FREDA: A Web Application for the Processing, Analysis, and Visualization of Fourier-Transform Mass Spectrometry Data.

Rationale: The high-resolution measurement capability of Fourier-transform mass spectrometry (FT-MS) has made it a necessity for exploring the molecular composition of complex organic mixtures, like soil, plant, aquatic, and petroleum samples. This demand has driven a need for informatics tools to explore and analyze FT-MS data in a robust and reproducible manner.

Methods: FREDA is an interactive web application developed to enable spectrometrists to format, process, and explore their FT-MS data without the need for statistical programming expertise.

Forgiveness and Religiosity Among Nurses: A Correlational Descriptive Study.

The purpose of the study was to explore how nurses' religious beliefs affect their ability to forgive themselves and others. A descriptive correlational study was conducted. The data were collected using an online survey via Qualtrics using three validated tools Enright Forgiveness Inventory - 30 (to measure forgiveness of others), Enright Self-Forgiveness Inventory (to measure forgiveness of self), and Duke University Religious Index (to measure religiosity).

Identifying Sample Provenance From SEM/EDS Automated Particle Analysis via Few-Shot Learning Coupled With Similarity Graph Clustering.

Automated particle analysis (APA) provides a vast amount of compositional data via energy-dispersive X-ray spectroscopy along with size and shape data via scanning electron microscopy for individual particles in a sample. In many instances, APA data are leveraged to support identification of the source of a sample based on the detection of particles of a specific composition. Often, the particles that provide context make up a minuscule portion of the sample.

Self-Reported Religiosity and Spirituality of Registered Nurses in Virginia.

The professional nurse cares for an increasingly diverse population, varying in ethnicity, culture, and faith beliefs that influence health and wellness. The moral obligation of the nurse to provide individualized, holistic care of clients includes spiritual care. Supported by the Agape Model of Nursing, nurses should understand their personal religiosity and its impact on the care they provide.

Fine-tuning TrailMap: The utility of transfer learning to improve the performance of deep learning in axon segmentation of light-sheet microscopy images.

Light-sheet microscopy has made possible the 3D imaging of both fixed and live biological tissue, with samples as large as the entire mouse brain. However, segmentation and quantification of that data remains a time-consuming manual undertaking. Machine learning methods promise the possibility of automating this process.