Showing 1,661 - 1,680 results of 2,946 for search 'significantly ((((linear decrease) OR (larger decrease))) OR (greater decrease))', query time: 0.43s Refine Results
  1. 1661

    Ketamine wash-in. by Anne S. Fleiner (20496284)

    Published 2025
    “…(ii) The change in post-burst spiking after the wash-in of 20 μM and 100 μM was not significant compared to the control (MWU test). However, the decrease in post-burst spiking was significantly larger after the wash-in of 100 μM ketamine than with 20 μM (MWU test). …”
  2. 1662

    Table 2_Oxphos targeting of MYCN-amplified neuroblastoma.xlsx by Soraya Epp (22489120)

    Published 2025
    “…Similarly to DPI, MitoQ appears to have a greater effect on cells with higher MYCN levels. Furthermore, low nanomolar concentrations of MitoQ significantly decrease MYCN protein expression and induce differentiation of MNA cells. …”
  3. 1663

    Table 1_Oxphos targeting of MYCN-amplified neuroblastoma.xlsx by Soraya Epp (22489120)

    Published 2025
    “…Similarly to DPI, MitoQ appears to have a greater effect on cells with higher MYCN levels. Furthermore, low nanomolar concentrations of MitoQ significantly decrease MYCN protein expression and induce differentiation of MNA cells. …”
  4. 1664

    Data Sheet 1_Oxphos targeting of MYCN-amplified neuroblastoma.pdf by Soraya Epp (22489120)

    Published 2025
    “…Similarly to DPI, MitoQ appears to have a greater effect on cells with higher MYCN levels. Furthermore, low nanomolar concentrations of MitoQ significantly decrease MYCN protein expression and induce differentiation of MNA cells. …”
  5. 1665

    Data Sheet 1_Concurrent training and intermittent fasting reduce transverse cross-sectional area of cardiomyocytes and body mass in Wistar rats.pdf by Henrique Izaias Marcelo (21810809)

    Published 2025
    “…</p>Results<p>For the variables body mass, feed consumption, and the anaerobic threshold, the FC group showed a greater decrease in the Lee index [(0.28 ± 0.00) p < 0.05)] in relation to the other groups. …”
  6. 1666

    Supplementary Material for: Exploring the ability of novel choroidal biomarkers in predicting treatment outcomes of polypoidal choroidal vasculopathy by Zhang Y. (2828780)

    Published 2024
    “…Results: A higher CVI at baseline was the only factor that correlated with the poor response after 3-monthly injections of anti-VEGF (P=0.038). The greater change of central macular thickness (CMT) was significantly correlated with increased CMT (P=0.030), decreased CT (P=0.042) and decreased CVI (p=0.038) at baseline. …”
  7. 1667

    Table 1_Genomic and phenotypic characterization of two novel human-derived Limosilactobacillus reuteri strains with unique probiotic traits.docx by Lijuan Yang (1538233)

    Published 2025
    “…In co-culture with LS174T cells, both strains decrease the production of Mucin-2, a key component of the gut barrier, with LLR2 showing significantly greater efficacy. …”
  8. 1668

    Data Sheet 1_Phyllotaxy and environmental factors influences on leaf trait dimensions in Fraxinus mandshurica: a multidimensional approach within temperate forests.docx by Mingyue Jin (257928)

    Published 2025
    “…</p>Results<p>We found that (1) specific leaf area and leaf nitrogen concentration significantly increase along the phyllotaxy gradient (from phyllotaxy 1 to 6), while leaf dry matter content, leaf thickness, and stomatal density significantly decrease. …”
  9. 1669

    Table 1_Assessing and projecting the global impacts of Alzheimer’s disease.docx by Nanlong Zhang (20563511)

    Published 2025
    “…</p>Conclusion<p>From 1990 to 2030, global burden of AD is projected to decrease, with significant gender and regional disparities. …”
  10. 1670

    Table 1_Associations between physical activity and cardiorespiratory fitness and adverse outcomes in patients with atrial fibrillation: a prospective cohort study.pdf by Yanwen Chen (460790)

    Published 2025
    “…To further examine the dose–response relationship, restricted cubic spline models were employed to assess potential non-linear associations.</p>Results<p>Increased total physical activity [hazard ratio (HR) = 0.978; 95% confidence interval (CI): 0.961–0.995, P = 0.011], moderate-to-vigorous PA (HR = 0.960; 95% CI: 0.929–0.992, P = 0.014), and moderate physical activity (MPA) (HR = 0.953; 95% CI: 0.918–0.990, P = 0.014) were significantly associated with a decreased risk of major adverse cardiovascular events, respectively. …”
  11. 1671

    Table 2_Associations between physical activity and cardiorespiratory fitness and adverse outcomes in patients with atrial fibrillation: a prospective cohort study.pdf by Yanwen Chen (460790)

    Published 2025
    “…To further examine the dose–response relationship, restricted cubic spline models were employed to assess potential non-linear associations.</p>Results<p>Increased total physical activity [hazard ratio (HR) = 0.978; 95% confidence interval (CI): 0.961–0.995, P = 0.011], moderate-to-vigorous PA (HR = 0.960; 95% CI: 0.929–0.992, P = 0.014), and moderate physical activity (MPA) (HR = 0.953; 95% CI: 0.918–0.990, P = 0.014) were significantly associated with a decreased risk of major adverse cardiovascular events, respectively. …”
  12. 1672

    Table 6_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  13. 1673

    Image 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  14. 1674

    Table 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  15. 1675

    Image 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  16. 1676

    Table 7_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  17. 1677

    Table 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  18. 1678

    Table 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  19. 1679

    Table 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  20. 1680

    Image 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”