EEG SIGNAL EPILEPSY DETECTION WITH A WEIGHTED NEIGHBOR GRAPH REPRESENTATION AND TWO-STREAM GRAPH-BASED FRAMEWORK

EEG Signal Epilepsy Detection With a Weighted Neighbor Graph Representation and Two-Stream Graph-Based Framework

Epilepsy is one of the most common neurological diseases.Clinically, epileptic seizure detection is usually performed by analyzing electroencephalography (EEG) signals.At present, deep learning models have been widely used for single-channel EEG signal epilepsy detection, but this method is difficult to explain the classification results.Researcher

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Phenolic metabolites as therapeutic in inflammation and neoplasms: Molecular pathways explaining their efficacy

Polyphenols, also known as phenolic compounds, are chemical substances containing aromatic rings as well as at least two hydroxyl groups.Natural phenolic compounds exist widely in plants, which protect plants from ultraviolet radiation and other insults.Phenolic compounds have superior pharmacological and nutritional properties (antimicrobial, anti

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Mitochondrial genome of the Silvertip shark, Carcharhinus albimarginatus, from the British Indian Ocean Territory

The Chagos archipelago in the British Indian Ocean Territory (BIOT) has been lacking in detailed genetic studies of its chondrichthyan populations.Chondrichthyes in Chagos continue to be endangered through illegal fishing operations, necessitating species distribution and abundance studies to facilitate urgent Baby Tee monitoring and conservation o

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Exciton condensation in bilayer spin-orbit insulator

We investigate the nature of the magnetic excitations of a bilayer single-orbital Hubbard model in the intermediate-coupling regime.This model exhibits a quantum phase transition (QPT) between a paramagnetic (PM) and an insulating antiferromagnetic (AFM) phase at a critical value of the coupling strength.By using the Mushroom Vapes random phase app

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