Results 161 to 170 of about 176,597 (260)

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   +2 more
wiley   +1 more source

Functional connectotomy of a whole-brain model reveals tumor-induced alterations to neuronal dynamics in glioma patients. [PDF]

Netw Neurosci
Alexandersen CG, Douw L, Zimmermann MLM, Bick C, Goriely A.   +4 more
europepmc   +1 more source

β‐Catenin/c‐Myc Axis Modulates Autophagy Response to Different Ammonia Concentrations

Advanced Biology, Volume 9, Issue 3, March 2025.
Ammonia, detoxified by the liver into urea and glutamine, impacts autophagy differently at varying levels. Low ammonia activates autophagy via c‐Myc and β‐catenin, while high levels suppress it. Using Huh7 cells and Spf‐ash mice, c‐Myc's role in cytoprotective autophagy is revealed, offering insights into hyperammonemia and potential therapeutic ...
S. Sergio, B. Spedicato, G. Corallo, A. Inguscio, M. Greco, D. Musarò, D. Vergara, A. F. Muro, G. De Sabbata, L. R. Soria, N. Brunetti Pierri, M. Maffia   +11 more
wiley   +1 more source

Light‐Assisted 3D Printing Techniques and Photocrosslinking Strategies: Recent Advances in Musculoskeletal Tissue Engineering

Advanced Engineering Materials, EarlyView.
In this review, the current state of light‐assisted 3D printing as it pertains to engineering musculoskeletal tissues including bone, cartilage, skeletal muscle, tendon, and ligaments is summarized. Common printing techniques, photoreactive materials, and study design choices are compiled and reviewed.
Meagan Morgan, Bin Zhang, Roger Narayan
wiley   +1 more source

Acupuncture Modulates Spatiotemporal Neuronal Dynamics in Mild Cognitive Impairment: A Protocol for Simultaneous EEG-fMRI Study. [PDF]

J Multidiscip Healthc
Li YQ, Chen ZW, He H, Liu YW, Ye F, Yang ZQ, Li DH, Bao QN, Zhang XY, Zhong WQ, Wu KX, Yao J, Xu P, Yang SQ, Wang ZW, Yin ZH, Liang FR.   +16 more
europepmc   +1 more source

Versatile live-cell activity analysis platform for characterization of neuronal dynamics at single-cell and network level. [PDF]

Nat Commun, 2020
Yuan X, Schröter M, Obien MEJ, Fiscella M, Gong W, Kikuchi T, Odawara A, Noji S, Suzuki I, Takahashi J, Hierlemann A, Frey U.   +11 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

Time delays in computational models of neuronal and synaptic dynamics

Frontiers in Computational Neuroscience
Mojtaba Madadi Asl, Mojtaba Madadi Asl
doaj   +1 more source

Link Brain-Wide Projectome to Neuronal Dynamics in the Mouse Brain. [PDF]

Neurosci Bull
Li X, Du Y, Huang JF, Li WW, Song W, Fan RN, Zhou H, Jiang T, Lu CG, Guan Z, Wang XF, Gong H, Li XN, Li A, Fu L, Sun YG.   +15 more
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source