Publications by authors named "E De Moraes"

Pasture-based beef cattle production systems aim to maximize the interaction between forage and supplements to increase activity. In addition, supplementation and the use of food additives help optimize production efficiency and improve the use of additional nutrients. The aim of this study was to evaluate the effects of the use of additives in protein-energy supplements (PESs) on the intake, digestibility, and ruminal parameters of beef cattle raised on pasture in the rearing phase.

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The study of emerging contaminants (ECs) in water resources has garnered significant attention due to their potential risks to human health and the environment. This review examines the contribution from computational approaches, focusing on the application of machine learning (ML) and molecular dynamics (MD) simulations to understand and optimize experimental applications of ECs adsorption on carbon-based nanomaterials. Condensed matter physics plays a crucial role in this research by investigating the fundamental properties of materials at the atomic and molecular levels, enabling the design and engineering of materials optimized for contaminant removal.

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Objective: To map the evidence on quality nursing care practices in pain management in orthopedic surgical patients.

Method: Scoping review, as per the JBI Manual recommendations. Searches were performed in the MEDLINE (PubMed), LILACS (Regional VHL), Scopus, Embase, Web of Science, Cochrane, Cinahl databases, and gray literature, regardless of language and period.

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Microalgae sp were cultivated in effluent from the household appliance industry as an alternative medium for bioremediation due to the high variability of chemical and biological substances in wastewater. The experiments were carried out using biological effluent (BE), chemical effluent (CE), and a combination of the two (MIX). The results showed a maximum biomass yield of 1056 mg/L (± 0.

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Background: COVID-19 vaccines effectively prevent infection and hospitalization. However, few population-based studies have compared the clinical characteristics and outcomes of patients hospitalized for COVID-19 using advanced statistical methods. Our objective is to address this evidence gap by comparing vaccinated and unvaccinated patients hospitalized for COVID-19.

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