Nucleation phenomena and extreme vulnerability of spatial k-core systems

Autor: Leyang Xue, Shengling Gao, Lazaros K. Gallos, Orr Levy, Bnaya Gross, Zengru Di, Shlomo Havlin

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)

Abstract K-core percolation is a fundamental dynamical process in complex networks with applications that span numerous real-world systems. Earlier studies focus primarily on random networks without spatial constraints and reveal intriguing mixed-ord

Externí odkaz: https://doaj.org/article/86b7e2bed066475dbf578925f07a44d5

Clinical and virological course of patients with coronavirus disease 2019 in Jiangsu province, China: a retrospective, multi-center cohort study

Autor: Rui Huang, Li Zhu, Leyang Xue, Xuebing Yan, Jian Wang, Songping Huang, Biao Zhang, Tianmin Xu, Fang Ji, Chunyang Li, Fang Ming, Yun Zhao, Yang Li, Juan Cheng, Yinling Wang, Huaping Shao, Shuqin Hong, Kang Chen, Xiang-an Zhao, Dawen Sang, Lei Zou, Haiyan Zhao, Xinying Guan, Xiaobing Chen, Biyun Xu, Juan Xia, Yuxin Chen, Xiaomin Yan, Jie Wei, Jiacheng Liu, Longgen Liu, Chuanwu Zhu, Chao Wu

Publikováno v: Virology Journal, Vol 18, Iss 1, Pp 1-8 (2021)

Abstract Background The clinical and virological course of patients with coronavirus disease 2019 (COVID-19) are lacking. We aimed to describe the clinical and virological characteristics of COVID-19 patients from 10 designated hospitals in 10 cities

Externí odkaz: https://doaj.org/article/3e92614b88734b3da361176fb12e06a4

Stability Analysis of the World Energy Trade Structure by Multiscale Embedding

Autor: Leyang Xue, Feier Chen, Guiyuan Fu, Qiliang Xia, Luhui Du

Publikováno v: Frontiers in Energy Research, Vol 9 (2021)

This study investigates the dynamic trading network structure of the international crude oil and gas market from year 2012 to 2017. We employed the dynamical similarity analysis at different time scales by inducing a multiscale embedding for dimensio

Externí odkaz: https://doaj.org/article/f9c0716cff94464ab920f73b2b253681

Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study

Autor: Kang Chen, Juan Cheng, Zhaoping Zhang, Chunyang Li, Chuanwu Zhu, Chao Wu, Xiaobing Chen, Tianmin Xu, Xinying Guan, Xuebing Yan, Xiaomin Yan, Yun Zhao, Jiacheng Liu, Biao Zhang, Longgen Liu, Fang Ming, Songping Huang, Fang Ji, Leyang Xue, Xiang-An Zhao, Rui Huang, Jian Wang, Dawen Sang, Li Zhu

Publikováno v: Medicina Clinica

Antecedentes Pocos estudios han investigado el impacto del síndrome metabólico (SM) en la enfermedad por coronavirus 2019 (COVID-19). Describimos las características clínicas y el pronóstico de los pacientes con COVID-19 confirmados con SM duran

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43888282b9c0d5cc911f4e1dbf82a8fc
https://doi.org/10.1016/j.medcle.2021.05.022

PAINT: Path Aware Iterative Network Tomography for Link Metric Inference

Autor: Leyang Xue, Mahesh K. Marina, Geng Li, Kai Zheng

Publikováno v: Xue, L, Marina, M K, Li, G & Zheng, K 2022, PAINT: Path Aware Iterative Network Tomography for Link Metric Inference . in Proceedings of the 30th IEEE International Conference on Network Protocols . IEEE International Conference on Network Protocols (ICNP), Institute of Electrical and Electronics Engineers (IEEE), The 30th IEEE International Conference on Network Protocols, Lexington, Kentucky, United States, 30/10/22 . https://doi.org/10.1109/ICNP55882.2022.9940432

Understanding link-level performance is key to assuring the quality of cloud-based and OTT services, optimal path selection, robust network operations and beyond. However, direct measurement of each link not only incurs high overhead at the Internet-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3258fad203d41465f31d2a73eeefb346
https://hdl.handle.net/20.500.11820/1d551edf-6604-4095-b1b5-49adccc8affb