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| http://dx.doi.org/10.1002/wps.20535 | DOI Listing |
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Evaluation of the reliability of palatal rugae as a reference area in digital superimposition after slow maxillary expansion treatment.
Am J Orthod Dentofacial Orthop
January 2025
Department of Orthodontics, Gulhane Faculty of Dental Medicine, University of Health Sciences, Ankara, Turkey.
Introduction: This study aimed to evaluate the stability of palatal rugae patterns after slow maxillary expansion (SME) treatment and the reliability of the rugae region as a reference region in digital superimposition.
Methods: The SME group comprised 21 subjects with Angle Class I or Class II dental malocclusion with unilateral or bilateral crossbite and constricted maxilla and were selected before the pubertal peak. Intraoral scans were captured via the intraoral scanner iTero Element software (version 1.
Evaluating the Protective Role of Intranasally Administered Avian-Derived IgY Against SARS-CoV-2 in Syrian Hamster Models.
Vaccines (Basel)
December 2024
Prophyl Kft., 7700 Mohács, Hungary.
Background/objectives: The ongoing COVID-19 pandemic has underscored the need for alternative prophylactic measures, particularly for populations for whom vaccines may not be effective or accessible. This study aims to evaluate the efficacy of intranasally administered IgY antibodies derived from hen egg yolks as a protective agent against SARS-CoV-2 infection in Syrian golden hamsters, a well-established animal model for COVID-19.
Methods: Hens were immunized with the spike protein of SARS-CoV-2 to generate IgY antibodies.
Routine Immunization Microplanning Challenges and Opportunities in Low- and Middle-Income Countries: A Mixed-Method Landscape Analysis.
Vaccines (Basel)
December 2024
PATH, Seattle, WA 98121, USA.
Background: Microplanning is widely recognized as a critical tool for improving immunization coverage and equity and is considered a core component of routine immunization. However, there is limited evidence on how microplans are developed and implemented and the effectiveness of microplanning. As such, this study sought to review the existing evidence on implementation and institutionalization of microplanning; identify strategies to improve microplanning; and document evidence on new approaches to microplanning, including digitally enhanced and integrated microplanning.
View Article and Find Full Text PDFCabbageNet: Deep Learning for High-Precision Cabbage Segmentation in Complex Settings for Autonomous Harvesting Robotics.
Sensors (Basel)
December 2024
School of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Reducing damage and missed harvest rates is essential for improving efficiency in unmanned cabbage harvesting. Accurate real-time segmentation of cabbage heads can significantly alleviate these issues and enhance overall harvesting performance. However, the complexity of the growing environment and the morphological variability of field-grown cabbage present major challenges to achieving precise segmentation.
View Article and Find Full Text PDFImplementation of Principal Component Analysis (PCA)/Singular Value Decomposition (SVD) and Neural Networks in Constructing a Reduced-Order Model for Virtual Sensing of Mechanical Stress.
Sensors (Basel)
December 2024
Fundación Centro Tecnológico CTC-Scientific and Technological Park of Cantabria (PCTCAN), Street Isabel Torres Nº 1, 39011 Santander, Spain.
This study presents the design and validation of a numerical method based on an AI-driven ROM framework for implementing stress virtual sensing. By leveraging Reduced-Order Models (ROMs), the research aims to develop a virtual stress transducer capable of the real-time monitoring of mechanical stresses in mechanical components previously analyzed with high-resolution FEM simulations under a wide range of multiple load scenarios. The ROM is constructed through neural networks trained on Finite Element Method (FEM) outputs from multiple scenarios, resulting in a simplified yet highly accurate model that can be easily implemented digitally.
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