يعرض 1,661 - 1,680 نتائج من 18,297 نتيجة بحث عن 'significant ((((((gap decrease) OR (a decrease))) OR (nn decrease))) OR (mean decrease))', وقت الاستعلام: 0.71s تنقيح النتائج
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    Statins resulted in smaller neuronal soma size. حسب Shuk C. Tsoi (21192243)

    منشور في 2025
    "…Within control birds, the BrdU + /Hu+ neuron population was significantly smaller in soma size than the BrdU-/Hu+ older, heterogeneous population (A). …"
  16. 1676

    Experimental Investigation of the Impact of Mixed Wettability on Pore-Scale Fluid Displacement: A Microfluidic Study حسب Abdullah AlOmier (20402765)

    منشور في 2024
    "…Despite its common occurrence, the impact of mixed wettability on immiscible fluid displacement at the pore scale remains poorly understood, creating a gap in effective modeling and prediction of fluid behavior in porous media. …"
  17. 1677

    Experimental Investigation of the Impact of Mixed Wettability on Pore-Scale Fluid Displacement: A Microfluidic Study حسب Abdullah AlOmier (20402765)

    منشور في 2024
    "…Despite its common occurrence, the impact of mixed wettability on immiscible fluid displacement at the pore scale remains poorly understood, creating a gap in effective modeling and prediction of fluid behavior in porous media. …"
  18. 1678

    The technical route of the study. حسب Hongliang Zou (20707270)

    منشور في 2025
    "…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …"
  19. 1679

    Point cloud fusion instance effect. حسب Hongliang Zou (20707270)

    منشور في 2025
    "…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …"
  20. 1680

    Experimental results in the SubT-MRS dataset. حسب Hongliang Zou (20707270)

    منشور في 2025
    "…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …"