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Applications of this model enable the prediction of the mechanical behavior of metals under various nonuniform deformations.
The properties of the described model enable the gas concentration to be determined and may possibly be used for substance discrimination.
The results of the 1-D model enable the construction of surrogate functions for the thermal resistance and the pressure drop of the heat sink, which are considered as the objective functions for the multi-objective optimization through a genetic algorithm that leads to the optimal geometric parameters.
These unique reactions in the G. metallireducens model enable the growth of the G. metallireducens model on a wide range of substrates and has accurately captured the known physiological characteristics of G. metallireducens [ 2, 18, 23].
The model choice should ensure that the assumptions and the features of the model enable the inferences relevant to the study goals, such as testing of specific biological hypotheses.
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The model enables the resolution of porous electrode microstructures.
The modular concept of the developed model enables the consideration of indirect costs.
The SBUS security model enables the protection and control of middleware operations.
The Vfold model enables the prediction of kissing complexes (Cao and Chen 2011).
The model enables the construction of an automated procedure for mass data processing.
The calibrated model enables the efficient simulation of a whole virtual fiber web.
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