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Attributes of the models are illustrated through comparison with piezoceramic, magnetostrictive and shape memory alloy data and prediction of material behavior.
Several important issues like the possibility of choosing the complexity of the model with the leverage correction procedure, the selection of training and test sets using methods of uniform design for incomplete data and prediction of new samples containing missing elements are discussed.
EHM and PD conducted the analysis of microarray data and prediction of regulated pathways.
This article extends this approach to time course data and prediction of dynamics.
Plots between the observed behavioral data and prediction of each model for comparison are presented in Fig. 1.
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Cole and Rogerson (1999) compare the data and predictions of the Mortensen-Pissarides model.
We discuss problems arising in comparison between helicity data and predictions of solar dynamo theory.
This contradicts experimental data and predictions of the discrete particle theory (atomic-lattice approach) for high frequencies.
Finally, experimental/numerical validation has been provided by comparing the J-integral and COD between numerical/test data and predictions of the proposed estimation schemes.
Experimental results are compared with available literature data and predictions of the model based on the recently published detailed reaction mechanism of DME oxidation.
The predicted dimensionless permeability, water and gas relative permeabilities based on the proposed models are in good agreement with experimental data and predictions of numerical simulations reported in the literature.
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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