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Showing 21 - 40 results of 6,211 for search '(( 50 nn decrease ) OR ( 100 ((ng decrease) OR (((we decrease) OR (mean decrease)))) ))', query time: 0.65s Refine Results
  1. 21
    Figure 5 from Ammonia Suppresses the Antitumor Activity of Natural Killer Cells and T Cells by Decreasing Mature Perforin

    Figure 5 from Ammonia Suppresses the Antitumor Activity of Natural Killer Cells and T Cells by Decreasing Mature Perforin by Joanna Domagala (21643925)

    Published 2025
    “…<p>Ammonia decreases the amount of mature perforin in NK cells. …”
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  2. 22
    Respiratory patterns among study participants DM vs HC (n = 200; DM = 100, HC = 100).

    Respiratory patterns among study participants DM vs HC (n = 200; DM = 100, HC = 100). by Uzair Abbas (18517982)

    Published 2024
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  3. 23
    Average giving in the 5€, 100€, and 1000€ treatments.

    Average giving in the 5€, 100€, and 1000€ treatments. by Pablo Brañas-Garza (336425)

    Published 2021
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  4. 24
    Time series depicting trends in utilization and prescriptions per 100 child-years over the study period.

    Time series depicting trends in utilization and prescriptions per 100 child-years over the study period. by Alan R. Schroeder (14020291)

    Published 2022
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  5. 25
    The function of the high affinity DA transporter (DAT) in the presence of 40 μM nomifensine or the combination of 100ng/ml CDNF and N4.

    The function of the high affinity DA transporter (DAT) in the presence of 40 μM nomifensine or the combination of 100ng/ml CDNF and N4. by Juliann D. Jaumotte (10090290)

    Published 2021
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  6. 26
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

    Published 2022
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  7. 27
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

    Published 2022
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  8. 28
    Changes in mean modeled Zn, Pb, and Cd concentrations in <i>Hylocomium splendens</i> between 2001 and 2017.

    Changes in mean modeled Zn, Pb, and Cd concentrations in <i>Hylocomium splendens</i> between 2001 and 2017. by Peter N. Neitlich (4034300)

    Published 2024
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  9. 29
    Comparison of self-reported fitness on IFiS scale components between DM and HC (n = 200; DM = 100, HC = 100).

    Comparison of self-reported fitness on IFiS scale components between DM and HC (n = 200; DM = 100, HC = 100). by Uzair Abbas (18517982)

    Published 2024
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  10. 30
    Means for STEM competence for pre- and post-test.

    Means for STEM competence for pre- and post-test. by Esther Kim (2996622)

    Published 2024
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  11. 31
    Fig 2 -

    Fig 2 - by Tatsuya Nishikawa (4108258)

    Published 2022
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  12. 32
    Additional behavioral patterns in the 5€, 100€, and 1000€ treatments.

    Additional behavioral patterns in the 5€, 100€, and 1000€ treatments. by Pablo Brañas-Garza (336425)

    Published 2021
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  13. 33
    Summary of predictors that increase (+ UC) and decrease (- UC) the dose of propofol for the three statistical models used for data analysis.

    Summary of predictors that increase (+ UC) and decrease (- UC) the dose of propofol for the three statistical models used for data analysis. by Chiara E. Hampton (16484687)

    Published 2023
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  14. 34
    Evaluation index results for the JS-10 phantom.

    Evaluation index results for the JS-10 phantom. by Masakazu Tsujimoto (22339504)

    Published 2025
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  15. 35
    NEMA IEC body phantom.

    NEMA IEC body phantom. by Masakazu Tsujimoto (22339504)

    Published 2025
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  16. 36
    Relationship between contrast, noise, and CNR.

    Relationship between contrast, noise, and CNR. by Masakazu Tsujimoto (22339504)

    Published 2025
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  17. 37
    JS-10 phantom.

    JS-10 phantom. by Masakazu Tsujimoto (22339504)

    Published 2025
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  18. 38
    The raw data used for the analyses in this study.

    The raw data used for the analyses in this study. by Masakazu Tsujimoto (22339504)

    Published 2025
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  19. 39
    Mean TTC under different weights.

    Mean TTC under different weights. by Jianrong Cai (14245136)

    Published 2024
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  20. 40
    Means for global competence pre- and post-test scores.

    Means for global competence pre- and post-test scores. by Esther Kim (2996622)

    Published 2024
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