Results 171 to 180 of about 52,695 (260)
Nonplanar Bouligand Architectures for Enhanced Mechanical Performance in Cementitious Composites
Inspired by the impact region of the Mantis shrimp dactyl club, nonplanar additive manufacturing translates sinusoidal Bouligand architectures into cementitious composites. Printing‐induced anisotropy and architected interfaces promote distributed damage and arrest crack propagation, enhancing strength and energy absorption.
Yu Wang +7 more
wiley +1 more source
Multi-task adversarial learning detects intersectional algorithmic bias in AI recruitment systems. [PDF]
Wang J, Xu Y, Liu R, Du Y.
europepmc +1 more source
Chalcogen substitution emerges as a powerful strategy for designing high‐performance OMIECs. In aliphatic–glycol side chain diketopyrrolopyrrole polymers, biselenophene incorporation promotes a planar, polarizable, and doping‐tolerant quinoidal framework, enabling PDPP‐4EG‐Se2 to combine high hole mobility, large µC*, enhanced operational stability ...
Shinbee Oh +9 more
wiley +1 more source
Leeches and linchpins: a scoping review of seafood market intermediaries in small-scale fishery supply chains. [PDF]
Suri SK, Advani S.
europepmc +1 more source
Methanesulfonic Acid as a Dual‐Role Reagent for Porous Polymer Network Design
The design of porous polymer networks (PPNs) using methanesulfonic acid (MSA) as a dual‐role reagent facilitates the synthesis of robust PPNs for specific applications. It also makes the scale‐up process techno‐economically feasible because MSA functions simultaneously as both a solvent and a catalyst for the reaction.
Kelechi Festus +8 more
wiley +1 more source
Public perspectives on the trade-off between concentrating and dispersing health care benefits
Trigg L +4 more
europepmc +1 more source
Assessing the Incidence, Persistence and Clearance of Oral HPV Detection Among Metropolitan and Non-Metropolitan Indigenous Australian Adults. [PDF]
Reid NE +4 more
europepmc +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source

