The identification of sexual and violent motivations in men who assault women : implication for treatment

A qualitative analysis of interview data with 41 rapists determined that five implicit theories (ITs) underlie rapists’ offense supportive beliefs/feelings/motives: (a) dangerous world (DW)—where men have feelings of generalized anger and/or resentment toward others; (b) women are dangerous—where men hold a set of attitudes that are hostile toward women; (c) women as sexual objects (WSO)—where women are seen as primarily sexual objects; (d) male sex drive is uncontrollable—where sexual urges are seen all consuming; (e) entitlement—where men feel that they can do exactly what they want. Consideration of whether DW or WSO ITs were present or absent indicated that three main groups could be identified: Group 1: violently motivated—presence of DW and/or absence of WSO; Group 2: sexually motivated—presence of WSO and/or absence of DW; Group 3: sadistically motivated—presence of DW and WSO. These results are discussed in terms of treatment needs of rapists.

The effects of playing violent video games on adolescents : should parents be quaking in their boots?

Debate regarding the psychological and behavioural effects of playing violent video games has recently led to claims that violent video games increase aggression effects in adolescents, and that this issue has now been settled. However, other researchers have found either no detrimental effects from game playing or even positive (cathartic) effects. In this research we demonstrate that these different conclusions are not mutually exclusive and can be explained by the method of assessment and analytic techniques utilised. We had adolescents play a violent video game (Quake II) and took measurements of anger both before, during and after game play. The results demonstrated that some people increase, some decrease and the majority show no change in anger ratings. Unlike past research, we also demonstrate that these changes are mediated by the player's feelings immediately prior to game play and a labile temperament - one predisposed to aggression - and that these variables predict people's reactions with an average 73% concordance rate.

Time for a change : applying the Good Lives Model of rehabilitation to a high-risk violent offender

In this article we operationalise the theoretical concepts of the Good Lives Model (GLM) of offender rehabilitation by providing a step-by-step framework for assessment, formulation, treatment planning, and monitoring with a high-risk violent offender residing in the community. The case study illustrates how the GLM can be applied to complement and enhance traditional Risk-Management interventions and shows how the GLM's clinical relevance extends from sex offending to broader offending typologies.

Pre- and posttrip factors influencing the visitor experience at a battlefield commemorative event : Gallipoli, a case study

Battlefield tourism is a major component of national and international tourism. This article sets out to provide a holistic understanding of the preevent factors influencing attendance at an event commemorating a famous World War I battle and to follow the cycle through to gain an understanding of what postevent factors influence event satisfaction and how this translates into recommending behavior. The Anzac Day commemorative event at Gallipoli, Turkey, provides the backdrop for this study. A two-step process was used to gather information from Australians partaking in the Gallipoli commemorations in 2007. A preevent questionnaire was distributed to a convenience sample of respondents while they were in transit from Istanbul to Gallipoli for the commemoration. In total, 482 preevent questionnaires were obtained. Step two of this process saw an exit questionnaire administered to a convenience sample of participants on the return journey to Istanbul, resulting in 331 completed postevent questionnaires. The pre- and postevent datasets were separately analyzed using factor analysis and structural equation modeling (SEM) where appropriate. The findings highlight the role of various event attributes, most prominently the ceremonial and experiential aspects of the Anzac Day commemorations, in encouraging visitor satisfaction and further flow-on effects for recommending behavior.

An exploration of the motivation to attend for spectators of the Lexmark Indy 300 champ car event, Gold Coast

The perceptions of spectators (N = 36) at the Lexmark Indy 300 Champ Car event were assessed via qualitative methods to evaluate their internal and external motivations to attend. The most common reason to attend was the atmosphere that the event created, and entertainment. Other reasons included the race, enjoying the company of friends, and group affiliation. The characteristics of the majority of attendees were predominantly male, 26 to 35 years old, from Queensland, who earned around AUD$50,000 to $75,000 per annum. The findings of the study have implications for sport marketers who wish to communicate to these individuals.

Using relationship-building in event profiling for digital forensic investigations

In a forensic investigation, computer profiling is used to capture evidence and to examine events surrounding a crime. A rapid increase in the last few years in the volume of data needing examination has led to an urgent need for automation of profiling. In this paper, we present an efficient, automated event profiling approach to a forensic investigation for a computer system and its activity over a fixed time period. While research in this area has adopted a number of methods, we extend and adapt work of Marrington et al. based on a simple relational model. Our work differs from theirs in a number of ways: our object set (files, applications etc.) can be enlarged or diminished repeatedly during the analysis; the transitive relation between objects is used sparingly in our work as it tends to increase the set of objects requiring investigative attention; our objective is to reduce the volume of data to be analyzed rather than extending it. We present a substantial case study to illuminate the theory presented here. The case study also illustrates how a simple visual representation of the analysis could be used to assist a forensic team.

Semantic trajectory based event detection and event pattern mining

Video event detection is an effective way to automatically understand the semantic content of the video. However, due to the mismatch between low-level visual features and high-level semantics, the research of video event detection encounters a number of challenges, such as how to extract the suitable information from video, how to represent the event, how to build up reasoning mechanism to infer the event according to video information. In this paper, we propose a novel event detection method. The method detects the video event based on the semantic trajectory, which is a high-level semantic description of the moving object’s trajectory in the video. The proposed method consists of three phases to transform low-level visual features to middle-level raw trajectory information and then to high-level semantic trajectory information. Event reasoning is then carried out with the assistance of semantic trajectory information and background knowledge. Additionally, to release the users’ burden in manual event definition, a method is further proposed to automatically discover the event-related semantic trajectory pattern from the sample semantic trajectories. Furthermore, in order to effectively use the discovered semantic trajectory patterns, the associative classification-based event detection framework is adopted to discover the possibly occurred event. Empirical studies show our methods can effectively and efficiently detect video events.

Improving casthouse throughput using discrete-event modeling

The scheduling of metal to different casters in a casthouse is a complicated problem, attempting to find the balance between pot-line, crucible carrier, furnace and casting machine capacity. in this paper, a description will be given of a casthouse modelling system designed to test different scenarios for casthouse design and operation. Using discrete-event simulation, the casthouse model incorporates variable arrival times of metal carriers, crucible movements, caster operation and furnace conditions. Each part of the system is individually modelled and synchronised using a series of signals or semaphores. in addition, an easy to operate user interface allows for the modification of key parameters, and analysis of model output. Results from the model will be presented for a case study, which highlights the effect different parameters have on overall casthouse performance. The case study uses past production data from a casthouse to validate the model outputs, with the aim to perform a sensitivity analysis on the overall system. Along with metal preparation times and caster strip-down/setup, the temperature evolution within the furnaces is one key parameter in determining casthouse performance.