Zobrazeno 1 - 10
of 8 143
pro vyhledávání: '"Lingwei"'
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Recent advancements in computer vision within the field of artificial intelligence (AI) have made significant inroads into the medical domain. However, the application of AI for classifying renal pathology remains challenging due to the subt
Externí odkaz:
https://doaj.org/article/d58aeb2ba89e46b3ad70c9b8529ab389
Publikováno v:
npj Materials Degradation, Vol 8, Iss 1, Pp 1-17 (2024)
Abstract Deep learning-based generative modeling demonstrates proven advantages as an effective approach in molecular discovery. This study introduces a generative-network based method called Inhibitor_Mol_VAE, which uses a variational autoencoder mo
Externí odkaz:
https://doaj.org/article/1854545f1dc042ad9bce0d82b0be83cd
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 9, Pp 3746-3759 (2024)
Slope stability analysis is a classical mechanical problem in geotechnical engineering and engineering geology. It is of great significance to study the stability evolution of expansive soil slopes for engineering construction in expansive soil areas
Externí odkaz:
https://doaj.org/article/84bdcf2c2f074dceb5adfbb41356297a
Autor:
Xiaoyi YANG, Chenglin TANG, Lingwei FU, Wei LI, Shanshan WU, Weixiang XIAO, Xiaojie HOU, Chang LIN
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 17, Pp 241-251 (2024)
Objective: To establish the common mode of HPLC fingerprints of Wu and Hong Tianma in different regions of Guizhou, and to determine the contents of 8 chemical components in Wu and Hong Tianma in different regions of Guizhou, and to preliminarily ana
Externí odkaz:
https://doaj.org/article/deaf9fa8e62c4445ac3501b0400ed8ef
Autor:
Lingwei Huang, Yiren Jiao, Hangbin Xia, Huili Li, Jing Yu, Yumei Que, Zhen Zeng, Chen Fan, Chen Wang, Chen Yang, Jiang Chang
Publikováno v:
Journal of Orthopaedic Translation, Vol 48, Iss , Pp 146-155 (2024)
Background: Long-term physical inactivity probably leads to a co-existence of osteoporosis and sarcopenia which result in a high risk of falls, fractures, disability and even mortality. However, universally applicable and feasible approaches are lack
Externí odkaz:
https://doaj.org/article/d9f2a39fc7ee472197bf1b9896b057d6
Autor:
He Cai, Fei Lu, Pan Gao, Man Zhang, Xin Wang, Yongbin Li, Lingwei Meng, Bing Peng, Yunqiang Cai
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Objective Achieving textbook outcome (TO) implies a smooth recovery post-operation without specified composite complications. This study aimed to evaluate TO in laparoscopic pancreaticoduodenectomy (LPD) and identify independent risk factors
Externí odkaz:
https://doaj.org/article/983dae32117e41e1bbf52e278c224a90
Publikováno v:
Stats, Vol 7, Iss 2, Pp 508-520 (2024)
In this study, we employed a novel approach of combining Gaussian processes (GPs) with boosting techniques to model the spatial variability inherent in End-Stage Kidney Disease (ESKD) data. Our use of the Gaussian processes boosting, or GPBoost, meth
Externí odkaz:
https://doaj.org/article/4f00b1f0b8744ba4a8145121eac1e24a
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
PurposeTo evaluate the potential of radiomics approach for predicting No. 14v station lymph node metastasis (14vM) in gastric cancer (GC).MethodsThe contrast enhanced CT (CECT) images with corresponding clinical information of 288 GC patients were re
Externí odkaz:
https://doaj.org/article/394a0ccd92a94d77a7fdb86ca3071045
Publikováno v:
Materials Today Bio, Vol 28, Iss , Pp 101221- (2024)
The exponential increasement and the attributes of medical data drive the requirement for secure medical data archiving. DNA data storage shows promise for storing sensitive and important data like medical records due to its high density and enduranc
Externí odkaz:
https://doaj.org/article/88aa5d852d1749ad9ae5e43a8ad154c7
Autor:
Haowen Xu, Jiangcai Wang, Huan Liu, Shihong Chen, Zejun Sun, Chong Wang, Rui Han, Yong Wang, Yutang Wang, Zihao Wang, Shuchun Huang, Lingwei Ma, Dameng Liu
Publikováno v:
Advanced Science, Vol 11, Iss 34, Pp n/a-n/a (2024)
Abstract Hybrid excitons, characterized by their strong oscillation strength and long lifetimes, hold great potential as information carriers in semiconductors. They offer promising applications in exciton‐based devices and circuits. MoSe2/WS2 hete
Externí odkaz:
https://doaj.org/article/0c10cbe7188d4ff18c7afbe16274484f