@article{SiqueiraAbouzarBaeckeretal.2009,
  author    = {Siqueira, Jos{\´e} R. Jr. and Abouzar, Maryam H. and B{\"a}cker, Matthias and Zucolotto, Valtencir and Poghossian, Arshak and Oliveira, Osvaldo N. Jr. and Sch{\"o}ning, Michael Josef},
  title     = {Carbon nanotubes in nanostructured films: Potential application as amperometric and potentiometric field-effect (bio-)chemical sensors},
  series = {physica status solidi (a) . 206 (2009), H. 3},
  journal   = {physica status solidi (a) . 206 (2009), H. 3},
  publisher = {Wiley},
  address   = {Weinheim},
  isbn      = {1862-6319},
  pages     = {462 -- 467},
  year      = {2009},
  language  = {en}
}
@article{vonKnobelsdorfBrenkenhoffFrauenrathProthmannetal.2010,
  author    = {von Knobelsdorf-Brenkenhoff, Florian and Frauenrath, Tobias and Prothmann, Marcel and Dieringer, Matthias A. and Hezel, Fabian and Renz, Wolfgang and Kretschel, Kerstin and Niendorf, Thoralf and Schulz-Menger, Jeanette},
  title     = {Cardiac chamber quantification using magnetic resonance imaging at 7 Tesla—a pilot study},
  volume    = {20},
  publisher = {Springer},
  address   = {Berlin, Heidelberg},
  issn      = {0938-7994},
  doi       = {10.1007/s00330-010-1888-2},
  pages     = {2844 -- 2852},
  year      = {2010},
  abstract  = {Objectives Interest in cardiovascular magnetic resonance (CMR) at 7 T is motivated by the expected increase in spatial and temporal resolution, but the method is technically challenging. We examined the feasibility of cardiac chamber quantification at 7 T. Methods A stack of short axes covering the left ventricle was obtained in nine healthy male volunteers. At 1.5 T, steady-state free precession (SSFP) and fast gradient echo (FGRE) cine imaging with 7 mm slice thickness (STH) were used. At 7 T, FGRE with 7 mm and 4 mm STH were applied. End-diastolic volume, end-systolic volume, ejection fraction and mass were calculated. Results All 7 T examinations provided excellent blood/myocardium contrast for all slice directions. No significant difference was found regarding ejection fraction and cardiac volumes between SSFP at 1.5 T and FGRE at 7 T, while volumes obtained from FGRE at 1.5 T were underestimated. Cardiac mass derived from FGRE at 1.5 and 7 T was larger than obtained from SSFP at 1.5 T. Agreement of volumes and mass between SSFP at 1.5 T and FGRE improved for FGRE at 7 T when combined with an STH reduction to 4 mm. Conclusions This pilot study demonstrates that cardiac chamber quantification at 7 T using FGRE is feasible and agrees closely with SSFP at 1.5 T.},
  language  = {en}
}
@misc{LindelGreiserWaxmanetal.2012,
  author    = {Lindel, Tomasz Dawid and Greiser, Andreas and Waxman, Patrick and Dietterle, Martin and Seifert, Frank and Fontius, Ulrich and Renz, Wolfgang and Dieringer, Matthias A. and Frauenrath, Tobias and Schulz-Menger, Jeanette and Niendorf, Thoralf and Ittermann, Bernd},
  title     = {Cardiac CINE MRI at 7 T using a transmit array},
  series = {2012 ISMRM Annual Meeting Proceedings},
  journal   = {2012 ISMRM Annual Meeting Proceedings},
  issn      = {1545-4428},
  year      = {2012},
  abstract  = {With its need for high SNR and short acquisition times, Cardiac MRI (CMR) is an intriguing target application for ultrahigh field MRI. Due to the sheer size of the upper torso, however, the known RF issues of 7T MRI are also most prominent in CMR. Recent years brought substantial progress but the full potential of the ultrahigh field for CMR is yet to be exploited. Parallel transmission (pTx) is a promising approach in this context and several groups have already reported B1 shimming for 7T CMR. In such a static pTx application amplitudes and phases of all Tx channels are adjusted individually but otherwise imaging techniques established in current clinical practice 1.5 T and 3 T are applied. More advanced forms of pTx as spatially selective excitation (SSE) using Transmit SENSE promise additional benefits like faster imaging with reduced fields of view or improved SAR control. SSE requires the full dynamic capabilities of pTx, however, and for the majority of today's implemented pTx hardware the internal synchronization of the Tx array does not easily permit external triggering as needed for CMR. Here we report a software solution to this problem and demonstrate the feasibility of CINE CMR at 7 T using a Tx array.},
  language  = {en}
}
@misc{TkachenkovonKnobelsdorffBrenkenhoffKleindienstetal.2012,
  author    = {Tkachenko, Valeriy and von Knobelsdorff-Brenkenhoff, Florian and Kleindienst, Denise and Winter, Lukas and Rieger, Jan and Frauenrath, Tobias and Dieringer, Matthias A. and Santoro, Davide and Niendorf, Thoralf and Schulz-Menger, Jeanette},
  title     = {Cardiovasular MR at 7Tesla: assessment of the right ventricle},
  series = {2012 ISMRM Annual Meeting Proceedings},
  journal   = {2012 ISMRM Annual Meeting Proceedings},
  issn      = {1545-4428},
  year      = {2012},
  abstract  = {The assessment of the right ventricle (RV) is a challenge in today's cardiology, but of growing clinical impact regarding patient prognosis in different cardiac diseases. The detection and differentiation of small wall motion abnormalities may help to enhance the differentiation of cardiomyopathies including Arrhythmogenic Rightventricular Cardiomyopathy. Cardiovascular magnetic resonance (CMR) at 1.5T is the accepted gold standard for RV quantification. The higher spatial resolution achievable at ultrahigh field strength (UHF) offers the potential to gain new insights into the structure and function of the RV. To approach this goal accurate RV chamber quantification at 7T has to be proven. Consequently this study examines the feasibility of assessment of RV dimensions and function at 7T using improved spatial resolution enabled by the intrinsic sensitivity gain of UHF CMR. For this purpose, a dedicated 16 channel TX/RX RF coil array is used together with 2D CINE fast gradient echo (FGRE) imaging. For comparison RV chamber quantification is conducted at 1.5T using a SSFP based state of the art clinical protocol.},
  language  = {en}
}
@misc{NoetzoldBragardFinketal.2014,
  author    = {N{\"o}tzold, K. and Bragard, Michael and Fink, K. and Griessel, R. and Wegener, R.},
  title     = {Cascaded H-bridge converter with transformer based cell power balancing in each voltage level : [Patentschrift]},
  publisher = {Europ{\"a}isches Patentamt / United States Patent and Trademark Office [u.a.]},
  address   = {Den Haag / Alexandria, VA},
  pages     = {16 S. : graph. Darst.},
  year      = {2014},
  language  = {en}
}
@inproceedings{SchifferBragard2019,
  author    = {Schiffer, Fabian and Bragard, Michael},
  title     = {Cascaded LQ and Field-Oriented Control of a Mobile Inverse Pendulum (Segway) with Permanent Magnet Synchronous Machines},
  series = {2019 20th International Conference on Research and Education in Mechatronics (REM)},
  booktitle = {2019 20th International Conference on Research and Education in Mechatronics (REM)},
  isbn      = {978-1-5386-9257-8},
  doi       = {10.1109/REM.2019.8744101},
  pages     = {1 -- 8},
  year      = {2019},
  language  = {en}
}
@inproceedings{FingerBraunBil2018,
  author    = {Finger, Felix and Braun, Carsten and Bil, Cees},
  title     = {Case studies in initial sizing for hybrid-electric general aviation aircraft},
  series = {2018 AIAA/IEEE Electric Aircraft Technologies Symposium, Cincinnati, Ohio},
  booktitle = {2018 AIAA/IEEE Electric Aircraft Technologies Symposium, Cincinnati, Ohio},
  doi       = {10.2514/6.2018-5005},
  year      = {2018},
  language  = {en}
}
@inproceedings{SchmidtsKraftWinkensetal.2021,
  author    = {Schmidts, Oliver and Kraft, Bodo and Winkens, Marvin and Z{\"u}ndorf, Albert},
  title     = {Catalog integration of heterogeneous and volatile product data},
  series = {DATA 2020: Data Management Technologies and Applications},
  booktitle = {DATA 2020: Data Management Technologies and Applications},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-83013-7},
  doi       = {10.1007/978-3-030-83014-4_7},
  pages     = {134 -- 153},
  year      = {2021},
  abstract  = {The integration of frequently changing, volatile product data from different manufacturers into a single catalog is a significant challenge for small and medium-sized e-commerce companies. They rely on timely integrating product data to present them aggregated in an online shop without knowing format specifications, concept understanding of manufacturers, and data quality. Furthermore, format, concepts, and data quality may change at any time. Consequently, integrating product catalogs into a single standardized catalog is often a laborious manual task. Current strategies to streamline or automate catalog integration use techniques based on machine learning, word vectorization, or semantic similarity. However, most approaches struggle with low-quality or real-world data. We propose Attribute Label Ranking (ALR) as a recommendation engine to simplify the integration process of previously unknown, proprietary tabular format into a standardized catalog for practitioners. We evaluate ALR by focusing on the impact of different neural network architectures, language features, and semantic similarity. Additionally, we consider metrics for industrial application and present the impact of ALR in production and its limitations.},
  language  = {en}
}
@inproceedings{SchmidtsKraftWinkensetal.2020,
  author    = {Schmidts, Oliver and Kraft, Bodo and Winkens, Marvin and Z{\"u}ndorf, Albert},
  title     = {Catalog integration of low-quality product data by attribute label ranking},
  series = {Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1},
  booktitle = {Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1},
  publisher = {SciTePress},
  address   = {Set{\´u}bal, Portugal},
  isbn      = {978-989-758-440-4},
  doi       = {10.5220/0009831000900101},
  pages     = {90 -- 101},
  year      = {2020},
  abstract  = {The integration of product data from heterogeneous sources and manufacturers into a single catalog is often still a laborious, manual task. Especially small- and medium-sized enterprises face the challenge of timely integrating the data their business relies on to have an up-to-date product catalog, due to format specifications, low quality of data and the requirement of expert knowledge. Additionally, modern approaches to simplify catalog integration demand experience in machine learning, word vectorization, or semantic similarity that such enterprises do not have. Furthermore, most approaches struggle with low-quality data. We propose Attribute Label Ranking (ALR), an easy to understand and simple to adapt learning approach. ALR leverages a model trained on real-world integration data to identify the best possible schema mapping of previously unknown, proprietary, tabular format into a standardized catalog schema. Our approach predicts multiple labels for every attribute of an inpu t column. The whole column is taken into consideration to rank among these labels. We evaluate ALR regarding the correctness of predictions and compare the results on real-world data to state-of-the-art approaches. Additionally, we report findings during experiments and limitations of our approach.},
  language  = {en}
}
@misc{LauthHagemeyerLautensacketal.1999,
  author    = {Lauth, Jakob and Hagemeyer, Alfred and Lautensack, Thomas and Deimling, Axel},
  title     = {Catalyst and catalytic oxidative dehydrogenation of alkylaromatics and paraffins : United States Patent ; patent number 5,902,918 ; date of patent: May 11, 1999 / Assignee: BASF Aktiengesellschaft. Inventors: Alfred Hagemeyer ; Gunter Lauth ; Thomas Lautensack ; Axel Deimling},
  publisher = {United States Trademark and Patent Office},
  address   = {[Alexandria, VA]},
  pages     = {6 S.},
  year      = {1999},
  language  = {en}
}