PATTERNS OF SEXUAL RISK BEHAVIOR AMONG UNDERGRADUATE UNIVERSITY STUDENTS IN ETHIOPIA: A CROSS-SECTIONAL STUDY


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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An iterative method for tri-level quadratic fractional programming problems using fuzzy goal programming approach

Abstract Tri-level optimization problems are optimization problems with three nested hierarchical structures, where in most cases conflicting objectives are set at each level of s??dett?v? kakkurengas hierarchy.Such problems are common in management, engineering designs and in decision making situations in general, and are known to be strongly NP-h

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Effects of Exogenous Ethanol Treatment in Nutrient Solution on Growth and Secondary Metabolite Contents of Three Herb Species in an Indoor Vertical Farming System

This study aimed to explore the possibility of exogenous ethanol treatment as a technology to regulate the growth and the synthesis of secondary metabolites in herbaceous plants.After transplantation, sweet basil, Korean mint, and sweet wormwood were cultivated in a controlled vertical farming system and consistently exposed s??dett?v? kakkurengas

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