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Abstract Epilepsy, characterized by abnormal neuronal hyperexcitability and disrupted ion homeostasis, increasingly appears to involve complex neuron–glia interactions. This study develops a three-compartment computati...

Nonlinear response conception in rotating machinery, particularly in systems with squeeze film dampers (SFDs), pose significant challenges for established time-domain numerical methods due to bifurcations and critical po...

ABSTRACT Oscillatory dynamics play a central role in the description of a broad spectrum of physical systems. While often well‐approximated by linear models, the essential long‐term evolution and stability of these s...

Abstract This work investigates the impact of a generalized quadratic-cubic form of self-phase modulation together with nonlinear chromatic dispersion on perturbed quiescent optical solitons governed by the Fokas–Lenel...

We study a topological phase transition in spacetime through which the early universe evolved, growing exponentially due to quantum fluctuations of gravity, described as a geometric quantum field with a noncommutative, n...

Abstract Real-time dynamic imaging of microbubbles is crucial for understanding their microscale biophysical interactions and advancing ultrasound therapy. Despite progress in time-resolved optical imaging, existing tech...

Nonlinear wave dynamics play an essential role in understanding energy localization, pulse transmission, and stability events in a variety of physical systems. Inspired by its importance, we study a fourth-order nonlinea...

This paper investigates the distributed state estimation problem for a class of continuous-time nonlinear systems over sensor networks. The nonlinearities considered are assumed to satisfy the Incremental Quadratic Const...

Recently, a three-terminal interface dipole modulation field-effect transistor (IDM FET) memory device has been proposed that leverages electric-field-induced dipole modulation at oxide/oxide interfaces. This device has ...

In this paper, we construct and analyze a mosquito-borne disease model with chemotaxis in a homogeneous environment. Different from traditional modes that mosquitoes disperse with local diffusion, we correlate the chemot...

Abstract Identifying nonlinear interactions among magnons is crucial for advancing the field of magnonics and developing next-generation spintronic devices. In this work, we report the experimental observation of nonline...

The Nipah virus (NiV) is a zoonotic pathogen known for causing severe illnesses in both animals and humans, including encephalitis and respiratory issues. In this study, we present a nonlinear system of ordinary differen...

Abstract This study introduces a novel nonlinear mathematical model by considering three dynamic variables: densities of human population and industries, and concentration of atmospheric pollutants. The formulated model ...

Abstract In this paper, we investigate the dynamical behaviour and soliton solutions of the M-fractional Kairat-II equation. Initially, soliton solutions are obtained using the new extended direct algebraic method. To en...

Mathematics and computer science play a pivotal role in modern biology. Dynamical models based on differential equations are particularly adapted to describe dynamic behaviors of many biological processes. However, tradi...

The tension between economic expansion and climate mitigation necessitates a deeper understanding of how finance, energy demand, and innovation jointly shape carbon emissions in emerging economies. In China, rapid financ...

Accurate melting point prediction for nitro-containing flexible organic molecules is critical for optimizing their performance in pharmaceuticals, energetic materials, and chemical processing. Using nine representative n...

Abstract Production safety and efficiency depends on the reliability of the critical components in industrial equipment. However, signals measured by sensors may have complicated nonlinear and long-term sequential dynami...

Abstract In order to address health monitoring issues on offshore wind turbines, while taking into account engineering know-how and constraints, we propose a robust model identification procedure based on reliability of ...

This benchmark case study introduces recently developed state-of-the-art general purpose multi-modal nonstationary reliability assessment method for marine, offshore, and naval structures, suitable for physically measure...

Abstract Semi-autogenous grinding (SAG) mill performance prediction remains limited by empirical calibration requirements in conventional population balance models. This study presents a structured dynamic framework inte...

Background: As athletes develop, their motor patterns evolve from variable to adaptive neuromuscular control strategies, enabling precise execution of complex movements. Traditional linear biomechanical analyses of wrest...

Abstract Carbon markets play a critical role in emission reduction and sustainable economic transition; however, carbon price series exhibit high volatility, nonlinear dynamics, and complex cross-feature interactions, ma...

BackgroundInfluenza poses a significant global public health threat, with its pandemic potential and seasonal variability presenting formidable challenges to prediction accuracy. This study leverages high-quality weekly ...