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This paper presents findings from case studies of health consumers who each suspect they may have experienced an adverse drug reaction (ADR). These case studies are part of a larger study involving consumer/doctor decisions surrounding suspected adverse drug reactions and prescribing. Decision support to assist with the diagnosis and management of ADRs has to date, primarily focused on providing in-time information to prescribers about factors that pertain to the consumer and the medications they are taking. Decision support that includes costumers usually targets treatment decisions. The results of this paper indicate the prescriber is only one decision contributor in a rich tapestry of decision contributors and decision types, and consumer decision types are significantly broader than treatment decisions. The results provide guidance for the development of decision support within this domain. [ABSTRACT FROM AUTHOR]

This paper presents a computational approach for predicting the Australian stock market index -- AORD using multi-layer feed-forward neural networks from the time series data of AORD and various interrelated markets. This effort aims to discover an effective neural network or set of adaptive neural networks for this prediction purpose, which can exploit or model various dynamical swings and inter-market influences discovered from professional technical analysis and quantitative analysis. Within a limited range defined by our empirical knowledge, three aspects of effectiveness on data selection are considered: effective inputs from the target market (AORD) itself, a sufficient set of interrelated markets, and effective inputs from the interrelated markets. Two traditional dimensions of the neural network architecture are also considered: the optimal number of hidden layers, and the optimal number of hidden neurons for each hidden layer. Three important results were obtained: A 6-day cycle was discovered in the Australian stock market during the studied period: the time signature used as additional inputs provides useful information; and a basic neural network using six daily returns of AORD and one daily returns of SP500 plus the day of the week as inputs exhibits up to 80% directional prediction correctness. [ABSTRACT FROM AUTHOR]

An introduction to the journal is presented in which the editor discusses various reports published within the issue including "Performing Incremental Generation of Code in Model Driven Engineering," by Vicente Garcia-Diaz and colleagues and "A Semantic and QoS-aware Broker for Service Discovery," by Malika Charrad and colleagues.

An introduction to the journal is presented in which the editor discusses various reports published within the issue including one on the diffusion of Internet protocol version 6 (IPv6), another on the effect of personal innovativeness on the relationship within a core attitudinal model to Windows 7 and Office 2010, and another one on the strategies that chief executive officers (CEOs) follow when hiring outsourced services.

An introduction to articles published within the issue is presented, including one by Bratislav Predic et al on the use of Automatic Vehicle Location (AVL) system for tracking and analyzing public bus transport, another by Eva C. Yen on the use of modified neuro-adapative learning fuzzy system for self-correction of the option pricing model, and one paper by Chi Yang et al on the buffer scale that can be broken by taking semantic information into account for buffer reduction.

An introduction is presented which discusses various reports within the issue including "Publications in Presence Service: Overview and Optimization Techniques," by Victoria Beltran and Josep Paradells, "WASM: A Metric for Securing a Web Application" by Rakesh Kumar and Guvinder Kaur, and "Cloud computing: A Calm Technology for Humans-business-environment Triad," by Alexandru Tugui.

The article discusses various articles published within this issue including one by Mohammad Alshayeb on architecture, one by refa E. Al-qutaish and Alain Abran on software product quality and one by Dolores Cuadra, Javier Calle and Jesica Rivero on relational databases.

An introduction is presented in which the editor discusses various reports within the issue on topics including data acquisition , information technology personnel capabilities, and business process languages.

An introduction to the journal is presented in which the editor discusses an article on function block diagram.

The article discusses various reports published within the issue including one about the new method Laplacian MinMax Discriminant Projection (LMMDP), another on the specification of Boolean constraints on extensible markup language (XML) documents and one more on the 2007 Australian Conference on Information Systems.