Showing 9,961 - 9,980 results of 21,342 for search '(( significant ((greater decrease) OR (mean decrease)) ) OR ( significant decrease decrease ))', query time: 0.44s Refine Results
  1. 9961

    Summary of data sources. by Xu Tong (8099873)

    Published 2025
    “…The interaction between temperature, precipitation, and other factors significantly influences soil erosion, particularly in spring and summer, where the interaction driving force exceeds 0.75. …”
  2. 9962

    Study area transportation location map. by Xu Tong (8099873)

    Published 2025
    “…The interaction between temperature, precipitation, and other factors significantly influences soil erosion, particularly in spring and summer, where the interaction driving force exceeds 0.75. …”
  3. 9963

    Map of soil erosion trends. by Xu Tong (8099873)

    Published 2025
    “…The interaction between temperature, precipitation, and other factors significantly influences soil erosion, particularly in spring and summer, where the interaction driving force exceeds 0.75. …”
  4. 9964

    Additional within-case comparison information. by Ryan J. Treves (13527735)

    Published 2025
    “…While the state’s introduction of $3,000 mandatory minimum penalties for certain Clean Water Act effluent and reporting violations by permitted wastewater facilities reflected a significant step-up in enforcement, the policy also allowed small communities with financial hardship to redirect penalties toward investments in compliance. …”
  5. 9965

    POTW sample summary. by Ryan J. Treves (13527735)

    Published 2025
    “…While the state’s introduction of $3,000 mandatory minimum penalties for certain Clean Water Act effluent and reporting violations by permitted wastewater facilities reflected a significant step-up in enforcement, the policy also allowed small communities with financial hardship to redirect penalties toward investments in compliance. …”
  6. 9966

    Criteria for assigning values to C and P. by Xu Tong (8099873)

    Published 2025
    “…The interaction between temperature, precipitation, and other factors significantly influences soil erosion, particularly in spring and summer, where the interaction driving force exceeds 0.75. …”
  7. 9967

    Global burden of disease dataset. by Manan Raina (14648477)

    Published 2025
    “…<div><p>Background</p><p>Chronic kidney disease (CKD) poses a significant global health challenge; however, its burden on pediatric populations remains underexplored. …”
  8. 9968

    Balance test results. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  9. 9969

    Mechanism analysis results. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  10. 9970

    Endogenous test results. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  11. 9971

    Heterogeneity analysis results. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  12. 9972

    Robustness test results. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  13. 9973

    Baseline results of the impact of RLM on HWSW. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  14. 9974

    The influencing factors of RLM. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  15. 9975

    Multi-State Redox and Light-Driven Switching of Pseudorotaxanation and Cation Shuttling by Robert Hein (4849108)

    Published 2025
    “…Specifically, the neutral switches can be quantitatively converted between <i>anti-</i> and <i>syn-</i>folded receptor geometries by irradiation, leading to the discovery of a significant increase or decrease in cation binding affinity, which was exploited to shuttle the pseudorotaxane-forming dibenzylammonium guest between the switchable crown ethers of slightly different sizes. …”
  16. 9976

    Variable definitions and basic statistics. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  17. 9977
  18. 9978

    Average and marginal effects of RLM on HWSW. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  19. 9979

    Electric load forecast. by Jingjing Ma (419752)

    Published 2025
    “…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. This research substantiates the viability and innovative nature of the proposed model, underscoring its potential for scalable application within industrial and urban energy networks.…”
  20. 9980

    Gas load forecast. by Jingjing Ma (419752)

    Published 2025
    “…Additionally, it results in a 7.8% reduction in overall costs and a 30.2% decrease in carbon emissions. This research substantiates the viability and innovative nature of the proposed model, underscoring its potential for scalable application within industrial and urban energy networks.…”