Australasian nutrition research for prevention and management of child obesity: innovation and progress in the last decade.

The Food and Nutrition stream of Australasian Child and Adolescent Obesity Research Network (ACAORN) aims to improve the quality of dietary methodologies and the reporting of dietary intake within Australasian child obesity research (http://www.acaorn.org.au/streams/nutrition/).

Single step preparation of meso-porous and reduced graphene oxide by gamma-ray irradiation in gaseous phase

A facile and highly efficient route to produce simultaneously porous and reduced graphene oxide by gamma ray irradiation in hydrogen is here demonstrated. Narrowly distributed nano-scale pores (average size of ∼3 nm and surface density >44,900 pore μm-2) were generated across 10 μm thick graphene oxide bucky-papers at a total irradiation dose of 500 kGy. The graphene oxide sheet reduction was confirmed to occur homogeneously across the structures by Fourier transform infrared spectroscopy and Raman analysis. This one-step, catalyst-free, high penetration and through-put technique, offers great promises potential for the mass production of reduced graphene oxide from cheap graphene oxide. © 2013 Elsevier Ltd. All rights reserved.

The measurement of trust in inter-organisational networks: a conceptual framework and research design

The aim of this paper is to outline a conceptual model and research design for measuring trust in inter-organisational networks which has the potential to be a ‘blueprint’ for a large-scale, multilevel study of trust in networks. Inter-organisational networks are increasingly recognised as a means to achieve economic and social exchange yet, how these networks operate is less widely understood. Trust is widely identified as being essential to the functioning of networks forms of organisation. In order to analyse trust in networks the Social Relations Model (Kenny 1994) of interpersonal perception is applied here. Insights from this model are used to specify relevant components of trust; and extended by incorporating measures of trust at the level of the work group.

Surveillance, Security and Sporting Mega Events: Toward a Research Agenda on the Organisation of Security Networks

Surveillance and security at sports mega events have been the subject of considerable scholarly attention. Events such as the Olympic Games and Fédération Internationale de Football Association (FIFA) World Cups have become occasions of almost unparalleled economic, political and social significance. In the lead up to the London 2012 Olympic Games, scholars have examined issues such as the ‘security legacies’ of sports mega events, the infrastructures and technologies used in an attempt to secure these events, and the planning mentalities underpinning the staggering ‘security spectacle’ of these globally televised events. This paper deals with the subject of how surveillance and security practices at sports mega events are organised. It uses the emerging paradigm of ‘security networks’ to call attention to some important issues involving the entire ‘security assemblage’ that accompanies these mega events. The paper presents five levels of analysis—structural, cultural, policy, technological and relational—to examine these practices and documents several key areas for further research on sports mega events.

Conservation and development interventions as networks: The case of the India ecodevelopment project, Karnataka

Experience with community-based biodiversity conservation programs in the 1980s and 1990s contributed to the conviction among donor agencies and researchers that such programs must be based on the active support of local resource users, appropriate incentives, and institutional support. Yet the continuing struggles of practitioners to implement conservation interventions that are socially and ecologically sustainable point to difficulty in realizing these principles on the ground. Actor-oriented research in rural development and actor network theory emphasize that the capacity of facilitators to engage effectively in negotiation processes and establish strong networks with key actors is critical in mediating intervention outcomes. Drawing on the case of the India Ecodevelopment Project at Rajiv Gandhi (Nagarahole) National Park in Karnataka, India, this paper explores the role of relationships and networks between actors in a conservation and development intervention, finding that practitioners need to focus on negotiation and network building as a central rather than subsidiary part of the intervention process. Associated with this is the need for change in the way donor and implementing agencies conduct themselves, to promote communication and greater flexibility in intervention processes.

History and attributes of selected Australian multi-tenure reserve networks

The need for conservation planning across the landscape, regardless of tenure, is widely recognised. In Australia, attempts to coordinate the management of conservation lands are characterised by models such as Biosphere Reserves and Conservation Management Networks. This paper outlines the history behind the formation and development of three networks in Australia—the Bookmark Biosphere Reserve, the Gippsland Plains Conservation Management Network, and the Grassy Box Woodlands Conservation Management Network—with particular emphasis on the tenure and protection attributes of the various components within these networks. Despite having a similar number of components, the total area represented in the networks varied markedly. There were few similarities in the proportion of components of various tenures and protection mechanisms among networks. Composition of networks is likely to be strongly influenced by both historical factors (degree of subdivision, land ownership and remaining vegetation) and contemporary factors (aims of the network and willingness of landowners to participate). Continued research into both the evolution and the physical and social dynamics of multi-tenure reserve networks enables a better understanding of their operation, and will ultimately assist in improved conservation planning across the landscape.

Student and supervisor perspectives in a computer-mediated research relationship

A brief narrative description of the journal article, document, or resource. This paper presents the reflective perspectives of the student and supervisor in a successful computer-mediated research relationship at Deakin University (Australia). Key contributing factors are discussed in a dialog format covering the role of computer-mediated communication (CMC), the projection of social presence, student self-efficacy beliefs, the role of information and communication technology (ICT), and interaction in online professional networks. Drawing on relevant theory, inherent challenges are addressed, informing some concluding suggestions as to how supervision might become more responsive to the emergent forms of research learning being experienced by escalating numbers of postgraduate students studying at a distance via ICT.

An empirical study of encoding schemes and search strategies in discovering causal networks

Efficiently inducing precise causal models accurately reflecting given data sets is the ultimate goal of causal discovery. The algorithm proposed by Wallace et al. [10] has demonstrated its ability in discovering Linear Causal Models from data. To explore the ways to improve efficiency, this research examines three different encoding schemes and four searching strategies. The experimental results reveal that (1) specifying parents encoding method is the best among three encoding methods we examined; (2) In the discovery of linear causal models, local Hill climbing works very well compared to other more sophisticated methods, like Markov Chain Monte Carto (MCMC), Genetic Algorithm (GA) and Parallel MCMC searching.

Research on seismic signals for vehicle targets and recognition by data fusion

This paper researches seismic signals of typical vehicle targets in order to extract features and to recognize vehicle targets. As a data fusion method, the technique of artificial neural networks combined with genetic algorithm(ANNCGA) is applied for recognition of seismic signals that belong to different kinds of vehicle targets. The technique of ANNCGA and its architecture have been presented. The algorithm had been used for classification and recognition of seismic signals of vehicle targets in the outdoor environment. Through experiments, it can be proven that seismic properties of target acquired are correct, ANNCGA data fusion method is effective to solve the problem of target recognition.

Mobility prediction for seamless mobility in wireless networks

One of the requirements for seamless mobility is efficient resource reservation and context transfer procedures during handoff. If context transfer and resource reservation can occur prior to handoff continuation of the same level of service as at the previous connection point is possible. Resource reservation is required to be non-aggressive for optimal use of limited bandwidth and a low call-blocking probability. In this work we present a method of mobility prediction that can aid in achieving seamless mobility. In order to optimise the efficiency of a resource reservation algorithm we believe accurate prediction of the future movements of the user is required.