From space to resilience: Breakthrough in lightning monitoring with AI and satellite images
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-May-2026 22:16 ET (3-May-2026 02:16 GMT/UTC)
The flagellar tails of bacteria rotate clockwise or counterclockwise because of active mechanical forces that pressure the individual ‘teeth’ of a gear to cooperate. This revises a decades-old model of how bacteria tails switch their rotational direction. The study, led by scientists at the Flatiron Institute, appears in Nature Physics.
Physicists from Trinity College Dublin believe new insights into the behaviour of light may offer a new means of solving one of science’s oldest challenges – how to turn heat into useful energy. Their theoretical leap forwards, which will now be tested in the lab, could influence the development of specialised devices that would ultimately increase the amount of energy we can capture from sunlight (and lamps and LEDs) and then repurpose to perform useful tasks.
Solid oxide fuel cells (SOFCs) offer a clean alternative to fossil fuel-based power generation, but their high operating temperatures hinder widespread use. In a recent study, researchers from Japan developed ultra-thin, highly ordered samarium-doped cerium oxide electrolyte films that overcome the long-standing issue of grain boundary resistance, enabling efficient operation at much lower temperatures. Their design achieved record-setting oxide-ion conductivity and paves the way for safer, more affordable SOFCs for sustainable power generation.
When the cell’s recycling stations, the lysosomes, start leaking, it can become dangerous. Toxic waste risks spreading and damaging the cell. Now, researchers at Umeå University have revealed the molecular sensors that detect tiny holes in lysosomal membranes so they can be quickly repaired – a process crucial for preventing inflammation, cell death, and diseases such as Alzheimer’s.
Existing sea surface height prediction models require excessive computing power and training times and suffer from progressive error accumulation, limiting their accuracy to 14–15 days in the future. A team of researchers recently developed a lightweight deep learning model called GTU-Net with unique loss function and physical constraints that improve the reliability of medium- and long-range sea surface height predictions to improve long-term ocean monitoring, climate studies and operational ocean forecasting.