Results 241 to 250 of about 6,829 (292)

The diagnostic value of semiology, EEG and MRI in new‐onset pediatric bilateral tonic–clonic seizures: A multimodal analysis

open access: yesEpilepsia Open, EarlyView.
Abstract Objective To assess the diagnostic contributions of semiology, Electroencephalography (EEG), brain magnetic resonance imaging (MRI), and longitudinal follow‐up both, individually and in combination in classifying seizure type (focal‐to‐bilateral tonic–clonic (FBTC) vs. generalized‐onset bilateral tonic–clonic (GBTC)) in children with new‐onset
Badiee Moussa   +7 more
wiley   +1 more source

Seismic Structural Response and Loss Estimation for Dense Urban Districts Using Neural Network Parameterized Gaussian Process

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi   +2 more
wiley   +1 more source

Waves of Uncertainty: Crude Oil Under Geopolitical, Economic, and ESG Turbulence

open access: yesEnergy Science &Engineering, EarlyView.
Dynamic copula and wavelet coherence reveal that geopolitical, economic, and sustainability uncertainties significantly shape crude oil price co‐movements. Long‐term coherence, especially post‐2015, highlights the growing role of ESG risks alongside geopolitical shocks and economic crises in global energy risk transmission.
Sana Braiek   +3 more
wiley   +1 more source

Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF

open access: yesEnergy Science &Engineering, EarlyView.
This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
wiley   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy