Researchers develop novel virtual reality approach to support stroke rehabilitation
Peer-Reviewed Publication
Updates every hour. Last Updated: 5-Nov-2025 21:11 ET (6-Nov-2025 02:11 GMT/UTC)
A research team from Sichuan University, in collaboration with Southeast University and the Hong Kong University of Science and Technology (Guangzhou), has proposed a novel dual three-phase four-level space vector pulse width modulation (DTP-FL SVPWM) strategy to improves the efficiency and precision of high-power motor drives. The proposed strategy is designed for the developed dual three-phase open-winding permanent magnet synchronous motors (DTP-OW-PMSM). This technology achieves high modulation precision and low switching frequency. On this basis, the current harmonics caused by the DC-link voltage deviations are reduced by compensating for the duty ratio.
Abstract
A team of scientists from School of Physics and Astronomy at Queen Mary University of London has developed a novel artificial intelligence method that could revolutionize our understanding of the universe's most mysterious shapes. Using advanced machine learning, researchers can now explore complex geometric spaces, like the fabric of spacetime itself, without relying on traditional symmetry assumptions.
This new algorithm, called AInstein, tackles one of the most complex puzzles in physics and mathematics: finding the precise shape of space under Einstein field equations. Remarkably, it can do so on spaces as intricate as higher-dimensional spheres, opening new avenues for discovery and shedding light on our understanding of the universe.
Evaluation of the impact of the most recent €10-million Europlanet project funded by the European Commission (EC) has been featured as a case study in the journal Nature Astronomy, published today.