http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
오세진,노덕규,김광동,송민규,제도흥,위석오,김태성,OH SE-JIN,ROH DUK-GYOO,KIM KWANG-DONG,SONG MIN-GYU,JE DO-HEUNG,WI SEOG-OH,KIM TAE-SUNG,WHITNEY ALAN R. 한국천문학회 2004 天文學論叢 Vol.19 No.1
In this paper, we introduce the development of the large storage system in order to record the observed space radio signal in the Korean VLBI Network(KVN) with high-speed. The KVN is the Very Long Baseline Interferometery(VLBI) to observe the birth of star, the structure of space by constructing radio telescope with diameter 21m at the Seoul, Ulsan, Jeju from 2001 to 2007 years. To do this, Korea Astronomy Observatory joined the international consortium for developing the high-speed large storage system(Mark 5), which is developed by MIT Haystack observatory. The Mark 5 system based on hard disk has to record up to 1 Gbps the observed space radio signal. The main features of Mark 5 system are as follows; First it is able to directly record the input data to the hard disk without PC1(Peripheral Component Interconnect) internal bus, and the second, it has two hard disk banks, which are able to hot-swap ATA/IDE type very cheap up to 1 Gbps recording and playback. The third is that it follows the international VLBI standard interface hardware(VSI-H). Therefore it can be connect directly the VSI-H type system at the input/output. Finally it also supports e- VLBI(Electronic-VLBI) through the standard Gigabits Ethernet connection.
오세진,성지은,Su Jin Choi,정지향 대한치매학회 2019 Dementia and Neurocognitive Disorders Vol.18 No.2
Background and Purpose: Semantic verbal fluency test is a neuropsychological assessment that can sensitively detect neuropathological changes. Considering its multifactorial features tapping various cognitive domains such as semantic memory, executive function, and working memory, it is necessary to examine verbal fluency performance in association with underlying cognitive functions. The objective of the current study was to investigate semantic fluency patterns of people with mild cognitive impairment (MCI) based on clustering and switching and their relationship with working memory. Methods: Twenty-six individuals with MCI and 23 normal elderly adults participated in this study. A semantic verbal fluency test (animal version) was administered and the performance was analyzed using the following measures: number of correct words, cluster size, and number of switches. Scores of digit forward (DF) and backward span tasks were employed as working memory measures. Results: Analyses of variance revealed significant group differences in the numbers of correct words and switches. Multivariate logistic regression and receiver-operating characteristic analyses showed that the number of switches more sensitively distinguished MCI existence than the number of correct words. Stepwise linear regression analysis showed that DF task and age significantly predicted the number of correct words while only the DF task significantly predicted the number of switches. Conclusions: Decrement in semantic verbal fluency in MCI seems to be associated with impaired switching abilities. Working memory capacity might serve as the underlying cognitive factor related to decreased verbal fluency in MCI.
오세진,강상중,송수근,임동현,김성만,최영식,박요한,차형수 고신대학교(의대) 고신대학교 의과대학 학술지 2000 고신대학교 의과대학 학술지 Vol.15 No.1
Background : Obesity is the prevalent disorder and is a serious public health concern because it is a significant forerunner of major chronic debilitating metabolic disease including diabetes, hypertension, lipid disorders and coronary artherosclerosis. Recently many studies shows that upper-body obesity, particulary increased visceral, abdominal fat, is most strongly associated with metabolic risk factors. The aims of this study were to establish the relationship of body fat and its distribution to metabolic risk factors and the clinical usefulness of waist circumference as a new indices of intra-abdominal fat distribution. Methods : Forty-one non-diabetic patients who visited to the health promotion center of Kosin Medical Center from March, 1998 to June, 1998 were divided into two groups according to the body mass index (BMI) : obese group (BMI≥25kg/m2) and non obese group (BMI<25kg/m2) also were divided into two group according to the waist circumference (W) : center obese group (W>94cm in men and W>80cm in women) and central non obese group (W≤94cm in men and W≤80cm in women). The amount of body fat was measured by bioelectrical impedence method. Insulin resistance was calculated by homeostasis model assessment. Results : The result were as follows. 1) In obese group W and waist/hip ratio (WHP), basal insulin level in men and Smin, C-peptide and atherogenic index in women of obese group were higher than those of non-obese group (p<0.05). Insulin resistance, fat weight and lean body mass in the obese group were higher than those of non-obese group in both sexes (p<0.05). 2) In central obese group BMI, basal insulin level, insulin resistance, fat weight and lean body mass in men and atherogenic index in women were higher than those of central non-obese group. WHR in the central obese type group was higher than of central non-obese group in both sexes (p<0.05). 3) BMI was positively correlated with systolic blood pressure (r=0.32, p<0.05), diastolic blood pressure (r=0.36, p<0.05), insulin resistance (r=0.39, p<0.05), waist circumference (r=0.61, p<0.01), percentage of body fat (r=0.32, p<0.05), fat weight (r=0.61, p<0.01) and lean body mass (r=0.54, p<0.01), but negatively correlated with HDL-cholesterol (r=-0.76, p<0.01). 4) Waist circumference was positively correlated with systolic blood pressure (r=0.46, p<0.01), diastolic blood pressure (r=0.37, p<0.05), fat weight (r=0.37, p<0.05), lean body mass (r=0.37, p<0.05), and WHR (r=0.82, p<0.01). 5) WHR was not significantly correlated with other metabolic risk factors except systolic blood pressure (r=0.39, p<0.05). 6) Fat weight was positively correlated with diastolic blood pressure (r=0.36, p<0.05), insulin resistance (r=0.53, p<0.01), basal insulin level (r=0.53, p<0.01), and percentage of body fat. Conclusion : Conclusively body fat, waist circumference and WHR were positively correlated with metabolic risk factors and waist circumference appeared more useful than WHR.