Showing 121 - 140 results of 37,582 for search '(( 50 ng decrease ) OR ((( 50 nn decrease ) OR ( 5 ((mean decrease) OR (we decrease)) ))))', query time: 0.75s Refine Results
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    Structure of YOLOv5s-SBC. by Zhongjian Xie (4633099)

    Published 2024
    “…Compared to the original model, P-YOLOv5s-GRNF decreased parameters by 18%, decreased model size to 11.9MB, decreased FLOPs to 14.5G, and increased FPS by 4.3. …”
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    Table_1_A phased intervention bundle to decrease the mortality of patients with extracorporeal membrane oxygenation in intensive care unit.pdf by Yajun Jing (11711139)

    Published 2022
    “…</p>Results<p>The cohort included 297 patients in 6 ICUs, mostly VA ECMO (68.7%) with a median (25th–75th percentile) duration in ECMO of 9.0 (4.0–15.0) days. The mean (SD) APECHII score was 24.1 (7.5). Overall, the mortality of ECMO decreased from 57.1% at baseline to 21.8% at 13–18 months after implementation of the study intervention (P < 0.001). …”
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    Image2_A Novel Plant Leaf Patch Absorbed With IL-33 Antibody Decreases Venous Neointimal hyperplasia.TIFF by Boao Xie (11621803)

    Published 2021
    “…IL-33 plays a role in the neointimal formation after vascular injury. We hypothesized that plant leaves can absorb therapeutic drug solution and can be used as a patch with drug delivery capability, and plant leaves absorbed with IL-33 antibody can decrease venous neointimal hyperplasia in the rat IVC venoplasty model.…”
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    Image1_A Novel Plant Leaf Patch Absorbed With IL-33 Antibody Decreases Venous Neointimal hyperplasia.TIFF by Boao Xie (11621803)

    Published 2021
    “…IL-33 plays a role in the neointimal formation after vascular injury. We hypothesized that plant leaves can absorb therapeutic drug solution and can be used as a patch with drug delivery capability, and plant leaves absorbed with IL-33 antibody can decrease venous neointimal hyperplasia in the rat IVC venoplasty model.…”
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    Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

    Published 2020
    “…<p><b>(a)</b> Autocorrelation profiles of 53 key BO-NN features. Per feature, a black line shows the time point where the autocorrelation drops below .5. …”
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