Zobrazeno 1 - 10
of 180
pro vyhledávání: '"XiangWei, Zheng"'
Publikováno v:
International Journal of Crowd Science, Vol 8, Iss 1, Pp 56-63 (2024)
During a hospital visit, a significant volume of Gastroscopy Diagnostic Text (GDT) data are produced, representing the unstructured gastric medical records of patients undergoing gastroscopy. As such, GDTs play a crucial role in evaluating the patien
Externí odkaz:
https://doaj.org/article/711af7824d9545b7aae2f9f4149e0a89
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 559-569 (2024)
Major depressive disorder (MDD) is the most common psychological disease. To improve the recognition accuracy of MDD, more and more machine learning methods have been proposed to mining EEG features, i.e. typical brain functional patterns and recogni
Externí odkaz:
https://doaj.org/article/3728c213a3024f6382bea163280f17e2
Publikováno v:
Digital Communications and Networks, Vol 9, Iss 5, Pp 1101-1112 (2023)
Network virtualization can effectively establish dedicated virtual networks to implement various network functions. However, the existing research works have some shortcomings, for example, although computing resource properties of individual nodes a
Externí odkaz:
https://doaj.org/article/096c4b44af204a2c9ee713f1ce1d21cc
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 9, Pp 101783- (2023)
Time series classification exists in widespread domains such as EEG/ECG classification, device anomaly detection, and speaker authentication. Although many methods have been proposed, efficient selection of intuitive temporal features to accurately c
Externí odkaz:
https://doaj.org/article/3ea0a092c94743b7b3ca3f285fa38c2e
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101654- (2023)
Electronic Health Records (EHRs) contain unprecedented volumes of data related to health such as diagnosis and treatment information. Based on the technologies of named entity recognition (NER), EHRs mining has become a research focus in health domai
Externí odkaz:
https://doaj.org/article/dc8ad102f541483fa8ffb1fbf60fee7a
Autor:
Juntao Li, Yue Wu, Xinxin Yu, Xinyu Zheng, Jiechen Xian, Senjie Li, Wanyin Shi, Yun Tang, Zhe-Sheng Chen, Guixia Liu, Shen Yao, Jian Xu, Xiangwei Zheng
Publikováno v:
Chinese Medicine, Vol 17, Iss 1, Pp 1-18 (2022)
Abstract Background As known, inhibition of phosphodiesterase 5 (PDE5) has the therapeutic effect on male erectile dysfunction (ED), and the processed folium of Epimedium sagittatum Maxim. (PFES) characterized by 8-isopentenyl flavonoids is a famous
Externí odkaz:
https://doaj.org/article/46fa77fc0d5e4948a6b923cf40d53565
Autor:
Kai Wang, Juntao Li, Xinyu Zheng, Jian Xu, Zhe Wang, Senjie Li, Qiang Yang, Yue Wu, Dong-Hua Yang, Shen Yao, Xiangwei Zheng
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Background: Kidney-Yang deficiency syndrome (KDS) is a group of diseases related to hypothalamic-pituitary-adrenal (HPA) axis and sexual dysfunction. The folium of Epimedium brevicornu Maxim. (FEB) includes raw and prepared slices, named RFEB and PFE
Externí odkaz:
https://doaj.org/article/5e72812c18ef4268a9e8b46cebf1b51c
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2022-2031 (2022)
Since multimodal emotion classification in different human states has rarely been studied, this paper explores the emotional mechanisms of the brain functional connectivity networks after emotional stimulation. We devise a multimodal emotion classifi
Externí odkaz:
https://doaj.org/article/a0350e7d8373487a863d7d43419bd167
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
The diterpenoid fraction (DF) prepared from fruit of Rhododendron molle was shown to have potential therapeutic effects on collagen-induced arthritis (CIA) rats based on our previous studies. As a continuation of those studies, herein, a lipopolysacc
Externí odkaz:
https://doaj.org/article/21e6388f394644b68939ac23eca7f923
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Electroencephalogram (EEG) has been widely utilized in emotion recognition. Psychologists have found that emotions can be divided into conscious emotion and unconscious emotion. In this article, we explore to classify subliminal emotions (happiness a
Externí odkaz:
https://doaj.org/article/eb8b6bffb9bf44ecbb9098b9c0831e58