Results 71 to 80 of about 3,693,461 (301)

Mesopic and glare driving performance in a driving simulator

open access: yesTraffic Injury Prevention
Difficulties in night driving due to deficits in visual function are a common problem among older drivers. Signage, hazards, and road markings can be more difficult to identify for those with presbyopia, especially in nighttime conditions that include glare from headlights.
Thomas Kerwin   +4 more
openaire   +2 more sources

Recent insights into the molecular mechanism of ubiquinol oxidation by cytochrome bc1

open access: yesFEBS Open Bio, EarlyView.
The review reflects on the mechanism of the catalytic reaction in cytochrome bc1: the electron bifurcation that involves the separation of two electrons derived from the quinol oxidation to opposite sides of the enzyme across the membrane. This review summarizes the long‐standing effort to understand the mechanism of quinol oxidation catalyzed by ...
Anna Wójcik‐Augustyn   +2 more
wiley   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio   +8 more
wiley   +1 more source

Supporting the Implementation of Driving Simulator Environments Through Established GIS Approaches by Extending the Geospatial Data Abstraction Library (GDAL) with OpenDRIVE [PDF]

open access: yes, 2017
Extensive and highly detailed real-world road networks obtained through mobile mapping and spatial data processing build a basis for development and evaluation of advanced driver assistant and automation systems nowadays.
Scholz, Michael   +1 more
core  

Predicting Road Traffic Collisions Using a Two-Layer Ensemble Machine Learning Algorithm

open access: yesApplied System Innovation
Road traffic collisions are among the world’s critical issues, causing many casualties, deaths, and economic losses, with a disproportionate burden falling on developing countries.
James Oduor Oyoo   +2 more
doaj   +1 more source

The role of expert evaluation for microsleep detection

open access: yesCurrent Directions in Biomedical Engineering, 2015
Recently, it has been shown by overnight driving simulation studies that microsleep density is the only known sleepiness indicator which rapidly increases within a few seconds immediately before sleepiness related crashes.
Golz M.   +4 more
doaj   +1 more source

Clinical Utility of the DriveFocus™ Intervention on Young Drivers With and Without Experience

open access: yesFrontiers in Public Health, 2019
Introduction: The DriveFocus™ intervention addresses the ability of young drivers to detect and respond to critical roadway information. DriveFocus is an interactive video-based tablet application that teaches users how to detect and prioritize critical ...
Liliana Alvarez   +2 more
doaj   +1 more source

EEG-Based Classification of the Driver Alertness State

open access: yesCurrent Directions in Biomedical Engineering, 2020
GMLVQ (Generalized Matrix Relevance Learning Vector Quantization) is a method of machine learning with an adaptive metric. While training, the prototype vectors as well as the weight matrix of the metric are adapted simultaneously.
Golz Martin   +2 more
doaj   +1 more source

Neurochemical Endpoints to Inform Early‐Stage Trials of Spinocerebellar Ataxia 2 and 3 in a Multisite Setting

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers   +19 more
wiley   +1 more source

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