Results 101 to 110 of about 1,724 (248)

Robo‐Saber: Generating and Simulating Virtual Reality Players

Computer Graphics Forum, EarlyView.
Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim, M. J. Liu, J. Lehtinen, P. Hämäläinen, J. F. O'Brien, X. B. Peng   +5 more
wiley   +1 more source

Guidance on artificial intelligence use for rapid evidence mapping of early childhood intervention outcome measures

Developmental Medicine &Child Neurology, EarlyView.
Aim To synthesize research evidence on the psychometric properties of outcome measures alongside practical implementation considerations relevant to children, families, practitioners, and services, and produce evidence‐based practice resources to support clinical decision‐making in outcome measurement for the early childhood intervention (ECI) context.
Suzanne H. Long, Anita L. D'Aprano, Francesca Lami, Meghan R. Wilson, Sarah J. Knight, Miriam J. Yates, Christine Imms   +6 more
wiley   +1 more source

Psychosocial aspects of early detection in type 1 diabetes: Language matters, decision making and support needs

Diabetic Medicine, EarlyView.
Abstract Aim The potential implementation of early type 1 diabetes (T1D) detection pathways, encompassing autoantibody screening and longitudinal monitoring, raises important psychosocial considerations for ethical, person‐centred care. This review summarises evidence on the psychosocial impact of early T1D detection, identifying key evidence gaps and ...
Maartje de Wit, Laura Yvonne Klinker, Belinda Moore, Anna Boggiss, Lucía Feito Allonca, Mariam Asaad, Keely Bebbington, Bryan Cleal, Sasja Huisman, Per Winterdijk, Henk Jan Aanstoot, Christine Fransman, Elizabeth Holmes‐Truscott, Norbert Hermanns, Giesje Nefs   +14 more
wiley   +1 more source

Under‐ and overdosing insulin in the hospital: A retrospective cohort study of dose deviation and patient outcomes

Diabetic Medicine, EarlyView.
Abstract Aims Glycaemic abnormalities during hospitalization are common and linked to morbidity and mortality, yet little is known about how deviations from guideline‐recommended insulin dosing affect outcomes. The aim of this study is to examine whether deviation from an expected insulin dose in non‐critically ill hospitalized adults with type 2 ...
Hussein Zaitoon, Sher Matsri, Shira Nagler, Matteo M. Lalovich, Ralph A. DeFronzo, Eugene Feigin   +5 more
wiley   +1 more source

Machine Learning Assessment of Crash Severity in ADS and ADAS-L2 Involved Crashes with NHTSA Data

Safety
As the deployment of Automated Driving Systems (ADS) and Advanced Driver Assistance Systems (ADAS-L2) expands, understanding their real-world safety performance becomes essential.
Nasim Samadi, Ramina Javid, Sanam Ziaei Ansaroudi, Neda Dehestanimonfared, Mojtaba Naseri, Mansoureh Jeihani   +5 more
doaj   +1 more source

Early Worsening of Diabetic Retinopathy Following Initiation of Hybrid Closed‐Loop/Automated Insulin Delivery Systems in Type 1 Diabetes: A Systematic Review and Structured Study‐Level Synthesis

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Background Hybrid closed‐loop (HCL) systems achieve rapid, algorithm‐driven improvements in glycaemia in type 1 diabetes (T1D). Paradoxically, rapid improvement in glycaemic control is associated with early worsening of diabetic retinopathy (EWDR), a phenomenon established in the intensive insulin therapy era.
Matthew Anson, Ahmed Iqbal, Shazli Azmi, Philip Weston, Lucy Hughes, Mahreen Choudhury, David M. Hughes, Yalin Zheng, Philip I. Burgess, Uazman Alam   +9 more
wiley   +1 more source

A real-time multimodal framework for driver behavior recognition using transformer and reinforcement learning

Journal of Big Data
Advanced Driver-Assistance Systems (ADAS) and other in-vehicle technologies often fail to capture critical indicators of unsafe driver behavior, such as fatigue, distraction, or emotional states.
M. A. Sayedelahl, Ahmed M. Khalil, Mohamed S. Benlamine, Abeer A. Wafa, Osama Abu-Elnasr, Hanan E. Abdelkader, Amr A. Abohany   +6 more
doaj   +1 more source

Gender and Leadership Trajectories in Academic Dentistry

European Journal of Dental Education, EarlyView.
ABSTRACT Objectives Despite increased number of women entering dental academia in the last decade, gender disparities persist in leadership roles. This study examined gender trends within administrative leadership across U.S. dental schools. Materials and Methods Data on gender, age, employment status, academic rank and administrative title were ...
Nikkita Madhu, Divya Kohli, Linda Sangalli   +2 more
wiley   +1 more source

TIR‐YOLO‐ADAS: A thermal infrared object detection framework for advanced driver assistance systems

IET Intelligent Transport Systems
An object detection framework using thermal infrared (TIR) cameras is proposed to meet the needs of an advanced driver assistance system (ADAS) operating at night‐time and in low‐visibility conditions. The proposed detection framework, referred to as TIR‐
Meng Ding, Song Guan, Hao Liu, Kuaikuai Yu   +3 more
doaj   +1 more source

Mental Health and Wellbeing Promotion in Teaching and Learning for Dental Students in Australian Universities: A Scoping Review

European Journal of Dental Education, EarlyView.
ABSTRACT Introduction Current policy, frameworks and governance for the mental health and wellbeing of dental students in Australian universities require examination to support the development of settings‐based mental health promotion and prevention strategies in dental education in Australia.
Meagan Huebl, Amy Hickman
wiley   +1 more source