A U of A study maps recoverable phosphorus in U.S. soil, manure and agricultural waste and charts a path toward supply resilience before domestic reserves are exhausted.

Researchers at the FAMU-FSU College of Engineering and the Florida State University-headquartered National High Magnetic Field Laboratory have designed new quantum computing architecture that uses magnetic levitation to smooth over design flaws in the intricate bits necessary to run a quantum computer.

Cancer diagnoses directly affect treatment decisions and prognosis and can even have life-altering consequences. Traditional pathological diagnosis primarily relies on pathologists examining and analysing tissue slides under a microscope and making judgements based on their professional experience. In recent years, the application of artificial intelligence (AI) in pathology diagnosis (pathology AI) has advanced rapidly, helping to improve diagnostic efficiency and support clinical decision-making. However, many existing AI models still lack a complete and verifiable mechanism to ensure the reliability of diagnostic outcomes, limiting the application of such technology in high-stakes clinical settings.

The University of Tennessee, Knoxville, has joined the Nuclear Center for Advanced Manufacturing and Precast — known as NuCAMP — an initiative focused on advancing new manufacturing and construction methods for nuclear applications and developing vocational training to support the deployment of advanced nuclear reactors. 

JMIR Publications invites submissions to a new section on “Next-Generation Ambient Intelligence: “Invisible” Monitoring and AI Adoption for Aging-in-Place” in its open access journal JMIR Aging.

Radome materials for hypersonic vehicles must simultaneously satisfy stringent performance requirements, including low dielectric constant, low dielectric loss, high mechanical strength, and excellent high-temperature resistance. However, achieving synergistic optimization between wave-transparent performance and load-bearing capacity has long remained a central challenge in material design. Research group from Sun Yat-sen University innovatively constructed three composite systems, namely Si₃N_4f/BN, Si₃N_4f/SiO₂, and Si₃N_4f/SiO₂–BN, and systematically elucidated the cross-scale mechanism by which material composition modulates the mechanical and dielectric properties of composites through tailoring interfacial bonding and thermal mismatch stress. This work provides important theoretical guidance and experimental support for the design optimization and interfacial engineering of high-temperature wave-transparent materials for hypersonic vehicle applications.