Information skills and the distance education student : an exploratory study into the approaches of Southern Cross University distance educators to the information needs of external students

This study unites the concepts of self-directed learning and information literacy in the external higher education environment. It asserts that many attempts by librarians at building better working relationships with distance educators have failed because the approaches of distance educators to the information needs of students are not adequately addressed. This exploratory and qualitatively based study examines the approaches of ten distance educators at Southern Cross University (SCU) to the information needs of their external students. It then makes recommendations based on these interviews which aim to improve relationships and co-operation between libraries and distance educators and to promote self-directed learning approaches by external students.

Patient assessment of medication information leaflets and validation of the Evaluative Linguistic Framework (ELF)

Objective : To obtain patient feedback about the structure and quality of medication information leaflets and validate the usefulness of the Evaluative Linguistic Framework (ELF) for improving written communication with patients.
Methods : Triangulated feedback about a set of rheumatoid arthritis (RA) medication leaflets, some developed with knowledge of the ELF, was obtained from 27 people with RA from interviews, focus group discussion and self-administered questionnaires. The principal elements of the framework were investigated: overall generic structure and functions of each stage, interpersonal relationship between writer and reader, technicality of language and density of information.
Results : Participant assessments of the leaflets aligned with the framework in terms of what constituted a good leaflet. While the main purpose of the leaflets was identified as being information provision, participants also wanted clear instructions, benefits to be highlighted and side effects to be comprehensively listed. For comprehensiveness and user-friendliness, leaflets developed with guidance of the ELF were consistently preferred.
Conclusion : According to people with RA, leaflets generated from a linguistic framework are clearer and more effective in communicating information about medications.
Practice Implications : The ELF is a user-friendly, structured analytic system that can assist with the development of effective high quality patient information materials.

The relationship between human beings and technological systems

By combining the ontological approaches to technology of Dessauer, Ortega y Gasset and Heidegger, with the psychology of Jung, the integrated and psycho-constructivist approach to technology demonstrates that the relationship between human beings and technological systems is a symptomatic, symbiotic and synchronistic factor of human well-being and adaption.

Spherical harmonics and distance transform for image representation and retrieval

In this paper, we have proposed a method for 2D image retrieval based on object shapes. The method relies on transforming the 2D images into 3D space based on distance transform. Spherical harmonics are obtained for the 3D data and used as descriptors for the underlying 2D images. The proposed method is compared against two existing methods which use spherical harmonics for shape based retrieval of images. MPEG-7 Still Images Content Set is used for performing experiments; this dataset consists of 3621 still images. Experimental results show that the performance of the proposed descriptors is significantly better than other methods in the same category.

Clustering based multi-label classification for image annotation and retrieval

This paper presents a novel multi-label classification framework for domains with large numbers of labels. Automatic image annotation is such a domain, as the available semantic concepts are typically hundreds. The proposed framework comprises an initial clustering phase that breaks the original training set into several disjoint clusters of data. It then trains a multi-label classifier from the data of each cluster. Given a new test instance, the framework first finds the nearest cluster and then applies the corresponding model. Empirical results using two clustering algorithms, four multi-label classification algorithms and three image annotation data sets suggest that the proposed approach can improve the performance and reduce the training time of standard multi-label classification algorithms, particularly in the case of large number of labels.

Users' information requirements and narrative reporting : the case of Iranian companies

This paper investigates whether the narrative section of Iranian companies' annual reports satisfies the information requirements of financial analysts employed by institutional investors. Taking a group of stakeholders (i.e. financial analysts) as the sample, a questionnaire survey was conducted to identify their top three information needs from the narrative sections of company annual reports in each of three information categories: Present, Analytical and Prospective. Following this survey, a checklist was prepared to analyse whether Iranian companies are disclosing this information required by financial analysts. Overall, the results partially support stakeholder theory as there is a general lack of information flow on the part of Iranian listed companies in meeting their stakeholders' information needs.

Empirical study of multi-label classification methods for image annotation and retrieval

This paper presents an empirical study of multi-label classification methods, and gives suggestions for multi-label classification that are effective for automatic image annotation applications. The study shows that triple random ensemble multi-label classification algorithm (TREMLC) outperforms among its counterparts, especially on scene image dataset. Multi-label k-nearest neighbor (ML-kNN) and binary relevance (BR) learning algorithms perform well on Corel image dataset. Based on the overall evaluation results, examples are given to show label prediction performance for the algorithms using selected image examples. This provides an indication of the suitability of different multi-label classification methods for automatic image annotation under different problem settings.

Advancing architecture ecologies : energy principles in nature and urban systems

The search for a coherent approach to optimising the delivery of sustainable development has moved from rhetoric to reality, shaped by international drivers such as the UN Millennium Development Goal and the UN 'Decade of Education for sustainable development 2005- 2014'. Emphasis has been recently placed by Governmental bodies on creativity and innovation as a way to promote and sustain the social, cultural and economic well-being. This has led to, amongst other things, the development of a series of new initiatives to promote sustainable development. There is still a lack of understanding of the impacts of sustainability on architecture and their associated and interrelated ecologies because, at least in part, there is no significant joined up thinking regarding the implications of sustainability across the whole design, implementation and operation processes. There is a considerable challenge to ensure integration, cross-fertilisation and dissemination to provide meaningful outputs from the vast array of ecological systems with their differing structures. This paper explores the processes rather than products of ecological systems and possibilities for a credible integral system that guide sustainable development and advance architecture ecologies. The paper traces back the roots of the divorce between architecture profession and technology and highlights the importance of reaching back to the true meanings of Techne as key to develop integral sustainable systems. The paper underlines the energy principles that construct ecological principles and provide explanation of how such systems can be interpreted in the built environment. Enriching ecological culture is not a physical development or a large expensive projects but rather in a coherent and focused efforts by a group of professionals, academics, and practitioners with multi disciplinary talents to build a complex and multi facets of integral systems and ideas.

Indigenous research ethics : new modes of information gathering and storytelling in journalism

Veteran Indigenous affairs reporter Tony Koch emphasises the importance of respect, trust and listening in his journalism practice. This paper draws on Koch’s insights as well as recent scholarship on the policies and value of listening to support the proposal that Indigenous research ethics provide a concrete framework for improving media representations of Indigenous people and their access to news media. The university ethics process cannot replicate the understanding Koch has gained from 25 years of interacting with Indigenous people and their communities. However, this paper argues it provides a pathway along which journalism academics and their students can learn to engage with Indigenous people, navigate Indigenous public spheres and produce high-quality reporting that reflects Indigenous people’s aspirations. Journalists within the academy, who are not subject to the commercial or organizational pressures of the news industry, are especially well placed to collaborate with Indigenous people to deliver new ways of conducting research and telling stories that privilege their perspectives. Koch’s newsgathering practice demonstrates that many principals of this progressive approach are also achievable in mainstream journalism.

Nutrition promotion : theories and methods, systems and settings

An introduction to approaches and techniques used to influence food behaviours and improve nutrition and health.

Conceptual representation for multimedia information

Multimedia information is now routinely available in the forms of text, pictures, animation and sound. Although text objects are relatively easy to deal with (in terms of information search and retrieval), other information bearing objects (such as sound, images, animation) are more difficult to index. Our research is aimed at developing better ways of representing multimedia objects by using a conceptual representation based on Schank's conceptual dependencies. Moreover, the representation allows for users' individual interpretations to be embedded in the system. This will alleviate the problems associated with traditional semantic networks by allowing for coexistence of multiple views of the same information. The viability of the approach is tested, and the preliminary results reported.