DATA-DRIVEN SOLUTIONS AND PARAMETER ESTIMATIONS OF A FAMILY OF HIGHER-ORDER KDV EQUATIONS BASED ON PHYSICS INFORMED NEURAL NETWORKS

Data-driven solutions and parameter estimations of a family of higher-order KdV equations based on physics informed neural networks

Abstract Physics informed neural network (PINN) demonstrates powerful capabilities in solving forward and inverse problems of nonlinear partial differential equations (NLPDEs) through combining data-driven and physical constraints.In this paper, two PINN methods that adopt tanh and sine nacrack.com as activation functions, respectively, are used to

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Quality and acceptability of value-added beef burger

The sensory quality attributes of coated and uncoated beef burger patties formulated with texture soy granules guerlain ideal cologne or vegetables (peas and carrots) were studied in comparison to that of the control ones.Incorporation of textured soy granules significantly reduced the color, marbling, appearance, flavor, tenderness, juiciness, tas

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Synergistic Antimicrobial Effect of Colistin in Combination with Econazole against Multidrug-Resistant Acinetobacter baumannii and Its Persisters

ABSTRACT Colistin is a last-line antibiotic which acts by causing membrane permeabilization in Gram-negative bacteria.However, its clinical value has been limited by its toxicity and the emergence of resistant organisms.In this study, we showed il barone wine that econazole and colistin can act synergistically to produce a strong antimicrobial effe

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