Results 51 to 60 of about 1,415 (226)
Advanced Sustainable Systems, EarlyView.This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
wiley +1 more source
Long-time asymptotic state of periodically driven open quantum systems [PDF]
Physical Review B, 2016 5 pages, 1 ...
Iwahori, Koudai, Kawakami, Norio
openaire +2 more sources
Engineered GM1 Intersects Between Mitochondrial and Synaptic Pathways to Ameliorate ALS Pathology
Advanced Science, EarlyView.Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease driven by genetic and molecular disruptions affecting energy balance, protein homeostasis, and stress responses in nerve cells. Studies using human and rodent models identified convergent defects in mitochondria and synaptic function.
Federica Pilotto +11 more
wiley +1 more source
A finite-volume scheme for fractional diffusion on bounded domains
European Journal of Applied MathematicsWe propose a new fractional Laplacian for bounded domains, expressed as a conservation law and thus particularly suited to finite-volume schemes. Our approach permits the direct prescription of no-flux boundary conditions.
Rafael Bailo +3 more
doaj +1 more source
Long-time asymptotics for the short pulse equation [PDF]
Journal of Differential Equations, 2018 In this paper, we analyze the long-time behavior of the solution of the initial value problem (IVP) for the short pulse (SP) equation. As the SP equation is a complete integrable system, which posses a Wadati-Konno-Ichikawa (WKI)-type Lax pair, we formulate a $2\times 2$ matrix Riemann-Hilbert problem to this IVP by using the inverse scattering method.
openaire +3 more sources
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
Advanced Science, EarlyView.A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source
Advanced Nonlinear StudiesResorting to the spectral analysis of the 4 × 4 matrix spectral problem, we construct a 4 × 4 matrix Riemann–Hilbert problem to solve the initial value problem for the Hermitian symmetric space derivative nonlinear Schrödinger equation.
Chen Mingming, Geng Xianguo, Liu Huan
doaj +1 more source
MathematicsThe paper considers a bidimensional continuous-time risk model with subexponential claims and Brownian perturbations, in which the price processes of the investment portfolio of the two lines of business are two geometric Lévy processes and the two lines
Xiaowen Shen, Kaiyong Wang, Yang Yang
doaj +1 more source
Structural Transformations Far Off Equilibrium
Успехи физики металлов, 2002 Within the framework of the methods of statistical physics based on the use of the nonergodic theory and phase space with ultrametric topology, transformations of strong nonequilibrium condensed matter are studied at micro- and macroscopic structural ...
O. I. Olemskoi, A. A. Katsnelson
doaj +1 more source
Long‐time asymptotics of the nonlinear Schrödinger equation shock problem [PDF]
Communications on Pure and Applied Mathematics, 2007 AbstractThe long‐time asymptotics of two colliding plane waves governed by the focusing nonlinear Schrödinger equation are analyzed via the inverse scattering method. We find three asymptotic regions in space‐time: a region with the original wave modified by a phase perturbation, a residual region with a one‐phase wave, and an intermediate transition ...
Buckingham, Robert, Venakides, Stephanos
openaire +2 more sources