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Showing 20,741 - 20,760 results of 21,342 for search '(( significant decrease decrease ) OR ( significant ((i decrease) OR (a decrease)) ))', query time: 0.65s Refine Results
  1. 20741
    Bgh/GelMA/CMCS hydrogel with bone MSC-EVs for lunate defect repair

    Bgh/GelMA/CMCS hydrogel with bone MSC-EVs for lunate defect repair by Miaozhong Li (21626739)

    Published 2025
    “…In vivo, the M1/M2 ratio and inflammatory factors decreased significantly one-week post-implantation, while CD31 and VEGF-positive cells increased at four weeks, and BMP2 and OPN-positive cells at eight weeks. …”
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  2. 20742
    Image 9_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg

    Image 9_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg by Xiaqin Zhang (10211396)

    Published 2025
    “…Richness was significantly decreased from pre-treat to post-treat.…”
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  3. 20743
    Image 8_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg

    Image 8_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg by Xiaqin Zhang (10211396)

    Published 2025
    “…Richness was significantly decreased from pre-treat to post-treat.…”
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  4. 20744
    Image 5_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg

    Image 5_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg by Xiaqin Zhang (10211396)

    Published 2025
    “…Richness was significantly decreased from pre-treat to post-treat.…”
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  5. 20745
    Image 2_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg

    Image 2_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg by Xiaqin Zhang (10211396)

    Published 2025
    “…Richness was significantly decreased from pre-treat to post-treat.…”
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  6. 20746
    Image 3_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg

    Image 3_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg by Xiaqin Zhang (10211396)

    Published 2025
    “…Richness was significantly decreased from pre-treat to post-treat.…”
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  7. 20747
    Image 4_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg

    Image 4_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg by Xiaqin Zhang (10211396)

    Published 2025
    “…Richness was significantly decreased from pre-treat to post-treat.…”
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  8. 20748
    Image 11_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg

    Image 11_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg by Xiaqin Zhang (10211396)

    Published 2025
    “…Richness was significantly decreased from pre-treat to post-treat.…”
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  9. 20749
    Image 10_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg

    Image 10_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg by Xiaqin Zhang (10211396)

    Published 2025
    “…Richness was significantly decreased from pre-treat to post-treat.…”
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  10. 20750
    Image 7_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg

    Image 7_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg by Xiaqin Zhang (10211396)

    Published 2025
    “…Richness was significantly decreased from pre-treat to post-treat.…”
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  11. 20751
    Image 6_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg

    Image 6_Genomic, transcriptomic, and T cell receptor profiling in stratifying response to first-line chemoradiotherapy or radiotherapy for esophageal squamous cell carcinoma.jpeg by Xiaqin Zhang (10211396)

    Published 2025
    “…Richness was significantly decreased from pre-treat to post-treat.…”
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  12. 20752
    Overview of the comparative analysis of deconvolution model performances using synthetic spatial data in four different scenarios and six different mixture percentages.

    Overview of the comparative analysis of deconvolution model performances using synthetic spatial data in four different scenarios and six different mixture percentages. by Nuray Sogunmez Erdogan (21533872)

    Published 2025
    “…Except for Scenario 3, WISpR outperforms the other five models. In Scenario 3, a slightly better mean predictive performance was observed in RCTD model, where the distribution of errors between RCTD and WISpR displayed no statistical significance. …”
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  13. 20753
    Proteomic and Functional Analysis on Endothelial Cell Heterogeneity Identifies Key Regulators in Hyperglycemia-Induced Dysfunction-Supplemental Materials

    Proteomic and Functional Analysis on Endothelial Cell Heterogeneity Identifies Key Regulators in Hyperglycemia-Induced Dysfunction-Supplemental Materials by Morgan Minjares (21143203)

    Published 2025
    “…Furthermore, under high glucose conditions, WARS1 was increased while SOD2 was decreased. Reversing WARS1 or SOD2 expression levels improved HDMVEC migration and permeability functions. …”
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  14. 20754
    Image 2_Hyodeoxycholic acid modulates gut microbiota and bile acid metabolism to enhance intestinal barrier function in piglets.tif

    Image 2_Hyodeoxycholic acid modulates gut microbiota and bile acid metabolism to enhance intestinal barrier function in piglets.tif by Jie Chong (18433611)

    Published 2025
    “…Additionally, HDCA significantly upregulated ileal gene expression of CYP7A1 (cytochrome P450 family 7 subfamily A member 1) and TGR5 (G protein-coupled bile acid receptor 1) in both SPF-HDCA and OPM-HDCA groups compared to their respective controls (p < 0.05). …”
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  15. 20755
    Image 3_Hyodeoxycholic acid modulates gut microbiota and bile acid metabolism to enhance intestinal barrier function in piglets.tif

    Image 3_Hyodeoxycholic acid modulates gut microbiota and bile acid metabolism to enhance intestinal barrier function in piglets.tif by Jie Chong (18433611)

    Published 2025
    “…Additionally, HDCA significantly upregulated ileal gene expression of CYP7A1 (cytochrome P450 family 7 subfamily A member 1) and TGR5 (G protein-coupled bile acid receptor 1) in both SPF-HDCA and OPM-HDCA groups compared to their respective controls (p < 0.05). …”
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  16. 20756
    Table 4_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx

    Table 4_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

    Published 2025
    “…SHapley Additive exPlanations interpretability analysis revealed SUV39H1 as the dominant risk contributor, while GLUL exhibited a protective effect. …”
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  17. 20757
    Table 5_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx

    Table 5_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

    Published 2025
    “…SHapley Additive exPlanations interpretability analysis revealed SUV39H1 as the dominant risk contributor, while GLUL exhibited a protective effect. …”
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  18. 20758
    Table 2_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx

    Table 2_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

    Published 2025
    “…SHapley Additive exPlanations interpretability analysis revealed SUV39H1 as the dominant risk contributor, while GLUL exhibited a protective effect. …”
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  19. 20759
    Table 3_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx

    Table 3_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

    Published 2025
    “…SHapley Additive exPlanations interpretability analysis revealed SUV39H1 as the dominant risk contributor, while GLUL exhibited a protective effect. …”
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  20. 20760
    Image 3_Impact of social factors and health campaigns on the burden of idiopathic epilepsy: an inequality, decomposition, generalized and synthetic difference-in-differences study.pdf

    Image 3_Impact of social factors and health campaigns on the burden of idiopathic epilepsy: an inequality, decomposition, generalized and synthetic difference-in-differences study.... by Xuewen Rong (6242657)

    Published 2025
    “…The slope index of inequality for the mortality burden decreased from 1.97 to 1.62. After the policy shock, the age-standardized rate (ASR) of years lived with disability (YLD) in the Caribbean increased significantly to 4.59 (95% CI: 0.96 to 8.22), while the all-age YLD rate in the U.S. increased (5.18, 95% CI: 0.66 to 9.70) for both sexes.…”
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