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Showing 621 - 640 results of 12,723 for search '(( significant decrease decrease ) OR ( significant increase decrease ))~', query time: 0.37s Refine Results
  1. 621
    Effects of allopurinol on PG-LPS-induced increases in NOX4

    Effects of allopurinol on PG-LPS-induced increases in NOX4 by Akinaka Morii (12709672)

    Published 2025
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  2. 622
    BPCA ratios and proxies evaluated in this study. The variable <i>n</i> in the equation for the Average CAS refers to the number of carboxylic acid substitutions (3, 4, 5 or 6). The “expected correlations” column details the trends anticipated for the values yielded by the ratio or proxy as a function of pyrolysis temperature, with implications for aromaticity and aromatic condensation. For instance, with hotter pyrolysis temperatures (red arrow), the average CAS should increase. This is indicative of increased aromaticity (“+ arom”) and increased aromatic condensation (“+ cond”). Blue arrows indicate decreasing or cooler pyrolysis temperatures.<b> </b><i> </i>

    BPCA ratios and proxies evaluated in this study. The variable <i>n</i> in the equation for the Average CAS refers to the number of carboxylic acid substitutions (3, 4, 5 or 6). The... by Ivy Notterpek (21368133)

    Published 2025
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  3. 623
    Differences in the effect of microcredit on the income increase of poverty-alleviated population under different production scales.

    Differences in the effect of microcredit on the income increase of poverty-alleviated population under different production scales. by Yin Liu (50073)

    Published 2025
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  4. 624
    Measurement of inflammatory cytokines in liver and heart tissues.

    Measurement of inflammatory cytokines in liver and heart tissues. by Ayça Toprak-Semiz (22582110)

    Published 2025
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  5. 625
    Comparison results for median (25th percentile-75th percentile) damage degree scores for liver and heart tissues.

    Comparison results for median (25th percentile-75th percentile) damage degree scores for liver and heart tissues. by Ayça Toprak-Semiz (22582110)

    Published 2025
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  6. 626
    Comparison results for n (%) of damage degree scores for liver and heart tissues.

    Comparison results for n (%) of damage degree scores for liver and heart tissues. by Ayça Toprak-Semiz (22582110)

    Published 2025
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  7. 627
    Histopathological appearance of the liver.

    Histopathological appearance of the liver. by Ayça Toprak-Semiz (22582110)

    Published 2025
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  8. 628
    Histopathological appearance of the heart.

    Histopathological appearance of the heart. by Ayça Toprak-Semiz (22582110)

    Published 2025
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  9. 629
    Effects of HFCS and hazelnut on food intake, liquid intake and body weights in groups of rats.

    Effects of HFCS and hazelnut on food intake, liquid intake and body weights in groups of rats. by Ayça Toprak-Semiz (22582110)

    Published 2025
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  10. 630
    Effects of HFCS and hazelnut on biochemical parameters in groups of rats.

    Effects of HFCS and hazelnut on biochemical parameters in groups of rats. by Ayça Toprak-Semiz (22582110)

    Published 2025
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  11. 631
    Tourism determinants’ marginal effects.

    Tourism determinants’ marginal effects. by Sakar Hasan Hamza (20978818)

    Published 2025
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  12. 632
    A spatial Durbin model compared to a spatial error and lag model.

    A spatial Durbin model compared to a spatial error and lag model. by Sakar Hasan Hamza (20978818)

    Published 2025
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  13. 633
    Descriptive statistics from 2005 to 2018.

    Descriptive statistics from 2005 to 2018. by Sakar Hasan Hamza (20978818)

    Published 2025
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  14. 634
    Models 7 to 12: estimation results.

    Models 7 to 12: estimation results. by Sakar Hasan Hamza (20978818)

    Published 2025
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  15. 635
    Evolution of health burden and life expectancy under different expenditure scenarios.

    Evolution of health burden and life expectancy under different expenditure scenarios. by Margherita Molaro (17803989)

    Published 2025
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  16. 636
    Capabilities expansion scenarios considered. <i><i>g</i></i><sub>GDP</sub> and <i><i>g</i></i><sub>fHE</sub> refer to the growth rate of annual GDP (in constant 2015 US$) and growth rate of fraction of GDP allocated to health (<i><i>f</i></i><sub>HE</sub>) assumed, leading to a yearly expenditure growth per scenario of [(1 + <i><i>g</i></i><sub>GDP</sub>) × (1 + <i><i>g</i></i><sub>fHE</sub>) − 1]. The normalised health expenditure (NHE) associated with each scenario (defined in

    Capabilities expansion scenarios considered. <i><i>g</i></i><sub>GDP</sub> and <i><i>g</i></i><sub>fHE</sub> refer to the growth rate of annual GDP (in constant 2015 US$) and growt... by Margherita Molaro (17803989)

    Published 2025
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  17. 637
    Scaling of overall health burden with yearly expenditure growth.

    Scaling of overall health burden with yearly expenditure growth. by Margherita Molaro (17803989)

    Published 2025
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  18. 638
    Models 1 to 6: estimation results.

    Models 1 to 6: estimation results. by Sakar Hasan Hamza (20978818)

    Published 2025
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  19. 639
    Impact on different areas of health.

    Impact on different areas of health. by Margherita Molaro (17803989)

    Published 2025
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  20. 640
    The LM test is used to determine whether models contain spatial lag or spatial error.

    The LM test is used to determine whether models contain spatial lag or spatial error. by Sakar Hasan Hamza (20978818)

    Published 2025
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