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The results from the open scenario are much higher than expected and the possible reasons for this ambiguity are discussed.
But, more importantly, the underlying reason for this ambiguity is due to the shift in meaning that was taking place during the seventeenth century.
One explanation for this ambiguity may be that there is only scarce empirical evidence on the structure of the German hospital market, because none of the available datasets contains a unique identifier for the owner of the individual hospitals.
Since both ANN types have been proclaimed superior by different investigations even for the same benchmark problems, we shall first show that the main reason for this ambiguity lies in the static and rather poor comparison methodologies applied in most earlier works.
The main challenges of analysing InSAR data include solving for this ambiguity and identifying or correcting the contributions that other factors, such as variations in satellite position or atmospheric composition, make to phase (InSAR methods are reviewed by Simons & Rosen, 2007).
The evolving definition of BE with the inclusion of short-segment and ultra-short segment BE has been one of the causes for this ambiguity.
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The consequence of this ambiguity for what used to be called "high politics" has been dire.
We thank the reviewer for pointing out this ambiguity and have clarified the conditions used in the Materials and methods section.
To compound this ambiguity for the general practitioner, it is well known that patients often have concerns about side effects, which are muscle pains for statin treatment although these are reported to be infrequent[ 18] and other concerns about taking medication, such as preference for a more 'natural' approach or that it disrupts their personal or social life[ 19].
One reason for this lingering ambiguity is the difficulty experienced by observers in precisely identifying the target of these animals' gazes in the context of natural or semi-natural habitats (e.g., [11]).
This ambiguity has, for example, altered the discourse surrounding the issue of collateral damage.
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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