Showing 61 - 80 results of 49,207 for search '(( significant component models ) OR ( significant ((we decrease) OR (linear decrease)) ))', query time: 1.05s Refine Results
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    Models 7 to 12: estimation results. by Sakar Hasan Hamza (20978818)

    Published 2025
    “…By employing this innovative approach, we uncover the complex interdependencies between economic freedom and tourism and highlight the significance of regional economic characteristics on the tourism sector’s health. …”
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    Models 1 to 6: estimation results. by Sakar Hasan Hamza (20978818)

    Published 2025
    “…By employing this innovative approach, we uncover the complex interdependencies between economic freedom and tourism and highlight the significance of regional economic characteristics on the tourism sector’s health. …”
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    <i>CTSZ</i> SNPs significantly associated with TB severity in Ugandan household contact study cohorts, sorted by ascending <i>p</i>-value. by Rachel K. Meade (22216529)

    Published 2025
    “…Allele effects were assessed using a linear mixed effect model in the R package kimma to account for sex, HIV status, and genotypic principal components 1 and 2. …”
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    Conceptual model. by Jacquelyn Y. Taylor (6386456)

    Published 2024
    “…To account for multiple testing, we will use FDR adjustment with a corrected p-value of <0.05 regarded as statistically significant. …”
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    The common chemical components of SG, SC, and SS. by Shen Huang (9967526)

    Published 2024
    “…Both SG and SC significantly decreased the thrombosis and increased blood flow velocity of zebrafish induced by adrenaline hydrochloride, inhibited myocardial apoptosis, myocardial infarction and myocardial inflammation in zebrafish induced by isoproterenol hydrochloride. …”
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    All TEAM Occupancy from Tropical mammal functional diversity increases with productivity but decreases with anthropogenic disturbance by Daniel Gorczynski (10093617)

    Published 2021
    “…We use occupancy values derived from the camera trap data to calculate occupancy-weighted functional diversity and use Bayesian generalized linear regression to determine the effects of multiple predictors. …”
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