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significantly clustered » significantly altered (Expand Search), significant clusters (Expand Search), significantly restored (Expand Search)
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Showing 141 - 160 results of 4,192 for search '(( significant largest decrease ) OR ( significantly clustered decrease ))', query time: 1.21s Refine Results
  1. 141
    The activity of representative Fe-S containing enzymes and mitochondrial membrane potential decreased in <i>ssr1-2</i> mutant, and were restored by <i>sus1</i> or <i>sus2</i>.

    The activity of representative Fe-S containing enzymes and mitochondrial membrane potential decreased in <i>ssr1-2</i> mutant, and were restored by <i>sus1</i> or <i>sus2</i>. by Xuanjun Feng (8768193)

    Published 2025
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  2. 142
    Significant divergence in HDV and HBV time series trends between 1999–2020.

    Significant divergence in HDV and HBV time series trends between 1999–2020. by Braden S. Fallon (15353801)

    Published 2023
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  3. 143
    Persistent AF decreases left atrial organizational index.

    Persistent AF decreases left atrial organizational index. by Terrence Pong (511730)

    Published 2023
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  4. 144
    Identifying optimal cluster numbers in hierarchical cluster analysis.

    Identifying optimal cluster numbers in hierarchical cluster analysis. by Dolores Bernenko (16528426)

    Published 2024
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  5. 145
    Summary results from the clustering analysis of influenza and COVID-19 in Thailand.

    Summary results from the clustering analysis of influenza and COVID-19 in Thailand. by Thanin Methiyothin (14659815)

    Published 2024
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  6. 146
    Properties of differential lipids that have increased and decreased abundance in the BmNPV-infected group of head samples at 96 hpi.

    Properties of differential lipids that have increased and decreased abundance in the BmNPV-infected group of head samples at 96 hpi. by Min Feng (141118)

    Published 2025
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  7. 147
    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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  8. 148
    Interactions between coping strategies of families and before/during the COVID-19 crisis on family quality of life factors.

    Interactions between coping strategies of families and before/during the COVID-19 crisis on family quality of life factors. by Yael Fogel (11883343)

    Published 2022
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  9. 149
    Interactions between coping strategies of families and before/during the COVID-19 crisis on family quality of life factors.

    Interactions between coping strategies of families and before/during the COVID-19 crisis on family quality of life factors. by Yael Fogel (11883343)

    Published 2022
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  10. 150
    Interactions between coping strategies of families and before/during the COVID-19 crisis on family quality of life factors.

    Interactions between coping strategies of families and before/during the COVID-19 crisis on family quality of life factors. by Yael Fogel (11883343)

    Published 2022
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  11. 151
    Differences in family pandemic-oriented personal evaluation scale factors pre- and during the COVID-19 pandemic.

    Differences in family pandemic-oriented personal evaluation scale factors pre- and during the COVID-19 pandemic. by Yael Fogel (11883343)

    Published 2022
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  12. 152
    Interactions between coping strategies of families and before/during the COVID-19 crisis on family quality of life factors.

    Interactions between coping strategies of families and before/during the COVID-19 crisis on family quality of life factors. by Yael Fogel (11883343)

    Published 2022
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  13. 153
    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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  14. 154
    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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  15. 155
    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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  16. 156
    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. 157
    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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  18. 158
    Fig 4 -

    Fig 4 - by Jiaxin Feng (4926844)

    Published 2023
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  19. 159
    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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  20. 160
    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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