Showing 27,201 - 27,220 results of 105,386 for search '(( 5 ((mean decrease) OR (a decrease)) ) OR ( e ((fold decrease) OR (point decrease)) ))', query time: 1.59s Refine Results
  1. 27201

    Image_2_Microglia Express Insulin-Like Growth Factor-1 in the Hippocampus of Aged APPswe/PS1ΔE9 Transgenic Mice.TIF by Christa Løth Myhre (7055969)

    Published 2019
    “…By double in situ hybridization these were shown to be IGF1 mRNA<sup>+</sup> CD11b mRNA<sup>+</sup> cells, i.e., IGF-1 mRNA-expressing microglia. Quantification showed a 2-fold increase in the number of microglia and IGF-1 mRNA-expressing microglia in the molecular layer of the dentate gyrus in aged APP<sub>swe</sub>/PS1<sub>ΔE9</sub> Tg mice. …”
  2. 27202

    Image_8_Microglia Express Insulin-Like Growth Factor-1 in the Hippocampus of Aged APPswe/PS1ΔE9 Transgenic Mice.TIF by Christa Løth Myhre (7055969)

    Published 2019
    “…By double in situ hybridization these were shown to be IGF1 mRNA<sup>+</sup> CD11b mRNA<sup>+</sup> cells, i.e., IGF-1 mRNA-expressing microglia. Quantification showed a 2-fold increase in the number of microglia and IGF-1 mRNA-expressing microglia in the molecular layer of the dentate gyrus in aged APP<sub>swe</sub>/PS1<sub>ΔE9</sub> Tg mice. …”
  3. 27203

    Image_4_Microglia Express Insulin-Like Growth Factor-1 in the Hippocampus of Aged APPswe/PS1ΔE9 Transgenic Mice.TIF by Christa Løth Myhre (7055969)

    Published 2019
    “…By double in situ hybridization these were shown to be IGF1 mRNA<sup>+</sup> CD11b mRNA<sup>+</sup> cells, i.e., IGF-1 mRNA-expressing microglia. Quantification showed a 2-fold increase in the number of microglia and IGF-1 mRNA-expressing microglia in the molecular layer of the dentate gyrus in aged APP<sub>swe</sub>/PS1<sub>ΔE9</sub> Tg mice. …”
  4. 27204

    Image_1_Microglia Express Insulin-Like Growth Factor-1 in the Hippocampus of Aged APPswe/PS1ΔE9 Transgenic Mice.TIF by Christa Løth Myhre (7055969)

    Published 2019
    “…By double in situ hybridization these were shown to be IGF1 mRNA<sup>+</sup> CD11b mRNA<sup>+</sup> cells, i.e., IGF-1 mRNA-expressing microglia. Quantification showed a 2-fold increase in the number of microglia and IGF-1 mRNA-expressing microglia in the molecular layer of the dentate gyrus in aged APP<sub>swe</sub>/PS1<sub>ΔE9</sub> Tg mice. …”
  5. 27205

    Image_7_Microglia Express Insulin-Like Growth Factor-1 in the Hippocampus of Aged APPswe/PS1ΔE9 Transgenic Mice.TIF by Christa Løth Myhre (7055969)

    Published 2019
    “…By double in situ hybridization these were shown to be IGF1 mRNA<sup>+</sup> CD11b mRNA<sup>+</sup> cells, i.e., IGF-1 mRNA-expressing microglia. Quantification showed a 2-fold increase in the number of microglia and IGF-1 mRNA-expressing microglia in the molecular layer of the dentate gyrus in aged APP<sub>swe</sub>/PS1<sub>ΔE9</sub> Tg mice. …”
  6. 27206

    Image_6_Microglia Express Insulin-Like Growth Factor-1 in the Hippocampus of Aged APPswe/PS1ΔE9 Transgenic Mice.TIF by Christa Løth Myhre (7055969)

    Published 2019
    “…By double in situ hybridization these were shown to be IGF1 mRNA<sup>+</sup> CD11b mRNA<sup>+</sup> cells, i.e., IGF-1 mRNA-expressing microglia. Quantification showed a 2-fold increase in the number of microglia and IGF-1 mRNA-expressing microglia in the molecular layer of the dentate gyrus in aged APP<sub>swe</sub>/PS1<sub>ΔE9</sub> Tg mice. …”
  7. 27207

    Image_3_Green pepper fruits counting based on improved DeepSort and optimized Yolov5s.jpeg by Pengcheng Du (216641)

    Published 2024
    “…In the CS_YOLOv5s model, a Slim-Nick combined with GSConv structure is utilized in the Neck to reduce model parameters while enhancing detection speed. …”
  8. 27208

    Image_2_Green pepper fruits counting based on improved DeepSort and optimized Yolov5s.jpeg by Pengcheng Du (216641)

    Published 2024
    “…In the CS_YOLOv5s model, a Slim-Nick combined with GSConv structure is utilized in the Neck to reduce model parameters while enhancing detection speed. …”
  9. 27209

    Image_1_Green pepper fruits counting based on improved DeepSort and optimized Yolov5s.jpeg by Pengcheng Du (216641)

    Published 2024
    “…In the CS_YOLOv5s model, a Slim-Nick combined with GSConv structure is utilized in the Neck to reduce model parameters while enhancing detection speed. …”
  10. 27210

    Image_4_Green pepper fruits counting based on improved DeepSort and optimized Yolov5s.jpeg by Pengcheng Du (216641)

    Published 2024
    “…In the CS_YOLOv5s model, a Slim-Nick combined with GSConv structure is utilized in the Neck to reduce model parameters while enhancing detection speed. …”
  11. 27211

    Table_4_Aneuploidy enables cross-tolerance to unrelated antifungal drugs in Candida parapsilosis.DOCX by Liu-liu Sun (15205327)

    Published 2023
    “…Although copy number of chitinase genes CHT3 and CHT4 was also increased to the trisomic level, the expression was buffered to the disomic level. Tolerance to 5-flucytosine might be due to the decreased expression of FUR1. …”
  12. 27212

    Table_2_Aneuploidy enables cross-tolerance to unrelated antifungal drugs in Candida parapsilosis.DOCX by Liu-liu Sun (15205327)

    Published 2023
    “…Although copy number of chitinase genes CHT3 and CHT4 was also increased to the trisomic level, the expression was buffered to the disomic level. Tolerance to 5-flucytosine might be due to the decreased expression of FUR1. …”
  13. 27213

    Table_3_Aneuploidy enables cross-tolerance to unrelated antifungal drugs in Candida parapsilosis.XLSX by Liu-liu Sun (15205327)

    Published 2023
    “…Although copy number of chitinase genes CHT3 and CHT4 was also increased to the trisomic level, the expression was buffered to the disomic level. Tolerance to 5-flucytosine might be due to the decreased expression of FUR1. …”
  14. 27214

    Image_1_Aneuploidy enables cross-tolerance to unrelated antifungal drugs in Candida parapsilosis.TIF by Liu-liu Sun (15205327)

    Published 2023
    “…Although copy number of chitinase genes CHT3 and CHT4 was also increased to the trisomic level, the expression was buffered to the disomic level. Tolerance to 5-flucytosine might be due to the decreased expression of FUR1. …”
  15. 27215

    Table_1_Aneuploidy enables cross-tolerance to unrelated antifungal drugs in Candida parapsilosis.DOCX by Liu-liu Sun (15205327)

    Published 2023
    “…Although copy number of chitinase genes CHT3 and CHT4 was also increased to the trisomic level, the expression was buffered to the disomic level. Tolerance to 5-flucytosine might be due to the decreased expression of FUR1. …”
  16. 27216

    Image_3_Aneuploidy enables cross-tolerance to unrelated antifungal drugs in Candida parapsilosis.TIF by Liu-liu Sun (15205327)

    Published 2023
    “…Although copy number of chitinase genes CHT3 and CHT4 was also increased to the trisomic level, the expression was buffered to the disomic level. Tolerance to 5-flucytosine might be due to the decreased expression of FUR1. …”
  17. 27217

    Image_2_Aneuploidy enables cross-tolerance to unrelated antifungal drugs in Candida parapsilosis.TIF by Liu-liu Sun (15205327)

    Published 2023
    “…Although copy number of chitinase genes CHT3 and CHT4 was also increased to the trisomic level, the expression was buffered to the disomic level. Tolerance to 5-flucytosine might be due to the decreased expression of FUR1. …”
  18. 27218

    Image_4_Aneuploidy enables cross-tolerance to unrelated antifungal drugs in Candida parapsilosis.TIFF by Liu-liu Sun (15205327)

    Published 2023
    “…Although copy number of chitinase genes CHT3 and CHT4 was also increased to the trisomic level, the expression was buffered to the disomic level. Tolerance to 5-flucytosine might be due to the decreased expression of FUR1. …”
  19. 27219
  20. 27220

    Untargeted Urinary Proteomics Uncovers Nephroprotective and Systemic Adaptations after Obesity Surgery-Induced Weight Loss by Pedro R. Pereira (6016460)

    Published 2025
    “…In particular, 54 proteins were either upregulated (<i>n</i> = 42) or downregulated (<i>n</i> = 12) by at least 50% (≥1.5-fold). Protein functional classification revealed associations with immune function (<i>n</i> = 17; e.g., protein S100-A9, α-1-acid glycoproteins); cytoskeleton/cell adhesion (<i>n</i> = 11; e.g., supervillin, ezrin, periplakin), and kidney adaptation (<i>n</i> = 11; e.g., elongation factor 1-α 1, megalin, cubilin). …”