Showing 3,541 - 3,560 results of 9,629 for search 'significantly ((((((lower decrease) OR (linear decrease))) OR (we decrease))) OR (larger decrease))', query time: 0.69s Refine Results
  1. 3541

    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. …”
  2. 3542

    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. …”
  3. 3543

    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. …”
  4. 3544

    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. …”
  5. 3545

    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. …”
  6. 3546

    Energy hub architecture. 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. …”
  7. 3547

    Electricity and gas prices. 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. …”
  8. 3548

    Technical features of central devices. 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. …”
  9. 3549

    Results for Case Study-I. 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. …”
  10. 3550

    Technical features of wind turbine. 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. …”
  11. 3551

    Heating 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. …”
  12. 3552

    Electrical 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. …”
  13. 3553

    Participant interview topics. by Lex D. de Jong (22138778)

    Published 2025
    “…Outcomes were evaluated with a multilevel linear regression analysis at baseline, 2 weeks, 3 months and 6 months. …”
  14. 3554

    The participants’ baseline characteristics. by Lex D. de Jong (22138778)

    Published 2025
    “…Outcomes were evaluated with a multilevel linear regression analysis at baseline, 2 weeks, 3 months and 6 months. …”
  15. 3555

    Alignment of the Taxane binding pocket sequences. by Jacopo Zattoni (21702634)

    Published 2025
    “…The results were analyzed using a consensus method to increase their reliability. We found that the amoeba’s mitotic tubulins show a significant number of changes that are expected to decrease their affinity for tubulin-targeting compounds. …”
  16. 3556

    Rank of mutation fitness. by Zhong-yi Lei (22552944)

    Published 2025
    “…Retrospective validation demonstrated that CoVPF achieved 20.7% higher accuracy compared to previous study. Furthermore, we found that accounting for epistasis was critical, as ignoring epistasis led to a 43% decrease in forecasting accuracy. …”
  17. 3557

    Description of the variables and data sources. by Borin Keo (20615176)

    Published 2025
    “…Using a micro-founded measure of trade costs derived from the gravity model, we find that Cambodia’s average trade costs decreased by 35.43 percent between 1993 and 2019. …”
  18. 3558

    Descriptive statistics of the variables. by Borin Keo (20615176)

    Published 2025
    “…Using a micro-founded measure of trade costs derived from the gravity model, we find that Cambodia’s average trade costs decreased by 35.43 percent between 1993 and 2019. …”
  19. 3559

    Eq 13. by Borin Keo (20615176)

    Published 2025
    “…Using a micro-founded measure of trade costs derived from the gravity model, we find that Cambodia’s average trade costs decreased by 35.43 percent between 1993 and 2019. …”
  20. 3560

    Key modeling details for CoVPF and controls. by Zhong-yi Lei (22552944)

    Published 2025
    “…Retrospective validation demonstrated that CoVPF achieved 20.7% higher accuracy compared to previous study. Furthermore, we found that accounting for epistasis was critical, as ignoring epistasis led to a 43% decrease in forecasting accuracy. …”