Publications by authors named "N Amiri"
Lamb waves are widely used for defect detection in structural health monitoring, and various methods are developed for Lamb wave data analysis. This paper presents an unsupervised Adversarial Transformer model for anomalous Lamb wave pattern detection by analyzing the spatiotemporal images generated by a hybrid PZT-scanning laser Doppler vibrometer (SLDV). The model includes the global attention and the local attention mechanisms, and both are trained adversarially.
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- Researchers explored how charged colloidal particles assemble at liquid interfaces to enhance the manufacturing of thin film materials.
- The study combined computational simulations and machine learning, using a new algorithm to analyze particle behavior on curved droplet surfaces.
- By optimizing particle and substrate charge densities through a deep learning model, the team achieved a 96.4% similarity between simulated and experimental results, improving prediction accuracy while saving computational time.
Article Synopsis
- The research examined the impact of free versus nanoencapsulated garlic essential oil (GEO) on the health and performance of broiler chickens.
- The study found that 75 mg/kg of nanoencapsulated GEO significantly improved growth rates and reduced harmful cholesterol levels compared to control groups.
- Overall, the use of nanoencapsulated GEO enhanced both growth performance and immune response in broiler chickens, suggesting it may be more effective than free GEO.
Background: In an effort to combat burnout, a study investigates Mindfulness-Based Stress Reduction (MBSR) training for nurses. The goal is to reduce stress and improve job satisfaction, ultimately enhancing patient care. These findings may inspire the development of mindfulness-based support systems for healthcare professionals to promote overall well-being in the workplace.
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