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Previous studies have developed patient-report measures for exploring QoL [ 6- 10].
Previous studies have developed patient-report measures for exploring HRQL [ 4– 8].
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Amongst others, we apply (i) power law fitting methods by Clauset et al. [5] for explaining the intrinsic statistical properties of recipe and ingredient popularity distributions, (ii) correlation and similarity measures for explaining spatial food preferences and (iii) a stability measures [6] for exploring dynamics of temporal food preferences.
However, conclusions may be drawn tentatively that HT is effective while acknowledging that this project's design may have been ineffective in measuring the effects of HT, as the questionnaire may not have tested the actual effects of the therapy, and objective measures may be inadequate for exploring subjective experiences such as HT.
Here, we provide effective mechanisms for: (i) cataloguing coordination key phrases from electronic communications; (ii) calculation of coordination score based on project scope; (iii) construction of social network matrices using centrality measures; and (iv) approaches for exploring the association between communications network centrality and coordination score.
Many OHQoL measures are available worldwide for exploring the self-perceived status of oral health via surveys and for comparing before and after treatment outcomes via clinical trials, for example [ 2– 6].
Here we introduce the quantitative measure (Modularity density D) for exploring modular organization of networks to the field of biomolecular networks.
Further, our results call for exploring new measures of modularity and network communities that better correspond to functional categorizations.
I found the program itself easy to use and really useful for exploring alternative measures of nestedness The manuscript title answers to the content of the paper.
MEA recordings from neuronal networks in miniaturized hyperbaric measuring chambers provide new access for exploring the neuronal effects of hyperbaric breathing gases.
It is very important for exploring the new measuring technical means and corresponding analysis methods to tap the radio network performance potential fundamentally.
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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