Always “tasty”, regardless: Art, chocolate and Indigenous Australians

This paper examines race and colour through the metaphor of chocolate. The authors use the metaphor of chocolate to question why some Aboriginal people are chosen ahead of others, with the choosing done by non-Indigenous people, perhaps on the basis of who is most likely to be “soft-centred”, agreeable, and pliable. The authors discuss the development of the Hot Chocolate art exhibition in Adelaide in 2012, with a particular focus on the works of Pamela CroftWarcon. The exhibition combined chocolate (the food), lyrics from Hot Chocolate (the band), and chocolate (the metaphor for skin colour) to encourage visitors to question their assumptions about representations of Aboriginal people in Australia.

The effects of the indoor environment of residential care homes on dementia suffers in Hong Kong : a critical incident technique approach

Dementia is an irreversible and incurable syndrome that leads to progressive impairment of cognitive functions and behavioural and psychological symptoms such as agitation, depression and psychosis. Appropriate environmental conditions can help delay its onset and progression, and indoor environmental (IE) factors have a major impact. However, there is no firm understanding of the full range of relevant IE factors and their impact levels. This paper describes a preliminary study to investigate the effects of IE on Hong Kong residential care homes (RCH) dementia residents. This involved six purposively selected focus groups, each comprising the main stakeholders of the dementia residents’ caregivers, RCH staff and/or registered nurses, and architects. Using the Critical Incident Technique, the main context and experiences of behavioural problems of dementia residents caused by IE were explored and the key causal RCH IE quality factors identified, together with the associated responses and stress levels involved. The findings indicate that the acoustic environment, lighting and thermal environment are the most important influencing factors. Many of the remedies provided by the focus groups are quite simple to carry out and are summarised in the form of recommendations to current RCHs providers and users. The knowledge acquired in this initial study will help enrich the knowledge of IE design for dementiaspecific residential facilities. It also provides some preliminary insights for healthcare policymakers and practitioners in the building design/facilities management and dementia-care sectors into the IE factors contributing to a more comfortable, healthy and sustainable RCH living environment in Hong Kong.

The use of acoustic indices to determine avian species richness in audio-recordings of the environment

Interpreting acoustic recordings of the natural environment is an increasingly important technique for ecologists wishing to monitor terrestrial ecosystems. Technological advances make it possible to accumulate many more recordings than can be listened to or interpreted, thereby necessitating automated assistance to identify elements in the soundscape. In this paper we examine the problem of estimating avian species richness by sampling from very long acoustic recordings. We work with data recorded under natural conditions and with all the attendant problems of undefined and unconstrained acoustic content (such as wind, rain, traffic, etc.) which can mask content of interest (in our case, bird calls). We describe 14 acoustic indices calculated at one minute resolution for the duration of a 24 hour recording. An acoustic index is a statistic that summarizes some aspect of the structure and distribution of acoustic energy and information in a recording. Some of the indices we calculate are standard (e.g. signal-to-noise ratio), some have been reported useful for the detection of bioacoustic activity (e.g. temporal and spectral entropies) and some are directed to avian sources (spectral persistence of whistles). We rank the one minute segments of a 24 hour recording in descending order according to an "acoustic richness" score which is derived from a single index or a weighted combination of two or more. We describe combinations of indices which lead to more efficient estimates of species richness than random sampling from the same recording, where efficiency is defined as total species identified for given listening effort. Using random sampling, we achieve a 53% increase in species recognized over traditional field surveys and an increase of 87% using combinations of indices to direct the sampling. We also demonstrate how combinations of the same indices can be used to detect long duration acoustic events (such as heavy rain and cicada chorus) and to construct long duration (24 h) spectrograms.

A clear view of costs ‘of and incidental to’ : Mio Art Pty Ltd v Macequest (No.2) Pty Ltd [2013] QSC 271

In Mio Art Pty Ltd v Macequest (No.2) Pty Ltd [2013] QSC 271 Jackson J provided considered analysis of several aspects of costs law. His Honour regarded various orders which are commonly sought or made as reflecting practice that is inappropriate or unnecessary under the Uniform Civil Procedure Rules 1999 (Qld) (UCPR).

Eight weeks of episodic visual navigation inside a non-stationary environment using adaptive spherical views

This paper presents a long-term experiment where a mobile robot uses adaptive spherical views to localize itself and navigate inside a non-stationary office environment. The office contains seven members of staff and experiences a continuous change in its appearance over time due to their daily activities. The experiment runs as an episodic navigation task in the office over a period of eight weeks. The spherical views are stored in the nodes of a pose graph and they are updated in response to the changes in the environment. The updating mechanism is inspired by the concepts of long- and short-term memories. The experimental evaluation is done using three performance metrics which evaluate the quality of both the adaptive spherical views and the navigation over time.

English in the urban environment : resources for 21st century readers

Where teachers of English as a foreign language (EFL) once observed a paucity of authentic language input, public displays of written English are now proliferating. Ideas for capitalising on this abundance can be drawn from two strands of pedagogic thought: a psycholinguistic approach to conventional literacy long established in foreign, second and first language education (e.g., Teng, 2009), and a more recent and critical approach informed by diverse theoretical understandings of the ‘linguistic landscape’ (e.g., Rowland, 2013). In this paper I draw from these two approaches to suggest ways of helping EFL learners use environmental print to develop knowledge and skills required of English readers in the twenty-first century: (1) fluency in breaking the codes of English and other languages of publicly displayed text; (2) facility with making meaning as the English of these texts becomes ever more diverse in cultural, historical and contextual implication; (3) use of environmental English in contexts that range from the local to the transnational; and (4) critique of the presence of English and attendant worldviews in the urban environment (Chern & Dooley, forthcoming). The psychological concept of motivation and the complementary sociological concept of investment are at the heart of my deliberations here: realisation of the pedagogic potential of environmental print to develop literate resources requires consideration of sources of motivation in the classroom learning situation (Dörnyei & Ushioda, 2011), as well as learner investment in literate practices in English (Norton, 2010).

Characterizing transport through a crowded environment with different obstacle sizes

Transport through crowded environments is often classified as anomalous, rather than classical, Fickian diffusion. Several studies have sought to describe such transport processes using either a continuous time random walk or fractional order differential equation. For both these models the transport is characterized by a parameter α, where α = 1 is associated with Fickian diffusion and α < 1 is associated with anomalous subdiffusion. Here, we simulate a single agent migrating through a crowded environment populated by impenetrable, immobile obstacles and estimate α from mean squared displacement data. We also simulate the transport of a population of such agents through a similar crowded environment and match averaged agent density profiles to the solution of a related fractional order differential equation to obtain an alternative estimate of α. We examine the relationship between our estimate of α and the properties of the obstacle field for both a single agent and a population of agents; we show that in both cases, α decreases as the obstacle density increases, and that the rate of decrease is greater for smaller obstacles. Our work suggests that it may be inappropriate to model transport through a crowded environment using widely reported approaches including power laws to describe the mean squared displacement and fractional order differential equations to represent the averaged agent density profiles.

Training-free probability models for whole-image based place recognition

Whole-image descriptors such as GIST have been used successfully for persistent place recognition when combined with temporal filtering or sequential filtering techniques. However, whole-image descriptor localization systems often apply a heuristic rather than a probabilistic approach to place recognition, requiring substantial environmental-specific tuning prior to deployment. In this paper we present a novel online solution that uses statistical approaches to calculate place recognition likelihoods for whole-image descriptors, without requiring either environmental tuning or pre-training. Using a real world benchmark dataset, we show that this method creates distributions appropriate to a specific environment in an online manner. Our method performs comparably to FAB-MAP in raw place recognition performance, and integrates into a state of the art probabilistic mapping system to provide superior performance to whole-image methods that are not based on true probability distributions. The method provides a principled means for combining the powerful change-invariant properties of whole-image descriptors with probabilistic back-end mapping systems without the need for prior training or system tuning.

It's just an old apron : aprons, artefacts and art - representations of personal and private 'her-stories', as public histories

This paper examines art and artefact in the representation and recollection of deeply personal WWII women’s experiences as POW’s under the Japanese. This kind of treatment of internees in the Tjideng Women and Children’s internment camp (and others) in Batavia under the Japanese in WWII, stands in stark and brutal contrast to the idyllic life lived by many families up to that time in what was then known as the Dutch East Indies (Indonesia). The deprivation and brutality of the Japanese incarceration of these women and children evoked responses - not military, but certainly militant, if muted. Representations of those responses – as both art and artefact - may be found in the most unlikely places and unexpected forms - and are still being unearthed to this day. However close we might personally be to these artists and artisans, can we, as observers from a distance, ever truly comprehend through spoken or written words alone, the day-today realities of those extraordinary times?

Organized crime and the environment

It has been recognized for some time that the liberalization of trade policies has had deleterious impacts on the world’s natural environment. The rapid expansion of globalized goods and services continues to create a human footprint with longlasting environmental consequences (White 2010). It is a footprint that represents rapid human activity and with it has come new commercial opportunities, not only for global businesses but also for organized criminal networks. Both the acceleration and by-products of global trade have created new markets as well as underground economies. As the opening quotation reveals, transnational environmental crime must become a policing priority as organized criminal...

Can water security be achieved in the urban environment through the implementation of the Neo Institutional theory government regulation and legislation?

The research seeks to address the current global water crisis and the built environments effect on the increasing demand for sustainability and water security. The fundamental question in determining the correct approach for water security in the built environment is whether government regulation and legislation could provide the framework for sustainable development and the conscious shift providing that change is the only perceivable option, there is no alternative. This article will attempt to analyse the value of the neo institutional theory as a method for directing individuals and companies to conform to water saving techniques. As is highlighted throughout the article, it will be investigated whether an incentive verse punishment approach to government legislations and regulations would provide the framework required to ensure water security within the built environment. Individuals and companies make certain choices or perform certain actions not because they fear punishment or attempt to conform; neither do they do so because an action is appropriate or feels some sort of social obligation. Instead, the cognitive element of neo institutionalism suggests that individuals make certain choices because they can conceive no alternative. The research seeks to identify whether sustainability and water security can become integrated into all aspects of design and architecture through the perception that 'there is no alternative.' This report seeks to address the omission of water security in the built environment by reporting on a series of investigations, interviews, literature reviews, exemplars and statistics relating to the built environment and the potential for increased water security. The results and analysis support the conclusions that through the support of government and local council, sustainability in the built environment could be achieved and become common practice for developments. Highlighted is the approach required for water management systems integration into the built environment and how these can be developed and maintained effectively between cities, states, countries and cultures.

The art of co-creative media : an Australian survey

This article describes how - in the processes of responding to participatory storytelling practices - community, public service, and to a lesser extent, commercial media institutions are themselves negotiated and changed. Although there are significant variations in the conditions, durability, extent, motivations and quality of these developments and their impacts, they nonetheless increase the possibilities and pathways of participatory media culture. This description first frames digital storytelling as a ‘co-creative’ media practice. It then discusses the role of community arts and cultural development (CACD) practitioners and networks as co-creative media intermediaries, and then considers their influence in Australian broadcast and Internet media. It looks at how participatory storytelling methods are evolving in the Australian context and explores some of the implications for cultural inclusion arising from a shared interest in ‘co-creative’ media methods and approaches.

The role of the non-government organisation (NGO) in practicing editorial photography in a globalised media environment

The news media industry has changed dramatically in the last 10 to 20 years into a global business with ever increasing attention being devoted to entertainment and celebrity. There is also a growing reliance on images produced by citizens (citizen photojournalism) by media outlets and publishers. It is widely acknowledged this has shrunk publication opportunities for professional photographers undertaking editorial projects. As a result, photographers are increasingly relying on non-government organisations (NGOs) to gain access to photographing issues and events in developing countries and to expand their economic and portfolio opportunities. This increase of photographers working for and alongside NGOs has given rise to a new genre of editorial photography I call NGO Reportage. By way of a case study, an exploration of this new genre reveals important issues for photographers working alongside NGO’s and examines the constructed narratives of images contained within these emerging practices.

Slicing big data - Twitter, gambling and time sensitive information

Big Data presents many challenges related to volume, whether one is interested in studying past datasets or, even more problematically, attempting to work with live streams of data. The most obvious challenge, in a ‘noisy’ environment such as contemporary social media, is to collect the pertinent information; be that information for a specific study, tweets which can inform emergency services or other responders to an ongoing crisis, or give an advantage to those involved in prediction markets. Often, such a process is iterative, with keywords and hashtags changing with the passage of time, and both collection and analytic methodologies need to be continually adapted to respond to this changing information. While many of the data sets collected and analyzed are preformed, that is they are built around a particular keyword, hashtag, or set of authors, they still contain a large volume of information, much of which is unnecessary for the current purpose and/or potentially useful for future projects. Accordingly, this panel considers methods for separating and combining data to optimize big data research and report findings to stakeholders. The first paper considers possible coding mechanisms for incoming tweets during a crisis, taking a large stream of incoming tweets and selecting which of those need to be immediately placed in front of responders, for manual filtering and possible action. The paper suggests two solutions for this, content analysis and user profiling. In the former case, aspects of the tweet are assigned a score to assess its likely relationship to the topic at hand, and the urgency of the information, whilst the latter attempts to identify those users who are either serving as amplifiers of information or are known as an authoritative source. Through these techniques, the information contained in a large dataset could be filtered down to match the expected capacity of emergency responders, and knowledge as to the core keywords or hashtags relating to the current event is constantly refined for future data collection. The second paper is also concerned with identifying significant tweets, but in this case tweets relevant to particular prediction market; tennis betting. As increasing numbers of professional sports men and women create Twitter accounts to communicate with their fans, information is being shared regarding injuries, form and emotions which have the potential to impact on future results. As has already been demonstrated with leading US sports, such information is extremely valuable. Tennis, as with American Football (NFL) and Baseball (MLB) has paid subscription services which manually filter incoming news sources, including tweets, for information valuable to gamblers, gambling operators, and fantasy sports players. However, whilst such services are still niche operations, much of the value of information is lost by the time it reaches one of these services. The paper thus considers how information could be filtered from twitter user lists and hash tag or keyword monitoring, assessing the value of the source, information, and the prediction markets to which it may relate. The third paper examines methods for collecting Twitter data and following changes in an ongoing, dynamic social movement, such as the Occupy Wall Street movement. It involves the development of technical infrastructure to collect and make the tweets available for exploration and analysis. A strategy to respond to changes in the social movement is also required or the resulting tweets will only reflect the discussions and strategies the movement used at the time the keyword list is created — in a way, keyword creation is part strategy and part art. In this paper we describe strategies for the creation of a social media archive, specifically tweets related to the Occupy Wall Street movement, and methods for continuing to adapt data collection strategies as the movement’s presence in Twitter changes over time. We also discuss the opportunities and methods to extract data smaller slices of data from an archive of social media data to support a multitude of research projects in multiple fields of study. The common theme amongst these papers is that of constructing a data set, filtering it for a specific purpose, and then using the resulting information to aid in future data collection. The intention is that through the papers presented, and subsequent discussion, the panel will inform the wider research community not only on the objectives and limitations of data collection, live analytics, and filtering, but also on current and in-development methodologies that could be adopted by those working with such datasets, and how such approaches could be customized depending on the project stakeholders.

Tablets (iPad) for M-Learning in the context of social constructivism to institute an effective learning environment

With the proliferation of mobile devices, educational institutions have experimented with various mobile devices to implement mobile learning (M-Learning). Mobile devices have been used to facilitate, support, and enhance and extend the reach of teaching and learning. Although there are very few empirically evaluated studies on M-Learning projects, these studies reported that mobile devices brought a transformation to the educational process. To be able to view M-Learning as a rich, collaborative and conversational experience, whether in the classroom or outside we need good mobile applications. Studies have revealed that effective learning happens when teachers and learners are actively participating in the knowledge building process. Therefore, there is a need for applications that create effective learning environments which are learner-centred, knowledge-centred, assessment-centred and community-centred.