The deleterious effects of oxidative and nitrosative stress on palmitoylation, membrane lipid rafts and lipid-based cellular signalling : new drug targets in neuroimmune disorders

Oxidative and nitrosative stress (O&NS) is causatively implicated in the pathogenesis of Alzheimer’s and Parkinson’s disease, multiple sclerosis, chronic fatigue syndrome, schizophrenia and depression. Many of the consequences stemming from O&NS, including damage to proteins, lipids and DNA, are well known, whereas the effects of O&NS on lipoprotein-based cellular signalling involving palmitoylation and plasma membrane lipid rafts are less well documented. The aim of this narrative review is to discuss the mechanisms involved in lipid-based signalling, including palmitoylation, membrane/lipid raft (MLR) and n-3 polyunsaturated fatty acid (PUFA) functions, the effects of O&NS processes on these processes and their role in the abovementioned diseases. S-palmitoylation is a post-translational modification, which regulates protein trafficking and association with the plasma membrane, protein subcellular location and functions. Palmitoylation and MRLs play a key role in neuronal functions, including glutamatergic neurotransmission, and immune-inflammatory responses. Palmitoylation, MLRs and n-3 PUFAs are vulnerable to the corruptive effects of O&NS. Chronic O&NS inhibits palmitoylation and causes profound changes in lipid membrane composition, e.g. n-3 PUFA depletion, increased membrane permeability and reduced fluidity, which together lead to disorders in intracellular signal transduction, receptor dysfunction and increased neurotoxicity. Disruption of lipid-based signalling is a source of the neuroimmune disorders involved in the pathophysiology of the abovementioned diseases. n-3 PUFA supplementation is a rational therapeutic approach targeting disruptions in lipid-based signalling.

Using smartphones for accountable care and evidence-based decision making in managing gestational diabetes : an Australian case study

Better managing diabetes has become a global priority, especially given the exponential increase in the number of diabetes patients and the financial implications of treating this silent epidemic. In this paper, we focus on how it might be possible to use a mobile technology solution to support and enable superior diabetes monitoring and management. To test this solution, we examined the context of gestational diabetes and adopted a non-blinded randomized control trial with two-arm cross over applied to a private hospital in Victoria, Australia. Further, we use an accountable care system as the theoretical lens and, from this, develop a conceptual framework to bridge evidence-based management with technologies. Theoretically, we unpack McCleallan, McKethan, Lewis, Roski, and Fisher’s (2010) study with our conceptual framework that comprises providers for information (evidence-based management) and technology (smartphone). We enhance Muhlestein, Croshaw, Merrill, Pena, and James’ (2013) accountable care paradigm with three concepts: 1) quality of life, 2) evidence-based management, and 3) affordable care. From the perspective of practice, far-reaching implications have arisen particularly for hospital management pertaining to the cost and quality of care issues. In particular, it appears that adapting mobile technology solutions such as smartphones to support various aspects of care and patient-clinician interactions is a prudent choice to minimize costs and yet provide highquality care.

Validity of treadmill- and track-based individual calibration methods for estimating free-living walking speed and VO2 using the Actigraph accelerometer

BACKGROUND: For many patients clinical prescription of walking will be beneficial to health and accelerometers can be used to monitor their walking intensity, frequency and duration over many days. Walking intensity should include establishment of individual specific accelerometer count, walking speed and energy expenditure (VO2) relationships and this can be achieved using a walking protocol on a treadmill or overground. However, differences in gait mechanics during treadmill compared to overground walking may result in inaccurate estimations of free-living walking speed and VO2. The aims of this study were to compare the validity of track- and treadmill-based calibration methods for estimating free-living level walking speed and VO2 and to explain between-method differences in accuracy of estimation.

METHODS: Fifty healthy adults [32 women and 18 men; mean (SD): 40 (13) years] walked at four pre-determined speeds on an outdoor track and a treadmill, and completed three 1-km self-paced level walks while wearing an Actigraph monitor and a mobile oxygen analyser. Speed- and VO2-to-Actigraph count individual calibration equations were computed for each calibration method. Between-method differences in calibration equation parameters, prediction errors, and relationships of walking speed with VO2 and Actigraph counts were assessed. RESULTS: The treadmill-calibration equation overestimated free-living walking speed (on average, by 0.7 km · h(-1)) and VO2 (by 4.99 ml · kg(-1) · min(-1)), while the track-calibration equation did not. This was because treadmill walking, from which the calibration equation was derived, produced lower Actigraph counts and higher VO2 for a given walking speed compared to walking on a track. The prediction error associated with the use of the treadmill-calibration method increased with free-living walking speed. This issue was not observed when using the track-calibration method. CONCLUSIONS: The proposed track-based individual accelerometer calibration method can provide accurate and unbiased estimates of free-living walking speed and VO2 from walking. The treadmill-based calibration produces calibration equations that tend to substantially overestimate both VO2 and speed.

Biased experts and similarity based weights in preferences aggregation

In a group decision making setting, we consider the potential impact an expert can have on the overall ranking by providing a biased assessment of the alternatives that differs substantially from the majority opinion. In the framework of similarity based averaging functions, we show that some alternative approaches to weighting the experts' inputs during the aggregation process can minimize the influence the biased expert is able to exert.

The role of participative leadership and trust-based mechanisms in eliciting intern performance: evidence from China.

In this article, we investigate the relationship between participative leadership and job performance within the internship setting. Based on two-waves of survey data obtained from 309 intern-supervisor dyads, we find that participative leadership has a positive relationship with job performance, and that affective trust mediates that relationship. We also find that although cognitive trust is not significantly related to intern job performance, it mediates the relationship between participative leadership and affective trust. Our findings contradict those of previous research which question the effectiveness of participative leadership in short-term employment situations such as internships. They also highlight the importance of designing internships to be reflective of typical performance situations, characterized by participative leadership practices, rather than more directive leadership practices.

Control and performance in IS projects: a meta-analysis of hierarchical and market-based control relationships

Literature on IS project control distinguishes between hierarchical and market-based control relationships. Prior studies typically investigate one of these two forms of control relationships in isolation. Hence, little is known about the differences between hierarchical and market-based control relationships. Responding to this gap, we analyze how the effects of control modes on IS project performance differ in hierarchical compared with market-based control relationships. Specifically, we conduct a metaanalysis to compare the effects of control modes on IS project performance reported in research on hierarchical and market-based control relationships. The results suggest that the effects of behavior and self-control on performance differ between these two forms of control relationships. Based on our results, we derive implications for complementary and substitutive effects between control modes, and for interrelations among hierarchical and market-based control relationships.

Urban codes : abstraction and case-based approaches to algorithmic design and implications for the design of contemporary cities

This paper reports on a comparative study that evaluates two approaches to support the learning and use of algorithmic design in architecture, and extrapolates from this to consider applications for the algorithmic design of cities. The study explored two methods to reduce the barriers of using programming and potentially improve design performance. The first is the reuse of abstract algorithmic ‘patterns’. The second approach is the reuse of algorithmic solutions from specific design cases (case-based design). Reflecting on this research we outline how our findings discussed in relation to alternate thinking on the use of pattern, might inform a hybrid approach to the algorithmic design of cities.

Online and internet-based technologies: gaming

There are high expectations of the educational value of online games and immersive, virtual worlds. Digital games, if used for educational purposes, it is argued, have the capacity to transform learning, engage disenchanted students, address major differences in experience and orientation in out-of-school and in-school contexts, teach twenty-first-century literacies and prepare learners to become tech savvy, critical and agential participants – ‘knowledge workers’ (Gee et al., 1996) – in a technologically saturated world. As governments and other institutions seek to respond to rapid and massive technological change, the use of games-based learning via online and mobile Internet-based technologies is seen as providing much potential for innovative, effective and accessible contemporary teaching and learning. While there is considerable enthusiasm for the use of games to support learning, however, research focusing on these areas is fragmented and provides a more mixed picture of their use.Games studies as an interdisciplinary field is informed by quite different research traditions and trajectories, each with its own epistemological framework and assumptions. In this chapter, the focus is on games and learning as they relate to formal educational contexts, particularly schools. The chapter begins with an overview of some of the key issues and assumptions related to the use of online games for educational purposes. This is followed by a discussion of four major disciplinary orientations towards games: perspectives and approaches drawn from humanities and social science; explorations of literacy and media production from media and cultural studies; the study of games themselves within the formally designated, eponymous area of games studies; and technical and educational approaches based in the fields of e-learning and instructional design. This section concludes with an extended discussion of the use of Second Life, which canvasses the main approaches to its use, and goes on to provide a detailed account of the use of Second Life to foster argumentative knowledge construction in Singapore secondary schools (Jamaludin et al., 2009). This is followed by an account of ongoing tensions between research traditions and a discussion of issues for further development and insights for the future. The chapter concludes with a summary of key points and suggestions for further reading in the games and learning area.

Integrating plant- and animal- based perspectives for more effective restoration of biodiversity

Ecological restoration of modified and degraded landscapes is an important challenge for the 21st century, with potential for major gains in the recovery of biodiversity. However, there is a general lack of agreement between plant- and animal- based approaches to restoration, both in theory and practice. Here, we review these approaches, identify limitations from failing to effectively integrate their different perspectives, and suggest ways to improve outcomes for biodiversity recovery in agricultural landscapes. We highlight the need to strengthen collaboration between plant and animal ecologists, to overcome disciplinary and cultural differences, and to achieve a more unified approach to restoration ecology. Explicit consideration of key ecosystem functions, the need to plan at multiple spatial and temporal scales, and the importance of plant-animal interactions can provide a bridge between plant- and animal- based methods. A systematic approach to restoration planning is critical to achieving effective biodiversity outcomes while meeting long- term social and economic needs.

Prospective memory while driving : comparison of time- and event-based intentions

Prospective memories can divert attentional resources from ongoing activities. However, it is unclear whether these effects and the theoretical accounts that seek to explain them will generalise to a complex real-world task such as driving. Twenty-four participants drove two simulated routes while maintaining a fixed headway with a lead vehicle. Drivers were given either event-based (e.g. arriving at a filling station) or time-based errands (e.g. on-board clock shows 3:30). In contrast to the predominant view in the literature which suggests time-based tasks are more demanding, drivers given event-based errands showed greater difficulty in mirroring lead vehicle speed changes compared to the time-based group. Results suggest that common everyday secondary tasks, such as scouting the roadside for a bank, may have a detrimental impact on driving performance. The additional finding that this cost was only evident with the event-based task highlights a potential area of both theoretical and practical interest. Practitioner Summary: Drivers were given either time- or event-based errands whilst engaged in a simulated drive. We examined the effect of errands on an ongoing vehicle follow task. In contrast to previous non-driving studies, event-based errands are more disruptive. Common everyday errands may have a detrimental impact on driving performance.

Collaborative reflective experience and practice in education explored through self-study and arts-based research

Eight teacher educators used self-study methodology to engage in reflective practice to overcome their isolation as individual teachers and researchers, and to facilitate professional development. Their research question asked: How can we continue to develop our teaching practice to ensure we are high quality, contemporary teacher educators? They contributed collaboratively in one overarching research project as well as through several focussed projects that explored issues in their individual teaching practices including: sustainability, creativity, curriculum design, pedagogy, assessment, and the learning experiences for students. This paper explores the outcomes from collaborative inquiry that five of the eight educator/researchers engaged in during a research-writing retreat. It documents their experience using arts-based strategies in which drawings were created about their experiences of engaging in a collaborative project and smaller focussed self-study projects. Analysis involved inquiring into each other’s drawings through recorded conversation. The metaphoric representations found through analysing the drawings provided insight into participants’ teaching practices and identities as teacher educators. Six months later when the participants had developed their projects further and used other artsbased methods to understand these experiences, they reflected on the key issues for their teaching practices that had arisen from undertaking this Collaborative Reflective Experience and Practice in Education research. Arts-based inquiries and reflective analysis over six months, constitute this paper. The experiences and analyses are shared to show how creating and sharing metaphoric meaning of visual representations is useful in self-study research to drill down into the real issues. Importantly, this in-depth sharing provides authentic interdisciplinary links when individual educators share their own approaches to teaching in their disciplined area. Findings suggest that gaining new insights into each other’s discipline-based approaches to teacher education through these methods, revealed different responses to pedagogical challenges and allowed for new possibilities for understanding the landscape of teacher education.

Short-term debt maturity, monitoring and accruals-based earnings management

Most prior studies assume a positive relation between debt and earnings management, consistent with the financial distress theory. However, the empirical evidence for financial distress theory is mixed. Another stream of studies argues that lenders of short-term debt play a monitoring role over management, especially when the firm's creditworthiness is not in doubt. To explore the implications of these arguments on managers' earnings management incentives, we examine a sample of US firms over the period 2003-2006 and find that short-term debt is positively associated with accruals-based earnings management (measured by discretionary accruals), consistent with the financial distress theory. We also find that this relation is significantly weaker for firms that are of higher creditworthiness (i.e. investment grade firms), consistent with monitoring benefits outweighing financial distress reasons for managing earnings.

An Examination of the merits of a human rights-based approach to higher education teaching and learning, compared with welfare and market-based approaches.

The thesis concludes that a human rights-based approach to higher education will produce better teaching and learning outcomes than welfare state or market-based approaches. It is intended that this research might influence an improvement in policy-making, identify a ‘feasible utopia’ for higher education, and contribute to discussion about the public interest role of higher education.

Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks

Network traffic analysis has been one of the most crucial techniques for preserving a large-scale IP backbone network. Despite its importance, large-scale network traffic monitoring techniques suffer from some technical and mercantile issues to obtain precise network traffic data. Though the network traffic estimation method has been the most prevalent technique for acquiring network traffic, it still has a great number of problems that need solving. With the development of the scale of our networks, the level of the ill-posed property of the network traffic estimation problem is more deteriorated. Besides, the statistical features of network traffic have changed greatly in terms of current network architectures and applications. Motivated by that, in this paper, we propose a network traffic prediction and estimation method respectively. We first use a deep learning architecture to explore the dynamic properties of network traffic, and then propose a novel network traffic prediction approach based on a deep belief network. We further propose a network traffic estimation method utilizing the deep belief network via link counts and routing information. We validate the effectiveness of our methodologies by real data sets from the Abilene and GÉANT backbone networks.