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In terms of business model structure we show that sustainable organizations use the same underlying business model structures as can be found in conventional firms.
The development of parameter identifiability over time can also be used to detect failure of model structures, as was shown by Wagener et al. ([2003]).
As noted previously, these differences highlight the ongoing uncertainties associated with model structures as well as significant uncertainties associated with plant source water and atmospheric vapor isotopic composition.
In summary, the third case study adds to the two others first by demonstrating how arbitrary (nonlinear) PK/PD model structures, as well as uncertainty in several PD parameters can be considered.
In our automated modeling experiment, we decided to minimize the apriori modeling assumptions and consider all 126 model structures as valid alternatives.
By way of a case study, we demonstrate the usefulness of the approach for estimating the relative importance of model parameter identification, objective functions and model structures as sources of stream flow forecast uncertainty.
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The reflectivity for s and p polarization and their phase shift is calculated for a dielectric model structure as well as for a transistor model structure consisting of multiple stratified layers including metallization pads.
A novel method is presented for implementing importance sampling for dynamic epidemic models, by conditioning the simulations on sets of validity criteria (based on the model structure) as well as the observed data.
We have fully disclosed the model structure as well as all the input.
As we mentioned earlier the model structure as well as its input and output variables are mostly not discretionary.
This information can highlight features to reflect in the model structure as well as to use in guiding model building.
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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