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Showing 441 - 460 results of 26,149 for search '(( 5 ((ng decrease) OR (mean decrease)) ) OR ( 50 ((a decrease) OR (teer decrease)) ))', query time: 0.88s Refine Results
  1. 441
    Mean in cold pressor tolerance overtime (baseline to 12 weeks).

    Mean in cold pressor tolerance overtime (baseline to 12 weeks). by Judith I. Tsui (5983160)

    Published 2024
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  2. 442
    Decreased expression levels of SPI-1 genes in <i>bipA</i>-deleted strain at 20°C.

    Decreased expression levels of SPI-1 genes in <i>bipA</i>-deleted strain at 20°C. by Eunsil Choi (8271039)

    Published 2025
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  3. 443
    Firing rates of PNs (as maximum activity) in response to a single synchronous triangular pulse of 50 ms duration applied to both ORN groups.

    Firing rates of PNs (as maximum activity) in response to a single synchronous triangular pulse of 50 ms duration applied to both ORN groups. by Mario Pannunzi (553941)

    Published 2021
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  4. 444
    Firing rates of ORNs (as maximum activity) in response to a single synchronous triangular pulse of 50 ms duration applied to both ORN groups.

    Firing rates of ORNs (as maximum activity) in response to a single synchronous triangular pulse of 50 ms duration applied to both ORN groups. by Mario Pannunzi (553941)

    Published 2021
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  5. 445
    <i>Mycobacterium tuberculosis</i> thymidylate synthase (ThyX) is a target for plumbagin, a natural product with antimycobacterial activity - Fig 2

    <i>Mycobacterium tuberculosis</i> thymidylate synthase (ThyX) is a target for plumbagin, a natural product with antimycobacterial activity - Fig 2 by Apurba Sarkar (8399571)

    Published 2020
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  6. 446
    The synchronous activity of SGN fiber populations is disrupted and their response to sound is decreased with increasing levels of <i>L</i><sub><i>u</i></sub> heterogeneity.

    The synchronous activity of SGN fiber populations is disrupted and their response to sound is decreased with increasing levels of <i>L</i><sub><i>u</i></sub> heterogeneity. by Maral Budak (6680351)

    Published 2021
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  7. 447
    A summary of calibration standards (n = 3).

    A summary of calibration standards (n = 3). by Ewa Paszkowska (21246702)

    Published 2025
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  8. 448
    The observed MRM reactions.

    The observed MRM reactions. by Ewa Paszkowska (21246702)

    Published 2025
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  9. 449
    Intra- and inter-day precision and accuracy.

    Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

    Published 2025
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  10. 450
    The sensitivity analysis results for standardized mean differences of circulating apelin levels between cases with CVDs and controls.

    The sensitivity analysis results for standardized mean differences of circulating apelin levels between cases with CVDs and controls. by Hamed Akbari (8119361)

    Published 2022
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  11. 451
    Sampled locations with banana in 2016.

    Sampled locations with banana in 2016. by Dennis Ochola (11626912)

    Published 2022
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  12. 452
    Fig 3 -

    Fig 3 - by Dennis Ochola (11626912)

    Published 2022
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  13. 453
    Classification and regression tree (CART) showing the biophysical factors associated with geographic shift in banana at national level.

    Classification and regression tree (CART) showing the biophysical factors associated with geographic shift in banana at national level. by Dennis Ochola (11626912)

    Published 2022
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  14. 454
    Scanned map of historical locations with banana in 1958.

    Scanned map of historical locations with banana in 1958. by Dennis Ochola (11626912)

    Published 2022
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  15. 455
    Fig 6 -

    Fig 6 - by Dennis Ochola (11626912)

    Published 2022
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  16. 456
    Fig 9 -

    Fig 9 - by Dennis Ochola (11626912)

    Published 2022
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  17. 457
    Fig 7 -

    Fig 7 - by Dennis Ochola (11626912)

    Published 2022
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  18. 458
    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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  19. 459
    Fig 4 -

    Fig 4 - by Dennis Ochola (11626912)

    Published 2022
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  20. 460
    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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