@inproceedings{DemarisGrišićHuisingaetal.2020, author = {D{\´e}maris, Alise and Grišić, Ana-Marija and Huisinga, Wilhelm and Walter, Reinisch and Kloft, Charlotte}, title = {Evaluation of dosing strategies of anti-TNF alpha monoclonal antibodies using pharmacokinetic modelling and simulation}, series = {Journal of Crohn's and Colitis}, volume = {14}, booktitle = {Journal of Crohn's and Colitis}, number = {Supp. 1}, publisher = {Oxford Univ. Press}, address = {Oxford}, issn = {1873-9946}, doi = {10.1093/ecco-jcc/jjz203.201}, pages = {S171 -- S172}, year = {2020}, abstract = {Background: Anti-TNFα monoclonal antibodies (mAbs) are a well-established treatment for patients with Crohn's disease (CD). However, subtherapeutic concentrations of mAbs have been related to a loss of response during the first year of therapy1. Therefore, an appropriate dosing strategy is crucial to prevent the underexposure of mAbs for those patients. The aim of our study was to assess the impact of different dosing strategies (fixed dose or body size descriptor adapted) on drug exposure and the target concentration attainment for two different anti-TNFα mAbs: infliximab (IFX, body weight (BW)-based dosing) and certolizumab pegol (CZP, fixed dosing). For this purpose, a comprehensive pharmacokinetic (PK) simulation study was performed. Methods: A virtual population of 1000 clinically representative CD patients was generated based on the distribution of CD patient characteristics from an in-house clinical database (n = 116). Seven dosing regimens were investigated: fixed dose and per BW, lean BW (LBW), body surface area, height, body mass index and fat-free mass. The individual body size-adjusted doses were calculated from patient generated body size descriptor values. Then, using published PK models for IFX and CZP in CD patients2,3, for each patient, 1000 concentration-time profiles were simulated to consider the typical profile of a specific patient as well as the range of possible individual profiles due to unexplained PK variability across patients. For each dosing strategy, the variability in maximum and minimum mAb concentrations (Cmax and Cmin, respectively), area under the concentration-time curve (AUC) and the per cent of patients reaching target concentration were assessed during maintenance therapy. Results: For IFX and CZP, Cmin showed the highest variability between patients (CV ≈110\% and CV ≈80\%, respectively) with a similar extent across all dosing strategies. For IFX, the per cent of patients reaching the target (Cmin = 5 µg/ml) was similar across all dosing strategies (~15\%). For CZP, the per cent of patients reaching the target average concentration of 17 µg/ml ranged substantially (52-71\%), being the highest for LBW-adjusted dosing. Conclusion: By using a PK simulation approach, different dosing regimen of IFX and CZP revealed the highest variability for Cmin, the most commonly used PK parameter guiding treatment decisions, independent upon dosing regimen. Our results demonstrate similar target attainment with fixed dosing of IFX compared with currently recommended BW-based dosing. For CZP, the current fixed dosing strategy leads to comparable percentage of patients reaching target as the best performing body size-adjusted dosing (66\% vs. 71\%, respectively).}, language = {en} } @inproceedings{RudianHaasePinkwart2022, author = {Rudian, Sylvio Leo and Haase, Jennifer and Pinkwart, Niels}, title = {Predicting creativity in online courses}, series = {2022 International Conference on Advanced Learning Technologies (ICALT)}, booktitle = {2022 International Conference on Advanced Learning Technologies (ICALT)}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-6654-9519-6}, doi = {10.1109/ICALT55010.2022.00056}, pages = {164 -- 168}, year = {2022}, abstract = {Many prediction tasks can be done based on users' trace data. This paper explores divergent and convergent thinking as person-related attributes and predicts them based on features gathered in an online course. We use the logfile data of a short Moodle course, combined with an image test (IMT), the Alternate Uses Task (AUT), the Remote Associates Test (RAT), and creative self-efficacy (CSE). Our results show that originality and elaboration metrics can be predicted with an accuracy of ~.7 in cross-validation, whereby predicting fluency and RAT scores perform worst. CSE items can be predicted with an accuracy of ~.45. The best performing model is a Random Forest Tree, where the features were reduced using a Linear Discriminant Analysis in advance. The promising results can help to adjust online courses to the learners' needs based on their creative performances.}, language = {en} } @inproceedings{KrauseBaumann2021, author = {Krause, Hannes-Vincent and Baumann, Annika}, title = {The devil in disguise}, series = {ICIS 2021: user behaviors, engagement, and consequences}, booktitle = {ICIS 2021: user behaviors, engagement, and consequences}, publisher = {AIS Electronic Library (AISeL)}, address = {[Erscheinungsort nicht ermittelbar]}, year = {2021}, abstract = {Envy constitutes a serious issue on Social Networking Sites (SNSs), as this painful emotion can severely diminish individuals' well-being. With prior research mainly focusing on the affective consequences of envy in the SNS context, its behavioral consequences remain puzzling. While negative interactions among SNS users are an alarming issue, it remains unclear to which extent the harmful emotion of malicious envy contributes to these toxic dynamics. This study constitutes a first step in understanding malicious envy's causal impact on negative interactions within the SNS sphere. Within an online experiment, we experimentally induce malicious envy and measure its immediate impact on users' negative behavior towards other users. Our findings show that malicious envy seems to be an essential factor fueling negativity among SNS users and further illustrate that this effect is especially pronounced when users are provided an objective factor to mask their envy and justify their norm-violating negative behavior.}, language = {en} } @inproceedings{SultanowChircuWuestemannetal.2022, author = {Sultanow, Eldar and Chircu, Alina and W{\"u}stemann, Stefanie and Schwan, Andr{\´e} and Lehmann, Andreas and Sept, Andr{\´e} and Szymaski, Oliver and Venkatesan, Sripriya and Ritterbusch, Georg David and Teichmann, Malte Rolf}, title = {Metaverse opportunities for the public sector}, series = {International Conference on Information Systems 2022 : Special Interest Group on Big Data : Proceedings}, booktitle = {International Conference on Information Systems 2022 : Special Interest Group on Big Data : Proceedings}, publisher = {AIS}, address = {Atlanta}, year = {2022}, abstract = {The metaverse is envisioned as a virtual shared space facilitated by emerging technologies such as virtual reality (VR), augmented reality (AR), the Internet of Things (IoT), 5G, artificial intelligence (AI), big data, spatial computing, and digital twins (Allam et al., 2022; Dwivedi et al., 2022; Ravenscraft, 2022; Wiles, 2022). While still a nascent concept, the metaverse has the potential to "transform the physical world, as well as transport or extend physical activities to a virtual world" (Wiles, 2022). Big data technologies will also be essential in managing the enormous amounts of data created in the metaverse (Sun et al., 2022). Metaverse technologies can offer the public sector a host of benefits, such as simplified information exchange, stronger communication with citizens, better access to public services, or benefiting from a new virtual economy. Implementations are underway in several cities around the world (Geraghty et al., 2022). In this paper, we analyze metaverse opportunities for the public sector and explore their application in the context of Germany's Federal Employment Agency. Based on an analysis of academic literature and practical examples, we create a capability map for potential metaverse business capabilities for different areas of the public sector (broadly defined). These include education (virtual training and simulation, digital campuses that offer not just online instruction but a holistic university campus experience, etc.), tourism (virtual travel to remote locations and museums, virtual festival participation, etc.), health (employee training - as for emergency situations, virtual simulations for patient treatment - for example, for depression or anxiety, etc.), military (virtual training to experience operational scenarios without being exposed to a real-world threats, practice strategic decision-making, or gain technical knowledge for operating and repairing equipment, etc.), administrative services (document processing, virtual consultations for citizens, etc.), judiciary (AI decision-making aids, virtual proceedings, etc.), public safety (virtual training for procedural issues, special operations, or unusual situations, etc.), emergency management (training for natural disasters, etc.), and city planning (visualization of future development projects and interactive feedback, traffic management, attraction gamification, etc.), among others. We further identify several metaverse application areas for Germany's Federal Employment Agency. These applications can help it realize the goals of the German government for digital transformation that enables faster, more effective, and innovative government services. They include training of employees, training of customers, and career coaching for customers. These applications can be implemented using interactive learning games with AI agents, virtual representations of the organizational spaces, and avatars interacting with each other in these spaces. Metaverse applications will both use big data (to design the virtual environments) and generate big data (from virtual interactions). Issues related to data availability, quality, storage, processing (and related computing power requirements), interoperability, sharing, privacy and security will need to be addressed in these emerging metaverse applications (Sun et al., 2022). Special attention is needed to understand the potential for power inequities (wealth inequity, algorithmic bias, digital exclusion) due to technologies such as VR (Egliston \& Carter, 2021), harmful surveillance practices (Bibri \& Allam, 2022), and undesirable user behavior or negative psychological impacts (Dwivedi et al., 2022). The results of this exploratory study can inform public sector organizations of emerging metaverse opportunities and enable them to develop plans for action as more of the metaverse technologies become a reality. While the metaverse body of research is still small and research agendas are only now starting to emerge (Dwivedi et al., 2022), this study offers a building block for future development and analysis of metaverse applications.}, language = {en} } @inproceedings{MichaelisAengenheisterSchwerdtleetal.2021, author = {Michaelis, Vivien and Aengenheister, Leonie and Schwerdtle, Tanja and Buerki-Thurnherr, Tina and Bornhorst, Julia}, title = {Manganese translocation across an in vitro model of human villous trophoblast}, series = {Placenta}, volume = {112}, booktitle = {Placenta}, publisher = {Elsevier}, address = {Amsterdam [u.a.]}, issn = {0143-4004}, pages = {E63 -- E64}, year = {2021}, language = {en} } @inproceedings{OPUS4-63397, title = {Current developments in Slavic linguistics - twenty years after}, series = {Potsdam linguistic investigations}, volume = {29}, booktitle = {Potsdam linguistic investigations}, editor = {Radeva-Bork, Teodora and Kosta, Peter}, publisher = {Peter Lang}, address = {Berlin}, isbn = {978-3-631-67673-8}, issn = {1862-524X}, doi = {10.3726/978-3-653-07147-4}, pages = {500}, year = {2020}, abstract = {The book offers a comprehensive overview of current research in Slavic linguistics from a theoretical and experimental perspective and from a variety of languages. The selected papers from the 11th European Conference on Formal Description of Slavic Languages (FDSL 11) that took place at the University of Potsdam in 2015, illustrate the advancement of Slavic linguistic studies and their outreach for the development of general linguistics. The guest paper by Noam Chomsky at the beginning of the book sets a clear sign in this direction and may be taken as an acknowledgement of the field.}, language = {en} } @inproceedings{BrandenburgerTeichmann2022, author = {Brandenburger, Bonny and Teichmann, Malte}, title = {Looking for participation}, series = {12th Conference on Learning Factories}, booktitle = {12th Conference on Learning Factories}, publisher = {Social Science Electronic Publing}, address = {[Erscheinungsort nicht ermittelbar]}, issn = {1556-5068}, pages = {1 -- 6}, year = {2022}, abstract = {A stronger learner orientation through participatory learning increases learning motivation and results. But what does participatory learning mean? Where do learning factories and fabrication laboratories (FabLabs) stand in this context, and how can didactic implementation be improved in this respect? Using a newly developed analytical framework, which contains elements of the stage model of participation and general media didactics, we compare a FabLab and a learning factory example concerning the degree of participation. From this, we derive guidelines for designing participative teaching and learning processes in learning factories. We explain how FabLabs can be an inspiration for the didactic design of learning factories.}, language = {en} } @inproceedings{RieskampMirbabaieHofeditzetal.2023, author = {Rieskamp, Jonas and Mirbabaie, Milad and Hofeditz, Lennart and Vischedyk, Justin}, title = {Conversational agents and their influence on the well-being of cliniciansclinicians}, series = {ACIS 2023 proceedings}, booktitle = {ACIS 2023 proceedings}, publisher = {Australasian Association for Information Systems}, address = {Wellington}, pages = {16}, year = {2023}, abstract = {An increasing number of clinicians (i.e., nurses and physicians) suffer from mental health-related issues like depression and burnout. These, in turn, stress communication, collaboration, and decision- making—areas in which Conversational Agents (CAs) have shown to be useful. Thus, in this work, we followed a mixed-method approach and systematically analysed the literature on factors affecting the well-being of clinicians and CAs' potential to improve said well-being by relieving support in communication, collaboration, and decision-making in hospitals. In this respect, we are guided by Brigham et al. (2018)'s model of factors influencing well-being. Based on an initial number of 840 articles, we further analysed 52 papers in more detail and identified the influences of CAs' fields of application on external and individual factors affecting clinicians' well-being. As our second method, we will conduct interviews with clinicians and experts on CAs to verify and extend these influencing factors.}, language = {en} } @inproceedings{RojahnGronau2023, author = {Rojahn, Marcel and Gronau, Norbert}, title = {Digital platform concepts for manufacturing companies}, series = {10th International Conference on Future Internet of Things and Cloud (FiCloud)}, booktitle = {10th International Conference on Future Internet of Things and Cloud (FiCloud)}, publisher = {IEEE}, address = {[Erscheinungsort nicht ermittelbar]}, isbn = {979-8-3503-1635-3}, doi = {10.1109/FiCloud58648.2023.00030}, pages = {149 -- 158}, year = {2023}, abstract = {Digital Platforms (DPs) has established themself in recent years as a central concept of the Information Technology Science. Due to the great diversity of digital platform concepts, clear definitions are still required. Furthermore, DPs are subject to dynamic changes from internal and external factors, which pose challenges for digital platform operators, developers and customers. Which current digital platform research directions should be taken to address these challenges remains open so far. The following paper aims to contribute to this by outlining a systematic literature review (SLR) on digital platform concepts in the context of the Industrial Internet of Things (IIoT) for manufacturing companies and provides a basis for (1) a selection of definitions of current digital platform and ecosystem concepts and (2) a selection of current digital platform research directions. These directions are diverted into (a) occurrence of digital platforms, (b) emergence of digital platforms, (c) evaluation of digital platforms, (d) development of digital platforms, and (e) selection of digital platforms.}, language = {en} } @inproceedings{KrauseGrosseDetersBaumann2020, author = {Krause, Hannes-Vincent and Große Deters, Fenne and Baumann, Annika}, title = {The envy spiral}, series = {Proceedings of the 28th European Conference on Information Systems (ECIS) : ECIS 2020 Research-in-Progress Papers}, booktitle = {Proceedings of the 28th European Conference on Information Systems (ECIS) : ECIS 2020 Research-in-Progress Papers}, publisher = {AIS Electronic Library (AISeL)}, address = {[Erscheinungsort nicht ermittelbar]}, isbn = {978-1-7336325-1-5}, year = {2020}, abstract = {On Social Networking Sites (SNS) users disclose mostly positive and often self-enhancing information. Scholars refer to this phenomenon as the positivity bias in SNS communication (PBSC). However, while theoretical explanations for this phenomenon have been proposed, an empirical proof of these theorized mechanisms is still missing. The project presented in this Research-in-Progress paper aims at explaining the PBSC with the mechanism specified in the self-enhancement envy spiral. Specifically, we hypothesize that feelings of envy drive people to post positive and self-enhancing content on SNS. To test this hypothesis, we developed an experimental design allowing to examine the causal effect of envy on the positivity of users' subsequently posted content. In a preliminary study, we tested our manipulation of envy and could show its effectiveness in inducing different levels of envy between our groups. Our project will help to broaden the understanding of the complex dynamics of SNS and the potentially adverse driving forces underlying them.}, language = {en} }