Inspirational Professional Practice Model Redesign Using Shared Decision-Making.

An integrated health system including 12 hospitals, an expansive network of ambulatory settings, and health insurance plans began a systematic review of the existing nursing professional practice model (PPM) created in 2007 to assess current relevancy. The goal was to determine PPM concepts and imagery that represent present-day nursing workforce. This article shares how a formal review of literature, utilization of focus groups, and system-wide shared decision-making influenced creation and evaluation of a revised PPM.

Microfluidic Ecology Unravels the Genetic and Ecological Drivers of T4r Bacteriophage Resistance in E. coli: Insights into Biofilm-Mediated Evolution.

We use a microfluidic ecology which generates non-uniform phage concentration gradients and micro-ecological niches to reveal the importance of time, spatial population structure and collective population dynamics in the de evolution of T4r bacteriophage resistant motile . An insensitive bacterial population against T4r phage occurs within 20 hours in small interconnected population niches created by a gradient of phage virions, driven by evolution in transient biofilm patches. Sequencing of the resistant bacteria reveals mutations at the receptor site of bacteriophage T4r as expected but also in genes associated with biofilm formation and surface adhesion, supporting the hypothesis that evolution within transient biofilms drives phage resistance.

Quantitative microbiome profiling of honey bee (Apis mellifera) guts is predictive of winter colony loss in northern Virginia (USA).

For the past 15 years, the proportion of honey bee hives that fail to survive winter has averaged ~ 30% in the United States. Winter hive loss has significant negative impacts on agriculture, the economy, and ecosystems. Compared to other factors, the role of honey bee gut microbial communities in driving winter hive loss has received little attention.

Augmented Reality Registration System for Visualization of Skull Landmarks.

Background: Augmented reality (AR) is an emerging technology in neurosurgery with the potential to become a strategic tool in the delivery of care and education for trainees. Advances in technology have demonstrated promising use for improving visualization and spatial awareness of critical neuroanatomic structures. In this report, we employ a novel AR registration system for the visualization and targeting of skull landmarks.