Results 101 to 110 of about 6,302 (258)

New insights into epileptic spasm generation and treatment from the TTX animal model

Epilepsia Open, EarlyView.
Abstract Currently, we have an incomplete understanding of the mechanisms underlying infantile epileptic spasms syndrome (IESS). However, over the past decade, significant efforts have been made to develop IESS animal models to provide much‐needed mechanistic information for therapy development.
John W. Swann, Carlos J. Ballester‐Rosado, Chih‐Hong Lee   +2 more
wiley   +1 more source

Chaos in Magnetoplasmas [PDF]

Nonlinear Processes in Geophysics, 1999
A nonlinear wave, in general, is equivalent to a nonlinear dynamical system, which exhibits the phenomena of chaos. By means of techniques of nonlinear dynamical systems, we have investigated the conditions under which nonlinear Alfvén waves and lower-
B. Buti
doaj  

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future

Epilepsia Open, EarlyView.
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley   +1 more source

Ketogenic diet for infantile epileptic spasms

Epilepsia Open, EarlyView.
Abstract Approximately half of all cases of Infantile Epileptic Spasms Syndrome (IESS) do not respond to vigabatrin and hormonal therapies. There is no clear consensus as to the second‐line therapy for IESS. Ketogenic diet (KD) has emerged as an effective treatment for certain drug‐resistant epilepsies and in many cases of IESS.
Morris H. Scantlebury, Anamika Choudhary, Andy Cheuk‐Him Ng, Cezar Gavrilovici   +3 more
wiley   +1 more source

Numerical and Experimental Evaluation of a Simplified Lateral Spring Formulation for Rocking Structures

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Rocking podium isolation systems have gained significant research interest as a method of limiting seismic demands on superstructures and eliminating residual post‐earthquake drifts through self‐centring behaviour. However, while numerous models of varying complexity, including analytical, phenomenological, and physical formulations, have been
Marawan Zaki, Chiyun Zhong, Constantin Christopoulos   +2 more
wiley   +1 more source

On the Variability of Results for Cylinder Flow: A Systematic Analysis of Parameter Sensitivity Within the Lattice Boltzmann Method

International Journal for Numerical Methods in Fluids, EarlyView.
This study systematically investigates the variability of cylinder flow results. We provide a comprehensive overview of literature values and, using the lattice Boltzmann method (LBM), show that insufficient convergence studies and variations in simulation parameters are a plausible cause for the significant spread in data.
Maximilian Bille, Mario C. Bedrunka, Philipp Spelten, Holger Foysi, Dirk Reith   +4 more
wiley   +1 more source

Programmable crack dynamics engineering enables flexible strain sensors with high linearity

FlexMat, EarlyView.
First‐decoupling theoretical framework of crack evolution elucidating the control methods, mechanistic insights, and structure‐activity relationships is established. Crack propagation from uncontrollable randomness systematically evolves into spatially ordered states.
Chunjin Wu, Shaolong Wang, Xu Wang, Heng Zhu, Yongliang Tian, Xinchen Jiang, Xin Rao, Yutong Han, Changrun Wang, Wen‐Yong Lai   +9 more
wiley   +1 more source

Chaotic Motion of Ions in Finite-amplitude Low-frequency Alfvén Waves

The Astrophysical Journal
Finite-amplitude low-frequency Alfvén waves (AWs) are ubiquitous in space plasmas, where they play a key role in the transport and dissipation of energy, particularly in the heating of ions in the solar corona and solar wind.
Jingyu Peng, Jiansen He, Rong Lin
doaj   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

“Thinking Out Loud” and “Pivoting on the Fly”—An Empirical Review and Critical Incident Study of How Physicians Engage in Incidental Learning Amidst Complexity

Human Resource Development Quarterly, EarlyView.
ABSTRACT This study explores incidental learning among physicians navigating uncertainty during the COVID‐19 pandemic. Using a constructivist research design, we conducted a literature review of 13 empirical studies on incidental learning in complexity and analyzed critical incident interviews with 12 emergency medicine and intensive care physicians ...
Henriette Lundgren, Karen E. Watkins, Victoria J. Marsick, Dimitrios Papanagnou, Urvashi Vaid   +4 more
wiley   +1 more source