Search alternatives:
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
nm decrease » _ decrease (Expand Search), we decrease (Expand Search), gy decreased (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 step » _ step (Expand Search), a step (Expand Search), 2 step (Expand Search)
Showing 341 - 360 results of 98,898 for search '(( 5 ((((nm decrease) OR (nn decrease))) OR (a decrease)) ) OR ( 5 step decrease ))', query time: 1.25s Refine Results
  1. 341
    Melatonin decreases the viability of BeWo cells under hypoxia/reoxygenation.

    Melatonin decreases the viability of BeWo cells under hypoxia/reoxygenation. by Lucas Sagrillo-Fagundes (6194843)

    Published 2019
    Save to List
    Saved in:
  2. 342
    Blocking C5L2 decreased MPO concentration in the supernatant of C5a-primed neutrophils.

    Blocking C5L2 decreased MPO concentration in the supernatant of C5a-primed neutrophils. by Jian Hao (160736)

    Published 2013
    Save to List
    Saved in:
  3. 343
    Graphic representation of freezing detection by video inspection and a computerized algorithm.

    Graphic representation of freezing detection by video inspection and a computerized algorithm. by Hiram Cantú (6009626)

    Published 2018
    Save to List
    Saved in:
  4. 344
    The estrogen receptor-α agonist PPT decreases cardiac myofilament activation.

    The estrogen receptor-α agonist PPT decreases cardiac myofilament activation. by Justyna Kulpa (313372)

    Published 2013
    “…<p>Myocardium was treated with the estrogen receptor-α agonist PPT (100 nM) for 1 (A) (N = 9), 2.5 (B) (N = 9), or 5 min (C) (N = 22). …”
    Save to List
    Saved in:
  5. 345
    WT1 mRNA and protein levels are decreased by GnRH.

    WT1 mRNA and protein levels are decreased by GnRH. by Debalina Bagchi (686046)

    Published 2015
    Save to List
    Saved in:
  6. 346
    PMC exhibits less sensitivity to decreasing signal-to-noise ratio (SNR)

    PMC exhibits less sensitivity to decreasing signal-to-noise ratio (SNR) by Owen Puls (22340344)

    Published 2025
    Save to List
    Saved in:
  7. 347
    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking

    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking by Luyang Zhao (1903252)

    Published 2016
    Save to List
    Saved in:
  8. 348
    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking

    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking by Luyang Zhao (1903252)

    Published 2016
    Save to List
    Saved in:
  9. 349
    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking

    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking by Luyang Zhao (1903252)

    Published 2016
    Save to List
    Saved in:
  10. 350
    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking

    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking by Luyang Zhao (1903252)

    Published 2016
    Save to List
    Saved in:
  11. 351
    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking

    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking by Luyang Zhao (1903252)

    Published 2016
    Save to List
    Saved in:
  12. 352
    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking

    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking by Luyang Zhao (1903252)

    Published 2016
    Save to List
    Saved in:
  13. 353
    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking

    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking by Luyang Zhao (1903252)

    Published 2016
    Save to List
    Saved in:
  14. 354
    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking

    Microscopic Movement of Slow-Diffusing Nanoparticles in Cylindrical Nanopores Studied with Three-Dimensional Tracking by Luyang Zhao (1903252)

    Published 2016
    Save to List
    Saved in:
  15. 355
    Combination of MK-2206 and R5020 significantly decreases cell viability.

    Combination of MK-2206 and R5020 significantly decreases cell viability. by Alok Pant (314711)

    Published 2013
    Save to List
    Saved in:
  16. 356
    IFN-λ decreases miR-122 transcription in HCV cells.

    IFN-λ decreases miR-122 transcription in HCV cells. by Fatma Aboulnasr (736868)

    Published 2015
    Save to List
    Saved in:
  17. 357
    App1 decreases the recovery time after amphotericin B treatment.

    App1 decreases the recovery time after amphotericin B treatment. by Muhammad Ghaffar (8082002)

    Published 2019
    Save to List
    Saved in:
  18. 358
    Over-expression of rhodopsin decreased the expression levels of differentiation markers in NHEKs.

    Over-expression of rhodopsin decreased the expression levels of differentiation markers in NHEKs. by Hyoung-June Kim (459814)

    Published 2013
    Save to List
    Saved in:
  19. 359
    <i>In vitro</i> IC<sub>50</sub> values (nM) for fatty acid desaturases.

    <i>In vitro</i> IC<sub>50</sub> values (nM) for fatty acid desaturases. by Hiroaki Yashiro (2231686)

    Published 2016
    Save to List
    Saved in:
  20. 360
    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
    Save to List
    Saved in:

Search Tools: