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A few remarks must be made: in our study model based parameters were used because they are more strongly related to physiological characteristics of the tissue (perfusion).
For both DCE-MRI and DW-MRI model free and model based parameters were computed pixel by pixel on manually segmented ROIs.
Moreover, in our study, in contrast to Cai et al. [ 48, 49], we combined features including model free and model based parameters evaluated by DCE-MRI data and DW-MRI data.
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Our results imply, in contrast, that the model is too complex in the sense that these parameters cannot be determined by model based parameter estimation.
We calibrate the model based on parameters for the United States and the euro area and employ a numerical dynamic programming algorithm to derive the optimal policies.
Then the fully discrete SMFE model based on parameter-free and two local Gauss integrals is described in the following.
We then introduce an induction parameter model based on the two parameter model of Taki and Fujiwara [1] and the work of Oran et al. [2].
The present report is based on the construction of a 3D motoneuron model based on available parameters applicable to the neonatal spinal cord.
For that purpose, a three degrees-of-freedom substructuring model based on modal parameters is proposed.
A 2D symmetry model based on the parameters of the oriented UTCL was established.
We propose a simplified model based on geometrical parameters that predict maximum and gate temperatures, obtaining satisfying results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com