The interstellar medium is highly structured, presenting a range of morphologies across spatial scales. large data sets resulting from observational surveys and state-of-the-art simulations studying these hierarchical structures means that identification classification must be done in an automated fashion to efficient. Here we present RJ-plots, improved version the morphological technique J-plo...

Objectives Health care organizations are increasingly employing social workers to address patients' needs. However, work (SW) activities in health settings largely captured as text data within electronic records (EHRs), making measurement and analysis difficult. This study aims extract classify, from EHR notes, interventions intended needs using natural language processing (NLP) machine learnin...