APPLICATION OF MASSIVE PARALLEL DEEP LEARNING ALGORITHM IN THE PREDICTION OF COLORECTAL CARCINOGENESIS OF FAMILIAL POLYPOSIS

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 survival analysis problem into multi-timepoint survival probability prediction.The multi-task learning model is comp

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Combating antiscience: Are we preparing for the 2020s?

In the last half of the 2010s, we saw an upswing in antiscience movements and unprecedented attacks on scientists in the United States and elsewhere.All indications suggest that this trend will not slow or reverse anytime soon, and it is now increasingly apparent that it will fall to the scientists Accent Chair themselves to respond, engage a skept

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Customer knowledge management competence evaluation of agritourism enterprises by using the balanced scorecard and fuzzy-AHP: Evidence from Chengdu-Chongqing economic circle.

This paper provides an evaluation framework to explore the linking mechanisms between customer knowledge management competence (CKMC) and Balanced Scorecard (BSC).With a case study from Chengdu-Chongqing Economic Circle of China, this paper attempts to empirically justify the framework.An index system was established for evaluating CKMC based on BS

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Classification of Architectural Styles based on the Dimensions of the Integration of Hospital Information Systems

Introduction: Hospital information system (HIS) is a comprehensive software for integrating patient information for sending Laboratory Glassware and Plasticware - Microscope Slides and exchanging health information between wards and other medical centers in order to accelerate the process of patient care and treatment, improve quality, and increase

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A task segment framework to study keylogged translation processes

The Task Segment Framework (TSF) is a tool to analyze full typing flows of translation tasks as keylogged with timestamps recorded for keydown, keyup, mouse clicks and moves, and actions performed in other applications.The TSF assumes that Used Neckguard intentional pauses flag stretches where subjects concentrate on unrecorded cognitive processes

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