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Forest biomass and crop yield output fit closely to field observation data because multiple iterations were run on the related spatial scalars.
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Multiple iterations are normal for Olympic brands.
Multiple iterations are then performed in the same way.
Multiple iterations are run for a system employing ULIP and the benchmark systems.
Multiple iterations are performed to correct the residual error between the forward projection and acquired image.
Since each iteration of deformation and annealing imparts a modest increase in the fraction of twin and special grain boundaries, multiple iterations are required to achieve a sufficiently high fraction (~50%) of special grain boundaries that result in the improved properties.
It should be apparent that multiple iterations are eventually needed to evaluate all criteria that define a relevant animal model and that it is unlikely that all questions posed during the evaluation stage can be answered in one 'decisive' study.
The results of multiple iterations is combined using a union set operation i.e., a pair of strings are considered to be similar, as long as we see the strings hash to the same values in one of the l iterations (or l samplings).
Multiple design iterations were simulated with projected pedestrian flow.
Multiple GA runs were used because multiple isolated iterations are more advantageous than a single GA run and reach the global solution using fewer function evaluations.
In later stages, multiple internal iterations are not producing any significant gain, thus mainly adding to the computational complexity.
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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