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Akademický článek

Research Progress of Macrophages in Development of Radiation Pneumonitis and Pulmonary Fibrosis

Publikováno v: Zhongliu Fangzhi Yanjiu, Vol 50, Iss 7, Pp 647-651 (2023)

Radiation pneumonitis and pulmonary fibrosis are important dose-limiting side effects of radiotherapy that influence the prognosis and quality of life of patients with thoracic cancer. The disorder of the immune system plays a key role, especially ma

Externí odkaz: https://doaj.org/article/69df93a455c34563983402c7db683955

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Using Ear-EEG to Decode Auditory Attention in Multiple-speaker Environment

Autor: Zhu, Haolin, Yan, Yujie, Xu, Xiran, Ge, Zhongshu, Tian, Pei, Wu, Xihong, Chen, Jing

Auditory Attention Decoding (AAD) can help to determine the identity of the attended speaker during an auditory selective attention task, by analyzing and processing measurements of electroencephalography (EEG) data. Most studies on AAD are based on

Externí odkaz: http://arxiv.org/abs/2409.08710

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ConvConcatNet: a deep convolutional neural network to reconstruct mel spectrogram from the EEG

Autor: Xu, Xiran, Wang, Bo, Yan, Yujie, Zhu, Haolin, Zhang, Zechen, Wu, Xihong, Chen, Jing

Publikováno v: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)

To investigate the processing of speech in the brain, simple linear models are commonly used to establish a relationship between brain signals and speech features. However, these linear models are ill-equipped to model a highly dynamic and complex no

Externí odkaz: http://arxiv.org/abs/2401.04965

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Self-supervised speech representation and contextual text embedding for match-mismatch classification with EEG recording

Autor: Wang, Bo, Xu, Xiran, Zhang, Zechen, Zhu, Haolin, Yan, YuJie, Wu, Xihong, Chen, Jing

Relating speech to EEG holds considerable importance but is challenging. In this study, a deep convolutional network was employed to extract spatiotemporal features from EEG data. Self-supervised speech representation and contextual text embedding we

Externí odkaz: http://arxiv.org/abs/2401.04964

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A DenseNet-based method for decoding auditory spatial attention with EEG

Autor: Xu, Xiran, Wang, Bo, Yan, Yujie, Wu, Xihong, Chen, Jing

Auditory spatial attention detection (ASAD) aims to decode the attended spatial location with EEG in a multiple-speaker setting. ASAD methods are inspired by the brain lateralization of cortical neural responses during the processing of auditory spat

Externí odkaz: http://arxiv.org/abs/2309.07690

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Akademický článek

Study on the effect of modified zeolite on treating nitrate in water and its influencing factors

Autor: Yang Hui, He Huan, Yan Yujie

Publikováno v: E3S Web of Conferences, Vol 257, p 03058 (2021)

In view of the current application of modified materials in water treatment, the research status of nitrate removal from water by modified zeolite was summarized and analyzed. In this paper, several modification methods of zeolite are summarized, the

Externí odkaz: https://doaj.org/article/e21d81b5c87a48d0bba4ed37b083ed76

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