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All of the dictionaries agree most strongly in 2012, all finding a lot of negative language and swearing that brings scores down (see 2012 word shift Figure in Appendix S7).
The other dictionaries with more coverage find a decrease in positive words to balance this increase, with the exception of MPQA which finds many negative words going up in frequency (see 2010 word shift Figure in Appendix S7).
We analyze the words in 2014 with a word shift against all 7 years of Tweets for each sentiment dictionary in each panel in the 2014 word shift Figure in Appendix S7: A. labMT scores 2014 as less happy with more negative language.
The figure in appendix was not included.
(The figure in appendix II in the supplementary file shows a simplified flow chart of study activity and interventions according to group randomisation, including the initial phase of clinical profiling of all participants who entered the run-in phase of the study, and the two study arms after randomisation).
Median baseline quantitative viral loads were similar between the two arms for nose (9.6×10e4 copies in the double dose (n=99) and 1.5×10e5 copies in the standard dose arm (n=96)) and throat (4.1×10e4 copies in the double dose (n=85) and 6.3×10e4 copies in the standard dose arm (n=95); see supplementary figure in appendix).
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In Sect. 5 I present the main results, which are complemented by some figures in "Appendix B".
Figures in Appendix "Examples of activity intensity charts categorized by students' performance level" section displays 3 other cycles.
Unlike figures 1, 2, and 3, the figures in Appendix 2 use the same scale for each cause of death.
Figures in appendix II in the supplementary file show the (complex) pattern of prescribing in the usual care group and the composite treatment groups comprising the intervention group.
Finally, we provide four figures in Appendix depicting the spatial distribution of PSPs (Fig. 2), PGPs (Fig. 3), CSPs (Fig. 4) and CGPs (Fig. 5), where the borders represent the districts as our observational units (all entries in the figures relate to 2005).
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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