Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Xianghong Meng"'
Autor:
Youjing Luo, Xianghong Meng, Guangyu Zhou, Jiali Zhou, Yue-jia Luo, Hui Ai, Christina Zelano, Fuyong Chen, Pengfei Xu
Publikováno v:
NeuroImage, Vol 298, Iss , Pp 120773- (2024)
Non-invasive neuroimaging has revealed specific network-based resting-state dynamics in the human brain, yet the underlying neurophysiological mechanism remains unclear. We employed intracranial electroencephalography to characterize local field pote
Externí odkaz:
https://doaj.org/article/6866e41161da45f583a34ee4cd156be7
Autor:
Xintong Wang, Xianghong Meng, Yanlong Dong, Chunhua Song, Fengyang Sui, Xinxin Lu, Xiaoxue Mei, Yawen Fan, Yan Liu
Publikováno v:
Biotechnology for Biofuels and Bioproducts, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract Background The increasingly severe salinization of the aquatic environment has led to serious damage to the habitats of aquatic organisms. Benthic diatoms are commonly employed as indicator species for assessing water quality and serve as a
Externí odkaz:
https://doaj.org/article/48031ed97a50439cbcb79448f340c39c
Publikováno v:
BMC Surgery, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background In clinical practice, spinal extradural arachnoid cysts (SEAC) are relatively rare. The key to the treatment of SEAC is recognize and close the dural defects (fistula orifice), but there is currently no convenient method to locate
Externí odkaz:
https://doaj.org/article/6376c9af8ce148b7a3cc94e2dbdbfce1
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0300790 (2024)
Myocardial ischemia-reperfusion injury (MIRI) refers to the secondary damage to myocardial tissue that occurs when blood perfusion is rapidly restored following myocardial ischemia. This process often exacerbates the injury to myocardial fiber struct
Externí odkaz:
https://doaj.org/article/a14de8ebc8d142feacb37d254cd5cc2e
Publikováno v:
NeuroImage, Vol 284, Iss , Pp 120439- (2023)
Stereoelectroencephalography (SEEG) offers unique neural data from in-depth brain structures with fine temporal resolutions to better investigate the origin of epileptic brain activities. Although oscillatory patterns from different frequency bands a
Externí odkaz:
https://doaj.org/article/74eff7408ac3464a8b1d801ad9959b04
Autor:
Jiajie Mo, Wenyu Dong, Lin Sang, Zhong Zheng, Qiang Guo, Xiuming Zhou, Wenjing Zhou, Haixiang Wang, Xianghong Meng, Yi Yao, Fengpeng Wang, Wenhan Hu, Kai Zhang, Xiaoqiu Shao
Publikováno v:
Therapeutic Advances in Neurological Disorders, Vol 16 (2023)
Background: Posterior cortex epilepsy (PCE) primarily comprises seizures originating from the occipital, parietal, and/or posterior edge of the temporal lobe. Electroclinical dissociation and subtle imaging representation render the diagnosis of PCE
Externí odkaz:
https://doaj.org/article/6a663d489e1647788d64c5d6e35b09a5
Autor:
Baoxiang Shang, Feiyan Duan, Ruiqi Fu, Junling Gao, Hinhung Sik, Xianghong Meng, Chunqi Chang
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
IntroductionThis study examines the state and trait effects of short-term mindfulness-based stress reduction (MBSR) training using convolutional neural networks (CNN) based deep learning methods and traditional machine learning methods, including sha
Externí odkaz:
https://doaj.org/article/879d329300fc4725b0a2f048d6ddf056
Publikováno v:
Shipin gongye ke-ji, Vol 43, Iss 20, Pp 252-262 (2022)
To reduce the waste of resources, kiwifruit residue was fermented by Lactobacillus plantarum to prepare the beverage. The effects of solid-liquid ratio, inoculation volume, initial TSS and fermentation time on sensory score and viable count of the pr
Externí odkaz:
https://doaj.org/article/d7426e0a1fbe4d29ab91cb7f9cbc6397
Publikováno v:
BMC Musculoskeletal Disorders, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background A deep convolutional neural network (DCNN) system is proposed to measure the lower limb parameters of the mechanical lateral distal femur angle (mLDFA), medial proximal tibial angle (MPTA), lateral distal tibial angle (LDTA), join
Externí odkaz:
https://doaj.org/article/eff9f5487d4c4336a7e7a8707ea12085
Autor:
Xianghong Meng, Kan Deng, Bingsheng Huang, Xiaoyi Lin, Yingtong Wu, Wei Tao, Chuxuan Lin, Yang Yang, Fuyong Chen
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
ObjectiveTo assist improving long-term postoperative seizure-free rate, we aimed to use machine learning algorithms based on neuropsychological data to differentiate temporal lobe epilepsy (TLE) from extratemporal lobe epilepsy (extraTLE), as well as
Externí odkaz:
https://doaj.org/article/580500e32a494cac9064bcede5ef8fa8