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It assigns a merging rule to each keyword.
It assigns these temperatures to surface elements of structural members based on proximity and directionality.
It assigns a probability to outcomes across the country based on the data collected.
It assigns them very different obligations and responsibilities, all based on GDP levels from 1992.
It assigns one number to a start, making it easier to compare.
It assigns the functional blocks and primary inputs/outputs simultaneously and considers the package imposed constraints during the planning stage.
It assigns a weight factor to each of the individual intelligent algorithms showing its contribution in overall prediction.
It assigns 0.55 to Heads and 0.45 to Tails.
It assigns the same number of physical resource blocks (PRBs).
It assigns trust to one-hop neighbour in the network.
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It assigns a red, yellow or green light on safety (36% receive reds or yellows).
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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