Showing 101 - 120 results of 9,515 for search '(( significant ((level decrease) OR (greater decrease)) ) OR ( significant barrier decrease ))', query time: 0.36s Refine Results
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    Image 2_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif by Nuzhat Rahman (16660416)

    Published 2024
    “…The vaginal epithelium of G. vaginalis inoculated mice showed decreased DSG-1 staining compared to other groups, indicating compromised barrier function. …”
  3. 103

    Image 5_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif by Nuzhat Rahman (16660416)

    Published 2024
    “…The vaginal epithelium of G. vaginalis inoculated mice showed decreased DSG-1 staining compared to other groups, indicating compromised barrier function. …”
  4. 104

    Image 3_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif by Nuzhat Rahman (16660416)

    Published 2024
    “…The vaginal epithelium of G. vaginalis inoculated mice showed decreased DSG-1 staining compared to other groups, indicating compromised barrier function. …”
  5. 105

    Image 1_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif by Nuzhat Rahman (16660416)

    Published 2024
    “…The vaginal epithelium of G. vaginalis inoculated mice showed decreased DSG-1 staining compared to other groups, indicating compromised barrier function. …”
  6. 106

    Image 4_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif by Nuzhat Rahman (16660416)

    Published 2024
    “…The vaginal epithelium of G. vaginalis inoculated mice showed decreased DSG-1 staining compared to other groups, indicating compromised barrier function. …”
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    Top-level overview for ADHD classification study. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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