Publications by authors named "R V Moseley"

Purpose: This study aimed to explore emotional functioning in individuals with varying levels of orthorexia nervosa (ON) symptoms. Given the established links between emotion dysregulation and other eating disorders (EDs), and the conceptualization of ON within the ED spectrum, this research sought to examine the relationships between ON symptomatology and emotion regulation strategies, alexithymia, and beliefs about emotions.

Methods: A large sample (N = 562) completed self-report measures with high psychometric properties, assessing ON traits (E-DOS), emotion regulation strategies (DERS-SF and ERQ), alexithymia (TAS-20), and beliefs about emotions (ERQ).

View Article and Find Full Text PDF
Article Synopsis
  • The algorithmic patient preference predictor (PPP) aims to help make decisions for incapacitated patients when there are no advanced directives, highlighting both ethical challenges and practical issues in personalizing predictions.
  • A review of studies found 68 using machine learning to predict patient-reported outcome measures (PROMs), with orthopedic and spinal surgeries being the most common focus; however, overall predictive performance was generally poor to moderate.
  • Pre-event PROMs emerged as key predictors of post-event outcomes, indicating the need to integrate patient preferences into developing personalized PPP models, which currently lack adequate fairness assessments.
View Article and Find Full Text PDF

Epoxytiglianes are a novel class of diterpene esters. The prototype epoxytigliane, EBC-46 (tigilanol tiglate), is a potent anti-cancer agent in clinical development for local treatment of a range of human and animal tumors. EBC-46 also consistently promotes wound re-epithelialization at the treatment sites, mediated via activation of classical protein kinase C (PKC) isoforms.

View Article and Find Full Text PDF

Flow cytometry is a useful and efficient method for the rapid characterization of a cell population based on the optical and fluorescence properties of individual cells. Ideally, the cell population would consist of only healthy viable cells as dead cells can confound the analysis. Thus, separating out healthy cells from dying and dead cells, and any potential debris, is an important first step in analysis of flow cytometry data.

View Article and Find Full Text PDF