Dynamic of prolactin in pregnant women during pregnancy. by Francois Kiemde (5369657)

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Results of SD-TOPSIS application ‐ combinations D1-D10. by Roman Vavrek (13200141)

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Results of SD-TOPSIS application ‐ combinations B1-B5. by Roman Vavrek (13200141)

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Results of SD-TOPSIS application ‐ combinations C1-C10. by Roman Vavrek (13200141)

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Silencing <i>NbUCHs</i> triggers SGT1-dependent immunity in <i>N. benthamiana.</i> by Wenjia Yu (9422059)

Immersion Marshall test results. by Yining Wang (432154)

“…Orthogonal experiments determined the optimal mixing parameters as a mixing temperature of 170°C, dry mixing time of 180 s, and wet mixing time of 240 s. Experimental results show that the ZM modifier significantly improves the dynamic stability and rutting resistance of the mixture, with dynamic stability increasing to 5245 and rut depth decreasing to 2.26 mm at a dosage of 0.5%. …”

Ecological regression model fitting results. by Weiwei Meng (304234)

NbUCH15 promotes RipE1 stability by deubiquitination. by Wenjia Yu (9422059)

Supporting information. by Yu Sang Choi (22656230)

“…The lipid accumulation and steatosis area were significantly decreased in MP-treated Lep KO mice. Total microbiota with MP-caused difference identified from feces of Lep KO and wild type (WT) mice were classified into 10 phyla and 106 genera. …”

Results of cement retention with permanent adhesive in each group. by Long Li (6555)

Architecture of Multi-Layer U-Net Model. by Muhammad Zubair (728141)

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Tourism determinants’ marginal effects. by Sakar Hasan Hamza (20978818)

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A spatial Durbin model compared to a spatial error and lag model. by Sakar Hasan Hamza (20978818)

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GM Mask image count after preprocessing. by Muhammad Zubair (728141)

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Proposed Multi-Layer U-Net model for gray matter segmentation. by Muhammad Zubair (728141)

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Gray matter segmented views of the brain. by Muhammad Zubair (728141)

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Performance metrics of the standard U-Net (Vanilla U-Net) for the brain segmentation. by Muhammad Zubair (728141)

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Descriptive statistics from 2005 to 2018. by Sakar Hasan Hamza (20978818)

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Learn!Bio longitudinal, cross-sectional study 2020-2023: Cohort sizes and participants – overview. by Katy Andrews (22311170)

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Participants perception of wellbeing. by Katy Andrews (22311170)

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