Showing 5,581 - 5,600 results of 18,660 for search 'significantly ((((((nn decrease) OR (a decrease))) OR (mean decrease))) OR (observed decrease))', query time: 0.63s Refine Results
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    Characteristics of Study Participants. by Alix Boisson-Walsh (17847176)

    Published 2025
    “…We observed statistically significant declines across all five vaccine confidence domains when comparing responses before and during the pandemic (<i>p</i> < 0.01): vaccines prevent diseases (85.4%-68.3%), are safe (80.5%-46.3%), important for a child’s health (92.7%-87.8%) and one’s own health (87.8%-68.3%), and new vaccines carry no more risk than routine vaccines (78.1%-63.5%). …”
  13. 5593

    Analyses of directed phase lag index (dPLI [44]) for excitatory/inhibitory (E/I) ratios with respect to pyramidal (Pyr) and parvalbumin (PV) populations (<i>A</i>) and Pyr and soma... by Nobuhiko Wagatsuma (494052)

    Published 2025
    “…<p>Black circles and gray pentagons represent the mean values of dPLI from PV to Pyr and from SOM to Pyr populations, respectively. …”
  14. 5594

    SlABCG9 Functioning as a Jasmonic Acid Transporter Influences Tomato Resistance to Botrytis cinerea by Ning Tao (109880)

    Published 2025
    “…Assays using Xenopus oocytes, yeast cell sensitivity, and JA-inhibited primary root growth confirmed that SlABCG9 functions as a JA influx transporter. The knockout mutant lines of <i>SlABCG9</i> showed decreased JA contents, suppressed defense gene <i>PDF1.2</i>’s expression, reduced antioxidant enzyme activity, and severe disease symptoms compared to wild-type controls. …”
  15. 5595

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

    Published 2025
    “…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
  16. 5596

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

    Published 2025
    “…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
  17. 5597

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

    Published 2025
    “…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
  18. 5598

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

    Published 2025
    “…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
  19. 5599

    Comparison of experimental results at ablation. by Zhongjian Xie (4633099)

    Published 2025
    “…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
  20. 5600

    Result of comparison of different lightweight. by Zhongjian Xie (4633099)

    Published 2025
    “…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”