Results 161 to 170 of about 99,773 (316)
Early Recognition of Treatment‐Responsive Rapidly Progressive Dementia: The Modified STAM3mP Score
ABSTRACT Early identification of patients with treatment‐responsive rapidly progressive dementia (RPD) is important as early treatment improves outcomes. The STAM3P score identifies treatment‐responsive RPD using “high risk” presenting features. We optimized performance by adding a time component (i.e., dementia within 3 months) and validated the ...
R. W. van Steenhoven +16 more
wiley +1 more source
This paper addresses the global exponential dissipativity of memristor-based recurrent neural networks with time-varying delays. By constructing proper Lyapunov functionals and using M-matrix theory and LaSalle invariant principle, the sets of global ...
Wang, J, Yan, Z, Guo, Z
core +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
A reliable forecast of future events possesses great value. The main purpose of this paper is to propose an innovative learning technique for reinforcing the accuracy of two-step-ahead (2SA) forecasts.
Chang, Li-Chiu; Chen, Pin-An; Chang, Fi-John
core +1 more source
White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian +8 more
wiley +1 more source
Efficient event-based delay learning in spiking neural networks
Spiking Neural Networks compute using sparse communication and are attracting increased attention as a more energy-efficient alternative to traditional Artificial Neural Networks.
Balázs Mészáros +2 more
doaj +1 more source
Recurrent Neural Networks and Super-Turing Interactive Computation
We present a complete overview of the computational power of recurrent neural networks involved in an interactive bio-inspired computational paradigm.
Jérémie Cabessa +3 more
core +1 more source
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
A 57‐Year‐Old Male With Behavioral Variant Frontotemporal Dementia and MATR3 and NOS3 Mutations
ABSTRACT This report presents a case of behavioral variant frontotemporal dementia caused by mutations in the MATR3 and NOS3 genes, aiming to analyze its clinical manifestations and genetic characteristics. For a case presenting with personality changes and gait abnormalities as the initial symptoms, this study conducted a comprehensive analysis of its
Feifei Lin, Saie Huang
wiley +1 more source

