurrence probability of the N. sericea. Future PHs for N. sericea were projected to increase respectively by 4 times, 6.4 times of current PHs under 2050s and 2080s. It is expected that the potential of N. sericea habitats is expanded gradually. N. sericea is applicable as indicator species for monitoring in the Korean Peninsula. N. sericea is necessary to be monitored of potential habitats.

• 환경영향평가
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• 제26권5호
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• pp.291-302
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• 2017

본 연구는 사스레피나무의 분포를 규정하는 기후요인과 종분포 모델을 이용하여 현재기후와 미래기후에서의 잠재생육지를 분석하기 위해 수행되었다. 4개 기후요인(온량지수, 최한월최저기온, 하계강수량, 동계강수량)은 모델에서 독립변수로 사용하였다. 17개 전지구 기후모델(GCMs; General Circulation Models)에 의한 RCP(대표농도경로) 8.5 시나리오를 2050년(2040~2069)과 2080년(2070~2099)의 미래기후로 사용하였다. 사스레피나무(Eurya japonica)에 대한 종분포 모델은 높은 분포예측 모델로 구축되었다. 사스레피나무의 분포모델에서 최한월최저기온이 사스레피나무 분포를 규정하는 주요 기후요인으로 분석되었다. 최한월최저기온 $-5.7^{\circ}C$이상 지역은 사스레피나무의 높은 출현확률을 나타내었다. 사스레피나무의 잠재 생육지는 2050년과 2080년에서 현재기후에서 보다 각각 2.5배, 3.4배 증가되었으며, 기후변화에 의해 점점 확대될 것으로 판단되었다. 사스레피나무는 한반도에서 기후변화 지표종으로 가능하며, 잠재 생육지를 모니터링 할 필요가 있다.

• Safety and Health at Work
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• 제12권1호
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• pp.57-65
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• 2021

Background: The objective of this study was to elucidate the relationships musculoskeletal pains with combined vulnerability in terms of age, gender, and employment status Methods: The fifth European Working Conditions Survey (EWCS) in 2010 (43,816 participants aged 15 years and over) analyzed for European employees and the third Korean Working Conditions Survey (KWCS) in 2011 (50,032 participants aged 15 years and older) analyzed for Korean employees. In this study, three well known vulnerable factors to musculoskeletal pains (older age, female gender, and precarious employment status) were combined and defined as combined vulnerability. Associations of musculoskeletal pains with combined vulnerability were assessed with prevalence ratios (PRs) and 95% confidence intervals (CIs) estimated by Poisson regression models with robust estimates of variance. Results: The prevalences of musculoskeletal pains were lower but the absolute and relative differences between combined vulnerabilities were higher among Korean employees compared with the European employees. Furthermore, the increased risk of having musculoskeletal pains according to combined vulnerability was modestly explained by socioeconomic factors and exposure to ergonomic risk factors, especially in Republic of Korea. Conclusions: The results of this study showed that the labor market may be more unfavorable for female and elderly workers in Republic of Korea. Any prevention strategies to ward off musculoskeletal pains, therefore, should be found and implemented to mitigate or buffer against the most vulnerable work population, older, female, and precarious employment status, in Republic of Korea.