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Predicting On-Road Air Pollution Coupling Street View Images and Machine Learning: A Quantitative Analysis of the Optimal Strategy.
Environ Sci Technol
January 2025
Intelligent Transportation Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511455, China.
Integrating mobile monitoring data with street view images (SVIs) holds promise for predicting local air pollution. However, algorithms, sampling strategies, and image quality introduce extra errors due to a lack of reliable references that quantify their effects. To bridge this gap, we employed 314 taxis to monitor NO, NO, PM, and PM, and extracted features from ∼382,000 SVIs at multiple angles (0°, 90°, 180°, 270°) and buffer radii (100-500 m).
View Article and Find Full Text PDFA Rare Head and Neck Tumor: Making Simple Things Complicated.
Cureus
December 2024
Pathology, Sir Ganga Ram Hospital, New Delhi, IND.
Primary cutaneous anaplastic large cell lymphoma (ALCL) is a very uncommon type of CD30-positive T-cell lymphoma, and it very rarely affects the forehead. We report the case of a 68-year-old male presenting with an ulcerative lesion on the right forehead, initially suspected as a benign condition. Fine needle aspiration suggested a lymphoproliferative disorder, with biopsy and immunohistochemistry confirming primary cutaneous ALCL (CD30-positive, anaplastic lymphoma kinase [ALK]-negative).
View Article and Find Full Text PDFInternet of Things (IoT) is one of the most important emerging technologies that supports Metaverse integrating process, by enabling smooth data transfer among physical and virtual domains. Integrating sensor devices, wearables, and smart gadgets into Metaverse environment enables IoT to deepen interactions and enhance immersion, both crucial for a completely integrated, data-driven Metaverse. Nevertheless, because IoT devices are often built with minimal hardware and are connected to the Internet, they are highly susceptible to different types of cyberattacks, presenting a significant security problem for maintaining a secure infrastructure.
View Article and Find Full Text PDFTemporal Anomaly Detection in Attention-Deficit/Hyperactivity Disorder Using Recurrent Neural Networks.
Cureus
December 2024
Cultural Technology and Communication, Intelligent Systems Lab, University of the Aegean, Mytilene, GRC.
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental condition marked by movement hyperactivity, often persisting into adulthood. Understanding the movement patterns associated with ADHD is crucial for improving diagnostic precision and tailoring interventions. This study leverages the HYPERAKTIV dataset, which includes high-resolution temporal data on motor activity from people diagnosed with ADHD.
View Article and Find Full Text PDFEffectiveness of RESET care program: A real-world-evidence on managing non-alcoholic fatty liver disease through digital health interventions.
World J Hepatol
January 2025
Medical Affairs, Tatvacare, Ahmedabad 380058, Gujarāt, India.
Background: Non-alcoholic fatty liver disease (NAFLD) management requires sustainable lifestyle modifications. This study aimed to evaluate the effectiveness of the RESET care plan, a comprehensive program that is an integrated personalized diet, exercise, and cognitive behavior therapy, delivered MyTatva's digital health application enabled through a body composition analyzer (BCA) and smartwatch.
Aim: To evaluates the effectiveness of the comprehensive program delivered MyTatva's digital health app enabled through internet of thing devices.
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