Improving the design of squat machine using motion capture and virtual prototyping

Dynamic squat is one of the most executed fitness exercise. Its use is widespread both for rehabilitation and training purposes. Several typologies of the squat exercise can be performed. The most important are the front squat and the back squat. In the front squat the barbell is held in front of the body across the clavicles and deltoids, while in the back squat exercise the bar is held on the back of the body at the base of the neck. In this paper we will refer to dynamic back squat. The squat exercise can be performed with or without the help of a machine that has the scope of guiding the person during the movement and ensuring his stability and safety. The use of this type of machine is often necessary when the workout is heavy and the risk of incorrect exercise and injuries is high. On the other hand, the rigid structure of this device often overconstrains the lifting movement. From all these observations, the purpose of the paper is to discuss an alternative design of a mechanism able to maintain the advantage to allow a free-body execution and to preserve the safety of the athletes as well. The proposed mechanism has been designed starting from an anthropometric study on the squat movement. This has been performed by using a motion capture system and applying computer-aided engineering techniques. The design activity started from the experimental investigation of the trajectory of the barbell during the natural execution of the unrestricted back squat exercise. The tests have been performed on several subjects with different mass, anthropometry and gender. In a second phase, the data have been processed and analyzed and a specific mechanism, able to reproduce the natural trajectories, has been synthetized. Finally, the design and optimization of the entire structure has been performed through the use of virtual prototyping techniques.     

An interpretative model from the elasticity theory to explore knowledge integration in new product development

This paper presents a conceptual model to explore the knowledge integration (KI) practices of internal and external company actors involved in the New Product Development (NPD) process of the aerospace industry. The model is based on the linkage of elasticity principles, particularly Hooke’s Law, to Knowledge Management theory. KI practices are considered as a force pushing the NPD process and are metaphorically described as the spring addressed by Hooke’s law. The integration of the knowledge of internal and external company actors impacts NPD, reducing the dimensions of the whole process, in terms of phases, through the application of the concurrent engineering approach. The whole NPD process is improved in terms of the reduction of uncertainty and complexity, and with an ‘integrated energy’ that sustains the pressure of the fast-changing competitive environment. The model is explored to provide an interpretation of the conceptualisation phase of a new aerospace product development process. Qualitative data were collected and analysed. Insights regarding the applications of the model and the theoretical implications are also provided for applications in other industries.     

Network time for the European Higher Education Area

Abstract

In this article, we discuss the process of standardization of Higher education (HE) initiated by the Bologna Process bringing to the forefront the temporal politics of the standardization of European Higher Education Arena (EHEA). Empirically, we perform a comparative review of the Scorecards indicators at the base of the Bologna Process monitoring project. We argue that the fabrication of EHEA could be seen as the installation of new time-space ‘time’ and ‘space’ appear inevitably intertwined. Instead of being a simple addition, the time space of EHEA interferes with the multiple time spaces of educational institutions and is characterized by being a network time, an unbroken and fragmented temporality sustained, enacted through, and controlled by the fluidity and the malleability of standards. They change recurrently over time, playing with different rhythms. What emerges is an overall arrhythmia that maintains the field permanently in tension. This reconfigures temporality as intrinsically manifold: as multiple and heterogeneous. Moreover, the temporal politics of standards reconfigures perception of past, present and especially future. The current state of implementation is constantly being (re)shaped in relation to the present and future performances, where’s one today level of EHEA targets achievement forms the basis for improvement tomorrow. In this scenario, assessing standards and headline targets become a policy instrument for synchronizing the countries performances, by locating them in a temporal framework that encodes future-oriented dispositions.     

Contemporary approaches to learning science: technologically-mediated practical work

This paper describes the current state of science education in Arab states and anticipates some of the challenges faced by those states as they reform their science education. After discussing problems of illiteracy, access and quality we provide contextual information about the structure of the educational systems and describe recent efforts to reform them. We focus on issues pertaining to science curriculum and textbooks, language, religion, student learning in science, science teacher education and science education research and summarise the challenges and opportunities for research faced in each area. We conclude the paper by proposing a set of policy and research recommendations that could aid in the development of lasting solutions for recurring problems.     

Benefiting colleagues but not the city: Localized effects from the relocation of superstar inventors

In this paper I examine episodes in which superstar inventors relocate to a new city. In particular, in order to assess whether the beneficial effects of physical proximity to a superstar have a restricted network dimension or a wider spatial breadth (spillovers), I estimate changes in patterns of patenting activity following these events for two different groups of inventors: the superstar's close collaborators, and all the other inventors in a given urban area, for both the locality where the superstar moves to and for the one that is left behind. In the case of collaborators, I restrict the attention to patents realized independently from the superstar. The results from the event study register a large and persistent positive effect on the collaborators in the city of destination, as well as a simultaneous negative trend affecting those still residing in the previous location. In the long run, these effects translate into an increased difference between the two groups of about 0.16 patents per inventor. Conversely, no city-wide spillover effect can be attested, offering little support to place-based policies aimed at inducing a positive influx of top innovators in urban areas.     

Bayesian network based extreme learning machine for subjectivity detection

Subjectivity detection is a task of natural language processing that aims to remove ‘factual’ or ‘neutral’ content, i.e., objective text that does not contain any opinion, from online product reviews. Such a pre-processing step is crucial to increase the accuracy of sentiment analysis systems, as these are usually optimized for the binary classification task of distinguishing between positive and negative content. In this paper, we extend the extreme learning machine (ELM) paradigm to a novel framework that exploits the features of both Bayesian networks and fuzzy recurrent neural networks to perform subjectivity detection. In particular, Bayesian networks are used to build a network of connections among the hidden neurons of the conventional ELM configuration in order to capture dependencies in high-dimensional data. Next, a fuzzy recurrent neural network inherits the overall structure generated by the Bayesian networks to model temporal features in the predictor. Experimental results confirmed the ability of the proposed framework to deal with standard subjectivity detection problems and also proved its capacity to address portability across languages in translation tasks.     

A Three‐Dimensional Approach and Open Source Structure for the Design and Experimentation of Teaching‐Learning Sequences: The case of friction

We have developed a teaching‐learning sequence (TLS) on friction based on a preliminary study involving three dimensions: an analysis of didactic research on the topic, an overview of usual approaches, and a critical analysis of the subject, considered also in its historical development. We found that mostly the usual presentations do not take into account the complexity of friction as it emerges from scientific research, may reinforce some inaccurate students’ conceptions, and favour a limited vision of friction phenomena. The TLS we propose begins by considering a wide range of friction phenomena to favour an initial motivation and a broader view of the topic and then develops a path of interrelated observations, experiments, and theoretical aspects. It proposes the use of structural models, involving visual representations and stimulating intuition, aimed at helping students build mental models of friction mechanisms. To facilitate the reproducibility in school contexts, the sequence is designed as an open source structure, with a core of contents, conceptual correlations and methodological choices, and a cloud of elements that can be re‐designed by teachers. The sequence has been tested in teacher education and in upper secondary school, and has shown positive results in overcoming student difficulties and stimulating richer reasoning based on the structural models we suggested. The proposed path has modified the teachers’ view of the topic, producing a motivation to change their traditional presentations. The open structure of the sequence has facilitated its implementation by teachers in school in coherence with the rationale of the proposal.     

The social-cognitive mechanisms regulating adolescents' use of doping substances

In this study, we assessed the longitudinal effects of social-cognitive mechanisms on the self-reported use of doping substances and supplements among Italian high school students. In total, 1232 students completed questionnaires measuring various psychological factors hypothesized to influence students' intention to use substances. Three months later, 762 of the students completed the same questionnaires a second time and also reported their use of substances during the time between assessments. Overall, the percentages of students using doping substances (2.1%) or supplements (14.4%) were consistent with values reported in the literature. Analysis of the data showed that adolescents' intention to use doping substances increased with stronger attitudes about doping, stronger beliefs that significant others would approve of their use, a stronger conviction that doping use can be justified, and a lowered capacity to resist situational pressure or personal desires. In turn, stronger intentions and moral disengagement contributed to a greater use of doping substances during the previous 3 months. Doping use was also correlated significantly to supplementation. In conclusion, our results provide novel information about some of the psychological processes possibly regulating adolescents' use of doping substances and supplements. The results also highlight possible areas for future study and intervention, focusing on the prevention of adolescents' substance use.     

Students' transition into higher education: The role of self-efficacy,regulation strategies,and academic achievements

Transition into higher education (HE) has received increased interest in recent years, since it represents a challenging period for students. The aim of this study was to further understand the associations between self-efficacy, academic achievements, and regulation in first-year university students during their transition into HE. The convenience sample consisted of 374 first-year university students (230 females, 61.5%), aged from 18 to 33 (M = 19.86, SD = 1.51) and recruited from an Italian university. Self-efficacy was assessed using the Motivated Strategies for Learning Questionnaire; regulation strategies were assessed with the Inventory of Learning Patterns of Students; and a self-reported grade point average was taken as an indicator of each student's academic performance. Result shows that students' self-efficacy was positively associated with self-regulation and negatively associated with a lack of regulation. Students with higher self-efficacy and self-regulation strategies had better academic performance. Female students performed better in academic activities and adopted more external regulation strategies. The findings represent an opportunity for university institutions to consider the interventions they provide to first-year students in order to facilitate the successful transition from secondary school; they also provide researchers with further knowledge about the effect of self-efficacy, and regulation strategies on students' adjustment to HE.