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안성태,윤용구,김광범 대한금속재료학회(대한금속학회) 1983 대한금속·재료학회지 Vol.21 No.1
Crevice corrosion properties of Ti-0.2 wt.% Pd alloy and pure Ti in hot 6% NaCl solution were investigated. Pure Ti specimens exhibited severe corrosion, while Ti-0.2% Pd alloy specimens were virtually immune to crevice corrosion in an accelerated test. An electrochemical polarization technique was used to determine the effect of Pd-addition to Ti. It was found that Ti-0.2% Pd alloy retained passivity in an acid solution of the same concentration developed in the crevice. This result indicates that Pd acts as a cathodic depolarizer to shift the potential of Ti in the noble direction. It is therefore concluded that small addition, namely, 0.2% of Pd effectively improves the resistance of Ti to crevice corrosion in a hot brine.
수두증 환자 치료를 위한 프로그램 밸브 단락 장치의 이용
안성태,유도성,조경석,김재건,허필우,김달수,강준기 대한신경외과학회 2002 Journal of Korean neurosurgical society Vol.31 No.2
Objective:The goal of this study was to clarify the value of the programmable valve shunt system to readjust the pressure noninvasively for the adequate cerebrospinal fluid(CSF) drainage. Methods:The authors analyzed a single-center retrospective study of 54 patients suffering from hydrocephalus of various causes, as aneurysm(21 patients), trauma(13 patients), normal-pressure hydrocephalus(NPH, 7 patients) and so on. In 51 cases a programmable valve was implanted at the first shunt implantation. In three cases the shunt was replaced to a programmable valve system. Results:In 33 patients(61%) of cases valve pressure adjustment was required at least once(total number of readjustment 54, mean 1.7, maximum 5) for the reason of underdrainage(36) or overdrainge(18). The range of reprogrammed valve pressure was 10 to 90mmH2O(mean 11.1±15.9mmH2O), the radiological finding improved 48.6% of frontal horn index at the beginning of reprogramming to 41.3%, and the clinical symptom related with hydrocephalus improved in 29 patients(87.8%) of pressure adjustment. Shunt reprogramming was necessary in patients with congenital hydrocephalus(100%), aneurysm(55%), NPH(71%), trauma(50%);the programmable valve proved particularly beneficial for overdrainge as subdural hygroma. Conclusion:The programmable valve was useful for the correction of overdrainge or underdrainage by the easy control of valve pressure without any invasive procedure. Key words:Hydrocephalus;Programmable valve shunt system;Cerebrospinal fluid drainage.
1540 ℃ 에서 W-Ni-Fe 3 원상태도의 열역학적 계산
안성태 대한금속재료학회(대한금속학회) 1981 대한금속·재료학회지 Vol.19 No.11
Liquids-α two phase region of W-Ni-Fe system at 1540℃ has been calculated thermodynamically from ternary regular solution model of Meijering, Kaufman and Bernstein. The results have been compared with the experimental liquidus line and the solidus line calculated from experimental liquidus data and two equations of ternary equilibrium conditions. The deviation between the calculated and the experimental liquidus lines becomes greater as the Fe/Ni ratio increases, which is expected to be resulted from the simplified ternary regular solution model. The two solidus lines show relatively good agreement, especially when Fe/Ni ratio is low.
사망 예측 모델 (Mortality probability Model 2) 을 이용한 중환자 사망분석
안성태,이준희,백광제,김준식,한승백,신동운,김아진 대한외상학회 2001 大韓外傷學會誌 Vol.14 No.2
Background: The mortality probability model(MPM) II is a system that can predict the mortality of intensive care unit patients and calculate a mortality probability for each patients and each intensive care unit. Thus, it can be used for quality assessment of intensive care units. To determine the validation and usefulness of the MPM II model, we calculated expected mortality probabilities for real intensive care unit patients by using the MPM II model, and we compared the results with the observed mortality. Materials and Methods : One hundred ICU patients (males 69, females 31, average age 59.5±16.2 years old) who were admitted to intensive care units were included for study. Among the 100 patients, 48 patients survived, and 52 patients expired in the hospital. MPM_0 (a mortality probability at ICU admission) and MPM_(24)(a mortality probability at 24 hr after admission) were calculated. Results: Both the MPM_0 and the MPM_(24) have an excellent ability to predict mortality (Hosmer-Lemeshow goodness of fit tests, p=0.4955 (MPM_0), p=0.8226 (MPM_(24)) and to discriminate death from survival (area under the ROC curve=0.919 (MPM_0), 0.956 (MPM_(24)). The observed mortality was larger than the expected mortality in both the MPM_0 and the MPM_(24). Conclusion: As a result of above, the MPM II model has an excellent power of mortality prediction and discrimination and can be a useful tool for quality assessment of intensive care units.