Results 61 to 70 of about 1,323,147 (330)

Sums of variables at the onset of chaos [PDF]

, 2014
We explain how specific dynamical properties give rise to the limit distribution of sums of deterministic variables at the transition to chaos via the period-doubling route.
Fuentes, Miguel Angel, Robledo, Alberto
core   +2 more sources

Making tau amyloid models in vitro: a crucial and underestimated challenge

FEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

An exponential growth condition in H^2 for the pullback attractor of a non-autonomous reaction-diffusion equation [PDF]

, 2001
Some exponential growth results for the pullback attractor of a reaction-diffusion when time goes to ¡1 are proved in this paper. First, a general result about Lp\H1 0 exponential growth is established.
Anguiano Moreno, María, Caraballo Garrido, Tomás, Real Anguas, José   +2 more
core  

Anisotropic Power-law Inflation

, 2010
We study an inflationary scenario in supergravity model with a gauge kinetic function. We find exact anisotropic power-law inflationary solutions when both the potential function for an inflaton and the gauge kinetic function are exponential type.
A. Golovnev, B. Himmetoglu, B. Ratra, E. Komatsu ., J. Martin, J.J. Blanco-Pillado, J.M. Maldacena, Jiro Soda, K. Dimopoulos, M.-a. Watanabe, Masa-aki Watanabe, P.V. Moniz, R. Emami, S. Kanno, S. Kanno, S. Yokoyama, Sugumi Kanno, Y. Kitada   +17 more
core   +1 more source

Global and exponential attractors for a Ginzburg-Landau model of superfluidity [PDF]

Discrete & Continuous Dynamical Systems - S, 2011
39 ...
Alessia Berti, Valeria Berti, BOCHICCHIO, IVANA   +2 more
openaire   +4 more sources

Hip morphology‐based osteoarthritis risk prediction models: development and external validation using individual participant data from the World COACH Consortium

Arthritis Care &Research, Accepted Article.
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg, Fleur Boel, Michiel M.A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M.A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B.J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

Attractor Solution of Phantom Field

, 2003
In light of recent study on the dark energy models that manifest an equation of state ...
A.E. Schulz, A.G. Riess, B. Ratra, D.E. Holz, E.J. Copeland, F. Lucchin, I. Zlatev, J.G. Hao, Jian-gang Hao, K. Coble, N. Bahcall, P. de Bernardis, P.J. Steinhardt, R.R. Caldwell, R.R. Caldwell, S. Hanany, S. Perlmutter, X.Z. Li, X.Z. Li, X.Z. Li, Xin-zhou Li, Y. Kitada   +21 more
core   +1 more source

Weak topologies for Carath\'eodory differential equations. Continuous dependence, exponential Dichotomy and attractors [PDF]

, 2018
We introduce new weak topologies and spaces of Carath\'eodory functions where the solutions of the ordinary differential equations depend continuously on the initial data and vector fields.
Longo, Iacopo P., Novo, Sylvia, Obaya, Rafael   +2 more
core   +2 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Incidence of nonextensive thermodynamics in temporal scaling at Feigenbaum points

, 2006
Recently, in Phys. Rev. Lett. 95, 140601 (2005), P. Grassberger addresses the interesting issue of the applicability of q-statistics to the renowned Feigenbaum attractor.
A. Robledo, Anania, Añaños, Baldovin, Baldovin, Baldovin, Baldovin, Beck, Borges, Buiatti, Casati, Coraddu, Coraddu, Costa, de Moura, Eckmann, Farmer, Fujisaka, Grassberger, Grassberger, Halsey, Hata, Hilborn, Horita, Latora, Latora, Lyra, Mayoral, Mayoral, Montangero, Mori, Paladin, Robledo, Robledo, Robledo, Robledo, Sano, Schuster, Tirnakli, Tonelli, Tsallis, Tsallis, Yang   +42 more
core   +1 more source