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Showing 101 - 120 results of 18,885 for search '(( significant gap based ) OR ( significant ((main decrease) OR (small decrease)) ))', query time: 0.71s Refine Results
  1. 101
    MEG main effect of material: Word-faces.

    MEG main effect of material: Word-faces. by Marie-Christin Fellner (7053533)

    Published 2019
    “…<p>(A) Main effect of material: word versus face condition irrespective of memory: significant clusters (<i>p</i><sub>corr</sub> < 0.05) returned by a cluster permutation statistic clustering across sensors, frequencies (“Freq”), and channels. …”
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  2. 102
    Results from student questionnaires and statistical significance for deviation from neutral (Wilcoxon test).

    Results from student questionnaires and statistical significance for deviation from neutral (Wilcoxon test). by Orna Dahan (206232)

    Published 2019
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  3. 103
    Particle size distribution of GO-GA NPs.

    Particle size distribution of GO-GA NPs. by Huda H. Elbehery (22492996)

    Published 2025
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  4. 104
    Fourier-transform infrared spectroscopy (FTIR) spectra of GA (black), GO (blue), and GO–GA NPs (red).

    Fourier-transform infrared spectroscopy (FTIR) spectra of GA (black), GO (blue), and GO–GA NPs (red). by Huda H. Elbehery (22492996)

    Published 2025
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  5. 105
    Toxicity of GO and GO-GA NPs on <i>C. maculatus</i> adults after 24h exposure.

    Toxicity of GO and GO-GA NPs on <i>C. maculatus</i> adults after 24h exposure. by Huda H. Elbehery (22492996)

    Published 2025
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  6. 106
    Mean persistence (±SE) of GO and GO-GA NPs on <i>Callosobruchus maculatus.</i>

    Mean persistence (±SE) of GO and GO-GA NPs on <i>Callosobruchus maculatus.</i> by Huda H. Elbehery (22492996)

    Published 2025
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  7. 107
    Post-effect of GO and GO-GA NPs on progeny production of <i>Callosobruchus maculatus.</i>

    Post-effect of GO and GO-GA NPs on progeny production of <i>Callosobruchus maculatus.</i> by Huda H. Elbehery (22492996)

    Published 2025
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  8. 108
    Transmission electron micrographs of GA NPs (a) and GO-GA NPs (b).

    Transmission electron micrographs of GA NPs (a) and GO-GA NPs (b). by Huda H. Elbehery (22492996)

    Published 2025
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  9. 109
    Particle size distribution, PDI, and zeta potential of GO-GA NPs.

    Particle size distribution, PDI, and zeta potential of GO-GA NPs. by Huda H. Elbehery (22492996)

    Published 2025
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  10. 110
    PT<sub>50</sub> values of GO and GO-GA NPs against <i>Callosobruchus maculatus.</i>

    PT<sub>50</sub> values of GO and GO-GA NPs against <i>Callosobruchus maculatus.</i> by Huda H. Elbehery (22492996)

    Published 2025
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  11. 111
    Mortality of <i>C. maculatus</i> after 24h exposure to GO and GO-GA NPs.

    Mortality of <i>C. maculatus</i> after 24h exposure to GO and GO-GA NPs. by Huda H. Elbehery (22492996)

    Published 2025
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  12. 112
    Volatile constituents of Garlic essential oil identified by GC-MS.

    Volatile constituents of Garlic essential oil identified by GC-MS. by Huda H. Elbehery (22492996)

    Published 2025
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  13. 113
    GC-MS chromatogram of garlic essential oil.

    GC-MS chromatogram of garlic essential oil. by Huda H. Elbehery (22492996)

    Published 2025
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  14. 114
    Used in main and supplemental Figs.

    Used in main and supplemental Figs. by Timothy Carroll (3762841)

    Published 2022
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  15. 115
    Main characteristics of the included studies.

    Main characteristics of the included studies. by Yau Adamu (18004386)

    Published 2024
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  16. 116
    Structure of main components trans-anethole and fenchone.

    Structure of main components trans-anethole and fenchone. by Shawky M. Aboelhadid (11648635)

    Published 2021
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  17. 117
    Madrasin decreases transcription of protein-coding genes.

    Madrasin decreases transcription of protein-coding genes. by Michael Tellier (8284752)

    Published 2024
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  18. 118
    Descriptive statistics of the main variables (Shanghai).

    Descriptive statistics of the main variables (Shanghai). by Yaopei Wang (14046943)

    Published 2022
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  19. 119
    Descriptive statistics of the main variables (Kunshan).

    Descriptive statistics of the main variables (Kunshan). by Yaopei Wang (14046943)

    Published 2022
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  20. 120
    Words for describing activities that decrease and/or increase Subjective Well-Being.

    Words for describing activities that decrease and/or increase Subjective Well-Being. by August Håkan Nilsson (12937056)

    Published 2022
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