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ETHNOS_APP

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Keming Yun

Dados Biográficos

ID6937037
NOMEKeming Yun
PRENOMESKeming
SOBRENOMEYun
ASSINATURAYUN K
AFILIAÇÕESShanxi Medical University
ORCID0000-0001-5934-4164
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0
  • Combined metabolomics and tandem machine-learning models for wound age estimation

    Open Access•Jie Cao, Guoshuai An et al.•ARTICLE•Forensic Sciences Research•2023

    The changes of metabolite profile were correlated with the time interval after injury in contused skeletal muscle.A panel of 43 endogenous metabolites screened by ultraperformance liquid chromatography coupled with high-resolution mass spectrometry could distinguish the wound ages.The multilayer perceptron (MLP) algorithm exhibited a robust performance in wound age estimation using metabolites.The combination of matabolomics and MLP-MLP tandem mo…

  • How to sample a seizure plant

    Open Access•Jiaman Lin, Keming Yun et al.•ARTICLE•Forensic Sciences Research•2023•Referências: 1

    An accurate in situ MSI method for fresh water-rich succulent plants was obtained based on multi-parameter comparative experiments.Spatial imaging analysis of mescaline in Lophophora williamsii was performed using the above method.Based on the above results and previous results, a sampling proposal for forensic medicine practice is tentatively proposed

  • Mapping the structure of depression biomarker research

    Open Access•Xiang-jie Guo, Xiangjie Guo et al.•ARTICLE•Frontiers in Psychiatry•2022

    This study used bibliometric methods to characterize the body of literature and subject knowledge in the field of depression biomarker research. Among the core biomarkers of depression, functional magnetic resonance imaging (fMRI), cytokines, and oxidative stress are relatively well established; however, research on machine learning, metabolomics, and microRNAs holds potential for future development. We found "microRNAs" and "gut microbiota" to b…

  • Estimation of the Frequency and Time of Human Exposure to Arsenic by Single Hair Analysis

    Open Access•Bing Li, Weicong Xu et al.•ARTICLE•International Journal of…•2022

    Arsenic (As) and its compounds are widely used in many applications. Long-term exposure to As can cause acute and chronic poisoning. In severe cases, it can lead to adverse effects, such as gene mutation, cell cancer and fetal malformation. The objective of this study was to accurately estimate As exposure frequency and time. Quantitative analysis of As in single hairs obtained from APL (acute promyelocytic leukemia) patients treated with As 2 O …

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  • Mapping the structure of depression biomarker research

    Open Access•Xiang-jie Guo, Xiangjie Guo et al.•ARTICLE•Frontiers in Psychiatry•2022

    This study used bibliometric methods to characterize the body of literature and subject knowledge in the field of depression biomarker research. Among the core biomarkers of depression, functional magnetic resonance imaging (fMRI), cytokines, and oxidative stress are relatively well established; however, research on machine learning, metabolomics, and microRNAs holds potential for future development. We found "microRNAs" and "gut microbiota" to b…

  • Estimation of the Frequency and Time of Human Exposure to Arsenic by Single Hair Analysis

    Open Access•Bing Li, Weicong Xu et al.•ARTICLE•International Journal of…•2022

    Arsenic (As) and its compounds are widely used in many applications. Long-term exposure to As can cause acute and chronic poisoning. In severe cases, it can lead to adverse effects, such as gene mutation, cell cancer and fetal malformation. The objective of this study was to accurately estimate As exposure frequency and time. Quantitative analysis of As in single hairs obtained from APL (acute promyelocytic leukemia) patients treated with As 2 O …

  • Combined metabolomics and tandem machine-learning models for wound age estimation

    Open Access•Jie Cao, Guoshuai An et al.•ARTICLE•Forensic Sciences Research•2023

    The changes of metabolite profile were correlated with the time interval after injury in contused skeletal muscle.A panel of 43 endogenous metabolites screened by ultraperformance liquid chromatography coupled with high-resolution mass spectrometry could distinguish the wound ages.The multilayer perceptron (MLP) algorithm exhibited a robust performance in wound age estimation using metabolites.The combination of matabolomics and MLP-MLP tandem mo…

  • How to sample a seizure plant

    Open Access•Jiaman Lin, Keming Yun et al.•ARTICLE•Forensic Sciences Research•2023•Referências: 1

    An accurate in situ MSI method for fresh water-rich succulent plants was obtained based on multi-parameter comparative experiments.Spatial imaging analysis of mescaline in Lophophora williamsii was performed using the above method.Based on the above results and previous results, a sampling proposal for forensic medicine practice is tentatively proposed

Biology (4 obras) · Chemistry (3 obras) · Computer Science (3 obras) · Medicine (3 obras) · Chromatography (2 obras) · Mass spectrometry (2 obras) · Acute promyelocytic leukemia (1 obras) · Analytical Chemistry and Chromatography (1 obras) · Arsenic (1 obras) · Artificial Intelligence (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae