Sacred Heart University

Predicting corporate culture using machine learning

This study utilizes machine learning (ML) to examine factors that predict corporate culture. Integrating firm financial metrics and nonfinancial factors, we evaluate eight ML models to identify the most effective one for predicting culture and the key factors for cultural values...

Empowering Diversity: Exploring Intersectional Theory in Healthcare Education

The erosion of Diversity, Equity, and Inclusion (DEI) initiatives in health education necessitates a robust pedagogical response that incorporates intersectionality as a foundational framework. This article explores the integration of intersectionality into graduate health admini...

Planning a Clinical Practice Guideline Revision for a Core Set of Outcome Measures in Adults Undergoing Neurologic Physical Therapy, Part 1: Assessing Dissemination and Scholarly Uptake

ABSTRACT Introduction Clinical Practice Guidelines (CPGs) facilitate evidence‐based decision‐making and standardising care, yet their dissemination and scholarly uptake vary widely. The Core Set of Outcome Measures for Adults With Neurologic Conditions Undergoing Rehabilitation C...

Reproducibility, Replicability, and Research Quality in Homogeneous Catalysis

Abstract Researchers from all sectors of homogeneous catalysis convened in response to concerns regarding reproducibility in science to analyze the issue and provide recommendations. In addition to an in-person workshop, the group engaged the broader homogeneous catalysis communi...