Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Zeting, Li"'
Autor:
Zeting Li, Ling Pei, Huangmeng Xiao, Nan Chen, Fenghua Lai, Shufang Yue, Changliu Xu, Yanbing Li, Haipeng Xiao, Xiaopei Cao
Publikováno v:
Endocrine Connections, Vol 13, Iss 11, Pp 1-12 (2024)
Glucose-like peptide-1 (GLP-1) is a vital hormone in the intestines that regulates glucose metabolism. Although pancreatic-derived factor (PANDER) overexpression is known to suppress GLP-1, the underlying mechanisms are unclear. Our study aims to unc
Externí odkaz:
https://doaj.org/article/57e0695ccea04edabe3a3b28458a98d9
Publikováno v:
Reproductive Biology and Endocrinology, Vol 22, Iss 1, Pp 1-9 (2024)
Abstract Background Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder associated with infertility and pregnancy complications. The pathogenesis of PCOS and its impact on reproductive function may be influenced by the source of androg
Externí odkaz:
https://doaj.org/article/a99a09745a8347648c7872b55e92ec7d
Autor:
Payam Sajadi, Mehdi Gholamnia, Stefania Bonafoni, Gerald Mills, Yan-Fang Sang, Zeting Li, Salman Khan, Jiazheng Han, Francesco Pilla
Publikováno v:
IEEE Access, Vol 12, Pp 82560-82583 (2024)
Conventional urbanization transforms natural into paved landscapes, posing a significant environmental challenge. Detecting the changes in (im)pervious surfaces in cities, where patches are small and intermingled, is particularly challenging. This st
Externí odkaz:
https://doaj.org/article/b12a81ec1f0547898611dd94a4b6358c
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 18, Iss 1, Pp 1-11 (2023)
Abstract Osteoporotic fractures impose a substantial burden on patients with diabetes due to their unique characteristics in bone metabolism, limiting the efficacy of conventional fracture prediction tools. Artificial intelligence (AI) algorithms hav
Externí odkaz:
https://doaj.org/article/7c54411fdd99404cae378ae8ee0b0919
Autor:
Shufan Yue, Ling Pei, Fenghua Lai, Huangmeng Xiao, Zeting Li, Rui Zeng, Li Chen, Wenzhan Chen, Huiling Liu, Yanbing Li, Haipeng Xiao, Xiaopei Cao
Publikováno v:
BMC Pregnancy and Childbirth, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Gestational diabetes mellitus (GDM) affects the metabolism of both the mother and fetus during and after pregnancy. Genetic factors are important in the pathogenesis of GDM, and associations vary by ethnicity. However, related stu
Externí odkaz:
https://doaj.org/article/9fc8ce92e3c2424a861d927ff451a611
Autor:
Fenghua Lai, Zeting Li, Shufan Yue, Ling Pei, Huangmeng Xiao, Zhuyu Li, Yanbing Li, Haipeng Xiao, Xiaopei Cao
Publikováno v:
Lipids in Health and Disease, Vol 20, Iss 1, Pp 1-9 (2021)
Abstract Background It is unknown whether early postpartum abnormal glucose metabolism (AGM) in women with previous gestational diabetes mellitus (GDM) is related to their mid-trimester lipid profile. The aim of this study was to characterize the mid
Externí odkaz:
https://doaj.org/article/32e9646460b5454aa40372b7f7597552
Autor:
Ling Pei, Huangmeng Xiao, Fenghua Lai, Zeting Li, Zhuyu Li, Shufan Yue, Haitian Chen, Yanbing Li, Xiaopei Cao
Publikováno v:
Lipids in Health and Disease, Vol 19, Iss 1, Pp 1-8 (2020)
Abstract Background This study aimed to analyze the incidence of early postpartum dyslipidemia and its potential predictors in women with a history of gestational diabetes mellitus (GDM). Methods This was a retrospective study. Five hundred eighty-ni
Externí odkaz:
https://doaj.org/article/979344353d6d42da94c1adf2e9c79bad
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 889 (2023)
The second Chinese ocean dynamic environment satellite Haiyang-2B (HY-2B), carrying a scanning microwave radiometer (SMR) to provide information on the ocean and atmosphere, was successfully launched on 25 October 2018. Before the data assimilation,
Externí odkaz:
https://doaj.org/article/df7e243ebda34f5a8bcb4ea4da6e050e
Publikováno v:
World Wide Web. 26:637-660
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ede217c1358f691821af1654661c5096
https://doi.org/10.1007/s11280-022-01102-6
https://doi.org/10.1007/s11280-022-01102-6
Publikováno v:
International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95a6a2130926209d8c7201d1a1e85eb7
https://doi.org/10.1117/12.2678962
https://doi.org/10.1117/12.2678962