@article{ValeroBung2018,
  author    = {Valero, Daniel and Bung, Daniel Bernhard},
  title     = {Vectrino profiler spatial filtering for shear flows based on the mean velocity gradient equation},
  series = {Journal of Hydraulic Engineering},
  volume    = {144},
  journal   = {Journal of Hydraulic Engineering},
  number    = {7},
  publisher = {ASCE},
  address   = {Reston, Va.},
  issn      = {0733-9429},
  doi       = {10.1061/(ASCE)HY.1943-7900.0001485},
  year      = {2018},
  abstract  = {A new methodology is proposed to spatially filter acoustic Doppler velocimetry data from a Vectrino profiler based on the differential mean velocity equation. Lower and upper bounds are formulated in terms of physically based flow constraints. Practical implementation is discussed, and its application is tested against data gathered from an open-channel flow over a stepped macroroughness surface. The method has proven to detect outliers occurring all over the distance range sampled by the Vectrino profiler and has shown to remain applicable out of the region of validity of the velocity gradient equation. Finally, a statistical analysis suggests that physically obtained bounds are asymptotically representative.},
  language  = {en}
}
@article{SchifferFerrein2018,
  author    = {Schiffer, Stefan and Ferrein, Alexander},
  title     = {ERIKA—Early Robotics Introduction at Kindergarten Age},
  series = {Multimodal Technologies Interact},
  volume    = {2},
  journal   = {Multimodal Technologies Interact},
  number    = {4},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2414-4088},
  doi       = {10.3390/mti2040064},
  pages     = {15},
  year      = {2018},
  abstract  = {In this work, we report on our attempt to design and implement an early introduction to basic robotics principles for children at kindergarten age. One of the main challenges of this effort is to explain complex robotics contents in a way that pre-school children could follow the basic principles and ideas using examples from their world of experience. What sets apart our effort from other work is that part of the lecturing is actually done by a robot itself and that a quiz at the end of the lesson is done using robots as well. The humanoid robot Pepper from Softbank, which is a great platform for human-robot interaction experiments, was used to present a lecture on robotics by reading out the contents to the children making use of its speech synthesis capability. A quiz in a Runaround-game-show style after the lecture activated the children to recap the contents they acquired about how mobile robots work in principle. In this quiz, two LEGO Mindstorm EV3 robots were used to implement a strongly interactive scenario. Besides the thrill of being exposed to a mobile robot that would also react to the children, they were very excited and at the same time very concentrated. We got very positive feedback from the children as well as from their educators. To the best of our knowledge, this is one of only few attempts to use a robot like Pepper not as a tele-teaching tool, but as the teacher itself in order to engage pre-school children with complex robotics contents.},
  language  = {en}
}
@article{SchwabedalSippelBrandtetal.2018,
  author    = {Schwabedal, Justus T. C. and Sippel, Daniel and Brandt, Moritz D. and Bialonski, Stephan},
  title     = {Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning},
  doi       = {10.48550/arXiv.1809.08443},
  year      = {2018},
  abstract  = {Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle.},
  language  = {en}
}
@article{Golland2018,
  author    = {Golland, Alexander},
  title     = {Das Kopplungsverbot in der Datenschutz-Grundverordnung Anwendungsbereich, {\"o}konomische Auswirkungen auf Web 2.0-Dienste und L{\"o}sungsvorschlag},
  series = {MMR Multimedia und Recht},
  volume    = {21},
  journal   = {MMR Multimedia und Recht},
  number    = {3},
  publisher = {Beck},
  address   = {M{\"u}nchen},
  isbn      = {1434-596X},
  pages     = {130 -- 135},
  year      = {2018},
  abstract  = {Das Kopplungsverbot fristete - obwohl in rechtswissenschaftlicher Literatur seit jeher diskutiert - unter der Geltung des BDSG ein Schattendasein. Mit der Datenschutz-Grundverordnung (DS-GVO) ist eine {\"A}nderung absehbar: Der neue Art. EWG_DSGVO Artikel 7 Abs. EWG_DSGVO Artikel 7 Absatz 4 DS-GVO stellt klar, dass die Leistungserbringung nicht von der Einwilligungserteilung abh{\"a}ngig gemacht werden darf. Doch dieses scheinbare Novum des Datenschutzrechts wirft zahlreiche Fragen auf. W{\"a}hrend vor allem Vertreter der unternehmerischen Praxis die Anwendung des Kopplungsverbots in zahlreichen Konstellationen ablehnen, beschw{\"o}ren dessen Apologeten das Ende s{\"a}mtlicher „datenfinanzierten" Dienste herauf. Der vorliegende Beitrag gibt Einblick in die Regelungstiefe einer Norm, die das Web 2.0 revolutionieren k{\"o}nnte, und schl{\"a}gt eine L{\"o}sung vor, die dem Schutz der Privatsph{\"a}re des Betroffenen und den wirtschaftlichen Interessen von Diensteanbietern gleichermaßen gerecht wird.},
  language  = {de}
}
@article{KoenigWolf2018,
  author    = {K{\"o}nig, Johannes Alexander and Wolf, Martin R.},
  title     = {GHOST: An Evaluated Competence Developing Game for Cybersecurity Awareness Training},
  series = {International Journal on Advances in Security},
  volume    = {11},
  journal   = {International Journal on Advances in Security},
  number    = {3 \& 4},
  publisher = {IARIA Journals},
  issn      = {1942-2636},
  pages     = {274 -- 287},
  year      = {2018},
  abstract  = {To train end users how to interact with digital systems is indispensable to ensure a strong computer security. 'Competence Developing Game'-based approaches are particularly suitable for this purpose because of their motivation-and simulation-aspects. In this paper the Competence Developing Game 'GHOST' for cybersecurity awareness trainings and its underlying patterns are described. Accordingly, requirements for an 'Competence Developing Game' based training are discussed. Based on these requirements it is shown how a game can fulfill these requirements. A supplementary game interaction design and a corresponding evaluation study is shown. The combination of training requirements and interaction design is used to create a 'Competence Developing Game'-based training concept. A part of these concept is implemented into a playable prototype that serves around one hour of play respectively training time. This prototype is used to perform an evaluation of the game and training aspects of the awareness training. Thereby, the quality of the game aspect and the effectiveness of the training aspect are shown.},
  language  = {en}
}
@article{MolinnusHardtSiegertetal.2018,
  author    = {Molinnus, Denise and Hardt, Gabriel and Siegert, Petra and Willenberg, Holger S. and Poghossian, Arshak and Keusgen, Michael and Sch{\"o}ning, Michael Josef},
  title     = {Detection of Adrenaline in Blood Plasma as Biomarker for Adrenal Venous Sampling},
  series = {Electroanalysis},
  volume    = {30},
  journal   = {Electroanalysis},
  number    = {5},
  publisher = {Wiley-VCH},
  address   = {Weinheim},
  issn      = {1521-4109},
  doi       = {10.1002/elan.201800026},
  pages     = {937 -- 942},
  year      = {2018},
  abstract  = {An amperometric bi-enzyme biosensor based on substrate recycling principle for the amplification of the sensor signal has been developed for the detection of adrenaline in blood. Adrenaline can be used as biomarker verifying successful adrenal venous sampling procedure. The adrenaline biosensor has been realized via modification of a galvanic oxygen sensor with a bi-enzyme membrane combining a genetically modified laccase and a pyrroloquinoline quinone-dependent glucose dehydrogenase. The measurement conditions such as pH value and temperature were optimized to enhance the sensor performance. A high sensitivity and a low detection limit of about 0.5-1 nM adrenaline have been achieved in phosphate buffer at pH 7.4, relevant for measurements in blood samples. The sensitivity of the biosensor to other catecholamines such as noradrenaline, dopamine and dobutamine has been studied. Finally, the sensor has been successfully applied for the detection of adrenaline in human blood plasma.},
  language  = {en}
}
@article{Golland2018,
  author    = {Golland, Alexander},
  title     = {Gemeinsame Verantwortlichkeit in mehrstufigen Verarbeitungsszenarien},
  volume    = {21},
  number    = {7-8},
  publisher = {dfv Mediengruppe},
  address   = {Frankfurt a.M.},
  issn      = {1434-6354},
  pages     = {433 -- 438},
  year      = {2018},
  abstract  = {Die Rechtsfigur der gemeinsamen Verantwortlichkeit besch{\"a}ftigt die datenschutzrechtliche Literatur seit Langem. Die Bestimmung der Verantwortlichkeit bei arbeitsteiligen Verarbeitungsverfahren, welche vor allem bei heutigen Plattformdiensten {\"u}blich sind, ist komplex: Stets sind mehrere Akteure beteiligt und in der Regel werden durch die Handlung eines Beteiligten mehrere Verarbeitungsschritte ausgel{\"o}st. Nun hat sich der EuGH in einem in mehrfacher Hinsicht bemerkenswerten Urteil ge{\"a}ußert.},
  language  = {de}
}
@article{PoghossianJablonskiKochetal.2018,
  author    = {Poghossian, Arshak and Jablonski, Melanie and Koch, Claudia and Bronder, Thomas and Rolka, David and Wege, Christina and Sch{\"o}ning, Michael Josef},
  title     = {Field-effect biosensor using virus particles as scaffolds for enzyme immobilization},
  series = {Biosensors and Bioelectronics},
  volume    = {110},
  journal   = {Biosensors and Bioelectronics},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0956-5663},
  doi       = {10.1016/j.bios.2018.03.036},
  pages     = {168 -- 174},
  year      = {2018},
  abstract  = {A field-effect biosensor employing tobacco mosaic virus (TMV) particles as scaffolds for enzyme immobilization is presented. Nanotubular TMV scaffolds allow a dense immobilization of precisely positioned enzymes with retained activity. To demonstrate feasibility of this new strategy, a penicillin sensor has been developed by coupling a penicillinase with virus particles as a model system. The developed field-effect penicillin biosensor consists of an Al-p-Si-SiO₂-Ta₂O₅-TMV structure and has been electrochemically characterized in buffer solutions containing different concentrations of penicillin G. In addition, the morphology of the biosensor surface with virus particles was characterized by scanning electron microscopy and atomic force microscopy methods. The sensors possessed a high penicillin sensitivity of ~ 92 mV/dec in a nearly-linear range from 0.1 mM to 10 mM, and a low detection limit of about 50 µM. The long-term stability of the penicillin biosensor was periodically tested over a time period of about one year without any significant loss of sensitivity. The biosensor has also been successfully applied for penicillin detection in bovine milk samples.},
  language  = {en}
}
@article{Golland2018,
  author    = {Golland, Alexander},
  title     = {Umsetzung der Datenschutz-Grundverordnung - Neue Herausforderungen f{\"u}r Unternehmen},
  series = {NWB Rechnungswesen - BBK},
  journal   = {NWB Rechnungswesen - BBK},
  number    = {1},
  isbn      = {0340-9848},
  pages     = {35 -- 39},
  year      = {2018},
  abstract  = {Nach einem intensiven politischen Diskurs wurde im vergangenen Jahr die Datenschutz-Grundverordnung (DSGVO) verabschiedet. Die DSGVO ersetzt zum 25.5.2018 die bislang geltende, aus dem Jahre 1995 stammende Datenschutz-Richtlinie 95/46/EG. Die Novellierung des Datenschutzrechts bringt zahlreiche neue Anforderungen mit sich. Unternehmen sind daher gezwungen, sich auf die {\"A}nderungen einzustellen, ihre datenschutzrelevanten Prozesse im Hinblick auf die neuen Anforderungen zu {\"u}berpr{\"u}fen und bis zum Mai 2018 an der DSGVO auszurichten. Der Beitrag gibt einen kurzen {\"U}berblick {\"u}ber die zentralen Aspekte der Datenschutzreform und die damit einhergehenden Herausforderungen f{\"u}r Unternehmen.},
  language  = {de}
}
@article{RabehiGarlanAchtsnichtetal.2018,
  author    = {Rabehi, Amine and Garlan, Benjamin and Achtsnicht, Stefan and Krause, Hans-Joachim and Offenh{\"a}usser, Andreas and Ngo, Kieu and Neveu, Sophie and Graff-Dubois, Stephanie and Kokabi, Hamid},
  title     = {Magnetic detection structure for Lab-on-Chip applications based on the frequency mixing technique},
  series = {Sensors},
  volume    = {18},
  journal   = {Sensors},
  number    = {6},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1424-8220},
  doi       = {10.3390/s18061747},
  pages     = {14 Seiten},
  year      = {2018},
  abstract  = {A magnetic frequency mixing technique with a set of miniaturized planar coils was investigated for use with a completely integrated Lab-on-Chip (LoC) pathogen sensing system. The system allows the detection and quantification of superparamagnetic beads. Additionally, in terms of magnetic nanoparticle characterization ability, the system can be used for immunoassays using the beads as markers. Analytical calculations and simulations for both excitation and pick-up coils are presented; the goal was to investigate the miniaturization of simple and cost-effective planar spiral coils. Following these calculations, a Printed Circuit Board (PCB) prototype was designed, manufactured, and tested for limit of detection, linear response, and validation of theoretical concepts. Using the magnetic frequency mixing technique, a limit of detection of 15 µg/mL of 20 nm core-sized nanoparticles was achieved without any shielding.},
  language  = {en}
}
@article{BhattaraiStaat2018,
  author    = {Bhattarai, Aroj and Staat, Manfred},
  title     = {Computational comparison of different textile implants to correct apical prolapse in females},
  series = {Current Directions in Biomedical Engineering},
  volume    = {4},
  journal   = {Current Directions in Biomedical Engineering},
  number    = {1},
  publisher = {De Gruyter},
  address   = {Berlin},
  doi       = {10.1515/cdbme-2018-0159},
  pages     = {661 -- 664},
  year      = {2018},
  abstract  = {Prosthetic textile implants of different shapes, sizes and polymers are used to correct the apical prolapse after hysterectomy (removal of the uterus). The selection of the implant before or during minimally invasive surgery depends on the patient's anatomical defect, intended function after reconstruction and most importantly the surgeon's preference. Weakness or damage of the supporting tissues during childbirth, menopause or previous pelvic surgeries may put females in higher risk of prolapse. Numerical simulations of reconstructed pelvic floor with weakened tissues and organ supported by textile product models: DynaMesh®-PRS soft, DynaMesh®-PRP soft and DynaMesh®-CESA from FEG Textiletechnik mbH, Germany are compared.},
  language  = {en}
}
@article{RuppSchulzeKuperjans2018,
  author    = {Rupp, Matthias and Schulze, Sven and Kuperjans, Isabel},
  title     = {Comparative life cycle analysis of conventional and hybrid heavy-duty trucks},
  series = {World electric vehicle journal},
  volume    = {9},
  journal   = {World electric vehicle journal},
  number    = {2},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2032-6653},
  doi       = {10.3390/wevj9020033},
  pages     = {Article No. 33},
  year      = {2018},
  abstract  = {Heavy-duty trucks are one of the main contributors to greenhouse gas emissions in German traffic. Drivetrain electrification is an option to reduce tailpipe emissions by increasing energy conversion efficiency. To evaluate the vehicle's environmental impacts, it is necessary to consider the entire life cycle. In addition to the daily use, it is also necessary to include the impact of production and disposal. This study presents the comparative life cycle analysis of a parallel hybrid and a conventional heavy-duty truck in long-haul operation. Assuming a uniform vehicle glider, only the differing parts of both drivetrains are taken into account to calculate the environmental burdens of the production. The use phase is modeled by a backward simulation in MATLAB/Simulink considering a characteristic driving cycle. A break-even analysis is conducted to show at what mileage the larger CO2eq emissions due to the production of the electric drivetrain are compensated. The effect of parameter variation on the break-even mileage is investigated by a sensitivity analysis. The results of this analysis show the difference in CO2eq/t km is negative, indicating that the hybrid vehicle releases 4.34 g CO2eq/t km over a lifetime fewer emissions compared to the diesel truck. The break-even analysis also emphasizes the advantages of the electrified drivetrain, compensating the larger emissions generated during production after already a distance of 15,800 km (approx. 1.5 months of operation time). The intersection coordinates, distance, and CO2eq, strongly depend on fuel, emissions for battery production and the driving profile, which lead to nearly all parameter variations showing an increase in break-even distance.},
  language  = {en}
}
@article{HorbachStaat2018,
  author    = {Horbach, Andreas and Staat, Manfred},
  title     = {Optical strain measurement for the modeling of surgical meshes and their porosity},
  series = {Current Directions in Biomedical Engineering},
  volume    = {Band 4},
  journal   = {Current Directions in Biomedical Engineering},
  number    = {1},
  publisher = {De Gruyter},
  address   = {Berlin},
  issn      = {2364-5504},
  doi       = {10.1515/cdbme-2018-0045},
  pages     = {181 -- 184},
  year      = {2018},
  abstract  = {The porosity of surgical meshes makes them flexible for large elastic deformation and establishes the healing conditions of good tissue in growth. The biomechanic modeling of orthotropic and compressible materials requires new materials models and simulstaneoaus fit of deformation in the load direction as well as trannsversely to to load. This nonlinear modeling can be achieved by an optical deformation measurement. At the same time the full field deformation measurement allows the dermination of the change of porosity with deformation. Also the socalled effective porosity, which has been defined to asses the tisssue interatcion with the mesh implants, can be determined from the global deformation of the surgical meshes.},
  language  = {en}
}