Showing 1,161 - 1,180 results of 1,576 for search 'significantly ((((greatest decrease) OR (nn decrease))) OR (linear decrease))', query time: 0.47s Refine Results
  1. 1161

    Table 1_Relationship between advanced lung cancer inflammation index and all-cause and cause-specific mortality among chronic inflammatory airway diseases patients: a population-ba... by Zhuanbo Luo (378365)

    Published 2025
    “…An elevated ALI was significantly related to a decreased risk of all-cause mortality, as well as mortality from cardiovascular and respiratory diseases among CIAD patients. …”
  2. 1162

    Table 1_A genome-wide shRNA screen uncovers a novel potential ligand for NK cell activating receptors.docx by Paolo Romania (399007)

    Published 2025
    “…Among them, the placenta-specific 1 (PLAC1) gene stood out, as its inhibition conferred the greatest protection to target cells from NK cell lysis, while overexpression of PLAC1 significantly increased NK cell degranulation. …”
  3. 1163

    Image 3_A genome-wide shRNA screen uncovers a novel potential ligand for NK cell activating receptors.jpg by Paolo Romania (399007)

    Published 2025
    “…Among them, the placenta-specific 1 (PLAC1) gene stood out, as its inhibition conferred the greatest protection to target cells from NK cell lysis, while overexpression of PLAC1 significantly increased NK cell degranulation. …”
  4. 1164

    Image 1_A genome-wide shRNA screen uncovers a novel potential ligand for NK cell activating receptors.jpg by Paolo Romania (399007)

    Published 2025
    “…Among them, the placenta-specific 1 (PLAC1) gene stood out, as its inhibition conferred the greatest protection to target cells from NK cell lysis, while overexpression of PLAC1 significantly increased NK cell degranulation. …”
  5. 1165

    Image 4_A genome-wide shRNA screen uncovers a novel potential ligand for NK cell activating receptors.jpg by Paolo Romania (399007)

    Published 2025
    “…Among them, the placenta-specific 1 (PLAC1) gene stood out, as its inhibition conferred the greatest protection to target cells from NK cell lysis, while overexpression of PLAC1 significantly increased NK cell degranulation. …”
  6. 1166

    Table 2_A genome-wide shRNA screen uncovers a novel potential ligand for NK cell activating receptors.docx by Paolo Romania (399007)

    Published 2025
    “…Among them, the placenta-specific 1 (PLAC1) gene stood out, as its inhibition conferred the greatest protection to target cells from NK cell lysis, while overexpression of PLAC1 significantly increased NK cell degranulation. …”
  7. 1167

    Data Sheet 6_A genome-wide shRNA screen uncovers a novel potential ligand for NK cell activating receptors.pdf by Paolo Romania (399007)

    Published 2025
    “…Among them, the placenta-specific 1 (PLAC1) gene stood out, as its inhibition conferred the greatest protection to target cells from NK cell lysis, while overexpression of PLAC1 significantly increased NK cell degranulation. …”
  8. 1168

    Data Sheet 4_A genome-wide shRNA screen uncovers a novel potential ligand for NK cell activating receptors.pdf by Paolo Romania (399007)

    Published 2025
    “…Among them, the placenta-specific 1 (PLAC1) gene stood out, as its inhibition conferred the greatest protection to target cells from NK cell lysis, while overexpression of PLAC1 significantly increased NK cell degranulation. …”
  9. 1169

    Data Sheet 3_A genome-wide shRNA screen uncovers a novel potential ligand for NK cell activating receptors.pdf by Paolo Romania (399007)

    Published 2025
    “…Among them, the placenta-specific 1 (PLAC1) gene stood out, as its inhibition conferred the greatest protection to target cells from NK cell lysis, while overexpression of PLAC1 significantly increased NK cell degranulation. …”
  10. 1170

    Data Sheet 5_A genome-wide shRNA screen uncovers a novel potential ligand for NK cell activating receptors.pdf by Paolo Romania (399007)

    Published 2025
    “…Among them, the placenta-specific 1 (PLAC1) gene stood out, as its inhibition conferred the greatest protection to target cells from NK cell lysis, while overexpression of PLAC1 significantly increased NK cell degranulation. …”
  11. 1171

    Image 2_A genome-wide shRNA screen uncovers a novel potential ligand for NK cell activating receptors.jpg by Paolo Romania (399007)

    Published 2025
    “…Among them, the placenta-specific 1 (PLAC1) gene stood out, as its inhibition conferred the greatest protection to target cells from NK cell lysis, while overexpression of PLAC1 significantly increased NK cell degranulation. …”
  12. 1172

    Table1_Cognitive performance in ISS astronauts on 6-month low earth orbit missions.docx by Sheena I. Dev (20293434)

    Published 2024
    “…., pre-flight) performance. Linear mixed models with random subject intercepts and pairwise comparisons examined the relationships between mission phase and cognitive performance.…”
  13. 1173

    Image1_Cognitive performance in ISS astronauts on 6-month low earth orbit missions.pdf by Sheena I. Dev (20293434)

    Published 2024
    “…., pre-flight) performance. Linear mixed models with random subject intercepts and pairwise comparisons examined the relationships between mission phase and cognitive performance.…”
  14. 1174

    Data Sheet 1_Hemodynamic changes and their relationship with white matter hyperintensities in CSVD patients with cognitive impairment: a 4D flow study.pdf by Jiajun Cao (11560062)

    Published 2025
    “…</p>Results<p>The CSVD with CI population reported a statistically significant decrease in flow rate, blood flow velocity, and WSS, as well as an increase in PI, RI, CSF flow quantity, and velocity compared to age-matched cognitively healthy control participants. …”
  15. 1175

    Data Sheet 1_Acute effect of endurance exercise on human milk insulin concentrations: a randomised cross-over study.pdf by Rebecca Lyng Holm (20620406)

    Published 2025
    “…Circulating levels of insulin decrease acutely after exercise, but no prior study has investigated the acute effect of exercise on human milk insulin concentrations. …”
  16. 1176

    Figure 3 from Mucosal Microbiome Markers of Complete Pathologic Response to Neoadjuvant Therapy in Rectal Carcinoma by Ibrahim M. Abukhiran (21244578)

    Published 2025
    “…<p>Mucosal microbiome α diversity is decreased with high radiation injury histology score. …”
  17. 1177

    Table 1_Plant-based diets and total and cause-specific mortality: a meta-analysis of prospective studies.docx by Qiwang Mo (9091292)

    Published 2025
    “…Participants in the highest quintile of both the PDI and hPDI had a significantly decreased risk of all-cause mortality (pooled HR<sub>PDI</sub> = 0.85; 95% CI: 0.80–0.90; pooled HR<sub>hPDI</sub> = 0.86; 95% CI: 0.81–0.92) compared to participants in the lowest quintile. …”
  18. 1178

    Image 2_Plant-based diets and total and cause-specific mortality: a meta-analysis of prospective studies.tif by Qiwang Mo (9091292)

    Published 2025
    “…Participants in the highest quintile of both the PDI and hPDI had a significantly decreased risk of all-cause mortality (pooled HR<sub>PDI</sub> = 0.85; 95% CI: 0.80–0.90; pooled HR<sub>hPDI</sub> = 0.86; 95% CI: 0.81–0.92) compared to participants in the lowest quintile. …”
  19. 1179

    Image 1_Plant-based diets and total and cause-specific mortality: a meta-analysis of prospective studies.tif by Qiwang Mo (9091292)

    Published 2025
    “…Participants in the highest quintile of both the PDI and hPDI had a significantly decreased risk of all-cause mortality (pooled HR<sub>PDI</sub> = 0.85; 95% CI: 0.80–0.90; pooled HR<sub>hPDI</sub> = 0.86; 95% CI: 0.81–0.92) compared to participants in the lowest quintile. …”
  20. 1180

    Table 2_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

    Published 2025
    “…The RQR was calculated as the quantification of A. baumannii determined by QtNGS after treatment to pretreatment. RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”