Showing 1 - 20 results of 34,592 for search '(( significantly value increases ) OR ( significant ((step decrease) OR (teer decrease)) ))', query time: 1.54s Refine Results
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    Y-27632 collaborated with BA to attenuate the increase in the integrity and decrease in the permeability of epithelial barrier injury induced by LPS in Caco2 monolayers. by Luqiong Liu (11537092)

    Published 2024
    “…<p>(<b>A)</b> Y-27632 collaborated with BA to attenuate the effect of LPS on TEER in Caco2 cells on days 1–22. (<b>B)</b> Y-27632 collaborated with BA to attenuate the effect of LPS on TEER in Caco2 cells on day 22. …”
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    Different steps of the fabrication process. by Md. Abu Daud (21485629)

    Published 2025
    “…The highest value of DTS, compressive strength was obtained for 15LZCM sample and lowest value of DTS, and compressive strength was observed for the 5LZCM sample. …”
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    Data for graphs (representative values). by Yahiko Takeuchi (4740036)

    Published 2024
    “…In both groups, the moment of neck lateral bending exhibited a significant negative correlation with the hip flexion angular velocity of the stepping leg. …”
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    Transepithelial electrical resistance (TEER) (N = 6). by Shirko Marcel Shokr (19173337)

    Published 2024
    “…<p><b>(A)</b> During the cultivation of SMC and ALI we observed significantly differences on day 18 (SMC: 9.61 kΩ*cm<sup>2</sup>; ALI: 7.73 kΩ*cm<sup>2</sup>; p<0.05) and day 25 (SMC: 8.19 kΩ*cm<sup>2</sup>; ALI: 6.44 kΩ*cm<sup>2</sup>; p<0.05) ALI cultures showed significantly decreased values compared to SMC. …”
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    Adjustment step size. by Qingnan Ji (22662198)

    Published 2025
    “…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”
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    Training steps of the improved YOLOv4-Tiny. by Fuxing He (19555871)

    Published 2024
    “…The results show that in the comparison experiments, the improved micro-miniature fourth-generation real-time target detection algorithm outperforms the traditional target detection algorithm, with the loss value decreasing to 1.54. Its average accuracy in multi-target recognition is dramatically increased to 86.74%, which is 22.36% higher than the original model, and the ping-pong ball recognition experiments show that it has an excellent accuracy in various lighting conditions, especially in low light, with an average accuracy of 89.12%. …”
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