The phrase "approach makes the model" is correct and usable in written English.
It can be used in contexts discussing methodologies or frameworks in various fields, such as science, engineering, or business.
Example: "In our research, we found that the approach makes the model more adaptable to changing conditions."
Alternatives: "method shapes the model" or "strategy defines the model".
The low computational burden and the conciseness of the proposed approach make the model suitable for applications such as control and optimization strategies development to enhance PEMFC performance.
This approach made the model simple and sound, and allowed us to run the model on a broad scale; indeed, the simulation in this paper was performed using data available at the global scale.
Our approach makes the assumption that the model of dugong distribution and relative density developed from the time series of aerial surveys is a robust index of a region's conservation value for dugongs.
Our approach makes the comparison of the matching models with and without transfers particularly transparent.
The pattern-oriented approach also makes the model testable at various hierarchical levels due to the underlying details linked to the system's internal organization [ 28].
Comparisons of predictions of this approach with the same models that make no use of the constrained-equilibrium assumption indicate that (a) the chain of reactions could be explicitly broken without compromising the fundamental elementary nature of the model, and (b) the use of the constrained-equilibrium assumption makes the model less sensitive to the missing pathways.
The study shows that a quantitative interpretation of impedance spectra is possible with a reduced number of fitting parameters when a physically-based approach is adopted, making the model an attractive tool for diagnostic purposes.
Accordingly, our new models and approaches make the present over-optimistic simulation results more accurate and reasonable.
Perhaps this approach can be extended to make the model parameters explicit functions of climate and soil, leading to a rigorous, individual-based understanding of observed regional variation in forest structure and species composition.
To be able to do any comparison, we could only consider extreme cases of each approach that would make the models more or less similar.
