OPUS 4 | Fachbereich Medizintechnik und Technomathematik

Fachbereich Medizintechnik und Technomathematik

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Triceps surae muscle and tendon function in relation to sports performance (2013)

Albracht, Kirsten

OpenFlow: A Perspective for Building Versatile Networks (2013)

Bozakov, Zdravko ; Sander, Volker

Usage of Carbonized Plant Wastes for Purification of Aqueous Solutions (2013)

Digel, Ilya ; Akimbekov, Nuraly S. ; Turalieva, M. ; Mansurov, Zulkhair A. ; Temiz Artmann, Aysegül ; Eshibaev, A. A. ; Zhubanova, Azhar Achmet

Investigations of LPS endotoxin elimination in the flowing column conditions with the sorbent on the basis of carbonized rice husk (2013)

Akimbekov, Nuraly S. ; Digel, Ilya ; Savitkaya, I.S. ; Zhubanova, A.A. ; Tastambek, K.T.

Biocompatibility of carbonized rice husk with a rat heart cells line H9c2 (2013)

Akimbekov, Nuraly S. ; Digel, Ilya ; Tastambek, K. T. ; Zhubanova, A. A.

Investigation the Influence of Carbonized Material Based On Rice Husk on Viability and Migration of Fibroblasts in T3B3 Cell Culture (2013)

Akimbekov, Nuraly S. ; Digel, Ilya ; Zhubanova, A. A.

Performance of Bio-Composite Carbonized Materials in Probiotic Applications (2013)

Savitskaya, Irina S. ; Kistaubayeva, Aida S. ; Akimbekov, Nuraly S. ; Digel, Ilya ; Zhubanova, Azhar A.

Designing of Heterogeneous Nanobiocomposites for Biotechnology (2013)

Zhubanova, А. ; Mansurov, Z.A. ; Digel, Ilya ; Saviskaya, I.S. ; Akimbekov, Nuraly S.

Studies of Epstein-Barr virus EBNA2 and its interactions with host cell factors (2013)

Geenen, Eva-Maria

From time series to complex networks: an overview (2013)

Bialonski, Stephan ; Lehnertz, Klaus

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.

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