Showing 17,761 - 17,780 results of 58,681 for search '(( 50 ((((we decrease) OR (a decrease))) OR (nn decrease)) ) OR ( a mean decrease ))', query time: 1.09s Refine Results
  1. 17761

    Data collection for simulation modeling. by Ekkarat Meephu (15307058)

    Published 2023
    “…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”
  2. 17762

    Waiting time results. by Ekkarat Meephu (15307058)

    Published 2023
    “…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”
  3. 17763

    Schedule of internal arrival times. by Ekkarat Meephu (15307058)

    Published 2023
    “…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”
  4. 17764

    Conditions for the simulation model. by Ekkarat Meephu (15307058)

    Published 2023
    “…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”
  5. 17765

    Simulation scenarios. by Ekkarat Meephu (15307058)

    Published 2023
    “…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”
  6. 17766

    Model code and scenarios. by Ekkarat Meephu (15307058)

    Published 2023
    “…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”
  7. 17767
  8. 17768

    Effect of 2% HQ, 0.05% INN and 0.1% TAC on hippocampal 5-HT level and 5-HT<sub>1A /1B</sub> receptor expression. by Huali Wu (349567)

    Published 2016
    “…Each bar represents mean ± SEM (n = 6). (B) The 5-HT<sub>1A</sub> receptor in the CA1 region was detected by immunohistochemistry. …”
  9. 17769
  10. 17770
  11. 17771
  12. 17772
  13. 17773
  14. 17774
  15. 17775
  16. 17776
  17. 17777
  18. 17778

    One-way ANOVA analysis of waiting time. by Ekkarat Meephu (15307058)

    Published 2023
    “…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”
  19. 17779

    Image_1_Versatile Role of Rab27a in Glioma: Effects on Release of Extracellular Vesicles, Cell Viability, and Tumor Progression.PDF by Thomas S. van Solinge (9637007)

    Published 2020
    “…As interference in Rab27a expression influences glioma cell viability and expression profiles, future studies should be cautious in using the knockdown of Rab27a as a means of studying the role of small EVs in glioma growth.…”
  20. 17780

    Data_Sheet_1_Versatile Role of Rab27a in Glioma: Effects on Release of Extracellular Vesicles, Cell Viability, and Tumor Progression.PDF by Thomas S. van Solinge (9637007)

    Published 2020
    “…As interference in Rab27a expression influences glioma cell viability and expression profiles, future studies should be cautious in using the knockdown of Rab27a as a means of studying the role of small EVs in glioma growth.…”