A researcher has developed a computer model of the human brain that more realistically simulates actual patterns of brain impairment than existing methods. The novel advancement creates a digital simulation environment that could help stroke victims and patients with other brain injuries by serving as a testing ground for hypotheses about specific neurological damage. A…

An academic has achieved a milestone in statistical/mathematical physics by solving a 100-year-old physics problem — the discrete diffusion equation in finite space. The long-sought-after solution could be used to accurately predict encounter and transmission probability between individuals in a closed environment, without the need for time-consuming computer simulations. In his paper, published in Physical…

An international team of researchers has now found that computerized training can support preterm children’s academic success. In their randomized controlled study ‘Fit for School’, the researchers compared two learning apps. Every 11. baby is born too early in Germany, over 15 million globally each year. Although survival rates have increased, long-term development has not…

A research team says their new platform called ‘Transformative Electronics Systems’ will open a new class of electronics, allowing reconfigurable electronic interfaces to be optimized for a variety of applications. A team working under Professor Jae-Woong Jeong from the School of Electrical Engineering at KAIST has invented a multifunctional electronic platform that can mechanically transform…

Scientists have made a path-breaking discovery in strontium ruthenate — with potential for new applications in quantum electronics. Since the discovery of superconductivity in Sr2RuO4 in 1994, hundreds of studies have been published on this compound, which have suggested that Sr2RuO4 is a very special system with unique properties. These properties make Sr2RuO4 a material…

An innovative partnership takes aim at medicine down to the individual level by applying state-of-the-art computation to medical care. An innovative partnership at The University of Texas at Austin takes aim at medicine down to the individual level by applying state-of-the-art computation to medical care. «Medicine in its essence is decision-making under uncertainty, decisions about…

Researchers have published one of the first studies using federated learning to examine electronic health records to better predict how COVID-19 patients will progress. The researchers said the emerging technique holds promise to create more robust machine learning models that extend beyond a single health system without compromising patient privacy. These models, in turn, can…

Scientists announce the release of ActiveVision, a machine vision tool that transportation agencies can use to autonomously detect and report traffic condition changes. ActiveVision’s algorithms process camera data to provide real-time information on weather conditions and other anomalies affecting congestion. Designed for integration with intelligent transportation systems (ITS), ActiveVision can be configured with existing traffic…

Thanks to their visual simplicity, bar graphs are popular tools for representing data. But do we really understand how to read them? New research has found that bar graphs are frequently misunderstood. The study demonstrates that people who view exactly the same graph often walk away with completely different understandings of the facts it represents.…

A new study demonstrates how commercially available head mounted displays (HMD) can be used to simulate the day-to-day challenges faced by people with sight loss from glaucoma. The study suggests potential applications of the technology could include helping policymakers better assess the impact of visual impairment on patients, and helping architects to design more accessible…