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Quantitatively, on average, the absolute range of value of relative deviation indicates that discrepancies between IRI predictions and the observational data are smallest in M3000F2, intermediate in h m F2, and largest in N m F2.
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Changes to the data are smaller and less correlated to topographic features.
and showed the global existence of the solutions if the initial data are small enough.
Moreover, Problem (1.1) admits global solutions when the initial data are small (see [1]).
The errors between the predicted results and experimental data are small.
Since we may deal with the initial data in the weak Lp-spaces, the existence of self-similar solutions provided the initial data are small homogeneous functions.
By comparing with the existing system Gluster Swift, the proposed system is demonstrated much suitable for the service environment where most of the transmitted data are small files.
Also it is well known that if the initial data are small enough the solution will actually decay exponentially as t ⟶ ∞ (see e.g.[1], [24]).
This is a small inefficiency because the amount of infon data are small.
Available data are small isolated reports that do not cover different hospital locations.
Although the differences between the PKQuest and experimental data are small in absolute value, they represent large relative values.
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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