Showing 1 - 20 results of 18,035 for search '(( a ((peer decrease) OR (greater decrease)) ) OR ( i ((larger decrease) OR (marked decrease)) ))', query time: 0.73s Refine Results
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    Marking example. by Qingjun Yu (1649473)

    Published 2024
    “…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
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    Data_Sheet_1_Immune and Neuroendocrine Trait and State Markers in Psychotic Illness: Decreased Kynurenines Marking Psychotic Exacerbations.docx by Livia De Picker (8319105)

    Published 2020
    “…Increased CRP, CCL2, and IL1RA, and decreased KA and KA/Kyn are trait markers of psychotic illness.…”
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    The major role of <i>sarA</i> in limiting <i>Staphylococcus aureus</i> extracellular protease production <i>in vitro</i> is correlated with decreased virulence in diverse clinical... by Mara J. Campbell (14579826)

    Published 2023
    “…We also showed that mutation of <i>sarA</i> results in a greater increase in protease production, and decrease in biofilm formation, than mutation of the loci encoding any of these other proteins. …”
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    Analysis of peer effects. by Pengyu Yang (2668450)

    Published 2024
    “…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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