TY  - JOUR
A1  - Tran, Thanh Ngoc
A1  - Staat, Manfred
T1  - Shakedown analysis of two dimensional structures by an edge-based smoothed finite element method
Y1  - 2010
N1  - ECCM 2010, IV European Conference on Computational Mechanics, Paris, France, May 16-21, 2010.
SP  - 1
EP  - 7
ER  - 
TY  - JOUR
A1  - Siqueira, José R. Jr.
A1  - Bäcker, Matthias
A1  - Poghossian, Arshak
A1  - Zucolotto, Valtencir
A1  - Oliveira, Osvaldo N. Jr.
A1  - Schöning, Michael Josef
T1  - Associating biosensing properties with the morphological structure of multilayers containing carbon nanotubes on field-effect devices
JF  - Physica status solidi (a). 207 (2010), H. 4
Y1  - 2010
SN  - 1862-6300
N1  - Special Issue: Engineering of Functional Interfaces EnFI 2009
SP  - 781
EP  - 786
ER  - 
TY  - JOUR
A1  - Digel, Ilya
T1  - In-situ biological decontamination of an ice melting probe
Y1  - 2010
N1  - 38th COSPAR Scientific Assembly. Held 18-15 July 2010, in Bremen, Germany
Abstract unter https://www.cospar-assembly.org/abstractcd/OLD/COSPAR-10/abstracts/data/pdf/abstracts/F36-0013-10.pdf
ER  - 
TY  - CHAP
A1  - Beging, Stefan
A1  - Poghossian, Arshak
A1  - Mlynek, D.
A1  - Hataihimakul, S.
A1  - Pedraza, A.
A1  - Dhawan, S.
A1  - Laube, N.
A1  - Kleinen, L.
A1  - Baldsiefen, G.
A1  - Busch, H.
A1  - Schöning, Michael Josef
T1  - Ion-selective sensors for the determination of the risk of urinary stone formation
T2  - Micro- and Nanosystems in biochemical diagnosis : Principles and applications
Y1  - 2010
SP  - 74
EP  - 80
CY  - Warsaw
ER  - 
TY  - JOUR
A1  - Horstmann, Marie-Therese
A1  - Bialonski, Stephan
A1  - Noenning, Nina
A1  - Mai, Heinke
A1  - Prusseit, Jens
A1  - Wellmer, Jörg
A1  - Hinrichs, Hermann
A1  - Lehnertz, Klaus
T1  - State dependent properties of epileptic brain networks: Comparative graph–theoretical analyses of simultaneously recorded EEG and MEG
JF  - Clinical Neurophysiology
N2  - Objective
To investigate whether functional brain networks of epilepsy patients treated with antiepileptic medication differ from networks of healthy controls even during the seizure-free interval.

Methods
We applied different rules to construct binary and weighted networks from EEG and MEG data recorded under a resting-state eyes-open and eyes-closed condition from 21 epilepsy patients and 23 healthy controls. The average shortest path length and the clustering coefficient served as global statistical network characteristics.

Results
Independent on the behavioral condition, epileptic brains exhibited a more regular functional network structure. Similarly, the eyes-closed condition was characterized by a more regular functional network structure in both groups. The amount of network reorganization due to behavioral state changes was similar in both groups. Consistent findings could be achieved for networks derived from EEG but hardly from MEG recordings, and network construction rules had a rather strong impact on our findings.

Conclusions
Despite the locality of the investigated processes epileptic brain networks differ in their global characteristics from non-epileptic brain networks. Further methodological developments are necessary to improve the characterization of disturbed and normal functional networks.

Significance
An increased regularity and a diminished modulation capability appear characteristic of epileptic brain networks.
Y1  - 2010
U6  - https://doi.org/10.1016/j.clinph.2009.10.013
SN  - 1388-2457
VL  - 121
IS  - 2
SP  - 172
EP  - 185
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Ullrich, Sebastian
A1  - Grottke, Oliver
A1  - Rossaint, Rolf
A1  - Staat, Manfred
A1  - Deserno, Thomas M.
A1  - Kuhlen, Torsten
T1  - Virtual Needle Simulation with Haptics for Regional Anaesthesia
Y1  - 2010
N1  - IEEE Virtual Reality 2010, Workshop on Medical Virtual Environments, Waltham, MA, USA, March 21, 2010
SP  - 1
EP  - 3
ER  - 
TY  - JOUR
A1  - Grajewski, Matthias
A1  - Köster, Michael
A1  - Turek, Stefam
T1  - Numerical analysis and implementational aspects of a new multilevel grid deformation method
JF  - Applied Numerical Mathematics
N2  - Recently, we introduced and mathematically analysed a new method for grid deformation (Grajewski et al., 2009) [15] we call basic deformation method (BDM) here. It generalises the method proposed by Liao et al. (Bochev et al., 1996; Cai et al., 2004; Liao and Anderson, 1992) [4], [6], [20]. In this article, we employ the BDM as core of a new multilevel deformation method (MDM) which leads to vast improvements regarding robustness, accuracy and speed. We achieve this by splitting up the deformation process in a sequence of easier subproblems and by exploiting grid hierarchy. Being of optimal asymptotic complexity, we experience speed-ups up to a factor of 15 in our test cases compared to the BDM. This gives our MDM the potential for tackling large grids and time-dependent problems, where possibly the grid must be dynamically deformed once per time step according to the user's needs. Moreover, we elaborate on implementational aspects, in particular efficient grid searching, which is a key ingredient of the BDM.
Y1  - 2010
U6  - https://doi.org/10.1016/j.apnum.2010.03.017
SN  - 0168-9274
VL  - 60
IS  - 8
SP  - 767
EP  - 781
PB  - Elsevier
CY  - Amsterdam
ER  -