• Nutrition Research and Practice
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• v.6 no.1
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• pp.68-77
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• 2012

Flavan-3-ols are a subclass of flavonoids found in a variety of foods including teas. The effects of flavan-3-ols on the risk of metabolic syndrome (MetS) have been investigated, generally focusing on tea catechins or individual flavan-3-ol rich foods, but there is little information on dietary flavan-3-ols intake and risk of MetS in population-based studies. In this cross-sectional study, we examined the association between dietary flavan-3-ols intake and the risk of MetS in Korean adults. Subjects comprised 1,827 men and 2,918 women aged 20-69 years whose data was included in the 2008 Korean National Health and Nutrition Examination Survey. This survey was conducted between January 2008 and December 2008. Total flavan-3-ols intakes were calculated from 24-hour dietary recalls using a flavonoids database. Thirty percent of the male subjects and 24% of the female subjects were reported as having MetS. In the female subjects, flavan3-ols intake was inversely associated with the risk of MetS after adjusting for potential confounders (5th vs. 1st quintile, OR=0.64, 95% CI=0.45-0.91, P for trend=0.384). The main food source of flavan-3-ols was green tea followed by apples and grapes. Among MetS components, flavan-3-ols intake was inversely associated with the risk of high blood pressure after adjusting for potential confounders (5th vs. 1st quintile, OR=0.64, 95% CI=0.45-0.90, P for trend=0.005). No significant association between flavan-3-ols intake and risk of MetS was found in the male subjects. After stratified analysis by obesity (BMI ${\geq}$ 25 or BMI < 25), however, flavan3-ols intake was inversely related to the risk of hypertension in non-obese men. These results suggest that dietary flavan-3-ols intake may have beneficial effects on MetS risk by reducing the risk of hypertension. The effects of flavan-3-ols intake dependent on obesity need further investigation.

• Physical Therapy Rehabilitation Science
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• v.9 no.3
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• pp.165-170
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• 2020

Objective: To investigate the association between one-leg standing ability and postural control for chronic hemiparetic stroke. Design: Cross-sectional study. Methods: Forty individuals who had a first diagnosis of stroke with hemiparesis before six months and over had participated in this study. To analyze the relationship between one-leg standing ability and postural control in the participants, six clinical measurement tools were used for assessment, including the Timed-Up-and-Go (TUG) test, Berg Balance Scale (BBS), Dynamic Gait Index (DGI), Fugl-Meyer Assessment (FMA), 5 times sit-to-stand (5TSTS) and one-leg standing (OLS). Results: After analyzation, the OLS scores in the more-affected side showed significant positive correlations with BBS scores (r=0.469, p<0.01), DGI scores (r=0.459, p<0.01).and FMA scores (r=0.425, p<0.01). The OLS scores in the more-affected side showed significant negative correlations with TUG score (r=-0.351, p<0.05). The OLS score in the less-affected side showed significant positive correlations with BBS scores (r=0.485, p<0.01), DGI scores (r=0.488, p<0.01) and FMA score (r=0.352, p<0.05). The OLS scores in the less-affected side showed significant negative correlation with TUG scores (r=-0.392, p<0.05) and 5TSTS (r= -0.430, p<0.01). The OLS scores in the more-affected side showed significant positive correlations with the OLS scores in less-affected side (r=0.712, p<0.01). Conclusions: The results of the study suggest that the OLS time may be moderately correlated with static and dynamic postural stabilities and motor recovery following stroke. This study also suggests that the OLS test is as a simple clinical tool for predicting postural control performance for individuals with chronic hemiparetic stroke.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1161-1165
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• 2006

본 연구는 OLS 및 변수선택법에 의해 통계학적 모형의 매개변수를 산정하여 모형의 적용성을 입증하고 하천 주요지점에 대한 홍수위 예측을 통해 홍수예보 및 예측 업무에 기여코자하는데 연구목적이 있다. 다중선형회귀모형을 구성하기 위한 독립변수는 예보지점의 수위/유출량 자료와 상류지점의 수위/유출량 자료, 그리고 유역의 선행 평균강우량 등의 자료를 독립변수로 하여 통계학적 홍수예측을 위한 다중선형 회귀모형을 각각 구성하여 적합성 여부를 판단하였다. 매개변수 산정은 OLS(Ordinary least square root method)와 변수선택(Stepwise)방법에 의해 산정하였으며, 중랑천 유역의 2002년부터 2005년까지의 수문사상 16개를 선정하여 모형에 적용한 결과 두 매개변수 산정방법 모두 30분에서 90분 예측은 상대적으로 정확한 결과를 나타내었으며, OLS 및 변수선택법에 의한 매개변수 산정결과 변수선택법에 의한 방법이 OLS 방법보다는 상관성이나 효율지수면에서 조금 더 정확한 값을 나타내고 있으나 독립변수의 일관성을 감안한다면 변수선택법보다는 OLS방법에 의한 매개변수 산정이 타당할 것으로 사료된다. 기존의 홍수예보 업무에 활용되고 있는 수문학적 홍수예측 모형인 저류함수법의 여러 매개변수 조정에 의한 홍수위 예측 방법보다는 비교적 간단한 통계적 방법에 의한 홍수위 예측 방법으로 홍수예보의 선행시간 확보가 필수적인 중랑천과 같이 유역면적이 작은 중소하천에서의 홍수예보 업무에 효과적으로 이용 가능할 것으로 사료된다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.3
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• pp.28-37
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• 2022

Obstacle Limitation Surface (OLS) is conceptual surface establishing the airspace around aerodromes to be maintained from obstacles to ensure safe aircraft operations. Despite advances in the technologies for aircraft, navigation systems and the development of new flight procedures, the criteria defining OLS have not been amended since its initial establishment, resulting in the overestimation of areas for height restriction. As there were requests to examine OLS at the 12th Air Navigation Conference and the 38th ICAO Assembly, the research on the OLS revision began in earnest and ICAO has proposed Obstacle Free Surface (OFS) and Obstacle Evaluation Surface (OES) as an alternative of the existing OLS. OFS is surfaces where obstacles shall not be permitted, and OES is ones where obstacles be evaluated with an aeronautical study and could be permitted under some conditions. The purpose of this study is to preemptively assess the efficiency and safety of OFS and OES by applying them to the second runway (15L/33R) of Incheon International Airport. The results show that OFS and OES are capable of serving the instrument flight procedure safely with a smaller obstacle clearance area compared to the existing OLS.

• The Korean Journal of Applied Statistics
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• v.14 no.2
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• pp.273-287
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• 2001

90년대 말 이후 우리나라가 극심한 경제 불황을 겪으면서 구조조정을 c통한 시장기능의 회복에 관심이 집중되고 있다. Pigou에 의하면 소비함수를 통한 실질자산효과로 불황하에도 시장의 가격기구를 통해 장기균형에 달성이 가능하다는 것이다. 본 논문은 이와 같이 실질자산효과를 Phillips-Hansen의 FM-OLS 공적분추정으로 실증분석을 수행하였는데 분석결과에 의하면 우리나라의 경우 Pigou가 주장한 실질자산효과가 거의 없는 것으로 나타나 실질자산효과가 정책적으로 고려의 대상이 되는지의 여부는 충분히 검토되어야 할 것이다. 더구나 실질자산효과의 크기는 물가의 신축성의 정도에 따라 달라지는데 우리나라의 경우 물가의 신축성에 많은 제약이 있기 때문에 현실적으로는 실질자산효과가 더욱 축소되어 나타날 것으로 보인다. 결과적으로 실질자산효과에 의한 소비증가가 IS곡선을 이동시킬 만큼 충분치 못할 것으로 판단된다.

• Nuclear Engineering and Technology
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• v.53 no.3
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• pp.842-850
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• 2021

Real Time Simulation (RTS) has long been used in the nuclear power industry for operator training and engineering purposes. And, Online Simulation (OLS) is based on RTS and with connection to the plant information system to acquire the measurement data in real time for calibrating the simulation models and following plant operation, for the purposes of analyzing plant events and providing indicative signs of malfunctioning. An OLS system has been developed to support PWR operations for CPR1000 plants. The OLS system provides graphical user interface (GUI) for operators to monitor critical plant operations for preventing faulty operation or analyzing plant events. Functionalities of the OLS system are depicted through the maneuvering of the GUI for various OLS functional modules in the system.

• Journal of Korean Institute of Industrial Engineers
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• v.37 no.1
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• pp.74-82
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• 2011

The Bass model is a cornerstone in diffusion theory which is used for forecasting demand of durables or new services. Three well-known estimation methods for parameters of the Bass model are Ordinary Least Square (OLS), Maximum Likelihood Estimator (MLE), Nonlinear Least Square (NLS). In this paper, a hybrid method incorporating OLS and NLS is presented and it's performance is analyzed and compared with OLS and NLS by using simulation data and empirical data. The results show that NLS has the best performance in terms of accuracy and our hybrid method has the best performance in terms of stability. Specifically, hybrid method has better performance with less data. This result means much in practical aspect because the avaliable data is little when a diffusion model is used for forecasting demand of a new product.

• Korean Journal of Remote Sensing
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• v.27 no.1
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• pp.69-74
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• 2011

It may be an important issue to estimate population of a concerned country. In this study, an appropriate variable was selected to establish a model which fits best the relationship between the night time imagery of DMSP-OLS and population data. Exponential model was selected which was proposed by previous study. Accuracy validation was also performed for each variable extracted from the night time imagery of DMSP-OLS. Consequently, the model showed high accuracy when applied to the area of a certain amount of light was existed. However, further consideration should be necessary when to applied other country or other part of regions.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.533-542
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• 2020

This study estimates the nature of the relationship of entrepreneurship and business confidence on youth unemployment in the Philippines over the 2001-2017 period. The paper employed a range of cointegrating regression models, namely, autoregressive distributed lag (ARDL) bounds testing approach, Johansen-Juselius (JJ) and Engle-Granger (EG) cointegration models, dynamic OLS, fully modified OLS, and canonical cointegrating regression (CCR) estimation techniques. The Granger causality based on error correction model (ECM) was also performed to determine the causal link of entrepreneurship and business confidence on youth unemployment. The ARDL bounds testing approach, Johansen-Juselius (JJ) and Engle-Granger (EG) cointegration models confirmed the existence of long-run equilibrium relationship of entrepreneurship and business confidence on youth unemployment. The long-run coefficients from JJ and dynamic OLS show significant long-run and positive relationship of entrepreneurship and business confidence on youth unemployment. While results of the long-run coefficients from fully modified OLS and canonical cointegrating regression (CCR) found that only entrepreneurship has significant and positive relationship with youth unemployment in the long-run. The Granger causality based on error correction model (ECM) estimates show evidence of long-run causal relationship of entrepreneurship and business confidence on youth unemployment. In the short-run, increases in entrepreneurship and business confidence causes youth unemployment to decrease.

• BMB Reports
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• v.46 no.10
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• pp.501-506
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• 2013

Oligodendrocyte precursor cells (OPCs) are most susceptible to oxidative stress in the brain. However, the cause of differences in susceptibility to oxidative stress between OPCs and mature oligodendrocytes (mOLs) remains unclear. Recently, we identified in vivo that ${\alpha}B$-crystallin (aBC) is expressed in mOLs but not in OPCs. Therefore, we examined in the present study whether aBC expression could affect cell survival under oxidative stress induced by hydrogen peroxide using primary cultures of OPCs and mOLs from neonatal rat brains. Expression of aBC was greater in mOLs than in OPCs, and the survival rate of mOLs was significantly higher than that of OPCs under oxidative stress. Suppression of aBC by siRNA transfection resulted in a decrease in the survival rate of mOLs under oxidative stress. These data suggest that higher susceptibility of OPCs than mOLs to oxidative stress is due, at least in part, to low levels of aBC expression.