@article{53417,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Remote-controlled telescopes in education provide the opportunity to obtain high quality astronomy images for a broad variety of users. The Stellarium Gornergrat is such a telescope. In addition to pure observation, it offers a user-friendly interface and teaching modules so that astronomical and astrophysical projects can be integrated into everyday school life without any special prior knowledge and without requiring a lot of time. This contribution presents the Stellarium project and a provides an overview of several teaching activities.</jats:p>}},
  author       = {{Gschwind, Stéphane and Hohmann, Sascha and Müller, Andreas and Nordine, Jeffrey and Riesen, Timm-Emanuel}},
  issn         = {{1742-6588}},
  journal      = {{Journal of Physics: Conference Series}},
  keywords     = {{Computer Science Applications, History, Education}},
  location     = {{Hanoi}},
  number       = {{1}},
  publisher    = {{IOP Publishing}},
  title        = {{{The Stellarium Gornergrat: Astrophysics with your own Data}}},
  doi          = {{10.1088/1742-6596/2727/1/012011}},
  volume       = {{2727}},
  year         = {{2024}},
}

@article{53213,
  author       = {{Amiri, Arman and Tavana, Madjid and Arman, Hosein}},
  issn         = {{2542-6605}},
  journal      = {{Internet of Things}},
  keywords     = {{Management of Technology and Innovation, Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Engineering (miscellaneous), Information Systems, Computer Science (miscellaneous), Software}},
  publisher    = {{Elsevier BV}},
  title        = {{{An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction}}},
  doi          = {{10.1016/j.iot.2023.101027}},
  volume       = {{25}},
  year         = {{2024}},
}

@article{49655,
  abstract     = {{In today's digital world, data-driven digital artefacts pose challenges for education, as many students lack an understanding of data and feel powerless when interacting with them. This article addresses these challenges and introduces the data awareness framework. It focuses on understanding data-driven technologies and reflecting on the role of data in everyday life. The paper also presents an empirical study on young school students' data awareness. The study involves a teaching unit on data awareness framed by a pretest-posttest design using a questionnaire on students' awareness and understanding of and reflection on data practices of data-driven digital artefacts. The study's findings indicate that the data awareness framework supports students in understanding data practices of data-driven digital artefacts. The findings also suggest that the framework encourages students to reflect on these data practices and think about their daily behaviour. Students learn a model about interactions with data-driven digital artefacts and use it to analyse data-driven applications. This approach appears to enable students to understand these artefacts from everyday life and reflect on these interactions. The work contributes to research on data and AI literacies and suggests a way to support students in developing self-determination and agency during interactions with data-driven digital artefacts.}},
  author       = {{Höper, Lukas and Schulte, Carsten}},
  issn         = {{2398-5348}},
  journal      = {{Information and Learning Sciences}},
  keywords     = {{Library and Information Sciences, Computer Science Applications, Education}},
  number       = {{7/8}},
  pages        = {{491--512}},
  publisher    = {{Emerald}},
  title        = {{{The data awareness framework as part of data literacies in K-12 education}}},
  doi          = {{10.1108/ils-06-2023-0075}},
  volume       = {{125}},
  year         = {{2024}},
}

@article{52958,
  author       = {{Boeddeker, Christoph and Subramanian, Aswin Shanmugam and Wichern, Gordon and Haeb-Umbach, Reinhold and Le Roux, Jonathan}},
  issn         = {{2329-9290}},
  journal      = {{IEEE/ACM Transactions on Audio, Speech, and Language Processing}},
  keywords     = {{Electrical and Electronic Engineering, Acoustics and Ultrasonics, Computer Science (miscellaneous), Computational Mathematics}},
  pages        = {{1185--1197}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings}}},
  doi          = {{10.1109/taslp.2024.3350887}},
  volume       = {{32}},
  year         = {{2024}},
}

@article{53622,
  abstract     = {{<jats:p>In K-12 computing education, there is a need to identify and teach concepts that are relevant to understanding machine learning technologies. Studies of teaching approaches often evaluate whether students have learned the concepts. However, scant research has examined whether such concepts support understanding digital artefacts from everyday life and developing agency in a digital world. This paper presents a qualitative study that explores students’ perspectives on the relevance of learning concepts of data-driven technologies for navigating the digital world. The underlying approach of the study is data awareness, which aims to support students in understanding and reflecting on such technologies to develop agency in a data-driven world. This approach teaches students an explanatory model encompassing several concepts of the role of data in data-driven technologies. We developed an intervention and conducted retrospective interviews with students. Findings from the analysis of the interviews indicate that students can analyse and understand data-driven technologies from their everyday lives according to the central role of data. In addition, students’ answers revealed four areas of how learning about data-driven technologies becomes relevant to them. The paper concludes with a preliminary model suggesting how computing education can make concepts of data-driven technologies meaningful for students to understand and navigate the digital world.</jats:p>}},
  author       = {{Höper, Lukas and Schulte, Carsten}},
  issn         = {{1648-5831}},
  journal      = {{Informatics in Education}},
  keywords     = {{Computer Science Applications, Communication, Education, General Engineering}},
  publisher    = {{Vilnius University Press}},
  title        = {{{Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies}}},
  doi          = {{10.15388/infedu.2024.19}},
  year         = {{2024}},
}

@article{48063,
  abstract     = {{<jats:p>Brainwaves have demonstrated to be unique enough across individuals to be useful as biometrics. They also provide promising advantages over traditional means of authentication, such as resistance to external observability, revocability, and intrinsic liveness detection. However, most of the research so far has been conducted with expensive, bulky, medical-grade helmets, which offer limited applicability for everyday usage. With the aim to bring brainwave authentication and its benefits closer to real world deployment, we investigate brain biometrics with consumer devices. We conduct a comprehensive measurement experiment and user study that compare five authentication tasks on a user sample up to 10 times larger than those from previous studies, introducing three novel techniques based on cognitive semantic processing. Furthermore, we apply our analysis on high-quality open brainwave data obtained with a medical-grade headset, to assess the differences. We investigate both the performance, security, and usability of the different options and use this evidence to elicit design and research recommendations. Our results show that it is possible to achieve Equal Error Rates as low as 7.2% (a reduction between 68–72% with respect to existing approaches) based on brain responses to images with current inexpensive technology. We show that the common practice of testing authentication systems only with known attacker data is unrealistic and may lead to overly optimistic evaluations. With regard to adoption, users call for simpler devices, faster authentication, and better privacy.</jats:p>
          <jats:p />}},
  author       = {{Arias-Cabarcos, Patricia and Fallahi, Matin and Habrich, Thilo and Schulze, Karen and Becker, Christian and Strufe, Thorsten}},
  issn         = {{2471-2566}},
  journal      = {{ACM Transactions on Privacy and Security}},
  keywords     = {{Safety, Risk, Reliability and Quality, General Computer Science}},
  number       = {{3}},
  pages        = {{1--36}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Performance and Usability Evaluation of Brainwave Authentication Techniques with Consumer Devices}}},
  doi          = {{10.1145/3579356}},
  volume       = {{26}},
  year         = {{2023}},
}

@article{48465,
  author       = {{Westermann, Hendrik and Mahnken, Rolf}},
  issn         = {{0045-7825}},
  journal      = {{Computer Methods in Applied Mechanics and Engineering}},
  keywords     = {{Computer Science Applications, General Physics and Astronomy, Mechanical Engineering, Mechanics of Materials, Computational Mechanics}},
  publisher    = {{Elsevier BV}},
  title        = {{{On the accuracy, stability and computational efficiency of explicit last-stage diagonally implicit Runge–Kutta methods (ELDIRK) for the adaptive solution of phase-field problems}}},
  doi          = {{10.1016/j.cma.2023.116545}},
  volume       = {{418}},
  year         = {{2023}},
}

@article{48673,
  author       = {{Lenz, Peter and Kreutzheide, Phil and Mahnken, Rolf}},
  issn         = {{0045-7949}},
  journal      = {{Computers &amp; Structures}},
  keywords     = {{Computer Science Applications, Mechanical Engineering, General Materials Science, Modeling and Simulation, Civil and Structural Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Multiphase elasto-plastic mean-field homogenisation and its consistent linearisation}}},
  doi          = {{10.1016/j.compstruc.2023.107160}},
  volume       = {{290}},
  year         = {{2023}},
}

@article{44639,
  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         = {{2023}},
}

@article{49516,
  abstract     = {{<jats:p>In this article, we present RISE—a <jats:bold>R</jats:bold>obotics <jats:bold>I</jats:bold>ntegration and <jats:bold>S</jats:bold>cenario-Management <jats:bold>E</jats:bold>xtensible-Architecture—for designing human–robot dialogs and conducting <jats:italic>Human–Robot Interaction</jats:italic> (HRI) studies. In current HRI research, interdisciplinarity in the creation and implementation of interaction studies is becoming increasingly important. In addition, there is a lack of reproducibility of the research results. With the presented open-source architecture, we aim to address these two topics. Therefore, we discuss the advantages and disadvantages of various existing tools from different sub-fields within robotics. Requirements for an architecture can be derived from this overview of the literature, which 1) supports interdisciplinary research, 2) allows reproducibility of the research, and 3) is accessible to other researchers in the field of HRI. With our architecture, we tackle these requirements by providing a <jats:italic>Graphical User Interface</jats:italic> which explains the robot behavior and allows introspection into the current state of the dialog. Additionally, it offers controlling possibilities to easily conduct <jats:italic>Wizard of Oz</jats:italic> studies. To achieve transparency, the dialog is modeled explicitly, and the robot behavior can be configured. Furthermore, the modular architecture offers an interface for external features and sensors and is expandable to new robots and modalities.</jats:p>}},
  author       = {{Groß, André and Schütze, Christian and Brandt, Mara and Wrede, Britta and Richter, Birte}},
  issn         = {{2296-9144}},
  journal      = {{Frontiers in Robotics and AI}},
  keywords     = {{Artificial Intelligence, Computer Science Applications}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{RISE: an open-source architecture for interdisciplinary and reproducible human–robot interaction research}}},
  doi          = {{10.3389/frobt.2023.1245501}},
  volume       = {{10}},
  year         = {{2023}},
}

@article{48946,
  abstract     = {{inhalt Der verlässliche Betrieb von technischen Produkten wird zunehmend durch bewusste Angriffe bedroht. Vollständige Sicherheit ist dabei nicht möglich, durchschlagende Angriffe sind unvermeidbar (Assume Breach). Dies erfordert einen Paradigmenwechsel in der sicherheitsgerechten Entwicklung mechatronischer und cyber-physischer Systeme hin zu Defense-in-Depth. Systeme müssen so ausgelegt werden, dass sie auch bei gezielten Angriffen möglichst hohe Zuverlässigkeit und Sicherheit gewährleisten. Der hier beschriebene Lösungsansatz erweitert das Systemmodell um Angriffsszenarien und Verteidigungslinien. Diese werden am Beispiel eines industriellen Schließsystems zur Anlagensicherheit erläutert. Entwickler werden sensibilisiert, Angriffe systematisch zu berücksichtigen und interdisziplinär Verteidigungselemente gegenüber Bedrohungen und Angriffen zu spezifizieren.}},
  author       = {{Gräßler, Iris and Bodden, Eric and Wiechel, Dominik and Pottebaum, Jens}},
  issn         = {{0720-5953}},
  journal      = {{Konstruktion}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, General Materials Science, Theoretical Computer Science}},
  number       = {{11-12}},
  pages        = {{60--65}},
  publisher    = {{VDI Fachmedien GmbH and Co. KG}},
  title        = {{{Defense-in-Depth als neues Paradigma der sicherheitsgerechten Produktentwicklung: interdisziplinäre, bedrohungsbewusste und lösungsorientierte Security}}},
  doi          = {{10.37544/0720-5953-2023-11-12-60}},
  volume       = {{75}},
  year         = {{2023}},
}

@article{50150,
  abstract     = {{<jats:p>Covalent peptidomimetic protease inhibitors have gained a lot of attention in drug development in recent years. They are designed to covalently bind the catalytically active amino acids through electrophilic groups called warheads. Covalent inhibition has an advantage in terms of pharmacodynamic properties but can also bear toxicity risks due to non-selective off-target protein binding. Therefore, the right combination of a reactive warhead with a well-suited peptidomimetic sequence is of great importance. Herein, the selectivities of well-known warheads combined with peptidomimetic sequences suited for five different proteases were investigated, highlighting the impact of both structure parts (warhead and peptidomimetic sequence) for affinity and selectivity. Molecular docking gave insights into the predicted binding modes of the inhibitors inside the binding pockets of the different enzymes. Moreover, the warheads were investigated by NMR and LC-MS reactivity assays against serine/threonine and cysteine nucleophile models, as well as by quantum mechanics simulations.</jats:p>}},
  author       = {{Müller, Patrick and Meta, Mergim and Meidner, Jan Laurenz and Schwickert, Marvin and Meyr, Jessica and Schwickert, Kevin and Kersten, Christian and Zimmer, Collin and Hammerschmidt, Stefan Josef and Frey, Ariane and Lahu, Albin and de la Hoz-Rodríguez, Sergio and Agost-Beltrán, Laura and Rodríguez, Santiago and Diemer, Kira and Neumann, Wilhelm and Gonzàlez, Florenci V. and Engels, Bernd and Schirmeister, Tanja}},
  issn         = {{1422-0067}},
  journal      = {{International Journal of Molecular Sciences}},
  keywords     = {{Inorganic Chemistry, Organic Chemistry, Physical and Theoretical Chemistry, Computer Science Applications, Spectroscopy, Molecular Biology, General Medicine, Catalysis}},
  number       = {{8}},
  publisher    = {{MDPI AG}},
  title        = {{{Investigation of the Compatibility between Warheads and Peptidomimetic Sequences of Protease Inhibitors—A Comprehensive Reactivity and Selectivity Study}}},
  doi          = {{10.3390/ijms24087226}},
  volume       = {{24}},
  year         = {{2023}},
}

@article{50458,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Consider a set of jobs connected to a directed acyclic task graph with a fixed source and sink. The edges of this graph model precedence constraints and the jobs have to be scheduled with respect to those. We introduce the server cloud scheduling problem, in which the jobs have to be processed either on a single local machine or on one of infinitely many cloud machines. For each job, processing times both on the server and in the cloud are given. Furthermore, for each edge in the task graph, a communication delay is included in the input and has to be taken into account if one of the two jobs is scheduled on the server and the other in the cloud. The server processes jobs sequentially, whereas the cloud can serve as many as needed in parallel, but induces costs. We consider both makespan and cost minimization. The main results are an FPTAS for the makespan objective for graphs with a constant source and sink dividing cut and strong hardness for the case with unit processing times and delays.</jats:p>}},
  author       = {{Maack, Marten and Meyer auf der Heide, Friedhelm and Pukrop, Simon}},
  issn         = {{0178-4617}},
  journal      = {{Algorithmica}},
  keywords     = {{Applied Mathematics, Computer Science Applications, General Computer Science}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Server Cloud Scheduling}}},
  doi          = {{10.1007/s00453-023-01189-x}},
  year         = {{2023}},
}

@article{51357,
  author       = {{Steffen, Eckhard and Wolf, Isaak Hieronymus}},
  issn         = {{0012-365X}},
  journal      = {{Discrete Mathematics}},
  keywords     = {{Discrete Mathematics and Combinatorics, Theoretical Computer Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{Rotation r-graphs}}},
  doi          = {{10.1016/j.disc.2023.113457}},
  year         = {{2023}},
}

@article{51371,
  abstract     = {{<jats:p>In this paper, we investigate the effect of distractions and hesitations as a scaffolding strategy. Recent research points to the potential beneficial effects of a speaker’s hesitations on the listeners’ comprehension of utterances, although results from studies on this issue indicate that humans do not make strategic use of them. The role of hesitations and their communicative function in human-human interaction is a much-discussed topic in current research. To better understand the underlying cognitive processes, we developed a human–robot interaction (HRI) setup that allows the measurement of the electroencephalogram (EEG) signals of a human participant while interacting with a robot. We thereby address the research question of whether we find effects on single-trial EEG based on the distraction and the corresponding robot’s hesitation scaffolding strategy. To carry out the experiments, we leverage our LabLinking method, which enables interdisciplinary joint research between remote labs. This study could not have been conducted without LabLinking, as the two involved labs needed to combine their individual expertise and equipment to achieve the goal together. The results of our study indicate that the EEG correlates in the distracted condition are different from the baseline condition without distractions. Furthermore, we could differentiate the EEG correlates of distraction with and without a hesitation scaffolding strategy. This proof-of-concept study shows that LabLinking makes it possible to conduct collaborative HRI studies in remote laboratories and lays the first foundation for more in-depth research into robotic scaffolding strategies.</jats:p>}},
  author       = {{Richter, Birte and Putze, Felix and Ivucic, Gabriel and Brandt, Mara and Schütze, Christian and Reisenhofer, Rafael and Wrede, Britta and Schultz, Tanja}},
  issn         = {{2414-4088}},
  journal      = {{Multimodal Technologies and Interaction}},
  keywords     = {{Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Neuroscience (miscellaneous)}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  title        = {{{EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study}}},
  doi          = {{10.3390/mti7040037}},
  volume       = {{7}},
  year         = {{2023}},
}

@article{47551,
  author       = {{Hochhaus, Thorben and Bruns, Bastian and Grünewald, Marcus and Riese, Julia}},
  issn         = {{0098-1354}},
  journal      = {{Computers & Chemical Engineering}},
  keywords     = {{Computer Science Applications, General Chemical Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Optimal scheduling of a large-scale power-to-ammonia process: Effects of parameter optimization on the indirect demand response potential}}},
  doi          = {{10.1016/j.compchemeng.2023.108132}},
  volume       = {{170}},
  year         = {{2023}},
}

@article{53261,
  author       = {{Soleymani, Mohammad and Santamaria, Ignacio and Jorswieck, Eduard and Clerckx, Bruno}},
  issn         = {{1536-1276}},
  journal      = {{IEEE Transactions on Wireless Communications}},
  keywords     = {{Applied Mathematics, Electrical and Electronic Engineering, Computer Science Applications}},
  pages        = {{1--1}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Optimization of Rate-Splitting Multiple Access in Beyond Diagonal RIS-assisted URLLC Systems}}},
  doi          = {{10.1109/twc.2023.3324190}},
  year         = {{2023}},
}

@article{53263,
  author       = {{Soleymani, Mohammad and Santamaria, Ignacio and Jorswieck, Eduard A.}},
  issn         = {{2169-3536}},
  journal      = {{IEEE Access}},
  keywords     = {{General Engineering, General Materials Science, General Computer Science, Electrical and Electronic Engineering}},
  pages        = {{70833--70852}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Spectral and Energy Efficiency Maximization of MISO STAR-RIS-Assisted URLLC Systems}}},
  doi          = {{10.1109/access.2023.3294092}},
  volume       = {{11}},
  year         = {{2023}},
}

@article{53301,
  author       = {{Vieluf, Solveig and Hasija, Tanuj and Kuschel, Maurice and Reinsberger, Claus and Loddenkemper, Tobias}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  keywords     = {{Artificial Intelligence, Computer Science Applications, General Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Developing a deep canonical correlation-based technique for seizure prediction}}},
  doi          = {{10.1016/j.eswa.2023.120986}},
  volume       = {{234}},
  year         = {{2023}},
}

@article{53220,
  author       = {{Tavana, Madjid and Khalili Nasr, Arash and Ahmadabadi, Alireza Barati and Amiri, Alireza Shamekhi and Mina, Hassan}},
  issn         = {{2542-6605}},
  journal      = {{Internet of Things}},
  keywords     = {{Management of Technology and Innovation, Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Engineering (miscellaneous), Information Systems, Computer Science (miscellaneous), Software}},
  publisher    = {{Elsevier BV}},
  title        = {{{An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks}}},
  doi          = {{10.1016/j.iot.2023.100786}},
  volume       = {{22}},
  year         = {{2023}},
}