516 research outputs found

    Grid Metadata Lifetime Control in ActOn

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    In the Semantic Grid, metadata, as ïŹrst class citizens, should be maintained up to-date in a cost-effective manner. This includes maxi missing the automation of different aspects of the metadata lifecycle, managing the evolution and change of metadata in distributed contexts, and synchronizing adequately the evolution of all these related entities. In this paper, we introduce a semantic model and its operations which is designed for supporting dynamic metadata management in Active Ontology (Act On), a semantic information integration approach for highly dynamic information sources. Finally, we illustrate the Act On-based metadata lifetime control by EGEE examples

    A BDI agent architecture for the GAMA modeling and simulation platform

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    International audienceWith the increase of computing power and the development of user-friendly multi-agent simulation frameworks, social simulations have become increasingly realistic. However, most agent architectures in these simulations use simple reactive models. Indeed, cognitive agent architectures face two main obstacles: their complexity for the field-expert modeler, and their computational cost. In this paper, we propose a new cognitive agent architecture based on the BDI (Belief-Desire-Intention) paradigm integrated into the GAMA modeling platform and its GAML modeling language. This architecture was designed to be simple-to-use for modelers, flexible enough to manage complex behaviors, and with low computational cost. An experiment carried out with different profiles of end-users shows that the architecture is actually usable even by modelers who have little knowledge in programming and in Artificial Intelligence

    Fair Resource Sharing for Dynamic Scheduling of Workflows on Heterogeneous Systems

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    International audienceScheduling independent workflows on shared resources in a way that satisfy users Quality of Service is a significant challenge. In this study, we describe methodologies for off-line scheduling, where a schedule is generated for a set of knownworkflows, and on-line scheduling, where users can submit workflows at any moment in time. We consider the on-line scheduling problem in more detail and present performance comparisons of state-of-the-art algorithms for a realistic model of a heterogeneous system

    SAT0092 CARDIOVASCULAR RISK ASSESSMENT IN PATIENTS WITH AUTOIMMUNE RHEUMATIC DISEASES: AN ITALIAN RHEUMATOLOGISTS' SURVEY

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    Background:Cardiovascular (CV) disease is the leading cause of morbidity and mortality in patients with inflammatory arthritis. The growing attention to the CV risk characterizing patients with autoimmune inflammatory disease led EULAR to provide recommendations on CV risk management (1). To date, there are no data on the adherence to EULAR recommendation among Italian rheumatologists.Objectives:Our objective was to measure the level of awareness and the attitude to manage CV risk.Methods:Italian rheumatologists were invited to anonymously answer a web-based questionnaire designed by the steering committee of the Cardiovascualr and Obesity in Rheumatic Diseases (CORDIS) study group of the Italian Society of Rheumatology. The first part of the questionnaire concerned demographic information; the subsequent questions concerned the attitude to assess CV risk and the limitations for not assessing, the specific CV risks considered in the clinical practice and their management. Data are presented using standard summary statistics and were expressed as mean+/-standard deviation or median (interquartile range) according to variables' distribution.Results:One thousand-three hundred rheumatologists (of whom 500 are under 40 and 100 over 70 years of age) have been invited by email to complete the survey. The questionnaire has been filled by 102 rheumatologists (7.85%) (53 females and 49 males) with a median age of 38 years (32-48) and a median of 4 (0-15) years of specialization. Most of the physician who answered the questionnaire works in University Hospitals (67/102; 65.7%), 22 out of 102 (21.6%) in non-academic Hospitals, and the remaining 12,7% in territorial outpatient clinics.When asked if they usually evaluate CV risk in patients with autoimmune rheumatic diseases, 67/102 (67.2%) answered positively, 18 no (17.6%) and 7 did not answer the question; 82% of those who routinely assess the CV do it by themselves. The barriers limiting the assessment of CV risk included: i) lack of time (79%); ii) complex management (12%); inadequate training (9%).As for the CV risk factors, lipid profile, hypertension and diabetes are assessed by most of the rheumatologists (90%, 89% and 88%, respectively), family history by 78% and body mass index by 75.3% and waist circumference only by 25% of those who completed the survey.Finally, only 18.6% stated that they manage by themselves CV risk in patients with autoimmune rheumatic diseases while 50% refer patients to other specialists and 23.4% to general practitioner.Conclusion:Despite the growing awareness on the CV risk characterizing patients with autoimmune rheumatic disease, about one third of young Italian rheumatologists does not strictly adhere to the EULAR recommendations on CV management, mostly due to insufficient time during the routine care visits.References:[1] Agca R et al. Ann Rheum Dis 2017; 76: 17-28.Disclosure of Interests:Francesca Romana Spinelli Grant/research support from: Pfizer, Speakers bureau: Lilly, BMS, Celgene, Fabio Cacciapaglia Speakers bureau: BMS; Roche; Pfizer; Abbvie, Fabiola Atzeni: None declared, Gianluca Erre: None declared, Andreina Manfredi: None declared, Elena Bartoloni Bocci: None declared, Matteo Piga: None declared, Garifallia Sakellariou Speakers bureau: Abbvie, Novartis, MSD, Ombretta Viapiana: None declared, Elisa Gremese Speakers bureau: Abbvie, BMS, Celgene, Jannsen, Lilly, MSD, Novartis, Pfizer, Sandoz, UC

    Bleu Arabia: Palaeolithic and underwater survey in SW Saudi Arabia and the role of coasts in Pleistocene dispersals

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    The role of coastal regions and coastlines in the dispersal of human populations from Africa and across the globe has been highlighted by the recent polarisation between coastal and interior models. The debate has been clouded by the use of the single term ‘coastal dispersal’ to embrace what is in fact a wide spectrum of possibilities, ranging from seafaring populations who spend most of their time at sea living off marine resources, to land-based populations in coastal regions with little or no reliance on marine foods. An additional complicating factor is the fact of Pleistocene and early Holocene sea-level change, which exposed an extensive coastal region that is now submerged, and may have afforded very different conditions from the modern coastal environment. We examine these factors in the Arabian context and use the term ‘Blue’ to draw attention to the fertile coastal rim of the Arabian Peninsula, and to the now submerged offshore landscape, which is especially extensive in some regions. We further emphasise that the attractions of the coastal rim are a product of two quite different factors, ecological diversity and abundant water on land, which have created persistently ‘Green’ conditions throughout the vagaries of Pleistocene climate change in some coastal regions, especially along parts of the western Arabian escarpment, and potentially productive marine environments around its coastline, which include some of the most fertile in the world. We examine the interplay of these factors in the Southwest region of Saudi Arabia and the southern Red Sea, and summarise some of the results of recent DISPERSE field investigations, including survey for Palaeolithic sites on the mainland, and underwater survey of the continental shelf in the vicinity of the Farasan Islands. We conclude that coastlines are neither uniformly attractive nor uniformly marginal to human dispersal, that they offer diverse opportunities that were spatially and temporally variable at scales from the local to the continental, and that investigating Blue Arabia in relation to its episodically Green interior is a key factor in the fuller understanding of long-term human population dynamics within Arabia and their global implications
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