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Using a domain analysis method called feature analysis, we explore the spectrum of features supported by coupling technologies used to build today's production ESMs.
Because of the nature of the distribution of the test scores, in the empirical analysis, we explore the robustness of our results to changes in the specification of these test scores, including directly incorporating the pre-literacy test score (Sect. 4.2.3). 2.
In this current analysis, we explore the potential for workplaces to promote active travel to work.
By employing these results from the regression analysis, we explore the significance of context dependency throughout the compendium.
In the rest of this analysis, we explore the implications of the links between income and productivity through elasticity.
What's more, based on the above analysis, we explore the path coefficients of female and male's various domains which affect the quality of life.
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For this analysis we explored the relationship between SES and BD in a sample of patients who had participated in prior clinical and therapeutic studies.
Using a qualitative approach for data analysis, we explored the barriers for action as well as the trade-offs actors were willing to accept to collaborate with other groups to reach a common vision.
To complement this analysis, we explored the genetic clustering identified by the program STRUCTURE.
In a second analysis, we explored the metamorphosis transcriptomes using expression profiles derived from EST counts.
In this analysis, we explored the relation between longitudinal change and selected biomarkers.
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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