@article{HollmannFrohmeEndrullatetal.2020,
  author    = {Hollmann, Susanne and Frohme, Marcus and Endrullat, Christoph and Kremer, Andreas and D'Elia, Domenica and Regierer, Babette and Nechyporenko, Alina},
  title     = {Ten simple rules on how to write a standard operating procedure},
  series = {PLOS Computational Biology},
  volume    = {16},
  journal   = {PLOS Computational Biology},
  number    = {9},
  publisher = {PLOS},
  address   = {San Francisco},
  pages     = {10},
  year      = {2020},
  abstract  = {Research publications and data nowadays should be publicly available on the internet and, theoretically, usable for everyone to develop further research, products, or services. The long-term accessibility of research data is, therefore, fundamental in the economy of the research production process. However, the availability of data is not sufficient by itself, but also their quality must be verifiable. Measures to ensure reuse and reproducibility need to include the entire research life cycle, from the experimental design to the generation of data, quality control, statistical analysis, interpretation, and validation of the results. Hence, high-quality records, particularly for providing a string of documents for the verifiable origin of data, are essential elements that can act as a certificate for potential users (customers). These records also improve the traceability and transparency of data and processes, therefore, improving the reliability of results. Standards for data acquisition, analysis, and documentation have been fostered in the last decade driven by grassroot initiatives of researchers and organizations such as the Research Data Alliance (RDA). Nevertheless, what is still largely missing in the life science academic research are agreed procedures for complex routine research workflows. Here, well-crafted documentation like standard operating procedures (SOPs) offer clear direction and instructions specifically designed to avoid deviations as an absolute necessity for reproducibility. Therefore, this paper provides a standardized workflow that explains step by step how to write an SOP to be used as a starting point for appropriate research documentation.},
  language  = {en}
}
@article{BordihnVaszil2020,
  author    = {Bordihn, Henning and Vaszil, Gy{\"o}rgy},
  title     = {Deterministic Lindenmayer systems with dynamic control of parallelism},
  series = {International journal of foundations of computer science},
  volume    = {31},
  journal   = {International journal of foundations of computer science},
  number    = {1},
  publisher = {World Scientific},
  address   = {Singapore},
  issn      = {0129-0541},
  doi       = {10.1142/S0129054120400031},
  pages     = {37 -- 51},
  year      = {2020},
  abstract  = {M-rate 0L systems are interactionless Lindenmayer systems together with a function assigning to every string a set of multisets of productions that may be applied simultaneously to the string. Some questions that have been left open in the forerunner papers are examined, and the computational power of deterministic M-rate 0L systems is investigated, where also tabled and extended variants are taken into consideration.},
  language  = {en}
}
@article{LutherTiberiusBrem2020,
  author    = {Luther, Laura and Tiberius, Victor and Brem, Alexander},
  title     = {User experience (UX) in business, management, and psychology},
  series = {Multimodal technologies and interaction : open access journal},
  volume    = {4},
  journal   = {Multimodal technologies and interaction : open access journal},
  number    = {2},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2414-4088},
  doi       = {10.3390/mti4020018},
  pages     = {19},
  year      = {2020},
  abstract  = {User Experience (UX) describes the holistic experience of a user before, during, and after interaction with a platform, product, or service. UX adds value and attraction to their sole functionality and is therefore highly relevant for firms. The increased interest in UX has produced a vast amount of scholarly research since 1983. The research field is, therefore, complex and scattered. Conducting a bibliometric analysis, we aim at structuring the field quantitatively and rather abstractly. We employed citation analyses, co-citation analyses, and content analyses to evaluate productivity and impact of extant research. We suggest that future research should focus more on business and management related topics.},
  language  = {en}
}