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Model comparisons demonstrate that the shape constraints lead to only marginal differences in statistical characteristics but ensure reasonable model predictions.
The model comparisons demonstrate that the proposed model provides significantly improved predictions of the ultimate conditions of FRP-confined HSC compared to the existing models.
Statistical model comparisons demonstrate that the best performing models always include some measure of mandibular motion, indicating that functional and statistical models of tooth shape as purely a function of the opposing tooth row are too simple and that increased model complexity provides a better understanding of tooth form.
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Comparisons demonstrate that both models are capable of predicting the turbulent-flow structures at the gap exit which are in a good agreement with measurements.
Although VP dispersal reflected several aspects of the observed MAP dispersal, the comparisons demonstrated model sensitivity to the small-scale (random-walk) particle diffusivity parameter (Kp).
Model comparison studies demonstrated that, after calibration, PF pesticide models clearly outperform chromatographic models for structured soils.
The methods and model comparison are demonstrated on Australian National Rugby League NRLL) injury data to provide defensible guidance on how to appropriately model recurrent sports injury data.
These comparisons demonstrated that model predictions based on the Pilling-and-Ridley work provided good agreement with observations at low levels of hydrostatic stress, while the Rice-and-Tracey approach was better at higher levels.
These comparisons demonstrated sufficient accuracy of BST models over quite large ranges in variation of the involved variables [ 22- 25].
The comparisons demonstrated that the proposed algorithm can be successfully applied in system modeling.
This comparison demonstrates the model's ability to provide accurate fit-free predictions of soil-temperature fields generated by GHEs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com