@article{62900,
author = {{Hjorth, Therese and Schadow, Alena Marie and Revheim, Ingrid and Spielau, Ulrike and Meyer, Klara and Rieder, Anne and Varela, Paula and Ballance, Simon and Koerner, Antje and Landberg, Rikard and Buyken, Anette and Dierkes, Jutta and Rosendahl-Riise, Hanne}},
issn = {{0002-9165}},
journal = {{The American Journal of Clinical Nutrition}},
number = {{3}},
pages = {{724--732}},
publisher = {{Elsevier BV}},
title = {{{Effectiveness of regular oat β-glucan–enriched bread compared with whole-grain wheat bread on long-term glycemic control in adults at risk of type 2 diabetes: a randomized controlled trial}}},
doi = {{10.1016/j.ajcnut.2025.06.018}},
volume = {{122}},
year = {{2025}},
}
@article{63053,
author = {{Hernández, Carlos and Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Cuate, Oliver and Trautmann, Heike and Schütze, Oliver}},
journal = {{IEEE Transactions on Evolutionary Computation}},
keywords = {{Optimization, Evolutionary computation, Hands, Proposals, Convergence, Computational efficiency, Artificial intelligence, Accuracy, Approximation algorithms, Aerospace electronics, Multi-objective optimization, evolutionary algorithms, nearly optimal solutions, multimodal optimization, archiving, continuation}},
pages = {{1--1}},
title = {{{An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}}},
doi = {{10.1109/TEVC.2025.3637276}},
year = {{2025}},
}
@inproceedings{61427,
abstract = {{The carbon footprint of modern vehicles and their mechatronic systems is more
important than ever. Research by the publicly funded Nalyses project and the HELLA
company shows that the headlamps use phase makes a significant contribution to the life
cycle footprint taking into account the current electricity mix [1]. Today, functionalities
such as adaptive curve light or glare-free high beam ensure comfort and safety by
assessing the state of the vehicle and evaluating the driving scenario ahead. In future,
this evaluation will be expanded and used to adapt the headlamp to the driving scenario
in such a way that as little light as possible is emitted, but as much light as necessary. In
order to achieve this goal, an overall evaluation of the regulatory compliant energy
saving potential is crucial in a first step and leads to constraints for a dynamic adaption
while driving. In this paper, the potential is illustrated by evaluating UNECE Regulation
No. 149 and optimizing luminous intensity distributions. Depending on the different
resolutions of matrix LED headlamps, this approach can result in a significantly lower
luminous flux. On the other hand, the results are point-like distributions that raise the
question of whether the regulation still provides for sensible minimum requirements for
modern matrix LED headlamps. The results are further presented in a simulated virtual
environment with regard to the resulting luminance in different driving scenarios. We
then present an approach to integrate regulatory requirements into a control algorithm by
setting optimization constraints and saturating the control. Finally, we classify the found
luminous intensity distributions qualitatively according to common lighting criteria. In summary, although the investigated minimum distributions are by no means desirable
for drivers themselves, they form the basis on which energy-saving distributions for
illuminated areas and twilight scenarios could be adaptively controlled in the future.}},
author = {{Fittkau, Niklas and Bußemas, Leon and Malena, Kevin and Gausemeier, Sandra and Trächtler, Ansgar}},
booktitle = {{Proceedings of the 16th International Symposium on Automotive Lighting 2025}},
location = {{Darmstadt}},
title = {{{Regulatory-compliant energy-saving potential for the passing beam of matrix LED headlamps}}},
doi = {{10.26083/tuprints-00030840}},
year = {{2025}},
}
@article{63344,
abstract = {{Abstract
A Neumann-type initial-boundary value problem for
$$\begin{aligned} \left\{ \begin{array}{l} u_{tt} = \nabla \cdot (\gamma (\Theta ) \nabla u_t) + a \nabla \cdot (\gamma (\Theta ) \nabla u) + \nabla \cdot f(\Theta ), \\ \Theta _t = D\Delta \Theta + \Gamma (\Theta ) |\nabla u_t|^2 + F(\Theta )\cdot \nabla u_t, \end{array} \right. \end{aligned}$$
u
tt
=
∇
·
(
γ
(
Θ
)
∇
u
t
)
+
a
∇
·
(
γ
(
Θ
)
∇
u
)
+
∇
·
f
(
Θ
)
,
Θ
t
=
D
Δ
Θ
+
Γ
(
Θ
)
|
∇
u
t
|
2
+
F
(
Θ
)
·
∇
u
t
,
is considered in a smoothly bounded domain
$$\Omega \subset \mathbb {R}^n$$
Ω
⊂
R
n
,
$$n\ge 1$$
n
≥
1
. In the case when
$$n=1$$
n
=
1
,
$$\gamma \equiv \Gamma $$
γ
≡
Γ
and
$$f\equiv F$$
f
≡
F
, this system coincides with the standard model for heat generation in a viscoelastic material of Kelvin-Voigt type, well-understood in situations in which
$$\gamma =const$$
γ
=
c
o
n
s
t
. Covering scenarios in which all key ingredients
$$\gamma ,\Gamma ,f$$
γ
,
Γ
,
f
and F may depend on the temperature
$$\Theta $$
Θ
here, for initial data which merely satisfy
$$u_0\in W^{1,p+2}(\Omega )$$
u
0
∈
W
1
,
p
+
2
(
Ω
)
,
$$u_{0t}\in W^{1,p}(\Omega )$$
u
0
t
∈
W
1
,
p
(
Ω
)
and
$$\Theta _0\in W^{1,p}(\Omega )$$
Θ
0
∈
W
1
,
p
(
Ω
)
with some
$$p\ge 2$$
p
≥
2
such that
$$p>n$$
p
>
n
, a result on local-in-time existence and uniqueness is derived in a natural framework of weak solvability.}},
author = {{Winkler, Michael}},
issn = {{0095-4616}},
journal = {{Applied Mathematics & Optimization}},
number = {{2}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Rough Data in an Evolution System Generalizing 1D Thermoviscoelasticity with Temperature-Dependent Parameters}}},
doi = {{10.1007/s00245-025-10243-9}},
volume = {{91}},
year = {{2025}},
}
@inproceedings{60746,
author = {{Jakobeit, Darius and Peña López, Mario and Schenke, Maximilian and Haucke-Korber, Barnabas and Wallscheid, Oliver}},
booktitle = {{2025 IEEE International Electric Machines & Drives Conference (IEMDC)}},
publisher = {{IEEE}},
title = {{{Structural Optimization of Meta-Reinforcement Learning-based Finite-Control-Set Direct Torque Control of Permanent Magnet Synchronous Motors}}},
doi = {{10.1109/iemdc60492.2025.11061179}},
year = {{2025}},
}
@inproceedings{63397,
abstract = {{Decarbonizing industrial process heat is a crucial step in mitigating climate change. While Process Mining (PM) has gained traction in sustainability research—such as optimizing production scheduling to reduce energy use or accounting for carbon footprints—it has largely overlooked the challenges and opportunities related to thermal energy, accounting for 66% of total energy demand in industrial processes. At the same time, Heat Integration (HI) is an established engineering discipline focused on maximizing the efficiency of thermal energy systems. However, HI traditionally relies on static or incomplete data about energy demands, limiting its effectiveness and accuracy. In this paper, we propose a novel framework that combines PM and HI to enable data-driven, process- and product-centric modeling of industrial energy demands. By integrating event logs and thermal energy data, our approach allows for a fine-grained analysis of heat demand patterns corresponding to specific process activities and product variants. We demonstrate the applicability and advantages of the framework by simulating a pharmaceutical manufacturing process and evaluating energy demands and heat recovery potentials. Our findings show that our PM-enabled HI framework provides more accurate and actionable insights into the temporal and product-specific variation of thermal energy demands. By capturing the causal relationships between process activities, product characteristics, and energy consumption, our approach enables improved analysis, planning, and optimization for heat recovery and process decarbonization. This integration of PM and HI expands the analytical tools for both disciplines and contributes to advancing the sustainable transformation of industrial processes.}},
author = {{Zapata Gonzalez, David Ricardo and Brennig, Katharina and Benkert, Kay and Schlosser, Florian and Müller, Oliver}},
booktitle = {{ACM SIGEnergy Energy Informatics Review}},
issn = {{2770-5331}},
number = {{3}},
pages = {{19--31}},
publisher = {{Association for Computing Machinery (ACM)}},
title = {{{Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling}}},
doi = {{10.1145/3777518.3777520}},
volume = {{5}},
year = {{2025}},
}
@inproceedings{60604,
abstract = {{Abstract. In the field of online condition monitoring, non-destructive testing methods using active acoustic testing [1] emerged as innovative tools. These techniques are particularly effective because damage in joined structures leads to significant changes in their vibrational characteristics. However, the consistent use of online condition monitoring through active acoustic testing combined with complex pattern recognition for early crack detection in joined components has not yet been fully established. This research aims to develop an online crack detection system employing pattern recognition techniques under cyclic loading during fatigue tests, utilizing non-contact active acoustic testing with laser vibrometry. Due to the wide range of materials that can be joined, mechanical joining processes can be used in many different industry branches. Self-pierce riveting (SPR), in particular, is a well-established joining process. Therefore, the investigations for online crack detection initially focus on SPR joints. To achieve this, the fatigue behavior of SPR joints in a lap-shear configuration was characterized. Experimental fatigue testing demonstrated that SPR joint failure occurs either through cracks propagating in the sheet material away from the rivet or in the rivet foot, depending on the material combination. Laser vibrometry has been successfully used as a crack detection system and has proven to be effective in detecting crack initiation in SPR joints. Cracks can be detected without contact regardless of the material combination, the damage location, the size of the damage, or the type of damage. The optimization of the crack detection system involved several key enhancements, including adjusting data acquisition to improve crack detection, incorporating principal component analysis (PCA) to reduce dimensionality, and implementing a classification model based on a global training dataset. An intuitive, problem-specific software demonstrator for analyzing the crack initiation behavior of SPR joints under cyclic loading was developed and iteratively optimized. Future work will focus on the implementation of an autoencoder network to further enhance crack detection capabilities.}},
author = {{Olfert, Viktoria and Yang, Keke and Gollnick, Maik and Krause, Jacob and Hein, David and Meschut, Gerson}},
booktitle = {{Materials Research Proceedings}},
issn = {{2474-395X}},
publisher = {{Materials Research Forum LLC}},
title = {{{Analysis of fatigue behaviour of self-piercing riveted joints under cyclic loading using laser vibrometry}}},
doi = {{10.21741/9781644903599-154}},
volume = {{54}},
year = {{2025}},
}
@techreport{63209,
abstract = {{Die DFG-Projekte AddFeRo-PM (406108415) und AddFeRo-SR (465089065) untersuchten die Potenziale des LB-PBF/M-Verfahrens zur Herstellung von Rotoren für unterschiedliche elektrische Maschinen. Im interdisziplinären Ansatz wurden Materialentwicklung und mechanische sowie elektromagnetische Optimierung verbunden. Im Projekt „AddFeRo-PM“ wurde der Rotor einer permanentmagneterregten Synchron- maschine (PMSM) untersucht. FeSi erwies sich als geeignete Legierung, konnte aber wegen Spannungsrissen nur bis zu 3 % Siliziumanteil (kurz: FeSi3) verarbeitet werden. Mechanische und elektromagnetische Untersuchungen ermöglichten eine 3D-Optimierung der Rotorgeometrie und -struktur. Der Demonstrator wurde additiv gefertigt und zeigt Leicht-baupotenziale sowie reduzierte Drehmomentwelligkeit. Im Folgeprojekt „AddFeRo-SR“ kam eine Hochtemperatur-Bauraumheizung (HTBH) zum Einsatz, die FeSi mit 6,5 % Siliziumanteil verarbeitbar machte, welches bessere elektro- magnetische Eigenschaften bietet. Sie wurde bei einer Synchron-Reluktanzmaschine (SynRM) getestet. Eine hybride Rotorfertigung erwies sich jedoch aufgrund von HTBH-Einschränkungen als ungeeignet, weshalb eine einteilige Fertigung mit FeSi3 umgesetzt wurde. Experimente bestätigten vergleichbare Betriebsergebnisse zur konventionellen Fertigung bei reduzierter Rotormasse. Zusätzlich wurde eine Methodik entwickelt, um additive Verfahren als Ergänzung zur konventionellen Fertigung zu integrieren. Beide Projekte zeigen das Potenzial additiver Fertigung für Leichtbau und Wirkungsgradsteigerung im Elektromaschinenbau und bieten wertvolle Grundlagen für industrielle Anwendungen.}},
author = {{Haase, Michael and Behrendt, Marius and Hengsbach, Florian and Kunnathully Sathees Kumar, Vinay and Magerkohl, Sebastian and Magyar, Balázs and Ponick, Bernd and Schaper, Mirko and Zimmer, Detmar}},
keywords = {{Additive Fertigung, Elektromotor, Leichtbau, Synchronmotor, DFG}},
publisher = {{Technische Informationsbibliothek}},
title = {{{Additive Fertigung im Elektromaschinenbau: Erforschung von Potentialen der additiven Fertigung in Rotoren permanentmagneterregter Synchronmaschinen}}},
doi = {{10.34657/26753}},
year = {{2025}},
}
@article{62652,
abstract = {{Driven by the urgent need for a green, safe, and cost‐effective approach to producing H2 and H2O2—both highly valuable in green energy and environmental protection fields—piezocatalysis, which converts mechanical energy into valuable chemicals, has emerged as a promising solution. However, current catalyst systems face challenges due to the need for materials with both a strong piezoelectric effect and favorable catalytic activity. Herein, the construction of an oxidized carbon nitride (g‐C3N4) matrix anchored with TiO2 nanoparticles via alkaline hydrothermal treatment is reported. Under ultrasonication, the g‐C3N4/TiO2 composite exhibits optimal performance under carefully controlled alkaline hydrothermal conditions. With a low concentration of Ba(OH)2 during hydrothermal treatment, Ba(OH)2 provides an alkaline medium, oxidizing the g‐C3N4 species and introducing structural defects into the g‐C3N4 framework. The disruption of the g‐C3N4 matrix, along with its interaction with TiO2 nanoparticles, enhances the piezoelectric effect. Consequently, the oxidized g‐C3N4/TiO2 composite achieves a remarkable H2 production rate of 4427.2 μmol g−1 and an H2O2 production rate of 809.3 μmol g−1 within 1 h without the addition of any sacrificial agents or cocatalysts. This work presents an effective strategy for the structural optimization of g‐C3N4‐based materials and may inspire new approaches for designing advanced piezocatalysts.}},
author = {{Pan, Ying and Liao, Luocheng and Zhang, Xinwen and Liu, Yunya and Su, Ran and Lopez Salas, Nieves}},
issn = {{1864-5631}},
journal = {{ChemSusChem}},
number = {{19}},
publisher = {{Wiley}},
title = {{{Oxidation‐Enhanced Piezocatalytic Activity in Carbon Nitride‐Based Catalysts for Hydrogen and Hydrogen Peroxide Production}}},
doi = {{10.1002/cssc.202500980}},
volume = {{18}},
year = {{2025}},
}
@article{58650,
abstract = {{Technical systems are characterized by increasing interdisciplinarity, complexity and networking. A product and its corresponding production systems require interdisciplinary multi-objective optimization. Sustainability and recyclability demands increase said complexity. The efficiency of previously established engineering methods is reaching its limits, which can only be overcome by systematic integration of extreme data. The aim of "hybrid decision support" is as follows: Data science and artificial intelligence should be used to supplement human capabilities in conjunction with existing heuristics, methods, modeling and simulation to increase the efficiency of product creation.}},
author = {{Gräßler, Iris and Pottebaum, Jens and Nyhuis, Peter and Stark, Rainer and Thoben, Klaus-Dieter and Wiederkehr, Petra}},
issn = {{2942-6170}},
journal = {{Industry 4.0 Science}},
keywords = {{AI, artificial intelligence, Data Science, decision support, extreme data, Künstliche Intelligenz, product creation, product development}},
number = {{1}},
publisher = {{GITO mbH Verlag}},
title = {{{Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence}}},
doi = {{10.30844/i4sd.25.1.18}},
volume = {{2025}},
year = {{2025}},
}
@article{58556,
abstract = {{To predict and prevent uneven tire wear in addition to a reduction of overall tire wear, it is essential to estimate not only the total amount of wear but also how the wear is distributed across the tire width. This requires knowledge of the frictional power distribution in the tire contact patch, which is the basis for calculating tire wear using a wear law. Usually, only 3D structural tire models can generate such distributed contact results. However, they involve high computational costs and cannot be used for comprehensive optimization of a vehicle’s suspension system with respect to tire wear characteristics. Hence, this contribution presents a methodology on how to accelerate the prediction of the frictional power distribution using two components: The structural tire model is replaced by an empirical tire model that on its own is not able to generate distributed contact results. Therefore, an artificial neural network is trained to predict the desired contact results from the kinematic quantities calculated by the empirical tire model. In the initial training phase, both components are fitted to data generated by the original complex tire model. After training, the empirical tire model can replace the structural tire model in vehicle simulations, resulting in significantly shorter calculation times. The simulation results are fed into the artificial neural network, which predicts the frictional power distributions over the tire width with negligible additional effort. Overall, the methodology reduces calculation time for the prediction of tire wear based on virtual test drives to approximately 25% of the time needed when using structural tire models.}},
author = {{Muth, Lars and Zharia, Raphael and Sahin, Hürkan and Sextro, Walter}},
journal = {{Tire Science and Technology}},
publisher = {{The Tire Society}},
title = {{{Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network}}},
doi = {{https://doi.org/10.2346/TST-24-009}},
year = {{2025}},
}
@article{59229,
abstract = {{Die Nahrungszubereitung als zentraler Bestandteil eines haushaltsbezogenen Unterrichts dient der Anbahnung von Kompetenzen für die Zubereitung von Speisen und die Gestaltung von Mahlzeiten unter Berücksichtigung von Gesundheit und Nachhaltigkeit. Ebenso bedeutsam, jedoch häufig vernachlässigt, ist die Berücksichtigung unterschiedlicher Esskulturen, lebensweltlicher Erfahrungen und sozioökonomischer Hintergründe der Lernenden.}},
author = {{Schlegel-Matthies, Kirsten}},
issn = {{2193-8806}},
journal = {{HiBiFo – Haushalt in Bildung & Forschung}},
number = {{1}},
pages = {{49--63}},
publisher = {{Verlag Barbara Budrich GmbH}},
title = {{{Essen in der Vielfalt – Esskultur und Nahrungszubereitung}}},
doi = {{10.3224/hibifo.v14i1.05}},
volume = {{14}},
year = {{2025}},
}
@phdthesis{59239,
abstract = {{Diese Arbeit behandelt die Modellierung und Optimierung von mit Phasenwechselmaterialien (PCM) ausgestatteten, energietechnischen Komponenten anhand zweier Fallstudien. PCM sind Materialien, deren Phasenwechseleigenschaften während des Schmelzens und Erstarrens für Heiz- und Kühlzwecke genutzt werden. Zunächst werden die theoretischen Grundlagen zu Wärmeübertragungsproblemen mit Phasenwechsel erörtert und entsprechende numerische Lösungsmethoden diskutiert. Ein Modell für Phasenwechselvorgänge wird vorgestellt, welches anhand analytischer Lösungen validiert wurde und in den Fallstudien zum Einsatz kam. Für beide Fallstudien wird der Stand der Technik erörtert und die entsprechenden Forschungsfragen werden formuliert. Die erste Fallstudie behandelt PCM-integrierte Photovoltaikmodule und die zweite Festbett-Latentwärmespeicher, welche nicht-kugelförmiger PCM-Kapseln verwenden. Für beide Systeme wurden thermische Model-le entwickelt und anhand experimenteller Daten mit guter Genauigkeit validiert. Diese Modelle wurden in Parameterstudien eingesetzt, um optimierte Systemkonfigurationen zu identifizieren. Die vorgestellten Ergebnisse zeigen, dass ein PCM-Kühlkörper mit ausreichender Dicke und Wärmeleitfähigkeit den Wirkungsgrad und die Lebensdauer von Photovoltaikmodulen erheblich erhöht. Darüber hinaus verbessern PCM-Kapseln mit hoher Packungs-dichte und Oberfläche sowohl die volumenspezifische Speicherkapazität als auch die thermische Leistung von Festbett-Latentwärmespeichern.}},
author = {{Grabo, Matti}},
keywords = {{Heat transfer, PCM, numerical simulation, renewable energy, heat storage}},
title = {{{Modeling and optimization of energy system components equipped with phase change materials}}},
doi = {{10.17619/UNIPB/1-2199}},
year = {{2025}},
}
@article{60186,
author = {{Lang, A and Schaefer, E and Kupriyanova, Y and Goletzke, J and Weber, KS and Buyken, Anette and Kahl, S and Zaharia, OP and Herder, C and Schrauwen-Hinderling, VB and Kuss, O and Wagner, R and Roden, M and Schlesinger, S and Diabetes Study Group, German}},
issn = {{1475-2891}},
journal = {{Nutr J}},
number = {{1}},
pages = {{74}},
title = {{{Cross-sectional association between the isocaloric replacement of carbohydrates with protein and fat in relation to fat compartments distribution and hepatic lipid content in recent-onset type 1 and type 2 diabetes.}}},
volume = {{24}},
year = {{2025}},
}
@article{60182,
author = {{Perrar, I and Hohoff, E and Lesani, A and Schmitting, S and Libuda, Lars and Krüger, Bettina and Stutz, Bianca and Nöthlings, U and Buyken, Anette and Alexy, U and Jankovic, N}},
issn = {{1436-6207}},
journal = {{Eur J Nutr}},
number = {{4}},
pages = {{165}},
title = {{{Circadian eating patterns track from infancy to pre- and primary school-age, but are not prospectively associated with body composition in childhood - Results of the DONALD cohort study.}}},
volume = {{64}},
year = {{2025}},
}
@article{60184,
author = {{Della Corte, KA and Bosler, T and McClure, C and Buyken, Anette and LeCheminant, JD and Schwingshackl, L and Della Corte, D}},
issn = {{2161-8313}},
journal = {{Adv Nutr}},
number = {{5}},
pages = {{100413}},
title = {{{Dietary Sugar Intake and Incident Type 2 Diabetes Risk: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies.}}},
volume = {{16}},
year = {{2025}},
}
@article{60187,
author = {{Revheim, I and Sabir, Z and Dierkes, J and Buyken, Anette and Landberg, R and Alten, I and Spielau, U and Rosendahl-Riise, H}},
issn = {{1436-6207}},
journal = {{Eur J Nutr}},
number = {{5}},
pages = {{197}},
title = {{{Bread, wholegrain consumption and weight change from middle to late adulthood: a prospective cohort study. }}},
volume = {{64}},
year = {{2025}},
}
@article{60181,
author = {{Dannheim, I and Ludwig-Walz, H and Kirsch, H and Bujard, M and Buyken, Anette and Richardson, KM and Kroke, A}},
issn = {{0355-3140}},
journal = {{Scand J Work Environ Health}},
pages = {{4219}},
title = {{{Effectiveness of leader-targeted stress management interventions: A systematic review and meta-analysis.}}},
year = {{2025}},
}
@article{60174,
abstract = {{Fähigkeiten zur Wahrnehmung und Regulation von Emotionen sind von besonderer Relevanz für Studierende, da Fördermaßnahmen im Bereich der Emotionsregulation auch positive Effekte auf die Studienqualität, den Studienerfolg und die allgemeine Persönlichkeitsentwicklung haben können. Jedoch wird diesem Thema wenig Aufmerksamkeit geschenkt und hochschuldidaktisch steht die Gestaltung von kognitiven und inhaltsbezogenen Lernarrangements im Zentrum. Die Einbindung von Gelegenheiten zur Emotionsreflexion in die Lehre bietet eine niederschwellige Maßnahme zur Förderung emotionaler Kompetenzen, weshalb im vorliegenden Beitrag ein Instrument zur Umsetzung dieser Aufgabe vorgeschlagen wird.}},
author = {{Lehberger, Regine}},
issn = {{2219-6994}},
journal = {{Zeitschrift für Hochschulentwicklung}},
keywords = {{Emotionsreflexion, Studierende, Hochschullehre, Reflexion}},
number = {{1}},
publisher = {{OAPublishing Collective}},
title = {{{Emotionsreflexion als Element universitären Lehrens und Lernens Emotional reflection as an element of university teaching and learning}}},
doi = {{10.21240/zfhe/20-1/22}},
volume = {{20}},
year = {{2025}},
}
@inproceedings{60219,
author = {{Vermetten, Diederick and Rook, Jeroen and Preuß, Oliver Ludger and de Nobel, Jacob and Doerr, Carola and López-Ibáñez, Manuel and Trautmann, Heike and Bäck, Thomas}},
booktitle = {{Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I}},
editor = {{Singh, Hemant K. and Ray, Tapabrata and Knowles, Joshua D. and Li, Xiaodong and Branke, Juergen and Wang, Bing and Oyama, Akira}},
pages = {{242–256}},
publisher = {{Springer}},
title = {{{MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler}}},
doi = {{10.1007/978-981-96-3506-1_17}},
volume = {{15512}},
year = {{2025}},
}