ENSO phase transition enables prediction of winter North Atlantic Oscillation one year ahead. [PDF]
Kim K, Lee MI, Scaife AA, Smith DM.
europepmc +1 more source
Light‐Programmable Interfaces: From Molecular Photoswitching to Adaptive Membrane Separations
This review advances an interface‐centered framework for light‐responsive membranes, linking molecular photoswitches (azobenzene (AZO), spiropyran (SP), diarylethene (DAE), donor–acceptor Stenhouse adducts (DASA), photoacid) to integration strategies in polymeric, porous, self‐assembled, and mixed‐matrix systems.
Liangliang Zhang +6 more
wiley +1 more source
Higher-level spatial prediction in natural vision across mouse visual cortex. [PDF]
Heilbron M, de Lange FP.
europepmc +1 more source
Topological Point Defects in SmC* Liquid Crystals Under Mechanical Disturbance
Tangetial air jet shear inducess island formation and nucleates topological point defects in uniform SmC films. Island bounded by edge dislocation loops shrink and transform into isolated point defects under continued shear. Mechanical perturbatio provides a controllable route for defect engineering in smectric liquid crystal thin films.
Gunganist Kongklad +3 more
wiley +1 more source
High-frequency monitoring data reveal substantial variability in the intrinsic predictability of ecosystem dynamics. [PDF]
Carey CC +3 more
europepmc +1 more source
Pattern Formation in Non‐Equilibrium Architected Materials
This article demonstrates an artificial mechanical system ‐ a robotic metamaterial ‐ as an accessible and versatile platform within which to explore and prescribe the reaction‐diffusion driven pattern formation hitherto associated with comparatively less accessible and versatile non‐equilibrium biological and chemical systems.
Vinod Ramakrishnan, Michael J. Frazier
wiley +1 more source
Prospective study analyzing wavefront-guided LASIK and PRK surgery performed by cornea fellows in training. [PDF]
Chung ME, Manche EE.
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
How the brain predicts timing: distinct network hubs for predicting and evaluating auditory sensory events. [PDF]
Nagy P +7 more
europepmc +1 more source

