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Seasonal Shifts in Influenza, Respiratory Syncytial Virus, and Other Respiratory Viruses After the COVID-19 Pandemic: An Eight-Year Retrospective Study in Jalisco, Mexico.
Viruses
December 2024
State Public Health Laboratory, Zapopan 45170, Jalisco, Mexico.
The coronavirus disease 2019 (COVID-19) pandemic profoundly disrupted the epidemiology of respiratory viruses, driven primarily by widespread non-pharmaceutical interventions (NPIs) such as social distancing and masking. This eight-year retrospective study examines the seasonal patterns and incidence of influenza virus, respiratory syncytial virus (RSV), and other respiratory viruses across pre-pandemic, pandemic, and post-pandemic phases in Jalisco, Mexico. Weekly case counts were analyzed using an interrupted time series (ITS) model, segmenting the timeline into these three distinct phases.
View Article and Find Full Text PDFEvaluating Communication Performance in Rotating Electrical Machines Using RSSI Measurements and Artificial Intelligence.
Sensors (Basel)
December 2024
LAPLACE Laboratory-UMR5213, National Polytechnic Institute of Toulouse, 31077 Toulouse, France.
This paper introduces a novel methodology for evaluating communication performance in rotating electric machines using Received Signal Strength Indication (RSSI) measurements coupled with artificial intelligence. The proposed approach focuses on assessing the quality of wireless signals in the complex, dynamic environment inside these machines, where factors like reflections, metallic surfaces, and rotational movements can significantly impact communication. RSSI is used as a key parameter to monitor real-time signal behavior, enabling a detailed analysis of communication reliability.
View Article and Find Full Text PDFNAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health.
Sensors (Basel)
December 2024
The Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, Italy.
Visual examination of nails can reflect human health status. Diseases such as nutritive imbalances and skin diseases can be identified by looking at the colors around the plate part of the nails. We present the AI-based NAILS method to detect fingernails through segmentation and labeling.
View Article and Find Full Text PDFEye-Tracking Characteristics: Unveiling Trust Calibration States in Automated Supervisory Control Tasks.
Sensors (Basel)
December 2024
School of Digital Media & Design Arts, Beijing University of Posts and Telecommunications, No. 10 Xitucheng Road, Beijing 100876, China.
Trust is a crucial human factor in automated supervisory control tasks. To attain appropriate reliance, the operator's trust should be calibrated to reflect the system's capabilities. This study utilized eye-tracking technology to explore novel approaches, given the intrusive, subjective, and sporadic characteristics of existing trust measurement methods.
View Article and Find Full Text PDFStudy of Water Resistance of Polyurethane Coatings Based on Microanalytical Methods.
Polymers (Basel)
December 2024
Civil Engineering Department, Lanzhou Jiaotong University, Lanzhou 730070, China.
This study investigates the effect of microstructural changes in polyurethane coatings on their water resistance properties. Polyurethane coatings with varying diluent contents were prepared and tested for water penetration resistance and mechanical property retention. The time-dependent behavior of water within the coatings at different immersion durations was analyzed using low-field nuclear magnetic resonance (NMR).
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