Showing 5,401 - 5,420 results of 18,343 for search 'significant ((((((gap decrease) OR (a decrease))) OR (greatest decrease))) OR (mean decrease))', query time: 0.69s Refine Results
  1. 5401

    Results of redundancy analysis. by Bianhua Zhang (22430652)

    Published 2025
    “…<div><p>In order to clarify the effects of long-term coal gangue(CG) dump on the surrounding soil bacterial community structure, we selected the CG dump formed during the mining of Tunlan coal mine in Gujiao city, Shanxi province in China as the study area to conduct a comprehensive study, the experimental design included six distinct zones: control soil area with no impaction (NC), undisturbed control sediment area (NL), atmospheric dry and wet deposition area (MC), upstream (MLS), midstream (MLZ) and downstream (MLX) in the leachate flow area (LFA), Using high-throughput sequencing technology and related software analysis, we obtained the following key findings: The heavy metal contents of Cr and Cd were different significantly in MC and NC (p < 0.05),Cr (90.18 mg·kg-1) in MC was higher than that in NC (65.29 mg·kg-1) (p < 0.05), while Cd (0.09 mg·kg-1) was lower than that in NC (0.14 mg·kg-1) (p < 0.05), and there was no significant differences in Cu, Zn, As and Pb between MC and NC (p > 0.05). …”
  2. 5402

    Unique intestinal microbiota in healthy shrimp. by Lalitphan Kitsanayanyong (19353505)

    Published 2025
    “…Likewise, β-diversity was significantly different between groups; PCoA of un-weighted and weighted UniFrac clearly distinguished intestinal microbiota of the shrimp into 2 clusters, and ANOSIM of these data revealed statistical differences between groups, suggesting different microbiota communities between healthy and diseased shrimp. …”
  3. 5403

    Unique intestinal microbiota in diseased shrimp. by Lalitphan Kitsanayanyong (19353505)

    Published 2025
    “…Likewise, β-diversity was significantly different between groups; PCoA of un-weighted and weighted UniFrac clearly distinguished intestinal microbiota of the shrimp into 2 clusters, and ANOSIM of these data revealed statistical differences between groups, suggesting different microbiota communities between healthy and diseased shrimp. …”
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  20. 5420