Showing 3,961 - 3,980 results of 7,071 for search 'significantly ((((lower decrease) OR (linear decrease))) OR (mean decrease))', query time: 0.41s Refine Results
  1. 3961

    Model diagnostics for male death events. by Xin Zhang (35492)

    Published 2025
    “…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”
  2. 3962

    Acoustic Startle at 28 dpf. by Morgan Barnes (7876373)

    Published 2025
    “…(C) There is a significant decrease of PPI in the 48+ and 72 + fish (p < 0.0001). …”
  3. 3963

    Analysis of differential microbiome and classification prediction model between case and control groups. by Chuan Zhang (187157)

    Published 2025
    “…The relative importance of each genus in the predictive model was evaluated using the mean decreasing accuracy and the Gini coefficient.…”
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  6. 3966

    Alternative representation of daunorubicin fluorescence testing of novel inhibitors. by Lauren A. McCormick (20540638)

    Published 2025
    “…Note that for compound 78, the significance denotes a significant decrease in fluorescence.…”
  7. 3967

    Fig S1. by Leonardo Santos (477304)

    Published 2025
    “…Data are presented as mean ± SD (n = 4 per group). Statistical significance was determined using an unpaired t-test. …”
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  15. 3975

    Absolute β convergence results. by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
  16. 3976

    Conditional β convergence results. by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
  17. 3977

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
  18. 3978

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
  19. 3979

    Regression results. by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
  20. 3980