A study of the situations, features, and coping mechanisms experienced by Irish psychiatric nurses experiencing moral distress

Purpose: The purpose of this study was toinvestigate moral distress in Irish psychiatric nurses. Design: A qualitative descriptive methodology was used. Findings: The study confirmed the presence of moral distress and the situations that gave rise to moral distress within psychiatric nurses working in acute care settings. Practice Implications: The findings indicate that while multidisciplinary teams appear to function well on the surface, situations that give rise to moral distress are not always acknowledged or dealt with effectively. Furthermore, unresolved moral conflict impacts upon the quality of clinical decision-making by not allowing open and transparent discussions that allow clinicians the opportunity to address their concerns adequately.

Comparative survey of the relative impact of mRNA features on local ribosome profiling read density

Ribosome profiling (Ribo-seq), a promising technology for exploring ribosome decoding rates, is characterized by the presence of infrequent high peaks in ribosome footprint density and by long alignment gaps. Here, to reduce the impact of data heterogeneity we introduce a simple normalization method, Ribo-seq Unit Step Transformation (RUST). RUST is robust and outperforms other normalization techniques in the presence of heterogeneous noise. We illustrate how RUST can be used for identifying mRNA sequence features that affect ribosome footprint densities globally. We show that a few parameters extracted with RUST are sufficient for predicting experimental densities with high accuracy. Importantly the application of RUST to 30 publicly available Ribo-seq data sets revealed a substantial variation in sequence determinants of ribosome footprint frequencies, questioning the reliability of Ribo-seq as an accurate representation of local ribosome densities without prior quality control. This emphasizes our incomplete understanding of how protocol parameters affect ribosome footprint densities.