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This model also yielded some interesting insights into how the brain functions.
The model also yielded instantaneous values of the radius and sample length.
The Redlich Peterson model also yielded the best fit to experimental data for all three dyes using the nonlinear error functions.
Figure 5A shows the normalized MAPE comparison for the sub-tribal and administrative boundaries, and demonstrates that the MAPE for Gravity Model predictions made via administrative boundaries ranged from 150% to 230% higher than that of sub-tribal communities, while the Radiation Model also yielded 20%to50%0% higher MAPE values for administrative boundaries.
Meta-analysis (Fixed effect model) also yielded similar result (Table 1).
This model also yielded significant correlations between each factors (see Table 2).
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The model also yields distribution functions for the induction time that mimic the highly asymmetric form exhibited by experimental data.
This equilibrium-dispersive model also yields expressions for temporal moments, which provide an approximate solution for the distribution.
The model also yields a scaling law for linear natural frequency that can be extended to general, complex 3D geometries, as validated by FEA and experiment.
The lower-dimensional fracture model also yields improved results when compared to those of the hybrid-grid model for fractures with low-permeability in the normal direction to the fracture.
Their model also yields a simple expression for the welfare gains from trade (p. 15): Real income = A* 1-import shA* 1-importeta) where A ishareional productivity and theta is a parameter of their assumed random process (don't ask); they suggest that theta=4 provides the best match to available data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com