Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bihong, Liu"'
Publikováno v:
Diversity, Vol 16, Iss 2, p 100 (2024)
In order to investigate the effects of various nitrogen (ammonium) concentrations on the epibiotic bacterial community associated with Oocystis borgei, a metabarcoding sequencing method was employed. The 16S rDNA sequencing and bioinformatic analysis
Externí odkaz:
https://doaj.org/article/369106d85e5e4b02bb55c6d5ee889abd
Autor:
Junfang Zhang, Bai Qin, Bihong Liu, Dajun Sun, Congkai Liang, Shiyi Wang, Mei Yang, Rongrong Zhu
Publikováno v:
International ophthalmology.
Purpose: To investigate the pterygium prevalence and evaluate risk factors of pterygium in rural community-based type 2 diabetic (D2M) patients aged 50 years and above in Funing Country, Jiangsu Province, China. Methods A cross-sectional ophthalmic s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c12494c61aae4132c3d2daeea972adcf
https://pubmed.ncbi.nlm.nih.gov/35947253
https://pubmed.ncbi.nlm.nih.gov/35947253
Autor:
Rongrong, Zhu, Jian, Shi, Mei, Yang, Linjuan, Jiang, Hong, Jiang, Congkai, Liang, Bihong, Liu, Yingxiang, Qi, Huaijin, Guan
Publikováno v:
[Zhonghua yan ke za zhi] Chinese journal of ophthalmology. 51(7)
The purpose of the study is to determine the prevalence of appositional angle closure in persons aged 50 or above in Funing County.Cluster sampling randomly selected residents in Funing County aged 50 years or above. From March to May 2010, 484 eyes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7f81f20e60077612cd5d4666eb911f2b
https://pubmed.ncbi.nlm.nih.gov/26310250
https://pubmed.ncbi.nlm.nih.gov/26310250
Autor:
Mei, Yang, Shu, Su, Jing, Zhou, Rongrong, Zhu, Bai, Qin, Ling, Yang, Junfang, Zhang, Jian, Shi, Congkai, Liang, Bihong, Liu, Yingxiang, Qi, Huaijin, Guan
Publikováno v:
Zhonghua yi xue za zhi. 94(15)
To investigate the interaction between polymorphisms and environment factors in age related cataract (ARC).Population-based case-control study. All of 448 cataract cases were selected from cataract eye database and 248 controls were recruited from Fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ce26ceb58ea238dde6ece63c87b3cbc3
https://pubmed.ncbi.nlm.nih.gov/24924712
https://pubmed.ncbi.nlm.nih.gov/24924712
Publikováno v:
Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).
An effective and efficient algorithm was proposed to estimate the profits of the sales in prices promotion for retailing and other business applications based on the historical transactions data. It predicts the changing of each customer's purchase u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dad7fd48a013d63df1fcc76af3560e4
https://doi.org/10.1109/icmlc.2004.1382362
https://doi.org/10.1109/icmlc.2004.1382362
Publikováno v:
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).
An algorithm was proposed to rank items with respect to profits and to select the most profitable ones for business and other applications by analyzing historical transaction data sets. The decision of maximal-profit items subset considers both the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d20c43b380d8c90e88fa1eb802cc473d
https://doi.org/10.1109/wcica.2004.1342313
https://doi.org/10.1109/wcica.2004.1342313
Publikováno v:
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).
A classic yet challenging research topic, Gaussian mixture density modeling and decomposition, is attracting much attention in a variety of disciplines. A Gaussian mixture density can be viewed as a contaminated Gaussian density with respect to each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b60f85b281c8e87de2b6a2906c762c72
https://doi.org/10.1109/wcica.2004.1342311
https://doi.org/10.1109/wcica.2004.1342311
Publikováno v:
Computational and Information Science ISBN: 9783540241270
CIS
CIS
Gaussian mixture density decomposition (GMDD) algorithm is an approach to the modeling and decomposition of Gaussian mixtures, and it performs well with the least prior knowledge in most case. However, there are still some special cases in which the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc1005c17b7e0548e0486347cd19e046
https://doi.org/10.1007/978-3-540-30497-5_156
https://doi.org/10.1007/978-3-540-30497-5_156
Publikováno v:
Computational & Information Science; 2004, p1014-1019, 6p
Publikováno v:
Fifth World Congress on Intelligent Control & Automation (IEEE Cat. No.04EX788); 2004, p4245-4245, 1p