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Is efficacy of miniscrew-assisted rapid palatal expansion in mid to late adolescents and young adults related to craniofacial sutures opening? A systematic review and meta-analysis.
Med Oral Patol Oral Cir Bucal
January 2025
Department of Oral and Maxillofacial Surgery International University of Catalonia Josep Trueta s/n, Sant Cugat del Vallès CP 08195, Barcelona, Spain
Background: Transverse maxillary deficiency is a relatively common type of malocclusion, that if left untreated will probably affect the permanent dentition. Recent investigations have proposed the use of bone-supported miniscrews around the midpalatal suture to expand the palate in late adolescents. The aim of this systematic review was to assess the efficacy of the Miniscrew Assisted Rapid Palatal Expansion (MARPE) technique in young adult patients, by quantifying skeletal expansion in relation to the age of the patient, as well as the impact upon other craniofacial sutures, and to describe the possible dental side effects.
View Article and Find Full Text PDFSerological Diagnosis of Infection in Cetaceans by Rapid Serum Agglutination Test and Competitive ELISA with and as Antigens.
Pathogens
January 2025
Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise 'G. Caporale', National Reference Center for Brucellosis, 64100 Teramo, Italy.
Rose Bengal antigen and smooth lipopolysaccharide (s-LPS) were produced from a field strain of ("homologous" antigens) and from the reference strain S99 ("heterologous" antigens); they are currently used for the diagnosis of brucellosis in cattle, water buffaloes, sheep, goats, and pigs, as recommended in the Manual of Diagnostic Tests and Vaccines for Terrestrial Animals of the World Organization for Animal Health (WOAH). "Homologous" and "heterologous" antigens were used in a rapid serum agglutination test (Rose Bengal test, RBT) and a competitive ELISA assay (c-ELISA) to test a panel of sera, blood, and other body fluids (cerebrospinal fluid, pericardial fluid, tracheal fluid, and aqueous humor) collected from 71 individuals belonging to five cetacean species (; ; ; ; and ), which were found stranded on the Italian coastline. Six animals were positive for spp.
View Article and Find Full Text PDFComparison of Manual, Automatic, and Voice Control in Wheelchair Navigation Simulation in Virtual Environments: Performance Evaluation of User and Motion Sickness.
Sensors (Basel)
January 2025
Instituto de Ciencias Aplicadas y Tecnología (ICAT), Universidad Nacional Autónoma de México, Ciudad de México C.P. 04510, Mexico.
Mobility is essential for individuals with physical disabilities, and wheelchairs significantly enhance their quality of life. Recent advancements focus on developing sophisticated control systems for effective and efficient interaction. This study evaluates the usability and performance of three wheelchair control modes manual, automatic, and voice controlled using a virtual reality (VR) simulation tool.
View Article and Find Full Text PDFAn Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models.
Sensors (Basel)
January 2025
School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Artificial intelligence (AI), particularly through advanced large language model (LLM) technologies, is reshaping coal mine safety assessment methods with its powerful cognitive capabilities. Given the dynamic, multi-source, and heterogeneous characteristics of data in typical mining scenarios, traditional manual assessment methods are limited in their information processing capacity and cost-effectiveness. This study addresses these challenges by proposing an embodied intelligent system for mine safety assessment based on multi-level large language models (LLMs) for multi-source sensor data.
View Article and Find Full Text PDFEfficient Generative-Adversarial U-Net for Multi-Organ Medical Image Segmentation.
J Imaging
January 2025
School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou 213000, China.
Manual labeling of lesions in medical image analysis presents a significant challenge due to its labor-intensive and inefficient nature, which ultimately strains essential medical resources and impedes the advancement of computer-aided diagnosis. This paper introduces a novel medical image-segmentation framework named Efficient Generative-Adversarial U-Net (EGAUNet), designed to facilitate rapid and accurate multi-organ labeling. To enhance the model's capability to comprehend spatial information, we propose the Global Spatial-Channel Attention Mechanism (GSCA).
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