@article{29843,
  author       = {{Castenow, Jannik and Kling, Peter and Knollmann, Till and Meyer auf der Heide, Friedhelm}},
  issn         = {{0890-5401}},
  journal      = {{Information and Computation}},
  keywords     = {{Computational Theory and Mathematics, Computer Science Applications, Information Systems, Theoretical Computer Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{A Discrete and Continuous Study of the Max-Chain-Formation Problem}}},
  doi          = {{10.1016/j.ic.2022.104877}},
  year         = {{2022}},
}

@article{30209,
  abstract     = {{<jats:p>DNA origami technology enables the folding of DNA strands into complex nanoscale shapes whose properties and interactions with molecular species often deviate significantly from that of genomic DNA. Here, we investigate the salting-out of different DNA origami shapes by the kosmotropic salt ammonium sulfate that is routinely employed in protein precipitation. We find that centrifugation in the presence of 3 M ammonium sulfate results in notable precipitation of DNA origami nanostructures but not of double-stranded genomic DNA. The precipitated DNA origami nanostructures can be resuspended in ammonium sulfate-free buffer without apparent formation of aggregates or loss of structural integrity. Even though quasi-1D six-helix bundle DNA origami are slightly less susceptible toward salting-out than more compact DNA origami triangles and 24-helix bundles, precipitation and recovery yields appear to be mostly independent of DNA origami shape and superstructure. Exploiting the specificity of ammonium sulfate salting-out for DNA origami nanostructures, we further apply this method to separate DNA origami triangles from genomic DNA fragments in a complex mixture. Our results thus demonstrate the possibility of concentrating and purifying DNA origami nanostructures by ammonium sulfate-induced salting-out.</jats:p>}},
  author       = {{Hanke, Marcel and Hansen, Niklas and Chen, Ruiping and Grundmeier, Guido and Fahmy, Karim and Keller, Adrian}},
  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       = {{5}},
  pages        = {{2817}},
  publisher    = {{MDPI AG}},
  title        = {{{Salting-Out of DNA Origami Nanostructures by Ammonium Sulfate}}},
  doi          = {{10.3390/ijms23052817}},
  volume       = {{23}},
  year         = {{2022}},
}

@article{31844,
  abstract     = {{<jats:p>Encrypting data before sending it to the cloud ensures data confidentiality but requires the cloud to compute on encrypted data. Trusted execution environments, such as Intel SGX enclaves, promise to provide a secure environment in which data can be decrypted and then processed. However, vulnerabilities in the executed program give attackers ample opportunities to execute arbitrary code inside the enclave. This code can modify the dataflow of the program and leak secrets via SGX side channels. Fully homomorphic encryption would be an alternative to compute on encrypted data without data leaks. However, due to its high computational complexity, its applicability to general-purpose computing remains limited. Researchers have made several proposals for transforming programs to perform encrypted computations on less powerful encryption schemes. Yet current approaches do not support programs making control-flow decisions based on encrypted data.</jats:p>
          <jats:p>
            We introduce the concept of
            <jats:italic>dataflow authentication</jats:italic>
            (DFAuth) to enable such programs. DFAuth prevents an adversary from arbitrarily deviating from the dataflow of a program. Our technique hence offers protections against the side-channel attacks described previously. We implemented two flavors of DFAuth, a Java bytecode-to-bytecode compiler, and an SGX enclave running a small and program-independent trusted code base. We applied DFAuth to a neural network performing machine learning on sensitive medical data and a smart charging scheduler for electric vehicles. Our transformation yields a neural network with encrypted weights, which can be evaluated on encrypted inputs in
            <jats:inline-formula content-type="math/tex">
              <jats:tex-math notation="LaTeX" version="MathJax">\( 12.55 \,\mathrm{m}\mathrm{s} \)</jats:tex-math>
            </jats:inline-formula>
            . Our protected scheduler is capable of updating the encrypted charging plan in approximately 1.06 seconds.
          </jats:p>}},
  author       = {{Fischer, Andreas and Fuhry, Benny and Kußmaul, Jörn and Janneck, Jonas and Kerschbaum, Florian and Bodden, Eric}},
  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        = {{{Computation on Encrypted Data Using Dataflow Authentication}}},
  doi          = {{10.1145/3513005}},
  volume       = {{25}},
  year         = {{2022}},
}

@article{32266,
  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{32267,
  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{32589,
  abstract     = {{<jats:p>Guanidinium (Gdm) undergoes interactions with both hydrophilic and hydrophobic groups and, thus, is a highly potent denaturant of biomolecular structure. However, our molecular understanding of the interaction of Gdm with proteins and DNA is still rather limited. Here, we investigated the denaturation of DNA origami nanostructures by three Gdm salts, i.e., guanidinium chloride (GdmCl), guanidinium sulfate (Gdm2SO4), and guanidinium thiocyanate (GdmSCN), at different temperatures and in dependence of incubation time. Using DNA origami nanostructures as sensors that translate small molecular transitions into nanostructural changes, the denaturing effects of the Gdm salts were directly visualized by atomic force microscopy. GdmSCN was the most potent DNA denaturant, which caused complete DNA origami denaturation at 50 °C already at a concentration of 2 M. Under such harsh conditions, denaturation occurred within the first 15 min of Gdm exposure, whereas much slower kinetics were observed for the more weakly denaturing salt Gdm2SO4 at 25 °C. Lastly, we observed a novel non-monotonous temperature dependence of DNA origami denaturation in Gdm2SO4 with the fraction of intact nanostructures having an intermediate minimum at about 40 °C. Our results, thus, provide further insights into the highly complex Gdm–DNA interaction and underscore the importance of the counteranion species.</jats:p>}},
  author       = {{Hanke, Marcel and Hansen, Niklas and Tomm, Emilia and Grundmeier, Guido and Keller, Adrian}},
  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       = {{15}},
  pages        = {{8547}},
  publisher    = {{MDPI AG}},
  title        = {{{Time-Dependent DNA Origami Denaturation by Guanidinium Chloride, Guanidinium Sulfate, and Guanidinium Thiocyanate}}},
  doi          = {{10.3390/ijms23158547}},
  volume       = {{23}},
  year         = {{2022}},
}

@article{34223,
  abstract     = {{In this study, quasi-unidirectional continuous fiber reinforced thermoplastics (CFRTs) are joined with metal sheets via cold formed cylindrical, elliptical and polygonal pin structures which are directly pressed into the CFRT component after local infrared heating. In comparison to already available studies, the unique novelty is the use of non-rotational symmetric pin structures for the CFRT/metal hybrid joining. Thus, a variation in the fiber orientation in the CFRT component as well as a variation in the non-rotational symmetric pins’ orientation in relation to the sample orientation is conducted. The created samples are consequently mechanically tested via single lap shear experiments in a quasi-static state. Finally, the failure behavior of the single lap shear samples is investigated with the help of microscopic images and detailed photographs. In the single lap shear tests, it could be shown that non-rotational symmetric pin structures lead to an increase in maximum testing forces of up to 74% when compared to cylindrical pins. However, when normalized to the pin foot print related joint strength, only one polygonal pin variation showed increased joint strength in comparison to cylindrical pin structures. The investigation of the failure behavior showed two distinct failure modes. The first failure mode was failure of the CFRT component due to an exceedance of the maximum bearing strength of the pin-hole leading to significant damage in the CFRT component. The second failure mode was pin-deflection due to the applied testing load and a subsequent pin extraction from the CFRT component resulting in significantly less visible damage in the CFRT component. Generally, CFRT failure is more likely with a fiber orientation of 0° in relation to the load direction while pin extraction typically occurs with a fiber orientation of 90°. It is assumed that for future investigations, pin structures with an undercutting shape that creates an interlocking joint could counteract the tendency for pin-extraction and consequently lead to increased maximum joint strengths.}},
  author       = {{Popp, Julian and Römisch, David and Merklein, Marion and Drummer, Dietmar}},
  issn         = {{2076-3417}},
  journal      = {{Applied Sciences}},
  keywords     = {{Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science}},
  number       = {{10}},
  publisher    = {{MDPI AG}},
  title        = {{{Joining of CFRT/Steel Hybrid Parts via Direct Pressing of Cold Formed Non-Rotational Symmetric Pin Structures}}},
  doi          = {{10.3390/app12104962}},
  volume       = {{12}},
  year         = {{2022}},
}

@article{31479,
  author       = {{Baswana, Surender and Gupta, Shiv and Knollmann, Till}},
  issn         = {{0178-4617}},
  journal      = {{Algorithmica}},
  keywords     = {{Applied Mathematics, Computer Science Applications, General Computer Science}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Mincut Sensitivity Data Structures for the Insertion of an Edge}}},
  doi          = {{10.1007/s00453-022-00978-0}},
  year         = {{2022}},
}

@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{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{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{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{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}},
}

