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- 저자 : 權線錫 (검색결과 2 건)
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權線錫,金善政,柳秉郁 동아대학교 공과대학 부설 한국자원개발연구소 1989 硏究報告 Vol.13 No.2
A study has been conducted experimentally on natural convection heat transfer characteristics for various Rayleigh number at horizontal and vertical plates with the rectangular corner. The results are as follows : 1) In case of constant Rayleigh number, the mean Nusselt number of the vertical plate is 32.9% more than that of the horizontal plate at Ra=1.680×10⁴. 2) Local Nusselt number is maximum at the leading edge of the vertical plate and is minimum at the end edge of the horizontal palte. 3) The mean Nusselt number of the horizontal plate has 27.6% less than the result of reference 9 at Ra=1.185×10⁴ 4) The mean Nusselt number of the plate combined in horizontal and vertical plates has 24.9% less than the result of reference 9 at Ra=1.185×10⁴
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안혜란,신민호,김혜연,이영훈,권선석,이정애,최진수,최성우 대한가정의학회 2011 Korean Journal of Family Medicine Vol.32 No.3
Background: To compare the predictability of the Framingham Risk Score (FRS), United Kingdom Prospective Diabetes Study (UKPDS) risk engine, and the Systematic Coronary Risk Evaluation (SCORE) for carotid atherosclerosis and peripheral arterial disease in Korean type 2 diabetic patients. Methods: Among 1,275 registered type 2 diabetes patients in the health center, 621 subjects with type 2 diabetes participated in the study. Well-trained examiners measured the carotid intima-media thickness (IMT), carotid plaque,and ankle brachial index (ABI). The subject’s 10-year risk of coronary heart disease was calculated according to the FRS,UKPDS, and SCORE risk scores. These three risk scores were compared to the areas under the curve (AUC). Results: The odds ratios (ORs) of all risk scores increased as the quartiles increased for plaque, IMT, and ABI. For plaque and IMT, the UKPDS risk score provided the highest OR (95% confi dence interval) at 3.82 (2.36, 6.17) and at 6.21 (3.37,11.45). For ABI, the SCORE risk estimation provided the highest OR at 7.41 (3.20, 17.18). However, no signifi cant difference was detected for plaque, IMT, or ABI (P = 0.839, 0.313, and 0.113, respectively) when the AUCs of the three risk scores were compared. When we graphed the Kernel density distribution of these three risk scores, UKPDS had a higher distribution than FRS and SCORE. Conclusion: No signifi cant difference was observed when comparing the predictability of the FRS, UKPDS risk engine, and SCORE risk estimation for carotid atherosclerosis and peripheral arterial disease in Korean type 2 diabetic patients.
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