William Wardell's St John's College within the University of Sydney, 1858-59

Ursula wrote the essay for the catalogue of the Wardell Exhibition.

Focusing in on structural genomics : the University of Queensland structural biology pipeline

The flood of new genomic sequence information together with technological innovations in protein structure determination have led to worldwide structural genomics (SG) initiatives. The goals of SG initiatives are to accelerate the process of protein structure determination, to fill in protein fold space and to provide information about the function of uncharacterized proteins. In the long-term, these outcomes are likely to impact on medical biotechnology and drug discovery, leading to a better understanding of disease as well as the development of new therapeutics. Here we describe the high throughput pipeline established at the University of Queensland in Australia. In this focused pipeline, the targets for structure determination are proteins that are expressed in mouse macrophage cells and that are inferred to have a role in innate immunity. The aim is to characterize the molecular structure and the biochemical and cellular function of these targets by using a parallel processing pipeline. The pipeline is designed to work with tens to hundreds of target gene products and comprises target selection, cloning, expression, purification, crystallization and structure determination. The structures from this pipeline will provide insights into the function of previously uncharacterized macrophage proteins and could lead to the validation of new drug targets for chronic obstructive pulmonary disease and arthritis.

Learning through research : a regional university and its community

Regional universities bring a research capacity to their home locations that is rarely available through other mechanisms in the region. University initiated research projects conducted locally can provide an opportunity for regional communities to examine their practices through a different lens. Through these projects, researchers in regional universities whose research includes sites internal and external to the region are able to connect their region to national and global contexts. Research presents many opportunities for regional universities and their communities to learn together.

There is some evidence that policy-makers are aware of the importance of behavioural relationships in the engagement of regional universities with communities. Policy documents tend to focus on the macro, institutional level benefits, structural incentives and impediments to university and community engagement. This paper examines research from one faculty based on a regional university campus: the Faculty of Education at the University of Tasmania in Launceston in Australia. It takes a micro view, considering benefits and factors influencing success for small research teams and individual researchers and their community research associates. A learning community approach, where synergies from collaboration can generate new knowledge for the benefit of all university and community players, emerges as an effective model for regional engagement through research.

150 years of democracy? The case of New South Wales

New South Wales has a rich history of parliamentary democracy. As the oldest of the Australian States, it has provided a microcosm of the evolution of modern British-style democracy from the ‘hustings’ of the early colonial to the harbour views of the contemporary politicians’ offices. New South Wales’ political history is also rich with experimentation. The early introduction of the secret ballot, payment for members, the abolition of plural voting, and adult suffrage are well known. Although it needs to be recognized that it followed slightly behind that ‘ Paradise of Dissent’ South Australia on all those features.

Equally fascinating is the role of the Labour Party, whose campaigning on behalf of adult suffrage and payment for Members is fairly well known. Less known, but of great interest, were its activities on behalf of electoral reform, political accountability and easier enrolment and voting, particularly for ‘ itinerants’ at a time when its political base was in the rural workforce. New South Wales Labour was significant for its decision to stand alone, in contrast with its Victorian and New Zealand counterparts, which threw in their lot with the Progressives.

Retrospective application of remote sensing to the Tasmanian lakeland

This thesis describes the research undertaken for a degree of Master of Science in a retrospective study of airborne remotely sensed data registered in 1990 and 1993, and field captured data of aquatic humus concentrations for ~ 45 lakes in Tasmania. The aim was to investigate and describe the relationship between the remotely sensed data and the field data and to test the hypothesis that the remotely sensed data would establish further evidence of a limnological corridor of change running north-west to south- east. The airborne remotely sensed data consisted of data captured by the CSIRO Ocean Colour Scanner (OCS) and a newly developed Canadian scanner, a compact airborne spectrographic imager (CASI). The thesis investigates the relationship between the two kinds of data sources. The remotely sensed data was collected with the OCS scanner in 1990 (during one day) and with both the OCS and the CASI in 1993 (during three days). The OCS scanner registers data in 9 wavelength bands between 380 nm and 960 nm with a 10-20 nm bandwidth, and the CASI in 288 wavelength bands between 379.57 nm and 893.5 nm (ie. spectral mode) with a spectral resolution of 2.5 nm. The remotely sensed data were extracted from the original tapes with the help of the CSIRO and supplied software and digital sample areas (band value means) for each lake were subsequently extracted for data manipulation and statistical analysis. Field data was captured concurrently with the remotely sensed data in 1993 by lake hopping using a light aircraft with floats. The field data used for analysis with the remotely sensed data were the laboratory determined g440 values from the 1993 water samples collated with g440 values determined from earlier years. No spectro-radiometric data of the lakes, data of incoming irradiance or ancillary climatic data were captured during the remote sensing missions. The sections of the background chapter in the thesis provide a background to the research both in regards to remote sensing of water quality and the relationship between remotely sensed spectral data and water quality parameters, as well as a description of the Tasmanian lakes flown. The lakes were divided into four groups based on results from previous studies and optical parameters, especially aquatic humus concentrations as measured from field captured data. The four groups consist of the ‘green” clear water lakes mostly situated on the Central Plateau, the ‘brown” highly dystrophic lakes in western Tasmania, the ‘corridor” lakes situated along a corridor of change lying approximately between the two lines denoting the Jurassic edge and 1200 mm isohyet, and the ‘eastern, turbid” lakes make up the fourth group. The analytical part of the research work was mostly concerned with manipulating and analysing the CASI data because of its higher spectral resolution. The research explores methods to apply corrections to this data to reduce the disturbing effects of varying illumination and atmospheric conditions. Three different methods were attempted. In the first method two different standardisation formulas are applied to the data as well as ‘day correction” factors calculated from data from one of the lakes, Lake Rolleston, which had data captured for all three days of the remote sensing operations. The standardisation formulas were also applied to the OCS data. In second method an attempt to reduce the effects of the atmosphere was performed using spectro-radiometric captured in 1988 for one of the lakes flown, Great Lake. All the lake sample data were time normalised using general irradiance data obtained from the University of Tasmania and the sky portion as calculated from Great Lake upwelling irradiance data was then subtracted. The last method involved using two different band ratios to eliminate atmospheric effects. Statistical analysis was applied to the data resulting from the three methods to try to describe the relationship between the remotely sensed data and the field captured data. Discriminant analysis, cluster analysis and factor analysis using principal component analysis (pea) were applied to the remotely sensed data and the field data. The factor scores resulting from the pca were regressed against the field collated data of g440 as were the values resulting from last method. The results from the statistical analysis of the data from the first method show that the lakes group well (100%) against the predetermined groups using discriminant analysis applied to the remotely sensed CASI data. Most variance in the data are contained in the first factor resulting from pca regardless of data manipulation method. Regression of the factor scores against g440 field data show a strong non- linear relationship and a one-sided linear regression test is therefore considered an inappropriate analysis method to describe the dataset relationships. The research has shown that with the available data, correction and analysis methods, and within the scope of the Masters study, it was not possible to establish the relationships between the remotely sensed data and the field measured parameters as hoped. The main reason for this was the failure to retrieve remotely sensed lake signatures adequately corrected for atmospheric noise for comparison with the field data. This in turn is a result of the lack of detailed ancillary information needed to apply available established methods for noise reduction - to apply these methods we require field spectroradiometric measurements and environmental information of the varying conditions both within the study area and within the time frame of capture of the remotely sensed data.

Simultaneous presentation of measured and calculated environmental results

Continuous measurement of internal and external environmental parameters is critical to our understanding of how buildings perform. Yet, the quantity and variety of time-series data can be quite overwhelming as well as onerous to decipher and present. In addition to this, is the fact that several of the collected data are useless in their raw format unless processed through algorithms to obtain identifiable and meaningful results.
These circumstances challenge the conventional way we present accumulated data and their processed outputs in order to get a better understanding of how and why the environmental performance occurred. It would be ideal if all of the collected and processed data could be presented in a simultaneous, yet, useful format. It is exactly the intention of this paper to suggest and present such a process as well as its format.
An example case study is provided where several parameters (air velocity, mean radiant temperature, humidity and air temperature) are measured periodically to calculate a time-series of internal comfort performance. However, external conditions of solar radiation and solar position as well as air temperature drive the interior building surface temperatures and help to explain the end result of internal comfort.
A program has been written to present the various sets of data graphically, in an integrated manner, animated as a function of time. The animation shows solar position, a cursor scanning weather data, the changing infra-red image and a representation of the resulting internal comfort performance throughout the
monitored period.