Results 41 to 50 of about 3,208 (258)

Fenfluramine in SCN1A‐related GEFS+: A multicenter observational study on efficacy, EEG improvement, and tolerability

Epilepsia Open, EarlyView.
Abstract The SCN1A gene is implicated in a broad spectrum of epilepsy phenotypes, ranging from self‐limited genetic epilepsy with febrile seizures plus (GEFS+) to severe developmental and epileptic encephalopathies such as Dravet syndrome (DS). While fenfluramine (FFA) has demonstrated strong efficacy in DS, its role in SCN1A‐related epilepsies beyond ...
Giovanni B. Dell'Isola, Alice Muda, Lucio Giordano, Renzo Guerrini, Alessandra Boncristiano, Nicola Pietrafusa, Maria Polselli, Francesca Bisulli, Francesca Ragona, Antonella Riva, Pasquale Striano, Domenica Immacolata Battaglia, Federico Vigevano   +12 more
wiley   +1 more source

Enhancing Driver Safety: Real-Time Eye Detection for Drowsiness Prevention Driver Assistance Systems

Engineering Proceedings, 2023
Drowsiness has become a significant contributing factor to traffic accidents in modern times, posing a major concern to society. Driver fatigue or sleepiness leads to decreased reaction time, diminished attention, and compromised decision-making ...
Zainah Md. Zain, Mohd Shahril Roseli, Nurul Athirah Abdullah   +2 more
doaj   +1 more source

School Climate and Sleep Duration Among Adolescents at the Intersection of Multiple Social Positions

Journal of Adolescence, EarlyView.
ABSTRACT Introduction Recent studies have indicated that sleep is fundamental for adolescents' physical and mental health. Although it is known that context influences sleep, the impact of school climate on sleep duration remains understudied. Methods Using a large, diverse, population‐based sample of adolescents attending California high schools (N ...
André Gonzales Real, Brian T. Gillis, Marla E. Eisenberg, G. Nic Rider, Benjamin Parchem, Samantha E. Lawrence, Stephen T. Russell   +6 more
wiley   +1 more source

Novel Transfer Learning Approach for Driver Drowsiness Detection Using Eye Movement Behavior

IEEE Access
Driver drowsiness detection is a critical field of research within automotive safety, aimed at identifying signs of fatigue in drivers to prevent accidents.
Hamza Ahmad Madni, Ali Raza, Rukhshanda Sehar, Nisrean Thalji, Laith Abualigah   +4 more
doaj   +1 more source

Development of a Real-Time Driver Health Detection System Using a Smart Steering Wheel

International Journal of Prognostics and Health Management, 2018
The number of vehicle accidents due to driver drowsiness continues to increase. Therefore, prompt and effective detection for driver health during driving is crucial to improvement of traffic safety.
Jae-Cheon Lee, Hao Liu
doaj   +1 more source

Convergent validity of video-based observer rating of drowsiness, against subjective, behavioral, and physiological measures.

PLoS ONE, 2023
Driver drowsiness is a widely recognized cause of motor vehicle accidents. Therefore, a reduction in drowsy driving crashes is required. Many studies evaluating the crash risk of drowsy driving and developing drowsiness detection systems, have used ...
Yuji Uchiyama, Shunichiroh Sawai, Takuhiro Omi, Koichiro Yamauchi, Kimimasa Tamura, Takuya Sakata, Kiyofumi Nakajima, Hiroyuki Sakai   +7 more
doaj   +1 more source

Ivermectin Toxicity in Humans and Animals: Clinical Spectrum, Mechanisms, and Management

Journal of Applied Toxicology, EarlyView.
ABSTRACT Ivermectin is a widely used macrocyclic lactone with established efficacy against a broad range of parasitic infections in humans and animals and a long‐standing reputation for clinical safety. However, increasing evidence indicates that ivermectin can produce clinically relevant toxicity under specific conditions, particularly involving the ...
Serkan Yilmaz, Bayram Göktaş, İlker Ateş, Mustafa Çelik   +3 more
wiley   +1 more source

A Survey on State-of-the-Art Drowsiness Detection Techniques

IEEE Access, 2019
Drowsiness or fatigue is a major cause of road accidents and has significant implications for road safety. Several deadly accidents can be prevented if the drowsy drivers are warned in time.
Muhammad Ramzan, Hikmat Ullah Khan, Shahid Mahmood Awan, Amina Ismail, Mahwish Ilyas, Ahsan Mahmood   +5 more
doaj   +1 more source

Sleep disturbance as a transdiagnostic marker of children's mental health difficulties: A network analysis of item‐level associations between different types of sleep problems and different behavioural and emotional symptoms

JCPP Advances, EarlyView.
Abstract Background Sleep disturbances are widely considered to be a transdiagnostic feature of common behavioural and emotional difficulties in childhood, yet most studies treat sleep as a single construct. Where studies have explored specific sleep problems to psychopathology in children, these tend to only include behavioural or emotional ...
Alina A. Marinca, Julia E. Michalek, Alice M. Gregory, Afia Ali, Jennifer Y. F. Lau   +4 more
wiley   +1 more source

Tensor RT optimized driver drowsiness detection system using edge device

Ain Shams Engineering Journal
Driver drowsiness has emerged as a major issue in terms of road safety, causing dangerous and sometimes even fatal accidents. Fatalities, serious injuries, monetary losses, and property damages highlight the direct consequences of driver drowsiness ...
Chandramohan Dhasarathan, Sambasivam Gnanasekaran, Arnab Pattanayak, Gourav Kumar, Kartik Vig, Vaibhav Narain, K.M. Deva Narayan, Sunidhi Garg   +7 more
doaj   +1 more source