Promoting physical activity in Australian general practices: a randomised trial of health promotion advice versus hypertension management

A randomised controlled trial was conducted to determine if physicians' advice to promote physical activity to patients was more effective if the advice was tailored to the management of hypertension, compared with more general health promotion advice. Participants included inactive 40- to 70-year-old patients visiting the physicians' during study recruitment period. Physicians provided verbal physical activity advice and written materials, both tailored to either general health promotion messages or specifically as a means for treating or managing hypertension. Seventy-five physicians and 98% (767/780) of screened eligible patients participated in the study. Differences between intervention and control groups self-reported physical activity were assessed over 6 months. Follow-up response rates were 92 and 84% at the 2- and 6-month assessments. There were no consistent, significant differences between groups at the 2- or 6-month assessments. Thus, neither intervention strategy resulted in significant changes in patients self-reported physical activity, regardless of the whether the advice was tailored to hypertension management or general health promotion advice. (c) 2004 Elsevier Ireland Ltd. All rights reserved.

Research in leadership, self, and identity: A sample of the present and a glimpse of the future

Researchers in leadership effectiveness are paying increasing attention to the role of follower self-concept and identity as a mediator and moderator of the effectiveness of leadership. In this introductory article, we provide a short outline of this rapidly growing field of research, briefly introduce the articles presented in this special issue on leadership, self, and identity, and highlight key themes for future research that we feel emerge from these studies. These themes include greater attention to the dynamic interplay between leaders and followers, the incorporation of theories of fairness, and the role of leader self-concept. (c) 2005 Elsevier Inc. All rights reserved.

Levinasian ethics and the representation of the other in international and cross-cultural management

In this paper, we seek to further the discussion, problematization and critique of west/east identity relations in ICM studies by considering the ethics of the relationship – an issue never far beneath the surface in discussions of Orientalism. In particular we seek to both examine and question the ethics of representation in relation to a critique of what has come to be known as international and cross-cultural management (ICM). To pursue such a discussion, we draw specifically on the ethical elaborations of Emmanuel Levinas as well as his chief interlocutors Jacques Derrida and Zygmunt Bauman. The value of this discussion, we propose, is that Levinas offers a philosophy that holds as its central concept the relationship between the self and Other as the primary ethical and pre-ontological relation. Levinas’ philosophy provides a means of extending the post-colonial critique of ICM, and ICM provides a context in which the Levinasian ethics can be brought to bear on a significant issue on contemporary business and management.

Understanding policy implementation processes as self-organizing systems

Implementation studies and related research in organizational theory can be enhanced by drawing on the field of complex systems to understand better and, as a consequence, more successfully manage change. This article reinterprets data previously published in the British Journal of Management to reveal a new contribution, that policy implementation processes should be understood as a self-organizing system in which adaptive abilities are extremely important for stakeholders. In other words, national policy is reinterpreted at the local level, with each local organization uniquely mixing elements of national policy with their own requirements making policy implementation unpredictable and more sketchy. The original article explained different paces and directions of change in terms of traditional management processes: leadership, politics, implementation and vision. By reinterpreting the data, it is possible to reveal that deeper level processes, which are more emergent, are also at work influencing change, which the authors label possibility space. Implications for theory, policy and practice are identified.

Determining consumer satisfaction and commitment through self-service technology and personal service usage

This paper expands research into self-service technology in the service encounter. Self-service technology is where customers deliver service themselves using some form of a technological interface. There is still a great deal unknown about self-service technology, in particular its impact on consumer satisfaction and consumer commitment. With that in mind, this empirical study explores the relative impact of self-service technology on consumer satisfaction and on a multidimensional measure of consumer commitment containing affective commitment, temporal commitment and instrumental commitment. The results reveal that in a hotel context personal service still remains very important for assessments of satisfaction, and affective and temporal commitment. What is particularly interesting is that self-service technology, while impacting these constructs, also impacts instrumental commitment. This suggests that positive evaluations of self-service technology may tie consumers into relationships with hotels. A discussion and implications for managers are provided on these and other results, and the paper is concluded with further potential research.

Mathematical and numerical modelling of dispersion-managed solitons, autosolitons and self-similar optical pulses

This thesis presents theoretical investigation of three topics concerned with nonlinear optical pulse propagation in optical fibres. The techniques used are mathematical analysis and numerical modelling. Firstly, dispersion-managed (DM) solitons in fibre lines employing a weak dispersion map are analysed by means of a perturbation approach. In the case of small dispersion map strengths the average pulse dynamics is described by a perturbation approach (NLS) equation. Applying a perturbation theory, based on the Inverse Scattering Transform method, an analytic expression for the envelope of the DM soliton is derived. This expression correctly predicts the power enhancement arising from the dispersion management.Secondly, autosoliton transmission in DM fibre systems with periodical in-line deployment of nonlinear optical loop mirrors (NOLMs) is investigated. The use of in-line NOLMs is addressed as a general technique for all-optical passive 2R regeneration of return-to-zero data in high speed transmission system with strong dispersion management. By system optimisation, the feasibility of ultra-long single-channel and wavelength-division multiplexed data transmission at bit-rates ³ 40 Gbit s-1 in standard fibre-based systems is demonstrated. The tolerance limits of the results are defined.Thirdly, solutions of the NLS equation with gain and normal dispersion, that describes optical pulse propagation in an amplifying medium, are examined. A self-similar parabolic solution in the energy-containing core of the pulse is matched through Painlevé functions to the linear low-amplitude tails. The analysis provides a full description of the features of high-power pulses generated in an amplifying medium.

Dynamic QoS management and optimisation in service-based systems

Service-based systems that are dynamically composed at run time to provide complex, adaptive functionality are currently one of the main development paradigms in software engineering. However, the Quality of Service (QoS) delivered by these systems remains an important concern, and needs to be managed in an equally adaptive and predictable way. To address this need, we introduce a novel, tool-supported framework for the development of adaptive service-based systems called QoSMOS (QoS Management and Optimisation of Service-based systems). QoSMOS can be used to develop service-based systems that achieve their QoS requirements through dynamically adapting to changes in the system state, environment and workload. QoSMOS service-based systems translate high-level QoS requirements specified by their administrators into probabilistic temporal logic formulae, which are then formally and automatically analysed to identify and enforce optimal system configurations. The QoSMOS self-adaptation mechanism can handle reliability- and performance-related QoS requirements, and can be integrated into newly developed solutions or legacy systems. The effectiveness and scalability of the approach are validated using simulations and a set of experiments based on an implementation of an adaptive service-based system for remote medical assistance.

Self-regulation of health and safety in a Local Authority with particular reference to safety representatives, supervisors and safety committees

The Report of the Robens Committee (1972), the Health and Safety at Work Act (1974) and the Safety Representatives and Safety Committees Regulations (1977) provide the framework within which this study of certain aspects of health and safety is carried out. The philosophy of self-regulation is considered and its development is set within an historical and an industrial relations perspective. The research uses a case study approach to examine the effectiveness of self-regulation in health and safety in a public sector organisation. Within this approach, methodological triangulation employs the techniques of interviews, questionnaires, observation and documentary analysis. The work is based in four departments of a Scottish Local Authority and particular attention is given to three of the main 'agents' of self-regulation - safety representatives, supervisors and safety committees and their interactions, strategies and effectiveness. A behavioural approach is taken in considering the attitudes, values, motives and interactions of safety representatives and management. Major internal and external factors, which interact and which influence the effectiveness of joint self-regulation of health and safety, are identified. It is emphasised that an organisation cannot be studied without consideration of the context within which it operates both locally and in the wider environment. One of these factors, organisational structure, is described as bureaucratic and the model of a Representative Bureaucracy described by Gouldner (1954) is compared with findings from the present study. An attempt is made to ascertain how closely the Local Authority fits Gouldner's model. This research contributes both to knowledge and to theory in the subject area by providing an in-depth study of self-regulation in a public sector organisation, which when compared with such studies as those of Beaumont (1980, 1981, 1982) highlights some of the differences between the public and private sectors. Both empirical data and hypothetical models are used to provide description and explanation of the operation of the health and safety system in the Local Authority. As data were collected during a dynamic period in economic, political and social terms, the research discusses some of the effects of the current economic recession upon safety organisation.

Self-training from labeled features for sentiment analysis

Sentiment analysis concerns about automatically identifying sentiment or opinion expressed in a given piece of text. Most prior work either use prior lexical knowledge defined as sentiment polarity of words or view the task as a text classification problem and rely on labeled corpora to train a sentiment classifier. While lexicon-based approaches do not adapt well to different domains, corpus-based approaches require expensive manual annotation effort. In this paper, we propose a novel framework where an initial classifier is learned by incorporating prior information extracted from an existing sentiment lexicon with preferences on expectations of sentiment labels of those lexicon words being expressed using generalized expectation criteria. Documents classified with high confidence are then used as pseudo-labeled examples for automatical domain-specific feature acquisition. The word-class distributions of such self-learned features are estimated from the pseudo-labeled examples and are used to train another classifier by constraining the model's predictions on unlabeled instances. Experiments on both the movie-review data and the multi-domain sentiment dataset show that our approach attains comparable or better performance than existing weakly-supervised sentiment classification methods despite using no labeled documents.

Quantifying short-term dynamics of Parkinson's disease using self-reported symptom data from an internet social network

Background: Parkinson’s disease (PD) is an incurable neurological disease with approximately 0.3% prevalence. The hallmark symptom is gradual movement deterioration. Current scientific consensus about disease progression holds that symptoms will worsen smoothly over time unless treated. Accurate information about symptom dynamics is of critical importance to patients, caregivers, and the scientific community for the design of new treatments, clinical decision making, and individual disease management. Long-term studies characterize the typical time course of the disease as an early linear progression gradually reaching a plateau in later stages. However, symptom dynamics over durations of days to weeks remains unquantified. Currently, there is a scarcity of objective clinical information about symptom dynamics at intervals shorter than 3 months stretching over several years, but Internet-based patient self-report platforms may change this. Objective: To assess the clinical value of online self-reported PD symptom data recorded by users of the health-focused Internet social research platform PatientsLikeMe (PLM), in which patients quantify their symptoms on a regular basis on a subset of the Unified Parkinson’s Disease Ratings Scale (UPDRS). By analyzing this data, we aim for a scientific window on the nature of symptom dynamics for assessment intervals shorter than 3 months over durations of several years. Methods: Online self-reported data was validated against the gold standard Parkinson’s Disease Data and Organizing Center (PD-DOC) database, containing clinical symptom data at intervals greater than 3 months. The data were compared visually using quantile-quantile plots, and numerically using the Kolmogorov-Smirnov test. By using a simple piecewise linear trend estimation algorithm, the PLM data was smoothed to separate random fluctuations from continuous symptom dynamics. Subtracting the trends from the original data revealed random fluctuations in symptom severity. The average magnitude of fluctuations versus time since diagnosis was modeled by using a gamma generalized linear model. Results: Distributions of ages at diagnosis and UPDRS in the PLM and PD-DOC databases were broadly consistent. The PLM patients were systematically younger than the PD-DOC patients and showed increased symptom severity in the PD off state. The average fluctuation in symptoms (UPDRS Parts I and II) was 2.6 points at the time of diagnosis, rising to 5.9 points 16 years after diagnosis. This fluctuation exceeds the estimated minimal and moderate clinically important differences, respectively. Not all patients conformed to the current clinical picture of gradual, smooth changes: many patients had regimes where symptom severity varied in an unpredictable manner, or underwent large rapid changes in an otherwise more stable progression. Conclusions: This information about short-term PD symptom dynamics contributes new scientific understanding about the disease progression, currently very costly to obtain without self-administered Internet-based reporting. This understanding should have implications for the optimization of clinical trials into new treatments and for the choice of treatment decision timescales.