Showing 16,741 - 16,760 results of 18,435 for search 'significant ((((mean decrease) OR (((we decrease) OR (greatest decrease))))) OR (a decrease))', query time: 0.74s Refine Results
  1. 16741

    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. …”
  2. 16742

    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. …”
  3. 16743

    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. …”
  4. 16744

    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. …”
  5. 16745

    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. …”
  6. 16746

    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. …”
  7. 16747

    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. …”
  8. 16748

    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. …”
  9. 16749

    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. …”
  10. 16750

    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. …”
  11. 16751

    Table 9_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. …”
  12. 16752

    Table 8_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. …”
  13. 16753

    Table 6_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. …”
  14. 16754

    Table 7_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. …”
  15. 16755

    Table 3_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. …”
  16. 16756

    Table_1_Unraveling the key mechanisms of Gastrodia elata continuous cropping obstacles: soil bacteria Massilia, Burkholderia-Caballeronia-Paraburkholderia, and Dyella along with so... by Mingzheng Duan (11630632)

    Published 2024
    “…Background<p>Tian-ma (Gastrodia elata) is a traditional medicinal herb found in China. It is used in healthy food and to treat various diseases, therefore cultivated extensively in southwest China. …”
  17. 16757

    Image_1_Unraveling the key mechanisms of Gastrodia elata continuous cropping obstacles: soil bacteria Massilia, Burkholderia-Caballeronia-Paraburkholderia, and Dyella along with so... by Mingzheng Duan (11630632)

    Published 2024
    “…Background<p>Tian-ma (Gastrodia elata) is a traditional medicinal herb found in China. It is used in healthy food and to treat various diseases, therefore cultivated extensively in southwest China. …”
  18. 16758

    Data Sheet 1_Global burden of inflammatory bowel disease in the elderly: trends from 1990 to 2021 and projections to 2051.docx by Ying Liu (18461)

    Published 2024
    “…Estimated annual percentage changes (EAPCs) were computed to quantify temporal trends. A Bayesian Age-Period-Cohort model was employed to project future trends.…”
  19. 16759

    S1 Raw data - by Dao-Cheng Zhou (20314697)

    Published 2024
    “…All-cause and CVD mortality gradually decreased with increasing ideal LE8 metrics. LE8 was not significantly associated with cancer mortality. …”
  20. 16760

    The effect of inulin treatment on plasma untargeted metabolomic profiles in mice of diverse groups. by Ke Li (106849)

    Published 2025
    “…Color key in the heat map represents the metabolite expression value: red represents the significant increases and blue stands for the remarkable decreases. …”