Showing 101,201 - 101,220 results of 101,326 for search '(( 5 ((ht decrease) OR (we decrease)) ) OR ( 5 ((a decrease) OR (mean decrease)) ))', query time: 1.80s Refine Results
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    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. …”
  6. 101206

    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. …”
  7. 101207

    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. …”
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    Image_4_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. …”
  12. 101212

    Presentation_1_Biochemical Components Associated With Microbial Community Shift During the Pile-Fermentation of Primary Dark Tea.pdf 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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    DataSheet_1_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. …”