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Showing 141 - 160 results of 246,889 for search '(( significant results decrease ) OR ( significant differences a ))', query time: 2.40s Refine Results
  1. 141
    Expression level differences between constructs.

    Expression level differences between constructs. by Xinwen Zhu (14709669)

    Published 2023
    “…Two-tailed t-tests determined if the means were statistically different from zero (dashed line), n.s.: not significant, *: p<0.05. …”
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  2. 142
    Rotenone exposure decreases GSH level in porcine oocytes.

    Rotenone exposure decreases GSH level in porcine oocytes. by Geun Heo (14185618)

    Published 2022
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  3. 143
    Different hematological parameters at day 45 of trial of male Japanese quail exposed to acetochlor @ 0, 20, 30 and 40 mg/kg BW reared in groups A, B, C, and D respectively via crop tube for 45 days.

    Different hematological parameters at day 45 of trial of male Japanese quail exposed to acetochlor @ 0, 20, 30 and 40 mg/kg BW reared in groups A, B, C, and D respectively via crop... by Naveed Arshad (19712985)

    Published 2024
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  4. 144
    Different hematological parameters at day 30 of trial of male Japanese quail exposed to acetochlor @ 0, 20, 30 and 40 mg/kg BW reared in groups A, B, C, and D respectively via crop tube for 45 days.

    Different hematological parameters at day 30 of trial of male Japanese quail exposed to acetochlor @ 0, 20, 30 and 40 mg/kg BW reared in groups A, B, C, and D respectively via crop... by Naveed Arshad (19712985)

    Published 2024
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  5. 145
    Different hematological parameters at day 15 of trial of male Japanese quail exposed to acetochlor @ 0, 20, 30 and 40 mg/kg BW reared in groups A, B, C, and D respectively via crop tube for 45 days.

    Different hematological parameters at day 15 of trial of male Japanese quail exposed to acetochlor @ 0, 20, 30 and 40 mg/kg BW reared in groups A, B, C, and D respectively via crop... by Naveed Arshad (19712985)

    Published 2024
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  6. 146
    Pairwise permanova results.

    Pairwise permanova results. by Qianru Ye (18078522)

    Published 2024
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  7. 147
    table1_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx

    table1_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx by Gabriella Gálffy (177759)

    Published 2021
    “…All rates showed a declining trend between 2011 and 2016, with the largest decrease in the Northern Great Plain (−20.0%; p = 0.008). …”
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  8. 148
    table4_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx

    table4_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx by Gabriella Gálffy (177759)

    Published 2021
    “…All rates showed a declining trend between 2011 and 2016, with the largest decrease in the Northern Great Plain (−20.0%; p = 0.008). …”
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  9. 149
    table3_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx

    table3_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx by Gabriella Gálffy (177759)

    Published 2021
    “…All rates showed a declining trend between 2011 and 2016, with the largest decrease in the Northern Great Plain (−20.0%; p = 0.008). …”
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  10. 150
    image1_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.jpg

    image1_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.jpg by Gabriella Gálffy (177759)

    Published 2021
    “…All rates showed a declining trend between 2011 and 2016, with the largest decrease in the Northern Great Plain (−20.0%; p = 0.008). …”
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  11. 151
    image3_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.jpg

    image3_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.jpg by Gabriella Gálffy (177759)

    Published 2021
    “…All rates showed a declining trend between 2011 and 2016, with the largest decrease in the Northern Great Plain (−20.0%; p = 0.008). …”
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  12. 152
    image2_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.jpg

    image2_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.jpg by Gabriella Gálffy (177759)

    Published 2021
    “…All rates showed a declining trend between 2011 and 2016, with the largest decrease in the Northern Great Plain (−20.0%; p = 0.008). …”
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  13. 153
    table2_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx

    table2_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx by Gabriella Gálffy (177759)

    Published 2021
    “…All rates showed a declining trend between 2011 and 2016, with the largest decrease in the Northern Great Plain (−20.0%; p = 0.008). …”
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  14. 154
    MiRNA concentrations in different fractions of human blood.

    MiRNA concentrations in different fractions of human blood. by Dinesh S. Chandel (8039750)

    Published 2024
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  15. 155
    Unconditional quantile regression results.

    Unconditional quantile regression results. by Lingzhi Tan (19146572)

    Published 2024
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  16. 156
    Results of the baseline regression analysis.

    Results of the baseline regression analysis. by Lingzhi Tan (19146572)

    Published 2024
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  17. 157
    Examples of different stimuli for all subtasks of the task.

    Examples of different stimuli for all subtasks of the task. by Marcel F. Hinss (14675457)

    Published 2024
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  18. 158
    Summary results of Model 3: Condition index (mg/cm<sup>3</sup>), D<sub>0</sub> = starting density, Temp Dir = temperature (°C) direction (- = decreasing, 0 = stable, + = increasing), Chl-a = chlorophyll a, Turb = turbidity, used as proxy for hydrodynamics stress, n.s = non-significant.

    Summary results of Model 3: Condition index (mg/cm<sup>3</sup>), D<sub>0</sub> = starting density, Temp Dir = temperature (°C) direction (- = decreasing, 0 = stable, + = increasing), Chl-a = chlorophyll a, Turb = turbidity, used as proxy for hydrodynamics stress, n.s = non-significant. by Jacob J. Capelle (17240528)

    Published 2023
    “…<p>Summary results of Model 3: Condition index (mg/cm<sup>3</sup>), D<sub>0</sub> = starting density, Temp Dir = temperature (°C) direction (- = decreasing, 0 = stable, + = increasing), Chl-a = chlorophyll a, Turb = turbidity, used as proxy for hydrodynamics stress, n.s = non-significant.…”
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  19. 159
    Results of redundancy analysis.

    Results of redundancy analysis. by Bianhua Zhang (22430652)

    Published 2025
    Subjects: “…aggregation coefficient decreased…”
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  20. 160
    Group name and diet content of Sprague-Dawley (SD) breed rats.

    Group name and diet content of Sprague-Dawley (SD) breed rats. by Fatima Dikhanbayeva (11501962)

    Published 2021
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