Showing 39,841 - 39,860 results of 104,446 for search '(( a step decrease ) OR ( 5 ((point decrease) OR (((mean decrease) OR (a decrease)))) ))', query time: 1.65s Refine Results
  1. 39841

    A catalogue of dynamic, non-linear genetic effects in gene response following rapamycin treatment in yeast. by Avital Brodt (669454)

    Published 2014
    “…Middle: genetic effect profiles of the representative gene, averaged across strains (log-scaled, <i>y</i>-axis) at each time point (<i>x</i>-axis). Right: shown are mean genetic effects (relative to non-stimulated cells, log-scaled; <i>y</i>-axis) and standard deviation (error bars) across time points (<i>x</i>-axis) for a certain group of genes.…”
  2. 39842

    Table6_Transcriptomic analysis identified SLC40A1 as a key iron metabolism-related gene in airway macrophages in childhood allergic asthma.XLSX by Zhili Wang (535482)

    Published 2023
    “…Results further indicated reduced iron levels in the BAL fluid, but increased iron accumulation in BAL cells in childhood allergic asthma patients. Furthermore, decreased expression of SLC40A1 was closely correlated with reduced iron levels in the airways of children with allergic asthma.…”
  3. 39843

    Table2_Transcriptomic analysis identified SLC40A1 as a key iron metabolism-related gene in airway macrophages in childhood allergic asthma.CSV by Zhili Wang (535482)

    Published 2023
    “…Results further indicated reduced iron levels in the BAL fluid, but increased iron accumulation in BAL cells in childhood allergic asthma patients. Furthermore, decreased expression of SLC40A1 was closely correlated with reduced iron levels in the airways of children with allergic asthma.…”
  4. 39844

    Table4_Transcriptomic analysis identified SLC40A1 as a key iron metabolism-related gene in airway macrophages in childhood allergic asthma.XLSX by Zhili Wang (535482)

    Published 2023
    “…Results further indicated reduced iron levels in the BAL fluid, but increased iron accumulation in BAL cells in childhood allergic asthma patients. Furthermore, decreased expression of SLC40A1 was closely correlated with reduced iron levels in the airways of children with allergic asthma.…”
  5. 39845

    Table3_Transcriptomic analysis identified SLC40A1 as a key iron metabolism-related gene in airway macrophages in childhood allergic asthma.CSV by Zhili Wang (535482)

    Published 2023
    “…Results further indicated reduced iron levels in the BAL fluid, but increased iron accumulation in BAL cells in childhood allergic asthma patients. Furthermore, decreased expression of SLC40A1 was closely correlated with reduced iron levels in the airways of children with allergic asthma.…”
  6. 39846

    Table1_Transcriptomic analysis identified SLC40A1 as a key iron metabolism-related gene in airway macrophages in childhood allergic asthma.DOC by Zhili Wang (535482)

    Published 2023
    “…Results further indicated reduced iron levels in the BAL fluid, but increased iron accumulation in BAL cells in childhood allergic asthma patients. Furthermore, decreased expression of SLC40A1 was closely correlated with reduced iron levels in the airways of children with allergic asthma.…”
  7. 39847
  8. 39848

    Sensitivity-Controllable Liquid-Metal-Based Pressure Sensor for Wearable Applications by Osman Gul (11302760)

    Published 2021
    “…Integration of E-bumps has increased the average sensitivity of the sensor to 0.0727 kPa<sup>–1</sup> (5.43 times higher), and A-bump integration has decreased the average sensitivity to 0.0004 Pa<sup>–1</sup> (91.65 times lower) in the range of 0–50 kPa, as compared to the pressure sensor without any microbumps. …”
  9. 39849

    Sensitivity-Controllable Liquid-Metal-Based Pressure Sensor for Wearable Applications by Osman Gul (11302760)

    Published 2021
    “…Integration of E-bumps has increased the average sensitivity of the sensor to 0.0727 kPa<sup>–1</sup> (5.43 times higher), and A-bump integration has decreased the average sensitivity to 0.0004 Pa<sup>–1</sup> (91.65 times lower) in the range of 0–50 kPa, as compared to the pressure sensor without any microbumps. …”
  10. 39850

    Cross-sections through blood volume and blood oxygenation at baseline in a KS lesion. by Jana M. Kainerstorfer (389963)

    Published 2013
    “…The average of 5 cross sections for blood volume (b) shows the typical increase and for oxygenation (d) shows a decrease inside the lesion area. …”
  11. 39851
  12. 39852

    Effects of the structure-based peptides on <i>C</i>. <i>elegans</i> survival infected by <i>P</i>. <i>aeruginosa</i>. by Yichen Zhang (473963)

    Published 2018
    “…<p>(<b>A</b>) The T2SS is critical to the virulence of <i>P</i>. …”
  13. 39853
  14. 39854

    2-DOG blocks Aβ-induced neuronal ROS formation. by Leonardo M. Saraiva (358796)

    Published 2013
    “…Glucose-6P levels were measured in control cortical neurons or neurons exposed to 5 µM Aβ+30 mM 2-DOG or 30 mM 2-DOG. Values represent means ± SD from three experiments (carried out in duplicate) using independent neuronal cultures. (*) indicates a statistically significant (p<0.001) difference relative to control cultures.…”
  15. 39855

    Operating conditions of MEC reactor. by Han Li (10885)

    Published 2023
    “…The optimal voltages for denitrification of reflux sludge, aeration tank sludge, and root soil were 0.7V, 0.5V, and 0.5V, respectively. Further analysis revealed that the respective voltages had a significant effect upon microbial growth from the respective inoculates. …”
  16. 39856
  17. 39857
  18. 39858
  19. 39859

    Relationship between articular eminence inclination and alterations of the mandibular condyle: a CBCT study by Saione Cruz SA (12806146)

    Published 2022
    “…However, the presence of two or more DBDs led to a decrease in the angle (p<0.05). Angled condyles showed higher AE angulations than the flat and convex types (p<0.01). …”
  20. 39860

    Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

    Published 2025
    “…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m<sup>2</sup> (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”