Showing 39,441 - 39,460 results of 132,736 for search '(( a e decrease ) OR ( 5 ((point decrease) OR (((mean decrease) OR (a decrease)))) ))', query time: 2.13s Refine Results
  1. 39441
  2. 39442
  3. 39443

    Data Sheet 3_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf by Lijun Wang (176511)

    Published 2025
    “…We excluded countries or regions with a total number of age-group cases <5 (42 cases in total) because of potential problems with the sparsity of age-group data in countries with very small populations, resulting in the non-convergence of the BAPC model.…”
  4. 39444

    Data Sheet 4_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf by Lijun Wang (176511)

    Published 2025
    “…We excluded countries or regions with a total number of age-group cases <5 (42 cases in total) because of potential problems with the sparsity of age-group data in countries with very small populations, resulting in the non-convergence of the BAPC model.…”
  5. 39445

    Table 4_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx by Lijun Wang (176511)

    Published 2025
    “…We excluded countries or regions with a total number of age-group cases <5 (42 cases in total) because of potential problems with the sparsity of age-group data in countries with very small populations, resulting in the non-convergence of the BAPC model.…”
  6. 39446

    Data Sheet 1_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf by Lijun Wang (176511)

    Published 2025
    “…We excluded countries or regions with a total number of age-group cases <5 (42 cases in total) because of potential problems with the sparsity of age-group data in countries with very small populations, resulting in the non-convergence of the BAPC model.…”
  7. 39447

    Table 2_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx by Lijun Wang (176511)

    Published 2025
    “…We excluded countries or regions with a total number of age-group cases <5 (42 cases in total) because of potential problems with the sparsity of age-group data in countries with very small populations, resulting in the non-convergence of the BAPC model.…”
  8. 39448

    Data Sheet 2_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf by Lijun Wang (176511)

    Published 2025
    “…We excluded countries or regions with a total number of age-group cases <5 (42 cases in total) because of potential problems with the sparsity of age-group data in countries with very small populations, resulting in the non-convergence of the BAPC model.…”
  9. 39449

    Table 3_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx by Lijun Wang (176511)

    Published 2025
    “…We excluded countries or regions with a total number of age-group cases <5 (42 cases in total) because of potential problems with the sparsity of age-group data in countries with very small populations, resulting in the non-convergence of the BAPC model.…”
  10. 39450

    Table 1_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx by Lijun Wang (176511)

    Published 2025
    “…We excluded countries or regions with a total number of age-group cases <5 (42 cases in total) because of potential problems with the sparsity of age-group data in countries with very small populations, resulting in the non-convergence of the BAPC model.…”
  11. 39451
  12. 39452
  13. 39453

    Image_3_MiR-103a-3p Promotes Zika Virus Replication by Targeting OTU Deubiquitinase 4 to Activate p38 Mitogen-Activated Protein Kinase Signaling Pathway.JPEG by Haiyan Ye (514364)

    Published 2022
    “…One of the validated upregulated miRNAs, miR-103a-3p significantly stimulated ZIKV replication both at mRNA (NS5) and protein (NS1) levels. …”
  14. 39454

    Image_2_MiR-103a-3p Promotes Zika Virus Replication by Targeting OTU Deubiquitinase 4 to Activate p38 Mitogen-Activated Protein Kinase Signaling Pathway.JPEG by Haiyan Ye (514364)

    Published 2022
    “…One of the validated upregulated miRNAs, miR-103a-3p significantly stimulated ZIKV replication both at mRNA (NS5) and protein (NS1) levels. …”
  15. 39455

    Image_1_MiR-103a-3p Promotes Zika Virus Replication by Targeting OTU Deubiquitinase 4 to Activate p38 Mitogen-Activated Protein Kinase Signaling Pathway.JPEG by Haiyan Ye (514364)

    Published 2022
    “…One of the validated upregulated miRNAs, miR-103a-3p significantly stimulated ZIKV replication both at mRNA (NS5) and protein (NS1) levels. …”
  16. 39456
  17. 39457

    Novel Small-Molecule miR-124 Inducer Acts as “a Physiological Brake” of Inflammation in Ulcerative Colitis by Targeting the PIK3R2/PI3K/Akt Axis by Tiantian Wang (1688881)

    Published 2025
    “…Mechanistically, miR-124-5p directly targeted PIK3R2, suppressing the PI3K/Akt pathway and decreasing proinflammatory cytokines while promoting M2 macrophage polarization. …”
  18. 39458

    DataSheet_1_Kang Le Xin Reduces Blood Pressure Through Inducing Endothelial-Dependent Vasodilation by Activating the AMPK-eNOS Pathway.zip by Yixiu Zhao (2268688)

    Published 2020
    “…KLX significantly decreases the arterial blood pressure of spontaneous hypertensive rats (SHR), decreases the contractile reactivity of superior mesenteric artery to phenylephrine and increases the vasodilatory reactivity of superior mesenteric artery to carbachol in a dose-dependent manner. …”
  19. 39459
  20. 39460