This article implements a hybrid Machine Learning (ML) model to classify stoppage events in a copper-crushing equipment, more specifically, a conveyor belt. The model combines Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) with Principal Component Analysis (PCA) to identify the type of stoppage event when they occur in an industrial sector that is significant for the Chilean economy. This research addresses the critical need to optimise maintenance management in the mining industry, highlighting the technological relevance and motivation for using advanced ML techniques.
View Article and Find Full Text PDFThe effect of supplementation of grazing cattle with unconventional agro-industrial by-products on milk production and economic performance was evaluated in the Amazon region of Peru. Ten lactating cows were used in a simple crossover design with two periods of 21 days (11 days of adaptation and 10 days of measurements), and two treatments: conventional supplementation (rice polishing) and a mixture of unconventional agro-industrial by-products-MUABP (rice polishing, rice middling, cocoa hull, and coconut meal). Cattle supplemented with MUABP produced more milk than those fed the conventional supplement (10.
View Article and Find Full Text PDFIn vitro and in vivo studies suggest that the basolateral membrane of choroid plexus cells, which is in contact with blood vessels, is involved in the uptake of the reduced form of vitamin C, ascorbic acid (AA), through the sodium-vitamin C cotransporter, (SVCT2). Moreover, very low levels of vitamin C were observed in the brains of SVCT2-null mice. The oxidized form of vitamin C, dehydroascorbic acid (DHA), is incorporated through the facilitative glucose transporters (GLUTs).
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