Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Yaoxin Wu"'
A metabolic reprogramming-related gene signature correlates with prognosis and proliferation of BLCA
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Bladder cancer (BLCA) is one of the most frequent urothelium carcinoma, but with poor prognosis due to lack of reliable predictive biomarkers. Metabolic reprogramming involving in various nutrients, and is reported to be closely associated w
Externí odkaz:
https://doaj.org/article/4cb173e2a59745e783ccc0b1ed7da215
Publikováno v:
Complex System Modeling and Simulation, Vol 4, Iss 2, Pp 184-209 (2024)
Remanufacturing is regarded as a sustainable manufacturing paradigm of energy conservation and environment protection. To improve the efficiency of the remanufacturing process, this work investigates an integrated scheduling problem for disassembly a
Externí odkaz:
https://doaj.org/article/607202f5adbd4e87b6c43e805d4d9c4b
Publikováno v:
Frontiers in Bioscience-Landmark, Vol 29, Iss 2, p 54 (2024)
Sepsis is defined as “a life-threatening organ dysfunction caused by a dysregulated host response to infection”. Although the treatment of sepsis has evolved rapidly in the last few years, the morbidity and mortality of sepsis in clinical treatme
Externí odkaz:
https://doaj.org/article/9b6c7c2e1fc043929a5f14b09b298fb4
Publikováno v:
IET Collaborative Intelligent Manufacturing, Vol 5, Iss 1, Pp n/a-n/a (2023)
Abstract An efficient manufacturing system is key to maintaining a healthy economy today. With the rapid development of science and technology and the progress of human society, the modern manufacturing system is becoming increasingly complex, posing
Externí odkaz:
https://doaj.org/article/53311662ab2f4d46a0474213c65ad74b
Autor:
Mingfeng Fan, Yaoxin Wu, Tianjun Liao, Zhiguang Cao, Hongliang Guo, Guillaume Sartoretti, Guohua Wu
Publikováno v:
IEEE Transactions on Vehicular Technology. 72:5732-5746
Publikováno v:
Acupuncture and Herbal Medicine. 3:28-37
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:5057-5069
Recent studies in using deep learning to solve routing problems focus on construction heuristics, the solutions of which are still far from optimality. Improvement heuristics have great potential to narrow this gap by iteratively refining a solution.
Publikováno v:
International Journal of Medical Sciences; 2024, Vol. 21 Issue 2, p369-375, 7p
Airport ground handling (AGH) offers necessary operations to flights during their turnarounds and is of great importance to the efficiency of airport management and the economics of aviation. Such a problem involves the interplay among the operations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1be8e879a1294225c6c407674eddb7
http://arxiv.org/abs/2303.02442
http://arxiv.org/abs/2303.02442
Dispatching vehicle fleets to serve flights is a key task in airport ground handling (AGH). Due to the notable growth of flights, it is challenging to simultaneously schedule multiple types of operations (services) for a large number of flights, wher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8efef21663b7b9b9c752a8a3e6f61484
http://arxiv.org/abs/2302.13797
http://arxiv.org/abs/2302.13797