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Philosophical caveats regarding models in system ergonomics are discussed, as well as the relation to scientific method.
Substrate limitation occurs frequently in wastewater treatment and knowledge about microbial behavior at limiting conditions is essential for the use of biokinetic models in system design and optimization.
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Models in systems biology are frequently evaluated by their overall predictive ability but are then interpreted on a component-by-component basis.
Nowadays most models in systems engineering are created with the UML as standardized set of notations.
But engaging in making models, in systems thinking, is a big boon to complex problem-solving.
In his course, Equilibrium Models in Systems Engineering, students work on real-life examples such as designing transportation networks.
Many models in Systems Biology are described as a system of Ordinary Differential Equations, which allows for transient, steady-state or bifurcation analysis when kinetic information is available.
Data and models in systems biology investigations are inherently interlinked.
Models in systems biology vary in their degree of network complexity and accuracy of representation [ 6].
We have demonstrated how to formalize the biological meaning of models in systems biology.
This is a general limitation of models in systems biology (Kreutz and Timmer, 2009).
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