Spatiotemporal Toxicity: Emerging Patterns of Industrial Water Pollution in the Coosa River Watershed, USA (2000-2020). [PDF]
Ali AAB, Nelson J.
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Multiscale phosphorus loss in farmland driven by precipitation: effects of farmland type. [PDF]
Shi K, Zhang H, Mei X, Liu B, Xiao Q.
europepmc +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
HEO‐regulated electronic structure drives nonradical PI activation, promoting ETP‐mediated polymerization of 4CP into high‐molecular‐weight products with enhanced surface enrichment. Concurrent dechlorination occurs via radical coupling and •OHads attack, enabling efficient carbon retention and selective product evolution at the liquid–solid interface.
Ziwei Yao +8 more
wiley +2 more sources
Riverine phosphorus gain and loss across the conterminous United States. [PDF]
Wang Y +5 more
europepmc +1 more source
Thermometric Based‐Microswimmers with Chemical and Optical Engines
Temperature sensing at small scales is typically performed using passive luminescent particles. Here, an alternative approach is demonstrated by integrating upconversion thermometry into self‐propelled microswimmers powered by chemical fuels or light. This strategy offers a step toward dynamic thermal sensing at the microscale, relevant to both lab‐on ...
João M. Gonçalves, Katherine Villa
wiley +1 more source
Environmental Identification of Novel Enzymes for Polyurethane and Polyamide Degradation
Heteroatom‐containing plastics such as polyurethanes and nylons are produced at scale yet remain largely unrecycled. Biocatalysts offer a promising route to depolymerization under mild conditions. Here, we present a screening platform for the discovery of novel polyurethane‐ and nylon‐degrading enzymes from environmental samples and demonstrate ...
Malthe Kjær Bendtsen +17 more
wiley +2 more sources
Unveiling the role of air pollution in diabetic kidney disease: an integrated study combining network toxicology, machine learning, and Mendelian randomization. [PDF]
Kang Y +10 more
europepmc +1 more source
Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler +5 more
wiley +1 more source

