By integrating machine-learning technology with high-resolution imaging, scientists are improving the taxonomic resolution of fossil pollen identifications and greatly enhancing the use of pollen data in ecological and evolutionary research.

A study quantified the size and age of the forests that grow naturally in degraded and abandoned areas, creating 131 benchmark maps for Brazil. The Amazon has the most restored forests and the Atlantic Rainforest biome has the oldest.

New research shows how a combination of imagery from mobile phones, drones and satellites can be used to clamp down on banana threats. The images of varying resolutions are fed into a platform 'trained' through machine learning to identify banana crops and analyze threats with 97% overall accuracy.

By examining the poop of the fringe-lipped bat (Trachops cirrhosus), a team at the Smithsonian Tropical Research Institute (STRI) encountered surprising results about its eating habits and foraging abilities.

Study by Brazilian and South African researchers is the first to prove, using a graph analysis tool, that REM dream narratives tend to be more complex and connected than reports of non-REM dreams.

An enzyme associated with energy production in cells also participates in the differentiation of immune cells involved in exacerbated inflammation. The discovery could lead to more effective treatment.

An unusual offering in an abandoned and unique-looking Maya sweat bath revealed new evidence of the role it played in the community

New research published in Nature Communications Earth & Environment uses data from two sustained open-ocean hydrographic stations (Hydrostation 'S' and the Bermuda Atlantic Time-series Study) in the North Atlantic Ocean near Bermuda to demonstrate recent changes in ocean physics and chemistry since the 1980s. The study shows decadal variability and recent acceleration of surface warming, salinification, deoxygenation, and changes in carbon dioxide (CO₂)-carbonate chemistry that drives ocean acidification.

Laboratory tests showed film containing silver-silica nanoparticles to be capable of eliminating 99.84% of SARS-CoV-2 particles after exposure for two minutes.