Showing 6,901 - 6,920 results of 31,756 for search '(( a step decrease ) OR ( 50 ((((teer decrease) OR (mean decrease))) OR (a decrease)) ))', query time: 1.09s Refine Results
  1. 6901

    Amiselimod (MT-1303), a novel sphingosine 1-phosphate receptor-1 functional antagonist, inhibits progress of chronic colitis induced by transfer of CD4<sup>+</sup>CD45RB<sup>high</... by Kyoko Shimano (2304151)

    Published 2019
    “…MT-1303 phosphate (MT-1303-P), an active metabolite of MT-1303, exhibits S1P<sub>1</sub> receptor agonism at a lower EC<sub>50</sub> value than other S1P<sub>1</sub> receptor modulators currently being developed. …”
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  9. 6909

    Detail of the personalized-enhanced GCN. by Yuanming Ding (12842858)

    Published 2025
    “…The aPFGCN module effectively reduces the dimensionality of features and decreases model complexity to obtain the final node feature representation by personalizing the adjustment of node influence coefficients and applying Fourier transform and inverse transform techniques. …”
  10. 6910

    Enhanced multi-component module. by Yuanming Ding (12842858)

    Published 2025
    “…The aPFGCN module effectively reduces the dimensionality of features and decreases model complexity to obtain the final node feature representation by personalizing the adjustment of node influence coefficients and applying Fourier transform and inverse transform techniques. …”
  11. 6911

    The architecture of the TCBiL. by Yuanming Ding (12842858)

    Published 2025
    “…The aPFGCN module effectively reduces the dimensionality of features and decreases model complexity to obtain the final node feature representation by personalizing the adjustment of node influence coefficients and applying Fourier transform and inverse transform techniques. …”
  12. 6912

    Detail of the encoder. by Yuanming Ding (12842858)

    Published 2025
    “…The aPFGCN module effectively reduces the dimensionality of features and decreases model complexity to obtain the final node feature representation by personalizing the adjustment of node influence coefficients and applying Fourier transform and inverse transform techniques. …”
  13. 6913

    Detail of the Fourier transform. by Yuanming Ding (12842858)

    Published 2025
    “…The aPFGCN module effectively reduces the dimensionality of features and decreases model complexity to obtain the final node feature representation by personalizing the adjustment of node influence coefficients and applying Fourier transform and inverse transform techniques. …”
  14. 6914

    Detail of the decoder. by Yuanming Ding (12842858)

    Published 2025
    “…The aPFGCN module effectively reduces the dimensionality of features and decreases model complexity to obtain the final node feature representation by personalizing the adjustment of node influence coefficients and applying Fourier transform and inverse transform techniques. …”
  15. 6915

    Encoder-decoder architecture. by Yuanming Ding (12842858)

    Published 2025
    “…The aPFGCN module effectively reduces the dimensionality of features and decreases model complexity to obtain the final node feature representation by personalizing the adjustment of node influence coefficients and applying Fourier transform and inverse transform techniques. …”
  16. 6916

    Dataset description. by Yuanming Ding (12842858)

    Published 2025
    “…The aPFGCN module effectively reduces the dimensionality of features and decreases model complexity to obtain the final node feature representation by personalizing the adjustment of node influence coefficients and applying Fourier transform and inverse transform techniques. …”
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