The study proposes a spectral feature-based compression method for vibrotactile acceleration signals, which achieves high time-frequency similarity and a 10% compression ratio. The method is suitable for long-term data compression and can further reduce the compression ratio for multi-interaction points.
Researchers successfully grow high-quality single-crystal graphene sheets on insulating supports using a copper-catalyzed decomposition method. The resulting graphene exhibits excellent electronic performance due to its high crystallinity and minimal surface folds.
Engineers from the University of Delaware develop procedure to purify monoclonal antibodies with 43% higher productivity, thanks to understanding of adsorption affinity and its role in protein transport into ion-exchange beads. This breakthrough could lead to reduced waste during expensive drug manufacturing process.
A fractal-shaped electrode design enhances charge delivery for smaller neural stimulation targets, potentially prolonging device lifespan and improving resolution. The new shape facilitates faster Faradaic charge transfer, resulting in more efficient energy use.
University of Massachusetts Amherst engineers develop a physical processing method to reduce surface roughness in conducting thin films. This approach uses electrical surface treatment to smooth out the metallic surface, reducing its ability to conduct electrical and thermal energy.
Researchers have identified a new way for molecules to move across graphene surfaces, allowing for faster and more controlled motion than previously observed. This discovery opens up possibilities for industrial applications in improved sensors and filters.
Theoretical physicists created models to study van der Waals-Casimir-Polder (vdW-CP) force, which depends on electron diffusion. This finding could contribute to designing minimally invasive surface probes for quantum computer hardware architectures.