Results 151 to 160 of about 7,414,218 (263)
Physiotherapists' knowledge, attitude and practice of motor learning in stroke rehabilitation. [PDF]
Meyer E, Nel HW, Mahlangu D, Nel R.
europepmc +1 more source
Biomedical research involving United States Veterans continues to advance healthcare beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where Veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both ...
Austin M. Wheeler +20 more
wiley +1 more source
Distinct roles of brain network flexibility in motor learning across age. [PDF]
Uehara K, Hagihara M, Kitajo K.
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
Neuroanatomical and functional substrates underlying contralateral transfer of motor learning [PDF]
openL’apprendimento motorio è definito come l’acquisizione di nuove abilità motorie risultanti da interazioni ripetute con l’ambiente e che portano a cambiamenti nel sistema nervoso centrale.
PASI, BRIGITTA
core
Motor learning with force feedback instruments among laparoscopic surgeons and residents. [PDF]
G Moore A +4 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
A context-free model of savings in motor learning. [PDF]
Shahbazi M +3 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Quartermaster Motor Transport School, volume III, operations.
Pamphlet compiled primarily for providing instructors and students at the Quartermaster Motor Transport School with basic material on the operation of motor vehicles.
Quartermaster Motor Transport School
core

