Distribution of Aquatic Vertebrates in the Winter Dry Season Informing Water Resource Management in a Large Floodplain Lake. [PDF]
Wang H +6 more
europepmc +1 more source
Value of Information of Improved Traceability in Fresh Produce Markets
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris +2 more
wiley +1 more source
Nonlinear response mechanisms of microbial communities to coral reef biogeomorphy in the South China Sea. [PDF]
Long S +8 more
europepmc +1 more source
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin +2 more
wiley +1 more source
Inferring the causes of noise from binary outcomes: A normative theory of learning under uncertainty. [PDF]
Fang X, Piray P.
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
FuzzyEn Compared to SampEn for Evaluation of Dynamic Complexity. [PDF]
Liu X, Su M, Yao W, Dong Y.
europepmc +1 more source
Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade +4 more
wiley +1 more source
Same geometry, different dynamics: what uncontrolled manifold (UCM) analysis misses about motor control. [PDF]
Mangalam M, Stergiou N.
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

