Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Yuanyuan DANG"'
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract Governments and healthcare institutions are increasingly recognizing the value of leveraging social media data to address disease outbreaks. This is due to the rapid dissemination and rich content of social media data, which includes real-ti
Externí odkaz:
https://doaj.org/article/9a1deef3a670412a974f45ebd2bf03f5
Publikováno v:
NeuroImage, Vol 297, Iss , Pp 120699- (2024)
After more than 30 years of extensive investigation, impressive progress has been made in identifying the neural correlates of consciousness (NCC). However, the functional role of spatiotemporally distinct consciousness-related neural activity in con
Externí odkaz:
https://doaj.org/article/e2045782f9634209986e5c7df04158a9
Publikováno v:
IEEE Access, Vol 12, Pp 123388-123400 (2024)
The semantic segmentation of high-resolution remote sensing images is widely used in various precision agriculture, urban planning, and environmental detection are some examples of these industries. Convolutional neural networks (CNNs) are excellent
Externí odkaz:
https://doaj.org/article/0912ccc20c7a4ea3934e98ffcf608557
Publikováno v:
IEEE Access, Vol 12, Pp 106567-106578 (2024)
Electroencephalography (EEG) plays a key role in the clinical evaluation of epilepsy and provides strong support for treatment decisions. However, analyzing and decoding EEG recordings is a burdensome task for neurologists and clinical experts. Exist
Externí odkaz:
https://doaj.org/article/c262c89df5a541f3a2e108b9bfa0befa
Autor:
Xiaoxia Li, Xiaoyu Chang, Yuanyuan Dang, Yixuan Xue, Qingan Wang, Wanlu Liu, Ting Yin, Yi Zhao, Yuhong Zhang
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Adiposity and insulin resistance (IR) are closely associated with hypertension; however, the role of interactions between obesity phenotypes and IR in hypertension is unclear. This study aimed to evaluate the interactions of body
Externí odkaz:
https://doaj.org/article/ea328457d8ba4a698626d2420913e4e2
Autor:
Jianghong He, Haoran Zhang, Yuanyuan Dang, Yutong Zhuang, Qianqian Ge, Yi Yang, Long Xu, Xiaoyu Xia, Steven Laureys, Shan Yu, Wangming Zhang
Publikováno v:
Brain Stimulation, Vol 16, Iss 5, Pp 1522-1532 (2023)
Background: Deep brain stimulation (DBS) in the centromedian-parafascicular complex (CM-pf) has been reported as a potential therapeutic option for disorders of consciousness (DoC). However, the lack of understanding of its electrophysiological chara
Externí odkaz:
https://doaj.org/article/30ad5e35c47f457fb76990e1e1b6f88d
Autor:
Hulin Zhao, Shuhua Zhang, Yining Wang, Chuting Zhang, Zihua Gong, Mingjie Zhang, Wei Dai, Ye Ran, Wenbin Shi, Yuanyuan Dang, Aijun Liu, Zhengbo Zhang, Chien-Hung Yeh, Zhao Dong, Shengyuan Yu
Publikováno v:
iScience, Vol 27, Iss 2, Pp 108847- (2024)
Summary: The integration of stereoelectroencephalography with therapeutic deep brain stimulation (DBS) holds immense promise as a viable approach for precise treatment of refractory disorders, yet it has not been explored in the domain of headache or
Externí odkaz:
https://doaj.org/article/79a7ffd18b2a4133b9aeda0b9c1f9d41
Publikováno v:
eLife, Vol 12 (2024)
Exploring the neural mechanisms of awareness is a fundamental task of cognitive neuroscience. There is an ongoing dispute regarding the role of the prefrontal cortex (PFC) in the emergence of awareness, which is partially raised by the confound betwe
Externí odkaz:
https://doaj.org/article/caf0567f67d34fa8b4ec526ed6842d7a
Autor:
Yilin Liu, Yuanyuan Dang, Chuhan Zhang, Liu Liu, Wenhui Cai, Liantao Li, Lin Fang, Meng Wang, Shunzhe Xu, Gang Wang, Junnian Zheng, Huizhong Li
Publikováno v:
iScience, Vol 27, Iss 1, Pp 108597- (2024)
Summary: CD1d-restricted invariant NKT (iNKT) cells play a critical role in tumor immunity. However, the scarcity and limited persistence restricts their development and clinical application. Here, we demonstrated that iNKT cells could be efficiently
Externí odkaz:
https://doaj.org/article/5e5e0f48e4b7486da8eec13cf2771ca5
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Object detection has a wide range of applications in forestry pest control. However, forest pest detection faces the challenges of a lack of datasets and low accuracy of small target detection. DETR is an end-to-end object detection model based on th
Externí odkaz:
https://doaj.org/article/e28b1e884f3d48b9ae2c5eeb7b948621