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Frontiers in Human Neuroscience|March 17, 2018
Positive Effects of Mindfulness-Based Training on Energy Maintenance and the EEG Correlates of Sustained Attention in a Cohort of NursesKian F Wong, James Teng, Michael W L Chee, et al.
Advances in Physiology Education|July 23, 2016
Peer-assisted learning: filling the gaps in basic science education for preclinical medical studentsYezen Sammaraiee, Ravi D Mistry, Julian Lim, et al.
Mindfulness|October 9, 2018
Towards an Objective Measure of Mindfulness: Replicating and Extending the Features of the Breath-Counting TaskKian F Wong, Stijn A A Massar, Michael W L Chee, et al.
Sleep|March 23, 2017
Sleep and Alertness in Medical Interns and Residents: An Observational Study on the Role of Extended ShiftsMathias Basner, David F Dinges, Judy A Shea, et al.
Sleep Advances : a Journal of the Sleep Research Society|May 13, 2021
Engineering a mobile platform to promote sleep in the pediatric primary care settingJonathan A Mitchell, Knashawn H Morales, Ariel A Williamson, et al.
Aviation, Space, and Environmental Medicine|June 10, 2005
Optical computer recognition of facial expressions associated with stress induced by performance demandsDavid F Dinges, Robert L Rider, Jillian Dorrian, et al.
Medrxiv : the Preprint Server for Health Sciences|November 11, 2020
Engineering a Mobile Platform to Promote Sleep in the Pediatric Primary Care SettingJonathan A Mitchell, Knashawn H Morales, Ariel A Williamson, et al.
Transportation Research. Part F, Traffic Psychology and Behaviour|May 17, 2021
Fatigue risk management based on self-reported fatigue: Expanding a biomathematical model of fatigue-related performance deficits to also predict subjective sleepinessMark E McCauley, Peter McCauley, Samantha M Riedy, et al.
Frontiers in Human Neuroscience|July 6, 2016
Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha BandJunhua Li, Julian Lim, Yu Chen, et al.
Medical & Biological Engineering & Computing|February 11, 2017
A unified canonical correlation analysis-based framework for removing gradient artifact in concurrent EEG/fMRI recording and motion artifact in walking recording from EEG signalJunhua Li, Yu Chen, Fumihiko Taya, et al.
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