941 resultados para Bacterial programming


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This paper proposes a Fuzzy Goal Programming model (FGP) for a real aggregate production-planning problem. To do so, an application was made in a Brazilian Sugar and Ethanol Milling Company. The FGP Model depicts the comprehensive production process of sugar, ethanol, molasses and derivatives, and considers the uncertainties involved in ethanol and sugar production. Decision-makings, related to the agricultural and logistics phases, were considered on a weekly-basis planning horizon to include the whole harvesting season and the periods between harvests. The research has provided interesting results about decisions in the agricultural stages of cutting, loading and transportation to sugarcane suppliers and, especially, in milling decisions, whose choice of production process includes storage and logistics distribution. (C)2014 Elsevier B.V. All rights reserved.

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This paper presents a mixed-integer quadratically-constrained programming (MIQCP) model to solve the distribution system expansion planning (DSEP) problem. The DSEP model considers the construction/reinforcement of substations, the construction/reconductoring of circuits, the allocation of fixed capacitors banks and the radial topology modification. As the DSEP problem is a very complex mixed-integer non-linear programming problem, it is convenient to reformulate it like a MIQCP problem; it is demonstrated that the proposed formulation represents the steady-state operation of a radial distribution system. The proposed MIQCP model is a convex formulation, which allows to find the optimal solution using optimization solvers. Test systems of 23 and 54 nodes and one real distribution system of 136 nodes were used to show the efficiency of the proposed model in comparison with other DSEP models available in the specialized literature. (C) 2014 Elsevier Ltd. All rights reserved.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Background: Most clinical cases of osteomyelitis in dogs involve infectious agents, especially bacteria and fungi. The characterization of these microorganisms may aid in the prevention and treatment of disease.Objective: The aim of this study was to evaluate retrospectively microbiological cultures and in vitro antimicrobial susceptibility profile of isolates from 52 cases of bacterial osteomyelitis in long bones of dogs over 2000-2013. In 78% of the cases injuries were caused by a motor vehicle accident, but there were a few cases of dog bites (17%) and ascending infection due to pododermatitis (5%).Animals and methods: The isolated microorganisms were identified based on conventional phenotypic methods. In vitro disk diffusion test was performed using 30 different antimicrobials.Results: The isolates were obtained from femur (28%), humerus (16%), tibia (31%), and radius/ulna (25%). Among 52 cases, culture was positive in 88% of cases. Thirteen genus of different species of microorganisms were isolated. The most common microorganisms isolated were Staphylococcus spp. and Escherichia coli followed by Streptococcus spp., enteric bacteria, Corynebacterium sp. and anaerobic bacteria. In 42% of cases cultures were mixed. The most effective drugs against isolated bacteria were amoxicillin and clavulanate potassium (79%) followed by ceftriaxone (69%). High-resistance rates were documented against azithromycin (80%), penicillin (59%), and clindamycin (59%).Conclusions: The present study highlights diverse etiologic agents in cases of infectious bacterial osteomyelitis, with predominance of Staphylococcus genus, and reinforces the importance of obtaining cultures and susceptibility profiles given the high rates of antimicrobial resistance.

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Bacterial cellulose (BC) has become established as a remarkably versatile biomaterial and can be used in a wide variety of scientific applications, especially for medical devices. In this work, the bacterial cellulose fermentation process is modified by the addition of chondroitin sulfate and hyaluronic acid (1% w/w) to the culture medium before the bacteria is inoculated. Besides, biomimetic precipitation of calcium phosphate of biological interest from simulated body fluid on bacterial cellulose was studied. Chondroitin sulfate and hyaluronic acid effects in bacterial cellulose were analyzed using transmission infrared spectroscopy (FTIR), XRD (X-ray diffraction) and scanning electron microscopy (SEM). FTIR analysis showed interaction between bacterial cellulose nanobiocomposites and calcium phosphate. XRD demonstrated amorphous calcium phosphate, carbonated apatite and calcium chloride on bacterial cellulose nanobiocomposites. Monocalcium phosphate monohydrate phase formation [Ca(H2PO4)(2)center dot H2O] are here attested by FTIR, XRD and Ca/P relation.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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