Results 191 to 200 of about 4,396,031 (348)

Probabilistic risk assessment of residential exposure to metal(loid)s in a mining impacted community. [PDF]

Sci Total Environ, 2023
Huerta D, Schobel T, Alexander-Ozinskas A, Hild J, Lauder J, Reynolds P, Von Behren J, Meltzer D, Ramírez-Andreotta MD.   +8 more
europepmc   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
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, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Assessment of heavy metal levels in surface water, sediment and agricultural soils around the abandoned Laga Dambi gold mine, Ethiopia. [PDF]

Sci Rep
Fereja WM, Legesse A, Kenea L, Miller G, Mergo WY.   +4 more
europepmc   +1 more source

Gold deposit type and implication for exploration in the Abiete-Toko Gold District, South Cameroon: constraint from morphology and microchemistry of alluvial gold grains. [PDF]

Heliyon, 2021
Kouankap Nono GD, Fai Bongsiysi E, Azinwi Tamfuh P, Nyangono Abolo AJ, Fomekong Kehding B, Fontem Kibong N, Suh EC.   +6 more
europepmc   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Biomass carbon emissions from nickel mining have significant implications for climate action. [PDF]

Nat Commun
Mervine EM, Valenta RK, Paterson JS, Mudd GM, Werner TT, Nursamsi I, Sonter LJ.   +6 more
europepmc   +1 more source

Technological rejection in regions of early gold innovation revealed by geospatial analysis. [PDF]

Sci Rep, 2021
Erb-Satullo NL.
europepmc   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

The Mining Industries, 1899-1939: A Study of Output, Employment, and Productivity [PDF]

Harold Barger, Sam H. Schurr
core   +9 more sources

A comprehensive historical and geolocalized database of mining activities in Canada. [PDF]

Sci Data
Dallaire-Fortier C.
europepmc   +1 more source