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3, strong links are more stable in the JWBG1 model than in the JWBG2 model, while for weak links the situation is the opposite.
With a large number of repeated cross-validations our opinion is that the issue of stratification becomes redundant when selecting a model, while for assessing the model it is wise to use stratified cross-validation.
For (h = 1), we observe that the RMSE interval is between 0.82 and 1.07 for the ARIMA model, while for the macroeconomic diffusion index it is between 0.62 and 0.83.
For example, for high fluid dynamic viscosities, the relationship proposed by Novotny (1977) underpredicts the settling velocity of the model, while for smaller fluid viscosities the values from the same relationship are larger than the model.
As for the constant temperature boundary condition, the hydrate dissociates by shrinking in all dimensions for the equilibrium model while, for the kinetic model, it dissociates with no specific pattern throughout the entire reservoir.
In the frequency range below 800 Hz, the flexible track model shows lower contact forces than the rigid model, while for frequency higher than 1000 Hz, the contact forces of the flexible track model are slightly higher than for the rigid track model.
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Correction factors are close to 1 for the Sinus model while higher for the head model without vasculature.
Crosses denote results for capacitive model while solid lines-for galvanic model of the coupled open ended coaxial waveguide resonator.
That model, while updated for inflation, has been criticized for being out of date, inaccurate and not taking into account how expenses like housing vary nationwide.
BO models that incorporate the calculation of Rv are considered "modified" BO PVT models, while for the classical BO models, Rv = 0.
For models without age, mean error averaged 0.530 and 0.384 m3 ha−1 yearespectivelyively, for non-parametric and parametric models while for models with age, mean error averaged 0.613 and 0.451 m3 ha−1 yearespectivelyively, for non-parametric and parametric models.
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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