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Model predictions were first compared against experimental data obtained from the literature and subsequently used in a parametric study for investigating scale-up effects associated with both process and photoreactor variables.
Coiled-coils, which correspond to regions that often fool some predictors into giving wrong predictions, were first identified by visual inspection of the HCA plot and then confirmed using the Multicoil program [47].
Model predictions were first linearly rescaled between 0 to 100, applied to each 1-km2 grid cell, and mapped across the Intermountain West as oil and gas development potential where 0 = low potential and 100 = high potential (Fig. 1A).
The predictions were first compared with the Biolog phenotype microarray (PM) data http://www.biolog.com.
Genomic predictions were first computed using a multi-step approach [ 14].
Absolute risk predictions were first calculated by Cox regression model with and without methylation marker for each individual, followed by assigning risk categories according to the recommended 10-year risk categories: 0 5%, > 5 10%, > 10 20%, and > 20% of predicted probability for a cardiovascular event (Cook 2007; Pencina et al. 2008).
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The model predictions are first verified against experimental observations.
The model predictions are first validated against experimental observations.
The model predictions are first illustrated in a uniaxial test under quasistatic loading conditions.
The model predictions are first confirmed with experimental data obtained from an equivalent film coating pan using a machine vision system.
The predictions are first validated by comparing the Newtonian and non-Newtonian power consumptions and mixing times against literature experimental data.
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Justyna Jupowicz-Kozak
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