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    EngageSense: a hybrid approach for real time engagement detection for virtual classrooms by Irfan, Muhammad, Patel, Preeti, Hassan, Bilal

    Published 2025
    “…Then, Dlib’s HOG + Linear SVM for face detection, a CNN model trained on 4,453 eye images dataset(classified into left, right, and center gaze directions), and OpenPose MobileNetV1 for body pose estimation are used. By fusing gaze direction (99.50% accuracy) and pose features, EngageSense classifies engagement into three levels: fully engaged, partially engaged, and not engaged with an accuracy of 90%. …”
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    Conference or Workshop Item
  7. 1147

    Epidithiodiketopiperazines inhibit protein degradation by targeting Proteasome Deubiquitinase Rpn11 by Li, Jing, Zhang, Yaru, Sil dos Santos, Bruno, Wang, Feng, Ma, Yuyong, Perez, Christian, Yang, Yanling, Peng, Junmin, Cohen, Seth M., Chou, Tsui-Fen, Hilton, Stephen T., Deshaies, Raymond J.

    Published 2018
    “…ETPs also inhibited other JAMM (JAB1/MPN/Mov34 metalloenzyme) proteases such as Csn5 and AMSH. An improved ETP with fewer non-specific effects, SOP11, stabilized a subset of proteasome substrates in cells, induced the unfolded protein response, and led to cell death. …”
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    Article
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