3 resultados para Points and lines
em QSpace: Queen's University - Canada
Resumo:
Objectives: Coaches are a primary influence on athletes' development in youth sport (Horn, 2008). However, the intervention tone of coaches' behaviour has not been directly observed. The purpose of this study was to examine associations between the intervention tone exhibited by youth sport coaches and athletes' individual developmental trajectories over the course of a season. Design: Short-term longitudinal study with behavioural observation. Method: Fifty-five athletes and their coaches from five youth volleyball teams were observed at three time points, and the intervention tone of interactive behaviour was systematically coded and organized by coach-athlete dyad. Athletes completed measures of the 4C's of athlete development (competence, confidence, connection, character) at each time point, which were used to create individualized developmental trajectories. Person-centred analyses were used to examine associations between athletes' developmental trajectories and their unique interactive experiences with their coach. Results: Cluster analysis revealed the presence of three distinct clusters based on athletes' developmental trajectories: 1) high and increasing, 2) low and decreasing, and 3) moderate and maintaining, with athletes from each team distributed across clusters. Analysis of dyadic interaction profiles revealed significant differences in interactive behaviour between clusters. Conclusions: Results suggest that differences in coach-athlete interactive experiences are associated with different developmental trajectories over the course of a season, even for athletes working with the same coach, highlighting the individualized nature of coaches' influence on young athletes. Practical implications for coaches include a critical awareness of their unique interactive relationship with each athlete independently, as well as the importance of fostering these relationships with regard to young people as more than just athletes.
Resumo:
This dissertation focuses on industrial policy in two developing countries: Peru and Ecuador. Informed by comparative historical analysis, it explains how the Import-Substitution Industrialization policies promoted during the 1970s by military administration unravelled in the following 30 years under the guidance of Washington Consensus policies. Positioning political economy in time, the research objectives were two-fold: understanding long-term policy reform patterns, including the variables that conditioned cyclical versus path-dependent dynamics of change and; secondly, investigating the direction and leverage of state institutions supporting the manufacturing sector at the dawn, peak and consolidation of neoliberal discourse in both countries. Three interconnected causal mechanisms explain the divergence of trajectories: institutional legacies, coordination among actors and economic distribution of power. Peru’s long tradition of a minimal state contrasts with the embedded character of Ecuador long tradition of legal protectionism dating back to the Liberal Revolution. Peru’s close policy coordination among stakeholders –state technocrats and business elites- differs from Ecuador’s “winners-take-all” approach for policy-making. Peru’s economic dynamism concentrated in Lima sharply departs from Ecuador’s competitive regional economic leaderships. This dissertation paid particular attention to methodology to understand the intersection between structure and agency in policy change. Tracing primary and secondary sources, as well as key pieces of legislation, became critical to understand key turning points and long-term patterns of change. Open-ended interviews (N=58) with two stakeholder groups (business elites and bureaucrats) compounded the effort to knit motives, discourses, and interests behind this long transition. In order to understand this amount of data, this research build an index of policy intervention as a methodological contribution to assess long patterns of policy change. These findings contribute to the current literature on State-market relations and varieties of capitalism, institutional change, and policy reform.
Resumo:
This paper presents a solution to part of the problem of making robotic or semi-robotic digging equipment less dependant on human supervision. A method is described for identifying rocks of a certain size that may affect digging efficiency or require special handling. The process involves three main steps. First, by using range and intensity data from a time-of-flight (TOF) camera, a feature descriptor is used to rank points and separate regions surrounding high scoring points. This allows a wide range of rocks to be recognized because features can represent a whole or just part of a rock. Second, these points are filtered to extract only points thought to belong to the large object. Finally, a check is carried out to verify that the resultant point cloud actually represents a rock. Results are presented from field testing on piles of fragmented rock. Note to Practitioners—This paper presents an algorithm to identify large boulders in a pile of broken rock as a step towards an autonomous mining dig planner. In mining, piles of broken rock can contain large fragments that may need to be specially handled. To assess rock piles for excavation, we make use of a TOF camera that does not rely on external lighting to generate a point cloud of the rock pile. We then segment large boulders from its surface by using a novel feature descriptor and distinguish between real and false boulder candidates. Preliminary field experiments show promising results with the algorithm performing nearly as well as human test subjects.