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The results of numerical modelling were interpreted on the basis of gravity-driven regional groundwater flow concept and validated by field mapping of groundwater-related phenomena.
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Modelling is interpreted here in its widest sense: from empirical rules and curve fits, to advanced statistical methods such as neural networks, to physically-based process models.
Statistically significant results in any model were interpreted as showing the specific contribution of speech-brain entrainment to brain-brain entrainment.
The loadings and scores from the JYPLS model were interpreted to isolate the root cause of the observed drift in the calibration model.
Gas tracer responses in cold flow models were interpreted by a one-dimensional axial dispersion model, and combined with reaction kinetics to develop a conversion model.
GP models were interpreted on the basis of ligand descriptors.
The transformed regression coefficients derived from the model were interpreted as the acceleration factor (AF).
Only those PCs that were statistically significantly correlated to RSA data or included in the multivariate models were interpreted.
The coefficients in these models were interpreted as either log odds (OR) in binary GLM models or multiplicative factors (MF) in Poisson GLM models.
The results of the final multivariable model were interpreted as the minimal delay in minutes per variable, holding all other variables constant.
Significant interactions between a prognostic factor and country in these models were interpreted as this factor having different associations with outcome in the countries.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com