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Simulation results demonstrate the effectiveness of these methodologies.
The effectiveness and usefulness of these methodologies were demonstrated through two application examples.
The feasibility of these methodologies being effectively incorporated into a residency curriculum is discussed.
Comparison to available aerodynamic nozzle data is presented to illustrate the viability of these methodologies.
However, some of these methodologies are often complex and not very easy to apply.
Several of these methodologies use different mechanical and probabilistic models, each one based on a number of assumptions and approximations.
Examples of the successful application of these methodologies are highlighted, demonstrating their performances within the practical drug discovery process.
Most of these methodologies follow the participatory design approach to involve the user in the design process.
The present successful applications strengthen the high potential of these methodologies for the automated development of chromatographic methods.
However, the results of these methodologies are not very accurate and reliable for building design and decision-making.
The paper identifies future research directions that should encourage a wider application of these methodologies in mainstream industrial practice.
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