Bowling ball dynamics revealed by miniature wireless MEMS inertial measurement unit

This paper presents a novel sensor technology to deduce the dynamics of a bowling ball. The sensor, a miniature wireless inertial measurement unit (IMU), incorporates MEMS accelerometers and angular rate gyros, a microcontroller, a low power RF transceiver, and a rechargeable battery. When embedded in a bowling ball, the IMU transmits the acceleration and angular velocity data that define the dynamics of the ball starting with the bowler’s delivery and its motion in the lane. Example results from professional bowlers illustrate how this technology can be used to assess bowler skill and ball performance. For instance, the IMU accurately measures the spin dynamics of the ball which are crucial to develop the ball “hook.” An analysis of ball dynamics in the lane is distilled to a measurable “hook potential” metric for further assessing bowler skill. Finally, the sensor presented herein is believed to be the world’s smallest, wireless IMU. This highly miniaturized and wireless design will enable parallel training systems for many sports, including basketball, baseball, crew, cricket, golf, fly fishing, soccer, softball, tennis, rowing, among others.     

Design,implementation, and evaluation of a multi-disciplinary professional development program for research mentors

ABSTRACT

Undergraduate research experience has been shown to enhance student learning and improve persistence in science, technology, engineering, and mathematics (STEM). Researchers studying undergraduate research experiences have largely focused on student outcomes and have seldom investigated the outcomes of graduate and postdoctoral mentors. Here, we report a non-credit, year-long mentor professional development program designed for graduate students, postdoctoral scholars, and research staff in STEM. Mentors attended a series of six interactive and discussion-based workshops and mentored first-year undergraduate students in independent summer research projects. We report evaluation findings for three mentor cohorts using a combination of qualitative analysis of mentoring philosophies and quantitative assessment of pre- and post-surveys about mentoring objectives and skills. Results indicate that mentors gained self-efficacy in some objectives and skills. However, many other objectives and skills remained unchanged. We explore possible explanations for the lack of more broad-scale gains across survey items and present ideas for program improvement.     

Students’ perceptions of an interdisciplinary global study tour: uncovering inexplicit employability skills

ABSTRACT

For higher education graduates to be effective in the workplace, they require strong technical skills and the capability to operate across diverse knowledge landscapes to solve real world problems. At an Australian university, an interdisciplinary, short-term study tour programme was utilised to enhance students’ inexplicit employability skills with a focus on managing complexity while developing agility and creativity. To investigate the effectiveness of such a programme, we examined students’ perceptions of an interdisciplinary teamwork assessment task that was undertaken in an international context via a study tour model. We achieved this by, first, introducing a purposely designed interdisciplinary teamwork assessment task, which focused on students presenting innovative ideas to peers and industry members. Second, we elicited student responses via a case study approach that incorporated mixed methods, utilising several data collection instruments prior to, during, and after students participated in a study tour. The findings suggest that integrating a purposely designed interdisciplinary teamwork assessment task, via a short-term study tour model, uncovered certain inexplicit employability skills, namely managing complexity, developing agility and creativity. We make specific recommendations to support this insight, contributing to the mobility teaching and learning research field.     

Yoga for seniors: understanding their beliefs and barriers to participation

ABSTRACT

Yoga has been found to provide numerous health benefits to older adults including preventing or slowing physical frailty and subsequent functional limitations. The purpose of this study was to examine pre-frail or frail older adults’ beliefs about yoga as well as to identify barriers to participation. We recruited 37 older adults from a Faint, Fall, and Frailty Clinic at a medical center and asked them to complete questionnaires regarding their physical health and beliefs about yoga using the Beliefs About Yoga Scale. Frailty and fall risk were obtained through electronic health records. Participants’ had mean age of 72.81 years. Participants were considered to be prefrail (66.7%) or frail (33.3%), and most (78.4%) had fallen at least once in the past year. Over 72% of participants engaged in light physical activity. The BAYS mean score was 59.17 (SD = 12.5; Range 11–77). Higher scores indicted more optimistic beliefs about yoga. Over 90% of participants had not practiced yoga, 97.1% had no intentions to practice, 61.8% did not know locations placed where yoga classes were offered, 82.4% were unsure about the costs associated with yoga, and only 56.3% reported having transportation. The three primary barriers to practicing yoga were perceived difficulty of yoga practice, lack of motivation, and fear of injury. Participants held positive beliefs about yoga, yet had limited experience and little intention to participate indicating a need to provide targeted educational interventions to this population of older adults.     

Medical knowledge discovery systems: data abstraction and performance measurement

Knowledge discovery systems can be traced back to their origin, artificial intelligence and expert systems, but use the modern technique of data mining for the knowledge discovery process. To that end, the technical community views data mining as one step in the knowledge discovery process, while the non-technical community seems to view it as encompassing all of the steps to knowledge discovery. In this exploratory study, we look at medical knowledge discovery systems (MKDSs) by first looking at three examples of expert systems to generate medical knowledge. We then expand on the use of data abstraction as a pre-processing step in the comprehensive task of medical knowledge discovery. Next, we look at how performance of a medical knowledge discovery system is measured. Finally, the conclusions point to a bright future for MKDSs, but an area that needs extensive development to reach its full potential.