Showing 1 - 20 results of 40,486 for search '(( significant shape based ) OR ( significant ((we decrease) OR (nn decrease)) ))', query time: 1.26s Refine Results
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    Contribution and significance of observed environmental factors shaping microbial community composition based on PERMANOVA. by Dini Adyasari (9040000)

    Published 2020
    “…<p>Contribution and significance of observed environmental factors shaping microbial community composition based on PERMANOVA.…”
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    Developmental shape changes in facial morphology: Geometric morphometric analyses based on a prospective, population-based, Chinese cohort in Hong Kong by Yi Feng Wen (638449)

    Published 2019
    “…<div><p>Background</p><p>Thorough understanding of developmental changes of human facial shape is lacking. The present study aimed to evaluate developmental shape changes of facial morphology based on a prospective, population-representative, Chinese cohort in Hong Kong.…”
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    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

    Published 2025
    “…By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”
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    Overview of the WeARTolerance program. by Ana Beato (20489933)

    Published 2024
    “…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …”
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    The interplay among the dimensionality of traits, the number of significant genetic loci, and the phenotypic variation. by Meng Yuan (548176)

    Published 2024
    “…<p>We compared nasal shape phenotypes (left columns) and full facial shape phenotypes (right columns) in terms of (a) the effective number of traits, (b) the effectiveness of identifying independent genetic loci through GWAS, and (c) the phenotypic variation captured by traits and their corresponding number of significant genetic loci in GWAS. …”
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