The study of dynamical systems has long provided a comprehensive framework to describe how complex systems evolve over time under deterministic rules. In recent years, the focus has shifted towards ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...

Researchers constantly seek innovative approaches to tackle cancer. One concept gaining traction is antifragility, a property where systems not only withstand stress but improve because of it. In ...

Dynamic systems pays attention to patterns of change over time. Source: Drawing by A. Danvers “Personal histories are processes of change in time, and the change itself is one of the things ...

Many frequently observed real-world phenomena are nonlinear in nature. This means that their output does not change in a manner that is proportional to their input. These models have a degree of ...

Many of the world's most important systems, such as the atmosphere, turbulent fluids, and even the motion of planets, behave unpredictably due to chaos and noise. Scientists often study these systems ...