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The proposed model decreases the total inefficiency of all DMUs.
The proposed model decreases the running time in addition to improving the performance and convergence rate of the algorithm.
In comparison to the reference model, the optimal cyclone model decreases the pressure drop by 20.70% and the cut-off size by 75.38%.
The incorporation of weathering into the model decreases the rate of hillslope change when theoretical rates of sediment transport exceed sediment supply.
Compared to similar technologies, the model decreases the cost of calibration equipment, simplifies the calibration procedure and improves the calculation precision.
The results predict that increasing the radius of curvature in a concave model decreases the compressive residual stress generated in the component while increasing the radius of curvature of a convex model increases the compressive residual stress induced in the material when compared with a flat component.
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The mixed model decreased the maximum values of each single model.
Several rounds of smoothing and remeshing the model decreased the number of triangles to less than 32,000.
The overall gain in the training model decreased the most when slope was withdrawn from calculations, indicating that this variable provides a substantial amount of useful information that is not already contained in the other variables (Fig. 2).
The additive model decreased the association (P = 0.001) compared with the dominant model (P = 1.5 × 10−5).
Adding the random intercept to the model decreased the −2 log likelihood by 4529.25 4493.50 = 35.75.
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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