The article utilizes the friction electromagnetic induction coupling mechanism to design a single fiber based Fibre-WBAN it converts the mechanical energy generated by the human body movement into electrical signals and uses the fiber coils to convert the low-frequency time-domain signals into high-frequency frequency-domain signals (40 MHz) for wireless data transmission.

Researchers from the University of Science and Technology of China and the Dalian Institute of Chemical Physics innovatively introduced the Frontier Molecular Orbital (FMO) theory into the design of heterogeneous SACs. They achieved the first successful application of the FMO theory in heterogeneous catalysis and obtained a highly active and stable SAC for hydrogenation reactions.

In the quest to design the next generation of materials for modern devices – ones that are lightweight, flexible and excellent at dissipating heat – a team of researchers led by the University of Massachusetts Amherst made a discovery: imperfection has its upsides.

Lipid bilayers in mammalian membranes can have a more asymmetric composition than previously thought, new research shows. This lipid abundance asymmetry is enabled by the unique properties of cholesterol and endows biomembranes with specific properties and physiological roles.

Scientists from Heriot-Watt University have secured new funding to investigate the thermodynamic behaviour of typical carbon capture, utilisation, and storage (CCUS) fluids. This research is critical for the safe and efficient processing, transportation, and storage of these fluids. Jointly funded by TotalEnergies and Equinor, the new research project builds on Heriot-Watt University’s long-standing expertise in CCUS research. 

The two-year project aims to improve thermodynamic models to predict the phase behaviour of CO2 rich mixtures, specifically focusing on volatile organic compounds (VOCs) as the impurities.  The project outcomes will be pivotal in establishing optimum operational conditions throughout the CCUS chain as well as environmental compliance and proper CO2 storage. 

Researchers from chemistry, biology, and medicine are increasingly turning to AI models to develop new hypotheses. However, it is often unclear on which basis the algorithms come to their conclusions and to what extent they can be generalized. A publication by the University of Bonn now warns of misunderstandings in handling artificial intelligence. At the same time, it highlights the conditions under which researchers can most likely have confidence in the models. The study has now been published in the journal Cell Reports Physical Science.