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In both models a large roller occupies a generous volume of the sampled pool, the presence of which is not supported by experimental measurements.
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Both models explained a large percentage of the measured spatial variation (R for the large-area LUR = 87%; R for the city-specific LUR = 72%).
In addition, neither model captures the experimentally-observed ignition temperature rankings, with both models predicting a large spread among n-/iso-/sec-butanol which does not appear in the experimental results.
We compare both models on a large and diverse dataset of enzymes.
A trimmed model that included only significant predictors had an adjusted R-squared value of 0.7028, suggesting that the trimmed model fits the data as well as the full model, and both models explain a large part of the observed variation in EQ-5D scores.
"These acoustic models have the ability to model a large amount of acoustic context".
We then propose a hybrid approach by sampling both the surrogate model in a "large" portion of the probability space and the original system in a "small" portion.
The best steamers are heavy-duty models with a large plate, ideally at least one foot square.
These models have a large number of parameters.
Second, we model a larger number of species than previously attempted.
In the larger animal model, a larger volume of tissue can be ablated with higher doses of Coulombs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com