Showing 5,521 - 5,540 results of 18,743 for search '(( 50 ((a decrease) OR (((nn decrease) OR (mean decrease)))) ) OR ( 5 wt decrease ))', query time: 0.41s Refine Results
  1. 5521

    Characteristics of Gasless Combustion of Core–Shell Al@NiO Microparticles with Boosted Exothermic Performance by Shina Maini (19413980)

    Published 2024
    “…The PM composite was not able to be ignited at all by a 5 W laser, while the core–shell counterpart ignited at 2.55 ms and was completely combusted within 6.50 ms accompanying a violent impulse.…”
  2. 5522
  3. 5523
  4. 5524

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  5. 5525

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  6. 5526

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  7. 5527

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  8. 5528

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  9. 5529

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  10. 5530

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  11. 5531

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  12. 5532

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  13. 5533

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  14. 5534

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  15. 5535

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  16. 5536

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  17. 5537

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  18. 5538

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  19. 5539

    IG feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”
  20. 5540

    RFE feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”