Wearable acoustic sensors provide an effective communication solution for individuals with speech disorders by calibrating vocal cord vibrations and converting them into synthesized speech. In this study, published in the journal *ACS Sens*, researchers from The Hong Kong Polytechnic University, led by Zhongqing SU, and Professor Limin Zhou from the Southern University of Science and Technology, developed a novel piezoresistive acoustic sensor for speech recognition.

Linearity is the core measurement capability of flexible sensing technology. Insufficient linearity not only increases the complexity of system calibration and data decoupling but also directly impacts the physical comparability of signals and measurement traceability.

In infrastructure construction such as highways and railways, compaction is a critical factor determining the durability of projects. Traditional roller operations rely on operator experience, often leading to insufficient or excessive compaction, which poses safety risks to the project.

This technology enables wearable devices to achieve precise gesture recognition and robotic arm control in complex environments such as intense exercise and underwater environments, opening new doors for fields such as virtual reality, rehabilitation medicine, and industrial rescue.

This technology enables wearable devices to achieve precise gesture recognition and robotic arm control in complex environments such as intense physical exercise and underwater conditions, opening new doors for fields like virtual reality, rehabilitation medicine, and industrial rescue.

Assistant Professor Du Bowen from the School of Physics and Optoelectronic Engineering at Shenzhen University published a research paper titled "Ultrasensitive optoelectronic biosensor arrays based on twisted bilayer graphene superlattice" in the top-tier comprehensive journal *National Science Review* (IF=17). The study introduces a novel ultrasensitive optoelectronic biosensor that leverages the superlattice properties of twisted bilayer graphene (tBLG) and plasmonic resonance effects to achieve amplification-free detection of biomolecules at the attomolar level.