CONCLUSION: Although participation in either CR program yielded cardiometabolic benefits, Pritikin intensive CR patients exhibited significantly greater improvements in dietary behavior and clinical risk factors.

In-situ porewater samples were proposed to best represent the fraction of perfluoroalkyl and polyfluoroalkyl substances (PFAS) with the potential to migrate to groundwater. While there are many techniques for collecting porewater samples, suction lysimeters are frequently being used for PFAS investigations. Suction lysimeters use vacuum to extract porewater from vadose zone soils, typically fine to medium sands, which retain and release enough porewater for analysis. Importantly, determining the...

INTRODUCTION: Compartment based models of muscle fatigue have been particularly successful in accurately modeling isometric (static) tasks or actions. However, dynamic actions, which make up most everyday movements, are governed by different central and peripheral processes, and must therefore be modeled in a manner accounting for the differences in the responsible mechanisms. In the literature, a three-component controller (3CC) muscle fatigue model (MFM) has been proposed and validated for...

INTRODUCTION: American Indian and Alaska Native (AI/AN) communities in the United States (U.S.) face greater oral healthcare inequities than other groups in the country. A solution to improving oral healthcare access for American Indian and Alaska Native communities in the United States is the integration of dental therapists (DT). However, it has been met with opposition. The goal of this study was to explore oral health provider engagement and perspectives of DT implementation in local...

Clinical prediction models can enhance timely clinical decision-making when appropriately developed and integrated within clinical workflows. A risk prediction model is typically a regression equation that uses patient risk factor data to estimate the probability of the presence of disease (diagnostic) or its future occurrence (prognostic). Risk prediction models are widely studied in the surgical literature and commonly developed using logistic regression. For a risk prediction model to be...