Peiwei Liu

ORCID: 0000-0003-2660-1106
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About
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Research Areas
  • Perfectionism, Procrastination, Anxiety Studies
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Remote Sensing in Agriculture
  • Neuroendocrine regulation and behavior
  • Evolutionary Psychology and Human Behavior
  • Species Distribution and Climate Change
  • Functional Brain Connectivity Studies
  • Decision-Making and Behavioral Economics
  • Neural and Behavioral Psychology Studies
  • Mind wandering and attention
  • Maternal Mental Health During Pregnancy and Postpartum
  • Neuroscience of respiration and sleep
  • Advanced Neuroimaging Techniques and Applications
  • Mental Health Research Topics
  • Remote Sensing and LiDAR Applications
  • Behavioral Health and Interventions
  • Attachment and Relationship Dynamics
  • Electromagnetic Compatibility and Noise Suppression
  • Inertial Sensor and Navigation
  • Innovative Human-Technology Interaction
  • Electric Power System Optimization
  • Psychological and Temporal Perspectives Research
  • Aging and Gerontology Research
  • Human-Animal Interaction Studies
  • Privacy, Security, and Data Protection

University of Florida
2019-2024

Southwest Forestry University
2021-2024

Southwest University
2017-2018

Changchun University of Technology
2010

University of Electronic Science and Technology of China
2010

North China Electric Power University
2008

Abstract Globally, about 17% individuals are suffering from the maladaptive procrastination until now, which impacts individual’s financial status, mental health, and even public policy. However, comprehensive understanding of neuroanatomical understructure still remains gap. 688 participants including 3 independent samples were recruited for this study. Brain morphological dynamics referred to idiosyncrasies both brain size shape. Multilinear regression analysis was utilized delineate in...

10.1093/cercor/bhz278 article EN Cerebral Cortex 2019-10-18

Background Neural connectome theory has been widely used in system neuroscience, and prompted our comprehension for the topological organizations of human cerebral cortex. However, how functional is organized topologically cerebellums remains unclear. Method Resting-state connectivity (rs-fcMRI) data were acquired from 1416 healthy adults two independent samples. In Sample 1 (n = 976), both voxel-wise node-wise properties cerebellar estimated. Moreover, network-based cerebellum...

10.1016/j.neuroimage.2022.119015 article EN cc-by-nc-nd NeuroImage 2022-02-19

The study examined how executive function (EF) training could improve children's emotional competence (EC). Children (N = 55; Mage 50.64 months) were assigned into two groups, namely the EF group and no-training group. present attempted to use a 2 (group: VS no-training) × (test time: pretest post-test) between-and- within-subjects experimental design investigate effect of on improvement EC for 4-year-old children. Results showed that, (1) children in had significantly higher scores than...

10.3389/fpsyg.2020.00347 article EN cc-by Frontiers in Psychology 2020-03-10

Age-related differences in cognition and socioemotional functions, associated brain regions, may reduce sensitivity to cues of untrustworthiness, with effects on trust-related decision making trusting behavior. This study examined age-group activity behavior during a trust game. In this game, participants received breach-of-trust feedback after half the trials. The indicated that only 50% monetary investment into their fellow players had resulted returns. also explored intranasal oxytocin...

10.1037/pag0000545 article EN Psychology and Aging 2021-02-01

The amygdala has been shown to be responsive face trustworthiness. While older adults typically give higher trustworthiness ratings than young adults, a direct link between response and age-related differences in evaluation not yet confirmed. Additionally, there is possible modulatory role of the neuropeptide oxytocin evaluation, but results are mixed effects unexplored aging. To address these research gaps, young, were randomly assigned or placebo self-administration via nasal spray before...

10.3389/fpsyg.2022.838642 article EN cc-by Frontiers in Psychology 2022-06-23

Delay discounting, an indicator of impulsivity, refers to the extent devaluing future rewards. Studies have found that individuals with trait anxiety generally depreciate later larger rewards, showing steeper delay discounting rates. However, little is known about neural substrates responsible for how affects individuals' discounting. To address this question, we employed voxel-based morphometry (VBM) and resting-state functional connectivity (RSFC) methods explore Behavioral results showed...

10.1111/psyp.13495 article EN Psychophysiology 2019-10-23

Time frees people from bereavement, but also fades childhood happiness, these dynamics can be understood through the framework of past temporal discounting (PTD), which refers to gradual decrease in affect intensity elicited by recalling positive or negative events over time. Despite its importance, measuring PTD has been challenging, and impact on real-life outcomes, such as mental health remains unknown. Here, we employed a longitudinal tracking approach measure healthy participants (N =...

10.1016/j.ijchp.2024.100453 article EN cc-by International Journal of Clinical and Health Psychology 2024-03-03

Abstract More than 15% of adults suffer from pathological procrastination, which leads to substantial harm their mental and psychiatric health. Our previous work demonstrated the role three neuroanatomical networks as neural substrates but potential interaction remains unknown. Three large‐scale independent samples (total n = 901) were recruited. In sample A, tract‐based spatial statistics (TBSS) connectome‐based graph‐theoretical analysis was conducted probe association between topological...

10.1111/psyp.13782 article EN Psychophysiology 2021-02-14

The classification of dominant tree species holds significant practical importance in forest resource management and ecological research. However, vast mountainous regions, the identification faces challenges, machine learning methods often require manual feature selection. Hence, this study leverages Google Earth Engine (GEE) cloud computing platform, combining transfer deep learning. Using Sentinel-2 satellite imagery data from Second National Forest Inventory, three algorithms RESNET34,...

10.1117/12.3020901 article EN 2024-01-19

Selective attention declines with age, due to age-related functional changes in dorsal anterior cingulate cortex (dACC). Real-time magnetic resonance imaging (rtfMRI) neurofeedback has been used young adults train volitional control of brain activity, including dACC.

10.3390/brainsci14090931 article EN cc-by Brain Sciences 2024-09-18

This paper introduces a game-based framework to compare the usability of authentication methods. The uses dual-task interference technique determine In experiment, subjects participate in multi-tasking game that simulates conversation being interrupted by requirements. By simulating conversation, goal is reproduce real use authentication, and collect ecologically sound data. Participants also perform each method standalone manner, which allows for comparison under two different cognitive...

10.1109/hsi47298.2019.8942611 article EN 2019-06-01

Trees are vital to the quality of urban ecological environment. It can improve air, absorb and reduce carbon dioxide alleviate heat islands. Previous studies that employ multi-spectral imagery have already evaluated different classification algorithms identify tree species. But often researches were conducted on small areas a single image scene. In this study, study area (Diqing Tibetan Autonomous Prefecture) covered by 73.95&#x0025; forests, which approximately 18000 km<sup>2</sup>. Based...

10.1109/hpcc-dss-smartcity-dependsys53884.2021.00258 article EN 2021-12-01

Forests play an indispensable role in the terrestrial biosphere by maintaining global carbon cycle, preserving species diversity, and regulating climate environment. The dominant tree mapping Yunnan is a crucial tool for reflecting distribution of forest resources region. Feature engineering very important traditional machine learning. It primarily involves two demands: firstly, when there are too many feature dimensions, selection performed to speed up model training filtering out...

10.1117/12.3009116 article EN 2023-10-16

An iris band-reject element used to produce the transmission zero (TZ) in a waveguide bandpass filter is proposed and analyzed. This an partial rectangular waveguide. It's found that with certain height can proper TZ it be applied design improve stopband's performance. improved type of Ka band irises simulated fabricated. The measured data shows very good agreement one, presented.

10.1109/icct.2010.5689315 article EN 2010-11-01
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