Phenotypic evolution of SARS-CoV-2 spike during the COVID-19 pandemic.

SARS-CoV-2 variants are mainly defined by mutations in their spike. It is therefore critical to understand how the evolutionary trajectories of spike affect virus phenotypes. So far, it has been challenging to comprehensively compare the many spikes that emerged during the pandemic in a single experimental platform.

Linking 24-hour movement behaviour guidelines to core symptoms and school engagement of youth with moderate/severe ADHD.

Background: The independent associations of physical activity (PA), sleep duration (SL), and screen time (ST) with health outcome measures have been well-documented among children and adolescents, but not in youth with moderate/severe ADHD. To this end, the present study aimed to investigate the associations between three components within 24-hour movement behaviour (24-HMB) framework and core symptoms and school engagement in youth with moderate/severe ADHD.

Methods: This study used pooled data from the 2021-2022 U.

Promoting LC-QToF based non-targeted fingerprinting and biomarker selection with machine learning for the discrimination of black tea geographical origin.

Traceability and mislabelling of black tea for their geographical origin is known as a major fraud concern of the sector. Discrimination among various geographical indications (GIs) can be challenging due to the complexity of chemical fingerprints in multi-class metabolomics analysis. In this study, 302 black tea samples from 9 main cultivation GI regions were collected.