Stochastic modeling and analysis of the mutual influence between respiratory diseases and air quality [0.03%]
呼吸系统疾病与空气质量相互作用的随机模型及分析
Huan Yang,Sha He,Sanyi Tang
Huan Yang
Respiratory viruses can be transmitted through both human contact and airborne particles. Air pollution exacerbates the spread of airborne diseases, while the societal burden imposed by these diseases drives efforts to improve air quality. ...
Dynamics and chaotic properties of the fully disordered Kuramoto model [0.03%]
完全无序的Kuramoto模型的动力学和混沌性质
Iván León,Diego Pazó
Iván León
Frustrated random interactions are a key ingredient of spin glasses. From this perspective, we study the dynamics of the Kuramoto model with quenched random couplings: the simplest oscillator ensemble with fully disordered interactions. We ...
Bifurcation analysis in a Beddington-DeAngelis predator-prey model with habitat complexity and additional food effect [0.03%]
具避难所复杂度和额外食物效应的Beddington-DeAngelis捕食者-猎物模型中的分岔分析
Demou Luo,Qiru Wang,Huayou Xie et al.
Demou Luo et al.
In this paper, we study a predator-prey model with a Beddington-DeAngelis functional response, where the effect of habitat complexity and additional food is proposed to jointly affect the dynamics of predator and prey. It is shown that the ...
Aβ-mediated multiscale study of spontaneous calcium dynamics in astrocytes [0.03%]
AB介导的星形胶质细胞自发钙动态的多尺度研究
YuPeng Li,XiaoLi Yang,SiLu Yan et al.
YuPeng Li et al.
Some physiological experiments in Alzheimer's disease (AD) conditions have evidenced that amyloid β-peptide (Aβ) can induce spontaneous calcium oscillations in astrocytes and spontaneous calcium hyperactivity in astrocyte networks, which ...
Hybrid optimization for efficient pruning of randomly generated neural networks [0.03%]
高效剪枝随机生成的神经网络的混合优化方法
Ji Xia,Huanfei Ma
Ji Xia
Randomly generated neural networks, such as reservoir computing (RC) and extreme learning machines (ELMs), simplify training by fixing randomized weights, but suffer from computational redundancy and high hardware demands due to their relia...
Statistical machine learning tools for probabilistic closures of turbulence models [0.03%]
概率闭合湍流模型的统计机器学习工具
J Domingues Lemos,F P Santos
J Domingues Lemos
Turbulent flow remains a challenging subject, despite extensive efforts to find analytical descriptions. Modeling small scales of motion is crucial for saving time and resources in numerical simulations, particularly in industrial applicati...
Interpretable transformation and analysis of timelines through learning via surprisability [0.03%]
基于惊讶度的学习的可解释的时间线转换与分析方法
Osnat Mokryn,Teddy Lazebnik,Hagit Ben-Shoshan
Osnat Mokryn
The analysis of high-dimensional timeline data and the identification of outliers and anomalies are critical across diverse domains, including sensor readings, biological and medical data, historical records, and global statistics. However,...
On fractional derivatives of trigonometric functions and exponential functions [0.03%]
三角函数和指数函数的分数阶导数
Changpin Li,Jianhua Tang
Changpin Li
In some places, fractional derivative is abbreviated as Dα, dαdtα(ordαdxα), where α is positive but not an integer. The "formulas" dαsintdtα=sin(t+πα2), dαcostdtα=cos(t+πα2), and dαeλtdtα=λαeλt are sometimes used...
Speedup of an all-optical delay-based reservoir computer via input rate increase and bandwidth enhancement [0.03%]
通过提高输入速率和增强带宽来加速基于光学延迟的类脑计算装置
Mirko Goldmann,Irene Estébanez,Claudio R Mirasso et al.
Mirko Goldmann et al.
We demonstrate the acceleration of an all-optical delay-based reservoir computer (RC) for time-series prediction. The RC system comprises a semiconductor laser with delayed optical feedback, driven by an injection laser modulated with a tim...
Multi-scaling reservoir computing learns noise-induced transitions with Lévy noise [0.03%]
多尺度水库计算用Lévy噪声学习噪声诱导过渡状态
Zequn Lin,Jürgen Kurths,Ying Tang
Zequn Lin
Noise-induced transitions, where random fluctuations drive systems between multiple stable states, are pivotal in stochastic dynamical systems across physics, biology, and engineering. These transitions become intricate in the presence of n...