Akash Yadav,Qazi Saaheelur Rahaman,V K Chandrasekar et al.
Akash Yadav et al.
We investigate the phase transition to synchronization in a multiplex network of adaptively coupled Kuramoto oscillators with frequency disorders. We demonstrate how the frequency disorder in a specific layer initiates nucleation across the...
Wenbin Mao,Guoshen Liang,Zonghua Liu
Wenbin Mao
The mechanisms of self-sustained oscillations of brain rhythms have been studied for a long time and it is revealed that the emergence of a pacemaker loop takes a key role for these rhythms. However, it is unclear how this pacemaker loop pl...
Anticipating critical transitions in a stochastic macrophage polarization model [0.03%]
基于随机小胶质细胞活化模型预测临界转型状态
Shankha Narayan Chattopadhyay,Arvind Kumar Gupta
Shankha Narayan Chattopadhyay
As dynamic and adaptable immune system sentinels, macrophages can adopt various functional phenotypes in response to environmental stimuli. The transitions between these states, pro-inflammatory (M1), anti-inflammatory (M2), and mixed M1/M2...
Maximum likelihood estimation of burst-merging kernels for bursty time series [0.03%]
bursty时间序列的爆破合并内核的最大似然估计
Tibebe Birhanu,Hang-Hyun Jo
Tibebe Birhanu
Various time series in natural and social processes have been found to be bursty. Events in the time series rapidly occur within short time periods, forming bursts, which are alternated with long inactive periods. As the timescale defining ...
Margherita Vendruscolo,Luca Salerno,Carlo Camporeale et al.
Margherita Vendruscolo et al.
A variety of key processes can be mathematically described in terms of directed transport networks, where a scalar (e.g., a signal or a substance) travels through a network until it reaches the exit. Different actions can intervene during t...
L Friedland,A G Shagalov
L Friedland
Autoresonant (continuously phase-locked) two-phase waves of the Korteweg-de Vries equation are excited and controlled using a two-component, small amplitude, chirped frequency driving. These solutions are analyzed in the weakly nonlinear re...
Compressing regularized dynamics improves link prediction with the map equation in sparse networks [0.03%]
正则化动力学的压缩可改善稀疏网络中基于地图方程的链接预测能力
Maja Lindström,Christopher Blöcker,Tommy Löfstedt et al.
Maja Lindström et al.
Predicting future interactions or novel links in networks is an indispensable tool across diverse domains, including genetic research, online social networks, and recommendation systems. Among the numerous techniques developed for link pred...
Optimizing temperature distributions for training neural quantum states using parallel tempering [0.03%]
利用并行退火优化神经量子态训练的温度分布
Conor Smith,Quinn T Campbell,Tameem Albash
Conor Smith
Parametrized artificial neural networks (ANNs) can be very expressive ansatzes for variational algorithms, reaching state-of-the-art energies on many quantum many-body Hamiltonians. Nevertheless, the training of the ANN can be slow and stym...
Transition from bounded to unbounded energy in a time-dependent billiard [0.03%]
从有限到无限能量的转变：基于时间依赖比尔现象的研究
Anne Kétri P da Fonseca,Felipe Augusto O Silveira,Célia M Kuwana et al.
Anne Kétri P da Fonseca et al.
We revisit a time-dependent, oval-shaped billiard to investigate a phase transition from bounded to unbounded energy growth. The introduction of inelastic collisions between the particle and the boundary limit the unbounded energy increase ...
Oscillatory transients in DNA hairpin unwinding: Effect of thermal and mechanical jumps [0.03%]
热和机械跃迁对DNA发夹结构解旋振荡瞬态的影响研究
Keerti Chauhan,Amit Raj Singh,Sanjay Kumar et al.
Keerti Chauhan et al.
The nonequilibrium behavior of many bio-materials under classical jump experiments, in which the system is subject to an instantaneous increase of controlled intensive variables, is poorly studied. Here, we study the response to such jumps ...