Theorising youth and everyday peace(building)

This essay presents a locally-grounded theoretical framework for studying youth and everyday peace(building). Drawing on examples from fieldwork as well as insights from the articles to follow in the journal, the essay highlights three interrelated and overlapping spheres of inquiry. First, it makes the case for examining the age-specific as well as gender-, and other contextually-specific roles of youth as they relate to everyday peacebuilding. Second, the essay draws attention to how everyday peace is narrated by or through youth. It poses questions about what values, policies, and governmental structures are specifically being resisted and rejected, and how peace is conceptualised and/or hidden in the narratives of youth. Third, along with these concerns, the nexus of global and local (including discursive and institutional) structures that facilitate, curtail, and curtain everyday peace (building) practices are important to identify and evaluate for their impacts on the roles and ideas of youth. In proposing this theoretical framework that recognises the complex and multiple ways youth are engaged in their everyday worlds, this essay asks how we can engage this recognition within knowledges and practices of everyday peace(building).

The persistence of predictors of wellbeing among refugee youth eight years after resettlement in Melbourne, Australia

This short report assesses the predictors of subjective health and happiness among a cohort of refugee youth over their first eight years in Australia. Five waves of data collection were conducted between 2004 (n=120) and 2012–13 (n=51) using mixed methods. Previous schooling,self-esteem, moving house in the previous year, a supportive social environment, stronger ethnic identity and perceived discrimination were significant predictors of wellbeing after adjusting for demographic and pre-migration factors. When compared with a previous analysis of this cohort over their first three years of settlement, experiences of social exclusion still have a significant impact on wellbeing eight years after arriving in Australia. This study contributes to mounting evidence in support of policies that discourage discrimination and promote social inclusion and cultural diversity and which underpin the wellbeing of resettled refugee youth.

Through their eyes: Seeing experiences of Settlement in photographs taken by refugee background youth in Melbourne, Australia

Although “refugees” are frequently represented in visual media, it is predominantly as the central subject matter and rarely are they positioned as the photographers of their own journeys. In this article we present photographic images that have been taken by refugee background youth portraying their experiences of the first years of settlement in Australia. We consider how, in our longitudinal research conducted with 120 refugee background youth, visual materials can provide equally important yet different insights in comparison to written or spoken narratives on the experiences of refugee settlement. Through an examination of over 1,000 photos taken by these youth, we explore the ways in which they portrayed their early experiences of external suburban settlement environments and their depictions of interior spaces and home-making practices. We discuss how these visual insights capture an alternative way of seeing the experiences of becoming at home as the youth become emplaced post-resettlement in Australia. We argue that the photographs taken by these refugee background youth illustrate how visual methods and materials can provide equally important but often overlooked insights into early settlement experiences. Importantly, the photographic images offer a way of portraying the people, places and sentiments that are central to the everyday lives of refugee background youths in ways that oral and written narratives can not.

New England Youth Speeding Project: A pilot study of young drivers and risky driving: Effective strategies for preventing speeding amongst young Australians aged 16-25 years in the New England Region

Young Australian drivers aged 17 – 25 years are overwhelmingly represented in road fatalities where speed is a factor. In the combined LGAs of Armidale Dumaresq, Guyra, Uralla and Walcha in the 5 years 1999-2003 inclusive, 43% of speeding related casualty crashes involved a young driver aged less than 25 years. This is despite the fact that the 17-25 age group account for only 25% of the driving population in this area. Young male drivers account for the majority of these crashes and also tend to have a higher number of driving offences and accrue more penalties for road traffic offences, especially speeding. By analysing data from questionnaires by male and female participants this research project has been able to evaluate road safety advertisements to determine which ones are most effective to young drivers, what features of these advertisements are effective, how males differ from females in their receptiveness and preferences for road safety advertisements and specifically how to target young people especially young men in conveying road safety messages. Finally this research project has identified factors that are important in the production of media road safety advertisements and has made recommendations for how best to convey effective road safety messages to young Australian drivers in rural areas.

Using environmental criminology theories to compare ‘youth misuse of fire’ across age groups in New South Wales

Youth misuse of fire is a substantive community concern. Despite evidence which indicates youths account for a significant proportion of all deliberately lit fires within Australia, an absence of up-to-date, contextually specific research means the exact scope and magnitude of youth misuse of fire within Australia remains unknown. Despite research suggesting com- monalities exist between youth misuse of fire and juvenile offending more broadly, misuse of fire is rarely explained using criminological theory. In light of this gap, a descriptive analysis of youth misuse of fire within New South Wales was performed. Routine Activity Theory and Crime Pattern Theory were tested to explain differences in misuse of fire across age groups. Results suggest these environmental theories offer useful frameworks for explaining youth misuse of fire in New South Wales. It is argued that the Routine Activity Theory and Crime Pattern Theory can be employed to better inform youth misuse of fire policy and prevention efforts.

Storytelling and new media technologies: Investigating the potential of the ABC's Heywire for regional youth

This thesis investigates an instance of audience participation within the Australian public service media institution, the ABC. The case study for this research – the ABC’s ‘Heywire’ project – is a regional youth storytelling project, an online platform, and an example of the potentials as well as the limitations of personal narrative and digital technologies for incorporating the voices and self-representations of audiences. By investigating 'Heywire', this thesis illuminates the exciting opportunities and also some profound challenges that arise when public service media institutions invite their audiences to participate as content creators and storytellers.

Programming: Reading, writing and reversing

In this paper, we look at the concept of reversibility, that is, negating opposites, counterbalances, and actions that can be reversed. Piaget identified reversibility as an indicator of the ability to reason at a concrete operational level. We investigate to what degree novice programmers manifest the ability to work with this concept of reversibility by providing them with a small piece of code and then asking them to write code that undoes the effect of that code. On testing entire cohorts of students in their first year of learning to program, we found an overwhelming majority of them could not cope with such a concept. We then conducted think aloud studies of novices where we observed them working on this task and analyzed their contrasting abilities to deal with it. The results of this study demonstrate the need for better understanding our students' reasoning abilities, and a teaching model aimed at that level of reality.

Linear programming for large-scale Markov decision problems

We consider the problem of controlling a Markov decision process (MDP) with a large state space, so as to minimize average cost. Since it is intractable to compete with the optimal policy for large scale problems, we pursue the more modest goal of competing with a low-dimensional family of policies. We use the dual linear programming formulation of the MDP average cost problem, in which the variable is a stationary distribution over state-action pairs, and we consider a neighborhood of a low-dimensional subset of the set of stationary distributions (defined in terms of state-action features) as the comparison class. We propose a technique based on stochastic convex optimization and give bounds that show that the performance of our algorithm approaches the best achievable by any policy in the comparison class. Most importantly, this result depends on the size of the comparison class, but not on the size of the state space. Preliminary experiments show the effectiveness of the proposed algorithm in a queuing application.

Model Predictive Static Programming: A Computationally Efficient Technique For Suboptimal Control Design

Combining the philosophies of nonlinear model predictive control and approximate dynamic programming, a new suboptimal control design technique is presented in this paper, named as model predictive static programming (MPSP), which is applicable for finite-horizon nonlinear problems with terminal constraints. This technique is computationally efficient, and hence, can possibly be implemented online. The effectiveness of the proposed method is demonstrated by designing an ascent phase guidance scheme for a ballistic missile propelled by solid motors. A comparison study with a conventional gradient method shows that the MPSP solution is quite close to the optimal solution.

Juvenile justice: Youth and crime in Australia [Fifth Edition]

Juvenile Justice 5th edition explores youth and crime in Australia, and the institutions and agencies associated with the administration of juvenile justice. It provides an accessible introduction to the main concepts and issues of juvenile justice and critically analyses the principles, policies and practices associated with it. The book provides clear information across a broad range of areas, and raises a number of questions about the institutions of juvenile justice and how we think about issues of juvenile justice.

Programming an FPGA to Emulate the Dynamics of DC Machines

This paper presents the programming an FPGA (Field Programmable Gate Array) to emulate the dynamics of DC machines. FPGA allows high speed real time simulation with high precision. The described design includes block diagram representation of DC machine, which contain all arithmetic and logical operations. The real time simulation of the machine in FPGA is controlled by user interfaces they are Keypad interface, LCD display on-line and digital to analog converter. This approach provides emulation of electrical machine by changing the parameters. Separately Exited DC machine implemented and experimental results are presented.

A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data

Background: A genetic network can be represented as a directed graph in which a node corresponds to a gene and a directed edge specifies the direction of influence of one gene on another. The reconstruction of such networks from transcript profiling data remains an important yet challenging endeavor. A transcript profile specifies the abundances of many genes in a biological sample of interest. Prevailing strategies for learning the structure of a genetic network from high-dimensional transcript profiling data assume sparsity and linearity. Many methods consider relatively small directed graphs, inferring graphs with up to a few hundred nodes. This work examines large undirected graphs representations of genetic networks, graphs with many thousands of nodes where an undirected edge between two nodes does not indicate the direction of influence, and the problem of estimating the structure of such a sparse linear genetic network (SLGN) from transcript profiling data. Results: The structure learning task is cast as a sparse linear regression problem which is then posed as a LASSO (l1-constrained fitting) problem and solved finally by formulating a Linear Program (LP). A bound on the Generalization Error of this approach is given in terms of the Leave-One-Out Error. The accuracy and utility of LP-SLGNs is assessed quantitatively and qualitatively using simulated and real data. The Dialogue for Reverse Engineering Assessments and Methods (DREAM) initiative provides gold standard data sets and evaluation metrics that enable and facilitate the comparison of algorithms for deducing the structure of networks. The structures of LP-SLGNs estimated from the INSILICO1, INSILICO2 and INSILICO3 simulated DREAM2 data sets are comparable to those proposed by the first and/or second ranked teams in the DREAM2 competition. The structures of LP-SLGNs estimated from two published Saccharomyces cerevisae cell cycle transcript profiling data sets capture known regulatory associations. In each S. cerevisiae LP-SLGN, the number of nodes with a particular degree follows an approximate power law suggesting that its degree distributions is similar to that observed in real-world networks. Inspection of these LP-SLGNs suggests biological hypotheses amenable to experimental verification. Conclusion: A statistically robust and computationally efficient LP-based method for estimating the topology of a large sparse undirected graph from high-dimensional data yields representations of genetic networks that are biologically plausible and useful abstractions of the structures of real genetic networks. Analysis of the statistical and topological properties of learned LP-SLGNs may have practical value; for example, genes with high random walk betweenness, a measure of the centrality of a node in a graph, are good candidates for intervention studies and hence integrated computational – experimental investigations designed to infer more realistic and sophisticated probabilistic directed graphical model representations of genetic networks. The LP-based solutions of the sparse linear regression problem described here may provide a method for learning the structure of transcription factor networks from transcript profiling and transcription factor binding motif data.

Parallel parsing of programming languages

A new method of specifying the syntax of programming languages, known as hierarchical language specifications (HLS), is proposed. Efficient parallel algorithms for parsing languages generated by HLS are presented. These algorithms run on an exclusive-read exclusive-write parallel random-access machine. They require O(n) processors and O(log2n) time, where n is the length of the string to be parsed. The most important feature of these algorithms is that they do not use a stack.

‘The door creaked shut’: The new breach of bail offence for youth in Queensland

As part of the 2014 amendments to the Youth Justice Act 1992 (Qld) the previous Queensland government introduced a new breach of bail offence and a reverse onus provision in relation to the new offence. Also included in the raft of amendments was a provision removing the internationally accepted principle that, in relation to young offenders, detention should be used as ‘a last resort’. This article argues that these changes are likely to increase the entrenchment of young people within the criminal justice system.

Mathematics, programming, and STEM

Learning mathematics is a complex and dynamic process. In this paper, the authors adopt a semiotic framework (Yeh & Nason, 2004) and highlight programming as one of the main aspects of the semiosis or meaning-making for the learning of mathematics. During a 10-week teaching experiment, mathematical meaning-making was enriched when primary students wrote Logo programs to create 3D virtual worlds. The analysis of results found deep learning in mathematics, as well as in technology and engineering areas. This prompted a rethinking about the nature of learning mathematics and a need to employ and examine a more holistic learning approach for the learning in science, technology, engineering, and mathematics (STEM) areas.