Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Dongmei Fu"'
Autor:
Xue Sun, Liping Zhang, Qingfeng Luo, Yan Zhou, Jun Du, Dongmei Fu, Ziyu Wang, Yi Lei, Qing Wang, Li Zhao
Publikováno v:
Bioengineering, Vol 11, Iss 10, p 973 (2024)
The early detection accuracy of early gastric cancer (EGC) determines the choice of the optimal treatment strategy and the related medical expenses. We aimed to develop a simple, affordable, and time-saving diagnostic model using six machine learning
Externí odkaz:
https://doaj.org/article/c57ac41b2bd54bedb0d7eac7e0e15a66
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Although vaccination is one of the critical interventions to address global health issues, inadequate vaccination rates has become an international challenge. Vaccine hesitancy is the key to affecting inadequate vaccination rates.
Externí odkaz:
https://doaj.org/article/dcd642a8732d406891445675b4e8151d
Autor:
Jiamiao Jiang, Fei Wang, Weichang Huang, Jia Sun, Yicheng Ye, Juanfeng Ou, Meihuan Liu, Junbin Gao, Shuanghu Wang, Dongmei Fu, Bin Chen, Lu Liu, Fei Peng, Yingfeng Tu
Publikováno v:
Exploration, Vol 3, Iss 2, Pp n/a-n/a (2023)
Abstract The importance of mechanical signals in regulating the fate of macrophages is gaining increased attention recently. However, the recently used mechanical signals normally rely on the physical characteristics of matrix with non‐specificity
Externí odkaz:
https://doaj.org/article/e62b9ca1bdd64cb5bb0ce39eb99113bc
Autor:
Yufan Li, Dongmei Fu, Xuequn Cheng, Dawei Zhang, Yunxiang Chen, Wenkui Hao, Yun Chen, Bingkun Yang
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
Studying the impact of the environment on metal corrosion is of considerable significance for the safety assessment of buildings and the life prediction of equipment. We developed a new regional environmental corrosion model (RECM) to predict the atm
Externí odkaz:
https://doaj.org/article/a55f68fd18c0488f86105a3ef3812cbf
Publikováno v:
IET Image Processing, Vol 15, Iss 3, Pp 587-597 (2021)
Abstract Diabetic retinopathy (DR) is the main reason that causes preventable blindness. Hard exudate is one of the earliest signs of diabetic retinopathy. Precise detection of hard exudate is helpful for the early diagnosis of diabetic retinopathy.
Externí odkaz:
https://doaj.org/article/008c27abe7be41328b6bb5e5c2509f72
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
T cell activation is vital for immune response initiation and modulation. Except for the strength of the interaction between T cell receptors (TCR) and peptides on major histocompatibility complex molecules (MHC), mechanical force, mediated by profes
Externí odkaz:
https://doaj.org/article/4d3ad024083f4d01994c29721f0035d8
Publikováno v:
Frontiers in Chemistry, Vol 9 (2021)
HKU1 is a human beta coronavirus and infects host cells via highly glycosylated spike protein (S). The N-glycosylation of HKU1 S has been reported. However, little is known about its O-glycosylation, which hinders the in-depth understanding of its bi
Externí odkaz:
https://doaj.org/article/21a09b36658c451ca5d4d7761e35e30e
Publikováno v:
IET Computer Vision, Vol 13, Iss 3, Pp 261-266 (2019)
This study introduces a novel multi‐feature‐based non‐rigid three‐dimensional (3D) model retrieval method. First, for each 3D model, compute the scale‐invariant heat kernel signature (SI‐HKS) descriptor and the wave kernel signature (WKS)
Externí odkaz:
https://doaj.org/article/18bba85ba565427aa847801f3b94d88a
Publikováno v:
IEEE Access, Vol 7, Pp 62210-62220 (2019)
For semi-supervised learning, we propose the label propagation method in the framework of evidence theory. The proposed method can deal with two problems which are the classification tasks with extremely few labeled data and identification of outlier
Externí odkaz:
https://doaj.org/article/4bbe71ec522442d2881244098f0b500d
Publikováno v:
IEEE Access, Vol 7, Pp 137913-137919 (2019)
Attention deficit hyperactivity disorder (ADHD) is a kind of mental disease which often appears among young children. Various machine learning techniques including deep neural networks have been used to classify ADHD. As an alternative of deep neural
Externí odkaz:
https://doaj.org/article/e715d7e2ac944c3a9bfacab9b746091f