@article{NoureddineKraffLaddetal.2019,
  author    = {Noureddine, Yacine and Kraff, Oliver and Ladd, Mark E. and Wrede, Karsten and Chen, Bixia and Quick, Harald H. and Schaefers, Georg and Bitz, Andreas},
  title     = {Radiofrequency induced heating around aneurysm clips using a generic birdcage head coil at 7 Tesla under consideration of the minimum distance to decouple multiple aneurysm clips},
  series = {Magnetic Resonance in Medicine},
  journal   = {Magnetic Resonance in Medicine},
  number    = {Early view},
  publisher = {Wiley},
  address   = {Weinheim},
  issn      = {1522-2594},
  doi       = {10.1002/mrm.27835},
  pages     = {1 -- 17},
  year      = {2019},
  language  = {en}
}
@article{NoureddineBitzLaddetal.2015,
  author    = {Noureddine, Yacine and Bitz, Andreas and Ladd, Mark E. and Th{\"u}rling, Markus and Ladd, Susanne C. and Schaefers, Gregor and Kraff, Oliver},
  title     = {Experience with magnetic resonance imaging of human subjects with passive implants and tattoos at 7 T: a retrospective study},
  series = {Magnetic Resonance Materials in Physics, Biology and Medicine},
  volume    = {28},
  journal   = {Magnetic Resonance Materials in Physics, Biology and Medicine},
  number    = {6},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1352-8661},
  doi       = {10.1007/s10334-015-0499-y},
  pages     = {577 -- 590},
  year      = {2015},
  language  = {en}
}
@article{NomdedeuWillenSchiefferetal.2012,
  author    = {Nomdedeu, Mar Monsonis and Willen, Christine and Schieffer, Andre and Arndt, Hartmut},
  title     = {Temperature-dependent ranges of coexistence in a model of a two-prey-one-predator microbial food web},
  series = {Marine Biology},
  volume    = {159},
  journal   = {Marine Biology},
  number    = {11},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1432-1793},
  doi       = {10.1007/s00227-012-1966-x},
  pages     = {2423 -- 2430},
  year      = {2012},
  abstract  = {The objective of our study was to analyze the effects of temperature on the population dynamics of a three-species food web consisting of two prey bacteria (Pedobacter sp. and Acinetobacter johnsonii) and a protozoan predator (Tetrahymena pyriformis) as model organisms. We assessed the effects of temperature on the growth rates of all three species with the objective of developing a model with four differential equations based on the experimental data. The following hypotheses were tested at a theoretical level: Firstly, temperature changes can affect the dynamic behavior of a system by temperature-dependent parameters and interactions and secondly, food web response to temperature cannot be derived from the single species temperature response. The main outcome of the study is that temperature changes affect the parameter range where coexistence is possible within all three species. This has significant consequences on our ideas regarding the evaluation of effects of global warming.},
  language  = {en}
}
@article{NokiharaBerndt1978,
  author    = {Nokihara, Kiyoshi and Berndt, Heinz},
  title     = {Synthesis of hapten-polypeptide conjugates as antigen models for the N-terminal region of the α-2-chain of rabbit skin collagen},
  series = {Journal of the Royal Society of Chemistry: Perkin Transactions 1},
  volume    = {1978},
  journal   = {Journal of the Royal Society of Chemistry: Perkin Transactions 1},
  number    = {3},
  publisher = {Royal Society of Chemistry},
  address   = {Cambridge},
  issn      = {1364-5463},
  doi       = {10.1039/P19780000260},
  pages     = {260 -- 263},
  year      = {1978},
  abstract  = {Synthesis of derivatives of the peptide sequence L-pyroglutamyl-L-phenylalanyl-L-aspartyl-glycyl-L-lysyl-glycyl-glycyl-glycine as the antigenic determinant representing the N-terminal non-helical region of the α-2-chain of rabbit skin collagen, and conjugation to two different polypeptide carriers, are described.},
  language  = {en}
}
@article{NokiharaBerndt1978,
  author    = {Nokihara, Kiyoshi and Berndt, Heinz},
  title     = {Studies on sulfur-containing peptides : tert-butyloxycarbonylsulfenyl and benzyloxycarbonylsulfenyl derivatives as protecting groups for cysteine},
  series = {The journal of organic chemistry},
  volume    = {43},
  journal   = {The journal of organic chemistry},
  number    = {25},
  publisher = {American Chemical Society},
  address   = {Washington},
  issn      = {0022-3263},
  doi       = {10.1021/jo00419a046},
  pages     = {4893 -- 4895},
  year      = {1978},
  language  = {en}
}
@misc{NobisrathZuendorfGeorgeetal.2017,
  author    = {Nobisrath, Ulrich and Z{\"u}ndorf, Albert and George, Tobias and Ruben, Jubeh and Kraft, Bodo},
  title     = {Software Stories Guide},
  pages     = {21},
  year      = {2017},
  abstract  = {Software Stories are a simple graphical notation for requirements analysis and design in agile software projects. Software Stories are based on example scenarios. Example scenarios facilitate the communication between lay people or domain experts and software experts.},
  language  = {en}
}
@article{NobisSchmittSchemmetal.2020,
  author    = {Nobis, Moritz and Schmitt, Carlo and Schemm, Ralf and Schnettler, Armin},
  title     = {Pan-European CVAR-constrained stochastic unit commitment in day-ahead and intraday electricity markets},
  series = {Energies},
  volume    = {13},
  journal   = {Energies},
  number    = {Art. 2339},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1996-1073},
  doi       = {10.3390/en13092339},
  pages     = {1 -- 35},
  year      = {2020},
  abstract  = {The fundamental modeling of energy systems through individual unit commitment decisions is crucial for energy system planning. However, current large-scale models are not capable of including uncertainties or even risk-averse behavior arising from forecasting errors of variable renewable energies. However, risks associated with uncertain forecasting errors have become increasingly relevant within the process of decarbonization. The intraday market serves to compensate for these forecasting errors. Thus, the uncertainty of forecasting errors results in uncertain intraday prices and quantities. Therefore, this paper proposes a two-stage risk-constrained stochastic optimization approach to fundamentally model unit commitment decisions facing an uncertain intraday market. By the nesting of Lagrangian relaxation and an extended Benders decomposition, this model can be applied to large-scale, e.g., pan-European, power systems. The approach is applied to scenarios for 2023—considering a full nuclear phase-out in Germany—and 2035—considering a full coal phase-out in Germany. First, the influence of the risk factors is evaluated. Furthermore, an evaluation of the market prices shows an increase in price levels as well as an increasing day-ahead-intraday spread in 2023 and in 2035. Finally, it is shown that intraday cross-border trading has a significant influence on trading volumes and prices and ensures a more efficient allocation of resources.},
  language  = {en}
}
@inproceedings{NixFrotscherStaat2012,
  author    = {Nix, Yvonne and Frotscher, Ralf and Staat, Manfred},
  title     = {Implementation of the edge-based smoothed extended finite element method},
  series = {Proceedings 6th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2012) Vienna, Austria, September 10-14, 2012},
  booktitle = {Proceedings 6th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2012) Vienna, Austria, September 10-14, 2012},
  editor    = {Eberhardsteiner, J.},
  year      = {2012},
  language  = {en}
}
@book{Nissen2008,
  author    = {Nissen, Holger},
  title     = {[Skripte]},
  year      = {2008},
  language  = {en}
}
@inproceedings{NikolovskiRekeElsenetal.2021,
  author    = {Nikolovski, Gjorgji and Reke, Michael and Elsen, Ingo and Schiffer, Stefan},
  title     = {Machine learning based 3D object detection for navigation in unstructured environments},
  series = {2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)},
  booktitle = {2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)},
  publisher = {IEEE},
  isbn      = {978-1-6654-7921-9},
  doi       = {10.1109/IVWorkshops54471.2021.9669218},
  pages     = {236 -- 242},
  year      = {2021},
  abstract  = {In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine.},
  language  = {en}
}