New technology that allows a University of Virginia-developed artificial pancreas system to adapt to users’ changing bodies – and lets users test changes to how the system operates – improved control of their type 1 diabetes, a study has found.

Ionic aggregates are among the most prevalent forms of matter, yet studying molecular motion within them has often been limited by the structural complexity arising from the co-existence of anionic and cationic units and the lack of real-time monitoring techniques. Researchers at The Hong Kong University of Science and Technology (HKUST) and The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) recently introduced an innovative zwitterionic strategy. They integrated cations and anions into one fluorescent organic framework, forming a zwitterionic molecule. By leveraging changes in fluorescence wavelengths and intensities, they achieved real-time monitoring of both inter- and intramolecular motion within ionic aggregates. Published in National Science Review, this finding provides a new paradigm for investigating the molecular dynamics in complex ionic aggregates.

 

Sensors are used everywhere—from smartphones and wearable devices to industrial systems and logistics. But traditional sensors often rely on rigid components and batteries, limiting their applications in soft systems. To address this, researchers from Shibaura Institute of Technology, Japan, have come up with a smarter alternative. Using the paper-folding technique in combination with a triboelectric nanogenerator, they developed a novel energy-harvesting sensor with promising potential for next-generation soft devices.

Until now, it seemed to be an immutable law that a clock twice as accurate requires at least twice as much energy. But now a team of researchers from TU Wien, Chalmers University of Technology, Sweden, and University of Malta have demonstrated that special tricks can be used to increase accuracy exponentially.

The SWIFTT project invites forest professionals, researchers, and remote sensing experts to its upcoming webinar, “Leveraging AI Models for Insect Damage Detection in European Forests,” taking place online on 11 July 2025, from 14:00 to 15:00 CEST (Paris Time). 

RCSI University of Medicine and Health Sciences has announced the appointment of Professor Garry Duffy as the university’s 30th Professor of Anatomy and Head of Department of Anatomy and Regenerative Medicine.

This study explores a weakly supervised bird counting method based on multimodal perception model that fuses optical image features and visual semantic cues. The method addresses challenges such as small target detection, complex backgrounds, and scale changes in ecological monitoring of optical remote sensing images without relying on detailed location annotations.