Ai Feedback
Exact(5)
We defined chronic ozone exposure using three indicators: mean concentration during the follow-up period, mean concentration during the ozone season, and proportion of follow-up days with ozone levels > 70 ppb.
Mean changes in oxyhemoglobin concentration were calculated against the mean concentration during a 10-second period for the prestimulus baseline.
Black carbon, a common indicator for traffic, was most strongly enhanced by the bus trips, with a 9-fold increase in the mean concentration during bus periods.
We assessed the risk of hospital admissions associated with chronic ozone exposure using a 1-ppb increase in mean concentration during the defined period.
Because the effects of other risk factors on asthma admissions were similar when using three ozone indicators, to simplify the results Table 2 shows the effects of other risk factors using only the mean concentration during the entire follow-up period as the exposure included in the model.
Similar(55)
In the order of decreasing concentrations, coliforms, E. coli and enterococci were found in the highest mean concentrations during both rainfall and snowmelt generated runoff.
Mean concentrations during these two periods were highly correlated with and closely approximated annual averages from regulatory monitoring network data.
Peak and mean concentrations during the inspiratory flow phase were mean (SD) 173% (22%) or 134%12%2%), respectively, of the preceding end-tidal concentration (Fig. 3a).
We reported results using mean concentrations during the preceding 1 3 days because most associations with BP were observed with exposures during this time period.
Mean concentrations during these two periods were successfully validated against annual averages from regulatory monitoring network data (Henderson et al. 2007; Marshall et al. 2008).
Among the gases, ambient O3 concentrations showed the greatest seasonal differences, with considerably higher mean concentrations during the summer (29.3 ± 13.4 ppb) compared with the fall (16.0 ± 8.1 ppb).
Related(16)
average concentration during
mean loss during
mean error during
mean activity during
mean force during
mean duration during
mean voltage during
mean temperature during
mean lactate during
mean feat during
mean velocity during
mean value during
mean sanitation during
mean glucose during
mean center during
mean amplitude during
Write better and faster with AI suggestions while staying true to your unique style.
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