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Using findings of both the models enabled a new fume capture hood to be designed.
The level of spatial detail in the final models enabled a preliminary estimate of the future costs that might be needed to retain a similar level of protection against these diseases in northern Australia.
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Structural mean models enabled an adjustment for treatment non-adherence while maintaining a comparison of groups as randomised.
Global Address Space GASS) programming models enable a convenient, shared-memory style addressing model.
Parametric numerical models enable a detailed understanding the effects of geometry on the mechanical behavior of the wave springs.
In many practical applications, these models enable a significant reduction of the computational time while maintaining an acceptable level of accuracy.
Analogue models enable a qualitative study of the structural evolution of a collapse process and allow us to infer which geometric factors play a relevant role.
The models are calculated separately at each time step; however, their results are exchanged between the models, enabling a simultaneous calculation.
In particular, our models enable a customer segmentation which considers the temporal components of purchases and permit to perform explorative analyses of individuals under a new point of view.
ODE- and PDE-based models enable a model to use well-established analytical and numerical techniques, but they potentially oversimplify the system: an entire population of discrete entities is described by a single continuous variable.
Dynamical GRN models enable a rigorous distinction between structure (topology) and function (dynamics).
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