Showing 161 - 180 results of 25,733 for search '(((( air age increased ) OR ( second ((a decrease) OR (we decrease)) ))) OR ( g age increased ))', query time: 2.77s Refine Results
  1. 161
  2. 162
  3. 163
  4. 164
  5. 165
  6. 166
  7. 167
  8. 168
  9. 169
  10. 170
  11. 171

    Given a linear growth trajectory, increasing survival increases optimal maturation age and size. by James E. Breck (8582229)

    Published 2020
    “…<p>As annual survival <i>s</i> increases, the growth curve is unchanged, but the iso-fitness curves become less steep and the age-0 intercepts increase (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0228990#pone.0228990.g008" target="_blank">Fig 8</a>), so optimal age and length increase along the growth curve. …”
  12. 172
  13. 173

    DataSheet_1_The association between outdoor air pollution and body mass index, central obesity, and visceral adiposity index among middle-aged and elderly adults: a nationwide stud... by Wei Pan (701)

    Published 2023
    “…Stratified analyses suggested that elderly participants experienced more adverse effects from all 6 air pollutants than middle-aged participants. Furthermore, notable multiplicative interactions were found between O<sub>3</sub> exposure and females as well as second-hand smokers in BMI-defined obesity.…”
  14. 174

    DataSheet_2_The association between outdoor air pollution and body mass index, central obesity, and visceral adiposity index among middle-aged and elderly adults: a nationwide stud... by Wei Pan (701)

    Published 2023
    “…Stratified analyses suggested that elderly participants experienced more adverse effects from all 6 air pollutants than middle-aged participants. Furthermore, notable multiplicative interactions were found between O<sub>3</sub> exposure and females as well as second-hand smokers in BMI-defined obesity.…”
  15. 175
  16. 176
  17. 177

    Descriptive statistics by quarter of the year. by John Brandt (6880463)

    Published 2024
    “…Using a linear fixed effects model, we find that a 1-standard deviation increase in ozone concentration (20.97 μg/m<sup>3</sup>) is associated with 3.9 percent decrease in consumer spending (95% CI: -0.066, -0.012; p<0.01). …”
  18. 178

    Descriptive statistics for the study area. by John Brandt (6880463)

    Published 2024
    “…Using a linear fixed effects model, we find that a 1-standard deviation increase in ozone concentration (20.97 μg/m<sup>3</sup>) is associated with 3.9 percent decrease in consumer spending (95% CI: -0.066, -0.012; p<0.01). …”
  19. 179
  20. 180