Predicting microbial antibiotic resistance with AI
Scientists used machine learning models to predict the prevalence of antibiotic resistance genes in agricultural soil under future climate…
The Encyclopedia of Science's Frontier
Scientists used machine learning models to predict the prevalence of antibiotic resistance genes in agricultural soil under future climate…
Scientists analyzed the composition of mineral cements on a beach in Derwent Howe and found that furnace waste had rapidly solidified the…
Researchers identified trends in extreme cold events that can push migratory animals, such as bull sharks, beyond their thermal tolerance…
Scientists observed a glacier collapse in Greenland and proposed a new model of how ice sheets melt. Their model describes water as both…
Researchers demonstrated that the first microbes to colonize recently deglaciated soil can extract nutrients from air and rock to survive…
Researchers found elevated metal concentrations in surface waters and groundwater downstream of lithium-containing hard rock processing…
Researchers in China developed a rapid, solar-driven process that transforms waste polystyrene and excess sulfur into chemicals used in…
Researchers found that the 2023 El Niño event was fueled primarily by heat stored in the ocean rather than in Pacific winds.
Scientists found that ants under heat stress were less active, which left their host acacia plants vulnerable to herbivores and other…
Researchers tested plant-based soil remediation methods and found that adding beneficial microbes to copper-contaminated soil improved…