The executive committee of the Greek Professional Association of Social Work in an age of austerity: examining its response

This paper explores the response by the Greek Association of Social Workers (SKLE) to Greece's current economic crisis. Socioeconomic conditions in Greece have deteriorated rapidly since the imposition of a Structural Adjustment Programme as a condition of the loan Troika provided to Greece to address its class-based public debt crisis. Interviews were conducted with SKLE Executive Committee members to examine SKLE's response in the context of newly raised inequalities. Research results show that SKLE recognised the negative consequences to both service users and its members. However, SKLE continues to reformulate its strategy mostly as a social partner. SKLE's previous strategy entailed amongst other things the analysis of policy proposals and participation in welfare related government committees. This strategy is no longer relevant because decision-making powers have been transferred to transnational bodies. This paper elaborates on these findings and discusses the barriers that prohibit SKLE from differentiation of its strategy. Although the research is country specific, it has implications for the broader global debate because professional associations must reformulate their strategies for better serving of both their constituents and the collective good based on the social justice mandate of the profession.

'If we do not cut social spending, we will end up like Greece': Challenging consent to austerity through social work action

'If we do not cut social spending, we will end up like Greece'. Establishment politicians and media figures use this new ideological mantra throughout the Western world to frighten people into consenting to further neo-liberal restructuring along with cuts in social spending. This phrase and other ideologically laden assertions hide the real causes of the Greek public debt crisis. This commentary challenges the dominant discourse by contextualizing the Greek case within the larger global neo-liberal restructuring processes and then, drawing upon Gramsci's concept of the organic intellectual, proposes ways that the members of the Professional Association of Social Workers (PASW) can engage in a war of ideas and action, as organic intellectuals, to delegitimize the dominant discourse, which seeks consent for social spending cuts and further neo-liberal restructuring of society. © The Author(s) 2013.

Factors influencing European consumer uptake of personalised nutrition. Results of a qualitative analysis.

The aim of this research was to explore consumer perceptions of personalised nutrition and to compare these across three different levels of "medicalization": lifestyle assessment (no blood sampling); phenotypic assessment (blood sampling); genomic assessment (blood and buccal sampling). The protocol was developed from two pilot focus groups conducted in the UK. Two focus groups (one comprising only "older" individuals between 30 and 60 years old, the other of adults 18-65 yrs of age) were run in the UK, Spain, the Netherlands, Poland, Portugal, Ireland, Greece and Germany (N = 16). The analysis (guided using grounded theory) suggested that personalised nutrition was perceived in terms of benefit to health and fitness and that convenience was an important driver of uptake. Negative attitudes were associated with internet delivery but not with personalised nutrition per se. Barriers to uptake were linked to broader technological issues associated with data protection, trust in regulator and service providers. Services that required a fee were expected to be of better quality and more secure. An efficacious, transparent and trustworthy regulatory framework for personalised nutrition is required to alleviate consumer concern. In addition, developing trust in service providers is important if such services to be successful. (C) 2013 Elsevier Ltd. All rights reserved.

Green prospects in Greece

The radical left-wing Syriza and the Green party Ecologists Greens/Oikologoi Prasinoi (EG) have been seen as representatives of the left-libertarian/new politics party families in Greece. These type of parties are marked by a commitment to new politics issues such as gender and racial equality, peace and ecology. In countries where two party formations of this kind are in competition to attract a very similar clientele and one of them is electorally significant, it is unlikely for the other to achieve autonomous electoral success. This is a well-known fact that has penetrated discussions on the strategic orientation of both parties since their first electoral participation in 2004 (only European parliament elections for EG).

Locally Unwanted Sea Use: The Case of Syrian Chemical weapons disposal in the Mediterranean

This paper discusses the opposition to the disposal of Syrian chemical weapons in the Mediterranean Sea. Following insights from Green criminology and recent calls in that discipline for the inclusion of new social movements and resistance, it discusses in detail how the issue was framed in terms of environmental and ecological justice by different protest actors. This process is aided by an analytical model that brings together the sociology of protest and social movements, insights from reflexive modernisation and the study of southern European civil societies. Methodologically, the focus is on mobilisations that took place in Greece in general and the island of Crete in particular. Data have been harvested through the examination of online sources, such as newspapers, blogs and dedicated social networks. The analysis of the findings suggests that these mobilisations were initially stimulated by real concern, but subsequently these were only carried through by certain movement entrepreneurs who didn’t hesitate to pepper these concerns with false claims and/or linkages to an already active anti-imperialist discourse.

A Soft Sensor for Viscosity Control of Polymer Extrusion

Viscosity represents a key indicator of product quality in polymer extrusion but has traditionally been difficult to measure in-process in real-time. An innovative, yet simple, solution to this problem is proposed by a Prediction-Feedback observer mechanism. A `Prediction' model based on the operating conditions generates an open-loop estimate of the melt viscosity; this estimate is used as an input to a second, `Feedback' model to predict the pressure of the system. The pressure value is compared to the actual measured melt pressure and the error used to correct the viscosity estimate. The Prediction model captures the relationship between the operating conditions and the resulting melt viscosity and as such describes the specific material behavior. The Feedback model on the other hand describes the fundamental physical relationship between viscosity and extruder pressure and is a function of the machine geometry. The resulting system yields viscosity estimates within 1% error, shows excellent disturbance rejection properties and can be directly applied to model-based control. This is of major significance to achieving higher quality and reducing waste and set-up times in the polymer extrusion industry.

Efficiency assessment of electricity power generation on Ireland’s Single Electricity Market by Data Envelopment Analysis

The efficiency of generation plants is an important measure for evaluating the operating performance. The objective of this paper is to evaluate electricity power generation by conducting an All-Island-Generator-Efficiency-Study (AIGES) for the Republic of Ireland and Northern Ireland by utilising a Data Envelopment Analysis (DEA) approach. An operational performance efficiency index is defined and pursued for the year 2008. The economic activities of electricity generation units/plants examined in this paper are characterized by numerous input and output indicators. Constant returns to scale (CRS) and variable returns to scale (VRS) type DEA models are employed in the analysis. Also a slacks based analysis indicates the level of inefficiency for each variable examined. The findings from this study provide a general ranking and evaluation but also facilitate various interesting efficiency comparisons between generators by fuel type.

Non-parametric bill of quantities estimation of concrete road bridges' superstructure: an artificial neural networks approach

Bridge construction responds to the need for environmentally friendly design of motorways and facilitates the passage through sensitive natural areas and the bypassing of urban areas. However, according to numerous research studies, bridge construction presents substantial budget overruns. Therefore, it is necessary early in the planning process for the decision makers to have reliable estimates of the final cost based on previously constructed projects. At the same time, the current European financial crisis reduces the available capital for investments and financial institutions are even less willing to finance transportation infrastructure. Consequently, it is even more necessary today to estimate the budget of high-cost construction projects -such as road bridges- with reasonable accuracy, in order for the state funds to be invested with lower risk and the projects to be designed with the highest possible efficiency. In this paper, a Bill-of-Quantities (BoQ) estimation tool for road bridges is developed in order to support the decisions made at the preliminary planning and design stages of highways. Specifically, a Feed-Forward Artificial Neural Network (ANN) with a hidden layer of 10 neurons is trained to predict the superstructure material quantities (concrete, pre-stressed steel and reinforcing steel) using the width of the deck, the adjusted length of span or cantilever and the type of the bridge as input variables. The training dataset includes actual data from 68 recently constructed concrete motorway bridges in Greece. According to the relevant metrics, the developed model captures very well the complex interrelations in the dataset and demonstrates strong generalisation capability. Furthermore, it outperforms the linear regression models developed for the same dataset. Therefore, the proposed cost estimation model stands as a useful and reliable tool for the construction industry as it enables planners to reach informed decisions for technical and economic planning of concrete bridge projects from their early implementation stages.