Results 141 to 150 of about 9,392 (204)
Multiscale Feature Enhancement and Bidirectional Temporal Dependency Networks for Arrhythmia Classification. [PDF]
Yang L +6 more
europepmc +1 more source
This study investigated the spatial patterns and development mechanisms of urban underground space (UUS) in Shanghai using underground points of interest data. It revealed distinct development mechanisms between the main city and suburbs, highlighting the need for differentiated UUS planning and policies to optimize underground space resources ...
Chenxiao Ma +3 more
wiley +1 more source
Uncertainty-aware genomic deep learning with knowledge distillation. [PDF]
Zhou J +4 more
europepmc +1 more source
Cong Fu et al. demonstrate that glymphatic system dysfunction is linked to enhanced inhibitory cortical activity using diffusion MRI and EEG. These findings highlight a mechanistic link between perivascular fluid dynamics and neuronal activity, suggesting a role for glymphatic function in maintaining cortical stability in epilepsy.
Cong Fu +11 more
wiley +1 more source
Abstract Objective Accurate localization of epileptic activity remains challenging when interictal discharges are absent or sparse. Although resting‐state functional MRI (rs‐fMRI) is noninvasive, individual rs‐fMRI metrics provide inconsistent and incomplete localization.
Qirui Zhang +8 more
wiley +1 more source
EMF2b-1 regulates endosperm cell cycling through PRC2 recruitment in maize. [PDF]
Xu J +10 more
europepmc +1 more source
The dynamic functional connectivity peak index: Detection of interictal epileptic activity with fMRI
Abstract Objective Epileptogenic zone (EZ) localization is crucial for surgical treatment of patients with medication‐resistant epilepsy. Although simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can detect interictal discharges for EZ localization, clinical adoption is limited by the need for specialized ...
Lucas E. Sainburg +9 more
wiley +1 more source
An improved YOLOv8n with multi-scale feature fusion for real time and high precision railway track defect detection. [PDF]
Zhang Z +5 more
europepmc +1 more source
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei +2 more
wiley +1 more source

