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Showing 101 - 120 results of 5,334 for search '(( i ((values decrease) OR (larger decrease)) ) OR ( via ((linear decrease) OR (mean decrease)) ))', query time: 0.50s Refine Results
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    Schematic for measuring <i>D</i> and <i>D</i>′ values. by Hong Zhang (25820)

    Published 2025
    “…A recommended median area factor of 1.43 is therefore proposed. The measured <i>I</i><sub>s</sub> decreases following a power-law trend as <i>β</i> and <i>D</i> increase, with weathering reducing the sensitivity of <i>I</i><sub>s</sub> to <i>β</i> but not significantly altering its sensitivity to <i>D</i>. …”
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    The results of linear mixed model. by Soheila Qanbari (20455173)

    Published 2024
    “…This study aimed to assess whether enhancing M1 and S1 excitability via tDCS, alongside sensory-motor exercises, offers additional benefits for CLBP patients.…”
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    Strain-Insensitive, Crosstalk-Suppressed, Ultrawide-Linearity Iontronic Tactile Skin from a Synergistic Segment-Embedded Strategy by Yanchao Zhao (5129174)

    Published 2025
    “…By tessellating hard and compliant elements within encapsulation layers, stretch deformation in the sensing region is reduced by 79%, and the overall mean stress is decreased by over 90%. Multilevel segmented spacers are proposed to provide vertical support while maintaining stretchability. …”
  11. 111

    Strain-Insensitive, Crosstalk-Suppressed, Ultrawide-Linearity Iontronic Tactile Skin from a Synergistic Segment-Embedded Strategy by Yanchao Zhao (5129174)

    Published 2025
    “…By tessellating hard and compliant elements within encapsulation layers, stretch deformation in the sensing region is reduced by 79%, and the overall mean stress is decreased by over 90%. Multilevel segmented spacers are proposed to provide vertical support while maintaining stretchability. …”
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    A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

    Published 2025
    “…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
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