TY - BOOK A1 - Grotendorst, Johannes T1 - Modern methods and algorithms of quantum chemistry : winter school, 21 - 25 February 2000, Forschungszentrum Jülich, Germany ; Poster Presentations / organized by John-von-Neumann-Institute for Computing (NIC). Ed. by Johannes Grotendorst ... Y1 - 2000 SN - 3-00-005746-3 N1 - NIC series ; 2 ; Forschungszentrum ; John-von-Neumann-Institut für Computing PB - NIC CY - Jülich ER - TY - BOOK A1 - Grotendorst, Johannes T1 - Calculation of Chemical Equilibrium Compositions : Interner Bericht Y1 - 1994 N1 - Technical Report IB-9406 ; KFA-ZAM-IB-9406 PB - Forschungszentrum Jülich CY - Jülich ER - TY - JOUR A1 - Grotendorst, Johannes T1 - Algorithms of mixed symbolic-numeric type for rational approximation JF - Artificial intelligence, expert systems and symbolic computing : selected and revised papers from the IMACS 13th World Congress [on Computation and Applied Mathematics], Dublin, Ireland, July 1991 / ed. by Elias N. Houstis ... Y1 - 1992 SN - 0-444-89703-8 N1 - zgl. Technical Report KFA-ZAM-IB-9205 ; World Congress on Computation and Applied Mathematics <13, 1991, Dublin> ; International Association for Mathematics and Computers in Simulation SP - 145 EP - 154 PB - North-Holland CY - Amsterdam ER - TY - JOUR A1 - Grotendorst, Johannes T1 - A Maple package for transforming series, sequences and functions JF - Computer Physics Communications. 67 (1991), H. 2 Y1 - 1991 SN - 0010-4655 SP - 325 EP - 342 ER - TY - JOUR A1 - Grotendorst, Johannes T1 - Approximating functions by means of symbolic computation and a general extrapolation method JF - Computer Physics Communications. 59 (1990), H. 2 Y1 - 1990 SN - 0010-4655 SP - 289 EP - 301 ER - TY - JOUR A1 - Grotendorst, Johannes T1 - IAS Winter School: Hierarchical Methods for Dynamics in Complex Molecular Systems JF - Innovatives Supercomputing in Deutschland : inSiDE Y1 - 2012 VL - 10 SP - 104 EP - 1 ER - TY - JOUR A1 - Grinsven, Bart van A1 - Vanden Bon, Natalie A1 - Grieten, Lars A1 - Murib, Mohammed Sharif A1 - Janssen, Stoffel Dominique A1 - Haenen, Ken A1 - Schneider, E. A1 - Ingebrandt, Sven A1 - Schöning, Michael Josef A1 - Vermeeren, Veronique A1 - Ameloot, Marcel A1 - Michiels, Luc A1 - Thoelen, Ronald A1 - De Ceuninck, Ward A. A1 - Wagner, Patrick 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 - https://doi.org/10.1021/nn300147e SN - 1936-086X VL - 6 IS - 3 SP - 2712 EP - 2721 PB - ACS Publications CY - Washington, DC 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 - 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 -