Sitting-time and 9-year all-cause mortality in older women

Background Studies of mid-aged adults provide evidence of a relationship between sitting-time and all-cause mortality, but evidence in older adults is limited. The aim is to examine the relationship between total sitting-time and all-cause mortality in older women. Methods The prospective cohort design involved 6656 participants in the Australian Longitudinal Study on Women's Health who were followed for up to 9 years (2002, age 76–81, to 2011, age 85–90). Self-reported total sitting-time was linked to all-cause mortality data from the National Death Index from 2002 to 2011. Cox proportional hazard models were used to examine the relationship between sitting-time and all-cause mortality, with adjustment for potential sociodemographic, behavioural and health confounders. Results There were 2003 (30.1%) deaths during a median follow-up of 6 years. Compared with participants who sat <4 h/day, those who sat 8–11 h/day had a 1.45 times higher risk of death and those who sat ≥11 h/day had a 1.65 times higher risk of death. These risks remained after adding sociodemographic and behavioural covariates, but were attenuated after adjustment for health covariates. A significant interaction (p=0.02) was found between sitting-time and physical activity (PA), with increased mortality risk for prolonged sitting only among participants not meeting PA guidelines (HR for sitting ≥8 h/day: 1.31, 95% CI 1.07 to 1.61); HR for sitting ≥11 h/day: 1.47, CI 1.15 to 1.93). Conclusions Prolonged sitting-time was positively associated with all-cause mortality. Women who reported sitting for more than 8 h/day and did not meet PA guidelines had an increased risk of dying within the next 9 years.

Data distribution and task scheduling for distributed computing of all-to-all comparison problems

This research studied distributed computing of all-to-all comparison problems with big data sets. The thesis formalised the problem, and developed a high-performance and scalable computing framework with a programming model, data distribution strategies and task scheduling policies to solve the problem. The study considered storage usage, data locality and load balancing for performance improvement in solving the problem. The research outcomes can be applied in bioinformatics, biometrics and data mining and other domains in which all-to-all comparisons are a typical computing pattern.

Economic consideration for reducing hospital presentations among patients with decompensated cirrhosis: not all presentations avoided can be considered equal

Individuals with decompensated cirrhosis and ascites requiring paracentesis utilize exceptionally high levels of hospital resources. Consequently, potential modifications to existing models of healthcare to assist patients in the management of their liver disease and reduce the need for hospital encounters have potential to improve patients’ health and reduce demand on acute hospital services. However, there is a paucity of data examining how much healthcare resources could be re-directed to interventions that prevent hospitalizations without net annual budgetary disadvantage (from the hospital’s perspective). The purpose of this study was to probabilistically examine how much healthcare resourcing could be saved per hospital presentation avoided among this clinical population.

Enterprise education: For all, or just some?

Purpose The purpose of this paper is to provocatively enter four imagined worlds of enterprise education with the express aim of contemplating an emerging future. The authors do so not to expressly determine what positioning is most appropriate for enterprise/entrepreneurship education, but rather to consider the issues associated with each of the four imagined worlds. Design/methodology/approach The authors’ approach is built around a combination of cycles of reflective practice and the use of scenario development processes. The authors seek to suspend their collective judgement whilst entering the four imagined worlds, but ultimately do not claim to have hidden their personal biases. Findings It is concluded that enterprise/entrepreneurship education should be shared across the university and not owned by any school or faculty. While the authors find it difficult to dismiss the underlying purpose of each scenario, they sense an opportunity to unite their common focus on the development of a transformative student experience. Practical implications This process has provided unexpected insights into the potential of scenario planning as a tool that could conceivably be employed more often to tackle complex issues, such as the positioning of enterprise/entrepreneurship education in Higher Education. Originality/value This paper, despite its inherent biases, offers the reader an opportunity to gain a sense of the various roles forced upon enterprise/entrepreneurship education by its various key stakeholders. In doing so, the shortcomings of the current situation are highlighted.

Planning neighbourhoods for all ages and abilities: A multi-generational perspective

Taking a more integrated approach to planning our neighbourhoods for the continuum of inhabitants’ ages and abilities makes sense given our current and future population composition. Seldom are the built environment requirements of diverse groups (e.g. children, seniors, and people with disability) synthesised, resulting in often unfriendly and exclusionary neighbourhoods. This often means people experience barriers or restriction on their freedom to move about and interact within their neighbourhood. Applying universal design to neighbourhoods may provide a bridging link. By presenting two cases from South-East Queensland (SEQ), Australia, through the lenses of different ages and abilities - older children with physical disabilities and their families (Stafford 2013, 2014) and seniors (Baldwin et al. 2012), we intend to increase recognition of users' needs and stimulate the translation of knowledge to the practice of planning inclusive neighbourhoods.

Not all corporate tax avoiders will be snared by new rules

Hockey’s budget announcement of two major tax integrity measures was flagged before the budget was handed down, but even that came as no surprise. Integrity, or lack thereof, in our tax system is a hot topic and an easy target for a Treasurer looking to sell a federal budget. The first of the proposed changes is to our GST regime. No-one likes hearing that they will be paying more tax. But, the charging of GST on supplies of digital products and services in Australia by an off-shore supplier will at least make sense to the general public. With the inherent unfairness in the current system and a revenue raising prediction of A$350 million over the next four years, most are likely to accept the logic of such a measure. The second of the proposed changes are new laws to be included in Australia’s general anti-avoidance provision. New laws, which will apply from 1 January 2016, are aimed at multinational companies engaged in aggressive tax practices. The proposed anti-avoidance law is designed to stop multinationals that artificially avoid a taxable presence in Australia. It is difficult to see how this strategy of addressing specific behaviour through what is considered a general provision will work. And, it is these changes that are already causing confusion.

Data-aware task scheduling for all-to-all comparison problems in heterogeneous distributed systems

Solving large-scale all-to-all comparison problems using distributed computing is increasingly significant for various applications. Previous efforts to implement distributed all-to-all comparison frameworks have treated the two phases of data distribution and comparison task scheduling separately. This leads to high storage demands as well as poor data locality for the comparison tasks, thus creating a need to redistribute the data at runtime. Furthermore, most previous methods have been developed for homogeneous computing environments, so their overall performance is degraded even further when they are used in heterogeneous distributed systems. To tackle these challenges, this paper presents a data-aware task scheduling approach for solving all-to-all comparison problems in heterogeneous distributed systems. The approach formulates the requirements for data distribution and comparison task scheduling simultaneously as a constrained optimization problem. Then, metaheuristic data pre-scheduling and dynamic task scheduling strategies are developed along with an algorithmic implementation to solve the problem. The approach provides perfect data locality for all comparison tasks, avoiding rearrangement of data at runtime. It achieves load balancing among heterogeneous computing nodes, thus enhancing the overall computation time. It also reduces data storage requirements across the network. The effectiveness of the approach is demonstrated through experimental studies.

Editorial: In 2035, will all bacteria be multidrug-resistant? No

The spread of multidrug-resistant (MDR) bacteria has reached a threatening level. Extended-spectrum betalactamase- producing enterobacteriaceae (ESBLE) are now endemic in many hospitals worldwide as well as in the community, while resistance rates continue to rise steadily in Acinetobacter baumannii and Pseudomonas aeruginosa [1]. Even more alarming is the dissemination of carbapenemase-producing enterobacteriaceae (CPE), causing therapeutic and organizational problems in hospitals facing outbreaks or endemicity. This context could elicit serious concerns for the coming two decades; nevertheless, effective measures exist to stop the amplification of the problem and several axes of prevention remain to be fully exploited, leaving room for realistic hopes, at least for many parts of the world...