Characterization of Odor-Active 2-Ethyldimethyl-1,3,6-trioxocane Isomers in Polyurethane Materials.

Polyurethane materials, widely used in indoor environments, occasionally exhibit unpleasant odors. An important source of polyurethane odorants is polyether polyols. Previous studies identified odorous 2-ethyldimethyl-1,3,6-trioxocanes in polyurethane materials and polyols but did not investigate the odor activity of the individual isomers.

Invasive group A streptococcal infections as a consequence of coexisting or previous viral infection in the post-COVID-19 pandemic period.

Background: Group A Streptococci (GAS) may cause infections of the pharynx and soft tissues and invasive infections in children (iGAS). A significant increase in severe iGAS infections has been reported in Europe since the fall of 2022.

Objectives: This retrospective study aims to analyse clinical data of children with invasive and non-invasive GAS infections in the post-COVID-19 pandemic era, searching for predisposing factors to developing invasive infections.

Loss of glymphatic homeostasis in heart failure.

Heart failure (HF) is associated with progressive reduction in cerebral blood flow (CBF) and neurodegenerative changes leading to cognitive decline. The glymphatic system is crucial for the brain's waste removal, and its dysfunction is linked to neurodegeneration. In this study, we used a mouse model of HF, induced by myocardial infarction (MI), to investigate the effects of HF with reduced ejection fraction on the brain's glymphatic function.

Image Quality Assessment and Reliability Analysis of Artificial Intelligence-Based Tumor Classification of Stimulated Raman Histology of Tumor Biobank Samples.

Background: Stimulated Raman histology (SRH) is a label-free optical imaging method for rapid intraoperative analysis of fresh tissue samples. Analysis of SRH images using Convolutional Neural Networks (CNN) has shown promising results for predicting the main histopathological classes of neurooncological tumors. Due to the relatively low number of rare tumor representations in CNN training datasets, a valid prediction of rarer entities remains limited.