يعرض 41 - 60 نتائج من 43,061 نتيجة بحث عن '(((( i large increases ) OR ( arl values decrease ))) OR ( ((i larger) OR (a large)) decrease ))', وقت الاستعلام: 1.68s تنقيح النتائج
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. حسب Gui Araujo (22170819)

    منشور في 2025
    "…(B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …"
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    Table 1_Nicotine dependence is associated with an increased risk of developing chronic, non-communicable inflammatory disease: a large-scale retrospective cohort study.docx حسب Khalaf Kridin (7523390)

    منشور في 2025
    "…Introduction<p>Chronic, non-communicable inflammatory diseases (CIDs) affect a large portion of the population, imposing a significant morbidity, encompassing a substantial mortality. …"
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    Image 1_Nicotine dependence is associated with an increased risk of developing chronic, non-communicable inflammatory disease: a large-scale retrospective cohort study.jpeg حسب Khalaf Kridin (7523390)

    منشور في 2025
    "…Introduction<p>Chronic, non-communicable inflammatory diseases (CIDs) affect a large portion of the population, imposing a significant morbidity, encompassing a substantial mortality. …"
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    Gravity-Guided Growth of Large-Area High-Quality Two-Dimensional Ruddlesden–Popper Perovskite Thin Films for Stable Ultraviolet Photodetectors حسب Tong Guo (158839)

    منشور في 2021
    "…This work provides a promising solution for scalable fabrication of the large-area high-quality 2D perovskite thin films that can serve as a good candidate for stable photodetectors.…"
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    Data_Sheet_1_The Proximal Drivers of Large Fires: A Pyrogeographic Study.docx حسب Hamish Clarke (8666307)

    منشور في 2020
    "…As in most fire-prone environments, the majority of annual burned area is due to a relatively small number of large fires. We train and test an Artificial Neural Network’s ability to predict spatial patterns in the probability of large fires (>1,250 ha) in forests and grasslands as a function of proxies of the four major controls on fire activity. …"
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