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Showing 4,161 - 4,180 results of 18,308 for search 'significant ((((step decrease) OR (((teer decrease) OR (a decrease))))) OR (mean decrease))', query time: 0.74s Refine Results
  1. 4161
    Spearman correlation matrix analysis of the RAAS system and glucose metabolism indexes at different normotension subgroups.

    Spearman correlation matrix analysis of the RAAS system and glucose metabolism indexes at different normotension subgroups. by Ningning Wang (560944)

    Published 2025
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  2. 4162
    Dynamic stability based on the Feasible Stability Region (FSR).

    Dynamic stability based on the Feasible Stability Region (FSR). by Hyung Suk Yang (20442438)

    Published 2024
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  3. 4163
    Antihypertensive treatment of 151 T2DM patients with hypertension at different subgroups.

    Antihypertensive treatment of 151 T2DM patients with hypertension at different subgroups. by Ningning Wang (560944)

    Published 2025
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  4. 4164
    The values of angiotensin II

    The values of angiotensin II by Ningning Wang (560944)

    Published 2025
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  5. 4165
    Redundancy analysis of soil environmental factors and bacterial dominant communities under different water and fertilizer application patterns of greenhouse tomatoes (A, I1; B, I2; C, I3).

    Redundancy analysis of soil environmental factors and bacterial dominant communities under different water and fertilizer application patterns of greenhouse tomatoes (A, I1; B, I2;... by Xiaona Lyu (20871872)

    Published 2025
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  6. 4166
    Principal coordinates analysis (PCoA).

    Principal coordinates analysis (PCoA). by Wararak Choovanichvong (22110371)

    Published 2025
    “…Analysis of bacterial abundance revealed a shift in trends as the disease combined from control to NSESKD and SESKD group, respectively, across 7 genera: <i><i>Actinobacillus</i></i>, <i>TM7x</i>, <i><i>Capnocytophaga</i></i>, <i><i>Neisseria</i></i>, and <i><i>Leptotrichia</i></i> increased in abundance, while <i><i>Actinomyces</i></i> and <i><i>Atopobium</i></i> decreased. …”
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  7. 4167
    Data Sheet 3_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf

    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
    “…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”
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  8. 4168
    Data Sheet 4_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf

    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
    “…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”
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  9. 4169
    Table 4_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx

    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
    “…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”
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  10. 4170
    Data Sheet 1_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf

    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
    “…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”
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  11. 4171
    Table 2_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx

    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
    “…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”
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  12. 4172
    Data Sheet 2_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf

    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
    “…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”
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  13. 4173
    Table 3_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx

    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
    “…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”
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  14. 4174
    Table 1_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx

    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
    “…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”
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  15. 4175
    A pictorial view of hemp seedling and leaves grown under normal condition (CK, control without stress) and alkali-stress (NaHCO<sub>3</sub> (250 mmol·L<sup>−1</sup>)) during three different time intervals (h, hours), respectively.

    A pictorial view of hemp seedling and leaves grown under normal condition (CK, control without stress) and alkali-stress (NaHCO<sub>3</sub> (250 mmol·L<sup>−1</sup>)) during three... by Zeyu Jiang (5094320)

    Published 2025
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  16. 4176
    Baseline characteristics of the study sample<sup>β</sup>μ.

    Baseline characteristics of the study sample<sup>β</sup>μ. by Osama Mohamed Ibrahim (12006954)

    Published 2024
    “…A significant difference was observed in the proportion of DRP types between Active Group A and the Control Group. …”
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  17. 4177
    The flow diagram of the study (CONSORT, 2010).

    The flow diagram of the study (CONSORT, 2010). by Osama Mohamed Ibrahim (12006954)

    Published 2024
    “…A significant difference was observed in the proportion of DRP types between Active Group A and the Control Group. …”
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  18. 4178
    a) FB image processing featuring (1) FB map, (2) TWOMBLI mask, (3) FB-mask multiplied image, and (4) Ridge detection selection of contours. b) TWOMBLI Output Descriptions. (1) Area: cross-sectional area of all fibers, (2) Lacunarity: number and size of gaps in the ECM, (3) Total Length: sum length of all drawn fibers, (4) Endpoints: sum of fiber terminus points, (5) Hyphal Growth Unit: number of end points per unit length, (6) Branchpoints: number of fiber intersections, (7) Box-Counting Fractal Dimension: indicates self-similarity and space-filling properties, (8) Curvature: change in angle moving along individual fibers, (9) Percent High-Density Matrix: proportion of white pixels with respect to dark pixels, (10) Alignment: degree to which fibers are oriented in a similar direction.

    a) FB image processing featuring (1) FB map, (2) TWOMBLI mask, (3) FB-mask multiplied image, and (4) Ridge detection selection of contours. b) TWOMBLI Output Descriptions. (1) Area... by Zoë Dinkel (21402766)

    Published 2025
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  19. 4179
    Variation law of RA and AF in sandstone with different freeze-thaw cycles under a loading rate of 0.20mm/min.

    Variation law of RA and AF in sandstone with different freeze-thaw cycles under a loading rate of 0.20mm/min. by Wenyu Lv (20139458)

    Published 2025
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  20. 4180
    Variation law of RA and AF in sandstone with different freeze-thaw cycles under a loading rate of 0.05mm/min.

    Variation law of RA and AF in sandstone with different freeze-thaw cycles under a loading rate of 0.05mm/min. by Wenyu Lv (20139458)

    Published 2025
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