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significantly high » significantly higher (Expand Search), significantly change (Expand Search), significantly less (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
high decrease » slight decrease (Expand Search), high degree (Expand Search), high disease (Expand Search)
Showing 141 - 160 results of 7,306 for search '(( significantly ((linear decrease) OR (largest decrease)) ) OR ( significantly high decrease ))', query time: 0.43s Refine Results
  1. 141
    Characteristics of the study population.

    Characteristics of the study population. by Johannes Nairz (18010746)

    Published 2024
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  2. 142
    Boxplot mean cfPWV comparisons.

    Boxplot mean cfPWV comparisons. by Johannes Nairz (18010746)

    Published 2024
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  3. 143
    Study flow chart.

    Study flow chart. by Johannes Nairz (18010746)

    Published 2024
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  4. 144
    Autophagy significantly increases RGCs loss.

    Autophagy significantly increases RGCs loss. by Hongmei Qian (538647)

    Published 2024
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  5. 145
    Autophagy significantly increases RGCs loss.

    Autophagy significantly increases RGCs loss. by Hongmei Qian (538647)

    Published 2024
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  6. 146
    Spontaneous oxycodone withdrawal initially flattens NREM power rhythms, decreases low frequency and increases high frequency power.

    Spontaneous oxycodone withdrawal initially flattens NREM power rhythms, decreases low frequency and increases high frequency power. by Michael Gulledge (20577135)

    Published 2025
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  7. 147
    STL Linear Combination Forecast Graph.

    STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

    Published 2025
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  8. 148
    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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  9. 149
    High Stability, Piezoelectric Response, and Promising Photocatalytic Activity on the New Pentagonal CGeP<sub>4</sub> Monolayer

    High Stability, Piezoelectric Response, and Promising Photocatalytic Activity on the New Pentagonal CGeP<sub>4</sub> Monolayer by José A. S. Laranjeira (18870824)

    Published 2024
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  10. 150
    High Stability, Piezoelectric Response, and Promising Photocatalytic Activity on the New Pentagonal CGeP<sub>4</sub> Monolayer

    High Stability, Piezoelectric Response, and Promising Photocatalytic Activity on the New Pentagonal CGeP<sub>4</sub> Monolayer by José A. S. Laranjeira (18870824)

    Published 2024
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  11. 151
    Rates of change in each retinal layer thickness, calculated using linear mixed models.

    Rates of change in each retinal layer thickness, calculated using linear mixed models. by Jung-Tae Kim (8997767)

    Published 2025
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  12. 152
    Linear regressions of the distance between buoys (km) and the Pearson correlation coefficient for each pairwise buoy combination for 2021 (blue) and 2022 (gray).

    Linear regressions of the distance between buoys (km) and the Pearson correlation coefficient for each pairwise buoy combination for 2021 (blue) and 2022 (gray). by Claire Stevens (11127729)

    Published 2025
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  13. 153
    RTA408 significantly reduces RGCs loss.

    RTA408 significantly reduces RGCs loss. by Hongmei Qian (538647)

    Published 2024
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  14. 154
    The table shows the significant and non-significant altered group with different parameters.

    The table shows the significant and non-significant altered group with different parameters. by Ashraf Attia Mahmoud (21262201)

    Published 2025
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  15. 155
    Weighted Linear Regression Analysis of BRI and ASM/BMI.

    Weighted Linear Regression Analysis of BRI and ASM/BMI. by Wei Huang (36889)

    Published 2025
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  16. 156
    The significance of the specific Nusselt number on a variety of factors.

    The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

    Published 2025
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  17. 157
    The significance of the specific Nusselt number on a variety of factors.

    The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

    Published 2025
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  18. 158
    The significance of the specific Nusselt number on a variety of factors.

    The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

    Published 2025
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  19. 159
    The significance of the specific Nusselt number on a variety of factor.

    The significance of the specific Nusselt number on a variety of factor. by Siva Sankari (2827295)

    Published 2025
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  20. 160
    Multivariate Linear Regression Analysis of Factors Associated with Pain Scores (VAS) in Children Aged 7–12.

    Multivariate Linear Regression Analysis of Factors Associated with Pain Scores (VAS) in Children Aged 7–12. by Myriam Aïche (22290591)

    Published 2025
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