@article{63512,
abstract = {{The state of the art shows that PBF-LB/M offers great potential for pressure-loaded parts, with significant weight reductions and simultaneous optimization of flow resistance. This study is aimed at applying existing calculation methods for pressure-loaded parts to additively manufactured pipe structures, considering the two materials EN AC-43000 (3.2381, AlSi10Mg) and AISI 316L (1.4404, X2CrNiMo17-12-2). For this purpose, systematic tensile tests are carried out for both materials. In addition, a statistical evaluation is performed to determine the design-relevant strength characteristics with a survival probability Ps of 97.5 % for both materials in the as-built and heat-treated condition.
Pipe specimens are manufactured, half of which are heat treated, geometrically measured and then subjected to a burst pressure test to experimentally determine the failure-critical internal pressure. These results are compared with calculated burst pressures. The calculations are based on the application-relevant methods identified in this study, considering the strength values determined for the respective material condition. This comparison is used to assess the suitability of the calculation methods for additively manufactured pipe structures, based on the materials investigated.}},
author = {{Koers, Thorsten and Magyar, Balázs and Bödger, Christian and Tröster, Thomas}},
issn = {{0308-0161}},
journal = {{International Journal of Pressure Vessels and Piping}},
keywords = {{PBF-LB/M, Pipe structures, Strength assessment, Burst pressure test, Geometrical deviations}},
publisher = {{Elsevier BV}},
title = {{{Analytical and experimental determination of the failure-critical pressure of pipe structures manufactured by PBF-LB/M}}},
doi = {{10.1016/j.ijpvp.2026.105753}},
year = {{2026}},
}
@article{63800,
abstract = {{In this contribution, we address the estimation of the frequency-dependent elastic parameters of polymers in the ultrasound range, which is formulated as an inverse problem. This inverse problem is implemented as a nonlinear regression-type optimization problem, in which the simulation signals are fitted to the measurement signals. These signals consist of displacement responses in waveguides, focusing on hollow cylindrical geometries to enhance the simulation efficiency. To accelerate the optimization and reduce the number of model evaluations and wait times, we propose two novel methods. First, we introduce an adaptation of the Levenberg–Marquardt method derived from a geometrical interpretation of the least-squares optimization problem. Second, we introduce an improved objective function based on the autocorrelated envelopes of the measurement and simulation signals. Given that this study primarily relies on simulation data to quantify optimization convergence, we aggregate the expected ranges of realistic material parameters and derive their distributions to ensure the reproducibility of optimizations with proper measurements. We demonstrate the effectiveness of our objective function modification and step adaptation for various materials with isotropic material symmetry by comparing them with the Broyden–Fletcher–Goldfarb–Shanno method. In all cases, our method reduces the total number of model evaluations, thereby shortening the time to identify the material parameters.}},
author = {{Itner, Dominik and Dreiling, Dmitrij and Gravenkamp, Hauke and Henning, Bernd and Birk, Carolin}},
issn = {{0888-3270}},
journal = {{Mechanical Systems and Signal Processing}},
keywords = {{Material parameter estimation, Waveguide, Nonlinear optimization, Inverse problem, Least squares}},
pages = {{113904}},
title = {{{A modified Levenberg–Marquardt method for estimating the elastic material parameters of polymer waveguides using residuals between autocorrelated frequency responses}}},
doi = {{https://doi.org/10.1016/j.ymssp.2026.113904}},
volume = {{247}},
year = {{2026}},
}
@proceedings{63860,
editor = {{Hogan, Aidan and Satoh, Ken and Dag, Hasan and Turhan, Anni-Yasmin and Roman, Dumitru and Soylu, Ahmet}},
isbn = {{978-3-032-08886-4}},
publisher = {{Springer}},
title = {{{Rules and Reasoning - 9th International Joint Conference, RuleML+RR 2025, Istanbul, Turkey, September 22-24, 2025, Proceedings}}},
doi = {{10.1007/978-3-032-08887-1}},
volume = {{16144}},
year = {{2026}},
}
@article{63881,
abstract = {{Abstract
The relationship between leptin levels and psychiatric disorders has been studied more extensively in adults than in children and adolescents. However, the results are conflicting. We investigated serum leptin levels in children and adolescents (11 to 18.9 years) with psychiatric disorders (
n
= 363). Absolute and relative (body-mass-index (BMI)-, sex- and pubertal-stage-adjusted z-scores using reference values of healthy children and adolescents) leptin levels of different patient groups according to diagnosis were compared. The association between leptin levels and depression (Beck Depression Inventory-II) and anxiety (Child Behavior Checklist and Youth Self Report) was examined using regression analysis. Leptin z-scores were higher in patients with psychiatric disorders than in healthy controls (median 1.50,
p
< .001). While global tests suggested differences in leptin z-scores between patients with different psychiatric disorders, these differences could not be attributed to diagnosis groups in post-hoc pairwise comparisons. Absolute leptin levels differed between psychiatric disorders (
p
< .001). Patients with anorexia nervosa (AN) had the lowest levels, and patients with mood disorders had higher leptin levels than patients with mental disorders other than mood disorders, anxiety or AN. Neither absolute nor relative leptin levels were related to depressive or anxiety symptoms in regression models adjusted for sex and BMI. Significantly elevated BMI-, sex- and puberty-stage-adjusted leptin levels were observed in children and adolescents with psychiatric disorders compared to a reference sample. Further controlled studies are needed to confirm and explain this finding. No relationship was found between absolute or relative leptin levels and symptoms of depression or anxiety.
}},
author = {{Albers, Nicola and Antel, Jochen and Föcker, Manuel and Libuda, Lars and Bühlmeier, Judith and Hirtz, Raphael and Seitz, Jochen and Hinney, Anke and Hebebrand, Johannes and Peters, Triinu}},
issn = {{1018-8827}},
journal = {{European Child & Adolescent Psychiatry}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Children and adolescents with psychiatric disorders have high relative leptin levels upon adjustment for sex, BMI, and pubertal status}}},
doi = {{10.1007/s00787-025-02921-4}},
year = {{2026}},
}
@article{63880,
author = {{Knoll-Pientka, Nadja and Schils, Dorina and Mantwill, Katrin and Dinse, Hannah and Skoda, Eva-Maria and Bäuerle, Alexander and Teufel, Martin and Libuda, Lars}},
issn = {{2055-0928}},
journal = {{BMC Nutrition}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Adherence to dietary recommendations according to the General Dietary Behavior Inventory (GDBI) and its association with bioelectrical impedance analysis (BIA) parameters among young, healthy and normal weight women}}},
doi = {{10.1186/s40795-026-01260-0}},
year = {{2026}},
}
@inproceedings{63890,
abstract = {{The computation of highly contracted electron repulsion integrals (ERIs) is essential to achieve quantum accuracy in atomistic simulations based on quantum mechanics. Its growing computational demands make energy efficiency a critical concern. Recent studies demonstrate FPGAs’ superior performance and energy efficiency for computing primitive ERIs, but the computation of highly contracted ERIs introduces significant algorithmic complexity and new design challenges for FPGA acceleration.In this work, we present SORCERI, the first streaming overlay acceleration for highly contracted ERI computations on FPGAs. SORCERI introduces a novel streaming Rys computing unit to calculate roots and weights of Rys polynomials on-chip, and a streaming contraction unit for the contraction of primitive ERIs. This shifts the design bottleneck from limited CPU-FPGA communication bandwidth to available FPGA computation resources. To address practical deployment challenges for a large number of quartet classes, we design three streaming overlays, together with an efficient memory transpose optimization, to cover the 21 most commonly used quartet classes in realistic atomistic simulations. To address the new computation constraints, we use flexible calculation stages with a free-running streaming architecture to achieve high DSP utilization and good timing closure.Experiments demonstrate that SORCERI achieves an average 5.96x, 1.99x, and 1.16x better performance per watt than libint on a 64-core AMD EPYC 7713 CPU, libintx on an Nvidia A40 GPU, and SERI, the prior best-performing FPGA design for primitive ERIs. Furthermore, SORCERI reaches a peak throughput of 44.11 GERIS (109 ERIs per second) that is 1.52x, 1.13x, and 1.93x greater than libint, libintx and SERI, respectively. SORCERI will be released soon at https://github.com/SFU-HiAccel/SORCERI.}},
author = {{Stachura, Philip and Wu, Xin and Plessl, Christian and Fang, Zhenman}},
booktitle = {{Proceedings of the 2026 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA '26)}},
isbn = {{9798400720796}},
keywords = {{electron repulsion integrals, quantum chemistry, atomistic simulation, overlay architecture, fpga acceleration}},
pages = {{224--234}},
publisher = {{Association for Computing Machinery}},
title = {{{SORCERI: Streaming Overlay Acceleration for Highly Contracted Electron Repulsion Integral Computations in Quantum Chemistry}}},
doi = {{10.1145/3748173.3779198}},
year = {{2026}},
}
@inproceedings{64129,
abstract = {{Selecting scan angles such that surface segments are aligned with straight X-ray paths (i.e., rays are tangential to the surface and therefore perpendicular to the local surface normal) is known to produce sharper transitions of those surface segments in the reconstructed volume. This enhances dimensional accuracy in sparse-view computed tomography (CT). However, existing approaches offer no direct means to exploit this criterion for automatic scan-angle optimization. We propose a method that uses a virtual representation of the CT setup, including an STL surface model of the inspected part, to automatically identify taskspecific scan angles. Using elementary vector calculus, the algorithm determines projection directions that generate tangential X-rays for targeted surface segments. To support different levels of geometric complexity, we introduce two variants of the angle-selection procedure. The methods were experimentally validated on two objects with distinct absorption and geometric characteristics. For a steel gauge block, employing the minimum number of task-specific projections required for surface-data completeness substantially outperformed a conventional high-projection scan. For a geometrically more complex test object, surface-related errors were still reduced within the region of interest. The proposed approach – particularly suited for flat surface structures and not accounting for image-degrading factors other than cone-beam artifacts – shows promise for high-throughput dimensional metrology of mono-material parts.}},
author = {{Butzhammer, Lorenz and Braun, Matthias Robert Oskar and Herath, Colin and Hausotte, Tino}},
booktitle = {{e-Journal of Nondestructive Testing}},
issn = {{1435-4934}},
location = {{Linz}},
number = {{3}},
publisher = {{NDT.net GmbH & Co. KG}},
title = {{{Higher accuracy with fewer projections? Automated scan angle selection for dimensional Computed Tomography based on a simple data completeness measure for the part surface}}},
doi = {{10.58286/32560}},
volume = {{31}},
year = {{2026}},
}
@article{64159,
abstract = {{ABSTRACT
Separation processes, such as distillation and stripping, are highly energy‐intensive. Typically, energy is supplied indirectly via a reboiler, which is often associated with heat losses. We present a preliminary theoretical evaluation of a novel concept to supply energy directly inside the column using heatable structured packings. These packings can be produced by multi‐material 3D printing, resulting in a conductive inner layer and an insulating outer layer. Functioning as electric resistance heaters, these packings serve as heating elements. In this numerical study, we compared different scenarios of energy supply along the height of the column, including uniform distribution, applying a temperature profile, and using or omitting a reboiler.}},
author = {{Lutters, Nicole and Brüne, Sascha and Riese, Julia}},
issn = {{0009-286X}},
journal = {{Chemie Ingenieur Technik}},
publisher = {{Wiley}},
title = {{{Preliminary Numerical Evaluation of Directly Heated Structured Packings to be Used for Separation Processes}}},
doi = {{10.1002/cite.70076}},
year = {{2026}},
}
@article{64251,
abstract = {{ABSTRACT
Clinching is a widely adopted joining technique in the automotive industry, enabling the fabrication of lightweight structures from dissimilar sheet materials. Accurate prediction of the fatigue life of clinched joints is essential for ensuring structural safety and minimizing development costs. However, full 3D fatigue simulations over millions of cycles are computationally intensive due to the complexity of contact mechanics. This study introduces a 2D numerical model that circumvents direct contact modeling by applying a slip condition at the sheet interface, significantly reducing computational demands. A micro‐slip friction model is used to represent the mechanical interface behavior, while a two‐scale damage model captures the fatigue damage evolution. The model is validated against experimental data and used to investigate the influence of friction coefficient and tangential contact stiffness on fatigue life, highlighting its efficiency and predictive capability.}},
author = {{Chen, Chin and Hofmann, Martin and Wallmersperger, Thomas}},
issn = {{1617-7061}},
journal = {{PAMM}},
number = {{1}},
publisher = {{Wiley}},
title = {{{A 2D Approach to Predict the High‐Cycle Fatigue Life of Clinched Joints}}},
doi = {{10.1002/pamm.70035}},
volume = {{26}},
year = {{2026}},
}
@article{61523,
abstract = {{AbstractMetasurface holography offers a powerful approach for manipulating wavefronts at the nano and micro scale. Extensive research has been conducted to enhance the multiplexing capacity for diverse wavefronts. However, the independence of multiplexed channels is fundamentally restricted in techniques using single‐layer metasurfaces, resulting in unavoidable crosstalk and the need for post‐filtering of the output wavefronts. Here, a universal wavefront multiplexing concept is presented based on non‐injective transformation. By employing joint optimization on two metasurfaces, different channels can be independently designed without any constraints on the output wavefronts. To validate this approach, ultra‐compact orbital angular momentum (OAM) sorters are designed. In these experiments, the output beams from different channels can be independently mapped to 2D positions with high fineness. In another application of wavefront‐multiplexed holography, 10‐channel multiplexing is experimentally achieved with minimal crosstalk and without the need for post‐processing. These results demonstrate the independence between channels enabled by the non‐injective transformation in the method. The precise wavefront control and high multiplexing capacity underscore its potential for scalable wavefront manipulation devices.}},
author = {{Jin, Xiao and Zentgraf, Thomas}},
issn = {{0935-9648}},
journal = {{Advanced Materials}},
publisher = {{Wiley}},
title = {{{Independent Wavefront Multiplexing with Metasurfaces via Non‐Injective Transformation}}},
doi = {{10.1002/adma.202511823}},
volume = {{38}},
year = {{2026}},
}
@article{65094,
abstract = {{
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
Ti
:
Li
Nb
O
3
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
28
μ
m
.
}},
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{65108,
abstract = {{Abstract
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.}},
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}},
}
@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{65266,
abstract = {{ABSTRACT
This work is concerned with the modeling of a cold‐box sand, a composition of sand grains and a resin binder. To this end, experiments are performed, which show the following characteristics: localization phenomena in the form of a shear band, softening behavior in the force‐displacement curve, and asymmetric behavior for compression and tension. To model this complex material behavior, a micromorphic continuum is used. In the present contribution, we focus on the linear‐elastic regime and demonstrate the identifiability of micromorphic material parameters under deliberately induced inhomogeneous deformation states. In addition to the degrees of freedom of a classical continuum, the micromorphic model has additional degrees of freedom, introduced here in a phenomenological sense to represent kinematically enriched deformation modes associated with the granular microstructure. Accordingly, the micromorphic fields are not interpreted as a separate physical scale (e.g., “binder” vs. “grains”), but as an effective continuum description at the specimen scale. This contribution addresses parameter identification for a micromorphic model of cold‐box sand, with a clear separation between homogeneous deformation states governing classical elastic parameters and inhomogeneous states required to activate and identify micromorphic length‐scale parameters. The main challenge lies in identifying the micro material parameters. To determine these, the corresponding gradient terms in the constitutive formulation must be triggered via properly tuned experiments. Micro‐parameter identification is demonstrated using synthetic data generated from a boundary‐value problem with inhomogeneous displacement fields. The chosen benchmark enables controlled activation of gradient terms and thereby renders optimization‐based identification of micromorphic parameters feasible. The synthetic example is deliberately chosen to assess feasibility and identifiability under controlled conditions, thereby isolating micromorphic identifiability aspects from experimental uncertainties. The novelty of the contribution lies in explicitly linking micromorphic parameter identifiability to kinematic inhomogeneity, and in demonstrating this link within a tractable forward– inverse setting for a linear‐elastic micromorphic continuum.}},
author = {{Börger, Alexander and Mahnken, Rolf and Caylak, Ismail and Ostwald, Richard}},
issn = {{1617-7061}},
journal = {{Proceedings in Applied Mathematics and Mechanics}},
number = {{2}},
publisher = {{Wiley}},
title = {{{Aspects of Parameter Identification for a Micromorphic Continuum applied to a Cold‐Box Sand}}},
doi = {{10.1002/pamm.70093}},
volume = {{26}},
year = {{2026}},
}
@article{61152,
abstract = {{While neural network quantization effectively reduces the cost of matrix multiplications, aggressive quantization can expose non-matrix-multiply operations as significant performance and resource bottlenecks on embedded systems. Addressing such bottlenecks requires a comprehensive approach to tailoring the precision across operations in the inference computation. To this end, we introduce scaled-integer range analysis (SIRA), a static analysis technique employing interval arithmetic to determine the range, scale, and bias for tensors in quantized neural networks. We show how this information can be exploited to reduce the resource footprint of FPGA dataflow neural network accelerators via tailored bitwidth adaptation for accumulators and downstream operations, aggregation of scales and biases, and conversion of consecutive elementwise operations to thresholding operations. We integrate SIRA-driven optimizations into the open-source FINN framework, then evaluate their effectiveness across a range of quantized neural network workloads and compare implementation alternatives for non-matrix-multiply operations. We demonstrate an average reduction of 17\% for LUTs, 66\% for DSPs, and 22\% for accumulator bitwidths with SIRA optimizations, providing detailed benchmark analysis and analytical models to guide the implementation style for non-matrix layers. Finally, we open-source SIRA to facilitate community exploration of its benefits across various applications and hardware platforms.}},
author = {{Umuroglu, Yaman and Berganski, Christoph and Jentzsch, Felix and Danilowicz, Michal and Kryjak, Tomasz and Bezaitis, Charalampos and Sjalander, Magnus and Colbert, Ian and Preusser, Thomas and Petri-Koenig, Jakoba and Blott, Michaela}},
issn = {{1936-7406}},
journal = {{ACM Transactions on Reconfigurable Technology and Systems}},
title = {{{SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators}}},
doi = {{10.1145/3807510}},
year = {{2026}},
}
@inbook{65515,
abstract = {{Abstract This study explores the usability and onboarding process of a Mixed Reality (MR) application called PEARL, designed to prepare students for laboratory work. Originally developed for mobile Augmented Reality (mAR), PEARL was adapted for MR to offer a more immersive and intuitive experience through hand and gesture controls. Since many students lack experience with MR devices, a user-friendly onboarding system is essential. The study aims to redesign PEARL’s user interface and onboarding experience, evaluating how intuitive interaction elements impact usability. First, a literature review will identify existing usability guidelines for MR applications, which will guide the redesign of the interface. This new version will then be tested with students through a user study. Feedback will be collected via an online survey to assess the onboarding and user experience, and the findings will be used to refine the design further. The expected outcome is an improved onboarding process and interface, making PEARL accessible even for MR novices, enhancing their ability to interact with 3D objects in a real-world setting. Ultimately, the study aims to provide best practices for developing intuitive MR interfaces and effective onboarding experiences, especially in educational contexts.}},
author = {{Alptekin, Mesut and Münstermann, Daniel and Temmen, Katrin}},
booktitle = {{Lecture Notes in Networks and Systems}},
isbn = {{9783032073181}},
issn = {{2367-3370}},
keywords = {{Meta Quest 3, Augmented Reality, Mixed Reality, PEARL, Electrical Engineering, Laboratory Training, Onboarding, User Experience, User Interface, Heuristics}},
location = {{Santiago, Chile}},
pages = {{199--211}},
publisher = {{Springer Nature Switzerland}},
title = {{{Designing and Evaluating the Usability and Onboarding for a Mixed-Reality Application: A Case Study with PEARL (Paderborn Electrical Engineering AR Laboratory) and Meta Quest 3}}},
doi = {{10.1007/978-3-032-07319-8_19}},
volume = {{2}},
year = {{2026}},
}
@article{61441,
abstract = {{Das hochschuldidaktische Konzept des Forschenden Lernens gilt als zentrales Element der universitären Lehrkräftebildung in Deutschland und ist in fast allen Bundesländern Bestandteil des Praxissemesters. Damit einhergehende Erwartungen im Hinblick auf den Professionalisierungsprozess von Lehrkräften fokussieren insbesondere die Vermittlung einer forschenden Grundhaltung, die auf eine nicht-wissenschaftsferne Berufsausübung abzielt. Wir fassen die forschende Grundhaltung als Professionsüberzeugung, die aus einer kognitiven, affektiven und handlungsbezogenen Komponente besteht und untersuchen die Komponenten im Zusammenspiel sowie im Längsschnitt.
Mittels teilstrukturierter Interviews mit 22 angehenden Lehrkräften im Referendariat und Berufseinstieg, die sich im Praxissemester mit Forschendem Lernen befasst haben, werden das Verständnis (kognitive Komponente) und die Bedeutsamkeit (affektive und handlungsbezogene Komponente) Forschenden Lernens in der jeweiligen Ausbildungs- bzw. Berufsphase erfragt. Die Daten werden inhaltsanalytisch sowie typenbildend ausgewertet, um das Verständnis und die Bedeutsamkeit in der jeweiligen Phase, längsschnittliche Entwicklungen sowie das Verhältnis von Verständnis und Bedeutsamkeit herauszuarbeiten. Die Befunde zeigen, dass die Verständnisse von Forschendem Lernen sowohl im Referendariat als auch im Berufseinstieg variieren. Zudem ist das Konzept – laut Schilderungen der Befragten – durchaus bedeutsam für ihre Lern- und Handlungspraxis, jedoch nicht für alle und in unterschiedlich ausgeprägter Form. Die Typenbildung verdeutlicht, dass die fehlende Bedeutsamkeit Forschenden Lernens mit Fehlkonzepten einhergeht und eine höhere Bedeutsamkeit erkennbar ist, wenn Adaptionsleistungen hinsichtlich des Konzepts vorgenommen werden. Insgesamt ist im Sinne der Auffassung als Professionsüberzeugung die Anbahnung einer forschenden Grundhaltung bei einigen Befragten erkennbar. Implikationen für eine künftige Hochschulbildung ergeben sich u. a. mit Blick auf die Unterstützung von Studierenden bei Adaptionsleistungen für die (jeweilige) Praxis.}},
author = {{Homt, Martina and Bloh, Bea and Wehde, Janis}},
issn = {{2190-6890}},
journal = {{Zeitschrift für Bildungsforschung}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Perspektiven angehender Lehrkräfte auf Forschendes Lernen – eine qualitative Längsschnittstudie im Referendariat und Berufseinstieg}}},
doi = {{10.1007/s35834-025-00506-4}},
year = {{2026}},
}
@inproceedings{65013,
author = {{Illian, Marvin and Khalili, Ramin and A. de A. Rocha, Antonio and Wang, Lin}},
booktitle = {{2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)}},
publisher = {{IFIP}},
title = {{{Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning}}},
year = {{2026}},
}
@article{45284,
author = {{Webersen, Yvonne and Daud, Fardien}},
journal = {{MNU Journal}},
title = {{{Was steckt drin? Blackboxen aus dem 3D-Drucker für den Mechanikunterricht der Oberstufe}}},
year = {{2026}},
}
@inproceedings{66007,
abstract = {{The reduction of CO2-emissions in the chemical industry is essential to meet European climate targets. Particularly, the reliance on fossil fuels for process heat supply is a key factor for CO2-emissions. Electrically driven compression heat pumps are a promising option to reduce fossil fuel consumption by upgrading low-temperature waste heat to a higher temperature level, provided that low-carbon electricity is available. However, the integration of heat pumps into chemical utility systems remains a challenge due to economic constraints and the high complexity associated with site-wide heat integration and retrofit of existing structures. This work presents a mixed-integer linear programming (MILP) approach for the optimization of utility systems with integrated heat pumps. To address computational complexity, candidate utility temperature levels are pre-selected, and feasible heat pump coefficients of performance (COP) are precomputed. The framework is applied to both greenfield and retrofit scenarios for a synthetic case study consisting of 400 process streams. In the greenfield scenario, optimal utility temperature levels and heat pump integration configurations are identified. For the retrofit scenario, temperature levels of an existing utility system are modified to reduce total annual costs (TAC). Additionally, sensitivity analysis is conducted to assess the influence of key economic and environmental parameters. The presented case studies demonstrate short solution times, highlighting the suitability of the proposed framework for screening studies and systematic sensitivity analyses in early-stage design and retrofit applications.}},
author = {{Hochhaus, Thorben and Grünewald, Marcus and Riese, Julia}},
booktitle = {{Systems and Control Transactions}},
issn = {{2818-4734}},
publisher = {{PSE Press}},
title = {{{Optimization of Site-wide Heat-Integrated Utility Systems with Heat Pumps using MILP}}},
doi = {{10.69997/sct.152209}},
volume = {{6}},
year = {{2026}},
}