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Showing 12,321 - 12,340 results of 23,606 for search '(( 5 ((wt decrease) OR (nn decrease)) ) OR ( 100 ((we decrease) OR (a decrease)) ))', query time: 1.02s Refine Results
  1. 12321
    Heme Oxygenase Isoform 1 Regresses Cardiomyocyte Hypertrophy Through Regressing Sodium Proton Exchanger Isoform 1 Activity

    Heme Oxygenase Isoform 1 Regresses Cardiomyocyte Hypertrophy Through Regressing Sodium Proton Exchanger Isoform 1 Activity by Sobh, Ahmed

    Published 2014
    “…Results: Our results showed a significant decrease in HO-1 mRNA expression in cardiomyocytes expressing active NHE1 (74.84 ± 9.19 % vs. 100 % normal NHE1 expression, p<0.05). …”
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  2. 12322
    RFAConv working principle.

    RFAConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  3. 12323
    PConv working principle.

    PConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  4. 12324
    Improvement of SPPF to SPPF-R process.

    Improvement of SPPF to SPPF-R process. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  5. 12325
    PR comparison on RSOD dataset.

    PR comparison on RSOD dataset. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  6. 12326
    Ablation study on the RSOD dataset.

    Ablation study on the RSOD dataset. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  7. 12327
    Structure and working principle of LI-YOLOv8.

    Structure and working principle of LI-YOLOv8. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  8. 12328
    C2f-E improvement process.

    C2f-E improvement process. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  9. 12329
    Structure of Detect and GP-Detect.

    Structure of Detect and GP-Detect. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  10. 12330
    YOLOv8 structure and working principle.

    YOLOv8 structure and working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  11. 12331
    Improvement of CBS to CBR process.

    Improvement of CBS to CBR process. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  12. 12332
    EMA attention mechanism working principle.

    EMA attention mechanism working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  13. 12333
    Ablation study on the NWPU VHR-10 dataset.

    Ablation study on the NWPU VHR-10 dataset. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  14. 12334
    GSConv working principle.

    GSConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  15. 12335
    PR comparison on NWPU VHR-10 dataset.

    PR comparison on NWPU VHR-10 dataset. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  16. 12336
    Variance of the medians of <i>p</i><sub><i>m</i></sub>/<i>p</i><sub><i>s</i></sub> with respect to the level of popularity of messages.

    Variance of the medians of <i>p</i><sub><i>m</i></sub>/<i>p</i><sub><i>s</i></sub> with respect to the level of popularity of messages. by Cangqi Zhou (813368)

    Published 2015
    “…The medians of the ratios, which are 4.654, 4.362, 3.898 and 3.100 respectively, decrease slightly as the level of popularity increases.…”
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  17. 12337
    Disable Patients Monitoring and Study their Medical Conditions using Artificial Neural Networks

    Disable Patients Monitoring and Study their Medical Conditions using Artificial Neural Networks by Dr.E.N. Ganesh (12315038)

    Published 2022
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  18. 12338
    Image_2_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF

    Image_2_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

    Published 2021
    “…Notable compositional changes of topics included a decrease in capture-recapture, recent decrease in spatial-capture-recapture, and increases in occupancy, interspecific interactions, and automated image classification. …”
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  19. 12339
    Image_10_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF

    Image_10_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

    Published 2021
    “…Notable compositional changes of topics included a decrease in capture-recapture, recent decrease in spatial-capture-recapture, and increases in occupancy, interspecific interactions, and automated image classification. …”
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  20. 12340
    Table_2_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.docx

    Table_2_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.docx by Zackary J. Delisle (10200560)

    Published 2021
    “…Notable compositional changes of topics included a decrease in capture-recapture, recent decrease in spatial-capture-recapture, and increases in occupancy, interspecific interactions, and automated image classification. …”
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