Extreme value and cluster analysis of European daily temperature series

Time series of daily mean temperature obtained from the European Climate Assessment data set is analyzed with respect to their extremal properties. A time-series clustering approach which combines Bayesian methodology, extreme value theory and classification techniques is adopted for the analysis of the regional variability of temperature extremes. The daily mean temperature records are clustered on the basis of their corresponding predictive distributions for 25-, 50- and 100-year return values. The results of the cluster analysis show a clear distinction between the highest altitude stations, for which the return values are lowest, and the remaining stations. Furthermore, a clear distinction is also found between the northernmost stations in Scandinavia and the stations in central and southern Europe. This spatial structure of the return period distributions for 25-, 50- and 100-years seems to be consistent with projected changes in the variability of temperature extremes over Europe pointing to a different behavior in central Europe than in northern Europe and the Mediterranean area, possibly related to the effect of soil moisture and land-atmosphere coupling.     

An empirical comparison of Canonical Correspondence Analysis and STATICO in the identification of spatio-temporal ecological relationships

The wide-ranging and rapidly evolving nature of ecological studies mean that it is not possible to cover all existing and emerging techniques for analyzing multivariate data. However, two important methods enticed many followers: the Canonical Correspondence Analysis (CCA) and the STATICO analysis. Despite the particular characteristics of each, they have similarities and differences, which when analyzed properly, can, together, provide important complementary results to those that are usually exploited by researchers. If on one hand, the use of CCA is completely generalized and implemented, solving many problems formulated by ecologists, on the other hand, this method has some weaknesses mainly caused by the imposition of the number of variables that is required to be applied (much higher in comparison with samples). Also, the STATICO method has no such restrictions, but requires that the number of variables (species or environment) is the same in each time or space. Yet, the STATICO method presents information that can be more detailed since it allows visualizing the variability within groups (either in time or space). In this study, the data needed for implementing these methods are sketched, as well as the comparison is made showing the advantages and disadvantages of each method. The treated ecological data are a sequence of pairs of ecological tables, where species abundances and environmental variables are measured at different, specified locations, over the course of time.     

Analysing public relations education through international standards: The Portuguese case

By using international reports on PR education as a benchmark we analyse the status of PR higher education in Portugal. Despite differences among the study programs, the findings reveal that the standard five courses recommendation by the Commission on Public Relations Education (CPRE) are a part of Portuguese undergraduate curriculum. This includes 12 of the 14 content field guidelines needed to achieve the ideal master's program. Data shows, however, the difficulty of positioning public relations in Portugal as an autonomous field within Communication Sciences.     

Inter- and transdisciplinary approaches to population–environment research for sustainability aims: a review and appraisal

The causes and consequences of demographic changes for the environment, and the possible ways of influencing population dynamics to achieve ‘sustainability’, have been the subject of many debates in science and policy in recent decades. However, the body of knowledge concerning relationships between population dynamics and sustainability is quite fragmented, dispersed over many disciplines, and encompasses diverse theories, paradigms and methodologies. This paper reviews four selected frameworks: linear, multiplicative, mediated, and system-theoretical approaches and perspectives. We represent how population–environment relationships are conceptualized, provide examples of research questions and accepted approaches, and critically assess their utility for different sorts of research for sustainable development. We note the growing recognition of the value of embracing complexity in population–environment research, and how this is consistent with normative aims of development.     

Cultural diversity competencies in child and youth care services in Portugal: Development of two measures and a brief training program

Few researchers have examined the training of child care workers in cultural diversity competencies, despite the growing number of ethnic minority children and youth in residential care. The present paper reports two studies. In study 1, we aimed to adapt and develop two measures of cultural diversity competencies—a self-report questionnaire and an objective measure based on a case vignette (n = 51). In study 2, we proposed a brief training program. A quasi-experimental design (n = 30) was used, with cultural competencies being evaluated before and after the training. Results revealed that (1) child care workers tended to over-estimate their self-perceived competence and that (2) the experimental group was more capable of including cultural elements in their definition of strategies and relational aspects of intervention after a brief training than the group that received no training (control). Implications of this study are discussed for further development of cultural diversity competencies in professionals working in residential child care.     

Integrated scheduling and inventory management of an oil products distribution system

The oil supply chain is facing new challenges due to emerging issues such as new alternative energy sources, oil sources scarcity, and price variability with high impact on demand and production and profit margins reduction. Additionally, the existence of large, complex and world wide spread businesses implies a complex system to be managed where distribution can be seen as one of the key areas that needs to be efficiently and effectively managed. Different types of distribution modes characterize the oil supply chain where the pipeline mode is one of the most complex to operate when having multiproduct characteristics. This paper addresses the planning of a generic oil derivatives transportation system characterized by a multiproduct pipeline that connects a single refinery to a storage tank farm. Two alternative mixed integer linear programming models (MILP) that aim to attain a set of planning objectives such as fulfilling costumers’ demands (which is mandatory) while minimizing the medium flow rate are developed. Additionally, final inventory levels are avoided to be excessively low. A real world scenario of a Portuguese company is used to validate and compare the two alternative MILP models developed in this paper.     

On the estimation of the proportion of positives in a sequence of screening experiments

A metaanalytic estimator of the proportion of positives in a sequence of screening experiments is proposed. The distribution-free estimator is based on the empirical distribution of P-values from individual experiments, which is uniform under the global null hypotheses of no positives in the sequence of experiments performed. Under certain regularity conditions, the proportion of positives corresponds to the derivative of this distribution under the alternative hypothesis of the existence of some positives. The statistical properties of the estimator are established, including its bias, variance, and rate of convergence to normality. Optimal estimators with minimum mean squared error are also developed under specific alternative hypotheses. The application of the proposed methods is illustrated using data from a sequence of screening experiments with chemicals to determine their carcinogenic potential.     

Using Visual Art Workshops with Female Survivors of Domestic Violence in Portugal and England: A Comparative Reflection

ABSTRACT

This paper provides a reflection on the use of visual art workshops in an interdisciplinary feminist project with female survivors of domestic violence living in refuges in England and Portugal. The paper discusses the fieldwork in each location with attention to the interaction between participants, between participants and the researcher/s, and the cultural and institutional structures influencing the research and the images produced. Despite some key differences in the context, the analysis highlights key resonances and commonalities amongst the objects that survivors of domestic abuse depicted in each location. We use the feminist notion of ‘giving voice’ as an analytical tool throughout the paper. The paper argues that ‘giving voice’ was not unproblematically accomplished by using visual methods and suggests that our understanding remained partial and often reliant on verbal narratives accompanying the visual images produced. We also highlight issues of power emerging when exhibiting art generated through the study.     

CO-tucker: a new method for the simultaneous analysis of a sequence of paired tables

Relationships between species and their environment are a key component to understand ecological communities. Usually, this kind of data are repeated over time or space for communities and their environment, which leads to a sequence of pairs of ecological tables, i.e. multi-way matrices. This work proposes a new method which is a combined approach of STATICO and Tucker3 techniques and deals to the problem of describing not only the stable part of the dynamics of structure–function relationships between communities and their environment (in different locations and/or at different times), but also the interactions and changes associated with the ecosystems’ dynamics. At the same time, emphasis is given to the comparison with the STATICO method on the same (real) data set, where advantages and drawbacks are explored and discussed. Thus, this study produces a general methodological framework and develops a new technique to facilitate the use of these practices by researchers. Furthermore, from this first approach with estuarine environmental data one of the major advantages of modeling ecological data sets with the CO-TUCKER model is the gain in interpretability.