Results 121 to 130 of about 137,142 (266)

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

Unifying energy and information harvesting for high-rate self-powered sensing. [PDF]

Sci Adv
Yu H, Wang Y, Du H, Xi Z, Li Y, Zheng Y, Chen J, Su Q, Hu G, Du T, Xu M.   +10 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

Self-powered magnetoelastic tents for sustainable energy access in unhoused communities. [PDF]

Matter
Fan X, Tat T, Chen G, Shen S, Zhou Y, Zhao X, Yin J, Chen J.   +7 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Self-Powered Triboelectric Nanogenerators in Intelligent Food Packaging: Recent Advances and Applications. [PDF]

Small
Liu Z, Wang F, Ouyang S, Hu Y, Zhang J, Meng Q, Ma Y, Ma S, Wang L.   +8 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

MEMS Energy Harvesting: Enabling Self-Powered Solutions. [PDF]

Micromachines (Basel)
Jia Y.
europepmc   +1 more source

Density Measurement of Irradiated and Nonirradiated Zirconium Oxide by Ptychographic X‐Ray Computed Tomography (PXCT)

Advanced Engineering Materials, EarlyView.
Mass density governs the protective behavior of oxide layers on nuclear fuel cladding. Ptychographic X‐ray computed tomography measures zirconium oxide grown on Zircaloy‐4 under reactor and autoclave conditions, revealing nearly identical bulk densities of 5.1 ± 0.80 g cm−3.
Okan Yetik, Liliana I. Duarte, Malgorzata G. Makowska, Roland Brütsch, Andrej Bullemer, Ana Diaz, Mirko Holler, Andreas Menzel, Johannes Bertsch, Pavel Trtik   +9 more
wiley   +1 more source

Self-Powered Triboelectric Biofluid Sensors for Early Disease Screening and Diagnosis: A Review. [PDF]

Nanomaterials (Basel)
Zhang Y, Wen H, Huang J, Zhu Q.
europepmc   +1 more source