There has been growing interest in the adoption of complex systems approaches to tackle major public health challenges such as obesity. This perspective redirects focus from individually oriented and ...

Scientists have made a significant advancement with quantum technologies that could transform complex systems modelling with an accurate and effective approach that requires significantly reduced ...

This is a preview. Log in through your library . Abstract Motivated by examples from genetic association studies, this article considers the model selection problem in a general complex linear model ...

So, in preparation for the hurricane season along with more cases of Covid-19, state and local governments need to be empowered to put a disaster recovery plan in place. Companies like Atkins, a ...

Scientists have developed a new method to analyze the dynamical, out-of-equilibrium properties of complex disordered systems, such as gold with magnetic impurities or opinions spreading on social ...

Understanding how matter reorganizes as its density increases is a central question in particle and condensed-matter physics. Yet in quantum systems governed by strong interactions, finding analytical ...

Model-based systems engineering is widely used when designing complex systems, but the question remains of when is it right for your project or system. Model-based system engineering is widely used by ...

Researchers used large language models to efficiently detect anomalies in time-series data, without the need for costly and cumbersome training steps. This method could someday help alert technicians ...

Digital twins — virtual representations of actual systems — have become an important component in how engineers and analysts build, visualize and operate AI projects, network security and other ...