Detection of dynamic substrate binding using MRI
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-10545-1
Abstract: Magnetic Resonance Imaging (MRI) is rarely used for molecular binding studies and never without synthetic metallic labels. We designed an MRI approach that can specifically detect the binding of natural substrates (i.e. no chemical labels).… read more here.
Keywords: substrate binding; detection; detection dynamic; binding using ... See more keywords
1H detection and dynamic nuclear polarization–enhanced NMR of Aβ1-42 fibrils
Sign Up to like & getrecommendations! Published in 2021 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2114413119
Abstract: Significance Amyloid-β (Aβ) is the subject of intense scrutiny because of its close association with Alzheimer’s disease (AD), which currently afflicts about 50 million people worldwide. The results reported in this manuscript focus on the… read more here.
Keywords: nuclear polarization; detection; dynamic nuclear; mas nmr ... See more keywords
Motif-Level Anomaly Detection in Dynamic Graphs
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3272731
Abstract: As many real-world networks evolve over time, such as social networks, user-item networks, and IP-IP networks, anomaly detection for dynamic graphs has attracted growing attention. Most existing studies focus on detecting anomalous nodes or edges… read more here.
Keywords: detection dynamic; dynamic graphs; anomaly detection; motif level ... See more keywords
Community Detection in Dynamic Networks: Exact Recovery Under Two Link Evolution Models
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2024.3520130
Abstract: This paper studies edge persistence and memory in time-varying (dynamic) networks, and their effect on community detection. In particular, we focus on two models representing network memory, using which we study the asymptotic behavior of… read more here.
Keywords: dynamic networks; recovery; community detection; network ... See more keywords
Regression‐Based Landmark Detection on Dynamic Human Models
Sign Up to like & getrecommendations! Published in 2017 at "Computer Graphics Forum"
DOI: 10.1111/cgf.13273
Abstract: Detecting anatomical landmarks on various human models with dynamic poses remains an important and challenging problem in computer graphics research. We present a novel framework that consists of two‐level regressors for finding correlations between human… read more here.
Keywords: landmark detection; regression; detection dynamic; human models ... See more keywords