426 research outputs found

    Medial-lateral loading and wear in TKA

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    Pre-clinical wear testing of Total Knee Arthroplasty has traditionally been carried out in a physical experiment [Fisher, 2002]. Recent computational models have been shown to have sufficient accuracy to be considered alongside these experiments [Knight, 2007]. These computational models use a relationship of wear volume proportional to the product of contact pressure, sliding distance and cross shear [Maxian, 1996]. Instrumented knees have recently shown that medial-lateral (ML) loads may be of similar magnitudes to that of the anterior-posterior (AP) load. The AP load is known to have a significant effect on the kinematics of the total knee replacement and so it is reasonable to assume that application of an ML load may have a similar degree of influence on kinematics. The effect of the ML load is hypothesised to increase the cross shear and hence the wear rate. At present, the ISO standard for testing TKA contains no provision for a ML load

    Deep Predictive Models for Collision Risk Assessment in Autonomous Driving

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    In this paper, we investigate a predictive approach for collision risk assessment in autonomous and assisted driving. A deep predictive model is trained to anticipate imminent accidents from traditional video streams. In particular, the model learns to identify cues in RGB images that are predictive of hazardous upcoming situations. In contrast to previous work, our approach incorporates (a) temporal information during decision making, (b) multi-modal information about the environment, as well as the proprioceptive state and steering actions of the controlled vehicle, and (c) information about the uncertainty inherent to the task. To this end, we discuss Deep Predictive Models and present an implementation using a Bayesian Convolutional LSTM. Experiments in a simple simulation environment show that the approach can learn to predict impending accidents with reasonable accuracy, especially when multiple cameras are used as input sources.Comment: 8 pages, 4 figure

    Influence of wear algorithm formulation on computational-experimental corroboration

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    Experimental wear testing is well-established as an important part of the TKR design process. Recently, in-silico models have proved their value to corroborate long-term in-vitro results on a much shorter timescale [1]. Both FE-based models & multi-body dynamics can be used to predict contact pressures, sliding distances and cross-shear (CS). The precise mechanisms of wear are not sufficiently understood to permit analytical calculations, and so empirical formulations are used to estimate wear depths & volumes.Most early simulations were based on a modified Archard/Lancaster formulation; more recently a number of alternative formulations for cross shear have been proposed; it is unclear which is the most robust or accurate for the widest range of activities. The aim of this study was to develop and corroborate a fast in-silico wear model, and use this to compare different wear formulations

    System integration office project missile system evaluation

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    Issued as Monthly technical reports no. [1-8], Project A-347

    Contemporary American craft and industrial unionism in theory and practice.

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    Thesis (M.A.)--Boston Universit

    Exploration of an on-site pharmacist intervention within Australian residential aged care facilities using normalisation process theory: A mixed-methods study

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    Residents living in residential aged care facilities (RACFs) continue to experience medication-related harm. There is ongoing interest in expanding the role of pharmacists, including on-site pharmacists (OSPs), to help improve medication management in RACFs. The objectives of this mixed-methods study were to explore the extent and ways in which on-site pharmacists (OSPs) were normalised within RACFs as part of a complex intervention seeking to improve medication management. This study consisted of semistructured interviews informed by normalisation process theory (NPT) and a quantitative survey adapted from the normalisation measure development questionnaire (NoMAD) instrument which is underpinned by NPT. Semistructured interviews with prescribers, RACF managers, RACF nursing staff, OSPs, residents, and family members (n = 47) indicated that most participants supported OSPs within RACFs that having OSPs in RACFs made sense and was perceived as beneficial and that participants were invested in working with OSPs who often became part of routine practice, i.e., “normalised.” Prescribers, RACF managers, and nursing staff (health care team members) completed the adapted survey, and their responses (n = 16) strongly complemented the positive qualitative findings. Overall, OSPs were positively appraised by health care team members as well as residents and family members and were generally considered to be normalised within their respective RACFs. This study explored the normalisation of OSPs within RACFs. From the perspective of residents, family members, health care team members, and OSPs, OSPs could become part of routine practice within Australian RACFs. The findings of this study also highlighted the value of using theory to guide the evaluation of a pharmacist intervention in RACFs and the utility of applying NPT in a new setting, Australian RACFs. Importantly, the findings of this study could help inform the future role of OSPs working and the rollout of OSPs within Australian RACFs
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