A zigzag design can maximise how much heat walls radiate into space, while minimising heat absorption from the ground.
ROCHESTER, Minn. — Mayo Clinic scientists are using artificial intelligence (AI) and machine learning to analyze electroencephalogram (EEG) tests more quickly and precisely, enabling neurologists to find early signs of dementia among data that typically go unexamined.
The century-old EEG, during which a dozen or more electrodes are stuck to the scalp to monitor brain activity, is often used to detect epilepsy. Its results are interpreted by neurologists and other experts trained to spot patterns among the test’s squiggly waves.
In new research published in Brain Communications, scientists at the Mayo Clinic Neurology AI Program (NAIP) demonstrate how AI can not only speed up analysis, but also alert experts reviewing the test results to abnormal patterns too subtle for humans to detect. The technology shows the potential to one day help doctors distinguish among causes of cognitive problems, such as Alzheimer’s disease and Lewy body dementia. The research suggests that EEGs, which are more widely available, less expensive and less invasive than other tests to capture brain health, could be a more accessible tool to help doctors catch cognitive issues in patients early.
A multi-institutional team of environmental scientists has built a computer simulation showing that more than half of all people globally have limited access to safe drinking water. The findings are published in the journal Science.
The widespread adoption of electric vehicles greatly relies on the development of robust and fast-charging battery technologies that can support their continuous operation for long periods of time. One proposed energy storage solution to improve the endurance of electric vehicles entails the use of so-called structural batteries.
Structural batteries are batteries that can serve two purposes, acting both as structural components of vehicles and energy storage solutions. Instead of being external components that are added to an electronic or electric device, these batteries are thus directly embedded into the structure.
Researchers at Shanghai University and their collaborators recently devised a promising strategy to fabricate highly performing structural batteries with customizable geometric configurations. Their strategy, outlined in a paper published in Composites Science and Technology, enables the 3D-printing of structural lithium-ion batteries for different geometrical configurations.
Two University of Alaska Fairbanks scientists have discovered a new type of “whistler,” an electromagnetic wave that carries a substantial amount of lightning energy to the Earth’s magnetosphere.
James Tour’s lab at Rice University has developed a new method known as flash-within-flash Joule heating (FWF) that could transform the synthesis of high-quality solid-state materials, offering a cleaner, faster and more sustainable manufacturing process. The findings were published in Nature Chemistry on Aug. 8.
Lithium-metal batteries could exhibit significantly higher energy densities than lithium-ion batteries, which are the primary battery technology on the market today. Yet lithium-metal cells also typically have significant limitations, the most notable of which is a short lifespan.
Researchers at University of Science and Technology of China and other institutes recently introduced a new electrolyte design that could be used to develop highly performing lithium-metal pouch cells with longer lifespans. This electrolyte, presented in a paper in Nature Energy, has a unique nanometer-scale solvation structure, with pairs of ions densely packed together into compact ion-pair aggregates (CIPA).
“The primary objectives of our recent work are to markedly accelerate the practical applications of lithium-metal batteries and offer deep mechanistic understandings of this complicated system,” Prof. Shuhong Jiao, co-author of the paper, told Tech Xplore.
Cities around the globe are experiencing increased flooding due to the compounding effects of stronger storms in a warming climate and urban growth. New research from the University of California, Irvine suggests that urban form, specifically the building density and street network of a neighborhood, is also affecting the intensity of flooding.
For a paper published today in Nature Communications, researchers in UC Irvine’s Department of Civil and Environmental Engineering turned to statistical mechanics to generate a new formula allowing urban planners to more easily assess flood risks presented by land development changes.
Co-author Mohammad Javad Abdolhosseini Qomi, UC Irvine associate professor of civil and environmental engineering who holds a joint appointment in UC Irvine’s Department of Materials Science and Engineering, said that he and his colleagues were inspired by how physicists study intricate systems such as disordered porous solids, glasses and complex fluids to develop universal theories that can explain city-to-city variations in flood hazards.
For the decades since their discovery, seismic signals known as PKP precursors have challenged scientists. Regions of Earth’s lower mantle scatter incoming seismic waves, which return to the surface as PKP waves at differing speeds.
Peel apart a smartphone, fitness tracker or virtual reality headset, and inside you’ll find a tiny motion sensor tracking its position and movement. Bigger, more expensive versions of the same technology, about the size of a grapefruit and a thousand times more accurate, help navigate ships, airplanes and other vehicles with GPS assistance.
Now, scientists are attempting to make a motion sensor so precise it could minimize the nation’s reliance on global positioning satellites. Until recently, such a sensor — a thousand times more sensitive than today’s navigation-grade devices — would have filled a moving truck. But advancements are dramatically shrinking the size and cost of this technology.
For the first time, researchers from Sandia National Laboratories have used silicon photonic microchip components to perform a quantum sensing technique called atom interferometry, an ultra-precise way of measuring acceleration. It is the latest milestone toward developing a kind of quantum compass for navigation when GPS signals are unavailable.