@article{67258,
  author       = {{Bürgel, Christoph}},
  journal      = {{Der Fremdsprachliche Unterricht Französisch}},
  title        = {{{Lexiko-Grammatik, Der Fremdsprachliche Unterricht Spanisch, Heft 94}}},
  year         = {{2026}},
}

@inbook{67238,
  author       = {{Varga, Eva}},
  booktitle    = {{Demokratie im gesellschaftlichen Wandel. Kulturwissenschaftliche Perspektiven.}},
  editor       = {{Corall, Niklas and Schmidt, Rebecca}},
  title        = {{{(erscheint Dez. 2026). Wie hört sich Demokratie an? Eine soziolinguistische und didaktische Perspektive auf Demokratie aus der Wahrnehmung von Kindern  }}},
  year         = {{2026}},
}

@article{67240,
  author       = {{Varga, Eva}},
  journal      = {{PhiN}},
  title        = {{{(erscheint 2026/2027) Kinderdiskurse und ihre Traditionen. Eine linguistische sowie elementar- und primarpädagogische Perspektive auf Diskurstraditionen.}}},
  year         = {{2026}},
}

@article{61377,
  author       = {{Schneider, Martin and Hemsen, Paul and Kundisch, Dennis}},
  journal      = {{management revue - Socio-Economic Studies, Special Issue “Digital Transformation of Work”.}},
  number       = {{3}},
  pages        = {{57906}},
  publisher    = {{Nomos Verlag}},
  title        = {{{Who are the Actively Participating Crowdworkers? A Qualitative Comparative Analysis of a German Text Creation PlatformSocio-Economic Studies, }}},
  doi          = {{10.31083/MRev57906}},
  volume       = {{37}},
  year         = {{2026}},
}

@inproceedings{65796,
  abstract     = {{The decarbonisation of industrial heat supply requires a realistic assessment of how waste heat can contribute to factory-level energy systems and where applicable, to external heat networks. This paper analyses temperature-specific waste heat potentials in automotive factories, distinguishing between vehicle assembly and component production. Waste heat sources are classified according to their integration feasibility, differentiating between directly usable heat and lower-temperature heat requiring upgrading via heat pumps. Using real-world operational data from eight automotive factories, waste heat potentials are quantified relative to site-specific heat demand. The results show that vehicle assembly factories exhibit relatively homogeneous shares of directly usable waste heat, while indirectly usable potentials vary strongly across sites, particularly in component manufacturing. To capture temporal utilisation constraints, a time-resolved case study is conducted for one vehicle assembly factory, combining hourly waste heat availability, internal heat demand and the load of an external district heating network. The dynamic analysis indicates that a substantial share of available waste heat can be utilised internally over the year, including periods of full internal heat coverage, while only limited surpluses remain available for external use. Overall, the findings underline the importance of factory-level, time-resolved analyses for identifying realistically utilisable waste heat shares and for supporting site-specific planning of waste heat integration under realistic constraints, thereby supporting the decarbonisation of industrial and urban thermal energy systems.}},
  author       = {{Berendes, Manuel and Dehning, Patrick and Schlüter, Alexander}},
  booktitle    = {{International Sustainable Energy Conference}},
  editor       = {{Fink, Christian and Brunner, Christoph}},
  title        = {{{Waste Heat Utilisation in Automotive Factories}}},
  doi          = {{https://doi.org/10.52825/isec.v2i}},
  year         = {{2026}},
}

@unpublished{64871,
  author       = {{Rahangdale, Praful}},
  title        = {{{Drinfeld correspondence in infinite dimensions}}},
  year         = {{2026}},
}

@phdthesis{67280,
  abstract     = {{<jats:p>Typische Prüfungsformate des bildungswissenschaftlichen Lehramtsstudiums berücksichtigen den performativen Bereich von Kompetenz bislang nur unzureichend. In der vorliegenden Arbeit wird diese Lücke durch die Entwicklung und Validierung einer rollenspielbasierten Simulation (robS/RobS) adressiert, die als summatives Prüfungsformat zur Erfassung und Bewertung der Beratungskompetenz von Lehramtsstudierenden konzipiert worden ist. Ziel der robS ist es, die performative Ebene von Beratungskompetenz unter komplexitätsreduzierten, aber praxisnahen Bedingungen sichtbar und bewertbar zu machen. Hierzu führen Lehramtsstudierende im Rahmen der robS in standardisierten Gesprächssituationen Beratungsgespräche mit Schüler*innen und Eltern, die von Schauspieler*innen verkörpert werden. Im Zuge einer argumentationsbasierten Validierung wurde die robS entlang unterschiedlicher Testgütekriterien evaluiert. Die Ergebnisse verdeutlichen, dass die robS eine differenzierte und hinreichend reliable Bewertung der gezeigten Beratungsperformanz ermöglicht. Offen bleiben Fragen zur externen Validität und Interpretierbarkeit der Beratungskompetenz sowie zum Zusammenhang zwischen dem dispositionalen und performativen Bereich von Kompetenz. Insgesamt wird mit der vorliegenden Arbeit ein empirisch fundierter Beitrag zur Entwicklung eines innovativen Prüfungsformats geleistet, das als Prototyp für eine stärkere Performanzorientierung im Lehramtsstudium beitragen kann.</jats:p>}},
  author       = {{Wotschel, Philipp}},
  isbn         = {{9783832561444}},
  keywords     = {{Lehrkräfteausbildung, Schulische Beratung, Handlungsorientierung, Performanztest, OSTE}},
  publisher    = {{Logos Verlag Berlin}},
  title        = {{{Entwicklung und Validierung einer rollenspielbasierten Simulation (RobS) – Ein Prüfungsformat zur Erfassung von Beratungskompetenz im bildungswissenschaftlichen Lehramtsstudium}}},
  doi          = {{10.30819/6144}},
  year         = {{2026}},
}

@article{67276,
  abstract     = {{Despite the pivotal role of tax legislation for the economy and society, empirical research on how interest groups influence German tax legislation remains scarce. This study addresses this gap by examining international corporate tax policy. Based on 94 statements from eleven legislative procedures (2013- 2023), it analyzes the factors determining whether demands from various interest groups during expert hearings in the Finance Committee are adopted into final legislation. Methodologically, the paper combines qualitative content analysis with a quantitative probit regression. While descriptive data and initial analyses suggest varying success rates among expert groups, these differences disappear when controlling for the specific direction of the proposed changes. No significant group influence remains. The findings suggest that in the later stages of the legislative process, lawmakers select external expertise primarily based on substantive, technical criteria rather than systematically favoring specific actors. Thus, the study contributes to the political economy of taxation by highlighting the importance of technical content over pure actor power.}},
  author       = {{Zimmermann, Thomas}},
  journal      = {{Junior Management Science}},
  number       = {{3}},
  pages        = {{671--691}},
  title        = {{{Der Einfluss unterschiedlicher Expertengruppen auf die ertragsteuerliche Gesetzgebung in Deutschland: Eine Analyse von schriftlichen Stellungnahmen}}},
  volume       = {{11}},
  year         = {{2026}},
}

@article{67282,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>
                    Diet impacts cardiovascular disease risk, but the association across diabetes subtypes is unclear. We thus aimed to assess the association between dietary factors and estimated 10-year cardiovascular disease risk across diabetes subtypes in the German Diabetes Study (GDS). Participants with recent-onset diabetes and from the 5-year follow-up examination were combined (n=635, mean age 47.5±12.9 years, 60% male) and classified into diabetes subtypes. Subtypes with prevalence &gt;10% were included in cross-sectional analyses: severe autoimmune diabetes (39%), mild obesity-related diabetes (31%), and mild age-related diabetes (30%). Carbohydrate quality parameters and adherence to dietary patterns were assessed from food frequency questionnaires. Differences in associations between these dietary factors and 10-year cardiovascular risk estimated by SCORE2-Diabetes across subtypes were examined using multivariable-adjusted linear regression models including an interaction term. In people with severe autoimmune diabetes, the overall and the healthful plant-based diet index were associated with lower estimated 10-year cardiovascular risk (ß [95% CI] -6.8 [-12.1; -1.2] and -8.8% [-14.0; -3.2] per 1-standard deviation increases, respectively), while these associations were not evident among the remaining two subtypes (p-value for interaction between subtypes &lt;0.05). Our findings suggest subtype-specific associations of plant-based dietary patterns with estimated cardiovascular risk, warranting further research from longitudinal and intervention studies.
                    <jats:bold>Trial registration:</jats:bold>
                    Clinicaltrials.gov: NCT01055093
                  </jats:p>}},
  author       = {{Weber, Katharina S. and Schlesinger, Sabrina and Lang, Alexander and Goletzke, Janina and Övermöhle, Cara and Strathmann, Eike A. and Straßburger, Klaus and Singh, Nitika and Zaharia, Oana-Patricia and Trenkamp, Sandra and Wagner, Robert and Lieb, Wolfgang and Buyken, Anette and Roden, Michael and Herder, Christian and Al-Hasani, H. and Belgardt, B. and Bönhof, G.J. and Geerling, G. and Icks, A. and Jandeleit-Dahm, K. and Kuß, O. and Lammert, E. and Schlesinger, S. and Schrauwen-Hinderling, V. and Szendroedi, J. and Trenkamp, Sandra}},
  issn         = {{2045-2322}},
  journal      = {{Scientific Reports}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Differential associations of dietary patterns with estimated 10-year cardiovascular risk in diabetes subtypes}}},
  doi          = {{10.1038/s41598-026-57026-y}},
  volume       = {{16}},
  year         = {{2026}},
}

@inproceedings{67288,
  abstract     = {{Despite recent progress in Large Language Model (LLM) research, LLMs remain sensitive to prompt paraphrases,
e.g., due to sycophancy, framing, or negation blindness, yielding surprising and contradictory outputs. This paper
investigates whether such vulnerabilities can be exploited to construct adversarial attacks against LLMs. Using
a DeepSeek-V4-Flash model, we automatically rephrase an input prompt using sycophancy, framing, and/or
negations to leave it semantically unchanged but elicit a contradicting output of a victim LLM, in this case a
Llama-3.1-8B-Instruct model. On 49 controversial topics, we show that negation attacks can flip the model’s
original stance in roughly 80% of cases, whereas sycophancy and framing yield moderate success rates around
25% and 40%, respectively. The attacker LLM was also quite accurate in determining attack success (91.3%
accuracy compared to annotations of two independent human annotators). Overall, the results suggest that
human-interpretable paraphrase attacks, such as negations, may be a viable method to illustrate the vulnerabilities
of LLMs.}},
  author       = {{Li, Jiaao and Großkreutz, Matthis and Peters, Tobias Martin and Scharlau, Ingrid and Paaßen, Benjamin}},
  booktitle    = {{Proceedings of the 1st Workshop on Explainability, Transparency, and Safety (ExTraSafe) at }},
  editor       = {{Paaßen, Benjamin}},
  location     = {{Bremen, Germany}},
  title        = {{{LLM Inconsistency under Paraphrase Attacks}}},
  year         = {{2026}},
}

@article{67283,
  author       = {{Della Corte, Karen A. and Buyken, Anette and La Vecchia, Carlo and Vanginkel, Marie-Ann and Salas-Salvadó, Jordi and Riccardi, Gabriele and Trichopoulou, Antonia and Slavin, Joanne and Ceriello, Antonio and Bulló, Mònica and Risérus, Ulf and Ellis, Peter R. and Astrup, Arne and Barclay, Alan and Sievenpiper, John L. and Chiavaroli, Laura and Liu, Simin and Kendall, Cyril W.C. and Livesey, Geoffrey and Jenkins, David J.A. and Brand-Miller, Jennie C. and Willett, Walter C. and Augustin, Livia S.A.}},
  issn         = {{2161-8313}},
  journal      = {{Advances in Nutrition}},
  publisher    = {{Elsevier BV}},
  title        = {{{Toward International Dietary Guidance: A Food Guide Pyramid for Human and Planetary Health}}},
  doi          = {{10.1016/j.advnut.2026.100738}},
  year         = {{2026}},
}

@inproceedings{67287,
  author       = {{Illian, Marvin and Khalili, Ramin and de A. Rocha, Antonio A. and Wang, Lin}},
  booktitle    = {{2026 IEEE 51st Conference on Local Computer Networks (LCN)}},
  publisher    = {{IEEE}},
  title        = {{{Cooperative Multi-Agent Reinforcement Learning for Idle-Mode Cell (Re)Selection}}},
  doi          = {{10.1109/lcn67947.2026.11660770}},
  year         = {{2026}},
}

@article{67294,
  abstract     = {{<jats:title>ABSTRACT</jats:title>
                  <jats:p>Hybrid modeling aims to combine physical and data‐driven models to increase simulation accuracy without losing physical interpretability. In the context of dynamic mechanical systems, this enables the compensation of modeling inaccuracies that arise from simplifications, missing effects, or uncertain parameters. In this work, a hybrid model is used as a starting point, in which the discrepancy between simulation and measurement is learned and compensated by a data‐driven correction element. To integrate such models into commercial multibody simulation software like Adams or Simpack, the formulation is adapted to operate directly on the force level. This allows implementation via standard co‐simulation interfaces without modifying the system's differential equations or solvers. The method is demonstrated using a three‐mass oscillator with synthetic measurement data. Results show that the coupled simulation works reliably and that the hybrid model significantly improves accuracy while remaining compatible with established industrial simulation workflows.</jats:p>}},
  author       = {{Wohlleben, Meike Claudia and Linneweber, Jill Mercedes and Schütte, Jan and Sextro, Walter}},
  issn         = {{1617-7061}},
  journal      = {{Proceedings in Applied Mathematics and Mechanics}},
  number       = {{4}},
  publisher    = {{Wiley}},
  title        = {{{Enabling Hybrid Modeling in Commercial MBS Software: A Force‐Level Approach}}},
  doi          = {{10.1002/pamm.70215}},
  volume       = {{26}},
  year         = {{2026}},
}

@inbook{62907,
  author       = {{Fröhleke, Christoph and Habig, Sebastian and Fechner, Sabine}},
  booktitle    = {{Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen Fachkräften}},
  editor       = {{Vogelsang, Christoph and Grotegut, Lea and Bruns, Julia and Riese, Josef  and Fechner, Sabine}},
  publisher    = {{Waxmann}},
  title        = {{{Erfassung handlungsorientierter Kompetenzen im Chemiepraktikum - Inwiefern kann die Performanz von Lehramtsstudierenden bei Prozessentscheidungen diagnostiziert werden?}}},
  year         = {{2026}},
}

@unpublished{67292,
  abstract     = {{Classical shadows are an influential framework for compressing copies of a given quantum state $ρ$ into classical data $S$, enabling many properties of $ρ$ to be predicted from relatively few copies. In this work, we study two natural questions involving shadows: (1) Given $S$, when can one efficiently verify that $S$ came from a genuine $n$-qubit state? This is called the Classical Shadow Validity (CSV) problem, introduced by Karaiskos, Rudolph, Meyer, Eisert, and Gharibian [ICALP 2026]. (2) Given $S$ that allows one to capture 2-local properties of $ρ$, can one fake or spoof a shadow $S'$ which predicts 3-local properties of some state? For (1), we show CSV is efficiently solvable for permutation-invariant shadows, QMA-hard for real, fermionic, and bosonic shadows, and both coNP-hard and QMA-hard when the observable family consists of all $n$-qubit Pauli strings. A result of independent interest along the way is a new upper bound qc-$Σ_2$ $\subseteq$ $\mathrm{P}^{\mathrm{PP}}$, where qc-$Σ_2$ is a quantum analogue of the second level of the polynomial hierarchy in which the first proof is quantum. For (2), we show intractability: Given the 2-local marginals $S$ of a quantum state $ρ$, estimating the 3-local marginals of $ρ$ is intractable unless QCMA $\subseteq$ BPP, even if the state $ρ$ is the unique state consistent with $S$.}},
  author       = {{Karaiskos, Georgios and Raza, Asad and Rudolph, Dorian and Koh, Dax Enshan and Gharibian, Sevag}},
  booktitle    = {{arXiv:2609.40107}},
  title        = {{{Verification Complexity and Extension of Classical Shadows}}},
  year         = {{2026}},
}

@unpublished{67293,
  abstract     = {{Low-energy estimation and state preparation for general $k$-local Hamiltonians are fundamental challenges in quantum complexity theory. Buhrman et al.~ [BGLGST, PRL 2025] recently broke the natural Grover bound $O^\ast(2^{n/2})$ for both problems, with the improvement depending on the relative accuracy $\varepsilon$ and the locality $k$. In this work, we present faster exponential quantum algorithms for these problems, where the binary entropy function governs the runtime exponent. For sufficiently small $\varepsilon/k$, our algorithms improve the exponent by a factor of $\log(k/\varepsilon)$ over [BGLGST, PRL 2025]. Our main technical result is an entropy-governed lower bound on the dimension of the Hamiltonian's low-energy subspace, obtained by depolarizing its ground state. For fixed $k$, this bound is optimal up to constant factors in the exponent. The same framework yields tighter bounds for Heisenberg, $XY$, and Ising models on arbitrary interaction graphs.}},
  author       = {{Gharibian, Sevag and Le Gall, Francois and Mataraarachchi, Ranitha and Tamaki, Suguru}},
  title        = {{{Near-Optimal Bounds on the Density of Low-Energy States of $k$-Local Hamiltonians and Faster Quantum Algorithms}}},
  year         = {{2026}},
}

@unpublished{67291,
  author       = {{Rudolph, Dorian and Motamedi, Arsalan and Sambrani, Dhruva and Reza Naeij, Hamid and Chabaud, Ulysse and Gharibian, Sevag and Mehraban, Saeed}},
  title        = {{{A physical and universal model of bosonic computations with Solovay-Kitaev theorem}}},
  year         = {{2026}},
}

@article{51160,
  abstract     = {{We rigorously derive novel and sharp finite-data error bounds for highly
sample-efficient Extended Dynamic Mode Decomposition (EDMD) for both i.i.d. and
ergodic sampling. In particular, we show all results in a very general setting
removing most of the typically imposed assumptions such that, among others,
discrete- and continuous-time stochastic processes as well as nonlinear partial
differential equations are contained in the considered system class. Besides
showing an exponential rate for i.i.d. sampling, we prove, to the best of our
knowledge, the first superlinear convergence rates for ergodic sampling of
deterministic systems. We verify sharpness of the derived error bounds by
conducting numerical simulations for highly-complex applications from molecular
dynamics and chaotic flame propagation.}},
  author       = {{Philipp, Friedrich M. and Schaller, Manuel and Boshoff, Septimus and Peitz, Sebastian and Nüske, Feliks and Worthmann, Karl}},
  journal      = {{Physica D: Nonlinear Phenomena}},
  title        = {{{Variance representations and convergence rates for data-driven approximations of Koopman operators}}},
  doi          = {{10.1016/j.physd.2026.135223}},
  volume       = {{492}},
  year         = {{2026}},
}

@article{53858,
  author       = {{Akhter, Junaid and Fährmann, Paul David and Sonntag, Konstantin and Peitz, Sebastian}},
  journal      = {{SIAM Review}},
  number       = {{3}},
  pages        = {{656--683}},
  publisher    = {{SIAM}},
  title        = {{{Common pitfalls to avoid while using multiobjective optimization in machine learning}}},
  doi          = {{10.1137/24M1658875}},
  volume       = {{68}},
  year         = {{2026}},
}

@inproceedings{67308,
  abstract     = {{Optimizing large-scale multibody systems is a challenging task, particularly in the presence of multiple conflicting criteria. To prevent high simulation costs, surrogate models constructed from a small number of expensive model evaluations are very popular. However, it is difficult to ensure the optimality of the obtained solutions using a single pre-computed model. We present a back-and-forth approach between surrogate modeling and multi-objective optimization, and we compare different strategies for optimization, sampling, and surrogate modeling, to identify the most promising approach in terms of computational efficiency and solution quality.}},
  author       = {{Amakor, Augustina Chidinma and Berkemeier, Manuel B. and Wohlleben, Meike Claudia and Sextro, Walter and Peitz, Sebastian}},
  booktitle    = {{Artificial Neural Networks and Machine Learning – ICANN 2025}},
  editor       = {{Senn, Walter and Sanguineti, Marcello and Saudargiene, Ausra and Tetko, Igor V. and Villa, Alessandro E. P. and Jirsa, Viktor and Bengio, Yoshua}},
  isbn         = {{978-3-032-04555-3}},
  keywords     = {{own, own-conference}},
  pages        = {{251–262}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Surrogate-Assisted Multi-objective Design of Complex Multibody Systems}}},
  doi          = {{10.1007/978-3-032-04555-3_21}},
  year         = {{2026}},
}

