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significantly clustered » significantly altered (Expand Search), significant clusters (Expand Search), significantly restored (Expand Search)
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Showing 21 - 40 results of 22,619 for search '(( significant ((rates decrease) OR (greater decrease)) ) OR ( significantly clustered decrease ))', query time: 0.69s Refine Results
  1. 21
    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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  2. 22
    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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  3. 23
    Clustering validation metrics for fertility rates in the age groups of 10 to 14 years and 15 to 19 years. Brazil, 2018-2019 and 2020-2021.

    Clustering validation metrics for fertility rates in the age groups of 10 to 14 years and 15 to 19 years. Brazil, 2018-2019 and 2020-2021. by Rosa Maria Soares Madeira Domingues (2795005)

    Published 2025
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  4. 24
    Spatial clustering of high and low rate of HIV seropositivity among women in Ethiopia.

    Spatial clustering of high and low rate of HIV seropositivity among women in Ethiopia. by Tegene Atamenta Kitaw (17930374)

    Published 2024
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  5. 25
    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. 26
    Glucose disposal rate (GDR) is significantly decreased in P HFHS dams.

    Glucose disposal rate (GDR) is significantly decreased in P HFHS dams. by Akansha Mishra (2632600)

    Published 2022
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  7. 27
    IRI group exhibited a significantly greater decrease in proportion of gambles accepted compared to the IRI group in the second block.

    IRI group exhibited a significantly greater decrease in proportion of gambles accepted compared to the IRI group in the second block. by Yasuhiro Mochizuki (3308349)

    Published 2024
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  8. 28
    Regression estimates and incidence rate ratios from GLMER for number of papers (top) and coauthors (bottom).

    Regression estimates and incidence rate ratios from GLMER for number of papers (top) and coauthors (bottom). by William C. Barley (8915282)

    Published 2025
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  9. 29
    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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  10. 30
    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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  11. 31
    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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  12. 32
    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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  13. 33
    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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  14. 34
    Fig 4 -

    Fig 4 - by Jiaxin Feng (4926844)

    Published 2023
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  15. 35
    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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  16. 36
    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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  17. 37
    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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  18. 38
    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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  19. 39
    Join-point regression analysis of the severity of road traffic accidents in Shandong Province from 2001 to 2019.

    Join-point regression analysis of the severity of road traffic accidents in Shandong Province from 2001 to 2019. by Tao Wang (12008)

    Published 2023
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  20. 40
    The relationship between road network characteristics and the severity of traffic accidents.

    The relationship between road network characteristics and the severity of traffic accidents. by Tao Wang (12008)

    Published 2023
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