Implementing the MIRROR-TCM Randomised Control Trial During the COVID-19 Pandemic: A Mixed-Methods Evaluation.

Aim: To evaluate the implementation of the Transitional Care Model (TCM), an evidence-based, advanced practice registered nurse-led multi-component intervention, as part of a randomised controlled trial during the first year of the COVID-19 pandemic.

Design: Parallel convergent mixed-methods approach.

Methods: Data for this study were collected between June 2020 and February 2021.

QCD Predictions for Meson Electromagnetic Form Factors at High Momenta: Testing Factorization in Exclusive Processes.

We report the first lattice QCD computation of pion and kaon electromagnetic form factors, F_{M}(Q^{2}), at large momentum transfer up to 10 and 28  GeV^{2}, respectively. Utilizing physical masses and two fine lattices, we achieve good agreement with JLab experimental results at Q^{2}≲4  GeV^{2}. For Q^{2}≳4  GeV^{2}, our results provide ab initio QCD benchmarks for the forthcoming experiments at JLab 12 GeV and future electron-ion colliders.

Differences in Sleep Quality and Sleepiness among Veterinary Medical Students at Multiple Institutions Before and After the Pandemic Induced Transition to Online Learning.

Poor sleep health has been previously documented in veterinary medical students. However, it is not known how universal or widespread this problem is. This study evaluated Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) scores to measure sleep health among students at seven colleges of veterinary medicine in the United States (US).

Health equity engineering: Optimizing hope for a new generation of healthcare.

Medical researchers are increasingly prioritizing the inclusion of underserved communities in clinical studies. However, mere inclusion is not enough. People from underserved communities frequently experience chronic stress that may lead to accelerated biological aging and early morbidity and mortality.

Neural and metabolic factors in carbohydrate reward: Rationale, design, and methods for a flavor-nutrient learning paradigm in humans.

Overconsumption of ultra-processed foods (UPFs), which are linked with adverse health outcomes, is a growing public health concern. UPFs deliver highly bioavailable calories rapidly, which may contribute to their reinforcing potential and drive overconsumption. Our primary aim is to test the role of speed of nutrient availability on reward learning.