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피질 미성숙 흉선 세포의 특이 항원인 JL1의 흉선종에서의 발현 양상; 새로운 보조적 진단 표지자
박찬식,박영수,김영지,이윤희,허주영 대한병리학회 2008 Journal of Pathology and Translational Medicine Vol.42 No.5
Background : JL1 is a novel antigen that has been reported to be expressed exclusively in immature CD4 CD8 double positive T-cells in the thymic cortex. Thymomas are often infiltrated with lymphocytes that are mostly immature T-cells. Methods : We evaluated 67 cases of surgically resected thymomas and reviewed their histological, surgical, and clinical findings. Representative sections were immunostained using anti-JL1 monoclonal antibody and the immunostaining score was evaluated in each case. Results : JL1 was strongly positive in immature T cells infiltrated in various subtypes of thymomas. The mean value of the immunostaining score was 0 for type A, 0.24 for the A areas of type AB, 2.71 for the B areas of type AB, 3 for type B1, 1.87 for type B2, 0.67 for type B3, and 0.13 for type C. The immunostaining score correlated with the histological subtypes according to the WHO classification, and stages according to the modified Masaoka system. Conclusions : JL1 was specifically detected in immature thymocytes in thymomas. Therefore, JL1 immunostaining can be useful for subtyping thymomas. JL1 can also serve as an adjunctive marker to diagnose thymomas in small biopsy specimens.
EGM08 중력 모델을 이용한 심층신경망 기반 지오이드 기복 예측 정확도 평가
박찬식,김현석 대한전기학회 2022 전기학회논문지 Vol.71 No.8
The difference between mean sea level and ellipsoid height is defined as geoid relief, which is essential information when building barometric altimeter/GPS combined systems or terrain matching systems. Therefore, an accurate calculation of the geoid undulation is required. In this paper, we propose a deep neural network method for calculating geoid undulations in real time in an embedded system. Then, using the EGM08 geoid model of order 2160, training data at intervals of 0.001 degrees were generated, and the prediction model accuracy was evaluated for 4 cases according to the number of hidden layers. As the number of hidden layers increased, the prediction accuracy increased, and it was confirmed that the calculation time also increased proportionally
박찬식,Peter J. G. Teunissen 제어·로봇·시스템학회 2009 International Journal of Control, Automation, and Vol.7 No.4
In this paper we introduce the quadratically constrained integer least-squares problem and show how the LAMBDA method can be used to solve it for the purpose of GNSS attitude determination. The integer least-squares principle with quadratic equality constraints (ILSQE) is used to formulate our cost function. The solution of the ILSQE problem is derived and it is shown how the solution can be computed efficiently and rigorously with a novel LAMBDA based method. Experimental results with various single frequency GPS receivers are given to show the effectiveness of the proposed method. The method is also compared with some current methods of GNSS attitude determination. Apart from its efficiency, the proposed method is shown to dramatically improve the success rates of integer ambiguity GNSS attitude resolution.