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We use analytic benchmarks to demonstrate equal-order convergence for both velocity and pressure when solving problems with curvilinear geometries.
More details of the aforementioned benchmark algorithms can be found in Section 4, and experiments were conducted with the benchmarks to demonstrate the validity of our database in Section 5.
Extensive experiments are carried out on three standard 3D shape benchmarks to demonstrate the much better performance of the proposed clustering approach in comparison with recent state-of-the-art methods.
The implementation of clinical guidelines and protocols and audits of practice against evidence based benchmarks to demonstrate improvements were commonly nominated by the network groups as outcomes, as was the development of or adaptation of guidelines.
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Finally, the case studies are conducted on the IEEE 10-machine-39-bus test system as benchmark to demonstrate the validity and effectiveness of the proposed enhanced cascading failure model.
The schemes have been verified and validated against several benchmark cases to demonstrate their effectiveness and robustness.
The proposed method is applied to an 18-panel horseshoe benchmark problem to demonstrate its flexibility and potentiality.
The proposed approach is applied to an industrial CSTR benchmark system to demonstrate the merits of our proposed solution.
The performance of the model is examined using two benchmark datasets to demonstrate the effectiveness of the model.
Computational experiments were carried out on classic benchmark problems to demonstrate the effectiveness of this new method.
(1//sum {C_{j} }) is chosen as one of our benchmark problems to demonstrate the effect of neglecting our financial assumption in traditional scheduling techniques.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com