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significant consistent » significant constraints (Expand Search), significant concomitant (Expand Search), significant component (Expand Search)
consistent increase » content increased (Expand Search), content increases (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
Showing 1 - 20 results of 18,856 for search '(( significant ((teer decrease) OR (linear decrease)) ) OR ( significant consistent increase ))', query time: 1.92s Refine Results
  1. 1
    Descriptive characteristics of service utilization by sex and year.

    Descriptive characteristics of service utilization by sex and year. by Fernanda Talarico (807333)

    Published 2024
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  2. 2
    Comparison of mental health-related service utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods.

    Comparison of mental health-related service utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

    Published 2024
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  3. 3
    Cohort characteristics.

    Cohort characteristics. by Fernanda Talarico (807333)

    Published 2024
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  4. 4
    Trend of specific mental health disorders for all services utilization between 2016 and 2022.

    Trend of specific mental health disorders for all services utilization between 2016 and 2022. by Fernanda Talarico (807333)

    Published 2024
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  5. 5
    Trend of mental health-related services utilization between 2016 and 2022.

    Trend of mental health-related services utilization between 2016 and 2022. by Fernanda Talarico (807333)

    Published 2024
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  6. 6
    Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods.

    Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

    Published 2024
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  7. 7
    Trend of all service utilization for all conditions between 2016 and 2022.

    Trend of all service utilization for all conditions between 2016 and 2022. by Fernanda Talarico (807333)

    Published 2024
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  8. 8
    Average annual change, 95% confidence interval and significance for sum concentrations of different compound groups.

    Average annual change, 95% confidence interval and significance for sum concentrations of different compound groups. by Matti Viluksela (321291)

    Published 2024
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  9. 9
    Compliance index and consistency increase.

    Compliance index and consistency increase. by Folco Panizza (4975718)

    Published 2021
    “…The vertical line shows the threshold value (25%) beyond which a participant is considered to be susceptible to authority compliance. B: Consistency increase across conditions. Participants become more consistent after the manipulation phase (<i>σ</i><sub>after</sub> < <i>σ</i><sub>before</sub>), but the increase is not significantly different across conditions. …”
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  10. 10
    N-acetilcysteine prevents the <i>A</i>. <i>simplex</i> CE-induced TEER decrease.

    N-acetilcysteine prevents the <i>A</i>. <i>simplex</i> CE-induced TEER decrease. by Noelia Carballeda-Sangiao (2889611)

    Published 2020
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  11. 11
    Model fit for Mixed-Effects Multi-linear Regressions with PSS as a continuous outcome measure.

    Model fit for Mixed-Effects Multi-linear Regressions with PSS as a continuous outcome measure. by Laura S. P. Bloomfield (3820531)

    Published 2024
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  12. 12
    The summarized graph for the values of the coefficients of significant linear trends.

    The summarized graph for the values of the coefficients of significant linear trends. by Ekaterina Ivanova (230383)

    Published 2022
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  13. 13
    Multiple linear regression analysis of the RAAS system and glucose metabolism indexes in HT and NT patients.

    Multiple linear regression analysis of the RAAS system and glucose metabolism indexes in HT and NT patients. by Ningning Wang (560944)

    Published 2025
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  14. 14
    Linear regression between PCB TEQ and ∑PCB in different study areas.

    Linear regression between PCB TEQ and ∑PCB in different study areas. by Matti Viluksela (321291)

    Published 2024
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  15. 15
    Linear regression between ∑PCB and ∑indicator PCB in different study areas.

    Linear regression between ∑PCB and ∑indicator PCB in different study areas. by Matti Viluksela (321291)

    Published 2024
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  16. 16
    Model fit for Mixed-Effects Multi-linear Regressions with PSS-Moderate (PSS> = 14) as a binary outcome measure.

    Model fit for Mixed-Effects Multi-linear Regressions with PSS-Moderate (PSS> = 14) as a binary outcome measure. by Laura S. P. Bloomfield (3820531)

    Published 2024
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  17. 17
    The linearly decreasing convergence factor a.

    The linearly decreasing convergence factor a. by Junhao Wei (6816803)

    Published 2025
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  18. 18
    Linear regression between PCDD/F TEQ and ∑PCDD/F in different study areas.

    Linear regression between PCDD/F TEQ and ∑PCDD/F in different study areas. by Matti Viluksela (321291)

    Published 2024
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  19. 19
    Linear regression between PCB TEQ and PCDD/F TEQ in different study areas.

    Linear regression between PCB TEQ and PCDD/F TEQ in different study areas. by Matti Viluksela (321291)

    Published 2024
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  20. 20
    Brain regions with significantly decreased activations for the Raven task are shown in blue.

    Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

    Published 2025
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