NTU Singapore study finds river sand mining is outstripping nature’s supply
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Oct-2026 11:16 ET (30-Oct-2026 15:16 GMT/UTC)
The sand used to build cities, roads and other infrastructure is being removed from many rivers faster than nature can replace it, according to a global review led by researchers from Nanyang Technological University, Singapore (NTU Singapore).
An international team of scientists has uncovered new information about the natural enemies of the weevil beetle Lixus subtilis, a notorious agricultural pest. Published in the journal ZooKeys, the study reveals the discovery of an entirely new species of hyperparasitoid wasp in China, named after the famous writer Ernest Hemingway, alongside the first regional record of a wasp species that parasitises the weevil pest. Together, these findings offer critical insights into complex agricultural food chains and provide a foundational step toward developing better biological pest control methods.
Researchers have developed a novel adaptive asymptotic tracking control system for vehicle active suspensions, integrating an event-triggered mechanism and actuator saturation compensation. The technology improves ride smoothness and control accuracy while cutting computational load and communication resource consumption by over 80%, providing a practical low-cost solution for next-generation intelligent vehicle suspensions. The findings are published in Advanced Equipment.Researchers have developed a novel adaptive asymptotic tracking control system for vehicle active suspensions, integrating an event-triggered mechanism and actuator saturation compensation. The technology improves ride smoothness and control accuracy while cutting computational load and communication resource consumption by over 80%, providing a practical low-cost solution for next-generation intelligent vehicle suspensions. The findings are published in Advanced Equipment.
As intelligent electronics become increasingly integrated into daily life, health care, virtual interaction, and assistive systems, human–machine interfaces (HMIs) require sensing platforms that are not only wearable and self-powered but also capable of translating human signals into adaptive machine functions. Triboelectric wearable sensors are particularly attractive in this regard because they directly transduce human-generated mechanical stimuli, provide broad material and structural design freedom, and are readily adaptable to body-interfaced formats. In this review, wearability refers to body-mounted, skin-interfaced, textile-integrated, or otherwise human-attached triboelectric sensing platforms, whereas human-centric smart electronics refers to downstream electronic systems that remain functionally anchored to human-originated sensing, interpretation, feedback, or control. From this perspective, we review triboelectric wearable sensors from fundamentals to applications, covering working principles, material selection, device architectures, and fabrication strategies. We further discuss artificial intelligence-assisted signal processing, triboelectric artificial synapses, and neuromorphic computing as key bridges from self-powered sensing to intelligent HMI. Representative application spaces, including health care, gesture recognition, device control, immersive virtual interaction, wearable-to-robotic extensions, and intelligent transportation are discussed only when wearable triboelectric sensing serves as the primary human–input interface. Finally, the remaining challenges and future directions toward next-generation human-centric smart electronics are outlined.
Disorder is emerging as a powerful design principle in nanophotonics, enabling optical functionalities beyond periodic architectures. Researchers from the University of Florence and the University of Southampton, in collaboration with Eindhoven University of Technology show that hyperuniform disordered photonic networks host an unusually rich modal landscape, combining spectral level repulsion, distinct Anderson and Lifshitz-like localized states, and controlled hybridization of defect modes within a single architecture, opening new routes toward programmable disorder-based photonic devices.