Personal characteristics of athletes, as well as their body satisfaction, anxiety, impression motivation and threat perception and coach comments on their weight, represent dimensions that could raise the risk for eating disorders.

This study analyzes eating disordered behaviors in a sample of Portuguese athletes and explores its relationship with some psychological dimensions. Two hundred and ninety nine athletes (153 male, 51.2%) practicing collective (65.2%) or individual sports (34.8%) were included. The assessment protocol included the Eating Disorder Examination Questionnaire (EDE-Q) (Fairburn & Beglin, 1994); the Sport Condition Questionnaire (Bruin et al., 2007; Hall et al., 2007); the Sport Anxiety Scale (Smith et al., 2006); the Task and Ego Orientation in Sport Questionnaire (Duda, 1992; Duda & Whitehead, 1998); the Cognitive Evaluation of Sport–Threat Perceptions (Cruz, 1994; Lazarus, 1991); and the Self-Presentation Exercise Questionnaire (Gammage et al., 2004). Results revealed that: i) no case of clinical significance was detected in the four dimensions of the EDE-Q simultaneously; ii) females scored higher on the EDE-Q Global Score, and athletes with the better sport results scored higher on the Restraint subscale; iii) athletes with a higher desire to weigh less scored higher on the EDE-Q Global Score; iv) athletes with lower scores on EDE-Q displayed more positive results on the psychological measures; v) several psychological dimensions were identified as predictors of eating disordered behaviors. In conclusion, the prevalence of eating disordered behaviors was negligible in this study, yet the relationship of this problem with personal, sport and psychological factors was evident.

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Nowadays, ultimate tensile strengths above 400 MPa become usual for ductile irons, thus allowing the implementation of new design paradigms. Large concentrations of carbon and other influencing elements can negatively interfere with the welding process of ductile cast irons. Efforts made by researchers have led to the discovery of solutions which enable good enough operational results to consider welding as a viable repairing or joining method. Although these alloys have been available for quite some time, researchers have mainly focused on issues relating to microstructural phenomena tied to casting and similar processes, leaving much to explore in terms of their weldability. Thus, this work intends to investigate the effect of different heat-treatments on the weldability of a high strength ductile cast iron by assessing the mechanical properties of welded joints as well as structural modifications induced by thermal cycles imposed before and after welding. Successful weld joints were achieved showing a clear heat affected zone (HAZ) close to the joint area. This area is coincident with the fracture area of the welded samples when loaded on a tensile test bench, having obtained promising results regarding mechanical strength and strain. The hardness of the welded zone was also carefully investigated, showing clear changes throughout the joint.

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A major challenge in constructing a Bayesian network (BN) is defining the node probability tables (NPT), which can be learned from data or elicited from domain experts. In practice, it is common not to have enough data for learning, and elicitation from experts is the only option. However, the complexity of defining NPT grows exponentially, making their elicitation process costly and error-prone. In this research, we conducted an exploratory study through a literature review that identified the main issues related to the task of probability elicitation and solutions to construct large-scale NPT while reducing the exposure to these issues. In this chapter, we present in detail three semiautomatic methods that reduce the burden for experts. We discuss the benefits and drawbacks of these methods, and present directions on how to improve them.

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