Showing 10,061 - 10,080 results of 55,104 for search '(( a ((mean decrease) OR (linear decrease)) ) OR ( a ((greater decrease) OR (largest decrease)) ))', query time: 0.87s Refine Results
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    Knockdown of MUC16 results in decreased tight junction function and ZO-1/occludin expression, whereas knockdown of MUC1 has no effect on tight junctions. by Ilene K. Gipson (178895)

    Published 2014
    “…<p>(A) Immunofluorescence analysis of occludin localization demonstrated normal linear distribution of occludin in the MUC16 scrambled control (scr16) cells (A) as compared to the disrupted localization seen in the shMUC16 cells (B). …”
  6. 10066

    Drying Contraction Assessment of Ceramic Products Produced by Extrusion or Pressing Formulated with Sheep Wool Waste by Cristiano Corrêa Ferreira (5110088)

    Published 2018
    “…<div><p>The main aim of this paper was to evaluate ceramic products containing a percentage of ash from sheep wool waste through drying linear shrinkage from a small brickyard in Bagé - RS. …”
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    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. …”
  11. 10071

    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. …”
  12. 10072

    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. …”
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    Significant repeated measurements sEMG outcomes. by María Benito-de-Pedro (22057468)

    Published 2025
    “…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …”
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    Maximum voluntary contraction assessment. by María Benito-de-Pedro (22057468)

    Published 2025
    “…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …”
  17. 10077

    Significant single measurement sEMG outcomes. by María Benito-de-Pedro (22057468)

    Published 2025
    “…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …”
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    DataSheet1_Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources.ZIP by Gabriella Gálffy (177759)

    Published 2024
    “…The COVID-19 pandemic resulted in a statistically significant decrease in lung cancer incidence, especially in the 50–59 age group (both sexes).…”
  20. 10080

    Image_3_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.TIF by Iulian Gabur (11720927)

    Published 2022
    “…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”