Showing 1 - 20 results of 174 for search '(( chain lower decrease ) OR ( ai ((marked decrease) OR (larger decrease)) ))', query time: 0.40s Refine Results
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    Quinoline-Based DNA Methyltransferase Inhibitors Featuring Basic Side Chains: Design, Synthesis, and Insight in Biochemical and Anticancer Cell Properties by Clemens Zwergel (1307868)

    Published 2025
    “…In isogenic HCT-116 P53<sup>–/–</sup> cells, <b>14</b> exhibited reduced antiproliferative activity, lower apoptosis, and decreased levels of cleaved Caspase 3, P53, and γH2AX, confirming its P53-dependent mechanism of action linked to DNA damage.…”
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    Chain drive specification parameters. by Bo Xie (669374)

    Published 2024
    “…The drag motion of the cable is correlated with the characteristics of the ring-chain drive, and the drag speed and tensile force exhibit periodic variations due to the polygonal effect of the chain drive. …”
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    Backbone Stitching in Bottlebrush Copolymer Mesodomains and the Impact of Side Chain Crystallization by Mingqiu Hu (11798625)

    Published 2025
    “…For loosely grafted BSCPs, the polymer backbone formed a distinct mesodomain, with a lower electron and mass density than both the PEO and PDMS domains. …”
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    Backbone Stitching in Bottlebrush Copolymer Mesodomains and the Impact of Side Chain Crystallization by Mingqiu Hu (11798625)

    Published 2025
    “…For loosely grafted BSCPs, the polymer backbone formed a distinct mesodomain, with a lower electron and mass density than both the PEO and PDMS domains. …”
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    Supplementary file 1_Herring oil rich in long-chain monounsaturated fatty acid (C22: 1n-11) lowers plasma lipids and modulates fatty acid composition, oxidation, and inflammation i... by Camilla H. Nundal (22319320)

    Published 2025
    “…Supplementation also increased hepatic and plasma levels of long-chain n-3, n-9, and n-11 MUFAs, including C22:1n-11, and decreased n-6 FA accumulation. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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