@article{31547,
  author       = {{Hanke, Marcel and Dornbusch, Daniel and Hadlich, Christoph and Rossberg, Andre and Hansen, Niklas and Grundmeier, Guido and Tsushima, Satoru and Keller, Adrian and Fahmy, Karim}},
  issn         = {{2001-0370}},
  journal      = {{Computational and Structural Biotechnology Journal}},
  keywords     = {{Computer Science Applications, Genetics, Biochemistry, Structural Biology, Biophysics, Biotechnology}},
  pages        = {{2611--2623}},
  publisher    = {{Elsevier BV}},
  title        = {{{Anion-specific structure and stability of guanidinium-bound DNA origami}}},
  doi          = {{10.1016/j.csbj.2022.05.037}},
  volume       = {{20}},
  year         = {{2022}},
}

@article{34414,
  abstract     = {{Given a steadily increasing demand on multi-material lightweight designs, fast and cost-efficient production technologies, such as the mechanical joining process clinching, are becoming more and more relevant for series production. Since the application of such joining techniques often base on the ability to reach similar or even better joint loading capacities compared to established joining processes (e.g., spot welding), few contributions investigated the systematic improvement of clinch joint characteristics. In this regard, the use of data-driven methods in combination with optimization algorithms showed already high potentials for the analysis of individual joints and the definition of optimal tool configurations. However, the often missing consideration of uncertainties, such as varying material properties, and the related calculation of their impact on clinch joint properties can lead to poor estimation results and thus to a decreased reliability of the entire joint connection. This can cause major challenges, especially for the design and dimensioning of safety-relevant components, such as in car bodies. Motivated by this, the presented contribution introduces a novel method for the robust estimation of clinch joint characteristics including uncertainties of varying and versatile process chains in mechanical joining. Therefore, the utilization of Gaussian process regression models is demonstrated and evaluated regarding the ability to achieve sufficient prediction qualities.}},
  author       = {{Zirngibl, Christoph and Schleich, Benjamin and Wartzack, Sandro}},
  issn         = {{0268-3768}},
  journal      = {{The International Journal of Advanced Manufacturing Technology}},
  keywords     = {{Industrial and Manufacturing Engineering, Computer Science Applications, Mechanical Engineering, Software, Control and Systems Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Robust estimation of clinch joint characteristics based on data-driven methods}}},
  doi          = {{10.1007/s00170-022-10441-7}},
  year         = {{2022}},
}

@article{34046,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{2168-2291}},
  journal      = {{IEEE Transactions on Human-Machine Systems}},
  keywords     = {{Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Signal Processing, Control and Systems Engineering, Human Factors and Ergonomics}},
  pages        = {{1--11}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers' Use of Cruise Control}}},
  doi          = {{10.1109/thms.2022.3212335}},
  year         = {{2022}},
}

@article{30218,
  author       = {{Tuisku, Outi and Johansson-Pajala, Rose-Marie and Hoppe, Julia Amelie and Pekkarinen, Satu and Hennala, Lea and Thommes, Kirsten and Gustafsson, Christine and Melkas, Helinä}},
  issn         = {{0144-929X}},
  journal      = {{Behaviour & Information Technology}},
  keywords     = {{Human-Computer Interaction, General Social Sciences, Arts and Humanities (miscellaneous), Developmental and Educational Psychology}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Assistant nurses and orientation to care robot use in three European countries}}},
  doi          = {{10.1080/0144929x.2022.2042736}},
  year         = {{2022}},
}

@article{35522,
  abstract     = {{<jats:p>Following concepts describing lesson planning as a form of anticipatory reflection, preservice physics teachers’ reflection skills are assumed to be positively connected with their planning skills. However, empirical evidence on this is scarce. To explore how relations between these specific skills change over the course of a field experience controlling for influences of professional knowledge, we conduct a pre-post field study with N = 95 preservice physics teachers in a one-semester field experience. Content knowledge (CK) and pedagogical content knowledge (PCK) (paper-and-pencil tests), and reflection and planning skills (standardized performance assessments) were assessed before and after the field experience. Path analyses revealed almost no influence of reflection skills on planning skills. Reflections skills did not contribute to preservice teachers planning skills beyond knowledge, indicating both constructs might represent rather independent abilities. The results show the need for further development of models describing the development of teachers’ professional knowledge and skills in academic teacher education and for the development of concepts for a better integration of reflection and lesson planning in field experiences.</jats:p>}},
  author       = {{Vogelsang, Christoph and Kulgemeyer, Christoph and Riese, Josef}},
  issn         = {{2227-7102}},
  journal      = {{Education Sciences}},
  keywords     = {{Public Administration, Developmental and Educational Psychology, Education, Computer Science Applications, Computer Science (miscellaneous), Physical Therapy, Sports Therapy and Rehabilitation}},
  number       = {{7}},
  publisher    = {{MDPI AG}},
  title        = {{{Learning to Plan by Learning to Reflect?—Exploring Relations between Professional Knowledge, Reflection Skills, and Planning Skills of Preservice Physics Teachers in a One-Semester Field Experience}}},
  doi          = {{10.3390/educsci12070479}},
  volume       = {{12}},
  year         = {{2022}},
}

@article{35740,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.</jats:p>}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  number       = {{1}},
  pages        = {{375--396}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
  doi          = {{10.1007/s12525-022-00530-6}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{33673,
  abstract     = {{<jats:p> Superconducting Nanowire Single Photon Detectors (SNSPDs) have become an integral part of quantum optics in recent years because of their high performance in single photon detection. We present a method to replace the electrical input by supplying the required bias current via the photocurrent of a photodiode situated on the cold stage of the cryostat. Light is guided to the bias photodiode through an optical fiber, which enables a lower thermal conduction and galvanic isolation between room temperature and the cold stage. We show that an off-the-shelf InGaAs–InP photodiode exhibits a responsivity of at least 0.55 A/W at 0.8 K. Using this device to bias an SNSPD, we characterize the count rate dependent on the optical power incident on the photodiode. This configuration of the SNSPD and photodiode shows an expected plateau in the single photon count rate with an optical bias power on the photodiode above 6.8 µW. Furthermore, we compare the same detector under both optical and electrical bias, and show there is no significant changes in performance. This has the advantage of avoiding an electrical input cable, which reduces the latent heat load by a factor of 100 and, in principle, allows for low loss RF current supply at the cold stage. </jats:p>}},
  author       = {{Thiele, Frederik and Hummel, Thomas and Protte, Maximilian and Bartley, Tim}},
  issn         = {{2378-0967}},
  journal      = {{APL Photonics}},
  keywords     = {{Computer Networks and Communications, Atomic and Molecular Physics, and Optics}},
  number       = {{8}},
  publisher    = {{AIP Publishing}},
  title        = {{{Opto-electronic bias of a superconducting nanowire single photon detector using a cryogenic photodiode}}},
  doi          = {{10.1063/5.0097506}},
  volume       = {{7}},
  year         = {{2022}},
}

@article{44637,
  author       = {{Hoppe, Julia Amelie and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}},
  issn         = {{2451-9588}},
  journal      = {{Computers in Human Behavior Reports}},
  keywords     = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}},
  doi          = {{10.1016/j.chbr.2022.100258}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{34295,
  author       = {{Hoppe, Julia Amelie and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}},
  issn         = {{2451-9588}},
  journal      = {{Computers in Human Behavior Reports}},
  keywords     = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}},
  doi          = {{10.1016/j.chbr.2022.100258}},
  year         = {{2022}},
}

@article{44636,
  author       = {{Hoppe, Julia A. and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}},
  issn         = {{2451-9588}},
  journal      = {{Computers in Human Behavior Reports}},
  keywords     = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}},
  doi          = {{10.1016/j.chbr.2022.100258}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{32273,
  author       = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}},
  issn         = {{1044-7318}},
  journal      = {{International Journal of Human–Computer Interaction}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}},
  doi          = {{10.1080/10447318.2022.2081283}},
  year         = {{2022}},
}

@article{51210,
  author       = {{Tuisku, Outi and Johansson-Pajala, Rose-Marie and Hoppe, Julia Amelie and Pekkarinen, Satu and Hennala, Lea and Thommes, Kirsten and Gustafsson, Christine and Melkas, Helinä}},
  issn         = {{0144-929X}},
  journal      = {{Behaviour &amp; Information Technology}},
  keywords     = {{Human-Computer Interaction, General Social Sciences, Arts and Humanities (miscellaneous), Developmental and Educational Psychology}},
  number       = {{6}},
  pages        = {{758--774}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Assistant nurses and orientation to care robot use in three European countries}}},
  doi          = {{10.1080/0144929x.2022.2042736}},
  volume       = {{42}},
  year         = {{2022}},
}

@article{47563,
  author       = {{Di Pretoro, Alessandro and Bruns, Bastian and Negny, Stéphane and Grünewald, Marcus and Riese, Julia}},
  issn         = {{0098-1354}},
  journal      = {{Computers &amp; Chemical Engineering}},
  keywords     = {{Computer Science Applications, General Chemical Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Demand response scheduling using derivative-based dynamic surrogate models}}},
  doi          = {{10.1016/j.compchemeng.2022.107711}},
  volume       = {{160}},
  year         = {{2022}},
}

@article{53266,
  author       = {{Soleymani, Mohammad and Santamaria, Ignacio and Jorswieck, Eduard A.}},
  issn         = {{0018-9545}},
  journal      = {{IEEE Transactions on Vehicular Technology}},
  keywords     = {{Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Automotive Engineering}},
  number       = {{4}},
  pages        = {{4580--4597}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Rate Splitting in MIMO RIS-Assisted Systems With Hardware Impairments and Improper Signaling}}},
  doi          = {{10.1109/tvt.2022.3222633}},
  volume       = {{72}},
  year         = {{2022}},
}

@article{53267,
  author       = {{Soleymani, Mohammad and Santamaria, Ignacio and Schreier, Peter J.}},
  issn         = {{2473-2400}},
  journal      = {{IEEE Transactions on Green Communications and Networking}},
  keywords     = {{Computer Networks and Communications, Renewable Energy, Sustainability and the Environment}},
  number       = {{2}},
  pages        = {{723--738}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Improper Signaling for Multicell MIMO RIS-Assisted Broadcast Channels With I/Q Imbalance}}},
  doi          = {{10.1109/tgcn.2021.3140150}},
  volume       = {{6}},
  year         = {{2022}},
}

@article{53236,
  author       = {{Tavana, Madjid and Shaabani, Akram and Di Caprio, Debora and Bonyani, Abbas}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  keywords     = {{Artificial Intelligence, Computer Science Applications, General Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{A novel Interval Type-2 Fuzzy best-worst method and combined compromise solution for evaluating eco-friendly packaging alternatives}}},
  doi          = {{10.1016/j.eswa.2022.117188}},
  volume       = {{200}},
  year         = {{2022}},
}

@article{45847,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>In this paper, we investigate the parameterized complexity of model checking for Dependence and Independence logic, which are well studied logics in the area of Team Semantics. We start with a list of nine immediate parameterizations for this problem, namely the number of disjunctions (i.e. splits)/(free) variables/universal quantifiers, formula-size, the tree-width of the Gaifman graph of the input structure, the size of the universe/team and the arity of dependence atoms. We present a comprehensive picture of the parameterized complexity of model checking and obtain a division of the problem into tractable and various intractable degrees. Furthermore, we also consider the complexity of the most important variants (data and expression complexity) of the model checking problem by fixing parts of the input.</jats:p>}},
  author       = {{Kontinen, Juha and Meier, Arne and Mahmood, Yasir}},
  issn         = {{0955-792X}},
  journal      = {{Journal of Logic and Computation}},
  keywords     = {{Logic, Hardware and Architecture, Arts and Humanities (miscellaneous), Software, Theoretical Computer Science}},
  number       = {{8}},
  pages        = {{1624--1644}},
  publisher    = {{Oxford University Press (OUP)}},
  title        = {{{A parameterized view on the complexity of dependence and independence logic}}},
  doi          = {{10.1093/logcom/exac070}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{33869,
  author       = {{Bonnard, B. and Cots, O. and Gergaud, J. and Wembe Moafo, Boris Edgar}},
  issn         = {{0167-6911}},
  journal      = {{Systems &amp; Control Letters}},
  keywords     = {{Electrical and Electronic Engineering, Mechanical Engineering, General Computer Science, Control and Systems Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Abnormal geodesics in 2D-Zermelo navigation problems in the case of revolution and the fan shape of the small time balls}}},
  doi          = {{10.1016/j.sysconle.2022.105140}},
  volume       = {{161}},
  year         = {{2022}},
}

@article{37138,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Assuming that potential biases of Artificial Intelligence (AI)-based systems can be identified and controlled for (e.g., by providing high quality training data), employing such systems to augment human resource (HR)-decision makers in candidate selection provides an opportunity to make selection processes more objective. However, as the final hiring decision is likely to remain with humans, prevalent human biases could still cause discrimination. This work investigates the impact of an AI-based system’s candidate recommendations on humans’ hiring decisions and how this relation could be moderated by an Explainable AI (XAI) approach. We used a self-developed platform and conducted an online experiment with 194 participants. Our quantitative and qualitative findings suggest that the recommendations of an AI-based system can reduce discrimination against older and female candidates but appear to cause fewer selections of foreign-race candidates. Contrary to our expectations, the same XAI approach moderated these effects differently depending on the context.</jats:p>}},
  author       = {{Hofeditz, Lennart and Clausen, Sünje and Rieß, Alexander and Mirbabaie, Milad and Stieglitz, Stefan}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets (ELMA)}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Applying XAI to an AI-based system for candidate management to mitigate bias and discrimination in hiring}}},
  doi          = {{10.1007/s12525-022-00600-9}},
  year         = {{2022}},
}

@inproceedings{37140,
  abstract     = {{<jats:p>Social media have become not only integral parts of our private and professional lives, but also an indispensable source of data for empirical research across a variety of academic disciplines. Applying a Social Media Analytics (SMA) methodology, however, imposes heavy ethical challenges on researchers. Scholars in the Information Systems (IS) discipline must deal with a patchwork of ethical frameworks, regulations, and (missing) institutional support. To initiate a debate on how to develop a common understanding of SMA research ethics, this paper compiles a scoping review of extant literature and suggests a research agenda for IS scholarship on this matter. The review yields a total of eight fundamental principles of ethical SMA research, which provide a starting point to guiding individual researchers towards more ethical conduct. At the same time, this work unearths a multitude of intricate dilemmas that are currently unresolved. The findings of this review will encourage IS scholarship to find its own voice in the debate about social media research ethics.</jats:p>}},
  author       = {{Marx, Julian and Mirbabaie, Milad}},
  booktitle    = {{Australasian Journal of Information Systems}},
  issn         = {{1449-8618}},
  keywords     = {{Information Systems and Management, Human-Computer Interaction, Business, Management and Accounting (miscellaneous), Information Systems}},
  publisher    = {{Australian Journal of Information Systems}},
  title        = {{{The Investigator’s Dilemma - A Review of Social Media Analytics Research Ethics in Information Systems}}},
  doi          = {{10.3127/ajis.v26i0.3287}},
  volume       = {{26}},
  year         = {{2022}},
}