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In conclusion, the data support differences between substrains of Wistar rats and illustrate the utility of using a multivariate strategy for behavioral profiling.
The aim of the present work was to evaluate the effect of the main factors conditioning accelerated ageing processes (oxygen dose, chip dose, wood origin, toasting degree and maceration time) on the phenolic and chromatic profiles of red wines by using a multivariate strategy based on experimental design methodology.
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Feature selection was implemented using a multivariate searchlight strategy (Kriegeskorte et al., 2006), which examines the information in the local spatial patterns surrounding each voxel within the search space.
Next, using a multivariate logistic analytic strategy the baseline set of identified independent measures are reduced into a more parsimonious set of predictors.
A Plackett Burman experimental design was used as a multivariate strategy for the evaluation of seven factors/variables at once, while central composite were used to found optimum values of significant variables.
Experimental designs were used as a multivariate strategy for the effect's evaluation of varying several variables.
A Plackett Burman factorial experimental design was used as a multivariate strategy for the evaluation of the effects of varying several variables at once.
A Plackett Burman experimental design was used as a multivariate strategy for the evaluation of the effects of varying several variables at once.
A 28 × 3/64 Plackett Burman design was used as a multivariate strategy for the evaluation of the effects of several variables affecting the hydride generation, trapping and atomisation efficiencies.
A Plackett Burman 28 × 3/64 designs (PBD) was used as a multivariate strategy for the evaluation of the effects of several variables (MeOH/H2O solvent mixture, temperature, static time, extraction steps, pressure, mean particle size and diatomaceous earth (DE) mass/sample mass ratio) on the extracting procedure.
Piryatinska et al. [75] presented a channel selection method for neonate EEG sleep state classification using a multivariate analysis approach adopting filtering with a complete search strategy for subset channel selection.
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