Results 91 to 100 of about 2,173,723 (357)

Progressive Myoclonus Epilepsy: Distinctive MRI Changes in Cerebellar and Motor Networks

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progressive myoclonus epilepsy (PME) is a rare generalized epilepsy syndrome with a well‐characterized genetic basis. The brain networks that are affected to give rise to the distinctive symptoms of PME are less well understood. Methods Eleven individuals with PME with a confirmed genetic diagnosis and 22 controls were studied.
Jillian M. Cameron, Remika Mito, Samuel F. Berkovic, Graeme D. Jackson   +3 more
wiley   +1 more source

A Continuous-Time Random Walk Extension of the Gillis Model

Entropy, 2020
We consider a continuous-time random walk which is the generalization, by means of the introduction of waiting periods on sites, of the one-dimensional non-homogeneous random walk with a position-dependent drift known in the mathematical literature as ...
Gaia Pozzoli, Mattia Radice, Manuele Onofri, Roberto Artuso   +3 more
doaj   +1 more source

The properties of output frequencies of nonlinear volterra systems [PDF]

, 2008
Nonlinear systems usually have complicated output frequencies in the frequency domain. For the class of nonlinear Volterra systems, some interesting properties for system output frequencies are studied in this paper.
Billings, S.A., Jing, X.J., Lang, Z.Q.
core  

Empirical Model Reduction of Controlled Nonlinear Systems [PDF]

, 1999
In this paper we introduce a new method of model reduction for nonlinear systems with inputs and outputs. The method requires only standard matrix computations, and when applied to linear systems results in the usual balanced truncation. For nonlinear
Glavaški, Sonja, Lall, Sanjay, Marsden, Jerrold E.   +2 more
core   +3 more sources

SARS‐CoV‐2 Is Linked to Brain Volume Loss in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The impact of SARS‐CoV‐2 infection on brain and spinal cord pathology in patients with multiple sclerosis (pwMS) remains unclear. We aimed to describe changes in brain lesion activity and brain and spinal cord volumes following SARS‐CoV‐2 infection.
Tomas Uher, Dominika Stastna, Ingrid Menkyova, Vaclav Capek, Jiri Lindner, Petra Nytrova, Jan Krasensky, Eliza Varju, Miguel D'haeseleer, Eva Kubala Havrdova, Dana Horakova, Manuela Vaneckova, Niels Bergsland   +12 more
wiley   +1 more source

Pump–probe x-ray microscopy of photo-induced magnetization dynamics at MHz repetition rates

Structural Dynamics, 2023
We present time-resolved scanning x-ray microscopy measurements with picosecond photo-excitation via a tailored infrared pump laser at a scanning transmission x-ray microscope.
Kathinka Gerlinger, Bastian Pfau, Martin Hennecke, Lisa-Marie Kern, Ingo Will, Tino Noll, Markus Weigand, Joachim Gräfe, Nick Träger, Michael Schneider, Christian M. Günther, Dieter Engel, Gisela Schütz, Stefan Eisebitt   +13 more
doaj   +1 more source

Demonstration of Fully Nonlinear Spectrum Modulated System in the Highly Nonlinear Optical Transmission Regime [PDF]

arXiv, 2016
We report a 3 dB increase in the nonlinear threshold of a 64*0.5Gbaud 16-QAM continuous-nonlinear-spectrum modulated signal by nonlinear multiplexing with QPSK modulated multi-solitons, showing the first ever fully nonlinear-spectrum modulated system in the highly nonlinear regime.
arxiv  

The theory of homogeneity of nonlinear structural systems -- A general basis for structural safety assessment [PDF]

arXiv, 2022
The paper develops a novel and general methodology to characterize the nonlinearity of structural systems and to provide a mathematically proven basis for applying partial safety factors to nonlinear structural systems. It establishes, for the first time since the development of limit-state theory, the necessary key relationship between the partial ...
arxiv  

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

Nonlinear Schroedinger Dynamics and Nonlinear Observables [PDF]

arXiv, 1995
It is is explained why physical consistency requires substituting linear observables by nonlinear ones for quantum systems with nonlinear time evolution of pure states. The exact meaning and the concrete physical interpretation are described in full detail for a special case of the nonlinear Doebner-Goldin equation.
arxiv