Predictors and responses to the growth in physical violence during adolescence : a comparison of students in Washington State and Victoria, Australia

This study investigates patterns in violence over 3 time points in early to midadolescence in 2 statewide representative samples of youth, one in Washington State, USA, and the other in Victoria, Australia. Comparable data collection methods in both states were used to cross-nationally compare patterns of violence, risk factors, and responses to violence (school suspensions and arrests) in 2 policy contexts. Risk factors include early use of alcohol, binge drinking, involvement with antisocial peers, family conflict, poor family management, sensation seeking, and bully victimization. These are modeled as correlates of initial violence and predictors of change in violence over a 3-year period, from ages 12–15, for participating youth. Results suggest that patterns and predictors of violence are mostly similar in the 2 states. Initial levels of violence (age 13) and change over time in violence were associated in both states with more youth school suspensions and more police arrests in Grade 9. Some cross-national differences were also shown. For example, correlations of violence with gender and violence with binge drinking were stronger in Victoria, whereas correlations of violence with early use of alcohol and with antisocial peer involvement were stronger in Washington State. Antisocial peer involvement and family conflict were significant predictors of a gradual increase in violence from Grades 7–9 for youth in Victoria only. Implications are discussed with attention to prevention and intervention efforts.

Rethinking religion : transforming cultures of violence to cultures of peace

Humanity has always been preoccupied with the search for peace and happiness. Many people turn to and rely on religion to provide them with a means of understanding the human condition and as a methodology of how to find peace within themselves and work towards the creation of peace on earth. Religions however, while providing many valuable tools for peacebuilding, can also contribute to perpetuating cultures of violence.

Distant relations : limits to relational contracting in domestic violence programmes

Purpose – The purpose of this paper is to assess the applicability of relational contract theory in situations where government departments contract with non-government welfare organisations to deliver human service programmes. Its limits are highlighted by an assessment of programmes for domestically violent men that epitomise “management of incomplete contracts” central to the theory.

Design/methodology/approach – The paper is based on an evaluation of contracted-out programmes for perpetrators of domestic violence in Australia that set out to compare and contrast distinct models of service delivery by documenting programme logic, service delivery effectiveness and effects on programme participants. It reflects on the difficulties of monitoring such programmes and considers the implications of this for contracting theory and for human service practice.

Findings – In contrast to critiques of contracting-out in a neo-liberal environment that emphasise how accountability and reporting requirements limit the autonomy of contracted agencies, this paper highlights considerable variation in how programmes were managed and delivered despite standardised service delivery contracts developed by the government department funding the programmes. This leads to a consideration of “incomplete contracts” where service delivery outcomes are hard to measure or there is limited knowledge of the contracted agencies by the contracting government department.

Originality/value – The paper highlights a situation in which the recommendations of relational contracting theory can exacerbate the difficulties of quality assurance rather than minimise them. It then argues a need for workforce development in the government departments and the contracted agencies, to enable a nuanced monitoring of the programmes' service delivery and promotion of quality assurance processes.

Symbolic representation and distributed matching strategies for schematics

This paper describes object-centered symbolic representation and distributed matching strategies of 3D objects in a schematic form which occur in engineering drawings and maps. The object-centered representation has a hierarchical structure and is constructed from symbolic representations of schematics. With this representation, two independent schematics representing the same object can be matched. We also consider matching strategies using distributed algorithms. The object recognition is carried out with two matching methods: (1) matching between an object model and observed data at the lowest level of the hierarchy, and (2) constraints propagation. The first is carried out with symbolic Hopfield-type neural networks and the second is achieved via hierarchical winner-takes-all algorithms

Mental health-related risk factors for violence : using the evidence to guide mental health triage decision making

Mental health clinicians working in emergency crisis assessment teams or mental health triage roles are required to make rapid and accurate risk assessments. The assessment of violence risk at triage is particularly pertinent to the early identification and prevention of patient violence, and to enhancing the safety of clinical staff and the general public. To date, the evidence base for mental health triage violence risk assessment has been minimal. This study aimed to address this evidence gap by identifying best available evidence for mental health-related risk factors for patientinitiated violence.We conducted a systematic review based on the National Health and Medical Research Council of Australia’s methodology for systematic reviews. A total of 6847 studies were retrieved, of which 326 studies met the study inclusion criteria. Of these studies, 277 met inclusion criteria but failed the quality appraisal process, thus a total of 49 studies were included in the final review. The risk factors that achieved the highest evidence grading were predominantly related to dynamic clinical factors immediately observable in the patient’s general appearance, behaviour and speech. These factors included hostility/anger, agitation, thought disturbance, positive symptoms of schizophrenia, suspiciousness and irritability.

Indian student concerns about violence : exploring student perceptions

While considerable attention has been given to the spate of attacks on Indian students in Australia in 2009 and 2010, less attention has been paid to how the students who were at the centre of the furore perceived the violence. In this paper we explore the perceptions of Indian postgraduate and undergraduate male students studying in Melbourne, Australia, based on data gathered in focus groups. Analysis revealed four broad themes in students' explanations for the attacks: race hate versus opportunism, intercultural issues, systemic ineffectiveness, and media reporting. Students' perceptions of the reasons for the attacks were divided in some areas and aligned in others. There was divergence among students about whether the attacks were race hate crime or opportunistic, and about intercultural issues. Students' perceptions were aligned on issues of systemic ineffectiveness and media reporting. In the current context of decreased international enrolments from Indian students, in which we seek to better understand them, the findings provide implications for international student policy and planning priorities.

The violence of gender : Australian policy responses to violence

This thesis engages in critical policy analysis to examine the ways in which violence is problematised in social policy. The extent to which (policy) constructions of violence reflect and reinforce gender(ed) discourses, as manifest in the naming of some violence(s) as ‘problem violences’ and not others, represents a key finding of this thesis.

Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant

Artificial neural networks have a good potential to be employed for fault diagnosis and condition monitoring problems in complex processes. In this paper, the applicability of the fuzzy ARTMAP (FAM) neural network as an intelligent learning system for fault detection and diagnosis in a power generation plant is described. The process under scrutiny is the circulating water (CW) system, with specific attention to the conditions of heat transfer and tube blockage in the CW system. A series of experiments has been conducted systematically to investigate the effectiveness of FAM in fault detection and diagnosis tasks. In addition, a set of domain rules has been extracted from the trained FAM network so that its predictions can be explained and justified. The outcomes demonstrate the benefits of employing FAM as an intelligent fault detection and diagnosis tool with an explanatory capability for monitoring and diagnosing complex processes in power generation plants.