يعرض 1 - 20 نتائج من 6,867 نتيجة بحث عن '(( cam _ decrease ) OR ( _ ((values decrease) OR (larger decrease)) ))', وقت الاستعلام: 0.36s 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
    "…Each sample is a simulation of the entire assembly process for a scenario. Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. …"
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    Scheme of g-λ model with larger values λ. حسب Zhanfeng Fan (20390992)

    منشور في 2024
    "…And if the value of λ assumes larger values, the distortion in the shape of the transmitted wave is associated with the plastic deformation in the uncoupled rock mass. …"
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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. Bias decreases with increasing neurons in the population. …"
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    Differences among the classes of CAMs. حسب Daniel P. Bradley (10306893)

    منشور في 2025
    "…We propose that this class be called CAM-I, for <i>CAM-inhibitor</i>. These results lay the foundation for identifying bimodal HBV antivirals targeting the RNaseH and capsid assembly.…"
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    (A) Network map of the top ten anti-AD core targets and the top 30 KEGG pathways. The color of the pathway nodes changed from pink to light pink as the DC value decreased. (B) 19 core pathways with DC values (ranked by DC>  average value of (4.933)). حسب Shakeel Ahmad Khan (13202394)

    منشور في 2025
    "…The color of the pathway nodes changed from pink to light pink as the DC value decreased. (B) 19 core pathways with DC values (ranked by DC>  average value of (4.933)).…"
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    Ablation Experiment GradCAM Heatmap. حسب Chunhua Yang (346871)

    منشور في 2025
    "…Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
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