Showing 148,861 - 148,880 results of 226,541 for search '(( 5 ((point decrease) OR (mean decrease)) ) OR ( 10 ((nn decrease) OR (a decrease)) ))', query time: 1.85s Refine Results
  1. 148861
  2. 148862
  3. 148863

    <i>mig-21</i> sensitizes adult DTCs to polarizing signals. by Xin Li (51274)

    Published 2025
    “…Dashed line indicates repression of <i>unc-5</i> by <i>mom-5</i>; this has been shown to involve the Rac-pathway members <i>mig-2, ced-10,</i> and <i>ced-12</i> [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011866#pgen.1011866.ref019" target="_blank">19</a>]. …”
  4. 148864

    REPLICATION MATERIAL to Question-order Effect in the Study of Satisfaction with Democracy. Lessons from Three Split-ballot Experiments (Papp et al. 2024, Sociological Methodology) by Zsófia Papp (10573241)

    Published 2024
    “…World Values Survey: Round Five - Country-Pooled Datafile. Madrid, Spain & Vienna, Austria: JD Systems Institute & WVSA Secretariat. doi.org/10.14281/18241.7 ; https://www.worldvaluessurvey.org/WVSDocumentationWV5.jsp</p><p dir="ltr"><b>Replication code</b>: Zsófia Papp</p><p dir="ltr"><b>Software</b>: R 4.3.2</p><p dir="ltr"><br></p>…”
  5. 148865

    Data_Sheet_1_Controls on the Silicon Isotope Composition of Diatoms in the Peruvian Upwelling.PDF by Patricia Grasse (11036910)

    Published 2021
    “…In contrast, δ<sup>30</sup>Si<sub>dSi</sub> and δ<sup>30</sup>Si<sub>bSi</sub> signatures were similar in the subsurface waters of the oxygen minimum zone (OMZ) as a consequence of a decrease in δ<sup>30</sup>Si<sub>dSi</sub>. …”
  6. 148866

    Association of favipiravir with outcomes. by Martin Modrák (5101439)

    Published 2021
    “…The “Suspicious” section shows models that were found to not fit the data well or have computational issues—see supplementary statistical analysis for details. Each row represents a model—Categorical All/7/28 = Bayesian categorical regression for state at last observed day/day 7/day 28, Binary All/7/28 = Bayesian logistic regression for state at last observed day/day 7/day 28, Bayes Cox = Bayesian version of the Cox proportional hazards model with a binary outcome, Cox (single) = frequentist Cox model with a binary outcome, Cox (competing) = frequentist Cox model using competing risks (as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1a</a>), HMM A = Bayesian hidden-Markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1b</a> with predictors for rate groups, HMM B = Bayesian hidden-markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1b</a> with predictors for individual rates, HMM C = Bayesian hidden-Markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1c</a>. …”
  7. 148867

    Association of azithromycin with outcomes. by Martin Modrák (5101439)

    Published 2021
    “…The “Suspicious” section shows models that were found to not fit the data well or have computational issues—see supplementary statistical analysis for details. Each row represents a model—Categorical All/7/28 = Bayesian categorical regression for state at last observed day/day 7/day 28, Binary All/7/28 = Bayesian logistic regression for state at last observed day/day 7/day 28, Bayes Cox = Bayesian version of the Cox proportional hazards model with a binary outcome, Cox (single) = frequentist Cox model with a binary outcome, Cox (competing) = frequentist Cox model using competing risks (as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1a</a>), HMM A = Bayesian hidden-Markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1b</a> with predictors for rate groups, HMM B = Bayesian hidden-markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1b</a> with predictors for individual rates, HMM C = Bayesian hidden-Markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1c</a>. …”
  8. 148868

    Association of HCQ with outcomes. by Martin Modrák (5101439)

    Published 2021
    “…The “Suspicious” section shows models that were found to not fit the data well or have computational issues—see supplementary statistical analysis for details. Each row represents a model—Categorical All/7/28 = Bayesian categorical regression for state at last observed day/day 7/day 28, Binary All/7/28 = Bayesian logistic regression for state at last observed day/day 7/day 28, Bayes Cox = Bayesian version of the Cox proportional hazards model with a binary outcome, Cox (single) = frequentist Cox model with a binary outcome, Cox (competing) = frequentist Cox model using competing risks (as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1a</a>), HMM A = Bayesian hidden-Markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1b</a> with predictors for rate groups, HMM B = Bayesian hidden-markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1b</a> with predictors for individual rates, HMM C = Bayesian hidden-Markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1c</a>. …”
  9. 148869

    Fig 3 - by Elizabeth M. Adamowicz (8817989)

    Published 2020
    “…<i>enterica</i> under rifampicin selection, but at much lower frequencies in co-culture (<b><a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1008700#ppat.1008700.s001" target="_blank">S1 Table</a>, <a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1008700#ppat.1008700.s004" target="_blank">S2 Fig</a></b>). …”
  10. 148870

    Table_1_Association Between Oxygen Partial Pressure Trajectories and Short-Term Outcomes in Patients With Hemorrhagic Brain Injury.DOCX by Guolong Cai (6949547)

    Published 2021
    “…However, PaO<sub>2</sub> in patients with Traj-2 decreased more rapidly than in patients with Traj-3. …”
  11. 148871

    Data_Sheet_1_Temporal patterns of endophytic microbial heterogeneity across distinct ecological compartments within the Panax ginseng root system following deforestation for cultiv... by Zhenting Shi (17781033)

    Published 2024
    “…AN, TK, OP, SWC and EC were the main driving factors of endophytic flora of ginseng root. Tetracladium decreased with the increase of cultivation years, and the decrease was more significant in phloem (F4R: 33.36%, F5R: 16.48%). …”
  12. 148872

    Image_2_CD209/CD14+ Dendritic Cells Characterization in Rheumatoid and Psoriatic Arthritis Patients: Activation, Synovial Infiltration, and Therapeutic Targeting.tif by Viviana Marzaioli (3484127)

    Published 2022
    “…Furthermore, we demonstrated that JAK/STAT inhibition can be used as a therapeutic strategy to decrease the inflammatory state of the pathogenic CD209/CD14<sup>+</sup> DC.…”
  13. 148873

    Image_3_CD209/CD14+ Dendritic Cells Characterization in Rheumatoid and Psoriatic Arthritis Patients: Activation, Synovial Infiltration, and Therapeutic Targeting.tif by Viviana Marzaioli (3484127)

    Published 2022
    “…Furthermore, we demonstrated that JAK/STAT inhibition can be used as a therapeutic strategy to decrease the inflammatory state of the pathogenic CD209/CD14<sup>+</sup> DC.…”
  14. 148874

    Image_5_CD209/CD14+ Dendritic Cells Characterization in Rheumatoid and Psoriatic Arthritis Patients: Activation, Synovial Infiltration, and Therapeutic Targeting.tif by Viviana Marzaioli (3484127)

    Published 2022
    “…Furthermore, we demonstrated that JAK/STAT inhibition can be used as a therapeutic strategy to decrease the inflammatory state of the pathogenic CD209/CD14<sup>+</sup> DC.…”
  15. 148875

    Image_1_CD209/CD14+ Dendritic Cells Characterization in Rheumatoid and Psoriatic Arthritis Patients: Activation, Synovial Infiltration, and Therapeutic Targeting.tif by Viviana Marzaioli (3484127)

    Published 2022
    “…Furthermore, we demonstrated that JAK/STAT inhibition can be used as a therapeutic strategy to decrease the inflammatory state of the pathogenic CD209/CD14<sup>+</sup> DC.…”
  16. 148876

    Image_4_CD209/CD14+ Dendritic Cells Characterization in Rheumatoid and Psoriatic Arthritis Patients: Activation, Synovial Infiltration, and Therapeutic Targeting.tif by Viviana Marzaioli (3484127)

    Published 2022
    “…Furthermore, we demonstrated that JAK/STAT inhibition can be used as a therapeutic strategy to decrease the inflammatory state of the pathogenic CD209/CD14<sup>+</sup> DC.…”
  17. 148877

    <i>nowl</i> and <i>Nf1</i> interact in the regulation of sleep. by Gianna W. Maurer (6103637)

    Published 2020
    “…Additional effector line controls (<i>nowl-RNAi/+</i>, <i>Nf1-RNAi/+</i>, and <i>Nf1/+</i>) are shown in <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1008727#pgen.1008727.s008" target="_blank">S8 Fig</a> Genotypes that are indicated as different from the <i>elav>+</i> controls are also statistically different (P< 0.05) from controls shown in <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1008727#pgen.1008727.s008" target="_blank">S8 Fig</a> (D) Daily sleep profiles of double-knockdown male animals (<i>elav>Nf1-RNAi</i>, <i>nowl-RNAi</i>) display a pronounced decrease in sleep. …”
  18. 148878

    ATF1 regulates GC-2 cell apoptosis and changes the bcl-2/bax ratio. by Xiaoxuan Liang (172307)

    Published 2013
    “…Each bar presents the mean ± S.E.M from three samples for each group. (**<i>P</i><0.01, ***<i>P</i><0.001).…”
  19. 148879

    Model architecture and dynamics. by Kai Ueltzhöffer (754206)

    Published 2015
    “…The cross-sections along those paths resemble closely the one-dimensional potential sketches often found in the literature discussing the possible effects of attractor stability on cognition [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004331#pcbi.1004331.ref018" target="_blank">18</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004331#pcbi.1004331.ref019" target="_blank">19</a>]; compare <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004331#pcbi.1004331.g001" target="_blank">Fig 1</a>. …”
  20. 148880