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Mathematical modelling has great potential as a tool to guide and inform current elimination efforts.
Mathematical modelling has proven to be very useful in process design, operation and optimisation.
Mathematical modelling has played an important role in explaining how collective properties emerge from the molecular interactions.
For the past decade, extensive mathematical modelling has been conducted on the design and optimization of liquid-feed direct methanol fuel cells (DMFCs).
Here we review examples in which the combination of quantitative experimentation and mathematical modelling has given mechanistic insights into the processes involved.
In the past, mathematical modelling has made valuable contributions to our understanding of IAV infection, focusing either on IAV replication15,16,17,18,19,20,21 and/or host immune responses to IAV22,23,24,25,26,27,28,29,30,31,32.
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The findings of this systematic review and mathematical modelling have a number of important implications.
Mathematical modeling has been utilized.
A specific mathematical model has been developed.
For this purpose, a mathematical model has been developed.
The mathematical model has been validated with the experimental data.
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