Showing 1 - 20 results of 42,933 for search '(( significant ((degs decrease) OR (we decrease)) ) OR ( significant attention increases ))', query time: 0.99s Refine Results
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    A total of 700 DEGs. by Wei He (131453)

    Published 2025
    “…Compared with normal tissues, AAD tissues exhibited a significant decrease in CD8 T cells and an increase in NK cells and macrophages.…”
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    Face-to-face angle (yaw rotation [deg]). by Atsushi Nakazawa (15892700)

    Published 2023
    “…The results showed that eye contact significantly increased and the face-to-face distance and angle decreased in the AR group, while the Doll group had no significant difference. …”
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    The expectation–attention interaction is significant for MSPCres but not MSPCstim. by Noam Gordon (661276)

    Published 2019
    “…The expectation–attention interaction was not significant for MSPCstim (χ2 = 3.47, <i>P</i> < 0.05) but was highly significant for MSPCres (χ2 = 19.56, <i>P</i> < 0.001). …”
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    All DEGs in wild-type and <i>atb’’αβγδ</i> plants. by Hyuk Sung Yoon (20208672)

    Published 2024
    “…Transcriptome analysis showed a significant decrease in the expression of <i>CYP707A3</i>, a gene potentially targeted by VIP1 that regulates abscisic acid (ABA) catabolism, in the <i>atb’’αβγδ</i> mutant compared to wild type leaves. …”
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    Top 10 significant functional annotations of up-regulated DEGs. by Meitner Cadena (22216261)

    Published 2025
    “…Functional annotations are ordered by decreasing significance, with color indicating significance according to the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…”
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    Top 10 significant functional annotations of down-regulated DEGs. by Meitner Cadena (22216261)

    Published 2025
    “…Functional annotations are ordered by decreasing significance, with color indicating significance level based on the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…”
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    EMA attention mechanism working principle. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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