Queensland diabetic foot hospitalisations (2005-10) : in what state is our foot hospital problem?

Background Diabetes foot complications are a leading cause of overall avoidable hospital admissions. Since 2006, the Queensland Diabetes Clinical Network has implemented programs aimed at reducing diabetes-related hospitalisation. The aim of this retrospective observational study was to determine the incidence of diabetes foot-related hospital admissions in Queensland from 2005 to 2010. Methods Data on all primary diabetes foot-related admissions in Queensland from 2005-2010 was obtained using diabetes foot-related ICD-10-AM (hospital discharge) codes. Queensland diabetes foot-related admission incidences were calculated using general population data from the Australian Bureau of Statistics. Furthermore, diabetes foot-related sub-group admissions were analysed. Chi-squared tests were used to assess changes in admissions over time. Results Overall, 24,917 diabetes foot-related admissions occurred, resulting in the use of 260,085 bed days or 1.4% of all available Queensland hospital bed days (18,352,152). The primary reasons for these admissions were foot ulcers (49.8%), cellulitis (20.7%), peripheral vascular disease (17.8%) and osteomyelitis (3.8%). The diabetes foot-related admission incidence among the general population (per 100,000) reduced by 22% (103.0 in 2005, to 80.7 in 2010, p < 0.001); bed days decreased by 18% (1,099 to 904, p < 0.001). Conclusion Diabetes foot complications appear to be the primary reason for 1.4 out of every 100 hospital beds used in Queensland. There has been a significant reduction in the incidence of diabetes foot-related admissions in Queensland between 2005 and 2010. This decrease has coincided with a corresponding decrease in amputations and the implementation of several diabetes foot clinical programs throughout Queensland.

Flag state responsibility for maritime terrorism

Modern international shipping is largely a flag state-based system. Only the flag state has complete authority over the vessels that fly its flag, and as a result, other states’ jurisdiction over these vessels is very limited. Against this backdrop, this article examines the flag state’s responsibility for maritime terrorism, a major security issue and vulnerability in the global supply chain. It is not an exaggeration that the global community’s repeated statements regarding the illegality of terrorism have created a customary international law obligation for states to take all possible steps for the prevention of terrorism. This article argues that providing flags to suspicious entities in an obscure registration system is not compatible with this obligation.

The Australian welfare state : who benefits now?

This text outlines the links between Australian's conceptions about welfare and the redistributive outcomes of the welfare state, canvassing theoretical explanations about why many Australians develop and maintain misconceptions of the broad disyributive mechanisms of the Ayustralian welfare state and hold negative attitudes towards its social welfare element. The book is an indispensable resource for students undertaking studies in sociology, social policy, public administrion and social work.

Work and the Welfare State : Street-Level Organizations and Workfare Politics

Work and the Welfare State places street-level organizations at the analytic center of welfare state politics, policy and management. This volume offers a critical examination of efforts to change the welfare state to a workfare state by looking at on-the-ground issues in six countries: the United States, United Kingdom, Australia, Denmark, Germany and the Netherlands.

Traffic state estimation from partial Bluetooth and volume observations : case study in the Brisbane metropolitan area

The application of the Bluetooth (BT) technology to transportation has been enabling researchers to make accurate travel time observations, in freeway and arterial roads. The Bluetooth traffic data are generally incomplete, for they only relate to those vehicles that are equipped with Bluetooth devices, and that are detected by the Bluetooth sensors of the road network. The fraction of detected vehicles versus the total number of transiting vehicles is often referred to as Bluetooth Penetration Rate (BTPR). The aim of this study is to precisely define the spatio-temporal relationship between the quantities that become available through the partial, noisy BT observations; and the hidden variables that describe the actual dynamics of vehicular traffic. To do so, we propose to incorporate a multi- class traffic model into a Sequential Montecarlo Estimation algorithm. Our framework has been applied for the empirical travel time investigations into the Brisbane Metropolitan region.

A state-wide systems approach to embedding the learning and teaching of sustainability in teacher education

Education systems have a key role to play in preparing future citizens to engage in sustainable living practices and help create a more sustainable world. Many schools throughout Australia have begun to develop whole-school approaches to sustainability education that are supported by national and state policies and curriculum frameworks. Preservice teacher education, however, lags behind in building the capacity of new teachers to initiate and implement such approaches (ARIES, 2010). This proposed project seeks to develop a state-wide systems approach to embedding Education for Sustainability (EfS) in teacher education that is aligned with the Australian National Curriculum and the aspirations for EfS in the Melbourne Declaration and other national documents. Representatives from all teacher education institutions and other agents of change in the Queensland education system will be engaged in a multilevel systems approach, involving collaboration at the state, institutional and course levels, to develop curriculum practices that reflect a shared vision of EfS.

Threat vigilance in child witnesses of domestic violence: a pilot study utilizing the ambiguous situations paradigm

Research has found that children exposed to family violence exhibit higher rates of maladjustment. We review relevant literature on family violence, marital conflict, and cognitive factors implicated in child behaviour problems. A bias toward perceiving threat in ambiguous contexts has been identified as one factor mediating both aggressive and anxious behaviour disorders. We conducted a study utilizing the ambiguous situations paradigm to assess whether children exposed to violent spousal conflict were more likely than children not exposed to violence (divided into children with an externalizing behaviour disorder and non-clinic children) to perceive threat in two classes of ambiguous situations: Peer and Inter-Parental. The results indicated that children exposed to violent spousal conflict perceived more threat in parental situations than either of the other two groups. A number of considerations were taken into account given the exploratory nature of the study, particularly sample limitations. We conclude with suggestions for improvements to the research design and the further relevance of exploring cognitive factors involved in the adjustment of children from backgrounds of violence.

The Current State of BPM Education in Australia : Teaching and Research Challenges

As business processes, services and relationships, are now recognized as key organizational assets, the demand for the so-called boundaryspanning roles and process-aware professionals is continuing to grow. The world-wide demand for these roles will continue to increase, fueled by the unprecedented interest in Business Process Management (BPM) and the other emerging cross-functional disciplines. This, in turn, creates new opportunities, as well as some unforeseeable challenges for BPM education, both in university and industry. This paper reports on an analysis of the current BPM offerings of Australian universities. It presents a critical review of what is taught and how it is taught, and identifies a series of gaps and concerns. Explanations and recommendations are proposed and a call made for BPM educators worldwide, for urgent action.

Masculinity, sexuality and hate-motivated violence : the case of Darren

In this paper I use the case study of Darren, derived from two interviews in a research study of racism in the city of Stoke, UK (Gadd, Dixon and Jefferson 2005; Gadd and Dixon 2011), to explore how best to approach the topic of hate-motivated violence. This entails discussing the relationships among racism (the original object of study), hate-motivated violence (the more general term) and prejudices of various sorts. Because that discussion, I argue, justifies a psychoanalytic starting point, and since violence has become, almost quintessentially, masculine, this leads on to an exploration of what can be learnt from psychoanalysis about the relations among sexuality, masculinity, hatred and violence. This involves brief discussions of some key psychoanalytic terms, but only what is needed to enable sense to be made of my chosen case, which I shall then interrogate using these psychoanalytic ideas, focused on understanding the origins and nature of Darren’s hatred.

Underlying beliefs influencing Vietnamese nurses and doctors in screening for victims of domestic violence: An exploratory study

Many health professionals in Vietnam have limited knowledge and experience in coordinating care for victims of Domestic Violence (DV). This qualitative study aimed to elicit the beliefs of nurses and doctors that are influencing the care of victims of DV. Data were collected by semistructured interviews with nineteen nurses and doctors. Data were analyzed by content analysis and organized by three main themes; behavioral beliefs, normative beliefs and control beliefs. The outcomes of this study will inform the development of intervention strategies that will enable health professionals to better respond to and manage care for women who experience domestic violence in Vietnam.

State Estimation in Smart Power Grids

In this chapter, the role of State Estimation (SE) in smart power grids is presented. The trend of SE error with respect to the increasing of the smart grids implementation investigated. The observability analysis as a prior task of SE is demonstrated and an analytical method to consider the impedance values of the branches is developed and discussed by examples. Since most principles of smart power grids are appropriate to distribution networks, the Distribution SE (DSE)considering load correlation is argued and illustrated by an example. The main features of smart grid SE, which is here named as “Smart Distributed SE” (SDSE), are discussed. Some characteristics of proposed SDES are distributed, hybrid, multi-micro grid and islanding support, Harmonic State Estimation (HSE), observability analysis and restore, error processing, and network parameter estimation. Distribution HSE (DHSE) and meter placement for SDSE are also presented.

Distribution harmonic state estimation based on a modified PSO considering parameters uncertainty

This paper presents a new algorithm based on a Modified Particle Swarm Optimization (MPSO) to estimate the harmonic state variables in a distribution networks. The proposed algorithm performs the estimation for both amplitude and phase of each injection harmonic currents by minimizing the error between the measured values from Phasor Measurement Units (PMUs) and the values computed from the estimated parameters during the estimation process. The proposed algorithm can take into account the uncertainty of the harmonic pseudo measurement and the tolerance in the line impedances of the network as well as the uncertainty of the Distributed Generators (DGs) such as Wind Turbines (WTs). The main features of the proposed MPSO algorithm are usage of a primary and secondary PSO loop and applying the mutation function. The simulation results on 34-bus IEEE radial and a 70-bus realistic radial test networks are presented. The results demonstrate that the speed and the accuracy of the proposed Distribution Harmonic State Estimation (DHSE) algorithm are very excellent compared to the algorithms such as Weight Least Square (WLS), Genetic Algorithm (GA), original PSO, and Honey Bees Mating Optimization (HBMO).