Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders.

Predictive maintenance is considered a proactive approach that capitalizes on advanced sensing technologies and data analytics to anticipate potential equipment malfunctions, enabling cost savings and improved operational efficiency. For journal bearings, predictive maintenance assumes critical significance due to the inherent complexity and vital role of these components in mechanical systems. The primary objective of this study is to develop a data-driven methodology for indirectly determining the wear condition by leveraging experimentally collected vibration data.

Deferred Action for Childhood Arrivals (DACA): Maximizing Impacts in Medical Education and Health Care.

Introduction: Deferred Action for Childhood Arrivals (DACA) provides a path for individuals who are undocumented to join the physician workforce. Indeed, recipients of DACA can play an important role in addressing health inequities in medicine. Although DACA has been in place since 2012, many medical schools remain unaware of it or are hesitant to consider recipients for admission.