Researchers have created a method that uses artificial intelligence to more accurately predict short-term river discharge using historical data from two hydrometric stations on the Ottawa River along with other weather-based parameters. They built on an existing type of algorithm called group method of data handling, which constructs predictive models by sorting and combining data into groups. The models are computed in different combinations repeatedly until the best and most reliable data combination is identified.

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Surfaces play a key role in numerous chemical reactions, including catalysis and corrosion. Understanding the atomic structure of the surface of a functional material is essential for both engineers and chemists. Researchers used atomic-resolution secondary electron (SE) imaging to capture the atomic structure of the very top layer of materials to better understand the differences from its lower layers.

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Using zero liquid discharge to increase water recovery from desalination is an emerging method to combat water scarcity, but is expensive, energy-intensive and comes with environmental risks. Researchers have optimized zero liquid discharge technologies for cost, energy consumption and land use.

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New research found confined and isolating environments changed the way people smelled and responded emotionally to certain food aromas. The team in this study compared 44 people's emotional responses and perception of eight food aromas in two environmental scenarios: sitting in reclined chairs that mimic astronauts' posture in microgravity; and then in the confined setting of the International Space Station (ISS), which was simulated for participants with virtual reality goggles. The research builds on previous work by the team and aims to help explain why astronauts report meals taste different in space and struggle to eat their normal nutritional intake over long missions, which has been reported in the news recently.

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Researchers have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.

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A theoretical astrophysicist may have solved a nearly two-decade-old mystery over the origins of an unusual 'zebra' pattern seen in high-frequency radio pulses from the Crab Nebula.

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It turns out gaming is good for you! New research indicates massive multiplayer online gamers learn by gaming and their skills in the workplace are enriched by those seemingly endless hours previously thought of as frittering away time.

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