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Hata-Yanagiya physical activity calculation system: a novel global positioning system-based method for accurate estimation of oxygen consumption during walking and running.
Front Sports Act Living
January 2025
Graduate School of Health and Sports Science, Juntendo University, Inzai, Japan.
Introduction: Marathon running has become increasingly popular among amateur athletes, many of whom maintain speeds of 8-9 km/h. However, existing methods for estimating oxygen consumption (VO) during running and walking-such as the American College of Sports Medicine (ACSM) equations and commercial activity monitors-often lack accuracy and transparency. This study introduces the Hata-Yanagiya Physical Activity Calculation (HYPAC) system, a novel approach for estimating VO using Global Positioning System (GPS) and map data.
View Article and Find Full Text PDFAssessment of information quality in the largest Danish Facebook group on atopic diseases: a mixed bag of help and harm.
Front Allergy
January 2025
Department of Public Health, Environment, Occupation, and Health, Aarhus University, Aarhus, Denmark.
Background: Patient education is an important part of the management of atopic diseases such as allergic rhinitis, atopic dermatitis, and asthma. Given the increasing reliance on social media platforms such as Facebook for health-related discourse, there are concerns about the accuracy and quality of the shared information.
Aim: The aim of this study was to categorize and assess the quality of the information shared within the largest Danish Facebook group focusing on atopic diseases.
Accuracy of Digital Intraoral Scans Three-dimensional Surface Analysis Compared with Plaster Models Dental Measurement in Mixed Dentition.
Int J Clin Pediatr Dent
December 2024
Department of Pediatric Dentistry, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Aims And Background: This study aimed to assess the accuracy of digital intraoral scans in capturing the three-dimensional (3D) surface of teeth and dental arches in mixed dentition, compared with conventional plaster models. Intraoral scanning technology has seen rapid advancements in recent years, revolutionizing orthodontic and dental practices. However, its accuracy in mixed dentition remains a subject of investigation.
View Article and Find Full Text PDFTechnological Advancements in Augmented, Mixed, and Virtual Reality Technologies for Surgery: A Systematic Review.
Cureus
December 2024
Private Practice, General Vascular Surgery Medical Group, Inc., San Leandro, USA.
Recent advancements in artificial intelligence (AI) have shown significant potential in the medical field, although many applications are still in the research phase. This paper provides a comprehensive review of advancements in augmented reality (AR), mixed reality (MR), and virtual reality (VR) for surgical applications from 2019 to 2024 to accelerate the transition of AI from the research to the clinical phase. This paper also provides an overview of proposed databases for further use in extended reality (XR), which includes AR, MR, and VR, as well as a summary of typical research applications involving XR in surgical practices.
View Article and Find Full Text PDFLWheatNet: a lightweight convolutional neural network with mixed attention mechanism for wheat seed classification.
Front Plant Sci
January 2025
School of Computer Science and Technology, Henan Institute of Science and Technology, Xinxiang, China.
Introduction: With the advent of technologies such as deep learning in agriculture, a novel approach to classifying wheat seed varieties has emerged. However, some existing deep learning models encounter challenges, including long processing times, high computational demands, and low classification accuracy when analyzing wheat seed images, which can hinder their ability to meet real-time requirements.
Methods: To address these challenges, we propose a lightweight wheat seed classification model called LWheatNet.
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