A Radar Echo Simulator for the Synthesis of Randomized Training Data Sets in the Context of AI-Based Applications.

Supervised machine learning algorithms usually require huge labeled data sets to produce sufficiently good results. For many applications, these data sets are still not available today, and the reasons for this can be manifold. As a solution, the missing training data can be generated by fast simulators.

Once in the Door, Grit May Matter More: An Evaluation of Grit in Medical Students.

Introduction: Health professions educators seek understanding of the process of learner performance and achievement. Grit, defined as passion and perseverance for long-term goals, has been implicated in this process. Research suggests that effort counts twice in achievement: skill times effort equals skill and, subsequently, skill times effort equals achievement.

An international practitioner data bank as a quality tool.

While international tort costs have not reached the level of those in the United States, international medical employers, like their American counterparts, must be able to ascertain updated objective information regarding the physicians they are going to employ, in order to protect their patients and organizations from the increasing risks in today's medical environment. The NPDB set up in the United States by the United States Congress provides a structure that can record and set standards for professional reviews. While the data bank established in the United States can still be considered a new entity, and the exact impact it has on quality, peer review and risk management is still being judged, it is the first step towards an organized, objective governing body.