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Showing 1 - 20 results of 14,843 for search '(( significant risk decrease ) OR ( significant clusters decrease ))', query time: 1.08s Refine Results
  1. 1
    The identified significant high-rate spatial-temporal clusters of new detected leprosy cases in Yunnan, China, 2011–2020.

    The identified significant high-rate spatial-temporal clusters of new detected leprosy cases in Yunnan, China, 2011–2020. by Xiaohua Chen (257762)

    Published 2021
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  2. 2
    Sat scan analysis of significant clusters of anemia among reproductive age women in Ethiopia, EDHS 2016.

    Sat scan analysis of significant clusters of anemia among reproductive age women in Ethiopia, EDHS 2016. by Daniel Gashaneh Belay (12334351)

    Published 2022
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  3. 3
    Tissue-specific profiling of the photoreceptor nuclear transcriptome reveals significant changes in early and late aging.

    Tissue-specific profiling of the photoreceptor nuclear transcriptome reveals significant changes in early and late aging. by Juan Jauregui-Lozano (12024868)

    Published 2022
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  4. 4
    Clustering results.

    Clustering results. by Yuxuan Cai (19226202)

    Published 2024
    “…However, as the pandemic evolved, a significant decrease in online support was noted, especially within these mental health groups. …”
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  5. 5
    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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  6. 6
    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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  7. 7
    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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  8. 8
    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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  9. 9
    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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  10. 10
    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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  11. 11
    Fig 4 -

    Fig 4 - by Jiaxin Feng (4926844)

    Published 2023
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  12. 12
    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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  13. 13
    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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  14. 14
    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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  15. 15
    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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  16. 16
    Changes in the average density of living snails and the occurrence rate of frames with snails in Jiangling County from 2005 to 2021.

    Changes in the average density of living snails and the occurrence rate of frames with snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  17. 17
    Clusters of creep curves under different freeze-thaw cycles.

    Clusters of creep curves under different freeze-thaw cycles. by Dengke Yang (842532)

    Published 2025
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  18. 18
    Creep curve clusters of rock samples with different fracture dip angles.

    Creep curve clusters of rock samples with different fracture dip angles. by Dengke Yang (842532)

    Published 2025
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  19. 19
    SLE decreases risk for hormonal cancers.

    SLE decreases risk for hormonal cancers. by Deborah K. Johnson (10001156)

    Published 2021
    “…(a) Breast cancer incidence in female SLE cohort is significantly decreased by SLE status (OR 0.52, 95% CI 0.35, 0.74, p = 0.0036). …”
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  20. 20
    Ecological risk classification.

    Ecological risk classification. by Jie Zhang (64655)

    Published 2023
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