Showing 141 - 160 results of 43,304 for search '(( i larger decrease ) OR ((( via ((point decrease) OR (nn decrease)) ) OR ( a large increases ))))', query time: 1.20s Refine Results
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    Large-Scale Spinning Approach to Engineering Knittable Hydrogel Fiber for Soft Robots by Xiangyu Duan (9535372)

    Published 2020
    “…This work not only demonstrates an example for the large-scale production of previous infeasible hydrogel fibers, but also provides a solution for the rational design and fabrication of hydrogel woven intelligent devices.…”
  6. 146

    Large-Scale Spinning Approach to Engineering Knittable Hydrogel Fiber for Soft Robots by Xiangyu Duan (9535372)

    Published 2020
    “…This work not only demonstrates an example for the large-scale production of previous infeasible hydrogel fibers, but also provides a solution for the rational design and fabrication of hydrogel woven intelligent devices.…”
  7. 147

    Large-Scale Spinning Approach to Engineering Knittable Hydrogel Fiber for Soft Robots by Xiangyu Duan (9535372)

    Published 2020
    “…This work not only demonstrates an example for the large-scale production of previous infeasible hydrogel fibers, but also provides a solution for the rational design and fabrication of hydrogel woven intelligent devices.…”
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    Propagation of a PP across in a large RPN (a), and SNR of a large RPN when inter-layer connection strengh and delay are changed (a). by Hedyeh Rezaei (9226021)

    Published 2020
    “…<b>(a)</b> The first layer of a large RPN was stimulated with a PP and it propagated to the 10<i>th</i> layer of the network within 2–3 oscillation cycles. …”
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    Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

    Published 2022
    “…More importantly, Norm ISWSVR also allows a low frequency of QCs, which could significantly decrease the burden of a large-scale experiment. …”
  19. 159

    Identification strength with a large number of moments by Hyojin Han (9269885)

    Published 2020
    “…We provide an understanding of the benefits of a large number of moments that compensate the weakness of individual moments by explicitly showing how an increasing number of moments improves the rate of convergence in GMM.…”
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