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greatest decrease » treatment decreased (Expand Search), greater increase (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
set decrease » we decrease (Expand Search), sizes decrease (Expand Search), mean decrease (Expand Search)
knn decrease » nn decrease (Expand Search), mean decrease (Expand Search), _ decrease (Expand Search)
Showing 1 - 20 results of 104 for search '(( third ((((set decrease) OR (step decrease))) OR (greatest decrease)) ) OR ( _ knn decrease ))', query time: 0.33s Refine Results
  1. 1
    State transition dynamics of reputation considering third-order information and multiple reputation values:

    State transition dynamics of reputation considering third-order information and multiple reputation values: by Hitoshi Yamamoto (738861)

    Published 2025
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  2. 2
    Centrifuged FMT products consistently exhibit the lowest median log<sub>10</sub> drop of CFU/g following freezing and lyophilization. In contrast, unprocessed feces exhibited the greatest median log<sub>10</sub> drop and had a statistically significant loss of bacterial viability across both storage conditions. Products with M:D were the only cryopreserved products to exhibit a significant decrease in surrogate bacterial viability after freezing. However, M:D FMT products exhibited the smallest median loss of bacterial viability following lyophilization and outperforms other lyopreservatives. Data is represented as median and range in parentheses. Significant p-values are bolded. Abbreviations: C, centrifuged; NC, not centrifuged; MD, maltodextrin and trehalose.

    Centrifuged FMT products consistently exhibit the lowest median log<sub>10</sub> drop of CFU/g following freezing and lyophilization. In contrast, unprocessed feces exhibited the g... by Nina K. Randolph (21030732)

    Published 2025
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  3. 3
    Evaluation rule considering third-order information and multiple reputation values: By cluster analysis and best-fitting distribution for each distribution done on basis of BIC, reputation values are classified as good, bad, and neutral.

    Evaluation rule considering third-order information and multiple reputation values: By cluster analysis and best-fitting distribution for each distribution done on basis of BIC, re... by Hitoshi Yamamoto (738861)

    Published 2025
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  4. 4
    Hybrid imputation of missing values using KNN on MEWMA-based adaptive process control

    Hybrid imputation of missing values using KNN on MEWMA-based adaptive process control by Yijun Jiang (1852231)

    Published 2025
    “…When dealing with data fluctuation, we assign a higher weight to the KNN method for its sensitivity, while the EWMA method is preferred for stationary data. …”
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  5. 5
    AI KRegression

    AI KRegression by CHIN-CHENG CHU (20718575)

    Published 2025
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  6. 6
    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane

    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

    Published 2025
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  7. 7
    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane

    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

    Published 2025
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  8. 8
    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane

    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

    Published 2025
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  9. 9
    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane

    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

    Published 2025
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  10. 10
    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane

    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

    Published 2025
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  11. 11
    Data set from the 2022 study.

    Data set from the 2022 study. by Peter Sandøe (553063)

    Published 2025
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  12. 12
    Predicted<sup>*</sup> value of age at school entry by height-for-age z-score and child’s sex.

    Predicted<sup>*</sup> value of age at school entry by height-for-age z-score and child’s sex. by Rabi Joël Gansaonré (20416803)

    Published 2024
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  13. 13
    Predicted<sup>*</sup> value of age at school entry by height-for-age z-score and household socioeconomic status.

    Predicted<sup>*</sup> value of age at school entry by height-for-age z-score and household socioeconomic status. by Rabi Joël Gansaonré (20416803)

    Published 2024
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  14. 14
    Predicted<sup>*</sup> value of age at school entry by height-for-age z-score and mother’s education.

    Predicted<sup>*</sup> value of age at school entry by height-for-age z-score and mother’s education. by Rabi Joël Gansaonré (20416803)

    Published 2024
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  15. 15
    Age at school entry, incidence of grade repetition, incidence of dropout, and baseline characteristics of participants.

    Age at school entry, incidence of grade repetition, incidence of dropout, and baseline characteristics of participants. by Rabi Joël Gansaonré (20416803)

    Published 2024
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  16. 16
    Change<sup>a</sup> in incidence of repetition [95% confidence interval].

    Change<sup>a</sup> in incidence of repetition [95% confidence interval]. by Rabi Joël Gansaonré (20416803)

    Published 2024
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  17. 17
    Predicted<sup>*</sup> value of age at school entry by height-for-age z-score and place of residence.

    Predicted<sup>*</sup> value of age at school entry by height-for-age z-score and place of residence. by Rabi Joël Gansaonré (20416803)

    Published 2024
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  18. 18
    Change<sup>a</sup> in incidence of repetition according to a one-unit change in the initial value of the height-for-age z-score.

    Change<sup>a</sup> in incidence of repetition according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

    Published 2024
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  19. 19
    Change<sup>a</sup> in years of age at school entry according to a one-unit change in the initial value of the height-for-age z-score.

    Change<sup>a</sup> in years of age at school entry according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

    Published 2024
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  20. 20
    Change<sup>a</sup> in incidence of dropout according to a one-unit change in the initial value of the height-for-age z-score.

    Change<sup>a</sup> in incidence of dropout according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

    Published 2024
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