The Prevalence of Enteric Viruses in Bivalve Molluscs in a Farming Area in Liguria, Northwest Italy.

Bivalve molluscs are filter-feeding organisms, capable of concentrating pathogenic microorganisms from the surrounding environment, thus contributing to the spread of viral pathogens, which they can transmit to humans, especially if eaten raw or undercooked. Although norovirus (NoV) and the hepatitis A virus (HAV) are considered the most common causes of foodborne infections, in recent years, other viruses with a zoonotic potential have been identified in shellfish, such as the hepatitis E virus (HEV), astrovirus (AsV), and aichi virus (AiV). The aim of the study was to investigate the presence of classical and emerging pathogenic enteric viruses in oysters () and mussels () from a mollusc farming area in the northwest of Italy, between April 2022 and March 2023.

Rheological Behavior of Oil Well Cement Slurries with Addition of Core/Shell TiO@SiO Nanoparticles-Effect of Superplasticizer and Temperature.

This study investigates the rheological behavior of oil well cement pastes (OWCPs) modified with core/shell TiO@SiO (nTS) nanoparticles and polycarboxylate-ether (PCE) superplasticizers at different temperatures (25, 45, and 60 °C). Results show that nTS particles increased static and dynamic yield stresses and the apparent viscosity of the cement slurries due to an increased solid volume fraction and reduced free water availability. The increase in the slurry dispersion by adding PCE superplasticizers enhanced the effect of the nanoparticles on the rheological parameters.

Incidence of Tooth Loss in Remote Indigenous Populations of the Amazon Region: A 13-Year Cohort Study Before and After Belo Monte Dam.

Tooth loss among indigenous people in the Amazon emphasizes the need for culturally appropriate oral health interventions. The objective of this study was to analyze the incidence of tooth loss in two remote Amazon indigenous populations. This prospective cohort evaluated a total of 47 indigenous in the permanent dentition at T0 and thirteen years later (T1) from two villages, Arara-Laranjal (n = 28, mean age 16.

Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal.

This empirical study assessed the potential of developing a machine-learning model to identify children and adolescents with poor oral health using only self-reported survey data. Such a model could enable scalable and cost-effective screening and targeted interventions, optimizing limited resources to improve oral health outcomes. To train and test the model, we used data from 2,133 students attending schools in a Portuguese municipality.

Antibody dynamics in dogs submitted to different canine visceral leishmaniasis treatment protocols.

This study evaluated dynamics of antibodies in dogs treated for canine visceral leishmaniasis (CVL). Twenty-one dogs naturally infected by Leishmania spp. were grouped based on the treatment protocol: G1 (n=4) received allopurinol; G2 (n=10) allopurinol with miltefosine; and G3 (n=7) allopurinol, miltefosine and Leish-Tec® vaccine.