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The adopted modelling methodology can therefore be used for further investigations such as exploration of different engine operations through virtual DOE of both operating and functional parameter variations.
In this study, we have shown how the choice of dataset and modelling methodology can profoundly affect the outcome of investigations into the topology of the yeast protein interaction network.
The proposed modelling methodology can be a useful tool to obtain the structure-activation barrier relationships of bio molecules and thus propose new ligations in click chemistry.
Finally, the equivalent circuit modelling methodology can contribute towards design of advanced PEO equipment with power supplies optimised to the electrolyser properties depending on the treatment conditions and with diagnostic instruments providing in-situ estimates of the coating properties.
Experimental results indicates that a proper identification of the dead volume improves model accuracy in terms of pressure dynamics, piston velocity and piston position and therefore the proposed modelling methodology can be a good starting point to design better motion controllers in the field of servo-pneumatic actuating systems.
A more in-depth explanation of the full modelling methodology can be found elsewhere [ 11, 15].
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Therefore the use of multiple modelling methodologies can provide a more complete understanding of the mRNA translation process, a robust platform from which to investigate specific biological effects.
The CAN methodology can be applied easily.
The final product of this modelling methodology is a combined model of phenomenological expressions and NNs.
In general the use of multiple methodologies in conjunction in specific problems, allows us to more clearly understand how different assumptions in the model, including those implicit in the modelling methodology, affect the conclusions and predictions.
The supported modelling methodology and the software features are adjusted to environmental modelling needs.
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