يعرض 81 - 100 نتائج من 37,175 نتيجة بحث عن '(((( ((c largest) OR (a large)) decrease ) OR ( b larger decrease ))) OR ( c rate increased ))', وقت الاستعلام: 1.53s تنقيح النتائج
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    Biases in larger populations. حسب Sander W. Keemink (21253563)

    منشور في 2025
    "…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …"
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    Supplementary Material for: Tea Consumption Is Associated with Decreased Disease Activity of Rheumatoid Arthritis in a Real-World, Large-Scale Study حسب Jin J. (3859486)

    منشور في 2020
    "…<b><i>Objectives:</i></b> The aim of this study was to explore the possible association of tea consumption with RA through a large-scale, real-world study. <b><i>Methods:</i></b> A total of 733 RA patients were investigated from June to December, 2016. …"
  6. 86

    <i>g</i> and <i>K</i><sub><i>c</i></sub> at different return air outlet heights. حسب Chao Li (145513)

    منشور في 2024
    "…Under corresponding experimental and simulation conditions, the particle concentration differences range from 2.0% to 12.7% for return air outlet <b><i>H</i></b> and from 12.4% to 33.2% for return air outlet <b><i>L</i></b>, and these differences gradually decrease with the air exchange rate (ACH) increases. …"
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    Slow rate adaptation increases population efficiency. حسب Helge Gleiss (7053491)

    منشور في 2019
    "…(B) Average fast and slow time constants of DRA in the LSO from double-exponential fitting: median tau(first) = 0.22 s, IQR: 1.465 s; median tau (second) = 2.2 s, IQR: 7.7 s. (C and D) Inclusion of a second time constant was superior to single time constant fitting of rate adaptation: the rmses of fits decreased (C; <i>P</i> = 0.001, paired Student <i>t</i> test, <i>n</i> = 13 neurons) and adjusted R<sup>2</sup>-values increased (D; <i>P</i> = 0.001, paired Student <i>t</i> test, <i>n</i> = 13 neurons). …"
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    In superadditive networks, more enhancers decrease noise and fidelity. حسب Alvaro Fletcher (15675430)

    منشور في 2023
    "…<p>(A) Superadditivity is implemented in our model by linearly increasing <i>k</i><sub>on</sub> rates and linearly decreasing <i>k</i><sub>off</sub> rates. …"
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