Ethical behaviour: the means for creating and maintaining better reputations in arts organisations

Arts organisations, unsure of the level of continued government funding available and confronted with the need ever to improve, are seeking new ideas upon which they can focus. At a time when leadership and governance in arts organisations have changed in line with cultural expectations, how is their ethical stance assessed? How does their ethical stance impact on reputation? The challenge to build a good reputation starts at the top of the organisation; however, traditionally, one type of arts organisation, art museums, has focused on the activities level. In an age of globalisation, economic restructuring and technological change, museums therefore may be seen as a contradiction. Traditionally seen as temples for the muses, today’s museums are being challenged to be ethical for society and to build their reputation. As a solution, proposes a cooperative model of cultural organisational ethics that attempts to provide a framework by which arts organisations can put in place ethical artefacts that enhance organisational reputation, rather than detract from it.

Dividend forecasts and dividend payments of initial public offerings-when zero means zero and no comment most likely also means zero

Managers often try to forecast dividends because as Brown et al. (2002)  suggest, dividends have cash flow implications for investors and are important signalling devices. This study analyses the dividend forecasts in the prospectuses of initial public offerings (IPOs) in Australia over the period 1994 to 1999. While many companies forecast dividends, many make no dividend forecast at all and some forecast no (or zero) dividends for the forthcoming year. This paper seeks to determine if no forecast at all should present a different signal to investors than a zero dividend forecast. It is found that those that do not forecast a dividend, by and large, do not pay a dividend. It is also found that those that forecast a zero dividend, true to their forecast, pay no dividend.

An analysis of the environment as a means of assessing training needs in the Insurance industry in Australia

In the five years leading up to 2002 there were many significant changes in
the insurance industry in Australia that brought about a range of training
needs. These training needs arose from matters as diverse as mergers, increased competition, corporate failures, and legislative changes. This study includes findings from a survey of the insurance industry in Australia in the period 2000·2002 asa means of exploring the importance of the environment (marketplace) in predicting aspects of training needs. The findings demonstrate that an environmental analysis approach to training needs analysis can predict the type of training that organisations will subsequently need to provide, and thus has the potential to produce a more accurate assessment of training needs in the future. The findings also have application to more broadly based businesses operating in the financial services sector of the economy

Density based fuzzy c-means clustering of non-convex patterns

We propose a new technique to perform unsupervised data classification (clustering) based on density induced metric and non-smooth optimization. Our goal is to automatically recognize multidimensional clusters of non-convex shape. We present a modification of the fuzzy c-means algorithm, which uses the data induced metric, defined with the help of Delaunay triangulation. We detail computation of the distances in such a metric using graph algorithms. To find optimal positions of cluster prototypes we employ the discrete gradient method of non-smooth optimization. The new clustering method is capable to identify non-convex overlapped d-dimensional clusters.

Discrimination of origin of farmed trout by means of biometrical parameters, fillet chemical composition and flavour volatile compounds

To date it is well known that the quality of farmed trout is affected by diet composition, by feeding regime, by husbandry practices and by rearing conditions and environment. The trout processing industry and the large-scale retail trade, in consideration of the wide variability of trout quality and characteristics, have imposed, or will soon impose, quality criteria for the end product. Moreover, recent food scares and the malpractices of some food producers have increased public requests
for traceability. The aim of the present study was to evaluate the main chemical quality and the biometrical characteristics of rainbow trout produced in three different farms in Italy (two intensive farms, located one on mountain and one on plain, and an extensive farm in which fish fed only on naturally available nutrients) and to establish whether farmed trout
origins could be differentiated by these parameters. Trout farmed in the intensive mountain farm (IMF) showed the highest crude lipid content in the fillets and the fatty acids of their fillets were characterized by the highest percentage of MUFA. Trout farmed in the intensive plain farm (IPF) were characterized by low dressing percentage, and the lipid of their fillets
was rich in n-6 fatty acids. Trout stocked for the last year of their life in the extensive farm (EF) were leaner both in the carcass and in the fillets. The analysis of flavor volatile compounds showed some differences in the bouquet design, particularly differences in the amounts of n-3 and n-6 derivates volatile aldehydes and alcohols. All data significantly different
(P<0.05) were subjected to Linear Discriminant Analysis (LDA) and 8 variables were chosen to create two discriminant equations generating a strong prediction model for classification of farmed trout respective to their origins.

Fuzzy c-means density based clustering using data induced metric

We propose a new data induced metric to perform un supervised data classification (clustering). Our goal is to automatically recognize clusters of non-convex shape. We present a new version of fuzzy c-means al gorithm, based on the data induced metric, which is capable to identify non-convex d-dimensional clusters.

Identification of moving obstacles with pyramidal Lucas Kanade optical flow and k means clustering

This paper describes the methodology for identifying moving obstacles by obtaining a reliable and a sparse optical flow from image sequences. Given a sequence of images, basically we can detect two-types of on road vehicles, vehicles traveling in the opposite direction and vehicles traveling in the same direction. For both types, distinct feature points can be detected by Shi and Tomasi corner detector algorithm. Then pyramidal Lucas Kanade method for optical flow calculation is used to match the sparse feature set of one frame on the consecutive frame. By applying k means clustering on four component feature vector, which are to be the coordinates of the feature point and the two components of the optical flow, we can easily calculate the centroids of the clusters and the objects can be easily tracked. The vehicles traveling in the opposite direction produce a diverging vector field, while vehicles traveling in the same direction produce a converging vector field

The various means by which organisations control or avoid emotion

The purpose of this paper is to examine, from the perspective of change recipients, how organisational change shapes emotional responses and the typical ways in which organisations respond to emotionality. Through the influence of change strategists' role and role obligations, interpersonal influence, and use and abuse of power, organisations seek to control or avoid emotion. The final section of the paper explores the implications of these issues for management of change and offers change leaders alternative paths to dealing with emotional responses during times of organisational change.

Introductory computer programming as a means for extending spatial and temporal understanding

Should computer programming be taught within schools of architecture?

Incorporating even low-level computer programming within architectural education curricula is a matter of debate but we have found it useful to do so for two reasons: as an introduction or at least a consolidation of the realm of descriptive geometry and in providing an environment for experimenting in morphological time-based change.

Mathematics and descriptive geometry formed a significant proportion of architectural education until the end of the 19th century. This proportion has declined in contemporary curricula, possibly at some cost for despite major advances in automated manufacture, Cartesian measurement is still the principal ‘language’ with which to describe building for construction purposes. When computer programming is used as a platform for instruction in logic and spatial representation, the waning interest in mathematics as a basis for spatial description can be readdressed using a left-field approach. Students gain insights into topology, Cartesian space and morphology through programmatic form finding, as opposed to through direct manipulation.

In this context, it matters to the architect-programmer how the program operates more than what it does. This paper describes an assignment where students are given a figurative conceptual space comprising the three Cartesian axes with a cube at its centre. Six Phileban solids mark the Cartesian axial limits to the space. Any point in this space represents a hybrid of one, two or three transformations from the central cube towards the various Phileban solids. Students are asked to predict the topological and morphological outcomes of the operations. Through programming, they become aware of morphogenesis and hybridisation. Here we articulate the hypothesis above and report on the outcome from a student group, whose work reveals wider learning opportunities for architecture students in computer programming than conventionally assumed.

Shaping the self through psychotherapeutic means : gender and cross-generational perspectives

This paper explores psychotherapeutic themes and modes of thought emerging in interviews with mothers and daughters participating in a cross-generational study of young women 'on the margins'. The focus of the discussion is two-fold. First it discusses current theoretical debates concerning the ascendancy of psychotherapeutic modes of constituting the self, and argues that we require closer attention to the gendered and differentiated ways in which these are registered and articulated. Second, it considers the significance of 'happiness' and the ways in which pairs of mothers and daughters draw upon a repertoire of psychotherapeutic discourses to represent their relation to schooling, self, family, and work. It concludes with some speculative observations about the significance of attending to the psychotherapeutic turn for understanding contemporary femininity, the desire for openness as a measure of a good relationship (and of democracy), and contemporary aspirations of happiness.

Localization of mobile transmitters by means of linear state estimation using RSS measurements

This paper investigates the problem of estimating the location and velocity of a mobile agent using the received signal strength (RSS) measurements. Typical power measurements are inherently nonlinear and in this approach we derive a linear measurement scheme using an analytical measurement conversion technique which can readily be used with RSS measuring sensors. Power measurements are hence used in our robust version of a linear Kalman filter to estimate the dynamic parameters of the moving transmitter.

Multi-tenure reserve networks as a means to facilitate landscape and sub-continental connectivity?

There has been increased focus on establishing landscape and sub-continental scale linkages and corridors in Australia in recent years. These include the WildCountry, Alps to Atherton, Naturelinks and Gondwana Link initiatives. However, there has been little discussion as to what the underlying tenure, land use and protection mechanisms might look like on the ground. The development of Biosphere Reserves and Conservation Management Networks (collectively ‘multi-tenure reserve networks’) which incorporate public and private conservation lands under a variety of tenures and protection mechanisms provides example of how this might be achieved.

Whilst the rhetoric has been strong the amount of actual research on what multi-tenure reserve networks mean in practice has been limited. This paper reflects on the lessons acquired from research into these networks and discusses with this practical insight the difference between rhetoric and performance in this vital area. In particular we discuss some of the ecological, social, governance and legal aspects of these networks. We will also proceed to hypothesise on what the future challenges are for multi-tenure reserve networks and what will be needed to overcome these challenges.