Showing 2,941 - 2,960 results of 5,556 for search '(( significantly vary decrease ) OR ( significantly impact decrease ))', query time: 0.44s Refine Results
  1. 2941

    Interaction effect on average number of N-PTUs. by Fuxiang Wang (8316573)

    Published 2025
    “…However, ST translation difficulty significantly influenced TU processing. For the more difficult text, the APTU size decreased notably, the number of 1–6-word PTUs increased substantially, and the frequency of ≥ 7-word PTUs remained relatively stable. …”
  2. 2942

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

    Published 2025
    “…In 1999, California introduced changes to its clean water program that modified each of these components, and in the present work we explore the impact of these changes using a mixed-methods approach. …”
  3. 2943

    The samples in some studies. by Fuxiang Wang (8316573)

    Published 2025
    “…However, ST translation difficulty significantly influenced TU processing. For the more difficult text, the APTU size decreased notably, the number of 1–6-word PTUs increased substantially, and the frequency of ≥ 7-word PTUs remained relatively stable. …”
  4. 2944

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

    Published 2025
    “…In 1999, California introduced changes to its clean water program that modified each of these components, and in the present work we explore the impact of these changes using a mixed-methods approach. …”
  5. 2945

    Interaction effect on overall average of TUs. by Fuxiang Wang (8316573)

    Published 2025
    “…However, ST translation difficulty significantly influenced TU processing. For the more difficult text, the APTU size decreased notably, the number of 1–6-word PTUs increased substantially, and the frequency of ≥ 7-word PTUs remained relatively stable. …”
  6. 2946

    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. …”
  7. 2947

    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. …”
  8. 2948

    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. …”
  9. 2949

    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. …”
  10. 2950

    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. …”
  11. 2951

    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. …”
  12. 2952

    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. …”
  13. 2953

    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. …”
  14. 2954

    Cross-sectional dependence results. by Ozlem Kutlu Furtuna (20308206)

    Published 2024
    “…This study aims to shed light on the impact of FDI on environmental degradation in the countries with the highest carbon dioxide (CO<sub>2</sub>) emissions, taking into account 513 country-years between the years 1996 and 2022. …”
  15. 2955

    Autocorrelation test results. by Ozlem Kutlu Furtuna (20308206)

    Published 2024
    “…This study aims to shed light on the impact of FDI on environmental degradation in the countries with the highest carbon dioxide (CO<sub>2</sub>) emissions, taking into account 513 country-years between the years 1996 and 2022. …”
  16. 2956

    Pesaran’s CADF test results for Model I. by Ozlem Kutlu Furtuna (20308206)

    Published 2024
    “…This study aims to shed light on the impact of FDI on environmental degradation in the countries with the highest carbon dioxide (CO<sub>2</sub>) emissions, taking into account 513 country-years between the years 1996 and 2022. …”
  17. 2957

    Descriptive statistics of related variables. by Ozlem Kutlu Furtuna (20308206)

    Published 2024
    “…This study aims to shed light on the impact of FDI on environmental degradation in the countries with the highest carbon dioxide (CO<sub>2</sub>) emissions, taking into account 513 country-years between the years 1996 and 2022. …”
  18. 2958

    Support. by Yulu Dai (21387734)

    Published 2025
    “…In this approach, the mobility of EVs is prioritized before decreasing the impact of EVs operation on normal traffic. …”
  19. 2959

    Indices and parameters. by Yulu Dai (21387734)

    Published 2025
    “…In this approach, the mobility of EVs is prioritized before decreasing the impact of EVs operation on normal traffic. …”
  20. 2960

    Illustration of model predictive control. by Yulu Dai (21387734)

    Published 2025
    “…In this approach, the mobility of EVs is prioritized before decreasing the impact of EVs operation on normal traffic. …”