Showing 2,301 - 2,320 results of 8,903 for search 'significant ((((step decrease) OR (((we decrease) OR (nn decrease))))) OR (mean decrease))', query time: 0.49s Refine Results
  1. 2301

    Changes in outcomes over time. by Jae-Heung Cho (798319)

    Published 2025
    “…<div><p>The effectiveness and cost-effectiveness of <i>Chuna</i> manual therapy (CMT) for temporomandibular joint disorders (TMD) remain unclear. Here, we compared the effectiveness of CMT and usual care for treating myofascial TMD. …”
  2. 2302

    Study timetable. by Jae-Heung Cho (798319)

    Published 2025
    “…<div><p>The effectiveness and cost-effectiveness of <i>Chuna</i> manual therapy (CMT) for temporomandibular joint disorders (TMD) remain unclear. Here, we compared the effectiveness of CMT and usual care for treating myofascial TMD. …”
  3. 2303

    Cumulative incidence curves of recovery by group. by Jae-Heung Cho (798319)

    Published 2025
    “…<div><p>The effectiveness and cost-effectiveness of <i>Chuna</i> manual therapy (CMT) for temporomandibular joint disorders (TMD) remain unclear. Here, we compared the effectiveness of CMT and usual care for treating myofascial TMD. …”
  4. 2304

    Primer sequences used for RT-PCR. by Jingjing Chen (293564)

    Published 2025
    “…Notably, SIRT1 levels decrease with age in both mice and during cellular senescence, highlighting its significance in anti-aging processes. …”
  5. 2305

    Antibody reagent list. by Helena Saura Martinez (22305113)

    Published 2025
    “…In <i><i>T. bryosalmonae</i></i> exposed animals, parasite concentration increased significantly over time. Moreover, a proportional increase in IgM<sup>+</sup> B cells and a proportional decrease in myeloid cells over time was observed. …”
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    Statins resulted in smaller neuronal soma size. by Shuk C. Tsoi (21192243)

    Published 2025
    “…Within control birds, the BrdU + /Hu+ neuron population was significantly smaller in soma size than the BrdU-/Hu+ older, heterogeneous population (A). …”
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  17. 2317

    The overall framework of CARAFE. by Zhongjian Xie (4633099)

    Published 2025
    “…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
  18. 2318

    KPD-YOLOv7-GD network structure diagram. by Zhongjian Xie (4633099)

    Published 2025
    “…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
  19. 2319

    Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

    Published 2025
    “…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
  20. 2320

    Comparison of different pruning rates. by Zhongjian Xie (4633099)

    Published 2025
    “…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”