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nn decrease » a decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
ng decrease » a decrease (Expand Search), we decrease (Expand Search), gy decreased (Expand Search)
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e decrease » a decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
50 nn » 50 ns (Expand Search), 50 ng (Expand Search), 50 n (Expand Search)
Showing 1 - 20 results of 49,400 for search '(( 50 nn decrease ) OR ((( 50 ((ng decrease) OR (_ decrease)) ) OR ( _ e decrease ))))', query time: 0.48s Refine Results
  1. 1
    The decrease in blood flow disrupts CV pruning.

    The decrease in blood flow disrupts CV pruning. by Lin Wen (557398)

    Published 2021
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  2. 2
    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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  3. 3
    Primary endpoint analysis, i.e., time to first occurrence of combined event of 50% decrease in eGFR or ESRD.

    Primary endpoint analysis, i.e., time to first occurrence of combined event of 50% decrease in eGFR or ESRD. by Rozita Mohd (7411322)

    Published 2021
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  4. 4
    IC<sub>50</sub>s data of antimalarials against controls.

    IC<sub>50</sub>s data of antimalarials against controls. by Winnie Okore (14139712)

    Published 2024
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  5. 5
    Drugs IC<sub>50</sub>s data during the study period.

    Drugs IC<sub>50</sub>s data during the study period. by Winnie Okore (14139712)

    Published 2024
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  6. 6
    SNPs IC<sub>50</sub>s data at codon 876 during the study period.

    SNPs IC<sub>50</sub>s data at codon 876 during the study period. by Winnie Okore (14139712)

    Published 2024
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  7. 7
    Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone.

    Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

    Published 2020
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  8. 8
    Effect of melatonin (50 μM) on the TGF-β1 (10 ng/mL, 72 h)-mediated TGF-β1/Smad pathway and EMT in HBdSMCs.

    Effect of melatonin (50 μM) on the TGF-β1 (10 ng/mL, 72 h)-mediated TGF-β1/Smad pathway and EMT in HBdSMCs. by Yang Zhang (30734)

    Published 2024
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  9. 9
    Proteasomal activity decreases with ApoE4 expression.

    Proteasomal activity decreases with ApoE4 expression. by Nathan R. Zuniga (20422428)

    Published 2024
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  10. 10
    Association of polymorphic IC<sub>50s</sub> versus wild<i>-</i>type at codon 876 in selected drugs tested.

    Association of polymorphic IC<sub>50s</sub> versus wild<i>-</i>type at codon 876 in selected drugs tested. by Winnie Okore (14139712)

    Published 2024
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  11. 11
    Detection of the Challenging mutations at 1% VAF and 50 ng DNA input.

    Detection of the Challenging mutations at 1% VAF and 50 ng DNA input. by Lizhi Yu (12476136)

    Published 2022
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  12. 12
    Expression of ApoB-50 decreased lipid accumulation and inhibited HCV production.

    Expression of ApoB-50 decreased lipid accumulation and inhibited HCV production. by Bei Wang (116772)

    Published 2021
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  13. 13
    Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF.

    Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF. by Valentin Brusseau (12769704)

    Published 2022
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  14. 14
    Clinical characteristics of patients in the increased-, stable-, and decreased-RPR groups.

    Clinical characteristics of patients in the increased-, stable-, and decreased-RPR groups. by Kazuhiko Ikeuchi (9234268)

    Published 2023
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  15. 15
    E<sub>50</sub> values.

    E<sub>50</sub> values. by Junxia Zhou (14381598)

    Published 2024
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  16. 16
    Definitions of the features selected [50].

    Definitions of the features selected [50]. by Yu Zhang (12946)

    Published 2021
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  17. 17
    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. 18
    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. 19
    E<sub>50</sub> values of angle.

    E<sub>50</sub> values of angle. by Junxia Zhou (14381598)

    Published 2024
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  20. 20
    Curve fitting of E<sub>50</sub>.

    Curve fitting of E<sub>50</sub>. by Junxia Zhou (14381598)

    Published 2024
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