72 resultados para call centers


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For multiple heterogeneous multicore server processors across clouds and data centers, the aggregated performance of the cloud of clouds can be optimized by load distribution and balancing. Energy efficiency is one of the most important issues for large-scale server systems in current and future data centers. The multicore processor technology provides new levels of performance and energy efficiency. The present paper aims to develop power and performance constrained load distribution methods for cloud computing in current and future large-scale data centers. In particular, we address the problem of optimal power allocation and load distribution for multiple heterogeneous multicore server processors across clouds and data centers. Our strategy is to formulate optimal power allocation and load distribution for multiple servers in a cloud of clouds as optimization problems, i.e., power constrained performance optimization and performance constrained power optimization. Our research problems in large-scale data centers are well-defined multivariable optimization problems, which explore the power-performance tradeoff by fixing one factor and minimizing the other, from the perspective of optimal load distribution. It is clear that such power and performance optimization is important for a cloud computing provider to efficiently utilize all the available resources. We model a multicore server processor as a queuing system with multiple servers. Our optimization problems are solved for two different models of core speed, where one model assumes that a core runs at zero speed when it is idle, and the other model assumes that a core runs at a constant speed. Our results in this paper provide new theoretical insights into power management and performance optimization in data centers.

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OBJECTIVE: In the literature, there is no consistent classification of healthcare facilities. In order to benchmark, assess, and compare the environmental performance of these buildings, it is important to clearly identify the typology within the scope of a particular research. This article identifies the different typologies within the healthcare sector, particularly in Australia, with the aim of the development of energy performance benchmarks for day surgery/procedure centers. BACKGROUND: Healthcare buildings encompass a wide range of facilities. They all share the same purpose of healing and offering a health service for patients. However, they vary significantly in terms of patient type and service provided. These buildings consume a considerable amount of energy, and as a result of the different designs and sizes, their pattern of energy consumption varies. METHODS: The research used a systematic review of the literature to determine how the term "healthcare facility" has been employed in different contexts. In order to better understand the differences in healthcare facilities, definitions and the origin of hospitals and healthcare facilities are introduced and a framework for the classification of healthcare facilities and hospitals is proposed. RESULTS: Healthcare facilities are classified into the following six categories: patient type, care provided, management and ownership, level of care, facility size, and location. Based on these classifications, a categorization for the studies of energy performance in healthcare is introduced. CONCLUSIONS: This study provides a basis for assessment and comparison for a particular healthcare building typology that will assist researchers working in the field of design and energy assessment of healthcare facilities.

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BACKGROUND: It has been suggested in the literature that raised heart rate in the early period after trauma is associated with the development of post-traumatic psychopathology, but little account has been taken of the potential confounding effect of injury severity.

MATERIALS AND METHODS: A cohort of 154 patients, studied as part of a wider investigation of trauma outcomes, was included. Initial heart rate in the accident & emergency department, and injury severity score and new injury severity scores were recorded. Patients completed the General Health Questionnaire (GHQ-28) as a measure of psychopathology at presentation and again at two- and six-month follow-up.

RESULTS: There was no relationship between psychopathology at presentation and initial heart rate or injury severity. Raised heart rate was associated with post-traumatic psychopathology at two months but not at six months. When the potential confounding effect of injury severity was controlled for, there was no independent correlation between heart rate and post-traumatic psychopathology. Injury severity score and new injury severity scores were strongly associated with GHQ-28 caseness.

CONCLUSION: Post-traumatic tachycardia is not associated with development of psychopathology, but injury severity is. Previous studies that have suggested a link between tachycardia and development of psychopathology are flawed because they have not considered the confounding effect of severity of injury.

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Aim: To explore and compare call bell response times in two wards in a geriatric evaluation and management facility before and after the introduction of a suite of interventions aimed at decreasing patient falls. Method: Data on call bell response times were collected over two periods. The first were before implementation of falls prevention initiatives. Data were retrieved from the call bell system that detailed the time taken to respond to every call bell activation. A second period of data collection was conducted six months after implementation of the initiatives. Results: Prioritising call bell response and raising staff awareness improved response to patient calls. There was a slight decrease in falls although call bell activations did not decrease. Conclusion: Strong leadership is necessary from nurse managers to stress the importance of prompt call bell response. Visual surveillance of high-risk fallers is important as they are generally unable to ring for assistance when required.

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 With the rising demands on cloud services, the electricity consumption has been increasing drastically as the main operational expenditure (OPEX) to data center providers. The geographical heterogeneity of electricity prices motivates us to study the task placement problem over geo-distributed data centers. We exploit the dynamic frequency scaling technique and formulate an optimization problem that minimizes OPEX while guaranteeing the quality-of-service, i.e., the expected response time of tasks. Furthermore, an optimal solution is discovered for this formulated problem. The experimental results show that our proposal achieves much higher cost-efficiency than the traditional resizing scheme, i.e., by activating/deactivating certain servers in data centers.

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Invasive mammalian predators are major drivers of species extinctions globally. To protect native prey, lethal control is often used with the aim of reducing or exterminating invasive predator populations. The efficacy of this practice, however, is often not considered despite multiple practical and ecological factors that can limit success. Here, we summarize contemporary knowledge regarding the use and challenges of both lethal control and alternative approaches for reducing invasive predator impacts. As the prevailing management approach, we outline four key issues that can compromise the effectiveness of lethal control: release of herbivore and mesopredator populations, disruption of predator social systems, compensatory predator immigration, and ethical concerns. We then discuss the relative merits and limitations of four alternative approaches that may enhance conservation practitioner's ability to effectively manage invasive predators: top-predator conservation or reintroduction, maintaining habitat complexity, exclusion fencing, and behavioral and evolutionary ecology. Considerable uncertainty remains regarding the effectiveness of management approaches in different environmental contexts. We propose that the deficiencies and uncertainties outlined here can be addressed through a combination of adaptive management, expert elicitation, and cost-benefit analyses. Improved management of invasive predators requires greater consideration and assessment of the full range of management approaches available.

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BackgroundA dimension of the culture in group homes is staff regard for residents. In underperforming group homes, staff regard residents as being not ‘like us’ (Bigby, Knox, Beadle-Brown, Clement & Mansell, 2012). We hypothesized the opposite pole of this dimension, in higher performing group homes, would be that staff regard residents positively.MethodThree in-depth qualitative case studies were conducted in higher performing group homes using participant observation, interviews and document review.ResultsConsistent pattern of staff practices and talk, as well as artefacts, demonstrated staff had a positive regard for residents, who were seen as being ‘like us’. Explicit and continuing attention was given to sustaining positive regard for residents in everyday staff practices and to turning abstract values into concrete realities.ConclusionsThis positive cultural norm was established, operationalized and embedded through structures, such as a formal policy about language, and processes such as peer monitoring and practice leadership.

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QoS plays a key role in evaluating a service or a service composition plan across clouds and data centers. Currently, the energy cost of a service's execution is not covered by the QoS framework, and a service's price is often fixed during its execution. However, energy consumption has a great contribution in determining the price of a cloud service. As a result, it is not reasonable if the price of a cloud service is calculated with a fixed energy consumption value, if part of a service's energy consumption could be saved during its execution. Taking advantage of the dynamic energy-Aware optimal technique, a QoS enhanced method for service computing is proposed, in this paper, through virtual machine (VM) scheduling. Technically, two typical QoS metrics, i.e., the price and the execution time are taken into consideration in our method. Moreover, our method consists of two dynamic optimal phases. The first optimal phase aims at dynamically benefiting a user with discount price by transparently migrating his or her task execution from a VM located at a server with high energy consumption to a low one. The second optimal phase aims at shortening task's execution time, through transparently migrating a task execution from a VM to another one located at a server with higher performance. Experimental evaluation upon large scale service computing across clouds demonstrates the validity of our method.

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Live video forwarding for IP cameras has become a popular service in video data centers. In the forwarding service, requests of end users from different regions arrive in real-time to gain live video streams of IP cameras from inter-connected video data centers. A fundamental scheduling problem is how to assign resources with the global optimal resource cost and forwarding delay to forward live video streams. We introduce the resource provisioning cost as the combination of media server cost, connection bandwidth cost, and forwarding delay cost. In this paper, a multi-objective resource provisioning (MORP) approach is proposed to deal with the online inter-datacenter resource provisioning problem. The approach aims at minimizing the resource provisioning cost during live video forwarding. It adaptively allocates media servers in appropriate video data centers and connects the chosen media servers together to provide system scalability and connectivity. Different from previous works, MORP takes both resource capacity and diversity (e.g. location and price) into consideration during live video forwarding. Finally, the experimental results show that MORP approach not only cuts the resource provisioning cost of 3% to 10% comparing to the bench mark approach, but also shortens the resource provisioning delay.

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Both James Britton and James Moffett were keynote speakers at the Sydney International Federation for the Teaching of English conference in 1980 - a fact reflective of the wide recognition and acceptance of their work and influence throughout Australia by that time. In Victoria, Moffett's writings became known initially through teacher education, in particular at the University of Melbourne and the State College of Victoria, Rusden, then through the visits and writing of figures from the London Institute and others, and through the State and national English teaching association, the Australian Association for the Teaching of English. In the 1970s, Moffett's influence in Victoria came rather through the mix of his vision and writing, both theoretical and practical, in conjunction with others in Australia and elsewhere. This paper takes two separate but related sites or moments in English education in the 1970s in the Australian city of Melbourne, Victoria, as instances of the permeating influence of Moffett's work - in conjunction with leading figures from the London School associated with the 'New' English' - on education discourses and practice in that State's English curriculum history. It concludes with a consideration of the ways in which Moffett's work might still act as a 'rallying call' today.

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On-call work is becoming an increasingly common work pattern, yet the human impacts of this type of work are not well established. Given the likelihood of calls to occur outside regular work hours, it is important to consider the potential impact of working on-call on stress physiology and sleep. The aims of this review were to collate and evaluate evidence on the effects of working on-call from home on stress physiology and sleep. A systematic search of Ebsco Host, Embase, Web of Science, Scopus and ScienceDirect was conducted. Search terms included: on-call, on call, standby, sleep, cortisol, heart rate, adrenaline, noradrenaline, nor-adrenaline, epinephrine, norepinephrine, nor-epinephrine, salivary alpha amylase and alpha amylase. Eight studies met the inclusion criteria, with only one study investigating the effect of working on-call from home on stress physiology. All eight studies investigated the effect of working on-call from home on sleep. Working on-call from home appears to adversely affect sleep quantity, and in most cases, sleep quality. However, studies did not differentiate between night's on-call from home with and without calls. Data examining the effect of working on-call from home on stress physiology were not sufficient to draw meaningful conclusions.