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토끼의 혈장내 Aldosterone 농도에 미치는 Aspirin과 Furosemide의 영향
서영진,이권행,김옥녀,이상복,조규철,Suh, Y.J.,Lee, K.H.,Kim, O.N.,Lee, S.B.,Cho, K.C. 대한약리학회 1984 대한약리학잡지 Vol.20 No.2
It has been generally recognized that the secretion of aldosterone is mainly regulated by angiotensin II in animals and humans, however, potassium and ACTH are also proposed as other humoral factors involved in the aldosterone secretory process. Recently, stress, anesthesia, adrenergic stimulation, low sodium intake or water deprivation stimulate plasma renin activity, while high sodium intake and deoxycorticosteroid have been reported to cause suppression of renin activity in animals. It seems that overall response of aldosterone secretory mechanisms reflects complex interactions both intrarenal and extrarenal components. Furosemide has been widely used to investigate the control of renin secretion by the kidney, and the relationship between diuretics and the disposition of endogenous aldosterone were reported (Oh, 1984). The sequential with 10 min interval samples of plasma were collected following administration of furosemide(1 mg/kg), aspirin(10 mg/kg), respectively. And also similar experiment was performed in the propranolol (10 mg/kg) pretreated rabbits. The results were as follows : 1) The concentration of plasma aldosterone was average of $426.I{\sim}485.5pg/ml$ in normal rabbits. Plasma concentrations of aldosterone rised significantly after injection of furosemide during 50 min, and the rise of plasma aldosterone was blocked by the propranolol pretreatment 2) Significant fall in the plasma level of aldosterone after injection of aspirin was noted. This result indicates that the increased secretion of aldosterone induced by furosemide administration is mediated through ${\beta}-receptors$, and the possible role of prostaglandin is substantiated.
김상호(Sang-Ho Kim),서영진(Y. J. Suh),김경남(K. N. Kim),고종국(J. G. Ko),R.S.Ramakrishna(R.S.Ramakrishna) 한국정보과학회 1998 한국정보과학회 학술발표논문집 Vol.25 No.2Ⅲ
Many application in human computer interaction (HCI) require tracking a human face and facial features. In this paper we propose efficient parallel processing system for face tracking under heterogeneous networked workstations. To track a face in the video image we use the skin color information and connected components. In terms of parallelism we choose the master-slave model which has thread for each processes, master and slaves. The threads are responsible for real computation in each process. By placing the queues between the threads we give flexibility of data flowing.