TY  - PAT
A1  - Graf, Günter
A1  - Groß, Heinz
A1  - Sponagel, Stefan
T1  - Verfahren zur Herstellung eines Dichtringes mit einer Dichtlippe : Patentschrift DE3621241C1 ; Veröffentlichungstag der Patenterteilung : 25.06.1987
Y1  - 1987
N1  - Volltext über Datenbank DEPATISnet
PB  - Deutsches Patent- und Markenamt
CY  - München
ER  - 
TY  - BOOK
A1  - Graf, Günter
A1  - Groß, Heinz
A1  - Sponagel, Stefan
T1  - Verfahren zur Herstellung eines Dichtringes : Europäische Patentschrift EP0250642B1 ; Veröffentlichungstag der Patentschrift: 11.02.1988
Y1  - 1988
N1  - Volltext über Datenbank DEPATISnet
PB  - Europäisches Patentamt
CY  - [München u.a.]
ER  - 
TY  - JOUR
A1  - Grajewski, Matthias
A1  - Hron, Jaroslav
A1  - Turek, Stefan
T1  - Numerical analysis for a new non-conforming linear finite element on quadrilaterals
JF  - Journal of Computational and Applied Mathematics
Y1  - 2006
U6  - http://dx.doi.org/10.1016/j.cam.2005.05.024
SN  - 0377-0427
VL  - 193
IS  - 1
SP  - 38
EP  - 50
ER  - 
TY  - JOUR
A1  - Grajewski, Matthias
A1  - Hron, Jaroslav
A1  - Turek, Stefan
T1  - Dual weighted a posteriori error estimation for a new nonconforming linear finite element on quadrilaterals
JF  - Applied Numerical Mathematics
N2  - After a short introduction of a new nonconforming linear finite element on quadrilaterals recently developed by Park, we derive a dual weighted residual-based a posteriori error estimator (in the sense of Becker and Rannacher) for this finite element. By computing a corresponding dual solution we estimate the error with respect to a given target error functional. The reliability and efficiency of this estimator is analyzed in several numerical experiments.
Y1  - 2005
U6  - http://dx.doi.org/10.1016/j.apnum.2004.09.016
SN  - 0168-9274
VL  - 54
IS  - 3-4
SP  - 504
EP  - 518
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Grajewski, Matthias
A1  - Kleefeld, Andreas
T1  - Detecting and approximating decision boundaries in low-dimensional spaces
JF  - Numerical Algorithms
N2  - A method for detecting and approximating fault lines or surfaces, respectively, or decision curves in two and three dimensions with guaranteed accuracy is presented. Reformulated as a classification problem, our method starts from a set of scattered points along with the corresponding classification algorithm to construct a representation of a decision curve by points with prescribed maximal distance to the true decision curve. Hereby, our algorithm ensures that the representing point set covers the decision curve in its entire extent and features local refinement based on the geometric properties of the decision curve. We demonstrate applications of our method to problems related to the detection of faults, to multi-criteria decision aid and, in combination with Kirsch’s factorization method, to solving an inverse acoustic scattering problem. In all applications we considered in this work, our method requires significantly less pointwise classifications than previously employed algorithms.
KW  - MCDA
KW  - Inverse scattering problem
KW  - Fault approximation
KW  - Fault detection
Y1  - 2023
SN  - 1572-9265
N1  - Corresponding author: Matthias Grajewski
VL  - 93
IS  - 4
PB  - Springer Science+Business Media
CY  - Dordrecht
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  - http://dx.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  - 
TY  - JOUR
A1  - Grajewski, Matthias
A1  - Köster, Michael
A1  - Turek, Stefan
T1  - Mathematical and Numerical Analysis of a Robust and Efficient Grid Deformation Method in the Finite Element Context
JF  - SIAM Journal on Scientific Computing
Y1  - 2009
U6  - http://dx.doi.org/10.1137/050639387
VL  - 31
IS  - 2
SP  - 1539
EP  - 1557
PB  - Society for Industrial and Applied Mathematics
CY  - Philadelphia, Pa.
ER  - 
TY  - INPR
A1  - Grieger, Niklas
A1  - Mehrkanoon, Siamak
A1  - Bialonski, Stephan
T1  - Preprint: Data-efficient sleep staging with synthetic time series pretraining
T2  - arXiv
N2  - Analyzing electroencephalographic (EEG) time series can be challenging, especially with deep neural networks, due to the large variability among human subjects and often small datasets. To address these challenges, various strategies, such as self-supervised learning, have been suggested, but they typically rely on extensive empirical datasets. Inspired by recent advances in computer vision, we propose a pretraining task termed "frequency pretraining" to pretrain a neural network for sleep staging by predicting the frequency content of randomly generated synthetic time series. Our experiments demonstrate that our method surpasses fully supervised learning in scenarios with limited data and few subjects, and matches its performance in regimes with many subjects. Furthermore, our results underline the relevance of frequency information for sleep stage scoring, while also demonstrating that deep neural networks utilize information beyond frequencies to enhance sleep staging performance, which is consistent with previous research. We anticipate that our approach will be advantageous across a broad spectrum of applications where EEG data is limited or derived from a small number of subjects, including the domain of brain-computer interfaces.
Y1  - 2024
ER  - 
TY  - JOUR
A1  - Grieger, Niklas
A1  - Schwabedal, Justus T. C.
A1  - Wendel, Stefanie
A1  - Ritze, Yvonne
A1  - Bialonski, Stephan
T1  - Automated scoring of pre-REM sleep in mice with deep learning
JF  - Scientific Reports
N2  - Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accuracies for the classical sleep stages of Wake, REM, and Non-REM. Meanwhile, it has been recognized that the statistics of transitional stages such as pre-REM, found between Non-REM and REM, may hold additional insight into the physiology of sleep and are now under vivid investigation. We propose a classification system based on a simple neural network architecture that scores the classical stages as well as pre-REM sleep in mice. When restricted to the classical stages, the optimized network showed state-of-the-art classification performance with an out-of-sample F1 score of 0.95 in male C57BL/6J mice. When unrestricted, the network showed lower F1 scores on pre-REM (0.5) compared to the classical stages. The result is comparable to previous attempts to score transitional stages in other species such as transition sleep in rats or N1 sleep in humans. Nevertheless, we observed that the sequence of predictions including pre-REM typically transitioned from Non-REM to REM reflecting sleep dynamics observed by human scorers. Our findings provide further evidence for the difficulty of scoring transitional sleep stages, likely because such stages of sleep are under-represented in typical data sets or show large inter-scorer variability. We further provide our source code and an online platform to run predictions with our trained network.
Y1  - 2021
U6  - http://dx.doi.org/10.1038/s41598-021-91286-0
SN  - 2045-2322
N1  - Corresponding author: Stephan Bialonski
VL  - 11
IS  - Art. 12245
PB  - Springer Nature
CY  - London
ER  - 
TY  - JOUR
A1  - Grießmeier, M.
A1  - Sonnenberg, F.
A1  - Weckesser, M.
A1  - Ziemons, Karl
A1  - Langen, K.-J.
A1  - Müller-Gärtner, H. W.
T1  - Improvement of SPECT quantification in small brain structures by using experiment based recovery-coefficient corrections
JF  - European Journal of Nuclear Medicine
Y1  - 1996
SN  - 1619-7089
N1  - Abstracts ; PSu827
VL  - 23
IS  - 9
SP  - 1238
EP  - 1238
ER  - 
TY  - JOUR
A1  - Grinsven, B. van
A1  - Bon, N. vanden
A1  - Grieten, L.
A1  - Murib, M.
A1  - Janssen, S. D.
A1  - Haenen, K.
A1  - Schneider, E.
A1  - Ingebrandt, E.
A1  - Schöning, Michael Josef
A1  - Vermeeren, V.
A1  - Ameloot, M.
A1  - Michiels, L.
A1  - Thoelen, R.
A1  - Ceuninck, W. de
A1  - Wagner, P.
T1  - Rapid assessment of the stability of DNA duplexes by impedimetric real-time monitoring of chemically induced denaturation
JF  - Lab on a Chip
Y1  - 2011
SN  - 1473-0197
VL  - 11
IS  - 9
SP  - 1656
EP  - 1663
PB  - Royal Society of Chemistry (RSC)
CY  - Cambridge
ER  - 
TY  - JOUR
A1  - Grinsven, Bart van
A1  - Bon, Natalie vanden
A1  - Strauven, Hannelore
A1  - Grieten, Lars
A1  - Murib, Mohammed
A1  - Jiménez Monroy, Kathia L.
A1  - Janssens, Stoffel D.
A1  - Haenen, Ken
A1  - Schöning, Michael Josef
A1  - Vermeeren, Veronique
A1  - Ameloot, Marcel
A1  - Michiels, Luc
A1  - Thoelen, Ronald
A1  - Ceuninck, Ward de
A1  - Wagner, Patrick
T1  - Heat-Transfer Resistance at Solid-Liquid Interfaces: A Tool for The Detection of Single Nucleotide Polymorphisms in DNA.
JF  - ACS Nano
N2  - In this article, we report on the heat-transfer resistance at interfaces as a novel, denaturation-based method to detect single-nucleotide polymorphisms in DNA. We observed that a molecular brush of double-stranded DNA grafted onto synthetic diamond surfaces does not notably affect the heat-transfer resistance at the solid-to-liquid interface. In contrast to this, molecular brushes of single-stranded DNA cause, surprisingly, a substantially higher heat-transfer resistance and behave like a thermally insulating layer. This effect can be utilized to identify ds-DNA melting temperatures via the switching from low- to high heat-transfer resistance. The melting temperatures identified with this method for different DNA duplexes (29 base pairs without and with built-in mutations) correlate nicely with data calculated by modeling. The method is fast, label-free (without the need for fluorescent or radioactive markers), allows for repetitive measurements, and can also be extended toward array formats. Reference measurements by confocal fluorescence microscopy and impedance spectroscopy confirm that the switching of heat-transfer resistance upon denaturation is indeed related to the thermal on-chip denaturation of DNA.
Y1  - 2012
U6  - http://dx.doi.org/10.1021/nn300147e
SN  - 1936-086X
VL  - 6
IS  - 3
SP  - 2712
EP  - 2721
PB  - ACS Publications
CY  - Washington, DC
ER  - 
TY  - CHAP
A1  - Groebel, Simone
A1  - Werner, Frederik
A1  - Jörres, Niklas
A1  - Jansen, F.
A1  - Kasper, Katharina
A1  - Schiffels, Johannes
A1  - Sprenger, B.
A1  - Baumann, Marcus
A1  - Schöning, Michael Josef
A1  - Selmer, Thorsten
T1  - Entwicklung einer Sensor-Überwachung für Biogasanlagen auf Basis von Prozessdaten einer Parallelanlage
T2  - 10. Dresdner Sensor-Symposium : Dresden, 5. - 7. Dezember 2011 ; miniaturisierte analytische Verfahren, Hochtemperatur-Sensoren, Sensoren für Bioprozess- und Verfahrenstechnik, Sensoren für die Medizin, Chemische Verfahrenstechnik, Lebensmittelanalytik, innovative Sensorlösungen, Sensoren für die Wasserqualität, Selbstüberwachung / Gerald Gerlach ... (Hg.)
N2  - Beim Ausbau nachhaltiger, regenerativer Energieversorgung hat die Umwandlung von organischer Biomasse in Biogas ein großes Potential. Der zugrundeliegende, komplexe biologische Prozess wird noch immer unzureichend verstanden und bedarf systematischer Untersuchungen der Prozessparameter, um einen hohen Ertrag bei guter Gasqualität zu ermöglichen. Die Fragestellungen zur Entschlüsselung des Prozesses sind sowohl verfahrenstechnischer als auch mikrobiologischer Natur. Aus mikrobiologischer Sicht ist die Kenntnis der tatsächlich beteiligten prozesstragenden Mikroorganismen von erheblicher Bedeutung, aus verfahrenstechnischer Sicht die Kenntnis der physikalischen und chemischen Faktoren, welche die mikrobiologischen Prozesse und kontrollieren. Im Zusammenspiel aller dieser Parameter wird die Biogasbildung befördert oder behindert, bis zum Abbruch des Prozesses.
Eine mögliche Kontrollmethode ist die Messung der metabolischen Aktivität prozesstragender Organismen.
Diese soll, beruhend auf fundierten Prozessdaten, gewonnen durch eine Parallelanlage, mit einem lichtadressierbaren potentiometrischen Sensor-System (LAPS) realisiert werden. Dieser Sensor ist in der Lage, pH-Wert-änderungen zu detektieren, die durch den Stoffwechsel der auf dem Chip immobilisierten Organismen hervorgerufen werden, um eine Online-Überwachung von Biogasanlagen zu ermöglichen.
Y1  - 2011
SN  - 978-3-942710-53-4
U6  - http://dx.doi.org/10.5162/10dss2011/4.3
N1  - Dresdner Beiträge zur Sensorik 43 ;
Dresdner Sensor-Symposium ; 10 ; 2011 ; Dresden ; Forschungsgesellschaft für Messtechnik, Sensorik und Medizintechnik ; Zehntes Dresdner Sensor-Symposium ; Dresdner Sensor-Symposium ; (10 ; 2011.12.05-07 ; Dresden)
SP  - 81
EP  - 84
PB  - TUDpress
CY  - Dresden
ER  - 
TY  - JOUR
A1  - Grotendorst, Johannes
T1  - On calculating the rate of linear convergence of non-linear transformed sequences
JF  - Proceeding SNC '11 Proceedings of the 2011 International Workshop on Symbolic-Numeric Computation
Y1  - 2011
SN  - 978-1-4503-0515-0
SP  - 24
EP  - 33
PB  - ACM
CY  - New York, NY
ER  - 
TY  - BOOK
A1  - Grotendorst, Johannes
T1  - Computational Nanoscience: Do it yourself! : winter school, 14 - 22 February 2006, Forschungszentrum Jülich, Germany ; lecture notes / Grotendorst, Johannes
Y1  - 2006
SN  - 3-00-017350-1
N1  - NIC series ; 31 ; Forschungszentrum <Jülich> / John-von-Neumann-Institut für Computing <Jülich>
PB  - NIC
CY  - Jülich
ER  - 
TY  - BOOK
A1  - Grotendorst, Johannes
T1  - GALA - Grünenthal Applied Life Science Analysis : Bericht ; [Projektdokumentation] / John von Neumann-Institut für Computing (NIC); Zentralinstitut für Angewandte Mathematik. Achim Kless und Johannes Grotendorst (Hrsg.)
Y1  - 2006
SN  - 3-00-017349-8
N1  - NIC-Serie ; 30 ; John von Neumann-Institut für Computing <Jülich>
PB  - NIC
CY  - Jülich
ER  - 
TY  - BOOK
A1  - Grotendorst, Johannes
T1  - High performance computing in chemistry : report of the joint research project: High Performance Computing in Chemistry - HPC-Chem ; funded by the Federal Ministry for Education and Research (BMBF) ; period: 1 March 2001 - 29 February 2004 / ed. by Johannes Grotendorst
Y1  - 2004
SN  - 3-00-013618-5
N1  - NIC-Serie ; 25 ; John von Neumann Institute for Computing <Jülich>
PB  - NIC
CY  - Jülich
ER  - 
TY  - BOOK
A1  - Grotendorst, Johannes
T1  - ComputerMathematik mit Maple
Y1  - 2003
SN  - 3-89336-325-4
PB  - Forschungszentrum Jülich
CY  - Jülich
ER  - 
TY  - BOOK
A1  - Grotendorst, Johannes
T1  - ComputerMathematik mit Maple / 2. Aufl.
Y1  - 2003
SN  - 3-89336-354-8
N1  - Schriften des Forschungszentrums Jülich : Reihe Informationstechnik ; 5
PB  - Forschungszentrum Jülich
CY  - Jülich
ER  - 
TY  - BOOK
A1  - Grotendorst, Johannes
T1  - Quantum simulations of complex many body systems/<1>
Y1  - 2002
SN  - 3-00-009057-6
N1  - NIC series ; 10 ; John-von-Neumann-Institut für Computing <Jülich>
PB  - Forschungszentrum Jülich
CY  - Jülich
ER  -