Building genetic networks using relatedness information : a novel approach for the estimation of dispersal and characterization of group structure in social animals

Natal dispersal is an important life history trait driving variation in individual fitness, and therefore, a proper understanding of the factors underlying dispersal behaviour is critical to many fields including population dynamics, behavioural ecology and conservation biology. However, individual dispersal patterns remain difficult to quantify despite many years of research using direct and indirect methods. Here, we quantify dispersal in a single intensively studied population of the cooperatively breeding chestnut-crowned babbler (Pomatostomus ruficeps) using genetic networks created from the combination of pairwise relatedness data and social networking methods and compare this to dispersal estimates from re-sighting data. This novel approach not only identifies movements between social groups within our study sites but also provides an estimation of immigration rates of individuals originating outside the study site. Both genetic and re-sighting data indicated that dispersal was strongly female biased, but the magnitude of dispersal estimates was much greater using genetic data. This suggests that many previous studies relying on mark–recapture data may have significantly underestimated dispersal. An analysis of spatial genetic structure within the sampled population also supports the idea that females are more dispersive, with females having no structure beyond the bounds of their own social group, while male genetic structure expands for 750 m from their social group. Although the genetic network approach we have used is an excellent tool for visualizing the social and genetic microstructure of social animals and identifying dispersers, our results also indicate the importance of applying them in parallel with behavioural and life history data.

Predicted packet padding for anonymous web browsing against traffic analysis attacks

Anonymous communication has become a hot research topic in order to meet the increasing demand for web privacy protection. However, there are few such systems which can provide high level anonymity for web browsing. The reason is the current dominant dummy packet padding method for anonymization against traffic analysis attacks. This method inherits huge delay and bandwidth waste, which inhibits its use for web browsing. In this paper, we propose a predicted packet padding strategy to replace the dummy packet padding method for anonymous web browsing systems. The proposed strategy mitigates delay and bandwidth waste significantly on average. We formulated the traffic analysis attack and defense problem, and defined a metric, cost coefficient of anonymization (CCA), to measure the performance of anonymization. We thoroughly analyzed the problem with the characteristics of web browsing and concluded that the proposed strategy is better than the current dummy packet padding strategy in theory. We have conducted extensive experiments on two real world data sets, and the results confirmed the advantage of the proposed method.

Improving biodiversity monitoring

Effective biodiversity monitoring is critical to evaluate, learn from, and ultimately improve conservation practice. Well conceived, designed and implemented monitoring of biodiversity should: (i) deliver information on trends in key aspects of biodiversity (e.g. population changes); (ii) provide early warning of problems that might otherwise be difficult or expensive to reverse; (iii) generate quantifiable evidence of conservation successes (e.g. species recovery following management) and conservation failures; (iv) highlight ways to make management more effective; and (v) provide information on return on conservation investment. The importance of effective biodiversity monitoring is widely recognized (e.g. Australian Biodiversity Strategy). Yet, while everyone thinks biodiversity monitoring is a good idea, this has not translated into a culture of sound biodiversity monitoring, or widespread use of monitoring data. We identify four barriers to more effective biodiversity monitoring in Australia. These are: (i) many conservation programmes have poorly articulated or vague objectives against which it is difficult to measure progress contributing to design and implementation problems; (ii) the case for long-term and sustained biodiversity monitoring is often poorly developed and/or articulated; (iii) there is often a lack of appropriate institutional support, co-ordination, and targeted funding for biodiversity monitoring; and (iv) there is often a lack of appropriate standards to guide monitoring activities and make data available from these programmes. To deal with these issues, we suggest that policy makers, resource managers and scientists better and more explicitly articulate the objectives of biodiversity monitoring and better demonstrate the case for greater investments in biodiversitymonitoring. There is an urgent need for improved institutional support for biodiversity monitoring in Australia, for improved monitoring standards, and for improved archiving of, and access to, monitoring data. We suggest that more strategic financial, institutional and intellectual investments in monitoring will lead to more efficient use of the resources available for biodiversity conservation and ultimately better conservation outcomes.

Defining Bonferroni means over lattices

In the face of mass amounts of information and the need for transparent and fair decision processes, aggregation functions are essential for summarizing data and providing overall evaluations. Although families such as weighted means and medians have been well studied, there are still applications for which no existing aggregation functions can capture the decision makers' preferences. Furthermore, extensions of aggregation functions to lattices are often needed to model operations on L-fuzzy sets, interval-valued and intuitionistic fuzzy sets. In such cases, the aggregation properties need to be considered in light of the lattice structure, as otherwise counterintuitive or unreliable behavior may result. The Bonferroni mean has recently received attention in the fuzzy sets and decision making community as it is able to model useful notions such as mandatory requirements. Here, we consider its associated penalty function to extend the generalized Bonferroni mean to lattices. We show that different notions of dissimilarity on lattices can lead to alternative expressions.

Sisters of the sun

A film about flows of time and language on the Volcanic Plains of Western Victoria. Directed by Simon Wilmot. Produced by Patrick West & Simon Wilmot. Script by Patrick West.

The past has its place in the future. Wombeetch Puyuun is teaching Scottish-born settler Isabella Dawson his aboriginal tongue so that her father, James Dawson, can write his book. But how can language preserve the past in a land where time overwhelms words? Meanwhile, contemporary Australians from the Volcanic Plains of Victoria’s Western District meditate over life in a place of sheep, algae, eels, lava and stars. Susan Cole and Janice Austin, descendents of Isabella and Wombeetch’s people united for the first time, reflect on Wombeetch’s friendship with James, and what it means to be ‘the last of your tribe.’

The event 'Flows and Catchments' was held at the Warrnambool Art Gallery on 2/12/2012.

Sisters of the Sun has also screened at Lake Bolac Eel Festival (March 2014) and Warnambool Art Gallery (Feb 2013)

Using linear programming for weights identification of generalized bonferroni means in R

The generalized Bonferroni mean is able to capture some interaction effects between variables and model mandatory requirements. We present a number of weights identification algorithms we have developed in the R programming language in order to model data using the generalized Bonferroni mean subject to various preferences. We then compare its accuracy when fitting to the journal ranks dataset.

Comparison of optimised MDI versus pumps with or without sensors in severe hypoglycaemia (the Hypo COMPaSS trial)

Background
Severe hypoglycaemia (SH) is one of the most feared complications of type 1 diabetes (T1DM) with a reported prevalence of nearly 40%. In randomized trials of Multiple Daily Injections (MDI) and Continuous Subcutaneous Insulin Infusion (CSII) therapy there is a possible benefit of CSII in reducing SH. However few trials have used basal insulin analogues as the basal insulin in the MDI group and individuals with established SH have often been excluded from prospective studies. In published studies investigating the effect of Real Time Continuous Glucose Monitoring (RT-CGM) benefit in terms of reduced SH has not yet been demonstrated. The primary objective of this study is to elucidate whether in people with T1DM complicated by impaired awareness of hypoglycaemia (IAH), rigorous prevention of biochemical hypoglycaemia using optimized existing self-management technology and educational support will restore awareness and reduce risk of recurrent SH.

Methods/design
This is a multicentre prospective RCT comparing hypoglycaemia avoidance with optimized MDI and CSII with or without RT-CGM in a 2×2 factorial design in people with type 1 diabetes who have IAH. The primary outcome measure for this study is the difference in IAH (Gold score) at 24 weeks. Secondary outcomes include biomedical measures such as HbA1c, SH incidence, blinded CGM analysis, self monitored blood glucose (SMBG) and response to hypoglycaemia in gold standard clamp studies. Psychosocial measures including well-being and quality of life will also be assessed using several validated and novel measures. Analysis will be on an intention-to-treat basis.

Discussion
Most existing RCTs using this study’s interventions have been powered for change in HbA1c rather than IAH or SH. This trial will demonstrate whether IAH can be reversed and SH prevented in people with T1DM in even those at highest risk by using optimized conventional management and existing technology.

Dreamweavers

Dreamweavers is a touring show Curated by Simon Gregg at the Gippsland Regional Gallery, touring Nationally from 2011 until April 2013.

The exhibition explores the contemporary preoccupation for the Fantastic through a range of national and international art practices, that are united by an enduring fascination with darkness and dark places. Dreamweavers is a multi-sensory experience that is more like entering another world than an art exhibition. It combines sculpture, digital media, photography and painting, in an intoxicating visual feast.

Dreamweavers features the work of six artists. James Gleeson (1915-2008) was Australia’s pre-eminent Surrealist, and one of the country’s most acclaimed twentieth century artists. In his work massive, heaving and largely unidentifiable forms meld with apocalyptic skies and earth in twisted biomorphic shapes.

National identity in fragile states: insights from tertiary students in Melanesia and Timor-Leste

The challenges of nation building in Melanesia and Timor-Leste have often been neglected in the regional focus on state-building challenges. High levels of ethno-linguistic diversity, combined with an array of regional, historical and cultural divisions, continue to present obstacles to the creation of a cohesive sense of national political community leading these nations to be labelled ‘fragile’. This paper presents the findings of a comparative study on the attitudes of tertiary students in Melanesia and Timor-Leste to national identity and nation building. A strong pan-Melanesian pattern of group identification was identified, common to Papua New Guinea, Solomon Islands and Vanuatu. The ongoing importance of traditional authority and custom in informing conceptions of political community and identity was evident in all four case study sites, but was in each case matched by indicators of respect for modern state authority. The survey also reveals some significant gender differences in key attitudes towards national identity, including the role of traditional authorities. Most importantly, the study reveals high degrees of national pride, and faith in democratic principles and citizenship; but conversely, low levels of pride in contemporary democratic performance and inter-group tolerance.