Showing 1 - 20 results of 52,214 for search '(( significant predictions based ) OR ( significant ((teer decrease) OR (mean decrease)) ))', query time: 1.03s Refine Results
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    The variables that significantly predicted litter clump weight in shelter cats. by Allison Andrukonis (11846404)

    Published 2025
    “…C) Fewer days in the study predicted greater urine output (p = .034). The black line represents the line of best fit based on the reduced model with marginal means. …”
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    Cat Stress Score (CSS) was significantly predicted by intake type and days in the study. by Allison Andrukonis (11846404)

    Published 2025
    “…B) More days in the study predicted lower CSS (<i>p</i> <  0.001). The black line represents the line of best fit based on the reduced model with marginal means. …”
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    Y-27632 collaborated with BA to attenuate the increase in the integrity and decrease in the permeability of epithelial barrier injury induced by LPS in Caco2 monolayers. by Luqiong Liu (11537092)

    Published 2024
    “…The values are expressed as the means ± SDs and were analyzed according to the variance of the factorial design. **, *** and ****denote <i>p</i> < 0.01, < 0.001 and < 0.0001, respectively; ns  =  not significant.…”
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    Transepithelial electrical resistance (TEER) (N = 6). by Shirko Marcel Shokr (19173337)

    Published 2024
    “…<p><b>(A)</b> During the cultivation of SMC and ALI we observed significantly differences on day 18 (SMC: 9.61 kΩ*cm<sup>2</sup>; ALI: 7.73 kΩ*cm<sup>2</sup>; p<0.05) and day 25 (SMC: 8.19 kΩ*cm<sup>2</sup>; ALI: 6.44 kΩ*cm<sup>2</sup>; p<0.05) ALI cultures showed significantly decreased values compared to SMC. …”
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    Charging station placement optimization based on the location significance prediction by Daria Matkovic (19539339)

    Published 2024
    “…To address this issue, we introduce a novel approach to optimize the placement of electric vehicle charging stations, integrating a novel location-based charging station significance prediction model with a lion optimization algorithm (LOA) where the significance is defined as the combination of charging energy and the number of sessions. …”
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