Showing 8,881 - 8,900 results of 9,617 for search 'significantly ((((((greater decrease) OR (we decrease))) OR (nn decrease))) OR (observed decrease))', query time: 0.65s Refine Results
  1. 8881

    Image 1_Cancer-associated fibroblasts gene signature: a novel approach to survival prediction and immunotherapy guidance in colon cancer.tif by Wenbing Zhang (152972)

    Published 2025
    “…A higher immune infiltration rate and lower IC50 values of anticancer drugs were significant in the high-risk group. In cellular experiments, Following MAN1B1 knockdown, in cell assays, the colony formation, migration, and invasion ability of HCT116 and HT29 cell lines decreased.…”
  2. 8882

    Aquaporin and red cell O2 permeability by S. Al-Samir (20965502)

    Published 2025
    “…We find that at 7°/10°C lack of AQP1 in the red cell membrane causes significant reductions of PO2, by 20% in human and by 37% in mouse red cells. …”
  3. 8883

    Data Sheet 1_Global, regional, and national epidemiology of otitis media in children from 1990 to 2021.docx by HanYu Wang (16362600)

    Published 2025
    “…Key risk factors identified include secondhand smoke, particulate matter pollution, low birth weight, and short gestation. Additionally, a significant inverse association was found between the SDI and the burden of OM, with age-standardized DALY rates decreasing markedly as SDI increased.…”
  4. 8884

    Image 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  5. 8885

    Table 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  6. 8886

    Table 8_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  7. 8887

    Data Sheet 1_α-Mangostin prevents diabetic cardiomyopathy by inhibiting oxidative damage and lipotoxicity through the AKT–FOXO1–CD36 pathway.pdf by Xue Bai (129175)

    Published 2025
    “…Oxidative stress and lipid metabolism disorder-induced myocardial cell damage are part of the pathogenesis of DCM. In this study, we investigated the effects of alpha-mangostin (A-MG), a natural antioxidant extracted from mangosteen peel, on in vitro and in vivo DCM models.…”
  8. 8888

    Table 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  9. 8889

    Table 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  10. 8890
  11. 8891

    Image 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  12. 8892

    Table 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  13. 8893

    Table 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  14. 8894

    Image 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  15. 8895

    Image 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tiff by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  16. 8896

    Table 7_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  17. 8897

    Table 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  18. 8898

    Image 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  19. 8899

    Image 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

    Published 2025
    “…These subtypes exhibited significantly different distributions between AF and SR. …”
  20. 8900

    Effects of liposomal bupivacaine (LB) and provider experience with LB on service utilization, clinical outcomes, and Medicare expenditures among fee-for-service (FFS) beneficiaries by Sarmistha Pal (13348959)

    Published 2025
    “…</p><p>Using an IPTW propensity score model and associated outcome regressions we find that both LB use and provider LB use rate had a statistically significant impact on reducing total Medicare expenditures per patient per 180-day episode ($245 and $258 respectively, p < 0.01), with the most significant reduction in spending for Inpatient and SNF care settings. …”