Compound Heterozygote Friedreich Ataxia Patients With Covert Proximal FXN Gene Deletions
ABSTRACT We present Friedreich ataxia patients with frataxin gene deletions. Data and records were collected at the Children's Hospital of Philadelphia from patients enrolled in the FACOMS natural history study. Patients with proximal deletions initially diagnosed with only one GAA expanded allele had more severe disease than their homozygous expansion
Michael P. Lazaropoulos +5 more
wiley +1 more source
Advancing multilevel Bayesian networks with efficient Bayesian inference. [PDF]
Yirdaw BE +3 more
europepmc +1 more source
Association Between Motor Pathway Damage and Motor Deficit in Upper and Lower Limb in People With MS
ABSTRACT Objective Corticospinal tract damage is common in people with MS, but the degree of clinical symptoms varies. We hypothesize that corticospinal tract lesions are more extensive and severe in people with MS with motor impairments in both upper and lower limbs.
Mathilde Liffran +13 more
wiley +1 more source
Actuator and Sensor Fault Detection and Isolation for T-S Fuzzy Systems Based on Zonotopic Set-Membership. [PDF]
Li C, Zhu F, Ling X.
europepmc +1 more source
On quivers, spectral networks and black holes. [PDF]
Arnaudo P, Grassi A, Hao Q.
europepmc +1 more source
Adaptive Grid Search Method Using Dynamic Step-Size Adjustment for Robot-Tissue Interaction Force Estimation. [PDF]
Zhu Y, Li H.
europepmc +1 more source
A discrete element model for rock pressure sensitivity and stress-driven contact stiffness evolution. [PDF]
Wang C, Zhao Y, Zhu Y.
europepmc +1 more source
Model-free predictive control for PMSM based on a nonlinear autoregressive exogenous model and an adaptive recursive least squares algorithm. [PDF]
Shi X.
europepmc +1 more source
Probabilistic inference of homonymous and heteronymous recurrent inhibition in human muscles from large-scale motor neuron recordings. [PDF]
Dernoncourt F +4 more
europepmc +1 more source
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Identification of linear parameter varying models
Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304), 2002AbstractWe consider identification of a certain class of discrete‐time nonlinear systems known as linear parameter varying system. We assume that inputs, outputs and the scheduling parameters are directly measured, and a form of the functional dependence of the system coefficients on the parameters is known.
BAMIEH B., GIARRÈ, Laura
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