E-waste is recognised as a serious problem for its environmental and societal impact. And while work on the recycling activities of e-waste in geography and related disciplines has focused on these impacts, few studies have paid attention to e-waste reuse activities and the potential for value creation.
Local adaptation enables plant populations to survive in extremely harsh environments. Coastal habitats present a suite of challenging conditions characterised by drying oceanic salt spray and osmotically stressful high salinity soils.
Aims and objectives. The project will use deep learning (DL) techniques to discover combinations of phenotypic and genotypic features working as predictive risk scores for high-incidence conditions (e.g.
The Arctic Ocean is undergoing rapid environmental change. The Arctic is warming twice as fast as the global average. The areal extent of sea ice has declined by 9% per decade since 1978 (Comiso 2012).
Using a combination of extensive cell culture and molecular biology techniques, and functional cellular assays to understand molecular mechanisms underlying myocardial structural and electrical remodelling associated with atrial fibrillation.