@masterthesis{Heinemann2024,
  type      = {Bachelor Thesis},
  author    = {Heinemann, Katja},
  title     = {112 - Wenn Helfer Hilfe brauchen},
  publisher = {FH Aachen},
  address   = {Aachen},
  pages     = {67 Seiten},
  year      = {2024},
  abstract  = {Der Rettungsdienst ist rund um die Uhr bei medizinischen Notf{\"a}llen im Einsatz. Wie aber ist dieser organisiert? Was belastet die Mitarbeiter*innen im Berufsalltag? Und wie kann man die Rettungskr{\"a}fte unterst{\"u}tzen? „112-WENN HELFER HILFE BRAUCHEN" bietet einen sachlichen Einblick in die Welt des Rettungsdienstes und der Ersten Hilfe. Mit kurz gefassten Fakten und Illustrationen richtet sich das Projekt vor allem an Jugendliche und junge Erwachsene. Ziel ist es, mehr Verst{\"a}ndnis und Wertsch{\"a}tzung in der Gesellschaft f{\"u}r diese Berufsgruppe zu schaffen. Zus{\"a}tzlich soll es die Leser*innen ermutigen, im Ernstfall angemessen zu handeln und „Leben zu retten". Denn jeder kann in eine Notsituation geraten und auf den Rettungsdienst und Erste Hilfe angewiesen sein. Je fr{\"u}her man sich mit der Thematik besch{\"a}ftigt, desto besser ist man im Ernstfall vorbereitet.},
  language  = {de}
}
@masterthesis{Jung2024,
  type      = {Bachelor Thesis},
  author    = {Jung, Maximilian},
  title     = {Out of the Box : Cardistry Dokumentarfilm},
  publisher = {FH Aachen},
  address   = {Aachen},
  pages     = {75 Seiten},
  year      = {2024},
  abstract  = {"Out of the Box" ist ein Dokumentarfilm und bietet einen Einblick in die Welt des "Cardistry". Der Schwerpunkt liegt auf dieser Nischenkunst und -kultur der visuell ansprechenden Kartenmanipulation. Der Film beleuchtet den Beginn, die Entwicklung und die lebendige Gemeinschaft hinter dieser einzigartigen Kunstform. Dar{\"u}ber hinaus werden Abgrenzungen, Urspr{\"u}nge und {\"A}hnlichkeiten zur Kartenmagie erforscht.},
  language  = {de}
}
@article{KohlKraemerFohryetal.2024,
  author    = {Kohl, Philipp and Kr{\"a}mer, Yoka and Fohry, Claudia and Kraft, Bodo},
  title     = {Scoping review of active learning strategies and their evaluation environments for entity recognition tasks},
  series = {Deep learning theory and applications},
  journal   = {Deep learning theory and applications},
  editor    = {Fred, Ana and Hadjali, Allel and Gusikhin, Oleg and Sansone, Carlo},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-66694-0 (online ISBN)},
  doi       = {10.1007/978-3-031-66694-0_6},
  pages     = {84 -- 106},
  year      = {2024},
  abstract  = {We conducted a scoping review for active learning in the domain of natural language processing (NLP), which we summarize in accordance with the PRISMA-ScR guidelines as follows: Objective: Identify active learning strategies that were proposed for entity recognition and their evaluation environments (datasets, metrics, hardware, execution time). Design: We used Scopus and ACM as our search engines. We compared the results with two literature surveys to assess the search quality. We included peer-reviewed English publications introducing or comparing active learning strategies for entity recognition. Results: We analyzed 62 relevant papers and identified 106 active learning strategies. We grouped them into three categories: exploitation-based (60x), exploration-based (14x), and hybrid strategies (32x). We found that all studies used the F1-score as an evaluation metric. Information about hardware (6x) and execution time (13x) was only occasionally included. The 62 papers used 57 different datasets to evaluate their respective strategies. Most datasets contained newspaper articles or biomedical/medical data. Our analysis revealed that 26 out of 57 datasets are publicly accessible. Conclusion: Numerous active learning strategies have been identified, along with significant open questions that still need to be addressed. Researchers and practitioners face difficulties when making data-driven decisions about which active learning strategy to adopt. Conducting comprehensive empirical comparisons using the evaluation environment proposed in this study could help establish best practices in the domain.},
  language  = {en}
}
@incollection{ChwallekGoezlerReichert2024,
  author    = {Chwallek, Constanze and Goezler, Kaan and Reichert, Walter},
  title     = {Handling growth as a complexity driver at Faymonville},
  series = {Hidden champions case compendium: Leading global markets - case studies and texts},
  booktitle = {Hidden champions case compendium: Leading global markets - case studies and texts},
  editor    = {B{\"u}chler, Jan-Philipp and Hoon, Christina},
  publisher = {Springer Fachmedien},
  address   = {Wiesbaden},
  isbn      = {978-3-658-44300-9},
  doi       = {10.1007/978-3-658-44300-9_14},
  pages     = {209 -- 221},
  year      = {2024},
  abstract  = {The FAYMONVILLE case study describes how the family-owned company Faymonville from eastern Belgium has succeeded in becoming one of the leading manufacturers in its sector. The targeted identification of new markets, the focus on relevant customer needs, and a consistent product policy with a coordinated manufacturing concept lay the foundations for success. In this case study, students can learn about how a company can successfully resolve the fundamental contradiction between economic and customized production.},
  language  = {en}
}