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Therefore, for the reference analysis of the EP regression model we recommend the use of the posterior median.
Should a user want to train a similar model, we recommend doing it on a machine with at least 32 GB of RAM and a graphics processing unit (GPU) with at least 8 GB of VRAM.
To increase the reliability of FDG PET data modeling with the two-tissue compartment model, we recommend FDG infusion over about 5 min; to include an appropriate value for the fractional blood volume in the tissue of interest as well as to correct the IF for blood cell uptake kinetics.
For example, when annotating molecular biomarkers using the ERAIZDA model, we recommend including supporting evidence.
If the default WoMMBAT values fail to work for your model, we recommend following these steps, based on our own experimentation: First, start with a simple model.
Based on this model, we recommend that the challenge test be conducted on children >=36 months of age who have a blood lead level between 1.45 and 1.64 micromol/L 30-344 microg/dL) and on children who have a blood lead level 1.69-2.12 micromol/L (35-44 micregardlessgardless of age.
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To allow more transparent analysis and appreciation of the modeling, we recommend, however, that future modeling analyses employ check-lists on good-modeling practices [ 27].
"On the plug-in models, we recommend one with a battery backup," he said, to keep the unit operating if the electricity goes off.
Therefore, in cases when there is no prior information for the analysis of EP linear regression models, we recommend the use of the reference prior π r 3.
For the turbulence models, we recommend that a wide-range of turbulence models (including newer models) be re-examined on the current hypersonic experimental database, including the more recent experiments.
For the most recent perspective on the development and use of neural field modelling we recommend the book by Coombes et al. [10], which also includes a tutorial review on the relevant mathematical methodologies (primarily drawn from functional analysis, Turing instability theory, applied nonlinear dynamics, perturbation theory, and scientific computation).
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