Publications by authors named "Marcio Guerreiro"

This work aims to analyze two metaheuristics optimization techniques, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), with six variations each, and compare them regarding their convergence, quality, and dispersion of solutions. The optimization target is the Gaussian Adaptive PID control (GAPID) to find the best parameters to achieve enhanced performance and robustness to load variations related to the traditional PID. The adaptive rule of GAPID is based on a Gaussian function that has as adjustment parameters its concavity and the lower and upper bound of the gains.

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Objective: To describe fluid resuscitation practices in Brazilian intensive care units and to compare them with those of other countries participating in the Fluid-TRIPS.

Methods: This was a prospective, international, cross-sectional, observational study in a convenience sample of intensive care units in 27 countries (including Brazil) using the Fluid-TRIPS database compiled in 2014. We described the patterns of fluid resuscitation use in Brazil compared with those in other countries and identified the factors associated with fluid choice.

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Background: The aim of this study was to determine whether plasma superoxide dismutase (SOD) activity, in comparison with other oxidative parameters, is associated with mortality in humans with septic.

Methods: We conducted a prospective observational study including 96 patients with septic. Blood samples were collected immediately after study inclusion and 24 hours after.

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Objective: To determine xanthine oxidase and superoxide dismutase activities, lipid peroxidation, protein carbonylation, and total radical-trapping antioxidant parameter in survivors and nonsurvivors patients with severe burn injury.

Design And Setting: Prospective, comparative observational study in an intensive care unit, burn division, in a trauma hospital.

Patients: Twenty-five consecutive patients who met the established criteria for severe burn injury (total burn surface area of more than 30%).

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