A multi‐generational compositional design creates a printable low‐loss dielectric composite that achieves over 16 W m−1 K−1. This breakthrough is enabled by thermal post‐processing, which promotes templated crystallization in a polymer matrix from surface‐modified particles, creating a “hetero‐percolated network.” The resulting material is three ...
Daniel J. Braconnier+6 more
wiley +1 more source
Dual-approach co-expression analysis framework (D-CAF) enables identification of novel circadian co-regulation from multi-omic timeseries data. [PDF]
Chuah J, Cordi CV, Hahn J, Hurley JM.
europepmc +1 more source
Using adjacency matrix to explore remarkable associations in big and small mineral data
Xiang Que+7 more
openalex +1 more source
Electric Field Driven Soft Morphing Matter
This study presents soft morphing matter robots that exhibit extremely high morphological adaptability and complex multimodal electric field response. They can undergo large, controlled body deformation and show complex locomotion on different terrains under the manipulation of external electric fields, making a significant step beyond current ...
Ciqun Xu+3 more
wiley +1 more source
mclUMI: Markov clustering of unique molecular identifiers enables dynamic removal of PCR duplicates
Sun J, Li S, Canzar S, Cribbs AP.
europepmc +1 more source
Prediction of reproductive and developmental toxicity using an attention and gate augmented graph convolutional network. [PDF]
Lee SH+9 more
europepmc +1 more source
Spatio-temporal envolutional graph neural network for traffic flow prediction in UAV-based urban traffic monitoring system. [PDF]
Ma W, Chu Z, Chen H, Li M.
europepmc +1 more source
GKNnet: an relational graph convolutional network-based method with knowledge-augmented activation layer for microbial structural variation detection. [PDF]
Guo F+6 more
europepmc +1 more source
Adaptive Graph Convolutional Adjacency Matrix Network for Video Summarization
Jing Zhang, Guangli Wu, Shanshan Song
openalex +1 more source