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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Ranking of factors in order of importance as reported by survey respondents regarding the difficulty in accessing the lower uterine segment (A), complicated fetal extraction in ces... by María Jesús Cancelo Hidalgo (12154030)

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Characteristics of respondents in the national survey of obstetric protocols and outcomes in Spain (March-June 2024). n = 744. by María Jesús Cancelo Hidalgo (12154030)

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Skills development and coping strategies as a consequence of the pandemic. <i><i>Results displayed in percentages.</i></i> by Katy Andrews (22311170)

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Level of learning affected by Covid-19. <i><i>Results displayed in percentages.</i></i> by Katy Andrews (22311170)

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Models 7 to 12: estimation results. by Sakar Hasan Hamza (20978818)

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Bioscience students career plans during and after the Covid-19 pandemic. <i><i>Results displayed in percentages.</i></i> by Katy Andrews (22311170)

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Participants perception of wellbeing. by Katy Andrews (22311170)

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Models 1 to 6: estimation results. by Sakar Hasan Hamza (20978818)

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Architecture of Multi-EfficientNet. by Muhammad Zubair (728141)

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Challenges and hurdles experienced by bioscience students while working from home. <i><i>Results displayed in percentages.</i></i> by Katy Andrews (22311170)

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Covid-19 timeline in the UK: A comprehensive Covid-19 timeline for the United Kingdom from March 2020 to March 2021 detailing national and local restrictions and national lockdowns... by Katy Andrews (22311170)

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Average Saliency Map Results. by Muhammad Zubair (728141)

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Personal and social attributes and how these inform student’s perception of post-pandemic teaching and learning. <i><i>Results displayed in percentages.</i></i> by Katy Andrews (22311170)

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Students preferences on teaching post-pandemic: <i><i>Results displayed in percentages.</i></i> by Katy Andrews (22311170)

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Visual comparison of Brain segmentation results. by Muhammad Zubair (728141)

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The LM test is used to determine whether models contain spatial lag or spatial error. by Sakar Hasan Hamza (20978818)

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Comparative evaluation of gray matter segmentation using Multi-Layer U-Net, Vanilla U-Net, Attention U-Net, and state-of-the-art methods. The results of the proposed model are calc... by Muhammad Zubair (728141)

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Participants pathway to resilience at the height of the Covid-19 pandemic. <i><i>Results displayed in percentages.</i></i> by Katy Andrews (22311170)

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