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Designing Experiments to Discriminate Families of Logic Models
(Frontiers Media, 2015-09-04)
Logic models of signaling pathways are a promising way of building effective in silico functional models of a cell, in particular of signaling pathways. The automated learning of Boolean logic models describing signaling ...
Simultaneous determination of thorium and uranium in mineral fertilizers by inductively coupled plasma optical emission spectrometry
(2016-04-01)
The simultaneous determination of thorium and uranium in mineral fertilizers by inductively coupled plasma optical emission spectrometry (ICP OES) was optimized. The three-level factorial design was applied to optimize the ...
Optimization of Pothomorphe umbellata (L.) Miquel topical formulations using experimental design
(ELSEVIER SCIENCE BV, 2008)
Pothomorphe umbellata is a native plant widely employed in the Brazilian popular medicine. This plant has been shown to exert a potent antioxidant activity on the skin and to delay the onset and reduce the incidence of ...
An experiment design for validating a test case generation strategy from requirements models
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2018)
Comparison of the univariate and multivariate methods in the optimization of experimental conditions for determining Cu, Pb, Ni and Cd in biodiesel by GFAAS
(Elsevier B.V., 2009-10-01)
Experimental design was used as a tool to define the optimum pyrolysis and atomization temperatures for four analytes (Cu, Pb, Ni and Cd) in biodiesel samples. Two chemical modifiers (Pd + Mg and W) and two distinct sample ...
Computadores en investigación biomédica II: Control experimental, adquisición y almacenaje de datos
(Sociedad Médica de Santiago, 2001)
Design of SFRC members aided by a multiscale model: Part II – Predicting the behavior of RC-SFRC beams
(2020-06-01)
In the preceding Part I of this study, an experimental program and numerical analyses using a multiscale model are performed to obtain the post-cracking parameters of steel fiber reinforced concrete (SFRC) through the ...
Optimization of artificial neural network by genetic algorithm for describing viral production from uniform design data
(Elsevier B.V., 2016-03-01)
This work objective was to define a modeling approach based on genetic algorithm (GA) for optimizing parameters of an artificial neural network (ANN); the latter describes rabies virus production in BHK-21 cells based on ...
Application of Factorial Design Experiments to the Development of a Disposable Amperometric DNA Biosensor
(Wiley-v C H Verlag Gmbh, 2011-11-01)
The development of an amperometric DNA-based biosensor (genosensor) requires the optimization of many experimental parameters in order to maximize sensitivity. If only one parameter is evaluated per experiment, the resultant ...