Researchers use data from citizen scientists to uncover the mysteries of a blue low-latitude aurora
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Updates every hour. Last Updated: 1-May-2025 11:08 ET (1-May-2025 15:08 GMT/UTC)
- A team of researchers from the UK and Europe used remote sensing data to describe the landscape structure of forest disturbances and assess how these differ across regions and under human influence
- The new study shows that humans leave consistent disturbance patterns on forest landscapes across the world, as captured by remote sensing data
- The study highlights that human activities are driving a homogenisation of disturbance structures worldwide, which may have profound consequences for forest ecology and functions in the future
A research group led by Associate Professor Tatsuya Kobayashi, Assistant Professor Mikiro Yoshinuma, and Professor Katsumi Ida of the National Institute for Fusion Science (Toki City, Gifu Prefecture) has achieved a high-speed measurement of plasma distribution in phase-space using a data analysis method called phase-space tomography*1. Phase-space is expressed in terms of the coordinates of the position and velocity of plasma particles. Distortion of the plasma phase-space distribution can occur in high-temperature plasmas and is believed to have a significant impact on plasma performance. The research group conducted spectroscopic measurements to analyze the light emitted from plasma using three different types of devices, and measured the distortion of the plasma phase-space distribution with high precision, using phase-space tomography. They also found that the distortion is the result of efficient plasma heating mediated by waves. Observation of plasma phase-space distribution is an important theme not only in fusion plasmas but also in plasma research on celestial bodies, the sun, and auroras, and is expected to have a ripple effect.
Evaluating the speed at which viruses spread and transmit across host populations is critical to mitigating disease outbreaks. A study published December 3rd in PLOS Biology by Simon Dellicour at the University of Brussels (ULB), Belgium, and colleagues evaluate the performance of statistics measuring how viruses move across space and time in infected populations.