Chiral quark models and their applications [PDF]
, 2004 We give an overview of chiral quark models, both for the pure light sector and the heavy-light sector. We describe how such models can be bosonized to obtain welWe give an overview of chiral quark models, both for the pure light sector and the heavy ...
Eeg, Jan O., Hiorth, Aksel
core
A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems
Italian National Conference on Sensors, 2021 Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that is often approached using neurophysiological signals as the basis for building a reliable system.
Igor Stancin, M. Cifrek, A. Jović
semanticscholar +1 more source
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications [PDF]
IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020 Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment. Recent advancements in technology and machine learning algorithms have increased interest in electroencephalographic (EEG)-based BCI ...
Xiaotong Gu +6 more
semanticscholar +1 more source
Energy Strategy Reviews, 2022 This paper investigates a possible future business case for green hydrogen production from hydropower. The main research question is to find the trade-offs for a run-of-river hydropower plant owner between the currently prevailing business model of ...
Sebastian Zwickl-Bernhard, Hans Auer
doaj
"EEG abnormalities" may represent a confounding factor in celiac disease. A 4-year follow-up family report [PDF]
, 2014 Objective: The occurrence of celiac disease (CD), electroencephalographic (EEG) abnormalities (with "subtle" seizures or even without any clinical seizures), and neurological disorders has been reported since the 1980s, though there has been no ...
Alessandro Ferretti +6 more
core +2 more sources
IEEE journal of biomedical and health informatics, 2018 In this paper, we present DREAMER, a multimodal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect elicitation by means of audio-visual stimuli.
Stamos Katsigiannis, N. Ramzan
semanticscholar +1 more source
Using Choice Experiments to Assess Environmental Impacts of Dams in Portugal
AIMS Energy, 2015 Despite their well-known benefits in electricity production, dams are also responsible for some adverse environmental impacts affecting particularly the wellbeing of residents of the local communities.
Anabela Botelho +5 more
doaj +1 more source
On the Short Distance Part of the QCD Anomaly Contribution to the b --> s eta' Amplitude
, 2003 In addressing the B --> eta' K puzzle, there has been a considerable hope in the literature to resolve it by the QCD anomaly contribution to the b --> s eta' amplitude. This contribution corresponds to the electroweak b --> s g* g* transition followed by
Abe +36 more
core +1 more source
Protecting privacy of users in brain-computer interface applications [PDF]
, 2019 Machine learning (ML) is revolutionizing research and industry. Many ML applications rely on the use of large amounts of personal data for training and inference.
Agarwal, Anisha +6 more
core +2 more sources
Focal EEG changes indicating critical illness associated cerebral microbleeds in a Covid-19 patient
Clinical Neurophysiology Practice, 2020 Objectives: We describe a patient suffering from Covid19-related acute respiratory distress syndrome (ARDS), highlighting the diagnostic role of the EEG in ICU.
Pia De Stefano +4 more
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