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Insomnia
Insomnia is the most common sleep complaint in the general population. The condition can manifest itself in several ways and can be triggered in...
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Quantifying the informational value of classification images
Reverse correlation is an influential psychophysical paradigm that uses a participant’s responses to randomly varying images to build a...
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Artificial Intelligence and Machine Learning Approaches for Understanding Food and Nutrients
To avoid obesity inside the human body, a healthy diet must be maintained at a consistent level. Automated classification of food photos and...
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Full of Surprises: Performance Validity Testing in Examinees with Limited English Proficiency
This study was designed to evaluate the susceptibility of various performance validity tests (PVTs) to limited English proficiency (LEP). A battery...
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Methods and Environmental Conditions Typical of Nature-Based Mindfulness Practice: A Scoping Review
Objectivesthis scoping review aimed to explore the diversity of existing nature-based mindfulness (NBM) interventions. The specific objectives of...
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Forensic Prediction of Malingering from Performance Validity Tests: Review of Leonhard (2023, a, b, c)
In a series of articles in 2023, Leonhard has presented criticisms of extant approaches to the use and interpretation of performance validity tests...
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Potential suicide risk among the college student population: machine learning approaches for identifying predictors and different students’ risk profiles
BackgroundSuicide is one of the leading causes of death among young people and university students. Research has identified numerous...
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Test Anxiety Symptoms in College Students: Base Rates and Statistical Deviance
Test anxiety is a common concern in students of all ages, and over the past few decades, there has been debate about whether to consider test anxiety...
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Comorbidity patterns of depression and anxiety among Chinese psychiatric patients: a latent profile analysis
Depression and anxiety are highly prevalent around the world. Previous research mainly adopted variable-centered analyses, which overlooked different...
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Lesbian Intimate Partner Violence and Perceived Social Support: A Confirmatory Latent Class Analysis
Intimate partner violence (IPV) is one of the most recurrent forms of human rights violations against women. However, this area lacks research on the...
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Comment on “Quantifying the informational value of classification images”: A miscomputation of the infoVal metric
Brinkman et al. (
2019 ) recently introduced an innovative metric— infoVal —to assess the informational value of classification images (CIs) relative to...
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Comparative analysis of ROCKET-driven and classic EEG features in predicting attachment styles
Predicting attachment styles using AI algorithms remains relatively unexplored in scientific literature. This study addresses this gap by employing...
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A lexical approach to laughter classification: Natural language distinguishes six (classes of) formal characteristics
Although research on laughter is becoming increasingly common, there is no consensus on the description of its variations. Investigating all verbal...
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Automated facial expression measurement in a longitudinal sample of 4- and 8-month-olds: Baby FaceReader 9 and manual coding of affective expressions
Facial expressions are among the earliest behaviors infants use to express emotional states, and are crucial to preverbal social interaction. Manual...
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Factors associating with the changes in life satisfaction among individuals with intellectual disabilities: a latent class growth model analysis
The current study aims to longitudinally analyze the types of latent growth groups according to change in the life satisfaction of individuals with...
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Experimental Study on Emergency Psychophysiological and Behavioral Reactions to Coal Mining Accidents
Effective emergency responses are crucial for preventing coal mine accidents and mitigating injuries. This paper aims to investigate the...
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Current Physiotherapy Approaches in Patients With Facial Palsy
Facial palsy (FP) is the most common acute mononeuropathy involving rapid and unilateral onset of peripheral paresis of the facial nerve for any...
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Validating the efficacy of associative therapeutic COPE cards for eliciting distinct psychophysiological states: behavioral and neural evidence from an ERP study
COPE cards are a critical element of the SEE FAR CBT protocol, designed for the treatment of PTSD and anxiety disorders. Utilizing associative...
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A systematic evaluation of text mining methods for short texts: Mapping individuals’ internal states from online posts
Short texts generated by individuals in online environments can provide social and behavioral scientists with rich insights into these individuals’...
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Development and application of emotion recognition technology — a systematic literature review
BackgroundThere is a mutual influence between emotions and diseases. Thus, the subject of emotions has gained increasing attention.
Objective ...
