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Inner model evaluation shows that marketing capability has full mediating effect within the model.
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The model evaluation showed that the simulated magnitude and spatial patterns of soil redistribution and SOC stocks are in good agreement with field observations.
Both kinetics study and model evaluation showed that Monod model, modified Stover Kincannon model and the Grau second-order substrate removal models could be used to describe the kinetic behavior or design of the marine anammox reactor.
The external model evaluation showed high uncertainty of overall survival predictions based on the reported estimates of PSA0 and KG, with relevant deviations between observations and predictions.
Models evaluation shows that MFIS performance is considerably better than the MRA model and its results are quite consistent with measured data.
The model evaluation statistics showed satisfactory prediction of bed outflow nitrate concentration during subsurface drainage flow.
Model evaluation statistics showed better flow rate prediction with Forchheimer's than Darcy's equation when compared with the measured flow rate.
Model evaluation parameters showed that quadratic model adequately (r2 > 0.98) described the experimental data for all the studied properties and tetracycline adsorption.
The model evaluation results showed that the proposed FNN can provide a more accurate decision compared to the fuzzy c-means algorithm.
Results from a model evaluation are shown in Table 2. Scatter-plots of predicted versus monitored concentrations, set against one-to-one lines representing perfect correlation, can be seen in the Supporting Information.
Patient factors associated with PHQ-9 positive screening, the corresponding chi-square statistics, adjusted odds ratios (OR) derived from multiple logistic regression analyses, and model evaluation statistics are shown in Table 3.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com