Showing 20,001 - 20,020 results of 36,050 for search '(( significant ((cause decrease) OR (levels increased)) ) OR ( significant decrease decrease ))', query time: 0.67s Refine Results
  1. 20001

    Result of comparison of different lightweight. 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. …”
  2. 20002

    DyHead Structure. 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. …”
  3. 20003

    The parameters of the training phase. 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. …”
  4. 20004

    Structure of GSConv network. 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. …”
  5. 20005

    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. …”
  6. 20006

    Improved model distillation structure. 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. …”
  7. 20007
  8. 20008

    Surgical changes through ISIW implantation. by Sayaka Kimura-Uchida (22793666)

    Published 2025
    “…Pre- and postoperative data are compared by Tukey’s HSD test and asterisks mean statistical significance (p < 0.05). IOP decreases significantly from 3 to 12 months after surgery whereas GMS decreases from one day to 12 months after surgery. …”
  9. 20009

    Functional and strength parameters. by Susanne S. Rauh (21192252)

    Published 2025
    “…An overall tendency to an increase in FF and a decrease in functional measures were observed over 2 years. …”
  10. 20010

    Prediction performance of each model. by Ahmed S. Alkhalifah (20721713)

    Published 2025
    “…Nonsurvivors had a significantly higher time-weighted average MP (TWA-MP) than survivors. …”
  11. 20011

    Patient inclusion flow chart. by Ahmed S. Alkhalifah (20721713)

    Published 2025
    “…Nonsurvivors had a significantly higher time-weighted average MP (TWA-MP) than survivors. …”
  12. 20012
  13. 20013

    Inverse Simpson index (A) and richness (B) shown for the post-operative and perioperative groups. by Allison J. Collier (13977858)

    Published 2025
    “…<p>Significant decreases in the Inverse Simpson index (A) were noticed between Baseline and Recheck 1 (p = 0.01 perioperative group, p = 0.04 post-operative group), as well as between Baseline and Recheck 2 (p = 0.01 perioperative, p = 0.02 post-operative) in both the perioperative and post-operative groups. …”
  14. 20014
  15. 20015

    Characteristics of the study population. by Alexander Ritter (21982738)

    Published 2025
    “…Psychological assessment revealed that emotional distress and level of concern significantly differed across resilience levels and categories of CT findings. …”
  16. 20016

    Follow up costs for incidental findings. by Alexander Ritter (21982738)

    Published 2025
    “…Psychological assessment revealed that emotional distress and level of concern significantly differed across resilience levels and categories of CT findings. …”
  17. 20017

    Transcriptomic data of mature adipocytes from Dbc1 KO vs WT mice by Leonardo Santos (477304)

    Published 2025
    “…<b>(D)</b> Emapplot of the top 50 significantly enriched Gene Ontology terms (Biological Process), with increased terms in red and decreased terms in blue, in Dbc1 KO compared to Dbc1<sup>LoxP/LoxP</sup>. …”
  18. 20018

    Screening and identification of MSX1’s downstream effector genes associated with promoting HBx degradation. by Qian Qiu (331716)

    Published 2025
    “…(C and H) HBx protein levels were quantified using densitometry scanning and signal levels in control group were normalized as 1. …”
  19. 20019

    The <i>ENT2</i> knockout effects on CRC proliferation and survival. by Safaa M. Naes (22075434)

    Published 2025
    “…Plating Efficiency (PE) was calculated as the ratio of the number of colonies to the number of cells seeded. PE decreased significantly in both HKO1 and HKO2. No significant difference occurred between NTC and DKO cells. …”
  20. 20020