OpenSim-Based Musculoskeletal Modeling: Foundation for Interactive Obstetric Simulator

The use of mathematical and computational models to understand complex biological systems, such as the human birth process, is a rapidly growing field in medicine. These models can be used to optimize and personalize medical treatments for individual patients, enhance training, and aid in educational efforts. While recent advancements in healthcare, particularly in obstetrics, have improved care for mothers and babies, studies and government reports indicate a rising rate of maternal mortality in the United States. Despite this rising trend, there is a lack of detailed studies concerning the use of modeling and simulation to develop an interactive obstetrics simulator that can aid both practitioners and patients. This research builds upon a novel template for developing an interactive obstetric simulator and aims to replicate an onerous finite element vaginal delivery simulation with an interactive, patient-specific simulator that emphasizes musculoskeletal dynamics. The study utilizes the open-source platform of OpenSim and inverse-kinematic solutions to develop fetal and maternal musculoskeletal models and simulate birth on the musculoskeletal level

DeapSECURE Computational Training for Cybersecurity: Third-Year Improvements and Impacts

The Data-Enabled Advanced Training Program for Cybersecurity Research and Education (DeapSECURE) was introduced in 2018 as a non-degree training consisting of six modules covering a broad range of cyberinfrastructure techniques, including high performance computing, big data, machine learning and advanced cryptography, aimed at reducing the gap between current cybersecurity curricula and requirements needed for advanced research and industrial projects. By its third year, DeapSECURE, like many other educational endeavors, experienced abrupt changes brought by the COVID-19 pandemic. The training had to be retooled to adapt to fully online delivery. Hands-on activities were reformatted to accommodate self-paced learning. In this paper, we describe and assess the third and fourth years of the project and compare them with the first half of the project, which implemented in-person instruction. We also indicate major improvements and present future opportunities for this training program to advance the cybersecurity field