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The performance of the MJS and ANN models was significantly improved by incorporating root-zone soil moisture.
The predictive ability of the models was significantly improved when going from the empirical docking scoring function to mixed empirical-QM-DFT QSAR models (Q2 = 0.78 0.86 when cross-validation procedures were carried out; and R2 = 0.81 0.83 for a testing set).
Nevertheless, when CHM-based metrics were used we found that the accuracy of the AGB models was significantly reduced for point densities below 5 point m−2.
Again, the global topology of the final models was significantly closer to the native structure than were the threading alignments.
Cu-porphysome uptake in tumors for both models was significantly higher (p < 0.05) than healthy prostate tissue in all groups.
Secondly, aggregation associated with the expression of the P182L-HSPB1 mutant in cell models was significantly reduced by the overexpression of wild-type HSPB8 (Carra et al., 2010).
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Mass argues that these models are significantly flawed in comparison with commercial and European alternatives.
Full-spectrum models were significantly affected by lactose particle size.
Unsurprisingly, these data show that on average these models are significantly taller, thinner, and lighter than the rest of the population.
The RHL models were significantly affected by urban and forest areas, reflecting urban heat islands.
Best predictor models are significantly improved when the influences of elevation, coastal effects and urban structure are added.
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