@article{EdipSesovButenwegetal.2018,
  author    = {Edip, K. and Sesov, V. and Butenweg, Christoph and Bojadjieva, J.},
  title     = {Development of coupled numerical model for simulation of multiphase soil},
  series = {Computers and Geotechnics},
  volume    = {96},
  journal   = {Computers and Geotechnics},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0266-352X},
  doi       = {10.1016/j.compgeo.2017.08.016},
  pages     = {118 -- 131},
  year      = {2018},
  abstract  = {In this paper, a coupled multiphase model considering both non-linearities of water retention curves and solid state modeling is proposed. The solid displacements and the pressures of both water and air phases are unknowns of the proposed model. The finite element method is used to solve the governing differential equations. The proposed method is demonstrated through simulation of seepage test and partially consolidation problem. Then, implementation of the model is done by using hypoplasticity for the solid phase and analyzing the fully saturated triaxial experiments. In integration of the constitutive law error controlling is improved and comparisons done accordingly. In this work, the advantages and limitations of the numerical model are discussed.},
  language  = {en}
}
@article{EngelmannBuhlDraacketal.2018,
  author    = {Engelmann, Ulrich M. and Buhl, Eva Miriam and Draack, Sebastian and Viereck, Thilo and Frank, and Schmitz-Rode, Thomas and Slabu, Ioana},
  title     = {Magnetic relaxation of agglomerated and immobilized iron oxide nanoparticles for hyperthermia and imaging applications},
  series = {IEEE Magnetic Letters},
  volume    = {9},
  journal   = {IEEE Magnetic Letters},
  number    = {Article number 8519617},
  publisher = {IEEE},
  address   = {New York, NY},
  issn      = {1949-307X},
  doi       = {10.1109/LMAG.2018.2879034},
  year      = {2018},
  abstract  = {Magnetic nanoparticles (MNPs) are used as therapeutic and diagnostic agents for local delivery of heat and image contrast enhancement in diseased tissue. Besides magnetization, the most important parameter that determines their performance for these applications is their magnetic relaxation, which can be affected when MNPs immobilize and agglomerate inside tissues. In this letter, we investigate different MNP agglomeration states for their magnetic relaxation properties under excitation in alternating fields and relate this to their heating efficiency and imaging properties. With focus on magnetic fluid hyperthermia, two different trends in MNP heating efficiency are measured: an increase by up to 23\% for agglomerated MNP in suspension and a decrease by up to 28\% for mixed states of agglomerated and immobilized MNP, which indicates that immobilization is the dominant effect. The same comparatively moderate effects are obtained for the signal amplitude in magnetic particle spectroscopy.},
  language  = {en}
}
@article{EngelmannRoethEberbecketal.2018,
  author    = {Engelmann, Ulrich M. and Roeth, Anjali A.J. and Eberbeck, Dietmar and Buhl, Eva Miriam and Neumann, Ulf Peter and Schmitz-Rode, Thomas and Slabu, Ioana},
  title     = {Combining Bulk Temperature and Nanoheating Enables Advanced Magnetic Fluid Hyperthermia Efficacy on Pancreatic Tumor Cells},
  series = {Scientific Reports},
  volume    = {8},
  journal   = {Scientific Reports},
  number    = {1},
  publisher = {Springer Nature},
  address   = {Cham},
  issn      = {2045-2322},
  doi       = {10.1038/s41598-018-31553-9},
  pages     = {Article number 13210},
  year      = {2018},
  abstract  = {Many efforts are made worldwide to establish magnetic fluid hyperthermia (MFH) as a treatment for organ-confined tumors. However, translation to clinical application hardly succeeds as it still lacks of understanding the mechanisms determining MFH cytotoxic effects. Here, we investigate the intracellular MFH efficacy with respect to different parameters and assess the intracellular cytotoxic effects in detail. For this, MiaPaCa-2 human pancreatic tumor cells and L929 murine fibroblasts were loaded with iron-oxide magnetic nanoparticles (MNP) and exposed to MFH for either 30 min or 90 min. The resulting cytotoxic effects were assessed via clonogenic assay. Our results demonstrate that cell damage depends not only on the obvious parameters bulk temperature and duration of treatment, but most importantly on cell type and thermal energy deposited per cell during MFH treatment. Tumor cell death of 95\% was achieved by depositing an intracellular total thermal energy with about 50\% margin to damage of healthy cells. This is attributed to combined intracellular nanoheating and extracellular bulk heating. Tumor cell damage of up to 86\% was observed for MFH treatment without perceptible bulk temperature rise. Effective heating decreased by up to 65\% after MNP were internalized inside cells.},
  language  = {en}
}
@article{DigelWehlitzKayseretal.2018,
  author    = {Digel, Ilya and Wehlitz, V. and Kayser, Peter and Figiel-Lange, A. and Bassam, R. and Rundstedt, F. von},
  title     = {Suspension depletion approach for exemption of infected Solanum jasminoides cells from pospiviroids},
  series = {Plant Pathology},
  volume    = {67},
  journal   = {Plant Pathology},
  number    = {2},
  publisher = {Wiley},
  address   = {Oxford},
  issn      = {1365-3059},
  doi       = {10.1111/ppa.12750},
  pages     = {358 -- 365},
  year      = {2018},
  abstract  = {Despite numerous studies, viroid elimination from infected plants remains a very challenging task. This study introduces for the first time a novel 'suspension depletion' approach for exemption of Solanum jasminoides plants from viroids. The proposed method implies initial establishment of suspension cultures of the infected plant cells. The suspended cells were then physically treated (mild thermotherapy, 33 °C), which presumably delayed the replication of the viroid. The viroid concentration in the treated biomass was monitored weekly using pospiviroid-specific PCR. After 10-12 weeks of continuous treatment, a sufficient decrease in viroid concentration was observed such that the infection became undetectable by PCR. The treated single cells then gave rise to microcolonies on a solid culture medium and the obtained viroid-negative clones were further promoted to regenerate into viroid-free plants. Three years of accumulated experimental data suggests feasibility, broad applicability, and good efficacy of the proposed approach.},
  language  = {en}
}
@book{FissabreMatcha2018,
  author    = {Fissabre, Anke and Matcha, Heike},
  title     = {KreuzPlus : zwei Kreuze und zwei M{\"o}bel f{\"u}r die Kreuzkirche in Heinsberg},
  publisher = {Fachbereich Architektur, FH Aachen, University of Applied Science},
  address   = {Aachen},
  isbn      = {978-3-9820371-0-3},
  pages     = {50 Seiten},
  year      = {2018},
  language  = {de}
}
@phdthesis{Bhattarai2018,
  author    = {Bhattarai, Aroj},
  title     = {Constitutive modeling of female pelvic floor dysfunctions and reconstructive surgeries using prosthetic mesh implants},
  isbn      = {978-3-9818074-8-6},
  doi       = {10.17185/duepublico/70340},
  pages     = {192 S.},
  year      = {2018},
  language  = {en}
}
@inproceedings{KromeSander2018,
  author    = {Krome, Cornelia and Sander, Volker},
  title     = {Time series analysis with apache spark and its applications to energy informatics},
  series = {Proceedings of the 7th DACH+ Conference on Energy Informatics},
  booktitle = {Proceedings of the 7th DACH+ Conference on Energy Informatics},
  doi       = {10.1186/s42162-018-0043-1},
  year      = {2018},
  abstract  = {In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different applications in virtual power plant environments. Other examples of use as intraday price processes, load processes of machines or electric vehicles, real time energy loads of photovoltaic systems and many more time series need to be analysed and predicted. This work gives a short introduction into the project where this study is settled. It describes the time series methods that are used in energy industry for forecasts shortly. As programming technique Apache Spark, which is a strong cluster computing technology, is utilised. Today, single time series can be predicted. The focus of this work is on developing a method to parallel forecasting, to process multiple time series simultaneously with R and Apache Spark.},
  language  = {en}
}
@inproceedings{BlankeDringVonteinetal.2018,
  author    = {Blanke, Tobias and Dring, Bernd and Vontein, Marius and Kuhnhenne, Markus},
  title     = {Climate Change Mitigation Potentials of Vertical Building Integrated Photovoltaic},
  series = {8th International Workshop on Integration of Solar Power into Power Systems : 16-17 October 2018, Stockholm, Sweden},
  booktitle = {8th International Workshop on Integration of Solar Power into Power Systems : 16-17 October 2018, Stockholm, Sweden},
  pages     = {1 -- 7},
  year      = {2018},
  language  = {en}
}
@incollection{Finkenberger2018,
  author    = {Finkenberger, Isabel Maria},
  title     = {Schwellenreiten},
  series = {Prozesse reflexiven Entwerfens : Entwerfen und Forschen in Architektur und Landschaft},
  booktitle = {Prozesse reflexiven Entwerfens : Entwerfen und Forschen in Architektur und Landschaft},
  editor    = {Buchert, Margitta},
  publisher = {JOVIS Verlag},
  address   = {Berlin},
  isbn      = {978-3-86859-558-1},
  pages     = {208 -- 226},
  year      = {2018},
  language  = {de}
}
@inproceedings{UlmerBraunWollert2018,
  author    = {Ulmer, Jessica and Braun, Sebastian and Wollert, J{\"o}rg},
  title     = {Generische IoT Adapter f{\"u}r semantische Maschinenschnittstellen},
  series = {Internet of Things - vom Sensor bis zur Cloud},
  booktitle = {Internet of Things - vom Sensor bis zur Cloud},
  pages     = {1 -- 5},
  year      = {2018},
  language  = {de}
}