Emergent spatiotemporal heterogeneity in networked epidemics: Turing instability driven by topology and mobility [0.03%]
网络流行病中的时空异质性涌现：由结构和移动性驱动的图灵不稳定性
Xinyu Wang,Yao Fan,Deyu Cui et al.
Xinyu Wang et al.
While pattern formation in reaction-diffusion systems has been widely explored for epidemics in continuous media, its manifestation in networked populations remains poorly understood. We propose a theoretical framework integrating metapopul...
Application of the direct interaction approximation in turbulence theory to generalized stochastic models [0.03%]
直接相互作用近似在湍流理论中的应用推广到广义随机模型中
B K Shivamoggi,N Tuovila
B K Shivamoggi
The purpose of this paper is to seek mathematical insights into Kraichnan's direct-interaction approximation (DIA) in turbulence theory via its application to generalized stochastic models. Previous developments [R. H. Kraichnan, J. Math. P...
Boris Podobnik,Luka Medvidovic,Dorian Wild et al.
Boris Podobnik et al.
Economists often highlight a gross domestic product (GDP) as a key metric in determining war outcomes, despite historical exceptions, such as the Taliban's victories over the Soviet and U.S. armies in Afghanistan-nations with vastly superio...
Path integral approach for predicting the diffusive statistics of geometric phases in chaotic Hamiltonian systems [0.03%]
路径积分在预测混沌哈密顿系统几何相位的扩散统计中的应用
Ana Silva,Efi Efrati
Ana Silva
From the integer quantum Hall effect to swimming at a low Reynolds number, geometric phases arise in the description of many different physical systems. In many of these systems, the temporal evolution prescribed by the geometric phase can ...
Complex network analysis of zebrafish locomotion based on time series and visibility graphs [0.03%]
基于时间序列和视图图的斑马鱼运动复杂网络分析
Zhen Wang,Jian Gao
Zhen Wang
Zebrafish are increasingly being used as a model organism to study various biological processes, including both normal and pathological conditions. Understanding zebrafish locomotor behavior is essential for gaining insights into human move...
Chaotic dynamics and control in a discrete predation model with Holling II and prey refuge effects [0.03%]
Holling II和避难所效应下的离散捕食模型中的混沌动力学及控制问题研究
Rabia Mehdi,Ranchao Wu,Zakia Hammouch
Rabia Mehdi
Understanding predator-prey interactions is crucial for modeling ecological systems. This study investigates a discrete-time predator-prey system with a Holling type II functional response and prey refuge. Linear stability analysis establis...
Modeling the co-evolution of multi-information and interacting diseases with higher-order effects [0.03%]
具有高阶效应的多信息和相互作用疾病的共演化模型
Xuemei You,Ruifeng Zhang,Xiaonan Fan
Xuemei You
To enhance epidemic management for co-occurring diseases, we investigate how multi-information diffusion impacts the transmission of interacting diseases under three interaction modes (inhibition, facilitation, asymmetry) in higher-order ne...
I D Kolesnikov,N Semenova
I D Kolesnikov
In this paper, we investigate the impact of noise on a simplified trained convolutional network. The types of noise studied originate from real optical implementation of a neural network, but we generalize these types to enhance the applica...
Rare events in a stochastic vegetation-water dynamical system based on machine learning [0.03%]
基于机器学习的随机植被-水资源动力系统中的稀有事件研究
Yang Li,Shenglan Yuan,Shengyuan Xu
Yang Li
Stochastic vegetation-water dynamical systems are fundamental to understanding ecological stability, biodiversity conservation, water resource sustainability, and climate change adaptation. In this study, we introduce an innovative machine ...
First passage properties of d-dimensional finite combs with different growth modes [0.03%]
不同生长模式下的d维有限梳状结构的第一到达性质
Yuan Zhu,Zhenhua Yuan,Junhao Peng
Yuan Zhu
The study of first-passage phenomena in comb structures represents a fundamental research topic with broad applications across physics, chemistry, biology, materials science, and engineering. In this work, we present an analytical framework...