Showing 14,821 - 14,840 results of 15,659 for search '(( significant decrease decrease ) OR ( significantly i decrease ))~', query time: 0.39s Refine Results
  1. 14821

    <b>The taste of rebirth: a dual exploration of Wuhuang pork Flavoromics and metabolomics</b> by Yiting Yang (19262941)

    Published 2025
    “…Phosphatidyl acids, sphingolipids, nucleosides, nucleotides and their analogs were significantly different in the two muscles. Correlation analysis showed that the above metabolites and flavor substances were closely related to pH and meat color. …”
  2. 14822

    Table 2_Gut microbiota alterations in golden snub-nosed monkeys during food shortage and parturition-nursing periods.doc by Guanwei Lan (14131365)

    Published 2025
    “…We found that in adult males, gut microbiota diversity significantly decreased in food shortages and parturition-nursing period. …”
  3. 14823

    Adults with Type 2 Diabetes Benefit from Automated Insulin Delivery Irrespective of C-peptide Level by Irl B. Hirsch (16360604)

    Published 2025
    “…</p><p dir="ltr">Results: In the AID group, mean HbA1c decreased from baseline by 0.8% which was significantly greater than the control group with both high (P<0.001) and low C-peptide (P=0.02). …”
  4. 14824

    Data Sheet 2_Gut microbiota alterations in golden snub-nosed monkeys during food shortage and parturition-nursing periods.doc by Guanwei Lan (14131365)

    Published 2025
    “…We found that in adult males, gut microbiota diversity significantly decreased in food shortages and parturition-nursing period. …”
  5. 14825

    Table 5_Gut microbiota alterations in golden snub-nosed monkeys during food shortage and parturition-nursing periods.doc by Guanwei Lan (14131365)

    Published 2025
    “…We found that in adult males, gut microbiota diversity significantly decreased in food shortages and parturition-nursing period. …”
  6. 14826

    Natural selection diagram. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  7. 14827

    Improved optimization results. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  8. 14828

    Gene comparison map before and after mutation. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  9. 14829

    Recombinant gene map. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  10. 14830

    model comparison (Idle/%). by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  11. 14831

    Comparison chart of use of each node. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  12. 14832

    Original optimization results. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  13. 14833

    Selection of crossing point. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  14. 14834

    Operator parameter setting of improved GA. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  15. 14835

    Product supply sequence diagram. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  16. 14836

    Crossed offspring chromosomes. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  17. 14837

    GA iteration graph. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  18. 14838

    A comprehensive assessment of sustainable mortar containing tannery sludge and wheat straw fibre by Rkia Zari (22698213)

    Published 2025
    “…The incorporation of low WSF content into the mud mortar significantly improved the thermomechanical behaviour of the composite. …”
  19. 14839

    The state of each node after improvement. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
  20. 14840

    The state of each node before improvement. by Yanchun Li (248761)

    Published 2025
    “…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”