Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
tender decrease » teer decrease (Expand Search)
set decrease » step decrease (Expand Search), we decrease (Expand Search), sizes decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
_ tender » _ gender (Expand Search), _ tendon (Expand Search), 5 gender (Expand Search)
Showing 1 - 20 results of 116 for search '(( third ((((set decrease) OR (greater decrease))) OR (nn decrease)) ) OR ( _ tender decrease ))', query time: 0.40s 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
    Candidates from the RF method. The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively. The third column contains candidates common to both columns, sorted according to start position. The identifier of the peptide consists of the start to stop position within the sequence of the spike protein from ancestral SARS-CoV-II.

    Candidates from the RF method. The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respecti... by Zoë Parker Cates (22184243)

    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
    This is the raw data used for this study.

    This is the raw data used for this study. by James M. Friedman (22522150)

    Published 2025
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  5. 5
    Pre-operative versus post-operative symptoms.

    Pre-operative versus post-operative symptoms. by James M. Friedman (22522150)

    Published 2025
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  6. 6
    The Human Disharmony Loop (full) Including Inciting Factors.

    The Human Disharmony Loop (full) Including Inciting Factors. by James M. Friedman (22522150)

    Published 2025
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  7. 7
    Baseline Severity of Disease by Scapular Dyskinesia Stage<sup>1.</sup>

    Baseline Severity of Disease by Scapular Dyskinesia Stage<sup>1.</sup> by James M. Friedman (22522150)

    Published 2025
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  8. 8
    The Human Disharmony Loop Clinical Presentation.

    The Human Disharmony Loop Clinical Presentation. by James M. Friedman (22522150)

    Published 2025
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  9. 9
    Patient Demographics.

    Patient Demographics. by James M. Friedman (22522150)

    Published 2025
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  10. 10
    Pain and Function Outcomes Following PM Tenotomy.

    Pain and Function Outcomes Following PM Tenotomy. by James M. Friedman (22522150)

    Published 2025
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  11. 11
    Diagnostic Criteria for Human Disharmony Loop.

    Diagnostic Criteria for Human Disharmony Loop. by James M. Friedman (22522150)

    Published 2025
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  12. 12
    Normal Anatomy vs. Disharmonic Pathoanatomy.

    Normal Anatomy vs. Disharmonic Pathoanatomy. by James M. Friedman (22522150)

    Published 2025
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  13. 13
    The Human Disharmony Loop (central).

    The Human Disharmony Loop (central). by James M. Friedman (22522150)

    Published 2025
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  14. 14
    Sample Pain Diagrams.

    Sample Pain Diagrams. by James M. Friedman (22522150)

    Published 2025
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  15. 15
    Patient Example.

    Patient Example. by James M. Friedman (22522150)

    Published 2025
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  16. 16
    Data set from the 2022 study.

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

    Published 2025
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  17. 17
    Flow chart for inclusion and exclusion criteria.

    Flow chart for inclusion and exclusion criteria. by Maleda Tefera (9025154)

    Published 2025
    “…Conversely, the likelihood of wasting decreased in children breastfeeding in their second and third year of life (AOR: 0.75; 95% CI 0.67, 0.83) and (AOR: 0.50; 95% CI 0.43, 0.60) respectively. …”
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  18. 18
    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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  19. 19
    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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  20. 20
    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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