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오병택(Byungtaek Oh),양영명(Young-myung Yang) 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.11
In-ground LNG storage tanks are buried in ground except for the roof, and contact directly with soil at the outside surface of concrete structures. So, a kind of anti-freezing system should be needed to prevent the soil from freezing. A soil’s freezing heavily caused by heat transfer from cryogenic LNG might bring out serious safety problems. That’s the why the additional heating system is installed for the in-ground LNG storage tank. But, this heating system could be used as a freezing system in order to keep the freezing front when a storage tank should be needed to be repaired. The freezing front means the boundary between frozen zone and non-frozen zone. The freezing front should be located near the outside wall of the storage tank to prohibit the underground water’s permeation. In this paper, the way of keeping the freezing front will be introduced to repair the inside of the storage tank. This is a completely contrary concept against the normal operation of a storage tank.
박상균(Sang Kyun Park),황영시(Young Si Hwang),오병택(ByungTaek Oh),이준영(Jun Young Lee),홍승완(Seung Wan Hong),김성희(Sung Hi Kim),김대현(Dae Hyun Kim) 대한임상노인의학회 2017 대한임상노인의학회지 Vol.18 No.2
Background: The relationship between socioeconomic status and cognitive dysfunction is still unknown. The aim of this study is to determine the relationship between cognitive impairment and socioeconomic vulnerability on elderly people in Korea by Korean Longitudinal Study on Aging (KLoSA). Methods: Authors collected data from Korean Longitudinal Study on Aging (KLoSA). Cognitive function was assessed by the Korean version of the mini-mental state examination-Korea (MMSE-K). And, the authors created the socioeconomic vulnerability (SEV) score, consisted of 6 items. Those 6 items are education level, house income, social engagement score, self-related economic satisfaction percentage, private insurance and residence. Results: A total of 4,044 participants were included and 2,045 subjects were classified as cognitive impaired whose MMSE is lower than 23. SEV score was significantly different between normal and cognitive impairment group. Authors divided four SEV groups by SEV severity. Increased SEV score was significantly correlated with cognitive impairment group (Odds ratio SEV Q2: 2.84, Q3: 5.69 and Q4:10.67). In addition, diabetes mellitus (1.29, 1.06∼1.61), depression (1.23, 1.04∼1.46), function (ADL: 2.48, 1.61∼3.82, IADL: 1.95, 1.54∼2.47) also correlated with cognitive impairment. Conclusion: Socioeconomic vulnerability was strongly correlated with cognitive impairment. Depression, diabetes and independent functionality (ADL, IADL) were also significant correlated with cognitive impairment.