Economic complexity methods analyze global networks to generate rankings according to complexity. A new study resolves the uncertainty surrounding these calculations, showing that they lead to a single stable result, with implications for policy-making and analysis of complex networks
Andrii Mironchenko's work focuses on infinite-dimensional systems, which can model optimized traffic-control systems and intelligent power networks. He develops methods to ensure robustness of control mechanisms against undesired effects from disturbances.
A team of UBC Okanagan students developed an adaptive model that can automatically detect subtle shifts in complex images, improving accuracy for doctors and scientists. The technology, called MEBS, uses advanced mathematics to pick out important details, helping to spot illnesses sooner and track wildfires more effectively.
A new study from the Complexity Science Hub reveals that innovation can only endure over time if it is balanced with exnovation - the loss or forgetting of older possibilities. The researchers found an interesting trade-off between innovation speed and system stability.
Sky-Watcher EQ6-R Pro Equatorial Mount
Sky-Watcher EQ6-R Pro Equatorial Mount provides precise tracking capacity for deep-sky imaging rigs during long astrophotography sessions.
The study found that daily homework assignments were most effective for improving mathematics achievement, while science performance benefitted from homework assigned three to four times a week. Short-duration homework tasks lasting up to 15 minutes were shown to be just as effective as longer assignments.
Researchers found animal-dispersed plant species' ability to adapt to climate change reduced by 60% due to bird and mammal losses. Global seed dispersal mapping revealed severe declines in temperate regions, with tropical areas at high risk if endangered species go extinct.