Methods and consequences of suicide attempts among Australian students

Schweitzer et al. previously published a paper in the Australian and New Zealand Journal of Psychiatry which provided prevalence rates on suicidal ideation and behaviour among university students [1]. We wish to provide an update on extensions of our previously published work. In our previous publication we indicated the relatively high percentage of students who reported suicide-related behaviour over the past 12 months (6.6%). This figure is very similar to a more recent study undertaken in the UK where 6% of student respondents reported suicide attempts [2]. As a follow up, we investigated this finding further in studies undertaken in 1994 and 1997 by asking fresh samples of University of Queensland first-year undergraduates who responded positively to the question ‘I have made attempts to kill myself’ (in the past year), to provide additional data relating to the methods employed in their suicide attempts and the consequences following their suicide attempt in terms of level of injury and medical care received...

Saudi Arabia’s sustainable housing limitations : the experts’ views

Purpose The purpose of this paper is to attempt to bridge the gap between sustainable housing and the use of smart technologies to improve the level of sustainability in the housing construction in Saudi Arabia, by discussing the barriers and enablers concerned with applying sustainability to housing construction in Saudi Arabia, which utilises smart technologies. Design/methodology/approach A Delphi method survey was employed, for which 25 individuals from three key stakeholder groups of the Saudi housing sector participated. They were asked about their degree of agreement (or disagreement) about the various barriers and enablers of applying sustainability to housing construction in Saudi Arabia, which utilises smart technologies. This research paper must be considered as an indicative study of selected experts that do not represent in any way the total population of Saudi Arabia. Findings Lack of public awareness has been identified as the most significant barrier in implementing sustainable housing development in Saudi Arabia, which utilises smart technologies. Raising awareness of the public to the benefits of sustainable housing and enlightening key project stakeholders in the design of sustainable housing are both essential in order to overcome the barriers discussed in this paper. In addition, it is important to adopt smart sustainable construction methods, exemplified by but not limited to, appropriate water preservation and wastewater treatment systems that are simultaneously smart and sustainable. Research limitations/implications This particular research has dealt with only barriers and enablers in the application of sustainability to housing in Saudi Arabia, which utilises smart technologies. For a more complete understanding, there is a need for further analysis of supplementary factors. Practical implications A study such as this, which identifies and prioritises barriers and enablers, could prove useful in guiding or encouraging the relevant ministry in Saudi Arabia to develop policies founded in the implementation of sustainability to the housing sector. Originality/value This research is a preliminary investigation into the implementation of sustainable housing development as it relates to Saudi Arabia.

The role of the molecular footprint of EGFR in tailoring treatment decisions in NSCLC

The majority of patients with non-small-cell lung cancer (NSCLC) present with advanced disease, with targeted therapies providing some improvement in clinical outcomes. The epidermal growth factor receptor (EGFR) tyrosine kinase (TK) plays an important role in the pathogenesis of NSCLC. Tyrosine kinase inhibitors (TKIs), which target the EGFR TK domain, have proven to be an effective treatment strategy; however, patient responses to treatment vary considerably. Therefore, the identification of patients most likely to respond to treatment is essential to optimise the benefit of TKIs. Tumour-associated activating mutations in EGFR can identify patients with NSCLC who are likely to have a good response to TKIs. Nonetheless, the majority of patients relapse within a year of starting treatment. Studies of tumours at relapse have demonstrated expression of a T790M mutation in exon 20 of the EGFR TK domain in approximately 50% of cases. Although conferring resistance to reversible TKIs, these patients may remain sensitive to new-generation irreversible/panerb inhibitors. A number of techniques have been employed for genotypic assessment of tumourassociated DNA to identify EGFR mutations, each of which has advantages and disadvantages. This review presents an overview of the current methodologies used to identify such molecular markers. Recent developments in technology may make the monitoring of changes in patients' tumour genotypes easier in clinical practice, which may enable patients' treatment regimens to be tailored during the course of their disease, potentially leading to improved patient outcomes.

Digital storytelling as a social work tool : learning from ethnographic research with women from refugee backgrounds

This paper reflects on the wider potential of digital narratives as a useful tool for social work practitioners. Despite the multiple points of connection between narrative approaches and social work, the influence of narratives on practice remains limited. A case study of a digital storytelling (DST) process employed in a research project with a small group of lone mothers from refugee backgrounds is used to trigger discussion of broader applications of DST as part of everyday social work practice. The use of DST acknowledged women’s capacities for self-representation and agency, in line with participatory and strengths-based approaches inherent in contemporary social work. The benefits of using DST with lone mothers from refugee backgrounds illustrate how this method can act as a pathway to produce counter-narratives, both at the individual and broader community levels. Documenting life stories digitally provides the opportunity to construct narratives about experiences of relocation and settlement as tools for social advocacy, which can assist social workers to ensure meaningful outcomes for service-users. These propositions can serve to inform social work practices with people from refugee backgrounds and address some of the intricacies of working in diverse and challenging contexts.

Dynamic load-sharing of longitudinal-connected air suspensions of a tri-axle semi-trailer

The effects of suspension parameters and driving conditions on dynamic load-sharing of longitudinal-connected air suspensions of a tri-axle semi-trailer are investigated in this study. A novel nonlinear model of a multi-axle semi-trailer with longitudinal-connected air suspensions is formulated based on fluid mechanics and thermodynamics and validated through test results. The effects of road surface conditions, driving speeds, air line inside diameter and connector inside diameter on dynamic load-sharing capability of the semi-trailer were analyzed in terms of load-sharing criteria. Simulation results indicate that, when larger air lines and connectors are employed, the DLSC (Dynamic Load-Sharing Coefficient) optimization ratio reaches its peak value when the road roughness is medium. The optimization ratio fluctuates in a complex manner as driving speed increases. The results also indicate that if the air line inside diameter is always assumed to be larger than the connector inside diameter, the influence of air line inside diameter on load-sharing is more significant than that of the connector inside diameter. The proposed approach can be used for further study of the influence of additional factors (such as vehicle load, static absolute air pressure and static height of air spring) on load-sharing and the control methods for multi-axle air suspensions with longitudinal air line.

Rebuilding in Ranongga : reflecting on practice based research

Two hundred million people are displaced annually due to natural disasters with a further one billion living in inadequate conditions in urban areas. Architects have a responsibility to respond to this statistic as the effects of natural and social disasters become more visibly catastrophic when paired with population rise. The research discussed in this paper initially questions and considers how digital tools can be employed to enhance rebuilding processes, but still achieve sensitive, culturally appropriate and accepted built solutions. Secondly the paper reflects on the impact ‘real-world’ projects have on architectural education. Research aspirations encouraged an atypical ‘research by design’ methodology involving a focused case study in the recently devastated village Keigold, Ranongga, Solomon Islands. Through this qualitative approach specific place data and the accounts of those affected were documented through naturalistic and archival methods of observation and participation. Findings reveal a number of unanticipated results which would have been otherwise undetected if field research within the design and rebuilding process was not undertaken, reflecting the importance of place specific research in the design process. Ultimately, the study proves that it is critical for issues of disaster to be addressed on a local rather than global scale; decisions cannot be speculative, or solved at a distance, but require intensive collaborative work with communities to achieve optimum solutions. Architectural education and design studios would continue to benefit from focused community engagement and field research within the design process.

The valuation of long life mines : current issues and methodologies

The past decade has seen an increasing focus on the mining and extractive industries in Australia. The significant increases in both new mines, commodity prices and employment opportunities has lead to considerable discussion on the value of this industry and the contribution that the industry makes to exports, GDP and the public in general. This debate has resulted in the introduction of the Mineral Resources Rent Tax being introduced in 2012. An issue that follows from the introduction of these taxes is the current exposure of property valuers to mine and extractive industry valuations and the most appropriate method that should be employed for valuing long life mines for rating and taxing purposes, finance and accounting purposes. This paper will provide a detailed review of past and current valuation methods for long life mines and will highlight the current issues and problem facing valuers who are currently working in or intend to carry out valuation work in this industry.

Sub-cellular localization of membrane proteins

In eukaryotes, numerous complex sub-cellular structures exist. The majority of these are delineated by membranes. Many proteins are trafficked to these in order to be able to carry out their correct physiological function. Assigning the sub-cellular location of a protein is of paramount importance to biologists in the elucidation of its role and in the refinement of knowledge of cellular processes by tracing certain activities to specific organelles. Membrane proteins are a key set of proteins as these form part of the boundary of the organelles and represent many important functions such as transporters, receptors, and trafficking. They are, however, some of the most challenging proteins to work with due to poor solubility, a wide concentration range within the cell and inaccessibility to many of the tools employed in proteomics studies. This review focuses on membrane proteins with particular emphasis on sub-cellular localization in terms of methodologies that can be used to determine the accurate location of membrane proteins to organelles. We also discuss what is known about the membrane protein cohorts of major organelles.

Creative Work Beyond the Creative Industries : Innovation, Employment and Education

Creative workers are employed in sectors outside the Creative Industries often in greater numbers than within. This is the first book to explore the phenomena of the embedded creative and creative services through a range of sectors, disciplines, and perspectives. Despite the emergence of these creative workers, very little is known about their work life, and why companies seek to employ them. This book asks: how does creative work actually ‘embed’ into a service or product supply chain? What are creative services? What work are embedded creatives doing? Which industries are they working in? This collection explores these questions in relation to innovation, employment and education, using various methods and theoretical approaches, in order to examine the value of the embedded creative and creative services and to discover the implications of education and training for these creative workers. This book will be of interest to practitioners, policy makers and industry leaders in the Creative Industries, in particular digital media, application development, design, journalism, media and communication. It will also appeal to academics and scholars of innovation, Cultural Studies, business management and Labour Studies.

Porohyperelastic analysis of single chondrocyte using AFM and inverse FEA

The aim of this paper is to determine the creep and relaxation responses of single chondrocytes in vitro. Firstly, Atomic Force Microscopy (AFM) was used to obtain the force-indentation curves of single chondrocytes at the strain-rate of 7.05 s-1. This result was then employed in inverse finite element analysis (FEA) using porohyperelastic (PHE) idealization of the cells to determine their mechanical properties. The PHE model results agreed well with AFM experimental data. This PHE model was then utilized to study chondrocyte’s creep and relaxation behaviors. The results revealed that the effect of fluid was predominant for cell’s mechanical behaviors and that the PHE is a good model for biomechanics studies of chondrocytes.

The impact of spatial scales and spatial smoothing on the outcome of Bayesian spatial model

Discretization of a geographical region is quite common in spatial analysis. There have been few studies into the impact of different geographical scales on the outcome of spatial models for different spatial patterns. This study aims to investigate the impact of spatial scales and spatial smoothing on the outcomes of modelling spatial point-based data. Given a spatial point-based dataset (such as occurrence of a disease), we study the geographical variation of residual disease risk using regular grid cells. The individual disease risk is modelled using a logistic model with the inclusion of spatially unstructured and/or spatially structured random effects. Three spatial smoothness priors for the spatially structured component are employed in modelling, namely an intrinsic Gaussian Markov random field, a second-order random walk on a lattice, and a Gaussian field with Matern correlation function. We investigate how changes in grid cell size affect model outcomes under different spatial structures and different smoothness priors for the spatial component. A realistic example (the Humberside data) is analyzed and a simulation study is described. Bayesian computation is carried out using an integrated nested Laplace approximation. The results suggest that the performance and predictive capacity of the spatial models improve as the grid cell size decreases for certain spatial structures. It also appears that different spatial smoothness priors should be applied for different patterns of point data.

Learning in 140 characters : microblogging for professional learning

This thesis investigated how microblogging, a form of online social networking, was being employed by educators to support their professional learning. The study found that educators who participate in microblogging engage in a wide range of behaviours, with certain behaviours and activities commonly exhibited. An advantage of microblogging as a professional learning tool is its ability to link educators globally to exchange ideas from different perspectives and to share resources and teaching practices. Educators who microblog have access to relevant and timely learning that is not constrained by time or distance and can be tailored to meet their individual needs.

The Sessional Academic Success (SAS) project

The Sessional Academic Success (SAS) project is a sustainable, distributed model for supporting sessional staff at QUT. Developed by the Learning and Teaching Unit. SAS complements our Sessional Academic Program (SAP): a sequence of formal academic development workshops explained in complementary nomination. SAS recognises that while these programs are very well received and a crucial aspect of preparing and advancing sessional teachers, they are necessarily encapsulated in the moment of their delivery and are generic, as they address all faculties (with their varied cultures, processes and pedagogies). The SAS project extends this formal, centrally offered activity into local, ‘just in time’, ongoing support within schools. It takes a distributed leadership approach. Experienced sessional academics are recruited and employed as Sessional Academic Success Advisors (SASAs). They provide sessional staff in their schools with contextually specific, needs based, peer-to-peer development opportunities; one-on-one advice on classroom management and strategies for success; and help to trouble-shoot challenges. The SASAs are trained by the Learning and Teaching Unit co-ordinator, and ongoing support is provided centrally and by school-based co-ordinators. This team approach situates the SASAs at the centre of an organisation map (see diagram of support relationships below). The SAS project aims to support sessional staff in their professional development by: • Offering contextual, needs-based support at school level by harnessing local expertise; • Providing further development opportunities that are local and focal; SAS aims to retain Sessional Staff by: • Responding to self-nominated requests for support and ‘just in time’, safe and reliable advice in times of need; • Building sessional staff confidence through help with dealing with challenges from a trusted peer; • Building a supportive academic community for sessional staff, which helps them feel a part of faculty life, and a community of teaching practice. SAS aims to support sessional staff in the development of academic teaching careers by: • Recognising the capacity of experienced sessional staff to support their peers in ways that are unique, valuable and valued and providing the agency to do so; • Providing career advancement and leadership opportunities for sessional staff. SAS takes unique approaches within each school using strategies such as: • Welcomes and schools orientation by SASAs; • Regular check ins; face-to-face advice and online support; • Compiling local resources to complement university wide resources. • Sessional-to-sessional ‘just in time’ training (eg. assessment and marking when marking commences); • Peer feedback and mentoring (the opportunities to sit in more experiences sessionals’ classes; • Sessional staff awards (nominated by students); • Communities of practice to discuss topics and issues with a view to (and support for) publishing on learning and teaching. In these ways, SASAs complement support offered by unit coordinators, administrators, and the Learning and Teaching Unit. Pairing senior and ‘understudy’ advisors ensures a line of succession, sustainability and continuity. A pilot program commenced in 2012 involving three schools (Psychology and Social Work; Electrical Engineering and Computer Science; Media, Entertainment and Creative Arts). It will be expanded across schools in 2013.

Development of empirical equations for irradiance profile of a standard parabolic trough collector using Monte Carlo ray tracing technique

Irradiance profile around the receiver tube (RT) of a parabolic trough collector (PTC) is a key effect of optical performance that affects the overall energy performance of the collector. Thermal performance evaluation of the RT relies on the appropriate determination of the irradiance profile. This article explains a technique in which empirical equations were developed to calculate the local irradiance as a function of angular location of the RT of a standard PTC using a vigorously verified Monte Carlo ray tracing model. A large range of test conditions including daily normal insolation, spectral selective coatings and glass envelop conditions were selected from the published data by Dudley et al. [1] for the job. The R2 values of the equations are excellent that vary in between 0.9857 and 0.9999. Therefore, these equations can be used confidently to produce realistic non-uniform boundary heat flux profile around the RT at normal incidence for conjugate heat transfer analyses of the collector. Required values in the equations are daily normal insolation, and the spectral selective properties of the collector components. Since the equations are polynomial functions, data processing software can be employed to calculate the flux profile very easily and quickly. The ultimate goal of this research is to make the concentrating solar power technology cost competitive with conventional energy technology facilitating its ongoing research.

Portfolio selection using artificial intelligence

The application of artificial intelligence in finance is relatively new area of research. This project employed artificial neural networks (ANNs) that use both fundamental and technical inputs to predict future prices of widely held Australian stocks and use these predicted prices for stock portfolio selection over a long investment horizon. The research involved the creation and testing of a large number of possible network configurations and draws conclusions about ANN architectures and their overall suitability for the purpose of stock portfolio selection.