In Chaos, researchers share a mathematical model created to capture the nonlinear relationships between CO2, temperature, human population, and crop growth. Increasing evidence of chaotic and complex dynamics within ecological systems led them to use both autonomous and nonautonomous models to gain a deeper understanding of seasonal variations and potential mitigation strategies, such as developing temperature-tolerant crops.

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).

A team of researchers led by the King Abdullah University of Science and Technology, or KAUST, Saudi Arabia, are this year’s winner of the Association for Computing Machinery’s Gordon Bell Prize for Climate Modelling. The team developed an exascale climate emulator with radically enhanced resolution but without the computational expense and data storage requirements of state-of-the-art climate models.

BUFFALO, NY - November 25, 2024 – A new editorial was published in Oncotarget's Volume 15 on November 12, 2024, entitled, “Visualizing radiological data bias through persistence images.”