13 resultados para physics.plasm-ph

em Aberdeen University


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ACKNOWLEDGMENTS MW and RVD have been supported by the German Federal Ministry for Education and Research (BMBF) via the Young Investigators Group CoSy-CC2 (grant no. 01LN1306A). JFD thanks the Stordalen Foundation and BMBF (project GLUES) for financial support. JK acknowledges the IRTG 1740 funded by DFG and FAPESP. MT Gastner is acknowledged for providing his data on the airline, interstate, and Internet network. P Menck thankfully provided his data on the Scandinavian power grid. We thank S Willner on behalf of the entire zeean team for providing the data on the world trade network. All computations have been performed using the Python package pyunicorn [41] that is available at https://github.com/pik-copan/pyunicorn.

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7 pages, 4 figures Acknowledgement We are grateful to M. Riedl and G. Ansmann for fruitful discussions and critical comments on earlier versions of the manuscript. This work was supported by the Volkswagen Foundation (Grant Nos. 88461, 88462, 88463, 85390, 85391 and 85392).

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28 pages, 6 figures; version submitted to Proceedings of the National Academy of Sciences

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Acknowledgements MW and RVD have been supported by the German Federal Ministry for Education and Research via the BMBF Young Investigators Group CoSy-CC2 (grant 18 Marc Wiedermann et al. no. 01LN1306A). JFD thanks the Stordalen Foundation and BMBF (project GLUES) for financial support. JK acknowledges the IRTG 1740 funded by DFG and FAPESP. Coupled climate network analysis has been performed using the Python package pyunicorn (Donges et al, 2015a) that is available at https://github.com/pik-copan/pyunicorn.

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28 pages, 6 figures; version submitted to Proceedings of the National Academy of Sciences

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Acknowledgements MW and RVD have been supported by the German Federal Ministry for Education and Research via the BMBF Young Investigators Group CoSy-CC2 (grant 18 Marc Wiedermann et al. no. 01LN1306A). JFD thanks the Stordalen Foundation and BMBF (project GLUES) for financial support. JK acknowledges the IRTG 1740 funded by DFG and FAPESP. Coupled climate network analysis has been performed using the Python package pyunicorn (Donges et al, 2015a) that is available at https://github.com/pik-copan/pyunicorn.

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in Portuguese Agradecimentos A realização do trabalho foi possível devido ao auxílio financeiro das seguintes agências: Fundação Araucária, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior e Conselho Nacional de Desenvolvimento Científico e Tecnológico – Programa Ciência sem Fronteiras, processos número : 245377/2012-3 e 17656125.

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For Supplementary Information, see http://sss.bnu.edu.cn/~wenxuw/publications/SI_reconstruct_binary.pdf

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We wish to acknowledge the support of the Brazilian agencies: CNPq, CAPES, and FAPESP (2015/07311-7 and 2011/19296-1).

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7 pages, 6 figures

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8 pages, 7 figures ACKNOWLEDGEMENT The authors wish to thank the Nesin foundation for an amazing working group activity in Nesin Math Village and wish to thank Tiago Pereira for fruitful discussions. PS and JK acknowledge gratefully the support of BMBF, CoNDyNet, FK. 03SF0472A. TP acknowledges FAPESP (No. 2012/22160-7 and No. 2015/02486-3) and IRTG 1740. DE acknowledge support by the Leibniz Association (WGL) under Grant No. SAW-2013-IZW-2.

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Acknowledgements This study was possible by partial financial support from the following Brazilian government agencies: CNPq, CAPES, and FAPESP (2011/19296-1 and 2015/07311-7). We also wish thank Newton Fund and COFAP.

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We wish to acknowledge the support of the Brazilian agencies: CNPq, CAPES, and FAPESP (2015/07311-7 and 2011/19296-1).