Results 141 to 150 of about 478,249 (265)
Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen +6 more
wiley +1 more source
Music recognition based on diffractive neural networks. [PDF]
Ge X, Feng Z, Ma Q.
europepmc +1 more source
Histopathological Evidence of Neurodegenerative Pathology in Epilepsy: A Systematic Review
ABSTRACT Epilepsy affects > 50 million people worldwide and is associated with a disproportionate burden of cognitive impairment. Emerging evidence suggests that neurodegenerative proteinopathies, particularly hyperphosphorylated tau (p‐tau) and amyloid‐β (Aβ), may contribute to cognitive dysfunction in people with epilepsy (PWE), even in the absence ...
Syeda Amrah Hashmi +7 more
wiley +1 more source
Self-Explaining Neural Networks for Transparent Parkinson's Disease Screening. [PDF]
Farfoura ME, Alkhatib AAA, Connie T.
europepmc +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Objective Gastrointestinal (GI) involvement can lead to malnutrition in patients with systemic sclerosis (SSc). Body mass index (BMI) remains the most widely used marker to screen nutritional status. We aimed to identify predictors of lower BMI in patients with SSc. Methods Patients with SSc from a prospective US cohort meeting 2013 American College of
Ali Y. Ayla +8 more
wiley +1 more source
Backpropagation-free spiking neural networks with the forward-forward algorithm. [PDF]
Ghader M +3 more
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source

