Showing 2,481 - 2,500 results of 5,047 for search 'significantly ((((((lower decrease) OR (nn decrease))) OR (linear decrease))) OR (larger decrease))', query time: 0.57s Refine Results
  1. 2481

    Factors affecting LLINs usage at household level. by Job Oyweri (22041452)

    Published 2025
    “…Bed ownership was 50.8% in the pyrethroid-LLIN group and 55.3% in the PBO-LLIN group. Not owning a bed decreased the likelihood of net usage by 13.3% [aOR=0.867 (95% CI = 0.816–0.920), p < 0.001]. …”
  2. 2482

    Net usage across intervention arms. by Job Oyweri (22041452)

    Published 2025
    “…Bed ownership was 50.8% in the pyrethroid-LLIN group and 55.3% in the PBO-LLIN group. Not owning a bed decreased the likelihood of net usage by 13.3% [aOR=0.867 (95% CI = 0.816–0.920), p < 0.001]. …”
  3. 2483

    Factors associated with malaria infection. by Job Oyweri (22041452)

    Published 2025
    “…Bed ownership was 50.8% in the pyrethroid-LLIN group and 55.3% in the PBO-LLIN group. Not owning a bed decreased the likelihood of net usage by 13.3% [aOR=0.867 (95% CI = 0.816–0.920), p < 0.001]. …”
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    Differences in magnitude and velocity of decay of the different compartments of the viral reservoir. by Maria C. Puertas (8801768)

    Published 2025
    “…<p>A. The overall decrease in each fraction of the viral reservoir during the first year after ART initiation is expressed as the ratio of week 48 to baseline values. …”
  7. 2487

    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.…”
  8. 2488

    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.…”
  9. 2489

    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.…”
  10. 2490

    Grid division diagram. by Ming Zhang (9736)

    Published 2025
    “…Between the second and third sand-blocking fences, when the height of sand-blocking fence is 2.5m, the increase of wind speed is 13.87% lower than that of 2m height. The decrease is the largest, and sand particles are easy to deposit here in large quantities. …”
  11. 2491

    Model calculation diagram. by Ming Zhang (9736)

    Published 2025
    “…Between the second and third sand-blocking fences, when the height of sand-blocking fence is 2.5m, the increase of wind speed is 13.87% lower than that of 2m height. The decrease is the largest, and sand particles are easy to deposit here in large quantities. …”
  12. 2492

    Grid independence verification. by Ming Zhang (9736)

    Published 2025
    “…Between the second and third sand-blocking fences, when the height of sand-blocking fence is 2.5m, the increase of wind speed is 13.87% lower than that of 2m height. The decrease is the largest, and sand particles are easy to deposit here in large quantities. …”
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  19. 2499

    Optimisation of read depth, DNA quantity, and unique alternate observation threshold. by Melinda L. Tursky (20790436)

    Published 2025
    “…C: The association between expected VAF and observed VAF according to read depth. Lower read depth may contribute to an overestimated VAF of very small variants, although differences did not reach significance. …”
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