@article{EveraersKarimiVarzanehFlecketal.2020,
  author    = {Everaers, Ralf and Karimi-Varzaneh, Hossein Ali and Fleck, Franz and Hojdis, Nils and Svaneborg, Carsten},
  title     = {Kremer-Grest Models for Commodity Polymer Melts: Linking Theory, Experiment, and Simulation at the Kuhn Scale},
  series = {Macromolecules},
  volume    = {53},
  journal   = {Macromolecules},
  number    = {6},
  publisher = {ACS Publications},
  address   = {Washington, DC},
  issn      = {1520-5835},
  doi       = {10.1021/acs.macromol.9b02428},
  pages     = {1901 -- 1916},
  year      = {2020},
  abstract  = {The Kremer-Grest (KG) polymer model is a standard model for studying generic polymer properties in molecular dynamics simulations. It owes its popularity to its simplicity and computational efficiency, rather than its ability to represent specific polymers species and conditions. Here we show that by tuning the chain stiffness it is possible to adapt the KG model to model melts of real polymers. In particular, we provide mapping relations from KG to SI units for a wide range of commodity polymers. The connection between the experimental and the KG melts is made at the Kuhn scale, i.e., at the crossover from the chemistry-specific small scale to the universal large scale behavior. We expect Kuhn scale-mapped KG models to faithfully represent universal properties dominated by the large scale conformational statistics and dynamics of flexible polymers. In particular, we observe very good agreement between entanglement moduli of our KG models and the experimental moduli of the target polymers.},
  language  = {en}
}
@article{SvaneborgKarimiVarzanehHojdisetal.2018,
  author    = {Svaneborg, Carsten and Karimi-Varzaneh, Hossein Ali and Hojdis, Nils and Fleck, Franz and Everaers, Ralf},
  title     = {Kremer-Grest Models for Universal Properties of Specific Common Polymer Species},
  series = {Soft Condensed Matter},
  journal   = {Soft Condensed Matter},
  number    = {1606.05008},
  year      = {2018},
  abstract  = {The Kremer-Grest (KG) bead-spring model is a near standard in Molecular Dynamic simulations of generic polymer properties. It owes its popularity to its computational efficiency, rather than its ability to represent specific polymer species and conditions. Here we investigate how to adapt the model to match the universal properties of a wide range of chemical polymers species. For this purpose we vary a single parameter originally introduced by Faller and M{\"u}ller-Plathe, the chain stiffness. Examples include polystyrene, polyethylene, polypropylene, cis-polyisoprene, polydimethylsiloxane, polyethyleneoxide and styrene-butadiene rubber. We do this by matching the number of Kuhn segments per chain and the number of Kuhn segments per cubic Kuhn volume for the polymer species and for the Kremer-Grest model. We also derive mapping relations for converting KG model units back to physical units, in particular we obtain the entanglement time for the KG model as function of stiffness allowing for a time mapping. To test these relations, we generate large equilibrated well entangled polymer melts, and measure the entanglement moduli using a static primitive-path analysis of the entangled melt structure as well as by simulations of step-strain deformation of the model melts. The obtained moduli for our model polymer melts are in good agreement with the experimentally expected moduli.},
  language  = {en}
}
@article{HoylerCorminboeufJolie1997,
  author    = {Hoyler, Friedrich and Corminboeuf, F. and Jolie, J.},
  title     = {Kp=4+ double-gvibration in 164Dy / F. Corminboeuf ; J. Jolie ... F. Hoyler ...},
  series = {Physical review / C. 56 (1997), H. 3},
  journal   = {Physical review / C. 56 (1997), H. 3},
  isbn      = {0556-2813},
  pages     = {R1201},
  year      = {1997},
  language  = {en}
}
@article{GoedhuysJanzMohnen2014,
  author    = {Goedhuys, Micheline and Janz, Norbert and Mohnen, Pierre},
  title     = {Knowledge-based productivity in "low-tech" industries: evidence from firms in developing countries},
  series = {Industrial and corporate change},
  volume    = {23},
  journal   = {Industrial and corporate change},
  number    = {1},
  publisher = {Oxford University Press},
  address   = {Oxford},
  issn      = {1464-3650 (E-Journal); 0960-6491 (Print)},
  doi       = {10.1093/icc/dtt006},
  pages     = {1 -- 23},
  year      = {2014},
  abstract  = {Using firm-level data from five developing countries—Brazil, Ecuador, South Africa, Tanzania, and Bangladesh—and three industries—food processing, textiles, and the garments and leather products—this article examines the importance of various sources of knowledge for explaining productivity and formally tests whether sector- or country-specific characteristics dominate these relationships. Knowledge sources driving productivity appear mainly sector specific. Also differences in the level of development affect the effectiveness of knowledge sources. In the food processing sector, firms with higher educated managers are more productive, and in least-developed countries, additionally those with technology licenses and imported machinery and equipment. In the capital-intensive textiles sector, productivity is higher in firms that conduct R\&D. In the garments and leather products sector, higher education of the managers, licensing, and R\&D raise productivity.},
  language  = {en}
}
@article{PietschmannRuhtz2001,
  author    = {Pietschmann, Bernd P. and Ruhtz, Vanessa},
  title     = {Knowledge Management},
  series = {Personal : Zeitschrift f{\"u}r Human Resource Management. 53 (2001), H. 5},
  journal   = {Personal : Zeitschrift f{\"u}r Human Resource Management. 53 (2001), H. 5},
  isbn      = {0031-5605},
  pages     = {242 -- 249},
  year      = {2001},
  language  = {en}
}
@article{EngelmannSimsekShalabyetal.2024,
  author    = {Engelmann, Ulrich M. and Simsek, Beril and Shalaby, Ahmed and Krause, Hans-Joachim},
  title     = {Key contributors to signal generation in frequency mixing magnetic detection (FMMD): an in silico study},
  series = {Sensors},
  volume    = {24},
  journal   = {Sensors},
  number    = {6},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1424-8220},
  doi       = {10.3390/s24061945},
  pages     = {Artikel 1945},
  year      = {2024},
  abstract  = {Frequency mixing magnetic detection (FMMD) is a sensitive and selective technique to detect magnetic nanoparticles (MNPs) serving as probes for binding biological targets. Its principle relies on the nonlinear magnetic relaxation dynamics of a particle ensemble interacting with a dual frequency external magnetic field. In order to increase its sensitivity, lower its limit of detection and overall improve its applicability in biosensing, matching combinations of external field parameters and internal particle properties are being sought to advance FMMD. In this study, we systematically probe the aforementioned interaction with coupled N{\´e}el-Brownian dynamic relaxation simulations to examine how key MNP properties as well as applied field parameters affect the frequency mixing signal generation. It is found that the core size of MNPs dominates their nonlinear magnetic response, with the strongest contributions from the largest particles. The drive field amplitude dominates the shape of the field-dependent response, whereas effective anisotropy and hydrodynamic size of the particles only weakly influence the signal generation in FMMD. For tailoring the MNP properties and parameters of the setup towards optimal FMMD signal generation, our findings suggest choosing large particles of core sizes dc > 25 nm nm with narrow size distributions (σ < 0.1) to minimize the required drive field amplitude. This allows potential improvements of FMMD as a stand-alone application, as well as advances in magnetic particle imaging, hyperthermia and magnetic immunoassays.},
  language  = {en}
}
@article{Hillen1980,
  author    = {Hillen, Walter},
  title     = {K0 production in e+e\&\#8722; annihilations at 30 GeV center of mass energy. TASSO Collaboration},
  series = {Physics Letters B. 94 (1980), H. 1},
  journal   = {Physics Letters B. 94 (1980), H. 1},
  isbn      = {0370-2693},
  pages     = {91 -- 95},
  year      = {1980},
  language  = {en}
}
@article{MourzinaMaiPoghossianetal.2003,
  author    = {Mourzina, Y. and Mai, T. and Poghossian, Arshak and Ermolenko, Y. and Yoshinobu, T. and Vlasov, Y. and Iwasaki, H. and Sch{\"o}ning, Michael Josef},
  title     = {K+-selective field-effect sensors as transducers for bioelectronic applications},
  series = {Electrochimica Acta. 48 (2003), H. 20-22},
  journal   = {Electrochimica Acta. 48 (2003), H. 20-22},
  isbn      = {0013-4686},
  pages     = {3333 -- 3339},
  year      = {2003},
  language  = {en}
}
@article{KemptFreyerNagel2022,
  author    = {Kempt, Hendrik and Freyer, Nils and Nagel, Saskia K.},
  title     = {Justice and the normative standards of explainability in healthcare},
  series = {Philosophy \& Technology},
  volume    = {35},
  journal   = {Philosophy \& Technology},
  number    = {Article number: 100},
  publisher = {Springer Nature},
  address   = {Berlin},
  doi       = {10.1007/s13347-022-00598-0},
  pages     = {1 -- 19},
  year      = {2022},
  abstract  = {Providing healthcare services frequently involves cognitively demanding tasks, including diagnoses and analyses as well as complex decisions about treatments and therapy. From a global perspective, ethically significant inequalities exist between regions where the expert knowledge required for these tasks is scarce or abundant. One possible strategy to diminish such inequalities and increase healthcare opportunities in expert-scarce settings is to provide healthcare solutions involving digital technologies that do not necessarily require the presence of a human expert, e.g., in the form of artificial intelligent decision-support systems (AI-DSS). Such algorithmic decision-making, however, is mostly developed in resource- and expert-abundant settings to support healthcare experts in their work. As a practical consequence, the normative standards and requirements for such algorithmic decision-making in healthcare require the technology to be at least as explainable as the decisions made by the experts themselves. The goal of providing healthcare in settings where resources and expertise are scarce might come with a normative pull to lower the normative standards of using digital technologies in order to provide at least some healthcare in the first place. We scrutinize this tendency to lower standards in particular settings from a normative perspective, distinguish between different types of absolute and relative, local and global standards of explainability, and conclude by defending an ambitious and practicable standard of local relative explainability.},
  language  = {en}
}
@article{Gligorevic2008,
  author    = {Gligorevic, Snjezana},
  title     = {Joint channel estimation and equalisation of fast time-varying frequency-selective channels},
  series = {European transactions on telecommunications},
  volume    = {Vol. 19},
  journal   = {European transactions on telecommunications},
  number    = {Iss. 1},
  issn      = {1541-8251; 2161-3915; 1120-3862; 1124-318X},
  pages     = {1 -- 13},
  year      = {2008},
  language  = {en}
}