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.

Too many cooks? Co-creating and co-teaching studio courses in the creative media context : a career-focussed approach

This Case Study relates to the creation and implementation of career‐focussed courses in Creative Media for film, television, animation, broadcast and web contexts. The paper examines the advantages and disadvantages of co‐teaching, and how different professional and academic backgrounds and disciplines can productively inform curriculum design and delivery in the academic/professional context. The authors, as co‐creators and co‐lecturers, have developed a number of courses which represent current working models for intermediate to advanced level academic/professional study, and attract students from across the creative disciplines; including theatre, media, visual arts and music. These courses are structured to develop in students a wide range of aesthetic and technical skills, as well as their ability to apply those skills professionally within and across the creative media industries. Issues regarding the balance between academic rigour, practical hands‐on skill development, assessment, logistics, resources, teamwork and other issues, are examined in the paper.

Social media

In the space of the past decade, the technologies, business models, everyday uses and public understandings of social media have co-evolved rapidly. In the early to mid 2000s, websites like MySpace, Facebook or Twitter were garnering interest in both the press and academia as places for amateur creativity, political subversion or trivial time-wasting on the behalf of subcultures of geeks or ‘digital natives’, but such websites were not seen as legitimate, mainstream media organisations, nor were they generally understood as respectable places for professionals (other than new media professionals) to conduct business. By late 2011, online marketing company Comscore was reporting that social networking was “the most popular online activity worldwide accounting for nearly 1 in every 5 minutes spent online”, reaching 82 percent of the world’s Internet population, or 1.2 billion users (Comscore, 2011). Today, social media is firmly established as an industry sector in its own right, and is deeply entangled with and embedded in the practices and everyday lives of media professionals, celebrities and ordinary users. We might now think of it as an embedded communications infrastructure extending across culture, society and the economy – ranging from local government Facebook pages alerting us to kerbside collection, to Tumblr blogs providing humorous cultural commentary by curating animated .gifs, to Telstra Twitter accounts responding to user requests for tech help, and to Yelp reviews helping us find somewhere to grab dinner in a strange town. As well as at least appearing to be near-ubiquitous, social media is increasingly seen as highly significant by scholars researching issues as diverse as journalistic practice (Hermida, 2012), the coordination of government and community responses to natural disasters (Bruns & Burgess, 2012), and the activities of global social and political protest movements (Howard & Hussain, 2013)...

Randomized controlled trial of MICBT for co-existing alcohol misuse and depression : outcomes to 36-months

Integrated psychological treatment addressing co-existing alcohol misuse and depression has not been compared with single-focused treatment. This trial evaluates changes over 36 months following randomization of 284 outpatients to one of four motivational interviewing and cognitive-behavior therapy (MICBT) based interventions: (1) brief integrated intervention (BI); or BI plus 9 further sessions with (2) an integrated-, (3) alcohol-, or (4) depression-focus. Outcome measures included changes in alcohol consumption, depression (BDI-II: Beck Depression Inventory) and functioning (GAF: Global Assessment of Functioning), with average improvements from baseline of 21.8 drinks per week, 12.6 BDI-II units and 8.2 GAF units. Longer interventions tended to be more effective in reducing depression and improving functioning in the long-term, and in improving alcohol consumption in the short-term. Integrated treatment was at least as good as single-focused MICBT. Alcohol-focused treatment was as effective as depression-focused treatment at reducing depression and more effective in reducing alcohol misuse. The best approach seems to be an initial focus on both conditions followed by additional integrated- or alcohol-focused sessions.

Strategies for co-targeting the PI3K/AKT/mTOR pathway in NSCLC

The PI3K/AKT/mTOR pathway regulates cell growth and proliferation and is often dysregulated in cancer due to mutation, amplification, deletion, methylation and post-translational modifications. We and others have shown that activation of this pathway in non-small cell lung cancer (NSCLC) leads to a more aggressive disease which correlates to poor prognosis for patients. A multitude of selective inhibitors are in development which target key regulators in this pathway, however the success of PI3K targeted inhibition has been hampered by a high rate of innate and acquired resistance. Response to PI3K inhibition may be improved by co-targeting potential mediators of resistance, such as related cell surface receptors or other intracellular signaling pathways which cross-talk with the PI3K pathway. Inhibition of the PI3K pathway may also overcome radioresistance, chemoresistance and immune evasion in NSCLC. The identification of appropriate patient cohorts who will benefit from PI3K co-targeted inhibition strategies will be key to the success of these inhibitors.

A typology of music distribution models

A typology of music distribution models is proposed consisting of the ownership model, the access model, and the context model. These models are not substitutes for each other and may co‐exist serving different market niches. The paper argues that increasingly the economic value created from recorded music is based on con‐text rather than on ownership. During this process, access‐based services temporarily generate economic value, but such services are destined to eventually become commoditised.

Literacies on the Web : Co-Production of Literary Texts on Fan Fiction Sites

In this chapter the authors discuss and informal learning settings such as fan fiction sites and their relations to teaching and learning within formal learning settings. Young people today spend a lot of time with social media built on user generated content. These media are often characterized by participatory culture which offers a good environment for developing skills and identity work. In this chapter the authors problematize fan fiction sites as informal learning settings where the possibilities to learn are powerful and significant. They also discuss the learning processes connected to the development of literacies. Here the rhetoric principle of “imitatio” plays a vital part as well as the co-production of texts on the sites, strongly supported by the beta reader and the power of positive feedback. They also display that some fans, through the online publication of fan fiction, are able to develop their craft in a way which previously have been impossible.

Co-morbidity of depression and anxiety in common age-related eye diseases : a population-based study of 662 adults

This study examined the prevalence of co-morbid age-related eye disease and symptoms of depression and anxiety in late life, and the relative roles of visual function and disease in explaining symptoms of depression and anxiety. A community-based sample of 662 individuals aged over 70 years was recruited through the electoral roll. Vision was measured using a battery of tests including high and low contrast visual acuity, contrast sensitivity, motion sensitivity, stereoacuity, Useful Field of View, and visual fields. Depression and anxiety symptoms were measured using the Goldberg scales. The prevalence of self-reported eye disease [cataract, glaucoma, or age-related macular degeneration (AMD)] in the sample was 43.4%, with 7.7% reporting more than one form of ocular pathology. Of those with no eye disease, 3.7% had clinically significant depressive symptoms. This rate was 6.7% among cataract patients, 4.3% among those with glaucoma, and 10.5% for AMD. Generalized linear models adjusting for demographics, general health, treatment, and disability examined self-reported eye disease and visual function as correlates of depression and anxiety. Depressive symptoms were associated with cataract only, AMD, comorbid eye diseases and reduced low contrast visual acuity. Anxiety was significantly associated with self-reported cataract, and reduced low contrast visual acuity, motion sensitivity and contrast sensitivity. We found no evidence for elevated rates of depressive or anxiety symptoms associated with self-reported glaucoma. The results support previous findings of high rates of depression and anxiety in cataract and AMD, and in addition show that mood and anxiety are associated with objective measures of visual function independently of self-reported eye disease. The findings have implications for the assessment and treatment of mental health in the context of late-life visual impairment...

Prediction of CO concentrations based on a hybrid Partial Least Square and Support Vector Machine model

Due to the health impacts caused by exposures to air pollutants in urban areas, monitoring and forecasting of air quality parameters have become popular as an important topic in atmospheric and environmental research today. The knowledge on the dynamics and complexity of air pollutants behavior has made artificial intelligence models as a useful tool for a more accurate pollutant concentration prediction. This paper focuses on an innovative method of daily air pollution prediction using combination of Support Vector Machine (SVM) as predictor and Partial Least Square (PLS) as a data selection tool based on the measured values of CO concentrations. The CO concentrations of Rey monitoring station in the south of Tehran, from Jan. 2007 to Feb. 2011, have been used to test the effectiveness of this method. The hourly CO concentrations have been predicted using the SVM and the hybrid PLS–SVM models. Similarly, daily CO concentrations have been predicted based on the aforementioned four years measured data. Results demonstrated that both models have good prediction ability; however the hybrid PLS–SVM has better accuracy. In the analysis presented in this paper, statistic estimators including relative mean errors, root mean squared errors and the mean absolute relative error have been employed to compare performances of the models. It has been concluded that the errors decrease after size reduction and coefficients of determination increase from 56 to 81% for SVM model to 65–85% for hybrid PLS–SVM model respectively. Also it was found that the hybrid PLS–SVM model required lower computational time than SVM model as expected, hence supporting the more accurate and faster prediction ability of hybrid PLS–SVM model.

Engraftment outcomes after HPC co-culture with mesenchymal stromal cells and osteoblasts

Haematopoietic stem cell (HSC) transplantation is an established cell-based therapy for a number of haematological diseases. To enhance this therapy, there is considerable interest in expanding HSCs in artificial niches prior to transplantation. This study compared murine HSC expansion supported through co-culture on monolayers of either undifferentiated mesenchymal stromal cells (MSCs) or osteoblasts. Sorted Lineage− Sca-1+ c-kit+ (LSK) haematopoietic stem/progenitor cells (HPC) demonstrated proliferative capacity on both stromal monolayers with the greatest expansion of LSK shown in cultures supported by osteoblast monolayers. After transplantation, both types of bulk-expanded cultures were capable of engrafting and repopulating lethally irradiated primary and secondary murine recipients. LSKs co-cultured on MSCs showed comparable, but not superior, reconstitution ability to that of freshly isolated LSKs. Surprisingly, however, osteoblast co-cultured LSKs showed significantly poorer haematopoietic reconstitution compared to LSKs co-cultured on MSCs, likely due to a delay in short-term reconstitution. We demonstrated that stromal monolayers can be used to maintain, but not expand, functional HSCs without a need for additional haematopoietic growth factors. We also demonstrated that despite apparently superior in vitro performance, co-injection of bulk cultures of osteoblasts and LSKs in vivo was detrimental to recipient survival and should be avoided in translation to clinical practice.

Co-thought gestures : supporting students to successfully navigate map tasks

This study considers the role and nature of co-thought gestures when students process map-based mathematics tasks. These gestures are typically spontaneously produced silent gestures which do not accompany speech and are represented by small movements of the hands or arms often directed toward an artefact. The study analysed 43 students (aged 10–12 years) over a 3-year period as they solved map tasks that required spatial reasoning. The map tasks were representative of those typically found in mathematics classrooms for this age group and required route finding and coordinate knowledge. The results indicated that co-thought gestures were used to navigate the problem space and monitor movements within the spatial challenges of the respective map tasks. Gesturing was most influential when students encountered unfamiliar tasks or when they found the tasks spatially demanding. From a teaching and learning perspective, explicit co-thought gesturing highlights cognitive challenges students are experiencing since students tended to not use gesturing in tasks where the spatial demands were low.

Supramolecular selection in molecular and framework co-crystals

An ongoing challenge in chemistry and crystal engineering is the synthesis of functional materials with predictable structures and customisable properties. This may be achieved by crystallising mixtures of different compounds. Co-crystals formed through this method have predictable structures and their properties may be tuned by varying the ratio of the compounds in the crystallising solution. This thesis examines single crystals formed by the co-crystallisation of metal complexes that have similar structures but different physical or chemical properties. A variety of new compounds with interesting properties were prepared, characterised and their significance in the context of crystal engineering was explored.

Co-creative media in remote Indigenous communities

This paper examines co-creative video outputs that have originated from, or relate to, remote Indigenous communities in Australia. Scholarly work on remote media has mostly operated at the interface of media studies and anthropology, seeking to identify how cultural systems shape the production, distribution and reception of media in Aboriginal communities. This paper looks instead at content themes, funding sources and institutions during the 2010-2013 period, and examines the factors that may be determining the quantity of co-creative outputs, as well as the types of stories that get produced. I argue that the focus on culture has obscured important shifts in remote media policy and funding, including a trend towards content designed to address social disadvantage.

Geometric sensitivity of patient-specific finite element models of the spine to variability in user-selected anatomical landmarks

Software to create individualised finite element (FE) models of the osseoligamentous spine using pre-operative computed tomography (CT) data-sets for spinal surgery patients has recently been developed. This study presents a geometric sensitivity analysis of this software to assess the effect of intra-observer variability in user-selected anatomical landmarks. User-selected landmarks on the osseous anatomy were defined from CT data-sets for three scoliosis patients and these landmarks were used to reconstruct patient-specific anatomy of the spine and ribcage using parametric descriptions. The intra-observer errors in landmark co-ordinates for these anatomical landmarks were calculated. FE models of the spine and ribcage were created using the reconstructed anatomy for each patient and these models were analysed for a loadcase simulating clinical flexibility assessment. The intra-observer error in the anatomical measurements was low in comparison to the initial dimensions, with the exception of the angular measurements for disc wedge and zygapophyseal joint (z-joint) orientation and disc height. This variability suggested that CT resolution may influence such angular measurements, particularly for small anatomical features, such as the z-joints, and may also affect disc height. The results of the FE analysis showed low variation in the model predictions for spinal curvature with the mean intra-observer variability substantially less than the accepted error in clinical measurement. These findings demonstrate that intra-observer variability in landmark point selection has minimal effect on the subsequent FE predictions for a clinical loadcase.

Developing Co-operating Legal Knowledge Based Systems

In attempting to build intelligent litigation support tools, we have moved beyond first generation, production rule legal expert systems. Our work supplements rule-based reasoning with case based reasoning and intelligent information retrieval. This research, specifies an approach to the case based retrieval problem which relies heavily on an extended object-oriented / rule-based system architecture that is supplemented with causal background information. Machine learning techniques and a distributed agent architecture are used to help simulate the reasoning process of lawyers. In this paper, we outline our implementation of the hybrid IKBALS II Rule Based Reasoning / Case Based Reasoning system. It makes extensive use of an automated case representation editor and background information.