Tale of Gresham's law

Gresham’s law, which says that bad money tends to drive good money out of circulation, may account for many nations’ episodes of money troubles, as far back as ancient Athens. This Commentary discusses the two main explanations for Gresham’s law and suggests some circumstances in which the law does not apply.

Extending the Workers' Compensation Act 1987 (N.S.W.) to include independent contractors and to allow more highly paid workers to insure fully their income, with particular reference to engineers

In mid-1987, the existing workers’ compensation system in New South Wales was replaced by a new Scheme, called ‘WorkCover’. While WorkCover solved a number of the financial problems that had plagued its predecessor, its enactment created other issues. Furthermore, WorkCover has failed to deal with a number of gaps in providing compensation for occupational injuries, most notably those suffered by independent contractors. By combining a study of aspects of industrial law and industrial relations, this thesis will examine some of those problems and gaps, in particular: (a) Should WorkCover be amended to enable independent contractors to come within its ambit? (b) Should there be additional insurance cover available (known as ‘top-up’ insurance) to insure those parts of workers’ wages presently left unprotected by WorkCover? (c) Should workers be permitted to take out another form of ‘top-up’ insurance to increase the quantum of death cover presently provided by the Scheme? (d) Should independent contractors who arc permitted to enter WorkCover also be permitted to obtain the extended cover set out in (b) and (c) above? Where appropriate, the thesis compares WorkCover to the workers’ compensation schemes in other Australian jurisdictions. It develops each of the matters referred to above by referring to the results of the writer’s survey of members of the Institution of Engineers (NSW Branch) which was conducted in May and June 1991.

The future of distance education : reformed, scrapped or recycled

A mass of under-educated people, an expanding population, major global crises and an expanding knowledge economy all combine to sustain a massive demand for basic, further, higher, continuing and lifelong education.This demand cannot be met solely in the world’s classrooms; even if there were enough classrooms, many people will be unwilling or unable to attend them to learn. In this sense, distance education is essential for the future, but the fluidity around educational terms and practices means that it is also quite possible that ‘distance education’—the term and its history—will be towed to the scrap yard for many of its useful parts to be recycled. This chapter considers three key elements of distance education—technology, students and educational institutions—and the educational possibilities that surround them by reflection on past and present changes. The future of distance education is intimately connected to broader social, economic and cultural changes. These changes are strongly influenced by the ‘disruptive’ technologies, demographic transformations in the nature of distance learners and the pressures of global techno-capitalism on educational institutions.

Echium oil provides no benefit over linseed oil for (n-3) long-chain PUFA biosynthesis in rainbow trout

The implementation of alternative lipid sources for use in aquaculture is of considerable interest globally. However, the possible benefit of using stearidonic acid (SDA)–rich fish oil (FO) alternatives has led to scientific confusion. Two hundred and forty rainbow trout (Oncorhynchus mykiss) were fed 1 of 4 diets (3 replicate tanks/treatment) containing either FO, linseed oil (LO), echium oil, or mixed vegetable oil (72% LO, 23% sunflower oil, and 6% canola oil) as the dietary lipid source (16.5%) for 73 d to investigate the competition and long-chain PUFA (LC-PUFA) biosynthesis between the fatty acid substrates α-linolenic acid (ALA) and SDA. SDA was more efficiently bioconverted to LC-PUFA compared with ALA. However, when the dietary lipid sources were directly compared, the increased provision of C18 PUFA within the LO diet resulted in no significant differences in (n-3) LC-PUFA content compared with fish fed the other diets. This study therefore shows that, rather than the previously speculated substrate competition, the limiting process in the apparent in vivo (n-3) LC-PUFA biosynthesis appears to be substrate availability. Rainbow trout fed the SDA- and ALA-rich dietary lipid sources subsequently had similar significant reductions in (n-3) LC-PUFA compared with fish fed the FO diet, therefore providing no additional dietary benefit on (n-3) LC-PUFA concentrations.

Classification of healthcare data using genetic fuzzy logic system and wavelets

Healthcare plays an important role in promoting the general health and well-being of people around the world. The difficulty in healthcare data classification arises from the uncertainty and the high-dimensional nature of the medical data collected. This paper proposes an integration of fuzzy standard additive model (SAM) with genetic algorithm (GA), called GSAM, to deal with uncertainty and computational challenges. GSAM learning process comprises three continual steps: rule initialization by unsupervised learning using the adaptive vector quantization clustering, evolutionary rule optimization by GA and parameter tuning by the gradient descent supervised learning. Wavelet transformation is employed to extract discriminative features for high-dimensional datasets. GSAM becomes highly capable when deployed with small number of wavelet features as its computational burden is remarkably reduced. The proposed method is evaluated using two frequently-used medical datasets: the Wisconsin breast cancer and Cleveland heart disease from the UCI Repository for machine learning. Experiments are organized with a five-fold cross validation and performance of classification techniques are measured by a number of important metrics: accuracy, F-measure, mutual information and area under the receiver operating characteristic curve. Results demonstrate the superiority of the GSAM compared to other machine learning methods including probabilistic neural network, support vector machine, fuzzy ARTMAP, and adaptive neuro-fuzzy inference system. The proposed approach is thus helpful as a decision support system for medical practitioners in the healthcare practice.

Medical data classification using interval type-2 fuzzy logic system and wavelets

This paper introduces an automated medical data classification method using wavelet transformation (WT) and interval type-2 fuzzy logic system (IT2FLS). Wavelet coefficients, which serve as inputs to the IT2FLS, are a compact form of original data but they exhibits highly discriminative features. The integration between WT and IT2FLS aims to cope with both high-dimensional data challenge and uncertainty. IT2FLS utilizes a hybrid learning process comprising unsupervised structure learning by the fuzzy c-means (FCM) clustering and supervised parameter tuning by genetic algorithm. This learning process is computationally expensive, especially when employed with high-dimensional data. The application of WT therefore reduces computational burden and enhances performance of IT2FLS. Experiments are implemented with two frequently used medical datasets from the UCI Repository for machine learning: the Wisconsin breast cancer and Cleveland heart disease. A number of important metrics are computed to measure the performance of the classification. They consist of accuracy, sensitivity, specificity and area under the receiver operating characteristic curve. Results demonstrate a significant dominance of the wavelet-IT2FLS approach compared to other machine learning methods including probabilistic neural network, support vector machine, fuzzy ARTMAP, and adaptive neuro-fuzzy inference system. The proposed approach is thus useful as a decision support system for clinicians and practitioners in the medical practice. copy; 2015 Elsevier B.V. All rights reserved.

The roots of punitive damages at common law: a longer history

This Article aims to revisit the historical development of the doctrine ofexemplary or punitive damages. Punitive damages are anomalous in that they lie in both tort and crime, a matter that has led to much criticism by modern commentators. Yet, a definitive history of punitive damages does not exist to explain this anomaly. The main contribution of this Article, then, is to begin such a history by way of a meta-narrative. It identifies and links the historically significant moments that led to punitive damages, beginning with the background period of classical Roman law, its renewed reception in Western Europe in the twelfth and thirteenth centuries that coincided with the emergence of the English common law,the English statutes of the late thirteenth century, to the court cases of Wilkes v. Wood and Huckle v. Money in the eighteenth century that heralded the "first explicit articulation" of the legal principle of punitive damages. This Article argues that this history is not linear in nature but historically contingent. This is a corrective to present scholarship, which fails to adequately connect or contextualize these historical moments, or over-simplifies this development over time.