Showing 761 - 780 results of 18,392 for search 'significant ((((mean decrease) OR (((we decrease) OR (nn decrease))))) OR (a decrease))', query time: 0.71s Refine Results
  1. 761
  2. 762

    Participants enrollment. by Chikondi Maluwa (20660522)

    Published 2025
    “…Among the 422 caregivers who participated in the study, 267 (63.2%) were females and mean age was 44.94 years. The baseline mean knowledge level score was 9.5 (38.0%) and rose to 21.08 (84.3%) p = 0.000 immediate post-health education and a 2.1% decrease 20.54 (82.2%) p<0.001 at week six from the immediate post health education score. …”
  3. 763

    KAP assessment scores (n = 422). by Chikondi Maluwa (20660522)

    Published 2025
    “…Among the 422 caregivers who participated in the study, 267 (63.2%) were females and mean age was 44.94 years. The baseline mean knowledge level score was 9.5 (38.0%) and rose to 21.08 (84.3%) p = 0.000 immediate post-health education and a 2.1% decrease 20.54 (82.2%) p<0.001 at week six from the immediate post health education score. …”
  4. 764
  5. 765
  6. 766
  7. 767

    Contact angle between solid and liquid. by Xinhui Luo (11880086)

    Published 2025
    “…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
  8. 768

    Diagram of the experimental equipment. by Xinhui Luo (11880086)

    Published 2025
    “…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
  9. 769

    Sedimentation experimental device. by Xinhui Luo (11880086)

    Published 2025
    “…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
  10. 770

    The wetting feature of compound solutions. by Xinhui Luo (11880086)

    Published 2025
    “…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
  11. 771

    Absorption peaks of groups. by Xinhui Luo (11880086)

    Published 2025
    “…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
  12. 772

    Infrared spectrogram of lignite. by Xinhui Luo (11880086)

    Published 2025
    “…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
  13. 773
  14. 774
  15. 775
  16. 776

    Baseline characteristics of participants. by Hyungjong Park (10147327)

    Published 2025
    “…In the multivariable Cox regression analysis, eGFR > 120 mL/min ∙ 1.73 m<sup>2</sup> was associated with a decreased risk of dyslipidemia (HR: 0.35; 95% CI [0.34–0.36]). …”
  17. 777

    Detailed information of the observation datasets. by Weidong Ji (129916)

    Published 2025
    “…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
  18. 778

    General technical specification for GW154/6700. by Weidong Ji (129916)

    Published 2025
    “…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
  19. 779
  20. 780

    S1 File - by Chantelle M. de Vet (16535257)

    Published 2024
    “…Repeated measurements analysis showed a significant decrease in variability of the LV- and RV-GLS score differences between the expert and trainees over time (<i>p</i><sub>adj</sub><0.001), which was not significantly different between trainees. …”