Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Yuchao Su"'
Publikováno v:
Journal of International Medical Research, Vol 52 (2024)
Objective Identifying precise biomarkers for colorectal cancer (CRC) detection and management remains challenging. Here, we developed an innovative prognostic model for CRC using cuproptosis-related long non-coding RNAs (lncRNAs). Methods In this ret
Externí odkaz:
https://doaj.org/article/e15311fd77c743e0b6b5f3aaf2b697ab
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
ObjectiveClear cell renal cell carcinoma (ccRCC) is the most common type of renal cancer and currently lacks effective biomarkers. This research aims to analyze and identify RNA editing profile associated with ccRCC prognosis through bioinformatics a
Externí odkaz:
https://doaj.org/article/cb744bdb88f7495f8cbc9464835738a1
Publikováno v:
Journal of International Medical Research, Vol 52 (2024)
Objective The OpenVigil database can be used to assess medications that may cause supraventricular tachycardia (SVT) and to produce a reference for their safe use in clinical settings. Methods We analyzed first-quarter data from 2004 to 2023, obtaine
Externí odkaz:
https://doaj.org/article/390215c76a074ed59825361a4deff2f2
Publikováno v:
AIP Advances, Vol 9, Iss 5, Pp 055121-055121-8 (2019)
Because of the limited sound insulation provided by a single material, it is common to use multiple layers of materials to improve the effects of sound insulation, but multiple materials increase the size of the model. In some cases, there are limits
Externí odkaz:
https://doaj.org/article/8ef16358009e47169824773f200e939d
Publikováno v:
Complexity, Vol 2019 (2019)
This paper proposes a constrained solution update strategy for multiobjective evolutionary algorithm based on decomposition, in which each agent aims to optimize one decomposed subproblem. Different from the existing approaches that assign one soluti
Externí odkaz:
https://doaj.org/article/2c7f9920aa114ab9a79d925e47d910a4
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:16773-16785
Publikováno v:
IEEE Transactions on Cybernetics. :1-14
Decomposition methods have been widely employed in evolutionary algorithms for tackling multiobjective optimization problems (MOPs) due to their good mathematical explanation and promising performance. However, most decomposition methods only use a s
Publikováno v:
International Journal of Emerging Markets.
PurposeDrawing upon the social exchange theory, this study examines the interplay of transactive memory system (TMS) with improvisation and market competition intensity for the impact on entrepreneurship performance.Design/methodology/approachThis st
Publikováno v:
Neurocomputing. 408:308-330
Since the multiobjective evolutionary algorithm based on decomposition (MOEA/D) was proposed by Zhang and Li in 2007, this interesting framework has attracted a considerable attention from researchers. In MOEA/D, a multiobjective optimization problem
Publikováno v:
Journal of Systems Engineering and Electronics. :142-155
Many-objective optimization problems take challenges to multi-objective evolutionary algorithms. A number of nondominated solutions in population cause a difficult selection towards the Pareto front. To tackle this issue, a series of indicatorbased m