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Results determined that this model leads to high level of customer satisfaction against classic model.
This model leads to design a monitoring strategy adaptable to each industrial requirement.
This model leads to efficient estimations of the main reinforcement placed in strips between piles.
This model leads to a modified scaling law for the flow stress of metallic foams.
This model leads to the appearance of a density ratio in the propagation term of the G equation.
This model leads to a very favorable student/instructor ratio, especially when the research team is considered to be the student unit.
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This model led to a set of ordinary differential equations that were solved with a Runge-Kutta algorithm.
The estimations of this model led to another maximum in the likelihood function (−290.46), whose estimators of variance in trend were significant and showed a smoothing similar to the one presented.
This model led to the design of JNJ-5207852, a diamine-based H3 antagonist with good in vitro and in vivo efficacy but with an undesirable long half-life.
Thus, this model led to macroscopic (distension, discoloration, hemorrhage, or wall necrosis) and microscopic features close to human NEC.
Indeed, the usage of this model led to even better supported placement of the diatom nuclear psb28 genes compared to CAT model (see Figure 3 for details).
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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