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Mathematical modelling has proven to be very useful in process design, operation and optimisation.
CFD modelling has proven to be a powerful tool for the design of UV reactors.
Agent-based modelling has proven to be a promising approach for developing rich simulations for complex phenomena that provide decision support functions across a broad range of areas including biological, social and agricultural sciences.
Systems biology modelling has proven to be a powerful tool for targeting metabolic changes.
Moreover, the same style of conceptual modelling has proven fruitful in developing a theory of cognitive robotics [ 18].
Mathematical modelling has proven effective in retrospectively predicting the global circulation of the 1968 69 influenza pandemic, starting from Hong Kong and using coupled local epidemic processes [ 4, 5].
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The development of mathematical modelling has proved important in understanding and predicting natural phenomena.
For many merchants, this model has proven quite lucrative.
And the remote-rental model has proven tricky, Netflix notwithstanding.
"Google's business model has proven to be better than that of your typical Internet company because of its focus on performance".
The model has proven to be very robust and reliable.
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