Artificial intelligence applied to bed regulation in Rio Grande do Norte: Data analysis and application of machine learning on the "RegulaRN Leitos Gerais" platform.

Bed regulation within Brazil's National Health System (SUS) plays a crucial role in managing care for patients in need of hospitalization. In Rio Grande do Norte, Brazil, the RegulaRN Leitos Gerais platform was the information system developed to register requests for bed regulation for COVID-19 cases. However, the platform was expanded to cover a range of diseases that require hospitalization.

Conventional methods and electronic apical locator in determining working length in different primary teeth: systematic review and meta-analysis of clinical studies.

Aim: The aim of the current systematic review was to investigate differences in the measurement of working length in primary teeth between electronic apex locators (EAL) and radiographic methods (conventional radiography [CR] and digital radiography [DR]).

Methods: A systematic search was conducted in six electronic databases (Medline via PubMed, Web of Science, Science Direct, Virtual Health Library, Scopus and Cochrane Database of Systematic Reviews). Gray literature and reference lists of included studies were also examined.

Textural Analysis of Sea Lamprey Muscle From Guadiana and Mondego Rivers (Portugal) Using the Warner-Bratzler Shear Method.

Assessment of sea lamprey texture from the Guadiana and Mondego River basins. Lamprey has served as food for centuries, and nowadays it is highly appreciated, mainly in southern European countries. Therefore, the quality requirements of the lamprey are closely scrutinized by consumers.

Comparing NIRA and Traditional Network Approaches: A Study Case With Antisocial Personality Disorder Traits.

Objective: This study explores the NodeIdentifyR algorithm (NIRA) as a novel network analysis method for examining Antisocial Personality Disorder (ASPD) traits.

Methods: Using a sample of 2230 Brazilian adults (aged 18-73 years) who responded to ASPD-related factors of the Personality Inventory for DSM-5 (PID-5), we applied NIRA to an ASPD network and compared its results with traditional network analysis methods.

Results: Our findings revealed that deceitfulness emerged as the most central trait across both methodologies.