Showing 1,461 - 1,480 results of 16,725 for search '(( significant increase decrease ) OR ( significant effects decrease ))', query time: 0.51s Refine Results
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    Significant gene set results from EGSEA. by Katherine M. Peterson (19746455)

    Published 2024
    “…The table consists of columns for Gene Set Name, Rank, P-value, adjusted P-value, the general direction (increased or decreased) of the gene expression, and Sample Day.…”
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    The correlogram. by Bingtao Su (4740009)

    Published 2025
    Subjects:
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    Dataset. by Bingtao Su (4740009)

    Published 2025
    Subjects:
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    Analysis of the significantly different metabolomic features. by Bhuripit Saraphol (20855573)

    Published 2025
    “…<b>(B)</b> Volcano plot highlighting the significantly different metabolomic features. The red dots represent the features with significantly increased intensity, and the purple dots represent the features with significantly decreased intensity. …”
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    Table 1_Prognostic significance of fibrinogen levels in sepsis-associated acute kidney injury: unveiling a nonlinear relationship and clinical implications.docx by Manqin Chen (20129541)

    Published 2024
    “…Particularly, when their fibrinogen levels were less than 1.6 g/l, a concomitant decrease in 28-day mortality was observed as fibrinogen levels increased.…”
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    Analysis of industry linkage 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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    Data. by Aroon La-up (14095691)

    Published 2025
    “…Osteoporosis prevalence remained stable in both males and females. The Linear Mixed-Effects Model analysis revealed significant associations between BMD and several factors: increasing age, female sex, diabetes status and BMI. …”
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    Nancy Index. by Leyla Tekin (21492873)

    Published 2025
    Subjects:
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