@article{60990,
  abstract     = {{Large Language Models (LLMs) have demonstrated remarkable performance across a wide range of natural language processing tasks. However, their effectiveness in low-resource languages remains underexplored, particularly in complex tasks such as end-to-end Entity Linking (EL), which requires both mention detection and disambiguation against a knowledge base (KB). In earlier work, we introduced IndEL — the first end-to-end EL benchmark dataset for the Indonesian language — covering both a general domain (news) and a specific domain (religious text from the Indonesian translation of the Quran), and evaluated four traditional end-to-end EL systems on this dataset. In this study, we propose ELEVATE-ID, a comprehensive evaluation framework for assessing LLM performance on end-to-end EL in Indonesian. The framework evaluates LLMs under both zero-shot and fine-tuned conditions, using multilingual and Indonesian monolingual models, with Wikidata as the target KB. Our experiments include performance benchmarking, generalization analysis across domains, and systematic error analysis. Results show that GPT-4 and GPT-3.5 achieve the highest accuracy in zero-shot and fine-tuned settings, respectively. However, even fine-tuned GPT-3.5 underperforms compared to DBpedia Spotlight — the weakest of the traditional model baselines — in the general domain. Interestingly, GPT-3.5 outperforms Babelfy in the specific domain. Generalization analysis indicates that fine-tuned GPT-3.5 adapts more effectively to cross-domain and mixed-domain scenarios. Error analysis uncovers persistent challenges that hinder LLM performance: difficulties with non-complete mentions, acronym disambiguation, and full-name recognition in formal contexts. These issues point to limitations in mention boundary detection and contextual grounding. Indonesian-pretrained LLMs, Komodo and Merak, reveal core weaknesses: template leakage and entity hallucination, respectively—underscoring architectural and training limitations in low-resource end-to-end EL.11Code and dataset are available at https://github.com/dice-group/ELEVATE-ID.}},
  author       = {{Gusmita, Ria Hari and Firmansyah, Asep Fajar and Zahera, Hamada Mohamed Abdelsamee and Ngonga Ngomo, Axel-Cyrille}},
  issn         = {{0169-023X}},
  journal      = {{Data & Knowledge Engineering}},
  keywords     = {{LLMs, Evaluation, End-to-end EL, Indonesian}},
  pages        = {{102504}},
  title        = {{{ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian}}},
  doi          = {{https://doi.org/10.1016/j.datak.2025.102504}},
  volume       = {{161}},
  year         = {{2026}},
}

@article{58492,
  abstract     = {{A coupled finite plasticity ductile damage and failure model is proposed for the finite element simulation of clinch joining, which incorporates stress-state dependency and regularisation by gradient-enhancement of the damage variable. Ductile damage is determined based on a failure indicator governed by a failure surface in stress space. The latter is exemplary chosen as a combination of the Hosford–Coulomb and Cockcroft–Latham–Oh failure criteria for the high and low stress triaxiality range, respectively, to cover the wide stress range encountered in forming. Damage is coupled to elasto-plasticity to capture the damage-induced degradation of the stiffness and flow stress. This affects the material behaviour up to failure, thereby realistically altering the stress state. Consequently, especially for highly ductile materials, where substantial necking and localisation precede material fracture, the failure prediction is enhanced. The resulting stress softening is regularised by gradient-enhancement to obtain mesh-objective results. The analysis of a modified punch test experiment emphasises how the damage-induced softening effect can strongly alter the actual stress state towards failure. Moreover, the impact of successful regularisation is shown, and the applicability of the damage and failure model to clinch joining is proven.}},
  author       = {{Friedlein, Johannes and Mergheim, Julia and Steinmann, Paul}},
  issn         = {{0022-5096}},
  journal      = {{Journal of the Mechanics and Physics of Solids}},
  keywords     = {{Finite plasticity, Ductile damage, Gradient-enhancement, Stress-state dependency, Failure}},
  publisher    = {{Elsevier BV}},
  title        = {{{Modelling of stress-state-dependent ductile damage with gradient-enhancement exemplified for clinch joining}}},
  doi          = {{10.1016/j.jmps.2025.106026}},
  volume       = {{196}},
  year         = {{2025}},
}

@article{59511,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>To minimize or avoid the use of antibiotics, antimicrobial polymers have emerged as a promising option to fight biomaterial‐associated infections, e.g., on titanium‐based implants. However, the challenge is to develop active polymers that exhibit an antimicrobial effect and are compatible with human cells. Different studies aiming for biocidal polymers active in soluble mode, focused on the ratio of cationic to hydrophobic groups, while only marginal knowledge is available for immobilized components. Here a strong hydrophilic electrolyte 4‐vinylbenzyltrimethylammonium chloride (TMA) is chosen as the cationic component. The block composition of the polycationic segment is modified with styrene (Sty) regarding the amphiphilic balance. To adsorb such polymers onto titanium surfaces they are equipped with a polyphosphonic acid anchor block by sequential reversible‐addition‐fragmentation chain‐transfer polymerization (RAFT) polymerization. The polymer composition affected the wetting behavior of adsorbed coatings with water contact angles ranging from 17° to 72°, while zetapotential measurements confirmed high extent of positive charges for all adsorbed polymer coatings. The fundamentally modified block composition resulted in significantly improved cytocompatibility. Antimicrobial efficacy in early bacterial adhesion is still retained from slightly antiadhesive coatings to combined antiadhesive/biocidal activity depending on Sty/TMA ratio in random polymers while a block copolymer revealed lowest antimicrobial effect.</jats:p>}},
  author       = {{Wolf‐Brandstetter, Cornelia and Methling, Rafael and Kuckling, Dirk}},
  issn         = {{1438-7492}},
  journal      = {{Macromolecular Materials and Engineering}},
  keywords     = {{antiadhesive surfaces, antimicrobial polymers, grafting to, polymerbrushes}},
  publisher    = {{Wiley}},
  title        = {{{Adsorbable and Antimicrobial Amphiphilic Block Copolymers with Enhanced Biocompatibility}}},
  doi          = {{10.1002/mame.202500078}},
  year         = {{2025}},
}

@inproceedings{62080,
  abstract     = {{The failure behavior of fiber reinforced polymers (FRP) is strongly influenced by their microstructure, i.e. fiber arrangement or local fiber volume content. However, this information cannot be directly used for structural analyses, since it requires a discretization on micrometer level. Therefore, current failure theories do not directly account for such effects, but describe the behavior averaged over an entire specimen. This foundation in experimentally accessible loading conditions leads to purely theory based extension to more complex stress states without direct validation possibilities. This work aims at leveraging micro-scale simulations to obtain failure information under arbitrary loading conditions. The results are propagated to the meso-scale, enabling efficient structural analyses, by means of machine learning (ML). It is shown that the ML model is capable of correctly assessing previously unseen stress states and therefore poses an efficient tool of exploiting information from the micro-scale in larger simulations.}},
  author       = {{Gerritzen, Johannes and Hornig, Andreas and Gude, Maik}},
  booktitle    = {{Sheet Metal 2025}},
  editor       = {{Meschut, G. and Bobbert, M. and Duflou, J. and Fratini, L. and Hagenah, H. and Martins, P. and Merklein, M. and Micari, F.}},
  isbn         = {{978-1-64490-354-4}},
  keywords     = {{Failure, Fiber Reinforced Plastic, Machine Learning}},
  pages        = {{260–267}},
  publisher    = {{Materials Research Forum LLC, Materials Research Foundations}},
  title        = {{{Efficient failure information propagation under complex stress states in fiber reinforced polymers: From micro- to meso-scale using machine learning}}},
  doi          = {{10.21741/9781644903551-32}},
  year         = {{2025}},
}

@misc{51133,
  abstract     = {{In order to standardize spray flame synthesis (SFS) studies, intensive work has been done in recent years on the design of burner types. Thus, in 2019, the so-called SpraySyn1 burner was introduced (SS1), which was subsequently characterized in numerical and experimental studies. Based on this research, a modification of the nozzle design was proposed, which has now been considered in the successor model, SpraySyn2 (SS2). As little is known about the effect of the nozzle adaptation on the particle formation, we operated both burners under identical operating conditions to produce maghemite. The final powder comparison showed that SS2 yielded considerable higher specific surface areas (associated with smaller primary particle sizes), lower polydispersity, and higher phase purity. To obtain further information on the size distributions of aggregates and agglomerates generated by SS2, aerosol samples were extracted by hole in a tube (HIAT) sampling and characterized by scanning mobility particle sizing (SMPS). Samples were extracted along the centerline at different heights above the burner (HAB) above the visible flame tip (>7 cm), and quenching experiments were performed to extract the aerosol samples at different dilution rates. Thereby, it was demonstrated that performing detailed quenching experiments is crucial for obtaining representative HIAT-SMPS data. In particular, agglomerates/aggregate sizes were overestimated by up to ~70 % if samples were not sufficiently diluted. If sufficient dilution was applied, distribution widths and mean particle mobility diameters were determined with high accuracy (sample standard derivation <5 %). Our data suggested the evolution of primary particle sizes was mostly completed <7 cm HAB and it was shown aggregates/agglomerates present above the visible flame were compact in structure (non- fractal). The mean diameter of the particle ensemble grew along the centerline from 6.9 nm (7 cm) to 11.4 nm (15 cm), while distribution widths grew from 1.42 to 1.52.}},
  booktitle    = {{Applications in Energy and Combustion Science}},
  editor       = {{Tischendorf, Ricardo and Massopo, Orlando and Schmid, Hans-Joachim and Pyrmak, Olek and Dupont, Sophie and Fröde, Fabian and Pitsch, Heinz and Kneer, Reinhold}},
  keywords     = {{Flame Spray Pyrolysis, SpraySyn2, Spray flame synthesis, Maghemite nanoparticles, Gas to particle-conversion, Hole in a tube sampling}},
  publisher    = {{Elsevier}},
  title        = {{{Maghemite nanoparticles synthesis via spray flame synthesis and particle characterization by hole in a tube sampling and scanning mobility particle sizing (HIAT-SMPS)}}},
  doi          = {{https://doi.org/10.1016/j.jaecs.2023.100235}},
  year         = {{2024}},
}

@article{53200,
  abstract     = {{Customer misbehavior poses a major risk in the sharing economy. For example, property damage to shared accommodations imposes burdens on both sharing platforms and hosts, especially if misbehaving guests purposefully, not coincidentally conceal, or fail to report damages. Such misbehavior might be facilitated by remote listing management and the lack of face-to-face interactions between hosts and guests. Therefore, this study investigated the effects of host–guest interaction modes (face-to-face, online-only) and frequency on guests’ misbehavior concealment intentions. Social identification and irritation emerged as bright- and dark side mediators, respectively. Guests who interacted face-to-face (vs. online-only) with hosts exhibited weaker intentions to conceal their misbehavior due to increased social identification. Platforms can elicit social identification by engaging guests in virtual communities. However, when face-to-face interactions become excessive, guests experience irritation and are more likely to conceal their misbehavior. These insights offer practical implications for both peer-to-peer sharing platforms and hosts.}},
  author       = {{Ozuna, Edna and Steinhoff, Lena}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  keywords     = {{Sharing economy, Customer misbehavior, Peer-to-peer services, Face-to-face interactions, Experimental research}},
  publisher    = {{Elsevier BV}},
  title        = {{{“Look me in the eye, customer”: How do face-to-face interactions in peer-to-peer sharing economy services affect customers’ misbehavior concealment intentions?}}},
  doi          = {{10.1016/j.jbusres.2024.114582}},
  volume       = {{177}},
  year         = {{2024}},
}

@inproceedings{54916,
  abstract     = {{Reputation systems for companies to rate each other's performance are largely unexplored in research and hardly available in practice. However, these systems are relevant for prospective buyers to find a trustworthy seller. This observation applies especially to short-lived business relationships where fulfilling the performance promise is subject to a high degree of uncertainty. This paper explores the value of a reputation system for a business-to-business (B2B) context and focuses on three novel solutions for designing reputation systems. These solutions include selling ratings, conducting ratings as payments, and employing a counter-rating mechanism. We interview buyers to fathom the added value of these solutions in different contexts. Our findings suggest that such a system is useful for companies acting in less transparent markets and also helps when companies already have a good market overview. Depending on the market conditions and business context, the perceived value of the proposed system varies.}},
  author       = {{Hemmrich, Simon and Schäfer, Jannika Marie and Hansmeier, Philipp and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 57th Hawaii International Conference on System Sciences}},
  keywords     = {{Electronic Marketing, business-to-business, new design approach, reputation systems, value for buyers.}},
  location     = {{Honolulu}},
  title        = {{{The Value of Reputation Systems in Business Contexts–A Qualitative Study Taking the View of Buyers}}},
  year         = {{2024}},
}

@article{58491,
  abstract     = {{<jats:p>Similar to bulk metal forming, clinch joining is characterised by large plastic deformations and a variety of different 3D stress states, including severe compression. However, inherent to plastic forming is the nucleation and growth of defects, whose detrimental effects on the material behaviour can be described by continuum damage models and eventually lead to material failure. As the damage evolution strongly depends on the stress state, a stress-state-dependent model is utilised to correctly track the accumulation. To formulate and parameterise this model, besides classical experiments, so-called modified punch tests are also integrated herein to enhance the calibration of the failure model by capturing a larger range of stress states and metal-forming-specific loading conditions. Moreover, when highly ductile materials are considered, such as the dual-phase steel HCT590X and the aluminium alloy EN AW-6014 T4 investigated here, strong necking and localisation might occur prior to fracture. This can alter the stress state and affect the actual strain at failure. This influence is captured by coupling plasticity and damage to incorporate the damage-induced softening effect. Its relative importance is shown by conducting inverse parameter identifications to determine damage and failure parameters for both mentioned ductile metals based on up to 12 different experiments.</jats:p>}},
  author       = {{Friedlein, Johannes and Böhnke, Max and Schlichter, Malte and Bobbert, Mathias and Meschut, Gerson and Mergheim, Julia and Steinmann, Paul}},
  issn         = {{2504-4494}},
  journal      = {{Journal of Manufacturing and Materials Processing}},
  keywords     = {{ductile damage, stress-state dependency, failure, parameter identification, punch test, clinching}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  title        = {{{Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining}}},
  doi          = {{10.3390/jmmp8040157}},
  volume       = {{8}},
  year         = {{2024}},
}

@inproceedings{57895,
  abstract     = {{In our paper, we present a study in which we investigate which strategies pre-service teachers (PSTs) use to find and, if necessary, reject possible candidates for congruence theorems for quadrilaterals. This study was conducted before the PTSs attended a university geometry course. In this way, statements about learning prerequisites can be made. For the study, we analyzed group discussions of PSTs to identify typical approaches and evaluate them from a mathematical perspective. The results can be considered for the further development of courses for PSTs and generate hypotheses
for further research.}},
  author       = {{Hoffmann, Max and Schlüter, Sarah}},
  booktitle    = {{Proceedings of the Fifth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2024, 10-14 June 2024)}},
  editor       = {{González-Martín, Alejandro S. and Gueudet, Ghislaine and Florensa, Ignasi and Lombard, Nathan}},
  keywords     = {{Teachers’ and students’ practices at university level, Transition to, across and from university mathematics, Teaching and learning of specific topics in university mathematics, Congruence, Quadrilaterals}},
  publisher    = {{Escola Univerist`aria Salesiana de Sarri`a – Univ. Aut`onoma de Barcelona and INDRUM}},
  title        = {{{How Do Advanced Pre-Service Teachers Develop Congruence Theorems for Quadrilaterals?}}},
  year         = {{2024}},
}

@article{52204,
  author       = {{Genovese, Matteo and Schlüter, Alexander and Scionti, Eugenio and Piraino, Francesco and Corigliano, Orlando and Fragiacomo, Petronilla}},
  issn         = {{0360-3199}},
  journal      = {{International Journal of Hydrogen Energy}},
  keywords     = {{Hydrogen economy, Green hydrogen, Power-to-X, Hydrogen-to-X, Sector coupling}},
  number       = {{44}},
  pages        = {{16545--16568}},
  publisher    = {{Elsevier BV}},
  title        = {{{Power-to-hydrogen and hydrogen-to-X energy systems for the industry of the future in Europe}}},
  doi          = {{10.1016/j.ijhydene.2023.01.194}},
  volume       = {{48}},
  year         = {{2023}},
}

@inproceedings{31849,
  author       = {{Hoffmann, Max and Biehler, Rolf}},
  booktitle    = {{Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)}},
  editor       = {{Trigueros, Marı́a and Barquero, Berta and Hochmuth, Reinhard and Peters, Jana}},
  keywords     = {{Teaching and learning of specific topics in university mathematics, Transition to, across and from university mathematics, Student Teachers, Geometry, Congruence, Double Discontinuity.}},
  publisher    = {{University of Hannover and INDRUM.}},
  title        = {{{Student Teachers ’ Knowledge of Congruence before a University Course on Geometry}}},
  year         = {{2023}},
}

@inproceedings{45812,
  author       = {{Özcan, Leon and Fichtler, Timm and Kasten, Benjamin and Koldewey, Christian and Dumitrescu, Roman}},
  keywords     = {{Digital Platform, Platform Strategy, Strategic Management, Platform Life Cycle, Interview Study, Business Model, Business-to-Business, Two-sided Market, Multi-sided Market}},
  location     = {{Ljubljana}},
  title        = {{{Interview Study on Strategy Options for Platform Operation in B2B Markets}}},
  year         = {{2023}},
}

@inproceedings{51142,
  author       = {{Massopo, Orlando and Tischendorf, Ricardo and Schmid, Hans-Joachim and Fröde, Fabian and Pitsch, Heinz and Reddemann, Manuel and Grenga, Temistocle and Kneer, Reinhold}},
  keywords     = {{SpraySyn, Flammenspraypyrolyse, Maghemite Nanopartikel, Gas to particle-Syntheseweg, Probennahme, Verunreinigung}},
  location     = {{Paderborn}},
  publisher    = {{Jahrestreffen der DECHEMA-Fachgruppen Aerosoltechnik, Gasreinigung, Mehrphasenströmung und Partikelmesstechnik}},
  title        = {{{Einfluss der Zerstäubung auf diePartikelbildung bei der Sprayflammenpyrolyse (Vortrag)}}},
  year         = {{2023}},
}

@article{30913,
  abstract     = {{Context: The implementation of successful measures to support immigrants' integration in cultural, social, and economic life can be considered as one of today's greatest challenges for many societies. This is especially true for adolescent immigrants who have not yet been able to finish education or gain qualifications relevant to joining the labour market. That is why many receiving countries have developed and implemented special programmes that aim at supporting immigrants' integration by facilitating their employability. Unfortunately, not much is known about the process of implementing these programmes or about how education systems, schools, and teachers are dealing with the new situation and target group. In this contribution, the implementation, development, and challenges of German Vocational Integration Classes (VIC), as an example of comparable programmes in the EU, are investigated to address this research gap. The paper considers the following exploratory research questions: (a) What challenges have been experienced by teachers and social workers in the implementation of VIC as well as in the integration of immigrants into the labour market in recent years? (b) How can these challenges be met in the long run and how should VIC be developed to better achieve its aims? 

Methods: To answer these questions, a sequential qualitative study containing questionnaire and interview elements was conducted. First, teachers and social workers involved in VIC filled in a questionnaire about their experiences and experienced challenges in implementing VIC (N = 46). Then, supplementing interviews were conducted with participants from the first sample in order to generate further insights and to contextualise the findings from the first study part (N = 14). 

Findings: From the respondents' answers, it appears that the VIC programme is well implemented. The results show, however, that central challenges continue to exist. This concerns, for example, legal regulations or the development of adequate curricula, but also the scope and quality of language education. In addition, problems have also been identified with regard to students' culture-specific education and their individual attitudes. These prevailing problems seem to affect schooling and educational processes. In addition, respondents report feeling left alone to deal with problems and that their experiences from their daily work in VIC and with immigrants are not sufficiently taken into account in policy and school-related decisions. 

Conclusions: Although VIC seems well implemented, key challenges remain in the view of the participants. It was found that teachers cannot solve many of the identified problems themselves, as they require action at the level of policy or school organisation. For staff, this can be accompanied by increased stress and demotivation. For the young immigrants, the existing challenges can have a long-term impact on school success and transition to vocational education and training. The study thus highlights the importance of targeted and holistic strategies to support immigrant integration through education. }},
  author       = {{Goller, Michael}},
  journal      = {{International Journal for Research in Vocational Education and Training}},
  keywords     = {{Immigration, Educational Policy, Employability, Mixed Methods, VET, Vocational Education and Training, Transitions From Education and Training to Employment}},
  number       = {{1}},
  pages        = {{92--119}},
  title        = {{{Supporting Young Immigrants in Their Transition From School to Work? A Staff Perspective on Challenges of Vocational Integration Classes}}},
  doi          = {{https://doi.org/10.13152/IJRVET.9.1.5}},
  volume       = {{9}},
  year         = {{2022}},
}

@inproceedings{33991,
  abstract     = {{In the course of digitalization, digital platforms are unleashing their full disruptive potential and are already dominating the first industries (e.g., hotel industry). As a result of this success, more and more companies want to build their own platforms and participate in the success. However, building and operating a digital platform involves multiple challenges and most of such ambitions fail. Since most digital platforms fail, strategic leadership of digital platforms must consider both success factors and reasons for platform failure. For this purpose, we conducted a systematic literature analysis and identified 24 success as well as failure factors in 9 dimensions. From a scientific perspective, the article provides a structured analysis of success and failure factors of digital platforms, which previously did not exist in literature. Practitioners can use the resulting knowledge base to successfully manage platform activities and avoid pitfalls.}},
  author       = {{Özcan, Leon and Koldewey, Christian and Duparc, Estelle and van der Valk, Hendrik and Otto, Boris and Dumitrescu, Roman}},
  keywords     = {{Digital Platform, Multi-sided Market, Two-sided Market, Success Factor, Failure Factor}},
  location     = {{Minneapolis}},
  title        = {{{Why do Digital Platforms succeed or fail? - A Literature Review on Success and Failure Factors}}},
  year         = {{2022}},
}

@inproceedings{27652,
  abstract     = {{Aufgrund der Fortschritte der Digitalisierung finden Systeme zur Zustandsüberwachung vermehrt Einsatz in der Industrie, um durch eine zustandsbasierte oder eine prädiktive Instandhaltung Vorteile, wie eine verbesserte Zuverlässigkeit und geringere Kosten zu erzielen. Dabei beruhen Zustandsüberwachungssysteme auf den folgenden Bausteinen: Sensorik, Datenvorverarbeitung, Merkmalsextraktion und -auswahl, Diagnose bzw. Prognose sowie einer Entscheidungsfindung basierend auf den Ergebnissen. Jeder dieser Bausteine erfordert individuelle Einstellungen, um ein geeignetes Zustandsüberwachungssystem für die jeweilige Anwendung zu entwickeln. Eine offene Fragestellung im Bereich der Zustandsüberwachung ergibt sich aufgrund der Unsicherheit der Zukunft, die sich in den zukünftigen Betriebs- und Umgebungsbedingungen zeigt. Diese Unsicherheit gilt es in allen Bausteinen zu berücksichtigen.
Dieser Beitrag konzentriert sich auf den Baustein Merkmalsextraktion und -selektion, mit dem Ziel anhand geeigneter Merkmale eine Prognose der nutzbaren Restlebensdauer mit hoher Genauigkeit realisieren zu können. Daher werden geeignete Merkmale aus dem Zeitbereich und daraus abgeleitete Zustandsindikatoren für die Restlebensdauerprognose von technischen Systemen vorgestellt. Dabei sind Zustandsindikatoren Kenngrößen zur Beobachtung des Zustands der kritischen Systemkomponenten. Anhand dreier Anwendungsbeispiele wird ihre Eignung evaluiert. Dabei werden Daten aus Lebensdauerversuchen unter instationären Betriebs- und Umgebungsbedingungen ausgewertet. Die auftretenden Unsicherheiten der Zukunft werden somit berücksichtigt. Die Beispielsysteme beruhen auf Gummi-Metall-Elementen und Wälzlagern. Aus den generierten Ergebnissen lässt sich schließen, dass die Zustandsindikatoren aus der betrachteten Zeitreihen-Toolbox auch unter unbekannten Betriebs- und Umgebungsbedingungen robust sind.
}},
  author       = {{Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Sextro, Walter}},
  booktitle    = {{VDI-Berichte 2391}},
  isbn         = {{978-3-18-092391-8}},
  issn         = {{0083-5560 }},
  keywords     = {{run-to-failure, rubber-metal element, bearing prognostics, non-stationary operating conditions, varying operating conditions, feature extraction, feature selection}},
  location     = {{Würzburg}},
  pages        = {{197 -- 210}},
  publisher    = {{VDI Verlag GmbH}},
  title        = {{{Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten }}},
  year         = {{2021}},
}

@article{22523,
  abstract     = {{The containment of COVID-19 critically hinges on individuals’ behavior. We investigate how individuals react to variations in COVID-19 reporting. Using a survey, we elicit individuals' perceived infection risk given various COVID-19 metrics (e.g., confirmed cases, reproduction rate, or case-fatality ratio). We proxy individuals' risk perception with their willingness to pay for the participation in everyday life and amusements events. We find that participants react to different COVID-19 metrics with varying sensitivity. We observe a saturation of sensitivity for several measures at critical limits used in the political discussion, making our results highly relevant for policy makers in their efforts to direct individuals to adhere to hygienic etiquette and social distancing guidelines.}},
  author       = {{Warkulat, Sonja and Krull, Sebastian and Ortmann, Regina and Klocke, Nina and Pelster, Matthias}},
  journal      = {{Covid Economics}},
  keywords     = {{COVID-19 reporting, willingness to pay, willingness to accept}},
  number       = {{83}},
  pages        = {{183--205}},
  publisher    = {{CEPR Press}},
  title        = {{{COVID-19 reporting and willingness to pay for leisure activities}}},
  year         = {{2021}},
}

@inproceedings{27381,
  abstract     = {{Graph neural networks (GNNs) have been successfully applied in many structured data domains, with applications ranging from molecular property prediction to the analysis of social networks. Motivated by the broad applicability of GNNs, we propose the family of so-called RankGNNs, a combination of neural Learning to Rank (LtR) methods and GNNs. RankGNNs are trained with a set of pair-wise preferences between graphs, suggesting that one of them is preferred over the other. One practical application of this problem is drug screening, where an expert wants to find the most promising molecules in a large collection of drug candidates. We empirically demonstrate that our proposed pair-wise RankGNN approach either significantly outperforms or at least matches the ranking performance of the naive point-wise baseline approach, in which the LtR problem is solved via GNN-based graph regression.}},
  author       = {{Damke, Clemens and Hüllermeier, Eyke}},
  booktitle    = {{Proceedings of The 24th International Conference on Discovery Science (DS 2021)}},
  editor       = {{Soares, Carlos and Torgo, Luis}},
  isbn         = {{9783030889418}},
  issn         = {{0302-9743}},
  keywords     = {{Graph-structured data, Graph neural networks, Preference learning, Learning to rank}},
  location     = {{Halifax, Canada}},
  pages        = {{166--180}},
  publisher    = {{Springer}},
  title        = {{{Ranking Structured Objects with Graph Neural Networks}}},
  doi          = {{10.1007/978-3-030-88942-5}},
  volume       = {{12986}},
  year         = {{2021}},
}

@article{17860,
  abstract     = {{Purpose
The purpose of this paper is to identify strategic options and challenges that arise when an industrial firm moves from providing smart service toward providing a platform.

Design/methodology/approach
This conceptual study takes on a multidisciplinary research perspective that integrates concepts, theories and insights from service management and marketing, information systems and platform economics.

Findings
The paper outlines three platform types – smart data platform, smart product platform and matching platform – as strategic options for firms that wish to evolve from smart service providers to platform providers.

Research limitations/implications
Investigating smart service platforms calls for launching interdisciplinary research initiatives. Promising research avenues are outlined to span boundaries that separate different research disciplines today.

Practical implications
Managing a successful transition from providing smart service toward providing a platform requires making significant investments in IT, platform-related capabilities and skills, as well as implement new approaches toward relationship management and brand-building.

Originality/value
The findings described in this paper are valuable to researchers in multiple disciplines seeking to develop and to justify theory related to platforms in industrial scenarios.}},
  author       = {{Beverungen, Daniel and Kundisch, Dennis and Wünderlich, Nancy}},
  issn         = {{507-532}},
  journal      = {{Journal of Service Management}},
  keywords     = {{Smart service, Platform, Interdisciplinary research, Manufacturing company, Smart service provider, Platform economics, Information systems, Multi-sided markets, Business-to-business (B2B) markets}},
  number       = {{4}},
  pages        = {{507--532}},
  publisher    = {{Emerald Insight}},
  title        = {{{Transforming into a Platform Provider: Strategic Options for Industrial Smart Service Providers}}},
  doi          = {{10.1108/JOSM-03-2020-0066}},
  volume       = {{32}},
  year         = {{2021}},
}

@inproceedings{29203,
  abstract     = {{We present a monolithically integrated electronic-photonic Mach-Zehnder modulator with a linear, segmented driver on the same silicon substrate. As metric for the modulation efficiency, the external V$\pi$ is hereby reduced to only 420 mV.}},
  author       = {{Kress, Christian and Singh, Karanveer and Schwabe, Tobias and Preußler, Stefan and Schneider, Thomas and Scheytt, J. Christoph}},
  booktitle    = {{OSA Advanced Photonics Congress 2021}},
  keywords     = {{Analog to digital converters, Extinction ratios, Grating couplers, Modulation, Modulators, Phase shift}},
  pages        = {{IW1B.1}},
  publisher    = {{Optical Society of America}},
  title        = {{{High Modulation Efficiency Segmented Mach-Zehnder Modulator Monolithically Integrated with Linear Driver in 0.25 \textmum BiCMOS Technology}}},
  doi          = {{10.1364/IPRSN.2021.IW1B.1}},
  year         = {{2021}},
}