@article{BartellaKamalScholletal.2019,
  author    = {Bartella, Alexander K. and Kamal, Mohammad and Scholl, Ingrid and Schiffer, Stefan and Steegmann, Julius and Ketelsen, Dominik and H{\"o}lzle, Frank W. and Lethaus, Bernd},
  title     = {Virtual reality in preoperative imaging in maxillofacial surgery: implementation of "the next level"?},
  series = {British Journal of Oral and Maxillofacial Surgery},
  volume    = {57},
  journal   = {British Journal of Oral and Maxillofacial Surgery},
  number    = {7},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0266-4356},
  doi       = {10.1016/j.bjoms.2019.02.014},
  pages     = {644 -- 648},
  year      = {2019},
  language  = {en}
}
@article{ThomaRavi2019,
  author    = {Thoma, Andreas and Ravi, Sridhar},
  title     = {Significance of parallel computing on the performance of Digital Image Correlation algorithms in MATLAB},
  pages     = {1 -- 17},
  year      = {2019},
  abstract  = {Digital Image Correlation (DIC) is a powerful tool used to evaluate displacements and deformations in a non-intrusive manner. By comparing two images, one of the undeformed reference state of a specimen and another of the deformed target state, the relative displacement between those two states is determined. DIC is well known and often used for post-processing analysis of in-plane displacements and deformation of specimen. Increasing the analysis speed to enable real-time DIC analysis will be beneficial and extend the field of use of this technique. Here we tested several combinations of the most common DIC methods in combination with different parallelization approaches in MATLAB and evaluated their performance to determine whether real-time analysis is possible with these methods. To reflect improvements in computing technology different hardware settings were also analysed. We found that implementation problems can reduce the efficiency of a theoretically superior algorithm such that it becomes practically slower than a suboptimal algorithm. The Newton-Raphson algorithm in combination with a modified Particle Swarm algorithm in parallel image computation was found to be most effective. This is contrary to theory, suggesting that the inverse-compositional Gauss-Newton algorithm is superior. As expected, the Brute Force Search algorithm is the least effective method. We also found that the correct choice of parallelization tasks is crucial to achieve improvements in computing speed. A poorly chosen parallelisation approach with high parallel overhead leads to inferior performance. Finally, irrespective of the computing mode the correct choice of combinations of integerpixel and sub-pixel search algorithms is decisive for an efficient analysis. Using currently available hardware realtime analysis at high framerates remains an aspiration.},
  language  = {en}
}
@article{BucurLazarescuPopetal.2019,
  author    = {Bucur, Alexandru and Lazarescu, Lucian and Pop, Grigore Marian and Achimas, Gheorghe and Gebhardt, Andreas},
  title     = {Tribological performance of biodegradable lubricants under different surface roughness of tools},
  series = {Academic Journal of Manufacturing Engineering},
  volume    = {17},
  journal   = {Academic Journal of Manufacturing Engineering},
  number    = {1},
  issn      = {1583-7904},
  pages     = {172 -- 178},
  year      = {2019},
  language  = {en}
}
@article{SchwarzGebhardtSchleseretal.2019,
  author    = {Schwarz, Alexander and Gebhardt, Andreas and Schleser, Markus and Popoola, Patricia},
  title     = {New Welding Joint Geometries Manufactured by Powder Bed Fusion from 316L},
  series = {Materials Performance and Characterization 8},
  journal   = {Materials Performance and Characterization 8},
  number    = {in press},
  issn      = {2379-1365},
  doi       = {10.1520/MPC20180096},
  year      = {2019},
  language  = {en}
}
@article{IkenBronderGoretzkietal.2019,
  author    = {Iken, Heiko and Bronder, Thomas and Goretzki, Alexander and Kriesel, Jana and Ahlborn, Kristina and Gerlach, Frank and Vonau, Winfried and Zander, Willi and Schubert, J{\"u}rgen and Sch{\"o}ning, Michael Josef},
  title     = {Development of a Combined pH- and Redox-Sensitive Bi-Electrode Glass Thin-Film Sensor},
  series = {physica status solidi a : applications and materials sciences},
  volume    = {216},
  journal   = {physica status solidi a : applications and materials sciences},
  number    = {12},
  publisher = {Wiley},
  address   = {Weinheim},
  issn      = {1862-6319},
  doi       = {10.1002/pssa.201900114},
  pages     = {1 -- 8},
  year      = {2019},
  language  = {en}
}
@article{DantismRoehlenSelmeretal.2019,
  author    = {Dantism, Shahriar and R{\"o}hlen, Desiree and Selmer, Thorsten and Wagner, Torsten and Wagner, Patrick and Sch{\"o}ning, Michael Josef},
  title     = {Quantitative differential monitoring of the metabolic activity of Corynebacterium glutamicum cultures utilizing a light-addressable potentiometric sensor system},
  series = {Biosensors and Bioelectronics},
  volume    = {139},
  journal   = {Biosensors and Bioelectronics},
  publisher = {Elsevier},
  address   = {Amsterdam},
  doi       = {10.1016/j.bios.2019.111332},
  pages     = {Artikel 111332},
  year      = {2019},
  language  = {en}
}
@article{NoureddineKraffLaddetal.2019,
  author    = {Noureddine, Yacine and Kraff, Oliver and Ladd, Mark E. and Wrede, Karsten and Chen, Bixia and Quick, Harald H. and Schaefers, Georg and Bitz, Andreas},
  title     = {Radiofrequency induced heating around aneurysm clips using a generic birdcage head coil at 7 Tesla under consideration of the minimum distance to decouple multiple aneurysm clips},
  series = {Magnetic Resonance in Medicine},
  journal   = {Magnetic Resonance in Medicine},
  number    = {Early view},
  publisher = {Wiley},
  address   = {Weinheim},
  issn      = {1522-2594},
  doi       = {10.1002/mrm.27835},
  pages     = {1 -- 17},
  year      = {2019},
  language  = {en}
}
@article{ValeroChansonBung2019,
  author    = {Valero, Daniel and Chanson, Hubert and Bung, Daniel Bernhard},
  title     = {Robust estimators for turbulence properties assessment},
  pages     = {1 -- 24},
  year      = {2019},
  language  = {en}
}
@article{GerhardsSanderZivkovicetal.2020,
  author    = {Gerhards, Michael and Sander, Volker and Zivkovic, Miroslav and Belloum, Adam and Bubak, Marian},
  title     = {New approach to allocation planning of many-task workflows on clouds},
  series = {Concurrency and Computation: Practice and Experience},
  volume    = {32},
  journal   = {Concurrency and Computation: Practice and Experience},
  number    = {2 Article e5404},
  publisher = {Wiley},
  address   = {Chichester},
  issn      = {1532-0634},
  doi       = {10.1002/cpe.5404},
  pages     = {1 -- 16},
  year      = {2020},
  abstract  = {Experience has shown that a priori created static resource allocation plans are vulnerable to runtime deviations and hence often become uneconomic or highly exceed a predefined soft deadline. The assumption of constant task execution times during allocation planning is even more unlikely in a cloud environment where virtualized resources vary in performance. Revising the initially created resource allocation plan at runtime allows the scheduler to react on deviations between planning and execution. Such an adaptive rescheduling of a many-task application workflow is only feasible, when the planning time can be handled efficiently at runtime. In this paper, we present the static low-complexity resource allocation planning algorithm (LCP) applicable to efficiently schedule many-task scientific application workflows on cloud resources of different capabilities. The benefits of the presented algorithm are benchmarked against alternative approaches. The benchmark results show that LCP is not only able to compete against higher complexity algorithms in terms of planned costs and planned makespan but also outperforms them significantly by magnitudes of 2 to 160 in terms of required planning time. Hence, LCP is superior in terms of practical usability where low planning time is essential such as in our targeted online rescheduling scenario.},
  language  = {en}
}
@article{KodomskoiKotliarSchroederetal.2019,
  author    = {Kodomskoi, Leonid and Kotliar, Konstantin and Schr{\"o}der, Andreas and Weiss, Michael and Hille, Konrad},
  title     = {Suture-Probe Canaloplasty as an Alternative to Canaloplasty using the iTrack™ Microcatheter},
  series = {Journal of Glaucoma},
  journal   = {Journal of Glaucoma},
  number    = {Epub ahead of print},
  publisher = {Lippincott Williams \& Wilkins},
  address   = {Philadelphia},
  issn      = {1057-0829},
  doi       = {10.1097/IJG.0000000000001321},
  year      = {2019},
  language  = {en}
}