IMPLEMENTATION OF A CONVOLUTIONAL NEURAL NETWORK FOR EYE BLINK ARTIFACTS REMOVAL FROM THE ELECTROENCEPHALOGRAPHY SIGNAL

Implementation of a Convolutional Neural Network for Eye Blink Artifacts Removal From the Electroencephalography Signal

Electroencephalography (EEG) signals are disrupted by technical and physiological artifacts.One of the Double Sided Shirt most common artifacts is the natural activity that results from the movement of the eyes and the blinking of the subject.Eye blink artifacts (EB) spread across the entire head surface and make EEG signal analysis difficult.Metho

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COMPUTER-BASED PREDICTION OF TOXICITY USING THE ELECTRON-CONFORMATIONAL METHOD. APPLICATION TO FRAGRANCE ALLERGENS AND OTHER ENVIRONMENTAL POLLUTANTS

The electron-conformational (EC) method is employed for the toxicophore (Tph) identification and quantitative prediction of toxicity using the training set of 24 compounds that are considered as fragrance allergens.The values of a=LD50 Dabbers in oral exposure of rats were chosen as a measure of toxicity.EC parameters are evaluated on the base of c

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SHADOWS OF BEARDED KINGS: ENUNCIATE ISSUE

This work has proposes to present a study that focuses on the particular discursive novel Sombra de reis barbudos, written by Jos J.Veiga based on the enunciation theories.To ahieve this, shall be used, especially enunciate theories introduced by Benveniste (1974-76) and Maingueneau (1997, 2005-06), it is still worth the consideration Marvel the fo

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Mitigating psychological distress in healthcare workers as COVID-19 waves ensue: a repeated cross-sectional study from Jordan

Abstract Background Jordan has experienced several COVID-19 waves in the past 2 years.Cross-sectional studies have been conducted to evaluate distress in healthcare practitioners (HCPs), but there is limited evidence with regards to the impact of continuing pandemic waves on levels of distress in HCPs.We previously studied psychological distress in

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