Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Siyang Leng"'
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract An abundance of complex dynamical phenomena exists in nature and human society, requiring sophisticated analytical tools to understand and explain. Causal analysis through observational time series data is essential in comprehending complex
Externí odkaz:
https://doaj.org/article/e88f14defb64400e9903c46ac0fc40f1
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 11, Pp n/a-n/a (2024)
Accurate prediction of the future evolution of observational time series is a paramount challenge in current data‐driven research. While existing techniques struggle to learn useful representations from the temporal correlations, the high dimension
Externí odkaz:
https://doaj.org/article/3638a1c84b9b4871bf6e343994f30c90
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34065- (2024)
Synchronization in complex networks is a ubiquitous and important phenomenon with implications in various fields. Excessive synchronization may lead to undesired consequences, making desynchronization techniques essential. Exploiting the Proximal Pol
Externí odkaz:
https://doaj.org/article/de4723b5ee5d441dab497b726820eff7
Publikováno v:
Entropy, Vol 25, Iss 8, p 1200 (2023)
Information aggregation in distributed sensor networks has received significant attention from researchers in various disciplines. Distributed consensus algorithms are broadly developed to accelerate the convergence to consensus under different commu
Externí odkaz:
https://doaj.org/article/a44f998b04b7443b9b16eb132c83bf41
Publikováno v:
Entropy, Vol 25, Iss 3, p 515 (2023)
Physically implemented neural networks are subject to external perturbations and internal variations. Existing works focus on the adversarial attacks but seldom consider attack on the network structure and the corresponding recovery method. Inspired
Externí odkaz:
https://doaj.org/article/2e5d4472554445c3a52f65d3daf25a07
Autor:
Siyang Leng, Huanfei Ma, Jürgen Kurths, Ying-Cheng Lai, Wei Lin, Kazuyuki Aihara, Luonan Chen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
It is crucial yet challenging to identify cause-consequence relation in complex dynamical systems where direct causal links can mix with indirect ones. Leng et al. propose a data-driven model-independent method to distinguish direct from indirect cau
Externí odkaz:
https://doaj.org/article/e72498840e1b4a95b6f0ce9021512759
Publikováno v:
BMC Ophthalmology, Vol 19, Iss 1, Pp 1-8 (2019)
Abstract Background The purpose of this case series was to further characterize proteasome inhibitor associated chalazia and blepharitis, to investigate outcomes of different management strategies, and to propose a treatment algorithm for eyelid comp
Externí odkaz:
https://doaj.org/article/1ee1a9d5945f475d934c4080a224b66f
Autor:
Vernon Wu, Erin Moshier, Siyang Leng, Bart Barlogie, Hearn Jay Cho, Sundar Jagannath, Deepu Madduri, Madhu Mazumdar, Samir Parekh, Ajai Chari
Publikováno v:
Blood Advances, Vol 2, Iss 12, Pp 1470-1479 (2018)
Abstract: We investigated the predictive role for serum free light chain ratio (FLCr) ≥100, bone marrow plasma cell (BMPC) ≥60%, and evolving biomarkers through group-based trajectory modeling (GBTM) as high-risk defining events in 273 smoldering
Externí odkaz:
https://doaj.org/article/c05710c10737416d87826cf60170b9c2
Autor:
Alisse Hannaford BS, David Del Bello MD, Siyang Leng MD, Ajai Chari MD, PhD, Ponni Perumalswami MD, Douglas Dieterich MD, Andrea Branch PhD
Publikováno v:
Journal of Investigative Medicine High Impact Case Reports, Vol 5 (2017)
Background and Aim: The vast majority of the 2.7 million individuals in the United States who are currently infected with hepatitis C virus (HCV) were born between 1945 and 1965. The median age of these patients in this particular generation at the t
Externí odkaz:
https://doaj.org/article/e645c17e2a9943a4b98598142f453e09
Publikováno v:
Information Sciences. 633:41-69
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f2e770ca592e6bf153de68378827dca
https://doi.org/10.1016/j.ins.2023.03.057
https://doi.org/10.1016/j.ins.2023.03.057