Showing 56,121 - 56,140 results of 56,807 for search '(( 09 ((0 decrease) OR (a decrease)) ) OR ( 20 ((nn decrease) OR (we decrease)) ))', query time: 1.19s Refine Results
  1. 56121

    Table_5_Terroir Is the Main Driver of the Epiphytic Bacterial and Fungal Communities of Mango Carposphere in Reunion Island.XLSX by Ahmed Taîbi (10007987)

    Published 2021
    “…<p>The diversity of both bacterial and fungal communities associated with mango surface was explored using a metabarcoding approach targeting fungal ITS2 and bacterial 16S (V3-V4) genomic regions. …”
  2. 56122

    Table_3_Terroir Is the Main Driver of the Epiphytic Bacterial and Fungal Communities of Mango Carposphere in Reunion Island.XLSX by Ahmed Taîbi (10007987)

    Published 2021
    “…<p>The diversity of both bacterial and fungal communities associated with mango surface was explored using a metabarcoding approach targeting fungal ITS2 and bacterial 16S (V3-V4) genomic regions. …”
  3. 56123

    Table_6_Terroir Is the Main Driver of the Epiphytic Bacterial and Fungal Communities of Mango Carposphere in Reunion Island.XLSX by Ahmed Taîbi (10007987)

    Published 2021
    “…<p>The diversity of both bacterial and fungal communities associated with mango surface was explored using a metabarcoding approach targeting fungal ITS2 and bacterial 16S (V3-V4) genomic regions. …”
  4. 56124

    Table_1_Terroir Is the Main Driver of the Epiphytic Bacterial and Fungal Communities of Mango Carposphere in Reunion Island.XLSX by Ahmed Taîbi (10007987)

    Published 2021
    “…<p>The diversity of both bacterial and fungal communities associated with mango surface was explored using a metabarcoding approach targeting fungal ITS2 and bacterial 16S (V3-V4) genomic regions. …”
  5. 56125

    Table_4_Terroir Is the Main Driver of the Epiphytic Bacterial and Fungal Communities of Mango Carposphere in Reunion Island.XLSX by Ahmed Taîbi (10007987)

    Published 2021
    “…<p>The diversity of both bacterial and fungal communities associated with mango surface was explored using a metabarcoding approach targeting fungal ITS2 and bacterial 16S (V3-V4) genomic regions. …”
  6. 56126

    Table_2_Terroir Is the Main Driver of the Epiphytic Bacterial and Fungal Communities of Mango Carposphere in Reunion Island.XLSX by Ahmed Taîbi (10007987)

    Published 2021
    “…<p>The diversity of both bacterial and fungal communities associated with mango surface was explored using a metabarcoding approach targeting fungal ITS2 and bacterial 16S (V3-V4) genomic regions. …”
  7. 56127

    Data_Sheet_1_Terroir Is the Main Driver of the Epiphytic Bacterial and Fungal Communities of Mango Carposphere in Reunion Island.PDF by Ahmed Taîbi (10007987)

    Published 2021
    “…<p>The diversity of both bacterial and fungal communities associated with mango surface was explored using a metabarcoding approach targeting fungal ITS2 and bacterial 16S (V3-V4) genomic regions. …”
  8. 56128
  9. 56129

    DataSheet_2_Body composition and inflammation variables as the potential prognostic factors in epithelial ovarian cancer treated with Olaparib.pdf by Xingzi Guo (18440394)

    Published 2024
    “…Survival analysis indicated that high SATI, high VATI, high SMI, high BMD, low NLR, and low PLR were associated with decreased risk of disease progression (all p < 0.05). …”
  10. 56130

    DataSheet_1_Body composition and inflammation variables as the potential prognostic factors in epithelial ovarian cancer treated with Olaparib.pdf by Xingzi Guo (18440394)

    Published 2024
    “…Survival analysis indicated that high SATI, high VATI, high SMI, high BMD, low NLR, and low PLR were associated with decreased risk of disease progression (all p < 0.05). …”
  11. 56131
  12. 56132
  13. 56133

    Table_1_Association of metabolic dysfunction-associated fatty liver disease, type 2 diabetes mellitus, and metabolic goal achievement with risk of chronic kidney disease.docx by Weitao Su (4636516)

    Published 2022
    “…</p>Results<p>The MAFLD group had a higher prevalence of CKD (16.2 vs. 7.6%, P < 0.001) than the non-MAFLD group. …”
  14. 56134

    Predicted fitness and predicted prevalence. by Taj Azarian (659326)

    Published 2020
    “…Two outliers are annotated for which the difference between their predicted and observed prevalence was >1.5 times the interquartile range of the distribution of predicted and observed prevalence differences. As a note, the predictions remained significant if SC-09 (the extreme strain at 10% prevalence in B) was removed (slope, 95% CI 0.021–1.05; intercept, 95% CI −0.003 to 0.03; <i>p</i> = 0.19, chi-squared = 3.5). …”
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