Showing 161 - 180 results of 19,992 for search '(( significant ((largest decrease) OR (larger decrease)) ) OR ( significant interactions through ))', query time: 0.88s Refine Results
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    <b>Nest mass in forest tits </b><b><i>Paridae</i></b><b> </b><b>increases with elevation and decreasing body mass, promoting reproductive success</b> by Clara Wild (19246606)

    Published 2025
    “…We found that nest mass increased by ~ 60% along the elevational gradient, but the effect of canopy openness on nest mass was not significant, while nest mass decreased along the ranked species from the smallest <i>Periparus ater</i> to the medium-sized <i>Cyanistes caeruleus</i> and the largest <i>Parus major</i>. …”
  15. 175

    Estimates for the interacting model. by Richard Kwame Ansah (18495578)

    Published 2025
    “…The interaction strength among women of reproductive age in urban areas with some education shows a negative estimate (-4.06%), suggesting that there is no significant imitative effect. …”
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    DataSheet_1_An Insight Into the Molecular Mechanism of Berberine Towards Multiple Cancer Types Through Systems Pharmacology.zip by Pengfei Guo (421384)

    Published 2019
    “…Statistical network models were developed for identification of new cancer indications of berberine through integration of DTIs and curated cancer significantly mutated genes (SMGs). …”
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    Table3_Revealing the dynamic landscape of drug-drug interactions through network analysis.xlsx by Eugene Jeong (6000674)

    Published 2023
    “…<p>Introduction: The landscape of drug-drug interactions (DDIs) has evolved significantly over the past 60 years, necessitating a retrospective analysis to identify research trends and under-explored areas. …”
  20. 180

    Table2_Revealing the dynamic landscape of drug-drug interactions through network analysis.xlsx by Eugene Jeong (6000674)

    Published 2023
    “…<p>Introduction: The landscape of drug-drug interactions (DDIs) has evolved significantly over the past 60 years, necessitating a retrospective analysis to identify research trends and under-explored areas. …”