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Shen He

Biographic Data

ID6854172
NAMEShen He
GIVEN NAMESShen
FAMILY NAMEHe
SIGNATUREHE S
AFFILIATIONSNingbo University
ORCID0000-0001-7282-316X
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR1996
LATEST PUBLICATION YEAR2025
H-INDEX0
  • A network-based approach to discover diagnostic metabolite markers associated with depressive features for major depressive disorder

    Open Access•Yuzhen Zheng, Duan Zeng et al.•ARTICLE•Frontiers in Psychiatry•2025

    https://clinicaltrials.gov/search?cond=NCT04518592

  • Statistical analysis of songs by composers of the Romantic era

    Open Access•Linlin Gao, He Shen et al.•ARTICLE•Música Hodie•2021

    The study investigates musical compositions via quantification using mathematical methods. The investigation is based on Franz Schubert's song cycle Die Winterreise, Robert Schumann's song cycle Myrthen, and on works by other composers. The study obtained p-value estimates for each quantity to assess its adequacy and probability of getting reliable result. The obtained p-values show probability of obtaining corresponding mean value of the investi…

  • Baseline Serum Levels of Beclin-1, but Not Inflammatory Factors, May Predict Antidepressant Treatment Response in Chinese Han Patients With MDD

    Open Access•He Shen, Shen He et al.•ARTICLE•Frontiers in Psychiatry•2019

    Currently, the choice of medical treatment for major depressive disorder (MDD) is primarily based on a trial-and-error process. Thus, identification of individual factors capable of predicting treatment response is of great clinical relevance. Recent work points towards beclin-1 and inflammatory factors as potential biomarkers of antidepressant treatment response. The primary aim of the study was to investigate whether pre-treatment serum levels …

  • Detection Study of Bipolar Depression Through the Application of a Model-Based Algorithm in Terms of Clinical Feature and Peripheral Biomarkers

    Open Access•Yanqun Zheng, He Shen et al.•ARTICLE•Frontiers in Psychiatry•2019

    Objectives: The nature of the diagnostic classification of mood disorder is a typical dichotomous data problem and the method of combining different dimensions of evidences to make judgments might be more statistically reliable. In this paper, we aimed to explore whether peripheral neurotrophic factors could be helpful for early detection of bipolar depression. Methods: A screening method combining peripheral biomarkers and clinical characteristi…

  • Even the Cleverest Housewife Cannot Cook a Meal without Rice

    Open Access•He Shen, Shen He•ARTICLE•Chinese Education & Society•1996

    From our correspondent: "Everyone talks about energetically developing rural education, but how are we to operate schools when we have no money?" Whenever this subject is broached, animated discussions break out among the representatives now in Beijing to participate in the Third National Congress of Trade Unions in Education. They strongly call on the relevant departments to adopt measures as quickly as possible to improve conditions for operati…

No prominent works on this page.

  • Even the Cleverest Housewife Cannot Cook a Meal without Rice

    Open Access•He Shen, Shen He•ARTICLE•Chinese Education & Society•1996

    From our correspondent: "Everyone talks about energetically developing rural education, but how are we to operate schools when we have no money?" Whenever this subject is broached, animated discussions break out among the representatives now in Beijing to participate in the Third National Congress of Trade Unions in Education. They strongly call on the relevant departments to adopt measures as quickly as possible to improve conditions for operati…

  • Baseline Serum Levels of Beclin-1, but Not Inflammatory Factors, May Predict Antidepressant Treatment Response in Chinese Han Patients With MDD

    Open Access•He Shen, Shen He et al.•ARTICLE•Frontiers in Psychiatry•2019

    Currently, the choice of medical treatment for major depressive disorder (MDD) is primarily based on a trial-and-error process. Thus, identification of individual factors capable of predicting treatment response is of great clinical relevance. Recent work points towards beclin-1 and inflammatory factors as potential biomarkers of antidepressant treatment response. The primary aim of the study was to investigate whether pre-treatment serum levels …

  • Detection Study of Bipolar Depression Through the Application of a Model-Based Algorithm in Terms of Clinical Feature and Peripheral Biomarkers

    Open Access•Yanqun Zheng, He Shen et al.•ARTICLE•Frontiers in Psychiatry•2019

    Objectives: The nature of the diagnostic classification of mood disorder is a typical dichotomous data problem and the method of combining different dimensions of evidences to make judgments might be more statistically reliable. In this paper, we aimed to explore whether peripheral neurotrophic factors could be helpful for early detection of bipolar depression. Methods: A screening method combining peripheral biomarkers and clinical characteristi…

  • Statistical analysis of songs by composers of the Romantic era

    Open Access•Linlin Gao, He Shen et al.•ARTICLE•Música Hodie•2021

    The study investigates musical compositions via quantification using mathematical methods. The investigation is based on Franz Schubert's song cycle Die Winterreise, Robert Schumann's song cycle Myrthen, and on works by other composers. The study obtained p-value estimates for each quantity to assess its adequacy and probability of getting reliable result. The obtained p-values show probability of obtaining corresponding mean value of the investi…

  • A network-based approach to discover diagnostic metabolite markers associated with depressive features for major depressive disorder

    Open Access•Yuzhen Zheng, Duan Zeng et al.•ARTICLE•Frontiers in Psychiatry•2025

    https://clinicaltrials.gov/search?cond=NCT04518592

Major depressive disorder (3 works) · Psychiatry (3 works) · Biology (2 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works) · Cognition (2 works) · Computer Science (2 works) · Depression (economics (2 works) · Depressive symptoms (2 works) · Internal Medicine (2 works)

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