Showing 3,761 - 3,780 results of 18,320 for search 'significantly ((((((lower decrease) OR (a decrease))) OR (nn decrease))) OR (teer decrease))', query time: 0.56s Refine Results
  1. 3761

    Comparison between juvenile and adult demyelination. by Sara Hijazi (21656615)

    Published 2025
    “…<p><b>A–I</b>. Juvenile demyelination leads to impairment in PV interneuron maturation whereas adult demyelination induces a decrease in the excitability of PV interneurons. …”
  2. 3762

    Store listing metrics and user acquisition. by Henri Claude Moungui (22227043)

    Published 2025
    “…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”
  3. 3763

    Installation, growth, and retention metrics. by Henri Claude Moungui (22227043)

    Published 2025
    “…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”
  4. 3764

    Implemented activities. by Henri Claude Moungui (22227043)

    Published 2025
    “…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”
  5. 3765

    App user retention trends. by Henri Claude Moungui (22227043)

    Published 2025
    “…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”
  6. 3766

    App user onboarding trends. by Henri Claude Moungui (22227043)

    Published 2025
    “…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”
  7. 3767

    App user base growth trends. by Henri Claude Moungui (22227043)

    Published 2025
    “…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”
  8. 3768
  9. 3769

    Bar chart of state-wise annual temperature shift. by MD. Nahid Hassan Nishan (22264861)

    Published 2025
    “…Across most states, a slight decrease in age at menarche was observed, with the exception of Maharashtra, which showed an increase. …”
  10. 3770

    Demographic characteristics of the participants. by MD. Nahid Hassan Nishan (22264861)

    Published 2025
    “…Across most states, a slight decrease in age at menarche was observed, with the exception of Maharashtra, which showed an increase. …”
  11. 3771
  12. 3772
  13. 3773
  14. 3774
  15. 3775
  16. 3776

    Sampling locations for banana aphids. by Aime Cheoh Enoh (20141758)

    Published 2024
    “…Four isolates (BIITAC6.2.2, BIITAC10.3.3, BIITAC8.1.5, and MIITAC6.2.2) were highly pathogenic, causing greater than 75% aphid mortality in all populations. A significant decrease in aphid fecundity was observed with BIITAC6.2.2, MIITAC6.2.2, and BIITAC10.3.3. …”
  17. 3777

    Covid Mzt. by Francisco Flores-de-Santiago (20391063)

    Published 2025
    “…Canonical analysis of principal coordinates during the lockdown year revealed two key patterns: (1) sewage and harbor areas displayed a significant decrease in CHLA levels alongside elevated TSMC2, while (2) mangrove forest exhibited markedly reduced CDOM in post-pandemic years. …”
  18. 3778

    PRISMA flow chart of the screening process. by Mohamed R. Abdelraouf (21501468)

    Published 2025
    “…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”
  19. 3779

    Forest plot of liver function tests. by Mohamed R. Abdelraouf (21501468)

    Published 2025
    “…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”
  20. 3780

    Subgroup analysis of BUN based on pump type. by Mohamed R. Abdelraouf (21501468)

    Published 2025
    “…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”