The dimensional and mechanical properties of wool/polyester fabrics made from vortex and ring-spun yarns

Fabric woven from wool/polyester (PES) Murata vortex spun (MVS) blend yarn is a commercially viable proposition particularly on the basis of advantageous wear-resistant properties, compared with fabric made from traditional worsted ring-spun yarn. However, in some early industrial trials with fabric made from 45/55-blend wool/PES MVS yarn, significantly greater relaxation shrinkage was found relative to comparable worsted ring-spun fabric. It was noted at the time that the amount of relaxation shrinkage in MVS fabric could be reduced to a large extent by using steamed MVS yarn.

In this study, the extent of variations in the dimensional and mechanical properties of fabric samples woven from a combination of steamed and unsteamed MVS yarn and equivalent worsted ring-spun yarn is examined. In general, greater hygral expansion and relaxation shrinkage were found in loom-state fabrics made from unsteamed MVS yarns, whereas the fabric made from steamed MVS and ring-spun yarns gave relatively low levels of relaxation shrinkage and hygral expansion. Permanent setting of fabrics, by pressure steaming, was found to be more effective than yarn pre-steaming in reducing relaxation shrinkage levels of fabrics made from unsteamed MVS yarn. After pressure steaming, all fabrics showed similar levels of relaxation shrinkage and hygral expansion.

Permanent setting of the fabrics, by pressure steaming, resulted in similar levels of relaxation shrinkage and hygral expansion, irrespective of the yarn production method; relaxation shrinkage fell to around 1% and hygral expansion increased by about 1%, relative to the loom-state samples. MVS fabrics were relatively heavier and fuller and had a firmer handle than the worsted ring-spun fabrics, reflecting the greater fabric weight, thickness and shear rigidity measured on these fabrics. These attributes are associated with different structures of the worsted ring-spun and MVS yarns used to make the fabrics.

Classification of face images using local iterated function systems

There has been an increasing interest in face recognition in recent years. Many recognition methods have been developed so far, some very encouraging. A key remaining issue is the existence of variations in the input face image. Today, methods exist that can handle specific image variations. But we are yet to see methods that can be used more effectively in unconstrained situations. This paper presents a method that can handle partial translation, rotation, or scale variations in the input face image. The principal is to automatically identify objects within images using their partial self-similarities. The paper presents two recognition methods which can be used to recognise objects within images. A face recognition system is then presented that is insensitive to limited translation, rotation, or scale variations in the input face image. The performance of the system is evaluated through four experiments. The results show that the system achieves higher recognition rates than those of a number of existing approaches.

The significance of social influences and established housing values

Investment in housing represents the largest single source of wealth for individuals and has an important role in the macro economy. Traditional economic indicators cannot always observe the degree of purchaser and vendor willingness and therefore consideration should also be given to characteristics of buyers and sellers in the marketplace. This study draws the disciplines of housing research and demography closer and looks to social indicators for an insight into residential housing markets.

The research analysed changes in the value of established residential house prices in Brisbane and the influence of variations in social structure on a longitudinal time series basis. Results confirmed the existence of strong linkages between social constructs and established house prices. While it is acknowledged that established house values are significantly influenced by external! economic and political factors, this research confirmed that serious consideration must also be given to social factors and demographic variables.

The increasing importance of housing demography in the 21st century

To many, demography is an area which traditionally focuses upon macro issues such as migration and population forecasts. However traditional economic indicators cannot always observe the degree of purchaser and vendor willingness and therefore consideration should also be given to characteristics of buyers and sellers in the marketplace. This study draws the disciplines of housing research and demography closer and looks to social indicators for an insight into residential housing markets. This research analysed changes in the value of established residential house prices in Brisbane and the influence of variations in demographic variables on a dynamic time series basis. The results confirmed the existence of strong linkages between demographics and established house prices. While it is acknowledged that established house values are significantly influenced by external economic and political factors, this research confirmed that serious consideration must also be given to the increasing importance of housing demography

Syzygies of the polynomial invariants of the Riemann tensor

This thesis introduces a novel way of writing polynomial invariants as network graphs, and applies this diagrammatic notation scheme, in conjunction with graph theory, to derive algorithms for constructing relationships (syzygies) between different invariants. These algorithms give rise to a constructive solution of a longstanding classical problem in invariant theory.

The self-reported personal wellbeing of a sample of Australian injecting drug users

Aims To examine the self-reported personal wellbeing of a sample of Australian injecting drug users (IDU) using a standardized instrument and determine the key correlates of variations in self-reported personal wellbeing.

Design, setting and participants Cross-sectional survey of 881 Australian IDU.

Measurements Self-reported personal wellbeing collected using the Personal Wellbeing Index (PWI).

Findings IDU scored significantly lower than the general Australian population on the PWI and all subscales. Lower PWI scores were associated with a range of socio-demographic, drug use and other health and social characteristics. Across all PWI subscales, lower personal wellbeing scores were associated with unemployment, past 6-month mental health problems and more frequent injecting (all P < 0.05).

Conclusions The PWI is sufficiently sensitive to distinguish between IDU and the general population, and to identify key correlates of PWI among IDU. Some domains canvassed within the scale, such as health, standard of living and life achievements, are well within the scope of current intervention strategies, such as pharmacotherapy maintenance treatment and housing and employment support services. This suggests that the PWI could be useful in clinical settings by allowing structured identification of the areas of a person's life to be addressed as a part of a treatment regimen. In order to inform targeted prevention and intervention efforts, longitudinal studies of PWI and its correlates among IDU are required.

Mohair research update 17 : wearer comfort of mohair textiles - does mohair have an allergy problem?

Many aspects of textiles affect the comfort or discomfort experienced by people. The effects of variations in thermal, moisture transmission, air permeability, size, fit, aesthetics and static electrical properties on textiles have been known for many years (Slater, 1977). Problems experienced with wearer comfort, both sensory and functional, have increased in commercial importance for all animal fibres. Surveys have shown that consumers report that prickle discomfort from wearing wool next to the skin is a negative market attribute for wool (IWS, 1993; Millard Brown, 2007).

Studying mathematics teacher education: analysing the process of task variation on learning

Self-study of variations to task design offers a way of analysing how learning takes place. Over several years, variations were made to improve an assessment task completed by final-year teacher candidates in a primary mathematics teacher education subject. This article describes how alterations to a task informed on-going developments in self-study of one assessment task employed in an online subject. Analysis of my journal, notes from conversations with colleagues, teacher candidates’ work on the task and responses to online forums, and survey data inspired variations focused on better exploration of key concepts involved in the task, raising of focal awareness, developing a stronger professional eye in the students and the author, adaptations for multiple curriculum levels, and explorations of dual teacher–student perspectives. The overall challenge has been to support teacher candidates to learn to design effective open-ended tasks with a critical professional eye. Descriptions of the changes made to the task and the development of my own professional eye as a consequence of the application of self-study are included. Data show that variations to the task increased teacher candidates’ understanding of mathematics problem posing and generated pedagogical insights for task design.

Exploration of the anticandidal mechanism of Cassia spectabilis in debilitating candidiasis

Candida albicans has become resistant to the commercially available, toxic, and expensive anti-Candida agents that are on the market. These factors force the search for new antifungal agents from natural resources. Cassia spectabilis had been traditionally employed by healers for many generations. The possible mechanisms of the C. spectabilis leaf extract were determined by potassium leakage study and the effect of the extract on the constituents of the cell wall and enzymes as well as the morphological changes on C. albicans cells were studied along with cytotoxicity assays. The cytotoxicity result indicated that the extract is nontoxic as was clearly substantiated by a half maximal inhibitory concentration (IC50) value of 59.10 μg/mL. The treated cells (C. spectabilis extract) demonstrated potassium leakage of 1039 parts per million (ppm) compared to Amphotericin B (AmpB)-treated cells with a released potassium value of 1115 ppm. The effects of the extract on the cell wall proteins illustrated that there were three major types of variations in the expression of treated cell wall proteins: the presence of new proteins, the absence of proteins, and the amount of expressed protein. The activities of two enzymes, α-glucosidase and proteinase, were determined to be significantly high, thereby not fully coinciding with the properties of the antifungal reaction triggered by C. spectabilis. The morphology of C. albicans cells treated with the C. spectabilis extract showed that the cells had abnormalities and were damaged or detached within the microcolonies. Our study verifies C. spectabilis leaf extract as an effective anti-C. albicans agent.

School innovation in science : change, culture, complexity

The School Innovation in Science (SIS) initiative has developed and evaluated a model to improve science teaching and learning across a school system. The model involves a framework for describing effective teaching and learning, and a strategy that allows schools flexibility to develop their practice to suit local conditions and to maintain ownership of the change process. SIS has proved successful in improving science teaching and learning in primary and secondary schools. Evidence of variations in the nature and extent of the change is used to argue that the process is essentially cultural in nature, and that change occurs at different levels within a school. Processes supporting change thus need to be flexible and responsive.

Fiscal responsibility and Australian Commonwealth, State and Territory government budgets

The government sector in Australia has seen the introduction of accrual accounting principles in recent years. However, this process has been complicated by the presence of two alternative financial reporting frameworks in the form of a) the Government Finance Statistics (OFS) uniform framework and b) the accrual accounting rules specified in Australian professional accounting standards, principally AAS 31. While a variety of cash and accrual based measurements are available pursuant to these frameworks, there has been no prescription of the manner in which the alternative measures should be presented. This paper presents the findings from a case study of the 2005-06 annual budgets prepared by the Australian Commonwealth government and the governments of the six Australian States and the two Australian Territories. The study examined the headlined financial outcome (general government sector budget surplus or deficit) announced in the budget papers of the nine governments. Findings indicate the adoption of varying measurement bases and a consequent lack of inter-government comparability. A number of variations to the measurements prescribed in the accounting frameworks were also observed. The paper analyses these government budget surplus and deficit numbers in the context of fiscal responsibility, the Commonwealth government's Charter of Budget Honesty and the AASB's current GAAPIGFS Convergence project.

Individual stable space : an approach to face recognition under uncontrolled conditions

There usually exist many kinds of variations in face images taken under uncontrolled conditions, such as changes of pose, illumination, expression, etc. Most previous works on face recognition (FR) focus on particular variations and usually assume the absence of others. Instead of such a ldquodivide and conquerrdquo strategy, this paper attempts to directly address face recognition under uncontrolled conditions. The key is the individual stable space (ISS), which only expresses personal characteristics. A neural network named ISNN is proposed to map a raw face image into the ISS. After that, three ISS-based algorithms are designed for FR under uncontrolled conditions. There are no restrictions for the images fed into these algorithms. Moreover, unlike many other FR techniques, they do not require any extra training information, such as the view angle. These advantages make them practical to implement under uncontrolled conditions. The proposed algorithms are tested on three large face databases with vast variations and achieve superior performance compared with other 12 existing FR techniques.

Internet and competitive advantage in Australian professional sport organisations

The electronic revolution has proven to be a powerful stimulus for change in business practice. As a business tool however, the Internet must endure the same scrutiny under which other business activities are placed. If the use of the Internet in business is a sound strategy, then it must contribute toward competitive advantage. The sport business industry has not been isolated from the vagaries of Internet applications. Moreover, as the industry has become more competitive, forcing sporting organisations towards unprecedented levels of accountability and business practice, the Internet has been increasingly seen as a potential 'holy grail' for sport organisations struggling for revenue (Stewart & Smith, 1999). This research is a response to these pressures. It seeks to identify Internet based opportunities for competitive advantage, and to provide strategies and recommendations for the successful use of the Internet in Australian professional sport organisations. In realising this objective, a newly developed and integrated Business Activity Model has been constructed. The model assists in the identification of specific Internet based competitive advantage strategies, and provides a theoretical framework for this research. The Business Activity Model conceptualises, for the first time, the relationships between the value chain, constituents of electronically enabled competitive advantage, and the Internet. With Australia's limited group of fully professional sports capable of sustaining the human resources and budgets necessary to implement comprehensive e-commerce strategies, the organisations selected to participate in this research represent the pinnacle of Australian professional sport clubs. Specifically, the 55 clubs competing in the Australian Football League (A.F.L.), National Basketball League (N.B.L.), National Rugby League (N.R.L.), and National Soccer League (N.S.L.) constituted the research sample and population. In concert with the 87% participation rate, sampling approached a census. A telephone-administered survey, based primarily on the rigorously tested instrument developed by Sethi and King (1994), was employed for data collection. This research employs a comprehensive set of descriptive statistics, and is bolstered by a confirmatory and an exploratory factor analysis, undertaken on one component of the data. The outcome of this research was the identification of seven practical recommendations for Australian professional sport organisations seeking to improve competitive advantage via the Internet. These recommendations were based on an inventory of the 'gaps' between the strategies proposed by the literature, and the practices of the sample, and relate to both overall Internet strategy, and specific web site applications. The development of the new Business Activity Model and the identification of key online strategy themes support and complement these recommendations. An examination of variations in the practices of participating organisations, and some comparisons against United States sporting organisations, also provides depth and context to the findings. This research provides a platform for sport managers to effectively harness the potential of the Internet, through their web sites in particular, and realise significant competitive advantages. The Business Activity Model provides managers in all industries with a tool for the detection and understanding of potential elements of competitive advantage, and incorporates all activities critical to business in the new digital economy. Seven practical recommendations for improved online performance based on identified competitive advantage and strategies fulfils the primary objective of this research. E-commerce continues to grow at astronomical rates, and with the Internet poised to become the life-blood of 21st century sporting organisations, these recommendations will assist managers in their ongoing search for competitive advantage.

Wireless sensor networks for in-situ image validation for water and nutrient management

Water and Nitrogen (N) are critical inputs for crop production. Remote sensing data collected from multiple scales, including ground-based, aerial, and satellite, can be used for the formulation of an efficient and cost effective algorithm for the detection of N and water stress. Formulation and validation of such techniques require continuous acquisition of ground based spectral data over the canopy enabling field measurements to coincide exactly with aerial and satellite observations. In this context, a wireless sensor in situ network was developed and this paper describes the results of the first phase of the experiment along with the details of sensor development and instrumentation set up. The sensor network was established based on different spatial sampling strategies and each sensor collected spectral data in seven narrow wavebands (470, 550, 670, 700, 720, 750, 790 nm) critical for monitoring crop growth. Spectral measurements recorded at required intervals (up to 30 seconds) were relayed through a multi-hop wireless network to a base computer at the field site. These data were then accessed by the remote sensing centre computing system through broad band internet. Comparison of the data from the WSN and an industry standard ground based hyperspectral radiometer indicated that there were no significant differences in the spectral measurements for all the wavebands except for 790nm. Combining sensor and wireless technologies provides a robust means of aerial and satellite data calibration and an enhanced understanding of issues of variations in the scale for the effective water and nutrient management in wheat.

What drives stock markets over short horizons? Evidence from emerging markets

The goal of this paper is to examine the importance of permanent and transitory shocks in explaining variations in stock prices for Singapore, Taiwan, and South Korea using a trend-cycle decomposition technique. This study is novel in that in measuring the impact of shocks we not only impose common trend restrictions but also common cycle restrictions. We later undertake a post-sample forecasting exercise to confirm the efficiency gains from imposing common cycle restrictions. We find that over short horizons, transitory shocks are the dominant source of variations in stock prices for South Korea, while permanent shocks explain the bulk of the variations in stock price of Singapore and Taiwan.