Despite the high performance of existing state-of-the-art deep learning models for depression detection using electroencephalography (EEG), they incur a heavy computational burden.In this paper, we propose an efficient model consisting of a cascade of an encoder, long short-term memory (LSTM), and attention mechanism networks.The encoder compresses
Continuing medical education (CME) is essential for medical practitioners to update their knowledge and skills periodically to provide VGA clinical care in keeping with the evidence available.Traditional methods of CME such as workshops, conferences, and seminars are helpful to bridge the gaps in practice.With advancing technologies, online format
Alzheimer’s dementia is a progressive neurodegenerative disease that causes cognitive and physical impairment.It severely deteriorates the quality of life in Food Storage Jars affected individuals.An early diagnosis can assist immensely in better management of their healthcare needs.In recent years, there has been a renewed impetus in develo
Based on the 19 selected representative chemical enterprises in jiangsu province, we investigate the safety risk situation of chemical enterprises from the Espresso Machine (Prosumer) aspects of personnel technical level, equipment failure, major hazard sources, production process, environment, accident, certification, safety assessment and emergen