@incollection{BozakovSander2013,
  author    = {Bozakov, Zdravko and Sander, Volker},
  title     = {OpenFlow: A Perspective for Building Versatile Networks},
  series = {Network-Embedded Management and Applications},
  booktitle = {Network-Embedded Management and Applications},
  publisher = {Springer},
  address   = {New York, NY},
  isbn      = {978-1-4419-6769-5},
  doi       = {10.1007/978-1-4419-6769-5_11},
  pages     = {217 -- 245},
  year      = {2013},
  language  = {en}
}
@article{DigelAkimbekovTuralievaetal.2013,
  author    = {Digel, Ilya and Akimbekov, N. and Turalieva, M. and Mansurov, Z. and Temiz Artmann, Ayseg{\"u}l and Eshibaev, A. and Zhubanova, A.},
  title     = {Usage of Carbonized Plant Wastes for Purification of Aqueous Solutions},
  series = {Journal of Industrial Technology and Engineering},
  volume    = {2},
  journal   = {Journal of Industrial Technology and Engineering},
  number    = {07},
  pages     = {47 -- 54},
  year      = {2013},
  language  = {en}
}
@article{AkimbekovDigelSavitkayaetal.2013,
  author    = {Akimbekov, N.Sh. and Digel, Ilya and Savitkaya, I.S. and Zhubanova, A.A. and Tastambek, K.T.},
  title     = {Investigations of LPS endotoxin elimination in the flowing column conditions with the sorbent on the basis of carbonized rice husk},
  series = {KazNU Bulletin. Biology series},
  volume    = {57},
  journal   = {KazNU Bulletin. Biology series},
  number    = {1},
  issn      = {1563-0218},
  pages     = {124 -- 127},
  year      = {2013},
  language  = {en}
}
@article{AkimbekovDigelTastambeketal.2013,
  author    = {Akimbekov, N. S. and Digel, Ilya and Tastambek, K. T. and Zhubanova, A. A.},
  title     = {Biocompatibility of carbonized rice husk with a rat heart cells line H9c2},
  series = {Experimental Biology},
  volume    = {59},
  journal   = {Experimental Biology},
  number    = {3/1},
  issn      = {1563-0218},
  pages     = {23 -- 25},
  year      = {2013},
  language  = {en}
}
@article{AkimbekovDigelZhubanova2013,
  author    = {Akimbekov, N. Sh. and Digel, Ilya and Zhubanova, A. A.},
  title     = {Investigation the Influence of Carbonized Material Based On Rice Husk on Viability and Migration of Fibroblasts in T3B3 Cell Culture},
  series = {KazNU Bulletin. Biology series},
  volume    = {59},
  journal   = {KazNU Bulletin. Biology series},
  number    = {3/1},
  issn      = {1563-0218},
  pages     = {20 -- 23},
  year      = {2013},
  language  = {en}
}
@inproceedings{SavitskayaKistaubayevaAkimbekovetal.2013,
  author    = {Savitskaya, Irina S. and Kistaubayeva, Aida S. and Akimbekov, Nuraly S. and Digel, Ilya and Zhubanova, Azhar A.},
  title     = {Performance of Bio-Composite Carbonized Materials in Probiotic Applications},
  series = {World Academy of Science, Engineering and Technology International Journal of Biotechnology and Bioengineering},
  volume    = {7},
  booktitle = {World Academy of Science, Engineering and Technology International Journal of Biotechnology and Bioengineering},
  number    = {7},
  pages     = {685 -- 689},
  year      = {2013},
  language  = {en}
}
@phdthesis{Geenen2013,
  author    = {Geenen, Eva-Maria},
  title     = {Studies of Epstein-Barr virus EBNA2 and its interactions with host cell factors},
  publisher = {Universit{\´e} de Grenoble},
  address   = {Grenoble},
  pages     = {125 S.},
  year      = {2013},
  language  = {en}
}
@incollection{BialonskiLehnertz2013,
  author    = {Bialonski, Stephan and Lehnertz, Klaus},
  title     = {From time series to complex networks: an overview},
  series = {Recent Advances in Predicting and Preventing Epileptic Seizures: Proceedings of the 5th International Workshop on Seizure Prediction},
  booktitle = {Recent Advances in Predicting and Preventing Epileptic Seizures: Proceedings of the 5th International Workshop on Seizure Prediction},
  isbn      = {978-981-4525-36-7},
  doi       = {10.1142/9789814525350_0010},
  pages     = {132 -- 147},
  year      = {2013},
  abstract  = {The network approach towards the analysis of the dynamics of complex systems has been successfully applied in a multitude of studies in the neurosciences and has yielded fascinating insights. With this approach, a complex system is considered to be composed of different constituents which interact with each other. Interaction structures can be compactly represented in interaction networks. In this contribution, we present a brief overview about how interaction networks are derived from multivariate time series, about basic network characteristics, and about challenges associated with this analysis approach.},
  language  = {en}
}
@article{BialonskiLehnertz2013,
  author    = {Bialonski, Stephan and Lehnertz, Klaus},
  title     = {Assortative mixing in functional brain networks during epileptic seizures},
  series = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
  volume    = {23},
  journal   = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
  number    = {3},
  doi       = {10.1063/1.4821915},
  pages     = {033139},
  year      = {2013},
  language  = {en}
}
@article{KuhnertBialonskiNoenningetal.2013,
  author    = {Kuhnert, Marie-Therese and Bialonski, Stephan and Noenning, Nina and Mai, Heinke and Hinrichs, Hermann and Helmstaedter, Christoph and Lehnertz, Klaus},
  title     = {Incidental and intentional learning of verbal episodic material differentially modifies functional brain networks},
  series = {Plos one},
  volume    = {8},
  journal   = {Plos one},
  number    = {11},
  publisher = {PLOS},
  address   = {San Francisco},
  doi       = {10.1371/journal.pone.0080273},
  pages     = {e80273},
  year      = {2013},
  abstract  = {Learning- and memory-related processes are thought to result from dynamic interactions in large-scale brain networks that include lateral and mesial structures of the temporal lobes. We investigate the impact of incidental and intentional learning of verbal episodic material on functional brain networks that we derive from scalp-EEG recorded continuously from 33 subjects during a neuropsychological test schedule. Analyzing the networks' global statistical properties we observe that intentional but not incidental learning leads to a significantly increased clustering coefficient, and the average shortest path length remains unaffected. Moreover, network modifications correlate with subsequent recall performance: the more pronounced the modifications of the clustering coefficient, the higher the recall performance. Our findings provide novel insights into the relationship between topological aspects of functional brain networks and higher cognitive functions.},
  language  = {en}
}