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The model enabled us to successfully estimate the characteristics in the TMF and LCF failures.
The model enabled us to determine the evolution of the local mechanical fields with deformation and temperature.
The introduction of a discharge coefficient CD in the model enabled a good correlation with the experimental results.
Taught in business schools and imitated by companies in other industries, the model enabled Dell to be the low-cost producer of computers and dominate an industry known for falling prices and low profit margins.
The model enabled the prediction of processing parameters in the feed and main extruders, from which the optimum conditions for processing TPNR were obtained.
A sensitivity analysis of the parameters of the model enabled identification of the key elements of stent design that influence the degree of stent migration including flares design, stent length as well as longitudinal and radial stiffness.
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The model enables the resolution of porous electrode microstructures.
The model enables the investigation of the treatment efficiency's sensitivity upon the main operating parameters.
The model enables full-f gyrokinetic simulations of ITG-TEM turbulence with a reasonable computational cost.
The model enables both quantitative and topographic simulations of microstructural evolution before and during metadynamic recrystallization.
The model enables an accurate kinematic simulation for designing precision grinding processes.
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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