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Showing 1 - 20 results of 30,473 for search '(( auc values decrease ) OR ((( _ ((tea decrease) OR (a decrease)) ) OR ( _ largest decrease ))))', query time: 0.69s Refine Results
  1. 1
    Analysis of tea output value distribution and growth- decrease rate of provinces.

    Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

    Published 2024
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  2. 2
    The ROC curves and AUC values of the diagnostic model.

    The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

    Published 2024
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  3. 3
    Selection frequencies plotted in decreasing order.

    Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

    Published 2025
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  4. 4
    Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.

    Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

    Published 2025
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  5. 5
    Juvenile demyelination leads to a substantial decrease in potassium currents in PV interneurons of the PFC.

    Juvenile demyelination leads to a substantial decrease in potassium currents in PV interneurons of the PFC. by Sara Hijazi (21656615)

    Published 2025
    “…Scale: 500 pA, 100 ms. <b>B</b>. I–V curves showing a significant decrease in Kv amplitude in PV interneurons from mice that underwent juvenile demyelination. …”
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  6. 6
    AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves.

    AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves. by Naruyoshi Gyoutoku (22537831)

    Published 2025
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  7. 7
    ROC curve and AUC value of all models.

    ROC curve and AUC value of all models. by Tiago de Oliveira Barreto (20485207)

    Published 2024
    “…After that, blank and inconclusive data were removed, as well as the outcomes that had values other than discharge and death, rendering a binary classification. …”
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  8. 8
    Relative abundance of bacteria phyla (a) and classes (b) in root zone soil of different tea varieties.

    Relative abundance of bacteria phyla (a) and classes (b) in root zone soil of different tea varieties. by Jun Sun (48981)

    Published 2025
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  9. 9
    KEGG enrichment map of differential metabolites (a) and differential abundance score map (b).

    KEGG enrichment map of differential metabolites (a) and differential abundance score map (b). by Jun Sun (48981)

    Published 2025
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  10. 10
    Detected metabolites (a), volcano plot (b) and scatter plot (c) of differential metabolites.

    Detected metabolites (a), volcano plot (b) and scatter plot (c) of differential metabolites. by Jun Sun (48981)

    Published 2025
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  11. 11
    Column charts of WiAUC in therapy and control group at baseline and follow-up.

    Column charts of WiAUC in therapy and control group at baseline and follow-up. by Felix L. Herr (21544362)

    Published 2025
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  12. 12
    LEfSe analysis of root zone soil bacterium from different tea varieties.

    LEfSe analysis of root zone soil bacterium from different tea varieties. by Jun Sun (48981)

    Published 2025
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  13. 13
    Trust change by gender.

    Trust change by gender. by Alain Abi-Rizk (8549358)

    Published 2025
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  14. 14
    Trust change by age group.

    Trust change by age group. by Alain Abi-Rizk (8549358)

    Published 2025
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  15. 15
    Trust change by education level.

    Trust change by education level. by Alain Abi-Rizk (8549358)

    Published 2025
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  16. 16
    Trust change by source of science information.

    Trust change by source of science information. by Alain Abi-Rizk (8549358)

    Published 2025
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  17. 17
    Trust levels before and after the COVID-19 pandemic (n = 10,000).

    Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

    Published 2025
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  18. 18
    Distribution of individual change in trust in science before and after the pandemic (n = 10,000).

    Distribution of individual change in trust in science before and after the pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

    Published 2025
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  19. 19
    Innovation, nightlights and a continuous measure of city size.

    Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

    Published 2024
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  20. 20
    PCA of bacterial communities.

    PCA of bacterial communities. by Jun Sun (48981)

    Published 2025
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