The spatial distribution of organics in geological samples can be used to determine when and how these organics were incorporated into the host rock. Mass spectrometry (MS) imaging can rapidly collect a large amount of data, but ions produced are mixed without discrimination, resulting in complex mass spectra that can be difficult to interpret. Here, we apply unsupervised and supervised machine learning (ML) to help interpret spectra from time-of-flight-secondary ion mass spectrometry (ToF-SIMS) of an organic-carbon-rich mudstone of the Middle Jurassic of England (UK).
View Article and Find Full Text PDFBackground: Attention Deficit-Hyperactive Disorder (ADHD) is a neurodevelopmental disorder, often persisting into adulthood.
Aims: To investigate the levels of functionality and quality of life (QoL) in adult patients newly diagnosed with ADHD and to compare with those without an ADHD diagnosis.
Methods: Consecutive patients who were referred to and assessed in a tertiary adult ADHD clinic enrolled in the study.
In many healthcare settings, teams change composition regularly, so healthcare students must be trained to function effectively in dynamic teams before entering the workforce. Interprofessional clinical rotations provide an ideal venue for learners to practice these skills, but little is known about how student teams interact in such settings. In this qualitative observational evaluation, learners from multiple health professions at a single institution participated in scheduled clinics in low-income housing communities for older adults.
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