비강 및 부비동종양에서 Cyclooxygenase-2 및 Matrix metalloproteinase의 발현 : 종양침습과 생성의 추정

노용훈 조선대학교 2003 국내박사

비강 및 부비동 종양에서 cyclooxygenase-2 및 matrix metalloproteinases의 발현 : 종양침습과 생성의 추정

노용훈 조선대학교 대학원 2002 국내박사

Purpose: The matrix metalloproteinases (MMPs) have been associated with tumor cell invasion and metastasis by mediating the degradation of extracellular matrix components. Cyclooxygenase-2 (COX-2) has an important role in promotion of carcinogenesis, tumor invasiveness and angiogenesis. Recently, some investigators have reported that COX-2 could promote secretion of MMP-2 and MMP-9. Therefore, an interrelation between MMPs and the associated COX-2 may play a significant role in the invasive phenotype of malignant tumors. In the present study, the author investigated the correlation between expressions of COX-2 and MMPs. Materials and Methods: Immunohistochemical staining of MMP-2, -3 and -9, and COX-2 were performed on paraffin-embedded tissue sections of 51 nasal cavity and paranasal sinuses tumors(27 inverted papillomas, 5 inverted papillomas with malignant transformation, and 19 squamous cell carcinomas). Co-expression of these MMPs and COX-2 was visualized with confocal laser scanning microscope. Results: MMP-2, -3 and -9 were found mainly in malignant lesions in concert with COX-2. However, co-expression of only MMP-9 and COX-2 was detected with significancy. Conclusion: These results suggest a potentially important role for COX-2 in the regulation of MMPs, malignant transformation, and progression of squamous cell carcinoma, and it points to the potential use of COX-2 inhibitors, in the prevention and therapy of squamous cell carcinoma of nasal cavity and paranasal sinuses.

확률대응법을 이용한 레이더 강우 추정관계식의 매개변수 결정

노용훈 高麗大學校 大學院 2014 국내석사

Radar is widely used to observe the rain rate field and to prevent the flood damage. Since the Mt. Gwan-ak radar was introduced in 1969, the Korea Meteorological Administration has expanded its radar network covering the entire Korean peninsula. As a remote sensing tool, radar collects the reflectivity intensity from the rain drops in the air. The reflectivity data should be converted in the rain rate data to be used for various applications. The so-called Z-R relation is developed for this purpose. Parameters of the Z-R relation are generally estimated by the Least Square Method (LSM) or recently by the Probability Matching Method (PMM). This study evaluated the PMM for the parameter estimation of the Z-R relation. As a first step, the sensitivity analysis was done to decide the threshold number of data pairs and the data interval for the development of a histogram. As a result, it was found that at least 1,000 number of data pairs are required to apply the PMM for the parameter estimation. This amount of data is similar to that collected for 2 hours. Also, the data interval for the histogram was found to be at least 100(Reflectivity: 0.6 dBZ space for 0~60 dBZ, Rain rate: 0.26 dBR space for 0~25 dBR). Additionally, it was found that the matching the first moment is better than the zeroth moment, and that the data pairs comprising 30 to 100% are better for the PMM application. Finally above findings were applied to the rainfall event occurred on July 9, 2011. The radar data used were those from the Mt. Bisl radar, and the rain gauge data were the TM data within the radar umbrella. The optimal parameters were decided to be A=90, and b=1.5, which were also found to be similar to previous studies. Also, the radar rain rate derived by applying these parameters was found to be better matched to the rain gauge rain rate, than the conventional Z-R relation.

구강 및 인두암에서 p53과 상피성장인자 수용체의 발현에 관한연구

노용훈 朝鮮大學校 大學院 1996 국내석사

The prognostic significance of the squamous cell carcinomas of the oral cavity and the oropharynx have been evaluated to identify those features associated with aggressive biologic behavior according to the immunologic and histologic characteristics. For determining prognostic indicators, the author performed immunohistochemical staining of p53 protein and epidermal growth factor receptor(EGFR) in 29 cases of squamous cell carcinomas of the oral cavity and the oropharynx. The positive rate of p53 protein expression was 51.7%, that of EGFR expression was 96.6%, and the rate of EGFR overexpression was 41.4%. In the present study, positive expressions of p53 protein and EGFR were associated closely with malignant transformation of epidermal cells. However, there were no statistical significance between the reactivity of EGFR, p53 and clinical. features such as primary tumor site, primary stage, nodal stage, clinical stage, death and histologic grade. Further studies will be required to determine the expressions of p53 and EGFR which are related to development or prognosis of these squamous cell carcinomas.

누가복음에 나타난 세례요한의 등장에 관한 연구

노용훈 합동신학대학원대학교 2008 국내석사

하중 비가 고려된 경우에 4가지 피로균열진전 예측 모델의 적절성 비교

노용훈 중앙대학교 대학원 2019 국내석사

Structural failure due to fatigue crack propagation is about 80 to 90%. To predict fatigue crack propagation, an experiment should be performed to determine the da/dN(fatigue crack growth rate). If da / dN and ΔK are measured, fatigue crack propagation behavior can be fitted. In this paper, fatigue crack propagation experiments for three load ratios were performed to compare the differences of the four models. Also, the number of variables used varies depending on the fitting model. Fatigue life prediction is difficult if there are many variables. Also, due to the characteristics of each model, the slope and intercept in Region-II are different. In this paper, fatigue life varying according to slope and intercept of Region-II is predicted and compared for four fitting models. The ΔK calculation was performed with X-FEM. Mesh convergence test was performed to calculate the reliable ΔK. The Paris model was most suitable when the calculated ΔK and the four fitting models were compared. 피로균열진전으로 인한 구조물의 파손은 약 8~90%에 해당한다. 피로균열진전을 예측하기 위해서는 실험을 수행하여 da/dN(피로균열진전속도)을 측정해야한다. da/dN과 ∆K이 측정되면 피로균열진전 거동을 피팅 할 수 있다. 본 논문에서는 4가지 모델의 차이를 비교하기 위해서 3가지 하중 비에 대한 피로균열진전 실험을 수행하였다. 또한 피팅 모델에 따라 사용되는 변수의 개수는 다르다. 변수가 많으면 피로 수명 예측이 어렵다. 또한 각각의 모델이 가진 특성 때문에 Region-II에서의 기울기와 절편은 달라진다. 본 논문에서는 4가지 피팅 모델에 대하여 Region-II의 기울기와 절편에 따라 변하는 피로 수명을 예측하고 비교하였다. ∆K계산은 X-FEM으로 수행되었다. 신뢰성 있는 ∆K를 계산하기 위하여 Mesh convergence test를 수행하였다. 계산된 ∆K와 4가지 피팅 모델을 비교하였을 때 Paris모델이 가장 적합하였다.

Neutron yield and disassembly time during the fusion of laser driven cluster plasma

노용훈 광주과학기술원 대학원 2025 국내석사

레이저 클러스테 핵융합 연구 중 플라즈마 생성은 쿨롱 폭발 모델을 통해 설명한다. 쿨롱 폭발 모델을 기반으로 한 계산에 따르면 레이저가 중수소 클러스터를 이온화 시킨 후 2∼4 ps 시간이 지난 뒤 이온이 균등하게 분포된다. 이러한 환경에서 쿨롱 폭발 이후 플라즈마가 어떻게 확산하는지를 계산하여 시간에 따른 플라즈마 밀도의 변화를 알아 냈다. 단일 클러스터의 쿨롱 폭발 이 후 이온들의 속도분포를 분석한 후, 이를 기반으로 레이저가 지나간 길(플라즈마 원기둥)의 모든 이온의 속도분포를 구했다. 초기상태의 플라즈마원기둥의밀도분포와속도분포를결합하여이온의밀도변화에대한이론을구 축했다. 선행 연구의 중성자 수율 모델에 새로 구해낸 플라즈마 밀도를 적용하여 중성자 수율과 분해 시간을 구할 것이다. A Coulomb explosion model explains the plasma formation during laser cluster fusion. According to calculations based on this model, the ions distribute uniformly within approximately 2∼4 ps following the laser ionization of deuterium fuel. We in- vestigated the evolution of plasma density after the Coulomb explosion by calculating its time-dependent behavior in such an environment. By analyzing the velocity distri- bution of a single cluster post-Coulomb explosion, we derived the velocity distribution of the entire plasma filament. A theoretical framework was developed to determine the evolution of the plasma density by convoluting the velocity distribution function with the initial cylindrical density profile. The neutron yield and disassembly time will be predicted using neutron production rate models discussed in previous studies, incorporating plasma density through a novel approach.

Modeling of 3D fracture initiation surface of high-silicon steel with non-associated flow rule considered and its application to plastic deformation

노용훈 중앙대학교 대학원 2023 국내박사

최근 전기차 수요가 급증함에 따라 고실리콘강의 수요 또한 증가하고 있다. 하지만 실리콘 함량이 높아지면 냉간압연은 어려워진다. 본 연구에서는 냉간압연 중 고실리콘 강의 파괴를 예측하기 위해 3차원 파괴개시 곡면을 제안하였다. 또한 고실리콘강을 위한 넓은 변형률 범위에서의 경화모델이 제안되었다. 또한 고실리콘강의 이방성과 파단 변형률을 측정하기 위해 DIC 인장/파괴시험이 수행되었다. 이방성 항복함수와 비-연합 유동법칙을 FE해석에 유저 서브루틴을 코딩하였다. 제안된 파괴개시 곡면과 경화모델을 검증하기 위해 냉간압연실험을 수행했다. 냉간압연 실험결과와 FE해석으로 예측된 결과를 상호비교하여 제안된 파괴개시 곡면의 유효성을 검증했다. 또한 FE해석을 수행하여 워크 롤 굽힘 변화에 따른 edge cracking거동을 방지를 위한 롤 굽힘 비율을 제안했다. As demand for electric vehicles has recently surged, demand for high-silicon steel is also increasing. However, as the silicon content increases, cold rolling becomes difficult. In this study, a 3D-fracture initiation surface was proposed to predict crack of high-silicon steel during cold rolling. Also, a hardening model in a large strain range for high-silicon steel is proposed. In addition, tensile/fracture tests using DIC were performed to measure the anisotropy and fracture to strain of high-silicon steel. The anisotropic yield function and the non-associated flow rule were coded in a user-subroutine(VUMAT) for the FE analysis. A cold rolling experiment was performed to verify the proposed fracture initiation surface and hardening model. The validity of the proposed fracture initiation surface was verified by mutually comparing the results predicted by the cold rolling test and the FE analysis. In addition, FE analysis was performed to propose a roll bending ratio to prevent edge cracking behavior due to work roll bending changes.

Merging of radar and rain gauge data considering the rainfall characteristics

노용훈 Graduate School, Korea University 2017 국내박사

Improving the quality of radar rain rate data is important to maximize the application of data. Generally, high-quality rainfall information is used as a key input for hydrologic analysis. Quantitative precipitation estimation (QPE) has been performed to minimize the various errors of radar rain rate data. Recently, merging of the radar data and rain gauge data is important as it is expected to get higher-quality rain rate field. However, the quality of the radar rain rate data still does not meet the expected level. To make better quality of rain rate field, this study evaluated the effect of rainfall characteristics in the application of a data merging technique. Specifically, this study focused on (1) analysis of zero measurements and distribution function of rainfall data on the correlation coefficient, (2) evaluation of rainfall characteristics on the simple Kriging, and (3) evaluation of rainfall characteristics on the merging of radar and rain gauge rain rate data. First, the effect of zero measurements and distribution function on the correlation coefficient was analyzed in the application of the Kriging method. Generally, the correlation coefficient is found without considering the zero measurements of data and with the assumption that data follow the Gaussian distribution. However, rain rate data is generally positively skewed, also showed a strong spatial and temporal intermittency. These characteristics change the correlation coefficient which also affect the shape of the variogram. As a result, the shape of the variogram decides the covariance and finally the Kriging weighted values. Second, the effect of rainfall intermittency and log-normality on the simple Kriging was evaluated, in the estimation of rainfall spatial coverage. In this study, the artificial data and radar and rain gauge rain rate data were applied to the simple Kriging. The results showed that the zero values has the tendency to decrease the sample variance but to increase the correlation coefficient among data. When the data do not follow the Gaussian distribution, the correlation length could be longer when taking the natural logarithm to the original data. It was confirmed that the data intermittency and data log-normality should be considered to derive a proper variogram. Overall, it was found that the consideration of the data intermittency and data log-normality can improve the simple Kriging result. Especially, the effect of considering the data intermittency was found very significant. However, it was also found that several abnormally high values can be generated or the area of no rain can be decreased due to the longer correlation length. Third, the effect of rainfall intermittency and log-normality on the merging of radar and rain gauge rain rate data using the co-kriging was evaluated. As a result, for both variogram and cross-variogram, the correlation length was found to be longer, but sill height was smaller in the cases with consideration for data characteristics. The longest correlation length was derived when considering both the data intermittency and log-normality. Additionally, the co-kriging result can be better in case of considering the data characteristics. Especially, the data log-normality was found to be higher effect on the spatial coverage and quality of the rain rate field than the data intermittency. Furthermore, when considering the data characteristics, the mean of the merged rain rate field became more or less the same as that of the ground data.