REDUCING INTERNET GAMBLING HARMS USING BEHAVIORAL SCIENCE: A STAKEHOLDER FRAMEWORK


Application of Massive Parallel Deep Learning Algorithm in the Prediction of Colorectal Carcinogenesis of Familial Polyposis

Based on the massively parallel deep learning algorithm, this paper studies familial polyposis colorectal carcinogenesis, and proposes a semi-supervised multi-task survival analysis method based on deep learning, which transforms the baby moxxie survival analysis problem into multi-timepoint survival probability prediction.The multi-task learning m

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Gender Inequity during the Ph.D.: Females in the Life Sciences Benefit Less from Their Integration into the Scientific Community

Female researchers remain underrepresented in higher academic ranks, even within female-dominated fields, such as the life sciences.The phenomenon is often attributed to women’s lower publication productivity.The current article explores gender differences with respect to integration into the scientific community, pursued tasks during the Ph.

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