Caenorhabditis elegans as a Model for Evaluating the Toxicology of Inorganic Nanoparticles.

Inorganic nanoparticles are nanomaterials with a central core composed of inorganic specimens, especially metals, which give them interesting applications but can impact the environment and human health. Their short- and long-term effects are not completely known and to investigate that, alternative models have been successfully used. Among these, the nematode Caenorhabditis elegans has been increasingly applied in nanotoxicology in recent years because of its many features and advantages for toxicological screening.

Influence of Light-Curing Time and Increment Thickness on the Properties of Bulk Fill Composite Resins With Distinct Application Systems.

The objective of this study was to evaluate the influence of light-curing time and increment thickness on the microhardness and degree of conversion (DC) of bulk fill composite resins with different application systems. Translucency parameter (TP) was also measured. Specimens of resin composites were prepared in a circular matrix using a single increment with different thicknesses (2, 4, and 6 mm) and light-cured with distinct times (10, 20, and 40 s).

Inhibition of Staphylococcus epidermidis and Pseudomonas aeruginosa biofilms by grape and rice agroindustrial residues.

Agroindustrial wastes are generated daily and seem to be rich in bioactive molecules. Thus, they can potentially be used as source of compounds able to control bacterial biofilms. We investigated the potential of extracts from the residues of rice and grape to combat clinically important bacterial biofilms.

Combination of proviral and antiviral roles of B cell-intrinsic STAT1 expression defines parameters of chronic gammaherpesvirus infection.

Gammaherpesviruses are species-specific, ubiquitous pathogens that establish lifelong infection in their hosts and are associated with cancers, including B cell lymphomas. Type I and II interferons (IFNs) are critical for the control of acute and chronic gammaherpesvirus infection. However, the cell type-specific role of IFN signaling during natural infection is poorly defined and is masked by the altered viral pathogenesis observed in hosts with global IFN deficiencies.

Challenges Reconciling Theory and Experiments in the Prediction of Lattice Thermal Conductivity: The Case of Cu-Based Sulvanites.

The exploration of large chemical spaces in search of new thermoelectric materials requires the integration of experiments, theory, simulations, and data science. The development of high-throughput strategies that combine DFT calculations with machine learning has emerged as a powerful approach to discovering new materials. However, experimental validation is crucial to confirm the accuracy of these workflows.