Family predictors of moral internalization in childhood

This study aimed to analyze the relationship between parents' affection, acceptance, emotional communication, the transmission of values and moral intervention, on the one hand, and children's moral emotions and behaviors on the other (empathy, guilt, internalized behavior and reparation). It also aimed to identify the family variables that influence moral internalization in children. The sample comprised 485 children (244 boys and 241 girls) aged between 6 and 8. The results showed that the principal variable to predict internalized behavior in girls was maternal affection, whereas for boys, the principal variables were maternal emotional communication and transmission of values. The family variables that explain moral internalization in extreme groups of children are basically parents' affection, emotional communication, the transmission of values and moral intervention.     

Alcohol drinking parties and consumption of alcohol and other drugs in youth

The main aim of this paper is to analyze the relationships of involvement in the "botellon" (meetings of youth in public places to drink, chat, etc.) with alcohol/other drug abuse and vandalism in young people. A school survey was performed in centres of Compulsory Secondary School (E.S.O.), high school, professional training and University education in Lugo, NW Spain. The sample (aged 12 to 30) was split into three groups according to alcohol use and botellon involvement; drug abuse, drug-related problems and vandalism were assessed in each group. Results indicate that regular botellon attendants display more problems with alcohol and other drugs, as well as higher involvement in vandalism; this relationship is stronger among young students. The increase in adolescent risk associated with the practice of the botellon is explained by peer group pressure to use drugs and the greater accessibility of alcohol/other drugs in these contexts.     

Classification statistical techniques: an applied and comparative study

The aim of this article is to assess and compare three classification statistical techniques--logistic regression, discriminant analysis and classification trees--to identify the personality characteristics associated with the risk of suffering from ischemic cardiovascular acute episodes (ICAE). The sample comprised 313 participants, men and women, aged from 36 to 80. Participants were divided into two groups: a clinical group of patients (n = 143) who were diagnosed as suffering from ICAE, and a control group (n = 170). Both groups were equated in gender, age, socio-economic and educational level. In view of the comparative study of the analytical procedures, we recommend classification trees as the best choice, as it was the most accurate for the individuals in the clinical group, a simple data analysis and a meaningful clinical interpretation. The predictive validity analysis of the MCMI-II allowed the construction of a reduced version made up of 9 personality scales from the 22 scales in the original version. Thus, we could identify the patients with a higher probability of suffering from ICAE, and additionally, generate an empirical model comprising seven and five personality profiles associated, respectively, with the increase and the decrease of the probability of suffering from ICAE.     

Straightness as the main factor of the hErmann grid illusion

The generally accepted explanation of the Hermann grid illusion is Baumgartner's hypothesis that the illusory effect is generated by the response of retinal ganglion cells with concentric ON-OFF or OFF-ON receptive fields. To challenge this explanation, we have introduced some simple distortions to the grid lines which make the illusion disappear totally, while all preconditions of Baumgartner's hypothesis remain unchanged. To analyse the behaviour of the new versions of the grid, we carried out psychophysical experiments, in which we measured the distortion tolerance: the level of distortion at which the illusion disappears at a given type of distortion for a given subject. Statistical analysis has shown that the distortion tolerance is independent of grid-line width within a wide range, and of the type of distortion, except when one side of each line remains straight. We conclude that the main cause of the Hermann grid illusion is the straightness of the edges of the grid lines, and we propose a theory which explains why the illusory spots occur in the original Hermann grid and why they disappear in curved grids.     

Action rules: why the visual control of reaching and grasping is not always influenced by perceptual illusions

It is generally accepted that vision first evolved for the distal control of movement and that perception or 'representational' vision emerged much later. Vision-for-action operates in real time and uses egocentric frames of reference and the real metrics of the world. Vision-for-perception can operate over longer time scales and is much more scene-based in its computations. These differences in the timing and metrics of the two systems have been examined in experiments that have looked at the way in which each system deals with visual illusions. Although controversial, the consensus is that actions such as grasping and reaching are often unaffected by high-level pictorial illusions, which by definition affect percetion. However, recent experiments have shown that, for actions to escape the effects of such illusions, they must be highly practiced actions, preferably with the right hand, and must be directed in real time at visible targets. This latter finding suggests that some of the critical components of the encapsulated (bottom-up) systems that mediate the visual control of skilled reaching and grasping movements are lateralised to the left hemisphere.     

Designing Organizations: Does Expertise Matter?

From an organizational cognition standpoint, we approach organizational design as an ongoing creative sensemaking process. This study examined the role of expertise in the cognitive problem-solving patterns underlying design processes and the resulting organizational forms. The simulated problem elicited the mental models applied by naives, novices, and experts in designing an organization. The thinking-aloud protocol analysis revealed quantitative and qualitative expert/nonexpert differences in problem-solving strategies, the time spent on problem representation, and the justifications and difficulties expressed in the course of the design process. In addition, our results showed that naives created organizations consistent with mechanistic structures, while novices and experts created organizations consistent with organic structures. We discuss the implications of these findings for the understanding of the cognitive basis of organizational design and the development of effective training programs.     

The networked mind

The paper discusses the role of networks in cognition on two levels: on the level of the organization of ideas, and on the level of interpersonal communication. Any interesting system of ideas forms a network: ideas presented in a linear order (the order forced upon us by verbal expression) will necessarily convey a distorted picture of the underlying patterns of thought. Networks of ideas typically consist of a great number of nodes with just a few links, and a small number of hubs with very many links; that is, they are, to employ Albert-László Barabási’s term, “scale-free.” Barabási fits into a specific tradition: Hungarians had an early influence on the philosophy of networks, and on the philosophy of communication as developed at Marshall McLuhan’s Toronto Circle. In fact, this was the circle in which certain Hungarian and Austrian ideas on mediated collective thinking first came together—a telling testimony to the conditions of disturbed communication and idiosyncratic networking typical of East-Central Europe, past and present. The nodes-and-hubs pattern is characteristic, too, of social networks, in particular of scholarly and scientific networks. The paper analyses the role of “invisible colleges”—informal groups of scientific elites through whom the communication of information both within a field and across fields is channelled. By way of conclusion the notion of a new type of personality, the “network individual,” is discussed: the network individual is the person reintegrated, after centuries of relative isolation induced by the printing press, into the collective thinking of society—the individual whose mind is manifestly mediated, once again, by the minds of those forming his/her smaller or larger community.     

Classification of dog barks: a machine learning approach

In this study we analyzed the possible context-specific and individual-specific features of dog barks using a new machine-learning algorithm. A pool containing more than 6,000 barks, which were recorded in six different communicative situations was used as the sound sample. The algorithm's task was to learn which acoustic features of the barks, which were recorded in different contexts and from different individuals, could be distinguished from another. The program conducted this task by analyzing barks emitted in previously identified contexts by identified dogs. After the best feature set had been obtained (with which the highest identification rate was achieved), the efficiency of the algorithm was tested in a classification task in which unknown barks were analyzed. The recognition rates we found were highly above chance level: the algorithm could categorize the barks according to their recorded situation with an efficiency of 43% and with an efficiency of 52% of the barking individuals. These findings suggest that dog barks have context-specific and individual-specific acoustic features. In our opinion, this machine learning method may provide an efficient tool for analyzing acoustic data in various behavioral studies.