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Updates every hour. Last Updated: 3-Nov-2026 00:15 ET (3-Nov-2026 05:15 GMT/UTC)
Chitosan-powered electrode advances low-energy uranium recovery
Maximum Academic PressA research team has developed a chitosan-modified, phytic acid-doped polyaniline (CS/PA-PANI) electrode that rapidly and selectively captures uranium from aqueous environments through capacitive deionization.
- Journal
- Sustainable Carbon Materials
Waste-derived carbon boosts aqueous zinc-ion energy storage
Maximum Academic PressA research team has developed a sustainable method for converting biomass and nitrogen-rich polyurethane (PU) waste into nitrogen-doped hierarchical porous carbon for aqueous zinc-ion hybrid capacitors (ZIHCs).
- Journal
- Sustainable Carbon Materials
Objective mobility tests may streamline fall-risk screening in older adults
Higher Education PressA comparative machine learning study of older adults shows that objective mobility tests and contextual assessment variables outperform demographic information alone for distinguishing fallers from non-fallers. When combined with basic demographic information, mobility measures provide strong screening performance with lower assessment burden than more extensive questionnaire-based approaches.
- Journal
- Healthcare and Rehabilitation
HKU Engineering develops atomically thin “analogue in-memory search” chip to redefine AI computing limits with minimalist architecture
The University of Hong KongThe explosion of artificial intelligence (AI) and the era of Big Data have exposed a critical flaw in traditional computer hardware: the slow and energy-consuming data transfer between memory and processors, commonly known as the von Neumann bottleneck. Every day, when our devices process AI queries, they must move massive amounts of data back and forth, causing severe delays and battery drain.
To address this challenge, researchers at The University of Hong Kong (HKU) have created a chip with a minimalist architecture that performs complex searches directly where the data is stored, fundamentally bypassing this bottleneck. The research team, led by Professor Can Li from the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC), has developed a novel analogue content-addressable memory (CAM) utilising two-dimensional (2D) MoS2 flash memories.
- Journal
- Nature Nanotechnology
Ethanol-assisted catalyst removes nitrogen oxides at low temperatures
Maximum Academic PressA research team has developed an ethanol-assisted method for preparing manganese oxide-modified activated-carbon (MnOₓ/AC) catalysts that remove nitrogen oxides (NOₓ) efficiently at low temperatures.
- Journal
- Sustainable Carbon Materials
HKUMed proposes targeted surveillance at two major aviation hubs to accelerate the detection of future pandemic variants
The University of Hong Kong- Journal
- Nature Communications
Iron-modified carbon nanofibers cut the energy cost of CO₂ capture
Maximum Academic PressA research team developed iron- and zirconium-modified carbon nanofibers that accelerate carbon dioxide (CO₂) release from monoethanolamine (MEA), a widely used solvent for post-combustion carbon capture.
- Journal
- Sustainable Carbon Materials
The deadly heat waves evolving coral reefs
Texas A&M University- Journal
- Evolutionary Applications
In tests of athletic performance, plant-based diets hold their own
Rutgers University- Journal
- Nutrition Journal