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In the ANFIS testing process, models predicted both recovery and flotation rate constant quite satisfactorily.
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Models predicting both mental and physical well-being differ across subsamples divided on the basis of serostatus.
The newly proposed reduction methodology is used for development of accurate skeletal models predicting both ignition and flame speeds for several hydrocarbon fuels.
The experiments have shown that this flexible reactor configuration performs indeed well and that the present models predict both the pressure drop and the conversion of nitric oxide accurately.
Combining FHI lifetime depression and anxiety problems in four models predicting both outcome scores for boys and girls, again only FHI lifetime depression significantly predicted all outcome scores.
The RSM model predicted both the trends and magnitude the most accurately when compared to the isotropic models.
In terms of desorption the model predicted both where desorption was occurring (solvent inlet, column, reboiler) and the total amount of CO2 desorbed.
By modelling interactions in existing tree mixtures, the model predicted both increases and reductions in the growth of mixtures (up to ±50% of stem volume at 7 years) compared to monocultures.
Thus, the model predicted both geographical and temporal variation well.
The model predicted both positive and negative effects of removing catabolism.
Our model predicted both previously demonstrated miRNA-protein associations and new candidate miRNA targets, and showed overall consistent miRNA-protein associations across three independent data sets.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com