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C SH-SY5Y/sgControl sgCtrl and SH-SY5Y/sgTauSecR #3 cells were treated for 2 h with tau-Dylight 488 oligomers LMW and HMW, 250 nM with or without GST-TauSec 1 nM and then observed under
Reference [20] generated building footprints by using DTM and DSM estimated from a morphological operator derived from Conventional method Deep-learning based method Morphological
Figure 2.6 Phase offsets calculated with MCPC-3D median filtered, coil 1, 4, 7, 10 Figure 2.7 Phase images subtracted by phase offsets calculated with MCPC-3D using median filtered
Effect of Bupivacaine and Temperatureresponsive Hydrogel on Femoral and Sciatic Nerve Block in Beagle Dogs Abstract This study was conducted to compare the duration of regional
The proposed deep learning network is similar to that of FusionNet, but the number of feature maps used in the convolution layer after residual block is fixed at 64; then reduced to 32
However, in my results, in inconsistent with my expectations, the treatment with AG1478, an inhibitor for ErbB4 did not prevent the rescuing effects of NRG1 on the reduction in the
공학석사 학위논문 순차적 흉부 X-선 영상에서 시간에 따른 변화 검출을 위한 인공지능 알고리즘 개발 및 검증 Development and validation of a deep learning algorithm for longitudinal change detection in sequential chest X-ray
1 공학석사 학위논문 마그네슘 산화 망간/은 시스템을 활용한 수계 환경에서의 전기화학적 선택적 마그네슘 회수 Electrochemical selective magnesium recovery at aqueous solution by applying MgMn2O4 /Ag system 2017 년 2월 서울대학교 대학원