Clinical and behavioral evaluation of pathological gambling in Barcelona,Spain

This paper assesses both the clinical characteristics and gambling behavior of 45 pathological gamblers (40 male, 5 female, average age 41) in a psychiatric hospital in Barcelona, Spain. These pathological gamblers tend to have other addictions and psychiatric disorders in addition to their pathological gambling. Suicidal ideation and attempts were one of the most frequent complications with these patients. Slot and fruit machines were found to be the most preferred form of gambling. Loans and crime were frequently used by the gambler to finance his or her gambling. Nevertheless, the gambler is rarely aggessive, and legal problems resulting from serious crimes are the exception. The profile presentes is similar to that found among pathological gamblers in other countries.     

A decision support system for modelling and implementing the supply network configuration and operations scheduling problem in the machine tool industry

This paper presents a decision support system to simultaneously solve the supply network configuration problem and the operations scheduling problem for the machine tool industry. A novel database structure, which is able to consider alternative operations and alternative bills of material, has been used. An algorithm for complete enumeration to determine all the feasible solutions using stroke graphs is introduced. A multiagent-based simulator evaluates the different key performance indicators that the supply network deals with for each alternative solution (e.g. workload, profits, delivery times, etc.) to determine that ‘satisficed’ by the collaborative decision-making among its members. A case study based on a Spanish company that assembles highly customised machines and tools in several European plants is considered. From the experiments results based on data linked to this industry, it will be demonstrated that the tool is potentially useful for stakeholders and for the central decision-maker to make decisions collaboratively in a multisite context case.     

Normative collective behavior in the Station building fire

Objective. This article offers a test of the normative explanation of collective behavior by examining the fire at the Station nightclub in Rhode Island that killed 100 and injured nearly 200 persons.Methods. Information on all persons at the club comes from content analysis of documents from the Rhode Island Police Department, the Rhode Island Office of the Attorney General, and The Providence Journal. We use negative binomial regression to test hypotheses about the effects of group-level predictors of the counts of dead and injured in 179 groups at the nightclub.Results. Results indicate that group-level factors such as distance of group members at the start of the fire, the number of intimate relations among them, the extent to which they had visited the nightclub prior to the incident, and the average length of the evacuation route they used predict counts of injured and dead. The research also looks at what behavioral differences exist between survivors and victims, ascertains the existence of role extension among employees of the nightclub, and provides support for the affirmation that dangerous contexts negate the protective influence of intimate relations in groups.Conclusion. We argue for the abandonment of current emphasis on irrationality and herd-like imitative behavior in studies of evacuation from structural fires in buildings and for the inclusion of group-level processes in social psychological explanations of these incidents.     

A review of representation issues and modeling challenges with influence diagrams

Since their introduction in the mid 1970s, influence diagrams have become a de facto standard for representing Bayesian decision problems. The need to represent complex problems has led to extensions of the influence diagram methodology designed to increase the ability to represent complex problems. In this paper, we review the representation issues and modeling challenges associated with influence diagrams. In particular, we look at the representation of asymmetric decision problems including conditional distribution trees, sequential decision diagrams, and sequential valuation networks. We also examine the issue of representing the sequence of decision and chance variables, and how it is done in unconstrained influence diagrams, sequential valuation networks, and sequential influence diagrams. We also discuss the use of continuous chance and decision variables, including continuous conditionally deterministic variables. Finally, we discuss some of the modeling challenges faced in representing decision problems in practice and some software that is currently available.     

How first-generation students learn to navigate education systems: a case study of First Graduate

Students from underrepresented groups who seek to become the first in their family to attend college confront economically and racially stratified education systems. This article reports findings from an evaluation of First Graduate, an organization that offers college advising, mentoring, tutoring, and case management to first-generation students starting in seventh grade. We highlight three systems that youth say they encountered on their pathway to college: open enrollment, course taking, and college admissions. We describe how youth navigated these systems and the roles that adults played in support. Our conclusion discusses implications for how after-school programs can support first-generation students.     

Differences in Life Expectancy Between Self-Employed Workers and Paid Employees when Retirement Pensioners: Evidence from Spanish Social Security Records

European Journal of Population - The aim of this paper is to examine differences in life expectancy (LE) between self-employed (SE) and paid employee (PE) workers when they become retirement...     

UNCERTAINTY,PERSISTENCE, AND HETEROGENEITY: A PANEL DATA PERSPECTIVE

The purpose of this paper is to review newly developed identification and estimation tools that are relevant for the analysis of dynamic dependence structures of income risk. I present an application to nonlinear permanent–transitory models of household income using data from the Panel Study of Income Dynamics (PSID), but the empirical approach is more generally applicable. Household income processes are of interest because the size of shocks, the nature of their persistence, and cross‐household heterogeneity are all important to understand how income inequality varies with age and cohort and how it translates into consumption inequality. I argue that going from an econometrics of autocovariances to an econometrics of flexible distributions is feasible and has the potential to reveal richer aspects of risk—for example, nonlinear persistence of unusual shocks.     

Realizing the Need for Rework: From Task Interdependence to Social Networks

Design rework is a core phenomenon in new product development (NPD). Yet carrying out design rework presupposes recognizing the need for it. I characterize the types of interpersonal knowledge transfer that help developers realize the need for design rework in NPD. As predicted by the NPD literature, I find that individuals who interact frequently with colleagues to address their task interdependences are more likely to realize the need for rework. I also learn that interacting with colleagues who have different expertise in process‐related knowledge (as opposed to product‐related knowledge) facilitates realizing the need for rework. However, to develop a deeper understanding of how individuals recognize the need for rework when interacting with others, we must expand our views beyond task interdependence and expertise‐related factors. In particular, organizational variables—both formal and informal—play a significant role. With respect to formal hierarchical structures, actors of superior rank are less likely to realize the need for rework regardless of whether or not their interacting partner is of superior rank; however, actors of superior rank are more likely to trigger realizing the need for rework when interacting with partners of subordinate rank. By examining an organization's informal structure, I discover that the social “embeddedness” of developers (i.e., the energy and attention invested in a dyadic relationship) significantly influences their propensity to realize the need for rework. Several hypotheses are tested in a sociometric study conducted within the development department of a software company, and I discuss the implications for behavioral operations in NPD.     

Bitter strawberries: the construction of differences in a multicultural school: a case study

This paper presents the results of a case study looking at the views of teachers and other educational professionals pertaining to the academic progress and general integration of immigrant schoolchildren in multicultural schools in the province of Huelva (Andalusia, Spain). It is organised into three sections: first, the geographical and social context of the study is described, focusing in particular on the impact on schools of migratory trends within the province associated with strawberry cultivation. This is followed by a presentation of the results of a field study into the educational panorama of immigrant pupils from various countries, drawing on verbal reports by teachers and school administrators. Finally, some conclusions are suggested for possible categories of analysis with a view to opening new lines of research in the future.     

Influence Assessment in an Heteroscedastic Errors-in-Variables Model

The main goal of this article is to consider influence assessment in models with error-prone observations and variances of the measurement errors changing across observations. The techniques enable to identify potential influential elements and also to quantify the effects of perturbations in these elements on some results of interest. The approach is illustrated with data from the WHO MONICA Project on cardiovascular disease.