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third climate change risk assessment [2] suggests the climate crisis has caused irreversible damage. It is critical that we act to limit catastrophic events, by developing viable sustainable manufacturing
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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approaches and technological solutions that would take into account the diverse needs of contributors, curators, and end users. The research is meant to privilege a user perspective, reflecting critically
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), radiological and clinical images. The aim of this project is to investigate the use of artificial intelligence and machine learning in automated detection and segmentation of cancer and its microenvironment
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technological sectors spotlight the critical challenge of integrating soft electronic systems with conventional rigid electronics. This integration is essential for the next generation of medical devices
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: 31 May 2025 Details Structural/engineering dynamics holds the key to designing safer, lighter and greener structures for the future. However, a grand challenge facing the discipline is that many
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) Developing new predictive tools for improving the combustion processes for coal/biomass fuels Ignition of pulverised fuel is the first stage in the combustion process. Successful ignition is important for
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: Applications accepted all year round Details Graphene is a novel material with outstanding electronic and mechanical properties. Chemical modification of graphene gives rise to new materials, such as graphene
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C9orf72 is important for initiating autophagy (1), suggesting a mechanistic link between impaired autophagy and ALS pathogenesis. Intriguingly mitochondrial fission 1 protein (FIS1) is identified as a
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, TAR has not generally performed so well. Ankle fusion, where the bones of the tibiotalar joint are permanently joined together, is the more popular treatment at present. There is a growing need to