Showing 2,281 - 2,300 results of 5,501 for search '(( significant decrease decrease ) OR ( significant improvements decrease ))~', query time: 0.44s Refine Results
  1. 2281

    Table 2_Statin use during intensive care unit stay is associated with improved clinical outcomes in critically ill patients with sepsis: a cohort study.docx by Caifeng Li (3912883)

    Published 2025
    “…</p>Objective<p>To determine whether statins could improve the clinical outcomes in patients with sepsis.…”
  2. 2282

    Image 2_Statin use during intensive care unit stay is associated with improved clinical outcomes in critically ill patients with sepsis: a cohort study.jpeg by Caifeng Li (3912883)

    Published 2025
    “…</p>Objective<p>To determine whether statins could improve the clinical outcomes in patients with sepsis.…”
  3. 2283

    Image 3_Statin use during intensive care unit stay is associated with improved clinical outcomes in critically ill patients with sepsis: a cohort study.jpeg by Caifeng Li (3912883)

    Published 2025
    “…</p>Objective<p>To determine whether statins could improve the clinical outcomes in patients with sepsis.…”
  4. 2284

    Image 1_Statin use during intensive care unit stay is associated with improved clinical outcomes in critically ill patients with sepsis: a cohort study.jpeg by Caifeng Li (3912883)

    Published 2025
    “…</p>Objective<p>To determine whether statins could improve the clinical outcomes in patients with sepsis.…”
  5. 2285
  6. 2286

    Data Sheet 1_Does chlorhexidine improve periodontal health and bacterial profiles in patients with special health care needs? A systematic review and meta-analysis.docx by Deepak Sharma (131639)

    Published 2025
    “…Gingival inflammation also decreased significantly across studies (mean difference = −0.214; 95% CI: −0.306 to −0.121; P < .001), with 0.2% CHX formulations demonstrating the most consistent improvement.…”
  7. 2287

    Image 1_Kaixin San Jiawei granule improves cognitive function and alleviates neuronal damage in Alzheimer’s disease via multi-component and multi-target mechanisms.tif by Wei Liu (20030)

    Published 2025
    “…</p>Results<p>In vivo, KSG significantly alleviated scopolamine-induced cognitive deficits in mice. …”
  8. 2288

    Image 2_Kaixin San Jiawei granule improves cognitive function and alleviates neuronal damage in Alzheimer’s disease via multi-component and multi-target mechanisms.tif by Wei Liu (20030)

    Published 2025
    “…</p>Results<p>In vivo, KSG significantly alleviated scopolamine-induced cognitive deficits in mice. …”
  9. 2289

    Screening flowchart. by Xuechun Fan (5439470)

    Published 2024
    “…<div><p>Introduction</p><p>Diabetic peripheral neuropathy (DPN), a prevalent complication among individuals diagnosed with type 2 diabetes, has a significant impact on both the well-being of patients and their financial situation. …”
  10. 2290

    Search strategy in PubMed. by Xuechun Fan (5439470)

    Published 2024
    “…<div><p>Introduction</p><p>Diabetic peripheral neuropathy (DPN), a prevalent complication among individuals diagnosed with type 2 diabetes, has a significant impact on both the well-being of patients and their financial situation. …”
  11. 2291

    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. …”
  12. 2292

    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. …”
  13. 2293

    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. …”
  14. 2294

    Comparison of experimental results at ablation. 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. …”
  15. 2295

    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. …”
  16. 2296

    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. …”
  17. 2297

    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. …”
  18. 2298

    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. …”
  19. 2299

    Data Sheet 2_Ophiopogonin D improves pancreatic islet cell dedifferentiation to treat diabetes by regulating the GRP78/ROS/PDX1 signaling pathway.doc by Haoxiang Sun (6396902)

    Published 2025
    “…Introduction<p>The incidence of diabetes is rising annually, significantly impacting public health and imposing a substantial economic burden on society. …”
  20. 2300

    Data Sheet 1_Ophiopogonin D improves pancreatic islet cell dedifferentiation to treat diabetes by regulating the GRP78/ROS/PDX1 signaling pathway.doc by Haoxiang Sun (6396902)

    Published 2025
    “…Introduction<p>The incidence of diabetes is rising annually, significantly impacting public health and imposing a substantial economic burden on society. …”