Results 81 to 90 of about 5,341,863 (279)
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi +3 more
wiley +1 more source
Posterior Cortical Atrophy in the Asia‐Pacific: A Report From the PCA Asian Workgroup
ABSTRACT Objective Posterior Cortical Atrophy (PCA) is a distinct dementia syndrome primarily affecting spatial abilities and visual processing. It is associated with degeneration in the posterior part of the brain. PCA is subclassified into PCA‐pure and PCA‐plus syndromes based on consensus criteria.
Yuttachai Likitjaroen +11 more
wiley +1 more source
Sign Language Recognition Based on CNN-BiLSTM Using RF Signals
As the number of individuals with speech and hearing impairments continues to grow, the demand for sign language recognition systems is increasing. Furthermore, most radio frequency-based gesture recognition systems have primarily focused on simple ...
Yajun Zhang +5 more
doaj +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Video-based automatic sign language recognition
:In video-based automatic gesture recognition, interfering factors such as hand occlusion and color closeness between background and skin of the signer often result in errors in hand segmentation and hand tracking.
Zhang Sheng-Jun
doaj
Recent AI-based technologies in mobile environments have enabled sign language recognition, allowing deaf individuals to communicate effectively with hearing individuals.
Taewan Kim, Bongjae Kim
doaj +1 more source
A CNN-Based System for Sign Language Recognition [PDF]
Sign language plays a vital role in enabling communication for individuals with hearing impairments. To foster meaningful engagement with this community, learning sign language is essential.
Marwa Mustafa, Bassant Sayed
doaj +1 more source
Isolated sign recognition using ASL datasets with consistent text-based gloss labeling and curriculum learning [PDF]
We present a new approach for isolated sign recognition, which combines a spatial-temporal Graph Convolution Network (GCN) architecture for modeling human skeleton keypoints with late fusion of both the forward and backward video streams, and we explore ...
Neidle, Carol +3 more
core
[18F]Fluorodeprenyl‐D2 PET as a Tool to Monitor Disease Activity in GAD65‐Ab Autoimmune Encephalitis
ABSTRACT Objective To evaluate [18F]fluorodeprenyl‐D2 ([18F]F‐DED) positron‐emission tomography (PET) imaging as a biomarker of disease activity in autoimmune encephalitis (AIE) associated with glutamic acid decarboxylase 65 (GAD65) antibodies. Methods [18F]F‐DED PET was performed in 25 GAD65‐AIE patients and 8 controls using dynamic (0–60 min) and ...
Julia S. Dorneich +19 more
wiley +1 more source
Sign Language Recognition using Linguistically Derived Sub-Units [PDF]
This work proposes to learn linguistically-derived sub-unit classifiers for sign language. The responses of these classifiers can be combined by Markov models, producing efficient sign-level recognition.
Bowden, R, Cooper, H
core

