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Showing 3,681 - 3,700 results of 10,836 for search 'significantly ((((((lower decrease) OR (we decrease))) OR (nn decrease))) OR (mean decrease))', query time: 0.40s Refine Results
  1. 3681
    Targeted removal robustness analysis.

    Targeted removal robustness analysis. by Fei Wang (19534)

    Published 2025
    “…Distance increased the relative abundance of Actinobacteria, Acidobacteria, and Chloroflexi, but significantly decreased the relative abundance of Proteobacteria and Firmicutes. …”
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  2. 3682
    The network parameter at different distances.

    The network parameter at different distances. by Fei Wang (19534)

    Published 2025
    “…Distance increased the relative abundance of Actinobacteria, Acidobacteria, and Chloroflexi, but significantly decreased the relative abundance of Proteobacteria and Firmicutes. …”
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  3. 3683
    Litter clump weight across experimental groups and days in the study.

    Litter clump weight across experimental groups and days in the study. by Allison Andrukonis (11846404)

    Published 2025
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  4. 3684
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
    “…To address the aforementioned challenges, we developed a bionic wedge-shaped track on the copper (Cu) substrate inspired by the cone-shaped thorn of cactus for liquid spontaneous transport. …”
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  5. 3685
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
    “…To address the aforementioned challenges, we developed a bionic wedge-shaped track on the copper (Cu) substrate inspired by the cone-shaped thorn of cactus for liquid spontaneous transport. …”
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  6. 3686
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
    “…To address the aforementioned challenges, we developed a bionic wedge-shaped track on the copper (Cu) substrate inspired by the cone-shaped thorn of cactus for liquid spontaneous transport. …”
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  7. 3687
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
    “…To address the aforementioned challenges, we developed a bionic wedge-shaped track on the copper (Cu) substrate inspired by the cone-shaped thorn of cactus for liquid spontaneous transport. …”
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  8. 3688
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
    “…To address the aforementioned challenges, we developed a bionic wedge-shaped track on the copper (Cu) substrate inspired by the cone-shaped thorn of cactus for liquid spontaneous transport. …”
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  9. 3689
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
    “…To address the aforementioned challenges, we developed a bionic wedge-shaped track on the copper (Cu) substrate inspired by the cone-shaped thorn of cactus for liquid spontaneous transport. …”
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  10. 3690
    Schematic diagram of numerical simulation model.

    Schematic diagram of numerical simulation model. by Mengyun Li (7490870)

    Published 2025
    “…Finally, using the established prediction method, we calculated the limiting conditions for the existence of weak water-flushed zones in the X oil field test area. …”
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  11. 3691
    The result of molecular dynamics simulation.

    The result of molecular dynamics simulation. by Ashraf Attia Mahmoud (21262201)

    Published 2025
    “…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”
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  12. 3692
    Result of the phenotypic analysis.

    Result of the phenotypic analysis. by Ashraf Attia Mahmoud (21262201)

    Published 2025
    “…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”
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  13. 3693
    Type of Mutations.

    Type of Mutations. by Ashraf Attia Mahmoud (21262201)

    Published 2025
    “…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”
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  14. 3694
    Algorithm training accuracy experiments.

    Algorithm training accuracy experiments. by Yingying Liu (360782)

    Published 2025
    “…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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  15. 3695
    Repeat the detection experiment.

    Repeat the detection experiment. by Yingying Liu (360782)

    Published 2025
    “…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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  16. 3696
    Detection network structure with IRAU [34].

    Detection network structure with IRAU [34]. by Yingying Liu (360782)

    Published 2025
    “…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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  17. 3697
    Ablation experiments of various block.

    Ablation experiments of various block. by Yingying Liu (360782)

    Published 2025
    “…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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  18. 3698
    Kappa coefficients for different algorithms.

    Kappa coefficients for different algorithms. by Yingying Liu (360782)

    Published 2025
    “…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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  19. 3699
    The structure of ASPP+ block.

    The structure of ASPP+ block. by Yingying Liu (360782)

    Published 2025
    “…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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  20. 3700
    The structure of attention gate block [31].

    The structure of attention gate block [31]. by Yingying Liu (360782)

    Published 2025
    “…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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