@article{HueningDeMatteis2020,
  author    = {H{\"u}ning, Felix and De Matteis, Stefan},
  title     = {Entwicklung eines taktilen HMI f{\"u}r sehbehinderte und blinde Nutzerinnen und Nutzer},
  series = {Blind - sehbehindert},
  volume    = {140},
  journal   = {Blind - sehbehindert},
  number    = {2},
  publisher = {Edition Bentheim},
  address   = {W{\"u}rzburg},
  issn      = {0176-7836},
  pages     = {9 -- 19},
  year      = {2020},
  language  = {de}
}
@article{RichterWichernGroempingetal.2020,
  author    = {Richter, L. and Wichern, M. and Gr{\"o}mping, Markus and Robecke, U. and Haberkamp, J.},
  title     = {Ammonium recovery from process water of digested sludge dewatering by membrane contactors},
  series = {Water Practice and Technology},
  volume    = {15},
  journal   = {Water Practice and Technology},
  number    = {1},
  publisher = {IWA Publishing},
  address   = {London},
  issn      = {1751-231X},
  doi       = {10.2166/wpt.2020.002},
  pages     = {84 -- 91},
  year      = {2020},
  abstract  = {Membrane contactors are a promising alternative for nitrogen removal and recovery from process water compared to other physicochemical and biological sidestream treatment processes. M{\"u}nster wastewater treatment plant (WWTP) is the first municipal WWTP in Germany operating a full-scale membrane contactor system to improve the nitrogen elimination and recovery efficiency. Factors influencing the operation and membrane performance are investigated in an accompanying research project. Additional operational aspects of the applied membrane modules are investigated in detail using a bench-scale membrane contactor. First results of the full-scale application demonstrate a high nitrogen removal efficiency of >95\%.},
  language  = {de}
}
@article{MalikAbdievaUalievaetal.2019,
  author    = {Malik, A. M. and Abdieva, G. Zh. and Ualieva, P. S. and Zhubanova, A. A. and Temiz Artmann, Ayseg{\"u}l},
  title     = {CКPИНИНГ МИКPOOPГAНИЗМOВ-ДECТPУКТOPOВ XЛOРOPГAНИЧECКИX ЗAГPЯЗНИТEЛEЙ},
  series = {Eurasian Journal of Ecology},
  volume    = {61},
  journal   = {Eurasian Journal of Ecology},
  number    = {4},
  issn      = {2617-7358},
  pages     = {61 -- 71},
  year      = {2019},
  language  = {ru}
}
@article{SchmidtTurgutLeetal.2020,
  author    = {Schmidt, Aaron C. and Turgut, Hatice and Le, Dao and Beloqui, Ana and Delaittre, Guillaume},
  title     = {Making the best of it: nitroxide-mediated polymerization of methacrylates via the copolymerization approach with functional styrenics},
  series = {Polymer Chemistry},
  volume    = {11},
  journal   = {Polymer Chemistry},
  number    = {2},
  publisher = {Royal Society of Chemistry (RSC)},
  address   = {Cambridge},
  doi       = {10.1039/C9PY01458F},
  pages     = {593 -- 604},
  year      = {2020},
  abstract  = {The SG1-mediated solution polymerization of methyl methacrylate (MMA) and oligo(ethylene glycol) methacrylate (OEGMA, Mₙ = 300 g mol⁻¹) in the presence of a small amount of functional/reactive styrenic comonomer is investigated. Moieties such as pentafluorophenyl ester, triphenylphosphine, azide, pentafluorophenyl, halide, and pyridine are considered. A comonomer fraction as low as 5 mol\% typically results in a controlled/living behavior, at least up to 50\% conversion. Chain extensions with styrene for both systems were successfully performed. Variation of physical properties such as refractive index (for MMA) and phase transition temperature (for OEGMA) were evaluated by comparing to 100\% pure homopolymers. The introduction of an activated ester styrene derivative in the polymerization of OEGMA allows for the synthesis of reactive and hydrophilic polymer brushes with defined thickness. Finally, using the example of pentafluorostyrene as controlling comonomer, it is demonstrated that functional PMMA-b-PS are able to maintain a phase separation ability, as evidenced by the formation of nanostructured thin films.},
  language  = {en}
}
@article{KrollLudwigs2019,
  author    = {Kroll-Ludwigs, Kathrin},
  title     = {Vernachl{\"a}ssigung des unionsrechtlichen Anerkennungsprinzips durch den BGH},
  series = {NJW Neue Juristische Wochenschrift},
  journal   = {NJW Neue Juristische Wochenschrift},
  number    = {32},
  publisher = {Beck},
  address   = {M{\"u}nchen},
  issn      = {0341-1915},
  pages     = {2277 -- 2279},
  year      = {2019},
  language  = {de}
}
@article{RoethSlabuKessleretal.2019,
  author    = {Roeth, A.A. and Slabu, I. and Kessler, A. and Engelmann, Ulrich M.},
  title     = {Local treatment of pancreatic cancer with magnetic nanoparticles},
  series = {HPB},
  volume    = {21},
  journal   = {HPB},
  number    = {Supplement 3},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1365-182X},
  doi       = {10.1016/j.hpb.2019.10.959},
  pages     = {S868 -- S869},
  year      = {2019},
  language  = {en}
}
@article{WilbringEnningPfaffetal.2020,
  author    = {Wilbring, Daniela and Enning, Manfred and Pfaff, Raphael and Schmidt, Bernd},
  title     = {Neue Perspektiven f{\"u}r die Bahn in der Produktions- und Distributionslogistik durch Prozessautomation},
  series = {ETR - Eisenbahntechnische Rundschau},
  volume    = {69},
  journal   = {ETR - Eisenbahntechnische Rundschau},
  number    = {3},
  issn      = {0013-2845},
  pages     = {15 -- 19},
  year      = {2020},
  language  = {de}
}
@inproceedings{DinghoferHartung2020,
  author    = {Dinghofer, Kai and Hartung, Frank},
  title     = {Analysis of Criteria for the Selection of Machine Learning Frameworks},
  series = {2020 International Conference on Computing, Networking and Communications (ICNC)},
  booktitle = {2020 International Conference on Computing, Networking and Communications (ICNC)},
  publisher = {IEEE},
  address   = {New York, NY},
  doi       = {10.1109/ICNC47757.2020.9049650},
  pages     = {373 -- 377},
  year      = {2020},
  abstract  = {With the many achievements of Machine Learning in the past years, it is likely that the sub-area of Deep Learning will continue to deliver major technological breakthroughs [1]. In order to achieve best results, it is important to know the various different Deep Learning frameworks and their respective properties. This paper provides a comparative overview of some of the most popular frameworks. First, the comparison methods and criteria are introduced and described with a focus on computer vision applications: Features and Uses are examined by evaluating papers and articles, Adoption and Popularity is determined by analyzing a data science study. Then, the frameworks TensorFlow, Keras, PyTorch and Caffe are compared based on the previously described criteria to highlight properties and differences. Advantages and disadvantages are compared, enabling researchers and developers to choose a framework according to their specific needs.},
  language  = {en}
}
@article{WeldenSchoeningWagneretal.2020,
  author    = {Welden, Rene and Sch{\"o}ning, Michael Josef and Wagner, Patrick H. and Wagner, Torsten},
  title     = {Light-Addressable Electrodes for Dynamic and Flexible Addressing of Biological Systems and Electrochemical Reactions},
  series = {Sensors},
  volume    = {20},
  journal   = {Sensors},
  number    = {6},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1424-8220},
  doi       = {10.3390/s20061680},
  pages     = {Artikel 1680},
  year      = {2020},
  abstract  = {In this review article, we are going to present an overview on possible applications of light-addressable electrodes (LAE) as actuator/manipulation devices besides classical electrode structures. For LAEs, the electrode material consists of a semiconductor. Illumination with a light source with the appropiate wavelength leads to the generation of electron-hole pairs which can be utilized for further photoelectrochemical reaction. Due to recent progress in light-projection technologies, highly dynamic and flexible illumination patterns can be generated, opening new possibilities for light-addressable electrodes. A short introduction on semiconductor-electrolyte interfaces with light stimulation is given together with electrode-design approaches. Towards applications, the stimulation of cells with different electrode materials and fabrication designs is explained, followed by analyte-manipulation strategies and spatially resolved photoelectrochemical deposition of different material types.},
  language  = {en}
}
@article{KerresGredigkHoffmannJatheetal.2020,
  author    = {Kerres, Karsten and Gredigk-Hoffmann, Sylvia and Jathe, R{\"u}diger and Orlik, Stefan and Sariyildiz, Mustafa and Schmidt, Torsten and Sympher, Klaus-Jochen and Uhlenbroch, Adrian},
  title     = {Future approaches for sewer system condition assessment},
  series = {Water Practice \& Technology},
  journal   = {Water Practice \& Technology},
  number    = {15 (2)},
  publisher = {IWA Publishing},
  address   = {London},
  issn      = {1751-231X},
  doi       = {10.2166/wpt.2020.027},
  pages     = {386 -- 393},
  year      = {2020},
  abstract  = {Different analytical approaches exist to describe the structural substance or wear reserve of sewer systems. The aim is to convert engineering assessments of often complex defect patterns into computational algorithms and determine a substance class for a sewer section or manhole. This analytically determined information is essential for strategic rehabilitation planning processes up to network level, as it corresponds to the most appropriate rehabilitation type and can thus provide decision-making support. Current calculation methods differ clearly from each other in parts, so that substance classes determined by the different approaches are only partially comparable with each other. The objective of the German R\&D cooperation project 'SubKanS' is to develop a methodology for classifying the specific defect patterns resulting from the interaction of all the individual defects, and their severities and locations. The methodology takes into account the structural substance of sewer sections and manholes, based on real data and theoretical considerations analogous to the condition classification of individual defects. The result is a catalogue of defect patterns and characteristics, as well as associated structural substance classifications of sewer systems (substance classes). The methodology for sewer system substance classification is developed so that the classification of individual defects can be transferred into a substance class of the sewer section or manhole, eventually taking into account further information (e.g. pipe material, nominal diameter, etc.). The result is a validated methodology for automated sewer system substance classification.},
  language  = {en}
}