Results 121 to 130 of about 84,321 (306)

BCS1L‐Associated Disease: 5′‐UTR Variant Shifts the Phenotype Towards Axonal Neuropathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To investigate the consequences of a pathogenic missense variant (c.838C>T; p.L280F) and a 5′‐UTR regulatory variant (c.‐122G>T) in BCS1L on disease pathogenesis and to understand how regulatory variants influence disease severity and clinical presentation.
Rotem Orbach, Nunziata Maio, Russell J. Butterfield, A. Reghan Foley, Sarah Silverstein, Yan Li, Katherine Chao, Tanya J. Lehky, Abigail Potticary, Tracey A. Rouault, Sandra Donkervoort, Carsten G. Bönnemann   +11 more
wiley   +1 more source

Interpolation of signals by generalized piecewise-linear multiple generators [PDF]

, 2004
Koichi Ichige, Thierry Blu, Michaël Unser   +2 more
openalex   +1 more source

A Validated Model to Predict Severe Weight Loss in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Severe weight loss in amyotrophic lateral sclerosis (ALS) is common, multifactorial, and associated with shortened survival. Using longitudinal weight data from over 6000 patients with ALS across three cohorts, we built an accelerated failure time model to predict the risk of future severe (≥ 10%) weight loss using five single‐timepoint ...
David G. Lester, Kevin Talbot, Martin R. Turner, Alexander G. Thompson, the Pooled Resource Open‐Access ALS Clinical Trials Consortium   +4 more
wiley   +1 more source

Boundary correction for piecewise linear interpolation defined over data-dependent triangulations

, 1992
Nira Dyn, David Levin, Samuel Rippa
openalex   +1 more source

A new pa behavioral model based on the linearization of multivariable nonlinearities and interpolation [PDF]

, 2005
Yilong Shen, J.L. Tauritz
openalex   +1 more source

Adaptive manifold‐mapping using multiquadric interpolation applied to linear actuator design [PDF]

, 2007
Domenico Lahaye, Aldo Canova, Giambattista Gruosso, Maurizio Repetto   +3 more
openalex   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

A comparison of linear interpolation models for iterative CT reconstruction. [PDF]

Med Phys, 2016
Hahn K, Schöndube H, Stierstorfer K, Hornegger J, Noo F.   +4 more
europepmc   +1 more source

A quadrature free convergent method for the numerical solution of linear Fredholm integral equations based on Hermite‐spline interpolation [PDF]

, 2007
S. Shahmorad, Ali Abdollahi
openalex   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
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, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source