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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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Showing 1,661 - 1,680 results of 3,199 for search '(( significant decrease decrease ) OR ( significant positive decrease ))~', query time: 0.35s Refine Results
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  5. 1665

    Isolation and characterization of the <i>clr4–1</i> mutant strain. by Ziyue Liu (381532)

    Published 2025
    “…The X-axis represents the significance of the enriched annotations (-log<sub>10</sub><i>p</i>). …”
  6. 1666
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    Forest Plots, SROC Curve, and Diagnostic Performance Analyses of ctDNA Biomarkers for Early Pancreatic Cancer Detection. by Zeyi Zheng (16879938)

    Published 2025
    “…F: Fagan’s nomogram showing post-test probabilities for a pretest probability of 50%. A positive test increases the post-test probability to 91%, while a negative test decreases it to 27%. …”
  8. 1668

    Results for the EPIC bowel subscale and the EORTC QLQ PR25 bowel symptoms scale. by John N. Staffurth (20636565)

    Published 2025
    “…This is also reflected in the mean and median QoL scores (w.r.t. the right-hand axis), which decreased in magnitude with time also.</p>…”
  9. 1669
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  13. 1673

    Data (NICU - AMR Data set). by Biniyam Tedla Mamo (20598461)

    Published 2025
    “…More than half neonatal sepsis was caused by MDR organisms and associated with significant poor treatment outcomes. high prevalence of MDR-gram-negative bacteremia is alarming and highlights the need for the implementation of routine surveillance and infection control measures to decrease morbidity and mortality and to combat the development of antimicrobial resistance.…”
  14. 1674

    Patient characteristic. by Biniyam Tedla Mamo (20598461)

    Published 2025
    “…More than half neonatal sepsis was caused by MDR organisms and associated with significant poor treatment outcomes. high prevalence of MDR-gram-negative bacteremia is alarming and highlights the need for the implementation of routine surveillance and infection control measures to decrease morbidity and mortality and to combat the development of antimicrobial resistance.…”
  15. 1675

    Laboratory data. by Biniyam Tedla Mamo (20598461)

    Published 2025
    “…More than half neonatal sepsis was caused by MDR organisms and associated with significant poor treatment outcomes. high prevalence of MDR-gram-negative bacteremia is alarming and highlights the need for the implementation of routine surveillance and infection control measures to decrease morbidity and mortality and to combat the development of antimicrobial resistance.…”
  16. 1676
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    Prediction of transition readiness. by Sharon Barak (4803966)

    Published 2025
    “…Number of siblings positively correlated with and predicted most transition domains. …”
  18. 1678

    Appendices. by Tingting Cui (564531)

    Published 2024
    “…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”
  19. 1679

    Temporal change in average visitor vitality. by Tingting Cui (564531)

    Published 2024
    “…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”
  20. 1680

    Data source. by Tingting Cui (564531)

    Published 2024
    “…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”