Natural Cell Patches: Melanin Nanoparticles for MR Imaging‐Guided Antiatherosclerosis Therapy via Attenuating Macrophage Pyroptosis (Adv. Funct. Mater. 13/2023)

Materials and Wireless Microfluidic Systems for Electronics Capable of Chemical Dissolution on Demand (Adv. Funct. Mater. 92015)

Metamaterials: Snapping Mechanical Metamaterials under Tension (Adv. Mater. 39/2015).

By exploiting snap-through instabilities, D. Pasini and co-workers design a damage-tolerant mechanical metamaterial that snaps sequentially under tension, thereby accommodating a very large deformation up to 150%. On page 5931, they describe how the nonlinear mechanical response of the metamaterial can be robustly programmed by tuning the architecture of its unit cell.

Superior Performance of Polyurethane Based on Natural Melanin Nanoparticles.

Melanin, a kind of well-known multifunctional biomacromolecules that are widely distributed in natural sources. In this work, polyurethane (PU)/melanin nanocomposites with enhanced tensile strength and toughness were successfully fabricated via in situ polymerization. It was found that the tensile strength (σ), elongation-at-break (εmax), and toughness (W) were improved from 5.6 MPa, 770%, and ...

Pyroptosis: Macrophage Suicide Exposes Hidden Invaders

Caspase-1 plays a key role in host defense through its dual function in inducing a pro-inflammatory cell death termed pyroptosis and in promoting the secretion of pro-inflammatory cytokines. A new study now highlights the specific importance of pyroptosis in resistance to intracellular pathogens.

From Patches to Natural Images via Hierarchical Dirichlet Processes

We propose a hierarchical generative model that captures the self-similar structure of image regions as well as how this structure is shared across image collections. Our model is based on a novel, variational interpretation of the popular expected patch log-likelihood (EPLL) method as a model for randomly positioned grids of image patches. While previous EPLL methods modeled the density of ima...