In patients with HNF1A-related maturity-onset diabetes of the young (HNF1A-MODY), 4 weeks of treatment with the SGLT2 inhibitor empagliflozin, along with other glucose-lowering therapies, improved ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Genetic Algorithms are widely used as global optimization solvers for complex and non-convex problems in industrial applications (resource and load planning, workshop logistics, process control, etc.) ...
Garment workers face some of the most precarious working conditions in the world and are increasingly at risk from extreme heat stress caused by climate change. A new University of Sydney-led study ...
Aston Martin has been steadily laying the groundwork for its electric future. In mid-2023, the company entered a long-term strategic partnership with Lucid, securing access to the American brand’s ...
Simulation reveals emergence of jet from binary neutron star merger followed by black hole formation
The simulation run by Hayashi and his colleagues sheds new light on the complex physics of binary neutron star mergers, showing that when these mergers are followed by the formation of black holes, ...
ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...
This report explores the use of genetic algorithms for optimizing financial quantitative trading strategies. Genetic algorithms are a type of evolutionary computation method that mimics the natural ...
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