Thermogravimetric analysis of the pyrolysis and combustion kinetics of surface dead combustibles in the Daxing'an Mountains. [PDF]
Shu Y +5 more
europepmc +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Engagement of Indigenous peoples in commercial tobacco reform strategies: a scoping review protocol. [PDF]
Perusco AD +11 more
europepmc +1 more source
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source
Cigarette Smoking Relapse Among People Who Switched to E-cigarettes or Other Tobacco Products. [PDF]
Sun R, Mendez D, Warner KE.
europepmc +1 more source
Hazardous air pollutant emissions estimates from wildfires in the wildland urban interface. [PDF]
Holder AL, Ahmed A, Vukovich JM, Rao V.
europepmc +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Thermal characteristics of fire extinguishing agents in compartment fire suppression. [PDF]
Kim TS +6 more
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
Dataset for the assessment of NO<sub>x</sub> emissions from the combustion of various nitrogen-rich agricultural residues. [PDF]
Sobotková J +6 more
europepmc +1 more source

