AN ATTENTION MECHANISM-BASED INTERPRETABLE MODEL FOR EPILEPTIC SEIZURE DETECTION AND LOCALIZATION WITH SELF-SUPERVISED PRE-TRAINING

An Attention Mechanism-Based Interpretable Model for Epileptic Seizure Detection and Localization With Self-Supervised Pre-Training

Epilepsy, characterized by unpredictable seizures caused by abnormal brain activity, presents significant diagnostic challenges due to the complexity of interpreting electroencephalogram (EEG) signals.Current EEG analysis methods rely heavily on manual annotations by neurophysiologists, limiting scalability and efficient utilization of vast clinica

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Forest biomass observation: current state and prospective

With this article, we provide an overview of the methods, instruments and initiatives for forest biomass observation at global scale.We focus on the freely available information, provided by both remote and in-situ observations.The advantages and limitation of various space borne methods, including optical, radar (C, L and P here band) and LiDAR, a

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A novel cell-based screen identifies chemical entities that reverse the immune-escape phenotype of metastatic tumours

Genetic and epigenetic events have been implicated in the downregulation keychron m4 of the cellular antigen processing and presentation machinery (APM), which in turn, has been associated with cancer evasion of the immune system.When these essential components are lacking, cancers develop the ability to subvert host immune surveillance allowing ca

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Bioenergy production and environmental impacts

Abstract Compared with the conventional fossil fuel, bioenergy has obvious advantages due to its renewability and large quantity, and thus plays a crucial role in helping defend the energy security.However, the bioenergy development may potentially cause serious environmental alterations, which remain unclear.The study summarizes the environmental

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