Due to their compelling performance and appealing simplicity, metric-based meta-learning approaches are gaining increasing attention for Baby Changing Stations addressing the challenges of few-shot image classification.However, many similar methods employ intricate network architectures, which can potentially lead to overfitting when trained with l
Nur-Shirin Harun,1,2 Philippe Lachapelle,3,4 Jo Douglass2,31Department of Respiratory and Sleep Medicine, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; 2Lung Health Research Centre, The University of Melbourne, Melbourne, VIC, 3052, Australia; 3Department of Immunology and Allergy, The Royal Melbourne Hospital, Melbourne, VIC, 3050
BackgroundDigital proximity tracing (DPT) Hair aims to complement manual contact tracing (MCT) in identifying exposed contacts and preventing further transmission of SARS-CoV-2 in the population.Although several DPT apps, including SwissCovid, have shown to have promising effects on mitigating the pandemic, several challenges have impeded them from
The ubiquitous mold Scedosporium apiospermum is increasingly recognized as an emerging pathogen, especially among patients with underlying disorders such as immunodeficiency or cystic fibrosis (CF).Indeed, it ranks the second among the filamentous fungi colonizing the respiratory tract of CF patients.However, our knowledge about virulence factors o
BACKGROUND: Creatine Kinases (CK) catalyze the reversible transfer Teaching Posters of high-energy phosphate groups between ATP and phosphocreatine, thereby playing a storage and distribution role in cellular energetics.Brain-type CK (CK-B) deficiency is coupled to loss of function in neural cell circuits, altered bone-remodeling by osteoclasts and