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The model succeeds in fast detection of targets in experimentally labeled parallel displays, but fails with serial ones.
The numerical model succeeds in describing the perforation mechanisms associated with each projectile-target configuration analyzed.
The model succeeds in identifying all major pyrolysis and combustion products and captures key trends in the product distribution.
Comparisons show that our model succeeds in providing an accurate representation of the behavior of TCP connections under several different settings.
The model succeeds in describing the physics that stands behind the process and is fast, accurate and flexible enough to be suitable for performance design of caisson breakwaters.
The model succeeds in predicting CO2 solubility, NMR speciation, and heat of CO2 absorption for PZ AMP blends with variable loading and temperature.
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The model succeeded in capturing the variability associated to the variability in the characteristics of precipitation.
With a broader engine range than before, does the model succeed in its bid for improved refinement and more excitement?
In all cases, the model succeeded in predicting the initial reaction rates with a relative deviation of less than 5%.
The model succeeded in predicting the relative variation of O2, CO2 and N2 partial pressure in headspace and the growth of the studied microorganisms without any parameter identification.
The model succeeded in predicting D. hansenii growth and lactose and lactate concentrations during the first step of ripening (curd deacidification) in core and rind.
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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