Results 141 to 150 of about 104,609 (292)
We developed a novel domino polymerization to synthesize reductively degradable poly(disulfide)s with tunable side chains. A novel monomer bearing thiolactone and pyridyl disulfide groups reacts with various amines, enabling continuous ring‐opening and disulfide exchange.
Yukiya Kitayama +2 more
wiley +2 more sources
Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade
ABSTRACT The carbon border adjustment mechanism (CBAM), launching 2026, will charge EU importers for embedded carbon emissions, aiming to reduce emissions but raising import costs. Shifts in demand following implementation may reduce carbon emissions, but importers will bear the cost of increased prices.
Natalie Crisci +3 more
wiley +1 more source
Recent Trends in Metabolomics by NMR Spectroscopy
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco +6 more
wiley +2 more sources
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Orally administered polystyrene microplastics accumulate in murine tissues and are detected using MALDI‐MSI with TIMS. Lipid profiling reveals decreases in hexosylceramides, sphingomyelins, and ether‐linked phospholipids, indicating altered metabolism.
Karina A. Vargas +5 more
wiley +2 more sources
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
A combination of ab initio molecular dynamics simulations and density functional theory calculations clarifies the pH‐dependent origin of the selectivity of nitrate reduction on Cu(100). ABSTRACT We investigate the nitrate reduction reaction (NO3 RR) on the Cu(100) surface using grand‐canonical density functional theory (GC‐DFT) under constant ...
Ebrahim Tayyebi, Kai S. Exner
wiley +2 more sources
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Persistent Organic Pollutants in Fresh Water Ecosystems
Fu-Liu Xu +3 more
doaj +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source

