Showing 101,261 - 101,280 results of 101,367 for search '(( 5 ((c decrease) OR (a decrease)) ) OR ( 5 ((we decrease) OR (nn decrease)) ))', query time: 2.06s Refine Results
  1. 101261
  2. 101262
  3. 101263
  4. 101264
  5. 101265
  6. 101266
  7. 101267

    Table_2_Biochemical Components Associated With Microbial Community Shift During the Pile-Fermentation of Primary Dark Tea.docx by Qin Li (36669)

    Published 2018
    “…Network analysis revealed that the microbial taxa were grouped into five modules and seven keystone taxa were identified. …”
  8. 101268

    Table_1_Microbiome, Transcriptome, and Metabolomic Analyses Revealed the Mechanism of Immune Response to Diarrhea in Rabbits Fed Antibiotic-Free Diets.docx by Jie Wang (16762)

    Published 2022
    “…However, the mechanisms underlying the roles of the gut microbiome and fecal metabolome in rabbit diarrhea caused by feeding an antibiotic-free diet have not been characterized. Recently, only a single study has been conducted to further characterize the antibiotic-free feed additives that caused diarrhea in weaned rabbits. …”
  9. 101269
  10. 101270
  11. 101271
  12. 101272

    Image_2_Biochemical Components Associated With Microbial Community Shift During the Pile-Fermentation of Primary Dark Tea.TIF by Qin Li (36669)

    Published 2018
    “…Network analysis revealed that the microbial taxa were grouped into five modules and seven keystone taxa were identified. …”
  13. 101273

    Table_3_Biochemical Components Associated With Microbial Community Shift During the Pile-Fermentation of Primary Dark Tea.XLSX by Qin Li (36669)

    Published 2018
    “…Network analysis revealed that the microbial taxa were grouped into five modules and seven keystone taxa were identified. …”
  14. 101274
  15. 101275

    Table_1_Biochemical Components Associated With Microbial Community Shift During the Pile-Fermentation of Primary Dark Tea.docx by Qin Li (36669)

    Published 2018
    “…Network analysis revealed that the microbial taxa were grouped into five modules and seven keystone taxa were identified. …”
  16. 101276
  17. 101277
  18. 101278
  19. 101279
  20. 101280

    DataSheet_2_Automatic prediction of non-iodine-avid status in lung metastases for radioactive I131 treatment in differentiated thyroid cancer patients.docx by Xinyi Gao (8262531)

    Published 2024
    “…After automatic lesion segmentation by SE V-Net, SE Net deep learning was trained to predict non-iodine-avid status of LMs. …”