Showing 41 - 60 results of 23,263 for search '(((( c largest decrease ) OR ( a large decrease ))) OR ( ((c cases) OR (152 cases)) increased ))*', query time: 1.10s Refine Results
  1. 41

    Unexpected Parabolic Temperature Dependency of CH<sub>4</sub> Emissions from Rice Paddies by Haoyu Qian (800177)

    Published 2022
    “…Global warming is expected to affect methane (CH<sub>4</sub>) emissions from rice paddies, one of the largest human-induced sources of this potent greenhouse gas. …”
  2. 42
  3. 43
  4. 44
  5. 45
  6. 46
  7. 47
  8. 48
  9. 49
  10. 50
  11. 51
  12. 52
  13. 53
  14. 54
  15. 55

    Machine Learning Allowed Interpreting Toxicity of a Fe-Doped CuO NM Library Large Data SetAn Environmental In Vivo Case Study by Janeck J. Scott-Fordsmand (1869793)

    Published 2024
    “…Longer-term exposure should be a requirement in the hazard assessment of NMs in addition to the standard in OECD guidelines for chemicals. …”
  16. 56
  17. 57
  18. 58

    Large Hyperfine Coupling Arising from Pseudo‑<sup>2</sup>S Ground States in a Series of Lutetium(II) Metallocene Complexes by Danh X. Ngo (6110606)

    Published 2025
    “…Moreover, an extremely large splitting of the eight-line spectra indicates the presence of strong hyperfine coupling, and simulations provide isotropic hyperfine coupling constants of <i>A</i><sub>iso</sub> = 4.38, 4.30, and 4.17 GHz across the series, where the value of <i>A</i><sub>iso</sub> is found to decrease as the Cp–Lu–Cp angle becomes more acute. …”
  19. 59

    Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

    Published 2022
    “…More importantly, Norm ISWSVR also allows a low frequency of QCs, which could significantly decrease the burden of a large-scale experiment. …”
  20. 60

    The COVID-19 pandemic affects seasonality with increasing cases of new-onset type 1 diabetes in children from the worldwide SWEET registry by Felix Reschke (13532003)

    Published 2022
    “…<p>  </p> <p><strong>Aims: </strong>To analyze whether the COVID-19 pandemic increased the number of cases or impacted seasonality of new-onset type 1 diabetes (T1D) in large pediatric diabetes centers globally. …”