@techreport{6827,
  abstract     = {Introduction: Migration is a complicated social phenomenon that has a big impact on people's access to and use of health care, especially for vulnerable groups like women and children. The study was carried out to determine the factors affecting the potential use of health services and their usage by female Turkish migrants and their children living in Bielefeld, Germany.
Methods: The study adopted a qualitative design, and in-depth individual interview interviews were used to collect data. Interviews were conducted with 20 female Turkish migrants who have children with food allergies between November-December 2023. The data were analyzed using the content analysis method. 
Results: The ages of the female Turkish migrants participating in the study ranged from 31 to 48. A total of 4 themes were determined from the codes: 1) Perceptions on health services, 2) Perceptions of health care service in Germany compared to the country of origin, 3) Healthcare utilization and comparative perceptions of health systems, and 4) Factors that facilitate access to health services and increase satisfaction and suggestions for improvement. 
Discussion: Mothers have both positive and negative experiences with the German healthcare system, their perceptions of the German healthcare system are influenced by their experiences in their home country, there are factors that increase their satisfaction, they encounter individual and systemic barriers in healthcare service utilization, and they made some suggestions for overcoming these barriers.
},
  author       = {Makowsky, Katja and Sezer Efe, Yağmur },
  keywords     = {German healthcare system, factors affecting the potential use of health services, female Turkish migrants, their children},
  title        = {{UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY}},
  doi          = {10.57720/6827},
  year         = {2026},
}

@techreport{6791,
  author       = {Aslan Oguz, Evin and Küster, Jochen and Schildmann, Felix Lennart},
  keywords     = {Use Case Description, Quality Criteria, Bad Smells, Validation, LLM, NLP},
  title        = {{Automatic Validation of Use Case Descriptions in terms of quality criteria and bad smells via NLP models and LLMs - Extended Version}},
  year         = {2026},
}

@inproceedings{6184,
  author       = {Uphaus, Andreas and Kampe, Tim},
  booktitle    = {CARF Luzern 2025: Controlling. Accounting. Risiko. Finanzen.},
  editor       = {Behringer, Stefan},
  isbn         = {978-3-907379-60-8},
  keywords     = {Künstliche Intelligenz, Large language models, Use Cases},
  location     = {Luzern},
  pages        = {180--195},
  publisher    = {Verlag IFZ - Hochschule Luzern},
  title        = {{Künstliche Intelligenz im Finanz- und Rechnungswesen von KMU und Familienunternehmen – Anwendungsfälle, Chancen und Risiken}},
  year         = {2025},
}

@inproceedings{5877,
  author       = {Armutat, Sascha and Wattenberg, Malte and Mauritz, Nina},
  booktitle    = {Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit},
  keywords     = {Vorgehensmodell Mitarbeiterintegration, Qualifizierung, Kompetenzentwicklung, Sensibilisierung, digitale Transformation, KI-Use-Cases},
  location     = {Aachen},
  number       = {71},
  pages        = {210--215},
  publisher    = {GfA-Press},
  title        = {{Implementationsmodell zur Integration von Mitarbeitenden in strategische Digitalisierungsprojekte im Kontext von KI}},
  doi          = {10.57720/5877},
  year         = {2025},
}

@article{5022,
  author       = {Davies, Emma and Schwenzfeier-Hellkamp, Eva and Ehrmann, Andrea},
  issn         = {2227-9717},
  journal      = {Processes},
  keywords     = {hydrogen storage system, hydrogen transport, hydrogen use, leakage, explosion, pressure},
  number       = {10},
  publisher    = {MDPI AG},
  title        = {{Safety of Hydrogen Storage Technologies}},
  doi          = {10.3390/pr12102182},
  volume       = {12},
  year         = {2024},
}

@techreport{5510,
  author       = {Mauritz, Nina and Franken, Swetlana},
  keywords     = {Gender, KI},
  title        = {{Gender und KI-Anwendungen. Trägt KI zum Genderproblem oder zu seiner Lösung bei?}},
  doi          = {10.57720/5510},
  year         = {2021},
}

@inproceedings{3233,
  author       = {Dietrich, Steven and May, Gunther and Wetter, Oliver Utz and Heeren, Holger and Fohler, Gerhard},
  booktitle    = {2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
  keywords     = {Factory Automation, Wireless Communication, Requirements, Use Case Analysis, Reliability, Packet Error Rate, Mean Time To Failure},
  location     = {Limassol},
  pages        = {1--8},
  publisher    = {IEEE},
  title        = {{Performance indicators and use case analysis for wireless networks in factory automation}},
  doi          = {10.1109/ETFA.2017.8247605},
  year         = {2017},
}