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Cloud services to smart things face latency and intermittent connectivity issues. Fog devices are positioned between cloud and smart devices. Their high speed Internet connection to the cloud, and physical proximity to users, enable real time applications and location based services, and mobility support. Cisco promoted fog computing concept in the areas of smart grid, connected vehicles and wireless sensor and actuator networks. This survey article expands this concept to the decentralized smart building control, recognizes cloudlets as special case of fog computing, and relates it to the software defined networks (SDN) scenarios. Our literature review identifies a handful number of articles. Cooperative data scheduling and adaptive traffic light problems in SDN based vehicular networks, and demand response management in macro station and micro-grid based smart grids are discussed. Security, privacy and trust issues, control information overhead and network control policies do not seem to be studied so far within the fog computing concept.

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BACKGROUND: Identification of risk factors within precursor syndromes, such as depression, anxiety or substance use disorders (SUD), might help to pinpoint high-risk stages where preventive interventions for Bipolar Disorder (BD) could be evaluated.

METHODS: We examined baseline demographic, clinical, quality of life, and temperament measures along with risk clusters among 52 young people seeking help for depression, anxiety or SUDs without psychosis or BD. The risk clusters included Bipolar At-Risk (BAR) and the Bipolarity Index as measures of bipolarity and the Ultra-High Risk assessment for psychosis. The participants were followed up for 12 months to identify conversion to BD. Those who converted and did not convert to BD were compared using Chi-Square and Mann Whitney U tests.

RESULTS: The sample was predominantly female (85%) and a majority had prior treatment (64%). Four participants converted to BD over the 1-year follow up period. Having an alcohol use disorder at baseline (75% vs 8%, χ(2)=14.1, p<0.001) or a family history of SUD (67% vs 12.5%, χ(2)=6.0, p=0.01) were associated with development of BD. The sub-threshold mania subgroup of BAR criteria was also associated with 12-month BD outcomes. The severity of depressive symptoms and cannabis use had high effects sizes of association with BD outcomes, without statistical significance.

CONCLUSIONS AND LIMITATIONS: The small number of conversions limited the power of the study to identify associations with risk factors that have previously been reported to predict BD. However, subthreshold affective symptoms and SUDs might predict the onset of BD among help-seeking young people with high-prevalence disorders.

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Whichever way you look at it, online crowdfunding is ramifying. From its foundations supporting creative industry initiatives, crowdfunding has branched into almost every aspect of public and private enterprise. Niche crowdfunding platforms and models are burgeoning across the globe faster than you can trill “kerching”. Early adopters have been quick to discover that in addition to money, they also get free market information and an opportunity to develop a relationship with their market base. Despite these evident benefits, universities have been cautious entrants in the crowdfunding space and more generally in the emerging ‘collaborative economy’ (Owyang, 2013). There are many cultural and institutional legacies that might explain this reluctance. For example, to date universities have achieved social (and economic) distinction through refining a set of exclusionary practices including, but not limited to, versions of gatekeeping, ranking and credentialing. These practices are reproduced in the expected behaviors of individual academics who garner social currency and status as experts, legislators and interpreters (Osborne, 20014: 435). Digitalization and the emergent knowledge and collaboration economies, have the potential to disrupt the academy’s traditional appeals to distinction and to re-engage universities and academics with their public stakeholders. This chapter will examine some of the challenges and benefits arising from public micro-funding of university-based research initiatives during a period of industrial transition in the university sector.Broadly then this chapter asks; what does scholarship mean in a digital ecosystem where sociality (rather than traditional systems for assessing academic merit) affords research opportunity and success? How might university research be rethought in a networked world where personal and professional identities are blurred? What happens when scholars adopt the same pathways as non-scholars for knowledge discovery, development and dissemination through use of emerging practices such as crowdfunding. These issues will be discussed through detailed exploration of a successful pilot project to crowdfund university research; Research My World. This project, a collaboration between Deakin University and the crowdfunding platform pozible.com, set out to secure new sources of funding for the ‘long-tail’ of academic research. More generally, it aimed to improve the digital capacity of the participating researchers and create new opportunities for public engagement for the researchers themselves as well as the university. We will examine how crowdfunding and social media platforms alter academic effort (the dis-intermediation or re-intermediation of research funding, reduction of the compliance burden, opportunities for market validation and so on), as well as the particular workflows of scholarly researchers themselves (improvements in “digital presence-building”, provision of cheap alternative funding, opportunities to crowdsource non-academic knowledge). In addressing these questions, this chapter will explore the influence that crowdfunding campaigns have for transforming contemporary academic practices across a range of disciplinary instances, providing the basis for a new form of engagement-led research. To support our analysis we will provide an overview of the initiative through quantitative analysis of a dataset generated by the first iteration of Research My World projects.

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BACKGROUND: Physical activity is associated with a host of health benefits, yet many individuals do not perform sufficient physical activity to realise these benefits. One approach to rectifying this situation is through modifying the built environment to make it more conducive to physical activity, such as by building walking tracks or recreational physical activity facilities. Often, however, modifications to the built environment are not connected to efforts aimed at encouraging their use. The purpose of the Monitoring and Observing the Value of Exercise (MOVE) study is to evaluate the effectiveness of two interventions designed to encourage the ongoing use of a new, multi-purpose, community-based physical activity facility. METHODS/DESIGN: A two-year, randomised controlled trial with yearly survey points (baseline, 12 months follow-up, 24 months follow-up) will be conducted among 1,300 physically inactive adult participants aged 18-70 years. Participants will be randomly assigned to one of three groups: control, intervention 1 (attendance incentives), or intervention 2 (attendance incentives and tailored support following a model based on customer relationship management). Primary outcome measures will include facility usage, physical activity participation, mental and physical wellbeing, community connectedness, social capital, friendship, and social support. Secondary outcome measures will include stages of change for facility usage and social cognitive decision-making variables. DISCUSSION: This study will assess whether customer relationship management systems, a tool commonly used in commercial marketing settings, can encourage the ongoing use of a physical activity facility. Findings may also indicate the population segments among which the use of such systems are most effective, as well as their cost-effectiveness. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12615000012572 (registered 9 January 2015).

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BACKGROUND: Mid- to late-stage dementia is often characterized by behavioural and psychological symptoms, including, but not limited to physical and verbal aggression. INTRODUCTION: Although there is a considerable research about the prevalence, aetiology, and management of behavioural and psychological symptoms of dementia, there is limited research about the experience of caring for people with such symptoms in long-term aged care facilities. AIM: The aims of the study were to describe: (i) nurses' experiences of caring for people with behavioural and psychological symptoms of dementia in long-term aged care facilities, and (ii) strategies nurses used to deal with these symptoms. METHODS: A qualitative exploratory and descriptive design, involving focus group interviews with 30 nurses from three long-term aged care units in Australia. The transcripts were analysed using inductive content analysis. RESULTS: The findings revealed five interrelated themes: (i) working under difficult conditions, (ii) behavioural and psychological symptoms of dementia: an everyday encounter, (iii) making sense of behavioural and psychological symptoms of dementia, (iv) attempting to manage behavioural and psychological symptoms of dementia, and (v) feeling undervalued. CONCLUSION: This study highlighted the difficult conditions under which nurses worked and the complexity of caring for individuals who have behavioural and psychological symptoms of dementia. IMPLICATIONS FOR NURSING AND HEALTH POLICY: Organizational efforts to enhance the quality of care for individuals with behavioural and psychological symptoms of dementia in long-term aged care facilities should extend beyond staff education to heed nurses' concerns about organizational barriers to interpersonal care.

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There is renewed interest in robust estimates of food demand elasticities at a disaggregated level not only to analyse the impact of changing food preferences on the agricultural sector, but also to establish the likely impact of pricing incentives on households. Using data drawn from two national Household Expenditure Surveys covering the periods 1998/1999 and 2003/2004, and adopting an Almost Ideal Demand System approach that addresses the zero observations problem, this paper estimates a food demand system for 15 food categories for Australia. The categories cover the standard food items that Australian households demand routinely. Own-price, cross-price and expenditure elasticity estimates of the Marshallian and Hicksian types have been derived for all categories. The parameter estimates obtained in this study represent the first integrated set of food demand elasticities based on a highly disaggregated food demand system for Australia, and all accord with economic intuition.

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This study aimed to evaluate the effectiveness of a telephone health coaching and support service provided to members of an Australian private health insurance fund-Telephonic Complex Care Program (TCCP)-on hospital use and associated costs. A case-control pre-post study design was employed using propensity score matching. Private health insurance members (n=273) who participated in TCCP between April and December 2012 (cases) were matched (1:1) to members who had not previously been enrolled in the program or any other disease management programs offered by the insurer (n=232). Eligible members were community dwelling, aged ≥65 years, and had 2 or more hospital admissions in the 12 months prior to program enrollment. Preprogram variables that estimated the propensity score included: participant demographics, diagnoses, and hospital use in the 12 months prior to program enrollment. TCCP participants received one-to-one telephone support, personalized care plan, and referral to community-based services. Control participants continued to access usual health care services. Primary outcomes were number of hospital admission claims and total benefits paid for all health care utilizations in the 12 months following program enrollment. Secondary outcomes included change in total benefits paid, hospital benefits paid, ancillary benefits paid, and total hospital bed days over the 12 months post enrollment. Compared with matched controls, TCCP did not appear to reduce health care utilization or benefits paid in the 12 months following program enrollment. However, program characteristics and implementation may have impacted its effectiveness. In addition, challenges related to evaluating complex health interventions such as TCCP are discussed.

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Lemming population cycles in the Arctic have an important impact on the Arctic food web, indirectly also affecting breeding success in Arctic-nesting birds through shared predators. Over the last two decades lemming cycles have changed in amplitude and even disappeared in parts of the Arctic. To examine the large scale effect of these recent changes we re-analysed published data from the East Atlantic Flyway (EAF), where a relationship between lemming cycles and wader breeding success was earlier found, and new data on breeding success of waders in the East Asian-Australasian Flyway (EAAF). We found that 1) any long-term periodicities in wader breeding success existed only until the year 2000 in the EAAF and until the 1980s in the EAF; 2) studying these patterns at a smaller spatial scale, where the Siberian-Alaskan breeding grounds were divided into five geographical units largely based on landscape features, breeding success of waders from the EAAF was not correlated to an index of predation pressure, but positively correlated to Arctic summer temperatures in some species. We argue that fading out of lemming cycles in some parts of the Arctic is responsible for faltering periodicity in wader breeding success along both flyways. These changed conditions have not yet resulted in any marked changing trends in breeding success across years, and declining numbers of waders along the EAAF are therefore more likely a result of changing conditions at stop-over and wintering sites.

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Monitoring patients who have noncommunicable diseases is a big challenge. These illnesses require a continuous monitoring that leads to high cost for patients' healthcare. Several solutions proposed reducing the impact of these diseases in terms of economic with respect to quality of services. One of the best solutions is mobile healthcare, where patients do not need to be hospitalized under supervision of caregivers. This paper presents a new hybrid framework based on mobile multimedia cloud that is scalable and efficient and provides cost-effective monitoring solution for noncommunicable disease patient. In order to validate the effectiveness of the framework, we also propose a novel evaluation model based on Analytical Hierarchy Process (AHP), which incorporates some criteria from multiple decision makers in the context of healthcare monitoring applications. Using the proposed evaluation model, we analyzed three possible frameworks (proposed hybrid framework, mobile, and multimedia frameworks) in terms of their applicability in the real healthcare environment.

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BACKGROUND: 25-Hydroxyvitamin D serves a crucial role in bone metabolism through its role on osteoclast and osteoblastic function. To assess the implication of vitamin D and its relationship to bone fracture and fracture force, we have examined vitamin D levels in patients requiring inpatient fracture management. METHODS: We performed serological testing of vitamin D levels, calcium, parathyroid hormone and liver function tests on patients admitted to our rural institution in southeastern Australia for inpatient fracture management. All participants completed a questionnaire designed to screen for potential contributing factors to bony fragility. Demographic data were also obtained including age, gender and body mass index. Fracture location and the type of inpatient management as well as the force of injury were included in our analysis. RESULTS: We recruited 100 patients to the study, with a median age of 72 (range 22-98) of whom 66 were women. Most had low-energy fractures (79%), treated by internal fixation (73%) or arthroplasty (9%) with 18 treated non-operatively. The majority of the patients were at best vitamin D insufficient, <75 nmol/L (77%), and 38% were vitamin D deficient (<50 nmol/L). Only 14 patients had a formal diagnosis of osteoporosis at presentation, with 63 patients claiming daily sun exposure in line with recommendations for vitamin D sufficiency. CONCLUSIONS: Our data suggest that the prevalence of vitamin D insufficiency and deficiency is common in patients presenting with fractures in southeastern Australia and is not confined to elderly patients. All patients with fractures should be assessed for vitamin D levels and treated in accordance with vitamin D deficiency guidelines.

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Aim: The koala is a widely distributed Australian marsupial with regional populations that are in rapid decline, are stable or have increased in size. This study examined whether it is possible to use expert elicitation to estimate abundance and trends of populations of this species. Diverse opinions exist about estimates of abundance and, consequently, the status of populations. Location: Eastern and south-eastern Australia Methods: Using a structured, four-step question format, a panel of 15 experts estimated population sizes of koalas and changes in those sizes for bioregions within four states. They provided their lowest plausible estimate, highest plausible estimate, best estimate and their degree of confidence that the true values were contained within these upper and lower estimates. We derived estimates of the mean population size of koalas and associated uncertainties for each bioregion and state. Results: On the basis of estimates of mean population sizes for each bioregion and state, we estimated that the total number of koalas for Australia is 329,000 (range 144,000-605,000) with an estimated average decline of 24% over the past three generations and the next three generations. Estimated percentage of loss in Queensland, New South Wales, Victoria and South Australia was 53%, 26%, 14% and 3%, respectively. Main conclusions: It was not necessary to achieve high levels of certainty or consensus among experts before making informed estimates. A quantitative, scientific method for deriving estimates of koala populations and trends was possible, in the absence of empirical data on abundances.

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There are sex differences in the activation of the hypothalamo-pituitary-adrenal axis in response to stress, but the source of these differences is unknown. The hypothalamo-pituitary-adrenal axis is regulated by corticotropin-releasing hormone and arginine-vasopressin neurones located in the paraventricular nucleus and these, in turn, are regulated by neural systems that include afferent noradrenergic and neuropeptide Y (NPY)-producing neural pathways. We tested the hypothesis that concentrations of noradrenaline and NPY will be elevated in cerebrospinal fluid (CSF) sampled from the third cerebral ventricle in response to stress, and these responses will differ in males and females. We collected concurrent samples of CSF (1 ml) from the third ventricle and blood (5 ml) from the jugular vein from gonadectomised rams (n = 7) and ewes (n = 5) at 10-min intervals for 3 h. This procedure was conducted on a day when no stress was imposed and on a day when audiovisual stress was imposed for 5 min after 1 h of sampling. Following the audiovisual stress, plasma concentrations of cortisol and CSF concentrations of noradrenaline were elevated (p < 0.05), but CSF concentrations of NPY did not change. Adrenaline was not detected in samples of CSF. The rise in plasma cortisol following the stress was greater (p < 0.05) in ewes than in rams, but there were no sex differences in the rise in noradrenaline. Basal concentrations of NPY in the CSF were higher (p < 0.05) in rams than in ewes. We conclude that the sex differences in the stress-induced activity of the hypothalamo-pituitary-adrenal axis in sheep are not likely to be due to differences in the level of noradrenergic and/or NPY input to the hypothalamus.

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BACKGROUND: Muscle mass and function are perturbed by immobilization and remobilization. When muscle mass changes, the quality and quantity of the extracellular matrix protein, particularly the collagens, change with it. In this study, we investigated the temporal profile of three peptide biomarkers derived from turnover of collagen type III and type VI in a long-term immobilization and remobilization study. We also compared individual biomarker levels with Lean body Mass (LBM) and changes therein, hypothesizing that these biomarkers would be biomarkers of the remodeling processes associated with immobilization and/or remobilization. METHODS: In the Berlin bed rest study, 20 young men were recruited and randomly assigned to 8-week's strict bed rest with or without resistive vibration exercise countermeasure. We measured three neo-epitope ELISA kits in the serum samples of this study: Pro-C3, measured the synthesis of collagen type III; Pro-C6, measured the synthesis of collagen type VI; and C6M measured the degradation of collagen type VI induced by MMP-2 and MMP-9 cleavage. RESULTS: Pro-C3 and Pro-C6 biomarkers are up-regulated with both immobilization and remobilization, whereas C6M is hardly affected at all. We found that Pro-C3 and C6M levels are related to LBM at baseline and that high levels of Pro-C6 are associated with smaller changes in muscle mass during both immobilization and remobilization. CONCLUSION: The Pro-C3 and-C6 biomarkers change likely reflect remodeling changes in response to unloading or reloading, whereas C6M does not appear to respond to unloading. Pro-C3 and C6M levels correlate with LBM at baseline, while Pro-C6 is related to the anabolic and catabolic responses to unloading and reloading.

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Timber harvesting is a common global disturbance that has important effects on the ability of forests to provide ecosystems services and retain biodiversity. Using predictive frameworks to examine biodiversity responses to logging could assist in retaining natural forest values. The intermediate disturbance hypothesis (IDH) and the habitat accommodation model (HAM) potentially offer frameworks for explaining different coarse scale community responses to logging. We used a 60. year post-logging chronosequence to investigate small reptile community responses to age post-logging in temperate forests using three metrics (species richness, evenness and relative abundance). First, we evaluated if variation in these metrics adhered to prior predictions, including the IDH. Second, we evaluated how age post-logging influence community responses through fine scale vegetation elements. Third, we evaluated support for the HAM by measuring compositional change (species turnover) of small reptile community to age post-logging. Reptile relative abundance exhibited a curvilinear relationship to age since logging, contradicting our prior prediction of sustained increase. Species richness and evenness were unrelated to age since logging thus providing no support to IDH and other prior predictions. Relative abundance and richness did not relate to any vegetation characteristic tested. These metrics were also unrelated to logging method. Community composition was marginally significantly influenced by age since logging, thus supporting the HAM. Our results suggest that forest reptiles exposed to logging exhibit variable changes depending on the community metric in question, and that different approaches, including those based on species traits, are needed to improve evaluating disturbance related biodiversity responses.

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In data science, anomaly detection is the process of identifying the items, events or observations which do not conform to expected patterns in a dataset. As widely acknowledged in the computer vision community and security management, discovering suspicious events is the key issue for abnormal detection in video surveil-lance. The important steps in identifying such events include stream data segmentation and hidden patterns discovery. However, the crucial challenge in stream data segmenta-tion and hidden patterns discovery are the number of coherent segments in surveillance stream and the number of traffic patterns are unknown and hard to specify. Therefore, in this paper we revisit the abnormality detection problem through the lens of Bayesian nonparametric (BNP) and develop a novel usage of BNP methods for this problem. In particular, we employ the Infinite Hidden Markov Model and Bayesian Nonparamet-ric Factor Analysis for stream data segmentation and pattern discovery. In addition, we introduce an interactive system allowing users to inspect and browse suspicious events.