The simultaneous achievement of ultra-high quality factor (Q×f) and near-zero temperature coefficient of resonant frequency (τ_f) remains a critical challenge for microwave dielectric ceramics in 5G/6G systems. Rare-earth vanadate zircon (AVO₄) ceramics are promising for high-frequency applications owing to their intrinsically low dielectric constant, and chemical stability. This work resolves the persistent dilemma between high Q×f and thermal stability in microwave dielectric ceramics, offering a reliable design framework and laying the essential material foundation for advanced microwave components in 5G and 6G networks.

Lensless holographic microscopy replaces imaging optics with computation, but its classical Gabor principle has long been confined to thin, weakly scattering specimens. Researchers at Warsaw University of Technology have now pushed the method into the multiple-scattering regime. Near-infrared illumination preserved resolvable information through tissue-like scattering layers up to 1.4 mm, while increasing the sample-sensor distance unexpectedly doubled lateral resolution—revealing a new acquisition strategy for high-throughput, robust, amplitude-and-phase imaging in complex media.

Respiratory disease in children is a significant public health concern. Conventional assessments require in-person clinic visits and specialized equipment. Smartphones, on the other hand, could be practical for home-based screening. However, existing models trained on electronic-stethoscope data face challenges when applied to smartphone audio. In a new study, researchers developed a domain-adaptive deep learning framework that adapts information from electronic-stethoscope recordings to smartphone audio, supporting smartphone-based abnormal lung sound detection with potential for remote screening. 

Aston University researchers have contributed to an AI adoption and evaluation guidance to help legal organisations assess, implement and increase the use of artificial intelligence with more confidence and clarity.