Weather forecasts are fundamentally uncertain, so predicting the range of probable weather scenarios is crucial for important decisions, from warning the public about hazardous weather to planning renewable energy use. Traditionally, weather forecasts have been based on numerical weather prediction (NWP), which relies on physics-based simulations of the atmosphere. Recent advances in machine learning (ML)-based weather prediction (MLWP) have produced ML-based models with less forecast error than single NWP simulations.
View Article and Find Full Text PDFAims: Familial frontotemporal dementia (fFTD) is an inherited neurodegenerative condition characterised by executive dysfunction, impairments in social cognition, behaviour and language. Although no disease-modifying interventions are currently available, several treatments are undergoing clinical trials. This study sought to understand the barriers and facilitators to taking part in such trials, as well as general perceptions of the treatments undergoing trial.
View Article and Find Full Text PDFAutistic people often face both physical and mental health challenges throughout their lives, which can lead to a higher risk of premature death due to health inequalities. However, we know very little about the healthcare experiences of autistic older adults. In this study, we talked with 19 autistic adults aged 65 years or above living in the United Kingdom.
View Article and Find Full Text PDFBackground: Impairments in the ability to carry out social activities commonly co-occur alongside depression. Improving social functioning is often overlooked in treatment. This is despite the high value placed by patients on social functioning and the potential for interventions focused on social functioning to have additional benefits in reducing depressive symptoms.
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