Showing 9,101 - 9,120 results of 18,609 for search 'significantly ((((((lower decrease) OR (a decrease))) OR (linear decrease))) OR (greater decrease))', query time: 0.57s Refine Results
  1. 9101

    Table 1_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

    Published 2025
    “…Younger age was associated with insomnia (OR = 0.49, p = 0.018). Female sex was significantly associated with a greater likelihood of lack of energy (OR = 2.55, p = 0.048). …”
  2. 9102

    Table 3_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

    Published 2025
    “…Younger age was associated with insomnia (OR = 0.49, p = 0.018). Female sex was significantly associated with a greater likelihood of lack of energy (OR = 2.55, p = 0.048). …”
  3. 9103

    Table 2_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

    Published 2025
    “…Younger age was associated with insomnia (OR = 0.49, p = 0.018). Female sex was significantly associated with a greater likelihood of lack of energy (OR = 2.55, p = 0.048). …”
  4. 9104

    Table_2_Oral swabs as a proxy for direct ruminal microbiome sampling in Holstein dairy cows is correlated with sample color.XLSX by Joseph H. Skarlupka (5830637)

    Published 2024
    “…Our analysis of the fungal microbiome found that swabs with increasing darkness scores were associated with decreased alpha diversity (p < 0.05) and were also significantly associated with the ruminal solids fungal community, but not with the ruminal liquid community. …”
  5. 9105

    Table_2_Oral swabs as a proxy for direct ruminal microbiome sampling in Holstein dairy cows is correlated with sample color.XLSX by Joseph H. Skarlupka (5830637)

    Published 2024
    “…Our analysis of the fungal microbiome found that swabs with increasing darkness scores were associated with decreased alpha diversity (p < 0.05) and were also significantly associated with the ruminal solids fungal community, but not with the ruminal liquid community. …”
  6. 9106

    Table_1_Oral swabs as a proxy for direct ruminal microbiome sampling in Holstein dairy cows is correlated with sample color.XLSX by Joseph H. Skarlupka (5830637)

    Published 2024
    “…Our analysis of the fungal microbiome found that swabs with increasing darkness scores were associated with decreased alpha diversity (p < 0.05) and were also significantly associated with the ruminal solids fungal community, but not with the ruminal liquid community. …”
  7. 9107

    Table_3_Oral swabs as a proxy for direct ruminal microbiome sampling in Holstein dairy cows is correlated with sample color.XLSX by Joseph H. Skarlupka (5830637)

    Published 2024
    “…Our analysis of the fungal microbiome found that swabs with increasing darkness scores were associated with decreased alpha diversity (p < 0.05) and were also significantly associated with the ruminal solids fungal community, but not with the ruminal liquid community. …”
  8. 9108

    Table_1_Oral swabs as a proxy for direct ruminal microbiome sampling in Holstein dairy cows is correlated with sample color.XLSX by Joseph H. Skarlupka (5830637)

    Published 2024
    “…Our analysis of the fungal microbiome found that swabs with increasing darkness scores were associated with decreased alpha diversity (p < 0.05) and were also significantly associated with the ruminal solids fungal community, but not with the ruminal liquid community. …”
  9. 9109

    Table_3_Oral swabs as a proxy for direct ruminal microbiome sampling in Holstein dairy cows is correlated with sample color.XLSX by Joseph H. Skarlupka (5830637)

    Published 2024
    “…Our analysis of the fungal microbiome found that swabs with increasing darkness scores were associated with decreased alpha diversity (p < 0.05) and were also significantly associated with the ruminal solids fungal community, but not with the ruminal liquid community. …”
  10. 9110

    Microemulsion for stimulating wells with high gas and water cut by Baghir A. Suleimanov (20460195)

    Published 2024
    “…It has been found that the treatment of the bottomhole zone with the developed microemulsion leads to a significant reduction in the size of gas bubbles due to a decrease in interfacial tension, which facilitates their removal from the bottomhole zone and increases hydraulic diffusivity of the porous medium for oil approximately five times. …”
  11. 9111

    Primer sequences. by Min Young Park (2886017)

    Published 2024
    “…Our data also show that LP diet induces a decrease in the serum concentrations of phosphorus and FGF23, resulting in increased RBC counts, hemoglobin concentration, and hematocrit compared to mice fed normal diet. …”
  12. 9112
  13. 9113

    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. …”
  14. 9114

    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. …”
  15. 9115

    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. …”
  16. 9116

    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. …”
  17. 9117

    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. …”
  18. 9118

    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. …”
  19. 9119

    DyHead Structure. 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. 9120

    The parameters of the training phase. 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. …”