Results 221 to 230 of about 2,162,787 (303)

Infra‐slow brain–heart–gut electrophysiological interactions reveal a co‐ordinated multisystem physiological network in humans

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Simultaneous resting‐state electroencephalographic (EEG), electrocardiographic (ECG) and electrogastrographic (EGG) recordings were processed to extract time‐resolved physiological markers for each organ: EEG alpha‐band power for the brain, cardiac sympathetic and parasympathetic indices (CSI, CPI) for the heart and EGG power for
Giovanni Sitti   +2 more
wiley   +1 more source

Combining Voiceprint Feature Extraction With Deep Learning Based Classifiers for Early Chronic Obstructive Pulmonary Disease Screening

open access: yesVector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.
Graphic Abstract (GA) presents an overview of the CNN‐based classification process, which consists of several convolutional layers, several pooling layers, and a classification layer. Multilayer CNNs are capable of automatic feature enhancement, denoising, feature extraction, and pattern recognition tasks, and they have been applied in automatic ...
Pi‐Yun Chen   +6 more
wiley   +1 more source

An Intensity Measure‐Based Methodology for Ground Motion Orientation in Seismic Structural Assessment

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 15, Page 3859-3879, December 2026.
ABSTRACT In current dynamic time history assessment protocols, ground motion recordings are mostly oriented along fixed sensor directions. Consequently, the orientation of the principal resultant of rupture energy, which may control the maximum structural demand, remains undefined, precluding consistent correlation with physically detrimental ...
Santiago Londono‐Lopez   +4 more
wiley   +1 more source

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 6, Page 2795-2802, December 2026.
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman   +10 more
wiley   +1 more source

A Simulation Study on Spatial Exponential Decay of Perturbations in a Two‐Dimensional Wave Equation With Optimal Boundary/Line Control

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Recent results have shown that domain‐uniform stabilizability and detectability imply spatial exponential decay of perturbations in optimally controlled hyperbolic PDEs on one‐dimensional domains. This domain‐uniform stabilizability and detectability can be achieved only if the control domain is distributed over the whole spatial domain such ...
Benedikt Oppeneiger
wiley   +1 more source

Exploring complex phenomena in fluid flow and plasma physics via the Schrödinger-type Maccari system. [PDF]

open access: yesSci Rep
Abbas N   +6 more
europepmc   +1 more source

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