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Showing 1,061 - 1,080 results of 1,715 for search '(( ((significant decrease) OR (significant increase)) decrease ) OR ( significant non decrease ))~', query time: 0.46s Refine Results
  1. 1061
    Image 1_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 1_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  2. 1062
    Image 2_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 2_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  3. 1063
    Image 5_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 5_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  4. 1064
    Image 6_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 6_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  5. 1065
    Image 3_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 3_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  6. 1066
    Data Sheet 1_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx

    Data Sheet 1_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  7. 1067
    Image 4_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 4_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  8. 1068
    Data Sheet 2_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx

    Data Sheet 2_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  9. 1069
    Docetaxel and quercetin-loaded lipid nanocarrier optimized by quality by design for glioblastoma therapy: a ligand-conjugated and therapeutic repurposing approach

    Docetaxel and quercetin-loaded lipid nanocarrier optimized by quality by design for glioblastoma therapy: a ligand-conjugated and therapeutic repurposing approach by Zufika Qamar (22259678)

    Published 2025
    “…Optimized NLCs exhibited globule size < 200 nm, a polydispersity index ≡ 0.2, zeta potential between −5 and −25 mV, and entrapment efficiency > 85%. Compared to non-conjugated NLC and (DTX-QUR) suspension (SUS), Tf-(DTX-QUR) NLC showed 3.6- and 5.8-fold decrease in IC<sub>50</sub>, respectively. …”
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  10. 1070
    Image 6_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif

    Image 6_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
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  11. 1071
    Table 3_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.xlsx

    Table 3_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.xlsx by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
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  12. 1072
    Image 3_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif

    Image 3_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
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  13. 1073
    Table 7_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.xls

    Table 7_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.xls by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
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  14. 1074
    Image 2_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif

    Image 2_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
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  15. 1075
    Image 1_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif

    Image 1_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
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  16. 1076
    Table 8_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.xls

    Table 8_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.xls by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
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  17. 1077
    Table 9_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.xls

    Table 9_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.xls by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
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  18. 1078
    Image 7_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif

    Image 7_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
    Save to List
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  19. 1079
    Table 5_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.xlsx

    Table 5_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.xlsx by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
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  20. 1080
    Image 4_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif

    Image 4_Integrative RNA-seq and CLIP-seq analysis reveals hnRNP-F regulation of TNFα/NFκB signaling in high-glucose conditions.tif by Lan Wang (85307)

    Published 2025
    “…Conversely, this upregulation led to a significant increase in alternative splicing events of genes implicated in DKD, such as hnRNPA2B1, OSML, UGT2B7, TRIP6, and IRF3. …”
    Save to List
    Saved in:

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