A new Stanford study uses behavioral analysis, neural engineering, electrophysiology, and math to explore how mice decide whether to eat or drink when they are both hungry and thirsty.
The study integrates climate, land use, and socioeconomic data to explain and predict malaria dynamics at the village level. The approach could inform health care practitioners and make control strategies more efficient and cost-effective.
Scientists observed close to 1,000 fin whales foraging near Antarctica, while fishing vessels trawled for krill in their midst. Without action, such encounters are likely to become more common as this endangered species recovers and krill harvesting intensifies in the Southern Ocean.
In a new study, Stanford University researchers examined how being able to completely transform one’s appearance and digital environment significantly impacts social interactions in the metaverse.
Analysis of ocean plastic pollution and whale foraging behavior tracked with noninvasive tags shows whales are ingesting tiny specks of plastic in far bigger quantities than previously thought, and nearly all of it comes from the animals they eat – not the water they gulp.
Most government policies for mitigating public health risks from wildfire smoke aim to educate citizens to protect themselves by staying indoors, closing windows, and using air filters. Stanford research shows why that approach fails for Americans across all income groups and points to solutions.
A new modeling approach combines machine learning and human insights to map the regions and ports most at risk for illicit practices, like forced labor or illegal catch, and identifies opportunities for mitigating such risks.
Interviews with Northern California residents reveal that social norms and social support are essential for understanding protective health behaviors during wildfire smoke events – information that could be leveraged to improve public health outcomes.
