Solar storms that fling magnetism across the solar system can knock out satellites, power grids, communication and navigation systems, and endanger astronauts in space. Scientists can observe these phenomena, called coronal ...
When I tell people I study parasites that live inside ticks, I usually get one of two reactions: a shudder of disgust or a puzzled look that says, "Don't ticks already carry enough diseases?"
Researchers from the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have discovered that the size of catalytic nanoparticles determines how their shape and structure transform during chemical reactions. ...
Ever wondered how a delicate plant root can push its way through hard ground? It's a feat of engineering happening beneath our feet.
NASA's SpaceX Crew-10 mission with agency astronauts Anne McClain and Nichole Ayers, JAXA (Japan Aerospace Exploration Agency) astronaut Takuya Onishi, and Roscosmos cosmonaut Kirill Peskov is preparing to return to Earth ...
Scientists at the Department of Energy's Oak Ridge National Laboratory conducted a meticulous analysis of the compounds released by plant roots into their surrounding environment. The analysis yielded an abundance of data ...
EPFL researchers have developed a new imaging method using a single-photon camera that can characterize thousands of molecules quickly and simultaneously. The research is published in the journal Light: Science & Applications.
As preparations to launch Europe's first MetOp Second Generation, MetOp-SG-A1, satellite continue on track, the team at Europe's Spaceport in Kourou, French Guiana, has bid a heartfelt farewell to this precious satellite ...
In nature, the concept of chirality or "handedness" is fundamental to life itself, just as our left and right hands are mirror images that cannot be overlapped perfectly. Molecular handedness is crucial in biological systems—the ...
A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science Frontiers) has developed a machine learning model that enables early prediction of hypothalamus–pituitary ...
