Visions of the virtual : the role of computers and artificial intelligence in a selection of Australian young adult fiction

Advances in computer technology over the last twenty years have resulted in a number of different visions of what it means to be real, and of what it means to be human. This paper will explore how computers and artificial intelligence are used as major themes in four Australian novels written for young adults: Gillian Rubinstein’s Space Demons trilogy — comprising Space Demons, Skymaze and Shinkei — and Michael Pryor’s The Mask of Caliban. In so doing, the paper will look at how these texts explore the relationship between increasingly developed technology and visions of a better world. By comparing a series of oppositions that occur in all four books, this paper will look at how the theme of technology is used to privilege particular values and to advocate particular beliefs.

Client identification and money laundering control : perspectives on the Financial Intelligence Centre Act 38 of 2001

The Financial Intelligence Centre Act 38 of 2001 (FICA) compels certain persons and institutions (defined as "accountable institutions'') to identify and verify the identity of a new client before any transaction may be concluded or any business relationship is established.1 Accountable institutions are listed in schedule ¹ to FICA and include banks, brokers, financial advisers, insurance companies, attorneys and estate agents. This duty to identify new clients came into effect on 30 June 2003. However, FICA also requires a similar procedure to be followed in respect of all current clients. Current clients are those with whom an accountable institution had business relationships on 30 June 2003.² After 30 June 2004 an institution may not conclude a transaction in the course of its business relationship with an unidentified current client, until it has established and verified that client's identity as prescribed. An institution that concludes any transaction in contravention of this prohibition, commits an offence and is liable to a fine not exceeding R10 million or to imprisonment of up to 15 years.³

The majority of accountable institutions and their clients failed to meet the June 2004 current client identification deadline.4 This failure posed serious economic and legal risks. With a few days to spare, the minister of finance granted a partial and temporary exemption in respect of these requirements. This article explores the statutory scheme for identification and re-identification of clients and some of the practical problems that were encountered. The June 2004 exemptions from these requirements are also considered and proposals for law reform are made.

The discussion of the FICA identification scheme necessitates the following brief overview of the international and South African money laundering control framework.

1 s 21(1) of FICA.
2 s 21(2) of FICA. See also s 82(2)(b).
3 s 46(2) of FICA read with s 68(1) of FICA.

Does military expenditure determine Fiji's exploding debt levels?

Fiji's total debt stands at 65% of GDP. Domestic debt constitutes 55% of GDP. The goal of this paper is to investigate whether military expenditure has contributed to Fiji's exploding debt levels over the period 1970 to 2005. Our empirical analysis, conducted within a cointegration and vector error-correction framework, suggests that, in the long-run, military expenditure has had a statistically significant positive impact on both external debt and domestic debt, while income has had a statistically significant positive impact on domestic debt and a statistically significant negative impact on external debt. We explain the reasons behind this finding and draw some policy implications.

Identifying the underlying dimensions of teachers' emotional intelligence

Within the area of educational research that has its focus on individual differences, the concept of emotional intelligence and its study in relation to the professional lives of teachers has raised considerable interest over the past decade. This article reports on data from a new measure of emotional intelligence specifically related to situations in the teaching environment. The four underlying dimensions that are identified in this study appear to be a more relevant way of characterising emotional intelligence for those in the teaching profession than other conceptualisations of emotional intelligence. The article concludes with an examination of the contention that emotional intelligence is strongly connected to effective teaching practice

Leaders and their teams : learning to improve performance with emotional intelligence and using choice theory

Looks at the relationship between emotional intelligence and choice theory in the work world, with particular emphasis on the implications on health and productivity. Most of us have a managing or leading role of some sort, whether at home, in community life, or at work. Also, as a professional, one can be leading through professional expertise and not necessarily because of one's place in the organizational hierarchy. There is an increasing awareness of the role of leadership and team development in organizational development, for example in health care where change is needed to manage the chronic disease burden (Dunbar et al., 2007) and utilizing and retaining a dwindling workforce (Schoo, Stagnitti, Mercer, & Dunbar, 2005). This is forcing leaders and their teams to work as smart as they can with resources that are available to them. Positive leadership has been associated with outcomes that include happy relationships, teamwork, learning, recognition, staff retention, and health and wellbeing. There is evidence that emotionally intelligent leaders in workplaces are able to bring about these positive out- comes because they are attuned to the emotions that move people around them (Goleman, Boyatzis, & McKee, 2002). In this sense, emotion can be defined as aroused energy that takes a direction (Hunt, 2004a) (Latin: e = from, movere = to move). Valerie Hunt regards emotion as the metronome of life (Hunt, 2004b). Although emotion can be a feeling state (e.g., fear, anger, joy, hate or sorrow) associated with action, its energy is, according to Hunt, directed to action, to behave(Hunt, 2004b). As mentioned in an earlier publication (Schoo, 2005), Pert (Flowers, Grubin, & Meryman-Brunner, 1993) regards emotions as a bridge that connects the mental and physical realities (p.187), and sees neuropeptides as the physical representations of these emotions. Negative thoughts and emotions such as excitement and anger have been found to increase gut motility, cancer risk and arterial plaque formation which can lead to a heart infarct (Pert, 1997), whereas positive emotions seem to do the opposite.

Toward a synergy between simulation and knowledge management for business intelligence

The adoption of simulation as a powerful enabling method for knowledge management is hampered by the relatively high cost of model construction and maintenance. A two-step procedure, based on a divide and conquer strategy, is proposed in this paper. First, a simulation program is partitioned based on a reinterpretation of the model-view-controller architecture. Individual parts are then connected, in terms of abstraction, to guard against possible changes that resulted from shifting user requirements. We explore the applicability of these design principles through a detailed discussion of an industry case study. The knowledge-based perspective guides the design of architecture to accommodate the need of emulation without compromising the integrity of the simulation program. The synergy between simulation and a knowledge management perspective, as shown in the case study, has the potential to achieve the objectives of rapid development of models, with low maintenance cost. This could, in turn, facilitate an extension of the use of simulation in the knowledge management domain.

A low-cost intelligent gas sensing device for military applications

The field of electronic noses and gas sensing has been developing rapidly since the introduction of the silicon based sensors. There are numerous systems that can detect and indicate the level of a specific gas. We introduce here a system that is low power, small and cheap enough to be used in mobile robotic platforms while still being accurate and reliable enough for confident use. The design is based around a small circuit board mounted in a plastic case with holes to allow the sensors to protrude through the top and allow the natural flow of gas evenly across them. The main control board consists of a microcontroller PCB with surface mount components for low cost and power consumption. The firmware of the device is based on an algorithm that uses an Artificial Neural Network (ANN) which receives input from an array of gas sensors. The various sensors feeding the ANN allow the microcontroller to determine the gas type and quantity. The Testing of the device involves the training of the ANN with a number of different target gases to determine the weightings for the ANN. Accuracy and reliability of the ANN is validated through testing in a specific gas filled environment.