Distributed fiber-optic acoustic sensing is an emerging technology that has been used for geophysical exploration, earthquake monitoring and structural health monitoring, etc., with continuous monitoring capability over long fiber spans. However, the technology still suffers from the trade-off between measurement speed and dynamic strain measurement range. Recently, researchers from Huazhong University of Science and Technology (China) and Universidad Técnica Federico Santa María (Chile) have developed a frequency-comb spectrum-correlation reflectometry based distributed fiber-optic acoustic sensing technique, which achieves an order-of-magnitude improvement in frequency response over the state-of-the-art fast frequency scanning methods, meanwhile it achieves more than tenfold enhancement in dynamic strain measurement range in comparison with the existing phase-demodulated systems. This breakthrough represents a new paradigm for distributed fiber-optic sensing and will meet the urgent demands across a wide range of industrial fields.

POSTECH Professor Kilwon Cho’s Team Develops a Wearable Vibration Sensor Capable of Accurately Detecting Minute Physiological Vibrations.

A research team from multiple institutions including the Ningbo Institute of Materials Technology and Engineering (CAS), Beijing Computational Science Research Center, and Hangzhou Dianzi University has developed a new strategy to design metallic glasses (MGs) that are both kinetically ultra stable and mechanically ductile. The study shows that by engineering specific spatial patterns of oxygen atoms within a zirconium-copper metallic glass, the material can resist structural change at high temperatures (kinetic stability) while retaining the ability to deform plastically without turning brittle. This discovery effectively decouples two properties that were previously thought to be inextricably linked, opening new avenues for creating high-performance amorphous materials.

Estimating things that exist is generally easy, but when it comes to estimating things that do not exist, it’s more difficult. This is something physicists from Poland and the UK are well aware of. To improve current simulations of high-energy particle collisions, they have developed a more accurate method for estimating the impact of calculations that are... not performed.

This review discusses the growing concern over organic micropollutants (OMPs) in aquatic environments and highlights the role of multi‑omics technologies in advancing their bioremediation. It outlines how integrated approaches—including metagenomics, metatranscriptomics, metaproteomics, metabolomics, and stable isotope probing—can identify key degrading microorganisms, functional enzymes, and metabolic pathways involved in OMP transformation. The authors propose a multi‑level analytical framework to systematically link microbial activity with pollutant removal processes. Overall, the synthesis demonstrates that multi‑omics integration offers a more reliable and efficient strategy for OMP remediation compared to single‑omics methods alone.