CEPIK, M;, HENKIN H, RIBEIRO JLD, FRANK AG, MULLER CJ, CARLIN D.
2014.
Modelo Integrado de Transformacao Institucional. In: HENKIN, Helio [organizador]. Modelo Integrado de Transformacao Institucional: O Caso do Ministerio da Industria, Desenvolvimento e Comercio Exterior. , Porto Alegre, RS: Editora da UFRGS
Carvalho, FEL, Ribeiro CW, Martins MO, Bonifacio A, Staats CC, Andrade CMB, Cerqueira JV, Margis-Pinheiro M, Silveira JAG.
2014.
Cytosolic APX knockdown rice plants sustain photosynthesis by regulation of protein expression related to photochemistry, Calvin cycle and photorespiration. Physiologia Plantarum. 150:632–645., Number 4
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Campestrini, L, Eckhard D, Rui R, Bazanella AS.
2014.
Identifiability Analysis and Prediction Error Identification of Anaerobic Batch Bioreactors. Journal of Control, Automation and Electrical Systems. 25:438–447., Number 4
AbstractThis paper presents the identifiability analysis of a nonlinear model for a batch bioreactor and the estimation of the identifiable parameters within the prediction error framework. The output data of the experiment are the measurements of the methane gas generated by the process, during 37 days, and knowledge of the initial conditions is limited to the initial quantity of chemical oxygen demand. It is shown by the identifiability analysis that only three out of the eight model parameters can be identified with the available measurements and that identification of the remaining parameters would require further knowledge of the initial conditions. A prediction error algorithm is implemented for the estimation of the identifiable parameters. This algorithm is iterative, relies on the gradient of the prediction error, whose calculation is implemented recursively, and consists of a combination of two classic optimization methods: the conjugated gradient method and the Gauss?Newton method.
da Silva Frozza, CO, da Silva Ribeiro T, Gambato G, Menti C, Moura S, Marcos Pinto P, Staats CC, Padilha FF, Begnini KR, de Leon PMM, Borsuk S, Savegnago L, Dellagostin O, Collares T, Seixas FK, Henriques JAP, Roesch-Ely M.
2014.
Proteomic analysis identifies differentially expressed proteins after red propolis treatment in Hep-2 cells. Food and Chemical Toxicology. 63:195–204.
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Pinto, SS, Zaffari P, Bagatini NC, Baroni BM, Lanferdini FJ, Radaelli R, Pantoja P{\'ıcia D, Peyré-Tartaruga LA, Schoenell MCW, Cadore EL, others.
2014.
Water-Based Concurrent Training Improves Neuromuscular Economy, Force Development And Jump Height In Young Women: 930 Board\# 345 May 28, 200 PM-330 PM. Medicine & Science in Sports & Exercise. 46:255., Number 5S: LWW
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