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In addition to address the cross correlation of the developed models, the illustration of the spatial distribution of porosity predicted by both models is interpreted in the target zone.
The proportional odds ratio that results from ordinal logistic models is interpreted as odds of having both types of impairment against the cumulative odds of having either one impairment or none associated with one unit increase in the predictor (ie, pre-sarcopenia vs controls; sarcopenia vs controls).
The predictive ability of these variables in these models is interpreted as a representation of how decades of economic and housing development, frequently discriminatory, manifest in the array of land-use, land cover and urban design factors that influence the physical phenomenon of the urban heat island (e.g., see Schill, 1995).
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GP models were interpreted on the basis of ligand descriptors.
These models are interpreted in terms of a biological drive for cognition.
Note that whereas propositions in modular models are interpreted semantically, as truth values, justifications are interpreted syntactically, as sets of formulas.
This article identifies measures to ensure that enterprise models are interpreted as intended, thereby controlling the quality of processes using and reusing enterprise models.
Examples are employed where the resulting terrain models are interpreted with additional field inspection to further the understanding of the archaeological features and structures.
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.
The discontinuities between the two models are interpreted in terms of differences in the composition of the neutral atmosphere in the two latitude regions.
The estimates of linear mixed effects models are interpreted like ordinary linear regression models.
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CEO of Professional Science Editing for Scientists @ prosciediting.com