Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Qiaorong Wang"'
Autor:
Leilei Liu, Zixuan Xu, Linyuan Zhang, Xiao Zhang, Cailiang Zhang, Zixiu Qin, Jing Huang, Qianyuan Yang, Jun Yang, Xuejie Tang, Qiaorong Wang, Feng Hong, Jing Ni
Publikováno v:
Chinese Medical Journal, Vol 136, Iss 15, Pp 1882-1884 (2023)
Externí odkaz:
https://doaj.org/article/b6c13794641346b3bb809bfe0143980c
Autor:
Lei Fu, Lina Zhao, Chunyan Liao, Pengzhen Wang, Ying Gu, Sha Li, Liying Shi, Qiaorong Wang, Jin Xie, Lixin Zhang, Xiaoming Liu, Bei Zhang
Publikováno v:
Experimental and Therapeutic Medicine. 25
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::591cce074b87c802018a5f356f76c04c
https://doi.org/10.3892/etm.2023.11946
https://doi.org/10.3892/etm.2023.11946
Publikováno v:
Environmental geochemistry and health.
Metals play an important role in the development of diabetes mellitus (DM). The association of metals with diabetes among the Dong ethnicity in China remains poorly understood. The current study aimed to evaluate the association of single metal expos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bb274b25e57000ba5fade6437cbe4c6
https://pubmed.ncbi.nlm.nih.gov/35986857
https://pubmed.ncbi.nlm.nih.gov/35986857
Autor:
Qianyuan Yang, Yalan Liu, Feng Hong, Zixiu Qin, Qiaorong Wang, Xuejie Tang, Juan Lei, Cailiang Zhang
Publikováno v:
Biological trace element research. 200(3)
Exposure to heavy metals in the environment exerts serious effects on kidney health. However, the effects of joint exposure on the kidneys have been rarely studied, particularly in non-occupational exposure high-risk populations. This study provided
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d5e27b6484cdd5316d375003561268a
https://pubmed.ncbi.nlm.nih.gov/34263420
https://pubmed.ncbi.nlm.nih.gov/34263420
Autor:
Junyan Tao, Juan Lei, Yalan Liu, Qianyuan Yang, Cailiang Zhang, Qibing Zeng, Linyuan Zhang, Leilei Liu, Feng Hong, Zixiu Qin, Qiaorong Wang, Xuejie Tang, Liubo Zheng
Publikováno v:
Biological trace element research. 200(3)
It has been previously reported that family history of hypertension (FHH) and exposure to metals are each independent risk factor for hypertension, but the interaction between the two in relation to hypertension risk has been poorly studied. The obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f07b20b6caf7405749847f4cf9b33075
https://pubmed.ncbi.nlm.nih.gov/33846928
https://pubmed.ncbi.nlm.nih.gov/33846928
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 26:1323-1340
Based on analysis of Pawlak's rough set model in the view of single equivalence relation and the theory of fuzzy set, associated with multi-granulation rough set models proposed by Qian, two types of new rough set models are constructed, which are mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf4a1ced87d918f448a4741e91f72ab1
https://doi.org/10.3233/ifs-130818
https://doi.org/10.3233/ifs-130818
Publikováno v:
Soft Computing. 17:1241-1252
The original rough set model is primarily concerned with the approximations of sets described by a single equivalence relation on the universe. Some further investigations generalize the classical rough set model to rough set model based on a toleran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32c9cbb65ea927ca6db25f141a0c81ee
https://doi.org/10.1007/s00500-012-0979-1
https://doi.org/10.1007/s00500-012-0979-1
Publikováno v:
The Fourth International Workshop on Advanced Computational Intelligence.
Based on the analysis of rough set model on a tolerance relation and considering of the theory of fuzzy rough set, two types of new generalized fuzzy rough set models are constructed, which are multi-granulation fuzzy rough sets on tolerance relation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f75811aded357f7b27ae9ec6ece7674
https://doi.org/10.1109/iwaci.2011.6160031
https://doi.org/10.1109/iwaci.2011.6160031
Publikováno v:
FSKD
The extension of classical rough set model is a very hot and interesting topic. In this paper, our aim is to present the first type of graded rough set (FGRS) based on rough membership function. The concepts of k-regions, k-rough degree, etc., are pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9f9af74c19a8f50f705356d384d2687
https://doi.org/10.1109/fskd.2010.5569459
https://doi.org/10.1109/fskd.2010.5569459
Publikováno v:
2012 Fourth International Symposium on Information Science & Engineering; 2012, p299-302, 4p