Results 221 to 230 of about 1,397,252 (312)

Probabilistic inference of homonymous and heteronymous recurrent inhibition in human muscles from large-scale motor neuron recordings. [PDF]

Sci Adv
Dernoncourt F, Avrillon S, Cattagni T, Farina D, Hug F.   +4 more
europepmc   +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

Management of choking in Motor Neuron Disease: patient and public involvement in a co-produced mixed-methods study protocol. [PDF]

Res Involv Engagem
Moffatt D, Hinton L, Spurway L, Martin A, Drinkwater N, Noonan D, Rose C, Mazzucco S.   +7 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
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, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Acute Hypercapnic Respiratory Failure as the Initial Presentation of Motor Neuron Disease: A Respiratory Diagnostic Challenge. [PDF]

Cureus
Ferdoush S, Seklani M, Kumar P, Abekoon Mudiyanselage SRJ, Dsouza A.   +4 more
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Base editing rescues a hereditary motor neuron disease in mouse and patient-derived iPSC organoid models. [PDF]

Mol Ther Adv
Imamura K, Yoshioka S, Kamizato K, Oki R, Hioki H, Tsukita K, Inoue I, Shimizu R, Takiguchi M, Sakasai T, Okusa A, Shibukawa R, Niki T, Sakurai S, Okunomiya T, Kondo T, Kato T, Miyanohara A, Kakinohana M, Yamamoto T, Marsala M, Nishida K, Izumi Y, Inoue H.   +23 more
europepmc   +1 more source

Fabrication Routes for Ionic Conducting Fiber Strain Sensors

Advanced Engineering Materials, EarlyView.
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw, Zhanhong Yang, Anne Ladegaard Skov, Magdalena Skowyra   +3 more
wiley   +1 more source

Single-nucleus multiome shows motor neuron glutamate overactivation in amyotrophic lateral sclerosis. [PDF]

Brain
Takeuchi E, Yasumizu Y, Yasumizu Y, Morita J, Ishikawa M, Ogawa K, Motooka D, Okuzaki D, Nagata M, Ishihara Y, Miyashita Y, Asano Y, Mori K, Morii E, Beck G, Saito Y, Murayama S, Mochizuki H, Nagano S.   +18 more
europepmc   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source