Oxidative stress in psychiatric disorders : evidence base and therapeutic implications

Oxidative stress has been implicated in the pathogenesis of diverse disease states, and may be a common pathogenic mechanism underlying many major psychiatric disorders, as the brain has comparatively greater vulnerability to oxidative damage. This review aims to examine the current evidence for the role of oxidative stress in psychiatric disorders, and its academic and clinical implications. A literature search was conducted using the Medline, Pubmed, PsycINFO, CINAHL PLUS, BIOSIS Previews, and Cochrane databases, with a time-frame extending to September 2007. The broadest data for oxidative stress mechanisms have been derived from studies conducted in schizophrenia, where evidence is available from different areas of oxidative research, including oxidative marker assays, psychopharmacology studies, and clinical trials of antioxidants. For bipolar disorder and depression, a solid foundation for oxidative stress hypotheses has been provided by biochemical, genetic, pharmacological, preclinical therapeutic studies and one clinical trial. Oxidative pathophysiology in anxiety disorders is strongly supported by animal models, and also by human biochemical data. Pilot studies have suggested efficacy of N-acetylcysteine in cocaine dependence, while early evidence is accumulating for oxidative mechanisms in autism and attention deficit hyperactivity disorder. In conclusion, multi-dimensional data support the role of oxidative stress in diverse psychiatric disorders. These data not only suggest that oxidative mechanisms may form unifying common pathogenic pathways in psychiatric disorders, but also introduce new targets for the development of therapeutic interventions.

An empirical study of BI-based corporate performance management in North America and East Asia

Managing corporate performance is an important yet challenging process. Recently, many enterprises have adopted business intelligence (BI) tools to facilitate more effective corporate performance management. Based on a survey with 290 organizations across North America and East Asia, this paper presents empirical evidence on the key benefits of and barriers to BI-based corporate performance management (CPM). The study reveals that the implementation of BI-based CPM faces multi-dimensional challenges. Organizations in East Asia perceived higher CPM benefits as well as higher CPM barriers than their counterparts in North America. Cultural, economic and environmental differences between the two regions explain these issues. The research findings offer important insights for multinational organizations that are planning or are in the process of implementing or reviewing their BI-based CPM, as well as for consulting companies that are assisting with CPM implementation in different countries.

A maturity model of enterprise business intelligence

The implementation of an enterprise-level business intelligence initiative is a large-scale and complex undertaking, involving significant expenditure and multiple stakeholders over a lengthy period. It is therefore imperative to have systematic guidelines for business intelligence stakeholders in referring business intelligence maturity levels. Draw upon the prudent concepts of the Capability Maturity Model, this research proposes a multi-dimensional maturity model with distinct maturity levels for managing enterprise business intelligence initiatives. The maturity model, named Enterprise Business Intelligence Maturiy (EBIM), consists of five core maturity levels and four key dimensions, namely information quality, master data management, warehousing architecture, and analytics. It can be used to assist enterprises in benchmarking their business intelligence maturity level and identifying the critical areas to attain higher level of maturity.

Enhancing business intelligence traceability through an integrated metadata framework

The Business Intelligence (BI) system provides users with multi-dimensional information (so-called BI product) to support their decision-making. However, very often business users still could not fully understand the BI product, nor have a clear picture of the entire information manufacturing chain of the BI product. In response to this situation, this paper presents an integrated metadata framework (“BIP-Map”) to facilitate the traceability and accountability of a BI product following the design science research approach. Specifically, the salient modelling and management techniques from the business process modelling notation (BPMN), the information product map (IP-Map), and the metadata management are adapted to construct a three-layered integrated metadata framework enabling the business users to make timely and informed decisions. A BIP-Map informed prototype system has been developed in collaboration with online job recruitment firms. The authors conducted in-depth interviews with seven key BI stakeholders of the recruitment firms to evaluate the usefulness of the BIP-Map. It is envisaged that the metadata framework allows the technical personnel to understand the business processes that relate to certain information provided in the BI reports. Business users will also be able to gain insights into the logic behind any BI report.

Mobile agent tracking with single frequency continuous wave radar : a linear robust filtering based approach

3-alkylpyrrole to the fabric surface. Direct applications of a conductive paint to the textile surface eliminate the exposure of the substrate to damaging oxidizing agents which allow the coating of more sensitive and delicate substrates. All textiles produced are tested for abrasion resistance and conductivity. For alkyl polypyrrole coated fabrics, the optimum carbon chain lengths are between n=10 and n=14, which result in optimum values of conductivity and solubility. The darkness of the tone is inversely related to the surface resistivity of the resulting conductive fabric. Therefore, deep black coatings have low resistivity whereas light gray coatings on a white fabric surface have higher surface resistivity. Longer alkyl chains result in higher surface resistivity in fabrics. The conductive coating of poly(3-decanylpyrrole) on the textile surface has a better abrasion resistance compared to that of an unsubstituted polypyrrole coating.

Environmental sustainability orientation and financial resources of small manufacturing firms in the Philippines

Purpose - This study challenges the conventional view that resources determine the extent of environmental sustainability orientation (ESO) of small firms in a developing Southeast Asian country context. First, this study attempts to develop a measurement model of ESO of small firms in the manufacturing sector in the Philippines. Second, the study explores the impact of the financial resources on the ESO of firms.

Design/methodology/approach - The study uses survey data from 166 small manufacturing firms in three Philippine cities. Multiple regression modelling is used to estimate the relationships between firm resources and ESO.

Findings - The results indicate that ESO is a multi-dimensional construct with three facets: awareness of, actions for, and appreciation of environmental sustainability. The empirical evidence does not support the conventional firm resources – ESO proposition.

Research limitations/implications - A proactive ESO is not necessarily beyond the reach of resource-constrained small firms. The generalisability of the findings however is limited to small manufacturing firms in the Philippines.

Practical implications - This study informs owner-managers of small firms that a proactive ESO does not largely depend on financial resources. Government policies and programs to encourage small firms to become sustainable should not only focus on financial forms of assistance.

Originality/value -  To date, this is the only Philippine-based study and one of the scarce small firm-focused studies that examine the proposition that small firms are unable to pursue a proactive ESO due to resource-constraints.

A framework for co-ordination and learning among teams of agents

We present a framework for team coordination under incomplete information based on the theory of incomplete information games. When the true distribution of the uncertainty involved is not known in advance, we consider a repeated interaction scenario and show that the agents can learn to estimate this distribution and share their estimations with one another. Over time, as the set of agents' estimations become more accurate, the utility they can achieve approaches the optimal utility when the true distribution is known, while the communication requirement for exchanging the estimations among the agents can be kept to a minimal level.

Ecophysiology of avian migration in the face of current global hazards

Long-distance migratory birds are often considered extreme athletes, possessing a range of traits that approach the physiological limits of vertebrate design. In addition, their movements must be carefully timed to ensure that they obtain resources of sufficient quantity and quality to satisfy their high-energy needs. Migratory birds may therefore be particularly vulnerable to global change processes that are projected to alter the quality and quantity of resource availability. Because long-distance flight requires high and sustained aerobic capacity, even minor decreases in vitality can have large negative consequences for migrants. In the light of this, we assess how current global change processes may affect the ability of birds to meet the physiological demands of migration, and suggest areas where avian physiologists may help to identify potential hazards. Predicting the consequences of global change scenarios on migrant species requires (i) reconciliation of empirical and theoretical studies of avian flight physiology; (ii) an understanding of the effects of food quality, toxicants and disease on migrant performance; and (iii) mechanistic models that integrate abiotic and biotic factors to predict migratory behaviour. Critically, a multi-dimensional concept of vitality would greatly facilitate evaluation of the impact of various global change processes on the population dynamics of migratory birds.

Stability and variability of motivation to change in anorexia nervosa

Resistance to treatment is common among anorexic clients. Three studies indicated that although readiness to change and self-efficacy are applicable to this population, there is a large degree of variability and stability between symptoms. Multi-dimensional, continuous measures of readiness to change and self-efficacy may provide a more accurate, informative assessment.

Visualizing and classifying data using a hybrid intelligent system

In this paper, a hybrid intelligent system that integrates the SOM (Self-Organizing Map) neural network, kMER (kernel-based Maximum Entropy learning Rule), and Probabilistic Neural Network (PNN) for data visualization and classification is proposed. The rationales of this Probabilistic SOM-kMER model are explained, and its applicability is demonstrated using two benchmark data sets. The results are analyzed and compared with those from a number of existing methods. Implication of the proposed hybrid system as a useful and usable data visualization and classification tool is discussed.

Managing manufacturing technology investments: An intelligent learning system approach

This paper proposes an intelligent decision-support system for managing manufacturing technology investments. The intelligent system is a hybrid integration of two information processing modules: case-based reasoning and fuzzy ARTMAP – a supervised adaptive resonance theory (ART) neural network with a multi-dimensional map. The developed system captures a company's strategic information, provides facilities to quantify qualitative attributes and analyses them alongside the quantitative attributes in an evaluation framework. Through the system, similar cases can be retrieved to enable managers to make effective use of their knowledge and experience of previously delivered technologies and projects as an input to the prioritization of future projects. Other salient features of the system include its ability to adapt and absorb new knowledge and responses pertaining to significant events in the business environment, as well as to extract and elucidate information from the knowledge database for explaining and justifying its analysis. The applicability of the developed system is evaluated using a real case study in collaboration with a pharmaceutical manufacturing firm.

Towards a better understanding of how effective IT governance leads to business value : a literature review and future research directions

This paper reviews the existing literature on IT governance to assess whether IT governance has contributed to delivering business value from IT and if so, how. The conducted literature review has shown the scarce number of studies that focus on why and how effective IT governance may lead to business value. By using a structured literature review analysis, the paper has offered a number of insights to the topic of IT governance: a) provided a systematic definition of effective IT governance based on a multi-dimensional framework, b) listed benefits of effective IT governance, and c) identified mechanisms that lead effective IT governance to those benefits. This paper takes a step towards addressing the ‘why’ and ‘how’ knowledge gaps by synthesising the fragmented knowledge to provide the best that is known about the subject and to identify future research directions.

A review of the literature exploring the occupation of contemporary pilgrimage

Contemporary pilgrimage is a multi-dimensional, diverse and evolving occupation, not limited to overtly religious intentions or practices, which has not been explored in the occupational science literature. The purpose of this paper is to present an overview of the scholarly discourse as an important initial step toward understanding the occupation of pilgrimage and its impact on well-being. The discovery process within the literature was strategically refined yielding occupational science's first view of this expanding field of enquiry. This paper introduces the scope of the topic, defines key terms and explores the range of participation in contemporary pilgrimage. International evidence of increased popular interest and participation in pilgrimage is discussed, and the interdisciplinary evidence of the benefits to health and well-being experienced by pilgrims is summarised. This paper argues that occupational science could take a leading role in investigating the relationship between participation in pilgrimage and the experience of well-being for a range of people and populations.

Special issue : Computational intelligence models for image processing and information reasoning

Computational Intelligence (CI) models comprise robust computing methodologies with a high level of machine learning quotient. CI models, in general, are useful for designing computerized intelligent systems/machines that possess useful characteristics mimicking human behaviors and capabilities in solving complex tasks, e.g., learning, adaptation, and evolution. Examples of some popular CI models include fuzzy systems, artificial neural networks, evolutionary algorithms, multi-agent systems, decision trees, rough set theory, knowledge-based systems, and hybrid of these models. This special issue highlights how different computational intelligence models, coupled with other complementary techniques, can be used to handle problems encountered in image processing and information reasoning.