Transfer of spin to orbital angular momentum in the Bethe-Heitler process

S Lei, S Liu, W Wang, Z Bu, B Shen, L Ji - Physical Review D, 2023 - APS
According to the conservation of angular momentum, when a plane-wave polarized photon
splits into a pair of electron-positron under the influence of the Coulomb field, the spin …

GWLS: a novel model for predicting cognitive function scores in patients with end-stage renal disease

Y Zhang, Z Xi, J Zheng, H Shi, Z Jiao - Frontiers in Aging …, 2022 - frontiersin.org
The scores of the cognitive function of patients with end-stage renal disease (ESRD) are
highly subjective, which tend to affect the results of clinical diagnosis. To overcome this …

Convergence analysis of distributed population dynamics based on second-order Delaunay triangulation

Z Song, H Guo, D Yu, Z Wang - Information Sciences, 2022 - Elsevier
This article proposes a second-order communication network generation method based on
Delaunay triangulation for a large-scale population. Given the complexity of communication …

Community hiding: Completely escape from community detection

Z Chang, J Liang, S Ma, D Liu - Information Sciences, 2024 - Elsevier
Community detection algorithms play an important role in revealing and analyzing complex
network structures. However, when these algorithms are put into practice, privacy concerns …

Finding core-periphery structures with node influences

X Shen, S Aliko, Y Han, JI Skipper… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Detecting core-periphery structures is one of the outstanding issues in complex network
analysis. Various algorithms can identify core nodes and periphery nodes. Recent advances …

Interrelation measurement based on the multi-layer limited penetrable horizontal visibility graph

M Wang, C Hua, M Zhu, S Xie, H Xu, ALM Vilela… - Chaos, Solitons & …, 2022 - Elsevier
Interrelation measurement is the basis of big data mining. This paper proposes an efficient
method to measure the dynamic correlation and synchronicity relationship of …

Multiplex network disintegration strategy inference based on deep network representation learning

C Zeng, L Lu, H Liu, J Chen, Z Zhou - Chaos: An Interdisciplinary …, 2022 - pubs.aip.org
Multiplex networks have attracted more and more attention because they can model the
coupling of network nodes between layers more accurately. The interaction of nodes …

Controlling segregation in social network dynamics as an edge formation game

R Luo, B Nettasinghe… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This paper studies controlling segregation in social networks via exogenous incentives. We
construct an edge formation game on a directed graph. A user (node) chooses the …

Unsupervised community detection in attributed networks based on mutual information maximization

J Zhu, X Li, C Gao, Z Wang, J Kurths - New Journal of Physics, 2021 - iopscience.iop.org
Community detection is of great significance for understanding network functions and
behaviors. With the successful application of deep learning in network-based analyses …

A deep learning-based fault diagnosis of leader-following systems

X Liu, X Lu, Z Gao - IEEE Access, 2022 - ieeexplore.ieee.org
This paper develops a multisensor data fusion-based deep learning algorithm to locate and
classify faults in a leader-following multiagent system. First, sequences of one-dimensional …