Current methods to predict landslides rely primarily on rainfall intensity. Now, a new model combines various water-related factors with machine learning. When applied to more than 600 landslides in California, model identified the conditions that caused 89% of the events.

A new theory-guided framework could help scientists probe the properties of new semiconductors for next-generation microelectronic devices, or discover materials that boost the performance of quantum computers.

Different technologies have been developed to help parents and caregivers address pediatric vehicular heatstroke (PVH), or scenarios where a child dies from overheating in an unattended motor vehicle. In a new study, researchers identified exemplar PVH scenarios that have occurred during recent years and studied the different technologies designed to prevent them from occurring. The study found that while certain technologies may be effective for different scenarios, no single technology is effective in preventing all the scenarios that lead to pediatric vehicular heatstroke, suggesting a combination of interventions is required to achieve the best prevention strategy.