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The feasibility of using machine learning to predict COVID-19 cases.
Int J Med Inform
January 2025
School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom. Electronic address:
Background: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported epidemic data, particularly in underdeveloped regions with limited access to COVID-19 test kits and healthcare infrastructure. In the post-COVID era, this issue remains crucial.
View Article and Find Full Text PDFMechanism of microscopic behind the influence of stress loading on gas adsorption by coal.
Sci Rep
January 2025
College of Environment and Bioengineering, Henan University of Engineering, Zhengzhou, 451191, China.
This study aims to explore the mechanism behind the influence of stress on gas adsorption by coal during deep mining and improve the accuracy of gas disaster prevention and control. To achieve this aim, thermodynamic analysis was conducted on the process of gas adsorption by loaded coal, and modified thermodynamic model proposed by previous scholars. It is found that stress plays an important role in gas adsorption by coal.
View Article and Find Full Text PDFMulti-objective design of multi-material truss lattices utilizing graph neural networks.
Sci Rep
January 2025
Advanced Manufacturing Lab, ETH Zürich, Leonhardstrasse 21, 8092, Zurich, Switzerland.
The rapid advancements in additive manufacturing (AM) across different scales and material classes have enabled the creation of architected materials with highly tailored properties. Beyond geometric flexibility, multi-material AM further expands design possibilities by combining materials with distinct characteristics. While machine learning has recently shown great potential for the fast inverse design of lattice structures, its application has largely been limited to single-material systems.
View Article and Find Full Text PDFLDPC-cat codes for low-overhead quantum computing in 2D.
Nat Commun
January 2025
Université de Lorraine, CNRS, Inria, LORIA, F-54000, Nancy, France.
The main obstacle to large scale quantum computing are the errors present in every physical qubit realization. Correcting these errors requires a large number of additional qubits. Two main avenues to reduce this overhead are (i) low-density parity check (LDPC) codes requiring very few additional qubits to correct errors (ii) cat qubits where bit-flip errors are exponentially suppressed by design.
View Article and Find Full Text PDFExercise capacity and the psychosocial effect in preterm born infants - Should we do more?
Paediatr Respir Rev
January 2025
Department of Respiratory Medicine, The Children's Hospital at Westmead, Westmead, Sydney, New South Wales 2145, Australia; Discipline of Paediatrics and Child Health, Faculty of Medicine, University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia.
Physical activity is crucial for children's physical, cognitive, and social development, reducing the risk of non-communicable diseases and improving overall well-being. A major legacy of extremely preterm delivery is respiratory limitation with reduced lung function and decreased exercise capacity which can be further exacerbated by inactivity and deconditioning. Strategies to increase incidental physical activities in early childhood and participation in sport and more formal exercise programmes in middle childhood have the potential to optimize cardiopulmonary function, improve quality of life, and foster social interactions in childhood and beyond, thereby providing benefits that extend far beyond the physical domain.
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