Showing 3,501 - 3,520 results of 10,117 for search 'significantly ((((linear decrease) OR (we decrease))) OR (((greater decrease) OR (mean decrease))))', query time: 0.38s Refine Results
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    Experimental Investigation of Hydrodynamic Characteristics in Industrial Pulsed Liquid–Liquid Extraction Column by Xiucheng Yu (22634359)

    Published 2025
    “…The pulsed liquid–liquid extraction column holds significant importance in spent fuel reprocessing due to its sensitivity to operational parameters and internal hydrodynamic features. …”
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    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

    Published 2025
    “…By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”
  6. 3506

    Unraveling the Mechanism of 1‑Deoxynojirimycin (DNJ) Accumulation: The Role of SWEET3 in Mulberry Chloroplasts by Zhen Yang (107412)

    Published 2025
    “…Transient overexpression or RNA interference of <i>SWEET3</i> in mulberry leaves significantly increased or decreased DNJ levels, respectively, while stable overexpression in hairy roots enhanced DNJ accumulation. …”
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    Loxoprofen or SB225002 administration attenuated inflammatory pain in complete Freund’s adjuvant (CFA)-injected mice exposed to sound stress. by Satoka Kasai (3861115)

    Published 2025
    “…<b>(B)</b> SB225002 administration (3 mg/kg) significantly decreased the response times to filament in CFA + stress + saline group (60 min, <i>P</i> = 0.0037). …”
  20. 3520

    Benchmark regression results. 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. …”