Showing 1,001 - 1,020 results of 1,850 for search '(( significantly ((linear decrease) OR (largest decrease)) ) OR ( significantly smaller decrease ))', query time: 0.54s Refine Results
  1. 1001

    Predicted behavioural expression of young (orange) and old (blue) individuals that do (treatment) or do not (control) receive an immune challenge. by Antoine Bour (20489426)

    Published 2024
    “…<p>(a) If an immune challenge causes sickness behaviour then we expect that young and old immune-challenged individuals will decrease their population-level average behavioural expression compared with controls with old individuals decreasing their behavioural expression more than young individuals. …”
  2. 1002

    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. …”
  3. 1003

    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. …”
  4. 1004
  5. 1005

    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. …”
  6. 1006

    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. …”
  7. 1007

    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. …”
  8. 1008

    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. …”
  9. 1009

    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. …”
  10. 1010

    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. …”
  11. 1011

    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. …”
  12. 1012

    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. …”
  13. 1013

    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. …”
  14. 1014

    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. …”
  15. 1015

    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. …”
  16. 1016

    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. …”
  17. 1017

    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. …”
  18. 1018

    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. …”
  19. 1019

    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. …”
  20. 1020

    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. …”