Analytical Prediction of Critical Transitions in Oscillator Networks With Non‐Local Links
An analytical framework reveals how global coupling, second‐harmonic strength, noise, and network structure govern oscillator‐based Ising dynamics. Spectral reduction predicts stability boundaries, while Fokker–Planck analysis captures one‐ to two‐cluster transitions and identifies conditions favoring low‐energy configurations.
Qiang Li +5 more
wiley +1 more source
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin +6 more
wiley +1 more source
Product‐Reshaped Gas‐Phase Hydrodynamics Govern CO2 Electrolysis in Gas Diffusion Electrodes
In gas‐fed CO2${\rm CO}_2$ electrolysers, the gas phase is part of the electrochemical response. As gaseous products form, they change gas composition and flow, which in turn affects CO2${\rm CO}_2$ delivery and CO intermediate availability. This feedback changes the reaction environment needed for multicarbon formation, becoming unavoidable as ...
Abdullah A. Alyahya +6 more
wiley +1 more source
Optimizing Tree Selection for Sustainable Logging in Amazonian Areas with Species Restrictions Using Bio-Inspired Algorithms. [PDF]
Grajeda S, Tupia M, Cueva R.
europepmc +1 more source
µSlicer for Programmable Multimaterial 3D Printing
ABSTRACT Nature rarely builds with uniform materials; instead, it achieves exceptional performance by arranging composition and structure across multiple length scales. Mimicking such architectures has become increasingly feasible with additive manufacturing, and especially with multimaterial 3D printing, where complex structures with spatially varying
Daniel H. Meile +5 more
wiley +1 more source
An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang +9 more
wiley +1 more source
Trajectory-based identification of cognitive-performance phenotypes across adulthood from psychophysiological testing. [PDF]
Zapryalov AE +4 more
europepmc +1 more source
Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim +11 more
wiley +1 more source
Tree-drawing test characteristics as potential predictors of adolescent depressive disorders. [PDF]
Lu Y, Chen X, Qiqige, Yi R, Bai J.
europepmc +1 more source
This paper presents the process of integrating electronics directly into the body sheet of CurveQuad, a small origami robot that can self‐fold, crawl, and steer with a single actuator. The authors design a flexible printed circuit board for the body sheet: the key challenge is to navigate how embedding electronics affects the mechanical properties and ...
Xuelin Wu +6 more
wiley +1 more source

