Results 111 to 120 of about 25,441 (258)

RETRACTED: Learner emotions and performance in hypercasual VR games with adaptive AI difficulty

British Educational Research Journal, EarlyView.
Abstract Hypercasual virtual reality games (HVRGs) are widely regarded as cost‐effective tools for rapid skill acquisition, yet the mechanisms that optimise their effectiveness and user acceptance remain insufficiently explored. This mixed‐methods empirical study investigates how playful emotions, characterised by engagement, enjoyment and anxiety ...
Zeeshan Ahmed, Faizan Ahmad, Chen Hui
wiley   +1 more source

Structural and Functional Imaging of Motor Outcomes in Twins With Perinatal Stroke: A Case Report

Annals of the Child Neurology Society, EarlyView.
ABSTRACT Background Perinatal arterial ischemic stroke (AIS) affects 1 in 4000 live births. Dystonia, affecting ~20% of children following AIS, is characterized by involuntary muscle contractions and abnormal movements. Why some develop dystonia post AIS, while others do not, remains unclear.
Prisca Hsu, Trish Domi, Cecilia Jobst, Min Sheng, Amanda Robertson, Erum Syed, Pradeep Krishnan, Douglas Cheyne, Nomazulu Dlamini   +8 more
wiley   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
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, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Open diffusion magnetic resonance imaging and connectivity data for epilepsy and surgery: The IDEAS II release

Epilepsia, EarlyView.
Abstract Objective Epileptic seizures are generated in cerebral networks that propagate ictal and interictal activity. The structure of cerebral networks underpinning epileptic activity can be inferred from diffusion‐weighted magnetic resonance imaging (DWI).
Peter N. Taylor, Gerard Hall, Jonathan Horsley, Yujiang Wang, Sjoerd B. Vos, Gavin P. Winston, Andrew W. McEvoy, Anna Miserocchi, Jane de Tisi, John S. Duncan   +9 more
wiley   +1 more source

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

Food Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang, Shuangcheng Huang, Qingbo Lu, Xinyi Guo   +3 more
wiley   +1 more source

BiT‐MoFE: Unified illumination correction in capsule endoscopy

Journal of Intelligent Medicine, EarlyView.
Abstract As a prevalent non‐invasive screening technique, Wireless Capsule Endoscopy is often hindered by poor image quality, including under‐/overexposure and low light condition. While illumination correction based on diffusion modeling or frequency‐domain decomposition has shown effectiveness, existing methods often (1) underexploit structural ...
Haoyu Ding, Yuntong Tian, Tianling Liu, Hongying Liu, Liang Wan   +4 more
wiley   +1 more source

The Role of Magnetic Resonance Spectroscopy (MRS), Diffusion‐Tensor‐Imaging (DTI) and Structural MRI in the Alzheimer's Disease and Mild Cognitive Impairment Diagnosis: A Review

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Alzheimer's disease (AD) is one of the most common neurological disorders affecting older adults, with approximately 7.2 million cases only in the United States. This number is projected to increase to 13.8 million in the United States by 2060, leading to increased expenditures for healthcare, long‐term care and hospice services. Consequently,
Valentina Zecca, Gianmauro Palombelli, Nicola Vanacore, Rossella Canese   +3 more
wiley   +1 more source

A hybrid attention and dilated convolution framework for entity and relation extraction and mining. [PDF]

Sci Rep, 2023
Shan Y, Lu H, Lou W.
europepmc   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

An electroencephalography sleep staging model based on bidirectional Mamba combining synergistic attention with interactive convolution

Sleep Research, EarlyView.
Abstract Background This study presents SIMSleepSM, a novel single‐channel electroencephalography (EEG) sleep staging model. It addresses two primary challenges: insufficient modeling of long‐range temporal dependencies combined with limited multi‐scale feature extraction, and poor accuracy in identifying the N1 stage.
Ya‐mei Xu, Ding‐Yuan An
wiley   +1 more source