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This analysis features findings about consumer trends in mobile phone brands from October-December 2013. October-December 2013
This analysis features findings about consumer trends in mobile phone activations from July-September 2014. July-September 2014
This analysis features findings about consumer trends in mobile phone operating systems from October-December 2013. October-December 2013
This analysis features findings about consumer trends in mobile phone operating systems from January-March 2014. January-March 2014
This analysis features findings about market share trends in mobile phone operating systems in the US from January-March 2015. January-March 2015
This analysis features findings about consumer trends in mobile phone operating systems in the US from July-September 2014. July-September 2014
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This bias is probably not large, since all foci in this analysis featured relatively low prevalence (<2 3%), suggesting incidence may have been rising slowly.
This analysis featured means from various studies that were converted to Z-scores to place them on a common scale of measurement for comparison and to help assess the possibility that an effect might have been statistically significant.
In addition, only CO-led evaluations exist in sufficient regional and thematic diversity to permit the analysis featured in this report.
The CoryneCenter system presented in this article integrates data and analysis features of three different types: 1.
This analysis produced features from shape descriptors which are later used in machine learning and classification.
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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