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We present here a geometric characterization for this set of fixed poles as well as a constructive procedure (based on geometric tools) for designing a feedback solution of the problem which assigns the remaining poles to arbitrary prespecified locations.
For each pair, it assigns the remaining elements of the node to one of the representatives.
In the last step, the algorithm assigns the remaining resource blocks to the non-real-time users.
If the number of SMAP jobs exceeds the number of data nodes, the number node assigns the remaining jobs as soon as a data node becomes available.
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Then we randomly assigned the remaining active compounds into the reference set and the test set.
We enrolled and randomly assigned the remaining 42 to the aPTT or TEG arm.
If yes, the worst remaining user gets its maximum number of PRBs, and we assign the remaining budget in the next iteration.
Assigning the remaining molecules to the cluster seeds using rule (a) yields clusters with decreasing maximum LE while using rule (b) produces clusters that are structurally more consistent.
Consequently, ECT needs to assign the first 2000 data blocks to obtain the processing time estimates of all task slots, before it can assign the remaining data blocks according to the ECT rule.
The investigator has the choice of two assigning rules: Assign the remaining molecules to (a) the first cluster seed whose similarity to the candidate molecule is within the specified threshold or (b) the most similar cluster seed.
Then, we assign the remaining points in (to) thethe clusters of T, using a nearest neighbor approach with respect to the centroids (i.e., the collective footprints), obtaining in this way a labeling (L_{1}).
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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