Improving full-arch implant scanning accuracy with a Meccano-like device for scan bodies splinting: A dental technique.

A long-term successful implant-supported prosthesis requires the creation of a passively fitting framework, based on an accurate intraoral digital implant scan. According to dental literature, splinted implant scan bodies (ISBs) provide higher intraoral scanning accuracy than non-splinted techniques. This technique presents a structured approach for splinting multi-unit abutment scan bodies (MUASBs) using customized manufactured devices to facilitate the recording of definitive intraoral implant scans.

Short- to medium-term follow-up of normoponderal children and adolescents with subclinical hypothyroidism: a retrospective study of the last 15 years.

Objectives: Subclinical hypothyroidism (SCH) is defined by elevated thyroid-stimulating hormone (TSH) levels (>5 mUI/L) and normal total and free thyroxine levels (fT4). There is ongoing debate over whether mild SCH should be treated. This study aims to assess the clinical course of normoponderal pediatric patients with SCH.

Xylan from Dinizia excelsa: Chemical characterization and biological activities.

Dinizia Excelsa is an Amazonian tree with a wide range of applications as a raw material in the industry. The objective of this study was to extract, characterize, and evaluate the biological activities of xylan extracted from Dinizia excelsa wood. The xylan was obtained in five stages, including delignification, precipitation, purification, and freeze-drying.

Comparative Analysis of Machine Learning Techniques for Identifying Multiple Force Systems from Accelerometer Measurements.

The knowledge of the forces acting on a structure enables, among many other factors, assessments of whether the component's useful life is compromised by the current machine condition. In many cases, a direct measurement of those forces becomes unfeasible, and an inverse problem must be solved. Among the solutions developed, machine learning techniques have stood out as powerful predictive tools increasingly applied to engineering problem-solving.