@article{AyalaHarrisKleefeldetal.2023,
  author    = {Ayala, Rafael Ceja and Harris, Isaac and Kleefeld, Andreas and Pallikarakis, Nikolaos},
  title     = {Analysis of the transmission eigenvalue problem with two conductivity parameters},
  series = {Applicable Analysis},
  journal   = {Applicable Analysis},
  publisher = {Taylor \& Francis},
  issn      = {0003-6811},
  doi       = {10.1080/00036811.2023.2181167},
  pages     = {37 Seiten},
  year      = {2023},
  abstract  = {In this paper, we provide an analytical study of the transmission eigenvalue problem with two conductivity parameters. We will assume that the underlying physical model is given by the scattering of a plane wave for an isotropic scatterer. In previous studies, this eigenvalue problem was analyzed with one conductive boundary parameter whereas we will consider the case of two parameters. We prove the existence and discreteness of the transmission eigenvalues as well as study the dependence on the physical parameters. We are able to prove monotonicity of the first transmission eigenvalue with respect to the parameters and consider the limiting procedure as the second boundary parameter vanishes. Lastly, we provide extensive numerical experiments to validate the theoretical work.},
  language  = {en}
}
@article{Gaigall2023,
  author    = {Gaigall, Daniel},
  title     = {Allocating and forecasting changes in risk},
  series = {Journal of risk},
  volume    = {25},
  journal   = {Journal of risk},
  number    = {3},
  editor    = {AitSahlia, Farid},
  publisher = {Infopro Digital Risk},
  address   = {London},
  issn      = {1755-2842},
  doi       = {10.21314/JOR.2022.048},
  pages     = {1 -- 24},
  year      = {2023},
  abstract  = {We consider time-dependent portfolios and discuss the allocation of changes in the risk of a portfolio to changes in the portfolio's components. For this purpose we adopt established allocation principles. We also use our approach to obtain forecasts for changes in the risk of the portfolio's components. To put the approach into practice we present an implementation based on the output of a simulation. Allocation is illustrated with an example portfolio in the context of Solvency II. The quality of the forecasts is investigated with an empirical study.},
  language  = {en}
}
@article{SildatkeKarwanniKraftetal.2023,
  author    = {Sildatke, Michael and Karwanni, Hendrik and Kraft, Bodo and Z{\"u}ndorf, Albert},
  title     = {A distributed microservice architecture pattern for the automated generation of information extraction pipelines},
  series = {SN Computer Science},
  journal   = {SN Computer Science},
  number    = {4, Article number: 833},
  publisher = {Springer Singapore},
  address   = {Singapore},
  issn      = {2661-8907},
  doi       = {10.1007/s42979-023-02256-4},
  pages     = {19 Seiten},
  year      = {2023},
  abstract  = {Companies often build their businesses based on product information and therefore try to automate the process of information extraction (IE). Since the information source is usually heterogeneous and non-standardized, classic extract, transform, load techniques reach their limits. Hence, companies must implement the newest findings from research to tackle the challenges of process automation. They require a flexible and robust system that is extendable and ensures the optimal processing of the different document types. This paper provides a distributed microservice architecture pattern that enables the automated generation of IE pipelines. Since their optimal design is individual for each input document, the system ensures the ad-hoc generation of pipelines depending on specific document characteristics at runtime. Furthermore, it introduces the automated quality determination of each available pipeline and controls the integration of new microservices based on their impact on the business value. The introduced system enables fast prototyping of the newest approaches from research and supports companies in automating their IE processes. Based on the automated quality determination, it ensures that the generated pipelines always meet defined business requirements when they come into productive use.},
  language  = {en}
}