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Showing 3,061 - 3,080 results of 9,774 for search 'significantly ((((((larger decrease) OR (we decrease))) OR (linear decrease))) OR (mean decrease))', query time: 0.68s Refine Results
  1. 3061
    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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  2. 3062
    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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  3. 3063
    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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  4. 3064
    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. 3065
    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. 3066
    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. 3067
    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. 3068
    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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  9. 3069
    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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  10. 3070
    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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  11. 3071
    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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  12. 3072
    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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  13. 3073
    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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  14. 3074
    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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  15. 3075
    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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  16. 3076
    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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  17. 3077
    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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  18. 3078
    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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  19. 3079
    DSC block and its application network structure.

    DSC block and its application network structure. 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. 3080
    The structure of multi-scale residual block [30].

    The structure of multi-scale residual block [30]. 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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