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Showing 1 - 20 results of 15,120 for search '(( significant ((nn decrease) OR (mean decrease)) ) OR ( significant clusters decreased ))', query time: 2.65s Refine Results
  1. 1
    Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)).

    Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (sign... by Mobina Faqani (22783963)

    Published 2025
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  2. 2
    Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease).

    Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “... by Mobina Faqani (22783963)

    Published 2025
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  3. 3
    Heat map and k-means clustering of proteins (384) for which any Vpu-mutant was significantly different from wild type.

    Heat map and k-means clustering of proteins (384) for which any Vpu-mutant was significantly different from wild type. by Charlotte A. Stoneham (10819125)

    Published 2021
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  4. 4
    Means, standard deviations, ranges, and frequencies for the sample’s demographic characteristics.

    Means, standard deviations, ranges, and frequencies for the sample’s demographic characteristics. by Yael Fogel (11883343)

    Published 2022
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  5. 5
    Clustering using the unweighted pair group method with arithmetic mean (UPGMA).

    Clustering using the unweighted pair group method with arithmetic mean (UPGMA). by Nguyen Thi Hai (12700147)

    Published 2022
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  6. 6
    Lysosomal area is significantly decreased and lysosomal distribution is altered in FcRn KO podocytes compared to WT after treatment with immune complexes.

    Lysosomal area is significantly decreased and lysosomal distribution is altered in FcRn KO podocytes compared to WT after treatment with immune complexes. by George Haddad (470789)

    Published 2023
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  7. 7
    Cluster analysis performed on Bray-Curtis distance matrices of bacterial OTUs using an unweighted pair group mean algorithm.

    Cluster analysis performed on Bray-Curtis distance matrices of bacterial OTUs using an unweighted pair group mean algorithm. by Pei P. Fu (12407203)

    Published 2022
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  8. 8
    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and heart rate (HR) across the three conditions.

    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

    Published 2025
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  9. 9
    Significant variables in decreasing importance for varietal clustering based on Random forest method.

    Significant variables in decreasing importance for varietal clustering based on Random forest method. by Wilfried Chevalier (10521466)

    Published 2021
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  10. 10
    Clustering effect.

    Clustering effect. by Zhongbo Peng (16884034)

    Published 2024
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  11. 11
    The map of the study site in Jiangling County, Hubei Province, People’s Republic of China.

    The map of the study site in Jiangling County, Hubei Province, People’s Republic of China. by Jiaxin Feng (4926844)

    Published 2023
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  12. 12
    Changes in the prevalence of schistosomiasis infection in humans, livestock, and snails in Jiangling County from 2005 to 2021.

    Changes in the prevalence of schistosomiasis infection in humans, livestock, and snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  13. 13
    Global Moran’s <i>I</i> spatial autocorrelation analysis on average density of living snails in Jiangling County from 2005 to 2021.

    Global Moran’s <i>I</i> spatial autocorrelation analysis on average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  14. 14
    Local spatial autocorrelation analysis of the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/ngcc/ with credit to National Geomatics Center of China.

    Local spatial autocorrelation analysis of the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.... by Jiaxin Feng (4926844)

    Published 2023
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  15. 15
    Results of Joinpoint model analysis on trends of schistosomiasis-related epidemic indicators in Jiangling County from 2005 to 2021.

    Results of Joinpoint model analysis on trends of schistosomiasis-related epidemic indicators in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  16. 16
    Fig 4 -

    Fig 4 - by Jiaxin Feng (4926844)

    Published 2023
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  17. 17
    Central and discrete trend changes for the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/ngcc/ with credit to National Geomatics Center of China.

    Central and discrete trend changes for the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/... by Jiaxin Feng (4926844)

    Published 2023
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  18. 18
    Distribution of hot spot areas for the average density of living snails in Jiangling County from 2005 to 2021.

    Distribution of hot spot areas for the average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  19. 19
    Investigation results of schistosomiasis in humans, livestock and investigation on snails in Jiangling County from 2005 to 2021.

    Investigation results of schistosomiasis in humans, livestock and investigation on snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  20. 20
    Analysis of kernal density for the average density of living snails in Jiangling County from 2005 to 2021.

    Analysis of kernal density for the average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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