A study published in the journal Nature Climate Change by an international team of scientists, from the IBS Center for Climate Physics (ICCP) at Pusan National University in South Korea, presents new evidence that ocean turbulence and a process known as “horizontal stirring” will increase dramatically in the Arctic and Southern Oceans due to human-induced Global Warming and decreasing sea ice coverage.

A new deep learning framework can accurately classify four molecular subgroups of medulloblastoma and predict critical genetic risk factors using magnetic resonance imaging, according to a study by researchers from China. The artificial intelligence model achieved a median accuracy of 77.5% for subgroup classification and up to 91.3% for predicting high-risk genetic alterations. This approach could help clinicians stratify risk and tailor therapies without invasive testing.

A study by researchers from the UK, Ghana and the USA - and led by the University of Plymouth (UK) used thermal imaging technology and other sensors to measure the leaf temperatures found at CO₂ levels forecast to occur in 2050. It found that temperatures within the forest canopies rose by around 1.3°C as a direct consequence of increases in CO₂ – from an average of 21.5°C under current conditions to 22.8°C at the predicted 2050 CO₂ levels. They believe that as well as having a direct impact on leaf pore structure, it could impact trees’ ability to transmit water back into the environment, which would have a knock-on effect on the water cycle globally.

Computer-controlled sub-aperture polishing technology is crucial for achieving high-precision optical components. However, this convolution material removal method introduces a significant number of mid-spatial frequency(MSF) errors. To address this issue, scientist in China propose a novel controllable spiral magnetorheological finishing method that disrupts the mechanism of conventional constant tool influence function (TIF) convolution material removal to control convolution MSF error . This variable convolution kernel(TIF) sub-aperture polishing method provides a new idea for full-band error cooperative control.

The research team led by Professor Daping He at Wuhan University of Technology reported a method for actively controlling the shielding efficiency of microwaves based on a micrometer-thick graphene metasurface. The continuous modulation between wave transmission and shielding in an ultra-wide range of 9.66%–99.78% is achieved, due to the remarkable anisotropy of wave-induced electron oscillation. The metasurface achieves facile preparation and open-air processability utilizing laser-induced ultrafast kinetics, facilitating its application in advanced smart electromagnetic devices. Additionally, the metasurface demonstrates potential in a novel paradigm for data electromagnetic encryption.