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Showing 1 - 20 results of 9,732 for search '(( significantly greater decrease ) OR ( significantly ((higher decrease) OR (highest increase)) ))', query time: 0.45s Refine Results
  1. 1
    Graphs showing the mean maximum temperature increase at the position with the highest mean temperature increase (A) and the mean temperature increase across all probes (B) for each combination of drill system (MIPS and MONO) and drilling protocol (DP1-DP5).

    Graphs showing the mean maximum temperature increase at the position with the highest mean temperature increase (A) and the mean temperature increase across all probes (B) for each... by Marsel Ganeyev (21453399)

    Published 2025
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  2. 2
    Graphs showing the mean temperature increase at the positions with the highest mean temperature increase for the MIPS (A) and MONO (B) systems and three drilling protocols (DP1, DP2, and DP5) when drilling at feed rates of 0.5 and 2.0 mm/s and using a manual drilling procedure.

    Graphs showing the mean temperature increase at the positions with the highest mean temperature increase for the MIPS (A) and MONO (B) systems and three drilling protocols (DP1, DP... by Marsel Ganeyev (21453399)

    Published 2025
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  3. 3
    Increases in temperature for the two drill systems at different positions using different drilling procedures. The data in bold indicate the position where the highest mean temperature increase was registered. The data shown are the mean temperature increase ± SD in degrees centigrade. DP1-standard drilling, DP2-reduced irrigation, DP3-idling, DP4-idling with reduced irrigation, and DP5-no irrigation.

    Increases in temperature for the two drill systems at different positions using different drilling procedures. The data in bold indicate the position where the highest mean tempera... by Marsel Ganeyev (21453399)

    Published 2025
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  4. 4
    Increases in temperature for the two drill systems at different positions using different drilling procedures and feed rates. The data in bold indicate the position where the highest mean temperature increase was registered. The data shown are the mean temperature increase ± SD in degrees centigrade. DP1-standard drilling, DP2-reduced irrigation, DP3-idling, DP4-idling with reduced irrigation, and DP5-no irrigation.

    Increases in temperature for the two drill systems at different positions using different drilling procedures and feed rates. The data in bold indicate the position where the highe... by Marsel Ganeyev (21453399)

    Published 2025
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  5. 5
    Path analysis diagram illustrating the associations between alexithymia, social support, anticipated stigma and patient satisfaction, with their respective correlation coefficients. Solid lines represent a significant correlation is present. Dotted lines represent non-statistically significant correlations.

    Path analysis diagram illustrating the associations between alexithymia, social support, anticipated stigma and patient satisfaction, with their respective correlation coefficients... by Keya Bibikar (22386306)

    Published 2025
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  6. 6
    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit production per female tree, (C) seed production per female tree; and (D) seed weight. Farming system refers to ecological vs. conventional practices; CCA1 refers to the first axis of the CCA and depicts the relationship between the % of natural habitats in the landscape and the composition of the pollinator community (increase abundance of wild bees with the increase in natural habitats); Male-to-female ratio and Male-to-female ratio<sup>2</sup> indicate linear and quadratic terms, respectively. Significant <i>p</i>-values are marked in bold. RI was estimated by summing the Akaike weights over all the models where each explanatory variable appeared, and highlights the importance of these variables in the models [75].

    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

    Published 2025
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  7. 7
    Variation of the most appropriate p value significance threshold with different ratios of the standard deviations and sample sizes.

    Variation of the most appropriate p value significance threshold with different ratios of the standard deviations and sample sizes. by Farrokh Habibzadeh (12256529)

    Published 2025
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  8. 8
    <i>Ctsz</i><sup><i>−/−</i></sup> mice have higher lung burden and earlier spleen dissemination during acute infection followed by greater chronic inflammation and mortality risk.

    <i>Ctsz</i><sup><i>−/−</i></sup> mice have higher lung burden and earlier spleen dissemination during acute infection followed by greater chronic inflammation and mortality risk.... by Rachel K. Meade (22216529)

    Published 2025
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  9. 9
    Characteristics of census tracts that are projected to have high (groups: 250-399 and 400+) and low (groups: 50-99 and 100-249) MHC utilization for COVID-19 vaccination before March 31, 2021. Median values with IQR and p-values for significance difference in the medians are provided.

    Characteristics of census tracts that are projected to have high (groups: 250-399 and 400+) and low (groups: 50-99 and 100-249) MHC utilization for COVID-19 vaccination before Marc... by Fatih Gezer (21485468)

    Published 2025
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  10. 10
    Transepithelial resistance of NHBE decreases significantly after PAA exposure.

    Transepithelial resistance of NHBE decreases significantly after PAA exposure. by Ellie S. Burns (21246537)

    Published 2025
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  11. 11
    Summary map of all contacts with statistically significant SVM classifications.

    Summary map of all contacts with statistically significant SVM classifications. by Alexander P. Rockhill (6053618)

    Published 2024
    “…<p>The top row presents the proportion of significant SVM clusters. It illustrates what proportions of channels are significant at that time-frequency ranging from 0 to 1. …”
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  12. 12
    Structural equation model: Receiving kindness, giving kindness, reduced stress and well-being mediated by institutional identity.

    Structural equation model: Receiving kindness, giving kindness, reduced stress and well-being mediated by institutional identity. by K. Kanoho Hosoda (19929050)

    Published 2024
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  13. 13
    Demographics, correlation, and qualitative raw data.

    Demographics, correlation, and qualitative raw data. by K. Kanoho Hosoda (19929050)

    Published 2024
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  14. 14
    Ten essential elements of dignity with the associated items used in the kindness given and kindness received scales.

    Ten essential elements of dignity with the associated items used in the kindness given and kindness received scales. by K. Kanoho Hosoda (19929050)

    Published 2024
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  15. 15
    Structural equation models raw data.

    Structural equation models raw data. by K. Kanoho Hosoda (19929050)

    Published 2024
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  16. 16
    Intercorrelation matrix of kindness, institutional identity, stress, and well-being.

    Intercorrelation matrix of kindness, institutional identity, stress, and well-being. by K. Kanoho Hosoda (19929050)

    Published 2024
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  17. 17
    Model effects of receiving kindness on reduced stress and well-being mediated by institutional identity.

    Model effects of receiving kindness on reduced stress and well-being mediated by institutional identity. by K. Kanoho Hosoda (19929050)

    Published 2024
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  18. 18
    Model effects of giving kindness on reduced stress and well-being mediated by institutional identity.

    Model effects of giving kindness on reduced stress and well-being mediated by institutional identity. by K. Kanoho Hosoda (19929050)

    Published 2024
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  19. 19
    Conceptual model being tested in the current study.

    Conceptual model being tested in the current study. by K. Kanoho Hosoda (19929050)

    Published 2024
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  20. 20
    Summary of sample descriptive statistics.

    Summary of sample descriptive statistics. by K. Kanoho Hosoda (19929050)

    Published 2024
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