Showing 8,621 - 8,640 results of 45,062 for search '(( a ((peer decrease) OR (mean decrease)) ) OR ( i ((largest decrease) OR (larger decrease)) ))', query time: 0.89s Refine Results
  1. 8621

    OPJ: Origin data for Fig 2a. by Nacer Badi (14046883)

    Published 2024
    “…<div><p>In hot dry regions, photovoltaic modules are exposed to excessive temperatures, which leads to a drop in performance and the risk of overheating. …”
  2. 8622

    OPJ: Origin data for Fig 4a. by Nacer Badi (14046883)

    Published 2024
    “…<div><p>In hot dry regions, photovoltaic modules are exposed to excessive temperatures, which leads to a drop in performance and the risk of overheating. …”
  3. 8623
  4. 8624

    DataSheet2_Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources.xlsx by Gabriella Gálffy (177759)

    Published 2024
    “…Up until the COVID-19 pandemic, lung cancer incidence was decreasing by 3.18% (2.1%–4.3%) yearly in men, while there was no significant decrease in women. …”
  5. 8625
  6. 8626
  7. 8627

    Epigallocatechin-3-gallate (EGCG) reverses the hypoacetylation of AcH3 and AcH3K9 and inhibits HDAC1 binding near the <i>Atp2a2</i> promoter region in mouse cardiac tissue after he... by Lifei Liu (345404)

    Published 2018
    “…<p><b>A</b>) AcH3 binding near the <i>Atp2a2</i> promoter region was significantly decreased in the transverse aortic constriction (TAC) compared to that in the other groups, as assessed by ChIP-qPCR. …”
  8. 8628
  9. 8629

    Doxycycline modulates VEGF-A expression: Failure of doxycycline-inducible lentivirus shRNA vector to knockdown VEGF-A expression in transgenic mice - Fig 5 by Mari Merentie (4781907)

    Published 2018
    “…</b> VEGF-A mRNA levels were significantly decreased in endothelial cells 48–72 h after dox treatment with all used dox doses and already at 24 h with the highest dose of 1000 ng/ml (a). …”
  10. 8630

    HDAC1 knockdown significantly increases RGS10 expression while HDAC1 overexpression decreases RGS10 expression in chemoresistant ovarian cancer cells. by Ercan Cacan (393523)

    Published 2014
    “…Graphed data shows the average of three independent experiments, with error bars denoting standard error of the mean (SEM). Significance was calculated with a Student's t test **p<0.005. …”
  11. 8631
  12. 8632
  13. 8633

    Efficacy of transverse aortic constriction (TAC) operation in mice. by Lifei Liu (345404)

    Published 2018
    “…<b>D</b>) The transverse aorta diameter decreased significantly after the TAC operation with or without epigallocatechin-3-gallate (EGCG) treatment (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0205123#pone.0205123.s003" target="_blank">S1 Table</a>). …”
  14. 8634
  15. 8635
  16. 8636

    Assessment values of machine learning models. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
  17. 8637

    List of datasets in AqSolDB. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
  18. 8638

    Feature importance derived from SHAP analysis. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
  19. 8639
  20. 8640

    Comparing FEDoR with VCG and GSP in the mean utility of seller and player per auction. by Evgenia Christoforou (3168054)

    Published 2016
    “…(b) Scenarios with 3 slots and the players decreasing from 9 (line with largest slope) to 4 (line with smallest slope).…”