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Mathematical modelling is increasingly applicable to the practical sciences.
Mathematical modelling is an essential tool for the design of solid oxide fuel cells (SOFCs).
Mathematical modelling is a way of including mechanistic understanding to use available data to make predictions.
Mathematical modelling is a powerful tool for the organisation and analysis of biological data.
Issues of concern arise when mathematical modelling is being introduced into a curriculum.
Mathematical modelling is used for prediction of RR as a function of both time and temperature.
In order to check the viability of conversion mathematical modelling is used.
Mathematical modelling is used routinely to understand the coding properties and dynamics of responses of neurons and neural networks.
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Mathematical modelling was also mentioned.
Mathematical modelling was based on Rohles approach.
Mathematical modelling was used where data was incomplete.
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