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LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
Published 2024Get full text
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Published 2021“…<p dir="ltr">Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. …”
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EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis
Published 2020“…The strength and directionality of information flow in the connectivity network by RWTE/PDC and the GTA measures significantly decrease with vigilance decrement, p<0.05. …”
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Graphical Insight: Revolutionizing Seizure Detection with EEG Representation
Published 2024“…This method effectively addresses EEG data processing challenges. We construct a graph representation of EEG signals by extracting features such as frequency-based, statistical-based, and Daubechies wavelet transform features. …”
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Brain Region-Based Vigilance Assessment Using Electroencephalography and Eye Tracking Data Fusion
Published 2022“…The overall results showed that vigilance is a brain region specific and the fusion of EEG+and Eye tracking data using CCA has significantly improved the classification accuracy of vigilance levels assessment.…”
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EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation
Published 2025“…This study addresses limitations in EEG-based stress detection research by developing a novel approach to differentiate multiple mental states in different stress baseline population samples. …”
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The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review
Published 2022“…Brain–computer interfaces (BCI) can support people who have issues with their speech or who have been paralyzed to communicate with their surroundings via brain signals. Therefore, EEG signal-based BCI has received significant attention in the last two decades for multiple reasons: (i) clinical research has capitulated detailed knowledge of EEG signals, (ii) inexpensive EEG devices, and (iii) its application in medical and social fields. …”
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Cognitive Vigilance Enhancement using Audio Stimulation of Pure Tone at 250 Hz
Published 2021“…The entropy measures show that the temporal profile of the EEG signals has significantly increased with VE. …”
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Classification of Cognitive Workload Levels under Vague Visual Stimulation
Published 2016Get full text
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…However, questions related to its mechanism of interaction with the substrate, furimazine, as well as bioluminescence activity remain elusive. Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…Additionally, we find that the N501Y mutant S1-RBD displays altered dynamics that likely aids in its enhanced interaction with ACE2. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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Performance evaluation of 3D-printed PLA composites doped with WE43 magnesium alloy for bone tissue engineering applications
Published 2025“…While a low Mg content (5 %) only slightly impacted the print quality and dimensions, higher Mg concentrations (10 % and 15 %) led to increased weight, rougher surfaces, dimensional shrinkage in height, and overall poorer formation quality. Adding WE43 alloy to PLA decreased the average pore sizes of the composites. …”
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Brain Connectivity Analysis Under Semantic Vigilance and Enhanced Mental States
Published 2019“…BRMUS factors, such as fatigue, depression, and anger, significantly decrease in the enhancement group compared to vigilance group. …”
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