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Showing 1 - 20 results of 66 for search '(( significantly ((linear decrease) OR (a decrease)) ) OR ( significant main decrease ))~', query time: 0.44s Refine Results
  1. 1
    A summary of calibration standards (n = 3).

    A summary of calibration standards (n = 3). by Ewa Paszkowska (21246702)

    Published 2025
    “…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”
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  2. 2
    Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> mean shell coloration.

    Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> mean shell c... by Teagan McMahon (20108036)

    Published 2024
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  3. 3
    Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> proportional change in maximum height.

    Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> proportional... by Teagan McMahon (20108036)

    Published 2024
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  4. 4
    Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the disease prevalence models, ‘Egg count’ refers to the GLMM used to model infection intensity (egg count) in school-aged children (SAC) stools. Some models included a zero-inflation (zi) component to account for excess zeros. A single tick (✓) indicates that the predictor was included in the main (conditional) component of the model; a double tick (✓✓) indicates inclusion in both the conditional and zero-inflation components.

    Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the diseas... by Roland Proud (11764892)

    Published 2025
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  5. 5
    The observed MRM reactions.

    The observed MRM reactions. by Ewa Paszkowska (21246702)

    Published 2025
    “…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”
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  6. 6
    Intra- and inter-day precision and accuracy.

    Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

    Published 2025
    “…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”
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  7. 7
    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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  8. 8
    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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  9. 9
    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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  10. 10
    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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  11. 11
    Upwelling index series.

    Upwelling index series. by Antonio Bode (1473376)

    Published 2025
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  12. 12
    Innovation and night light in large and small cities.

    Innovation and night light in large and small cities. by Saul Estrin (8629173)

    Published 2024
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  13. 13
    Theoretical framework.

    Theoretical framework. by Dinku Mechal (21273002)

    Published 2025
    “…Assumptions of linear multivariate regression were checked and the level of significance determined at a 95% CI and p-value <0.05. …”
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  14. 14
    Supplementary file survey questioner annex.

    Supplementary file survey questioner annex. by Dinku Mechal (21273002)

    Published 2025
    “…Assumptions of linear multivariate regression were checked and the level of significance determined at a 95% CI and p-value <0.05. …”
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  15. 15
    Brain transition cost correlates with task demand and performance.

    Brain transition cost correlates with task demand and performance. by Giacomo Barzon (19832364)

    Published 2024
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  16. 16
    Shapley Additive Explanations (SHAP) summary plot.

    Shapley Additive Explanations (SHAP) summary plot. by Yue Lv (549862)

    Published 2025
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  17. 17
    Top Panel: Representation of the input voltage signal in the time domain as applied to the proteinoid sample.

    Top Panel: Representation of the input voltage signal in the time domain as applied to the proteinoid sample. by Panagiotis Mougkogiannis (17002143)

    Published 2025
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  18. 18
    Table 2_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx

    Table 2_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

    Published 2025
    “…RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”
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  19. 19
    Image 1_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.tif

    Image 1_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.tif by Ji Zhou (481629)

    Published 2025
    “…RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”
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  20. 20
    Table 3_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx

    Table 3_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

    Published 2025
    “…RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”
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