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Junyu He

Datos Biográficos

ID7048909
NOMBREJunyu He
NOMBRESJunyu
APELLIDOHe
FIRMAHE J
AFILIACIONESZhejiang Ocean University
ORCID0000-0003-1873-3125
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2013
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • Effect of ambient temperature and other environmental factors on stroke emergency department visits in Beijing

    Open Access•Jinhua Zhao, Yongming Zhang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Most studies have focused on the relationship between ambient temperature and stroke mortality, but studies on the relationship between ambient temperature and stroke occurrence are still limited and inconsistent. Objective: This study aimed to analyze the effect of ambient temperature and other environmental factors on emergency stroke visits in Beijing. Methods: Our study utilized stroke visit data from the Beijing Red Cross Emergen…

  • Probabilistic prediction of algal blooms from basic water quality parameters by Bayesian scale-mixture of skew-normal model

    Open Access•Muyuan Liu, Jing Hu et al.•ARTICLE•Environmental Research Letters•2022

    The timeliness of monitoring is essential to algal bloom management. However, acquiring algal bio-indicators can be time-consuming and laborious, and bloom biomass data often contain a large proportion of extreme values limiting the predictive models. Therefore, to predict algal blooms from readily water quality parameters (i.e. dissolved oxygen, pH, etc), and to provide a novel solution to the modeling challenges raised by the extremely distribu…

  • Study on optimisation of extraction process of Tanshinone IIA and its mechanism of induction of gastric cancer SGC7901 cellapoptosis

    Open Access•Juan Hou, Junyu He et al.•ARTICLE•African Journal of Traditional…•2013

    The objective of this paper was to investigate the extraction process of tanshinone IIA and its mechanism of induction of gastric cancer SGC7901 cell apoptosis. Extraction process of tanshinone IIA was optimised by orthogonal experimental method, and its effect on gastric cancer SGC7901 cell apoptosis was observed using MTT assay and electron microscopy. The optimum extraction process of tanshinone IIA was as follows: addition of a 10-fold amount…

Sin obras prominentes en esta página.

  • Study on optimisation of extraction process of Tanshinone IIA and its mechanism of induction of gastric cancer SGC7901 cellapoptosis

    Open Access•Juan Hou, Junyu He et al.•ARTICLE•African Journal of Traditional…•2013

    The objective of this paper was to investigate the extraction process of tanshinone IIA and its mechanism of induction of gastric cancer SGC7901 cell apoptosis. Extraction process of tanshinone IIA was optimised by orthogonal experimental method, and its effect on gastric cancer SGC7901 cell apoptosis was observed using MTT assay and electron microscopy. The optimum extraction process of tanshinone IIA was as follows: addition of a 10-fold amount…

  • Effect of ambient temperature and other environmental factors on stroke emergency department visits in Beijing

    Open Access•Jinhua Zhao, Yongming Zhang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Most studies have focused on the relationship between ambient temperature and stroke mortality, but studies on the relationship between ambient temperature and stroke occurrence are still limited and inconsistent. Objective: This study aimed to analyze the effect of ambient temperature and other environmental factors on emergency stroke visits in Beijing. Methods: Our study utilized stroke visit data from the Beijing Red Cross Emergen…

  • Probabilistic prediction of algal blooms from basic water quality parameters by Bayesian scale-mixture of skew-normal model

    Open Access•Muyuan Liu, Jing Hu et al.•ARTICLE•Environmental Research Letters•2022

    The timeliness of monitoring is essential to algal bloom management. However, acquiring algal bio-indicators can be time-consuming and laborious, and bloom biomass data often contain a large proportion of extreme values limiting the predictive models. Therefore, to predict algal blooms from readily water quality parameters (i.e. dissolved oxygen, pH, etc), and to provide a novel solution to the modeling challenges raised by the extremely distribu…

Biology (2 obras) · Computer Science (2 obras) · Internal Medicine (2 obras) · Mathematics (2 obras) · Medicine (2 obras) · Statistics (2 obras) · Algal bloom (1 obras) · Apoptosis (1 obras) · Artificial Intelligence (1 obras) · Bayesian network (1 obras)

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