UQ eSpace Users - Frequently Asked Questions

A FAQ on how to use the UQ eSpace repository.

UQ eSpace Poster

UQ eSpace (http://espace.uq.edu.au/) is The University of Queensland's institutional digital repository. The poster outlines all the different ways academic staff and postgraduate students can make use of the repository.

Depositing publications with UQ eSpace - instructions for liaison librarians

This document is for UQ Library liaison staff who will act as Community Administrators for their schools and centres.

Relationships between quality of experience and participation in diverse performance settingshttp://espace.library.uq.edu.au/workflow/edit_metadata.php?id=382160&wfs_id=778

The flow concept describes a model of enjoyment that has relevance for understanding participation and experience across a wide range of activities (Csikszentmihalyi, 1997). The basic premise of the flow concept is that when challenges and skills are simultaneously balanced and extending the individual, a state of total absorption can occur. Research by Jackson and colleagues has examined the utility of the flow concept to understanding participation and performance in sport settings. Recently, Jackson and Eklund have examined flow in a range of performance settings: sport, exercise, dance, creative and performing arts, and music. In this paper, we present descriptive and construct validity data on how participants in these activities experienced flow, as assessed by the recently revised flow scales: The Dispositional Flow Scale-2 (DFS-2) and Flow State Scale-2 (FSS-2) (Jackson & Eklund, 2002). The fmdings will be discussed in relation to the utility of the flow concept to understanding participation across performance settings.

Accelerated leap methods for simulating discrete stochastic chemical kinetics

Biologists are increasingly conscious of the critical role that noise plays in cellular functions such as genetic regulation, often in connection with fluctuations in small numbers of key regulatory molecules. This has inspired the development of models that capture this fundamentally discrete and stochastic nature of cellular biology - most notably the Gillespie stochastic simulation algorithm (SSA). The SSA simulates a temporally homogeneous, discrete-state, continuous-time Markov process, and of course the corresponding probabilities and numbers of each molecular species must all remain positive. While accurately serving this purpose, the SSA can be computationally inefficient due to very small time stepping so faster approximations such as the Poisson and Binomial τ-leap methods have been suggested. This work places these leap methods in the context of numerical methods for the solution of stochastic differential equations (SDEs) driven by Poisson noise. This allows analogues of Euler-Maruyuma, Milstein and even higher order methods to be developed through the Itô-Taylor expansions as well as similar derivative-free Runge-Kutta approaches. Numerical results demonstrate that these novel methods compare favourably with existing techniques for simulating biochemical reactions by more accurately capturing crucial properties such as the mean and variance than existing methods.

Glazing to entry, Mt. Nebo House

Leadlight windows with stained glass feature panes and timber muntins over french doors with matching leadlight sidelights.

Dining room, Mt. Nebo House

Interior view showing fireplace and mezzanine.

Hallway, Mt. Nebo House

Hallway off main entry to house.

Dormer window, Mt. Nebo House

Arched head leadlight and casement windows with stained glass feature panes and timber muntins. View through window from interior.

Dormer window, Mt. Nebo House

Arched head leadlight window with stained glass feature panes and timber muntins.

Garage-studio interior, Mt. Nebo House

Timber framing and roof skylight detail inside garage-studio.

Upper level, C House, Coorparoo, Brisbane

View along North-West elevation upper level.

Iwan, C House, Coorparoo, Brisbane

As seen from pool deck.