Prosecutors' perceptions of the utility of 'relationship' evidence in sexual abuse trials

For successful prosecution of sex offences, defined elements that comprise each charge (such as the acts that occurred and offenders’ identities) need to be established beyond reasonable doubt. This study explored the potential benefit (from a prosecution perspective) of eliciting another type of evidence; evidence regarding the relationship between the victim and perpetrator that may explain the victim’s responses.

Fourteen prosecutors representing every major Australian jurisdiction participated in individual interviews or a focus group where they were asked to reflect on the perceived relevance of relationship evidence in sex offence trials, and the potential impact of this evidence on court process and outcomes.

All prosecutors gave strong support for the premise of including relationship evidence in victim and witness statements, as well as in suspect interviews; however, this type of evidence was not routinely being included in interviews or admitted in trials.

The majority of the discussion centred on:

Microsatellite markers characterized in the barn owl (Tyto alba) and of high utility in other owls (Strigiformes: AVES)

We have identified 15 polymorphic microsatellite loci for the barn owl (Tyto alba), five from testing published owl loci and 10 from testing non-owl loci, including loci known to be of high utility in passerines and shorebirds. All 15 loci were sequenced in barn owl, and new primer sets were designed for eight loci. The 15 polymorphic loci displayed two to 26 alleles in 56–58 barn owls. When tested in 10 other owl species (n = 1–6 individuals), between four and nine loci were polymorphic per species. These loci are suitable for studies of population structure and parentage in owls.

Key influences on motivations for utility cycling (cycling for transport to and from places)

Issue addressed: 

The influence of organisational commitment, job involvement and utility perceptions on trainees’ motivation to improve work through learning

Workplace training is a key strategy often used by organisations to optimise performance. Further, trainee motivation is a key determinant of the degree to which the material learned in a training programme will be transferred to the workplace, enhancing the performance of the trainee. This study investigates the relationship between several components of the Revised Human Resource Development (HRD) Evaluation and Research Model. This model provides a framework for diagnosing and understanding the causal influences of HRD intervention outcomes on training effectiveness. Data were obtained from an online questionnaire completed by 105 employees of various organisations. Findings revealed that affective organisational commitment, job involvement and utility perceptions are predictors of motivation to learn and transfer learning. An interaction effect was found, with increased affective organisational commitment predicting greater motivation to learn when training was of lower perceived utility. These findings suggest that the design and delivery of training should emphasise the relevance and utility of the programme in order to encourage greater trainee motivation and maximise return on investment. Additionally, implementing strategies aimed at promoting organisational commitment would appear beneficial.

Investigating Facebook groups through a random graph model

Facebook disseminates messages for billions of users everyday. Though there are log files stored on central servers, law enforcement agencies outside of the U.S. cannot easily acquire server log files from Facebook. This work models Facebook user groups by using a random graph model. Our aim is to facilitate detectives quickly estimating the size of a Facebook group with which a suspect is involved. We estimate this group size according to the number of immediate friends and the number of extended friends which are usually accessible by the public. We plot and examine UML diagrams to describe Facebook functions. Our experimental results show that asymmetric Facebook friendship fulfills the assumption of applying random graph models.

Preserving utility in social network graph anonymization

To protect from privacy disclosure, the social network graph is modified in order to hide the information that potentially be used to disclose person's identity. However, when the social network graph is changed, it is a great challenge to balance between the privacy gained and the loss of data utility. In this paper, we address this problem. We propose a new graph topological-based metric to improve utility preservation in social network graph anonymization. We compare the proposed approach with the amount-of-edge-change metric that popularly used in most of previous works. Experimental evaluation shows that our approach generates anonymized social network with improved utility preservation.

Network traffic clustering using random forest proximities

The recent years have seen extensive work on statistics-based network traffic classification using machine learning (ML) techniques. In the particular scenario of learning from unlabeled traffic data, some classic unsupervised clustering algorithms (e.g. K-Means and EM) have been applied but the reported results are unsatisfactory in terms of low accuracy. This paper presents a novel approach for the task, which performs clustering based on Random Forest (RF) proximities instead of Euclidean distances. The approach consists of two steps. In the first step, we derive a proximity measure for each pair of data points by performing a RF classification on the original data and a set of synthetic data. In the next step, we perform a K-Medoids clustering to partition the data points into K groups based on the proximity matrix. Evaluations have been conducted on real-world Internet traffic traces and the experimental results indicate that the proposed approach is more accurate than the previous methods.

The potential utility of Daoist theory and practice in psychology

This thesis attempted to demonstrate the potential for adaptation from the Chinese philosophical tradition of Daoism into modern psychology. The candidate was able to succesfully demonstrate a link between Daoist thinking style and reduced stress levels, especially in Chinese individuals.