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Acopiara, Brazil

The scope of this study is to identify the factors that influence the consumer's decision when buying medicine. Prior to the Generics Act (Lei dos Genéricos), consumers had at their disposal two product purchase options in the private market, namely buying a reference drug and a similar one. Generic drugs are part of a public policy which was intended to broaden access to medication by the general population at more accessible costs, while maintaining the same quality as the reference drug, as ensured by bioequivalence tests from the national health surveillance agency ANVISA. Nevertheless, a question arises as to whether the potential consumer knows the difference between generic, similar and reference drugs, especially when taking into account the decision at the moment of purchase. In order to fulfill the proposed objective, a survey was conducted with 403 residents in Belo Horizonte, Brazil. The data gathered was tabulated and analyzed using factor analysis and crosstab. The results made it possible to infer that there is a strong predisposition among consumers to accept the suggestions of the pharmacists and/or salesman, and a significant portion of the population is confused at the moment of purchase. Source

Matschullat J.,TU Bergakademie Freiberg | Deschamps E.,FUMEC University
Applied Geochemistry | Year: 2015

A successful piece of applied research will not only influence the related problem perception within the scientific community, but also lead to much better understanding of a complex challenge, including the delivery of solutions. Ideally it may contribute significantly to reducing possible risk situations for people and/or the natural environment. In short, a successful study will have a broader impact beyond the sphere of science. Planning, timing, funding, networking, communication, and interdisciplinarity are identified as key aspects for a successful project and are being examined in their scope and boundary conditions, while not neglecting the particular role of local and regional people and authorities.Defining what makes a successful environmental geochemical study is clearly based upon experience and evidence found, and not upon any particular theoretical concept. Here, experience is drawn from the outcome of many projects and specifically first-hand from the complex ARSENEX project in Minas Gerais, Brazil. Against the backdrop of both perceived and real arsenic contamination of environmental compartments, including local people, all subsequent project steps and proposals were set up using a three-prong approach that sought to a) understand the processes, b) educate and inform the public and all other stakeholders and c) remediate the situation. © 2015 Elsevier Ltd. Source

Carrasco E.V.M.,Federal University of Minas Gerais | Mantilla J.N.R.,FUMEC University
BioResources | Year: 2015

Failure criteria from six theories were applied to estimate the shear strength of the adhesive line in terms of grain slope when under loaded tension stress. The shear stresses of the adhesive line as a function of the angle of the wood grain were determined by experimental tests. Specimens were obtained from 12 Eucalyptus saligna wood beams. They were prepared with varying angles of the grain (0°, 15°, 30°, 45°, 60°, 75°, and 90°) in relation to load application, following the requirements of the Brazilian standard. From the results of the six failure criteria and experimental results, robust statistical analysis was carried out; it was thus possible to adapt the models to determine the shear strength of the adhesive line as a function of the angle of the wood grain. The six mathematical models evaluated do not show statistical significance (p < 0.05) in their original format. With modifications, the models showed statistical significance only with the formulations of DIN 1052 and Karlsen. Source

Andrade Pinto J.M.,FUMEC University
International Journal of Fatigue | Year: 2011

In this work, a novel approach to fatigue life prediction under step-stress conditions is introduced, where the cumulative distribution function for the failure of components was implemented by means of a neural network. The model was fit to experimental data on the fatigue life of steel under step-stress conditions. For comparison, a standard approach based on the lognormal distribution function was also implemented and fit to the same experimental data. Both models were optimized by evolutionary computation, using a maximum likelihood estimator. The Kolmogorov-Smirnov test was applied to compare the results of the new approach to those obtained with the lognormal distribution function. © 2010 Elsevier Inc. All rights reserved. Source

Pinto J.M.A.,FUMEC University | Pujol J.C.F.,Brazilian Nuclear Technology Development Center (CDTN) | Cimini Jr. C.A.,Federal University of Minas Gerais
Fatigue and Fracture of Engineering Materials and Structures | Year: 2014

This paper introduces a numerical model to estimate fatigue life under step-stress conditions, using the Weibull and lognormal distributions. The maximum likelihood method was used to estimate the free parameters of the distributions. The model was fitted to an experimental data on fatigue life in the specimens of steel SAE 8620, by using evolutionary computation to optimize the likelihood function. Results are reported on the values of the parameters and their confidence interval. Also, a validation of the model is discussed using analysis of residuals. © 2013 Wiley Publishing Ltd. Source

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