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I have written several times before about how measures of social and economic well-being in the United States have slipped compared to other advanced countries.
The results of this survey revealed that college students have fundamental misconceptions about how measures of variance within a distribution relate to the concept of statistical significance.
Although CRC is one of the best described cancers in terms of genetic and epigenetic events involved [2] [5], little is known about how measures of anthropometry and physical activity are associated with different molecular subsets of this disease.
In the absence of information about how measures compare, choice of outcome measure may be overly influenced by practical concerns or habit.
Introducing appraisal parameters in QOL validity studies makes it possible to frame a priori questions about how measures ought to behave and to develop stronger and more consistent evidence about construct validity [ 3].
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This contrast raised our curiosity about how measured outcomes related to the mechanism and timeline of DT's impact; during this inquiry, we noted that research on DT has not been systematically reviewed.
No decision has been taken about how many measures the UK will opt back into.
Opinions differ also about how deflationary measures work to improve the external balance.
The main objective of this contribution is to develop information about how entropy measures of linguistic terms can be designed.
Hence, in this paper, we are going to fill in this gap by developing information about how entropy measures of HFLTSs can be designed.
I have no doubt conspiracy theorists will come up with some ridiculous claims about how these measures are an infringement of freedom.
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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