The new test can detect even a low concentration of the virus in about two minutes and may also detect identify pathogens as yet unknown.

An AI system capable of pinpointing a device’s location in dense urban areas without relying on GPS has been developed by researchers at the University of Surrey. Narrowing down localisation errors from 734 metres to within 22 metres, the innovation could be a significant step forward for technologies such as self-driving cars and aid delivery vehicles. 

A novel material is shown to be one of the most efficient photocatalysts for solar-driven production of hydrogen peroxide.

Study of more than 3.8 million women in California finds that women who were biracial or multiracial were at greater risk of being diagnosed with bipolar disorder compared with those who were single race. The sample included women who had singleton live births from 2011-2019.

Globally, rapidly aging populations give rise to increasing demand for home care services. The World Health Organisation estimates that approximately 1.3 billion people worldwide require care due to ageing or disability. In Hong Kong, owing to deeply rooted cultural norms that emphasise family bonding and rising healthcare costs, caregiving is often performed by family members, imposing heavy physical and mental strain on them. A research team at The Hong Kong Polytechnic University (PolyU) has investigated the quality of life (QoL) of the City’s family caregivers and explored the use of data-driven assessment tools to support the development of effectively targeted interventions.

In the study, titled “Mitigating the Negative Effects of Internet Browsing on Young People’s Resilience and Outlook on Life Through Classic Grimm Fairy Tales: Exploratory Randomized Controlled Study,” researchers examined how internet browsing affects resilience and optimism in postgraduate students.

Shock wave/boundary layer interaction (SWBLI) has long been a challenge in compressible flow simulations due to its complex multi-scale and non-equilibrium characteristics. Particularly, the simulation of multi-scale SWBLI under near-space conditions poses significant challenges to traditional continuum models such as the Navier–Stokes (NS) equations. To address this, researchers employed a mesoscopic Discrete Boltzmann Method (DBM) to investigate the discrete effects and non-equilibrium behaviors in SWBLI which are beyond the NS description. Given that different interfaces such as temperature and density will provide different characteristic scales, correspondingly, will provide local Knudsen (Kn) numbers of different perspectives. From one perspective, the Kn number is increasing, but from another perspective, it may be decreasing. Therefore, the early understanding based on the definition of the Kn number from a single perspective was one-sided or even wrong. Therefore, researchers proposed the concept of the local Kn number vector: each component of it is a Kn number from one perspective. Based on the developed DBM theory and method, they discovered a series of kinetic features and new mechanisms in rarefied laminar SWBLI.

By focusing on adaptive aerodynamics, the ice-tolerance concept with variable drooping leading edge technology could revolutionize how planes handle icing skies. An ice tolerance solution based on the variable camber leading edge of iced wings is proposed, where the leading edge adapts its camber to counter ice effects. Compared with traditional aerodynamic design for ice tolerance, this concept not only strikes a balance between safety and functionality, but also boosts efficiency even under severe icing conditions.