Search alternatives:
point decrease » point increase (Expand Search)
ppm decrease » _ decrease (Expand Search), nn decrease (Expand Search), pa decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
point decrease » point increase (Expand Search)
ppm decrease » _ decrease (Expand Search), nn decrease (Expand Search), pa decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Table_1_Biochemical Components Associated With Microbial Community Shift During the Pile-Fermentation of Primary Dark Tea.docx
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_2_Automatic prediction of non-iodine-avid status in lung metastases for radioactive I131 treatment in differentiated thyroid cancer patients.docx
Published 2024“…After automatic lesion segmentation by SE V-Net, SE Net deep learning was trained to predict non-iodine-avid status of LMs. …”
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Image 1_Assessing the impact of resistance training on renal function of female wistar rats under cross-sex hormone therapy.jpeg
Published 2025“…Exercise groups underwent progressive resistance training using a vertical climbing ladder five times per week for 6 weeks. …”
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Image_1_Biochemical Components Associated With Microbial Community Shift During the Pile-Fermentation of Primary Dark Tea.TIF
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
Published 2018“…Network analysis revealed that the microbial taxa were grouped into five modules and seven keystone taxa were identified. …”
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Presentation_1_Biochemical Components Associated With Microbial Community Shift During the Pile-Fermentation of Primary Dark Tea.pdf
Published 2018“…Network analysis revealed that the microbial taxa were grouped into five modules and seven keystone taxa were identified. …”
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