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Showing 1,521 - 1,540 results of 21,342 for search '(( significant associations decrease ) OR ( significant decrease decrease ))', query time: 0.43s Refine Results
  1. 1521
    Weighted Quantile Sum model regression index weights for the MASLD.

    Weighted Quantile Sum model regression index weights for the MASLD. by Yuwei He (1565941)

    Published 2025
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  2. 1522
    The flowchart of the sample selection from NHANES 2007-2010, 2017-2018.

    The flowchart of the sample selection from NHANES 2007-2010, 2017-2018. by Yuwei He (1565941)

    Published 2025
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  3. 1523
    Additional file 9 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 9 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  4. 1524
    Additional file 8 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 8 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  5. 1525
    Supplementary Table S2 from Elevated Transglutaminase-2 in SOX10-Deficient Melanoma Promotes Tumor Onset and Decreases Intratumoral CD4<sup>+</sup> T Cells

    Supplementary Table S2 from Elevated Transglutaminase-2 in SOX10-Deficient Melanoma Promotes Tumor Onset and Decreases Intratumoral CD4<sup>+</sup> T Cells by Signe Caksa (16745174)

    Published 2025
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  6. 1526
    Additional file 7 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 7 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  7. 1527
    Additional file 11 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 11 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  8. 1528
    Additional file 10 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 10 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  9. 1529
    Disruption of the <i>pcnB</i> gene encoding poly(A) polymerase PAP I decreases pYV PCN as well as T3SS expression and activity.

    Disruption of the <i>pcnB</i> gene encoding poly(A) polymerase PAP I decreases pYV PCN as well as T3SS expression and activity. by Katherine Schubert (5452712)

    Published 2025
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  10. 1530
    Categorisation of districts based on type of correlation observed and results of Moran’s local test for spatial correlation of coefficients and lags.

    Categorisation of districts based on type of correlation observed and results of Moran’s local test for spatial correlation of coefficients and lags. by Gabriel Carrasco-Escobar (794055)

    Published 2025
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  11. 1531
    Examples of positive, negative, and neutral tweets. Each tweet is assigned to only one of the categories based on its sentiment score calculated by VADER.

    Examples of positive, negative, and neutral tweets. Each tweet is assigned to only one of the categories based on its sentiment score calculated by VADER. by Yuqi Zhang (286958)

    Published 2025
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  12. 1532
    Monthly volume distribution and sentiment score of five topic groups.

    Monthly volume distribution and sentiment score of five topic groups. by Yuqi Zhang (286958)

    Published 2025
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  13. 1533
    The sentiment score and number of tweets per month from 09/01/2018 to 01/31/2020.

    The sentiment score and number of tweets per month from 09/01/2018 to 01/31/2020. by Yuqi Zhang (286958)

    Published 2025
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  14. 1534
    The theme, top terms, and description of five topic groups.

    The theme, top terms, and description of five topic groups. by Yuqi Zhang (286958)

    Published 2025
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  15. 1535
    Volume distribution and sentiment of positive, negative, and neutral tweets.

    Volume distribution and sentiment of positive, negative, and neutral tweets. by Yuqi Zhang (286958)

    Published 2025
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  16. 1536
    S6 Dataset -

    S6 Dataset - by Rahmat Naddafi (373065)

    Published 2025
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  17. 1537
    Association between GSRS and CD8<sup>+</sup> T cell infiltration levels in the TCGA-KIRC cohort, and the infiltration proportion of CD8<sup>+</sup> T cells was evaluated using multiple deconvolution algorithms, including TIMER (A), CIBERSORT (B), QUANTISEQ (C), MCPCOUNTER (D), and XCELL (E).

    Association between GSRS and CD8<sup>+</sup> T cell infiltration levels in the TCGA-KIRC cohort, and the infiltration proportion of CD8<sup>+</sup> T cells was evaluated using mult... by Yu Zhang (12946)

    Published 2025
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  18. 1538
    Effect of DM, and/or <i>M. charantia</i> on the (I) number of corpuses lutea; (II) number of neonates, (III) weight of neonates; (IV) length of neonates levels in the control and different maternal groups.

    Effect of DM, and/or <i>M. charantia</i> on the (I) number of corpuses lutea; (II) number of neonates, (III) weight of neonates; (IV) length of neonates levels in the control and d... by Amoura M. Abou-El-Naga (21001524)

    Published 2025
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  19. 1539
    Effect of DM, and/or <i>M. charantia</i> on the (I) glucose; (II) HOMA IR, (III) QUICKI levels; (IV) GLUT4; (V) AMPK; (VI) insulin; (VII) leptin levels in the control and different maternal group in the different groups.

    Effect of DM, and/or <i>M. charantia</i> on the (I) glucose; (II) HOMA IR, (III) QUICKI levels; (IV) GLUT4; (V) AMPK; (VI) insulin; (VII) leptin levels in the control and different... by Amoura M. Abou-El-Naga (21001524)

    Published 2025
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  20. 1540
    Effect of DM, and/or <i>M. charantia</i> on the neurotransmitters levels, acetylcholine (I) and dopamine (II).

    Effect of DM, and/or <i>M. charantia</i> on the neurotransmitters levels, acetylcholine (I) and dopamine (II). by Amoura M. Abou-El-Naga (21001524)

    Published 2025
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