Climate, pollution, agriculture, food systems and natural resources.
Professor Asim Zia's team applied machine learning to long-running US survey data and found most Americans are lukewarm, confused about climate risk and ambivalent about climate policy.
Professor Shlomo Nir and colleagues modelled how filters combining adsorption with bacterial or enzyme breakdown remove pollutants such as medicine residues from water, with experiments supporting the model.
Mohammed Al Rayaan's satellite and mapping analysis found that most of the Hail region in Saudi Arabia has moderate to high groundwater potential, and pinpointed areas where groundwater is recharged.
Dr David Hunter's review sets out best practice for managing locusts and grasshoppers, combining accurate outbreak forecasting, aerial searches and early targeted treatments that use less chemical pesticide.
Dr. Rachael McDonnell's team built a composite drought indicator that combines satellite data and models into monthly drought updates, now used in national drought plans in Jordan, Lebanon, Morocco and Tunisia.
Professor Zhendan Shi's team found that turning duck eggs through wider angles early in incubation and narrower ones later raised hatch rates and produced heavier, stronger ducklings.
Professor Milenko Roš's team showed in a pilot plant that ceramic membrane filtration followed by ozone treatment removed microfibers and remaining bacteria from treated wastewater, producing water suitable for reuse.
Professor Hong Wang's team used radiocarbon dates and modelling to show the Laurentide Ice Sheet advanced and retreated during the last glacial maximum as summers warmed and westerly winds shifted.
Professor Derek Lemoine and Dr. Sarah Kapnick found that financial markets respond to seasonal climate forecasts such as El Niño outlooks, showing that traders place real value on better predictions.
A systematic review led by Emmanuel Kekle Ahialey finds that climate change and shifts in land use and land cover together threaten the steady river flows that hydropower depends on.
Professor Abu Md Mehdi Hassan's team found that municipal solid waste from Chattogram is rich in carbon and hydrogen with low sulfur, but needs drying and sorting before energy use.
Professor José Lopes's model of the Ria de Aveiro lagoon shows that exchanges between sediment and water strongly shape nitrogen and phosphorus levels, with river flow and temperature driving most change.
