Community, commitment, and the ten 'commandments' : singing in the coro furlan

Successful ageing involves maintaining well-being and actively engaging with life through the making and sustaining of relationships within community. Membership of community music groups by older people can enhance quality of life, give a sense of fulfillment, offer the possibility for personal growth and create a platform through which they share and celebrate cultural identity and diversity. This study explores community and cultural engagement by members of the Coro Furlan, an Italian male community choir in Melbourne, Australia. This case study is part of a current wider research project, Well-being and ageing: community, diversity and the arts in Victoria (Australia), begun in 2008, which explores how the arts foster well-being in ageing communities. In this case study, members of the Coro Furlan volunteered to participate in a focus group interview in 2009. The transcript was analysed using Interpretive Phenomenological Analysis which seeks to explore the lived world of participants. Analysis of the data identified three broad themes: a sense of community, the maintenance of cultural identity and sustaining a sense of well-being through shared music making. The findings demonstrate the strength of the bonds formed by choir membership with high levels of commitment reflected in their ten ‘Commandments’ that were first documented in Italian in the 1970s. The choir members consider themselves to be the custodians of Friulian choral music in Australia, as well as performers of music from Italy and other countries. Singing in this choir has offered the predominantly older members an opportunity to value, learn, and share music in formal and informal settings. This paper identifies how music engagement can facilitate successful ageing through commitment to community, singing and following the ten ‘Commandments’ of the Coro Furlan.

Police and Vietnamese-Australian communities in multi-ethnic Melbourne

This paper explores practical solutions to sensitive community policing issues, drawing on an Australian case study of relations between police and Australian-Vietnamese communities. The paper summarizes initial research on the attitudes of Australian-Vietnamese community members and police to one another and to security and crime. Despite three decades of community policing, there is only limited communication flow between Vietnamese-Australian citizens including offenders and victims and police. The question is whether partnership policing can fill the gap. For police, this involves understanding not only ethnic distinctiveness but also intergenerational issues, tensions within cultural groups, and changing complex forms of membership and affiliation.

Defining educational research : a perspective of/on presidential addresses and the Australian Association for Research in Education

This paper is concerned with the definition of the field of educational research and the changing and developing role of the Australian Association for Research in Education (AARE) in representing and constituting this field. The evidence for the argument is derived from AARE Presidential Addresses across its 40-year history. The paper documents the enhanced complexity and diversity of the field over these 40 years, including the emergence of a global educational policy field, theoretical and methodological developments in the social sciences and new research accountabilities such as the Excellence in Research for Australia (ERA) measure. Specifically, the paper suggests that the evidence-based movement in public management and education policy, and the introduction of the ERA, potentially limit and redefine the field of educational research, reducing the usefulness and relevance of educational research to policy makers and practitioners. This arises from a failure to recognise that Education is both a field of research and a field of policy and practice. Located against both developments, the paper argues for a principled eclecticism framed by a reassessment of quality, which can be applied to the huge variety of methodologies, theories, epistemologies and topics legitimately utilised and addressed within the field of educational research. At the same time, the paper argues the need to globalise the educational research imagination and deparochialise educational research. This call is located within a broader argument suggesting the need for a new social imaginary (in a post-neoliberal context of the global financial crisis) to frame educational policy and practice and the contribution that educational theory and research might make to its constitution. In relation to this, the paper considers the difficulties that political representations of such a new imaginary might entail for the President and the Association, given the variety of its membership and huge diversity of its research interests.

Knowledge sharing through virtual layers in regional sustainable development networks

Our research examines how the organisational structure facilitates knowledge sharing within the group. This case study examines a Victorian regional sustainable group using interviews and social network analysis to identify the group’s organisational structure and its effect on knowledge sharing between the members. Our findings indicate that while the mixed membership, lack of hierarchy and layered structure are complex, these elements work together to provide members with a rich body of knowledge. The diversity and differences in membership are complimentary and combined can provide a more in-depth understanding of the regional sustainable development issues.

Cosmopolitanism : religion and kinship among young people in south-western Sydney

Debates about globalization have been accompanied by considerable critical assessment of the notion of cosmopolitanism. The upsurge in travel, trade, communication, and resettlement among non-elite individuals and groups has raised questions about the nature and form of ‘bottom-up’ or ‘vernacular’ cosmopolitanism. This article explores the ways in which the experiences of a group of young people (12–15 years of age) in south-western Sydney contribute to shared practices of membership in a culturally differentiated society. On one level, these young people display a de facto vernacular cosmopolitanism through familial experiences of migration. However, the article shows how these young people often move within socially and culturally bounded communities defined by ethnicity, language, socio-economic status, shaped by desires for safety, support and belonging, and maintained by propinquity, religion and the persistence of traditional expectations and patterns around gender and inter-marriage.

How important is team structure to team performance?

This paper discusses the effects of team structure on the performance of design teams. Three types of team structures are differentiated on the basis of the functional and social groups that result from task dependencies and interaction opportunities. The reported findings are based upon results from simulation-based studies using a computational model. Differences across the team structures are investigated through a series of simulations in which the team membership and the workload busyness of the team members are independent variables, and the team performance and formation of team mental models are the dependent variables. Team performance is measured in terms of the ability of the team members to coordinate the set of tasks the team needs to perform. Findings suggest that, in general, flat teams facilitate formation of team mental models, while functional teams are best for efficient task coordination.

A characterization theorem for t-representable n-dimensional triangular norms

n-dimensional fuzzy sets are an extension of fuzzy sets that includes interval-valued fuzzy sets and interval-valued Atanassov intuitionistic fuzzy sets. The membership values of n-dimensional fuzzy sets are n-tuples of real numbers in the unit interval [0,1], called n-dimensional intervals, ordered in increasing order. The main idea in n-dimensional fuzzy sets is to consider several uncertainty levels in the memberships degrees. Triangular norms have played an important role in fuzzy sets theory, in the narrow as in the broad sense. So it is reasonable to extend this fundamental notion for n-dimensional intervals. In interval-valued fuzzy theory, interval-valued t-norms are related with t-norms via the notion of t-representability. A characterization of t-representable interval-valued t-norms is given in term of inclusion monotonicity. In this paper we generalize the notion of t-representability for n-dimensional t-norms and provide a characterization theorem for that class of n-dimensional t-norms. © 2011 Springer-Verlag Berlin Heidelberg.

Color image magnification with interval-valued fuzzy sets

In this work we present a simple magnification algorithm for color images. It uses Interval-Valued Fuzzy Sets in such a way that every pixel has an interval membership constructed from its original intensity and its neighbourhood's one. Based on that interval membership, a block is created for each pixel, so this is a block expansion method.

Anaesthesia monitoring using fuzzy logic

Objective. Humans have a limited ability to accurately and continuously analyse large amount of data. In recent times, there has been a rapid growth in patient monitoring and medical data analysis using smart monitoring systems. Fuzzy logic-based expert systems, which can mimic human thought processes in complex circumstances, have indicated potential to improve clinicians' performance and accurately execute repetitive tasks to which humans are ill-suited. The main goal of this study is to develop a clinically useful diagnostic alarm system based on fuzzy logic for detecting critical events during anaesthesia administration. Method. The proposed diagnostic alarm system called fuzzy logic monitoring system (FLMS) is presented. New diagnostic rules and membership functions (MFs) are developed. In addition, fuzzy inference system (FIS), adaptive neuro fuzzy inference system (ANFIS), and clustering techniques are explored for developing the FLMS' diagnostic modules. The performance of FLMS which is based on fuzzy logic expert diagnostic systems is validated through a series of offline tests. The training and testing data set are selected randomly from 30 sets of patients' data. Results. The accuracy of diagnoses generated by the FLMS was validated by comparing the diagnostic information with the one provided by an anaesthetist for each patient. Kappa-analysis was used for measuring the level of agreement between the anaesthetist's and FLMS's diagnoses. When detecting hypovolaemia, a substantial level of agreement was observed between FLMS and the human expert (the anaesthetist) during surgical procedures. Conclusion. The diagnostic alarm system FLMS demonstrated that evidence-based expert diagnostic systems can diagnose hypovolaemia, with a substantial degree of accuracy, in anaesthetized patients and could be useful in delivering decision support to anaesthetists.

Flickr hypergroups

The amount of multimedia content available online constantly increases, and this leads to problems for users who search for content or similar communities. Users in Flickr often self-organize in user communities through Flickr Groups. These groups are particularly interesting as they are a natural instantiation of the content + relations social media paradigm. We propose a novel approach to group searching through hypergroup discovery. Starting from roughly 11,000 Flickr groups' content and membership information, we create three different bag-of-word representations for groups, on which we learn probabilistic topic models. Finally, we cast the hypergroup discovery as a clustering problem that is solved via probabilistic affinity propagation. We show that hypergroups so found are generally consistent and can be described through topic-based and similarity-based measures. Our proposed solution could be relatively easily implemented as an application to enrich Flickr's traditional group search.

On extending generalized Bonferroni means to Atanassov orthopairs in decision making contexts

Extensions of aggregation functions to Atanassov orthopairs (often referred to as intuitionistic fuzzy sets or AIFS) usually involve replacing the standard arithmetic operations with those defined for the membership and non-membership orthopairs. One problem with such constructions is that the usual choice of operations has led to formulas which do not generalize the aggregation of ordinary fuzzy sets (where the membership and non-membership values add to 1). Previous extensions of the weighted arithmetic mean and ordered weighted averaging operator also have the absorbent element 〈1,0〉, which becomes particularly problematic in the case of the Bonferroni mean, whose generalizations are useful for modeling mandatory requirements. As well as considering the consistency and interpretability of the operations used for their construction, we hold that it is also important for aggregation functions over higher order fuzzy sets to exhibit analogous behavior to their standard definitions. After highlighting the main drawbacks of existing Bonferroni means defined for Atanassov orthopairs and interval data, we present two alternative methods for extending the generalized Bonferroni mean. Both lead to functions with properties more consistent with the original Bonferroni mean, and which coincide in the case of ordinary fuzzy values.

An outdoor and environmental education community of practice : self stylisation or normalisation?

In this article, I draw on a qualitative longitudinal study to explore the influence of a tertiary Outdoor and Environmental Education (OEE) course on the formation of environmental ethics among students. In this task, I bring together Lave & Wenger (1991) and Wenger’s (1998) concept of communities of practice and Michel Foucault’s later work on ethics to underscore some of the difficulties of an OEE community of practice as a space for (environmentally) ethical self-stylisation. Bringing these theoretical ideas together is significant because my analysis suggests that the OEE community of practice (re)produces an environmental ethic based on normalised codes of conduct rather than a self-fashioning of an ethical existence as conceived by Foucault. I demonstrate that membership in overlapping communities of practice is influential in participants’ performance of environmental identities and normalising codes of conduct are particularly significant in the physical education/pre-service education communities of practice of which participants are members.

Glaucoma and on-road driving performance

PURPOSE. To investigate the on-road driving performance of patients with glaucoma.

METHODS. The sample comprised 20 patients with glaucoma and 20 subjects with normal vision, all licensed drivers, matched for age and sex. Driving performance was tested over a 10-km route incorporating 55 standardized maneuvers and skills through residential and business districts of Halifax, Nova Scotia, Canada. Testing was conducted by a professional driving instructor and assessed by an occupational therapist certified in driver rehabilitation, masked to participant group membership and level of vision. Main outcome measures were total number of satisfactory maneuvers and skills, overall rating, and incidence of at-fault critical interventions (application of the dual brake and/or steering override by the driving instructor to prevent a potentially unsafe maneuver). Measures of visual function included visual acuity, contrast sensitivity, and visual fields (Humphrey Field Analyzer; Carl Zeiss Meditec, Inc., Dublin, CA; mean deviation [MD] and binocular Esterman points).

RESULTS. There was no significant difference between patients with glaucoma (mean MD = −1.7 dB [SD 2.2] and −6.5 dB [SD 4.9], better and worse eyes, respectively) and control subjects in total satisfactory maneuvers and skills (P = 0.65), or overall rating (P = 0.60). However, 12 (60%) patients with glaucoma had one or more at-fault critical interventions, compared with 4 (20%) control subjects (odds ratio = 6.00, 95% CI, 1.46–24.69; higher still after adjustment for age, sex, medications and driving exposure), the predominant reason being failure to see and yield to a pedestrian. In the glaucoma group, worse-eye MD was associated with the overall rating of driving (r = 0.66, P = 0.002).

CONCLUSIONS. This sample of patients with glaucoma with slight to moderate visual field impairment performed many real-world driving maneuvers safely. However, they were six times as likely as subjects with normal vision to have a driving instructor intervene for reasons suggesting difficulty with detection of peripheral obstacles and hazards and reaction to unexpected events.

Fuzzy rule base assessment models : theoretical analyses and a case study

An assessment model is usually a mathematical model that produces a measuring index, in the form of a numerical score to a situation/object, with respect to the subject of measure. To allow a valid and useful comparison among various situations/objects according to their associated numerical scores to be made, two important properties, i.e., the monotone output property and output resolution properties, are essential in fuzzy inference-based assessment problems. In this paper, the conditions for a fuzzy assessment model to fulfill the monotone output property is investigated using a derivative approach. A guideline on how the input membership functions should be tuned is also provided. Besides, the output resolution property is defined as the derivative of the output of the assessment model with respect to the input, whereby the derivative should be greater than a minimum resolution. Based on the derivative, improvements to the output resolution property by refining the fuzzy production rules are suggested. A case study on the Bowles fuzzy RPN model to demonstrate the effectiveness of the properties is also included.

Robust modular artmap for multi-class shape recognition

This paper presents a fuzzy ARTMAP (FAM) based modular architecture for multi-class pattern recognition known as modular adaptive resonance theory map (MARTMAP). The prediction of class membership is made collectively by combining outputs from multiple novelty detectors. Distance-based familiarity discrimination is introduced to improve the robustness of MARTMAP in the presence of noise. The effectiveness of the proposed architecture is analyzed and compared with ARTMAP-FD network, FAM network, and One-Against-One Support Vector Machine (OAO-SVM). Experimental results show that MARTMAP is able to retain effective familiarity discrimination in noisy environment, and yet less sensitive to class imbalance problem as compared to its counterparts.