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This work presents a detailed analysis of the overall flow structure and unique features of the inner region of the tilted disk simulations described in Fragile et al. (2007). The primary new feature identified in the main disk body is a…

Astrophysics · Physics 2009-11-13 P. Chris Fragile , Omer M. Blaes

Both animal and plant tissue exhibit a nonlinear rheological phenomenon known as compression stiffening, or an increase in moduli with increasing uniaxial compressive strain. Does such a phenomenon exist in single cells, which are the…

The interaction between Edge Localized Modes (ELMs) and Resonant Magnetic Perturbations (RMPs) is modeled with the magnetohydrodynamic code JOREK using experimental parameters from ASDEX Upgrade discharges. The ELM mitigation or suppression…

A new mechanism for pressure profile relaxations in an edge tokamak plasma is derived from simulations within the two-fluid three-dimensional turbulence code EMEDGE3D. The relaxation is due to diamagnetic coupling in the resistive…

Plasma Physics · Physics 2022-03-14 Francesco Cianfrani , Guillaume Fuhr , Peter Beyer

We use numerical simulations to study the flow of a bidisperse mixture of athermal, frictionless, soft-core two dimensional spherocylinders driven in uniform steady state shear. Energy dissipation is via a viscous drag with respect to a…

Soft Condensed Matter · Physics 2019-10-07 Theodore A. Marschall , S. Teitel

Peristalsis is the driving mechanism behind a broad array of biological and engineered flows. In peristaltic pumping, a wave-like contraction of the tube wall produces local changes in volume which induce flow. Net flow arises due to…

Fluid Dynamics · Physics 2025-10-29 Aaron Winn , Eleni Katifori

We analyse how drag forces modify the orbits of objects moving through extended gaseous distributions. We consider how hydrodynamic (surface area) drag forces and dynamical friction (gravitational) drag forces drive the evolution of orbital…

Earth and Planetary Astrophysics · Physics 2022-05-13 Ákos Szölgyén , Morgan MacLeod , Abraham Loeb

Background and Objective: The electrocardiogram (ECG) plays a crucial role in the diagnosis and treatment of various cardiac diseases. ECG signals suffer from low-resolution (LR) due to the use of convenient acquisition devices, as well as…

The conflict between vergence (eye movement) and accommodation (crystalline lens deformation) occurs in every stereoscopic display. It could cause important stress outside the "zone of comfort", when stereoscopic effect is too strong. This…

Human-Computer Interaction · Computer Science 2014-04-25 Jérémy Frey , Léonard Pommereau , Fabien Lotte , Martin Hachet

In this work, the local pressure of fluids confined inside nanoslit pores is predicted within the framework of the density functional theory. The Euler-Lagrange equation in the density functional theory of statistical mechanics is used to…

Statistical Mechanics · Physics 2013-07-19 F. Heidari , G. A. Mansoori , E. Keshavarzi

We determine the equilibria of a rigid loop in the plane, subject to the constraints of fixed length and fixed enclosed area. Rigidity is characterized by an energy functional quadratic in the curvature of the loop. We find that the area…

Soft Condensed Matter · Physics 2009-11-07 G. Arreaga , R. Capovilla , C. Chryssomalakos , J. Guven

Radially inward turbulent particle flux is observed in the core region of target plasma of Large Volume Plasma Device(LVPD). The region satisfy conditions for ETG turbulence, i.e. threshold condition, $ \eta_e = L_{n_e} / L_{T_e} > 2/3 $ ,…

Electrogastrography is the recording of changes in electric potential caused by the stomach's pacemaker region, typically through several cutaneous sensors placed on the abdomen. It is a worthwhile technique in medical and psychological…

Neurons and Cognition · Quantitative Biology 2026-04-23 Evgeniya Anisimova , Sameer N. B. Alladin , Styliani Tsamaz , Edwin S. Dalmaijer

We use a mix of field theoretic and holographic techniques to elucidate various properties of quantum entanglement entropy. In (3+1)-dimensional conformal field theory we study the divergent terms in the entropy when the entangling surface…

High Energy Physics - Theory · Physics 2012-07-13 Igor R. Klebanov , Tatsuma Nishioka , Silviu S. Pufu , Benjamin R. Safdi

A comprehensive study of the classical linear spin-down of a constant density viscous fluid (kinematic viscosity \nu) rotating rapidly (angular velocity \Omega) inside an axisymmetric cylindrical container (radius L, height H) with rigid…

Fluid Dynamics · Physics 2017-04-26 Ludivine Oruba , Andrew Soward , Emmanuel Dormy

Pulsar electrodynamics is reviewed emphasizing the role of the inductive electric field in an oblique rotator and the incomplete screening of its parallel component by charges, leaving `gaps' with $E_\parallel\ne0$. The response of the…

High Energy Astrophysical Phenomena · Physics 2016-04-27 D. B. Melrose , R. Yuen

Esophageal transport is a physiological process that mechanically transports an ingested food bolus from the pharynx to the stomach via the esophagus, a multi-layered muscular tube. This process involves interactions between the bolus, the…

We present an experimental investigation of the pressure dynamics during the flow of self-propelled particles through narrow passages. When the ensemble is flowing, pressure fluctuates around a constant value that does not depend on the…

Other Condensed Matter · Physics 2026-01-09 N Colantuono , M Ramdan Ferressini , I Zuriguel , DR Parisi , GA Patterson

In the present study we investigate magnetic reconnection in twisted magnetic fluxtubes with different initial configurations. In all considered cases, energy release is triggered by the ideal kink instability, which is itself the result of…

Solar and Stellar Astrophysics · Physics 2016-01-20 M. R. Bareford , M. Gordovskyy , P. K. Browning , A. W. Hood

Electroencephalography (EEG) is a complex signal and can require several years of training to be correctly interpreted. Recently, deep learning (DL) has shown great promise in helping make sense of EEG signals due to its capacity to learn…

Machine Learning · Computer Science 2019-01-23 Yannick Roy , Hubert Banville , Isabela Albuquerque , Alexandre Gramfort , Tiago H. Falk , Jocelyn Faubert