Competition Law in Australia [6th ed.]

Competition Law in Australia, 6th edition provides a comprehensive discussion of the provisions of the Competition and Consumer Act 2010 (Cth) (CCA) dealing with the regulation of competition and markets in Australia. This book covers disparate topics, such as restrictions in horizontal and vertical agreements, horizontal mergers and acquisitions, misuse of market power, and access to services necessary to compete in upstream or downstream markets. However, the unifying theme of this text is that it is not possible to use a formalistic approach in applying the CCA. The decisions of the courts, and the competition authorities responsible for implementing and enforcing the CCA, underline the need to undertake a detailed substantive economic analysis of the effect of the agreement or conduct at issue on competition, efficiency and consumer welfare.

After Darkly Catwalk Design, QUT Fashion Graduate Showcase 2013

QUT Fashion collaborated with QUT Interior Design to design the Catwalk for the After Darkly Graduate Fashion Show 2013. The ephemeral work (catwalk canopy) was developed through a collaboration between the authors based upon an undergraduate interior design unit 'Filmic Interiors'. The unit exploited the potential of film to influence, understand, and develop novel interior spaces – particularly through consideration of mise en scene, cinematic effects and atmospheric design strategies engaged by key film directors. The design outcome represented a hybridisation of student design proposals, contemplating both film and emerging fashion collections from QUT fashion graduate class of 2013. The creative work built upon material experimentation research explored by the designers either through prior QUT interior design units ('Strange Spaces') or through previous practice ‘Making Strange’(1). The work explored a number of iterations each testing material qualities and associated immaterial cinematic affects. The final catwalk proposed a unique design, which posited the spectators centrally within the space, encircled by a hand formed flexible material canopy used as an entrance for the fashion collections. The proposal exploited the malleable yet tensile character of the canopy to inform a temporary installation, intensified further through a varied program of sceno-graphic lighting. (1) Lindquist, M. & Pytel, A. (2013)

Text mining with semantic annotation : using enriched text representation for entity-oriented retrieval, semantic relation identification and text clustering

This project is a step forward in the study of text mining where enhanced text representation with semantic information plays a significant role. It develops effective methods of entity-oriented retrieval, semantic relation identification and text clustering utilizing semantically annotated data. These methods are based on enriched text representation generated by introducing semantic information extracted from Wikipedia into the input text data. The proposed methods are evaluated against several start-of-art benchmarking methods on real-life data-sets. In particular, this thesis improves the performance of entity-oriented retrieval, identifies different lexical forms for an entity relation and handles clustering documents with multiple feature spaces.

Advertising : an integrated marketing communication perspective

This text provide the ideal student-centered introduction to the fast-changing field of integrated marketing communications. Technologies such as the convergence of the internet, mobile devices, and traditional channels are changing the way companies use marketing tools to communicate with their customers. The third edition of this market-leading text has been extensively revised to examine how cutting-edge developments are impacting the IMC program of marketers. All vignettes, cases and boxes showcasing specific examples of how companies and their communications agencies are using integrated marketing communications are new or updated. They provide engaging insights into the most current and popular campaigns being used by marketers and the key current trends and developments taking place in the advertising world.

Can skin cancer prevention and early detection be improved via mobile phone text messaging? a randomised, attention-control trial.

Objective. To test the impact of a theory-based, SMS (text message)-delivered behavioural intervention (Healthy Text) targeting sun protection or skin self-examination behaviours compared to attention-control. Method. Overall, 546 participants aged 18–42 years were randomised using a computer-generated number list to the skin self-examination (N = 176), sun protection (N = 187), or attention-control (N = 183) text messages group. Each group received 21 text messages about their assigned topic over 12 months (12 weekly messages for three months, then monthly messages for the next nine months). Data was collected via telephone survey at baseline, three-, and 12-months across Queensland from January 2012 to August 2013. Results. One year after baseline, the sun protection (mean change 0.12; P = 0.030) and skin self-examination groups (mean change 0.12; P = 0.035) had significantly greater improvement in their sun protection habits (SPH) index compared to the attention-control group (reference mean change 0.02). The increase in the proportion of participants who reported any skin self-examination from baseline to 12 months was significantly greater in the skin self-examination intervention group (103/163; 63%; P < 0.001) than the sun protection (83/173; 48%), or attention-control (65/165; 36%) groups. There was no significant effect of the intervention for participants who self-reported whole-body skin self-examination, sun tanning behaviour, or sunburn behaviours. Conclusion. The Healthy Text intervention was effective in inducing significant improvements in sun protection and any type of skin self-examination behaviours.

Integrated marketing communications

Organisations continually use integrated marketing communications to achieve a competitive advantage and meet their marketing objectives. This 4th edition of Integrated Marketing Communications emphasises digital and interactive marketing, the most dynamic and crucial components to a successful IMC campaign today. Incorporating the most up to date theories and practice, the text clearly explains and demonstrates how to best select and co-ordinate all of a brand’s marketing communications elements to effectively engage the target market. Chapters adopt an integrative approach to examine marketing communications from both a consumer’s and marketer’s perspective. A wide range of local and global examples include: Spotify, Pandora, Coca-Cola, Pepsi, Woolworths, Nike, KFC, Victoria Bitter, Tigerair and Air New Zealand. Each new copy of the text also offers 12 month access to wealth of student on-line revision and learning tools: CourseMate Express + Search me! marketing. Unique to the text is a series of end of chapter local videos showing students how key objectives in IMC theory are applied by real businesses.

Using automated text analysis to evaluate students’ conceptual understanding

Background: A major challenge for assessing students’ conceptual understanding of STEM subjects is the capacity of assessment tools to reliably and robustly evaluate student thinking and reasoning. Multiple-choice tests are typically used to assess student learning and are designed to include distractors that can indicate students’ incomplete understanding of a topic or concept based on which distractor the student selects. However, these tests fail to provide the critical information uncovering the how and why of students’ reasoning for their multiple-choice selections. Open-ended or structured response questions are one method for capturing higher level thinking, but are often costly in terms of time and attention to properly assess student responses. Purpose: The goal of this study is to evaluate methods for automatically assessing open-ended responses, e.g. students’ written explanations and reasoning for multiple-choice selections. Design/Method: We incorporated an open response component for an online signals and systems multiple-choice test to capture written explanations of students’ selections. The effectiveness of an automated approach for identifying and assessing student conceptual understanding was evaluated by comparing results of lexical analysis software packages (Leximancer and NVivo) to expert human analysis of student responses. In order to understand and delineate the process for effectively analysing text provided by students, the researchers evaluated strengths and weakness for both the human and automated approaches. Results: Human and automated analyses revealed both correct and incorrect associations for certain conceptual areas. For some questions, that were not anticipated or included in the distractor selections, showing how multiple-choice questions alone fail to capture the comprehensive picture of student understanding. The comparison of textual analysis methods revealed the capability of automated lexical analysis software to assist in the identification of concepts and their relationships for large textual data sets. We also identified several challenges to using automated analysis as well as the manual and computer-assisted analysis. Conclusions: This study highlighted the usefulness incorporating and analysing students’ reasoning or explanations in understanding how students think about certain conceptual ideas. The ultimate value of automating the evaluation of written explanations is that it can be applied more frequently and at various stages of instruction to formatively evaluate conceptual understanding and engage students in reflective

Young Children and the Environment : Early Education for Sustainability [2nd Edition]

This book is a practical resource that illustrates the difference that early childhood educators can make by working with children, their families and the wider community to tackle one of the most important contemporary issues facing the world today: sustainable living. This second edition has been substantially revised and updated, with a new section exploring sustainability education in a variety of global contexts. Researched and written by authors recognised as leaders in their own countries, the chapters in this new section provide readers with international resources and perspectives to further their teaching about early childhood education for sustainability.

User preferences for text message-delivered skin cancer prevention and early detection

Evidence is needed for the acceptability and user preferences of receiving skin cancer-related text messages. We prepared 27 questions to evaluate attitudes, satisfaction with program characteristics such as timing and spacing, and overall satisfaction with the Healthy Text program in young adults. Within this randomised controlled trial (age 18-42 years), 546 participants were assigned to one of three Healthy Text message groups; sun protection, skin self-examination, or attention-control. Over a 12-month period, 21 behaviour-specific text messages were sent to each group. Participants’ preferences were compared between the two interventions and control group at the 12-month follow-up telephone interview. In all three groups, participants reported the messages were easy to understand (98%), provided good suggestions or ideas (88%), and were encouraging (86%) and informative (85%) with little difference between the groups. The timing of the texts was received positively (92%); however, some suggestions for frequency or time of day the messages were received from 8% of participants. Participants in the two intervention groups found their messages more informative, and triggering behaviour change compared to control. Text messages about skin cancer prevention and early detection are novel and acceptable to induce behaviour change in young adults.

Relevance feature discovery for text mining

It is a big challenge to guarantee the quality of discovered relevance features in text documents for describing user preferences because of large scale terms and data patterns. Most existing popular text mining and classification methods have adopted term-based approaches. However, they have all suffered from the problems of polysemy and synonymy. Over the years, there has been often held the hypothesis that pattern-based methods should perform better than term-based ones in describing user preferences; yet, how to effectively use large scale patterns remains a hard problem in text mining. To make a breakthrough in this challenging issue, this paper presents an innovative model for relevance feature discovery. It discovers both positive and negative patterns in text documents as higher level features and deploys them over low-level features (terms). It also classifies terms into categories and updates term weights based on their specificity and their distributions in patterns. Substantial experiments using this model on RCV1, TREC topics and Reuters-21578 show that the proposed model significantly outperforms both the state-of-the-art term-based methods and the pattern based methods.

Analysing reflective text for learning analytics : an approach using anomaly recontextualisation

Reflective writing is an important learning task to help foster reflective practice, but even when assessed it is rarely analysed or critically reviewed due to its subjective and affective nature. We propose a process for capturing subjective and affective analytics based on the identification and recontextualisation of anomalous features within reflective text. We evaluate 2 human supervised trials of the process, and so demonstrate the potential for an automated Anomaly Recontextualisation process for Learning Analytics.