<Emphasis Type="BoldItalic">MAD-STEC</Emphasis>: a method for multiple automatic detection of space-time emerging clusters

Crime or disease surveillance commonly rely in space-time clustering methods to identify emerging patterns. The goal is to detect spatial-temporal clusters as soon as possible after its occurrence and to control the rate of false alarms. With this in mind, a spatio-temporal multiple cluster detection method was developed as an extension of a previous proposal based on a spatial version of the Shiryaev–Roberts statistic. Besides the capability of multiple cluster detection, the method have less input parameter than the previous proposal making its use more intuitive to practitioners. To evaluate the new methodology a simulation study is performed in several scenarios and enlighten many advantages of the proposed method. Finally, we present a case study to a crime data-set in Belo Horizonte, Brazil.     

Site-specific focus groups: analysing learning spaces in situ

This article reflects on the focus group as a research technique used in an analysis of the relationship between learning spaces and pedagogy, developed as part of the assessment of the secondary school modernisation programme in Portugal. The research proposes a methodological innovation in the use of focus group, by developing focus groups before, during and after tours to the schools. The focus groups in this format were particularly important for the research since they facilitated a dynamic of social interaction and the expression of views and opinions among groups of pupils and teachers about the impact of the renovations on education practices. They also highlighted some of the specific aspects of the interaction between the appropriation processes and the object of the intervention, which was in itself object of contradictory interpretations. Further, this technique enables the attainment of a triangulation strategy, central to the study.     

The construction of ergonomic demands: application on artisan fishing using jangada fishing rafts in the beach of Ponta Negra

The present article seeks the process of construction of ergonomics demand referring to the artisan fishing activityfound in Ponta Negra beach located in the city of Natal, Brazil. The instruction/construction of demands correspond to the first stage of Work Ergonomic Analysis and allows the understanding of real issues existent in a work situation, rank them and route the providences. The demand presented on this study, features itself as a induced demand, process which some potential demands or hypothetical demands are taken to an organization, after a preview analysis of the work aimed by the study, resulting from a theoretical research (state of the art) and/or from analysis of a reference situation (state of practice), where demands hypothesis are taken in consideration about the pretended work. The demands construction process using interactional methods and techniques, observation methods and techniques and bibliographic research, researches in state of reference or document. This article demonstrates the efficiency of the methodological choice to construct real ergonomic demands and highlights the importance of social construction on that process, which main goal is to refer the ergonomic actions that allow the improvement of work and life conditions for the fishers and sustainability to Jangadeira activity.     

Inequality of opportunity in daycare and preschool services in Brazil

In this paper we measure inequality of opportunity in daycare and preschool services in Brazil. For this purpose, we construct an opportunity index that modifies the Human Opportunity Index proposed in the literature and used in Barros et al. (2009) to measure inequality in basic opportunities in Latin America and the Caribbean. Specifically, we construct an opportunity measure that includes not only attendance but also parental choice not to enroll children in daycare or preschool, using data from a supplementary questionnaire included in the 2006 version of Pesquisa Nacional por Amostra de Domicílios (PNAD). The results show that there are large differences between our opportunity index and the Human Opportunity Index for children aged 0–3 years old and considerably smaller differences for children aged 4–6 years old, which suggests that preschool may be closer to a basic opportunity than daycare.     

Interval-censored data with misclassification: a Bayesian approach

Survival data involving silent events are often subject to interval censoring (the event is known to occur within a time interval) and classification errors if a test with no perfect sensitivity and specificity is applied. Considering the nature of this data plays an important role in estimating the time distribution until the occurrence of the event. In this context, we incorporate validation subsets into the parametric proportional hazard model, and show that this additional data, combined with Bayesian inference, compensate the lack of knowledge about test sensitivity and specificity improving the parameter estimates. The proposed model is evaluated through simulation studies, and Bayesian analysis is conducted within a Gibbs sampling procedure. The posterior estimates obtained under validation subset models present lower bias and standard deviation compared to the scenario with no validation subset or the model that assumes perfect sensitivity and specificity. Finally, we illustrate the usefulness of the new methodology with an analysis of real data about HIV acquisition in female sex workers that have been discussed in the literature.     

Benchmarking small companies on the internet

The World Wide Web offers tremendous opportunities to high growth SMEs, but successive research studies have shown that significant business benefits are not being realised. This paper reports the results of the first comprehensive study into web adoption and usage by SMEs in Northern Ireland. It confirms broader research into SME adoption and usage of the World Wide Web and suggests that, if SMEs are to realise the full potential of the Web, they must think globally, act strategically and learn from competitors.