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The use of simplified models allows us to probe the direct effect of the proximal ligand (tyrosinate in catalases and histidine in peroxidases) without masking from the protein environment.
However, the use of simplified models also raises various epistemological questions: How do we choose the right simplified models?
These so-called process constraints can include the use of simplified models or interfaces, for example.
The calculation of control actions is significantly reduced by the use of simplified models.
Also, the intended application, e.g. differential diagnosis or response assessment, may or may not allow for the use of simplified models or methods.
Similarly, the use of simplified models with experimentally determined lumped coefficients allows satisfactory predictions only in very limited range of operative conditions, strongly reducing their potential to be relevant to the DEMO design.
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The fact that few congruent results have been documented to date may reflect the use of simplified model communities, where the selection of species with particularly traits may bias the effects that are observed.
To test the hypothesized model author used the sequence of simplified models.
Finally, the results of simplified models using material data obtained from numerical homogenization are compared to the results of models with heterogeneous build-up.
We then assessed the utility of simplified models by using only the most predictive loci.
Indeed, the numerical model requires high calculation time; conditions of use of the simplified models are limited, and experimental models need not only important financial resources but also a perfect control of experimental devices (e.g. scale model), as well as climatic characteristics of the location (e.g. in situ experiment).
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