• 한국방사선학회논문지
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• 제2권4호
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• pp.41-46
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• 2008

CT는 단층촬영을 이용한 의학적인 영상 진단 기법이다. CT는 3차원적인 방사선학적 영상 기법으로 염증의 평가에는 적합하지 않으나, 석회화된 조직을 직접적인 3차원 영상으로 보여주므로 뼈 손상의 평가에는 유용하다. 본 연구는 실험적으로 유도된 랫드의 보조관절염에서 관절의 병리학적 변화와 뼈 파괴의 정량적 분석을 3차원 CT 영상을 통하여 평가하고자 실시되었다. 그 결과 랫드의 보조관절염에서 병변의 파괴성 진행이 3차원 CT 영상을 통해 정량화될 수 있었고, 따라서 관절염 질환의 상태 및 실험적인 치료 약제의 효능 평가에 3차원 CT 영상 기법이 효과적일 것으로 생각된다.

• International Journal of Oral Biology
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• 제42권4호
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• pp.191-196
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• 2017

Transglutaminase2 (TGM2) is a multi-functional calcium dependent enzyme that affects angiogenesis, apoptosis, differentiation, attachment, and changes in the extracellular matrix. However, its function in periodontal tissue has not yet been studied. The aim of this study was to investigate the association of the TGM2 expression and the modulation of inflammatory mediators in inflamed periodontal ligament (PDL) cells induced by pro-inflammatory cytokines such as Interleukin-$1{\beta}$ and the Tumor necrosis $factor-{\alpha}$. The expression of TGM2 was increased in the inflamed periodontal tissue and PDL cells. Over-expressed TGM2 in the PDL cells increased expression of MMP1, MMP3, IL-6, CXCL8, and PTGS2. Conversely, inhibition of TGM2 activity using LDN27219, a TGM2 inhibitor, resulted in decreased expression of MMP1, MMP3, IL-6, and CXCL8. The mRNA expression was confirmed by RT-PCR and quantified by qRT-PCR. Protein levels were also confirmed by immunofluoroscence staining. These results suggest that TGM2 plays an important role in the regulation of inflammatory mediators which exacerbate tissue damage in inflamed periodontal tissue.

• 대한안전경영과학회지
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• 제7권5호
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• pp.1-8
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• 2005

The consequences of rapid industrial advancement, diversified types of business and unexpected industrial accidents have caused a lot of damage to many unspecified persons both in a human way and a material way Although various previous studies have been analyzed to prevent industrial accidents, these studies only provide managerial and educational policies using frequency analysis and comparative analysis based on data from past industrial accidents. The main objective of this study is to find an optimal algorithm for data analysis of industrial accidents and this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. Enterprise Miner of SAS and AnswerTree of SPSS will be used to evaluate the validity of the results of the four algorithms. The sample for this work chosen from 19,574 data related to construction industries during three years ($2002\sim2004$) in Korea.

• 한국지반공학회논문집
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• 제33권7호
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• pp.43-53
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• 2017

최근 도시지역에서 빈번하게 발생하는 도로함몰은 지하에 생성된 동공으로 인해 지표면이 붕괴되는 현상을 의미한다. 지하 공간에서 동공 생성 과정과 생성된 동공이 도로함몰로 이어지는 현상을 이해하기 위해서는 동공의 형성 메커니즘을 명확히 이해할 필요가 있다. 따라서 본 연구에서는 실제 사례와 여러 모델 시험 결과를 분석하여 두 가지 가능한 메커니즘을 제시하였으며 각 메커니즘에 대해 개별요소법 기반의 수치해석 시뮬레이션을 수행하였다. 특히, 도로함몰 영향인자 중 토사 유출구의 크기와 지반의 간극비, 지반 구성 입자 형상의 영향을 확인하기 위한 수치해석을 통해 유출구 특성과 지반 조건에 따라 입자 손실과 지표 침하가 다르게 발생할 수 있음을 확인하였다. 또한, 불연속 침하 해석 결과로 본 연구에서 제시한 도표를 통해 동공의 지름과 심도를 통해 지반의 포화 시 거동을 예측할 수 있다.

• 대한금속재료학회지
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• 제56권11호
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• pp.829-834
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• 2018

Although magnesium-based alloys are attractive materials for hydrogen storage applications, their activation properties, hydrogenation/dehydrogenation kinetics, thermodynamic equilibrium parameters, and degradation characteristics must be improved for practical applications. Further, magnesium poses several risks, including explosion hazard, environmental pollution, insufficient formability, and industrial damage. To overcome these problems, CaO-added Mg alloys, also called Eco-Mg (environment-conscious Mg) alloys, have been developed. In this study, $Eco-MgH_x$ composites were fabricated from Mg-CaO chips by hydrogen-induced mechanical alloying in a high-pressure atmosphere. The balls-to-chips mass ratio (BCR) was varied between a low and high value. The particles obtained were characterized by X-ray diffraction (XRD), and the absorbed hydrogen was quantified by thermogravimetric analysis. The XRD results revealed that the $MgH_2$ peaks broadened for the high BCR. Further, PSA results revealed particles size were decreased from $52{\mu}m$ to $15{\mu}m$.

• Nuclear Engineering and Technology
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• 제46권1호
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• pp.11-26
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• 2014

The analyses carried out within the Seismic Probabilistic Risk Assessments (SPRAs) of Nuclear Power Plants (NPPs) are affected by significant aleatory and epistemic uncertainties. These uncertainties have to be represented and quantified coherently with the data, information and knowledge available, to provide reasonable assurance that related decisions can be taken robustly and with confidence. The amount of data, information and knowledge available for seismic risk assessment is typically limited, so that the analysis must strongly rely on expert judgments. In this paper, a Dempster-Shafer Theory (DST) framework for handling uncertainties in NPP SPRAs is proposed and applied to an example case study. The main contributions of this paper are two: (i) applying the complete DST framework to SPRA models, showing how to build the Dempster-Shafer structures of the uncertainty parameters based on industry generic data, and (ii) embedding Bayesian updating based on plant specific data into the framework. The results of the application to a case study show that the approach is feasible and effective in (i) describing and jointly propagating aleatory and epistemic uncertainties in SPRA models and (ii) providing 'conservative' bounds on the safety quantities of interest (i.e. Core Damage Frequency, CDF) that reflect the (limited) state of knowledge of the experts about the system of interest.

• 혜화의학회지
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• 제27권2호
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• pp.11-20
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• 2018

Objectives : Coronary and cerebrovascular disease with high mortality is a major factor in arteriosclerosis. Pro-inflammatory cytokines damage vascular endothelial cells, leading to vascular inflammation. These vascular inflammation can build up cholesterol and thrombus to cause atherosclerosis. Methods : In this study, we researched the effect of ChungHyul-Plus for vascular inflammation in human umbilical vein endothelial cells (HUVECs) stimulated with tumor necrosis $factor-{\alpha}$ ($TNF-{\alpha}$). Change in mRNA expression of inflammatory cytokines (CCL5, CXCL8, CX3CL1, and MCP-1), cell adhesion molecules (VCAM-1 and ICAM-1), and anti-inflammation modulators (KLF2 and eNOS) were quantified by qRT-PCR. Results : ChungHyul-Plus decreased expression of inflammatory cytokines and cell adhesion molecules and increased anti-inflammation modulators expression in $TNF-{\alpha}$ stimulated HUVECs. Conclusions : These results suggest that ChungHyul-Plus can be used in the treatment and prevention of vascular inflammation and arteriosclerosis.

• Nuclear Engineering and Technology
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• 제50권8호
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• pp.1234-1245
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• 2018

The risk of multi-unit nuclear power plants (NPPs) at a site has received considerable critical attention recently. However, current probabilistic safety assessment (PSA) procedures and computer code do not support multi-unit PSA because the traditional PSA structure is mostly used for the quantification of single-unit NPP risk. In this study, the main purpose is to develop a multi-unit Level 2 PSA method and apply it to full-power operating six-unit OPR1000. Multi-unit Level 2 PSA method consists of three steps: (1) development of single-unit Level 2 PSA; (2) extracting the mapping data from plant damage state to source term category; and (3) combining multi-unit Level 1 PSA results and mapping fractions. By applying developed multi-unit Level 2 PSA method into six-unit OPR1000, site containment failure probabilities in case of loss of ultimate heat sink, loss of off-site power, tsunami, and seismic event were quantified.

• Geomechanics and Engineering
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• 제30권5호
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• pp.413-422
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• 2022

TBM is widely used in the construction of various underground projects in the current world, and has the unique advantages that cannot be compared with traditional excavation methods. However, due to the high cost of TBM, the damage is even greater when geological disasters such as collapse occur during excavation. At present, there is still a shortage of research on various types of risk prediction of TBM tunnel, and accurate and reliable risk prediction model is an important theoretical basis for timely risk avoidance during construction. In this paper, a prediction model is proposed to evaluate the risk level of tunnel collapse by establishing a reasonable risk index system, using analytic hierarchy process to determine the index weight, and using the normal cloud model theory. At the same time, the traditional analytic hierarchy process is improved and optimized to ensure the objectivity of the weight values of the indicators in the prediction process, and the qualitative indicators are quantified so that they can directly participate in the process of risk prediction calculation. Through the practical engineering application, the feasibility and accuracy of the method are verified, and further optimization can be analyzed and discussed.

• 한국산업융합학회 논문집
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• 제24권6_2호
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• pp.891-897
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• 2021

In this paper, we propose a destination optimal route algorithm for providing route finding service for the transportation handicapped by using the multi-criteria decision-making technique and the modified A-STAR optimal route search algorithm. This is a method to set the route to the destination centering on safety by replacing the distance cost of the existing A-STAR optimal route search algorithm with the safety cost calculated through AHP/TOPSIS analysis. To this end, 10 factors such as road damage, curb, and road hole were first classified as poor road factors that hinder road driving, and then pairwise comparison of AHP was analyzed and then defined as the weight of TOPSIS. Afterwards, the degree of driving safety was quantified for a certain road section in Busan through TOPSIS analysis, and the development of an optimal route search algorithm for the transportation handicapped that replaces the distance cost with safety in the finally modified A-STAR optimal route algorithm was completed.