@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{61014,
abstract = {{To obtain a more comprehensive understanding of the specific properties of complex-shaped technical aerosols—such as partially sintered aggregates formed in combustion processes or structured particles resulting from complex synthesis processes—it is essential to measure more than a single equivalent size. This study examines a novel method for determining a two-dimensional distribution of two distinct particle properties within the size range from 50nm to 1000nm: the Centrifugal Differential Mobility Analyzer (CDMA). The CDMA enables the simultaneous measurement of both mobility and Stokes equivalent diameters, providing a detailed two-dimensional particle property distribution. This, in turn, allows for the extraction of shape-related information, which is essential for characterizing particles in terms of their chemical composition, reactivity, and other physicochemical properties. This paper presents a detailed evaluation of a first CDMA prototype. First, CFD simulations of the flow field within the classifier are presented in order to assess and understand non-idealities arising from the exact geometry. Subsequently, the transfer function is evaluated by particle trajectory calculations based on the simulated flow field. It can be demonstrated that the simulated transfer functions agree quite well with transfer functions derived from streamlines of an ideal flow field, indicating that the non-idealities in the classifying region are almost negligible in their effect on the classification result. An experimental determination of the transfer function shows additional effects not covered by the previous simulations, like broadening by diffusion and losses due to diffusion and precipitation within the in- and outlet of the classifier. Finally, the determined transfer functions are used to determine the full two-dimensional distribution with regard to the mobility and Stokes equivalent diameter of real aerosols, like spherical particles and aggregates at different sintering stages, respectively.}},
author = {{Rüther, Torben Norbert and Gröne, Sebastian and Dechert, Christopher and Schmid, Hans-Joachim}},
issn = {{2674-0516}},
journal = {{Powders}},
keywords = {{centrifugal differential mobility analysis, 2D-measurement, particle characterization, moving reference frame CFD-simulation, transfer function}},
number = {{2}},
publisher = {{MDPI AG}},
title = {{{Centrifugal Differential Mobility Analysis—Validation and First Two-Dimensional Measurements}}},
doi = {{10.3390/powders4020011}},
volume = {{4}},
year = {{2025}},
}
@article{51122,
author = {{Al-Lami, Abbas J.S. and Kenig, Eugeny Y.}},
issn = {{2214-157X}},
journal = {{Case Studies in Thermal Engineering}},
keywords = {{Fluid Flow and Transfer Processes, Engineering (miscellaneous)}},
publisher = {{Elsevier BV}},
title = {{{New pressure drop and heat transfer correlations for turbulent forced convection in internally channeled tube heat exchanger ducts}}},
doi = {{10.1016/j.csite.2024.103993}},
year = {{2024}},
}
@inproceedings{49430,
abstract = {{Within the current energy and environmental crisis, new material- and energy-saving processes are needed. For this reason, this study focuses on the development of a new forming technology for Ti-6Al-4V sheet metal. It is based on combination of solution treatment by resistive heating with rapid tool-based quenching and subsequent annealing. This new “TISTRAQ” process is comparable with press-hardening already known for steels and hot die quenching known for aluminium alloys. One of the main influencing factors for this process is the heat transfer coefficient (HTC). It is an important driver for adjustment of basic parameters, as selection of tool material or the forming speed but also plays an important role while elaborating temperature distribution in the numerical model. Therefore, a new and unique test rig was developed to determine the HTC and to perform tool-based heat treatment at specimen level under laboratory conditions. The test rig was used to investigate the influence of the titanium-tool-lubricant system on HTC and cooling rate. Further the effect of heat treatment in the test rig and tool-based quenching on microstructure and mechanical properties was studied. To improve the prediction of the temperature distribution of the titanium during cooling, the HTC was integrated into the numerical process simulation}},
author = {{Kaiser, Maximilian Alexander and Höschen, Fabian and Pfeffer, Nina and Merten, Mathias and Meyer, Thomas and Marten, Thorsten and Rockicki, Pawel and Höppel, Heinz Werner and Tröster, Thomas}},
booktitle = {{IOM3. Chapter 14: Forming, Machining & Joining [version 1; not peer reviewed]}},
keywords = {{Interfacial heat transfer coefficient, Ti-6Al-4V, nonisothermal forming, thermomechanical processing, TISTRAQ process}},
location = {{Edinburgh}},
title = {{{The new TISTRAQ process: Solution treatment with rapid quenching and annealing for Ti-6Al-4V sheet metal part forming - investigation on heat transfer coefficient and influence on cooling rates}}},
doi = {{doi.org/10.7490/f1000research.1119929.1}},
year = {{2024}},
}
@inproceedings{57240,
abstract = {{Validating assertions before adding them to a knowledge graph is an essential part of its creation and maintenance. Due to the sheer size of knowledge graphs, automatic fact-checking approaches have been developed. These approaches rely on reference knowledge to decide whether a given assertion is correct. Recent hybrid approaches achieve good results by including several knowledge sources. However, it is often impractical to provide a sheer quantity of textual knowledge or generate embedding models to leverage these hybrid approaches. We present FaVEL, an approach that uses algorithm selection and ensemble learning to amalgamate several existing fact-checking approaches that rely solely on a reference knowledge graph and, hence, use fewer resources than current hybrid approaches. For our evaluation, we create updated versions of two existing datasets and a new dataset dubbed FaVEL-DS. Our evaluation compares our approach to 15 fact-checking approaches—including the state-of-the-art approach HybridFC—on 3 datasets. Our results demonstrate that FaVEL outperforms all other approaches significantly by at least 0.04 in terms of the area under the ROC curve. Our source code, datasets, and evaluation results are open-source and can be found at https://github.com/dice-group/favel.}},
author = {{Qudus, Umair and Röder, Michael and Tatkeu Pekarou, Franck Lionel and Morim da Silva, Ana Alexandra and Ngonga Ngomo, Axel-Cyrille}},
booktitle = {{EKAW 2024}},
editor = {{Rospocher, Marco}},
keywords = {{fact checking, ensemble learning, transfer learning, knowledge management.}},
location = {{Amsterdam, Netherlands}},
title = {{{FaVEL: Fact Validation Ensemble Learning}}},
year = {{2024}},
}
@inproceedings{45270,
abstract = {{Clinical depression is a serious mental disorder that poses challenges for both personal and public health. Millions of people struggle with depression each year, but for many, the disorder goes undiagnosed or untreated. Over the last decade, early depression detection on social media emerged as an interdisciplinary research field. However, there is still a gap in detecting hesitant, depression-susceptible individuals with minimal direct depressive signals at an early stage. We, therefore, take up this open point and leverage posts from Reddit to fill the addressed gap. Our results demonstrate the potential of contemporary Transformer architectures in yielding promising predictive capabilities for mental health research. Furthermore, we investigate the model’s interpretability using a surrogate and a topic modeling approach. Based on our findings, we consider this work as a further step towards developing a better understanding of mental eHealth and hope that our results can support the development of future technologies.}},
author = {{Halimeh, Haya and Caron, Matthew and Müller, Oliver}},
booktitle = {{Hawaii International Conference on System Sciences}},
keywords = {{Social Media and Healthcare Technology, early depression detection, liwc, mental health, transfer learning, transformer architectures}},
title = {{{Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features}}},
year = {{2023}},
}
@inproceedings{50479,
abstract = {{Verifying assertions is an essential part of creating and maintaining knowledge graphs. Most often, this task cannot be carried out manually due to the sheer size of modern knowledge graphs. Hence, automatic fact-checking approaches have been proposed over the last decade. These approaches aim to compute automatically whether a given assertion is correct or incorrect. However, most fact-checking approaches are binary classifiers that fail to consider the volatility of some assertions, i.e., the fact that such assertions are only valid at certain times or for specific time intervals. Moreover, the few approaches able to predict when an assertion was valid (i.e., time-point prediction approaches) rely on manual feature engineering. This paper presents TEMPORALFC, a temporal fact-checking approach that uses multiple sources of background knowledge to assess the veracity and temporal validity of a given assertion. We evaluate TEMPORALFC on two datasets and compare it to the state of the art in fact-checking and time-point prediction. Our results suggest that TEMPORALFC outperforms the state of the art on the fact-checking task by 0.13 to 0.15 in terms of Area Under the Receiver Operating Characteristic curve and on the time-point prediction task by 0.25 to 0.27 in terms of Mean Reciprocal Rank. Our code is open-source and can be found at https://github.com/dice-group/TemporalFC.}},
author = {{Qudus, Umair and Röder, Michael and Kirrane, Sabrina and Ngomo, Axel-Cyrille Ngonga}},
booktitle = {{The Semantic Web – ISWC 2023}},
editor = {{R. Payne, Terry and Presutti, Valentina and Qi, Guilin and Poveda-Villalón, María and Stoilos, Giorgos and Hollink, Laura and Kaoudi, Zoi and Cheng, Gong and Li, Juanzi}},
isbn = {{9783031472398}},
issn = {{0302-9743}},
keywords = {{temporal fact checking · ensemble learning · transfer learning · time-point prediction · temporal knowledge graphs}},
location = {{Athens, Greece}},
pages = {{465–483}},
publisher = {{Springer, Cham}},
title = {{{TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs}}},
doi = {{10.1007/978-3-031-47240-4_25}},
volume = {{14265}},
year = {{2023}},
}
@phdthesis{50449,
abstract = {{The importance of fiber-reinforced plastics for lightweight construction applications is steadily increasing due to their outstanding weight-specific property values. However, a decisive disadvantage of these composite materials has so far been the high material and process costs, which is why fiber-reinforced plastics are almost exclusively used in small to medium-sized series. Optimization of manufacturing methods is of great importance to reduce the production cost. In this study, two concepts are proposed that can optimize vacuum assisted light resin transfer molding (VA-LRTM) further, leading to a possibility of fully automatic process. Conventional VA-LRTM methods are used to produce complex fiber-reinforced plastics (FRP) and hybrid components. Traditional molds used to produce components via VA-LRTM are sealed using polymer materials to prevent the leakage of matrix system. The seals undergo tremendous amounts of thermal, chemical, and mechanical loadings. Thus, sealings must be replaced in short intervals. In the current study, a concept where sealing is achieved by accelerating the curing of matrix system itself with the help of heating elements and catalysts resulting in a self-sealing approach is proposed. Another concern is mold surface contamination during component production. To address this, a modified automatic cleaning technique based on ultrasonic cleaning was proposed which can be integrated into the production line with minimum modification. Both the proposed concepts were validated and optimized using experiments, simulations, and analytical approaches by producing metal-FRP hybrid shafts.}},
author = {{Chalicheemalapalli Jayasankar, Deviprasad}},
keywords = {{fiber-reinforced plastics, resin transfer molding, composites}},
title = {{{Advances In RTM Manufacturing Of Metal-FRP Hybrids By Self-Sealing And In-Mold Cleaning Techniques}}},
year = {{2023}},
}
@inproceedings{35942,
abstract = {{Partial coverage of the traditional grid is one of the factors that con-tribute to the low electrical energy access levels in developing countries. This often results in long distances between the grid and unconnected communities. Microgrids, due to their distributed energy resources, have the potential to increase energy access levels. However, there is limited access to microgrids-related knowledge. The knowledge is essential for the effective and efficient use of energy, operation, and hence sustainability of microgrids. To contribute to the sustainability of microgrids, a Virtual and Interactive Microgrids Learning Environment (VIMLE) for microgrids knowledge transfer is developed. VIMLE development is guided by design-based research. With knowledge transfer and skills acquisition through the use of VIMLE, local capacity for designing, installing, operating and maintenance of microgrids is built. Skilled local capacity will contribute to microgrids sustainability. Hence, improve electrical energy access levels and contribute to the achievement of SDG 7.}},
author = {{Bogere, Paul and Bode, Henrik and Temmen, Katrin}},
booktitle = {{Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems}},
editor = {{E. Auer, Michael and Pachatz, Wolfgang and Rüütmann, Tiia}},
keywords = {{Knowledge Transfer, Microgrids, Sustainability}},
location = {{Wien}},
pages = {{671 -- 679}},
publisher = {{Springer Nature}},
title = {{{Work in Progress: Development of a Virtual and Interactive Microgrids Learning Environment for Microgrids Sustainability – The case of East Africa}}},
doi = {{https://doi.org/10.1007/978-3-031-26876-2_63}},
volume = {{633}},
year = {{2023}},
}
@article{43457,
abstract = {{The production of hydrogen and the utilization of biomass for sustainable concepts of energy conversion and storage require gas sensors that discriminate between hydrogen (H2) and carbon monoxide (CO). Mesoporous copper–ceria (Cu–CeO2) materials with large specific surface areas and uniform porosity are prepared by nanocasting, and their textural properties are characterized by N2 physisorption, powder XRD, scanning electron microscopy, transmission electron microscopy, and energy-dispersive X-ray spectroscopy. The oxidation states of copper (Cu+, Cu2+) and cerium (Ce3+, Ce4+) are investigated by XPS. The materials are used as resistive gas sensors for H2 and CO. The sensors show a stronger response to CO than to H2 and low cross-sensitivity to humidity. Copper turns out to be a necessary component; copper-free ceria materials prepared by the same method show only poor sensing performance. By measuring both gases (CO and H2) simultaneously, it is shown that this behavior can be utilized for selective sensing of CO in the presence of H2.}},
author = {{Baier, Dominik and Priamushko, Tatiana and Weinberger, Christian and Kleitz, Freddy and Tiemann, Michael}},
issn = {{2379-3694}},
journal = {{ACS Sensors}},
keywords = {{Fluid Flow and Transfer Processes, Process Chemistry and Technology, Instrumentation, Bioengineering}},
number = {{4}},
pages = {{1616 -- 1623}},
publisher = {{American Chemical Society (ACS)}},
title = {{{Selective Discrimination between CO and H2 with Copper–Ceria-Resistive Gas Sensors}}},
doi = {{10.1021/acssensors.2c02739}},
volume = {{8}},
year = {{2023}},
}
@inproceedings{34040,
abstract = {{Consider the practical goal of making a desired action profile played,
when the planner can only change the payoffs, bound by
stringent constraints.
Applications include motivating people
to choose the closest school, the closest subway station, or to coordinate
on a communication protocol or an investment strategy.
Employing subsidies and tolls, we adjust the game so that choosing this predefined action profile
becomes strictly dominant.
Inspired mainly by the work of Monderer and Tennenholtz,
where the promised subsidies do not materialise in the not played
profiles, we provide a fair and individually rational game
adjustment, such that the total outside investments sum up
to zero at any profile, thereby facilitating easy and frequent
usage of our adjustment without bearing costs, even if some
players behave unexpectedly. The resultant action profile itself needs no
adjustment. Importantly, we also prove that our adjustment minimises
the general transfer among all such adjustments, counting the total subsidising and taxation.}},
author = {{Polevoy, Gleb and Dziubiński, Marcin}},
booktitle = {{Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence}},
editor = {{De Raedt, Luc}},
keywords = {{adjustment, strictly dominant, fairness, individually rational, transfer, tax, subsidy}},
location = {{Vienna}},
publisher = {{International Joint Conferences on Artificial Intelligence Organization}},
title = {{{Fair, Individually Rational and Cheap Adjustment}}},
doi = {{10.24963/ijcai.2022/64}},
year = {{2022}},
}
@article{34223,
abstract = {{In this study, quasi-unidirectional continuous fiber reinforced thermoplastics (CFRTs) are joined with metal sheets via cold formed cylindrical, elliptical and polygonal pin structures which are directly pressed into the CFRT component after local infrared heating. In comparison to already available studies, the unique novelty is the use of non-rotational symmetric pin structures for the CFRT/metal hybrid joining. Thus, a variation in the fiber orientation in the CFRT component as well as a variation in the non-rotational symmetric pins’ orientation in relation to the sample orientation is conducted. The created samples are consequently mechanically tested via single lap shear experiments in a quasi-static state. Finally, the failure behavior of the single lap shear samples is investigated with the help of microscopic images and detailed photographs. In the single lap shear tests, it could be shown that non-rotational symmetric pin structures lead to an increase in maximum testing forces of up to 74% when compared to cylindrical pins. However, when normalized to the pin foot print related joint strength, only one polygonal pin variation showed increased joint strength in comparison to cylindrical pin structures. The investigation of the failure behavior showed two distinct failure modes. The first failure mode was failure of the CFRT component due to an exceedance of the maximum bearing strength of the pin-hole leading to significant damage in the CFRT component. The second failure mode was pin-deflection due to the applied testing load and a subsequent pin extraction from the CFRT component resulting in significantly less visible damage in the CFRT component. Generally, CFRT failure is more likely with a fiber orientation of 0° in relation to the load direction while pin extraction typically occurs with a fiber orientation of 90°. It is assumed that for future investigations, pin structures with an undercutting shape that creates an interlocking joint could counteract the tendency for pin-extraction and consequently lead to increased maximum joint strengths.}},
author = {{Popp, Julian and Römisch, David and Merklein, Marion and Drummer, Dietmar}},
issn = {{2076-3417}},
journal = {{Applied Sciences}},
keywords = {{Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science}},
number = {{10}},
publisher = {{MDPI AG}},
title = {{{Joining of CFRT/Steel Hybrid Parts via Direct Pressing of Cold Formed Non-Rotational Symmetric Pin Structures}}},
doi = {{10.3390/app12104962}},
volume = {{12}},
year = {{2022}},
}
@article{34224,
abstract = {{Crack growth in structures depends on the cyclic loads applied on it, such as mechanical, thermal and contact, as well as residual stresses, etc. To provide an accurate simulation of crack growth in structures, it is of high importance to integrate all kinds of loading situations in the simulations. Adapcrack3D is a simulation program that can accurately predict the propagation of cracks in real structures. However, until now, this three-dimensional program has only considered mechanical loads and static thermal loads. Therefore, the features of Adapcrack3D have been extended by including contact loading in crack growth simulations. The numerical simulation of crack propagation with Adapcrack3D is generally carried out using FE models of structures provided by the user. For simulating models with contact loading situations, Adapcrack3D has been updated to work with FE models containing multiple parts and necessary features such as coupling and surface interactions. Because Adapcrack3D uses the submodel technique for fracture mechanical evaluations, the architecture of the submodel is also modified to simulate models with contact definitions between the crack surfaces. This paper discusses the newly implemented attribute of the program with the help of illustrative examples. The results confirm that the contact simulation in Adapcrack3D is a major step in improving the functionality of the program.}},
author = {{Joy, Tintu David and Weiß, Deborah and Schramm, Britta and Kullmer, Gunter}},
issn = {{2076-3417}},
journal = {{Applied Sciences}},
keywords = {{Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science}},
number = {{15}},
publisher = {{MDPI AG}},
title = {{{Further Development of 3D Crack Growth Simulation Program to Include Contact Loading Situations}}},
doi = {{10.3390/app12157557}},
volume = {{12}},
year = {{2022}},
}
@article{44041,
author = {{Ahmadov, A. I. and Nagiyev, Sh. M. and Aydin, C. and Tarverdiyeva, V. A. and Orujova, M. Sh. and Badalov, S. V.}},
issn = {{2190-5444}},
journal = {{The European Physical Journal Plus}},
keywords = {{General Physics and Astronomy, Fluid Flow and Transfer Processes}},
number = {{9}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Bound state solutions of Dirac equation: spin and pseudo-spin symmetry in the presence of the combined Manning–Rosen and Yukawa tensor potentials}}},
doi = {{10.1140/epjp/s13360-022-03255-9}},
volume = {{137}},
year = {{2022}},
}
@article{30213,
abstract = {{Requirement changes and cascading effects of change propagation are major sources of inefficiencies in product development and increase the risk of project failure. Proactive change management of requirement changes yields the potential to handle such changes efficiently. A systematic approach is required for proactive change management to assess and reduce the risk of a requirement change with appropriate effort in industrial application. Within the paper at hand, a novel method for Proactive Management of Requirement Changes (ProMaRC) is presented. It is developed in close collaboration with industry experts and evaluated based on workshops, pilot users’ feedback, three industrial case studies from the automotive industry and five development projects from research. To limit the application effort, an automated approach for dependency analysis based on the machine learning technique BERT and semi-automated assessment of change likelihood and impact using a modified PageRank algorithm is developed. Applying the method, the risks of requirement changes are assessed systematically and reduced by means of proactive change measures. Evaluation shows high performance of dependency analysis and confirms the applicability and usefulness of the method. This contribution opens up the research space of proactive risk management for requirement changes which is currently almost unexploited. It enables more efficient product development.}},
author = {{Gräßler, Iris and Oleff, Christian and Preuß, Daniel}},
issn = {{2076-3417}},
journal = {{Applied Sciences}},
keywords = {{Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science}},
number = {{4}},
publisher = {{MDPI AG}},
title = {{{Proactive Management of Requirement Changes in the Development of Complex Technical Systems}}},
doi = {{10.3390/app12041874}},
volume = {{12}},
year = {{2022}},
}
@inproceedings{49433,
author = {{Kaiser, Maximilian Alexander and Rockicki, Pawel and Höschen, Fabian and Wesendahl, Jan-Niklas and Konrad, Stefan and Meyer, Thomas and Marten, Thorsten and Tröster, Thomas}},
keywords = {{Ti-6Al-4V, heat transfer coefficient}},
location = {{Orlando}},
title = {{{ Heat transfer coefficient investigation for hot die quenching process of Ti-6Al-4V alloy}}},
year = {{2022}},
}
@inproceedings{26049,
abstract = {{Content is the new oil. Users consume billions of terabytes a day while surfing on news sites or blogs, posting on social media sites, and sending chat messages around the globe. While content is heterogeneous, the dominant form of web content is text. There are situations where more diversity needs to be introduced into text content, for example, to reuse it on websites or to allow a chatbot to base its models on the information conveyed rather than of the language used. In order to achieve this, paraphrasing techniques have been developed: One example is Text spinning, a technique that automatically paraphrases text while leaving the intent intact. This makes it easier to reuse content, or to change the language generated by the bot more human. One method for modifying texts is a combination of translation and back-translation. This paper presents NATTS, a naive approach that uses transformer-based translation models to create diversified text, combining translation steps in one model. An advantage of this approach is that it can be fine-tuned and handle technical language.}},
author = {{Bäumer, Frederik Simon and Kersting, Joschka and Denisov, Sergej and Geierhos, Michaela}},
booktitle = {{PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021}},
keywords = {{Software Requirements, Natural Language Processing, Transfer Learning, On-The-Fly Computing}},
location = {{Lisbon, Portugal}},
pages = {{221----225}},
publisher = {{IADIS}},
title = {{{IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING}}},
year = {{2021}},
}
@article{5163,
abstract = {{Employing a unique hand-collected sample of 956 credit risk securitization transactions issued by 64 stock-listed
European banks across the EU-13 plus Switzerland over the period from 1997 to 2010, this paper empirically analyzes
the impact of securitization on the issuing banks’ effective tax rates. Our analysis reveals that banks may reduce their
tax expense through securitization via a direct and indirect channel suggesting that tax avoidance may be a further
motive for banks to engage in the securitization business. These baseline findings remain robust under various
robustness checks, especially when implementing structural equation models and controlling for a reverse causality
between the banks’ tax burden and their incentive to securitize. Finally, various sensitivity analyses provide further
important results and implications for tax policies, banking regulation and the ongoing process of revitalizing the
European securitization market.}},
author = {{Uhde, André}},
journal = {{The Quarterly Review of Economics and Finance}},
keywords = {{Securitization, Credit risk transfer, Effective tax rates, European banking}},
pages = {{411--421}},
title = {{{Tax avoidance through securitization}}},
doi = {{10.1016/j.qref.2020.07.008}},
volume = {{79}},
year = {{2021}},
}
@article{35327,
author = {{Wortmann, Martin and Viertel, Klaus and Welle, Alexander and Keil, Waldemar and Frese, Natalie and Hachmann, Wiebke and Krieger, Philipp and Brikmann, Johannes and Schmidt, Claudia and Moritzer, Elmar and Hüsgen, Bruno}},
issn = {{0017-9310}},
journal = {{International Journal of Heat and Mass Transfer}},
keywords = {{Fluid Flow and Transfer Processes, Mechanical Engineering, Condensed Matter Physics}},
publisher = {{Elsevier BV}},
title = {{{Anomalous bulk diffusion of methylene diphenyl diisocyanate in silicone elastomer}}},
doi = {{10.1016/j.ijheatmasstransfer.2021.121536}},
volume = {{177}},
year = {{2021}},
}
@inproceedings{18686,
author = {{Kersting, Joschka and Bäumer, Frederik Simon}},
booktitle = {{PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020}},
keywords = {{Software Requirements, Natural Language Processing, Transfer Learning, On-The-Fly Computing}},
location = {{Lisbon, Portugal}},
pages = {{119----123}},
publisher = {{IADIS}},
title = {{{SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH}}},
year = {{2020}},
}