Publications by authors named "Guibing He"

Background: Individuals with major depressive disorder (MDD) are usually observed making inappropriate risky decisions. However, whether and to what extent MDD is associated with impairments in risky decision-making remains unclear. We performed a three-level meta-analysis to explore the relationship between risky decision-making and MDD.

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Decision prediction based on neurophysiological signals is of great application value in many real-life situations, especially in human-AI collaboration or counteraction. Single-trial analysis of electroencephalogram (EEG) signals is a very valuable step in the development of an online decision-prediction system. However, previous EEG-based decision-prediction methods focused mainly on averaged EEG signals of all decision-making trials to predict an individual's general decision tendency (e.

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Most previous studies have shown that focusing on the future predicts higher subjective well-being (SWB), but some have reported contradictory results. Due to mixed findings on the relationship between time orientation (TO) and SWB, the present study attempted to clarify and reinterpret this relationship from a nonmonotonic perspective by analyzing two large-scale datasets from the European Social Survey (Study 1; 31 countries, total N = 88,873) and tested the cross-cultural generalizability of our findings in a Chinese sample (Study 2; N = 797). The results confirmed a nonmonotonic relationship between TO and SWB and first revealed a "Middle Valley Effect.

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The relationship between intertemporal and risky decision-making has received considerable attention in decision research. Single-process theories suggest that choices involving delay and risk are simply two manifestations of the same psychological mechanism, which implies similar patterns of neural activation. Conversely, the dual-system theory suggests that delayed and risky choices are two contrasting types of processes, which implies distinct brain networks.

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Background: To determine differences in endometrial cavity anteroposterior diameter, thickness, volume, and diameter lines of uterine body and thickness, and volume of upper, middle, and lower regions of the endometrium in infertile women using a new method for three-dimensional (3D) reconstruction based on two-dimensional (2D) ultrasound images.

Methods: This retrospective cross-sectional study included a total of 81 infertile women, who underwent 2D ultrasound standard examination. We created 3D models of the uterine body, endometrial cavity, and endometrium based on 2D ultrasound images.

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One of the interesting research questions in multi-attribute decision-making is what affects the consideration of shared information (i.e., common features) between two alternatives.

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Hemorrhagic shock (HS) is a medical emergency during trauma. Significant loss of tissue perfusion may result in cellular hypoxia, organ damage and death. The primary treatment of HS is control of the source of bleeding as soon as possible and fluid replacement (crystalloid solutions and blood transfusion).

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In this paper, we present an incentivized experiment to investigate the degree of loss aversion when people make decisions for their current selves and future selves under risk. We find that when participants make decisions for their future selves, they are less loss averse compared to when they make decisions for their current selves. This finding is consistent with the interpretation of loss aversion as a bias in decision-making driven by emotions, which are reduced when making decisions for future selves.

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Capital derived from immoral sources is increasingly circulated in today's financial markets. The moral associations of capital are important, although their impact on investment remains unknown. This research aims to explore the influence of principal source morality on investors' risk preferences.

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In this information age, messages related to time, and uncertainty surround us. At the same time, our daily lives are filled with decisions accompanied by temporal delay or uncertainty. Will such information influence our temporal and probabilistic discounting? The authors address this question from the perspectives of decision by sampling (DbS) theory and psychological distance theory.

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