@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}},
}

@article{53218,
  author       = {{Tavana, Madjid and Soltanifar, Mehdi and Santos-Arteaga, Francisco J. and Sharafi, Hamid}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  keywords     = {{Artificial Intelligence, Computer Science Applications, General Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Analytic hierarchy process and data envelopment analysis: A match made in heaven}}},
  doi          = {{10.1016/j.eswa.2023.119902}},
  volume       = {{223}},
  year         = {{2023}},
}

@article{53216,
  author       = {{Tavana, Madjid and Soltanifar, Mehdi and Santos-Arteaga, Francisco J.}},
  issn         = {{0254-5330}},
  journal      = {{Annals of Operations Research}},
  keywords     = {{Management Science and Operations Research, General Decision Sciences}},
  number       = {{2}},
  pages        = {{879--907}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Analytical hierarchy process: revolution and evolution}}},
  doi          = {{10.1007/s10479-021-04432-2}},
  volume       = {{326}},
  year         = {{2023}},
}

@article{53227,
  author       = {{Deveci, Muhammet and Pamucar, Dragan and Gokasar, Ilgin and Tavana, Madjid}},
  issn         = {{0273-1177}},
  journal      = {{Advances in Space Research}},
  keywords     = {{Space and Planetary Science, Aerospace Engineering, General Earth and Planetary Sciences, Atmospheric Science, Geophysics, Astronomy and Astrophysics}},
  number       = {{9}},
  pages        = {{3534--3551}},
  publisher    = {{Elsevier BV}},
  title        = {{{Spacecraft tracking control and synchronization: An assessment of conventional, unconventional, and combined methods}}},
  doi          = {{10.1016/j.asr.2022.07.056}},
  volume       = {{71}},
  year         = {{2023}},
}

@article{53223,
  author       = {{Dellnitz, Andreas and Tavana, Madjid and Banker, Rajiv}},
  issn         = {{0254-5330}},
  journal      = {{Annals of Operations Research}},
  keywords     = {{Management Science and Operations Research, General Decision Sciences}},
  number       = {{2}},
  pages        = {{661--690}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A novel median-based optimization model for eco-efficiency assessment in data envelopment analysis}}},
  doi          = {{10.1007/s10479-022-04937-4}},
  volume       = {{322}},
  year         = {{2023}},
}

@article{53225,
  author       = {{Hilbert, Markus and Dellnitz, Andreas and Kleine, Andreas and Tavana, Madjid}},
  issn         = {{0360-8352}},
  journal      = {{Computers & Industrial Engineering}},
  keywords     = {{General Engineering, General Computer Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{A novel indicator for sustainability in production planning using Center of Gravity-based assessment of Pareto fronts}}},
  doi          = {{10.1016/j.cie.2023.109618}},
  volume       = {{185}},
  year         = {{2023}},
}

@article{53541,
  author       = {{Robles-González, Antonio and Arias Cabarcos, Patricia and Parra-Arnau, Javier}},
  issn         = {{0167-4048}},
  journal      = {{Computers &amp; Security}},
  keywords     = {{Law, General Computer Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{Privacy-centered authentication: A new framework and analysis}}},
  doi          = {{10.1016/j.cose.2023.103353}},
  volume       = {{132}},
  year         = {{2023}},
}

@article{45604,
  author       = {{Steinhardt, Isabel and Mauermeister, Sylvi and Schmidt, Rebecca}},
  issn         = {{0023-8333}},
  journal      = {{Language Learning}},
  keywords     = {{Open Science, Open Science Practices, Cultural Change}},
  publisher    = {{Wiley}},
  title        = {{{Open Research Practices and Cultural Change: A Commentary on “(Why) Are Open Research Practices the Future for the Study of Language Learning?”}}},
  doi          = {{10.1111/lang.12583}},
  year         = {{2023}},
}

@article{47085,
  author       = {{Schubatzky, Thomas and Burde, Jan-Philipp and Große-Heilmann, Rike Isabel and Haagen-Schützenhöfer, Claudia and Riese, Josef and Weiler, David}},
  issn         = {{0360-1315}},
  journal      = {{Computers & Education}},
  keywords     = {{Education, General Computer Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{Predicting the development of digital media PCK/TPACK: The role of PCK, motivation to use digital media, interest in and previous experience with digital media}}},
  doi          = {{10.1016/j.compedu.2023.104900}},
  volume       = {{206}},
  year         = {{2023}},
}

@article{53356,
  author       = {{Terhörst, Philipp and Huber, Marco and Damer, Naser and Kirchbuchner, Florian and Raja, Kiran and Kuijper, Arjan}},
  issn         = {{2637-6407}},
  journal      = {{IEEE Transactions on Biometrics, Behavior, and Identity Science}},
  keywords     = {{Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Instrumentation}},
  number       = {{2}},
  pages        = {{288--297}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Pixel-Level Face Image Quality Assessment for Explainable Face Recognition}}},
  doi          = {{10.1109/tbiom.2023.3263186}},
  volume       = {{5}},
  year         = {{2023}},
}

@article{36834,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Increasing average temperatures and heat waves are having devasting impacts on human health and well-being but studies of heat impacts and how people adapt are rare and often confined to specific locations. In this study, we explore how analysis of conversations on social media can be used to understand how people feel about heat waves and how they respond. We collected global Twitter data over four months (from January to April 2022) using predefined hashtags about heat waves. Topic modelling identified five topics. The largest (one-third of all tweets) was related to sports events. The remaining two-thirds could be allocated to four topics connected to communication about climate-related heat or heat waves. Two of these were on the impacts of heat and heat waves (health impacts 20%; social impacts 16%), one was on extreme weather and climate change attribution (17%) and the last one was on perceptions and warning (13%). The number of tweets in each week corresponded well with major heat wave occurrences in Argentina, Australia, the USA and South Asia (India and Pakistan), indicating that people posting tweets were aware of the threat from heat and its impacts on the society. Among the words frequently used within the topic ‘Social impacts’ were ‘air-conditioning’ and ‘electricity’, suggesting links between coping strategies and financial pressure. Apart from analysing the content of tweets, new insights were also obtained from analysing how people engaged with Twitter tweets about heat or heat waves. We found that tweets posted early, and which were then shared by other influential Twitter users, were among the most popular. Finally, we found that the most popular tweets belonged to individual scientists or respected news outlets, with no evidence that misinformation about climate change-related heat is widespread.
</jats:p>}},
  author       = {{Zander, Kerstin K. and Rieskamp, Jonas and Mirbabaie, Milad and Alazab, Mamoun and Nguyen, Duy}},
  issn         = {{0921-030X}},
  journal      = {{Natural Hazards}},
  keywords     = {{Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Water Science and Technology}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Responses to heat waves: what can Twitter data tell us?}}},
  doi          = {{10.1007/s11069-023-05824-2}},
  year         = {{2023}},
}

@article{33447,
  author       = {{Julin, Sofia and Keller, Adrian and Linko, Veikko}},
  issn         = {{1043-1802}},
  journal      = {{Bioconjugate Chemistry}},
  keywords     = {{Organic Chemistry, Pharmaceutical Science, Pharmacology, Biomedical Engineering, Bioengineering, Biotechnology}},
  pages        = {{18--29}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Dynamics of DNA Origami Lattices}}},
  doi          = {{10.1021/acs.bioconjchem.2c00359}},
  volume       = {{34}},
  year         = {{2023}},
}

@article{35693,
  abstract     = {{<jats:p>In recent years, frustrated Lewis pairs have been widely used in small molecules activation and catalytic transformations. This graphic review is aimed to provide the fundamental understanding of frustrated Lewis pair reactivity and the exploitation thereof in catalytic reactions.</jats:p>}},
  author       = {{Zhou, Rundong and Tavandashti, Zoleykha and Paradies, Jan}},
  issn         = {{2509-9396}},
  journal      = {{SynOpen}},
  keywords     = {{Organic Chemistry, Materials Science (miscellaneous), Biomaterials, Catalysis}},
  publisher    = {{Georg Thieme Verlag KG}},
  title        = {{{Frustrated Lewis Pair Catalysed Reactions}}},
  doi          = {{10.1055/a-2005-5443}},
  year         = {{2023}},
}

@article{33947,
  author       = {{Castenow, Jannik and Harbig, Jonas and Jung, Daniel and Knollmann, Till and Meyer auf der Heide, Friedhelm}},
  issn         = {{0304-3975}},
  journal      = {{Theoretical Computer Science}},
  keywords     = {{General Computer Science, Theoretical Computer Science}},
  pages        = {{261--291}},
  publisher    = {{Elsevier BV}},
  title        = {{{Gathering a Euclidean Closed Chain of Robots in Linear Time and Improved Algorithms for Chain-Formation}}},
  doi          = {{10.1016/j.tcs.2022.10.031}},
  volume       = {{939}},
  year         = {{2023}},
}

@article{42636,
  abstract     = {{<jats:p> Laser additive manufacturing processes are used for the production of highly complex geometric structures due to their high geometric freedom. Additive manufacturing processes, in particular powder-based selective laser melting, are used to produce metallic additive manufactured components for the automotive and aerospace industries. Different materials are often joined together to realize sustainable lightweight construction. The production of such mixed construction joints is often realized using mechanical joining technology (e.g. self-piercing riveting). However, there is currently very little experience with the mechanical joining of metallic additive manufacturing components. Furthermore, there is insufficient knowledge about the effects that occur during the mechanical joining of additive manufacturing components. In this article, a method is presented to investigate the joinability of additively manufactured components with conventionally manufactured components using a numerical simulation of the self-piercing riveting process. For this purpose, the additive manufacturing materials are characterized experimentally, the simulation model is configured, and the joining process with additive manufacturing materials is represented in the numerical simulation. Furthermore, the influence of the building direction on the mechanical properties is shown using miniature tensile specimens. Besides the configuration of the simulation model, the influence of heat treatment on the self-piercing riveting process is presented. </jats:p>}},
  author       = {{Heyser, Per and Petker, Rudolf and Meschut, Gerson}},
  issn         = {{1464-4207}},
  journal      = {{Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications}},
  keywords     = {{Mechanical Engineering, General Materials Science}},
  publisher    = {{SAGE Publications}},
  title        = {{{Development of a numerical simulation model for self-piercing riveting of additive manufactured AlSi10Mg}}},
  doi          = {{10.1177/14644207231158213}},
  year         = {{2023}},
}

@article{37267,
  author       = {{Mistry, Aashutosh and Srinivasan, Venkat and Steinrück, Hans-Georg}},
  issn         = {{1614-6832}},
  journal      = {{Advanced Energy Materials}},
  keywords     = {{General Materials Science, Renewable Energy, Sustainability and the Environment}},
  pages        = {{2203690}},
  publisher    = {{Wiley}},
  title        = {{{Characterizing Ion Transport in Electrolytes via Concentration and Velocity Profiles}}},
  doi          = {{10.1002/aenm.202203690}},
  volume       = {{13}},
  year         = {{2023}},
}

@article{43094,
  abstract     = {{<jats:p />}},
  author       = {{Heck, Tamara and Steinhardt, Isabel and Rahal, Rima-Maria and Schubotz, Moritz and Scholl, Dominik and Behrens, Sarah}},
  issn         = {{2367-7163}},
  journal      = {{Research Ideas and Outcomes}},
  keywords     = {{Open Science}},
  publisher    = {{Pensoft Publishers}},
  title        = {{{Bootstrapping the Open Science culture: The fellowship approach}}},
  doi          = {{10.3897/rio.9.e103675}},
  volume       = {{9}},
  year         = {{2023}},
}

@article{44077,
  author       = {{Maack, Marten}},
  issn         = {{0167-6377}},
  journal      = {{Operations Research Letters}},
  keywords     = {{Applied Mathematics, Industrial and Manufacturing Engineering, Management Science and Operations Research, Software}},
  number       = {{3}},
  pages        = {{220--225}},
  publisher    = {{Elsevier BV}},
  title        = {{{Online load balancing on uniform machines with limited migration}}},
  doi          = {{10.1016/j.orl.2023.02.013}},
  volume       = {{51}},
  year         = {{2023}},
}

@article{43034,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>The accessibility to rheological parameters for concrete is becoming more and more relevant. This is mainly related to the constantly emerging challenges, such as not only the development of high-strength concretes is progressing very fast but also the simulation of the flow behaviour is of high importance. The main problem, however, is that the rheological characterisation of fresh concrete is not possible via commercial rheometers. The so-called concrete rheometers provide valuable relative values for comparing different concretes, but they cannot measure absolute values. Therefore, we developed an adaptive coaxial concrete rheometer (ACCR) that allows the measurement of fresh concrete with particles up to <jats:inline-formula>
                     <jats:alternatives>
                        <jats:inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="graphic/j_arh-2022-0140_eq_001.png" />
                        <m:math xmlns:m="http://www.w3.org/1998/Math/MathML">
                           <m:msub>
                              <m:mrow>
                                 <m:mi>d</m:mi>
                              </m:mrow>
                              <m:mrow>
                                 <m:mi mathvariant="normal">max</m:mi>
                              </m:mrow>
                           </m:msub>
                           <m:mo>=</m:mo>
                           <m:mn>5.5</m:mn>
                           <m:mspace width=".5em" />
                           <m:mi mathvariant="normal">mm</m:mi>
                        </m:math>
                        <jats:tex-math>{d}_{{\rm{\max }}}=5.5\hspace{.5em}{\rm{mm}}</jats:tex-math>
                     </jats:alternatives>
                  </jats:inline-formula>. The comparison of the ACCR with a commercial rheometer showed very good agreement for selected test materials (Newtonian fluid, shear thinning fluid, suspension, and yield stress fluid), so that self-compacting concrete was subsequently measured. Since these measurements showed a very high reproducibility, the rheological properties of the fresh concrete could be determined with high accuracy. The common flow models (Bingham (B), Herschel–Bulkley, modified Bingham (MB) models) were also tested for their applicability, with the Bingham and the modified Bingham model proving to be the best suitable ones.</jats:p>}},
  author       = {{Josch, Sebastian and Jesinghausen, Steffen and Schmid, Hans-Joachim}},
  issn         = {{1617-8106}},
  journal      = {{Applied Rheology}},
  keywords     = {{Condensed Matter Physics, General Materials Science}},
  number       = {{1}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Development of an adaptive coaxial concrete rheometer and rheological characterisation of fresh concrete}}},
  doi          = {{10.1515/arh-2022-0140}},
  volume       = {{33}},
  year         = {{2023}},
}

@article{44504,
  author       = {{Linko, Veikko and Keller, Adrian}},
  issn         = {{1613-6810}},
  journal      = {{Small}},
  keywords     = {{Biomaterials, Biotechnology, General Materials Science, General Chemistry}},
  publisher    = {{Wiley}},
  title        = {{{Stability of DNA Origami Nanostructures in Physiological Media: The Role of Molecular Interactions}}},
  doi          = {{10.1002/smll.202301935}},
  year         = {{2023}},
}

