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significant application » significant applications (Expand Search), significant implications (Expand Search), significant association (Expand Search)
significantly predicted » significantly reduced (Expand Search), significantly reduce (Expand Search), significant predictor (Expand Search)
application decreases » application increased (Expand Search), application rates (Expand Search), application across (Expand Search)
predicted decrease » predicted secreted (Expand Search), reported decrease (Expand Search)
Showing 1 - 20 results of 13,708 for search '(( significant application decreases ) OR ( significantly predicted decrease ))', query time: 0.56s Refine Results
  1. 1
    Observed success probabilities (triangles for women, squares for men) and predictions according to Model 3 (increasing curves for women, decreasing curves for men) for the Veni data.

    Observed success probabilities (triangles for women, squares for men) and predictions according to Model 3 (increasing curves for women, decreasing curves for men) for the Veni dat... by Casper Albers (4871716)

    Published 2024
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  2. 2
    Comparison of measured and predicted values of empirical model prediction.

    Comparison of measured and predicted values of empirical model prediction. by Hongqi Wang (2208238)

    Published 2024
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  3. 3
    Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration

    Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

    Published 2022
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  4. 4
    Model prediction error analysis.

    Model prediction error analysis. by Hongqi Wang (2208238)

    Published 2024
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  5. 5
    Empirical model prediction error analysis.

    Empirical model prediction error analysis. by Hongqi Wang (2208238)

    Published 2024
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  6. 6
    Model prediction error trend chart.

    Model prediction error trend chart. by Hongqi Wang (2208238)

    Published 2024
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  7. 7
    Model prediction error analysis index.

    Model prediction error analysis index. by Hongqi Wang (2208238)

    Published 2024
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  8. 8
    Multivariate analysis of variables predicting advanced liver fibrosis.

    Multivariate analysis of variables predicting advanced liver fibrosis. by Young Chang (3666829)

    Published 2021
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  9. 9
    List of the proteins that increased or decreased significantly with the progression of liver fibrosis.

    List of the proteins that increased or decreased significantly with the progression of liver fibrosis. by Kumiko Shirai (13014884)

    Published 2022
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  10. 10
    Summary of the 44 features used for prediction.

    Summary of the 44 features used for prediction. by Daniel A. Adler (12468970)

    Published 2022
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  11. 11
    Prediction of hyperemic coronary flow decrease.

    Prediction of hyperemic coronary flow decrease. by Eisuke Usui (12111855)

    Published 2024
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  12. 12
    Chemicals that decrease the expression levels of significant TWAS genes negatively associated with UF.

    Chemicals that decrease the expression levels of significant TWAS genes negatively associated with UF. by Gayeon Kim (671557)

    Published 2022
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  13. 13
    Sensitivity analysis of predictive models using different training datasets.

    Sensitivity analysis of predictive models using different training datasets. by Daniel A. Adler (12468970)

    Published 2022
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  14. 14
    Windup inhibition induced by spinal application of ASIC1a channel blockers.

    Windup inhibition induced by spinal application of ASIC1a channel blockers. by Magda Chafaï (15307098)

    Published 2023
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  15. 15
    The most common machine learning methods to predict ν<sub>s</sub>.

    The most common machine learning methods to predict ν<sub>s</sub>. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  16. 16
    Sensitivity analysis reveals the combined versus single-study data is more likely to be predictive.

    Sensitivity analysis reveals the combined versus single-study data is more likely to be predictive. by Daniel A. Adler (12468970)

    Published 2022
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  17. 17
    Personalization increases training and held-out data alignment, but is not guaranteed to improve prediction performance.

    Personalization increases training and held-out data alignment, but is not guaranteed to improve prediction performance. by Daniel A. Adler (12468970)

    Published 2022
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  18. 18
    SMOTE increases sensitivity, positive predictive value, but reduces specificity and increases mean absolute error.

    SMOTE increases sensitivity, positive predictive value, but reduces specificity and increases mean absolute error. by Daniel A. Adler (12468970)

    Published 2022
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  19. 19
    Comparison of ν<sub>s</sub> measured and predicted estimates of the optimized GPR approach for (a) training, (b) validation, and (c) testing datasets.

    Comparison of ν<sub>s</sub> measured and predicted estimates of the optimized GPR approach for (a) training, (b) validation, and (c) testing datasets. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  20. 20
    The variables that significantly predicted litter clump weight in shelter cats.

    The variables that significantly predicted litter clump weight in shelter cats. by Allison Andrukonis (11846404)

    Published 2025
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