Showing 16,941 - 16,960 results of 18,571 for search 'significant ((((mean decrease) OR (((we decrease) OR (greater decrease))))) OR (a decrease))', query time: 0.59s Refine Results
  1. 16941

    Quantitative results on WEDU dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  2. 16942

    Counting results on DRPD dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  3. 16943

    Quantitative results on RFRB dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  4. 16944

    Main module structure. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  5. 16945

    Counting results on MTDC-UAV dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  6. 16946

    Supplementary file 1_Exploring dupilumab for asthma: from mechanistic insights to clinical outcomes, safety, and cost-effectiveness.docx by Omar Z. Ameer (8900039)

    Published 2025
    “…Clinical trials have demonstrated significant reductions in asthma exacerbation rates, improvements in forced expiratory volume in one second (FEV<sub>1</sub>), and decreased oral corticosteroid (OCS) dependence in adults and children with moderate-to-severe asthma. …”
  7. 16947

    Quantitative results on DRPD dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  8. 16948

    Architecture of MAR-YOLOv9. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  9. 16949

    Quantitative results on MTDC-UAV dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  10. 16950

    Supplementary file 1_Global burden of HIV, syphilis, and HBV infection among women of childbearing age and children under five: based on the Global Burden of Diseases Study 2021.do... by Jia Lian (9469818)

    Published 2025
    “…</p>Conclusion<p>In 2021, the global disease burden of HIV, syphilis, and HBV infection remained high among WCBA and children under five, with significant regional and demographic disparities. These findings indicate a persistent public health challenge, necessitating continued global efforts to mitigate the burden through addressing socioeconomic inequalities, strengthening health education, and expanding healthcare access.…”
  11. 16951

    Counting results on WEDU dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  12. 16952

    Supplementary file 2_Exploring dupilumab for asthma: from mechanistic insights to clinical outcomes, safety, and cost-effectiveness.docx by Omar Z. Ameer (8900039)

    Published 2025
    “…Clinical trials have demonstrated significant reductions in asthma exacerbation rates, improvements in forced expiratory volume in one second (FEV<sub>1</sub>), and decreased oral corticosteroid (OCS) dependence in adults and children with moderate-to-severe asthma. …”
  13. 16953

    Example images from four plant datasets. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  14. 16954

    Counting results on RFRB dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  15. 16955

    Detection visualization results on WEDU dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  16. 16956

    Table 4_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  17. 16957

    Table 5_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  18. 16958

    Table 2_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  19. 16959

    Table 1_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  20. 16960

    Image 1_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.jpeg by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”