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It should be noted that the predictive capacity for the phenotypic change does not necessarily translate in the ability to predict the means to deliver this change.
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Equations to predict the mean erosion rate are proposed.
Simulation is able to predict the mean values from tests with little deviation.
We applied a linear model to predict the mean valence and arousal ratings.
An analytical solution was proposed to predict the mean crushing force for each failure mode.
The first moment equations are shown to predict the mean velocity components and the mean pressure.
Expressions are derived to predict the mean crushing force of the angle elements.
The model was used to calculate thermal resistance and predict the mean temperature of the heat source.
The unsteady computations are shown to predict the mean variables and the total shear stress quite well.
Performance on the spatial measures did not predict the mean dip angle estimates (R 2 = .005, F < 1).
Two soft computing methods were extended in order to predict the mean wall and bed shear stress in open channels.
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