Anatomical Sciences Education Vol. 4, Issue 3, 2011 Cover Image

Medical Gross Anatomy lecture at the University of Padova, Italy. Gross Anatomy at the University of Padova is taught utilizing both traditional and technological resources, which are integrated with practical laboratory exercises (mainly on plastic models and plastinated specimens) as well as radiological anatomy. In this issue of ASE, Dr. Veronica Macchi and her colleagues from the Department of Human Anatomy and Physiology at the University of Padova discuss an innovative pilot project with their University Hospital in which they obtain body parts removed from patients during surgical procedures and utilize them for gross anatomy education. The cover photograph shows one of the co‐authors of this paper, Professor Raffaele De Caro and his students, performing dissection of the distal forearm and hand in the anatomy lecture theater at the University of Padova.     

Novel model reference adaptive control laws for improved transient dynamics and guaranteed saturation constraints

In classical model reference adaptive control (MRAC), the adaptive rates must be tuned to meet multiple competing objectives. Large adaptive rates guarantee rapid convergence of the trajectory tracking error to zero. However, large adaptive rates may also induce saturation of the actuators and excessive overshoots of the closed-loop system’s trajectory tracking error. Conversely, low adaptive rates may produce unsatisfactory trajectory tracking performances. To overcome these limitations, in the classical MRAC framework, the adaptive rates must be tuned through an iterative process. Alternative approaches require to modify the plant’s reference model or the reference command input. This paper presents the first MRAC laws for nonlinear dynamical systems affected by matched and parametric uncertainties that constrain both the closed-loop system’s trajectory tracking error and the control input at all times within user-defined bounds, and enforce a user-defined rate of convergence on the trajectory tracking error. By applying the proposed MRAC laws, the adaptive rates can be set arbitrarily large and both the plant’s reference model and the reference command input can be chosen arbitrarily. The user-defined rate of convergence of the closed-loop plant’s trajectory is enforced by introducing a user-defined auxiliary reference model, which converges to the trajectory tracking error obtained by applying the classical MRAC laws before its transient dynamics has decayed, and steering the trajectory tracking error to the auxiliary reference model at a rate of convergence that is higher than the rate of convergence of the plant’s reference model. The ability of the proposed MRAC laws to prescribe the performance of the closed-loop system’s trajectory tracking error and control input is guaranteed by barrier Lyapunov functions. Numerical simulations illustrate both the applicability of our theoretical results and their effectiveness compared to other techniques such as prescribed performance control, which allows to constrain both the rate of convergence and the maximum overshoot on the trajectory tracking error of uncertain systems.     

Multi-physics modelling and sensitivity analysis of olympic rowing boat dynamics

A multidisciplinary approach is implemented to model and analyse the performance of Olympic rowing boats. A reduced-order model that couples rowers motions with the hull, oars and hydrodynamic and hydrostatic forces is detailed. This model is complemented with a sensitivity analysis carried out by means of a non-intrusive polynomial chaos expansion. Sensitivity analysis results for two different boat classes, namely, a lightweight single scull and a coxless four are presented and discussed. This analysis contrasts, for both classes, the effects of varying forces exerted by the rowers, weights of rowers and cadence of motions on the boat performance.     

The public understanding of nanotechnology in the food domain: the hidden role of views on science, technology, and nature

In spite of great expectations about the potential of nanotechnology, this study shows that people are rather ambiguous and pessimistic about nanotechnology applications in the food domain. Our findings are drawn from a survey of public perceptions about nanotechnology food and nanotechnology food packaging (N = 752). Multinomial logistic regression analyses further reveal that knowledge about food risks and nanotechnology significantly influences people's views about nanotechnology food packaging. However, knowledge variables were unrelated to support for nanofood, suggesting that an increase in people's knowledge might not be sufficient to bridge the gap between the excitement some business leaders in the food sector have and the restraint of the public. Additionally, opposition to nanofood was not related to the use of heuristics but to trust in governmental agencies. Furthermore, the results indicate that public perceptions of nanoscience in the food domain significantly relate to views on science, technology, and nature.     

The impact of academic patenting on university research and its transfer

This paper contributes to the ongoing debate on the impact of academic patenting on publishing and knowledge transfer. Drawing upon two separate surveys of academics, and their CV information, we provide empirical evidence for UK academics in engineering and physical sciences. The contribution of this paper is two-fold. First, our findings show that (the intensity of) academic patenting complements publishing up to a certain level of patenting output, after which we find evidence of a substitution effect. We also find weak evidence of important differences across scientific fields with the more basic-oriented fields showing indications of a crowding-out effect. Second, our analysis of the potential impact of patenting on knowledge transfer shows a positive correlation between the stock of patents and engagement in knowledge transfer channels. However, we find that a substitution effect sets in, indicating an inverted U-shaped relationship between patenting and several knowledge transfer channels.     

The European university landscape: A micro characterization based on evidence from the Aquameth project

This paper provides a new and systematic characterization of 488 universities, from 11 European countries: Finland, France, Germany, Hungary, Italy, Netherlands, Norway, Portugal, Spain, Switzerland and UK. Using micro indicators built on the integrated Aquameth database, we characterize the European university landscape according to the following dimensions: history/foundation of university, dynamics of growth, specialization pattern, subject mix, funding composition, offer profile and productivity.     

Changes to university IPR regulations in Europe and the impact on academic patenting

This article develops a general framework to describe the changes in university IPR regulations in Europe and their effects on the patenting activities of universities and on knowledge transfer processes. Understanding the effects of changes in IPR regulations on academic patenting is a complex issue, and parallels with the US case can be misleading. First, despite the general trend towards institutional ownership, university IPR regulations in Europe remain extremely differentiated and there is no one-to-one mapping to the US system. Second, it is difficult to disentangle the quantitative and qualitative effects of changes in IPR ownership regulations on academic patenting activities from the effects of concurrent transformations in the institutional, cultural and organizational landscape surrounding academic knowledge transfer. The article proposes a review and typological classification of national university IPR ownership systems on the basis of their development since 2000, and uses it to analyze the aggregate dynamics of academic patent ownership in several European countries. The analysis of patterns of ownership of academic patents shows that there has been a general increase in university patenting since 1990, with a significant slowdown (and even reduction in some countries) after early 2000s accompanied by a switch in academic patents ownership in favor of university ownership though preserving the European specificity of high company ownership of academic invented patents.     

When ‘national innovation system’ meet ‘varieties of capitalism’ arguments on labour qualifications: On the skill types and scientific knowledge needed for radical and incremental product innovations

The literatures on ‘varieties of capitalism’ (VoC) and ‘national innovation systems’ (NIS) propose very similar arguments about how firms require different types of labour qualifications to pursue strategies of radical product innovation (RPI), incremental product innovation (IPI), and product imitation (PI) respectively. Despite their similar lines of reasoning, however, the VoC scholars are concerned with the skill profiles of a firm's entire workforce, whereas the NIS proponents focus on the knowledge base of scientists. Given that both literatures have developed without explicitly taking the arguments of the neighbouring discipline into account, it is thus unclear whether they explain the same, or different, phenomena. Furthermore, both literatures propose firm level arguments but test them on the basis of macro- rather than micro-level indicators. This paper therefore asks: first, does micro-level evidence support the VoC and NIS arguments that particular types of employee skills and knowledge backgrounds of scientists are needed for different competitive strategies? And, if so, do RPI, IPI, and PI firms need to employ scientists in combination with a workforce having the respective qualifications, or is it sufficient if scientists or employees alone are adequately qualified. Quantitative analyses indicate that a particular mix of scientific knowledge combined with employee skills facilitate RPI, IPI, and PI strategies. The article thus concludes that - despite their similar reasoning - the VoC and the NIS literatures indeed describe different phenomena, without being aware of the synergies created whenever adequate employee and scientific qualifications are hired together.     

英国大学专利技术转移研究及其借鉴意义

英国大学不仅在研究水平方面而且在与产业界的合作方面均处于全球领先的地位.本文以英国大学专利技术转移活动为研究对象,首先介绍了英国大学专利技术转移活动在许可合同数量和收入两个方面的情况,继而提出英国大学的大学技术转移中心和国家大学技术转移协会是大学专利技术转移活动的重要组织保障,优秀的研究成果和商业化、国际化意识的培养是大学专利技术转移活动的先决条件,政府法律法规的设立和政府项目的支持是大学专利技术转移活动的指导因素.最后,提出了英国大学专利技术转移对我国大学专利技术转移活动的借鉴意义.