Undergraduate physiotherapy programmes aim to equip graduates with basic skills, knowledge and behaviours to allow them to
enter the profession. The aim of this study was to explore employers’ perceptions of key factors in work place preparedness of novice
physiotherapists.…

Over the past several decades, abundant research has investigated the onset of gender role development in early childhood, suggesting that children as young as 3 possess substantial awareness of gender stereotypes and, by age 5, strong beliefs about the need…

Although we represent other people in terms of both what they look like and how they behave, these two aspects of person knowledge have rarely been studied together. While vision scientists have focused on the processing of faces and bodies,…

This paper discusses the motivation, design, implementation, and evaluation of a
new electronic beat sequencing system called HMM Beats. HMM Beats is inspired
by recent work in machine learning on user drum beat prediction. HMM Beats is
an interactive system…

The objective of this thesis project is to build a robot that can clearly demonstrate its
potential to solve standard jigsaw puzzles. This robot must be capable of picking up
and reorienting puzzle pieces to the precision required for completing…

This article considers aspects of the assimilation of academic research to town planning guidelines and policies, in particular research conducted in terms, and with methodologies, remote from practical town planning processes. It grew out of an interdisciplinary project examining the…

Current model-driven Web Engineering approaches (such as OO-H, UWE or WebML) provide a set of methods and supporting tools for a systematic design and development of Web applications. Each method addresses different concerns using separate models (content, navigation, presentation, business…

The design of intelligent agents is greatly influenced by the many different models that exist to represent knowledge. It is essential that such agents have computationally adequate mechanisms to manage its knowledge, which more often than not is incomplete and/or…

Multiagent systems and online communities rely on rating systems to infer the reputation given to an individual within a particular context. The notion of reputation is essential for helping a given individual to trust in other individuals and for being…

Co-training can learn from datasets having a small number of labelled examples and a large number of unlabelled ones. It is an iterative algorithm where examples labelled in previous iterations are used to improve the classification of examples from the…