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This model proved piracy-proof and wildly popular.
This model proved so popular that by 1964, Marshall had opened his first factory in Hayes.
This model proved that neural networks are capable of reducing uncertainties related to the cost estimation of a shell and tube heat exchangers.
This model proved that neural networks are capable of reducing uncertainties related to the cost estimation of shell and tube heat exchangers.
This model proved to be well adapted to a wide range of material parameters for mixtures containing less than 30 wt% of silica.
This model proved to be relevant to predict the evolution of fatigue damage in notched C/PPS composites but not in C/Epoxy laminates.
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If this model proves to be successful, it could cut into the business of other Internet providers and wireless phone companies.
This model proves that surface immobilized aptamers can greatly enhance the attachment of seeded cells.
The results of this model prove effective, especially to develop the mindset and awareness of the students to gain special expertise.
If this model proves true, it would save billions of dollars and the years it takes to build new generators.
My hope is that this model proves to be a success and the other networks/stations get on board quickly.
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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