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Showing 14,981 - 15,000 results of 15,141 for search '(( significantly increased decrease ) OR ( significant potential decrease ))', query time: 0.52s Refine Results
  1. 14981
    spss data sheet for research work titled "PHYSICAL ACTIVITY AND HEALTHY EATING HABITS IN RELATION TO BODY ADIPOSITY INDEX AMONG OFFICE WORKERS IN THE PROVINCE OF KHYBER PAKHTUNKHWA,PAKISTAN: A CROSS-SECTIONAL ANALYTICAL STUDY"

    spss data sheet for research work titled "PHYSICAL ACTIVITY AND HEALTHY EATING HABITS IN RELATION TO BODY ADIPOSITY INDEX AMONG OFFICE WORKERS IN THE PROVINCE OF KHYBER PAKHTUNKHWA... by Ramsha Habib (22085864)

    Published 2025
    “…<b>Conclusions:</b> Physical activity and healthy eating habits have an inverse relation with BAI. Increase in physical activity decreases the BAI value and vice versa. …”
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  2. 14982
    Data Sheet 2_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 2_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  3. 14983
    Data Sheet 4_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 4_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  4. 14984
    Data Sheet 1_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 1_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  5. 14985
    Data Sheet 1_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 1_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  6. 14986
    Data Sheet 5_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 5_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  7. 14987
    Supplementary file 1_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.pdf

    Supplementary file 1_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.pdf by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  8. 14988
    Supplementary file 2_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.pdf

    Supplementary file 2_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.pdf by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  9. 14989
    Data Sheet 9_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 9_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  10. 14990
    Data Sheet 6_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 6_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  11. 14991
    Data Sheet 8_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 8_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  12. 14992
    Data Sheet 1_Global burden, trends and inequalities of maternal hypertensive disorders among reproductive-age women of advanced maternal age, 1990–2021: a population-based study.pdf

    Data Sheet 1_Global burden, trends and inequalities of maternal hypertensive disorders among reproductive-age women of advanced maternal age, 1990–2021: a population-based study.pd... by Xuanyu Zhao (5881895)

    Published 2025
    “…</p>Conclusion<p>Despite overall declines in MHD burden, significant disparities persist, particularly in low SDI regions. …”
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  13. 14993
    Quantifying bactericidal effects of cold Ar-CAPP against diverse <i>E. coli</i> strains.

    Quantifying bactericidal effects of cold Ar-CAPP against diverse <i>E. coli</i> strains. by Elanie F. Briggs (22103678)

    Published 2025
    “…<p><b>(A)</b> Increasing the gas flow rate and time durations of exposure of cells yields more killing by cold Ar-CAPP when applying 6 kV. …”
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  14. 14994
    Data Sheet 3_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx

    Data Sheet 3_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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  15. 14995
    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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  16. 14996
    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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  17. 14997
    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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  18. 14998
    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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  19. 14999
    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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  20. 15000
    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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