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Activities viewed as costs by self-interest models are thus seen as benefits instead.
Simplified models are thus some kind of mediator between experiment and theory, and they allow physicists to (learn to!) explore the space of viable theories and experimental signatures.
Realistic channel models are thus of utmost importance for system design and testing.
Habitat suitability models are thus theoretical concepts that can be used for planning in fragmented landscapes and habitat conservation.
Predictive models are thus established that can be used to optimize bioprocessing conditions and identify useful genetic manipulations.
Computational fluid dynamics models are thus increasingly used to study the airflow patterns and heat transfer inside ventilated packaging during precooling.
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The use of statistical regime-switching models is thus investigated.
These models were thus meant to represent what the climate would do on its own if humans were not altering it.
Automatic code generation from these models is thus only possible if further semantic definitions are provided.
A pair of improved bounded DEA models is thus proposed to overcome the drawback.
The energy of models was thus always minimized before evaluation by the predictors.
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CEO of Professional Science Editing for Scientists @ prosciediting.com