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The PCR model was compared to a general multiple regression model conducted with only climate factors as independent variables.
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Preliminary docking studies using AutoDock and optimised α1-adrenoceptor homology models, conducted with the antagonists prazosin (32) and 66, showed good agreement with the findings from the pharmacophores.
The PCR model was compared to a general multiple regression model conducted only with climate factors as independent variables.
The numerical design procedure is verified by model tests conducted with a catamaran model both with and without the centerbulb.
Comparative analysis of the proposed model is conducted with some traditional models such as neural networks (NN) and adaptive neuro fuzzy inference system (ANFIS).
The simulation for the age-dependent model was conducted with the same parameterization and simulation procedure used for the time-dependent model.
The zero-out modeling was conducted with the Community Multiscale Air Quality CMAQQ) model and the source apportionment modeling was completed with the Comprehensive Air Quality Model with Extensions (CAMx).
Fixed and random effects models were conducted with best model fit determined by the deviance information criterion [ 21].
The first model was conducted with only the individual socio-demographic factors followed by a new dimension for each model step.
With the extended evolutionary model, conducting experiments with real data involves several extra steps besides the refinement step, each of which is a potential source of errors.
The study was designed with survey model and conducted with 302 students enrolled in secondary education.
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