CU Boulder ranks among world's top institutions for climate science research - University of Colorado Boulder

Editor's note, Oct. 6: This event is sold out, and the waitlist is completely full. Those interested in attending are encouraged to check back regularly to see if spots open up. What happens when one of the country’s best-known science educators sits down with a leadership scholar to ask how we solve problems too big for any one person—or discipline—to handle? Bill Nye will take on that question at CU Boulder on Wednesday, Nov. 4, in a conversation with Stefanie Johnson, director of CU Boulder’s Center for Leadership, professor in the Leeds School of Business and bestselling author of “Inclusify.”The event, part of the Leo Hill Leadership Speaker Series presented by the Center for Leadership, begins at 7:30 p.m. in Macky Auditorium. It is open to students, faculty, staff and the public. Nye and Johnson will explore the connections between leadership and scientific discovery, from advancing research and encouraging innovation to confronting climate change, sustainability and the future of science education. They will consider what it takes to make sound decisions when the problems are complicated, the stakes are high and the answers are not always obvious.

We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply. AbstractExtreme precipitation events increasingly threaten historic buildings in river basins, yet existing studies lack a basin-scale perspective on nonlinear flood risk mechanisms. Taking the Minjiang River Basin as the study area, this research integrates hydrological simulation (SCS-CN), machine learning (XGBoost-SHAP), and spatial autocorrelation analysis to assess flood risk for 5482 historic buildings. Results reveal three key patterns: flood hazard decreases from downstream to upstream with belt-like aggregation along rivers; vulnerability shows a spatial mismatch, being higher upstream and lower downstream; integrated risk exhibits a southeast-high to northwest-low gradient with strong clustering in estuarine and midstream valleys. Key drivers, including impervious surfaces, vegetation cover, and topography, demonstrate significant nonlinear threshold effects and multi-factor coupling.

Discover the cosmos! Each day a different image or photograph of our fascinating universe is featured, along with a brief explanation written by a professional astronomer. X-ray: NASA/CXC/INAF-IRA/A. Botteon et al.; Infrared: UKIDSS-GPS; Radio: ASTRONLOFAR; Image processing: NASA/CXC/SAO/N. Wolk

A Johns Hopkins University scientist whose award-winning work suggests that a brief stomach bug could raise the risk of colon cancer has moved to China full time. Wan Fengyi, a professor at the Johns Hopkins Bloomberg School of Public Health, has joined Zhejiang University in Hangzhou, according to his new profile on the Chinese university’s website. Wan returned to China this month and now holds a chair professorship at Zhejiang University. He is based at a national laboratory at its Second...

We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply. AbstractMultiplexed sensor arrays expand biomedical interfaces by allowing independently recoverable sensing sources to share limited transmission, addressing, readout, acquisition, and computational resources. This Review compares time-, frequency-, spatial-, optical-, code-, and hybrid-multiplexing through a requirement–resource framework. We examine how signal integrity, front-end electronics, calibration, materials, mechanics, power, and data handling constrain source-specific recovery and outline architecture-selection principles for reliable physiological sensing and bidirectional biointerfaces.