• BMB Reports
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• 제48권11호
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• pp.618-623
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• 2015

FK506 binding protein 12 (FK506BP) is a small peptide with a single FK506BP domain that is involved in suppression of immune response and reactive oxygen species. FK506BP has emerged as a potential drug target for several inflammatory diseases. Here, we examined the protective effects of directly applied cell permeable FK506BP (PEP-1-FK506BP) on corneal alkali burn injury (CAI). In the cornea, there was a significant decrease in the number of cells expressing pro-inflammation, apoptotic, and angiogenic factors such as TNF-α, COX-2, and VEGF. Both corneal opacity and corneal neovascularization (CNV) were significantly decreased in the PEP-1-FK506BP treated group. Our results showed that PEP-1-FK506BP can significantly inhibit alkali burn-induced corneal inflammation in rats, possibly by accelerating corneal wound healing and by reducing the production of angiogenic factors and inflammatory cytokines. These results suggest that PEP-1-FK506BP may be a potential therapeutic agent for CAI.

• 품질경영학회지
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• 제38권1호
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• pp.85-95
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• 2010

In this paper we propose a product-service valuation model which is usable as a decision-making tool in order to attain a competitive advantage in service in the manufacturing industry. With this purpose, service quality, product quality and costs as valuation criteria are selected. Also, the paper utilizes an AHP model in order to differentiate a fuzzy theory and valuation factors to ensure objectivity in the evaluated results while excluding subjective factors in conducting the product-service valuation. Accordingly, the product-service valuation model and valuated results proposed in this paper are expected to be useful as a basic data for decision-making in order to draw competitive advantage strategies of service in the manufacturing industry.

• 한국정밀공학회지
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• 제11권1호
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• pp.219-229
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• 1994

This paper describes an expert system on the cylindrical grinding operations in order to establish the optimum grinding conditions, which satisfy the maximum removal rates, considering the several constraints of grinding power, workpiece burn, chatter vibration and surface roughness. Specialized knowledge of the grinding operations are acquired from the actual operation database. Coefficientis in the experimental equations are obtaines through the fuzzy regression model based on the fuzzy set theory, and are stored in the actual operation database. The developed system is capable of determining the optimum grinding conditions taking into account some problems, and practical examples of implementaion are described.

• 한국산학기술학회논문지
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• 제22권3호
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• pp.181-189
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• 2021

본 연구는 이직인과모델 기반 상급종합병원 교대근무 여자간호사의 이직의도 구조방정식 모형구축을 위한 연구이다. 자료수집은 2015년 11월 11일부터 12월 20일까지 진행되었으며, 총 283명의 자료가 최종분석에 포함되었다. 연구결과 최종 수정모형에 대한 적합도는 권장수준에 비교적 충족하였으며, 최종 수정모형의 19개 가설 중 12개의 가설이 지지되었다. 또한 외부취업 기회, 간호전문직관, 간호조직문화(관계지향, 혁신지향), 직무스트레스, 직무만족, 조직몰입, 소진은 상급종합병원 교대근무 간호사의 이직의도를 47.8% 설명하는 것으로 확인되었다. 세부적으로 이직의도에는 소진(+), 조직몰입(-)이 통계적으로 유의한 직접효과를 나타냈으며, 간호전문직관, 관계지향 간호조직문화와 직무스트레스는 통계적으로 유의한 간접효과를 나타냈다. 이에 본 연구결과를 기반하여 상급종합병원 교대근무 여자간호사의 이직 의도 감소를 위해 소진을 감소시키고, 조직몰입과, 직무만족을 높이는 것이 필요하다고 판단되며, 이를 위해 관계지향적 간호조직문화와 간호전문직관을 강화하는 방안 요구된다. 따라서 병원인력관리 차원에서 탄력적으로 근무시간을 조정할 수 있도록 하고, 상호 존중하는 관계중심의 조직문화를 형성하며, 간호전문직관을 강화하는 교육 및 정책적 지원, 그리고 자긍심을 가지고 일할 수 있는 병원의 제도적 장치가 이루어져야 할 것이다.

• 품질경영학회지
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• 제25권3호
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• pp.96-107
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• 1997

The recent stream to reliability prediction is that it is totally inclusive in depth to consider even the operating and environmental condition at the level of finished goods as well as component itselves. In this study, firstly we present the reliability prediction methods by entire failure rate model which failure rate at the system level is added to the failure rate model at the component level. Secondly we build up the improved bases of reliability demonstration through a, pp.ication of Kaplan-Meier, Cumulative hazard, Johnson's methods as non-parametric and Maximum Likelihood Estimator under exponential & Weibull distribution as parametric. And also present the methods of curve fitting to piecewise failure rate under Weibull distribution, PRST (Probability Ratio Sequential Test), curve fitting to S-shaped reliability growth curve, computer programs of each methods. Lastly we show the practical for determination of optimal burn-in time as a method of reliability enhancement, and also verify the practical usefulness of the above study through the a, pp.ication of failure and test data during 1 year.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2008년도 춘계학술대회논문집
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• pp.695-698
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• 2008

Self-blast circuit breakers utilize the energy dissipated by the arc itself to create the required conditions for arc quenching during the current zero. During the arcing period, high pressure, temperature and radiation of the arc could burn in pure SF6 gas and PTFE nozzle. Ablated nozzle shape and $SF_6$-PTFE mixture vapor affect the performance of an self-blast circuit breaker. After a number of tests, nozzle in circuit breaker is disassembled, a section of ablated nozzle is investigated precisely. Using computational fluid dynamics, the conservation equation for the gas and temperature, velocity and electric fields within breaker is solved. Before applying a section model, developed program is verified with experimental data. Performance of ablated nozzle shape is compared with original model through analysis program.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 춘계학술대회 논문집
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• pp.113-117
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• 1995

Grinding operations is accomplished by rotating a gfinding wheel with lots of random abrasive at high speed, and its object is generally obtained the fanal workpiece surface of high quality as well as the maximization of workpiece removal rate. But, especiallysince grinding operations is related with a large amount of functional parameter, it is actually difficult to therapy that the grinding trouble occurs during the grinding process. Therefore, we trytodesign grinding trouble-shooting system utilizing the back-propagation model of neural network. The conceptual method is produced byidentifying the four parameters derived from the grinding power, and we are design te to the grinding trouble-shooting system on the basis of their data. In this paper, cognition and therapy method tothe grinding trouble which utilizes neural network based four identified models are suggested, and implementation results of computer simulation with respect to the grinding burn and chatter vibration is presented.

• Advances in nano research
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• 제14권6호
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• pp.527-539
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• 2023

Measuring energy burn during intensive combat sport has been a challenging concerns for a long time. In the present article, the energy consumption during combat sports is measured by use of wearable GoBe2 equipped with nanotechnology measuring devices. In this regard, 12 professional combat athletes were asked to wear GoBe2 devices during different sessions of intensive combat exercises. The curves provided by GoBe2 nano-sensor devices are further collected and analyzed for different combat durations. On the other hand, energy consumption in these athlete is calculated using other validated methods to evaluate reliability of GoBe2 wearable devices. Based on the results obtained from these experiments a multi-parameter mathematical model is presented for estimation of combat calorie consumptions. The results show that nanotechnology in these type of sensors could help in estimation of calorie consumption during combat. Moreover, the reliability of using wearable GoBe2 sensors are satisfactory except for some specific conditions. The mathematical model provides a satisfactory results based on athlete physical condition and also duration of the combat with about 8% error margin in the results.

• 한국자동차공학회논문집
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• 제8권5호
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• pp.67-77
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• 2000

Investigated was the effect of propene(C3H6) on the NO-NO2 conversion in dry exhaust gases from lean burn engine using a pulsed corona discharge. A kinetic model was developed to characterize the plasma chemistry in simulated exhausts containing propene. The model uses ELENDIF program to solve Boltzmann equation for electron energy distribution function, and CHEMKIN-II program to solve stiff ODE(ordinary differential equation) problems for species concentrations. The corona discharge energy per pulse and the time-space averaged E/N were obtained by fitting the model to experimental data. The model calculation shows good agreement for NO and NO2 concentrations with the experimental data, and predicts the formation of byproducts such as CH2O, CH3HCO, CO AND CH3NO2 Propene enhances the NOx conversion enormously at lower energy density and the NOx conversion increases with the increase of initial propene and oxygen concentration, and temperature.

• 한국산림과학회지
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• 제113권2호
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• pp.187-197
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• 2024

본 연구에서는 콕스 비례위험모형을 이용하여 산불피해 소나무의 고사에 영향을 미치는 인자를 밝히고자 하였다. 지표화 피해 소나무를 대상으로 고사 영향 인자를 조사하고 산불 발생 7년 차까지 고사 발생 모니터링을 수행하였다. 수집된 자료를 기반으로 생존분석을 실시하였다. 분석 결과, 고사 위험성을 증가시키는 변수는 dNDVI(delta Normalized Difference Vegetation Index), dNBR(delta Normalized Burn Ratio), 경사, 나무에 남겨진 그을음의 상대적인 면적과 평균적인 높이를 나타내는 수피 그을음 지수(Bark Scorch Index, BSI)와 수피 그을음 높이(Bark Scorch Height, BSH)로 나타난 반면, 음의 관계를 가지는 변수는 고도, 흉고직경, 수관층 수분스트레스 변화를 나타내는 수분스트레스지수(dleta Moisture Stress Index, dMSI)로 나타났다(p<0.001). 콕스 비례위험모형의 유의성을 확인하기 위한 변수별 비례위험가정검증에서는 사면방향을 제외한 모든 인자가 모형에 적합하며 고사 발생에 유의미한 영향을 미치는 것으로 나타났다. 생존 곡선 분석에서 가장 큰 생존율 차이를 보인 변수는 BSI였으며(p<0.0001), 원격탐사를 통해 얻어진 환경변화 인자들(dNDVI, dNBR, dMSI) 역시 큰 생존율 차이를 나타내었다(p<0.0001). 이러한 결과는 산불 이후 소나무의 잠재적인 고사위험성을 고려한 복원계획 수립을 위한 기초자료로 활용될 것으로 기대된다.