Showing 10,561 - 10,580 results of 226,405 for search '(( a ((((mean decrease) OR (a decrease))) OR (linear decrease)) ) OR ( a large decrease ))', query time: 1.94s Refine Results
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    DataSheet_1_Downregulation of miR-146a Contributes to Cardiac Dysfunction Induced by the Tyrosine Kinase Inhibitor Sunitinib.pdf by Li Shen (110858)

    Published 2019
    “…Therefore, we analyzed the differential expression of miRNAs in the myocardium in mice after exposure to sunitinib using miRNA microarray. A significant downregulation of miR-146a was observed in the myocardium of sunitinib-treated mice, along with a 20% decrease in left ventricle ejection fraction (LVEF). …”
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    Image1_Activation of AMP-Activated Protein Kinase-Sirtuin 1 Pathway Contributes to Salvianolic Acid A-Induced Browning of White Adipose Tissue in High-Fat Diet Fed Male Mice.pdf by Jianfei Lai (9704819)

    Published 2021
    “…While a few studies have reported anti-obesity properties of Sal A, the underlying mechanisms are largely unknown. …”
  8. 10568

    Image2_Activation of AMP-Activated Protein Kinase-Sirtuin 1 Pathway Contributes to Salvianolic Acid A-Induced Browning of White Adipose Tissue in High-Fat Diet Fed Male Mice.tif by Jianfei Lai (9704819)

    Published 2021
    “…While a few studies have reported anti-obesity properties of Sal A, the underlying mechanisms are largely unknown. …”
  9. 10569

    Table1_Activation of AMP-Activated Protein Kinase-Sirtuin 1 Pathway Contributes to Salvianolic Acid A-Induced Browning of White Adipose Tissue in High-Fat Diet Fed Male Mice.DOCX by Jianfei Lai (9704819)

    Published 2021
    “…While a few studies have reported anti-obesity properties of Sal A, the underlying mechanisms are largely unknown. …”
  10. 10570

    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. 10571

    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. 10572

    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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    Pharmacodynamic Profile of CCX168 in Healthy Human Volunteers. by Pirow Bekker (392139)

    Published 2016
    “…CD11b upregulation was diminished in both blood samples from CCX168 subjects with a 10-fold decrease in C5a potency exhibited in the 12-hour samples.…”
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    Image 1_Temperature changes are signaled in cyanobacteria through the PipX interaction network.tif by Antonio Llop (11816525)

    Published 2025
    “…Here we exploit the NanoBiT complementation system to demonstrate in real time that temperature affects PipX interactions with its best studied partners: the signal transduction protein PII, the global transcriptional regulator NtcA, and the ribosome-assembly GTPase EngA. While heat shock increased PipX-PII complex formation and impaired PipX-EngA and PipX-NtcA interactions, temperature downshift resulted in a decrease of all three complexes. …”