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Showing 2,721 - 2,740 results of 18,449 for search 'significant ((((greater decrease) OR (((a decrease) OR (nn decrease))))) OR (mean decrease))', query time: 0.70s Refine Results
  1. 2721
    Blood pressure, velocity, and volumetric flow rate (VFR) curves at left heart (LV: left ventricle, LA: left atrium, Av: aortic valve, Mv: mitral valve), right heart (RV: right ventricle, RA: right atrium, Pv: pulmonary valve, Tv: tricuspid valve), ductus arteriosus, aortic isthmus (AoI), middle cerebral artery, and umbilical artery obtained with the computational model at 100% (black), 80% (blue), 60% (purple) and 40% (red) of the reference aortic isthmus diameter size, for the combination of right-to-left ventricular end-diastolic volume ratio and ductus arteriosus dilation with minimum percentage of change compared to the healthy baseline.

    Blood pressure, velocity, and volumetric flow rate (VFR) curves at left heart (LV: left ventricle, LA: left atrium, Av: aortic valve, Mv: mitral valve), right heart (RV: right vent... by Inmaculada Villanueva-Baxarias (21454246)

    Published 2025
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  2. 2722
    Maternal and fetoplacental characteristics of the study population.

    Maternal and fetoplacental characteristics of the study population. by Inmaculada Villanueva-Baxarias (21454246)

    Published 2025
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  3. 2723
    Velocity tracings of the healthy controls in our cohort.)

    Velocity tracings of the healthy controls in our cohort.) by Inmaculada Villanueva-Baxarias (21454246)

    Published 2025
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  4. 2724
    Factors associated with practice regarding osteoporosis among the study participants.

    Factors associated with practice regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  5. 2725
    Comparison of the computational model’s healthy baseline simulated traces (black) with those obtained by ultrasound from control cases (grey), after manually tuning the model’s parameters to closely align with the confidence intervals (green).

    Comparison of the computational model’s healthy baseline simulated traces (black) with those obtained by ultrasound from control cases (grey), after manually tuning the model’s par... by Inmaculada Villanueva-Baxarias (21454246)

    Published 2025
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  6. 2726
    Factors associated with knowledge regarding osteoporosis among the study participants.

    Factors associated with knowledge regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  7. 2727
    Attitude regarding osteoporosis among the study participants.

    Attitude regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  8. 2728
    Knowledge regarding osteoporosis among the study participants.

    Knowledge regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  9. 2729
    PCA projection of variables related to bromatological composition, polyphenol content, methylxanthines and antioxidant activity in cocoa beans fermented in different cocoa bean processing plants in the department of Caquetá, Colombia.

    PCA projection of variables related to bromatological composition, polyphenol content, methylxanthines and antioxidant activity in cocoa beans fermented in different cocoa bean pro... by Andrés Felipe Ramírez González (19797070)

    Published 2024
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  10. 2730
    Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  11. 2731
    Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  12. 2732
    Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  13. 2733
    Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  14. 2734
    Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  15. 2735
    Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  16. 2736
    Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  17. 2737
    Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  18. 2738
    Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  19. 2739
    Image 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif

    Image 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  20. 2740
    Image 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif

    Image 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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