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point decrease » point increase (Expand Search)
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Showing 41 - 60 results of 27,057 for search '(( 50 ((ng decrease) OR (((nn decrease) OR (a decrease)))) ) OR ( 3d point decrease ))', query time: 0.89s Refine Results
  1. 41
    Decrease in vRNA in brain during antiretroviral therapy.

    Decrease in vRNA in brain during antiretroviral therapy. by Sonny R. Elizaldi (9684796)

    Published 2023
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  2. 42
    MPI knockdown decreases migration of human glioblastoma cells.

    MPI knockdown decreases migration of human glioblastoma cells. by Aurélie Cazet (644004)

    Published 2014
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  3. 43
    2-APB decreased the cytokine secretions in human DC.

    2-APB decreased the cytokine secretions in human DC. by Romain Félix (586765)

    Published 2013
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  4. 44
    IL-1β decreases RBP4 production.

    IL-1β decreases RBP4 production. by Primoz Kotnik (382835)

    Published 2013
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  5. 45
    Receptor specific silencing decreases NGF induced apoptosis.

    Receptor specific silencing decreases NGF induced apoptosis. by Alessandra Micera (294762)

    Published 2013
    “…A 37.5%-decrease (*) and a 50%-decrease (**) of apoptotic signal were detected respectively in p75<sup>NTR</sup>-siRNA and p75<sup>NTR</sup>/trkA<sup>NGFR</sup>-siRNA (p<.05).…”
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  6. 46
    FHL2 silencing decreases osteosarcoma cell growth.

    FHL2 silencing decreases osteosarcoma cell growth. by Julia Brun (286504)

    Published 2013
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  7. 47
    Telomerase inhibition decreases the proliferation and tube formation of HUVECs.

    Telomerase inhibition decreases the proliferation and tube formation of HUVECs. by Nadine Mahfouz (4097566)

    Published 2017
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  8. 48
    3D visualization of longitudinal T2w imaging.

    3D visualization of longitudinal T2w imaging. by Joshua Park (719780)

    Published 2015
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  9. 49
    Performance of selected antimalarials against field isolates during the study period.

    Performance of selected antimalarials against field isolates during the study period. by Winnie Okore (14139712)

    Published 2024
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  10. 50
    Primers used for analysis of four SNPs in one gene.

    Primers used for analysis of four SNPs in one gene. by Winnie Okore (14139712)

    Published 2024
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  11. 51
    Number of samples per site during the study period.

    Number of samples per site during the study period. by Winnie Okore (14139712)

    Published 2024
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  12. 52
    Performance of selected drugs against field isolates during the study period.

    Performance of selected drugs against field isolates during the study period. by Winnie Okore (14139712)

    Published 2024
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  13. 53
    <i>In vitro</i> susceptibility responses of field isolates to antimalarials during the study period.

    <i>In vitro</i> susceptibility responses of field isolates to antimalarials during the study period. by Winnie Okore (14139712)

    Published 2024
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  14. 54
    <i>Pfmrp1</i> gene SNPs data during the study period.

    <i>Pfmrp1</i> gene SNPs data during the study period. by Winnie Okore (14139712)

    Published 2024
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  15. 55
    Frequency of SNPs in <i>Pfmrp1</i> gene in field isolates during the study period.

    Frequency of SNPs in <i>Pfmrp1</i> gene in field isolates during the study period. by Winnie Okore (14139712)

    Published 2024
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  16. 56
    <i>In vitro</i> 95% CI lower and upper mean susceptibility responses of field isolates to antimalarials.

    <i>In vitro</i> 95% CI lower and upper mean susceptibility responses of field isolates to antimalarials. by Winnie Okore (14139712)

    Published 2024
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  17. 57
    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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  18. 58
    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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  19. 59
    Viability of microencapsulated FP ICCs decreased with time post-transplantation.

    Viability of microencapsulated FP ICCs decreased with time post-transplantation. by Vijayaganapathy Vaithilingam (390354)

    Published 2013
    “…B) Viability decreased with time post-transplantation. Values are mean ± SEM (n = 100 microcapsules/mice for each time point); *p&lt;0.05 viability for days 7 to 21 when compared to pre-transplantation control and days 1 and 3 post-transplantation; #p&lt;0.05 viability for days 14 and 21 when compared to day 7 post-transplantation (one-way ANOVA with post-hoc Tukey-Kramer Multiple-Comparison test).…”
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  20. 60
    Exogenous FGF4 decreases osteogenic differentiation of mESCs.

    Exogenous FGF4 decreases osteogenic differentiation of mESCs. by Sung-Ho Kook (445098)

    Published 2013
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