Results 241 to 250 of about 4,974,855 (283)

Mental Health Impacts of Self‐Help Interventions for the Treatment and Prevention of Eating Disorders. A Meta‐Analysis

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Self‐help programs are recommended as a first step in the management of eating disorders. Yet, whether self‐help interventions have broader mental health benefits beyond symptom and risk reduction remains unclear. As randomized controlled trials (RCTs) also assess general mental health secondary to eating disorder symptoms, we ...
Jake Linardon   +5 more
wiley   +1 more source

eBEfree: Combining Psychoeducation, Mindfulness, and Self‐Compassion in an App‐Based Psychological Intervention to Manage Binge‐Eating Symptoms: A Randomized Controlled Trial

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To develop and test the effectiveness of the eBEfree program, a 12‐session app‐based version of a previously tested psychological intervention (BEfree) that combines psycho‐education, self‐compassion, mindfulness, and Acceptance and Commitment Therapy to reduce binge‐eating symptoms.
Hugo Senra   +11 more
wiley   +1 more source

Exploring Drivers of Binge Eating in Individuals With Food Insecurity and Recurrent Binge Eating: A Qualitative Analysis

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective This study explored the drivers of binge eating in people with food insecurity and recurrent binge eating. Method Participants were 28 adults, ages 26–69 (M = 46.22, SD = 11.94; 64.3% female), who endorsed current food insecurity and recurrent binge eating (≥ 12 episodes in the past 3 months).
Emilie A. Green   +6 more
wiley   +1 more source

Global utilization of artificial intelligence in the diagnosis and management of voice disorders over the past five years

open access: yesEye &ENT Research, EarlyView.
Abstract Objective This review evaluates the worldwide use of artificial intelligence (AI) for the diagnosis and treatment of voice disorders. Methods An electronic search was completed in Embase, Pubmed, Ovid MEDLINE, Scopus, Google Scholar, and Web of Science.
Amna Suleman, Amy L. Rutt
wiley   +1 more source

Encryption and Decryption of Audio Signal and Image Secure Communications Using Chaotic System Synchronization Control by TSK Fuzzy Brain Emotional Learning Controllers

IEEE Transactions on Cybernetics, 2021
In this article, a new idea of chaos synchronization and chaos-based secure communication is developed. First, the chaotic master system is used as a transmitter in chaos-based secure communication, then a drive signal is constructed, and the information
Chih-Min Lin, D. Pham, Tuan-Tu Huynh
semanticscholar   +1 more source

Exponential Hyperbolic Cosine Robust Adaptive Filters for Audio Signal Processing

IEEE Signal Processing Letters, 2021
In recent years, correntropy-based algorithms which include maximum correntropy criterion (MCC), generalized MCC (GMCC), kernel MCC (KMCC) and hyperbolic cosine function-based algorithms such as hyperbolic cosine adaptive filter (HCAF), logarithmic HCAF (
Krishna Kumar   +3 more
semanticscholar   +1 more source

Effective Audio Signal Arrival Time Detection Algorithm for Realization of Robust Acoustic Indoor Positioning

IEEE Transactions on Instrumentation and Measurement, 2020
To achieve high precision and robust positioning on mobile devices, we propose a novel audio signal arrival time detection algorithm consisting of both coarse and fine searches.
Shuai Cao   +3 more
semanticscholar   +1 more source

Audio Set: An ontology and human-labeled dataset for audio events

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2017
Audio event recognition, the human-like ability to identify and relate sounds from audio, is a nascent problem in machine perception. Comparable problems such as object detection in images have reaped enormous benefits from comprehensive datasets ...
J. Gemmeke   +7 more
semanticscholar   +1 more source

Audio signal classification using Linear Predictive Coding and Random Forests

International Conference on Speech Technology and Human-Computer Dialogue, 2017
The goal of this work is to present an audio signal classification system based on Linear Predictive Coding and Random Forests. We consider the problem of multiclass classification with imbalanced datasets.
L. Grama, C. Rusu
semanticscholar   +1 more source

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