Showing 108,141 - 108,160 results of 108,424 for search '(( 5 ((ppm decrease) OR (a decrease)) ) OR ( a ((point decrease) OR (nn decrease)) ))', query time: 1.36s Refine Results
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  5. 108145

    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. …”
  6. 108146

    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. …”
  7. 108147
  8. 108148
  9. 108149

    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. …”
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  14. 108154
  15. 108155
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  17. 108157
  18. 108158

    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. …”
  19. 108159

    Image 1_Assessing the impact of resistance training on renal function of female wistar rats under cross-sex hormone therapy.jpeg by Isadora Gonçalves Almeida (21422948)

    Published 2025
    “…Exercise groups underwent progressive resistance training using a vertical climbing ladder five times per week for 6 weeks. …”
  20. 108160

    Image_1_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. …”