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Theorem 1 The data volume indicator and completeness indicator are not completely correlated.
In this way, ( {q}_voverset{sim }{prec } {q}_c ) ■. Theorem 2 The data volume indicator and time correlation indicator are not completely correlated.
In conclusion, there is not a complete correlation between data volume indicator and correctness indicator, which can be described as ( {q}_voverset{sim }{prec }{q}_t ) ■. Theorem 3 The data volume indicator and the correctness indicator are not completely correlated.
The discussions of the process for developing each indicator are not highly detailed.
As mentioned above, the interaction effects of age and gender were not statistically significant for life satisfaction; therefore the results for this indicator are not presented in Models 3 and 4. Participation in OLTA was associated with enhanced physical and mental health among all adolescents independently of the type of OLTA.
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Still, information on mortality for ethnic groups, an important population health indicator, is not routinely collected.
Moreover, the Halloween Indicator is not a modern phenomenon: It has been present in Britain, for example, since 1694.
And the five-day January indicator is not as strong as it looks when one considers that the market goes up in most years.
This indicator is not signaling recession but slowed growth.
However, the indicator is not more than a formal instrument.
Job growth, the final and most important indicator, is not as cheerful, however.
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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