Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Peiwen Guang"'
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Akademický článek
Early Diagnosis of Type 2 Diabetes Based on Near-Infrared Spectroscopy Combined With Machine Learning and Aquaphotomics
Autor: Yuanpeng Li, Liu Guo, Li Li, Chuanmei Yang, Peiwen Guang, Furong Huang, Zhenqiang Chen, Lihu Wang, Junhui Hu
Publikováno v: Frontiers in Chemistry, Vol 8 (2020)
Early diagnosis is important to reduce the incidence and mortality rate of diabetes. The feasibility of early diagnosis of diabetes was studied via near-infrared spectra (NIRS) combined with a support vector machine (SVM) and aquaphotomics. Firstly,
Externí odkaz: https://doaj.org/article/fe480c0950724defa26858a3715d66be
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3
Detection of Aflatoxin B1 in Peanut Oil Using Attenuated Total Reflection Fourier Transform Infrared Spectroscopy Combined with Partial Least Squares Discriminant Analysis and Support Vector Machine Models
Autor: Peiwen Guang, Han Song, Huanyu Pan, Xinhao Yang, Feng Li, Furong Huang
Publikováno v: Journal of food protection. 84(8)
This study was conducted to establish a rapid and accurate method for identifying aflatoxin contamination in peanut oil. Attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy combined with either partial least squares discrim
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::766dd1c7553ea9c9d52e8dc0d450ea95
https://pubmed.ncbi.nlm.nih.gov/33710323
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4
Blood-based FTIR-ATR spectroscopy coupled with extreme gradient boosting for the diagnosis of type 2 diabetes: A STARD compliant diagnosis research
Autor: Liu Guo, Furong Huang, Peiwen Guang, Wendong Huang, Maoxun Yang, Wangrong Wen, Xinhao Yang, Li Li
Publikováno v: Medicine
Timely diagnosis of type 2 diabetes and early intervention and treatment of it are important for controlling metabolic disorders, delaying and reducing complications, reducing mortality, and improving quality of life. Type 2 diabetes was diagnosed by
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e4c6d553cd7d338b293ad585efb38a8
https://pubmed.ncbi.nlm.nih.gov/32282717
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5
Early rapid diagnosis of Alzheimer’s disease based on fusion of near- and mid-infrared spectral features combined with PLS-DA
Autor: Yuanpeng Li, Lihu Wang, Li Li, Junhui Hu, Chuanmei Yang, Peiwen Guang, Han Song, Furong Huang
Publikováno v: Optik. 241:166485
To investigate the feasibility of using spectral feature fusion technology to diagnose Alzheimer’s disease (AD), near-infrared (NIR) and mid-infrared (MIR) spectra were collected on 265 serum samples from healthy individuals and Alzheimer’s disea
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::204b69d5ca77074768b0dab96bced3eb
https://doi.org/10.1016/j.ijleo.2021.166485
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6
Detection of adulteration in Chinese honey using NIR and ATR-FTIR spectral data fusion
Autor: Han Song, Xinhao Yang, Hongxia Zhao, Liu Guo, Furong Huang, Liqun Li, Peiwen Guang, Maoxun Yang
Publikováno v: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. 235
The aim of this study is to find a fast, accurate, and effective method for the detection of adulteration in honey circulating in the market. Near-infrared spectroscopy and mid-infrared spectroscopy data on natural honey and syrup-adulterated honey w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bd68b1cf650c9f3bd27148c9465e89b
https://pubmed.ncbi.nlm.nih.gov/32248033
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8
AML, ALL, and CML classification and diagnosis based on bone marrow cell morphology combined with convolutional neural network
Autor: Wendong Huang, Xuewen Liu, Furong Huang, Weimin Zhang, Fucui Li, Peiwen Guang
Publikováno v: Medicine. 99:e23154
Leukemia diagnosis based on bone marrow cell morphology primarily relies on the manual microscopy of bone marrow smears. However, this method is greatly affected by subjective factors and tends to lead to misdiagnosis. This study proposes using bone
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::49b0f3f566c0ded0366578b63538ba65
https://doi.org/10.1097/md.0000000000023154
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9
Manuka honey adulteration detection based on near-infrared spectroscopy combined with aquaphotomics
Autor: Guoze Xu, Furong Huang, Siqi Zhu, Xinhao Yang, Peiwen Guang, Zhenqiang Chen
Publikováno v: LWT. 132:109837
The syrup-blended adulteration of Manuka honey was detected using near-infrared (NIR) spectroscopy combined with aquaphotomics. Manuka honey was adulterated with five different syrups (corn syrup, sucrose syrup, high fructose corn syrup, beet syrup,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::052e3c3d5df8cc4ee975898cdf6dbf28
https://doi.org/10.1016/j.lwt.2020.109837
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