Showing 1 - 20 results of 30,616 for search '(((( a ((a decrease) OR (teer decrease)) ) OR ( _ last decrease ))) OR ( _ largest decrease ))', query time: 0.64s 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. …”
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    The sagittal view of T2-weighted Magnetic Resonance Imaging represented a mild decrease in spinal cord diameter without any other lesions at first admission. by Hossein Pourmontaseri (19329565)

    Published 2025
    “…<p>The sagittal view of T2-weighted Magnetic Resonance Imaging represented a mild decrease in spinal cord diameter without any other lesions at first admission.…”
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    The sagittal view of T2-weighted Magnetic Resonance Imaging represented a mildly decreased spinal cord diameter without any other lesions at follow-up. by Hossein Pourmontaseri (19329565)

    Published 2025
    “…<p>The sagittal view of T2-weighted Magnetic Resonance Imaging represented a mildly decreased spinal cord diameter without any other lesions at follow-up.…”
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    Configuration of the LastBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
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    Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx by Le Zhang (88249)

    Published 2025
    “…<p>Global damming of rivers strongly impacts the transport and characteristic of sediment, resulting in a significant reduction in the suspended sediment content (SSC) flowing into the downstream. …”
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    Confusion matrix for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”