A technology-based randomized controlled trial of self-affirmation and gain-framed health messaging to reduce sedentary behavior in older adults.

Objective: Sedentary behavior significantly increases the risk for chronic diseases and cognitive decline in aging, underscoring the need for effective interventions. Older adults exhibit a 'positivity effect', whereby processing of positive information is prioritized over negative information. In addition, self-affirmation was shown to reduce sedentary behavior in younger adults, but its effects in older adults remain unknown.

A deep learning strategy to identify cell types across species from high-density extracellular recordings.

High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to reveal cell type. Here, we develop a strategy to identify cell types from extracellular recordings in awake animals and reveal the computational roles of neurons with distinct functional, molecular, and anatomical properties. We combine optogenetics and pharmacology using the cerebellum as a testbed to generate a curated ground-truth library of electrophysiological properties for Purkinje cells, molecular layer interneurons, Golgi cells, and mossy fibers.

RNase Y mediates posttranscriptional control of the virulence-associated CncR1 small-RNA in .

Ribonucleases are involved in several biological processes, including the turnover of structural and messenger RNAs and the specific processing of the cellular transcriptome. Here, we characterized the RNase Y from . We found that RNase Y is membrane-associated and its expression is controlled during bacterial growth and by Fur in response to iron.

Technologies to support nursing students in learning Standardized Nursing Languages: A systematic literature review.

Aim: This review identifies technologies used to teach Standardized Nursing Languages and their impact on nursing students' educational outcomes.

Methods: A literature review, updated to June 14, 2024, was conducted by consulting the PubMed, CINAHL, Scopus, and Cochrane databases. The main inclusion criterion was primary studies in which technology was used to educate students on Standardized Nursing Languages.

Deciphering the Link Between Diagnosis-Related Group Weight and Nursing Care Complexity in Hospitalized Children: An Observational Study.

Background/objectives: The increasing medical and nursing care complexity in hospitalized children represents a significant challenge for healthcare systems. However, the link between these two dimensions remains partially explored. This study aims to decipher the relationship between Diagnosis-Related Group (DRG) weight and nursing care complexity in hospitalized children and to identify the determinants of medical complexity.