209 research outputs found

    A deep UVBRI CCD photometric study of open clusters Tr 1 and Be 11

    Full text link
    We present deep UBVRIUBVRI CCD photometry for the young open star clusters Tr 1 and Be 11. The CCD data for Be 11 is obtained for the first time. The sample consists of \sim 1500 stars reaching down to VV \sim 21 mag. Analysis of the radial distribution of stellar surface density indicates that radius values for Tr 1 and Be 11 are 2.3 and 1.5 pc respectively. The interstellar extinction across the face of the imaged clusters region seems to be non-uniform with a mean value of E(BV)E(B-V) = 0.60±\pm0.05 and 0.95±\pm0.05 mag for Tr 1 and Be 11 respectively. A random positional variation of E(BV)E(B-V) is present in both the clusters. In the cluster Be 11, the reason of random positional variation may be apparent association of the HII region (S 213). The 2MASS JHKJHK data in combination with the optical data in the cluster Be 11 yields E(JK)E(J-K) = 0.40±\pm0.20 mag and E(VK)E(V-K) = 2.20±\pm0.20 mag. Colour excess diagrams indicate a normal interstellar extinction law in the direction of cluster Be 11. The distances of Tr 1 and Be 11 are estimated as 2.6±\pm0.10 and 2.2±\pm0.10 Kpc respectively, while the theoretical stellar evolutionary isochrones fitted to the bright cluster members indicate that the cluster Tr 1 and Be 11 are 40±\pm10 and 110±\pm10 Myr old. The mass functions corrected for both field star contamination and data incompleteness are derived for both the clusters. The slopes 1.50±0.401.50\pm0.40 and 1.22±0.241.22\pm0.24 for Tr 1 and Be 11 respectively are in agreement with the Salpeter's value. Observed mass segregations in both clusters may be due to the result of dynamical evolutions or imprint of star formation processes or both.Comment: 15 pages, 13 figures. Accepted for publication in MNRA

    The Multiple Origin of Blue Straggler Stars: Theory vs. Observations

    Full text link
    In this chapter we review the various suggested channels for the formation and evolution of blue straggler stars (BSSs) in different environments and their observational predictions. These include mass transfer during binary stellar evolution - case A/B/C and D (wind Roche-lobe overflow) mass transfer, stellar collisions during single and binary encounters in dense stellar cluster, and coupled dynamical and stellar evolution of triple systems. We also explore the importance of the BSS and binary dynamics in stellar clusters. We review the various observed properties of BSSs in different environments (halo and bulge BSSs, BSSs in globular clusters and BSSs in old open clusters), and compare the current observations with the theoretical predictions for BSS formation. We try to constrain the likely progenitors and processes that play a role in the formation of BSSs and their evolution. We find that multiple channels of BSS formation are likely to take part in producing the observed BSSs, and we point out the strengths and weaknesses of each the formation channel in respect to the observational constraints. Finally we point out directions to further explore the origin of BSS, and highlight eclipsing binary BSSs as important observational tool.Comment: Chapter 11, in Ecology of Blue Straggler Stars, H.M.J. Boffin, G. Carraro & G. Beccari (Eds), Astrophysics and Space Science Library, Springe

    Stellar populations in NGC 5128 with the VLT: evidence for recent star formation

    Get PDF
    We resolve stars of the nearest giant elliptical galaxy NGC 5128 using VLT with FORS1 and ISAAC. We construct deep U, V and Ks color-magnitude and color-color diagrams in two different halo fields (in the halo and in the north-eastern diffuse shell). In the outer, shell field, at ~14 kpc from the center of the galaxy, there is a significant recent star formation with stars as young as 10 Myr, approximately aligned with the prominent radio and x-ray jet from the nucleus of the host AGN. Ionized gas filaments are evident in ultraviolet images near the area where neutral HI and CO molecular gas was previously observed. The underlying stellar population of the halo of the giant elliptical is predominantly old with a very broad metallicity distribution. The presence of an extended giant branch reaching M_bol=-5 mag suggests the existence of a significant intermediate-age AGB population in the halo of this galaxy.Comment: 18 pages, 18 figures; to be published in A&A; high res. version at http://www.eso.org/~mrejkuba/cenA_starsVLT.p

    Genome-wide meta-analysis of common variant differences between men and women

    Get PDF
    The male-to-female sex ratio at birth is constant across world populations with an average of 1.06 (106 male to 100 female live births) for populations of European descent. The sex ratio is considered to be affected by numerous biological and environmental factors and to have a heritable component. The aim of this study was to investigate the presence of common allele modest effects at autosomal and chromosome X variants that could explain the observed sex ratio at birth. We conducted a large-scale genome-wide association scan (GWAS) meta-analysis across 51 studies, comprising overall 114 863 individuals (61 094 women and 53 769 men) of European ancestry and 2 623 828 common (minor allele frequency >0.05) single-nucleotide polymorphisms (SNPs). Allele frequencies were compared between men and women for directly-typed and imputed variants within each study. Forward-time simulations for unlinked, neutral, autosomal, common loci were performed under the demographic model for European populations with a fixed sex ratio and a random mating scheme to assess the probability of detecting significant allele frequency differences. We do not detect any genome-wide significant (P < 5 × 10−8) common SNP differences between men and women in this well-powered meta-analysis. The simulated data provided results entirely consistent with these findings. This large-scale investigation across ∼115 000 individuals shows no detectable contribution from common genetic variants to the observed skew in the sex ratio. The absence of sex-specific differences is useful in guiding genetic association study design, for example when using mixed controls for sex-biased trait

    Utility-Based Mechanism for Structural Self-Organization in Service-Oriented MAS

    Full text link
    Structural relations established among agents influence the performance of decentralized service discovery process in multiagent systems. Moreover, distributed systems should be able to adapt their structural relations to changes in environmental conditions. In this article, we present a service-oriented multiagent systems, where agents initially self-organize their structural relations based on the similarity of their services. During the service discovery process, agents integrate a mechanism that facilitates the self-organization of their structural relations to adapt the structure of the system to the service demand. This mechanism facilitates the task of decentralized service discovery and improves its performance. Each agent has local knowledge about its direct neighbors and the queries received during discovery processes. With this information, an agent is able to analyze its structural relations and decide when it is more appropriate to modify its direct neighbors and select the most suitable acquaintances to replace them. The experimental evaluation shows how this self-organization mechanism improves the overall performance of the service discovery process in the system when the service demand changesThis work is partially supported by the Spanish Ministry of Science and Innovation through grants CSD2007-0022 (CONSOLIDER-INGENIO 2010), TIN2012-36586-C03-01, TIN2012-36586-C03-01, TIN2012-36586-C03-02, PROMETEOII/2013/019, and FPU grant AP-2008-00601 awarded to E. Del Val.Del Val Noguera, E.; Rebollo Pedruelo, M.; Vasirani, M.; Fernández, A. (2014). Utility-Based Mechanism for Structural Self-Organization in Service-Oriented MAS. ACM Transactions on Autonomous and Adaptive Systems. 9(3):1-24. https://doi.org/10.1145/2651423S12493Sherief Abdallah and Victor Lesser. 2007. Multiagent reinforcement learning and self-organization in a network of agents. In Proceedings of the 6th International Conference on Autonomous Agents and Multiagent Systems. 172--179.Lada A. Adamic and Bernardo A. Huberman. 2002. Zipf&#8217;s law and the Internet. Glottometrics 3, 143--150.Muntasir Al-Asfoor, Brendan Neville, and Maria Fasli. 2012. Heuristic resource search in a self-organised distributed multi agent system. In Proceedings of the 6th International Workshop on Self-Organizing Systems. 84--89.Mathieu Aquin, Salman Elahi, and Enrico Motta. 2010. Personal monitoring of Web information exchange: Towards Web lifelogging. In Proceedings of the Web Science Conference.Ulrich Basters and Matthias Klusch. 2006. RS2D: Fast adaptive search for semantic Web services in unstructured p2p networks. In Proceedings of the International Semantic Web Conference. 87--100.Umesh Bellur and Roshan Kulkarni. 2007. Improved matchmaking algorithm for semantic Web services based on bipartite graph matching. In Proceedings of the International Semantic Web Conference. 86--93.Devis Bianchini, Valeria De Antonellis, and Michele Melchiori. 2009. Service-based semantic search in p2p systems. In Proceedings of the European Conference on Web Services. 7--16.Bartosz Biskupski, Jim Dowling, and Jan Sacha. 2007. Properties and mechanisms of self-organizing MANET and P2P systems. ACM Transactions on Autonomous and Adaptive Systems 2, 1, 1--34.Alberto Blanc, Yi-Kai Liu, and Amin Vahdat. 2005. Designing incentives for peer-to-peer routing. In Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies. 374--385.Michael Bowling and Manuela Veloso. 2002. Multiagent learning using a variable learning rate. Artificial Intelligence 136, 215--250.Frances M. T. Brazier, Jeffrey O. Kephart, H. Van Dyke Parunak, and Michael N. Huhns. 2009. Agents and service-oriented computing for autonomic computing: A research agenda. IEEE Internet Computing 13, 3, 82--87.Tyson Condie, Sepandar D. Kamvar, and Hector Garcia-Molina. 2004. Adaptive peer-to-peer topologies. In Proceedings of the 4th International Conference on Peer-to-Peer Computing. 53--62.Arturo Crespo and Hector Garcia-Molina. 2002. Routing indices for peer-to-peer systems. In Proceedings of the 22nd International Conference on Distributed Computing Systems. 23--32.Elena Del Val, Natalia Criado, Carlos Carrascosa, Vicente Julian, Miguel Rebollo, Estefania Argente, and Vicente Botti. 2010. THOMAS: A service-oriented framework for virtual organizations. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS&#8217;10). 1631--1632.Elena Del Val, Miguel Rebollo, and Vicente Botti. 2011. Introducing homophily to improve semantic service search in a self-adaptive system. In Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems. 1241--1242.Elena Del Val, Miguel Rebollo, and Vicente Botti. 2012a. Enhancing decentralized service discovery in open service-oriented multi-agent systems. Autonomous Agents and Multi-Agent Systems 28, 1, 1--30.Elena Del Val, Miguel Rebollo, and Vicente Botti. 2012b. Promoting cooperation in service-oriented MAS through social plasticity and incentives. Journal of Systems and Software 86, 2, 520--537.Gianni Di Caro, Frederick Ducatelle, and Luca Maria Gambardella. 2005. AntHocNet: An adaptive nature-inspired algorithm for routing in mobile ad hoc networks. European Transactions on Telecommunications 16, 443--455.Ding Ding, Lei Liu, and Hartmut Schmeck. 2010. Service discovery in self-organizing service-oriented environments. In Proceedings of the 2010 IEEE Asia-Pacific Services Computing Conference. 717--724.Sergey N. Dorogovtsev and Jose F. F. Mendes. 2003. Evolution of Networks: From Biological Nets to the Internet and WWW. Oxford University Press.Giovanna Di Marzo Serugendo, Marie-Pierre Gleizes, and Anthony Karageorgos. 2011. Self-Organizing Software: From Natural to Artificial Adaptation. Natural Computing Series.Erik Einhorn and Andreas Mitschele-Thiel. 2008. RLTE: Reinforcement learning for traffic-engineering. In Proceedings of the 2nd International Conference on Autonomous Infrastructure, Management, and Security. 120--133.Nelson Fernandez, Carlos Maldonado, and Carlos Gershenson. 2014. Information measures of complexity, emergence, self-organization, homeostasis, and autopoiesis. In Guided Self-Organization: Inception. Emergence, Complexity and Computation, Vol. 9. Springer, 19--51. DOI: http://dx.doi.org/10.1007/978-3-642-53734-9_2Jose Luis Fernandez-Marquez, Josep Lluis Arcos, and Giovanna Di Marzo Serugendo. 2012. A decentralized approach for detecting dynamically changing diffuse event sources in noisy WSN environments. Applied Artificial Intelligence 26, 4, 376--397. DOI: http://dx.doi.org/10.1080/08839514.2012.653659Agostino Forestiero, Carlo Mastroianni, and Michela Meo. 2009. Self-Chord: A bio-inspired algorithm for structured P2P systems. In Proceedings of the 9th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing. 44--51.Matthew E. Gaston and Marie des Jardins. 2005. Agent-organized networks for multi-agent production and exchange. In Proceedings of the 20th AAAI Conference on Artificial Intelligence. 77--82.Nathan Griffiths and Michael Luck. 2010. Changing neighbours: Improving tag-based cooperation. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems. 249--256.Peter Haase, Ronny Siebes, and Frank van Harmelen. 2008. Expertise-based peer selection in peer-to-peer networks. Knowledge and Information Systems 15, 1, 75--107.Philip N. Howard, Lee Rainee, and Steve Jones. 2001. Days and nights on the Internet. American Behavioural Scientist, 383--404.Bernardo A. Huberman and Lada A. Adamic. 2000. The nature of markets in the WWW. Quarterly Journal of Electronic Commerce 1, 5--12.Michael N. Huhns et al. 2005. Research directions for service-oriented multiagent systems. IEEE Internet Computing 9, 6, 65--70.Tomoko Itao, Tatsuya Suda, Tetsuya Nakamura, Miyuki Imada, Masato Matsuo, and Tomonori Aoyama. 2001. Jack-in-the-Net: Adaptive networking architecture for service emergence. In Proceedings of the Asian-Pacific Conference on Communications. 9.Emily M. Jin, Michelle Girvan, and Mark E. J. Newman. 2001. Structure of growing social networks. Physical Review E 64, 4, 046132.Sachin Kamboj and Keith S. Decker. 2007. Organizational self-design in semi-dynamic environments. In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems. 335--337.Rahamatullah Khondoker, S. M. Taslim Arif, Nathan Kerr, and Dennis Schwerdel. 2011. Self-organizing communication services in future network architectures. In Proceedings of the 5th International Workshop on Self-Organizing Systems.Matthias Klusch, Benedikt Fries, and Katia Sycara. 2009. OWLS-MX: A hybrid Semantic Web service matchmaker for OWL-S services. Web Semantics Science Services and Agents on the World Wide Web 7, 2, 121--133.Dionisis Kontominas, Paraskevi Raftopoulou, Christos Tryfonopoulos, and Euripides G. M. Petrakis. 2013. DS4: A distributed social and semantic search system. Advances in Information Retrieval 7814, 832--836.Ramachandra Kota, Nicholas Gibbins, and Nicholas R. Jennings. 2012. Decentralized approaches for self-adaptation in agent organizations. ACM Transactions on Autonomous and Adaptive Systems 7, 1, Article No. 1.Paul Lazarsfeld. 1954. Friendship as a social process: A substantive and methodological analysis. In Freedom and Control in Modern Society. Van Nostrand, New York, NY.Paulo Leito. 2013. Towards self-organized service-oriented multi-agent systems. In Service Orientation in Holonic and Multi Agent Manufacturing and Robotics. Studies in Computational Intelligence, Vol. 472. Springer, 41--56.W. Sabrina Lin, Hong Vikcy Zhao, and K. J. Ray Liu. 2009. Incentive cooperation strategies for peer-to-peer live multimedia streaming social networks. IEEE Transactions on Multimedia 11, 3, 396--412.Sheila A. McIlraith, Tran Cao Son, and Honglei Zeng. 2001. Semantic Web services. IEEE Intelligent Systems 16, 2, 46--53.Miller McPherson, Lynn Smith-Lovin, and James Cook. 2001. Birds of a feather: Homophily in social networks. Annual Review of Sociology 27, 415--444.Vivek Nallur and Rami Bahsoon. 2012. A decentralized self-adaptation mechanism for service-based applications in the cloud. IEEE Transactions on Software Engineering 99, 591--612.Aris Ouksel, Yair Babad, and Thomas Tesch. 2004. Matchmaking software agents in B2B markets. In Proceedings of the 37th Annual Hawaii International Conference on System Sciences. 1--9.Massimo Paolucci, Takahiro Kawamura, Terry R. Payne, and Katia P. Sycara. 2002. Semantic matching of Web services capabilities. In Proceedings of the 1st International Semantic Web Conference. 333--347.Leonid Peshkin and Virginia Savova. 2002. Reinforcement learning for adaptive routing. In Proceedings of the 2002 International Conference on Neural Networks (IJCNN&#8217;02). 1825--1830.Paraskevi Raftopoulou and Euripides G. M. Petrakis. 2008. iCluster: A self-organizing overlay network for P2P information retrieval. In Proceedings of the 30th European Conference on Advances in Information Retrieval (ECIR&#8217;08). 65--76.Sharmila Savarimuthu, Maryam Purvis, Martin Purvis, and Bastin Tony Roy Savarimuthu. 2011. Mechanisms for the self-organization of peer groups in agent societies. In Multi-Agent-Based Simulation XI. Lecture Notes in Computer Science, Vol. 6532. Springer, 93--107.Giovanna Di Marzo Serugendo, Marie-Pierre Gleizes, and Anthony Karageorgos. 2005. Self-organization in multi-agent systems. Knowledge Engineering Review 20, 2, 165--189.Abdul Khalique Shaikh, Saadat M. Alhashmi, and Rajendran Parthiban. 2012. A semantic impact in decentralized resource discovery mechanism for grid computing environments. In Algorithms and Architectures for Parallel Processing. Lecture Notes in Computer Science, Vol. 7440. Springer, 206--216.Qixiang Sun and Hector Garcia-Molina. 2004. SLIC: A selfish link-based incentive mechanism for unstructured peer-to-peer networks. In Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS&#8217;04). 506--515.Mirko Viroli and Franco Zambonelli. 2010. A biochemical approach to adaptive service ecosystems. Information Sciences 180, 10, 1876--1892. DOI: http://dx.doi.org/10.1016/j.ins.2009.11.021Li Wang. 2011. SoFA: An expert-driven, self-organization peer-to-peer semantic communities for network resource management. Expert Systems with Applications 38, 1, 94--105.Kevin Werbach. 2000. Syndication&#8212;the emerging model for business in the Internet era. Harvard Business Review 78, 3, 84--93, 214.Tom Wolf and Tom Holvoet. 2005. Emergence versus self-organisation: Different concepts but promising when combined. In Engineering Self-Organising Systems. Lecture Notes in Computer Science, Vol. 3464. Springer, 1--15.Haizheng Zhang, W. Bruce Croft, Brian Levine, and Victor Lesser. 2004. A multi-agent approach for peer-to-peer based information retrieval system. In Proceedings of the 3rd International Conference on Autonomous Agents and Multiagent Systems, Vol. 1. 456--463.Ming Zhong. 2006. Popularity-biased random walks for peer-to-peer search under the square-root principle. In Proceedings of the 5th International Workshop on Peer-to-Peer Systems

    A search for spectroscopic binaries in the galactic globular cluster M4. Based on 5973 individual spectra collected at VLT

    Get PDF
    We present a large multi-epoch high resolution spectroscopic investigation for the search of binary candidates in the Galactic Globular Cluster (GGC) M4. The aim of our work is the identification of the binary candidates, and the determination of the binary fraction and of the binary radial distribution. We present a large multi-epoch high resolution spectroscopic investigation for the search of binary candidates in the Galactic Globular Cluster (GGC) M4. The aim of our work is the identification of the binary candidates, and the determination of the binary fraction and of the binary radial distribution. The average radial velocity of the observed cluster members is $70.29+/-0.07(+/-0.3)(+/-0.1)km/s. The search for variations in radial velocities among the stars with multi-epoch observations yielded 57 binary star candidates. Our radial velocity measurement accuracy allowed us to identify at a 3sigma level binaries with radial velocity variations larger than ~0.3km/s for the target stars with V<15, and larger than ~0.5km/s for the targets with V>15. We identified 4 binary star candidates out of 97 observed targets inside the core radius, and 53 candidates out of 2372 observed stars outside the core radius. Accounting for the incompleteness affecting our survey, the lower limit for the total binary fraction is f=3.0+/-0.3%. The lower limit for the binary fraction in the cluster core is f=5.1+/-2.3%, while outside the core it decreases to f=3.0+/-0.4%. Similarly, we found f=4.5+/-0.4% and f=1.8+/-0.6% for the binary fraction inside and outside the half mass radius.Comment: 13 pages, 12 figures, Accepted for publication in A&

    Protocol per a la vigilància i el control de les arbovirosis transmeses per mosquits a Catalunya

    Get PDF
    Arbovirus; Mosquits; Malalties víriquesArboviruses; Mosquitoes; Viral diseasesArbovirus; Mosquitos; Enfermedades víricasThis protocol aims to provide a guide for the surveillance of the most likely arbovirosis transmitted by mosquito vectors in Catalonia (West Nile virus, dengue and chikungunya), establishing a set of surveillance activities for these diseases and control of the vectors, depending on the risk level of arbovirosisEste protocolo tiene como objetivo ofrecer una guía para la vigilancia de las arbovirosi más probables transmitidas por vectores mosquitos en Cataluña (virus del Nilo Occidental, dengue y chikungunya), estableciendo un conjunto de actividades de vigilancia de estas enfermedades y de control los vectores, según el nivel de riesgo de arbovirosiAquest protocol té com a objectiu oferir una guia per a la vigilància de les arbovirosis més probables transmeses per vectors mosquits a Catalunya (virus del Nil Occidental, dengue i chikungunya), establint un conjunt d’activitats de vigilància d’aquestes malalties i de control dels vectors, segons el nivell de risc d’arbovirosi

    Protocol per a la vigilància i el control de les arbovirosis transmeses per mosquits a Catalunya

    Get PDF
    Arbovirus; Mosquits; Malalties víriquesArboviruses; Mosquitoes; Viral diseasesArbovirus; Mosquitos; Enfermedades víricasThis protocol aims to provide a guide for the surveillance of the most likely arbovirosis transmitted by mosquito vectors in Catalonia (West Nile virus, dengue and chikungunya), establishing a set of surveillance activities for these diseases and control of the vectors, depending on the risk level of arbovirosisEste protocolo tiene como objetivo ofrecer una guía para la vigilancia de las arbovirosi más probables transmitidas por vectores mosquitos en Cataluña (virus del Nilo Occidental, dengue y chikungunya), estableciendo un conjunto de actividades de vigilancia de estas enfermedades y de control los vectores, según el nivel de riesgo de arbovirosiAquest protocol té com a objectiu oferir una guia per a la vigilància de les arbovirosis més probables transmeses per vectors mosquits a Catalunya (virus del Nil Occidental, dengue i chikungunya), establint un conjunt d’activitats de vigilància d’aquestes malalties i de control dels vectors, segons el nivell de risc d’arbovirosi
    corecore