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In summary, based on the ratings on HQ-MQ disthection (the "Results and discussion 2" section) and usability in a real test (the "Results and discussion 2" section), it is clear that the HQs are better than the MQs.
Group III are combined exposures where there is a low concern for individual chemicals but there is a concern for the combined effects (all HQs are less than one but the HI is greater than 1).
The risk assessments of a mixture of chemicals, the individual HQs are summed to form hazard index (HI): {text{Hazard index }}left( {{text{HI}}_{text{i}} } right), = mathop sum nolimits {text{HQ}}_{text{i}} (8).
Dividing the question items into "good" and "bad" ones in the middle of the scale (3), we have only 16 18 out of 25 (64 72%) good MQs, while all HQs are good.
Midwest metropolises like Minneapolis and Milwaukee (read: big box HQs) are increasingly piquing the interest of big festivals due to their large concentration of working millennials.
These HQs are then added together to calculate the HI for the whole mixture.
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The HQs were calculated for both a best-case and worst-case scenario (Equations 1 and 2).
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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