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One distinguishes between two different versions of node synchronization in sensor networks.
One distinguishes a class of pretriangulated DG categories (mathcal {C}_cdot ) for which (H^0(mathcal {C}_cdot )) has a natural triangulated structure.
One distinguishes between heterotelomeric (MVM) and homotelomeric (parvovirus B19) viruses; while heterotelomeric viruses have different terminal sequences, telomeres of homotelomeric sequences consist of inverted terminal repeats [18].
One distinguishes two different types of elections [12]: proportional elections, where candidates become elected in proportion to their party's voting fraction [13] [16], and plurality elections, where only the most voted candidate gets a position [17].
One distinguishes α-defensins (in neutrophils) from β-defensins (in other cells).
One distinguishes erroneous from error-free substrings by counting their number of occurrences in the read set.
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More generally, are different models distinguishable from the data - can one distinguish between different distributions or, given the distribution, to what extent can one distinguish between different parameter combinations?
How should one distinguish the guilty from the innocent?
How does one distinguish a dead bank walking?
How does one distinguish between a grunt and a very deep breath?
How does one distinguish truth from fiction, demagoguery from serious argument?
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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