@inbook{65084,
  author       = {{Buhl, Heike M. and Vollmer, Anna-Lisa and Alami, Rachid and Booshehri, Meisam and Främling, Kary}},
  booktitle    = {{Social explainable AI}},
  editor       = {{Rohlfing, Katharina J. and Främling, Kary and Lim, Brian and Alpsancar, Suzana and Thommes, Kisten}},
  pages        = {{269--295}},
  publisher    = {{Springer}},
  title        = {{{Models of the situation, the explanandum, and the interaction partner}}},
  doi          = {{https://doi.org/10.1007/978-981-96-5290-7_14}},
  year         = {{2026}},
}

@inbook{65083,
  author       = {{Buhl, Heike M. and Wrede, Britta and Fisher, Josephine Beryl and Matarese, Marco}},
  booktitle    = {{Social Explainable AI}},
  editor       = {{Rohlfing, Katharina J. and Främling, Kary and Lim, Brian and Alpsancar, Suzana and Thommes, Kirsten}},
  pages        = {{247--267}},
  publisher    = {{Springer}},
  title        = {{{Adaptation}}},
  doi          = {{https://doi.org/10.1007/978-981-96-5290-7_13}},
  year         = {{2026}},
}

@article{65099,
  author       = {{Weber, Daniel and Schmies, Dominik and Lange, Jarren H. and Schenke, Maximilian and Wallscheid, Oliver}},
  issn         = {{2169-3536}},
  journal      = {{IEEE Access}},
  pages        = {{38517--38535}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Optimal Control of Voltage-Forming Grid Inverters by Model Predictive Control and Reinforcement Learning}}},
  doi          = {{10.1109/access.2026.3670948}},
  volume       = {{14}},
  year         = {{2026}},
}

@article{65098,
  author       = {{Weber, Daniel and Lange, Jarren and Wallscheid, Oliver}},
  issn         = {{2687-9735}},
  journal      = {{IEEE Journal of Emerging and Selected Topics in Industrial Electronics}},
  pages        = {{1--12}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Reinforcement Learning-Based Control of Voltage-Forming Grid Inverters With Arbitrary Loads}}},
  doi          = {{10.1109/jestie.2026.3654784}},
  year         = {{2026}},
}

@article{65104,
  author       = {{Hermelingmeier, Lucas and Beule, Felix and Teutenberg, Dominik and Meschut, Gerson}},
  issn         = {{0143-7496}},
  journal      = {{International Journal of Adhesion and Adhesives}},
  publisher    = {{Elsevier BV}},
  title        = {{{Comparison of fixture-based and manual fiber integration in adhesive joints: Effects on strain signal quality}}},
  doi          = {{10.1016/j.ijadhadh.2026.104319}},
  volume       = {{149}},
  year         = {{2026}},
}

@article{65094,
  abstract     = {{<jats:p>
                    The development of practical sensors for optical coherence tomography (OCT) with undetected photons requires miniaturization via integration. To be practical, these sensors must exhibit a large spectral bandwidth and a high brightness, which are linked to a high axial resolution and a sufficient signal-to-noise ratio, respectively. Here, we combine these requirements in a scheme for OCT measurements with undetected photons based on nonlinear
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                    waveguides. We investigate the performance benchmarks of the commonly used SU(1,1) scheme in comparison to an induced-coherence scheme and find that the latter is actually better suited when implementing measurements with undetected photons in integrated systems. In both schemes, we perform pump-gain optimization and OCT measurements with undetected photons with an axial resolution as low as
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                    .
                  </jats:p>}},
  author       = {{Roeder, Franz and Pollmann, René and Quiring, Viktor and Eigner, Christof and Brecht, Benjamin and Silberhorn, Christine}},
  issn         = {{2331-7019}},
  journal      = {{Physical Review Applied}},
  number       = {{3}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Toward integrated sensors for optimized optical coherence tomography with undetected photons}}},
  doi          = {{10.1103/cwsx-42c4}},
  volume       = {{25}},
  year         = {{2026}},
}

@article{65096,
  abstract     = {{<jats:p>
                    Precise measurements of both the arrival time and carrier frequency of light pulses are essential for time–frequency-encoded quantum technologies. Quantum mechanics, however, imposes fundamental limits on the simultaneous determination of these quantities. In this work, we derive and experimentally verify the quantum uncertainty bounds governing joint time–frequency measurements. We show that when detection is restricted to finite time windows, the problem is naturally described by a quantum rotor, rendering the commonly used Heisenberg uncertainty relation inapplicable. We further propose an optimal detection scheme that saturates these fundamental limits. By sampling the
                    <jats:italic toggle="yes">Q</jats:italic>
                    -function, we demonstrate the reconstruction of the Wigner function beyond the harmonic oscillator. Using an experimental implementation based on a quantum pulse gate, we confirm that the proposed scheme approaches the ultimate quantum limit for simultaneous time–frequency measurements. These results provide a framework for joint time–frequency detection with direct implications for precision measurements and quantum information processing.
                  </jats:p>}},
  author       = {{Folge, Patrick Fabian and Serino, Laura Maria and Mišta, Ladislav and Brecht, Benjamin and Silberhorn, Christine and Řeháček, Jaroslav and Hradil, Zdeněk}},
  issn         = {{2334-2536}},
  journal      = {{Optica}},
  number       = {{3}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{Quantum-limited detection of the arrival time and the carrier frequency of time-dependent signals}}},
  doi          = {{10.1364/optica.579459}},
  volume       = {{13}},
  year         = {{2026}},
}

@article{65108,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>Lithographic surface patterning is a cornerstone of modern materials and device fabrication. Although the available lithography techniques are constantly being advanced to push the feature sizes down to the few-nanometer scale, such developments are associated with many technological and economic challenges. Combining established top-down lithography with bottom-up self-assembly strategies has the potential to overcome those challenges and enable the manipulation of matter with molecular precision. One of the most exciting approaches in this regard is to harness the programmability of DNA self-assembly to create precise DNA nanostructure masks to be used in the lithographic patterning of diverse substrates. DNA nanotechnology has provided us with a versatile toolbox for the high-yield synthesis of 2D and 3D nanostructures with complex, user-defined shapes at unprecedented molecular accuracy. Consequently, the last decade has seen intense research efforts aimed at transferring such DNA nanostructure shapes into functional organic and inorganic materials and we have now arrived at a point where sophisticated molecular lithography approaches utilize DNA nanostructure masks for the fabrication of plasmonic surfaces for metamaterials and sensing applications. This review summarizes how the spatial information of such DNA nanostructure masks can be transferred into various organic and inorganic materials through selective etching and deposition steps. The review also discusses recent developments toward all-purpose molecular lithography schemes and highlights promising extensions of the discussed methods toward new materials systems and application fields.</jats:p>}},
  author       = {{Keller, Adrian Clemens and Linko, Veikko}},
  issn         = {{0022-3727}},
  journal      = {{Journal of Physics D: Applied Physics}},
  publisher    = {{IOP Publishing}},
  title        = {{{Molecular lithography with DNA nanostructures: Methods and applications}}},
  doi          = {{10.1088/1361-6463/ae5667}},
  year         = {{2026}},
}

@article{63451,
  abstract     = {{<jats:p>Superconducting nanowire single-photon detectors (SNSPDs) can enable photon-number resolution (PNR) based on accurate measurements of the detector’s response time to few-photon optical pulses. In this work, we investigate the impact of the optical pulse shape and duration on the accuracy of this method. We find that Gaussian temporal pulse shapes yield cleaner arrival-time histograms and, thus, more accurate PNR, compared to bandpass-filtered pulses of equal bandwidth. For low system jitter and an optical pulse duration comparable to the other jitter contributions, photon numbers can be discriminated in our system with a commercial SNSPD. At 60 ps optical pulse duration, photon-number discrimination is significantly reduced. Furthermore, we highlight the importance of using the correct arrival-time histogram model when analyzing photon-number assignment. Using exponentially modified Gaussian distributions, instead of the commonly used Gaussian distributions, we can more accurately determine photon-number misidentification probabilities. Finally, we reconstruct the positive operator-valued measures of the detector, revealing sharp features that indicate the intrinsic PNR capabilities.</jats:p>}},
  author       = {{Schapeler, Timon and Mischke, Isabell and Schlue, Fabian and Stefszky, Michael and Brecht, Benjamin and Silberhorn, Christine and Bartley, Tim}},
  issn         = {{2835-0103}},
  journal      = {{APL Quantum}},
  number       = {{1}},
  publisher    = {{AIP Publishing}},
  title        = {{{Practical considerations for assignment of photon numbers with SNSPDs}}},
  doi          = {{10.1063/5.0304127}},
  volume       = {{3}},
  year         = {{2026}},
}

@article{65095,
  abstract     = {{<jats:p>
                    We provide experimental validation of tight entropic uncertainty relations for the Shannon entropies of observables with mutually unbiased eigenstates in high dimensions. In particular, we address the cases of dimensions
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                    , 4, and 5 and consider from 2 to
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                    mutually unbiased bases. The experiment is based on pulsed frequency bins measured with a multioutput quantum pulse gate, which can perform projective measurements on a complete high-dimensional basis in the time-frequency domain. Our results fit the theoretical predictions: the bound on the sum of the entropies is never violated and is saturated by the states that minimize the uncertainty relations.
                  </jats:p>}},
  author       = {{Serino, Laura Maria and Chesi, Giovanni and Brecht, Benjamin and Maccone, Lorenzo and Macchiavello, Chiara and Silberhorn, Christine}},
  issn         = {{2469-9926}},
  journal      = {{Physical Review A}},
  number       = {{3}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Experimental entropic uncertainty relations in dimensions three to five}}},
  doi          = {{10.1103/f6c4-jtlc}},
  volume       = {{113}},
  year         = {{2026}},
}

@inproceedings{64914,
  abstract     = {{We investigate how verbal and nonverbal linguistic features, exhibited by speakers and listeners in dialogue, can contribute to predicting the listener's state of understanding in explanatory interactions on a moment-by-moment basis. Specifically, we examine three linguistic cues related to cognitive load and hypothesised to correlate with listener understanding: the information value (operationalised with surprisal) and syntactic complexity of the speaker's utterances, and the variation in the listener's interactive gaze behaviour. Based on statistical analyses of the MUNDEX corpus of face-to-face dialogic board game explanations, we find that individual cues vary with the listener's level of understanding. Listener states (‘Understanding’, ‘Partial Understanding’, ‘Non-Understanding’ and ‘Misunderstanding’) were self-annotated by the listeners using a retrospective video-recall method. The results of a subsequent classification experiment, involving two off-the-shelf classifiers and a fine-tuned German BERT-based multimodal classifier, demonstrate that prediction of these four states of understanding is generally possible and improves when the three linguistic cues are considered alongside textual features.}},
  author       = {{Wang, Yu and Türk, Olcay and Grimminger, Angela and Buschmeier, Hendrik}},
  booktitle    = {{Proceedings of the 15th Biennial Language Resources and Evaluation Conference}},
  location     = {{Palma, Mallorca, Spain}},
  publisher    = {{ELRA}},
  title        = {{{Predicting states of understanding in explanatory interactions using cognitive load-related linguistic cues}}},
  doi          = {{10.48550/arXiv.2603.20079}},
  year         = {{2026}},
}

@article{65139,
  author       = {{Jabr, Wael and Gutt, Dominik and Neumann, Jürgen and Kundisch, Dennis}},
  journal      = {{Information Systems and e-Business Management}},
  title        = {{{Updating at the Expense of Demand? The Case of Platform Apps}}},
  year         = {{2026}},
}

@article{65153,
  author       = {{Butzhammer, Lorenz}},
  issn         = {{0141-6359}},
  journal      = {{Precision Engineering}},
  pages        = {{377--400}},
  publisher    = {{Elsevier BV}},
  title        = {{{Conversion between detector- and rotary-table-related misalignment parameterisations for unified projection-matrix-based geometry calibration in dimensional X-ray computed tomography}}},
  doi          = {{10.1016/j.precisioneng.2026.03.015}},
  volume       = {{100}},
  year         = {{2026}},
}

@article{63721,
  abstract     = {{<jats:p>Defect engineering offers an effective route to tailor the local coordination environment, gas transport and excited-state processes in metal-organic frameworks (MOFs). We establish a quantitative structure-property relationship linking defect-modulated porosity...</jats:p>}},
  author       = {{Zhao, Zhenyu and Tiemann, Michael}},
  issn         = {{2050-7526}},
  journal      = {{Journal of Materials Chemistry C}},
  pages        = {{4743--4752}},
  publisher    = {{Royal Society of Chemistry (RSC)}},
  title        = {{{Defect Structure-Performance Correlation in Eu³⁺@UiO-66: Design of Coordination Sites for Rapid Optical O₂ Sensing}}},
  doi          = {{10.1039/d5tc04319k}},
  volume       = {{14}},
  year         = {{2026}},
}

@article{65105,
  author       = {{zur Heiden, Philipp and Halimeh, Haya and Hansmeier, Philipp and Vorbohle, Christian and Althaus, Maike and Beverungen, Daniel and Kundisch, Dennis and Müller, Oliver}},
  journal      = {{Communications of the Association for Information Systems}},
  title        = {{{Data Spaces for Heterogeneous Data Ecosystems – Findings from a Design Study in the Cultural Sector}}},
  year         = {{2026}},
}

@inproceedings{65178,
  abstract     = {{Large intermediate results can cause join queries to run unexpectedly long. This problem is particularly common for analytical queries, which aggregate data over many tables to produce a comparatively small final output, and queries on graph data, where intermediate results blow up quickly. Recent work inspired by Yannakakis’ algorithm approaches this by modifying the query engine to avoid materializing unnecessary tuples. However, this requires significant changes to the core of the system, which is not feasible in many situations such as cloud environments or proprietary systems.
In this work, we propose a flexible approach for optimizing long-running join queries from the outside of the DBMS. Rewriting-based realizations of Yannakakis’ algorithm suffer from inherent overhead due to the creation of intermediate tables. Thus, we present an approach for detecting and targeting queries which would benefit from a Yannakakis-style optimization. We introduce a new benchmark combining 5 standard benchmarks and augmenting them with additional instances, which provides a sufficient size and diversity for a machine learning based solution. On PostgreSQL, DuckDB and SparkSQL, slowdowns on queries where the rewriting is counterproductive are mostly avoided, as opposed to a naïve application of the rewriting, and we observe significant improvements in end-to-end runtimes over standard query execution and unconditional rewriting.}},
  author       = {{Böhm, Daniela and Gottlob, Georg and Lanzinger, Matthias and Longo, Davide Mario and Okulmus, Cem and Pichler, Reinhard and Selzer, Alexander}},
  booktitle    = {{Proceedings of the 28th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2026)}},
  keywords     = {{Join Queries, Acyclic Queries, Query Processing}},
  title        = {{{Selective Use of Yannakakis’ Algorithm for Consistent Performance Gains}}},
  year         = {{2026}},
}

@article{65179,
  author       = {{Fuchs, Christian}},
  journal      = {{tripleC: Communication, Capitalism & Critique}},
  number       = {{1}},
  pages        = {{54--72}},
  title        = {{{Reason and Communication: Jürgen Habermas’s Legacy for Media and Communication Studies}}},
  doi          = {{10.31269/7112an90}},
  volume       = {{24}},
  year         = {{2026}},
}

@techreport{65180,
  author       = {{Terfloth, Lutz and Buhl, Heike M. and Lohmer, Vivien and Schaffer, Michael and Kern, Frederike and Schulte, Carsten}},
  title        = {{{Bridging the Dual Nature: How Integrated Explanations Enhance Understanding of Technical Artifacts}}},
  year         = {{2026}},
}

@unpublished{61151,
  abstract     = {{In this paper, we discuss the application of retrospective video recall for the assessment of cognitive processes in explanatory interactions, such as understanding and mental models. Our purpose is to reflect on the benefits and limitations of video recall compared to another self-report method, ‘thinking-aloud’. To do so, we reveal empirical results from the application of video recall in three interdisciplinary research projects that applied the method for the qualitative and quantitative assessment of cognitive and behavioral phenomena in everyday explanations. In all three projects, video recall was applied as a post-hoc procedure following the recording of dyadic face-to-face explanations of board games. The design of the video recall procedure differed between individual projects because they pursued different research objectives – that is the investigation of (1) an interlocutor's multimodal signals of understanding, (2) the change in assumptions about an interlocutor's dispositional and situational knowledge, and (3) the differentiated assessment of an interlocutor's developing understanding of domain knowledge aspects by distinguishing between mechanistic and functional explanatory stances. By discussing the benefits and the limitations of each procedure, this article provides critical reflections on video recall as a versatile research method applied for the analysis of human multimodal behavior in interaction and cognitive processing.}},
  author       = {{Lazarov, Stefan Teodorov and Schaffer, Michael and Gladow, Viviane and Buschmeier, Hendrik and Buhl, Heike M. and Grimminger, Angela}},
  pages        = {{29}},
  title        = {{{Retrospective video recall for analyzing cognitive processes in naturalistic explanations}}},
  year         = {{2026}},
}

@article{65182,
  abstract     = {{<jats:p>The aggregation of rating metrics in reputation systems is crucial for mitigating information overload by condensing customer rating distributions into singular valence scores. While platforms typically employ technical aggregation functions, such as the arithmetic mean to capture product quality, it remains unclear whether these functions align with customers' innate aggregation patterns. To address this knowledge gap, we designed a controlled economic decision experiment to elicit customers' aggregation principles by analyzing their product ranking decisions and contrasting these with various reference functions. Our findings indicate that, on average, customers aggregate rating information in accordance with the arithmetic mean. However, a granular analysis at the individual level reveals significant heterogeneity in aggregation behavior, with a substantial cluster exhibiting binary patterns that focus equally on negative (1-2 star) and positive (4-5 star) ratings. Additional clusters concentrate on negative feedback, particularly 1-star ratings or 1-2 star ratings collectively. Notably, these inherent aggregation patterns exhibit stability across variations in numerical information presentation and are not significantly influenced by individual characteristics, such as online shopping experience, risk attitudes, or demographics. These findings suggest that while the arithmetic mean captures average consumer behavior, platforms could benefit from offering customizable aggregation options to better cater to diverse user preferences for processing rating distributions. By doing so, platforms can enhance the effectiveness of their reputation systems and improve the overall quality of decision-making for consumers.</jats:p>}},
  author       = {{van Straaten, Dirk and Mir Djawadi, Behnud and Melnikov, Vitalik and Hüllermeier, Eyke and Fahr, René}},
  journal      = {{SSRN Electronic Journal}},
  publisher    = {{Elsevier BV}},
  title        = {{{Aggregation Processes in Customer Rating Systems - Insights from an Economic Decision Experiment}}},
  doi          = {{http://dx.doi.org/10.2139/ssrn.6201258}},
  year         = {{2026}},
}

