Graph Sample and Hold: A Framework for Big-Graph Analytics

Sampling is a standard approach in big-graph analytics; the goal is to efficiently estimate the graph properties by consulting a sample of the whole population. A perfect sample is assumed to mirror every property of the whole population. Unfortunately, such a perfect sample is hard to collect in complex populations such as graphs (e.g. web graphs, social networks etc), where an underlying network connects the units of the population. Therefore, a good sample will be representative in the sense that graph properties of interest can be estimated with a known degree of accuracy. While previous work focused particularly on sampling schemes used to estimate certain graph properties (e.g. triangle count), much less is known for the case when we need to estimate various graph properties with the same sampling scheme. In this paper, we propose a generic stream sampling framework for big-graph analytics, called Graph Sample and Hold (gSH). To begin, the proposed framework samples from massive graphs sequentially in a single pass, one edge at a time, while maintaining a small state. We then show how to produce unbiased estimators for various graph properties from the sample. Given that the graph analysis algorithms will run on a sample instead of the whole population, the runtime complexity of these algorithm is kept under control. Moreover, given that the estimators of graph properties are unbiased, the approximation error is kept under control. Finally, we show the performance of the proposed framework (gSH) on various types of graphs, such as social graphs, among others

Casualisation of the nursing workforce in Australia: driving forces and implications.

This article provides an overview of the extent of casualisation of the nursing workforce in Australia, focusing on the impact for those managing the system. The implications for nurse managers in particular are considerable in an industry where service demand is difficult to control and where individual nurses are thought to be increasingly choosing to work casually. While little is known of the reasons behind nurses exercising their preference for casual work arrangements, some reasons postulated include visa status (overseas trained nurses on holiday/working visas); permanent employees taking on additional shifts to increase their income levels; and those who elect to work under casual contracts for lifestyle reasons. Unknown is the demography of the casual nursing workforce, how these groups are distributed within the workforce, and how many contracts of employment they have across the health service--either through privately managed nursing agencies or hospital managed casual pools. A more detailed knowledge of the forces driving the decisions of this group is essential if health care organisations are to equip themselves to manage this changing workforce and maintain a standard of patient care that is acceptable to the community

Harnessing ward-level administrative data and expert knowledge to improve staffing decisions: A multi-method case study

© 2019 John Wiley & Sons Ltd Aim: The aim of this study was to investigate the impact of changes to bed configuration and patient mix on nurses’ workload in a single ward. Design: Multi-method case study. Method: The study was undertaken in an acute 28-bed ward in a tertiary referral public hospital in Queensland, Australia. Ward-level administrative data were obtained for a 2-year period, 12 months before bed configuration changes in October 2015 and 12 months after. These data included patient activity (bed occupancy, transfers, length of stay and casemix) and nurse staffing (budgeted and actual staffing levels, employment status and skillmix). Semi-structured interviews were conducted with ward nurses (N = 17) to explore the impact of the bed configuration changes on their workload. Results: Administrative data showed that the bed configuration changes resulted in more complex and dependent patients, increased patient transfers and greater variability in casemix. The interview data found these changes to patient complexity and activity intensified workloads, which were further increased by staffing decisions that resulted in greater reliance on temporary staff. Conclusion: Hospitals already possess the data and expert knowledge needed to improve staffing and bed management decisions without the need for additional, costly workload systems. Impact: Determining appropriate nurse staffing in light of the complexities and variation of patient needs at the ward level remains a challenge. This study identified increases in patient complexity, dependency, variability and churn that increased workload. Staffing grew but hidden factors associated with temporary staffing and skillmix further intensified nurses’ workload. Harnessing existing data and the expertise and experience of nursing unit managers (NUMs) would help staff wards more efficiently and effectively, providing reasonable workloads and appropriate skillmix that can enhance the safety and quality of patient care. To facilitate this, NUMs need access to accurate, timely, data and authority in staffing and bed management decisions

Task shifting and sharing in maternal and reproductive health in low-income countries: A narrative synthesis of current evidence

Reducing maternal mortality and providing universal access to reproductive health in resource poor settings has been severely constrained by a shortage of health workers required to deliver interventions. The aim of this article is to determine evidence to optimize health worker roles through task shifting/sharing to address Millennium Development Goal 5 and reduce maternal mortality and provide universal access to reproductive health. A narrative synthesis of peer-reviewed literature from 2000 to 2011 was undertaken with retrieved documents assessed using an inclusion/exclusion criterion and quality appraisal guided by critical assessment tools. Concepts were analysed thematically. The analysis identified a focus on clinical tasks (the delivery of obstetric surgery, anaesthesia and abortion) that were shifted to and/or shared with doctors, non-physician clinicians, nurses and midwives. Findings indicate that shifting and sharing these tasks may increase access to and availability of maternal and reproductive health (MRH) services without compromising performance or patient outcomes and may be cost effective. However, a number of issues and barriers were identified with health workers calling for improved in-service training, supervision, career progression and incentive packages to better support their practice. Collaborative approaches involving community members and health workers at all levels have the potential to deliver MRH interventions effectively if accompanied by ongoing investment in the health care system. © 2013 The Author. All rights reserved

Effects of northbound long-haul international air travel on sleep quantity and subjective jet lag and wellness in professional Australian soccer players

© 2015 Human Kinetics, Inc. The current study examined the effects of 10-h northbound air travel across 1 time zone on sleep quantity, together with subjective jet lag and wellness ratings, in 16 male professional Australian football (soccer) players. Player wellness was measured throughout the week before (home training week) and the week of (away travel week) travel from Australia to Japan for a preseason tour. Sleep quantity and subjective jet lag were measured 2 d before (Pre 1 and 2), the day of, and for 5 d after travel (Post 1-5). Sleep duration was significantly reduced during the night before travel (Pre 1; 4.9 [4.2-5.6] h) and night of competition (Post 2; 4.2 [3.7-4.7] h) compared with every other night (P 0.90). Moreover, compared with the day before travel, subjective jet lag was significantly greater for the 5 d after travel (P 0.90), and player wellness was significantly lower 1 d postmatch (Post 3) than at all other time points (P 0.90). Results from the current study suggest that sleep disruption, as a result of an early travel departure time (8 PM) and evening match (7:30 PM), and fatigue induced by competition had a greater effect on wellness ratings than long-haul air travel with a minimal time-zone change. Furthermore, subjective jet lag may have been misinterpreted as fatigue from sleep disruption and competition, especially by the less experienced players. Therefore, northbound air travel across 1 time zone from Australia to Asia appears to have negligible effects on player preparedness for subsequent training and competition

Workload profiles prior to injury in professional soccer players

© 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group. This study examined if a particular profile of internal and external workload existed prior to injury. Forty-five professional soccer players were monitored over two seasons. For each non-contact injury, a profile of workload variables was determined for 4 weeks and expressed as (i) an absolute, (ii) week-to-week change and (iii) relative to the player’s season mean. Variables included exposure, session rating of perceived exertion (s-RPE) workload, total distance, low-, high-, very-high-speed running distance, mean speed, bodyload, monotony and strain. Acute:chronic workload ratio was also calculated and sensitivity of the relative workload was tested. Absolute and relative exposure and s-RPE workload were greater in all 3 weeks compared to the injury week (P  0.05). Acute:chronic workload ratio for s-RPE was significantly greater than acute:chronic workload ratio for very-high-speed running (P = 0.04). A workload threshold of 114% of a player’s season mean reported low sensitivity and specificity for exposure (25.6[20.2–33.5]% and 73.9[22.6–28.2]%,) and s-RPE workload (16.3[12.6–24.9]% and 79.9[20.3–26.1]%, respectively). No specific load profile existed, although high-sustained exposure and s-RPE were evident for the 3 weeks prior to injury. Consequently, load prescription should be aware of sustained high workloads