Digital Gems

Digital Gems

2421 bookmarks
Custom sorting
Artificial intelligence spots coronal holes to automate space weather prediction
Artificial intelligence spots coronal holes to automate space weather prediction
Scientists from the University of Graz (Austria), Skoltech and their colleagues from the US and Germany have developed a new neural network that can reliably detect coronal holes from space-based observations. This application paves the way for more reliable space weather predictions and provides valuable information for the study of the solar activity cycle. The paper was published in the journal Astronomy & Astrophysics.
Artificial intelligence spots coronal holes to automate space weather prediction
A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data | Sociological Science
A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data | Sociological Science
Stephen Vaisey, Kevin Kiley Sociological Science March 22, 2021 10.15195/v8.a5 Abstract Recent work argues that changes in people's responses to the same question over time should be thought of as reflecting a fixed baseline subject to temporary local influences, rather than durable changes in respo...
A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data | Sociological Science