Detected metabolites (a), volcano plot (b) and scatter plot (c) of differential metabolites. by Jun Sun (48981)

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Correlation of differential metabolites. by Jun Sun (48981)

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LEfSe analysis of root zone soil bacterium from different tea varieties. by Jun Sun (48981)

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OUT Venn diagram. by Jun Sun (48981)

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Data for Fig 6D. by Xiaohua Zhang (350570)

“…In <i>vivo</i> experiments further showed that PRV UL4 (¹³²DVAADAAAEAAAAE¹⁴⁵) mutated strain (PRV-UL4^mut) infection did not lead to a significant decrease in viral titers at 12 h. p. i, but it induced lower levels of IL-1β, IL-18, and GSDMD-NT, which led to an alleviated inflammatory infiltration and pathological damage in the lungs and brains, and a lower death rate compared with wild-type PRV strain infection. …”

Data for Fig 5D. by Xiaohua Zhang (350570)

“…In <i>vivo</i> experiments further showed that PRV UL4 (¹³²DVAADAAAEAAAAE¹⁴⁵) mutated strain (PRV-UL4^mut) infection did not lead to a significant decrease in viral titers at 12 h. p. i, but it induced lower levels of IL-1β, IL-18, and GSDMD-NT, which led to an alleviated inflammatory infiltration and pathological damage in the lungs and brains, and a lower death rate compared with wild-type PRV strain infection. …”

Data for Figs 8A–8H, 9A–9K, 10A–10I. by Xiaohua Zhang (350570)

“…In <i>vivo</i> experiments further showed that PRV UL4 (¹³²DVAADAAAEAAAAE¹⁴⁵) mutated strain (PRV-UL4^mut) infection did not lead to a significant decrease in viral titers at 12 h. p. i, but it induced lower levels of IL-1β, IL-18, and GSDMD-NT, which led to an alleviated inflammatory infiltration and pathological damage in the lungs and brains, and a lower death rate compared with wild-type PRV strain infection. …”

Comparing detector performance against increasing signal to noise ratios. by Bernd Porr (32394)

Social life consequences of the Covid-19 pandemic. <i><i>Results displayed in percentages.</i></i> by Katy Andrews (22311170)

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Overall learning experience. <i><i>Results shown in percentages.</i></i> by Katy Andrews (22311170)

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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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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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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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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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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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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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