An agent-based approach to modelling virtual enterprises

This paper describes how virtual enterprises (VEs) can be modelled using the AGORA multi-agent architecture, designed for modelling and supporting cooperative work among distributed entities. The model consists of a structure of AGORAs and agents, where AGORAs are facilitators of cooperative work for agents and the agents represent the partners of the VE, the cooperative mechanisms and the service providers. The distributed and goal-oriented nature of the VE provides a strong motivation for the use of agents to model VEs. The main advantages of this approach are that the structure of AGORAs provides a homogeneous modelling environment throughout the life cycle of the VE, traceability of the VE activities and a history of the VE. In addition to these, it is important to point out that, agents being computational entities, the resulting model provides an easy and efficient passage from the model to the computational support that is required by the VE.     

Addressing older women's homelessness: service and housing models

There is limited understanding of the nature and extent of older women's homelessness in Australia and how it can be alleviated. The aim of this project is to ascertain the combination of program and housing models that is likely to be most effective in addressing older women's homelessness. The data comprise interviews and correspondence with 14 Australian and international stakeholders. The findings draw on insight from housing, gerontology and gender studies, and highlight the need to match welfare and housing programs with the diverse life experiences and current needs of older women. Alongside flagship models of practice in housing provision are assumptions within housing and homelessness sectors of what older women need. There is a lack of understanding that most older women in housing crisis have limited knowledge of the welfare sector, and with provision of mainstream housing (and community aged care if needed) will live independently. Traditional homelessness programs and specialised supportive housing, associated with both seniors and homelessness sectors, are appropriate for women who have lived with ongoing disruption and substantive health concerns. Addressing older women's homelessness in Australia requires a range of services and housing responses, with increased attention given to a discourse of housing – affordable, secure housing – rather than continued discourse of homelessness.     

Alcohol Policy and Health Promotion: Rhetoric and Reality

This paper examines the economic and political constraints on the development of Australian policy directed at the prevention of alcohol-related health problems. An analysis is made of recent official statements and enquiries and it is argued that heightened concern about prevention arose in the context of budgetary problems and the need for governments to find ways of containing expenditure in the welfare area. The effectiveness of current efforts is called into question by the real nature of the constraints on health, and of the disparity between prevention rhetoric and policy implementation. It is suggested that government statements of intent to reduce the overall level of alcohol comsumption in the community entail no clear-cut commitment to a particular strategy or set of strategies, and that recent government actions indicate the limited possibilities for the implementation of such a policy. Any policies governments are likely to pursue are unlikely to disrupt major sources of government revenue. Because of the high profile that governments have created for the problem, there is the possibility that the policies that are adopted will be politically expedient in the short-term rather than providing real solutions.     

Institutionalization and Well-Being Among the Elderly*

Iatrogenic, prosthetic, and other perspectives are used to derive hypotheses concerning the roles of perceived health and residence satisfaction in mediating the effects of nursing home institutionalization on subjective well-being. The findings show that perceived health and residence satisfaction are important intervening variables. Institutionalization has a positive effect on well-being, mediated by perceived health, but institutionalization has a stronger negative effect on well-being, mediated by residence satisfaction. Thus, institutionalization's total effect on well-being is negative. Theoretical and policy implications of these findings are discussed.     

Gender differences in sexual attitudes and behaviors: a review of meta-analytic results and large datasets

Gender differences in sexual attitudes and behaviors are typically believed to be large, yet recent evidence suggests that some gender differences in sexuality are much smaller than common knowledge would suggest. This article reviews gender differences in sexual attitudes and behaviors as reported by major meta-analyses and large datasets. In particular, this article reviews gender differences in heterosexual intercourse, masturbation, pornography use, attitudes toward premarital sex, and gender differences in same-gender sexuality. Evolutionary psychology, social cognitive learning theory, and social structural theory are explored as possible explanations for gender differences in sexuality.     

John Maynard Keynes's theories of population and the concept of “optimum”

This review of Keynes' scattered writings on population, which in view of his general importance as an economist might be of interest in itself, is used to highlight the marked shift in demographic theory during the past three decades. The revival of Malthusianism during the 1920's was followed by a contrary emphasis during the following depression decade, and this change in opinion was much more violent than the one in demographic trends that it in part reflected. The current dispute over the relevance of Malthus's theory is marked by a fundamental confusion between a Malthusian and a Keynesian frame of reference. Explicitly or implicitly, various policies are set in accord with what is taken to be the optimum population of a country, but this optimum is not determinable in terms of present theory.     

Drink-Drivers and the Judicial Process: An Analysis that Relates to The Defendant's Perspective

By making ‘meaning’ the focus of study this paper offers a novel way of understanding the legal prosecution of drink-drivers: the analysis relates to the defendant's perspective. Data were derived from observations of hearings in a lower criminal court in Western Australia, and interviews with 66 individuals who appeared on drink-driving charges. The findings emphasise the significance for the accused driver of the pre-court procedures. It is demonstrated that whilst most drink-driver defendants plead guilty because they accept their guilt, their decision on the plea is constrained by their desire to minimize the various costs associated with judicial procedure. The question of whether or not the present system of processing drink-drivers protects the interests of the accused merits further investigation.     

Natural cubic splines for the analysis of Alzheimer's clinical trials

Mixed model repeated measures (MMRM) is the most common analysis approach used in clinical trials for Alzheimer's disease and other progressive diseases measured with continuous outcomes over time. The model treats time as a categorical variable, which allows an unconstrained estimate of the mean for each study visit in each randomized group. Categorizing time in this way can be problematic when assessments occur off-schedule, as including off-schedule visits can induce bias, and excluding them ignores valuable information and violates the intention to treat principle. This problem has been exacerbated by clinical trial visits which have been delayed due to the COVID19 pandemic. As an alternative to MMRM, we propose a constrained longitudinal data analysis with natural cubic splines that treats time as continuous and uses test version effects to model the mean over time. Compared to categorical-time models like MMRM and models that assume a proportional treatment effect, the spline model is shown to be more parsimonious and precise in real clinical trial datasets, and has better power and Type I error in a variety of simulation scenarios.