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See detailSustainability, FinTech and Financial Inclusion
Zetzsche, Dirk Andreas UL; Veidt, Robin UL; Buckley, Ross et al

in European Business Organization Law Review (in press)

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See detailThe EU’s Impact on Data-driven Finance
Zetzsche, Dirk Andreas UL; Buckley, Ross; Arner, Douglas et al

in Common Market Law Review (in press)

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See detailOptimisation of the mechanical properties of Miscanthus lightweight concrete (Top 10 Journal)
Pereira Dias, Patrick; Waldmann, Danièle UL

in Construction and Building Materials (in press)

In this paper, Miscanthus fibres are used to develop lightweight concrete. The amount of Miscanthus and cement, as well as the water/cement ratio, are varied to analyse the behaviour of the mixture ... [more ▼]

In this paper, Miscanthus fibres are used to develop lightweight concrete. The amount of Miscanthus and cement, as well as the water/cement ratio, are varied to analyse the behaviour of the mixture concerning the physical and mechanical properties. The Miscanthus was pre-treated with a silicate sealant or a cement-based fluid. The current paper analyses the impact of the pre-treatment of the Miscanthus fibres on the compressive strength as well as on the long-term deformations. The specimens with a pre-treatment based on a silicate sealant reached a compressive strength of 19.3 MPa, which is higher than the compressive strength of a conventional LC 16/18, a Young's Modulus above 9.9 GPa and a shrinkage deformation of 2244 μm/m. Nevertheless, considering the density the pre-treatment showed not to be beneficial. [less ▲]

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See detailKummer extensions of number fields (the case of rank 2)
Perucca, Antonella UL

E-print/Working paper (in press)

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See detailPredictive and interpretable models via the stacked elastic net
Rauschenberger, Armin UL; Glaab, Enrico UL; van de Wiel, Mark

in Bioinformatics (in press)

Motivation: Machine learning in the biomedical sciences should ideally provide predictive and interpretable models. When predicting outcomes from clinical or molecular features, applied researchers often ... [more ▼]

Motivation: Machine learning in the biomedical sciences should ideally provide predictive and interpretable models. When predicting outcomes from clinical or molecular features, applied researchers often want to know which features have effects, whether these effects are positive or negative, and how strong these effects are. Regression analysis includes this information in the coefficients but typically renders less predictive models than more advanced machine learning techniques. Results: Here we propose an interpretable meta-learning approach for high-dimensional regression. The elastic net provides a compromise between estimating weak effects for many features and strong effects for some features. It has a mixing parameter to weight between ridge and lasso regularisation. Instead of selecting one weighting by tuning, we combine multiple weightings by stacking. We do this in a way that increases predictivity without sacrificing interpretability. Availability and Implementation: The R package starnet is available on GitHub: https://github.com/rauschenberger/starnet. [less ▲]

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See detailUsing cross-border mobility in vocational education and training in the Greater Region SaarLorLux region
Nienaber, Birte UL; Dörrenbächer, H. Peter; Funk, Ines et al

in Cairns, David (Ed.) The Palgrave Handbook of Youth Mobility (in press)

High unemployment rates on one side of a border and training opportunities on the other, the lack of training programmes for specialised jobs on the one side of the border and well defined vocational ... [more ▼]

High unemployment rates on one side of a border and training opportunities on the other, the lack of training programmes for specialised jobs on the one side of the border and well defined vocational programmes on the other side: cross-border vocational education and training (VET) is an increasingly used tool to accommodate the differing needs inside the European Union in recent years. This paper will present, explain and analyse the diverse approaches and concepts of tailor-made as well as more standardized cross-border VET programmes in the Greater Region SaarLorLux (DE, FR, LUX, BE) and explain the different mobility types (from short-time exchange programmes, to internships as well as a formalised division of mobility between days of apprenticeship in one country and days of practical training in another country). This cross-border region is the largest transboundary commuting area and therefore the largest transboundary labour market in the EU. [less ▲]

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See detail§§ 134a bis 135 AktG zu den Pflichten institutioneller Anleger, Vermögensverwalter, Depotbanken und Stimmrechtberater bei der Stimmrechtsausübung
Zetzsche, Dirk Andreas UL

in Zetzsche, Dirk Andreas; Noack, Ulrich (Eds.) Kölner Kommentar zum Aktiengesetz (2021)

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See detailBridging the Gap between Requirements Modeling and Behavior-driven Development
Alferez, Mauricio UL; Pastore, Fabrizio UL; Sabetzadeh, Mehrdad UL et al

in Proceedings of 22nd IEEE / ACM International Conference on Model Driven Engineering Languages and Systems (MODELS) (2020, September)

Acceptance criteria (AC) are implementation agnostic conditions that a system must meet to be consistent with its requirements and be accepted by its stakeholders. Each acceptance criterion is typically ... [more ▼]

Acceptance criteria (AC) are implementation agnostic conditions that a system must meet to be consistent with its requirements and be accepted by its stakeholders. Each acceptance criterion is typically expressed as a natural-language statement with a clear pass or fail outcome. Writing AC is a tedious and error-prone activity, especially when the requirements specifications evolve and there are different analysts and testing teams involved. Analysts and testers must iterate multiple times to ensure that AC are understandable and feasible, and accurately address the most important requirements and workflows of the system being developed. In many cases, analysts express requirements through models, along with natural language, typically in some variant of the UML. AC must then be derived by developers and testers from such models. In this paper, we bridge the gap between requirements models and AC by providing a UML-based modeling methodology and an automated solution to generate AC. We target AC in the form of Behavioral Specifications in the context of Behavioral-Driven Development (BDD), a widely used agile practice in many application domains. More specially we target the well-known Gherkin language to express AC, which then can be used to generate executable test cases. We evaluate our modeling methodology and AC generation solution through an industrial case study in the financial domain. Our results suggest that (1) our methodology is feasible to apply in practice, and (2) the additional modeling effort required by our methodology is outweighed by the benefits the methodology brings in terms of automated and systematic AC generation and improved model precision. [less ▲]

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See detailScientific Instruments in Constcamer Paintings: Pictorial Space as a Context for Interpretation
Koeleman, Floor UL

Scientific Conference (2020, September)

Representations of scientific instruments abound in the seventeenth-century genre of constcamer paintings. These works of art depict interiors full of rich collections of artifacts, natural materials ... [more ▼]

Representations of scientific instruments abound in the seventeenth-century genre of constcamer paintings. These works of art depict interiors full of rich collections of artifacts, natural materials, animals and people, and were created almost exclusively in Antwerp and Brussels. In contrast to material and written sources, such images provide us with a context, captured in paint, which contributes to our understanding of the contemporary meaning of scientific instruments. This presentation will highlight the wide variety of instruments (mainly optical and mathematical) that are included in constcamer paintings. Depending on how we define ‘scientific instrument’, between 63 and 100 constcamer paintings from the early modern period can be identified as including representations of scientific instruments. The study of these images from the perspective of the visual and material culture of science not only provides further insight into the variety of instruments that existed at the time, but also sheds light on how painters produced these representations, either by using an actual object or by resorting to a preexisting depiction. It will be shown that the instruments in the paintings reflect a thriving glass industry and the activity of skilled goldsmiths in local workshops and at the archducal court. While over the course of the seventeenth century the novelty of such instruments declined, their association with knowledge of nature, the role of vision and the art of painting persisted. As such, the instruments in constcamer paintings denote both a practical and a philosophical dimension, relating to the world of the senses as well as the intellect. [less ▲]

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See detailEnergy-efficient deployment in wireless edge caching
Vu, Thang Xuan UL; Chatzinotas, Symeon UL; Ottersten, Björn UL

in Wireless Edge Caching: Modeling, Analysis, and Optimization (2020)

In this chapter, we investigate the performance of edge-caching wireless networks by taking into account the caching capability when designing the signal transmission. We consider hierarchical caching ... [more ▼]

In this chapter, we investigate the performance of edge-caching wireless networks by taking into account the caching capability when designing the signal transmission. We consider hierarchical caching systems in which the contents can be prefetched at both user terminals or the base station and investigate the energy performance under two notable uncoded and coded caching strategies. The backhaul and access throughputs are derived for both caching policies for arbitrary values of base station and user cache sizes from which closed-form expressions for the corresponding system energy efficiency (EE) are obtained. Furthermore, we propose two optimization problems to maximize the system EE and minimize the content delivery time subject to some given quality of service requirements. [less ▲]

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See detailA short Survey on the Cyber Security in Control Systems
Bezzaoucha, Souad UL; Voos, Holger UL

Scientific Conference (2020, July)

In the present survey paper, we give a short, yet exhaustive state-of-the-art about the cyber-security applied to control systems, especially the event-based strategy. Indeed, in the past few years, due ... [more ▼]

In the present survey paper, we give a short, yet exhaustive state-of-the-art about the cyber-security applied to control systems, especially the event-based strategy. Indeed, in the past few years, due to a highest degree of connectivity in modern systems, new related control-specific cyber-physical systems security challengesarise and novel approaches integrating the cyber aspect are developed.Our goal in this paper is then to provide an overview of attack-modeling and security analysis approaches in recent works thatexplore networked control systems subject to cyber-attacks attacks. To this end, we look at the control, estimation, and modeling problems. [less ▲]

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See detailDATA DRIVEN SURGICAL SIMULATIONS
Deshpande, Saurabh UL; Bordas, Stéphane UL; Beex, Lars UL et al

Scientific Conference (2020, July)

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See detailInverse simulation for retrieving the undeformed position for hyperelastic materials : application to breast simulations
Mazier, Arnaud UL; Bilger, Alexandre; Forte, Antonio et al

Scientific Conference (2020, July)

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See detailSystematic derivation of Generalized Langevin Equations for coarse-graining and bridge-scaling procedures
Meyer, Hugues UL

Scientific Conference (2020, July)

In many branches of physics, one must often deal with processes involving a huge number of degrees of freedom. Instead of describing the dynamics of each individual of them, one rather wants to ... [more ▼]

In many branches of physics, one must often deal with processes involving a huge number of degrees of freedom. Instead of describing the dynamics of each individual of them, one rather wants to characterize the process of interest via a small set of observ- ables that capture its main features of the process. Even if the microscopic dynamics can be resolved using Newton’s equations of motion, it quickly becomes a computation- ally very expensive calculation to make. It is however much more convenient to come up with a self-consistent equation of motion for the ’global’ observable of interest itself in order to reduce the complexity of the problem. The development of the Mori-Zwanzig formalism in the 1960’s allowed to systematically derive such equations for arbitrary observables in stationary processes. This framework, derived from first principles by means of projection operator techniques, proves the structure of what is now known as the Generalized Langevin Equation, i.e. a stochastic equation of motion which a priori exhibits memory effects in the form on non-localities in time. We propose to extend the formalism and its corollaries to a broad class of out-of- equilibrium processes. We show that the structure of the Generalized Langevin Equa- tion is overall robust but must be adapted to account for the non-stationary dynamics [1,2]. The function that controls memory effects the stochastic term are related through a relation that can be associated to fluctuation-dissipation theorems. This formalism is very convenient to study two-time auto-correlation functions for which we can write a self-consistent differential equation as well. We finally show a new method to evaluate the memory function from numerical or experimental data [3]. [less ▲]

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See detailPractical aspects of the Bank-Weiser estimator implementation and Biomechanics applications.
Bulle, Raphaël UL; Bordas, Stéphane UL; Chouly, Franz et al

Scientific Conference (2020, July)

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See detailAutomated Repair of Feature Interaction Failures in Automated Driving Systems
Ben Abdessalem, Raja; Panichella, Annibale; Nejati, Shiva UL et al

in Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2020) (2020, July)

In the past years, several automated repair strategies have been proposed to fix bugs in individual software programs without any human intervention. There has been, however, little work on how automated ... [more ▼]

In the past years, several automated repair strategies have been proposed to fix bugs in individual software programs without any human intervention. There has been, however, little work on how automated repair techniques can resolve failures that arise at the system-level and are caused by undesired interactions among different system components or functions. Feature interaction failures are common in complex systems such as autonomous cars that are typically built as a composition of independent features (i.e., units of functionality). In this paper, we propose a repair technique to automatically resolve undesired feature interaction failures in automated driving systems (ADS) that lead to the violation of system safety requirements. Our repair strategy achieves its goal by (1) localizing faults spanning several lines of code, (2) simultaneously resolving multiple interaction failures caused by independent faults, (3) scaling repair strategies from the unit-level to the system-level, and (4) resolving failures based on their order of severity. We have evaluated our approach using two industrial ADS containing four features. Our results show that our repair strategy resolves the undesired interaction failures in these two systems in less than 16h and outperforms existing automated repair techniques. [less ▲]

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See detailPolitiques de synchronisation dans les systèmes multi-agents distribués parallèles
Rousset, Alban UL; Breugnot, Paul; Herrmann, Bénédicte et al

in Rousset, Alban (Ed.) Politiques de synchronisation dans les systèmes multi-agents distribués parallèles (2020, June 29)

Among simulation or modelisation methods, multi-agent systems are an interesting candidate to simulate complex systems. As the size of the model's increases, the use of parallel multi-agent systems is ... [more ▼]

Among simulation or modelisation methods, multi-agent systems are an interesting candidate to simulate complex systems. As the size of the model's increases, the use of parallel multi-agent systems is mandatory but comes with many issues. In this article, we are interested in the impact of synchronization on models design and on their execution. We highlight synchronization problems through model instances then we experimentally analyze the impact of synchronization on large scale test cases. [less ▲]

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See detailToward an SDN-based Data Collection Scheme for Vehicular Fog Computing
Boualouache, Abdelwahab UL; Soua, Ridha UL; Engel, Thomas UL

in IEEE International Conference on Communications ICC'2020 (2020, June 07)

With the integration of fog networks and vehicular networks, Vehicular Fog Computing (VFC) is a promising paradigm to efficiently collect data for improving safety, mobility, and driver experience during ... [more ▼]

With the integration of fog networks and vehicular networks, Vehicular Fog Computing (VFC) is a promising paradigm to efficiently collect data for improving safety, mobility, and driver experience during journeys. To this end, we exploit the Software-Defined Networking (SDN) paradigm to propose a fully-programmable, self-configurable, and context-aware data collection scheme for VFC. This scheme leverages a stochastic model to dynamically estimate the number of fog stations to be deployed. Our simulation results demonstrate that our proposed scheme provides lower latency and higher resiliency compared to classical data collection schemes. [less ▲]

Detailed reference viewed: 61 (4 UL)