Hybrid model for motorway travel time estimation considering increased detector spacing

Travel time estimation and prediction on motorways has long been a topic of research. Prediction modeling generally assumes that the estimation is perfect. No matter how good is the prediction modeling- the errors in estimation can significantly deteriorate the accuracy and reliability of the prediction. Models have been proposed to estimate travel time from loop detector data. Generally, detectors are closely spaced (say 500m) and travel time can be estimated accurately. However, detectors are not always perfect, and even during normal running conditions few detectors malfunction, resulting in increase in the spacing between the functional detectors. Under such conditions, error in the travel time estimation is significantly large and generally unacceptable. This research evaluates the in-practice travel time estimation model during different traffic conditions. It is observed that the existing models fail to accurately estimate travel time during large detector spacing and congestion shoulder periods. Addressing this issue, an innovative Hybrid model that only considers loop data for travel time estimation is proposed. The model is tested using simulation and is validated with real Bluetooth data from Pacific Motorway Brisbane. Results indicate that during non free flow conditions and larger detector spacing Hybrid model provides significant improvement in the accuracy of travel time estimation.

Pattern-based topics for document modelling in information filtering

Many mature term-based or pattern-based approaches have been used in the field of information filtering to generate users’ information needs from a collection of documents. A fundamental assumption for these approaches is that the documents in the collection are all about one topic. However, in reality users’ interests can be diverse and the documents in the collection often involve multiple topics. Topic modelling, such as Latent Dirichlet Allocation (LDA), was proposed to generate statistical models to represent multiple topics in a collection of documents, and this has been widely utilized in the fields of machine learning and information retrieval, etc. But its effectiveness in information filtering has not been so well explored. Patterns are always thought to be more discriminative than single terms for describing documents. However, the enormous amount of discovered patterns hinder them from being effectively and efficiently used in real applications, therefore, selection of the most discriminative and representative patterns from the huge amount of discovered patterns becomes crucial. To deal with the above mentioned limitations and problems, in this paper, a novel information filtering model, Maximum matched Pattern-based Topic Model (MPBTM), is proposed. The main distinctive features of the proposed model include: (1) user information needs are generated in terms of multiple topics; (2) each topic is represented by patterns; (3) patterns are generated from topic models and are organized in terms of their statistical and taxonomic features, and; (4) the most discriminative and representative patterns, called Maximum Matched Patterns, are proposed to estimate the document relevance to the user’s information needs in order to filter out irrelevant documents. Extensive experiments are conducted to evaluate the effectiveness of the proposed model by using the TREC data collection Reuters Corpus Volume 1. The results show that the proposed model significantly outperforms both state-of-the-art term-based models and pattern-based models

An evidence-based brochure to educate contact lens wearers about safe contact lens wear

Contact lenses are a successful and popular means to correct refractive error and are worn by just under 700,000 Australians1 and approximately 125 million people worldwide. The most serious complication of contact lens wear is microbial keratitis, a potentially sight-threatening corneal infection most often caused by bacteria. Gram-negative bacteria, in particular pseudomonas species, account for the majority of severe bacterial infections. Pathogens such as fungi or amoebae, which feature less often, are associated with significant morbidity. These unusual pathogens have come into the spotlight in recent times with an apparent association with specific lens cleaning solutions...

Transformative approaches to sustainability

How to live sustainably is a topic of local, national and international importance. The Australian National Curriculum (ACARA, 2011) identifies sustainability as a cross-disciplinary strand, obligating teachers to build sustainability into their pedagogical practices. In early childhood education, the Early Years Learning Framework (2009) and more recently, the National Quality Framework (2011) provide impetus for early childhood education for sustainably (ECEfS). This article discusses ECEfS, but first, it addresses climate change putting this into a sustainability perspective.

Book review: ‘Anterior Eye Disease and Therapeutics A-Z' [2nd ed.] Edition, by A. Bruce and M. Loughnan. Churchill Livingstone (Elsevier), Edinburgh 2011

With the ever-increasing emphasis on ocular disease recognition in the practice of optometry and especially anterior eye disease management and therapeutics, any book addressing such issues is bound to have a captive audience. This second edition of Anterior Eye Disease and Therapeutics A–Z provides a succinct yet comprehensive coverage of this topic.

Targeting nuclear factor-kappa B to overcome resistance to chemotherapy

Intrinsic or acquired resistance to chemotherapeutic agents is a common phenomenon and a major challenge in the treatment of cancer patients. Chemoresistance is defined by a complex network of factors including multi-drug resistance proteins, reduced cellular uptake of the drug, enhanced DNA repair, intracellular drug inactivation, and evasion of apoptosis. Pre-clinical models have demonstrated that many chemotherapy drugs, such as platinum-based agents, antracyclines, and taxanes, promote the activation of the NF-κB pathway. NF-κB is a key transcription factor, playing a role in the development and progression of cancer and chemoresistance through the activation of a multitude of mediators including anti-apoptotic genes. Consequently, NF-κB has emerged as a promising anti-cancer target. Here, we describe the role of NF-κB in cancer and in the development of resistance, particularly cisplatin. Additionally, the potential benefits and disadvantages of targeting NF-κB signaling by pharmacological intervention will be addressed.

Genome stability pathways in head and neck cancers

Genomic instability underlies the transformation of host cells toward malignancy, promotes development of invasion and metastasis and shapes the response of established cancer to treatment. In this review, we discuss recent advances in our understanding of genomic stability in squamous cell carcinoma of the head and neck (HNSCC), with an emphasis on DNA repair pathways. HNSCC is characterized by distinct profiles in genome stability between similarly staged cancers that are reflected in risk, treatment response and outcomes. Defective DNA repair generates chromosomal derangement that can cause subsequent alterations in gene expression, and is a hallmark of progression toward carcinoma. Variable functionality of an increasing spectrum of repair gene polymorphisms is associated with increased cancer risk, while aetiological factors such as human papillomavirus, tobacco and alcohol induce significantly different behaviour in induced malignancy, underpinned by differences in genomic stability. Targeted inhibition of signalling receptors has proven to be a clinically-validated therapy, and protein expression of other DNA repair and signalling molecules associated with cancer behaviour could potentially provide a more refined clinical model for prognosis and treatment prediction. Development and expansion of current genomic stability models is furthering our understanding of HNSCC pathophysiology and uncovering new, promising treatment strategies. © 2013 Glenn Jenkins et al.

The subject and architecture

Invited Presentation on my book Architecture for a Free Subjectivity. In March of 1982, Skyline, the Institute for Architecture and Urban Studies serial, published the landmark interview between Paul Rabinow, an American anthropologist, and Michel Foucault, which would only appear two years later under the title “Space, Knowledge, and Power,” in Rabinow’s edited book The Foucault Reader. Foucault said that in the spatialization of knowledge and power beginning in the 18th century, architecture is not a signifier or metaphor for power, it is rather the “technique for practising social organization.” The role of the IAUS in the architectural dissemination of Foucault’s ideas on the subject and space in the North American academy – such as the concept “heterotopia,” and Foucault’s writing on surveillance and Jeremy Bentham’s Panopticon, subsequently analysed by Georges Teyssot, who was teaching at the Venice School – is well known. Teyssot’s work is part of the historical canalization of Foucauldianism, and French subjectivity more broadly, along its dizzying path, via Italy, to American architecture schools, where it solidified in the 1980s paradigm that would come to be known as American architecture theory. Foucault was already writing on incarceration and prisons, from the 1970s. (In the 1975 lectures he said “architecture was responsible for the invention of madness.”) But this work was not properly incorporated into architectural discussion until the early ’80s. What is not immediately apparent, what this history suggests to me is that subjectivity was not a marginal topic within “theory”, but was perhaps a platform and entry point for architecture theory. One of the ideas that I’m working on is that “theory” can be viewed, historically, as the making of architectural subjectivity, something that can be traced back to the Frankfurt School critique which begins with the modern subject...

Masculinity, sexuality and hate-motivated violence : the case of Darren

In this paper I use the case study of Darren, derived from two interviews in a research study of racism in the city of Stoke, UK (Gadd, Dixon and Jefferson 2005; Gadd and Dixon 2011), to explore how best to approach the topic of hate-motivated violence. This entails discussing the relationships among racism (the original object of study), hate-motivated violence (the more general term) and prejudices of various sorts. Because that discussion, I argue, justifies a psychoanalytic starting point, and since violence has become, almost quintessentially, masculine, this leads on to an exploration of what can be learnt from psychoanalysis about the relations among sexuality, masculinity, hatred and violence. This involves brief discussions of some key psychoanalytic terms, but only what is needed to enable sense to be made of my chosen case, which I shall then interrogate using these psychoanalytic ideas, focused on understanding the origins and nature of Darren’s hatred.

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.

Detecting news topics from microblogs using sequential pattern mining

This thesis presents a sequential pattern based model (PMM) to detect news topics from a popular microblogging platform, Twitter. PMM captures key topics and measures their importance using pattern properties and Twitter characteristics. This study shows that PMM outperforms traditional term-based models, and can potentially be implemented as a decision support system. The research contributes to news detection and addresses the challenging issue of extracting information from short and noisy text.

The importance of agency in facilitating the transition to a multifunctional countryside

We appreciate Holmes' body of work relating to transitions within the Australian landscape, and welcome the opportunity to engage in a discussion on this topic. The paper to which Holmes refers (Bjørkhaug and Richards, 2008) examined the application of agricultural (rather than landscape) multifunctionality in both Norway and Australia. Of specific focus was how non-tradeable concerns, such as environmental sustainability, faired under these divergent systems. We argued that Norway's multifunctionality was strong, due to it being embraced at both the policy and actor level, whereas Australia's could be described as weak. This ‘weak multifunctionality’ that we observed in Australia was due to an emerging bi-lateral (state and federal) policy framework that advocated the importance of environmental values which was rarely embraced by landholders who found themselves trapped on the ‘agricultural treadmill’. The nature of the treadmill is that alternative forms of land use are unthinkable when on-farm investments have been made that support the status quo – to get bigger and/or more efficient. For many of the Australian landholders interviewed in relation to this study, efficiency in production was at odds with the values necessary to effect a transition toward multifunctionality. For instance, graziers in Central Queensland were unconvinced of the value of conserving native flora and fauna when economic viability can be better assured through clear felling native forests to increase the productive capacity of the land.

Australian journalism students' motivations and job expectations : evidence from a survey across six universities

The value of tertiary journalism education is an often hotly-debated topic among journalism educators and in the industry. Yet, the voices of students are often not heard in these debates. For example, we know relatively little about why young people actually decide to study journalism, what area of journalism they want to work in and what they are looking for in a job. To shed more light on the student perspective, this paper reports on a survey of 320 undergraduate journalism students at six Australian universities. The results show that only a minority actually want to work in news journalism, while most prefer entertainment-focussed areas. Students are motivated mainly by a love for writing and because they like journalism as a profession. In terms of job characteristics, they are particularly interested in their own career progression, but also in the extent to which they can provide a public service.

Assessing the discipline : an analysis of Australian journalism review articles 2000-2010

In recent years, there has been much discussion about the quality of research published by Australian journalism academics, without much empirical evidence about what kind of work the field actually engages in. This paper attempts to map the relatively young field of Australian journalism research by presenting the results of a comprehensive meta-analysis of articles published in the Australian Journalism Review between 2000 and 2010. Our findings show that, contrary to evidence elsewhere, a gender balance exists in terms of absolute numbers of authors, although a "glass-ceiling effect" is still discernible. Queensland universities dominate the publications, and most studies employ qualitative rather than quantitative methods. Journalism education is the most popular topic, yet a large variety of topics are evident overall. Despite a heavy focus on Australia, and to a smaller extent New Zealand, the journal also displays a sizeable international touch.

Introducing dynamics : a new approach to "new media" [Editorial]

The term ‘‘new media’’ has been in play for decades now, and one might be forgiven for wondering how much longer digital forms and platforms can really be called ‘‘new,’’ or even what the scholarship of new media contributes to knowledge. Is it possible to say new things about new media? We think so. This Companion not only demonstrates the variety, salience, and importance of new media studies but also proposes a distinctive approach to the topic : an approach we call ‘‘new media dynamics.’’ In this view, what’s interesting about ‘‘new media’’ is not novelty as such but dynamism. Capitalism, technology, social networks, and media all evolve and change, sometimes to our delight, sometimes our dismay. This incessant process of disruption, renewal, and eventual (if often partial) replacement is now one of humanity’s central experiences. This cutting-edge collection brings together a stellar array of the world’s top researchers, cultural entrepreneurs, and emerging scholars to give the dynamics of new media their first full-length, multidisciplinary, historical, and critical treatment. Across 34 chapters, an international line-up of the very best authors reflects on the historical, technical, cultural, and political changes that underlie the emergence of new media, as existing patterns and assumptions are challenged by the forces of ‘‘creative destruction’’ and innovation, both economic and cultural. At the same time they show that familiar themes and problems carry through from ‘‘old’’media – questions of identity, sexuality, politics, relationships, and meaning.