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Showing 1 - 20 results of 2,823 for search '(( shape memory decrease ) OR ( a ((larger decrease) OR (marked decrease)) ))', query time: 0.50s Refine Results
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    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
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    Heat-Resistant Shape Memory Fully Biobased Epoxy Resins with High Storage Modulus and Recycle Performance by Hubiao Yang (579341)

    Published 2024
    “…Results show that cured EFT<i>x</i> resins have excellent heat resistance, high mechanical properties, shape memory performance, and recycle ability. As <i>x</i> of EFT<i>x</i> resin increases, the glass transition temperature (<i>T</i><sub>g</sub>) and initial thermal decomposition temperature (<i>T</i><sub>di</sub>) decrease while both self-healing efficiency and remolding efficiency increase. …”
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

    Published 2025
    “…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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    Actual measurement of shape errors. by Zhe Hu (787283)

    Published 2025
    “…This study presents a novel Long Short-Term Memory (LSTM)-based methodology for real-time prediction and adaptive control of shape errors in launching processes. …”
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    Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

    Published 2024
    “…<div><p>This paper theoretically explores the propagation attenuation of normally incident P-waves on a single uncoupled joint exhibiting nonlinear deformation behavior. …”
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    Comprehensive prediction process of shape errors. by Zhe Hu (787283)

    Published 2025
    “…This study presents a novel Long Short-Term Memory (LSTM)-based methodology for real-time prediction and adaptive control of shape errors in launching processes. …”
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    Shape error manual calculation process. by Zhe Hu (787283)

    Published 2025
    “…This study presents a novel Long Short-Term Memory (LSTM)-based methodology for real-time prediction and adaptive control of shape errors in launching processes. …”
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    Shape error measurement results statistics. by Zhe Hu (787283)

    Published 2025
    “…This study presents a novel Long Short-Term Memory (LSTM)-based methodology for real-time prediction and adaptive control of shape errors in launching processes. …”
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    Repetitive stress induces a decrease in sound-evoked activity. by Ghattas Bisharat (20706928)

    Published 2025
    “…<p>(a) Left: noise-evoked activity rates at different noise intensities for chronically tracked PPys cells in baseline and repeated stress conditions (<i>N</i> = 5 mice, <i>n</i> = 285 neurons, mean ± SE). …”