يعرض 121 - 140 نتائج من 79,869 نتيجة بحث عن '(( significant challenge posed ) OR ( significant ((nn decrease) OR (a decrease)) ))', وقت الاستعلام: 2.16s تنقيح النتائج
  1. 121

    Synaptopathy at IHC-SGN synapses decreases the peak of the CAP significantly, without changes to peak latency and width. حسب Maral Budak (6680351)

    منشور في 2021
    "…<p>(A) Sound-evoked CAPs of SGN fiber populations with different synaptopathy scenarios at 70dB SPL, averaged over 50 simulations. …"
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    Podocyte specific KO of FcRn results in a significant decrease in albuminuria, glomerulosclerosis, and glomerular crescents after nephrotoxic serum nephritis induction. حسب James F. Dylewski (9922380)

    منشور في 2020
    "…Podocyte-specific KO of FcRn results in a significant decrease in the number of crescents (p = 0.0007).…"
  5. 125

    Podocyte specific KO of FcRn results in a significant decrease in glomerular crescents 8 days after anti-GBM disease induction. حسب James F. Dylewski (9922380)

    منشور في 2020
    "…Podocyte-specific KO of FcRn results in a significant decrease in the number of crescents (a, p = 0.035).…"
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    Temporal profiles of the key BO-NN features. حسب Julia Berezutskaya (9080269)

    منشور في 2020
    "…Right plot show the gradual decrease in the TM tuning for the features highlighted in <b>c</b> as well as the gradual increase in the temporal response profile (i.e. optimal shifts for the prediction of the key BO-NN features using Praat features shown in <b>a</b>). …"
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    TGMF-Pose: Text-guided multi-view 3D pose estimation and fusion network for online sports instruction حسب Xiaohong Qi (22523377)

    منشور في 2025
    "…It consists of three core components that enhance the fine-grained representation of semantic information and the accuracy of depth estimation: (1) The joint feature embedding module models the distances and angles between keypoints in 2D pose estimation. Guided by text-based prompts, it captures subtle geometric differences in limb movements across various sports. (2) The multi-view generator effectively addresses the challenge of limb occlusion by estimating the complete 3D pose of the central frame through querying keypoint features from nearby available frames, guided by textual prompts and geometric constraints. (3) The multi-view fusion module aggregates information from all views to refine features and achieve accurate pose depth estimation.…"