A primer on variational inference for physics-informed deep generative modelling. [PDF]
Glyn-Davies A+4 more
europepmc +1 more source
Influence of Dystrophin Isoform Deficiency on Motor Development in Duchenne Muscular Dystrophy
ABSTRACT Objective In Duchenne muscular dystrophy (DMD), lack of the shorter dystrophin isoforms Dp140 and Dp71 is associated with increased central nervous system (CNS) involvement. We aimed to investigate how CNS involvement affects motor development in young DMD boys.
Mary Chesshyre+152 more
wiley +1 more source
Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational quantum algorithm. [PDF]
Köcher N+4 more
europepmc +1 more source
Variational methods in problems of control and programming
Leonard D. Berkovitz
openalex +1 more source
Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia
ABSTRACT Objective Bilateral globus pallidus pars interna deep brain stimulation (GPi‐DBS) is a recognized and effective treatment option for drug‐resistant dystonia patients. However, the clinical GPi‐DBS outcomes vary significantly. Herein, we explored the pre‐implant factors affecting GPi‐DBS effectiveness.
Mahboubeh Ahmadipour+6 more
wiley +1 more source
An Adaptive Robust Event-Triggered Variational Bayesian Filtering Method with Heavy-Tailed Noise. [PDF]
Deng D, Yi P, Xiong J.
europepmc +1 more source
Genetic Diversity and Expanded Phenotypes in Dystonia: Insights From Large‐Scale Exome Sequencing
ABSTRACT Objective Dystonia is one of the most prevalent movement disorders, characterized by significant clinical and etiological heterogeneity. Despite considerable heritability (~25%), the etiology in most patients remains elusive. Moreover, understanding correlations between clinical manifestations and genetic variants has become increasingly ...
Mirja Thomsen+47 more
wiley +1 more source
A time-independent, variational method for studying the photodissociation of triatomic molecules.
Pezzella M+4 more
europepmc +1 more source
Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs. [PDF]
Berger S, Hosters N, Möller M.
europepmc +1 more source