Increasing Graduate Student Awareness of Cultural Competence Through Bias Exploration Related to Diverse Cultural Families.

Emphasis by the American Nurses Association and the American Association of Colleges of Nursing regarding the importance of cultural competence in nursing education led to the development of a strategy to address personal bias in graduate nursing students. With the updated Essentials and a change to competency-based education, a need to address culturally congruent practices while increasing awareness of professional organization recommendations exists. Since Domain 2 of the Essentials highlights that culturally competent care is essential to person-centered care, a strategy that enhances knowledge by expanding the definition of culture beyond ethnicity and race was developed.

Interfacing CuO, CuBiO, and protective metal oxide layers to boost solar-driven photoelectrochemical hydrogen evolution.

This article reports the development of CuO|CuBiO photocathodes stabilized by protective layers of TiO, MgO, or NiO, with Pt or MoS nanoparticles serving as co-catalysts to facilitate H evolution. Most notably, this work demonstrates the first application of MgO as a protection/passivation layer for photocathodes in a water-splitting cell. All configurations of photocathodes were studied structurally, morphologically, and photoelectrochemically revealing that CuO|CuBiO|MgO|Pt photocathodes achieve the highest stable photocurrent densities of -200 μA cm for over 3 hours with a Faradaic efficiency of ∼90%.

Repeated fuel treatments fall short of fire-adapted regeneration objectives in a Sierra Nevada mixed conifer forest, USA.

Fire exclusion over the last two centuries has driven a significant fire deficit in the forests of western North America, leading to widespread changes in the composition and structure of these historically fire-adapted ecosystems. Fuel treatments have been increasingly applied over the last few decades to mitigate fire hazard, yet it is unclear whether these fuel-focused treatments restore the fire-adapted conditions and species that will allow forests to persist into the future. A vital prerequisite of restoring fire-adaptedness is ongoing establishment of fire-tolerant tree species, and both the type and reoccurrence of fuel treatments are likely to strongly influence stand trajectories.

Understanding and modeling human-AI interaction of artificial intelligence tool in radiation oncology clinic using deep neural network: a feasibility study using three year prospective data.

Artificial intelligence (AI) based treatment planning tools are being implemented in clinic. However, human interactions with such AI tools are rarely analyzed. This study aims to comprehend human planner's interaction with the AI planning tool and incorporate the analysis to improve the existing AI tool.