Basketball retirement: process and outcomes

Retirement from a sport career represents a turning point in the life of a sportsman. The aim of this study was to determine how the process of withdrawal of professional basketball players and the factors that influence it. Using a qualitative methodology, semi-structured interviews were conducted with 6 professional players focusing on their experiences during the process. Analysis of the interviews revealed the need to treat this process from a multidimensional perspective, as several factors interact. The results obtained show that the players assign great importance to the economic, academic and adjustment difficulties. Consequently, we discuss the need for specific assistance programs for these athletes, regardless of their previous professional level.

Selection, training and validation process of a sensory panel for bread analysis: Influence of cultivar on the quality of breads made from common wheat and spelta wheat

A protocol of selection, training and validation of the members of the panel for bread sensory analysis is proposed to assess the influence of wheat cultivar on the sensory quality of bread. Three cultivars of bread wheat and two cultivars of spelt wheat organically-grown under the same edaphoclimatic conditions were milled and baked using the same milling and baking procedure. Through the use of triangle tests, differences were identified between the five breads. Significant differences were found between the spelt breads and those made with bread wheat for the attributes ?crumb cell homogeneity? and ?crumb elasticity?. Significant differences were also found for the odor and flavor attributes, with the bread made with ?Espelta Navarra? being the most complex, from a sensory point of view. Based on the results of this study, we propose that sensory properties should be considered as breeding criteria for future work on genetic improvement.

Building intuition of iron evolution during solar cell processing through analysis of different process models

An important aspect of Process Simulators for photovoltaics is prediction of defect evolution during device fabrication. Over the last twenty years, these tools have accelerated process optimization, and several Process Simulators for iron, a ubiquitous and deleterious impurity in silicon, have been developed. The diversity of these tools can make it difficult to build intuition about the physics governing iron behavior during processing. Thus, in one unified software environment and using self-consistent terminology, we combine and describe three of these Simulators. We vary structural defect distribution and iron precipitation equations to create eight distinct Models, which we then use to simulate different stages of processing. We find that the structural defect distribution influences the final interstitial iron concentration ([Fe-i]) more strongly than the iron precipitation equations. We identify two regimes of iron behavior: (1) diffusivity-limited, in which iron evolution is kinetically limited and bulk [Fe-i] predictions can vary by an order of magnitude or more, and (2) solubility-limited, in which iron evolution is near thermodynamic equilibrium and the Models yield similar results. This rigorous analysis provides new intuition that can inform Process Simulation, material, and process development, and it enables scientists and engineers to choose an appropriate level of Model complexity based on wafer type and quality, processing conditions, and available computation time.

System theory based hazard analysis applied to the process industry

Chemical process accidents still occur and cost billions of dollars and, what is worse, many human lives. That means that traditional hazard analysis techniques are not enough mainly owing to the increase of complexity and size of chemical plants. In the last years, a new hazard analysis technique has been developed, changing the focus from reliability to system theory and showing promising results in other industries such as aeronautical and nuclear. In this paper, we present an approach for the application of STAMP and STPA analysis developed by Leveson in 2011 to the process industry.