Physical and linkage maps for Drosophila serrata, a model species for studies of clinal adaptation and sexual selection

Drosophila serrata is a member of the montium group, which contains more than 98 species and until recently was considered a subgroup within the melanogaster group. This Drosophila species is an emerging model system for evolutionary quantitative genetics and has been used in studies of species borders, clinal variation and sexual selection. Despite the importance of D. serrata as a model for evolutionary research, our poor understanding of its genome remains a significant limitation. Here, we provide a first-generation gene-based linkage map and a physical map for this species. Consistent with previous studies of other drosophilids we observed strong conservation of genes within chromosome arms homologous with D. melanogaster but major differences in within-arm synteny. These resources will be a useful complement to ongoing genome sequencing efforts and QTL mapping studies in this species

Pearl of a town may entrap you

A 1,000-word travel article about Broome in Western Australia. "BY THE end of a weekend in Broome, you are quite sure that this town is a fiction, an imagining. I am in a provincial comedy. On my way from the airport, I will be kidnapped, driven to the newspaper offices and told to write the local shipping news, or the pearler news, or the gas works news - the news of whichever resources boom is next..."--publisher website

Vaccine farming in Cape Town

The review details the development of the Subunit Vaccine Group at the University of Cape Town, from its beginnings as a plant virology laboratory in the 1980s. The investigation and development of Human papillomavirus (HPV) and Human immunodeficiency vaccine candidates are covered in detail, with an emphasis on how this work allowed the evolution of a systematic approach to the optimisation of expression of these and other proteins especially in plants, but also in insect cell culture. We discuss various insights gained during our work, such as approaches to codon optimisation, use of different vector systems and plant hosts, intracellular targetting and gene modification. The future prospects for both our work and for the field of plant-made vaccines in general, are discussed. © 2011 Landes Bioscience.

Uninav : a context-aware mobile application for university campus maps

The smart phones we carry with us are becoming ubiquitous with everyday life and the sensing capabilities of these devices allow us to provide context-aware services. In this paper, we discuss the development of UniNav, a context-aware mobile application that delivers personalised campus maps for universities. The application utilises university students’ details to provide information and services that are relevant and important to them. It helps students to navigate within the campus and become familiar with their university environment quickly. A study was undertaken to evaluate the acceptability and usefulness of the campus map, as well as the impact on a users’ navigation efficiency by utilising the personal and environmental contexts. The result indicates the integration of personal and environmental contexts on digital maps can improve its usefulness and navigation efficiency.

Context-aware device self-configuration using self-organizing maps

Modern mobile computing devices are versatile, but bring the burden of constant settings adjustment according to the current conditions of the environment. While until today, this task has to be accomplished by the human user, the variety of sensors usually deployed in such a handset provides enough data for autonomous self-configuration by a learning, adaptive system. However, this data is not fully available at certain points in time, or can contain false values. Handling potentially incomplete sensor data to detect context changes without a semantic layer represents a scientific challenge which we address with our approach. A novel machine learning technique is presented - the Missing-Values-SOM - which solves this problem by predicting setting adjustments based on context information. Our method is centered around a self-organizing map, extending it to provide a means of handling missing values. We demonstrate the performance of our approach on mobile context snapshots, as well as on classical machine learning datasets.

Use of concept maps in reforming teaching Family and Consumer Sciences in Kuwait

This paper addresses the professional development of Kuwaiti teachers in the use of concept maps to teach Family and Consumer Science. A key aim of the study was to evaluate the degree to which the use of concept maps would influence the way Kuwaiti teachers approach and teach Family and Consumer Studies (FCS) subjects and the degree to which concept maps empower students to critically identify and express their knowledge of the subject being taught. A case study methodology was adopted to follow the implementation of lessons using concept maps by four teachers of middle years. An analysis of the data revealed the positive impact that student-centred teaching tools can have on the reformation of traditional teaching environments. For all teachers, the primary strengths of using concept maps were the ability to generate student interest, to motivate student participation and to enhance student understanding of content. Although a case study design may limit the generalisation and comparative value of the study, the findings of this study remain important to the planning of future professional development programs and the use of concept maps within Kuwait’s FCS curriculum area.

Testing the accuracy of luminance maps acquired by smart phone cameras

This paper looks at the accuracy of using the built-in camera of smart phones and free software as an economical way to quantify and analyse light exposure by producing luminance maps from High Dynamic Range (HDR) images. HDR images were captured with an Apple iPhone 4S to capture a wide variation of luminance within an indoor and outdoor scene. The HDR images were then processed using Photosphere software (Ward, 2010.) to produce luminance maps, where individual pixel values were compared with calibrated luminance meter readings. This comparison has shown an average luminance error of ~8% between the HDR image pixel values and luminance meter readings, when the range of luminances in the image is limited to approximately 1,500cd/m2.

Normanton2020

Normanton2020 This exhibition showcases the work of 3rd -4th year undergraduate landscape architecture, architecture, Interior Design, Environmental Engineering, Civil Engineering students in response to issues of sustainability in the Gulf of Carpentaria town of Normanton. 16 students and four staff set off on a 2488km journey to undertake the second half of the Carpentaria Project (following Linking Karumba: Creating Sustainable Connections 2008), in the other Carpentaria Shire town of Normanton. This project, Get EnGulfed: Normanton 2020, looked back and forwards to propose strategies strengthening local and regional identities. Our project partners recognised the need for a strategic approach to developing future visions for Normanton’s growth as a socially, culturally, economically and ecologically sustainable town in the decade to 2020. They proposed: Project aims to foster: • Enhanced liveability; • A strengthened expression of town identity; • Expanded sustainable tourism. Primary challenges & opportunities: • Remoteness; • Two seasons: wet & dry; • Local economy; • Society and Cultural Heritage. The Exhibition Four groups of four students produced four strategic planning and design options toward this future: Mud Maps of Normanton: Rhys Belnap, AJ Humphries, Amos Shirreff, Haiku Van Keuk Normanton: Stay Another Day: Belle Dalton, Tom Jordan, Josh Nielsen, Carla Ramsland The Sweet Spot on the Savannah Way: Daniel Lapham, Yvonne Phillips, Patrick Poon, Dan Young Resilience Through Diversity: Jillian Kenny, Tania Metcher, Stephen Orr, Evan Thompson

Flexibility, Technology and Academics' Practices : Tantalising Tales and Muddy Maps

The project investigated the relationships between diversification in modes ofdelivery, use of information and communication technologies, academics’ teaching practices, and the context in which those practices are employed, in two of the three large universities in Brisbane—Griffith University and the Queensland University of Technology (QUT). The project’s initial plan involved the investigation of two sites: Queensland University of Technology’s Faculty of Education (Kelvin Grove campus) and Griffith University’s Faculty of Humanities(Nathan campus). Interviews associated with the Faculty of Education led to a decision to include a third site—the School of Law within Queensland University of Technology’s Faculty of Law, which is based on the Gardens Point Campus. Here the investigation focused on the use of computer-based flexible learning practices, as distinct from the more text-based practices identified within the original two sites.

Get EnGulfed: Normanton2020

Get EnGulfed: Normanton2020 This exhibition showcases the work of 3rd -4th year undergraduate landscape architecture, architecture, Interior Design, Environmental Engineering, Civil Engineering students in response to issues of sustainability in the Gulf of Carpentaria town of Normanton. It presented the work to QUT staff from across the university, as well as industry partners and invited guests. 16 students and four staff set off on a 2488km journey to undertake the second half of the Carpentaria Project (following Linking Karumba: Creating Sustainable Connections 2008), in the other Carpentaria Shire town of Normanton. This project, Get EnGulfed: Normanton 2020, looked back and forwards to propose strategies strengthening local and regional identities. Our project partners recognised the need for a strategic approach to developing future visions for Normanton’s growth as a socially, culturally, economically and ecologically sustainable town in the decade to 2020. They proposed: Project aims to foster: • Enhanced liveability; • A strengthened expression of town identity; • Expanded sustainable tourism. • Primary challenges & opportunities: • Remoteness; • Two seasons: wet & dry; • Local economy; • Society and Cultural Heritage. The Exhibition Four groups of four students produced four strategic planning and design options toward this future: Mud Maps of Normanton: Rhys Belnap, AJ Humphries, Amos Shirreff, Haiku Van Keuk Normanton: Stay Another Day: Belle Dalton, Tom Jordan, Josh Nielsen, Carla Ramsland The Sweet Spot on the Savannah Way: Daniel Lapham, Yvonne Phillips, Patrick Poon, Dan Young Resilience Through Diversity: Jillian Kenny, Tania Metcher, Stephen Orr, Evan Thompson

[Book Review] Urban Maps : Instruments of Narrative and Interpretation in the City by Richard Brook and Nick Dunn, Ashgate, Farham, United Kingdom, 2011, 250pp. ISBN 978-0-754676-5-77.

Urban maps discusses new ways and tools to read and navigate the contemporary city. Each chapter investigates a possible approach to unravel the complexity of contemporary urban forms. Each tool is first defined, introducing its philosophical background, and is then discussed with case studies, showing its relevance for the navigation of the built environment. Urbanism classics such as the work of Lynch, Jacobs, Venuti and Scott-Brown, Lefebrve and Walter Benjamin are fundamental in setting the framework of the volume. In the introduction cities and mapping are first discussed, the former are illustrated as ‘a composite of invisible networks devoid of landmarks and overrun by nodes’ (p. 3), and ‘a series of unbounded spaces where mass production and mass consumption reproduce a standardised quasi-global culture’ (p. 6).

Automatic object segmentation of unstructured scenes using colour and depth maps

This study presents a segmentation pipeline that fuses colour and depth information to automatically separate objects of interest in video sequences captured from a quadcopter. Many approaches assume that cameras are static with known position, a condition which cannot be preserved in most outdoor robotic applications. In this study, the authors compute depth information and camera positions from a monocular video sequence using structure from motion and use this information as an additional cue to colour for accurate segmentation. The authors model the problem similarly to standard segmentation routines as a Markov random field and perform the segmentation using graph cuts optimisation. Manual intervention is minimised and is only required to determine pixel seeds in the first frame which are then automatically reprojected into the remaining frames of the sequence. The authors also describe an automated method to adjust the relative weights for colour and depth according to their discriminative properties in each frame. Experimental results are presented for two video sequences captured using a quadcopter. The quality of the segmentation is compared to a ground truth and other state-of-the-art methods with consistently accurate results.

Career-path analysis using optimal matching and self-organizing maps

This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distances well adapted to the data, but are limiting their analysis to hierarchical clustering. Other authors apply sophisticated methods, but only after paying the price of transforming the categorical data into continuous, via a factorial analysis. The latter approach has an important drawback since it makes a linear assumption on the data. We propose a new methodology, inspired from biology and adapted to career paths, combining optimal matching and self-organizing maps. A complete study on real-life data will illustrate our proposal.

Vision-only autonomous navigation using topometric maps

This paper presents a mapping and navigation system for a mobile robot, which uses vision as its sole sensor modality. The system enables the robot to navigate autonomously, plan paths and avoid obstacles using a vision based topometric map of its environment. The map consists of a globally-consistent pose-graph with a local 3D point cloud attached to each of its nodes. These point clouds are used for direction independent loop closure and to dynamically generate 2D metric maps for locally optimal path planning. Using this locally semi-continuous metric space, the robot performs shortest path planning instead of following the nodes of the graph --- as is done with most other vision-only navigation approaches. The system exploits the local accuracy of visual odometry in creating local metric maps, and uses pose graph SLAM, visual appearance-based place recognition and point clouds registration to create the topometric map. The ability of the framework to sustain vision-only navigation is validated experimentally, and the system is provided as open-source software.

Surveillance Town: Social inclusion-exclusion through surveillance, ‘the dignity of work’ and income management

This paper discusses the situation of welfare claimants, constructed as faulty citizens and flawed welfare subjects at the receiving end of complex and multi-layered, private and public, forms of monitoring and surveillance aimed at securing socially responsible, consuming and compliant behaviours. In Australia as in many other western countries, the rise of neoliberal economic regimes with their harsh and often repressive treatment of welfare claimants operates in tandem with a growing arsenal of CCTV and assorted urban governance measures (Monahan 2008, Maki 2011). The capacity for all forms of surveillance to intensify social inequalities through the lens of CCTV and other modes and methods of electronic monitoring is amply demonstrated in the surveillance studies literature, raising fundamental questions around issues of social justice, equity and the expenditure of societal resources (Norris and Armstrong 1999, Lyon 1994, 2001, Loader 1996).