Landmark Guided Probabilistic Roadmap Queries

A landmark based heuristic is investigated for reducing query phase run-time of the probabilistic roadmap (\PRM) motion planning method. The heuristic is generated by storing minimum spanning trees from a small number of vertices within the \PRM graph and using these trees to approximate the cost of a shortest path between any two vertices of the graph. The intermediate step of preprocessing the graph increases the time and memory requirements of the classical motion planning technique in exchange for speeding up individual queries making the method advantageous in multi-query applications. This paper investigates these trade-offs on \PRM graphs constructed in randomized environments as well as a practical manipulator simulation.We conclude that the method is preferable to Dijkstra's algorithm or the ${\rm A}^*$ algorithm with conventional heuristics in multi-query applications.Comment: 7 Page

Getting 1% Every Day: An Exploratory Case Study about Growth Mindset in a Collegiate Athletic Setting

This study explored the impact of a coach implementing growth mindset at a faith-based, liberal arts institution in the Midwest. The purpose of this study was to determine if there was any impact on student-athletes being under a coaching philosophy rooted in growth mindset. Results from the study indicate the positive impact of implementing growth mindset from the perspective of both the head coach and the student-athletes. Despite the exploratory nature of the study, the head coach’s philosophy is affirmed as a positive influence to help student-athletes improve in skill and ability

The Church in Italy

A pamphlet describing Churches of Christ in Italy, conversions from Catholicism, information about Italian missionaries and preachers, and exhortations to support these missionaries.https://digitalcommons.acu.edu/crs_books/1463/thumbnail.jp