110 research outputs found
A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions
A neural network combined to a neural classifier is used in a real time
forecasting of hourly maximum ozone in the centre of France, in an urban
atmosphere. This neural model is based on the MultiLayer Perceptron (MLP)
structure. The inputs of the statistical network are model output statistics of
the weather predictions from the French National Weather Service. With this
neural classifier, the Success Index of forecasting is 78% whereas it is from
65% to 72% with the classical MLPs. During the validation phase, in the Summer
of 2003, six ozone peaks above the threshold were detected. They actually were
seven
A multiplexed targeted assay for high-throughput quantitative analysis of serum methylamines by ultra performance liquid chromatography coupled to high resolution mass spectrometry
Job Scheduling Using successive Linear Programming Approximations of a Sparse Model
EuroPar 2012In this paper we tackle the well-known problem of scheduling a collection of parallel jobs on a set of processors either in a cluster or in a multiprocessor computer. For the makespan objective, i.e., the completion time of the last job, this problem has been shown to be NP-Hard and several heuristics have already been proposed to minimize the execution time. We introduce a novel approach based on successive linear programming (LP) approximations of a sparse model. The idea is to relax an integer linear program and use lp norm-based operators to force the solver to find almost-integer solutions that can be assimilated to an integer solution. We consider the case where jobs are either rigid or moldable. A rigid parallel job is performed with a predefined number of processors while a moldable job can define the number of processors that it is using just before it starts its execution. We compare the scheduling approach with the classic Largest Task First list based algorithm and we show that our approach provides good results for small instances of the problem. The contributions of this paper are both the integration of mathematical methods in the scheduling world and the design of a promising approach which gives good results for scheduling problems with less than a hundred processors
Employment selections of resident and non-resident graduates of physical therapy programs in underserved Western states
Background and Purpose:Physical therapy (PT) is an essential component of the healthcare system in providing a comprehensive treatment plan for patients with functional limitations. The demand for physical therapy services is projected to expand in the next eight years, leading to an increased need for practicing physical therapists. The Mountain States plus Washington State (MSPWS) demonstrate the greatest shortage of therapists and are considered to be medically underserved. The purpose of this study was to determine the retention rates of resident and non-resident physical therapy graduates of public universities in the MSPWS and to determine which factors influenced their employment decisions.
Subjects: Two hundred and forty two graduates of physical therapy education programs (PTEP) from six public universities located in the MSPWS participated in the study. The participants’ ages ranged from 25 to 55 years old and included 159 females, 82 males, and 1 individual who did not indicate a gender.
Methods: A 10-question internet survey was developed and distributed to graduates of PTEPs. The department chairs of each PTEP as well as individuals who had associated with graduates of these PTEPs helped to distribute the survey to participants.
Results: Resident graduates were 5.2 times more likely than non-resident graduates to accept employment in the state from which they received their PT degree after graduation. Family and spouse played an important role in employment choice and was the most frequent option selected. Female residents were 2.4 times more likely than male residents to obtain employment in the state in which they received their PT education.
Discussion and Conclusion: The results of this study suggest that resident graduates within the MSPWS are more likely than non-resident graduates to accept employment in the state from which they graduated
David Hume on Banking and Hoarding
David Hume opposes banks and favors hoarding. The only bank he reluctantly approves of is a public, 100% reserve bank. Other banks increase money supply and prices, hindering exports and economic growth. For Hume, a 100% reserve public bank would lead to ‘‘the destruction of paper-credit’’ ([1752] 1985, p. 285), fostering economic growth instead by preventing inflation. Additionally, a 100% reserve bank hoards a large quantity of gold and silver, which is available in case of national emergency
Is the Carli index flawed?: assessing the case for the new retail price index RPIJ
The paper discusses the recent decision of the UK's Office for National Statistics to replace the controversial Carli index with the Jevons index in a new version of the retail price index—RPIJ. In doing so we make three contributions to the way that price indices should be selected for measures of consumer price inflation when quantity information is not available (i.e. at the ‘elementary’ level). Firstly, we introduce a new price bouncing test under the test approach for choosing index numbers. Secondly, we provide empirical evidence on the performance of the Carli and Jevons indices in different contexts under the statistical approach. Thirdly, applying something analogous to the principle of insufficient reason, we argue contrary to received wisdom in the literature, that the economic approach can be used to choose indices at the elementary level, and moreover that it favours the use of the Jevons index. Overall, we conclude that there is a case against the Carli index and that the Jevons index is to be preferred
Metaverse marketing: how the metaverse will shape the future of consumer research and practice
The initial hype and fanfare from the Meta Platforms view of how the metaverse could be brought to life has evolved into an ongoing discussion of not only the metaverse's impact on users and organizations but also the societal and cultural implications of widespread usage. The potential of consumer interaction with brands within the metaverse has engendered significant debate within the marketing-focused discourse on the key challenges and transformative opportunities for marketers. Drawing on insights from expert contributors, this study examines the marketing implications of the hypothetical widespread adoption of the metaverse. We identify new research directions and propose a new framework offering valuable contributions for academia, practice, and policy makers. Our future research agenda culminates in a checklist for researchers which clarifies how the metaverse can be beneficial to digital marketing and advertising, branding, services, value creation, and consumer wellbeing
Shaping the metaverse into reality: multidisciplinary perspectives on opportunities, challenges, and future research
The term metaverse is described as the next iteration of the Internet. Metaverse is a virtual platform that uses extended reality technologies, i.e., augmented reality, virtual reality, mixed reality, 3D graphics, and other emerging technologies to allow real-time interactions and experiences in ways that are not possible in the physical world. Companies have begun to notice the impact of the metaverse and how it may help maximize profits. The purpose of this paper is to offer perspectives on several important areas, i.e., marketing, tourism, manufacturing, operations management, education, the retailing industry, banking services, healthcare, and human resource management that are likely to be impacted by the adoption and use of a metaverse. Each includes an overview, opportunities, challenges, and a potential research agenda
Metaverse marketing: how the metaverse will shape the future of consumer research and practice
The initial hype and fanfare from the Meta Platforms view of how the metaverse could be brought to life has evolved into an ongoing discussion of not only the metaverse's impact on users and organizations but also the societal and cultural implications of widespread usage. The potential of consumer interaction with brands within the metaverse has engendered significant debate within the marketing-focused discourse on the key challenges and transformative opportunities for marketers. Drawing on insights from expert contributors, this study examines the marketing implications of the hypothetical widespread adoption of the metaverse. We identify new research directions and propose a new framework offering valuable contributions for academia, practice, and policy makers. Our future research agenda culminates in a checklist for researchers which clarifies how the metaverse can be beneficial to digital marketing and advertising, branding, services, value creation, and consumer wellbeing
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