Results 101 to 110 of about 3,546,572 (261)
Advanced Energy Materials, EarlyView.The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho +5 more
wiley +1 more source
, 2018 Correlation between fine particulate matter concentrations and RNA expression levels of DNMT-1 α and SAMe.
Yasaman Aghababei (5488409) +13 more
core +1 more source
Advanced Energy Materials, EarlyView.Replacing toxic NiOx with phenyl‐substituted phosphonic‐acid carbazole monolayers (Ph‐5PACz) yields inverted perovskite solar cells that are efficient and recyclable. The nickel‐free interface reaches 25.3% efficiency and enables closed‐loop ITO recovery with near‐98% performance retention, while life‐cycle and techno‐economic analyses confirm lower ...
Yanxue Wang +17 more
wiley +1 more source
Source identification and quantification of particulate matter emitted from livestock houses [PDF]
, 2010 There is need to identify and quantify the contribution of different sources to airborne particulate matter (PM) emissions from animal houses. To this end, we compared the chemical and morphological characteristics of fine and coarse PM from known ...
Lai, T.L.H. +5 more
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.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
Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter
Advanced Intelligent Discovery, EarlyView.We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon +3 more
wiley +1 more source
Construction Trade Work Is Associated With Accelerated Decline in Kidney Function
American Journal of Industrial Medicine, EarlyView.ABSTRACT Background Construction workers are exposed to airborne particulates, organic solvents, and metals—agents linked to elevated risk of chronic kidney disease (CKD). Few studies have evaluated whether construction trade work is associated with longitudinal changes in estimated glomerular filtration rate (eGFR), a key indicator of kidney function.
Sammy Almashat +5 more
wiley +1 more source
, 2019 <p>Supporting data files for the paper titled "Effect of meteorological variability on fine particulate matter simulations over the contiguous United States" submitted to JGR-Atmosphere for publication.</p ...
Lee, Jared (6500462) +7 more
core +1 more source
Kidney damage induced by sub-chronic fine particulate matter exposure
Environment International, 2018 According to the WHO, about 3 million people die each year due to ambient air pollution. Most of the in vivo studies on the PM2.5 effects have been done on respiratory and cardiovascular tissues.
Iván Tavera Busso +4 more
doaj +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Hybrid nanofluids have emerged as next‐generation working fluids for advanced engineering application due to their superior heat transport capability in relation to the conventional nanofluids. Motivated by the rising demand for accurate prediction of transport phenomena under realistic operating situations, the present study examines the ...
B. Prabhakar Reddy +3 more
wiley +1 more source