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Showing 101 - 120 results of 39,219 for search '(( significant variable region ) OR ( significant ((changes decrease) OR (larger decrease)) ))', query time: 1.47s Refine Results
  1. 101
    Variable definitions.

    Variable definitions. by Sampurna Kakchapati (18707842)

    Published 2025
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  2. 102
    Top 20 genes with significantly decreased abundance in Aco<sup>R</sup> cells.

    Top 20 genes with significantly decreased abundance in Aco<sup>R</sup> cells. by Pieter C. Steketee (10024552)

    Published 2021
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  3. 103
    Contribution rate of environmental variables on the distribution of <i>P</i>. <i>tatarinowii</i>.

    Contribution rate of environmental variables on the distribution of <i>P</i>. <i>tatarinowii</i>. by Jingtian Yang (11966345)

    Published 2022
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  4. 104
    The Jackknife test result of environmental variables of <i>P</i>. <i>tatarinowii</i>.

    The Jackknife test result of environmental variables of <i>P</i>. <i>tatarinowii</i>. by Jingtian Yang (11966345)

    Published 2022
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  5. 105
    Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session.

    Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session. by Cristina Dolciotti (16317330)

    Published 2025
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  6. 106
    Mean ± SD of the different parameters relative to bipedal stance on soft support with the eyes open recorded in the Chewing and Hand Grip groups.

    Mean ± SD of the different parameters relative to bipedal stance on soft support with the eyes open recorded in the Chewing and Hand Grip groups. by Cristina Dolciotti (16317330)

    Published 2025
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  7. 107
    Time course of Path Length, LFS and Velocity during postural training.

    Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  8. 108
    Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training.

    Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  9. 109
    Time course of 95% Area, X and Y Amplitude Sway during postural training.

    Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  10. 110
    Correlations between unipedal and bipedal stance parameters recorded at the beginning of the training and of the control session.

    Correlations between unipedal and bipedal stance parameters recorded at the beginning of the training and of the control session. by Cristina Dolciotti (16317330)

    Published 2025
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  11. 111
    Flow diagram.

    Flow diagram. by Cristina Dolciotti (16317330)

    Published 2025
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  12. 112
    Significantly changed USSs in the sf3b1 mutants.

    Significantly changed USSs in the sf3b1 mutants. by Bei Zhang (428038)

    Published 2021
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  13. 113
    Interaction of significantly changed genes and their linked pathways.

    Interaction of significantly changed genes and their linked pathways. by Mohamad Ammar Ayass (13775290)

    Published 2022
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  14. 114
    Odds ratio for statistically significant variables for all logistic regression models.

    Odds ratio for statistically significant variables for all logistic regression models. by Maciej Zastempowski (10974962)

    Published 2021
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  15. 115
    Significant differences in PET parameters according to other clinical variables.

    Significant differences in PET parameters according to other clinical variables. by Yong-Jin Park (391031)

    Published 2022
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  16. 116
    Table_4_Anticyclonic Eddy Driving Significant Changes in Prokaryotic and Eukaryotic Communities in the South China Sea.XLSX

    Table_4_Anticyclonic Eddy Driving Significant Changes in Prokaryotic and Eukaryotic Communities in the South China Sea.XLSX by Fulin Sun (4276096)

    Published 2022
    “…In this study, bacterial and eukaryotic community composition was examined across an ACE in the South China Sea, using high-throughput sequencing of the 16S rRNA and 18S rRNA gene. Environmental variables reflected the hydrographic characteristics of the ACE, which enhanced bacterial diversity and eukaryotic diversity in most water layers, relative to adjacent regions. …”
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  17. 117
    Table_1_Anticyclonic Eddy Driving Significant Changes in Prokaryotic and Eukaryotic Communities in the South China Sea.XLSX

    Table_1_Anticyclonic Eddy Driving Significant Changes in Prokaryotic and Eukaryotic Communities in the South China Sea.XLSX by Fulin Sun (4276096)

    Published 2022
    “…In this study, bacterial and eukaryotic community composition was examined across an ACE in the South China Sea, using high-throughput sequencing of the 16S rRNA and 18S rRNA gene. Environmental variables reflected the hydrographic characteristics of the ACE, which enhanced bacterial diversity and eukaryotic diversity in most water layers, relative to adjacent regions. …”
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  18. 118
    Table_4_Anticyclonic Eddy Driving Significant Changes in Prokaryotic and Eukaryotic Communities in the South China Sea.XLSX

    Table_4_Anticyclonic Eddy Driving Significant Changes in Prokaryotic and Eukaryotic Communities in the South China Sea.XLSX by Fulin Sun (4276096)

    Published 2022
    “…In this study, bacterial and eukaryotic community composition was examined across an ACE in the South China Sea, using high-throughput sequencing of the 16S rRNA and 18S rRNA gene. Environmental variables reflected the hydrographic characteristics of the ACE, which enhanced bacterial diversity and eukaryotic diversity in most water layers, relative to adjacent regions. …”
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  19. 119
    Table_2_Anticyclonic Eddy Driving Significant Changes in Prokaryotic and Eukaryotic Communities in the South China Sea.XLSX

    Table_2_Anticyclonic Eddy Driving Significant Changes in Prokaryotic and Eukaryotic Communities in the South China Sea.XLSX by Fulin Sun (4276096)

    Published 2022
    “…In this study, bacterial and eukaryotic community composition was examined across an ACE in the South China Sea, using high-throughput sequencing of the 16S rRNA and 18S rRNA gene. Environmental variables reflected the hydrographic characteristics of the ACE, which enhanced bacterial diversity and eukaryotic diversity in most water layers, relative to adjacent regions. …”
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  20. 120
    Table_3_Anticyclonic Eddy Driving Significant Changes in Prokaryotic and Eukaryotic Communities in the South China Sea.XLSX

    Table_3_Anticyclonic Eddy Driving Significant Changes in Prokaryotic and Eukaryotic Communities in the South China Sea.XLSX by Fulin Sun (4276096)

    Published 2022
    “…In this study, bacterial and eukaryotic community composition was examined across an ACE in the South China Sea, using high-throughput sequencing of the 16S rRNA and 18S rRNA gene. Environmental variables reflected the hydrographic characteristics of the ACE, which enhanced bacterial diversity and eukaryotic diversity in most water layers, relative to adjacent regions. …”
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    Saved in:

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