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Akademický článek

Identification and complete genome sequencing of human adenovirus type 55 isolated from a patient with acute hemorrhagic conjunctivitis

Autor: LIU Jiajing, CUI Xiaoqing, ZHANG Wanju, FANG Fanghao, PENG Yajun, CHEN Min, ZHANG Jingyi, TENG Zheng

Publikováno v: Shanghai yufang yixue, Vol 35, Iss 4, Pp 332-337 (2023)

ObjectiveTo determine the genomic characteristics of a subgenus B human adenovirus strain isolated in Shanghai in 2021.MethodsAn adenovirus type 55 strain was isolated and identified from a patient with acute hemorrhagic conjunctivitis （AHC）. Com

Externí odkaz: https://doaj.org/article/3652b721c10947528be62d6d27b1d487

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Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces

Autor: Wang, Ziwei, Li, Siyang, Luo, Jingwei, Liu, Jiajing, Wu, Dongrui

Publikováno v: Neural Networks, 176:106351, 2024

A brain-computer interface (BCI) enables direct communication between the human brain and external devices. Electroencephalography (EEG) based BCIs are currently the most popular for able-bodied users. To increase user-friendliness, usually a small a

Externí odkaz: http://arxiv.org/abs/2412.03224

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Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces

Autor: Jia, Tianwang, Meng, Lubin, Li, Siyang, Liu, Jiajing, Wu, Dongrui

Publikováno v: IEEE Trans. on Neural Systems and Rehabilitation Engineering, 32:3442-3451, 2024

Training an accurate classifier for EEG-based brain-computer interface (BCI) requires EEG data from a large number of users, whereas protecting their data privacy is a critical consideration. Federated learning (FL) is a promising solution to this ch

Externí odkaz: http://arxiv.org/abs/2412.01079

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The democratic detrender: Ensemble-Based Removal of the Nuisance Signal in Stellar Time-Series Photometry

Autor: Yahalomi, Daniel A., Kipping, David, Solano-Oropeza, Diana, Li, Madison, Poddar, Avishi, Xunhe, Zhang, Abaakil, Yassine, Cassese, Benjamin, Teachey, Alex, Liu, Jiajing, Sundai, Farai, Valaskovic, Lila

Accurate, precise, and computationally efficient removal of unwanted activity that exists as a combination of periodic, quasi-periodic, and non-periodic systematic trends in time-series photometric data is a critical step in exoplanet transit analysi

Externí odkaz: http://arxiv.org/abs/2411.09753

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