Future Asian space : projecting the urban space of new East Asia

The idea of "Asian space" is undergoing a transformation as a result of rapid technological, economic, social and cultural changes. Following the shift to a global economy and an urban population explosion, Asian cities have been presented as a mainstay of progress, national pride, identity, and positioning on the global stage. The extraordinary pace and intensity of the changes have created a situation unique in the history of urban development. Despite the immense diversity of Asian countries, "Asia-ness" is often treated as a distinctive quality that has emerged from unique recent circumstances affecting Asian urbanizations as a whole. In Future Asian Space, 15 authors explore broad concepts relating to the creation and re-creation of "Asian space" and contemporary Asian identity, and their examination of different sites and research approaches highlights the difficulty of pinpointing what Asia-ness is, or might become. Appropriate design and planning of cities is a critical element in building a sustainable future and coping with environmental, social and cultural problems. Future Asian Space is designed to stimulate interest and engagement in discussions of the Asian city, and its trajectories in architecture and urbanism. The authors' conclusions are important for academics, theorists and practitioners, but they will also intrigue anyone interested in the future of cities and urban life in Asia.

Flusser's death rattle

A live film performance using magnificent 16mm featuring Dirk De Bruyn in person. Can an image be sonic and ephemeral in the digital age? Live 3-screen film projection, shadow-play and sound poetry plumbing 35 years of experimental film practice, laying bare those processes of graffiti production splattered across the alleyways and railway lines of the planet’s inner cities but whose performance threatens to become completely hidden inside the computer. Images scratched, dyed, bleached and redrawn by hand are brought together to immerse the audience in an aural-visual rant. Does the analogue answer back to the digital media explosion or merely succumb in an angry death rattle of lost causes? Rev presents a rare opportunity to see one of Australia’s most important experimental filmmakers presenting a unique expanded cinema event.

A guided rule reduction system for prioritization of failures in fuzzy FMEA

Traditional Failure Mode and Effect Analysis (FMEA) utilizes the Risk Priority Number (RPN) ranking system to evaluate the risk level of failures, to rank failures, and to prioritize actions. Although this method is simple, it suffers from several shortcomings. In this paper, use of fuzzy inference techniques for RPN determination in an attempt to overcome the weaknesses associated with the traditional RPN ranking system is investigated. However, the fuzzy RPN model, suffers from the combinatorial rule explosion problem. As a result, a generic rule reduction approach, i.e. the Guided Rule Reduction System (GRRS), is proposed to reduce the number of rules that need to be provided by users during the fuzzy RPN modeling process. The proposed approach is evaluated using real-world case studies pertaining to semiconductor manufacturing. The results are analyzed, and implications of the proposed approach are discussed.

A fuzzy decision support method for customer preferences analysis based on Choquet integral

The explosion of the Web 2:0 platforms, with massive volume of user generated data, has presented many new opportunities as well as challenges for organizations in understanding consumer's behavior to support for business planning process. Feature based sentiment mining has been an emerging area in providing tools for automated opinion discovery and summarization to help business managers with achieving such goals. However, the current feature based sentiment mining systems were only able to provide some forms of sentiments summary with respect to product features, but impossible to provide insight into the decision making process of consumers. In this paper, we will present a relatively new decision support method based on Choquet Integral aggregation function, Shapley value and Interaction Index which is able to address such requirements of business managers. Using a study case of Hotel industry, we will demonstrate how this technique can be applied to effectively model the user's preference of (hotel) features. The presented method has potential to extend the practical capability of sentiment mining area, while, research findings and analysis are useful in helping business managers to define new target customers and to plan more effective marketing strategies.

Understanding data quality issues in dynamic organisational environments – a literature review

Technology has been the catalyst that has facilitated an explosion of organisational data in terms of its velocity, variety, and volume, resulting in a greater depth and breadth of potentially valuable information, previously unutilised. The variety of data accessible to organisations extends beyond traditional structured data to now encompass previously unobtainable and difficult to analyse unstructured data. In addition to exploiting data, organisations are now facing an even greater challenge of assessing data quality and identifying the impacts of lack of quality. The aim of this research is to contribute to data quality literature, focusing on improving a current understanding of business-related Data Quality (DQ) issues facing organisations. This review builds on existing Information Systems literature, and proposes further research in this area. Our findings confirm that the current literature lags in recognising new types of data and imminent DQ impacts facing organisations in today’s dynamic environment of the so-called “Big Data”. Insights clearly identify the need for further research on DQ, in particular in relation to unstructured data. It also raises questions regarding new DQ impacts and implications for organisations, in their quest to leverage the variety of available data types to provide richer insights.

2 or 3 things I remember or should have known about him

Optic Antics celebrates the work of Film Artist Ken Jacobs’ substantial and ongoing materialist practice, straddling more than 50 years, complicit in the 60s explosion of experimental film and now witnessing and commenting on the digital onslaught. This practice includes 16mm films that are recognized as foundation works for an experimental artist based cinema, celebrated and ongoing film performances and a renewed digital practice that re-animates historic 3-D images in flicker form.

Recovering the hidden through found-footage films

In the early nineteen seventies materialist experimental film was cogently rejected by feminist theorists for its inability to deliver a feminist counter-cinema addressing its political agenda. The concomitant development of feminist psychoanalytic readings of “dominant cinema” against its grain also discounted such work. This split is marked by Peter Wollen’s formulation of “two avant-gardes”, one narrative and explicit about its political position and the other non-narrative and focusing directly on implicit perceptual processes. Materialist film’s fixation on structure jettisoned content, and extended post-war painting’s essentialist move to pure abstraction manifest in abstract expressionism and minimalism. The emergence of trauma theory and the recent explosion of moving image digital media with its non-linear bias and the complex layering of “technical images” have created a new situation opening up alternate readings of such discounted materialist practices. As well as a historic precursor for digital media, it is suggested that a materialist cinema, represented here by the found footage films: Alone: Life Wastes Andy Hardy (Arnold 1998) and Dreamwork (Tscherkassky 2001), signposts a belated return for materialist film within the context of trauma studies. This materialist turn rescues such experimental film from its traumatic excision and extends an understanding of what has been termed a “trauma cinema” by Janet Walker. Rather than pure, abstract or visionary such practice is read here through trauma theory as performing implicit mechanisms of denial and erasure.

Found footage: recycling historic material a-historically

The digital has speeded up multi-platform image delivery, to impose sampling and collagic strategies into the way we process information. This is a trauma inducing situation. During an earlier period of technological change reading the moving landscape similarly overwhelmed the early train traveller. Wolfgang Schivelbusch noted that ‘The inability to acquire a mode of perception adequate to technological travel crossed all political, ideological and aesthetic lines.’ (1983) New perceptual strategies had to be developed that contextualized the blur and the streak produced by looking out the train window without overwhelming the viewer. Utilizing Chris Brewin’s (2001) model of two parallel memory systems, this paper argues that, as another round of unprecedented technological change impacts on our senses, another ‘re-alignment’ of the senses is required. Chris Brewin’s (2001) model of two parallel memory systems, of Verbally Accessible Memory (VAM) and Situational Accessible Memory (SAM), suggests that the current information explosion requires a greater emphasis on the SAM system for processing information and critical thinking. Processed through the amygdala, SAM is implicit, situationally triggered, information intensive and conveys no sense of time. Found footage films, like those of Martin Arnold and Peter Tscherkassky that cut up, layer, repeat and recycle historic imagery perform the sampling and collagic strategies that characterize this SAM memory system to demonstrate a more visually based mode of critical thinking.

Growing self-organizing map for online continuous clustering

The internet age has fuelled an enormous explosion in the amount of information generated by humanity. Much of this information is transient in nature, created to be immediately consumed and built upon (or discarded). The field of data mining is surprisingly scant with algorithms that are geared towards the unsupervised knowledge extraction of such dynamic data streams. This chapter describes a new neural network algorithm inspired by self-organising maps. The new algorithm is a hybrid algorithm from the growing self-organising map (GSOM) and the cellular probabilistic self-organising map (CPSOM). The result is an algorithm which generates a dynamically growing feature map for the purpose of clustering dynamic data streams and tracking clusters as they evolve in the data stream.

Celebrity and power : fame in contemporary culture

Through a new introduction for this edition, Marshall investigates the viewing public's desire to associate with celebrity and addresses the explosion of instant access to celebrity culture, bringing famous people and their admireres closer than ever before.  He explores the concept of the new public intimacy: a product of social media in which celebrities from lady Gaga to Barack Obama are expected to continuously campaing for audiences in new ways. The new introduction also details the development of celebrity studies and the need for research into the construction of persona in contemporary culture as the dimension of publicizing the self has expanded through online culture.

Protocol and rationale-the efficacy of minocycline as an adjunctive treatment for major depressive disorder: a double blind, randomised, placebo controlled trial

While current pharmacotherapies are efficacious, there remain a clear shortfall between symptom remission and functional recovery. With the explosion in our understanding of the biology of these disorders, the time is ripe for the investigation of novel therapies. Recently depression is conceptualized as an immune-inflammatory and nitro-oxidative stress related disorder. Minocycline is a tetracycline antibiotic that has anti-inflammatory, pro-oxidant, glutamatergic, neurotrophic and neuroprotective properties that make it a viable target to explore as a new therapy. This double blind, randomised, placebo controlled adjunctive trial will investigate the benefits of 200 mg/day of minocycline treatment, in addition to any usual treatment, as an adjunctive treatment for moderate-severe major depressive disorder. Sixty adults are being randomised to 12 weeks of treatment (with a 4 week follow-up post-discontinuation). The primary outcome measure for the study is mean change on the Montgomery-Asberg Depression Rating Scale (MADRS), with secondary outcomes including the Social and Occupational Functioning Assessment Scale (SOFAS), Clinical Global Impressions (CGI), Hamilton Rating Scale for Anxiety (HAM-A), Patient Global Impression (PGI), Quality of Life Enjoyment and Satisfaction Questionnaire (Q-LES-Q) and Range of Impaired Functioning Tool (LIFE-RIFT). Biomarker analyses will also be conducted at baseline and week 12. The study has the potential to provide new treatment targets, both by showing efficacy with a new class of 'antidepressant' but also through the analysis of biomarkers that may further inform our understanding of the pathophysiology of unipolar depression.

Accepting risk in the acceleration of drug development for rare cancers.

Rare cancers collectively contribute a disproportionate fraction of the total burden of cancer. The oncology community is increasingly facing small numbers of patients with each cancer subtype, requiring cooperation and collaboration to complete multicentre trials that advance knowledge and patient care. At the same time, new insights into the biology of rare cancers have led to an explosion in knowledge and development of targeted agents. These insights and techniques are set to revolutionise the care of patients with cancer. However, drug development strategies and the availability of new agents for rare cancers are at risk of stalling owing to the ever-increasing complexity and costs of clinical trials. Finding solutions to these problems is imperative to the future of cancer care. We propose that a greater degree of risk sharing is needed than is currently accepted to enable the use of new methods with confidence, and to keep pace with scientific advancement.

A general communication cost optimization framework for big data stream processing in geo-distributed data centers

With the explosion of big data, processing large numbers of continuous data streams, i.e., big data stream processing (BDSP), has become a crucial requirement for many scientific and industrial applications in recent years. By offering a pool of computation, communication and storage resources, public clouds, like Amazon's EC2, are undoubtedly the most efficient platforms to meet the ever-growing needs of BDSP. Public cloud service providers usually operate a number of geo-distributed datacenters across the globe. Different datacenter pairs are with different inter-datacenter network costs charged by Internet Service Providers (ISPs). While, inter-datacenter traffic in BDSP constitutes a large portion of a cloud provider's traffic demand over the Internet and incurs substantial communication cost, which may even become the dominant operational expenditure factor. As the datacenter resources are provided in a virtualized way, the virtual machines (VMs) for stream processing tasks can be freely deployed onto any datacenters, provided that the Service Level Agreement (SLA, e.g., quality-of-information) is obeyed. This raises the opportunity, but also a challenge, to explore the inter-datacenter network cost diversities to optimize both VM placement and load balancing towards network cost minimization with guaranteed SLA. In this paper, we first propose a general modeling framework that describes all representative inter-task relationship semantics in BDSP. Based on our novel framework, we then formulate the communication cost minimization problem for BDSP into a mixed-integer linear programming (MILP) problem and prove it to be NP-hard. We then propose a computation-efficient solution based on MILP. The high efficiency of our proposal is validated by extensive simulation based studies.