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Showing 961 - 980 results of 1,805 for search 'significantly ((((teer decrease) OR (larger decrease))) OR (linear decrease))', query time: 0.53s Refine Results
  1. 961

    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. …”
  2. 962

    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. …”
  3. 963

    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. …”
  4. 964

    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. …”
  5. 965

    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. …”
  6. 966

    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. …”
  7. 967

    The percentage of studies that resulted in insect death increased over time. by Craig D. Perl (3326880)

    Published 2025
    “…There was a significant decrease in the proportion of studies reporting just invasive handling (without death) over time (linear regression; t<sub>20,18</sub> = 4.00, p = 0.001, R<sup>2 </sup>= 0.44). …”
  8. 968

    Study sample. by Nipaporn Butsing (19470003)

    Published 2025
    “…One increased National Institute of Health Stroke Scale (NIHSS) score decreased adjusted BI scores by 3.6.</p><p>Conclusion</p><p>The time after discharge, gender, stroke subtype, and stroke severity are significant factors affecting functional outcomes after a stroke. …”
  9. 969

    Comparison of dot gain across paper types and screen frequency. by Xiaoli Liu (165371)

    Published 2025
    “…Dot gain curves for 133 lpi and 175 lpi show a consistent non-linear trend, rising to a maximum in the mid-tone range (40%–60% dot area) before decreasing. …”
  10. 970
  11. 971

    Results for Case Study-II. by Nouman Qamar (21511939)

    Published 2025
    “…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
  12. 972

    Proposed model of energy management for SREH. by Nouman Qamar (21511939)

    Published 2025
    “…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
  13. 973

    Technical features of PV module. by Nouman Qamar (21511939)

    Published 2025
    “…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
  14. 974

    Cooling power of SREH in Case Study-III. by Nouman Qamar (21511939)

    Published 2025
    “…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
  15. 975

    Hourly power generation of solar and wind. by Nouman Qamar (21511939)

    Published 2025
    “…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
  16. 976

    Cooling power of SREH in Case Study-IV. by Nouman Qamar (21511939)

    Published 2025
    “…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
  17. 977

    Technical features of PHEV battery. by Nouman Qamar (21511939)

    Published 2025
    “…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
  18. 978

    Electrical power of SREH in Case Study-III. by Nouman Qamar (21511939)

    Published 2025
    “…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
  19. 979

    Heating power of SREH in Case Study-III. by Nouman Qamar (21511939)

    Published 2025
    “…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
  20. 980

    Conceptual framework of REH under study. by Nouman Qamar (21511939)

    Published 2025
    “…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”