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Showing 61 - 80 results of 79,813 for search '(( significant ((spatial decrease) OR (small decrease)) ) OR ( significant differences model ))', query time: 1.05s Refine Results
  1. 61
    Spatial Markov transfer probability matrix.

    Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

    Published 2024
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  2. 62
    Spatial autocorrelation of open defecation usage among households in Ethiopia, EDHS 2016 plotted using ArcMap 10.7.

    Spatial autocorrelation of open defecation usage among households in Ethiopia, EDHS 2016 plotted using ArcMap 10.7. by Daniel Gashaneh Belay (12334351)

    Published 2022
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  3. 63
    The DMF model reproduces the statistically significant differences in the high-order interactions of redundancy.

    The DMF model reproduces the statistically significant differences in the high-order interactions of redundancy. by Marilyn Gatica (13608174)

    Published 2022
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  4. 64
    Significant joint angle and moment differences between generic and subject-specific models.

    Significant joint angle and moment differences between generic and subject-specific models. by Riad Akhundov (11999308)

    Published 2022
    “…End of weight acceptance phase depicted as the blue line. Areas of significant difference, as determined by statistical parametric mapping (grey).…”
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  5. 65
    Significant activation and muscle force differences between generic and subject-specific models.

    Significant activation and muscle force differences between generic and subject-specific models. by Riad Akhundov (11999308)

    Published 2022
    “…End of weight acceptance phase depicted as the blue line. Areas of significant difference, as determined by statistical parametric mapping (grey).…”
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  6. 66
    Translational and rotational movements in the bone models.

    Translational and rotational movements in the bone models. by Mareike-Kristin Nickel (14439622)

    Published 2023
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  7. 67
    The test results of significant differences in tourists’ questionnaire.

    The test results of significant differences in tourists’ questionnaire. by Yaobin Wang (12498194)

    Published 2023
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  8. 68
    The test results of significant differences in resident questionnaire.

    The test results of significant differences in resident questionnaire. by Yaobin Wang (12498194)

    Published 2023
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  9. 69
    Ivermectin significantly decreases <i>L</i>. <i>loa</i> mf in BALB/c mice.

    Ivermectin significantly decreases <i>L</i>. <i>loa</i> mf in BALB/c mice. by Rene Bilingwe Ayiseh (6900296)

    Published 2023
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  10. 70
    Introgression decreases allelic shuffling.

    Introgression decreases allelic shuffling. by Enrique J. Schwarzkopf (6579275)

    Published 2025
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  11. 71
    Image_1_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff

    Image_1_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff by Lenin Campozano (8502747)

    Published 2020
    “…Extreme droughts showed small and statistically non-significant decreases. …”
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  12. 72
    Image_2_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff

    Image_2_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff by Lenin Campozano (8502747)

    Published 2020
    “…Extreme droughts showed small and statistically non-significant decreases. …”
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  13. 73
    Hazard ratios of serious cardiac effects from multivariable regression models.

    Hazard ratios of serious cardiac effects from multivariable regression models. by Kimball Zhang (14424976)

    Published 2024
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  14. 74
    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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  15. 75
    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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  16. 76
    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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  17. 77
    Fig 4 -

    Fig 4 - by Jiaxin Feng (4926844)

    Published 2023
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  18. 78
    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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  19. 79
    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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  20. 80
    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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