Results 51 to 60 of about 13,926 (236)
Rank-GCN for Robust Action Recognition
We present a robust skeleton-based action recognition method with graph convolutional network (GCN) that uses the new adjacency matrix, called Rank-GCN. In Rank-GCN, the biggest change from previous approaches is how the adjacency matrix is generated to accumulate features from neighboring nodes by re-defining “adjacency.” The new ...
Haetsal Lee +3 more
openaire +2 more sources
Atomically correlated phosphorus–sulphur sites are introduced into graphitic carbon nitride to regulate charge distribution, suppress localized trapping, and enhance oxygen activation. The resulting metal‐free photocatalyst selectively promotes the two‐electron oxygen reduction pathway, enabling efficient hydrogen peroxide production in pure water ...
Adnan Ahmad +12 more
wiley +1 more source
This review explores emerging 2D materials beyond graphene, including graphdiyne, phosphorene, borophene, siloxene, MBene, antimonene, and germanene for Li/Na–S batteries. It analyzes their roles as sulfur hosts, metallic anode protectors, separators, and electrolyte fillers, emphasizing polysulfide suppression, dendrite inhibition, and interfacial ...
Naveen Kumar T. R +7 more
wiley +1 more source
The translational regulators GCN-1 and ABCF-3 act together to promote apoptosis in C. elegans. [PDF]
The proper regulation of apoptosis requires precise spatial and temporal control of gene expression. While the transcriptional and translational activation of pro-apoptotic genes is known to be crucial to triggering apoptosis, how different mechanisms ...
Takashi Hirose, H Robert Horvitz
doaj +1 more source
Herein, a Barium tungstate (BaWO4) and Graphitic carbon nitride (GCN) based a new electrochemical sensor (BaWO4/GCN/GCE), for the detection of diphenylamine (DPA).
Naveen Karuppusamy +7 more
doaj +1 more source
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Este trabalho apresenta um mapeamento do uso e cobertura da terra da Ilha de Santa Catarina com base em aerofotografias de alta resolução espacial e na vetorização da Restituição Aerofotogramétrica do Instituto de Planejamento Urbano de Florianópolis ...
Jasiel Neves +3 more
doaj +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Intelligent AML systems: using deep learning to detect financial fraud
Financial fraud involving drop accounts is a major challenge for banking institutions and anti-money laundering (AML) systems. Fraudsters exploit weaknesses in transaction monitoring, making illicit fund transfers difficult to detect. Traditional methods
Pavlova Olga +3 more
doaj +1 more source

