Wei Lin,Weicheng Fu,Zhen Wang et al.
Wei Lin et al.
In this paper, we show that classical lattices can be classified into two universality classes for thermalization, based solely on the properties of their eigenmodes. This discovery is a consequence of our systematic multiwave quasiresonanc...
Numerical investigation of acoustic radiation force and microstreaming in a viscoelastic fluid [0.03%]
粘弹性流体中声辐射力及微流的数值研究
Khemraj Gautam Kshetri,Andrew Cook,Nitesh Nama
Khemraj Gautam Kshetri
We present a numerical model to study time-averaged acoustic radiation force and microstreaming around an elastic sphere immersed within an acoustically actuated viscoelastic fluid. We employ a perturbation approach to systematically identi...
Dynamical properties and mechanisms of metastability: A perspective in neuroscience [0.03%]
动态属性与亚稳定性的机制：神经科学的视角
Kalel L Rossi,Roberto C Budzinski,Everton S Medeiros et al.
Kalel L Rossi et al.
Metastability, characterized by a variability of regimes in time, is a ubiquitous type of neural dynamics. It has been formulated in many different ways in the neuroscience literature, however, which may cause some confusion. In this Perspe...
R X Zhai,Hui Dong
R X Zhai
Chemical gradients provide the primordial energy for biological functions by driving the mechanical movement of microscopic engines. Their thermodynamic properties remain elusive, especially concerning the dynamic change in energy demand in...
Advecting scaffolds: Controlling the remodeling of actomyosin with anillin [0.03%]
传输支架：利用anillin控制肌动球蛋白的重建
Denni Currin-Ross,Sami C Al-Izzi,Ivar Noordstra et al.
Denni Currin-Ross et al.
We propose and analyze an active hydrodynamic theory that characterizes the effects of the scaffold protein anillin. Anillin is found at major sites of cortical activity, such as adherens junctions and the cytokinetic furrow, where the cano...
Prashant Singh,Karel Proesmans
Prashant Singh
Chemical gradients can be used by a particle to determine its position. This positional information is of crucial importance, for example, in developmental biology in the formation of patterns in an embryo. The central goal of this paper is...
D H G Duarte,P D S de Lima,J M de Araújo
D H G Duarte
Recent advances in machine learning have introduced physics-informed neural networks (PINN) as a valuable tool for addressing dynamics through governing equations and experimental observations. Outliers can be present in measurements and si...
Sun Woo P Kim,Austen Lamacraft
Sun Woo P Kim
We introduce and study the planted directed polymer, in which the path of a random walker is inferred from noisy "images" accumulated at each time step. Formulated as a nonlinear problem of Bayesian inference for a hidden Markov model, this...
Ligand-induced receptor multimerization achieves specificity enhancement of kinetic proofreading without associated costs [0.03%]
配体诱导的受体多聚化可以在不产生相关成本的情况下通过动力学证明阅读来提高特异性
Duncan Kirby,Anton Zilman
Duncan Kirby
Kinetic proofreading (KPR) is a commonly invoked mechanism for specificity enhancement of receptor signaling. However, specificity enhancement comes at a cost of nonequilibrium energy input and signal attenuation. We show that ligand-induce...
Energy-preserving coupling of explicit particle-in-cell with Monte Carlo collisions [0.03%]
与蒙特卡洛碰撞显式粒子单元耦合的能量守恒连接
Jean-Luc Vay,Justin Ray Angus,Olga Shapoval et al.
Jean-Luc Vay et al.
The particle-in-cell (PIC) and Monte Carlo collisions (MCC) methods are workhorses of many numerical simulations of physical systems. Recently, it was pointed out that, while the two methods can be exactly-or nearly-energy-conserving indepe...