Showing 2,341 - 2,360 results of 18,089 for search 'significantly ((((((less decrease) OR (larger decrease))) OR (teer decrease))) OR (a decrease))', query time: 0.59s Refine Results
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    Demographics of the study population. by Sohyun Park (78358)

    Published 2024
    “…OBH was a significant independent predictor of iPD, with a cutoff of 1.52 mm. …”
  11. 2351

    Table 3 - by Sohyun Park (78358)

    Published 2024
    “…OBH was a significant independent predictor of iPD, with a cutoff of 1.52 mm. …”
  12. 2352
  13. 2353

    Ecological and Health Risk Mediated by Micro(nano)plastics Aging Process: Perspectives and Challenges by Kexiao Song (13003200)

    Published 2025
    “…However, a systematic review is lacking on the effects of aged MNPs on ecological and human health regarding the increasing but scattered studies and results. …”
  14. 2354

    Ecological and Health Risk Mediated by Micro(nano)plastics Aging Process: Perspectives and Challenges by Kexiao Song (13003200)

    Published 2025
    “…However, a systematic review is lacking on the effects of aged MNPs on ecological and human health regarding the increasing but scattered studies and results. …”
  15. 2355

    Patient enrollment and inclusion information. by Ruitian Song (11045127)

    Published 2025
    “…Patients who had undergone a shunt procedure exhibited a significantly reduced PVS compared to those who had not undergone the procedure. …”
  16. 2356
  17. 2357

    Study variables. by Amit Timilsina (15203538)

    Published 2025
    “…Change in forest cover between 2011 and 2016 was significantly associated with a reduced probability of diarrhoea by 3.39% (Δy/Δx: −0.0339, 95% CI: −0.0141, −0.0535; p-value: 0.001), after adjusting for all other variables. …”
  18. 2358

    Descriptive statistics. by Amit Timilsina (15203538)

    Published 2025
    “…Change in forest cover between 2011 and 2016 was significantly associated with a reduced probability of diarrhoea by 3.39% (Δy/Δx: −0.0339, 95% CI: −0.0141, −0.0535; p-value: 0.001), after adjusting for all other variables. …”
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