Abstract Recently, different dispersion strategies in population models subject to geometric catastrophes have been considered as improve the chance of population’s survival. Such contrasted with strategy where there is no dispersion, comparing probabilities In this article, we contrast survival when extinction occurs almost surely, evaluating which prolongs life span. Our results allow one ana...

The service life of hydrogel-based devices is strongly influenced by the anti-fatigue capability hydrogels. While recent advancements in synthesis hydrogels have improved their fatigue resistance, underlying mechanisms that dominate time-dependent crack growth are still poorly understood. In this study, a computational method developed to predict A physics-based poro-visco-hyperelastic model wi...

Out-of-time-ordered correlators (OTOCs) are an effective tool in characterizing black hole chaos, many-body thermalization, and quantum dynamics instability. Previous research findings have shown that the OTOCs' exponential growth (EG) marks limit for systems. However, we report this paper a periodically-modulated nonlinear Schr\"odinger system, which interestingly find way of growth: super-EG....

Early prediction of the growth and development plants is important for intelligent breeding process, yet accurate simulation plant phenotypes difficult. In this work, a model based on spatiotemporal long short-term memory (ST-LSTM) in network (MIM) was proposed to predict image sequences future including organs such as ears. A novel dataset wheat also compiled. The performance evaluated by calc...