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We obtain a general characterization result which is the applied to characterize Arnold and Strauss' bivariate exponential distribution and some related models.
The main result of the paper is a characterization result; in fact, we show that our class of means characterizes a large class of means, the class of homogeneous symmetric monotone means.
There is another important lesson to draw from this epistemic characterization result.
The characterization result draws a line between the solvable and unsolvable problems.
Then we prove existence of such warped products by applying a characterization result.
The X-ray structural characterization result supported that the proton transfer has been ensured by Grotthuss mechanism.
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These epistemic characterization results are historically important.
The result identifies with characterization results.
Fig. 2 SEM and AFM characterization results.
In this section, we present two fundamental epistemic characterization results.
Faults characterization results as a consequence.
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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