AIMC Topic: Fear

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Using the MEDiPORT humanoid robot to reduce procedural pain and distress in children with cancer: A pilot randomized controlled trial.

Pediatric blood & cancer
BACKGROUND: Subcutaneous port needle insertions are painful and distressing for children with cancer. The interactive MEDiPORT robot has been programmed to implement psychological strategies to decrease pain and distress during this procedure. This s...

Perceptual discrimination in fear generalization: Mechanistic and clinical implications.

Neuroscience and biobehavioral reviews
For almost a century, Pavlovian conditioning is the imperative experimental paradigm to investigate the development and generalization of fear. However, despite the rich research tradition, the conceptualization of fear generalization has remained so...

Horror Image Recognition Based on Context-Aware Multi-Instance Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Horror content sharing on the Web is a growing phenomenon that can interfere with our daily life and affect the mental health of those involved. As an important form of expression, horror images have their own characteristics that can evoke extreme e...

Changes in depression stigma after the Germanwings crash - Findings from German population surveys.

Journal of affective disorders
BACKGROUND: Media coverage of the Germanwings plane crash intensely focused on the co-pilot's mental illness and was criticized for potentially increasing depression stigma. We explored whether stigma beliefs towards persons with depression changed i...

Live predators, robots, and computer-animated images elicit differential avoidance responses in zebrafish.

Zebrafish
Emotional disturbances constitute a major health issue affecting a considerable portion of the population in western countries. In this context, animal models offer a relevant tool to address the underlying biological determinants and to screen novel...

Overcoming "Fear of AI" Bias: Insights from the Technology Acceptance Model.

Radiographics : a review publication of the Radiological Society of North America, Inc

Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals.

Studies in health technology and informatics
In this study, we attempted to classify categorical emotional states using Electrodermal Activity (EDA) signals and a configurable Convolutional Neural Network (cCNN). The EDA signals from the publicly available, Continuously Annotated Signals of Emo...

Facial expression recognition using lightweight deep learning modeling.

Mathematical biosciences and engineering : MBE
Facial expression is a type of communication and is useful in many areas of computer vision, including intelligent visual surveillance, human-robot interaction and human behavior analysis. A deep learning approach is presented to classify happy, sad,...

Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data.

Cell reports
Serial section electron microscopy (ssEM) can provide comprehensive 3D ultrastructural information of the brain with exceptional computational cost. Targeted reconstruction of subcellular structures from ssEM datasets is less computationally demandin...