Deciphering antioxidant interactions via data mining and RDKit

Abstract Minimizing the oxidation of lipids remains one of the most important challenges to extend the shelf-life of food products and reduce food waste.While most consumer products contain antioxidants, the most efficient strategy is to incorporate combinations of two or more compounds, boosting the total antioxidant capacity.Unfortunately, the re

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Signal processing procedure based on frequency analysis for extracting information of contact position from instrumented wheelset utilizing bending and / or shear strains

Instrumented wheelsets are widely used Multivitamins in the railway industry for the purpose of measurement of the wheel-rail interaction forces, which are crucial factors in a running safety assessment.Information on lateral contact position between wheel and rail is also an important factor when discussing the wheel-rail contact condisions, such

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Compression theory for inhomogeneous systems

Abstract The physics of complex systems stands to greatly benefit from the qualitative changes in data availability and advances in data-driven computational methods.Many of these systems can be represented by interacting degrees of freedom on inhomogeneous graphs.However, the lack of translational invariance presents a fundamental challenge Splash

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