@inproceedings{VenturaBortSchneiderWeymar2021,
  author    = {Ventura-Bort, Carlos and Schneider, Paula and Weymar, Mathias},
  title     = {Effects of transcutaneous auricular vagus nerve stimulation (TAVNS) on interoception},
  series = {Psychophysiology : journal of the Society for Psychophysiological Research},
  volume    = {58},
  booktitle = {Psychophysiology : journal of the Society for Psychophysiological Research},
  publisher = {Wiley-Blackwell},
  address   = {Malden, Mass. [u.a.]},
  issn      = {1469-8986},
  doi       = {10.1111/psyp.13928},
  pages     = {S58 -- S58},
  year      = {2021},
  language  = {en}
}
@inproceedings{SchenkeSchjeidePuescheletal.2021,
  author    = {Schenke, Maren and Schjeide, Brit-Maren and P{\"u}schel, Gerhard Paul and Seeger, Bettina},
  title     = {Serotype-specific sensitivity to Botulinum neurotoxins of iPSC-derived motor neurons},
  series = {Naunyn-Schmiedeberg's archives of pharmacology},
  volume    = {394},
  booktitle = {Naunyn-Schmiedeberg's archives of pharmacology},
  number    = {Suppl. 1},
  publisher = {Springer},
  address   = {Berlin ; Heidelberg},
  issn      = {0028-1298},
  doi       = {10.1007/s00210-021-02066-6},
  pages     = {S4 -- S4},
  year      = {2021},
  language  = {en}
}
@inproceedings{BoginHermanussenScheffler2021,
  author    = {Bogin, Barry and Hermanussen, Michael and Scheffler, Christiane},
  title     = {Fear, violence, inequality and stunting in Guatemala},
  series = {American journal of human biology : the official journal of the Human Biology Association},
  volume    = {33},
  booktitle = {American journal of human biology : the official journal of the Human Biology Association},
  publisher = {Wiley Interscience},
  address   = {New York, NY [u.a.]},
  issn      = {1520-6300},
  doi       = {10.1002/ajhb.23593},
  pages     = {1},
  year      = {2021},
  language  = {en}
}
@inproceedings{AdnanSrsicVenticichetal.2020,
  author    = {Adnan, Hassan Sami and Srsic, Amanda and Venticich, Pete Milos and Townend, David M.R.},
  title     = {Using AI for mental health analysis and prediction in school surveys},
  series = {European journal of public health},
  volume    = {30},
  booktitle = {European journal of public health},
  publisher = {Oxford Univ. Press},
  address   = {Oxford [u.a.]},
  issn      = {1101-1262},
  doi       = {10.1093/eurpub/ckaa165.336},
  pages     = {V125 -- V125},
  year      = {2020},
  abstract  = {Background: Childhood and adolescence are critical stages of life for mental health and well-being. Schools are a key setting for mental health promotion and illness prevention. One in five children and adolescents have a mental disorder, about half of mental disorders beginning before the age of 14. Beneficial and explainable artificial intelligence can replace current paper- based and online approaches to school mental health surveys. This can enhance data acquisition, interoperability, data driven analysis, trust and compliance. This paper presents a model for using chatbots for non-obtrusive data collection and supervised machine learning models for data analysis; and discusses ethical considerations pertaining to the use of these models. Methods: For data acquisition, the proposed model uses chatbots which interact with students. The conversation log acts as the source of raw data for the machine learning. Pre-processing of the data is automated by filtering for keywords and phrases. Existing survey results, obtained through current paper-based data collection methods, are evaluated by domain experts (health professionals). These can be used to create a test dataset to validate the machine learning models. Supervised learning can then be deployed to classify specific behaviour and mental health patterns. Results: We present a model that can be used to improve upon current paper-based data collection and manual data analysis methods. An open-source GitHub repository contains necessary tools and components of this model. Privacy is respected through rigorous observance of confidentiality and data protection requirements. Critical reflection on these ethics and law aspects is included in the project. Conclusions: This model strengthens mental health surveillance in schools. The same tools and components could be applied to other public health data. Future extensions of this model could also incorporate unsupervised learning to find clusters and patterns of unknown effects.},
  language  = {en}
}
@inproceedings{KocurClausenHofeditzetal.2023,
  author    = {Kocur, Alexander and Clausen, S{\"u}nje and Hofeditz, Lennart and Br{\"u}nker, Felix and Fromm, Jennifer and Stieglitz, Stefan},
  title     = {Fighting false information},
  series = {ECIS 2023 research-in-progress papers},
  booktitle = {ECIS 2023 research-in-progress papers},
  publisher = {AIS Electronic Library (AISeL)},
  address   = {[Erscheinungsort nicht ermittelbar]},
  pages     = {12},
  year      = {2023},
  abstract  = {The digital transformation poses challenges for public sector organizations (PSOs) such as the dissemination of false information in social media which can cause uncertainty among citizens and decrease trust in the public sector. Some PSOs already successfully deploy conversational agents (CAs) to communicate with citizens and support digital service delivery. In this paper, we used design science research (DSR) to examine how CAs could be designed to assist PSOs in fighting false information online. We conducted a workshop with the municipality of Kristiansand, Norway to define objectives that a CA would have to meet for addressing the identified false information challenges. A prototypical CA was developed and evaluated in two iterations with the municipality and students from Norway. This research-in-progress paper presents findings and next steps of the DSR process. This research contributes to advancing the digital transformation of the public sector in combating false information problems.},
  language  = {en}
}
@inproceedings{StephanBarbirzRobinsonetal.2021,
  author    = {Stephan, Mareike Sophia and Barbirz, Stefanie and Robinson, Tom and Yandrapalli, Naresh and Dimova, Rumiana},
  title     = {Bacterial mimetic systems for studying bacterial inactivation and infection},
  series = {Biophysical journal : BJ / ed. by the Biophysical Society},
  volume    = {120},
  booktitle = {Biophysical journal : BJ / ed. by the Biophysical Society},
  number    = {3},
  publisher = {Cell Press},
  address   = {Cambridge},
  issn      = {0006-3495},
  doi       = {10.1016/j.bpj.2020.11.1087},
  pages     = {148A -- 148A},
  year      = {2021},
  language  = {en}
}
@inproceedings{RamadanGuerreroNedielkovetal.2021,
  author    = {Ramadan, Shahenda and Guerrero, Paula and Nedielkov, Ruslan and Klishin, Nikolai and Dimova, Rumiana and Silva, Daniel V. and M{\"o}ller, Heiko},
  title     = {Building a mimetic system for unraveling protein-protein interactions on membranes},
  series = {European biophysics journal : with biophysics letters ; an international journal of biophysics},
  volume    = {50},
  booktitle = {European biophysics journal : with biophysics letters ; an international journal of biophysics},
  number    = {SUPPL 1},
  publisher = {Springer},
  address   = {Berlin ; Heidelberg ; New York},
  issn      = {0175-7571},
  doi       = {10.1007/s00249-021-01558-w},
  pages     = {S153 -- S153},
  year      = {2021},
  language  = {en}
}
@inproceedings{BaumKoesterKrasnovaetal.2020,
  author    = {Baum, Katharina and K{\"o}ster, Antonia and Krasnova, Hanna and Tarafdar, Monideepa},
  title     = {Living in a world of plenty?},
  series = {Proceedings of the 28th European Conference on Information Systems (ECIS) : ECIS 2020 Research Papers},
  booktitle = {Proceedings of the 28th European Conference on Information Systems (ECIS) : ECIS 2020 Research Papers},
  publisher = {AIS Electronic Library (AISeL)},
  address   = {[Erscheinungsort nicht ermittelbar]},
  year      = {2020},
  abstract  = {Inequality in the distribution of economic wealth within populations has been rising steadily over the past century, having reached unprecedented highs in many Western societies. However, this development is not reflected in people's perceptions of wealth inequality, as the public tends to underestimate it. Research suggests that inequality estimates are derived from personal reference groups, which, as we propose, are expanded by social network site (SNS) use. As content on SNSs frequently revolves around events of consumption, signaling enhanced overall population wealth, this study tests the hypothesis that SNS use distorts inequality perceptions downward, i.e., increases the perception of societal equality. Responses of 534 survey participants in the United States confirm that SNS use negatively predicts perceived inequality. The relationship is stronger the more SNS users perceive the content they encounter online as real, supporting the assumption that observing other people's behavior online lowers estimates of nationwide wealth inequality. These findings provide novel insights on inequality misperceptions by suggesting individuals' SNS use as a new predictor of perceived wealth inequality.},
  language  = {en}
}
@inproceedings{WandtWinkelbeinerLossowetal.2021,
  author    = {Wandt, Viktoria Klara Veronika and Winkelbeiner, Nicola and Loßow, Kristina and Kopp, Johannes and Simon, Luise and Ebert, Franziska and Kipp, Anna Patricia and Schwerdtle, Tanja},
  title     = {Trace elements, ageing, and sex. Impact on genome stability},
  series = {Naunyn-Schmiedeberg's archives of pharmacology},
  volume    = {394},
  booktitle = {Naunyn-Schmiedeberg's archives of pharmacology},
  number    = {Suppl. 1},
  publisher = {Springer},
  address   = {Berlin ; Heidelberg},
  issn      = {0028-1298},
  doi       = {10.1007/s00210-021-02066-6},
  pages     = {S13 -- S13},
  year      = {2021},
  language  = {en}
}
@inproceedings{RischBashfordKuligetal.2020,
  author    = {Risch, Lucie and Bashford, Greg and Kulig, Kornelia and Kaplick, Hannes and Mayer, Frank and Cassel, Michael},
  title     = {Spatial frequency analysis identifies altered local Micromorphology in adolescent athletes with Achilles tendinopathy},
  series = {Medicine and science in sports and exercise : MSSE ; official journal of the American College of Sports Medicine},
  volume    = {52},
  booktitle = {Medicine and science in sports and exercise : MSSE ; official journal of the American College of Sports Medicine},
  publisher = {Lippincott Williams \& Wilkins},
  address   = {Philadelphia},
  issn      = {0195-9131},
  doi       = {10.1249/01.mss.0000670932.99564.57},
  pages     = {82 -- 82},
  year      = {2020},
  language  = {en}
}