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Kidong Kang,So-Ra Le,Xuezhe Piao,Gang Min Hur 대한약학회 2019 Archives of Pharmacal Research Vol.42 No.1
Programmed cell death is critical to the physiological function of multi-cellular organisms, controlling development, immunity, inflammation, and cancer progression. Death receptor (DR)-mediated regulation of a protease functions as a second messenger to initiate a death signal cascade to induce apoptosis or necroptosis. Recently, it has become clear that post-translational modifications (PTMs) of signaling components in the DR complex are highly complex, temporally controlled, and tightly regulated, and play an important role in cell death signaling. This review focuses on the molecular mechanisms and pathophysiological consequences of PTMs on the formation of the DR signaling complex, especially with respect to tumor necrosis factor receptor 1 (TNFR1). Furthermore, characterization of the role of PTMs in spatially different TNFR1 complexes (complexes I and II), especially with respect to the role of ubiquitination and phosphorylation of receptor interacting protein 1 (RIP1) in programmed cell death in cancer cells, will be reviewed. By integrating recently gained insight of the functional importance of PTMs in complex I or II, this review discusses how the concerted action of PTMs results in life or death upon DR ligation. Finally, the emerging concept of a sequential cell death checkpoint by the PTMs of RIP1, which may reveal novel therapeutic opportunities for the treatment of some cancers, will be discussed.
Kidong Kang,Sungyong Ahn,Peom Park 대한인간공학회 2014 대한인간공학회 학술대회논문집 Vol.2014 No.5
Information and services in the vehicle environment has been increased rapidly. The accident of the vehicle due to the driver distraction is on the rise, because of the complexity of information and services. The speech recognition technology has attracted attention in the new interface of the vehicle. To provide safety and convenience to the driver, various speech recognition technologies such as enhancing the recognition rate have been developed and studied extensively. In this study, through case studies of speech recognition technology of the vehicle at domestic and abroad, the design and evaluation methods of the voice interface in the vehicle environment, etc. It is intended to propose the next-generation voice interface evaluation model in the vehicle environment.
( Kidong Kang ),( Sungyong Ahn ),( Peom Park ) 한국감성과학회 2014 춘계학술대회 Vol.2014 No.-
Information and services in the vehicle environment has been increased rapidly. The accident of the vehicle due to the driver distraction is on the rise, because of the complexity of information and services. The speech recognition technology has attracted attention in the new interface of the vehicle. To provide safety and convenience to the driver, various speech recognition technologies such as enhancing the recognition rate have been developed and studied extensively. In this study, through case studies of speech recognition technology of the vehicle at domestic and abroad, the design and evaluation methods of the voice interface in the vehicle environment, etc. It is intended to propose the next-generation voice interface evaluation model in the vehicle environment.
머신러닝을 이용한 레이저 용접부의 모델링 Part I: Al/Cu 이종재료 겹치기 레이저용접부의 용입깊이
이기동(Kidong Lee),강상훈(Sanghoon Kang),강민정(Minjung Kang),이성(Sung Yi),현승균(Soongkeun Hyun),김철희(Cheolhee Kim) 대한용접·접합학회 2021 대한용접·접합학회지 Vol.39 No.1
Thin sheets of Al/Cu dissimilar materials are overlap welded for the electrical connection of secondary battery electrodes by laser welding. The weld penetration depth is an important joint quality to ensure strength and electrical conductance. It is difficult to predict the penetration depth using analytical methods because of the high laser reflection and small thickness of the base materials. Several machine learning algorithms were investigated to develop regression models for the penetration depth. The models included linear regression, decision tree, supported vector regression, Gaussian process regression, and decision tree ensemble model groups. The regression models with high degrees of freedom showed excellent mean absolute percentage errors (MAPE) and coefficients of determination (R²). In particular, the Gaussian process regression model with exponential kernels had an MAPE of 0.2% and an R² of unity.
EOM, KIDONG,KWAK, HYOSUNG,KANG, HYEWON,PARK, SANGHUN,LEE, HAEBEOM,KANG, HYUNGSUB,KWON, JUNGKEE,KIM, INSHIK,KIM, NAMSOO,LEE, KICHANG Wiley (Blackwell Publishing) 2008 Veterinary Radiology and Ultrasound Vol.49 No.6
<P>Virtual otoscopy enables noninvasive 3D endoluminal imaging of the middle ear through postprocessing of computed tompgraphy (CT) data. A standardized imaging approach for the middle ear was established in six normal dogs in an attempt to optimize the clinical application and student education. High-resolution CT data were obtained. Virtual otoscopic images of the middle ear cavity and ossicles were generated using commercially available software. The views of the four different directions (the ear canal, tympanic bulla, eustachian tube, and ossicular chain) were made for virtual otoscopy. The promontory, cochlea window, tympanic bulla, septum bulla, and auditory tube were distinguished easily and clearly. One of the ossicles, the malleus, was visualized accurately. However, small structures such as the incus and stapes always could not be seen. The main advantage of virtual otoscopy is not only to provide diagnostic information but also to enhance the quality and efficiency of student education, because it contributes to an understanding of the anatomy of the middle ear. We describe the normal topographical 3Dimages of the middle ear of the dog using virtual otoscopy.</P>