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      • KCI등재
      • KCI등재

        60-90세 남녀 노인의 신체활동 및 좌업생활에 따른 낙상, 근력, 이동성 평가

        이윤곤,신성훈 한국생활환경학회 2020 한국생활환경학회지 Vol.27 No.5

        The purpose of this study was to identify the relationship between falls, muscle strength, and mobility according to physical activity and sedentary behavior, and to determine whether fall risks, muscle strength, and mobility can be predicted through physical activity and sedentary behavior of older adults living in the community. 70 men and women aged 60-90 years old participated in this experiment. Physical activity and sedentary behavior were assessed through the International Physical Activity Questionnaire (IPAQ), and a fall frequency survey was conducted over the last year. Muscle strength was measured by grip strength and pinch force, respectively, and mobility was evaluated by the Timed Up and Go test. For statistical analysis, first, Pearson's correlation analysis was performed to select potential predictors, and then the selected predictors were selectively inserted into the regression model to perform a stepwise multiple regression analysis, where gender was included as a moderator variable. As a result of the study, physical activity was related to fall frequency and mobility (p<.05), and sedentary behavior was related to fall frequency (p<.05). On the other hand, physical activity, sedentary behavior and muscle strength were not related (p>.05). The main predictor affecting fall frequency was sedentary activity (SA) (16.7%), and the main predictor affecting mobility was total physical activity (TPA) (14.5%). In other words, the longer the SA was, the higher the risk of falls, and the more TPA was, the better the mobility. Therefore, minimizing sedentary behaviour and increasing physical activity time can help prevent falls and maintain mobility in older adults regardless of gender.

      • KCI등재

        Forecast of UV-index over Korea with Improved Total Ozone Prediction and Effects of Aerosols, Clouds and Surface Albedo

        이윤곤,김준,조히구,최병철,김지영,정성래,박일수 한국기상학회 2008 Asia-Pacific Journal of Atmospheric Sciences Vol.44 No.4

        New ultraviolet (UV) index forecast model was developed by using radiative transfer model and improved multiple linear regression for total ozone prediction using new predictors based on extensive investigation on their correlations with total ozone, and new modification factor for clouds, aerosols and surface reflectance. For clear sky case, root mean square error (RMSE) of newly-forecasted UV index with respect to observations is reduced by 16.0% with using improved forecast of total ozone,by 25.2% with cloud modification factor (CMF) applied, and by 32.7% with CMF and aerosol modification factor (AMF) compared to the existing forecast at Korea Meteorological Administration (KMA), which utilized the state-of-the-art UV radiative transfer model together with multiple regression model. The percentage improvement is estimated to be 16.0% through the application of new total ozone forecast, 9.2% with the new CMF, and 7.5% with the new AMF. The accuracy of UV index forecast for cloudy skies is subjected to the errors of next day’s cloud forecast for the modification, but the forecast of UV index for clear sky conditions shows significant improvement.

      • KCI등재

        Cloud Impacts on Korea Shortwave Radiation Budget: Estimation from a Deterministic Model with Surface Measurements

        이윤곤,김재민,정연진,조희구,김준,구자호 한국기상학회 2021 Asia-Pacific Journal of Atmospheric Sciences Vol.57 No.2

        We estimated the Korea Shortwave Radiation Budget (KSRB) providing new insights into the Korea climate system. Monthly averaged clear-sky, overcast-sky, and all-sky flux measurements with cloud amounts from 2000 to 2015 were used to assess the impacts of cloud on the KSRB. A deterministic model for shortwave radiation transfer was utilized with climatological data to compute the monthly mean of KSRB at the surface, in the atmosphere and at the top-of-atmosphere (TOA). For 10 Korean stations ranging from 33.5°N to 37.7°N, the daily mean of incoming solar flux at TOA is 345.2 Wm−2. 45.5% of that is transmitted to the surface, 25.0% is absorbed in the atmosphere and 29.5% is reflected directly back to space by the cloud, atmosphere and ground surface under all-sky conditions. Under clear- and overcast-sky conditions, 63.2% and 24.9% are transmitted to the surface, 17.8% and 37.1% are absorbed in the atmosphere, whereas 19.0% and 38.0% are reflected to space, respectively, showing a remarkably invariant value with respect to locations. Clouds in all- (or overcast-) sky atmosphere diminish surface solar irradiances (SSI) from 218.1Wm−2 to 156.9 Wm−2 (or 85.8Wm−2) and enhance atmospheric absorptions (AA) from 61.5Wm−2 to 86.3Wm−2 (or 128.2 Wm−2). Clouds also enhance the reflected irradiances (RI) at the TOA from 65.6 Wm−2 to 102.0 Wm−2 (or 131.2 Wm−2) for all- (or overcast-) skies. As a result, the all- (or overcast-) sky shortwave (SW) cloud forcing (CF) is −61.2Wm−2 (or −132.3Wm−2) at the surface, AA is 24.8Wm−2 (or 66.7Wm−2) in the atmosphere and RI is 36.4 Wm−2 (or 65.6 Wm−2) at the TOA, respectively. Consequently, it is found that the values for SW-CF at the surface is 1.7 times and 2.0 times greater than that at the TOA in the KSRB under all- and overcast-sky conditions, respectively. We have also compared the KSRB with the global shortwave radiation budget (GSRB) and discussed on the shortwave radiation budget.

      • KCI등재

        다섯 종류의 빛간섭단층촬영기로 측정한 망막신경섬유층 두께 비교

        이윤곤,황영훈 대한안과학회 2018 대한안과학회지 Vol.59 No.3

        Purpose: To compare circumpapillary retinal nerve fiber layer (RNFL) thicknesses as measured using five different optical coherence tomography (OCT) devices. Methods: RNFL thickness was measured in 32 healthy eyes of 32 subjects using a Cirrus HD-OCT (Carl Zeiss Meditec, Dublin, CA, USA), Spectralis OCT (Heidelberg Engineering, Heidelberg, Germany), Topcon DRI OCT (Topcon, Tokyo, Japan), RS-3000 Advance OCT (NIDEK, Aichi, Japan), and RTVue-100 (Optovue, Fremont, CA, USA). Global and quadrant (superior, nasal, inferior, and temporal) RNFL thicknesses were compared using repeated measures analysis of variance, and the agreement among devices was determined using Bland-Altman analyses. Results: The global RNFL thickness was greatest when measured using the Topcon DRI OCT, with a mean value of 107.5 μm. The mean global RNFL thicknesses measured using the RTVue-100, RS-3000 Advance OCT, and Spectralis OCT were 104.9 ± 8.4, 104.4 ± 9.4, 102.5 ± 8.9 μm, respectively. The Cirrus HD-OCT presented the thinnest RNFL measurement, with a mean value of 97.7 ± 8.7 μm (p < 0.01). A similar pattern was found for the quadrant RNFL thicknesses (p < 0.01). Differences in the global RNFL thicknesses among the devices ranged from 0.5 to 9.9 μm. The limits of agreement of the global RNFL thicknesses evaluated by Bland-Altman analyses ranged from 6.8 to 19.6 μm. Conclusions: RNFL thicknesses measured using five different OCT devices were not interchangeable and there was a wide limit of agreement. When interpreting RNFL thickness values determined by different devices, caution is advised. 목적: 다섯 종류의 빛간섭단층촬영기를 이용하여 측정한 시신경유두주위 망막신경섬유층 두께를 비교하고자 한다. 대상과 방법: 정상인 32명의 32안을 대상으로 Cirrus HD-OCT (Carl Zeiss Meditec, Dublin, CA, USA), Spectralis OCT (Heidelberg engineering, Heidelberg, Germany), Topcon DRI OCT (Topcon Inc., Tokyo, Japan), RS-3000 Advance OCT (NIDEK, Aichi, Japan), RTVue-100 (Optovue Inc., Fremont, CA, USA)을 이용하여 시신경유두주위 전체 평균 및 사분면(위쪽, 코쪽, 아래쪽, 귀쪽) 망막신경섬유층 두께를 측정하였다. 각 장비로 측정한 망막신경섬유층 두께를 반복측정분산분석으로 비교하고, Bland-Altman 분석을 통해 일치도를 분석하였다. 결과: 전체 평균 망막신경섬유층 두께는 Topcon DRI OCT로 측정한 값이 평균 107.5 ± 9.0 μm로 가장 컸고, RTVue-100으로 측정한 값이 104.9 ± 8.4 μm, RS-3000 Advance OCT로 측정한 값이 104.4 ± 9.4 μm, Spectralis OCT로 측정한 값이 102.5 ± 8.9 μm였고, Cirrus HD-OCT로 측정한 값이 97.7 ± 8.7 μm로 가장 작았다(p<0.01). 사분면 망막신경섬유층 두께도 전체 평균 두께와 비슷한 양상을 보였다(p<0.01). 검사 장비 간 전체 평균 망막신경섬유층 두께 값의 차이는 0.5에서 9.9 μm였고, Bland-Altman 분석을 통해 산출한 장비 간 전체 망막신경섬유층 두께 일치도 범위(limit of agreement)는 6.8에서 19.6 μm로 나타났다. 결론: 다섯 종류의 빛간섭단층촬영 장비로 측정한 시신경유두주위 망막신경섬유층 두께는 서로 다른 값을 보였고 일치도 범위도 넓었다. 따라서 서로 다른 장비로 측정한 망막신경섬유층 두께 값을 분석할 때 주의해야 할 것이다.

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