Prediction model for compressive strength of alkali-activated multi-source solid-waste grouting materials based on generative adversarial networks and machine learning. [PDF]
Yue Q +6 more
europepmc +1 more source
Stiffness‐Programmable Origami Robots With Tendon‐Driven Actuation via Multimaterial 3D Printing
Motion diversity is achieved in a tendon‐driven origami robot through programmable stiffness rather than modified actuation. Multimaterial 3D printing embeds soft creases, modular inserts redirect identical tendon inputs into distinct behaviors, and variable‐stiffness inserts enable real‐time switching.
Elisha Lerner, Jianguo Zhao
wiley +1 more source
Optimization of low-carbon multi-temperature joint distribution for fresh agricultural products under 3D loading constraints. [PDF]
Shao J, Gao F, Sun Y.
europepmc +1 more source
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair +4 more
wiley +1 more source
Joint optimization for throughput fairness maximization in laser-powered UAV communications. [PDF]
Zhang G, Dan Q, Zhang Y.
europepmc +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Continuous investment strategy in preservation technology for inventory management of perishable goods considering exponential demand growth, time-dependent deterioration, and partial backlogging dynamics. [PDF]
Nand A +4 more
europepmc +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
MambaGCN-SMI: Protocol state machine inference framework based on Mamba and GCN. [PDF]
Ren J, Li Q, Chu R, Chen Y.
europepmc +1 more source

