Predictability of buprenorphine-naloxone treatment retention: A multi-site analysis combining electronic health records and machine learning.

Background And Aims: Opioid use disorder (OUD) and opioid dependence lead to significant morbidity and mortality, yet treatment retention, crucial for the effectiveness of medications like buprenorphine-naloxone, remains unpredictable. Our objective was to determine the predictability of 6-month retention in buprenorphine-naloxone treatment using electronic health record (EHR) data from diverse clinical settings and to identify key predictors.

Design: This retrospective observational study developed and validated machine learning-based clinical risk prediction models using EHR data.

Evaluation of Lipids for the Study of Photosynthetic Membranes.

The biological role of lipids goes far beyond the formation of a structural membrane bilayer platform for membrane proteins and controlling fluxes across the membranes. For example, in photosynthetic thylakoid membranes, lipids occupy well-defined binding niches within protein complexes and determine the structural organization of membrane proteins and their function by controlling generic physicochemical membrane properties. In this chapter, two-dimensional thin-layer chromatography (2D TLC) and gas chromatography (GC) techniques are presented for quantitative analysis of lipid classes and fatty acids in thylakoid membranes.

The effectiveness of smoking cessation interventions in rural and remote populations: Systematic review and meta-analyses.

Background: Rural and remote residents are more likely to smoke tobacco than those in major cities. However, they may experience unique systemic, provider, and individual barriers to accessing smoking cessation treatments, including distance and limited resources. Understanding the effectiveness of smoking cessation interventions in this population is important due to higher smoking-related disease burden and death compared to those in major cities.

Maternal influences on binge eating behaviors in children.

Binge eating in childhood has been linked to adverse future health outcomes. Parental factors, such as parents' emotion regulation and executive functioning, are likely to influence children's self-regulatory behaviors, including eating. Executive functioning describes a range of higher-order cognitive functions such as planning, abstraction, inhibitory control and working memory, which involves the ability to learn, update and manipulate new information while managing distractions.