يعرض 1 - 20 نتائج من 16,537 نتيجة بحث عن '(((( b ((large degree) OR (change degree)) ) OR ( via larger decrease ))) OR ( a large decrease ))', وقت الاستعلام: 1.03s تنقيح النتائج
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    Global temperature anomaly is unaffected by low network degree at a high number of group messages. حسب Athira Satheesh Kumar (20570553)

    منشور في 2025
    "…<p>Parameter plane showing the changes in (a) rejector population and (b) temperature anomaly due to the variation in the average number of messages transmitted per group () and the average degree of the network (<i>k</i>). …"
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    Effect of <i>glgB</i>/GASBD fusion gene expression on increased branching degree of potato starch and changes in physicochemical properties of starch حسب Yun-Feng Zhang (6386312)

    منشور في 2020
    "…An increase in the degree of branching of the starch results in a specific change in the physical and chemical properties and functional properties of the starch.…"
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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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    Parallel bond model. حسب Yanan Sun (316649)

    منشور في 2025
    الموضوعات:
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    Meso-parameters of numerical simulation. حسب Yanan Sun (316649)

    منشور في 2025
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    The simulated freeze-thaw cycle process. حسب Yanan Sun (316649)

    منشور في 2025
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    China’s degree change. حسب Xinxin Xu (690528)

    منشور في 2019
    "…<p>(a) Panel A shows China’s degree change from 2005 to 2016; the blue histogram indicates an increase, and the red histogram indicates a decrease, and the value above the histogram is the degree change value. …"
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    Effect (<i>D</i>) of the intervention within demographic subgroups by race and ethnicity for 8 outcome measures, adjusting for pretest values, gender, and degree. حسب Linda H. Pololi (18176698)

    منشور في 2024
    "…Regression models controlled for the pre-intervention value of the outcome variable (excluding Self-assessed change in vitality), gender, URM, and degree, and included an interaction term between URM and intervention to assess for potential differences in intervention effects between URM and non-URM faculty subgroups.…"