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Examining charges appears to be somewhat misleading because for any one given resource they seem to bear little relationship to the cost, and are also widely variable between institutions [ 36].
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It is assumed that a TN can transmit data to at most one UE in any given resource slot.
For any discovered resource, the user can click on the eyeglass icon on the results page and see a narrative on why any given resource was discovered.
Different levels of input achieve different levels of output, and given resource constraints, one can trade off inputs against outputs.
Thus, if we compare the tags generated by our approach for a given resource with the ones selected by users' of another system, we will be comparing the other system bias with ours.
Another approach is to use a greedy algorithm as in, e.g. [34 36] that assigns one user at a time to a given resource, forming a near-optimal solution both in terms of spatially compatible users and exploiting multiuser diversity.
In the case of SU-MIMO only one user can be served at a given resource, C i =1, while transmission to a maximum number of C i =N i users in parallel is possible for MU-MIMO.
To squander (if that is the word) our given resources on one art leaves us proportionately bereft in others.
A subtask is processed on one resource at a time, and the given resources are available continuously.
Children can now be given resources for dealing with complex systems resources that no one has ever had before.
Children can now be given resources for dealing with complex systems — resources that no one has ever had before.
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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