A chance for diversity? Australian online journalism

Australia’s mainstream media landscape has long been recognised as highly limited – media ownership in the country has traditionally been concentrated in the hands of a very few, and (except for Sydney and Melbourne) it is common for major Australian cities to be served by only one local newspaper, usually produced by Rupert Murdoch’s News Ltd. This can be seen also to affect the quality and diversity of Australian journalism; additionally, the global decline of newspaper publishers’ revenues and overall adverse economic conditions exert further pressure on journalistic operations in the country. At the same time, and possibly in response to the increasing stresses on industrial journalism in the country and the implications they have for the quality of journalistic products, a vibrant and dynamic ecosystem of Australian industrial and citizen journalism publications has emerged online. Existing media organisations have built strong news brands online, while citizen journalists and political bloggers have given voice to issues, concerns, and opinions hitherto underrepresented in Australian mainstream journalism; of particular interest, however, is the increasing level of engagement and interaction between the two. While such interaction has been characterised by deep animosity at times (especially also in the context of the Australian federal election in November 2007), Australia has also seen the emergence and establishment of a number of new, intermediary online publications which act as spaces for public debate and analysis – from the public intellectualism of Online Opinion through the muckraking of Crikey to the progressive politics of New Matilda. The rise of social media as spaces for the discussion of news and politics further changes the media environment, potentially leading both to renewed conflict between professional and citizen journalists and to a greater level of engagement between journalists and audiences. Overall, then, such online developments offer a chance for a greater diversity of opinion and representation in Australian journalism, but also remain under a cloud from uncertain long-term business models and funding arrangements. This chapter outlines current trends in Australian online journalism, and speculates about their effect on the Australian news media landscape.

Predictive modelling : parents’ decision making to use online child health information to increase their understanding and/or diagnose or treat their child’s health

Abstract Background The quantum increases in home Internet access and available online health information with limited control over information quality highlight the necessity of exploring decision making processes in accessing and using online information, specifically in relation to children who do not make their health decisions. Objectives To understand the processes explaining parents’ decisions to use online health information for child health care. Methods Parents (N = 391) completed an initial questionnaire assessing the theory of planned behaviour constructs of attitude, subjective norm, and perceived behavioural control, as well as perceived risk, group norm, and additional demographic factors. Two months later, 187 parents completed a follow-up questionnaire assessing their decisions to use online information for their child’s health care, specifically to 1) diagnose and/or treat their child’s suspected medical condition/illness and 2) increase understanding about a diagnosis or treatment recommended by a health professional. Results Hierarchical multiple regression showed that, for both behaviours, attitude, subjective norm, perceived behavioural control, (less) perceived risk, group norm, and (non) medical background were the significant predictors of intention. For parents’ use of online child health information, for both behaviours, intention was the sole significant predictor of behaviour. The findings explain 77% of the variance in parents’ intention to treat/diagnose a child health problem and 74% of the variance in their intentions to increase their understanding about child health concerns. Conclusions Understanding parents’ socio-cognitive processes that guide their use of online information for child health care is important given the increase in Internet usage and the sometimes-questionable quality of health information provided online. Findings highlight parents’ thirst for information; there is an urgent need for health professionals to provide parents with evidence-based child health websites in addition to general population education on how to evaluate the quality of online health information.

A hybrid simulation framework to assess the impact of renewable generators on a distribution network

With an increasing number of small-scale renewable generator installations, distribution network planners are faced with new technical challenges (intermittent load flows, network imbalances…). Then again, these decentralized generators (DGs) present opportunities regarding savings on network infrastructure if installed at strategic locations. How can we consider both of these aspects when building decision tools for planning future distribution networks? This paper presents a simulation framework which combines two modeling techniques: agent-based modeling (ABM) and particle swarm optimization (PSO). ABM is used to represent the different system units of the network accurately and dynamically, simulating over short time-periods. PSO is then used to find the most economical configuration of DGs over longer periods of time. The infrastructure of the framework is introduced, presenting the two modeling techniques and their integration. A case study of Townsville, Australia, is then used to illustrate the platform implementation and the outputs of a simulation.

Mobile Q&A for enhancing online discussion

In this study, we explore the design and evaluation of a mobile online discussion system for motivating students to share their learning experiences. The system supports interaction with peers and academic staff anytime and anywhere using mobile devices. The application introduces a set of features that enables customisation for different purposes. This paper describes the application and explains the motivation for developing the application. We describe the methods and results of a case study that explores usage of the application among a small group of localised participants. Finally, we discuss the implications of this work and outline future areas of research and development.

Sentencing indigenous and non-indigenous women in Western Australia's higher courts : A summary of the main findings of a narrative study

This paper presents the main findings of a narrative examination of higher court sentencing remarks to explore the relationship between Indigeneity and sentencing for female defendants in Western Australia. Using the theoretical framework of focal concerns, we found that key differences in the construction of blameworthiness and risk between the sentencing stories of Indigenous and non-Indigenous female offenders, through the identification of issues such as mental health, substance abuse, familial trauma and community ties. Further, in the sentencing narratives, Indigenous women were viewed differently in terms of social costs of imprisonment.

Commercial and retail leases in Australia Online [6th ed.]

"Authored by well-established leasing experts including Professor WD Duncan, author of the book Commercial Leases in Australia (6th ed), this loose leaf and online service offers a variety of resources to save solicitors and barristers time when negotiating or disputing commercial leasing matters at home and across the country. This is the only work to offer annotated retail leasing legislation for the three main States, including discussion of tribunal decisions and links directly to equivalent provisions in all other jurisdictions. A comparative table highlights key differences and similarities in retail leasing legislation between all States at a glance. Solicitors are then able to draw upon deeper treatment of commercial leasing in all States in principles-based commentary, and access precedents that are readily adaptable for other jurisdictions." -- publisher website

Combinatorial design of key distribution mechanisms for wireless sensor networks

Secure communications in wireless sensor networks operating under adversarial conditions require providing pairwise (symmetric) keys to sensor nodes. In large scale deployment scenarios, there is no prior knowledge of post deployment network configuration since nodes may be randomly scattered over a hostile territory. Thus, shared keys must be distributed before deployment to provide each node a key-chain. For large sensor networks it is infeasible to store a unique key for all other nodes in the key-chain of a sensor node. Consequently, for secure communication either two nodes have a key in common in their key-chains and they have a wireless link between them, or there is a path, called key-path, among these two nodes where each pair of neighboring nodes on this path have a key in common. Length of the key-path is the key factor for efficiency of the design. This paper presents novel deterministic and hybrid approaches based on Combinatorial Design for deciding how many and which keys to assign to each key-chain before the sensor network deployment. In particular, Balanced Incomplete Block Designs (BIBD) and Generalized Quadrangles (GQ) are mapped to obtain efficient key distribution schemes. Performance and security properties of the proposed schemes are studied both analytically and computationally. Comparison to related work shows that the combinatorial approach produces better connectivity with smaller key-chain sizes.

Improving self care of patients with chronic disease using online personal health record

BACKGROUND: Effective management of chronic diseases such as prostate cancer is important. Research suggests a tendency to use self-care treatment options such as over-the-counter (OTC) complementary medications among prostate cancer patients. The current trend in patient-driven recording of health data in an online Personal Health Record (PHR) presents an opportunity to develop new data-driven approaches for improving prostate cancer patient care. However, the ability of current online solutions to share patients' data for better decision support is limited. An informatics approach may improve online sharing of self-care interventions among these patients. It can also provide better evidence to support decisions made during their self-managed care. AIMS: To identify requirements for an online system and describe a new case-based reasoning (CBR) method for improving self-care of advanced prostate cancer patients in an online PHR environment. METHOD: A non-identifying online survey was conducted to understand self-care patterns among prostate cancer patients and to identify requirements for an online information system. The pilot study was carried out between August 2010 and December 2010. A case-base of 52 patients was developed. RESULTS: The data analysis showed self-care patterns among the prostate cancer patients. Selenium (55%) was the common complementary supplement used by the patients. Paracetamol (about 45%) was the commonly used OTC by the patients. CONCLUSION: The results of this study specified requirements for an online case-based reasoning information system. The outcomes of this study are being incorporated in design of the proposed Artificial Intelligence (Al) driven patient journey browser system. A basic version of the proposed system is currently being considered for implementation.

Mediating identity narratives : a case study in queer digital storytelling as everyday activism

Digital Stories are short autobiographical documentaries, often illustrated with personal photographs and narrated in the first person, and typically produced in group workshops. As a media form they offer ‘ordinary people’ the opportunity to represent themselves to audiences of their choosing; and this amplification of hitherto unheard voices has significant repercussions for their social participation. Many of the storytellers involved in the ‘Rainbow Family Tree’ case study that is the subject of this paper can be characterised as ‘everyday’ activists for their common desire to use their personal stories to increase social acceptance of marginalised identity categories. However, in conflict with their willingness to share their personal stories, many fear the risks and ramifications of distributing them in public spaces (especially online) to audiences both intimate and unknown. Additionally, while technologies for production and distribution of rich media products have become more accessible and user-friendly, many obstacles remain. For many people there are difficulties with technological access and aptitude, personal agency, cultural capital, and social isolation, not to mention availability of the time and energy requisite to Digital Storytelling. Additionally, workshop context, facilitation and distribution processes all influence the content of stories. This paper explores the many factors that make ‘authentic’ self-representation far from straight forward. I use qualitative data drawn from interviews, Digital Story texts and ethnographic observation of GLBTQIS participants in a Digital Storytelling initiative that combined face-to-face and online modes of participation. I consider mediating influences in practice and theory and draw on strategies put forth in cultural anthropology and narrative therapy to propose some practical tools for nuanced and sensitive facilitation of Digital Storytelling workshops and webspaces. Finally, I consider the implications of these facilitation strategies for voice, identity and social participation.

miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data

miRDeep and its varieties are widely used to quantify known and novel micro RNA (miRNA) from small RNA sequencing (RNAseq). This article describes miRDeep*, our integrated miRNA identification tool, which is modeled off miRDeep, but the precision of detecting novel miRNAs is improved by introducing new strategies to identify precursor miRNAs. miRDeep* has a user-friendly graphic interface and accepts raw data in FastQ and Sequence Alignment Map (SAM) or the binary equivalent (BAM) format. Known and novel miRNA expression levels, as measured by the number of reads, are displayed in an interface, which shows each RNAseq read relative to the pre-miRNA hairpin. The secondary pre-miRNA structure and read locations for each predicted miRNA are shown and kept in a separate figure file. Moreover, the target genes of known and novel miRNAs are predicted using the TargetScan algorithm, and the targets are ranked according to the confidence score. miRDeep* is an integrated standalone application where sequence alignment, pre-miRNA secondary structure calculation and graphical display are purely Java coded. This application tool can be executed using a normal personal computer with 1.5 GB of memory. Further, we show that miRDeep* outperformed existing miRNA prediction tools using our LNCaP and other small RNAseq datasets. miRDeep* is freely available online at http://www.australianprostatecentre.org/research/software/mirdeep-star

Applied sub-transmission & distribution reliability assessment of SEQEB network in Queensland

In this paper a combined subtransmission and distribution reliability analysis of SEQEB’s outer suburban network is presented. The reliability analysis was carried out with a commercial software package which evaluates both energy and customer indices. Various reinforcement options were investigated to ascertain the impact they have on the reliability of supply seen by the customers. The customer and energy indices produced by the combined subtransmission and distribution reliability studies contributed to optimise capital expenditure to the most effective areas of the network.

Mixed convection over a horizontal plate with streamwise non-uniform surface temperature distribution

Numerical investigation on mixed convection of a two-dimensional incompressible laminar flow over a horizontal flat plate with streamwise sinusoidal distribution of surface temperature has been performed for different values of Rayleigh number, Reynolds number and frequency of periodic temperature for constant Prandtl number and amplitude of periodic temperature. Finite element method adapted to rectangular non-uniform mesh elements by a non-linear parametric solution algorithm basis numerical scheme has been employed. The investigating parameters are the Rayleigh number, the Reynolds number and frequency of periodic temperature. The effect of variation of individual investigating parameters on mixed convection flow characteristics has been studied to observe the hydrodynamic and thermal behavior for while keeping the other parameters constant. The fluid considered in this study is air with Prandtl number 0.72. The results are obtained for the Rayleigh number range of 102 to 104, Reynolds number ranging from 1 to 100 and the frequency of periodic temperature from 1 to 5. Isotherms, streamlines, average and local Nusselt numbers are presented to show the effect of the different values of aforementioned investigating parameters on fluid flow and heat transfer.

Bilingual asynchronous online discussion groups : design and delivery of an e-Learning distance study module for nurse academics in a developing country

The advent of eLearning has seen online discussion forums widely used in both undergraduate and postgraduate nursing education. This paper reports an Australian university experience of design, delivery and redevelopment of a distance education module developed for Vietnamese nurse academics. The teaching experience of Vietnamese nurse academics is mixed and frequently limited. It was decided that the distance module should attempt to utilise the experience of senior Vietnamese nurse academics - asynchronous online discussion groups were used to facilitate this. Online discussion occurred in both Vietnamese and English and was moderated by an Australian academic working alongside a Vietnamese translator. This paper will discuss the design of an online learning environment for foreign correspondents, the resources and translation required to maximise the success of asynchronous online discussion groups, as well as the rationale of delivering complex content in a foreign language. While specifically addressing the first iteration of the first distance module designed, this paper will also address subsequent changes made for the second iteration of the module and comment on their success. While a translator is clearly a key component of success, the elements of simplicity and clarity combined with supportive online moderation must not be overlooked.

Classification—Content Regulation and Convergent Media

On 24 March 2011, Attorney-General Robert McClelland referred the National Classification Scheme to the ALRC and asked it to conduct widespread public consultation across the community and industry. The review considered issues including: existing Commonwealth, State and Territory classification laws the current classification categories contained in the Classification Act, Code and Guidelines the rapid pace of technological change the need to improve classification information available to the community the effect of media on children and the desirability of a strong content and distribution industry in Australia. During the inquiry, the ALRC conducted face-to-face consultations with stakeholders, hosted two online discussion forums, and commissioned pilot community and reference group forums into community attitudes to higher level media content. The ALRC published two consultation documents—an Issues Paper and a Discussion Paper—and invited submissions from the public. The Final Report was tabled in Parliament on 1 March 2012. Recommendations: The report makes 57 recommendations for reform. The net effect of the recommendations would be the establishment of a new National Classification Scheme that: applies consistent rules to content that are sufficiently flexible to be adaptive to technological change; places a regulatory focus on restricting access to adult content, helping to promote cyber-safety and protect children from inappropriate content across media platforms; retains the Classification Board as an independent classification decision maker with an essential role in setting benchmarks; promotes industry co-regulation, encouraging greater industry content classification, with government regulation more directly focused on content of higher community concern; provides for pragmatic regulatory oversight, to meet community expectations and safeguard community standards; reduces the overall regulatory burden on media content industries while ensuring that content obligations are focused on what Australians most expect to be classified; and harmonises classification laws across Australia, for the benefit of consumers and content providers.

Optimal distribution network reinforcement considering load growth, line loss, and reliability

In this paper, a new comprehensive planning methodology is proposed for implementing distribution network reinforcement. The load growth, voltage profile, distribution line loss, and reliability are considered in this procedure. A time-segmentation technique is employed to reduce the computational load. Options considered range from supporting the load growth using the traditional approach of upgrading the conventional equipment in the distribution network, through to the use of dispatchable distributed generators (DDG). The objective function is composed of the construction cost, loss cost and reliability cost. As constraints, the bus voltages and the feeder currents should be maintained within the standard level. The DDG output power should not be less than a ratio of its rated power because of efficiency. A hybrid optimization method, called modified discrete particle swarm optimization, is employed to solve this nonlinear and discrete optimization problem. A comparison is performed between the optimized solution based on planning of capacitors along with tap-changing transformer and line upgrading and when DDGs are included in the optimization.