Institution
University of Duisburg-Essen
Education•Essen, Nordrhein-Westfalen, Germany•
About: University of Duisburg-Essen is a education organization based out in Essen, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 16072 authors who have published 39972 publications receiving 1109199 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this review potential alterations with focus on N-glycosylation of mAbs and Fc fusion proteins and the possible effects on the pharmacokinetics are reviewed and the current understandings of the underlying mechanisms are described.
266 citations
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TL;DR: An overview on recent development of spacecraft attitude FTC system design is presented, and a brief review of some open problems in the general area of spacecraft attitudes control design subject to components faults/failures is concluded.
Abstract: Motivated by several accidents, attitude control of a spacecraft subject to faults/failures has gained considerable attention in a wider range of aerospace engineering and academic communities. This paper is concerned with industrial practices and theoretical approaches for fault tolerant control (FTC) and fault detection and diagnosis (FDD) in spacecraft attitude control system. An overview on recent development of spacecraft attitude FTC system design is presented. The basis of a FTC system is introduced. The existing engineering FTC techniques and theoretical methodologies, including their advantages and disadvantages, are discussed. Moreover, closely associated with the reliability-relevant issues, recent progress in attitude FTC design strategies is reviewed. A brief review of some open problems in the general area of spacecraft attitude control design subject to components faults/failures is further concluded.
266 citations
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TL;DR: In this paper, absolute atomic oxygen density measurements by two-photon absorption laser-induced fluorescence (TALIF) spectroscopy in the jet effluent were performed with the aid of a comparative TALIF measurement with xenon.
Abstract: The atmospheric pressure plasma jet is a capacitively coupled radio frequency discharge (13.56 MHz) running with a high helium flux (2 m3 h−1) between concentric electrodes. Small amounts (0.5%) of admixed molecular oxygen do not disturb the homogeneous plasma discharge. The jet effluent leaving the discharge through the ring-shaped nozzle contains high concentrations of radicals at a low gas temperature—the key property for a variety of applications aiming at treatment of thermally sensitive surfaces. We report on absolute atomic oxygen density measurements by two-photon absorption laser-induced fluorescence (TALIF) spectroscopy in the jet effluent. Calibration is performed with the aid of a comparative TALIF measurement with xenon. An excitation scheme (different from the one earlier published) providing spectral matching of both the two-photon resonances and the fluorescence transitions is applied.
265 citations
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27 Aug 2017TL;DR: This paper extends Recurrent Neural Networks by considering unique characteristics of the Recommender Systems domain and shows how individual users can be represented in addition to sequences of consumed items in a new type of Gated Recurrent Unit to effectively produce personalized next item recommendations.
Abstract: Recurrent Neural Networks are powerful tools for modeling sequences. They are flexibly extensible and can incorporate various kinds of information including temporal order. These properties make them well suited for generating sequential recommendations. In this paper, we extend Recurrent Neural Networks by considering unique characteristics of the Recommender Systems domain. One of these characteristics is the explicit notion of the user recommendations are specifically generated for. We show how individual users can be represented in addition to sequences of consumed items in a new type of Gated Recurrent Unit to effectively produce personalized next item recommendations. Offline experiments on two real-world datasets indicate that our extensions clearly improve objective performance when compared to state-of-the-art recommender algorithms and to a conventional Recurrent Neural Network.
265 citations
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University of Aberdeen1, University of Basel2, University of New Mexico3, The Chinese University of Hong Kong4, University of Turin5, Trinity College, Dublin6, Queensland University of Technology7, University of Zurich8, University of Lausanne9, Autonomous University of Barcelona10, Institut Gustave Roussy11, Katholieke Universiteit Leuven12, University of Duisburg-Essen13, VU University Amsterdam14, Aarhus University15, Roswell Park Cancer Institute16, Aberdeen Royal Infirmary17, University of Antwerp18, Imperial College London19, University of Franche-Comté20
TL;DR: Recommendations for pathology and molecular biomarkers in relation to the diagnosis of lung cancer, primarily non-small-cell carcinomas are focused on.
265 citations
Authors
Showing all 16364 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rui Zhang | 151 | 2625 | 107917 |
Olli T. Raitakari | 142 | 1232 | 103487 |
Anders Hamsten | 139 | 611 | 88144 |
Robert Huber | 139 | 671 | 73557 |
Christopher T. Walsh | 139 | 819 | 74314 |
Patrick D. McGorry | 137 | 1097 | 72092 |
Stanley Nattel | 132 | 778 | 65700 |
Luis M. Liz-Marzán | 132 | 616 | 61684 |
Dirk Schadendorf | 127 | 1017 | 105777 |
William Wijns | 127 | 752 | 95517 |
Raimund Erbel | 125 | 1364 | 74179 |
Khalil Amine | 118 | 652 | 50111 |
Hans-Christoph Diener | 118 | 1025 | 91710 |
Bruce A.J. Ponder | 116 | 403 | 54796 |
Andre Franke | 115 | 682 | 55481 |