Predicting the weather: New meteorology estimation method aids building efficiency
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Updates every hour. Last Updated: 7-May-2025 22:09 ET (8-May-2025 02:09 GMT/UTC)
Osaka Metropolitan University researchers propose a new method to generate meteorological data that takes into account the interdependence of meteorological factors, such as temperature, humidity, and solar radiation.
Researchers Samuel Poincloux (currently at Aoyama Gakuin University) and Kazumasa A. Takeuchi of the University of Tokyo have clarified the conditions under which large numbers of “squishy” grains, which can change their shape in response to external forces, transition from acting like a solid to acting like a liquid. Similar transitions occur in many biological processes, including the development of an embryo: cells are “squishy” biological “grains” that form solid tissues and sometimes flow to form different organs. Thus, the experimental and theoretical framework elaborated here will help separate the roles of mechanical and biochemical processes, a critical challenge in biology. The findings were published in the journal Proceedings of the National Academy of Sciences (PNAS).
A team led by the University of Oxford has solved a mystery that has intrigued scientists for centuries: how does the squirting cucumber squirt? The findings, achieved through a combination of experiments, high-speed videography, image analysis, and advanced mathematical modelling, have been published today (25 November) in The Proceedings of the National Academy of Sciences (PNAS).
Most comprehensive compendium on public funding of research in Germany/ Anniversary edition with current and long-term statistics on third-party and basic funding
MIT researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability. This could enable the leverage of reinforcement learning across a wide range of applications.