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Showing 8,321 - 8,340 results of 29,259 for search '(( 5 ((ng decrease) OR (nn decrease)) ) OR ( 50 ((mean decrease) OR (a decrease)) ))', query time: 0.99s Refine Results
  1. 8321
    Maintenance of weight loss or stability in subjects with obesity: a retrospective longitudinal analysis of a real-world population

    Maintenance of weight loss or stability in subjects with obesity: a retrospective longitudinal analysis of a real-world population by Maral DerSarkissian (504144)

    Published 2018
    “…</p> <p><b>Methods:</b> A retrospective observational longitudinal study of subjects with obesity was conducted using the General Electric Centricity electronic medical record database. …”
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  2. 8322
    IG feature selection process.

    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. …”
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  3. 8323
    RFE feature selection process.

    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. …”
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  4. 8324
    CICID2017 dataset information.

    CICID2017 dataset information. 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. …”
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  5. 8325
    Shows the basic architecture of an autoencoder.

    Shows the basic architecture of an autoencoder. 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. …”
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  6. 8326
    Architecture of deep neural networks.

    Architecture of deep neural networks. 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. …”
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  7. 8327
    Proposed model framework.

    Proposed model framework. 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. …”
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  8. 8328
    WUSTL-EHMS-2020 dataset information.

    WUSTL-EHMS-2020 dataset information. 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. …”
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  9. 8329
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
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  10. 8330
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
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  11. 8331
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
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  12. 8332
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
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  13. 8333
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
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  14. 8334
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
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  15. 8335
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
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  16. 8336
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
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  17. 8337
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
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  18. 8338
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
    Save to List
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  19. 8339
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
    Save to List
    Saved in:
  20. 8340
    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer

    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. …”
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