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Although the NO2 predictions were able to match the measured city means, the predicted within-city residuals were less consistent with those measured.
In general the model predictions were able to match experimental data with reasonable accuracy.
The computational predictions were able to identify the correlation between the amount of saturated fatty acids and melting profile, offering quantitative insights for the whole ternary diagram.
Taken together, these data indicate that the drug sensitivity predictions were able to account for the complex patterns of cell line growth inhibition for this particular drug.
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The analytical predictions are able to capture the empirical distributions only in a qualitative manner.
It is apparent that our algorithms' predictions are able to properly follow the real aggregated consumption during each hour.
However, despite all the above, our algorithms' predictions are able to mostly follow the overall behavior during most days (e.g., users #3 and #1).
Consequently, the developed method and predictions are able to aid in figuring out the reaction phenomena of experimental work and designing the reactor for achieving methane TCD.
3. Trend Prediction Being able to predict the future seems like something more for the fantasy books than reality, especially when it comes to the often volatile global business environment and the unpredictable consumer.
This way, the Link Prediction is able to calculate what link is likely to go down soon.
Our prediction was able to successfully identify the HNF3 HNF4 binding sites on its promoter.
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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