What do we mean by the term "inflammation"? A contemporary basic science update for sports medicine

Most practicing sports medicine clinicians refer to the concept of "inflammation" many times a day when diagnosing and treating acute and overuse injuries. What is meant by this term? Is it a "good" or a "bad" process? The major advances in the understanding of inflammation in recent years are summarised, and some clinical implications of the contemporary model of inflammation are highlighted.

Science, research and social change in Indigenous health – evolving ways of knowing

History tells us of the overwhelming destructive influence of exotic culture, politics and knowledge forms upon the worldview and wellbeing of Indigenous Australians. The power of dominant culture to oppress, control and dominate traditional Indigenous ways of knowing and being has been identified as a being a crucial influence on the health status, future hopes and aspirations of Indigenous Australians. Fundamental to this assertion is that the alienating effect of the belief in and application of the scientific method in relation to learning and knowing is a phenomenon that is incompatible with the law and cultural ways of traditional Indigenous people. The establishment of the Centre of Clinical Research Excellence (CCRE) is predicated upon and responds to a deep need in our community today to synthesise the ideological and epistemological premises of an increasing range of cultures and world views. It recognises that clinical research, for example, is important to the health of Aboriginal and Torres Strait Islander peoples, but also that the way such research is designed and carried out is also crucial to its potential to effect change in and improve the state of Indigenous health in Australia. This paper examines knowledge principles and processes associated with research in Indigenous communities, explores emerging research trends in science and proposes an epistemological framework for synthesis of traditional approaches with those of the scientific paradigm.

A conceptual model for sport services marketing research : integrating quality, value and satisfaction

This paper advances our understanding of the relationship between quality, value and satisfaction in the context of spectator sport services. This is achieved through an analysis and examination of relevant secondary data culminating in a conceptual model Although extensive research has been conducted in the three separate areas of quality, value and satisfaction, to date no work has been reported attempting to develop macro models that capture the concepts and their potential interrelationships. Such macro models could enhance the communication and stimulate further research for sport marketing scholars. This paper proposes a model apposite for further research and in the process leads to the potential confirmation, rejection or, indeed, adaptation of the conceplualization of sport services.

Clinical nurse research consultant : a clinical and academic role to advance practice and the discipline of nursing

Aims:  This article presents a proposal for the Clinical Nurse Research Consultant, a new nursing role. Background:  Although healthcare delivery continues to evolve, nursing has lacked highly specialized clinical and research leadership that, as a primary responsibility, drives evidence-based practice change in collaboration with bedside clinicians. Data sources:  International literature published over the last 25 years in the databases of CINAHL, OVID, Medline Pubmed, Science Direct, Expanded Academic, ESBSCOhost, Scopus and Proquest is cited to create a case for the Clinical Nurse Research Consultant. Discussion:  The Clinical Nurse Research Consultant will address the research/practice gap and assist in facilitating evidence-based clinical practice. To fulfil the responsibilities of this proposed role, the Clinical Nurse Research Consultant must be a doctorally prepared recognized clinical expert, have educational expertise, and possess advanced interpersonal, teamwork and communication skills. This role will enable clinical nurses to maintain and share their clinical expertise, advance practice through research and role model the clinical/research nexus. Implications for nursing:  Critically, the Clinical Nurse Research Consultant must be appointed in a clinical and academic partnership to provide for career progression and role support. Conclusion:  The creation of the Clinical Nurse Research Consultant will advance nursing practice and the discipline of nursing.

Towards a business analytics capability maturity model

Business analytics (BA) systems are an important strategic investment for many organisations and can potentially contribute significantly to firm performance. Establishing strong BA capabilities is currently one of the major concerns of chief information officers. This research project aims to develop a BA capability maturity model (BACMM). The BACMM will help organisations to scope and evaluate their BA initiatives. This research-in-progress paper describes the current BACMM, relates it to existing capability maturity models and explains its theoretical base. It also discusses the design science research approach being used to develop the BACMM and provides details of further work within the research project. Finally, the paper concludes with a discussion of how the BACMM might be used in practice.

A model to select processes for IT service management improvement

IT organisations are continually seeking improvements in managing IT service management processes. The selection of relevant processes to improve is one of the most crucial initial decisions to make in service improvement projects. In this paper, we focus on developing a process selection decision model using service perception factors from the Service Quality (SERV-QUAL) model and business drivers from the Balanced Scorecard perspectives along with the main objective of service improvement as improvement driver. We use a Design Science Research method to develop the model and then a prototype from our proposed model. We establish an evaluation protocol to determine the effectiveness of the prototype which will be demonstrated in a case organisation. The main contribution of the paper is to provide evidence-based decision support for IT service providers to select the most relevant service processes to improve.

Engaging clinicians in research: Issues to consider

The beginning of nursing research is attributed to Florence Nightingale whose research during the Crimean War in the 1850s ultimately shaped health care, including nursing practice. Modern research, like clinical care, is influenced by technological, societal, organisational and environmental changes. However, ‘nursing research’ is a simple term that may not encompass complex inter-related concepts and practices and various research methods: quantitative, qualitative, implementation science, evaluation and audit. All research methods follow a similar basic ‘research process,’ but the way the process is applied and rigor is demonstrated differs among the methods. All nurses must engage in research on some level, given they practice in a climate of evidence-based care and are expected to adhere to evidence-based protocols and guidelines. In addition, they need to be able to implement evidence-based best practice and use clinical judgement to treat each person as an individual.

Review of trust and machine ethics research: towards a bio-inspired computational model of ethical trust (CMET)

Recent advances in the fields of robotics, cyborg development, moral psychology, trust, multi agent-based systems and socionics have raised the need for a better understanding of ethics, moral reasoning, judgment and decision-making within the system of man and machines. Here we seek to understand key research questions concerning the interplay of ethical trust at the individual level and the social moral norms at the collective end. We review salient works in the fields of trust and machine ethics research, underscore the importance and the need for a deeper understanding of ethical trust at the individual level and the development of collective social moral norms. Drawing upon the recent findings from neural sciences on mirror-neuron system (MNS) and social cognition, we present a bio-inspired Computational Model of Ethical Trust (CMET) to allow investigations of the interplay of ethical trust and social moral norms.

An amoeboid algorithm for solving linear transportation problem

Transportation Problem (TP) is one of the basic operational research problems, which plays an important role in many practical applications. In this paper, a bio-inspired mathematical model is proposed to handle the Linear Transportation Problem (LTP) in directed networks by modifying the original amoeba model Physarum Solver. Several examples are used to prove that the provided model can effectively solve Balanced Transportation Problem (BTP), Unbalanced Transportation Problem (UTP), especially the Generalized Transportation Problem (GTP), in a nondiscrete way. © 2013 Elsevier B.V. All rights reserved.

Addressing migration-related social and health inequalities in Australia: call for research funding priorities to recognise the needs of migrant populations

Objective Migrants constitute 26% of the total Australian population and, although disproportionately affected by chronic diseases, they are under-represented in health research. The aim of the present study was to describe trends in Australian Research Council (ARC)- and National Health and Medical Research Council (NHMRC)-funded initiatives from 2002 to 2011 with a key focus on migration-related research funding.Methods Data on all NHMRC- and ARC-funded initiatives between 2002 and 2011 were collected from the research funding statistics and national competitive grants program data systems, respectively. The research funding expenditures within these two schemes were categorised into two major groups: (1) people focused (migrant-related and mainstream-related); and (2) basic science focused. Descriptive statistics were used to summarise the data and report the trends in NHMRC and ARC funding over the 10-year period.Results Over 10 years, the ARC funded 15 354 initiatives worth A$5.5 billion, with 897 (5.8%) people-focused projects funded, worth A$254.4 million. Migrant-related research constituted 7.8% of all people-focused research. The NHMRC funded 12 399 initiatives worth A$5.6 billion, with 447 (3.6%) people-focused projects funded, worth A$207.2 million. Migrant-related research accounted for 6.2% of all people-focused initiatives.Conclusions Although migrant groups are disproportionately affected by social and health inequalities, the findings of the present study show that migrant-related research is inadequately funded compared with mainstream-related research. Unless equitable research funding is achieved, it will be impossible to build a strong evidence base for planning effective measures to reduce these inequalities among migrants.What is known about the topic? Immigration is on the rise in most developing countries, including Australia, and most migrants come from low- and middle-income countries. In Australia, migrants constitute 26% of the total Australian population and include refugee and asylum seeker population groups. Migrants are disproportionately affected by disease, yet they have been found to be under-represented in health research and public health interventions.What does this paper add? This paper highlights the disproportions in research funding for research among migrants. Despite migrants being disproportionately affected by disease burden, research into their health conditions and risk factors is grossly underfunded compared with the mainstream population.What are the implications for practitioners? Migrants represent a significant proportion of the Australian population and hence are capable of incurring high costs to the Australian health system. There are two major implications for practitioners. First, the migrant population is constantly growing, therefore integrating the needs of migrants into the development of health policy is important in ensuring equity across health service delivery and utilisation in Australia. Second, the health needs of migrants will only be uncovered when a clear picture of their true health status and other determinants of health, such as psychological, economic, social and cultural, are identified through empirical research studies. Unless equitable research funding is achieved, it will be impossible to build a strong evidence base for planning effective measures to reduce health and social inequalities among migrant communities.

What will affect software reuse: a causal model analysis

Software reuse is an important topic due to its potential benefits in increasing product quality and decreasing cost. Although more and more people are aware that not only technical issues, but also nontechnical issues are important to the success of software reuse, people are still not certain which factors will have direct effect on the success of reuse. In this paper, we applied a causal discovery algorithm to the software reuse survey data [2]. Ensemble strategy is incorporated to locate a probable causal model structure for software reuse, and find all those factors which have direct effect on the success of reuse. Our discovery results reinforced some conclusions of Morisio et al. and found some new conclusions which might significantly improve the odds of a reuse project succeeding.

Science in school and society

This article describes the insights generated from a series of focus groups conducted around significant areas of science research and development, with practitioners of science and technology, and policy and education people from industry and government. The participants in these groups had a great deal to say about how important the understandings and attitudes of members of the community were to their field of activity, as well as the way science is practiced in contemporary settings. On the basis of the evidence we argue that school science should take as its focus the development of understandings of, and attitudes to, science for citizens generally. We suggest that this means, for both future citizens and scientists, that practice in school science needs to change to better represent contemporary science practice.

Explaining and predicting information systems acceptance and success: an integrative model

This paper proposes a new model – the Information Systems Acceptance (ISA) model - to explain and predict IS acceptance. Drawing on previous literature, and the results of a series of case studies, the ISA model integrates four sets of factors influencing IS acceptance: (i) technology characteristics; (ii) management actions; (iii) service quality; and (iv) system use, user satisfaction and system outcomes. These sets of factors are drawn from well-established frameworks. Building on established theories, the model incorporates previous research, overcomes some of the limitations associated with these individual theories, and assembles IS acceptance factors into a comprehensive and useable conceptual framework.