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An easy method to test for the existence of inequity in health resource allocation is to test whether two (or more) groups (for instance the rich and the poor or different regions) receive the same amount of resource [10].
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That means the economy can produce more cans with the same amount of resources.
That is because Congress develops education programs and is likely to devote approximately the same amount of resources to education regardless of who is president.
This result is natural because a higher number of candidates are sharing the same amount of resources.
For a special case with the same amount of resources required, we show that it can be converted to a weighted bipartite matching problem.
It represents a fair scheduler in the sense that all users belonging to the same master base station are given approximately the same amount of resources.
That is to say, compared with PkuAS running with ACs, RSpring improves the system performance by 13.6 % with the same amount of resources.
The results show that RSpring can effectively improve the application performance by 13.6 % in PkuAS and 19.2 % in JOnAS with the same amount of resources.
The results show that it can effectively improve the application performance by 13.6 % in PkuAS and 19.2 % in JOnAS with the same amount of resources.
Round robin scheduling does not consider the user equipment feedback and cyclically assigns the same amount of resources to each user.
We still do not know if, given the same amount of resources, PBF buys more healthcare services or health than the status quo or other interventions.
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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