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Showing 1 - 20 results of 118 for search '(( significantly ((a decrease) OR (linear decrease)) ) OR ( significant cause decrease ))~', query time: 0.54s Refine Results
  1. 1
    Linear contact model.

    Linear contact model. by Qingwen Li (1510687)

    Published 2025
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  2. 2
    nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU.

    nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU. by Peiqi Yin (6533747)

    Published 2025
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  3. 3
    The flexural lumber properties of Pinus patula Schiede ex Schltdl. & Cham. improve with decreasing initial tree spacing

    The flexural lumber properties of Pinus patula Schiede ex Schltdl. & Cham. improve with decreasing initial tree spacing by Justin Erasmus (8702619)

    Published 2025
    “…<p dir="ltr">Rapid growth rates and reduced harvesting ages of South African-grown pine plantations have caused a reduction in the stiffness of structural lumber, which accounts for about 75% of all sawn wood. …”
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  4. 4
    BMI groups by SES.

    BMI groups by SES. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  5. 5
    BMISES_Data_Part2.

    BMISES_Data_Part2. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  6. 6
    Logistic regression for LSES population.

    Logistic regression for LSES population. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  7. 7
    Logistic regression for HSES population.

    Logistic regression for HSES population. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  8. 8
    Logistic regression for overall population.

    Logistic regression for overall population. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  9. 9
    BMISES_Data_Part1.

    BMISES_Data_Part1. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  10. 10
    Baseline characteristics of HSES/LSES population.

    Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  11. 11
    Baseline characteristics of overall population.

    Baseline characteristics of overall population. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  12. 12
    Diagram of study population.

    Diagram of study population. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  13. 13
    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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  14. 14
    Mean muscle activation patterns across the gait cycle during walking with anteroposterior (AP) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke during Unsupported Walking (UW; black), anterior forces (green) and posterior forces (purple).

    Mean muscle activation patterns across the gait cycle during walking with anteroposterior (AP) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke d... by Sanne Ettema (18786312)

    Published 2025
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  15. 15
    Mean muscle activation patterns across the gait cycle during walking with Body Weight Support (BWS) for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke during Unsupported Walking (UW; black), 10% BWS (blue) and 30% BWS (red).

    Mean muscle activation patterns across the gait cycle during walking with Body Weight Support (BWS) for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke dur... by Sanne Ettema (18786312)

    Published 2025
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  16. 16
    Mean muscle activation patterns across the gait cycle during walking with mediolateral (ML) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke during Unsupported Walking (UW; black), 10% BWS + ML (blue) and 30% BWS + ML (red).

    Mean muscle activation patterns across the gait cycle during walking with mediolateral (ML) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke duri... by Sanne Ettema (18786312)

    Published 2025
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  17. 17
    COVID19 effect on essential services.

    COVID19 effect on essential services. by Admas Abera (11821659)

    Published 2024
    “…The difference in the trends of services before and during COVID-19 was compared using linear-by-linear tests and the difference of magnitude across the indicators was compared using Autoregressive Integrated Moving Average (ARIMA) interrupted time series analysis at a 5% significance level.…”
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  18. 18
    Sociodemographic characteristics of the sample.

    Sociodemographic characteristics of the sample. by Senay Yildirim-Kahriman (22693464)

    Published 2025
    “…Statistical analyses included descriptive statistics, Spearman’s correlation, and multiple linear regression. Participants demonstrated significantly higher awareness of scientifically established cancer causes (70.7%) compared to mythical ones (10.2%). …”
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  19. 19
    Means scores of CAM and CAM-MYCS.

    Means scores of CAM and CAM-MYCS. by Senay Yildirim-Kahriman (22693464)

    Published 2025
    “…Statistical analyses included descriptive statistics, Spearman’s correlation, and multiple linear regression. Participants demonstrated significantly higher awareness of scientifically established cancer causes (70.7%) compared to mythical ones (10.2%). …”
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  20. 20
    The Date.

    The Date. by Chengyuan Hao (21615653)

    Published 2025
    “…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”
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