In the right space : exploring the dynamics between design, environment and pedagogy

The environments that we inhabit shape our everyday lives, influencing our behaviors and responses (Manu, 2013). As we enter an immersive phase of education in which physical and digital environments become inseparable, should we reconsider the role and importance of design on pedagogical practice? This paper explores the reciprocal cause and effect of space, technology and pedagogy in shaping the design of educational experiences within Queensland University of Technology's collaborative learning spaces.

Working the iceberg : a staffroom morality play

This play comes from a research project about how teachers understand and sustain their work in challenging secondary school classrooms. The research asked “How DO teachers work in these classrooms?” not “How SHOULD they?” In the play you meet three teachers who speak candidly about their principles, priorities and vulnerabilities to a pre-service teacher as they move between classes and staffroom. These are real people, real quotes and real feelings taken from real interview data, not idealised guidelines for ‘best practice’. Rather than templates for practice, the play offers a variety of models, issues and food for thought to discuss in teacher education programs. The project was interested in the moral dynamics of classrooms created under the Council of Australian Governments’ 2009 Compact with Young Australians, a policy move that required students to be ‘earning or learning till 17’ across all Australian states. By removing the unemployment benefit for this age group, and tying school attendance to family welfare entitlements, these policies effectively raised the minimum school-leaving age. The risk in this well-intended policy move is that a lack of suitable job opportunities will keep young people at school longer than they want to be there. The effects of this ‘earning or learning’ policy will impact some communities, schools and classrooms much harder than others. The title uses the metaphor of an iceberg to refer to the complex community-school relations that lie below classroom interactions. The idea of a morality play in the play’s title refers back to a medieval form of popular play that used characters to instruct the audience in virtues and values. In the same way, this play seeks to bring to the surface and embody the different moral principles that can inform teacher’s work. The research involved classroom ethnographies of classes for 16 to 17 years olds in non-academic pathways. Eight different teacher/ class combinations were sampled across 2 high schools, 2 TAFE colleges and I hybrid TAFE/school program in three towns experiencing chronic youth unemployment. Their timetabled lessons were observed across 3 to 4 weeks and the teachers and some students were interviewed in each site. The project was funded by an ARC Discovery Early Career Award, 2012-214.

Grøstl – a SHA-3 candidate

Grøstl is a SHA-3 candidate proposal. Grøstl is an iterated hash function with a compression function built from two fixed, large, distinct permutations. The design of Grøstl is transparent and based on principles very different from those used in the SHA-family. The two permutations are constructed using the wide trail design strategy, which makes it possible to give strong statements about the resistance of Grøstl against large classes of cryptanalytic attacks. Moreover, if these permutations are assumed to be ideal, there is a proof for the security of the hash function. Grøstl is a byte-oriented SP-network which borrows components from the AES. The S-box used is identical to the one used in the block cipher AES and the diffusion layers are constructed in a similar manner to those of the AES. As a consequence there is a very strong confusion and diffusion in Grøstl. Grøstl is a so-called wide-pipe construction where the size of the internal state is significantly larger than the size of the output. This has the effect that all known, generic attacks on the hash function are made much more difficult. Grøstl has good performance on a wide range of platforms and counter-measures against side-channel attacks are well-understood from similar work on the AES.

Grøstl - a SHA-3 candidate

Grøstl is a SHA-3 candidate proposal. Grøstl is an iterated hash function with a compression function built from two �fixed, large, distinct permutations. The design of Grøstl is transparent and based on principles very different from those used in the SHA-family. The two permutations are constructed using the wide trail design strategy, which makes it possible to give strong statements about the resistance of Grøstl against large classes of cryptanalytic attacks. Moreover, if these permutations are assumed to be ideal, there is a proof for the security of the hash function. Grøstl is a byte-oriented SP-network which borrows components from the AES. The S-box used is identical to the one used in the block cipher AES and the diffusion layers are constructed in a similar manner to those of the AES. As a consequence there is a very strong confusion and diffusion in Grøstl

Exercise barriers self-efficacy : development and validation of a subcale for individuals with cancer-related lymphedema

Background No tool exists to measure self-efficacy for overcoming lymphedema-related exercise barriers in individuals with cancer-related lymphedema. However, an existing scale measures confidence to overcome general exercise barriers in cancer survivors. Therefore, the purpose of this study was to develop, validate and assess the reliability of a subscale, to be used in conjunction with the general barriers scale, for determining exercise barriers self-efficacy in individuals facing lymphedema-related exercise barriers. Methods A lymphedema-specific exercise barriers self-efficacy subscale was developed and validated using a cohort of 106 cancer survivors with cancer-related lymphedema, from Brisbane, Australia. An initial ten-item lymphedema-specific barrier subscale was developed and tested, with participant feedback and principal components analysis results used to guide development of the final version. Validity and test-retest reliability analyses were conducted on the final subscale. Results The final lymphedema-specific subscale contained five items. Principal components analysis revealed these items loaded highly (> 0.75) on a separate factor when tested with a well-established nine-item general barriers scale. The final five-item subscale demonstrated good construct and criterion validity, high internal consistency (Cronbach’s alpha=0.93) and test-retest reliability (ICC=0.67, p< 0.01). Conclusions A valid and reliable lymphedema-specific subscale has been developed to assess exercise barriers self-efficacy in individuals with cancer-related lymphedema. This scale can be used in conjunction with an existing general exercise barriers scale to enhance exercise adherence in this understudied patient group.

A subexponential construction of graph coloring for multiparty computation

We show the first deterministic construction of an unconditionally secure multiparty computation (MPC) protocol in the passive adversarial model over black-box non-Abelian groups which is both optimal (secure against an adversary who possesses any t

Néstor-Guillermo Progeria Syndrome: a biochemical insight into Barrier-to-Autointegration Factor 1, alanine 12 threonine mutation

Background Premature aging syndromes recapitulate many aspects of natural aging and provide an insight into this phenomenon at a molecular and cellular level. The progeria syndromes appear to cause rapid aging through disruption of normal nuclear structure. Recently, a coding mutation (c.34G > A [p.A12T]) in the Barrier to Autointegration Factor 1 (BANF1) gene was identified as the genetic basis of Néstor-Guillermo Progeria syndrome (NGPS). This mutation was described to cause instability in the BANF1 protein, causing a disruption of the nuclear envelope structure. Results Here we demonstrate that the BANF1 A12T protein is indeed correctly folded, stable and that the observed phenotype, is likely due to the disruption of the DNA binding surface of the A12T mutant. We demonstrate, using biochemical assays, that the BANF1 A12T protein is impaired in its ability to bind DNA while its interaction with nuclear envelope proteins is unperturbed. Consistent with this, we demonstrate that ectopic expression of the mutant protein induces the NGPS cellular phenotype, while the protein localizes normally to the nuclear envelope. Conclusions Our study clarifies the role of the A12T mutation in NGPS patients, which will be of importance for understanding the development of the disease.

A Mammalian Circadian Clock Model Incorporating Daytime Expression Elements

Models of the mammalian clock have traditionally been based around two feedback loops-the self-repression of Per/Cry by interfering with activation by BMAL/CLOCK, and the repression of Bmal/Clock by the REV-ERB proteins. Recent experimental evidence suggests that the D-box, a transcription factor binding site associated with daytime expression, plays a larger role in clock function than has previously been understood. We present a simplified clock model that highlights the role of the D-box and illustrate an approach for finding maximum-entropy ensembles of model parameters, given experimentally imposed constraints. Parameter variability can be mitigated using prior probability distributions derived from genome-wide studies of cellular kinetics. Our model reproduces predictions concerning the dual regulation of Cry1 by the D-box and Rev-ErbA/ROR response element (RRE) promoter elements and allows for ensemble-based predictions of phase response curves (PRCs). Nonphotic signals such as Neuropeptide Y (NPY) may act by promoting Cry1 expression, whereas photic signals likely act by stimulating expression from the E/E' box. Ensemble generation with parameter probability restraints reveals more about a model's behavior than a single optimal parameter set.

Knowing

Directed by Alex Proyas, the Knowing is an action-packed science-fiction disaster movie. A well-known Australian director working in Hollywood, Proyas has developed an international reputation for stylised fantasy and science-fiction movies, including the neo-gothic movie The Crow (1994), the complex science-fiction film Dark City (1998), and the adaptation of Isaac Asimov’s sci-fi classic I, Robot (2004) which earned almost US$350 million theatrically worldwide. Knowing was produced for US$50 million and relies heavily upon special effects (including a visually impressive sequence of the world being destroyed) and high-octane action sequences (including a notable plane crash). Knowing’s cast included Australian actors, Rose Byrne and Ben Mendelsohn, and American actor Nicolas Cage. While Knowing received typically poor critical reviews, the movie performed well at the box-office earning over US$183 million worldwide.

A Few Best Men

Like most of Stephan Elliott’s movies, A Few Best Men is difficult to discuss without focusing on the director himself. A wedding-gone-wrong comedy, A Few Best Men is Elliott’s first Australian feature film in seventeen years. After directing the low-budget crime-thriller Frauds (1993), Elliott achieved worldwide success as writer-director of the Oscar-winning road movie Adventures of Priscilla, Queen of the Desert (1994). A quirky and visually striking film about two drag-queens and a transsexual’s journey across the harsh Australian outback in a bus named Priscilla, the movie earned over US$70 million at the international box-office and became an instant Australian classic. Elliott’s career, however, self-destructed soon after...

Black Diggers: Out of the trenches at the Brisbane Festival (Theatre review)

The performance space in which Wesley Enoch’s play Black Diggers is being performed at the Brisbane Festival is a large black box. It features a raised stage in the middle which proves versatile for battlegrounds at home and abroad – and later as ground for discriminatory encounters experienced by Aboriginal returned ex-servicemen. The fire-filled 44-gallon drum off to the side creates another space of encounter; there are few other props. Now and then, dates and other details are whitewashed on the black walls...

Discovering future disaster management capability needs using scenario planning

In recent years disaster risk reduction efforts have focused on disturbances ranging from climate variability, seismic hazards, geo-political instability and public and animal health crises. These factors combined with uncertainty derived from inter-dependencies within and across systems of critical infrastructure create significant problems of governance for the private and public sector alike. The potential for rapid spread of impacts, geographically and virtually, can render a comprehensive understanding of disaster response and recovery needs and risk mitigation issues beyond the grasp of competent authority. Because of such cascading effects communities and governments at local and state-levels are unlikely to face single incidents but rather series of systemic impacts: often appearing concurrently. A further point to note is that both natural and technological hazards can act directly on socio-technical systems as well as being propagated by them: as network events. Such events have been categorised as ‘outside of the box,’ ‘too fast,’ and ‘too strange’ (Lagadec, 2004). Emergent complexities in linked systems can make disaster effects difficult to anticipate and recovery efforts difficult to plan for. Beyond the uncertainties of real world disasters, that might be called familiar or even regular, can we safely assume that the generic capability we use now will suit future disaster contexts? This paper presents initial scoping of research funded by the Bushfire and Natural Hazards Cooperative Research Centre seeking to define future capability needs of disaster management organisations. It explores challenges to anticipating the needs of representative agencies and groups active in before, during and after phases of emergency and disaster situations using capability deficit assessments and scenario assessment.

Road operation phase sustainability indicator as a response to the climate change phenomena

Road infrastructure is a major contributor of greenhouse gas (GHG) around the world. Once constructed, a road becomes a part of a road network and is subjected to recurrent maintenance/rehabilitation activities. Studies to date are mostly aimed at the development of sustainability indicators that deal with the material and construction phases of a road when it is constructed. The operation phase is infrequently studied and there is a need for sustainability indicators to be developed relating to this phase to better understand the GHG emissions as a proper response to the climate change phenomena. During the operation phase, maintenance/rehabilitation activities are undertaken based on certain agreed intervention criteria that do not include environmental implications relating to the climate change aspect properly. Availability of appropriate indicators may, therefore, assist in sustainable road asset maintenance management. This paper presents the findings of a literature based study and has proposed a way forward to develop a key “road operation phase” environmental indicator, which can contribute to road operation phase carbon footprint management based on a comprehensive road life cycle system boundary model. The proposed indicator can address multiple aspects of high impact road operation life environmental components such as: pavement rolling resistance, albedo, material, traffic congestion and lighting, based on availability of relevant scientific knowledge. Development of the indicator to appropriate level would offset the impacts of these components significantly and contribute to sustainable road operation management.

Modified MLVA for genotyping Queensland invasive Streptococcus pneumoniae

Background Globally, over 800 000 children under five die each year from infectious diseases caused by Streptococcus pneumoniae. To understand genetic relatedness between isolates, study transmission routes, assess the impact of human interventions e.g. vaccines, and determine infection sources, genotyping methods are required. The ‘gold standard’ genotyping method, Multi-Locus Sequence Typing (MLST), is useful for long-term and global studies. Another genotyping method, Multi-Locus Variable Number of Tandem Repeat Analysis (MLVA), has emerged as a more discriminatory, inexpensive and faster technique; however there is no universally accepted method and it is currently suitable for short-term and localised epidemiology studies. Currently Australia has no national MLST database, nor has it adopted any MLVA method for short-term or localised studies. This study aims to improve S. pneumoniae genotyping methods by modifying the existing MLVA techniques to be more discriminatory, faster, cheaper and technically less demanding than previously published MLVA methods and MLST. Methods Four different MLVA protocols, including a modified method, were applied to 317 isolates of serotyped invasive S. pneumoniae isolated from sterile body sites of Queensland children under 15 years from 2007–2012. MLST was applied to 202 isolates for comparison. Results The modified MLVA4 is significantly more discriminatory than the ‘gold standard’ MLST method. MLVA4 has similar discrimination compared to other MLVA techniques in this study). The failure to amplify particular loci in previous MLVA methods were minimised in MLVA4. Failure to amplify BOX-13 and Spneu19 were found to be serotype specific. Conclusion We have modified a highly discriminatory MLVA technique for genotyping Queensland invasive S. pneumoniae. MLVA4 has the ability to enhance our understanding of the pneumococcal epidemiology and the changing genetics of the pneumococcus in localised and short-term studies.

From ImageNet to mining: Adapting visual object detection with minimal supervision

This paper presents visual detection and classification of light vehicles and personnel on a mine site.We capitalise on the rapid advances of ConvNet based object recognition but highlight that a naive black box approach results in a significant number of false positives. In particular, the lack of domain specific training data and the unique landscape in a mine site causes a high rate of errors. We exploit the abundance of background-only images to train a k-means classifier to complement the ConvNet. Furthermore, localisation of objects of interest and a reduction in computation is enabled through region proposals. Our system is tested on over 10km of real mine site data and we were able to detect both light vehicles and personnel. We show that the introduction of our background model can reduce the false positive rate by an order of magnitude.