Results 91 to 100 of about 12,622 (268)
ABSTRACT Objective Eating disorders (EDs) are severe and complex psychiatric illnesses, with adolescence and young adulthood representing particularly vulnerable periods for onset, relapse and disruptions in treatment. The transition from Child and Adolescent Mental Health Services (CAMHS) to Adult Mental Health Services (AMHS) is especially complex ...
Maria Livanou +19 more
wiley +1 more source
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri +8 more
wiley +1 more source
In recent years, the advances in deep neural networks (DNNs) and large language models (LLMs) have led to major breakthroughs and new levels of performance in Natural Language Processing (NLP), including tasks related to speech processing. Based on these
Francisco Javier Lima Florido +1 more
doaj +1 more source
Abstract Objective Conceptualizing functional/dissociative seizures (FDS) as resulting from dissociation, or conversion, we hypothesized that, compared to epileptic seizures (ES), FDS should carry more symbolic or communicative content and that this would allow observers to distinguish FDS from ES.
Nayrin Dissouky +8 more
wiley +1 more source
This paper presents a real-time speech-to-text (STT) system designed for edge computing environments requiring ultra-low latency and local processing.
Stefano Di Leo +2 more
doaj +1 more source
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron +7 more
wiley +1 more source
The vibration of acoustic systems can be represented through modal decomposition, reducing the problem to a set of harmonic oscillators. This study investigates the real-time performance of CPUs, GPUs, and FPGAs in implementing such models, focusing on ...
Romain Michon +5 more
doaj +1 more source
Audio classification under low latency constraint
This thesis focuses on audio classification under low-latency constraints. Audio classification has been widely studied for the past few years, however, a large majority of the existing work presents classification systems that are not subject to temporal constraints : the audio signal can be scanned freely in order to gather the needed information to ...
openaire +1 more source
Development and psychometric properties of a general cancer stigma scale
What's New? Cancer‐related stigma can fuel anxiety and depression and lead to self‐isolation, delayed treatment, and decreased quality of life. The extent to which stigma impacts cancer patients, however, remains uncertain. This study applied mixed methods in high‐ and low‐income settings, with cohorts in the U.S. state of Utah and Lilongwe, Malawi, to
Stephen M. Kimani +11 more
wiley +1 more source
ABSTRACT Purpose As teledentistry becomes more common, it is important for students to develop skills in communicating with patients virtually. This study investigated students’ individual communication perceptions and preferences compared to in‐person sessions of participating in standardized patient (SP) exercises in a virtual medium. Methods Between
Jhanvi P. Desai +2 more
wiley +1 more source

