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Fengbo GUO

Biographic Data

ID8916882
NAMEFengbo GUO
GIVEN NAMESFengbo
FAMILY NAMEGUO
SIGNATUREGUO F
AFFILIATIONSNingbo University
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Research on real-time detection and staging technology for pressure injuries in critically ill patients based on the Yolov8 deep learning model

    Open Access•Fengbo GUO, Ningbo Cao et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Aiming to address the clinical challenges of high incidence rates of pressure injuries (PIs) in critically ill patients and the subjectivity and inefficiency of traditional assessment methods, this study developed a real-time detection and staging technology based on the YOLOv8 deep learning model. This technology enables rapid and objective staging of PIs, aiming to overcome the limitations of current manual assessments and provide s…

  • How psychopathic traits affect individuals’ trust decisions and outcome evaluations

    Open Access•Feng Guo, Fengbo GUO et al.•ARTICLE•BMC Psychology•2025

    Individuals with psychopathic traits exhibit a range of maladaptive manifestations, including self-centeredness, interpersonal manipulation, and decline to cooperate. Such individuals may have an antagonistic relationship with trust, which may, in turn, affect their behavioral choices. However, it remains unclear how individuals with psychopathic traits make decisions about trusting strangers. To address this gap, 44 healthy participants were sel…

  • Narcissistic personality modulates outcome evaluation in the trust game

    Yiwen Wang, Chao Fu et al.•ARTICLE•Acta Psychologica Sinica•2017

    摘要: 自恋人格个体表现出亲社会行为的减少和对他人的反馈敏感。信任是人类社会互动行为的基础, 自恋人格特质可能影响他们的信任决策。为了探究自恋水平如何影响信任博弈中结果评价的大脑活动, 本研究采用事件相关电位技术记录了38名被试完成单次信任博弈时的脑电波。行为结果发现相对高自恋者的信任选择率显著低于相对低自恋者的信任选择率。脑电结果表明, 相对高自恋者信任损失反馈减互惠获利反馈所得的FRN差异波(dFRN)显著地大于相对低自恋者, 并且相对高自恋者结果评价诱发的P300波幅显著地大于相对低自恋者。本研究提供了自恋人格个体信任博弈中结果评价的初步神经电生理学证据

  • Interpersonal distance influences on pain empathy

    Juan Song, Fengbo GUO et al.•ARTICLE•Acta Psychologica Sinica•2016

    摘要

  • The Decision-making and Outcome Evaluation during a Repeated Trust Game

    Yiwen Wang, Zhen Zhang et al.•ARTICLE•Acta Psychologica Sinica•2015

    摘要

  • Group Membership Modulates The Recipient's Fairness Consideration in Ultimatum Game

    Yiwen Wang, Zhen Zhang et al.•ARTICLE•Acta Psychologica Sinica•2014

    摘要

No prominent works on this page.

  • Group Membership Modulates The Recipient's Fairness Consideration in Ultimatum Game

    Yiwen Wang, Zhen Zhang et al.•ARTICLE•Acta Psychologica Sinica•2014

    摘要

  • The Decision-making and Outcome Evaluation during a Repeated Trust Game

    Yiwen Wang, Zhen Zhang et al.•ARTICLE•Acta Psychologica Sinica•2015

    摘要

  • Interpersonal distance influences on pain empathy

    Juan Song, Fengbo GUO et al.•ARTICLE•Acta Psychologica Sinica•2016

    摘要

  • Narcissistic personality modulates outcome evaluation in the trust game

    Yiwen Wang, Chao Fu et al.•ARTICLE•Acta Psychologica Sinica•2017

    摘要: 自恋人格个体表现出亲社会行为的减少和对他人的反馈敏感。信任是人类社会互动行为的基础, 自恋人格特质可能影响他们的信任决策。为了探究自恋水平如何影响信任博弈中结果评价的大脑活动, 本研究采用事件相关电位技术记录了38名被试完成单次信任博弈时的脑电波。行为结果发现相对高自恋者的信任选择率显著低于相对低自恋者的信任选择率。脑电结果表明, 相对高自恋者信任损失反馈减互惠获利反馈所得的FRN差异波(dFRN)显著地大于相对低自恋者, 并且相对高自恋者结果评价诱发的P300波幅显著地大于相对低自恋者。本研究提供了自恋人格个体信任博弈中结果评价的初步神经电生理学证据

  • How psychopathic traits affect individuals’ trust decisions and outcome evaluations

    Open Access•Feng Guo, Fengbo GUO et al.•ARTICLE•BMC Psychology•2025

    Individuals with psychopathic traits exhibit a range of maladaptive manifestations, including self-centeredness, interpersonal manipulation, and decline to cooperate. Such individuals may have an antagonistic relationship with trust, which may, in turn, affect their behavioral choices. However, it remains unclear how individuals with psychopathic traits make decisions about trusting strangers. To address this gap, 44 healthy participants were sel…

  • Research on real-time detection and staging technology for pressure injuries in critically ill patients based on the Yolov8 deep learning model

    Open Access•Fengbo GUO, Ningbo Cao et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Aiming to address the clinical challenges of high incidence rates of pressure injuries (PIs) in critically ill patients and the subjectivity and inefficiency of traditional assessment methods, this study developed a real-time detection and staging technology based on the YOLOv8 deep learning model. This technology enables rapid and objective staging of PIs, aiming to overcome the limitations of current manual assessments and provide s…

Psychology (5 works) · Social Psychology (5 works) · Computer Science (2 works) · Economics (2 works) · Mathematical economics (2 works) · Microeconomics (2 works) · Affect (linguistics (1 work) · Biology (1 work) · Chemistry (1 work) · Critically ill (1 work)

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