Showing 1 - 20 results of 32 for search '(( significantly ((a decrease) OR (greatest decrease)) ) OR ( significantly mitigated decrease ))~', query time: 0.57s Refine Results
  1. 1

    Data_GDP/ Ndvi. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  2. 2

    Flow chart of the study. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  3. 3

    Example of manual identification. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  4. 4

    Data_soil. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  5. 5

    Data_road. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  6. 6

    Excel_ESs and transfer matrix. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  7. 7

    Data sources and descriptions. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  8. 8

    Coupling coordination types. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  9. 9

    Results_urban-fringe-rural. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  10. 10

    Table 1_Global, regional, and national burden of atrial fibrillation/flutter attributable to metabolic, behavioral, and environmental risk factors, 1990–2021: a longitudinal observ... by Zhen Wei (203204)

    Published 2025
    “…Smoking showed the greatest decrease, with AAPCs of ASMR and ASDR at −0.66 (95% CI: −0.68 to −0.65) and −0.72 (95% CI: −0.72 to −0.71), most significantly in women aged 30–34. …”
  11. 11

    Table 4_Global burden of low back pain and its attributable risk factors from 1990 to 2021: a comprehensive analysis from the global burden of disease study 2021.docx by Yue Li (102191)

    Published 2024
    “…The LBP burden varied by the sociodemographic index quintile and GBD region, with the highest ASIR and ASDALYsR observed in Central Europe and the greatest decrease in East Asia. Globally, women bear a higher burden of LBP than men, with middle-aged populations experiencing the heaviest burden. …”
  12. 12

    Table 1_Global burden of low back pain and its attributable risk factors from 1990 to 2021: a comprehensive analysis from the global burden of disease study 2021.docx by Yue Li (102191)

    Published 2024
    “…The LBP burden varied by the sociodemographic index quintile and GBD region, with the highest ASIR and ASDALYsR observed in Central Europe and the greatest decrease in East Asia. Globally, women bear a higher burden of LBP than men, with middle-aged populations experiencing the heaviest burden. …”
  13. 13

    Table 3_Global burden of low back pain and its attributable risk factors from 1990 to 2021: a comprehensive analysis from the global burden of disease study 2021.docx by Yue Li (102191)

    Published 2024
    “…The LBP burden varied by the sociodemographic index quintile and GBD region, with the highest ASIR and ASDALYsR observed in Central Europe and the greatest decrease in East Asia. Globally, women bear a higher burden of LBP than men, with middle-aged populations experiencing the heaviest burden. …”
  14. 14

    Table 2_Global burden of low back pain and its attributable risk factors from 1990 to 2021: a comprehensive analysis from the global burden of disease study 2021.docx by Yue Li (102191)

    Published 2024
    “…The LBP burden varied by the sociodemographic index quintile and GBD region, with the highest ASIR and ASDALYsR observed in Central Europe and the greatest decrease in East Asia. Globally, women bear a higher burden of LBP than men, with middle-aged populations experiencing the heaviest burden. …”
  15. 15

    Data_Sheet_1_Effects of COVID-19-targeted non-pharmaceutical interventions on pediatric hospital admissions in North Italian hospitals, 2017 to 2022: a quasi-experimental study int... by Giuseppe Maglietta (12992976)

    Published 2024
    “…The greatest reduction was recorded for “Respiratory Diseases,” whereas the “Mental Disorders” category exhibited a significant increase during mitigation measures. …”
  16. 16

    Data_Sheet_1_Effects of COVID-19-targeted non-pharmaceutical interventions on pediatric hospital admissions in North Italian hospitals, 2017 to 2022: a quasi-experimental study int... by Giuseppe Maglietta (12992976)

    Published 2024
    “…The greatest reduction was recorded for “Respiratory Diseases,” whereas the “Mental Disorders” category exhibited a significant increase during mitigation measures. …”
  17. 17

    Data declaration. by Mengting Jin (1888933)

    Published 2025
    “…By 2035, cropland, forest, water, and construction land areas are expected to increase, while grassland and unused land areas are projected to decrease. Under the ecological protection scenario, cropland, forest land, and grassland—major main contributors to carbon storage—will be effectively conserved to some extent. (2) From 2000 to 2020, Xinjiang’s carbon storage capacity exhibited an overall increasing trend, with a cumulative increase of 137.515×10<sup>5</sup> t and a growth rate of 1.58%. …”
  18. 18

    Land transfer parameters. by Mengting Jin (1888933)

    Published 2025
    “…By 2035, cropland, forest, water, and construction land areas are expected to increase, while grassland and unused land areas are projected to decrease. Under the ecological protection scenario, cropland, forest land, and grassland—major main contributors to carbon storage—will be effectively conserved to some extent. (2) From 2000 to 2020, Xinjiang’s carbon storage capacity exhibited an overall increasing trend, with a cumulative increase of 137.515×10<sup>5</sup> t and a growth rate of 1.58%. …”
  19. 19

    Technology roadmap. by Mengting Jin (1888933)

    Published 2025
    “…By 2035, cropland, forest, water, and construction land areas are expected to increase, while grassland and unused land areas are projected to decrease. Under the ecological protection scenario, cropland, forest land, and grassland—major main contributors to carbon storage—will be effectively conserved to some extent. (2) From 2000 to 2020, Xinjiang’s carbon storage capacity exhibited an overall increasing trend, with a cumulative increase of 137.515×10<sup>5</sup> t and a growth rate of 1.58%. …”
  20. 20

    Local details of carbon storage. by Mengting Jin (1888933)

    Published 2025
    “…By 2035, cropland, forest, water, and construction land areas are expected to increase, while grassland and unused land areas are projected to decrease. Under the ecological protection scenario, cropland, forest land, and grassland—major main contributors to carbon storage—will be effectively conserved to some extent. (2) From 2000 to 2020, Xinjiang’s carbon storage capacity exhibited an overall increasing trend, with a cumulative increase of 137.515×10<sup>5</sup> t and a growth rate of 1.58%. …”