Undertaking practice-led research through a Queensland-wide women’s history project

This paper focuses on a practice-led research project where the author as artist/researcher participates in a Queensland-wide women’s history project to celebrate Queensland’s Suffrage Centenary in 2005. The author participated in the Women’s Historical Shoebox Collection, where Queensland women were invited to decorate and fill a shoebox with personal and symbolic items that speak about their lives and the lives of their women forebears. This paper explores the practice-led research process that enabled the artist/researcher to design and assemble her contribution. Fredericks describes the iterative process of developing the shoebox and the themes that developed through her artistic practice. She also describes the content of her shoebox and explains the symbolism underpinning the items. The Women’s Historical Shoebox Collection is now owned by the State Library of Queensland and the Jessie Street National Women’s Library.

Review: "Planning Asian cities : risks and resilience" edited by Stephen Hamnett and Dean Forbes, Planning, History and Environment Series, London, Routledge, 2011

Since the beginning of the agricultural revolution, cities have always been the cradle of civilisation, innovation and productivity, particularly as a result of the recent change factors affecting their (trans)formation, such as globalisation, the knowledge economy, technological advancements, climate change and so on. While in some parts of the world, cities are rapidly growing, in other parts, cities are shrinking, and their populations are aging. Even under the current pressure of constantly changing global conditions, the role of cities in influencing and partially shaping local, regional, national, supranational and even global level economy, society, environment and governance is undeniable. Global changes, while providing opportunities for cities and their administrations to reform and revisit existing planning and development processes and mechanisms, at the same time, challenge them by dealing with everincreasing risks and establishing resilience. At present, more than half of the world’s population...

Understanding negation and family history to improve clinical information retrieval

We present a study to understand the effect that negated terms (e.g., "no fever") and family history (e.g., "family history of diabetes") have on searching clinical records. Our analysis is aimed at devising the most effective means of handling negation and family history. In doing so, we explicitly represent a clinical record according to its different content types: negated, family history and normal content; the retrieval model weights each of these separately. Empirical evaluation shows that overall the presence of negation harms retrieval effectiveness while family history has little effect. We show negation is best handled by weighting negated content (rather than the common practise of removing or replacing it). However, we also show that many queries benefit from the inclusion of negated content and that negation is optimally handled on a per-query basis. Additional evaluation shows that adaptive handing of negated and family history content can have significant benefits.

Design methodologies and architectures of hardware-based evolutionary algorithms for aerospace optimisation applications on FPGAS

This thesis is a study of new design methods for allowing evolutionary algorithms to be more effectively utilised in aerospace optimisation applications where computation needs are high and computation platform space may be restrictive. It examines the applicability of special hardware computational platforms known as field programmable gate arrays and shows that with the right implementation methods they can offer significant benefits. This research is a step forward towards the advancement of efficient and highly automated aircraft systems for meeting compact physical constraints in aerospace platforms and providing effective performance speedups over traditional methods.

Part 2. MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology. (Part 2.) Numerical aspects and implementation of model test cases

These lecture notes describe the use and implementation of a framework in which mathematical as well as engineering optimisation problems can be analysed. The foundations of the framework and algorithms described -Hierarchical Asynchronous Parallel Evolutionary Algorithms (HAPEAs) - lie upon traditional evolution strategies and incorporate the concepts of a multi-objective optimisation, hierarchical topology, asynchronous evaluation of candidate solutions , parallel computing and game strategies. In a step by step approach, the numerical implementation of EAs and HAPEAs for solving multi criteria optimisation problems is conducted providing the reader with the knowledge to reproduce these hand on training in his – her- academic or industrial environment.

Part 3. MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology. (Part 3.) Practical application to the design and optimisation of UAV systems

These lecture notes highlight some of the recent applications of multi-objective and multidisciplinary design optimisation in aeronautical design using the framework and methodology described in References 8, 23, 24 and in Part 1 and 2 of the notes. A summary of the methodology is described and the treatment of uncertainties in flight conditions parameters by the HAPEAs software and game strategies is introduced. Several test cases dealing with detailed design and computed with the software are presented and results discussed in section 4 of these notes.

Genetic and phenotypic evidence supports evolutionary divergence of the American flamingo (Phoenicopterus ruber) population in the Galapagos islands

The Galapagos archipelago is characterized by a high degree of endemism across many taxa, linked to the archpelago's oceanic origin and distance from other colonizing land masses. A population of ~ 500 American Flamingos (Phoenicopterus ruber) resides in Galapagos, which is thought to share an historical origin with the American Flamingo currently found in the Caribbean region. Genetic and phenotypic parameters in American Flamingos from Galapagos and from the Caribbean were investigated. Microsatellite and microchondrial DNA markers data showed that the American Flamingo population in Galapagos differs genetically from that in the Caribbean. American Flamingos in Galapagos form a clade which differs by a single common nucleotide substitution from American Flamingos in the Caribbean. The genetic differentiation is also evident from nuclear DNA in that microsatellite data reveal a number of private alleles for the American Flamingo in Galapagos. Analysis of skeletal measurements showed that American Flamingos in Galapagos are smaller than those in the Caribbean primarily due to shorter tarsus length, and differences in body shape sexual dimorphism. American Flamingo eggs from Galapagos have smaller linear dimensions and volumes than those from the Caribbean. The findings are consistent with reproductive isolation of American Flamingo population in Galapagos.

Origins of Australian Football: Victoria's Early History. Volume 2 : A golden era begins : Football in 'Marvellous Melbourne', 1877 to 1885

This is the second volume of a five volume series that describes, assesses, and analyses football in Victoria during the nineteenth century. This volume looks at the cultural contexts of the sport in the late 1870s and early 1880s, describes the important matches played, and provides a full statistical account of this time period. This book is the first comprehensive discussion of the early period in Australian football's development.

Using a visually-based assignment to reinforce and assess design history knowledge and understanding

This paper presents a visual timeline-based assignment used in an undergraduate Industrial Design History, Theory and Critcism unit. The assignment was developed in order to find a better way of supporting design history learning than an exam or essay assessment. It was developed using constructive alignment and it allows design students to use their strong visual thinking skills to understand unfamiliar content, develop their visual literacy of design history, and think deeply about the links between the designs, styles, movements, events and people in their timeline. The task produced a variety of responses, from websites and electronic presentations to large paper timelines, scrolls and 3D models. These have been admired by peers and used for end of year shows and permanent displays. Questionnaires were issued to students to gain feedback about the assessment. Students stated that the visual nature of the assignment helped them to understand how different aspects of design history related to each other, assisted with retaining the information, and that it was more interesting and fun than a report or an exam. This paper explores the theories behind and the benefits of using such methods of assessment for design history courses.

Investigating early childhood education for sustainability : insights from history and literature

Seemingly straightforward tasks often have a way of becoming complex. This was the case for our guest editorial team charged with creating Early Childhood Australia’s Best of Sustainability publication drawn from the the Australasian Journal of Early Childhood and Every Child. The complexities we encountered ranged from the varied terminologies and understandings of constructs such as education for sustainable development, environmental education and education for sustainability, through to the fundamental lack of published research on which to draw as the basis for a special issue. It is timely to explore these complexities as we face the global challenges of The Critical Decade (DCCEE, 2011) including rising sea levels, extreme weather events and food security. At a local level, the early childhood field in Australia is seeking to interpret sustainability with systemic support from the National Quality Standards(NQS) (ACECQA, 2011), while elsewhere environmental/sustainability education is encouraged through national curricula documents (for example, Singapore Ministry of Education, 2008; Swedish National Agency for Education,2010; Ministry of Education of Korea, 2011). Both The Critical Decade and the NQS provide imperatives to drive early childhood education’s engagement with sustainability. In other words, sustainability in early childhood education is no longer optional, but essential (Elliott, 2010). While some twenty years of advocacy has led to this somewhat subdued celebratory position, in this publication we do recognise the historical contexts that have led to early childhood education for sustainability (ECEfS), as we (Elliott & Davis) phrase it, becoming almost ‘mainstream not marginal’ (Davis, 1999)— a stitching together of the isolated ‘patches of green’, first identified a decade ago by Elliott (NSW EPA, 2003). Here we weave together, through these articles, a story of the evolving history of ECEfS from our particular perspective. In so doing, we also acknowledge that there are other perspectives or ‘paths’ for this field as identified by Edwards and Cutter-McKenzie in their concluding paper to this compilation.

Pasture Degradation and Recovery in Australia's Rangelands : Learning from History

"The extended drought periods in each degradation episode have provided a test of the capacity of grazing systems (i.e. land, plants, animals, humans and social structure) to handle stress. Evidence that degradation was already occurring was identified prior to the extended drought sequences. The sequence of dry years, ranging from two to eight years, exposed and/or amplified the degradation processes. The unequivocal evidence was provided by: (a) the physical 'horror' of bare landscapes, erosion scalds and gullies and dust storms; (b) the biological devastation of woody weeds and animal suffering/deaths or forced sales, and; (c) the financial and emotional plight of graziers and their families due to reduced production in some cases leading to abandonment of properties or, sadly, deaths (e.g. McDonald 1991, Ker Conway 1989)."--Publisher website

Mission path planning of aerial survey tasks using hybrid game evolutionary algorithm

The work presented in this report is aimed to implement a cost-effective offline mission path planner for aerial inspection tasks of large linear infrastructures. Like most real-world optimisation problems, mission path planning involves a number of objectives which ideally should be minimised simultaneously. Understandably, the objectives of a practical optimisation problem are conflicting each other and the minimisation of one of them necessarily implies the impossibility to minimise the other ones. This leads to the need to find a set of optimal solutions for the problem; once such a set of available options is produced, the mission planning problem is reduced to a decision making problem for the mission specialists, who will choose the solution which best fit the requirements of the mission. The goal of this work is then to develop a Multi-Objective optimisation tool able to provide the mission specialists a set of optimal solutions for the inspection task amongst which the final trajectory will be chosen, given the environment data, the mission requirements and the definition of the objectives to minimise. All the possible optimal solutions of a Multi-Objective optimisation problem are said to form the Pareto-optimal front of the problem. For any of the Pareto-optimal solutions, it is impossible to improve one objective without worsening at least another one. Amongst a set of Pareto-optimal solutions, no solution is absolutely better than another and the final choice must be a trade-off of the objectives of the problem. Multi-Objective Evolutionary Algorithms (MOEAs) are recognised to be a convenient method for exploring the Pareto-optimal front of Multi-Objective optimization problems. Their efficiency is due to their parallelism architecture which allows to find several optimal solutions at each time