Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Xiuqin Ma"'
Autor:
Maoye Wang, Xiaoge Ding, Xinjian Fang, Jing Xu, Yanke Chen, Yu Qian, Jiahui Zhang, Dan Yu, Xiaoxin Zhang, Xiuqin Ma, Taofeng Zhu, Jianmei Gu, Xu Zhang
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-16 (2024)
Abstract Background Circular RNAs (circRNAs) play important roles in cancer progression and metastasis. However, the expression profiles and biological roles of circRNAs in non-small cell lung cancer (NSCLC) remain unclear. Methods In this study, we
Externí odkaz:
https://doaj.org/article/4dcfd012b592462d94b25e2e48adec25
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Faced with the increasing complexity and uncertainty of decision-making information, interval-valued Fermatean hesitant fuzzy sets (IVFHFSs) were presented as a novel mathematical model that handled uncertain data more effectively. However,
Externí odkaz:
https://doaj.org/article/d7990a69ac4b4b38a1dd9afb490bfb1c
A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Interval-valued q-rung orthopair fuzzy set (IVq-ROFS) is a powerful tool for dealing with uncertainty. In this paper, we first propose a new method for aggregating multiple IVq-ROFSs, which is easier to understand and implement in the multi-
Externí odkaz:
https://doaj.org/article/a438ac8f79da4ef5a18628a83143fa6f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Patients with obstructive sleep apnea (OSA) are liable to have resistant hypertension (RH) associated with unfavorable cardiovascular events. It is of necessity to predict OSA patients who are susceptible to resistant hypertension. Hence, we
Externí odkaz:
https://doaj.org/article/ea8dfc9c5204404884cad1402259c136
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32088- (2024)
Although data on the blockchain cannot be tampered with, malicious access by insiders can also lead to data leakage. Access records of block are an important basis for tracing the source of data breaches; however, access records themselves may be tam
Externí odkaz:
https://doaj.org/article/35b5c1b5a1be443b967a5804262bc78b
Publikováno v:
Symmetry, Vol 16, Iss 10, p 1327 (2024)
The interval-valued fuzzy soft set (IVFSS) model, which combines the benefits of the soft set model with the interval-valued fuzzy set (IVFS) model, is a growing and effective mathematical tool for processing hazy data. In detail, this model is chara
Externí odkaz:
https://doaj.org/article/d417a91769fa4e56a2a505d2d8a7e25b
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 1425-1457 (2023)
Abstract Hesitant Fermatean fuzzy sets (HFFS) can characterize the membership degree (MD) and non-membership degree (NMD) of hesitant fuzzy elements in a broader range, which offers superior fuzzy data processing capabilities for addressing complex u
Externí odkaz:
https://doaj.org/article/72c014208cb64c4798ba3f5e7efda943
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5359-5376 (2023)
Abstract Interval-valued Fermatean fuzzy sets (IVFFSs) were introduced as a more effective mathematical tool for handling uncertain information in 2021. In this paper, firstly, a novel score function (SCF) is proposed based on IVFFNs that can disting
Externí odkaz:
https://doaj.org/article/a499f63c076e47668db7f2653ed6ece6
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-15 (2023)
Abstract As a generalization of the fuzzy soft set, interval-valued fuzzy soft set is viewed as a more resilient and powerful tool for dealing with uncertain information. However, the lower or upper membership degree, or both of them, may be missed d
Externí odkaz:
https://doaj.org/article/10b0ab6e508f4e5ab2ddf69c99c04752
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101649- (2023)
Although researchers have benefited from big scholarly data, it is still very difficult for them to quickly and accurately find the suitable literature in the massive literature. In recent years, the research on personalized literature recommendation
Externí odkaz:
https://doaj.org/article/45bd3deea1c646f18cea6c7d0ba32ef8