Showing 3,721 - 3,740 results of 4,065 for search 'significant ((((((shape decrease) OR (step decrease))) OR (nn decrease))) OR (mean decrease))', query time: 0.53s Refine Results
  1. 3721

    Figure 2 from Targeting PRMT1 Reduces Cancer Persistence and Tumor Relapse in <i>EGFR</i>- and <i>KRAS</i>-Mutant Lung Cancer by Xiaoxiao Sun (20589448)

    Published 2025
    “…<p>PRMT1 knockdown decreases persistence in STAT1-high <i>EGFR</i><sup><i>mut</i></sup> and <i>KRAS</i><sup><i>G12C</i></sup> lung cancer cell lines. …”
  2. 3722

    Table 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  3. 3723

    Image 3_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  4. 3724

    Table 1_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  5. 3725

    Image 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  6. 3726

    Table 3_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  7. 3727

    Image 1_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  8. 3728

    Image 8_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  9. 3729

    Image 6_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  10. 3730

    Image 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  11. 3731

    Image 7_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  12. 3732

    Image 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  13. 3733

    Table 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  14. 3734

    Table 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

    Published 2025
    “…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”
  15. 3735

    <b>The moderating effect of financial literacy on risk preferences and time preferences</b> by Calvin Mudzingiri (22188109)

    Published 2025
    “…Additionally, the study concluded that time preferences significantly moderate financial literacy. An increase in financial literacy is associated with a decrease in time preferences, indicating that as financial literacy rises, subjects become more patient. …”
  16. 3736

    Numerical Study of the Mechanical Properties and Failure Mechanisms of Shale Under Different Loading Conditions by Tianran Lin (21099298)

    Published 2025
    “…The results reveal the following key findings: (1) With an increase in the bedding angle, the uniaxial compressive strength of shale shows a U-shaped change trend, while the tensile strength gradually decreases. …”
  17. 3737

    Data Sheet 1_Prevalence trends, population characteristics and treatment outcomes of tuberculosis combined with diabetes in Southwest China: a register-based retrospective study.do... by Deliang Kong (382201)

    Published 2024
    “…PTB-DM patients were characterized by a higher proportion of males and older adult individuals, the age range of the patients was 11 ~ 100 years, with a mean age of 58.21 ± 12.02 years, with multiple positive aetiological results, and lower rates of proactive medical consultation. …”
  18. 3738

    MLN IFN- by Jessica Belmares-Ortega (21212731)

    Published 2025
    “…<p><b>γ</b><b>production is decreased in the absence of MyD88 and</b><b>αβ</b><b>T cells.…”
  19. 3739

    Supporting data for "The Mediating and Moderating Factors in the Association between Tooth Loss and Cognitive Decline" by Huimin Chen (12992361)

    Published 2025
    “…Notably, cholesterol, CRP, and albumin did not show significant involvement in shaping the connection between tooth loss and cognitive function.…”
  20. 3740

    Reduced expression of MYBPC3 mRNA and cMyBP-C protein in the proband. by Yuanyuan Zhang (101797)

    Published 2025
    “…<p>(A) RT-qPCR analysis showing significantly decreased MYBPC3 mRNA levels in cardiac sample from the proband compared to control subjects. …”