AIMC Topic: Self Concept
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Rape narratives analysis through natural language processing: Survivor self-label, narrative time span, faith, and rape terminology.
Psychological trauma : theory, research, practice and policy
Apr 27, 2020
OBJECTIVE: Rape-survivor identity is a sign of recovery and positive therapeutic progress among rape victims. This study is one of the few to focus on factors predicting self-labeling as a survivor among self-acknowledged rape victims by evaluating t...
Human vs. machine: the psychological and behavioral consequences of being compared to an outperforming artificial agent.
Psychological research
Mar 21, 2020
While artificial agents (AA) such as Artificial Intelligence are being extensively developed, a popular belief that AA will someday surpass human intelligence is growing. The present research examined whether this common belief translates into negati...
Artificial neural networks for predicting social comparison effects among female Instagram users.
PloS one
Feb 25, 2020
Systematic exposure to social media causes social comparisons, especially among women who compare their image to others; they are particularly vulnerable to mood decrease, self-objectification, body concerns, and lower perception of themselves. This ...
Predicting likelihood of psychological disorders in PlayerUnknown's Battlegrounds (PUBG) players from Asian countries using supervised machine learning.
Addictive behaviors
Oct 4, 2019
Multiplayer Online Battle Arena (MOBA) has become one of the most popular genre of online video games played by gamers worldwide. Previous studies have exhibited that excessive engagement in games can lead to Internet Gaming Disorder (IGD). Internet ...
How Employability Attributes Mediate the Link Between Knowledge Workers' Career Adaptation Concerns and Their Self-Perceived Employability.
Psychological reports
May 6, 2019
The study examines employability attributes as psychological mechanisms that explain the link between the career adaptation concerns and self-perceived employability of a sample of professionally qualified knowledge workers (N = 404). A cross-section...
BP neural network prediction model for suicide attempt among Chinese rural residents.
Journal of affective disorders
Dec 27, 2018
OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) prediction model for suicide attempt, so as to improve the individual prediction accuracy.
Male
Middle Aged
Suicide, Attempted
Case-Control Studies
China
Social Support
Surveys and Questionnaires
Adolescent
Child
Female
Risk Factors
Young Adult
Adult
Sensitivity and Specificity
Adaptation, Psychological
Logistic Models
Humans
Depressive Disorder
Rural Population
Neural Networks, Computer
Impulsive Behavior
Self Concept
Asian People
Diagnostic performance of an artificial neural network to predict excess body fat in children.
Pediatric obesity
Dec 27, 2018
BACKGROUND: Waist circumference (WC) and z scores of body mass index (BMI) are commonly used to predict childhood obesity, although BMI and WC have a limited sensitivity.
Self-selected speed gait training in Parkinson's disease: robot-assisted gait training with virtual reality versus gait training on the ground.
European journal of physical and rehabilitation medicine
Oct 29, 2018
BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disorder causing progressive gait disability. Although robot-assisted gait training (RAGT) using the Lokomat device has been demonstrated to improve gait in PD, it is not clear what the best...
Annual Research Review: Developmental computational psychiatry.
Journal of child psychology and psychiatry, and allied disciplines
Sep 4, 2018
Most psychiatric disorders emerge during childhood and adolescence. This is also a period that coincides with the brain undergoing substantial growth and reorganisation. However, it remains unclear how a heightened vulnerability to psychiatric disord...
Embodiment and Estrangement: Results from a First-in-Human "Intelligent BCI" Trial.
Science and engineering ethics
Nov 11, 2017
While new generations of implantable brain computer interface (BCI) devices are being developed, evidence in the literature about their impact on the patient experience is lagging. In this article, we address this knowledge gap by analysing data from...
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