Showing 6,961 - 6,980 results of 7,123 for search '(( significant ((changes decrease) OR (largest decrease)) ) OR ( significant part decrease ))', query time: 0.55s Refine Results
  1. 6961

    Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

    Published 2025
    “…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
  2. 6962

    Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

    Published 2025
    “…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
  3. 6963

    Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

    Published 2025
    “…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
  4. 6964

    Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

    Published 2025
    “…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
  5. 6965

    Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

    Published 2025
    “…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
  6. 6966

    Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

    Published 2025
    “…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
  7. 6967

    Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

    Published 2025
    “…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
  8. 6968

    An Anti-Inflammatory and Antioxidant Patch Based on Injectable Bioadhesive Hydrogel Prevents Postoperative Atrial Fibrillation by Wei-Qi Lu (445130)

    Published 2025
    “…In a rat pericarditis model, this localized system significantly reduced atrial inflammation and oxidative stress, promoted anti-inflammatory M2 macrophage polarization, enhanced electrical stability, and markedly decreased POAF susceptibility.…”
  9. 6969

    An Anti-Inflammatory and Antioxidant Patch Based on Injectable Bioadhesive Hydrogel Prevents Postoperative Atrial Fibrillation by Wei-Qi Lu (445130)

    Published 2025
    “…In a rat pericarditis model, this localized system significantly reduced atrial inflammation and oxidative stress, promoted anti-inflammatory M2 macrophage polarization, enhanced electrical stability, and markedly decreased POAF susceptibility.…”
  10. 6970
  11. 6971

    Table 1_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.xls by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  12. 6972

    Image 13_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  13. 6973

    Image 1_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  14. 6974
  15. 6975

    Image 12_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  16. 6976

    Image 11_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  17. 6977

    Image 2_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  18. 6978
  19. 6979

    Image 10_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  20. 6980

    Image 9_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”