Showing 61 - 80 results of 387 for search '(( significant use decreased ) OR ( significantly ((greater decrease) OR (mean decrease)) ))~', query time: 0.77s Refine Results
  1. 61

    LM test of spatial panel model. by Li-Min Wang (783263)

    Published 2024
    “…We also analyzed the spatial distribution of ozone driving factors using the GTWR. The results show that: i) The average annual increase of ozone concentration in ambient air in China from 2015 to 2019 was 1.68<i>μg/m</i><sup><i>3</i></sup>, and 8.39<i>μg/m</i><sup><i>3</i></sup> elevated the year 2019 compared with 2015. ii) The Moran’s I value of ozone in ambient air was 0.027 in 2015 and 0.209 in 2019, showing the spatial distribution characteristics of "east heavy and west light" and "south low and north high". iii) Per capita GDP industrial structure, population density, land expansion, and urbanization rate have significant spillover effects on ozone concentration, and the regional spillover effect is greater than the local effect. …”
  2. 62

    Descriptive statistics (2015–2019). by Li-Min Wang (783263)

    Published 2024
    “…We also analyzed the spatial distribution of ozone driving factors using the GTWR. The results show that: i) The average annual increase of ozone concentration in ambient air in China from 2015 to 2019 was 1.68<i>μg/m</i><sup><i>3</i></sup>, and 8.39<i>μg/m</i><sup><i>3</i></sup> elevated the year 2019 compared with 2015. ii) The Moran’s I value of ozone in ambient air was 0.027 in 2015 and 0.209 in 2019, showing the spatial distribution characteristics of "east heavy and west light" and "south low and north high". iii) Per capita GDP industrial structure, population density, land expansion, and urbanization rate have significant spillover effects on ozone concentration, and the regional spillover effect is greater than the local effect. …”
  3. 63

    Spatial error model under nested matrix. by Li-Min Wang (783263)

    Published 2024
    “…We also analyzed the spatial distribution of ozone driving factors using the GTWR. The results show that: i) The average annual increase of ozone concentration in ambient air in China from 2015 to 2019 was 1.68<i>μg/m</i><sup><i>3</i></sup>, and 8.39<i>μg/m</i><sup><i>3</i></sup> elevated the year 2019 compared with 2015. ii) The Moran’s I value of ozone in ambient air was 0.027 in 2015 and 0.209 in 2019, showing the spatial distribution characteristics of "east heavy and west light" and "south low and north high". iii) Per capita GDP industrial structure, population density, land expansion, and urbanization rate have significant spillover effects on ozone concentration, and the regional spillover effect is greater than the local effect. …”
  4. 64

    S1 Data - by Li-Min Wang (783263)

    Published 2024
    “…We also analyzed the spatial distribution of ozone driving factors using the GTWR. The results show that: i) The average annual increase of ozone concentration in ambient air in China from 2015 to 2019 was 1.68<i>μg/m</i><sup><i>3</i></sup>, and 8.39<i>μg/m</i><sup><i>3</i></sup> elevated the year 2019 compared with 2015. ii) The Moran’s I value of ozone in ambient air was 0.027 in 2015 and 0.209 in 2019, showing the spatial distribution characteristics of "east heavy and west light" and "south low and north high". iii) Per capita GDP industrial structure, population density, land expansion, and urbanization rate have significant spillover effects on ozone concentration, and the regional spillover effect is greater than the local effect. …”
  5. 65

    Flow chart of urbanization ozone pollution. by Li-Min Wang (783263)

    Published 2024
    “…We also analyzed the spatial distribution of ozone driving factors using the GTWR. The results show that: i) The average annual increase of ozone concentration in ambient air in China from 2015 to 2019 was 1.68<i>μg/m</i><sup><i>3</i></sup>, and 8.39<i>μg/m</i><sup><i>3</i></sup> elevated the year 2019 compared with 2015. ii) The Moran’s I value of ozone in ambient air was 0.027 in 2015 and 0.209 in 2019, showing the spatial distribution characteristics of "east heavy and west light" and "south low and north high". iii) Per capita GDP industrial structure, population density, land expansion, and urbanization rate have significant spillover effects on ozone concentration, and the regional spillover effect is greater than the local effect. …”
  6. 66

    S1 Data - by Parveen Kumar (428921)

    Published 2024
    “…However, Transforming growth factor (TGF-β) and Interleukin-10 (IL-10) levels were significantly decreased in IC/BPS patients compared to HS. …”
  7. 67

    Demographics and characteristics of study cohort. by Parveen Kumar (428921)

    Published 2024
    “…However, Transforming growth factor (TGF-β) and Interleukin-10 (IL-10) levels were significantly decreased in IC/BPS patients compared to HS. …”
  8. 68
  9. 69
  10. 70
  11. 71
  12. 72
  13. 73
  14. 74

    Results of the LMM analysis for IOP change. by Sayaka Kimura-Uchida (22793666)

    Published 2025
    “…The mean GMS was 2.46 ± 1.33 preoperatively, and decreased to 1.32 ± 1.31 at 3 months, and 1.60 ± 1.41 at 12 months postoperatively. …”
  15. 75

    Results of the LMM analysis for GMS change. by Sayaka Kimura-Uchida (22793666)

    Published 2025
    “…The mean GMS was 2.46 ± 1.33 preoperatively, and decreased to 1.32 ± 1.31 at 3 months, and 1.60 ± 1.41 at 12 months postoperatively. …”
  16. 76
  17. 77
  18. 78
  19. 79
  20. 80