Showing 1,101 - 1,120 results of 226,482 for search '(( a ((((teer decrease) OR (a decrease))) OR (linear decrease)) ) OR ( via large decrease ))', query time: 1.66s Refine Results
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    A Novel Primary Porcine Retinal Pigment Epithelium Cell Model with Preserved Properties by Dinna Zhou (17007894)

    Published 2023
    “…The RPE characteristics decreased and disappeared with transdifferentiation.…”
  12. 1112

    Decreased S100A9 expression alleviates Clostridium perfringens beta2 toxin-induced inflammatory injury in IPEC-J2 cells by Jie Li (13877648)

    Published 2022
    “…<p><strong>Decreased </strong><em><strong>S100A9</strong></em><strong> expression alleviates </strong><em><strong>Clostridium perfringens</strong></em><strong> beta2 toxin-induced inflammatory injury in IPEC-J2 cells</strong></p>…”
  13. 1113

    Overexpression of a dominant negative alpha2-annexin::GFP (D122A, D275A) decreases ventral flagellar waveform amplitude with only slight decreases in attachment. by Susan A. House (191265)

    Published 2011
    “…(<b>B</b>) Overexpression of the dominant negative alpha2-annexin (D122A, D275A), or alpha2-annexin dn, results in a ventral flagellar (vf) beat with significantly decreased amplitude (n = 25; see also <a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1002167#ppat.1002167.s004" target="_blank">Video S3</a>). …”
  14. 1114

    Assessing car-sharing as a circular economy strategy: the case of Taiwan by Hsiu-Ching Shih (2124013)

    Published 2025
    “…This study aims to develop a methodology that combines linear programming and a computable general equilibrium model to assess how consumer behavior affects the potential of car-sharing to replace private car usage in densely populated cities such as those in Taiwan and how the resultant potential influences the repercussion effect across industries. …”
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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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