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Both models are almost similar and yield comparable results for flood susceptibility mapping.
Looking into the comparison of the accuracy, the mean squared error (MSE) values on training data in both models are almost same, while the MSE value of BA-ELM on validation data is three times lower than that of BA-NNs.
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The results from both models were almost identical, as were estimates of the model fit.
Any of these variables did not change effect estimates >10%, and therefore in the results we only show the multivariable model 1 because the results in both models were almost identical.
The histological picture observed in xenografts from both models was almost identical to the original human tumors, consistently portraying the PMCA-I histological subgroup, although the general impression was that the xenografts were slightly richer in epithelial cells.
The r values of both particle and intra particle diffusion models are almost comparable and propose that the fluoride distribution on AHAC follow both the models.
The textures and character models are almost uniformly bland and artificial.
The two models are almost the same.
These models are almost consistent with our models.
The predicted values of reaction rates based on the kinetic models are almost consistent with experimental ones.
While physical modeling has been important historically, and is still a central part of chemical education and some investigations in stereochemistry, contemporary chemical models are almost always mathematical.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com