Showing 103,261 - 103,280 results of 103,416 for search '(( 5 ((((we decrease) OR (a decrease))) OR (mean decrease)) ) OR ( 12 wt decrease ))', query time: 1.71s Refine Results
  1. 103261
  2. 103262

    DataSheet_3_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. …”
  3. 103263

    Data_Sheet_1_Microbiome, Transcriptome, and Metabolomic Analyses Revealed the Mechanism of Immune Response to Diarrhea in Rabbits Fed Antibiotic-Free Diets.zip 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. …”
  4. 103264
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  6. 103266

    Image_1_Automatic prediction of non-iodine-avid status in lung metastases for radioactive I131 treatment in differentiated thyroid cancer patients.pdf 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. …”
  7. 103267
  8. 103268
  9. 103269
  10. 103270
  11. 103271
  12. 103272
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  14. 103274
  15. 103275
  16. 103276

    Image 3_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. …”
  17. 103277
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  20. 103280

    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. …”