UT San Antonio study finds word choice is linked to depression and anxiety symptoms in 911 dispatchers
Reports and Proceedings
Updates every hour. Last Updated: 29-Oct-2026 15:17 ET (29-Oct-2026 19:17 GMT/UTC)
Emergency call takers and dispatchers serve as the invisible frontline of public safety, navigating life-or-death crises over phone lines and radios without ever seeing the outcomes of their efforts. Now, a new study from UT San Antonio reveals that the specific words these workers use to describe their most stressful calls can provide early, hidden warning signs of depression and anxiety.
When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI can reliably solve, no matter how much data it’s given.
Researchers from Delft University of Technology (The Netherlands) have made a European energy system model, making two technologies to compete with each other: future unidirectional smart charging (V1G) and Vehicle-to-Grid charging (V2G) to determine which mode is most economically advantageous in EU countries in a 2050 energy system. For the first time, the model treats the diffusion of V1G and V2G infrastructure as a decision to be optimized, explicitly accounting for its costs. ‘The model shows that a uniform benchmark for the EU is not preferable. The cost-optimal level of charging infrastructure varies by country, since it depends on each national energy system’, says lead researcher Francesco Sanvito. The results are published today in Nature Energy.
Los Angeles, CA, July 14, 2026. More than 100,000 people in the United States are waiting for a lifesaving organ transplant. For patients in need of a liver transplant, determining whether a donor liver is healthy enough to transplant is a critical part of the process.
Future quantum computing will require correlations between distant modules—a feature known as distributed entanglement. Traditionally, such entanglement has relied on active control and repeated measurements. Now, physicists at the Institute of Science and Technology Austria (ISTA) have realized a fully autonomous method for distributed entanglement using a “quantum bath” of correlated light particles. Published on Monday in Physical Review X, their work experimentally confirms a 20‑year‑old prediction and could provide a new platform for applied quantum technologies.