Zobrazeno 1 - 10
of 1 764
pro vyhledávání: '"Shan Chang"'
Publikováno v:
IEEE Access, Vol 12, Pp 82469-82481 (2024)
The lesion area of cancer presents complex physiological structures, posing significant challenges for accurate segmentation, which is required in radiotherapy or chemo-radiotherapy. The existing general-purpose segmentation models have made signific
Externí odkaz:
https://doaj.org/article/53f0ee7b4eb14395926ccb156931de2e
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-14 (2023)
Abstract For ligand binding prediction, it is crucial for molecular docking programs to integrate template-based modeling with a precise scoring function. Here, we proposed the CoDock-Ligand docking method that combines template-based modeling and th
Externí odkaz:
https://doaj.org/article/ab97bbfcb2914538b9e088f49bb3e638
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 15999-16014 (2023)
The spine is one of the most important structures in the human body, serving to support the body, organs, protect nerves, etc. Medical image segmentation for the spine can help doctors in their clinical practice for rapid decision making, surgery pla
Externí odkaz:
https://doaj.org/article/8cbd99c951f341e885fa7bf3afc26ad0
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1666-1679 (2024)
Accurately predicting molecular properties is a challenging but essential task in drug discovery. Recently, many mono-modal deep learning methods have been successfully applied to molecular property prediction. However, mono-modal learning is inheren
Externí odkaz:
https://doaj.org/article/583974d537c846728e540f4c4a97ddf3
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 4, Pp 6174-6190 (2023)
With the development of next-generation protein sequencing technologies, sequence assembly algorithm has become a key technology for de novo sequencing process. At present, the existing methods can address the assembly of an unknown single protein ch
Externí odkaz:
https://doaj.org/article/95ca97d5bc2349a0a11c6e1bcef22222
Publikováno v:
Heliyon, Vol 9, Iss 7, Pp e17694- (2023)
Steel octagon-web beam (SOWB) is a steel structure girder based on the appearance of cellular beam and assembly concept. In order to study the factors affecting deflection, parametric analysis based on finite element (FE) software ABAQUS 2017 was car
Externí odkaz:
https://doaj.org/article/b90186be38184a87beb1d28f9d91a5ae
Autor:
Shuai Hu, Guangbo Yang, Zhou Chen, Qiuye Li, Bin Liu, Ming Liu, Dawei Zhang, Shan Chang, Ren Kong
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
IntroductionSalbutamol (SAL) is a β2 adrenergic receptor agonist which has potential hazardous effects for human health. It is very important to establish a sensitive and convenient method to monitor SAL.MethodsHere we introduce a method to combine
Externí odkaz:
https://doaj.org/article/0bc699aa50e54e418851711050dff209
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
A coordinate transformation theory for the acoustic cloak design based on pentamode material was proposed by Norris in 2008. This theory avoids the problem of infinite density at the inner boundary of the inertial cloak, but the structural design of
Externí odkaz:
https://doaj.org/article/81084d528ef44b99a5251a44a49c6c74
Publikováno v:
Heliyon, Vol 8, Iss 11, Pp e11427- (2022)
Through finite element analysis (FEA) software to study mechanical performance of a bridge structure is currently a commonly used method. The keys to obtain accurate results are to select the appropriate element type and establish a refine mesh model
Externí odkaz:
https://doaj.org/article/4b95635d8357419faf90bc6ed19b63b9
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 6700-6708 (2021)
Aiming at the problems of the wet experiment method in identifying the types of conotoxins, such as the complexity, low efficiency and high cost, this study proposes a method that uses the sequence information of the conotoxin peptides combined with
Externí odkaz:
https://doaj.org/article/049c1f6da8a548d9bd0dfb9d24d17479