Political Psychology as Discipline and Resource

Around the 1960s, political psychology was developed as a field of knowledge that attempted to interrelate scientific psychology and political phenomena. However, social and academic conditions are very different today. More and more, political psychology is becoming a protagonist, as much in the internal context of psychology as in the external context of its relations with the social world. Thus, political psychology can now be seen as a resource relating psychological knowledge to social practice, and relating psychological processes to social action. Political psychology is the interface that puts psychology and society in contact. The development of political psychology in Spain provides an example of this alternative view of the field.     

The Conception of Synthetic Entities from a Personalist Perspective

Science and Engineering Ethics - Synthetic biology opens up the possibility of producing new entities not found in nature, whose classification as organisms or machines has been debated. In this...     

Characteristics of a French African Caribbean Epidemiological Psychiatric Sample with a History of Suicide Attempt

Research on vulnerability factors among ethnic groups, independent of primary psychiatric diagnosis, may help to identify groups at risk of suicidal behavior. French African Caribbean general psychiatric patients (N = 362) were recruited consecutively and independently of the primary psychiatric diagnosis. Demographic and clinical characteristics and lifetime history of suicide attempts were recorded. Sixty‐five patients (18%) had a history of at least one suicide attempt. Presence of professional qualifications, children, poor social contacts, treatment with benzodiazepine at inclusion, and poor treatment compliance were all associated with a lifetime history of suicide attempts.     

Combining genetic algorithms and the finite element method to improve steel industrial processes

Most of the times the optimal control of steel industrial processes is a very complicated task because of the elevated number of parameters to adjust. For that reason, in steel plants, engineers must estimate the best values of the operational parameters of processes, and sometimes, it is also necessary to obtain the appropriate model for steel material behaviour. This article deals with three successful experiences gained from genetic algorithms and the finite element method in order to solve engineering optimisation problems. On one hand, a fully automated method for determining the best material behaviour laws is described, and on the other hand we present a common methodology to find the most appropriate settings for two cases of improvement in steel industrial processes. The study of the three reported cases allowed us to show the reliability and effectiveness of combining both techniques.