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2,568 results on '"Huang, Biao"'

4. An Investigation on EEG-based Prognosis Prediction of Patients with Disorders of Consciousness

Author

Li, Jingcong, Huang, Biao, Pan, Jiahui, and Wang, Fei

Subjects
Artificial Intelligence, Cognitive Neuroscience, Consciousness, Electroencephalography (EEG), Neural Networks
Abstract

Prognostic assessment of patients with disorders of consciousness (DoC) remains one of the most challenging problems in contemporary medicine. The long treatment cycle and high costs of treatment are heavy burdens to our society. In this paper, we use deep network to investigate potential indicators of consciousness within brain signals of DoC patients. In the experiments, we study P300 and resting-state Electroencephalogram (rs-EEG) signals of 22 DoC patients to investigate neural correlation between brain signals and the improvement of consciousness. Synergistic integration of P300 and rs-EEG signals demonstrated superior predictive proficiency for cross-subject and cross-paradigm prognosis in DoC, achieving an accuracy of 81.1%. Our investigation is the first known to the literature to combine P300 and rs-EEG signals for analyzing DoC. This novel approach leverages advanced neural network models to elucidate the complex neural patterns associated with DoC, setting a precedent for future research in the field.

Published
2024

10. Research Progress on Microbial Diversity, Evaluation and Maintenance of Baijiu Pit Mud

Author

ZOU Fei, YE Li, FENG Liang, ZHENG Xiaowei, HUANG Biao, XIA Bing, ZHANG Wuji, CHEN Xiaoyuan, FANG Zhengguo, SUN Yuting

Subjects
baijiu, pit mud, microbial diversity, functional strains, maintenance and evaluation, Food processing and manufacture, TP368-456
Abstract

Solid-state fermentation in mud pits is a typical brewing process for nongxiangxing baijiu and fuyuxiangxing baijiu. Pit mud is the functional carrier of mud pits, in which the abundance, diversity, metabolic activity and interaction of microorganisms could directly affect the quality of baijiu. This paper reviews the application of traditional culture and non-culture techniques in research on microorganisms in pit mud, the spatiotemporal differences in microbial community structure, the functional microorganisms and their interactions, the development and improvement of the methods for the quality evaluation of pit mud, and pit mud maintenance and aging focusing on the functional strains, and summarizes the development history and application status of different techniques in the field of research on microorganisms related to the production of Chinese baijiu, the growth and decline patterns of prokaryotic and eukaryotic microorganisms during pit mud aging, the spatial difference in the distribution of prokaryotic and eukaryotic microorganisms in the pit, and the functions and interdependence of the core functional microorganisms in pit mud such as caproic acid bacteria, butyric acid bacteria, lactic acid bacteria, acetic acid bacteria and methane bacteria, the reason for pit mud aging, the transformation of the criteria for quality evaluation pit mud from traditional sensory and physicochemical analysis to the comprehensive evaluation system, and studies on pit mud maintenance and aging based on the functional properties of core strains. The purpose of this review is to provide a reference for evaluating the microbial diversity, exploring the metabolic function of microbial community and improving the quality of pit mud.

Published
2024
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41. Long-term expandable mouse and human-induced nephron progenitor cells enable kidney organoid maturation and modeling of plasticity and disease

Author

Huang, Biao, Zeng, Zipeng, Kim, Sunghyun, Fausto, Connor C., Koppitch, Kari, Li, Hui, Li, Zexu, Chen, Xi, Guo, Jinjin, Zhang, Chennan C., Ma, Tianyi, Medina, Pedro, Schreiber, Megan E., Xia, Mateo W., Vonk, Ariel C., Xiang, Tianyuan, Patel, Tadrushi, Li, Yidan, Parvez, Riana K., Der, Balint, Chen, Jyun Hao, Liu, Zhenqing, Thornton, Matthew E., Grubbs, Brendan H., Diao, Yarui, Dou, Yali, Gnedeva, Ksenia, Ying, Qilong, Pastor-Soler, Nuria M., Fei, Teng, Hallows, Kenneth R., Lindström, Nils O., McMahon, Andrew P., and Li, Zhongwei

Published
2024
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